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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: laugh stravaganza. Uh yeah, So, without further ado, here is

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Speaker 1: the Weekly Zeitgeist. He was named two thousand fifteen number

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Speaker 1: one comedian on the Top one Comedians. Listen, please welcome

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Speaker 1: the hilarious and talented Andrew Mashawn. Thank you, thank you

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Speaker 1: for having me, and my song about me is Happyvorite. No,

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Speaker 1: I don't know. I did not know it was a

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Speaker 1: musical podcast. Um so I don't have a song prepared,

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Speaker 1: but just know that. Um if I have one prepared,

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Speaker 1: it would have been awesome. It's very clear to everyone

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Speaker 1: listening that you have a song in your heart. Yeah,

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Speaker 1: last time you're on, You're like you said the same thing. Like,

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Speaker 1: I didn't know it was a song. I would have

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Speaker 1: came with one. So I really do let us down

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Speaker 1: this second go around. Wow, I should have known. You know. Well,

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Speaker 1: it's been a normal couple of years. So yeah, November nine,

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Speaker 1: what's going on? Dude? Left off? I Well, I haven't

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Speaker 1: really been paying attention. Um so I don't know. Everything's

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Speaker 1: been good for me. Cool cool um, yeah, no, it's

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Speaker 1: good to be back. Thank you for having me. I'm

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Speaker 1: gonna I'm gonna come clean here and let you know

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Speaker 1: that I have forgotten that we met, forgot that you

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Speaker 1: were on the show, and then become a fan of

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Speaker 1: yours through podcasts. But outside since thank you and without

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Speaker 1: realizing that you have been on this show. So that's

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Speaker 1: perfect podcast But outside is very very funny. Yeah, before

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Speaker 1: you came on, he's like, you know, Andrew like, well, yeah,

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Speaker 1: ship man, that it is very funny. I was like, father, oh, hey,

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Speaker 1: I honestly, actually that makes you're a fan of my show,

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Speaker 1: Like that makes it more pure. Yeah, that was just

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Speaker 1: a pure enjoyment outside of the fact that you and

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Speaker 1: I are close friends. Yes, exactly. There it is great.

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Speaker 1: What's good with you, man, other than you're back from

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Speaker 1: Coast three? I'm doing well? Yeah, how was that? It

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Speaker 1: was great? You know, and it was really nice and honestly, like,

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Speaker 1: looking back, I'm very glad that I did go in

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Speaker 1: November of tween nineteen because I try to go out

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Speaker 1: of the country once a year and it was a

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Speaker 1: really great trip. And then, you know, if I had

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Speaker 1: known that I wouldn't be able to leave the country

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Speaker 1: for a long time after that. Like it was, it

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Speaker 1: was perfect timing to be able to go. Great country.

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Speaker 1: Highly recommend it, easy place to travel, and everyone's very nice,

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Speaker 1: very beautiful. I love to see it. And I'm actually

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Speaker 1: going to leave the country again for the first time

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Speaker 1: since then in November, so there, I'm going to coast

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Speaker 1: it and I'm just going I'm going to I'm going

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Speaker 1: to Iceland actually, which I've never been to. WHOA, what's

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Speaker 1: the weather like that time of year? Super? I think

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Speaker 1: it's kind of cold year round. The vibe is apparently

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Speaker 1: it's just always cold, but that is definitely when winter

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Speaker 1: is in the swing of It's like in the full

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Speaker 1: swing of winter, so there might be a little more snow,

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Speaker 1: but I think it's just universally cold and frigid there.

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Speaker 1: But it is like, you know, it'll get dark like

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Speaker 1: at like four or five pm when we first got there,

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Speaker 1: and then by the time we leave it'll get dark

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Speaker 1: at like three pm. Like it really drastically over the

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Speaker 1: course of November. Yeah, but there's like boiling hot water

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Speaker 1: just like shooting up out of the earth there all that. Yeah. Yeah, yeah, man,

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Speaker 1: I want to go there so bad. I studied a

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Speaker 1: lot of Viking history in college and like Iceland's eyes

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Speaker 1: and I'm like, I got it. I need to see

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Speaker 1: it because a lot of the people that like ended

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Speaker 1: up habitating that place where like fleeing the Vikings. They're

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Speaker 1: like like, let's get over here. Did the Vikings ever

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Speaker 1: go there? And like, yeah, I'm sure they did. I

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Speaker 1: mean I as far as I can remember, what was

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Speaker 1: that fourteen years ago? Yeah, I mean that's like those

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Speaker 1: are the remnants that you hold on you, Like, I

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Speaker 1: know they were fleeing the other Vikings and then they

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Speaker 1: have a great soccer team that overperforms. Well, I'll let

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Speaker 1: you know how it is. Yeah, it seems like a nice,

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Speaker 1: easy place to travel. And also it's like nineties six

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Speaker 1: percent vaccinated kind of thing, and you have to be

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Speaker 1: vaccinated to go in. So as far as like, it

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Speaker 1: feels like a safe first trip after this whole thing, Marcello,

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

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Speaker 1: from your search history. I had to google San Francisco

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Speaker 1: Fleet Week because I didn't know what the funk that was.

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Speaker 1: And um, I'm in Modesto, California right now, and we've

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Speaker 1: been having these I've just been Me and my brother

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Speaker 1: had been noticing these little like cute little planes, like

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Speaker 1: multiple planes at once for just criss crossing, and I

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Speaker 1: was like, what the fund is going on? And then

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Speaker 1: my friend who lives in San Francisco was like, it's

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Speaker 1: fleet Week, and I was like, what the fund is

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Speaker 1: Fleet Week? And then I fucking put the thoughts together

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Speaker 1: once I hit the Google. I didn't read about it

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Speaker 1: because I don't give a ship. It just feels like

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Speaker 1: a waste of money. Oh yeah, but yeah, I guess

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Speaker 1: that's happening this week and they are practicing in Medesto, California.

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Speaker 1: So what what is it? It's when all the air

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Speaker 1: shows or some stupid It's like a thing where like

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Speaker 1: a lot of the like Navy people, coast guard, like

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Speaker 1: ship based military like come to town. Mm hmm. It's

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Speaker 1: it's been a thing for like a minute, but and

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Speaker 1: then they'll have air shows and ship It's just kind

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Speaker 1: of like, Yo, we're here, We're we're in the city,

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Speaker 1: some holes all over the city, but they're using the

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Speaker 1: money for a fucking fleet week, right. I associated with

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Speaker 1: like old timey like a bunch of sailors in their

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Speaker 1: in their whites, just like walking around and exactly causing trouble,

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Speaker 1: getting into fights and bars on the Lower East Side

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Speaker 1: or whatever. Yeah, that happens. And then they had a

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Speaker 1: little Blue Angels, you know, the party going on there too.

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Speaker 1: It's one of those traditions that feels really childish. Yeah, yeah,

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Speaker 1: I think they need to pick one. Why Why why

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Speaker 1: are the planes isn't that aren't they supposed to be

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Speaker 1: on the water. What's happening because they're launched from the

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Speaker 1: aircraft carric Yeah whatever, no military expert, but I said,

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Speaker 1: that's a good thing, right the Navy. I'm sure gonna

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Speaker 1: I'm gonna get hate mail for mentioning that, right something

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Speaker 1: to be like, Oh, I served, and it's a very

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Speaker 1: important tradition. I feel like a lot of the people

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Speaker 1: that served and listened to the show, like they come

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Speaker 1: through with very enlightening opinions on They're like, yeah, this

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Speaker 1: is what's sucked up about the military, and like thank

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Speaker 1: you for that, and it's gonna be like it adds

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Speaker 1: millions of dollars to the local economy. I feel like

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Speaker 1: that's the like Ted Cruise. Ted Cruise is a big fan. Yeah, yeah, yeah,

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Speaker 1: he does like the Daily Zychist weird. What is something

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Speaker 1: you think is overrated? I'm a really big professional wrestling fan.

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Speaker 1: It's something I've been a fan of my entire life

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Speaker 1: pretty much. And um, there are a series of matches

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Speaker 1: that happened in the tens in New Japan pro wrestling

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Speaker 1: wrestling named keny O Mega versus wrestler named Okada, which

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Speaker 1: are considered to be the greatest professional wrestling matches in

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Speaker 1: the history of professional wrestling. Dave Meltzer is a pro

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Speaker 1: wrestling journalist of note who has a five star scale

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Speaker 1: of how he writes matches in terms of quality, and

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Speaker 1: one of the Ocado Mega matches he rated seven stars,

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Speaker 1: which like broke his scale. It was so good, and

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Speaker 1: I gotta say, I just don't see it. I'm a

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Speaker 1: big pro wrestling fan. The matches are like they're the

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Speaker 1: problem with them is that they're all like forty minute

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Speaker 1: long epics. So it's sort of like sitting down to,

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Speaker 1: you know, like a three hour movie or something like

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Speaker 1: that in pro wrestling match terms. And I don't know,

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Speaker 1: I just kind of want to watch people do flips

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Speaker 1: and kick each other in the face. I'm not sure

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Speaker 1: if I want twenty minutes of like slow Matt wrestling

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Speaker 1: action to get to the cool stuff. You know. That's funny.

