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Speaker 1: Hello the Internet, and welcome to this episode of The

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Speaker 1: Weekly Zeitgeist. Uh. These are some of our favorite segments

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Speaker 1: from this week, all edited together into one NonStop infotainment

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Speaker 1: last stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. Lucas, what is something from your search

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Speaker 1: history that is revealing about who you are? Uh? If

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Speaker 1: you think about me, I guess, uh, well, just the

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Speaker 1: last thing that a Google search was images of Joseph

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Speaker 1: Stalin because just a big fan love. Yeah big, well,

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Speaker 1: you know, efficient efficients and left. My wife's relationship to

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Speaker 1: uh two house flies is sort of most similar to

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Speaker 1: Joseph Stalin's relationship to the Russian you know, rural class.

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Speaker 1: So she's like she crushes that, she crushes them, She's

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Speaker 1: furious at their insubordination, and she's constantly making lists. Okay,

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Speaker 1: you know God. Yeah, so I was, yeah, I was

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Speaker 1: looking for a good image that I was like, this

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Speaker 1: is this is you, this is who you are, and

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Speaker 1: it's sort of like him in military uniform, sort of

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Speaker 1: in the middle end of his career. We have this

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Speaker 1: podcast Behind the Bastard hosted by a guy Robert Evans,

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Speaker 1: where he has this theory that it's actually Joseph Stalin's

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Speaker 1: handsomeness and a lot of these different dictators handsomeness that

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Speaker 1: cause really good looking, really hands Look at young Joseph Stalin,

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Speaker 1: you're gonna be like, yeah, I mean it's it's a well,

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Speaker 1: it's the same thing as like CEOs. We're talking about

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Speaker 1: Elon Musk being really tall earlier. There's like some average

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Speaker 1: height of CEOs that they're all almost all over six

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Speaker 1: feet tall, right, which is just like we like tall,

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Speaker 1: like charisma, you know. And also I think it's also

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Speaker 1: partially um there's that thirty Rock episode The Bubble where

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Speaker 1: John Hamm is so good looking that but he tells

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Speaker 1: him he's a terrible doctor or a terrible cook, And

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Speaker 1: I wonder how much of it is just them sort

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Speaker 1: of just everybody being like, yeah, man, that's great, you're

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Speaker 1: you're crushing at Joseph. I think we all live in

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Speaker 1: a bubble. Yeah. I think we're all actually in a

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Speaker 1: bubble of that's almost completely filled with sort of like

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Speaker 1: delusions of some measure. Well, you think we're living in

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Speaker 1: a I don't think we're living in a simulation. Okay,

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Speaker 1: I don't think that. I think this is very real

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Speaker 1: I I adhere to the Raymond Talis view of life.

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Speaker 1: What is it. He's a polymath and he's like, all

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Speaker 1: these theories about time and everything are really great, but

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Speaker 1: at the end of the day, you're still late for

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Speaker 1: the bus. I think that's deep. Things are a lot

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Speaker 1: simpler than we I mean, in l A, no one's

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Speaker 1: late for the bus really because you almost know there

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Speaker 1: are no busses practically, but I mean, people take it.

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Speaker 1: But it's just that there's there's certain life in some

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Speaker 1: ways in time is simpler than we like to imagine,

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Speaker 1: because I think it's sort of it does more complicated

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Speaker 1: theories offer us the possibility of less mortality, and I

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Speaker 1: think that's sort of very seductive. Yeah, I don't think

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Speaker 1: it's true. At the same time, really complicated math gave

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Speaker 1: us the atomic bomb, which was very real. Somewhere in between, well,

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Speaker 1: I think math is real. Yeah, I agree. So Trump

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Speaker 1: was doing his Trump thing at a rally at the

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Speaker 1: end of last week, and people started paying attention to

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Speaker 1: the people behind him because he's just on auto repeat,

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Speaker 1: animatronic Trump, just spitting out the same all the hits.

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Speaker 1: So people's attention drifts to what's going on behind him.

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Speaker 1: And there was a young lady you know, respecting the

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Speaker 1: ship out of the flag, wiping her nose on it,

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Speaker 1: which for some reason people didn't object to that, even

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Speaker 1: though that's the sort of thing that if an NFL

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Speaker 1: player did it, who man, they would freak out. But anyways,

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Speaker 1: I had a real tough time. If Tom Brady did,

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Speaker 1: it'd be tough to figure out how to feel about

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Speaker 1: a lot of people would be really confused. Feeling is

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Speaker 1: disrespectful for the flag, but you can stick that ship

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Speaker 1: all the way up your nose on national television. Um.

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Speaker 1: I do feel really bad for her because she looks

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Speaker 1: like she's you know, middle school aged person and is

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Speaker 1: probably getting a lot of ship. But she's also at

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Speaker 1: a Trump rally, so that's on her. Um. So there's

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Speaker 1: also this dude who was like right over Trump's right here,

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Speaker 1: who seemed to be you know, reacting appropriately because he

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Speaker 1: was like what at a couple of points, like literally

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Speaker 1: mouthing the words of what after Trump said something particularly wild.

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Speaker 1: It was like looking into the middle distance like just

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Speaker 1: kind of uh shocked and horrified as to what the

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Speaker 1: president was saying, and but not like overly so like

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Speaker 1: he wasn't like hamming it up really and then at

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Speaker 1: a certain point, a young woman who looked she really

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Speaker 1: has the same look as Kavanaugh's assistant who was sitting

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Speaker 1: behind him and Dana lash the She's got like that

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Speaker 1: straight burnette hair look that there's apparently like a factory

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Speaker 1: for conservative women that turns these folks out. But she

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Speaker 1: comes up and just like moves him out of the

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Speaker 1: She's just like, you have to leave, and he's like

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Speaker 1: escorted out the other direction. And then there are these

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Speaker 1: other people, a couple of dudes wearing maga hats who

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Speaker 1: aren't doing anything really bad, but a pretty Trump staffer

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Speaker 1: comes up and replaces them and begins just smiling like

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Speaker 1: a cheerleader. It's just like yes. And then another woman

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Speaker 1: comes up and is smiling. So they want the optics

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Speaker 1: of you know, enthusiastic Trump supporting women, uh, and they

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Speaker 1: don't want any sort of dissonance. But it ended up

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Speaker 1: having the vibe of real like invasion of the body

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Speaker 1: snatcher ship. And I'd like to take credit though, because

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Speaker 1: those women came from my new modeling school. Make America

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Speaker 1: Beautiful Again. I'm sure you've heard it on the radio. Yeah, yeah,

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Speaker 1: I'm sure you've heard of us on the radio. We

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Speaker 1: go have a convision at the Marriott next week. Bring

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Speaker 1: your checks, um. But like it's crazy because also what

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Speaker 1: they're saying is is that like, look, you real ugly

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Speaker 1: as Trump supporters got to get the hell out of

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Speaker 1: the way. Like they replaced them with complete plants. Like

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Speaker 1: there was a girl who would just be a quiet

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Speaker 1: love and Trump, you know what I mean, Like she

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Speaker 1: looked like she came straight out of a hot topic

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Speaker 1: and throwing their mocking hand and they were like, oh no, sins,

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Speaker 1: get your got the ass out of here exactly. And

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Speaker 1: somebody who looks like they love God, God in the

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Speaker 1: Arian race, let me get but yeah, the most white

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Speaker 1: woman white woman right Yeah. And apparently ever since the

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Speaker 1: Manifort and Cohen guilty please, the energy at these events

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Speaker 1: has been down. And really, yeah, I thought they would

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Speaker 1: it would never change. I thought there was really nothing

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Speaker 1: that could mean. It doesn't matter. They're still able to

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Speaker 1: fill the places. So it's not like it are they

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Speaker 1: filling it? Are they calling central casting? Yeah? I mean

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Speaker 1: from beginning, right, it was always central right right, Well,

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Speaker 1: at the beginning it was central casting, but then it

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Speaker 1: started being pretty authentically a ground swell, but now it

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Speaker 1: seems like it might be going back to them having

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Speaker 1: to you know, stick staffers here and there to kind

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Speaker 1: of pep things up because everyone's like he's talking about

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Speaker 1: this ship again. Um so I don't know, just you

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Speaker 1: just I mean the level of artifice and politics in generals,

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Speaker 1: I mean it's across the board. Yeah, as much to

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Speaker 1: say it is like like if you think that either

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Speaker 1: of our major political parties aren't like hand picking every

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Speaker 1: single person you see on camera as much as possible,

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Speaker 1: like you know, like you you know, yeah, you look

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Speaker 1: at um was the convention last or I say last year,

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Speaker 1: but with Hilary and you're like, it is the most

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Speaker 1: like overt diversity, like diverse. Here is a woman, and

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Speaker 1: here is and I you know, a Middle Eastern American

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Speaker 1: like and then someone we know there's like a league

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Speaker 1: of like acapella singers and wheelchairs and you're like, this

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Speaker 1: is a better message. But it's just as if it's

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Speaker 1: in to some extent, feels just as artificial to me, Yeah,

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Speaker 1: because it's meant to manipulate us into thinking a certain

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Speaker 1: thing about the candidate. At the same time. To me, yeah,

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Speaker 1: I guess it's just the idea that who you're replacing

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Speaker 1: them with their idea anybody is superlar and it is this. Yeah,

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Speaker 1: there's something about that aesthetic. I mean you could almost

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Speaker 1: it's progressive for Republicans to have a dark haired woman

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Speaker 1: instead of a blonde haired woman. How big Kim Kardashians like, look,

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Speaker 1: the goddamn Jenner's aren't going anywhere, Like yeah, we what's

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Speaker 1: still like Betty and Veronica like levels of diverse exactly

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Speaker 1: watch out now, Brunette. I think, I think, Brunette, it's

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Speaker 1: not the artifice that gets to me because I agree

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Speaker 1: with you, lucas it is it does cross party lines,

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Speaker 1: and sometimes it is nice to see yourself represented in

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Speaker 1: this manner because this is obviously not like acting, you

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Speaker 1: know what I mean, That is just seeing people on television.

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Speaker 1: But what's interesting to me is like how they go

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Speaker 1: about it, Like I want this ship to be behind

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Speaker 1: the scenes, Like you don't know what a podium was? Yeah,

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Speaker 1: who was gonna be standing by a truck and y'all

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Speaker 1: let this little His eyes looked badgy as funk, like

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Speaker 1: they should have known he was not supposed to be

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Speaker 1: standing behind the president. It's like the Wizard of Oz.

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Speaker 1: You're like, really, you put the curtain and the controls

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Speaker 1: directly next to the hologram, like had like a separate

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Speaker 1: room whereby like at least like Ed Harris was in

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Speaker 1: the moon watching Truman, you know what I mean, Like

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Speaker 1: he had a little bit of distance. You were going

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Speaker 1: to see him in the same shot. He wasn't like

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Speaker 1: walking behind Jim Caribean like okay, uh, let's get another

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Speaker 1: Let's get another pretty lady over here. And then but

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Speaker 1: you know, it was a little bit more covert, right,

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Speaker 1: and they weren't even feels like they respect your intelligence

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Speaker 1: a little bit more. You want them to respect respect

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Speaker 1: you with their lives. And Trump doesn't give an his lie.

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Speaker 1: Us have become so lazy and like these that's what

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Speaker 1: I mean. I'm like, come on, you can't even act

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Speaker 1: like we're looking at you right now, like y'all like

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Speaker 1: fuck it. He mastered the superpower of being able to

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Speaker 1: come up with a lazy lie and believe it himself immediately.