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Speaker 1: There is a bias like in certain you know, fan

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Speaker 1: bases where I feel like the longer the movie for

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Speaker 1: a while was it was considered like, well, that's a

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Speaker 1: that's a classy movie, even though I think a lot

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Speaker 1: of times like you should at least have a couple

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Speaker 1: ninety minute movies on your like top five list. It

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Speaker 1: shouldn't just all three hour long epics. You know, like

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Speaker 1: sometimes you're in the mood for like a four hour

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Speaker 1: long you know, like sometimes you're in the mood for

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Speaker 1: Citizen Kane or whatever, or sometimes you're in the mood

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Speaker 1: for like, yeah, like a ninety minute like die Hard

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Speaker 1: or something like that, where it's just like it's like

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Speaker 1: someone getting hit by a train. Yeah, totally, totally totally,

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Speaker 1: And it's I think it's, you know, like both of

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Speaker 1: those wrestlers are so good, and like I'm a fan

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Speaker 1: of Occado and i Mega separately. It's just like this

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Speaker 1: thing that the fandom has called the best series of

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Speaker 1: matches of all time, and I'm like, yeah, it's I

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Speaker 1: don't know, it's like sometimes you want, you know, a

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Speaker 1: seven minute long like rush song or something like that,

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Speaker 1: or sometimes you want like a minute thirty punk song,

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Speaker 1: and like I feel like I'm more on the minute

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Speaker 1: thirty punk song side of things. But yeah, one of

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Speaker 1: my like my mom's really good close friends is used

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Speaker 1: to be married to that wrestler Masa Saito who's Mr

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Speaker 1: Seido WF like back in the day, and I remember

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Speaker 1: around the time I was so into wrestling that I

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Speaker 1: went when we were in Japan, She's like, Oh, come out,

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Speaker 1: we're having like the I Forget whatever, like all those

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Speaker 1: tournaments like the g One Climb. Yeah, so I went

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Speaker 1: to one of those and I was like, I was

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Speaker 1: like I'm ready because I had already been to a

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Speaker 1: couple you know, w w F house shows and a

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Speaker 1: WrestleMania and I was like, okay, this is it. And

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Speaker 1: the culture around the shows were so different. I was

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Speaker 1: like having this like sort of bit of wrestling culture

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Speaker 1: clash happening. But it's true, like it is, it offers

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Speaker 1: like a completely different version, Whereas to me, a fourteen

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Speaker 1: year old who's just been mainlining Dwayne the Rock Johnson

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Speaker 1: like clips, I was just a little bit like, Okay,

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Speaker 1: yeah that was cool. That was there was some cool

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Speaker 1: stuff in there, this technical stuff in there. Yeah, and

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Speaker 1: like m JPW, it's it's really it's like I would

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Speaker 1: say that if w W E is like the action

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Speaker 1: movie form of wrestling where it's just like, yeah, the

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Speaker 1: Undertaker shooting out fireballs like Haynes's long lost brother, blah

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Speaker 1: blah blah blah blah. Like n j p W. You

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Speaker 1: is like, oh, this is like the sport version of this,

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Speaker 1: Like you know, there's not there's not like magic stuff.

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Speaker 1: Nobody is like secretly a demon or whatever. It's very

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Speaker 1: much just like, oh, these are two like top of

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Speaker 1: their form athletes who like understand the sport of professional

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Speaker 1: wrestling to a t and like are so good at

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Speaker 1: like the performative aspects of it. So it's like it's

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Speaker 1: a little bit more real in how they perform their moves.

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Speaker 1: Like they hit, Like there's this thing called strong style

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Speaker 1: where wrestlers will hit each other four real as hard

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Speaker 1: as humanly possible, but in safe spaces. So it's like

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Speaker 1: a forearm as hard as you can to like the

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Speaker 1: shoulder where it might hurt, but it's not gonna like

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Speaker 1: when you're knocked you out like that. It's like punching

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Speaker 1: on the shoulder like sort of wing. You're a kid

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Speaker 1: like with a thing that I feel like, yeah, yeah, okay,

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Speaker 1: you get one yet one, I'll take it. I can

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Speaker 1: take it right there, go yeah. When then the wrestlers

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Speaker 1: are really good at Like there's also named a Code

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Speaker 1: Bushy who's like one of the best wrestlers in the

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Speaker 1: world who famously does a lot of like just insane

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Speaker 1: drops on his neck, Like he gets pile driven straight

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Speaker 1: on his neck all the time and it like looks insane.

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Speaker 1: And the way that he can do that is he

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Speaker 1: just does a lot of neck exercises sort of that

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Speaker 1: thing of like they like do the moves for real

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Speaker 1: to each other, but they are trained in such a

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Speaker 1: way that they're like not going to get injured doing it,

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Speaker 1: whereas w W is more the showmanship side of it

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Speaker 1: of like it's like is a little bit you know,

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Speaker 1: faker for lack of a better term, and that like

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Speaker 1: things are a little bit more slight of handed away

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Speaker 1: as to how things are done. Where's n JPW. It's

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Speaker 1: just like, oh, dudes are just dropping each other on

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Speaker 1: their next for real, right right right. And then people

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Speaker 1: like in like a backyard match in like tamper, Like

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Speaker 1: you just see that clip. Yeah, we should try that

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Speaker 1: on a regular folding table and then be surprised when

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Speaker 1: someone has a TB. I oh yeah for sure. Yeah,

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Speaker 1: of all the places to you know, do the do

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Speaker 1: the sleight of hand that convinces people to do really

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Speaker 1: dangerous things. I feel like America not the best choice

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Speaker 1: for that, right, right, right? What? What's something you think

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Speaker 1: is underrated? Underrated is buying a used car or you know,

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Speaker 1: a step or a simple or a bunch of retirement

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Speaker 1: accounts that aren't super sexy. I love the people who

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Speaker 1: did the marketing for a four oh one K. Four

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Speaker 1: one K is like the darling, but I think that's overrated.

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Speaker 1: There are a ton of other retirement accounts that I

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Speaker 1: think are underrated. And the more of the merrier when

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Speaker 1: it comes to retirement accounts, I think a lot of

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Speaker 1: folks think the four oh one K is like the

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Speaker 1: only girl at the dance. She's not. There are others.

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Speaker 1: M hm. And does your company need to like participate

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Speaker 1: in the other like retirement accounts or you can just

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Speaker 1: kind of pick and choose if you have a four

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Speaker 1: o one kit, well, so you can have a four

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Speaker 1: oh one K and an ira. I know you guys

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Speaker 1: are staked and IRA love that roth Ira life. You

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Speaker 1: just go to the bank and you can open up

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Speaker 1: an ira, a traditional or a rath. And the only

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Speaker 1: difference is taxes. With a roth you pay taxes. Now

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Speaker 1: with the traditional, you pay taxes when you take it out.

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Speaker 1: And so that's like a whole other category of retirement accounts.

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Speaker 1: Then the four oh one K, so you can have

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Speaker 1: a four oh one K and you can have a

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Speaker 1: roth ira and a traditional if you want. And then

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Speaker 1: steps and symbols are like other variations of iras in

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Speaker 1: that family. If you own your own business, wow, I'm

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Speaker 1: so it's how did you become so financially literate? Because

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Speaker 1: I grew up in the most pretty financially illiterate home

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Speaker 1: or like one where a lot of those things were

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Speaker 1: not communicated to me. So it was a lot of

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Speaker 1: trial and error once I got out of college. So

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Speaker 1: I would always meet people with their financial ship together,

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Speaker 1: like how did you get there? You know? I lied?

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Speaker 1: True story. I grew up in an immigrant family, so

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Speaker 1: in first generation American, super broken home. My father died

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Speaker 1: of an overdo when I was young. My mother sort

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Speaker 1: of pieced out and I just needed to work, so

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Speaker 1: I needed to get a job. We talked about this

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Speaker 1: before we went on the air. We'll in l A.

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Speaker 1: I went to an arts high school. I wanted to

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Speaker 1: be a dancer, and then I went to college to

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Speaker 1: be a poetry major. So like, I'm the least likely

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Speaker 1: person to be a finance expert or whatever. I never

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Speaker 1: thought I'd even be in business or talking about business.

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Speaker 1: But then I started in journalism and I auditioned for

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Speaker 1: this small station group in Chicago. I went to Northwestern

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Speaker 1: and I wanted to get like a local news job,

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Speaker 1: and they said, well, you don't get this job, but

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Speaker 1: do you know anything about business? And I was eighteen

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Speaker 1: at the time, and I just said, yes, I just

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Speaker 1: want love business. This voice on Sunday. Like I had

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Speaker 1: a boyfriend in high school. He said he wanted to

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Speaker 1: be a hedge fund manager, and I thought the dude

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Speaker 1: wanted to be in gardening. Yeah, so if I could

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Speaker 1: do this, anyone could do this? Sure, no, and yeah,

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Speaker 1: And I mean I've I've I've gathered that over the years.

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Speaker 1: When people like try this read up about that, I'm like, oh, right, okay,

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Speaker 1: I think it's just at a certain point there was

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Speaker 1: just I think my priorities are just completely off. So

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Speaker 1: it took like moments like that really is like, yeah,

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Speaker 1: that's right. We live in a very complex financial system

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Speaker 1: here as well, especially as it relates to like taxes

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Speaker 1: and things like that. So at a certain point, I

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Speaker 1: think I just became very apathetic because it just felt like, well,

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Speaker 1: this is I get it. I would have been apathetic

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Speaker 1: if I didn't need it to pay the bills. I

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Speaker 1: wouldn't have done it otherwise for sure. And what I

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Speaker 1: realized is that money is a language like anything else.

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Speaker 1: We just didn't have a Rosetta stone for this language,

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Speaker 1: no matter what high school you went to or growing up,

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Speaker 1: no matter what kind of household you grew up in.

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Speaker 1: We don't learn this stuff in school. We learn a

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Speaker 1: bunch of bs, like how to dissect a frog or

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Speaker 1: the Pythagorean theorem. Why why do we like if we

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Speaker 1: want to know when right? Like want to train get

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Speaker 1: to a station? But you know what the Pythagorean theorem is,

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Speaker 1: don't you? Yeah, I'm square equals squared, that's right? Or

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Speaker 1: but you but then you start asking me about retirement,

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Speaker 1: I'm like shit, right if I were in charge of

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Speaker 1: the world, we would learn about sebs and simples instead

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Speaker 1: of ice slus triangles. But I'm not yet. And you know,

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Speaker 1: I think that for me, at a necessity, I just

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Speaker 1: went to school of hard knocks. And you know, if

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Speaker 1: you go to China you don't speak Chinese, you'd be confused.

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Speaker 1: If you go to Wall Street, you don't speak the

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Speaker 1: language of money, you'd be confused. But then hello, Captain obvious.

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Speaker 1: Once you speak it, you understand it. But first you

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Speaker 1: have to just learn this silly little language. But it's

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Speaker 1: like not complicated and so. And I think that's probably

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Speaker 1: intentional too, because I think most people, if you're not

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Speaker 1: making globs of money, you don't learn a lot of

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Speaker 1: the other tricks of the trade or like wealth accumulation

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Speaker 1: tactics that people have. And it seems like, yeah, you're

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Speaker 1: just be like, man, well, then that's for someone else.

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Speaker 1: But then you realize, no, it's just we can educate ourselves,

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Speaker 1: maybe give ourselves a different outcome. Yeah. And then a

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Speaker 1: lot of women, in particular, you know, I wrote rich Bitch.

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Speaker 1: I either thought it was gonna fail or crush it.