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Speaker 1: It's it's really beautiful. It is uh September eleven, Tuesday,

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Speaker 1: the same day the original attacks happened on and seventeen

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Speaker 1: years that's crazy, man. Yeah, I was just thinking about this,

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Speaker 1: and I think I've read other people reflecting on the

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Speaker 1: same thing that the longer we go. Oh it was

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Speaker 1: actually the Frank Rich article that was about how two

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Speaker 1: thousand eight was like a turning point in American history,

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Speaker 1: and he was like, if you stood in the ashes

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Speaker 1: of the Twin Towers to day, like on September twelve,

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Speaker 1: and I told you in seventeen years there wouldn't be

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Speaker 1: another like major terror attack, you'd be like, well, great,

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Speaker 1: we won, Like everything's everything's great. And then he goes

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Speaker 1: on to make the point that you know, actually the

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Speaker 1: most significant event of the past twenty years was the

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Speaker 1: two thousand eight stock market crash, but just in terms

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Speaker 1: of or the Iraq War, right, yeah, if you really

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Speaker 1: want to take it there, I think that whole war,

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Speaker 1: I mean completely destabilized reason for many years. Yeah, yeah,

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Speaker 1: I guess specifically American history. But yeah, the longer we go,

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Speaker 1: it seems like the more anomalous, this looks like it

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Speaker 1: may go down as I don't know, I was trying

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Speaker 1: to think of like some equivalent because it was like

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Speaker 1: such a you know, huge and all consuming, spectacular event

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Speaker 1: when it happened, that like, what is there a historical

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Speaker 1: equivalent of something like that. That was just an anomaly.

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Speaker 1: And I was thinking, like the trojan horse thing or

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Speaker 1: something like that, where it's just like a really lucky

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Speaker 1: strike that took advantage of a key weakness that we

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Speaker 1: just like weren't kind of aware of or ignored, I

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Speaker 1: mean ignored if I don't know that was such a

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Speaker 1: is when that happened, I was only fourteen or fifteen

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Speaker 1: years old or something like that, so that my mind

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Speaker 1: couldn't grasp the gravity of that entire thing like it

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Speaker 1: would today. Um, but just to think like how those

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Speaker 1: attacks were just laid out over the day is so

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Speaker 1: insane that that couldn't have been random. That was just,

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Speaker 1: like you said, an ignoring of something that we should

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Speaker 1: have saw coming. There were a lot of ye, there

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Speaker 1: could be a lot of warnings from the intelligence community

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Speaker 1: that was happening. Yeah, it was. I mean so when

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Speaker 1: you say that it becomes more obscure, what do you

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Speaker 1: mean that we're becoming more and more detached of like

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Speaker 1: from no, no, just like more. I think I assumed

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Speaker 1: that this was going to be the new reality, that

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Speaker 1: there was just gonna be more and more terror attacks

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Speaker 1: in America, and like especially like in the aftermath there

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Speaker 1: was the Anthrax attacks, and I was in d C

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Speaker 1: at the time, and it just seemed like everyone was like, oh, yeah,

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Speaker 1: like this is just the beginning of you know, there

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Speaker 1: was gonna be a war on terror, but the terror

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Speaker 1: was going to be fighting a war back on the

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Speaker 1: United States. And you know, there have been mass shootings

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Speaker 1: and isolated terror attacks here and there, but nothing on

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Speaker 1: the scale. There was also a I think it was

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Speaker 1: an editorial in the few years immediately following September eleventh

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Speaker 1: where they talked about how it was basically a fifty

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Speaker 1: fifty proposition that somebody was going to blow up a

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Speaker 1: major US city with a rogue nuclear weapon like in

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Speaker 1: the next decade, and it was Bob. Yeah, it just

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Speaker 1: seemed like, Okay, this is how things are going to

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Speaker 1: be from now on. And the fact that it has

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Speaker 1: kind of gone into history as this like huge, crazy

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Speaker 1: thing that happened on US soil that we haven't seen

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Speaker 1: a sequel to, I guess is what just what I

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Speaker 1: mean that like, it's not the context I would have

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Speaker 1: expected looking back seventeen years from now. At the time, Yeah, well,

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Speaker 1: I think it just gave a lot of pretext for

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Speaker 1: a lot of other ship to happen, So like, gave

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Speaker 1: a pretext for war, gave a pretext for unwarranted surveillance

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Speaker 1: on the people of the U S. It justified people's

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Speaker 1: Islamophobia in the effects of it are so when you

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Speaker 1: think about where we are today and you can kind

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Speaker 1: of be like, oh, yeah, eleven had a lot to

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Speaker 1: do with that. Yeah, like at least changing the thinking

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Speaker 1: of American people, Like, yeah, I think a lot of

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Speaker 1: the tangible event stuff like yeah, there may not have

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Speaker 1: been another attack or things like that, but it fundamentally

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Speaker 1: changed the culture in yeah, in a way that we're

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Speaker 1: still we're still wrestling with. I mean, yeah, it changed

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Speaker 1: the culture in a way that even our current president

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Speaker 1: is the rhetoric is toxic and vile because of that day. Yeah.

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Speaker 1: And then uh, then we began commodifying the whole patriotism

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Speaker 1: idea thing too, just making that right. Yeah. That's something

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Speaker 1: else that I was thinking about on September eleventh, in

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Speaker 1: particular that it doesn't seem like we have a good, unifying,

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Speaker 1: like way to recognize the anniversary of September eleventh, Like

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Speaker 1: I feel like all of the things that have become

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Speaker 1: associated with recognizing September eleventh are things from the right,

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Speaker 1: like you know, NASCAR rallies and football and you know,

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Speaker 1: respect our flag and stuff, and it just seems like

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Speaker 1: there could be something that the whole country could agree

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Speaker 1: on and get behind. Like you, I think you were

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Speaker 1: talking at one point about how Japan has a nationwide

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Speaker 1: moment of silence. Yeah, for like Nagasaki, Hiroshima, like at

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Speaker 1: the moments where those bombs were dropped, there's a moment

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Speaker 1: of silence. There's another one on March eleventh for the tsunami.

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Speaker 1: So yeah, it's weird. I mean like in in Europe

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Speaker 1: you see it too, like I know, a remembrance day

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Speaker 1: before like the football matches you see proper, Like it's

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Speaker 1: really interesting to see an entire stadium, like even with

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Speaker 1: rival fans just figuring out Like, Okay, shut the funk

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Speaker 1: up for a second. Let's take a moment to be

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Speaker 1: solemn here and reflective on everything. I think to like

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Speaker 1: in today's society that we are so quick to move

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Speaker 1: on to the next thing. Where you know, two thousand

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Speaker 1: one to three, those subsequent years after the attack, it

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Speaker 1: was we were just a different society where we didn't

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Speaker 1: the twenty four hour news cycle wasn't as prevalent as

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Speaker 1: it is today, or social media wasn't even a think

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Speaker 1: or all this type of stuff that if that was

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Speaker 1: going to happen for us, that moment is past, I think,

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Speaker 1: because now it's just like okay nine and level less.

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Speaker 1: Let's reflect, But then tomorrow there will be something that

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Speaker 1: that was right. But even in those years following, I

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Speaker 1: felt like there was still this idea of like we

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Speaker 1: still were connected to it a little bit and rere

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Speaker 1: like that was a dark time and it did have

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Speaker 1: it did did bring people together, for sure, because it

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Speaker 1: was just such a horrific event, But yeah, not to

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Speaker 1: the point where, like I think, now, as time goes on,

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Speaker 1: we're just a little bit more and more we've distanced

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Speaker 1: ourselves a bit. And I don't know. I mean, even

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Speaker 1: though when I go to New York and stuff and

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Speaker 1: I go to the memorial there, there's still very much

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Speaker 1: you can feel it there, you know, like you can

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Speaker 1: understand just the gravity of the situation. But yeah, I

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Speaker 1: think nationally, I'm surprised that we don't really I don't

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Speaker 1: know if it's if it's a thing where, but I

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Speaker 1: don't know, are there real days of like national tragedy

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Speaker 1: that America really has kind of took stock of. I mean,

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Speaker 1: like hold on now, because I mean, like December seven

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Speaker 1: for Pearl Harbor, it's like a people like, oh, yeah,

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Speaker 1: today's December seven. Yeah, like it was the thing for

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Speaker 1: a while and then you know, now people are just

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Speaker 1: it's more of a piece of trivia. I feel like

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Speaker 1: people are like, oh, you know, today was I don't know,

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Speaker 1: maybe that's that speaks to the idea of American resilience

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Speaker 1: to that it's like we're gonna move forward, so we

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Speaker 1: don't need to get hung up. But at the same time,

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Speaker 1: know that I think of what the world looked like

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Speaker 1: on September ten, two thousand one, and how different that was,

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Speaker 1: and then how that kicked off this whole other thing.

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Speaker 1: I mean even that more like this is a little

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Speaker 1: bit of a funny story. But even that morning for

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Speaker 1: me was just different from the end of that day.

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Speaker 1: And like I said, I didn't have the mental capacity

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Speaker 1: to understand the gravity of what was going on. But

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Speaker 1: that morning, September eleven, I woke up that morning go

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Speaker 1: to school, and that was the morning that I found

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Speaker 1: out Michael Jordan was coming back to play for the Wizards,

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Speaker 1: and so I was just announced that he didn't announce

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Speaker 1: it that day. He didn't announce it that day, but

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Speaker 1: that's the day I found out that it was about

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Speaker 1: to happen. I think he officially signed a contract like

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Speaker 1: a couple of days later or a few days later

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Speaker 1: or something like that, but that was the day. On

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Speaker 1: ESPN what day announced Michael Jordan is seriously considering to comeback.

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Speaker 1: And I was distract right, I was distraught, so well

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Speaker 1: it now it means what it supposed to be. But

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Speaker 1: I went to school that day piss like, how dare

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Speaker 1: he come back to the Wizards? This is bullshit? And

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Speaker 1: my Spanish teacher opened up the class second period was like,

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Speaker 1: it's just such a sad day. And at this point

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Speaker 1: I hadn't known about Nina loving yet and I was like, man,

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Speaker 1: it ain't that damn serious guy. It's like Michael Jordan

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Speaker 1: just coming. It's fine, guys. Uh And then like he

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Speaker 1: was like, no, there's a terror attack and I was like, oh,

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Speaker 1: this sounds like. I was like, oh, that's what happened.

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Speaker 1: And like the rest of the day was just such

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Speaker 1: a weird day just to just hearing all this stuff

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Speaker 1: trickle in and seeing the fear and people and at

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Speaker 1: this point I'm in Chicago, so like the Serious Tower

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Speaker 1: was one of the targets and so like gas prices

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Speaker 1: start rocking it up and all this ship. So like

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Speaker 1: the rest of that day just and then put it

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Speaker 1: in perspective and puts it in perspective for me now,

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Speaker 1: Like what I was distraught about at the beginning of

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Speaker 1: the day compared to what actually happened is just so insane.

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Speaker 1: How much of a friends, the feeling of myself and

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Speaker 1: everybody was from when we woke up that morning. So

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Speaker 1: we went to sleep that night. Yeah, it's crazy, Yeah,

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Speaker 1: crazy as a nation. Famously, Time magazine had the Summer

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Speaker 1: of the Shark as their cover in the weeks before,

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Speaker 1: because there had been two shark attacks that summer, but

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Speaker 1: they were kind of high profile and like a pretty

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Speaker 1: young woman like had one of her arms or legs

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Speaker 1: bitten off while surfing, and so they were high profile,

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Speaker 1: and so they were like, this will go down as

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Speaker 1: the as the Summer of the Shark. And then September

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Speaker 1: eleven happened. Um the Leiah died a month before that. Really,

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Speaker 1: I was at disney Land with my grandparents. Really, I

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Speaker 1: just landed when she her plane crash. It was the

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Speaker 1: first time I'd ever flown. Uh so it's the one

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Speaker 1: and only time I experienced the airport without t s A. Yeah,

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Speaker 1: it's crazy. It's crazy, and we're gonna take a quick break.

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Speaker 1: We'll be right back, and we're back. Gentleman by the

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Speaker 1: name of Barack Obama's back, you guys. He gave a

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Speaker 1: speech at the University of Illinois that had just some

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Speaker 1: some great rhetoric that would unite us all if half

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Speaker 1: the country wasn't just like bouncing on the balls of

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Speaker 1: their feet, just ready to jump on whatever he says

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Speaker 1: and be offended by it. But his overall message was

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Speaker 1: that Trump's not America's biggest problem. In America's biggest problem

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Speaker 1: is indifference, which was a nice refreshing message, I think

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Speaker 1: because it's something that people can actually solve and do

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Speaker 1: something about, as opposed to the news cycle and just

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Speaker 1: the zeist in general these days makes people feel a

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Speaker 1: little bit helpless and like they don't really have any

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Speaker 1: control over over the world or you know, the news cool,

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Speaker 1: And I think his point was, you know, get out

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Speaker 1: there and vote, did you guys, hear the speech here

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Speaker 1: any parts of it? Um, I heard it, and I

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Speaker 1: heard I mean I read quotes on Twitter. Yes, there

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Speaker 1: you go. So it's practically like Brock was like sitting

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Speaker 1: next to me, did anything anything. I mean, he's always

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Speaker 1: a moving speaker, and I've seen him and heard him

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Speaker 1: speak a ton of times, and what he's saying is

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Speaker 1: not stuff that I guess I'm unfamiliar with. So I

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Speaker 1: was just like, Okay, cool, cool, Yeah we should be voting. Yeah,

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Speaker 1: we shouldn't be getting you know, complacent or cynic or

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Speaker 1: so was cynical, cynical? Thank you. My brain is not

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Speaker 1: functioning on full form yet. But I I don't know.

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Speaker 1: I think Trump could get a second arm. Yeah, no,

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Speaker 1: I think it's totally possible. It feels almost inevitable. Yeah,

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Speaker 1: I don't know. So some part of me this morning

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Speaker 1: was like a ship, this is really going to rev

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Speaker 1: up the Trump base. But people were saying that that's

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Speaker 1: not necessarily true, that he's gone out and stumped for

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Speaker 1: liberal candidates in the past, and it hasn't like gotten

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Speaker 1: the Republicans out anymore. It's just their levels of participation

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Speaker 1: have stayed the same, and Democrats have shown out in

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Speaker 1: higher numbers, but the right, Like Ben Shapiro was like, Um,

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Speaker 1: Obama lecturing us is how you got Trump in the

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Speaker 1: first place, which is probably what he'd say if he

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Speaker 1: was just worried that Obama talking to the country was

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Speaker 1: like bad for his side. Yeah, I mean, Obama galvanizing

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Speaker 1: the country isn't what caused Trump to be able? So yeah,

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Speaker 1: I mean does it ever feel like you know, these

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Speaker 1: sort of like moments, is are just this endless feedback

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Speaker 1: loop or it's just the same people saying the same

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Speaker 1: things over and over and over and over and over again. Yeah, Like,

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Speaker 1: I mean, I don't know what sort of analysis of

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Speaker 1: actual impact these sort of like like the conversation, Like

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Speaker 1: Obama makes a speech, the right gets upset, the left

427
00:23:59,119 --> 00:24:01,879
Speaker 1: defends it. Like it feels like this sort of is

428
00:24:01,920 --> 00:24:05,760
Speaker 1: happening ad infinitum. Like at what point does it still

429
00:24:06,119 --> 00:24:09,920
Speaker 1: matter to everyone that we that Ben Shapiro criticized Obama, Like,

430
00:24:10,000 --> 00:24:12,879
Speaker 1: I mean, does it still matter? It still matters deeply

431
00:24:12,960 --> 00:24:16,280
Speaker 1: to me because I am a Shapiro head, I'm a

432
00:24:16,440 --> 00:24:19,840
Speaker 1: huge fan. Uh No, I I think his argument is

433
00:24:19,920 --> 00:24:22,919
Speaker 1: disingenuous and bullshit, and I think more of a sign

434
00:24:23,040 --> 00:24:25,960
Speaker 1: of I think it's more of a sign of them

435
00:24:26,080 --> 00:24:29,159
Speaker 1: being a little bit scared. We're worried about because this

436
00:24:29,359 --> 00:24:31,440
Speaker 1: is the first time that Obama has come out and

437
00:24:31,560 --> 00:24:35,119
Speaker 1: directly addressed the state of the nation and Trump in particular.

438
00:24:35,520 --> 00:24:37,119
Speaker 1: And I think he did it in a way that

439
00:24:37,440 --> 00:24:40,879
Speaker 1: wasn't lexury. Like I think sometimes you can look at

440
00:24:41,040 --> 00:24:44,520
Speaker 1: people's words and see what like they'll use the word

441
00:24:44,640 --> 00:24:47,000
Speaker 1: that they want to be true and like, so he

442
00:24:47,480 --> 00:24:50,600
Speaker 1: wished that Obama came off a lecturing, but it was

443
00:24:50,640 --> 00:24:54,639
Speaker 1: really like a unifying message and kind of rhetorically pretty

444
00:24:55,760 --> 00:24:58,480
Speaker 1: smart and not lexury the way that he did it. Yeah,

445
00:24:58,600 --> 00:25:01,200
Speaker 1: And and essentially this speed is the equivalent of a

446
00:25:01,400 --> 00:25:04,720
Speaker 1: U up text from the one that got away, Like

447
00:25:04,840 --> 00:25:07,760
Speaker 1: you know, we did we did our Bay barocks so dirty.

448
00:25:07,800 --> 00:25:10,120
Speaker 1: And then he went on vacation. He lived his best life.

449
00:25:10,960 --> 00:25:13,800
Speaker 1: Uh you know, he's finer than ever. And yeah, and

450
00:25:13,880 --> 00:25:15,520
Speaker 1: he came back and it was just like it's like

451
00:25:15,600 --> 00:25:17,439
Speaker 1: having a cathartic talk with the eggs, like, yeah, man,

452
00:25:17,480 --> 00:25:19,679
Speaker 1: I know I sucked up. You're like, yeah, you did

453
00:25:19,760 --> 00:25:22,080
Speaker 1: sunk up, but hey, you can always change your life.

454
00:25:22,200 --> 00:25:25,080
Speaker 1: But not with me though I've moved on. Yeah, but

455
00:25:25,160 --> 00:25:27,600
Speaker 1: he seemed to be really reaching his hand out to

456
00:25:28,359 --> 00:25:32,200
Speaker 1: everybody except for the powerful and the privileged. So in

457
00:25:32,280 --> 00:25:35,479
Speaker 1: a sense, he may have been lecturing Ben Shapiro if

458
00:25:35,680 --> 00:25:38,320
Speaker 1: because he might be one of the few people who's

459
00:25:38,320 --> 00:25:41,240
Speaker 1: like I am powerful and privileged. That's how I identify.

460
00:25:41,400 --> 00:25:44,600
Speaker 1: Do you think anybody's listening to Obama who doesn't already

461
00:25:44,680 --> 00:25:46,720
Speaker 1: listen to Obama? Yeah? Like, do you think that like

462
00:25:46,840 --> 00:25:49,320
Speaker 1: any part of the right, I think there is actually

463
00:25:49,480 --> 00:25:53,639
Speaker 1: open to listening to the man they literally despise. I

464
00:25:53,680 --> 00:25:55,520
Speaker 1: don't think that that speech is for the right, I know,

465
00:25:55,680 --> 00:25:56,920
Speaker 1: but you know what I mean, I'm just like, so

466
00:25:57,040 --> 00:25:58,840
Speaker 1: the people who are listening, though, are like, what what

467
00:25:59,080 --> 00:26:01,440
Speaker 1: new audiences he reach? I don't think he's probably reaching

468
00:26:01,520 --> 00:26:04,960
Speaker 1: the thirty nine percent of people who are still supporting Trump.

469
00:26:05,119 --> 00:26:07,760
Speaker 1: But Trump didn't win with only those people, and also

470
00:26:07,880 --> 00:26:11,760
Speaker 1: one with people who were Obama voters and then came

471
00:26:11,800 --> 00:26:14,560
Speaker 1: over to the Trump side. And now Trump has lost

472
00:26:14,720 --> 00:26:17,240
Speaker 1: part of the people who voted for him, like not

473
00:26:17,400 --> 00:26:20,800
Speaker 1: a huge part, but still a percentage of them. And

474
00:26:21,359 --> 00:26:24,680
Speaker 1: you know, I think people at home, right, like the

475
00:26:24,720 --> 00:26:27,280
Speaker 1: people who didn't vote in the last election, who you know,

476
00:26:27,520 --> 00:26:30,439
Speaker 1: who didn't feel as inspired I feel like Obama has

477
00:26:30,480 --> 00:26:32,359
Speaker 1: the gift of being a talented speaker, and unfortunately we

478
00:26:32,400 --> 00:26:34,720
Speaker 1: live in a country that sustains itself more on entertainment

479
00:26:34,760 --> 00:26:37,680
Speaker 1: than it does on education, So people need their dick's

480
00:26:37,720 --> 00:26:40,159
Speaker 1: hard to go vote. You know, Yeah, I guess I

481
00:26:40,240 --> 00:26:41,879
Speaker 1: still think Like for me, I guess I always think

482
00:26:41,920 --> 00:26:43,919
Speaker 1: that's a candidate issue, Like you know what I mean,

483
00:26:44,000 --> 00:26:46,520
Speaker 1: Like if Obama makes a million great speeches, but you

484
00:26:46,600 --> 00:26:48,879
Speaker 1: have a shitty candidate, people are still going to be

485
00:26:49,000 --> 00:26:51,320
Speaker 1: less motivated to go vote, But they'll still be motivated

486
00:26:51,359 --> 00:26:55,160
Speaker 1: to vote if they're worried about the alternative. Although we've

487
00:26:55,200 --> 00:26:57,520
Speaker 1: seen in the past with like elections like John Kerry

488
00:26:57,600 --> 00:26:59,600
Speaker 1: where it was like we were voting against Bush and

489
00:26:59,720 --> 00:27:06,280
Speaker 1: not it's not yeah, I mean specifically, he specifically tried

490
00:27:06,320 --> 00:27:10,280
Speaker 1: to address that by connecting people's outrage to the act

491
00:27:10,400 --> 00:27:13,240
Speaker 1: of voting as opposed to and I think he even

492
00:27:13,320 --> 00:27:16,760
Speaker 1: specifically said, like, this is not a popularity contest, Like

493
00:27:16,880 --> 00:27:19,280
Speaker 1: there's some great candidates out there, but like this is

494
00:27:19,359 --> 00:27:22,359
Speaker 1: not Coachella. It's not a rock concert, Like you're not

495
00:27:23,200 --> 00:27:28,040
Speaker 1: going there to be necessarily yeah, like inspired, it's you're

496
00:27:28,160 --> 00:27:31,480
Speaker 1: you're going there to vote to affect change in the

497
00:27:31,560 --> 00:27:34,280
Speaker 1: world around you. So I think what you're talking about

498
00:27:34,359 --> 00:27:36,600
Speaker 1: is specifically something he was trying to address. So there

499
00:27:36,600 --> 00:27:38,680
Speaker 1: will be no two Pac holograms at the polls. I

500
00:27:38,840 --> 00:27:42,160
Speaker 1: guess that's why I was going. It might be the rock.