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Speaker 1: There was no gray area. People were gonna have feelings

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Speaker 1: about the book, but because I think women in particular

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Speaker 1: don't get their financial lives together because they think a

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Speaker 1: guy is going to take care of it. And listening

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Speaker 1: to you guys case in point, take care of it

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Speaker 1: guys out of a spider though, yeah, you know, or

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Speaker 1: I will escort it outside because I like spiders. But

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Speaker 1: I'm there. But yeah, you start talking about college funds

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Speaker 1: and stuff like that. Like my partner I was like, what, dude,

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Speaker 1: should we in the college fun Like, man, I'm gonna

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Speaker 1: sella n F T And then you know, like that's

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Speaker 1: not a strategy. I'm like, you're right. Do you have

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Speaker 1: a like crash course? Do you recommend for people just

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Speaker 1: to like kind of like what what did you read

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Speaker 1: to first sort of learn the language. I was just

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Speaker 1: on the floor of the Chicago Merk, which is like

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Speaker 1: Wolf of Wall Street style, and so I learned it

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Speaker 1: there and I realized, like when I heard people say short,

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Speaker 1: I thought it was the opposite at all, but it's not.

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Speaker 1: It's just the opposite of long in the Wall Street world,

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Speaker 1: and it's not complicated. It's like it just means something's

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Speaker 1: going in the pooper, it's going to fail and that's all.

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Speaker 1: But nobody says it like that. They say, you know,

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Speaker 1: most folks who explain it don't even understand what the

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Speaker 1: heck they're saying. And so I thought that there was

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Speaker 1: an opportunity to be like, hello, everybody is just like

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Speaker 1: smoking something here, can can somebody just explain this, like

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Speaker 1: say it plain how it is? And so that's what

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Speaker 1: I tried to do, and so folks wanted that. Yeah,

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Speaker 1: so rich Bitch would be the rich Bitch would be

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Speaker 1: a good place to start. Boss Bitch would be another

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Speaker 1: good place to start. Miss Independent is the book I

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Speaker 1: have coming out in January, and not to sort of

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Speaker 1: like sell my own books. But I came up with

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Speaker 1: the Money School because I kept saying the same type

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Speaker 1: of schpiel, like why isn't there a class? And so

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Speaker 1: I kept saying it so much I was like, I

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Speaker 1: might as well do one because and it doesn't include

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Speaker 1: the Pythagorean theorem. Yeah, you're really hard on the Pythagorean theorem.

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Speaker 1: By the way, I do have to stand up for

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Speaker 1: the porn theorem. That's never steered me wrong as far

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Speaker 1: as I know, in the zero times that I've had

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Speaker 1: to use it in my everyday life. You're right, let's

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Speaker 1: be fair, Miles. You know, it's really hard on her.

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Speaker 1: All right, let's take a quick break and we'll be

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Speaker 1: right back. And we're back, and Christy Nome is defending

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Speaker 1: herself from nepotism accusations by just like admitting she did

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Speaker 1: nepotism kind of like, yeah, okay, maybe I did that ship,

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Speaker 1: but not the what you think. You know, she's been

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Speaker 1: in the news for last week. That story came out,

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Speaker 1: the rumor that she was sleeping with Korey Lewandowski from

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Speaker 1: Trump World, like they were having an affair. And then

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Speaker 1: she's like, I love my husband whatever. She's like, we've

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Speaker 1: raised god fearing children together. I'm off this, like this

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00:20:24,920 --> 00:20:28,159
Speaker 1: is a bad rumor. And people were like, wow, okay

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Speaker 1: that by addressing it, it seems a little bit more guilty.

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Speaker 1: But you, Christie, you gotta do you. And now she's like,

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Speaker 1: over the last you know, two weeks or so, this

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Speaker 1: nepotism thing has been getting louder and louder and louder.

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Speaker 1: And because here's the deal. You know, her daughter just

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Speaker 1: like about two years ago, she wanted to be a

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Speaker 1: real estate appraiser. But you know, like the tests and

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Speaker 1: certifications were just like so unfair that the board denied

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Speaker 1: her application and certification and the state says that they will,

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00:20:58,600 --> 00:21:01,080
Speaker 1: like in order to have your certificate Asian denied, it's

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00:21:01,119 --> 00:21:05,119
Speaker 1: denied when quote an applicants work samples don't meet minimum

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Speaker 1: compliance with national standards. I mean, try to imagine how

401
00:21:12,240 --> 00:21:15,240
Speaker 1: bad her application must have been for her to not

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Speaker 1: get the affrontable in the first place, when her mom

403
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Speaker 1: is Christine. Know, first of all, the application was in krayon.

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Speaker 1: I don't know if you guys it must have been

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00:21:23,640 --> 00:21:27,840
Speaker 1: it must have literally been Graham. He's like someone else's

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00:21:27,880 --> 00:21:31,040
Speaker 1: application on top of this with crayon, like it's not

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Speaker 1: even your name, miss oh okay. So that's all these

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Speaker 1: biases and things I got to overcome now, uh, And

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Speaker 1: I mean, look, no shade too. You know, real estate applications,

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Speaker 1: it seems fairly straightforward to get licensed, I know, and

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Speaker 1: appraise like this specific certification might be a little more specific.

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Speaker 1: I'm sure. However, for a lot of people, but not

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Speaker 1: the not her. You wouldn't like this because the moment

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Speaker 1: that they denied this, the meeting that you're about to describe,

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00:22:01,200 --> 00:22:04,000
Speaker 1: was like said in motion, and they had to have

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Speaker 1: known that like they had, there was only one option,

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Speaker 1: So the certification denied governor Mommy coming through and demand

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00:22:13,000 --> 00:22:17,359
Speaker 1: demanded a fucking soprano styles sit down with Sherry Brand,

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Speaker 1: who is the manager of the appraiser certification program, her

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Speaker 1: direct supervisor, and the State Secretary of Labor and talk

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Speaker 1: to your daughter. And my daughter was there. I do

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Speaker 1: like that she did. Let me talk to your manager

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Speaker 1: with the and your direct supervisor. I need to speak

424
00:22:38,520 --> 00:22:41,280
Speaker 1: to everyone's manager. So who's your manager? Okay, their manager

425
00:22:41,320 --> 00:22:43,679
Speaker 1: as well, and who's yours too. I just thought that

426
00:22:43,720 --> 00:22:45,960
Speaker 1: she she did all that when she could have just

427
00:22:46,080 --> 00:22:48,479
Speaker 1: hired somebody to fill out the application. And you know,

428
00:22:48,560 --> 00:22:50,480
Speaker 1: like you know what I mean, Like, there's so many

429
00:22:50,480 --> 00:22:52,760
Speaker 1: ways you could have really played the system if you

430
00:22:52,800 --> 00:22:54,960
Speaker 1: wanted to, you know, just trying to do it the

431
00:22:55,040 --> 00:22:59,040
Speaker 1: right way. Yeah, failing spectacularly and then having her mother

432
00:22:59,080 --> 00:23:02,040
Speaker 1: abused the office the power of her office to get

433
00:23:02,080 --> 00:23:05,040
Speaker 1: this done. So oddly enough, a couple of months after

434
00:23:05,080 --> 00:23:09,639
Speaker 1: that meeting, boom, she's certified, baby certified and is ready

435
00:23:09,680 --> 00:23:13,199
Speaker 1: to start appraising. A praise the Lord, but it is

436
00:23:13,240 --> 00:23:18,600
Speaker 1: not nepotism. And Christie Nome did a vertical video apology.

437
00:23:18,680 --> 00:23:22,360
Speaker 1: So you know she's fucking serious about this. So this

438
00:23:22,480 --> 00:23:26,920
Speaker 1: is Governor Nomes self taped. It wasn't nepotism, but very listen,

439
00:23:27,040 --> 00:23:30,320
Speaker 1: very closely, how she just even lets this unfold. And

440
00:23:30,359 --> 00:23:32,719
Speaker 1: I wanted to take a second to set the record straight.

441
00:23:33,320 --> 00:23:36,639
Speaker 1: I never once asked for special treatment for Cassidy. She

442
00:23:36,840 --> 00:23:39,320
Speaker 1: is my daughter and I'm proud of her. I raised

443
00:23:39,320 --> 00:23:41,760
Speaker 1: her to accomplish things on her own, just like my

444
00:23:41,840 --> 00:23:45,440
Speaker 1: parents raised me. Other appraisers went through the exact same

445
00:23:45,480 --> 00:23:48,520
Speaker 1: process that Cassidy did right here, and I'll be honest,

446
00:23:49,080 --> 00:23:53,240
Speaker 1: my administration started fixing that process and it was way

447
00:23:53,280 --> 00:23:56,800
Speaker 1: too difficult. Appraisers weren't getting certified and celt Dakota is

448
00:23:56,920 --> 00:23:59,320
Speaker 1: having to wait much longer to buy a home than

449
00:23:59,359 --> 00:24:02,160
Speaker 1: another stick. Okay, that's it. I don't even care about

450
00:24:02,160 --> 00:24:05,600
Speaker 1: the rest state it goes. Yeah, I didn't do nothing. However,

451
00:24:06,200 --> 00:24:10,520
Speaker 1: we have process the problems. Yeah, it was way too hard,

452
00:24:10,680 --> 00:24:13,879
Speaker 1: way too difficult. I'm sorry, did you is that a

453
00:24:13,920 --> 00:24:17,520
Speaker 1: direct quote from your daughter? It's way too difficult. I

454
00:24:17,520 --> 00:24:24,840
Speaker 1: don't difficques coins application runs and nfl out a moment.

455
00:24:25,680 --> 00:24:33,840
Speaker 1: There is nothing o rry. I need to see you tomorrow.

456
00:24:34,560 --> 00:24:38,000
Speaker 1: Your manager and her manager to this is thank you

457
00:24:38,040 --> 00:24:40,440
Speaker 1: what we think? No, I got a baby, I know, honey,

458
00:24:40,680 --> 00:24:44,600
Speaker 1: So I can't believe they made you read. I wonder

459
00:24:44,640 --> 00:24:47,200
Speaker 1: if they don't know the difference between nepotism and incests.

460
00:24:47,280 --> 00:24:53,320
Speaker 1: And that's why she's like, it's not depticism. It's like, lady,

461
00:24:53,560 --> 00:24:55,359
Speaker 1: do you even know, because you know, it sounds like

462
00:24:55,400 --> 00:24:58,439
Speaker 1: she doesn't know what nepotism is. No, it's really what

463
00:24:58,480 --> 00:25:00,720
Speaker 1: it sounds like. I mean, it's especially when you then

464
00:25:00,800 --> 00:25:04,000
Speaker 1: go on to say, however, we did have to fix

465
00:25:04,040 --> 00:25:09,000
Speaker 1: some problems over in that place that made my daughter upset. Okay,

466
00:25:09,560 --> 00:25:14,240
Speaker 1: She's like, y'all, nepotism is disgusting and that's why obviously

467
00:25:14,280 --> 00:25:17,720
Speaker 1: I support abortions in the case of rape and nepotism.

468
00:25:18,359 --> 00:25:22,040
Speaker 1: And they're like, I also love that you can see

469
00:25:22,040 --> 00:25:25,000
Speaker 1: the ring light in her eyes and the video that's

470
00:25:25,040 --> 00:25:27,680
Speaker 1: my favorite, when you're just like, and the glasses, did

471
00:25:27,720 --> 00:25:31,040
Speaker 1: you a glasses? That's what I call them, you know,

472
00:25:31,119 --> 00:25:33,920
Speaker 1: it's an apology when someone who's not normally wearing glasses

473
00:25:34,119 --> 00:25:36,920
Speaker 1: puts the glasses on or around their head to kind

474
00:25:36,960 --> 00:25:39,000
Speaker 1: of I think it evokes that old things like Batman

475
00:25:39,000 --> 00:25:41,280
Speaker 1: when the jokers like you wouldn't punch a guy with glasses,

476
00:25:41,320 --> 00:25:45,600
Speaker 1: which funny, what a mess. Let me just take a

477
00:25:45,600 --> 00:25:48,960
Speaker 1: break from all this work I'm doing with my glasses

478
00:25:49,080 --> 00:25:51,879
Speaker 1: to put them up on the top of my apologize.

479
00:25:51,960 --> 00:25:55,560
Speaker 1: You guys are a distraction from the She definitely took

480
00:25:55,680 --> 00:25:57,960
Speaker 1: more time on hair and makeup than she did on

481
00:25:58,040 --> 00:26:05,720
Speaker 1: the apology. Yeah, ohause isn't there. But it's just this

482
00:26:05,800 --> 00:26:08,000
Speaker 1: is why it's so bad. You won't believe how long

483
00:26:08,040 --> 00:26:10,840
Speaker 1: it takes to buy somebody to buy a house in

484
00:26:10,640 --> 00:26:13,520
Speaker 1: in South Dakota because there's no appraisers. I mean, really,

485
00:26:13,520 --> 00:26:15,240
Speaker 1: what I'm trying to do. She goes on to be like,

486
00:26:15,359 --> 00:26:17,359
Speaker 1: I need to get more young people involved in this

487
00:26:17,640 --> 00:26:20,520
Speaker 1: to give them opportunities, because there shouldn't be so many

488
00:26:20,520 --> 00:26:23,960
Speaker 1: obstacles to opportunity. Please don't look at my policies on

489
00:26:24,080 --> 00:26:28,560
Speaker 1: education funding or things as it relates to reservations. But anyway,

490
00:26:28,800 --> 00:26:31,040
Speaker 1: that's what I believe us. It's like the classic white

491
00:26:31,040 --> 00:26:34,439
Speaker 1: feminism story, right, like they fucking want to adjust it

492
00:26:34,480 --> 00:26:38,320
Speaker 1: for them and they think that that's helping everybody. Well, yeah,

493
00:26:38,400 --> 00:26:41,199
Speaker 1: or use that very narrow like lens to say like

494
00:26:41,400 --> 00:26:43,919
Speaker 1: the version of what is being experienced now is actually

495
00:26:44,119 --> 00:26:47,800
Speaker 1: an oppressive force that we're trying to counteract versus my

496
00:26:47,880 --> 00:26:50,600
Speaker 1: daughter is ill prepared. I probably raised her as such,

497
00:26:50,720 --> 00:26:52,919
Speaker 1: or whenever she had a problem, Mom would solve it

498
00:26:52,960 --> 00:26:55,040
Speaker 1: without her having to learn a lesson, which has created

499
00:26:55,119 --> 00:26:59,240
Speaker 1: runaway momentum for this baby adult who I've raised now,

500
00:26:59,320 --> 00:27:02,280
Speaker 1: who now screams when they don't get their appraisers. Oh

501
00:27:02,359 --> 00:27:04,720
Speaker 1: my god, I just thought of I've had My mom

502
00:27:04,800 --> 00:27:06,720
Speaker 1: helped me on one thing once when I was in

503
00:27:06,880 --> 00:27:09,080
Speaker 1: high school. I think we had to we had to

504
00:27:09,160 --> 00:27:13,879
Speaker 1: carve out the fucking was the sphinx, like one of

505
00:27:13,880 --> 00:27:18,840
Speaker 1: those no from soap and yeah. So I was trying

506
00:27:18,880 --> 00:27:20,520
Speaker 1: to do it right and I was like, Mom, can

507
00:27:20,560 --> 00:27:21,800
Speaker 1: you help me? And she was like yeah, And then

508
00:27:21,840 --> 00:27:23,439
Speaker 1: she started doing it and I was like, okay, let

509
00:27:23,440 --> 00:27:24,760
Speaker 1: me and she was like no, let me, and she

510
00:27:24,960 --> 00:27:27,879
Speaker 1: finished it. I didn't want her to. She just like,

511
00:27:28,080 --> 00:27:29,480
Speaker 1: you know what, you're gonna mess this up. And I

512
00:27:29,480 --> 00:27:31,280
Speaker 1: worked really hard on the back, so now I'm just

513
00:27:31,280 --> 00:27:34,919
Speaker 1: gonna do the whole face and I was like and

514
00:27:34,960 --> 00:27:38,679
Speaker 1: then yeah, I mean, we saved it. And to this day,

515
00:27:38,720 --> 00:27:40,480
Speaker 1: when I look at it, I'm just like, mmm, I

516
00:27:40,520 --> 00:27:42,879
Speaker 1: will never ask that woman for help again. She just

517
00:27:42,920 --> 00:27:45,800
Speaker 1: looking snatched it out of my hands. I mean, it's

518
00:27:45,840 --> 00:27:48,240
Speaker 1: so weird when your parents are just like, let me

519
00:27:48,320 --> 00:27:49,800
Speaker 1: do this thing for you, and you're like, but it

520
00:27:49,960 --> 00:27:54,600
Speaker 1: just has to do with my school and like the opportunity, Yeah,

521
00:27:55,080 --> 00:27:57,080
Speaker 1: let me fail on my own, No, because I gotta

522
00:27:57,119 --> 00:27:59,240
Speaker 1: show you. Mom still gotta wouldn't exact a knife in

523
00:27:59,280 --> 00:28:02,720
Speaker 1: a bar of here we go. So funny, but we

524
00:28:02,760 --> 00:28:04,760
Speaker 1: still have it. Sometimes I'll see it and I'm just like,

525
00:28:05,000 --> 00:28:07,199
Speaker 1: this doesn't even mine. But she was like, you remember

526
00:28:07,200 --> 00:28:08,560
Speaker 1: that when you made that. I was like, I didn't

527
00:28:08,560 --> 00:28:13,760
Speaker 1: make that. You made that. Yeah, that's funny, funny, the

528
00:28:13,880 --> 00:28:15,840
Speaker 1: same the one it's so funny you said that. The

529
00:28:15,920 --> 00:28:17,920
Speaker 1: one time my mom ever helped me with the school

530
00:28:17,960 --> 00:28:21,480
Speaker 1: project was with it like an ancient Egypt diorama had

531
00:28:21,520 --> 00:28:23,960
Speaker 1: to build and I was trying to make my own

532
00:28:24,040 --> 00:28:27,639
Speaker 1: pyramids out of paper and on. My dumbass just didn't

533
00:28:27,640 --> 00:28:30,280
Speaker 1: know how to funk with geometry property to get it.

534
00:28:30,280 --> 00:28:34,480
Speaker 1: And my mom watched me struggle for hours good and

535
00:28:34,520 --> 00:28:36,920
Speaker 1: then until she was just like yo, like you can't

536
00:28:36,920 --> 00:28:38,840
Speaker 1: embarrass me like this. We bring this ship in here,

537
00:28:38,880 --> 00:28:41,080
Speaker 1: like here, like just cut this paper like this and

538
00:28:41,080 --> 00:28:43,480
Speaker 1: then just fold it and then it'll be it'll look

539
00:28:43,520 --> 00:28:47,080
Speaker 1: like a little pyramid. And I'm like, and I remember

540
00:28:47,160 --> 00:28:49,200
Speaker 1: like being so self conscious when I brought it like that.

541
00:28:49,200 --> 00:28:51,080
Speaker 1: I was like, the teacher's gonna know my mom did this.

542
00:28:51,480 --> 00:28:54,160
Speaker 1: You know, my mom did the fucking paper pyramid. And no,

543
00:28:54,360 --> 00:28:56,960
Speaker 1: it wasn't like that, but I'll never shake that feeling either. Yeah,

544
00:28:56,960 --> 00:28:59,280
Speaker 1: it's so funny, right because I got an a on it,

545
00:28:59,320 --> 00:29:04,520
Speaker 1: and I was like so upset for me to like

546
00:29:04,600 --> 00:29:08,160
Speaker 1: with you know, Asian household, it's very much like sink

547
00:29:08,240 --> 00:29:10,880
Speaker 1: or swim, motherfucker like and if you fail, I hope

548
00:29:10,880 --> 00:29:12,760
Speaker 1: you ready for the shame train because it's about to

549
00:29:12,760 --> 00:29:14,680
Speaker 1: make a stop at this house. You'd be better hop on.

550
00:29:15,320 --> 00:29:18,640
Speaker 1: But like, at the same time, also became very much

551
00:29:18,680 --> 00:29:21,160
Speaker 1: like able to rely on myself because I was like,

552
00:29:21,280 --> 00:29:24,240
Speaker 1: you know what, because I feel like every kid, like

553
00:29:24,280 --> 00:29:26,800
Speaker 1: when book report time will come around, there was always

554
00:29:26,800 --> 00:29:28,800
Speaker 1: that one kid, you know, like your mom fucking made

555
00:29:28,800 --> 00:29:32,200
Speaker 1: that ship. I've seen you. You can't even color in

556
00:29:32,240 --> 00:29:34,720
Speaker 1: the fucking lines, And now you did a whole ass

557
00:29:35,080 --> 00:29:38,520
Speaker 1: diorama out of a moving box. That's like the scale, No, No.