501
00:27:44,720 --> 00:27:47,119
Speaker 1: I voted stickers, get people out. You can put that

502
00:27:47,200 --> 00:27:50,639
Speaker 1: on your Instagram. Should we make those cuter? Yeah? Do

503
00:27:50,760 --> 00:27:52,679
Speaker 1: we need a mural like and I voted mural at

504
00:27:52,720 --> 00:27:55,600
Speaker 1: every poll. Yeah. I'll come take Instagram photos of you

505
00:27:55,680 --> 00:27:59,560
Speaker 1: if you just go vote. Let's move on to the

506
00:27:59,720 --> 00:28:04,439
Speaker 1: US Open, which was the US Open final between Serena

507
00:28:04,480 --> 00:28:10,480
Speaker 1: Williams and Naomi Osaka, was unexpectedly also a really upsetting

508
00:28:10,920 --> 00:28:16,360
Speaker 1: event where you know, half of the crowd was doing crying.

509
00:28:16,800 --> 00:28:20,680
Speaker 1: It was it was a lot, so I mean for

510
00:28:20,800 --> 00:28:24,800
Speaker 1: people who didn't watch it. I mean it was basically

511
00:28:24,840 --> 00:28:29,360
Speaker 1: a situation where the judge, like the umpire, the umpire

512
00:28:30,000 --> 00:28:34,680
Speaker 1: penalized Serena for communicating with her coach, and then it

513
00:28:34,840 --> 00:28:38,560
Speaker 1: just sort of snowballed from there with like penalized her

514
00:28:38,680 --> 00:28:42,320
Speaker 1: for breaking her racket, then penalized her for like all

515
00:28:42,400 --> 00:28:46,000
Speaker 1: these different things that I've seen so often happen in

516
00:28:46,240 --> 00:28:50,040
Speaker 1: men's tennis. You mean, go unpunished. Yeah, go unpunished, so

517
00:28:50,880 --> 00:28:54,400
Speaker 1: so common. It was a ship man because the game there,

518
00:28:54,520 --> 00:28:57,520
Speaker 1: the match rather, was really shaping up to be really

519
00:28:57,560 --> 00:29:01,680
Speaker 1: good because namen Osaka, who's twenty years old, was giving

520
00:29:01,960 --> 00:29:04,719
Speaker 1: Serena to work in that first set, and I was like, Yo,

521
00:29:04,880 --> 00:29:06,440
Speaker 1: this is gonna be a really good match. And that

522
00:29:06,520 --> 00:29:09,080
Speaker 1: second set started in Serena was looking like, you know,

523
00:29:09,200 --> 00:29:13,000
Speaker 1: Serena can come back in finals. It's like yeah, exactly,

524
00:29:13,280 --> 00:29:15,120
Speaker 1: and I thought, Oh, we're gonna we're gonna see like

525
00:29:15,200 --> 00:29:18,040
Speaker 1: a fucking like the three set just nail bitter here.

526
00:29:18,440 --> 00:29:21,680
Speaker 1: And then yeah, the umpire just his rigidity and just

527
00:29:21,800 --> 00:29:23,920
Speaker 1: like he just started taking her to task by the

528
00:29:24,040 --> 00:29:26,360
Speaker 1: like using the letter of the law to really get

529
00:29:26,480 --> 00:29:28,640
Speaker 1: at her. And you know, I think on one hand,

530
00:29:28,680 --> 00:29:30,120
Speaker 1: a lot of people take you like, you know, she

531
00:29:30,360 --> 00:29:33,080
Speaker 1: lost it or whatever. It's like, Yo, first of all,

532
00:29:33,200 --> 00:29:36,280
Speaker 1: have you seen like men's tennis before or tennis? Are

533
00:29:36,320 --> 00:29:39,480
Speaker 1: you just seeing sports? Yeah, people are going to lose

534
00:29:39,560 --> 00:29:42,760
Speaker 1: it because this is they work their entire lives for

535
00:29:42,960 --> 00:29:45,880
Speaker 1: moments like this, and in Serena's case, to win her

536
00:29:45,880 --> 00:29:49,200
Speaker 1: twenty four Grand Slam and literally cementor place as a

537
00:29:49,320 --> 00:29:53,080
Speaker 1: go o a te goat uh and yeah it was.

538
00:29:53,240 --> 00:29:55,480
Speaker 1: It was a real shame because by the end, you know,

539
00:29:55,680 --> 00:29:58,360
Speaker 1: she's a competitor. He was sucking her over with a

540
00:29:58,440 --> 00:30:00,720
Speaker 1: lot of these calls and she std and it just

541
00:30:00,880 --> 00:30:04,360
Speaker 1: exacerbated the situation and it completely ruined the moment for

542
00:30:04,480 --> 00:30:07,440
Speaker 1: Naomi Osaka, who I feel like they do not talk

543
00:30:07,680 --> 00:30:11,680
Speaker 1: enough about how good she looks as a player, because

544
00:30:11,720 --> 00:30:13,960
Speaker 1: a lot of this has been around. It's either been

545
00:30:14,520 --> 00:30:18,680
Speaker 1: Serena's too hysterical or unsportsman or she was a victim

546
00:30:18,720 --> 00:30:21,600
Speaker 1: of sexism, which I totally agree with that take the

547
00:30:21,760 --> 00:30:24,040
Speaker 1: unsportsman like ship. Shut the funk miss me with that.

548
00:30:24,440 --> 00:30:26,680
Speaker 1: But I feel like there needs to be more praise

549
00:30:26,720 --> 00:30:28,760
Speaker 1: for Naomi Osaka to because man, that was a shitty

550
00:30:28,800 --> 00:30:31,400
Speaker 1: way for her to have to experience her first Grand

551
00:30:31,440 --> 00:30:33,640
Speaker 1: Slam title. I mean like when they announced her as

552
00:30:33,640 --> 00:30:35,640
Speaker 1: a winner, they fucking booed and you could just see

553
00:30:36,000 --> 00:30:39,840
Speaker 1: it destroyed her to win. And for me, I was

554
00:30:40,000 --> 00:30:43,120
Speaker 1: really conflicted during the whole thing because Naomi Osaka, I

555
00:30:43,240 --> 00:30:46,000
Speaker 1: see a lot of myself as a black knees person

556
00:30:46,160 --> 00:30:49,080
Speaker 1: up there. I was like, yo, I was so conflicted.

557
00:30:49,120 --> 00:30:51,840
Speaker 1: I was like Serena or the black and knees. Girl, Like,

558
00:30:52,920 --> 00:30:56,120
Speaker 1: I've never I've never had anything like this, and it

559
00:30:56,320 --> 00:31:00,360
Speaker 1: was a very I could feel everything Naomi Osac was

560
00:31:00,560 --> 00:31:03,800
Speaker 1: as an American as a Japanese person. She kept bowing

561
00:31:03,880 --> 00:31:06,720
Speaker 1: to Serena because she has the most utmost respect for

562
00:31:06,760 --> 00:31:10,360
Speaker 1: Serena as a player. She even apologized for winning, which

563
00:31:10,480 --> 00:31:14,000
Speaker 1: broke my heart that she could tell that the audience

564
00:31:14,360 --> 00:31:17,280
Speaker 1: was not happy with the result and she felt bad

565
00:31:17,360 --> 00:31:19,600
Speaker 1: that she won, and you know, she did a really

566
00:31:19,680 --> 00:31:22,960
Speaker 1: great job and in the finals. Yeah, it's not like

567
00:31:23,200 --> 00:31:25,120
Speaker 1: they just picked somebody from the crowd and you wont

568
00:31:25,320 --> 00:31:28,440
Speaker 1: like playing very well. You you you got there. Yeah,

569
00:31:28,640 --> 00:31:30,480
Speaker 1: you got there. And I know that's probably gotta suck

570
00:31:30,520 --> 00:31:33,320
Speaker 1: too to know, like your opponent was kind of psyched

571
00:31:33,360 --> 00:31:35,480
Speaker 1: out by the ref and maybe didn't give you their

572
00:31:35,560 --> 00:31:39,400
Speaker 1: best performance and it's not as satisfying. But man, she's back.

573
00:31:39,960 --> 00:31:44,640
Speaker 1: Who the one who won? Yeah, she's mean, she ain't

574
00:31:44,640 --> 00:31:48,600
Speaker 1: going anywhere. Religian King said in her up ed in

575
00:31:48,680 --> 00:31:51,680
Speaker 1: the Washington Post about this that she's like the future

576
00:31:51,720 --> 00:31:54,280
Speaker 1: of the game. Basically that it should have been just

577
00:31:54,520 --> 00:31:58,280
Speaker 1: sort of a torch passing or you know, the greatest

578
00:31:58,320 --> 00:32:01,760
Speaker 1: of all time versus the up and coming next greatest

579
00:32:02,520 --> 00:32:06,520
Speaker 1: you know, for Serena, who during this tournament has faced

580
00:32:07,160 --> 00:32:11,200
Speaker 1: the guy who heads up the French open criticizing her

581
00:32:11,280 --> 00:32:13,760
Speaker 1: and like saying he wouldn't let her wear her like

582
00:32:13,920 --> 00:32:17,040
Speaker 1: cat's hood anymore. And just like all this ship where

583
00:32:17,120 --> 00:32:22,000
Speaker 1: it's just sort of an outdated patriarchy kind of fucking

584
00:32:22,080 --> 00:32:25,320
Speaker 1: with her and she's struggling to be you know, recognized

585
00:32:25,360 --> 00:32:28,320
Speaker 1: as like the greatest athlete of all time without this

586
00:32:28,560 --> 00:32:31,640
Speaker 1: like sexist double standard. And then like this dude comes

587
00:32:31,760 --> 00:32:35,560
Speaker 1: and starts fucking, you know, get getting in her face

588
00:32:35,680 --> 00:32:39,760
Speaker 1: and like you know, seemingly having a very clear like

589
00:32:39,920 --> 00:32:43,000
Speaker 1: double standard and like very rigid against her. It just

590
00:32:43,040 --> 00:32:45,280
Speaker 1: seemed I don't know, I can't I can see where

591
00:32:45,360 --> 00:32:47,960
Speaker 1: the where she was coming from. I mean, it is

592
00:32:48,320 --> 00:32:53,240
Speaker 1: is sexist. That cartoon that that Australian person made today

593
00:32:53,320 --> 00:32:58,360
Speaker 1: also paints it as racist as well. Was the cartoon

594
00:32:58,640 --> 00:33:02,840
Speaker 1: the guy made Serena look you should go look at it.