558
00:29:40,240 --> 00:29:43,800
Speaker 1: My dad helped me with math homework in sixth grade

559
00:29:43,840 --> 00:29:46,880
Speaker 1: once and I still remember it because it ultimately ended

560
00:29:46,920 --> 00:29:51,160
Speaker 1: with him being like, your teacher is wrong about this.

561
00:29:50,840 --> 00:29:54,360
Speaker 1: This doesn't move, this doesn't make sense to me. And

562
00:29:54,960 --> 00:29:57,400
Speaker 1: my poor teacher, who was like such a hardass, she

563
00:29:57,440 --> 00:30:00,520
Speaker 1: didn't give a funk. She was just like, h uh

564
00:30:00,600 --> 00:30:06,160
Speaker 1: huh yeah, okay, yeah, and you're a basketball coach, right, okay, yeah,

565
00:30:06,600 --> 00:30:09,720
Speaker 1: so why don't you just add up the score? That's

566
00:30:09,720 --> 00:30:11,480
Speaker 1: what you can only count to five, right, and do

567
00:30:11,560 --> 00:30:14,120
Speaker 1: it in ones, twos and threes? Because he isn't that

568
00:30:14,120 --> 00:30:15,680
Speaker 1: funny that we all have a story and then we

569
00:30:15,720 --> 00:30:18,120
Speaker 1: all are like we very vividly remember and how it

570
00:30:18,160 --> 00:30:19,920
Speaker 1: made us feel, how we still feel about it, and

571
00:30:19,960 --> 00:30:22,160
Speaker 1: like Christie Newham's daughter is probably like, well, so that

572
00:30:22,240 --> 00:30:25,560
Speaker 1: it is sometimes for somebody, Well that's like because you know,

573
00:30:25,760 --> 00:30:27,520
Speaker 1: I grew up around a lot of kids who were

574
00:30:27,560 --> 00:30:31,200
Speaker 1: the children of celebrities, and they all have that similar thing,

575
00:30:31,280 --> 00:30:34,560
Speaker 1: which is money has solved all of their problems since

576
00:30:34,600 --> 00:30:37,320
Speaker 1: they can remember. And I mean there's some kids who

577
00:30:37,640 --> 00:30:39,680
Speaker 1: you know, were raised i'd be a little more self relife,

578
00:30:39,720 --> 00:30:42,680
Speaker 1: but many are like to the point where it's like

579
00:30:43,000 --> 00:30:44,720
Speaker 1: you move in, You're like, yo, can you set up

580
00:30:44,720 --> 00:30:46,719
Speaker 1: the WiFi or something like they don't even know how

581
00:30:46,760 --> 00:30:48,920
Speaker 1: to set up a WiFi account, like to even like,

582
00:30:49,320 --> 00:30:51,320
Speaker 1: you know, you call the phone company and they're like

583
00:30:51,440 --> 00:30:53,840
Speaker 1: huh And I'm like, funck, bro, did your mom always

584
00:30:53,840 --> 00:30:55,680
Speaker 1: do this? Like they'll be like, yeah, my mom got

585
00:30:55,680 --> 00:31:02,120
Speaker 1: it covered. You're still on the parent pone now wild Yeah,

586
00:31:02,280 --> 00:31:06,160
Speaker 1: don't be bullied into not drunk driving. Okay, don't be bullied.

587
00:31:06,200 --> 00:31:12,640
Speaker 1: Don't let the thought bullies. Uh, you know, research on Facebook,

588
00:31:12,840 --> 00:31:17,920
Speaker 1: which speaking of Francis Hagen, which is how German people

589
00:31:17,920 --> 00:31:22,240
Speaker 1: say Hulk Cogan, last name, um hash, I don't know, man,

590
00:31:23,440 --> 00:31:26,440
Speaker 1: I don't know, you know what, keep it, keep it,

591
00:31:28,080 --> 00:31:33,840
Speaker 1: I don't know. Come on now. Francis Hagen has now

592
00:31:34,120 --> 00:31:38,240
Speaker 1: testified in front of Congress in like words that it

593
00:31:38,280 --> 00:31:41,120
Speaker 1: seems like they might be able to understand based on

594
00:31:41,160 --> 00:31:45,280
Speaker 1: their response. Yeah, I mean, because I think this one

595
00:31:45,560 --> 00:31:48,320
Speaker 1: for a lot of people, it feels like this could

596
00:31:48,360 --> 00:31:51,720
Speaker 1: be a slightly different moment as it relates to Facebook

597
00:31:52,000 --> 00:31:56,080
Speaker 1: and talking Facebook on Capitol Hill because typically when the

598
00:31:56,120 --> 00:31:59,520
Speaker 1: Senate halls Facebook up to the Hill for some just

599
00:31:59,640 --> 00:32:04,920
Speaker 1: good explaining it's usually some very slick representative or a

600
00:32:05,000 --> 00:32:09,120
Speaker 1: lawyer or like an alien form of Mark Zuckerberg like

601
00:32:09,200 --> 00:32:12,440
Speaker 1: doing the talking and people that are like these are

602
00:32:12,480 --> 00:32:15,120
Speaker 1: all people that are like well versed in obscuring like

603
00:32:15,200 --> 00:32:18,440
Speaker 1: the sins of Facebook, like through their like rhetorical mash

604
00:32:18,480 --> 00:32:20,640
Speaker 1: tree and just being like, well, you know, I think

605
00:32:20,640 --> 00:32:22,520
Speaker 1: I have to get back to you, but actually the

606
00:32:22,560 --> 00:32:24,400
Speaker 1: way this product is, you know, it's all this just

607
00:32:24,520 --> 00:32:27,280
Speaker 1: it's it's just a lot of sidestepping when hard questions

608
00:32:27,280 --> 00:32:31,080
Speaker 1: are being asked, well, yeah, I mean, and they're also explaining,

609
00:32:31,520 --> 00:32:34,680
Speaker 1: like they're also doing this like sick explanation. That's like

610
00:32:34,800 --> 00:32:39,680
Speaker 1: explanation to like octogenarians who don't know what computers are.

611
00:32:40,320 --> 00:32:42,600
Speaker 1: Like that's part of it too, you know, yeah, oh

612
00:32:42,600 --> 00:32:44,960
Speaker 1: a huge part. So there, it's just very easy for

613
00:32:45,000 --> 00:32:47,400
Speaker 1: them to go by because they'll be like, what's finn

614
00:32:47,440 --> 00:32:50,160
Speaker 1: stuff and they're like, that's not us, sir, You're confused,

615
00:32:50,160 --> 00:32:52,479
Speaker 1: old man. Here's your apple sauce and I think you're

616
00:32:52,520 --> 00:32:55,680
Speaker 1: tapioca is getting warm. It's like, oh, thank you, And

617
00:32:55,840 --> 00:32:58,959
Speaker 1: they've just completely sidestepped to question, well, how again has

618
00:32:59,000 --> 00:33:02,360
Speaker 1: come out here? And just letting these dinosaurs know, very

619
00:33:02,400 --> 00:33:06,920
Speaker 1: straightforward and very plain words from the beginning. So this

620
00:33:07,000 --> 00:33:10,479
Speaker 1: is how Agan just coming to the senators being very direct,

621
00:33:10,640 --> 00:33:14,120
Speaker 1: straightforward and letting them know, hey, you know, um there

622
00:33:14,160 --> 00:33:16,640
Speaker 1: there's there's actual Let let me just say this in

623
00:33:16,760 --> 00:33:21,000
Speaker 1: normal sentences, what is happening at Facebook? During my time

624
00:33:21,000 --> 00:33:24,840
Speaker 1: at Facebook, I came to realize the devastating truth almost

625
00:33:24,880 --> 00:33:28,520
Speaker 1: no one outside of Facebook knows what happens inside of Facebook.

626
00:33:29,320 --> 00:33:33,200
Speaker 1: The company intentionally hides vital information from the public, from

627
00:33:33,240 --> 00:33:35,600
Speaker 1: the U. S. Government and from governments around the world.

628
00:33:36,200 --> 00:33:39,400
Speaker 1: The documents I have provided to Congress proof that Facebook

629
00:33:39,400 --> 00:33:43,120
Speaker 1: has repeatedly misled the public about what its own research

630
00:33:43,120 --> 00:33:46,640
Speaker 1: reveals about the safety of children, the efficacy of its

631
00:33:46,720 --> 00:33:50,680
Speaker 1: artificial intelligence systems, and its role in spreading divisive and

632
00:33:50,720 --> 00:33:54,960
Speaker 1: extreme messages. So that's that's that seems like an easy

633
00:33:55,000 --> 00:33:58,920
Speaker 1: follow h just yeah, you you're you're blowing the whistle.

634
00:33:59,040 --> 00:34:01,880
Speaker 1: You're saying I've thing you thought you knew, you act

635
00:34:01,920 --> 00:34:05,080
Speaker 1: in fact, do not know because there is a policy

636
00:34:05,120 --> 00:34:08,280
Speaker 1: there to keep as many people in the dark as possible.

637
00:34:08,680 --> 00:34:11,080
Speaker 1: And that was sort of one of our first statements.

638
00:34:11,120 --> 00:34:14,040
Speaker 1: And people are like, Okay, well, well what else is

639
00:34:14,080 --> 00:34:16,120
Speaker 1: going on? What? What? What else? Can you can you

640
00:34:16,200 --> 00:34:19,400
Speaker 1: tell us is happening? And you know, I think she

641
00:34:19,480 --> 00:34:22,480
Speaker 1: said she stresses the same thing about this whole profits

642
00:34:22,520 --> 00:34:26,000
Speaker 1: over people thing which we've seen constantly over and over again,

643
00:34:26,040 --> 00:34:29,319
Speaker 1: which is that when push comes to shove, they will

644
00:34:29,480 --> 00:34:33,440
Speaker 1: choose whatever they have to do to make money. That's it,

645
00:34:33,840 --> 00:34:35,960
Speaker 1: that's all that, that's all that this company is going

646
00:34:36,040 --> 00:34:38,880
Speaker 1: to do. And again, just so for the for the

647
00:34:38,880 --> 00:34:41,640
Speaker 1: elders in the back, in case you were understanding, like,

648
00:34:41,680 --> 00:34:43,839
Speaker 1: let me just say, it's not just algorithms or things

649
00:34:43,840 --> 00:34:46,080
Speaker 1: like that. This is the choices. These are the choices

650
00:34:46,080 --> 00:34:49,320
Speaker 1: that are being made at Facebook. During my time at Facebook,

651
00:34:49,400 --> 00:34:52,480
Speaker 1: first working as the lead product manager for Civic misinformation

652
00:34:53,080 --> 00:34:57,280
Speaker 1: and later on counter espionage, I saw Facebook repeatedly encounter

653
00:34:57,719 --> 00:35:02,120
Speaker 1: conflicts between its own profits and our safety. Facebook consistently

654
00:35:02,160 --> 00:35:06,279
Speaker 1: resolved these conflicts in favor of its own profits. The

655
00:35:06,320 --> 00:35:11,040
Speaker 1: result has been more division, more harm, more lies, more threats,

656
00:35:11,440 --> 00:35:15,320
Speaker 1: and more combat. In some cases. This is this dangerous

657
00:35:15,360 --> 00:35:18,360
Speaker 1: on like talk has led to actual violence that harms

658
00:35:18,440 --> 00:35:24,600
Speaker 1: and even kills people. Yeah, surprises when it's it's not

659
00:35:24,680 --> 00:35:27,560
Speaker 1: just uh like, I mean like in the industry that

660
00:35:27,600 --> 00:35:31,000
Speaker 1: we work in, like we've experienced Facebook just you know,

661
00:35:31,080 --> 00:35:34,560
Speaker 1: presumably just flat out lying about stuff in a way

662
00:35:34,560 --> 00:35:38,680
Speaker 1: that like just destroys entire industries. Like like a lot

663
00:35:38,760 --> 00:35:40,960
Speaker 1: of us worked in work or worked in like kind

664
00:35:40,960 --> 00:35:44,080
Speaker 1: of the digital comedy space, you know, writing for you know,

665
00:35:44,160 --> 00:35:47,440
Speaker 1: comedy websites who you know, when Facebook started allowing videos

666
00:35:47,440 --> 00:35:50,440
Speaker 1: on their platform, they like goosed the numbers on all

667
00:35:50,480 --> 00:35:52,200
Speaker 1: of their videos. So all of a sudden, you see

668
00:35:52,200 --> 00:35:54,279
Speaker 1: somebody post a video from their kid's birthday party and

669
00:35:54,280 --> 00:35:56,160
Speaker 1: then would look like it had like five million views

670
00:35:56,239 --> 00:35:59,120
Speaker 1: or something like that, and then every comedy website was

671
00:35:59,160 --> 00:36:01,799
Speaker 1: just like, oh, pivotal video only on Facebook. And then

672
00:36:01,840 --> 00:36:03,880
Speaker 1: that turned out to be like just a horrible idea

673
00:36:03,920 --> 00:36:08,080
Speaker 1: because Facebook just you know kind of tea rolled past it.

674
00:36:08,200 --> 00:36:12,520
Speaker 1: It's a view You're like, it isn't. Yeah. At my time,

675
00:36:12,520 --> 00:36:15,880
Speaker 1: a certain companies, the like the people who are running

676
00:36:15,880 --> 00:36:18,319
Speaker 1: to promcheck we love it just just because even if

677
00:36:18,320 --> 00:36:20,200
Speaker 1: they don't watch it, says down there it was you

678
00:36:20,320 --> 00:36:22,680
Speaker 1: three million times, and I'm like, god, yeah, and that's

679
00:36:22,680 --> 00:36:25,640
Speaker 1: something that like is it's you know, a big reason

680
00:36:25,680 --> 00:36:29,160
Speaker 1: that like online sketch comedy is just not a thing anymore,

681
00:36:29,520 --> 00:36:33,720
Speaker 1: is like because Facebook convinced all these places to pivot

682
00:36:33,800 --> 00:36:37,720
Speaker 1: to video. They hired huge video teams, and this caused

683
00:36:38,120 --> 00:36:40,200
Speaker 1: like too much overhead, which caused them to have to

684
00:36:40,239 --> 00:36:42,000
Speaker 1: like shut down and lay off all of their staffs

685
00:36:42,040 --> 00:36:45,160
Speaker 1: because it turns out that like Facebook was goosing those

686
00:36:45,239 --> 00:36:48,080
Speaker 1: numbers in the companies were seeing no profit from these

687
00:36:48,160 --> 00:36:51,319
Speaker 1: huge video teams that they were starting. So yeah, you know,

688
00:36:51,480 --> 00:36:54,880
Speaker 1: if they'll like do you know, if they'll work in

689
00:36:54,920 --> 00:36:57,759
Speaker 1: such a way that's self serving for that, then yeah,

690
00:36:57,880 --> 00:37:02,319
Speaker 1: for sure, I'm sure Facebook, like you know, gooses things

691
00:37:02,320 --> 00:37:05,239
Speaker 1: in other areas as this whistleblower definitely pointed out, you know,

692
00:37:05,880 --> 00:37:08,759
Speaker 1: and I think you know she's calling for. I think

693
00:37:08,800 --> 00:37:14,160
Speaker 1: like most people like transparency, like regulation, oversight because a

694
00:37:14,200 --> 00:37:17,520
Speaker 1: real popular defense that Facebook, you know, will deploy a

695
00:37:17,560 --> 00:37:19,919
Speaker 1: lot of times, like, you know, we don't really need

696
00:37:20,000 --> 00:37:22,400
Speaker 1: any like regulation because we're not like, like this is

697
00:37:22,400 --> 00:37:25,279
Speaker 1: not like an infrastructure people are using, Like it's like

698
00:37:25,320 --> 00:37:28,319
Speaker 1: a platform people were trying to start our own trying

699
00:37:28,320 --> 00:37:31,600
Speaker 1: to start a new world. Everybody cool, you know, it's

700
00:37:31,600 --> 00:37:35,279
Speaker 1: not infrastructure. But you know, when all their whole ship

701
00:37:35,440 --> 00:37:38,720
Speaker 1: went down for five hours on Monday, that certainly blew

702
00:37:38,719 --> 00:37:42,759
Speaker 1: that argument up because It's became really clear because many

703
00:37:42,800 --> 00:37:46,200
Speaker 1: people were like suddenly unable to communicate with people over

704
00:37:46,200 --> 00:37:49,680
Speaker 1: what's app internationally, like many people do use what'sapp for

705
00:37:50,080 --> 00:37:51,799
Speaker 1: or even like a lot of people who maybe do,

706
00:37:52,200 --> 00:37:54,960
Speaker 1: they're like run a small business on Instagram. Suddenly like

707
00:37:55,120 --> 00:37:58,200
Speaker 1: I'm losing out on my livelihood because this thing went down.

708
00:37:58,239 --> 00:38:00,200
Speaker 1: I don't know what's going on. I think a lot

709
00:38:00,200 --> 00:38:02,799
Speaker 1: of people begin to like that is providing a lot

710
00:38:02,840 --> 00:38:08,480
Speaker 1: of robust infrastructure for people to communicate or create a livelihood.

711
00:38:08,680 --> 00:38:13,399
Speaker 1: So what it's still just this casual thing. My version

712
00:38:13,440 --> 00:38:15,279
Speaker 1: of that, which I would say is equal in levels

713
00:38:15,320 --> 00:38:17,360
Speaker 1: of stress and importance, is I have a pro wrestling

714
00:38:17,400 --> 00:38:21,000
Speaker 1: group chat on Facebook and Facebook shutdown. I had to

715
00:38:21,040 --> 00:38:23,400
Speaker 1: be like, Okay, what's everybody's phone numbers. Let's put everybody

716
00:38:23,400 --> 00:38:25,480
Speaker 1: on a cell phone chat. So we have to like

717
00:38:25,840 --> 00:38:28,920
Speaker 1: migrate the pro wrestling group chat to text message for

718
00:38:28,960 --> 00:38:30,600
Speaker 1: five hours just so we could like talk about the

719
00:38:30,640 --> 00:38:34,120
Speaker 1: sweet wrestling news and rumors without like losing that infrastructure.

720
00:38:34,200 --> 00:38:36,120
Speaker 1: So like, but but that is a real thing. That

721
00:38:36,280 --> 00:38:40,080
Speaker 1: is like just Facebook Messenger, Instagram messenger and all that

722
00:38:40,120 --> 00:38:42,759
Speaker 1: are like ways that businesses communicate at this point, and

723
00:38:42,840 --> 00:38:45,680
Speaker 1: like yeah, or just using shops through Instagram, like if

724
00:38:45,719 --> 00:38:49,360
Speaker 1: you're just being like, hey, here's my bespoke whatever, whereas

725
00:38:49,440 --> 00:38:52,640
Speaker 1: I'm you know, creating that Facebook is a great place

726
00:38:52,680 --> 00:38:55,120
Speaker 1: for people or Instagram and Facebook has been a place

727
00:38:55,120 --> 00:38:57,240
Speaker 1: where people have been able to like I'm actually making

728
00:38:57,280 --> 00:39:00,759
Speaker 1: my living using this stuff. When I was working in

729
00:39:00,800 --> 00:39:05,320
Speaker 1: the online comedy space, like there there was a slow

730
00:39:05,440 --> 00:39:09,759
Speaker 1: but steady kind of change from things. You would get

731
00:39:09,760 --> 00:39:12,440
Speaker 1: a lot of traffic from Facebook and then like they

732
00:39:12,480 --> 00:39:16,320
Speaker 1: would start like kind of squeezing it down and squeezing

733
00:39:16,320 --> 00:39:20,160
Speaker 1: it down, and then like I went to a symposium

734
00:39:20,280 --> 00:39:22,319
Speaker 1: like put on by Facebook, you had to just like

735
00:39:23,080 --> 00:39:24,960
Speaker 1: focus on Facebook because that's where so much of the

736
00:39:24,960 --> 00:39:29,160
Speaker 1: traffic was coming from. And like the people were like, yeah,

737
00:39:29,200 --> 00:39:33,920
Speaker 1: industry wide page placement is really the only thing that's working.

738
00:39:33,960 --> 00:39:35,640
Speaker 1: And it was just like a given all of a

739
00:39:35,680 --> 00:39:38,600
Speaker 1: sudden that like you just had to pay to get

740
00:39:38,800 --> 00:39:42,560
Speaker 1: to distribute your content on on Facebook. So that's like

741
00:39:42,600 --> 00:39:46,280
Speaker 1: another way that they just like took out any small

742
00:39:46,800 --> 00:39:49,880
Speaker 1: content creator. Yeah. It's like if you have a Facebook

743
00:39:49,920 --> 00:39:53,360
Speaker 1: page with a million followers and you post a video

744
00:39:53,440 --> 00:39:57,000
Speaker 1: to it, usually like pre this, it would show up

745
00:39:57,000 --> 00:39:59,160
Speaker 1: in the new speeds of all million of your followers.