595
00:33:02,920 --> 00:33:07,080
Speaker 1: It's um he made Serena just look like the angry

596
00:33:07,160 --> 00:33:12,120
Speaker 1: black woman. Uh. He made Osaka look white and basically

597
00:33:12,240 --> 00:33:16,840
Speaker 1: painted it as what you know what they like all

598
00:33:16,920 --> 00:33:22,200
Speaker 1: its stomping on her racket, having yeah, yeah, um. And

599
00:33:22,400 --> 00:33:25,120
Speaker 1: you know that's another part of it too, where this

600
00:33:25,400 --> 00:33:29,840
Speaker 1: this man couldn't. Here's the thing man, as as somebody

601
00:33:29,880 --> 00:33:32,880
Speaker 1: who loves sports, who has played sports, who plays sports,

602
00:33:33,640 --> 00:33:36,400
Speaker 1: there is a certain thing that you recognized as a fan,

603
00:33:36,480 --> 00:33:39,400
Speaker 1: as an athlete, and and usually as a referee, that

604
00:33:39,440 --> 00:33:41,959
Speaker 1: when it comes down to the finals, if you are

605
00:33:42,120 --> 00:33:46,320
Speaker 1: the referee, the umpire, you gotta have thicker skins. It's

606
00:33:46,360 --> 00:33:48,320
Speaker 1: the final that you have to let some things go

607
00:33:48,520 --> 00:33:52,560
Speaker 1: because this is literally the height of these guys and

608
00:33:52,720 --> 00:33:57,680
Speaker 1: these women's uh professional careers and everything is on the line.

609
00:33:58,200 --> 00:34:02,840
Speaker 1: So the fact that he could take a woman and

610
00:34:02,960 --> 00:34:06,480
Speaker 1: a black woman saying you're a thief when dude, I'm

611
00:34:06,560 --> 00:34:10,719
Speaker 1: sure your wife has said something worse to you. I'm

612
00:34:10,840 --> 00:34:13,239
Speaker 1: sure I didn't want to stand for it then either.

613
00:34:13,560 --> 00:34:17,120
Speaker 1: So this is his opportunity. Do you see how high

614
00:34:17,239 --> 00:34:20,640
Speaker 1: I see this? You see how high I I finally

615
00:34:20,800 --> 00:34:26,880
Speaker 1: can be imp Jennifer. My name is Serena, So you

616
00:34:27,000 --> 00:34:31,239
Speaker 1: know it's it's so amazing to me how thin of

617
00:34:31,400 --> 00:34:35,520
Speaker 1: skin men get when it comes to a woman shutting

618
00:34:35,560 --> 00:34:39,560
Speaker 1: you down. Where you can take so much from other

619
00:34:39,640 --> 00:34:43,120
Speaker 1: men because and and and and I know we have

620
00:34:43,239 --> 00:34:46,040
Speaker 1: this mucheesmore thing about with each other, where, man, you

621
00:34:46,120 --> 00:34:48,759
Speaker 1: ain't gonna see that, blah blah blah. But how long

622
00:34:48,840 --> 00:34:50,520
Speaker 1: does it take you to get to the point where

623
00:34:50,560 --> 00:34:53,680
Speaker 1: you're like, I'm finally going to do something where all

624
00:34:53,800 --> 00:34:56,399
Speaker 1: this all Serena had to do was say, you owe

625
00:34:56,440 --> 00:34:58,479
Speaker 1: me an apology, and you're a thief because you stole

626
00:34:58,520 --> 00:35:00,360
Speaker 1: a point from me and you're gonn to take a

627
00:35:00,440 --> 00:35:05,600
Speaker 1: game away from her, right, you know what I mean?

628
00:35:06,400 --> 00:35:10,200
Speaker 1: That's literally the only thing that I can equate him as.

629
00:35:10,719 --> 00:35:14,360
Speaker 1: There were so many dimensions of gravity to this match,

630
00:35:14,640 --> 00:35:18,120
Speaker 1: not just that it was these two women, especially being

631
00:35:18,200 --> 00:35:20,560
Speaker 1: women of color in a sport that has traditionally been

632
00:35:20,600 --> 00:35:23,600
Speaker 1: so dominated by white people. There was a lot going on.

633
00:35:24,200 --> 00:35:26,680
Speaker 1: And the other thing about the coverage was they were

634
00:35:26,760 --> 00:35:30,000
Speaker 1: so insistent on her just being Japanese. It was kind

635
00:35:30,000 --> 00:35:32,640
Speaker 1: of bugging me out too, because there's this other thing

636
00:35:32,680 --> 00:35:36,640
Speaker 1: about being biracial where people sometimes cannot see you as

637
00:35:36,719 --> 00:35:40,520
Speaker 1: being biracial right there, like your Japanese. But then they weren't.

638
00:35:40,560 --> 00:35:42,520
Speaker 1: No one was saying that her father is Haitian. You

639
00:35:42,600 --> 00:35:44,000
Speaker 1: know what I mean? This she is She is just

640
00:35:44,160 --> 00:35:46,799
Speaker 1: as much Haitian as she is Japanese as she is American,

641
00:35:47,200 --> 00:35:49,600
Speaker 1: and it was interesting to see because even there are

642
00:35:49,640 --> 00:35:52,880
Speaker 1: times for me personally where I have to like people

643
00:35:52,880 --> 00:35:55,400
Speaker 1: are like, oh, you're Japanese, I'm half black, I'm half Japanese,

644
00:35:55,480 --> 00:35:57,480
Speaker 1: or people only choose to see a dimension of your

645
00:35:57,520 --> 00:36:01,640
Speaker 1: racial identity when it suits a certain context. And it was. Yeah,

646
00:36:01,680 --> 00:36:04,359
Speaker 1: there was just a lot going on in that match,

647
00:36:04,719 --> 00:36:07,120
Speaker 1: But at the end of the day, I'm just glad

648
00:36:07,360 --> 00:36:10,560
Speaker 1: that you know what, Naomio Saka, you got your Grand Slam.

649
00:36:10,719 --> 00:36:12,600
Speaker 1: You're twenty years old, you have your entire career ahead

650
00:36:12,600 --> 00:36:14,960
Speaker 1: of you, shout out to Serena, though she tried her

651
00:36:15,000 --> 00:36:18,360
Speaker 1: best to calm the whole crowd down by being like, yo,

652
00:36:18,480 --> 00:36:21,040
Speaker 1: let's knock the blueing off. But yeah, it was just

653
00:36:21,160 --> 00:36:24,640
Speaker 1: a really really bittersweet kind of moment, and no, no

654
00:36:24,760 --> 00:36:27,000
Speaker 1: matter who you're you're supporting, like, there was no way

655
00:36:27,040 --> 00:36:29,520
Speaker 1: to feel good about it. It's unfortunate because I can't

656
00:36:29,560 --> 00:36:32,640
Speaker 1: think of any other great. Oh that's probably not true,

657
00:36:33,000 --> 00:36:37,280
Speaker 1: but in modern sports time, I can't them. By modern,

658
00:36:37,320 --> 00:36:40,160
Speaker 1: I mean like the past to thirty years, last year

659
00:36:40,200 --> 00:36:42,640
Speaker 1: I can remember. Yeah, I can't think of any great

660
00:36:43,680 --> 00:36:47,000
Speaker 1: who has had to deal with what Serena has had

661
00:36:47,080 --> 00:36:51,800
Speaker 1: to deal with in this tournament where you know, you

662
00:36:51,880 --> 00:36:54,759
Speaker 1: have an umpire calling you a cheat, or you have

663
00:36:56,080 --> 00:37:02,280
Speaker 1: you know this Marain, your professional aalism and your athleticism

664
00:37:02,320 --> 00:37:05,200
Speaker 1: and how great you are, like this is what happens

665
00:37:05,600 --> 00:37:07,600
Speaker 1: like the time. This wouldn't have happened to the Tom

666
00:37:07,640 --> 00:37:09,640
Speaker 1: Brady's of the world, or the Leron james Is of

667
00:37:09,719 --> 00:37:13,560
Speaker 1: the world, or the Michael Jordan's or the Kobe's like that.

668
00:37:14,000 --> 00:37:18,800
Speaker 1: You know, the painted narrative would have been completely different

669
00:37:19,400 --> 00:37:21,960
Speaker 1: if they had damn the exact same thing that Serena

670
00:37:22,040 --> 00:37:25,279
Speaker 1: Williams did. And that's sad to me. That's so sad.

671
00:37:25,920 --> 00:37:31,719
Speaker 1: It's unfortunate. Yeah, tennis needs to work on itself. Let's

672
00:37:31,760 --> 00:37:34,920
Speaker 1: put it that way, because it's Yeah, she's the best

673
00:37:35,120 --> 00:37:38,560
Speaker 1: thing that your sport has gone. She revived people fucking

674
00:37:38,640 --> 00:37:43,120
Speaker 1: funk with tennis because yeah, by far, yes, I watched

675
00:37:43,160 --> 00:37:45,840
Speaker 1: the ESPN clips because of Serena. Yeah, look at you.

676
00:37:46,040 --> 00:37:48,960
Speaker 1: I watched the matches, but I watched the clips on ESPN.

677
00:37:49,160 --> 00:37:52,759
Speaker 1: Your Lacoste polo looks real. I got a couple of

678
00:37:52,800 --> 00:37:55,040
Speaker 1: tennis rackets and I might swing once in a while,

679
00:37:55,239 --> 00:38:00,040
Speaker 1: but I use them as guitars, they props, you know

680
00:38:00,080 --> 00:38:02,200
Speaker 1: what I'm saying, have a sketch comedy, but I got

681
00:38:02,320 --> 00:38:07,640
Speaker 1: him speaking of inconceivable, I guess kind of the midterms

682
00:38:07,680 --> 00:38:11,360
Speaker 1: are getting tighter. Uh So, a couple of things to

683
00:38:11,800 --> 00:38:15,960
Speaker 1: point out. First, the GOP is really scared of betto

684
00:38:16,239 --> 00:38:20,960
Speaker 1: Rook and he's just he's closing in. Yeah, he's They're

685
00:38:21,040 --> 00:38:23,239
Speaker 1: they're basically neck and neck at this point, and it

686
00:38:23,400 --> 00:38:25,200
Speaker 1: was not supposed to be like that. And now you

687
00:38:25,280 --> 00:38:27,800
Speaker 1: have people like John Cornyan, who's the number two in

688
00:38:27,880 --> 00:38:31,200
Speaker 1: the Senate, being like basically kind of waving his arms

689
00:38:31,280 --> 00:38:33,719
Speaker 1: to donors, being like, you know, for donors who are

690
00:38:33,760 --> 00:38:36,560
Speaker 1: on the sidelines who think this is you know, this

691
00:38:36,680 --> 00:38:39,560
Speaker 1: isn't a problem. It's a problem. And I think a

692
00:38:39,640 --> 00:38:41,879
Speaker 1: lot of the funds from the party are like being

693
00:38:41,960 --> 00:38:45,279
Speaker 1: diverted into Texas because a thing that should have been

694
00:38:45,360 --> 00:38:51,000
Speaker 1: a like a fucking layup of a re election is

695
00:38:51,120 --> 00:38:54,000
Speaker 1: so weird and unlikable that like, well, I think, yeah,

696
00:38:54,080 --> 00:38:57,040
Speaker 1: I think Texans have finally realized this, Like this guy

697
00:38:57,120 --> 00:39:00,440
Speaker 1: eats his own bookers. We can't have him, like, you know,

698
00:39:00,920 --> 00:39:03,800
Speaker 1: like come on, we're Texas, Like we love guns and

699
00:39:03,880 --> 00:39:08,600
Speaker 1: we love man but this, Yeah, he's like you're just

700
00:39:08,680 --> 00:39:11,279
Speaker 1: like you see the video of him trying to dunk. Yes,

701
00:39:11,520 --> 00:39:15,440
Speaker 1: oh boy, the trampoline thing. Oh boy. We were talking

702
00:39:16,000 --> 00:39:17,920
Speaker 1: trying to whether or not is it intentional that he

703
00:39:18,239 --> 00:39:20,600
Speaker 1: because there's no, I don't think there's it makes me

704
00:39:20,760 --> 00:39:24,000
Speaker 1: like him, Like, I mean, he's Canadian, so I gotta

705
00:39:24,000 --> 00:39:27,160
Speaker 1: give him maybe some points in the I and was like, Okay,

706
00:39:27,239 --> 00:39:28,920
Speaker 1: this will be funny. I'll like go up and like

707
00:39:29,000 --> 00:39:31,000
Speaker 1: won't even come close. But if he thought he was

708
00:39:31,040 --> 00:39:34,880
Speaker 1: going to nail that, it's so he has he I

709
00:39:34,960 --> 00:39:37,239
Speaker 1: mean just looking at him, he looks like someone with

710
00:39:37,320 --> 00:39:41,480
Speaker 1: the inflated sense of self and overestimation, like the self confident.

711
00:39:42,360 --> 00:39:45,520
Speaker 1: Yeah that he's like, oh watch me fucking smack because thing,

712
00:39:45,600 --> 00:39:47,600
Speaker 1: I just think I don't think he has any self confidence.

713
00:39:47,840 --> 00:39:50,200
Speaker 1: I think he's been beaten down and believe his entire

714
00:39:50,320 --> 00:39:54,400
Speaker 1: life that he's Also we're forgetting September eleventh, anniversary of

715
00:39:54,400 --> 00:39:56,520
Speaker 1: the day he got caught watching porn on Twitter. Right,

716
00:39:56,760 --> 00:40:00,840
Speaker 1: big day for me because it's the first time I

717
00:40:00,920 --> 00:40:03,320
Speaker 1: saw him as like a relatable human being that I

718
00:40:03,440 --> 00:40:07,200
Speaker 1: could like jel with watching well, you know, yeah, with

719
00:40:07,400 --> 00:40:09,440
Speaker 1: women that look like his wife, and I was like,

720
00:40:09,600 --> 00:40:12,719
Speaker 1: you know what, you have your values and stick to

721
00:40:13,480 --> 00:40:15,800
Speaker 1: He's not like these other fucking grifters. Man. He like,

722
00:40:16,239 --> 00:40:18,399
Speaker 1: you know what, I love my bond white woman wife,

723
00:40:18,440 --> 00:40:20,759
Speaker 1: and I will I will not stand up for her

724
00:40:20,800 --> 00:40:23,120
Speaker 1: when Donald Trump's talk about it, and I will watch

725
00:40:23,160 --> 00:40:28,160
Speaker 1: another man. But he's like Game of Thrones or he's

726
00:40:28,160 --> 00:40:32,040
Speaker 1: just been so beat down. He's like, yes, you know,

727
00:40:32,440 --> 00:40:34,719
Speaker 1: how how did the Twitter thing happen? He like put

728
00:40:34,800 --> 00:40:37,880
Speaker 1: a search in or put a like I think he

729
00:40:38,280 --> 00:40:41,120
Speaker 1: searched for like well, I don't know, there's like sex

730
00:40:41,239 --> 00:40:44,080
Speaker 1: gifts at you know, at sexy aft Twitter, and he's

731
00:40:44,200 --> 00:40:46,640
Speaker 1: liked it. And then someone noticed in his likes like

732
00:40:47,120 --> 00:40:48,800
Speaker 1: why did Tykeer was like this like two and a

733
00:40:48,800 --> 00:40:51,880
Speaker 1: half minute video of his wife, you know, fingering herself

734
00:40:52,200 --> 00:40:55,439
Speaker 1: to him getting sucked or whatever, and then like people

735
00:40:55,480 --> 00:40:57,840
Speaker 1: there lookalikes or whatever. And then it was up for

736
00:40:57,960 --> 00:41:00,719
Speaker 1: like a while and uh and then he came up

737
00:41:00,719 --> 00:41:04,359
Speaker 1: with the whole like I got hacked by someone super cool.

738
00:41:06,040 --> 00:41:08,719
Speaker 1: Yeah it was it was it showed him in his likes, right, Yeah.

739
00:41:09,160 --> 00:41:13,040
Speaker 1: But you know what they always say about that politician like, oh,

740
00:41:13,880 --> 00:41:15,640
Speaker 1: George bush one, because he's someone you want to grab

741
00:41:15,719 --> 00:41:18,319
Speaker 1: a beer with. It's like, that's the first time I've

742
00:41:18,320 --> 00:41:20,360
Speaker 1: ever felt that about Ted Cruz. Yeah, it's like I

743
00:41:20,480 --> 00:41:23,480
Speaker 1: want to you watch porn. I like porn. We can,

744
00:41:23,719 --> 00:41:26,080
Speaker 1: but he has a connection, but he won't be upfront

745
00:41:26,080 --> 00:41:27,600
Speaker 1: about it like you would, you know what I mean.

746
00:41:29,600 --> 00:41:31,800
Speaker 1: I don't know. I'm very happy with Heidi. You know,

747
00:41:32,000 --> 00:41:36,840
Speaker 1: three beers in we're talking about BB dubs. I like POGs.

748
00:41:41,360 --> 00:41:50,080
Speaker 1: He's like, all right, I like fatass white Jesus. And

749
00:41:50,160 --> 00:41:53,280
Speaker 1: then the other thing is the Senate Democrats. They're starting

750
00:41:53,280 --> 00:41:56,799
Speaker 1: to fucking start feeling themselves and there's now they're they're

751
00:41:56,800 --> 00:41:59,160
Speaker 1: catching a whiff of a blue nami, not even blue

752
00:41:59,200 --> 00:42:01,680
Speaker 1: wave where they think the Senate could go to the Democrats.

753
00:42:03,840 --> 00:42:06,279
Speaker 1: I'm already um I think as we can tell, we've

754
00:42:06,320 --> 00:42:10,719
Speaker 1: already been very apprehensive about even acknowledging the polls, even

755
00:42:10,800 --> 00:42:13,000
Speaker 1: though like there's like we're seeing in real time that

756
00:42:13,320 --> 00:42:16,560
Speaker 1: a lot of these Democratic candidates are winning. But yeah,

757
00:42:16,960 --> 00:42:19,239
Speaker 1: it looks like when they do the math, like because

758
00:42:19,320 --> 00:42:21,680
Speaker 1: now Cook Political Report has moved a few more races

759
00:42:21,760 --> 00:42:25,000
Speaker 1: into toss ups, which means like it's a shot if

760
00:42:25,040 --> 00:42:27,839
Speaker 1: the Democrats win every race that is in the toss

761
00:42:27,920 --> 00:42:31,160
Speaker 1: up category and even lose in Texas, they would have

762
00:42:31,200 --> 00:42:35,160
Speaker 1: a fifty majority. But again, if the Republicans just went

763
00:42:35,200 --> 00:42:37,719
Speaker 1: even to like it doesn't matter, but you know, yeah,

764
00:42:37,960 --> 00:42:40,080
Speaker 1: there's it shows you that there's clearly a lot. There's

765
00:42:40,080 --> 00:42:43,319
Speaker 1: still so much going on. There's still plenty of time

766
00:42:43,360 --> 00:42:45,719
Speaker 1: in terms of not plenty of time, but there's still

767
00:42:45,800 --> 00:42:49,279
Speaker 1: time left that we might see some something interesting. But

768
00:42:49,560 --> 00:42:52,760
Speaker 1: who knows. Superproducer Nick was just pointing out again this morning,

769
00:42:52,880 --> 00:42:56,120
Speaker 1: like there does seem to be a trend where like

770
00:42:56,400 --> 00:43:00,520
Speaker 1: these far left, more populous candidates for these seemed to

771
00:43:00,560 --> 00:43:04,399
Speaker 1: be overperforming the polls. But still I think it's under

772
00:43:04,440 --> 00:43:07,759
Speaker 1: representing the young. I think posters a little shook too,

773
00:43:07,760 --> 00:43:10,400
Speaker 1: because they funked up so bad last time. And I

774
00:43:10,440 --> 00:43:13,960
Speaker 1: think as we're also less likely to believe him, like

775
00:43:14,360 --> 00:43:17,040
Speaker 1: I'm like, like I have like baggage from it, or

776
00:43:17,080 --> 00:43:19,319
Speaker 1: even if the polls say something around, I'm like, God,

777
00:43:19,360 --> 00:43:21,520
Speaker 1: that ain't gonna happen, or even if it's bad, I'm like,

778
00:43:21,520 --> 00:43:23,879
Speaker 1: I can't trust that. And even though the good ship

779
00:43:24,040 --> 00:43:26,640
Speaker 1: is happening, like verifiably with a lot of these big

780
00:43:26,719 --> 00:43:30,960
Speaker 1: wins like of Andrew Gillum, and Ianna Pressley, etcetera. I'm

781
00:43:30,960 --> 00:43:33,520
Speaker 1: still just like you never know, because there we still

782
00:43:33,560 --> 00:43:36,680
Speaker 1: have that trauma of being like, yeah, this should work. Yeah,

783
00:43:36,680 --> 00:43:39,040
Speaker 1: it looks okay, this seems the numbers look right, but

784
00:43:39,520 --> 00:43:42,040
Speaker 1: I don't know till you know November. Yeah, but Gillan

785
00:43:42,080 --> 00:43:45,320
Speaker 1: was supposed to be down by like ten points and

786
00:43:45,600 --> 00:43:49,480
Speaker 1: ended up winning, and Aana Pressley won by twenty points

787
00:43:49,520 --> 00:43:54,360
Speaker 1: when she was down. So I mean that's Democrats democrat

788
00:43:54,480 --> 00:43:57,239
Speaker 1: but it does seem to skew things left if you're

789
00:43:57,520 --> 00:43:59,400
Speaker 1: just looking at them. Yeah, and there's and there are

790
00:43:59,400 --> 00:44:02,359
Speaker 1: a lot more like poles coming out that just show

791
00:44:02,400 --> 00:44:05,520
Speaker 1: a lot of Republican incumbents like it's tightening up with

792
00:44:05,680 --> 00:44:08,840
Speaker 1: like Democratic challengers. So you know, we'll see why everybody

793
00:44:08,880 --> 00:44:11,560
Speaker 1: gotta vote and where where you live. All right, we're

794
00:44:11,600 --> 00:44:21,840
Speaker 1: gonna take another quick break. We'll be right there and

795
00:44:22,040 --> 00:44:26,239
Speaker 1: we're back. So Facebook is garbage and everyone should leave

796
00:44:27,120 --> 00:44:32,040
Speaker 1: the end. And now, so Facebook, there's a couple of

797
00:44:32,080 --> 00:44:36,520
Speaker 1: things coming out recently. First, narc Sucker Nerd has a

798
00:44:36,680 --> 00:44:40,480
Speaker 1: big fake news problem on his platform, and he tried

799
00:44:40,520 --> 00:44:43,000
Speaker 1: to make it better by hiring all these legit fact

800
00:44:43,120 --> 00:44:46,920
Speaker 1: checkers to vet you know, the most highly circulated stories.