746
00:39:59,600 --> 00:40:02,600
Speaker 1: Then Facebook started doing kind of like this thing where oh,

747
00:40:02,640 --> 00:40:05,399
Speaker 1: it would only go to like ten of your followers

748
00:40:05,800 --> 00:40:07,960
Speaker 1: and then based on like how it doesn't analytics, and

749
00:40:08,000 --> 00:40:10,200
Speaker 1: then they would slowly parse it out to like the

750
00:40:10,280 --> 00:40:14,040
Speaker 1: other million. Or you could give Facebook a hundred dollars

751
00:40:14,040 --> 00:40:16,800
Speaker 1: and they would immediately put it out to all million people. Yeah,

752
00:40:16,800 --> 00:40:19,520
Speaker 1: and a bunch of people you don't even know. And

753
00:40:20,920 --> 00:40:24,160
Speaker 1: but that's you know, you're either paying them a shipload

754
00:40:24,160 --> 00:40:27,680
Speaker 1: of money or you know, doing like a fucking rain dance,

755
00:40:27,760 --> 00:40:30,799
Speaker 1: like to hope that the Facebook God smile on you

756
00:40:30,880 --> 00:40:34,000
Speaker 1: that day and like tweak the algorithm in a way

757
00:40:34,040 --> 00:40:36,279
Speaker 1: that makes it like a little bit fair to the

758
00:40:36,320 --> 00:40:40,480
Speaker 1: little guy. But all of that to say that all

759
00:40:40,600 --> 00:40:46,160
Speaker 1: publishers are still presumably, like non podcast publishers, I guess,

760
00:40:46,160 --> 00:40:49,719
Speaker 1: are still presumably very focused on like what Facebook's preferences are,

761
00:40:50,160 --> 00:40:53,840
Speaker 1: and I feel like that has to influence like what

762
00:40:54,080 --> 00:40:58,239
Speaker 1: we see, Like the the this story miles that you

763
00:40:58,239 --> 00:41:00,600
Speaker 1: put in here like just made me one under about

764
00:41:00,600 --> 00:41:03,560
Speaker 1: the fence to thing, which was like in in and

765
00:41:03,680 --> 00:41:08,640
Speaker 1: of itself, like inherently funny, but the the fact that

766
00:41:08,640 --> 00:41:10,759
Speaker 1: that one as viral as it did, and was sort

767
00:41:10,800 --> 00:41:13,080
Speaker 1: of the thing that overshadowed or like that was like

768
00:41:13,160 --> 00:41:18,080
Speaker 1: the main takeaway from that day of testimony was the

769
00:41:18,120 --> 00:41:20,880
Speaker 1: senator being like, what's offense to? Can you not do

770
00:41:21,160 --> 00:41:24,200
Speaker 1: any more of fense to? Like, I I have to

771
00:41:24,280 --> 00:41:27,759
Speaker 1: feel like that people saw that that was getting a

772
00:41:27,760 --> 00:41:31,320
Speaker 1: great response on Facebook, and that Facebook kind of encouraged

773
00:41:31,360 --> 00:41:34,080
Speaker 1: that along, because why the funk wouldn't they? Sure? But

774
00:41:34,120 --> 00:41:36,160
Speaker 1: I think also, I mean, if you're looking at very

775
00:41:36,160 --> 00:41:39,560
Speaker 1: cynically how we would at the Senate, it's just like,

776
00:41:39,719 --> 00:41:41,839
Speaker 1: even organically I would look at that and go, this

777
00:41:41,920 --> 00:41:45,640
Speaker 1: is the fucking problem. He's supposed to haul these people

778
00:41:45,719 --> 00:41:47,799
Speaker 1: up here for answers and he's just getting like he's

779
00:41:47,800 --> 00:41:51,080
Speaker 1: wasting his breath getting explained like a thing that isn't

780
00:41:51,200 --> 00:41:55,359
Speaker 1: necessarily a consequential than the purpose of the here. But yeah,

781
00:41:55,400 --> 00:41:57,560
Speaker 1: I mean, but yes that I think, like they say,

782
00:41:57,800 --> 00:41:59,799
Speaker 1: she goes on to say, you're we all live in

783
00:41:59,840 --> 00:42:02,560
Speaker 1: a world that is being affected by Facebook, whether you're

784
00:42:02,680 --> 00:42:05,600
Speaker 1: on there or not. There are many people that are

785
00:42:05,680 --> 00:42:08,080
Speaker 1: so yeah to that point, I'm sure there's there's an

786
00:42:08,120 --> 00:42:10,640
Speaker 1: element to that. I just want to say, quick side

787
00:42:10,719 --> 00:42:13,719
Speaker 1: note on a Jack saying the term rain dance. I

788
00:42:13,840 --> 00:42:16,640
Speaker 1: was like, it's like like like, I'm a Native person

789
00:42:16,760 --> 00:42:19,520
Speaker 1: and I've like heard that phrase a lot. But I

790
00:42:19,600 --> 00:42:23,239
Speaker 1: was like, wait, what did tribes really do that? Or

791
00:42:23,280 --> 00:42:25,959
Speaker 1: is that just a thing that people say that tribes did?

792
00:42:26,480 --> 00:42:28,120
Speaker 1: And I just googled it. I just want to say,

793
00:42:28,160 --> 00:42:30,360
Speaker 1: shout out to the Zuni tribe. But the Southwest they

794
00:42:30,440 --> 00:42:33,799
Speaker 1: did rain dances. Uh not not totally a thing that

795
00:42:33,840 --> 00:42:36,200
Speaker 1: people just made up that native folks don't actually do.

796
00:42:36,239 --> 00:42:38,960
Speaker 1: The Zuni tribe does it. So shout out to the Zunis. Yeah,

797
00:42:39,000 --> 00:42:41,920
Speaker 1: there you go. A teaching moment. Yeah, I was teaching

798
00:42:41,920 --> 00:42:43,759
Speaker 1: moment for me too, because I was just like, wait,

799
00:42:43,800 --> 00:42:46,040
Speaker 1: I've only seen the stereotype of that, but is that

800
00:42:46,080 --> 00:42:49,440
Speaker 1: a real thing? You know? Right right right. The The

801
00:42:49,480 --> 00:42:51,920
Speaker 1: other part of this that it was very interesting was

802
00:42:52,040 --> 00:42:57,200
Speaker 1: suddenly Richard Blumenthal, the famous man behind the fence, to

803
00:42:57,320 --> 00:43:01,239
Speaker 1: comment his energy was a lot different too, which I

804
00:43:01,360 --> 00:43:03,880
Speaker 1: found to be again like things feel a little bit

805
00:43:03,960 --> 00:43:08,399
Speaker 1: different about this hearing because now I think I'm sure

806
00:43:08,520 --> 00:43:11,960
Speaker 1: Richard Blumenthal has read up now on everything Facebook. It

807
00:43:12,040 --> 00:43:13,879
Speaker 1: looks like you put a little color in his hair,

808
00:43:14,200 --> 00:43:16,160
Speaker 1: but a little bit look a little I mean he's

809
00:43:16,160 --> 00:43:20,160
Speaker 1: always it's always been that form of denying. I'm aging Brown.

810
00:43:20,600 --> 00:43:23,040
Speaker 1: I think the reason for his fire is that he

811
00:43:23,080 --> 00:43:26,600
Speaker 1: has a Facebook page and he Facebook shutdown and he

812
00:43:26,719 --> 00:43:30,839
Speaker 1: was just like, no, my Heathcliff means he's like they

813
00:43:30,920 --> 00:43:33,480
Speaker 1: love ape. He was just like he was just like

814
00:43:33,520 --> 00:43:35,480
Speaker 1: there was five hours where he couldn't read a garbage

815
00:43:35,560 --> 00:43:39,160
Speaker 1: ape and he was panicking. Yeah, He's like his staffers

816
00:43:39,200 --> 00:43:43,520
Speaker 1: were having to like make ones on paper. It's like,

817
00:43:43,680 --> 00:43:46,160
Speaker 1: oh no, this has a logical punchline. That's not what

818
00:43:46,280 --> 00:43:52,560
Speaker 1: garbage ape. Heathcliff's tooth is. On the other side, Heathcliff

819
00:43:52,640 --> 00:43:55,040
Speaker 1: is wearing a helmet that has a word on it

820
00:43:55,080 --> 00:43:59,520
Speaker 1: that you can track the logic of. Get out of here, right.

821
00:44:00,080 --> 00:44:02,399
Speaker 1: So this is him saying he's coming with some way

822
00:44:02,440 --> 00:44:05,720
Speaker 1: different energy rather than what's Vince to He's like, Mark,

823
00:44:05,880 --> 00:44:09,120
Speaker 1: get over here. Mark Zuckerberg ought to be looking at

824
00:44:09,160 --> 00:44:13,400
Speaker 1: himself in the mirror today, and yet rather than taking

825
00:44:13,440 --> 00:44:22,239
Speaker 1: responsibility and showing leadership, Mr Zuckerberg is going sailing. Is

826
00:44:22,360 --> 00:44:26,920
Speaker 1: new modus opera endi, No apologies, no admission, no action,

827
00:44:27,400 --> 00:44:31,000
Speaker 1: nothing to see here. Mark Zuckerberg, you need to come

828
00:44:31,000 --> 00:44:35,680
Speaker 1: before this committee. You need to explain two, Francis Hogan,

829
00:44:36,719 --> 00:44:42,000
Speaker 1: to us, to the world and to the parents of America,

830
00:44:43,920 --> 00:44:45,920
Speaker 1: what you were doing and why you did it. M

831
00:44:46,239 --> 00:44:50,160
Speaker 1: So it's only about seven years too late. That's cool.