801
00:44:47,040 --> 00:44:50,680
Speaker 1: This seems like just the obvious, fucking you know, solution

802
00:44:50,800 --> 00:44:54,560
Speaker 1: to all of their problems, except the right is not

803
00:44:54,719 --> 00:44:56,920
Speaker 1: having that ship. Well yeah, because they he had like

804
00:44:57,200 --> 00:44:59,600
Speaker 1: people who do fact checking for a living and come

805
00:44:59,640 --> 00:45:02,520
Speaker 1: from like think tanks that are like about journalistic integrity,

806
00:45:02,640 --> 00:45:05,080
Speaker 1: like you know, PolitiFact or fact check dot org. But

807
00:45:05,200 --> 00:45:07,719
Speaker 1: conservatives like, well, hold on, all they do is just

808
00:45:07,880 --> 00:45:10,919
Speaker 1: call out all these conservative articles. This is not fair,

809
00:45:11,719 --> 00:45:17,880
Speaker 1: This is bullshit, because that's not fair because this is

810
00:45:18,760 --> 00:45:23,839
Speaker 1: what we're saying is true. So he caved. And now

811
00:45:24,000 --> 00:45:28,200
Speaker 1: the Weekly Standard, which is a fucking very conservative, you know,

812
00:45:28,320 --> 00:45:31,279
Speaker 1: co founded by Bill Crystal site that has all kinds

813
00:45:31,280 --> 00:45:34,200
Speaker 1: of op as, like you know, fucking fucker Carlson Rights

814
00:45:34,239 --> 00:45:36,799
Speaker 1: in there. From time to time, they have them doing

815
00:45:36,880 --> 00:45:40,680
Speaker 1: fact checking on stories that are from the left, and

816
00:45:41,000 --> 00:45:43,799
Speaker 1: they have like they were putting like certain articles having

817
00:45:43,880 --> 00:45:46,799
Speaker 1: like liberal bias that didn't at all purely because they

818
00:45:46,840 --> 00:45:49,759
Speaker 1: were just taking things literally from like a headline and

819
00:45:49,840 --> 00:45:51,800
Speaker 1: be like, well, that literally didn't happen, So this is

820
00:45:51,800 --> 00:45:54,799
Speaker 1: a lie without taking nuance into it, without actually going

821
00:45:54,880 --> 00:45:57,320
Speaker 1: over like what the story was about, and just simply

822
00:45:57,400 --> 00:46:00,120
Speaker 1: slapping that on and then Facebook actually put that up

823
00:46:00,120 --> 00:46:02,719
Speaker 1: there and like this is kind of shady, and it

824
00:46:02,840 --> 00:46:05,400
Speaker 1: was causing a lot of problems because it brings up

825
00:46:05,440 --> 00:46:08,600
Speaker 1: this whole thing of like why is he caving to

826
00:46:08,719 --> 00:46:12,040
Speaker 1: this whining because when they're actually fact checking these stories

827
00:46:12,120 --> 00:46:15,320
Speaker 1: from like far right websites that are actually dealing in

828
00:46:15,719 --> 00:46:20,040
Speaker 1: non fact and misinformation, that's because that's what the facts are.

829
00:46:20,640 --> 00:46:22,799
Speaker 1: But then to go and be like, well let them

830
00:46:22,880 --> 00:46:25,919
Speaker 1: have their weird like right wing rag take a look

831
00:46:25,960 --> 00:46:28,640
Speaker 1: at it. Of course they're going to try and obscure

832
00:46:28,719 --> 00:46:31,239
Speaker 1: things or just mischaracterize a lot of articles that are

833
00:46:31,280 --> 00:46:33,879
Speaker 1: critical of some of the right wing politics. But yeah,

834
00:46:34,840 --> 00:46:40,400
Speaker 1: when things were just lists that God, I miss like

835
00:46:40,600 --> 00:46:44,040
Speaker 1: just being like having my family members like wishing me

836
00:46:44,120 --> 00:46:47,400
Speaker 1: happy birthday heard from Like that's what it should just be.

837
00:46:48,920 --> 00:46:52,000
Speaker 1: Like I'm off, I'm done, Like I can't, i can't

838
00:46:52,040 --> 00:46:54,680
Speaker 1: do it anymore, because the thing is is the gas

839
00:46:54,800 --> 00:47:00,279
Speaker 1: lighting is constant, and if you allow people to just

840
00:47:00,640 --> 00:47:04,160
Speaker 1: pouty dance like that's not right, what about me? It's like,

841
00:47:04,280 --> 00:47:06,960
Speaker 1: that's not what this is about. Like if I use

842
00:47:07,000 --> 00:47:08,640
Speaker 1: that argument as a kid, where I'm like, well, that's

843
00:47:08,680 --> 00:47:11,160
Speaker 1: not fair. How my teacher said we had a teacher

844
00:47:11,239 --> 00:47:13,239
Speaker 1: who whenever we said this in a class, but that's

845
00:47:13,239 --> 00:47:16,319
Speaker 1: not fair, She's say, you know, life is not fair

846
00:47:16,920 --> 00:47:19,800
Speaker 1: and dead any complaint. We had these kids, and we

847
00:47:19,920 --> 00:47:21,840
Speaker 1: learned real quick don't to complain about it like that.

848
00:47:22,080 --> 00:47:23,840
Speaker 1: But I think the thing is that I think just

849
00:47:23,960 --> 00:47:26,640
Speaker 1: because they're so noisy about it, and they think that

850
00:47:26,800 --> 00:47:29,680
Speaker 1: because they've misled so many people who are of their

851
00:47:29,800 --> 00:47:32,560
Speaker 1: thinking to come out and be like, well, yeah, Facebook

852
00:47:32,640 --> 00:47:34,920
Speaker 1: is censoring or whatever. I mean, they are doing that too,

853
00:47:35,080 --> 00:47:37,360
Speaker 1: even far left things too. Don't get me wrong, but

854
00:47:37,960 --> 00:47:40,200
Speaker 1: we can't actually have a touchstone for like what is

855
00:47:40,239 --> 00:47:43,760
Speaker 1: actual fact, like a foundation for reality for both sides

856
00:47:43,840 --> 00:47:47,359
Speaker 1: to agree upon, because if their version of fact, which

857
00:47:47,440 --> 00:47:50,920
Speaker 1: is usually misinformation, is called like, then they're saying, well,

858
00:47:51,000 --> 00:47:55,960
Speaker 1: that's a liberal bias. We're completely restructuring and reframing this

859
00:47:56,080 --> 00:47:59,479
Speaker 1: conversation about like liberal verse conservative when we're talking about

860
00:47:59,520 --> 00:48:03,680
Speaker 1: fact verse fiction, and it's it's a slippery slope. Yeah.

861
00:48:04,239 --> 00:48:07,359
Speaker 1: There's a New York article where Evan osno Is, one

862
00:48:07,360 --> 00:48:11,040
Speaker 1: of their best writers, got access to Zuckerberg and the

863
00:48:11,120 --> 00:48:16,879
Speaker 1: Facebook campus for like the last year basically, and it's

864
00:48:16,920 --> 00:48:20,640
Speaker 1: pretty interesting. There's like a couple really alarming things where

865
00:48:20,680 --> 00:48:25,440
Speaker 1: you see Zuckerberg like knows about all those problems happening

866
00:48:25,560 --> 00:48:30,640
Speaker 1: in like India and overseas, and he's like, yeah, well,

867
00:48:30,800 --> 00:48:33,000
Speaker 1: I hate that this problem is happening, and we're working

868
00:48:33,080 --> 00:48:34,960
Speaker 1: on it, but we've got to hire the right people.

869
00:48:35,360 --> 00:48:37,920
Speaker 1: And it's just like he deals with everything in the

870
00:48:38,040 --> 00:48:41,360
Speaker 1: same way where he's like, I acknowledge the problem, but however,

871
00:48:41,560 --> 00:48:43,800
Speaker 1: on this other thing, and there's no like, there's no

872
00:48:44,000 --> 00:48:47,600
Speaker 1: deathcom one like you know this, we need to get

873
00:48:47,640 --> 00:48:50,840
Speaker 1: shipped done like that, we're in an emergency situation. And

874
00:48:50,920 --> 00:48:55,440
Speaker 1: they point out that it's probably you know, he has

875
00:48:55,640 --> 00:49:00,360
Speaker 1: been in this industry that is criticized by outsiders. His

876
00:49:00,800 --> 00:49:04,040
Speaker 1: testifying on Capitol Hill, like in front of all of

877
00:49:04,160 --> 00:49:07,760
Speaker 1: these senators who don't know what the funk they're talking about,

878
00:49:08,360 --> 00:49:11,320
Speaker 1: is part of the problem because he has spent his

879
00:49:11,480 --> 00:49:15,920
Speaker 1: life being criticized by people who don't have the knowledge

880
00:49:15,960 --> 00:49:19,520
Speaker 1: base to actually make good criticism. So he just has

881
00:49:19,600 --> 00:49:23,200
Speaker 1: this mode of dealing with criticism and that he applies

882
00:49:23,239 --> 00:49:27,960
Speaker 1: that even to when people are making good points. Essentially

883
00:49:28,320 --> 00:49:30,920
Speaker 1: is one of the arguments in the article. But I mean,

884
00:49:31,160 --> 00:49:34,319
Speaker 1: just a couple of the memorable details Facebook has more

885
00:49:34,480 --> 00:49:39,080
Speaker 1: users than Christianity does at this point. Yes, I'm a

886
00:49:39,160 --> 00:49:44,800
Speaker 1: frequent user, yes, uh. And the design of Christianity is

887
00:49:45,600 --> 00:49:48,640
Speaker 1: so simple and intuitive. I'm so fucked up off Salvation

888
00:49:48,800 --> 00:49:55,160
Speaker 1: right now. Uh. It has the most customers an American

889
00:49:55,239 --> 00:50:00,520
Speaker 1: company has ever had in the history of like cat bitalism,

890
00:50:01,120 --> 00:50:04,319
Speaker 1: and that is the result of something. So in two

891
00:50:04,400 --> 00:50:08,600
Speaker 1: thousand and seven, they basically saw the size of their

892
00:50:08,719 --> 00:50:11,880
Speaker 1: user based plateau, which had been like it was the

893
00:50:11,960 --> 00:50:15,160
Speaker 1: same size that other social networks like my Space, like

894
00:50:15,280 --> 00:50:19,400
Speaker 1: other all other social networks had hit this one size

895
00:50:19,440 --> 00:50:22,000
Speaker 1: and then just like not being able to grow any larger.

896
00:50:22,480 --> 00:50:28,960
Speaker 1: And so Facebook basically made their business a cult of growth.

897
00:50:29,320 --> 00:50:32,080
Speaker 1: Like they had a growth team. So that was like

898
00:50:32,160 --> 00:50:36,239
Speaker 1: the cool smart kids on campus, and everybody like was

899
00:50:36,360 --> 00:50:39,920
Speaker 1: just like wanted to know what that was. It. It

900
00:50:40,040 --> 00:50:42,880
Speaker 1: was like a very single mindedness of focus to the

901
00:50:42,920 --> 00:50:46,680
Speaker 1: whole company. And he Basically, I think the best and

902
00:50:46,960 --> 00:50:50,120
Speaker 1: most clarifying line in the article is the cult of

903
00:50:50,280 --> 00:50:53,160
Speaker 1: growth leads to the curse of bigness because all of

904
00:50:53,239 --> 00:50:57,000
Speaker 1: their problems can be seen as just size related, like

905
00:50:57,160 --> 00:50:59,840
Speaker 1: you just have so many people now that you can

906
00:51:00,160 --> 00:51:04,120
Speaker 1: regulate all these problems and they're trying to solve the

907
00:51:04,200 --> 00:51:07,200
Speaker 1: problem of like what is hate speech? What is free speech?

908
00:51:07,680 --> 00:51:11,160
Speaker 1: And Zuckerberg specifically says at a certain point, like, you know,

909
00:51:11,320 --> 00:51:13,520
Speaker 1: we we used to be able to write an algorithm

910
00:51:13,640 --> 00:51:16,480
Speaker 1: to spot a nipple, and like that was easier to

911
00:51:16,680 --> 00:51:19,680
Speaker 1: stop pictures that had nipples in them, right, are very

912
00:51:19,760 --> 00:51:25,160
Speaker 1: offensive guys, But Nazis. You can't write an algorithm to

913
00:51:25,239 --> 00:51:30,080
Speaker 1: stop Nazis. So that's that is the problems. Kick them off.

914
00:51:30,400 --> 00:51:32,600
Speaker 1: Wait in two when did they open up Facebook to

915
00:51:32,680 --> 00:51:34,960
Speaker 1: people who didn't have a college email? I think it

916
00:51:35,040 --> 00:51:37,560
Speaker 1: was before two seven, It must have been. I think

917
00:51:37,600 --> 00:51:40,400
Speaker 1: it's around that time because I had to have I

918
00:51:40,680 --> 00:51:45,080
Speaker 1: graduated not to date myself. But oh wait, and I

919
00:51:45,200 --> 00:51:48,759
Speaker 1: think maybe oh eight or oh nine is something around there,

920
00:51:48,760 --> 00:51:51,439
Speaker 1: because I remember feeling salty about it because I was like, y'all.

921
00:51:51,680 --> 00:51:53,480
Speaker 1: I remember I was like, yo, you can't get Facebook

922
00:51:53,480 --> 00:51:58,759
Speaker 1: and got that yeah, that proper college email. And then

923
00:51:58,800 --> 00:52:01,520
Speaker 1: when like they let all these mother I was like,

924
00:52:01,680 --> 00:52:03,960
Speaker 1: why did I go to college? Then I did it

925
00:52:04,040 --> 00:52:07,080
Speaker 1: just to flex on Facebook? Right? But yeah, I wonder

926
00:52:07,080 --> 00:52:09,200
Speaker 1: if that I'm sure that must have factored into it,

927
00:52:09,280 --> 00:52:11,239
Speaker 1: like when they hit that plateau or like, oh, we're

928
00:52:11,239 --> 00:52:13,880
Speaker 1: only limiting it to college students, and then like after that,

929
00:52:14,040 --> 00:52:16,440
Speaker 1: after you're done with college, what's the use for it? Right?

930
00:52:16,600 --> 00:52:17,800
Speaker 1: You know what I mean? If it's only going to

931
00:52:17,880 --> 00:52:21,520
Speaker 1: be available for college students cut to two thousand sixteen,

932
00:52:21,560 --> 00:52:23,719
Speaker 1: I can't imagine that They're They were like, how do

933
00:52:23,840 --> 00:52:26,480
Speaker 1: we solve this size problem? They were like, what if

934
00:52:26,560 --> 00:52:29,719
Speaker 1: we allowed people who weren't just college students? That. I

935
00:52:29,800 --> 00:52:32,240
Speaker 1: think it was after that that they had the issue

936
00:52:32,360 --> 00:52:35,440
Speaker 1: because yeah, like they said that a big thing was

937
00:52:35,640 --> 00:52:38,040
Speaker 1: hiring people who spoke other languages and just making it

938
00:52:38,200 --> 00:52:41,759
Speaker 1: more user friendly to other countries. And two thousand six

939
00:52:41,800 --> 00:52:44,439
Speaker 1: September two thousand six, when they opened it to everyone

940
00:52:44,480 --> 00:52:46,600
Speaker 1: aged thirteen and older with a valid email address, there

941
00:52:46,680 --> 00:52:49,200
Speaker 1: you go boom. How do you even know if a

942
00:52:49,280 --> 00:52:51,880
Speaker 1: kid is thirteen? Though? Do they just click a box?

943
00:52:52,360 --> 00:52:57,680
Speaker 1: Is that how you do it? Right? You're good at

944
00:52:57,719 --> 00:53:01,400
Speaker 1: guessing people's agent, the guessing people's a and do not

945
00:53:01,600 --> 00:53:05,680
Speaker 1: watch any past episodes of You Catch Predator. That's a joke,

946
00:53:05,800 --> 00:53:08,200
Speaker 1: but yeah I don't. Yeah, I'm pretty sure it was

947
00:53:08,239 --> 00:53:13,080
Speaker 1: just like put in your birthday. Yeah, like when I said,

948
00:53:13,080 --> 00:53:16,080
Speaker 1: like liquor websites and like high school and like what's

949
00:53:16,080 --> 00:53:18,799
Speaker 1: your age? And I'm like nineteen sixty nine. What would

950
00:53:18,840 --> 00:53:22,480
Speaker 1: you find on liquor website? I was really into hypnotic

951
00:53:23,760 --> 00:53:25,880
Speaker 1: liquor and I remember like there was like there was

952
00:53:27,320 --> 00:53:31,719
Speaker 1: hypnotic was that blue ship you mixed with Hennessy is

953
00:53:31,719 --> 00:53:34,960
Speaker 1: an incredible hulk? Anyway, and like I was sucked up

954
00:53:34,960 --> 00:53:36,520
Speaker 1: because it was in all the rap videos and I

955
00:53:36,640 --> 00:53:39,200
Speaker 1: was like, yeah, so you're just trying to buy it? Well,

956
00:53:39,239 --> 00:53:40,960
Speaker 1: I was trying to at first. I was like what

957
00:53:41,239 --> 00:53:44,239
Speaker 1: is this? You know what I mean? Because I saw it? Yeah,

958
00:53:44,239 --> 00:53:45,959
Speaker 1: because I saw it in videos, and like I wasn't

959
00:53:45,960 --> 00:53:48,080
Speaker 1: really around liquor stores enough to quite put it all together,

960
00:53:48,160 --> 00:53:51,600
Speaker 1: and like, based right, it's probably just it's unicorn frap

961
00:53:51,680 --> 00:53:54,520
Speaker 1: flavored drink. It basically took the spot of Ali's a

962
00:53:54,920 --> 00:53:56,040
Speaker 1: you know what I mean. It's the same sort of

963
00:53:56,160 --> 00:53:59,120
Speaker 1: very fruity shi it's blue, yeah exactly, and that color

964
00:53:59,200 --> 00:54:03,440
Speaker 1: happy being really into it. But anyway, Yeah, I remember

965
00:54:03,520 --> 00:54:05,600
Speaker 1: I thought Facebook was going to be the solution to

966
00:54:05,760 --> 00:54:08,680
Speaker 1: all of the Internet problems when it was first like hitting,

967
00:54:08,760 --> 00:54:11,360
Speaker 1: because it was like so much of the Internet was

968
00:54:11,440 --> 00:54:15,040
Speaker 1: just anonymous trolls and like so people connecting themselves to

969
00:54:15,239 --> 00:54:17,240
Speaker 1: like that was something that had happened over in Korea

970
00:54:17,800 --> 00:54:21,200
Speaker 1: that helped make the Korean Internet a better place to exist.

971
00:54:21,360 --> 00:54:23,719
Speaker 1: Is because like they just made it mandatory that you

972
00:54:23,840 --> 00:54:27,600
Speaker 1: connect your like online activity to who you were as

973
00:54:27,600 --> 00:54:30,560
Speaker 1: a person and like basically your citizen I d and

974
00:54:31,200 --> 00:54:32,920
Speaker 1: so I thought Facebook was going to do that, But

975
00:54:33,520 --> 00:54:37,360
Speaker 1: it turns out, as we saw in that comment section

976
00:54:37,440 --> 00:54:41,520
Speaker 1: yesterday where it was all Facebook people commenting under their

977
00:54:41,560 --> 00:54:45,319
Speaker 1: Facebook identities and just being super racist. People just don't

978
00:54:45,400 --> 00:54:48,399
Speaker 1: give a fuck. No everybody thinks they can do whatever

979
00:54:48,440 --> 00:54:50,680
Speaker 1: they want. No, they just have a mouthpiece for it.

980
00:54:50,760 --> 00:54:52,640
Speaker 1: I just missed the Facebook that if you wanted to

981
00:54:52,760 --> 00:54:55,400
Speaker 1: go and look at somebody's Facebook, you had to go

982
00:54:55,520 --> 00:54:57,840
Speaker 1: to their page and that was it. There was no

983
00:54:58,360 --> 00:55:01,520
Speaker 1: updating like the that when Twitter came out and like

984
00:55:02,000 --> 00:55:04,360
Speaker 1: there you know, you have that stream of just what

985
00:55:04,520 --> 00:55:07,520
Speaker 1: people are freaking thinking. And now everyone's like, well, I

986
00:55:07,600 --> 00:55:10,160
Speaker 1: can comment on that if we just I can't read

987
00:55:10,200 --> 00:55:14,719
Speaker 1: a comment section even at like good Home magazine dot com,

988
00:55:14,800 --> 00:55:17,239
Speaker 1: Like it's just a bummer. I just refused to read

989
00:55:17,320 --> 00:55:22,800
Speaker 1: any comments. Their thoughts on Wicker are just aggressive and rude.

990
00:55:23,160 --> 00:55:27,919
Speaker 1: IONE still love Rattan furniture. Who doesn't. Yeah, I don't

991
00:55:27,920 --> 00:55:29,879
Speaker 1: even I just I can't stand face with anymore. In general,

992
00:55:29,920 --> 00:55:31,759
Speaker 1: I don't use it, So don't try to find me

993
00:55:31,760 --> 00:55:35,160
Speaker 1: because I don't use it. I'm gonna I'm gonna find you. Okay,

994
00:55:35,320 --> 00:55:37,920
Speaker 1: that's fine. One of the things the article said, though,

995
00:55:37,960 --> 00:55:41,000
Speaker 1: is they're buying Instagram. At the time was seen as

996
00:55:41,560 --> 00:55:43,960
Speaker 1: completely overpaid for it, and now it's viewed as like

997
00:55:44,080 --> 00:55:48,560
Speaker 1: the smartest purchase in the history of like online retail

998
00:55:48,719 --> 00:55:52,239
Speaker 1: or like in the history of online retail, since that

999
00:55:52,400 --> 00:55:57,040
Speaker 1: donut not online retail in the history of Silicon Valley.

1000
00:55:57,960 --> 00:56:02,600
Speaker 1: All right, that's gonna do it. War this week's Weekly Zeitgeist.

1001
00:56:02,719 --> 00:56:06,120
Speaker 1: Please like and review the show if you like to

1002
00:56:06,239 --> 00:56:11,480
Speaker 1: show h means the world to Miles. He needs your validation, folks.

1003
00:56:12,120 --> 00:56:15,160
Speaker 1: I hope you're having a great weekend, and I will

1004
00:56:15,200 --> 00:57:04,360
Speaker 1: talk to him Monday. By that. At that