832
00:44:50,480 --> 00:44:52,319
Speaker 1: But to that point, as you know, I'm not going

833
00:44:52,360 --> 00:44:54,920
Speaker 1: to give Bluementhal, I'm not going to just start standing

834
00:44:55,000 --> 00:44:59,400
Speaker 1: up applauding him because there's they they're they're able to

835
00:44:59,440 --> 00:45:02,160
Speaker 1: do things up there, and Amy klob which are She's

836
00:45:02,200 --> 00:45:04,640
Speaker 1: also like, let me also let me also come in

837
00:45:04,680 --> 00:45:07,680
Speaker 1: with a take onto why there's been this glacial pace

838
00:45:08,080 --> 00:45:10,600
Speaker 1: in terms of us being able to regulate or have

839
00:45:11,000 --> 00:45:14,319
Speaker 1: oversight over things like Facebook. We have done nothing when

840
00:45:14,360 --> 00:45:17,600
Speaker 1: it comes to making the algorithms more transparent, allowing for

841
00:45:17,640 --> 00:45:22,040
Speaker 1: the university research that you refer to. Why because Facebook

842
00:45:22,040 --> 00:45:23,960
Speaker 1: and the other tech companies are throwing a bunch of

843
00:45:23,960 --> 00:45:27,000
Speaker 1: money around this town and people are listening to them,

844
00:45:27,080 --> 00:45:31,000
Speaker 1: we have done nothing significantly passed, although we are on

845
00:45:31,040 --> 00:45:35,080
Speaker 1: a bipartisan basis working in the Antitrust Subcommittee to get

846
00:45:35,080 --> 00:45:39,360
Speaker 1: something done. A consolidation, which you understand allows the dominant

847
00:45:39,360 --> 00:45:43,040
Speaker 1: platforms um to control all this like the bullies in

848
00:45:43,080 --> 00:45:45,920
Speaker 1: the neighborhood buy out, the companies that maybe could have

849
00:45:46,000 --> 00:45:50,759
Speaker 1: competed with them and added the bells and whistles. So yeah,

850
00:45:50,920 --> 00:45:53,960
Speaker 1: it's there's so many elements to this. You've got the

851
00:45:54,000 --> 00:45:57,560
Speaker 1: lobbying parts of this where they're like they've bought people's votes.

852
00:45:57,680 --> 00:46:01,480
Speaker 1: So that's an element of it, and we're trying to

853
00:46:01,520 --> 00:46:05,040
Speaker 1: do something. But I don't know that this this I

854
00:46:05,040 --> 00:46:08,000
Speaker 1: feel like at this point her words, Francis Hogan's words

855
00:46:08,000 --> 00:46:11,600
Speaker 1: were just so direct and just powerful, like to these

856
00:46:11,640 --> 00:46:14,959
Speaker 1: people that maybe this, this will inspire something different. There's

857
00:46:15,000 --> 00:46:18,160
Speaker 1: also like these tech companies are getting so big. This

858
00:46:18,200 --> 00:46:21,120
Speaker 1: is a story fromen but like Facebook and Amazon are

859
00:46:21,160 --> 00:46:26,960
Speaker 1: building their own towns for their employees to live. Yeah. Yeah, yeah.

860
00:46:27,000 --> 00:46:30,040
Speaker 1: So it's like there is just this weird level of like, yeah,

861
00:46:30,200 --> 00:46:35,480
Speaker 1: we need to have some level of oversight on Facebook, Instagram, Twitter,

862
00:46:36,280 --> 00:46:39,960
Speaker 1: all the hits, friends get the get the person who

863
00:46:40,000 --> 00:46:43,279
Speaker 1: runs friends to in here unless there are a lot

864
00:46:43,280 --> 00:46:46,279
Speaker 1: of memes about like the other platforms that kind of

865
00:46:46,280 --> 00:46:49,080
Speaker 1: be like we just spade to the back, Like I

866
00:46:49,080 --> 00:46:52,359
Speaker 1: don't know. Yeah, Facebook, they get it together over there.

867
00:46:53,160 --> 00:46:55,360
Speaker 1: You know. They're able to like get rid of things

868
00:46:55,400 --> 00:47:00,239
Speaker 1: like like obscene like child pornography. They're very quickly able

869
00:47:00,280 --> 00:47:02,600
Speaker 1: to like, you know, get things like that off of

870
00:47:02,600 --> 00:47:04,480
Speaker 1: the Internet. And then I think that's why a lot

871
00:47:04,520 --> 00:47:06,839
Speaker 1: of people are there, like but for whatever, but white

872
00:47:06,880 --> 00:47:11,200
Speaker 1: supremacy is just too lucrative, So that's why you want

873
00:47:11,239 --> 00:47:13,600
Speaker 1: to just turn the other way. Because Halgan also said

874
00:47:13,600 --> 00:47:16,520
Speaker 1: to that prior to the election, they like ramped up

875
00:47:16,560 --> 00:47:18,440
Speaker 1: a lot of the controls to help curb a lot

876
00:47:18,480 --> 00:47:21,680
Speaker 1: of misinformation and and just any just chaos around the

877
00:47:21,719 --> 00:47:24,720
Speaker 1: election because they didn't want a replay of twenty sixteen.

878
00:47:24,960 --> 00:47:26,840
Speaker 1: Or maybe they did but just to a lesser extent.

879
00:47:27,160 --> 00:47:30,920
Speaker 1: But they said once the election happened, they fucking they

880
00:47:30,960 --> 00:47:33,600
Speaker 1: took all those controls off, which really helped all the

881
00:47:33,600 --> 00:47:38,680
Speaker 1: big lie misinformation really get a ton of interaction on

882
00:47:38,719 --> 00:47:41,560
Speaker 1: Facebook because Facebook was trying to recoup the money they

883
00:47:41,600 --> 00:47:45,320
Speaker 1: lost from doing the slightly responsible thing before the election.

884
00:47:45,640 --> 00:47:49,239
Speaker 1: When it's also like the way that companies like Facebook

885
00:47:49,560 --> 00:47:55,360
Speaker 1: profit our things called like it's engagement, like comments, shares, whatever.

886
00:47:56,000 --> 00:48:00,360
Speaker 1: So like if you get into a Facebook are gumment

887
00:48:00,520 --> 00:48:03,200
Speaker 1: with like somebody you went to high school with who

888
00:48:03,239 --> 00:48:07,239
Speaker 1: like doesn't think that vaccines are real or whatever, Like

889
00:48:07,400 --> 00:48:10,279
Speaker 1: that's like Facebook wants that and like there's also things

890
00:48:10,280 --> 00:48:12,160
Speaker 1: that they can do with the algorithm to steer you

891
00:48:12,200 --> 00:48:14,759
Speaker 1: in that direction of like seeing things that they know

892
00:48:14,840 --> 00:48:17,080
Speaker 1: that you'll disagree with and comment on, so you'll start

893
00:48:17,120 --> 00:48:20,120
Speaker 1: this Facebook arguments which will increase the engagement on the

894
00:48:20,120 --> 00:48:23,960
Speaker 1: piece or whatever. And like it is just this how

895
00:48:24,000 --> 00:48:27,160
Speaker 1: are that these companies have over like, you know, like

896
00:48:27,200 --> 00:48:30,960
Speaker 1: how we communicate as people, And yeah, it sure would

897
00:48:30,960 --> 00:48:33,920
Speaker 1: be cool if somebody who didn't have profit in mind

898
00:48:34,080 --> 00:48:38,799
Speaker 1: was like quit it, right, yeah, exactly, And you hope

899
00:48:38,840 --> 00:48:43,160
Speaker 1: that like they would have people like Holgan help Congress

900
00:48:43,400 --> 00:48:46,200
Speaker 1: understand what they can do and what they could do,

901
00:48:46,480 --> 00:48:51,440
Speaker 1: rather than Richard Blumenthal asking his granddaughter like yeah, what

902
00:48:51,920 --> 00:48:54,160
Speaker 1: what should happen? But that's why it's important that people

903
00:48:54,200 --> 00:48:57,799
Speaker 1: like ao CD in Congress who are like in their thirties,

904
00:48:58,120 --> 00:49:02,440
Speaker 1: you know, people who like have Instagram accounts and understand

905
00:49:03,200 --> 00:49:06,759
Speaker 1: what this stuff is, you know, yeah, rather than someone

906
00:49:06,760 --> 00:49:08,839
Speaker 1: who's like, I don't know. My staffers said I need

907
00:49:08,920 --> 00:49:11,799
Speaker 1: one of these things, so I have that, and I

908
00:49:11,920 --> 00:49:14,520
Speaker 1: have a TikTok, but I don't know what it is.

909
00:49:15,360 --> 00:49:17,920
Speaker 1: Like them like they have an email that their staffers

910
00:49:18,040 --> 00:49:22,600
Speaker 1: check for them, you know, m right, they Yeah, that's

911
00:49:22,600 --> 00:49:26,200
Speaker 1: a really good point about the and like they put

912
00:49:26,280 --> 00:49:31,319
Speaker 1: and put these benevolent seeming values into the or not

913
00:49:31,360 --> 00:49:34,600
Speaker 1: even benevolent but just harmless seeming values like engagement into

914
00:49:34,640 --> 00:49:39,279
Speaker 1: the algorithm, and then that ends up leading to these

915
00:49:39,280 --> 00:49:44,000
Speaker 1: outcomes that they can claim are unintentional. They're they're not

916
00:49:44,040 --> 00:49:48,480
Speaker 1: putting like angry up the Facebook community into the algorithm,

917
00:49:48,520 --> 00:49:52,480
Speaker 1: but it's just engagement. But that the outcome of that,

918
00:49:52,640 --> 00:49:55,239
Speaker 1: which may be unintended, but they're not doing anything to

919
00:49:55,320 --> 00:49:58,880
Speaker 1: fix it, like, is that they just can't be trusted

920
00:49:58,920 --> 00:50:02,520
Speaker 1: to ever do anything to fix it on their own. It. Yeah,

921
00:50:02,719 --> 00:50:05,279
Speaker 1: the only way it can be done is regulation, right,

922
00:50:05,400 --> 00:50:07,560
Speaker 1: and society is just all saying like, we'll make as

923
00:50:07,640 --> 00:50:10,760
Speaker 1: much money as you can however you can, Like people

924
00:50:10,840 --> 00:50:13,600
Speaker 1: be damned. I gotta say one of my favorite Facebook

925
00:50:13,600 --> 00:50:17,360
Speaker 1: interactions to watch was a guy went to high school

926
00:50:17,400 --> 00:50:19,879
Speaker 1: with This was probably, i want to say, two years ago,

927
00:50:20,480 --> 00:50:24,560
Speaker 1: challenged another guy to a fist fight over Facebook, and

928
00:50:24,640 --> 00:50:27,799
Speaker 1: like they were on the Facebook wall post, which I

929
00:50:27,880 --> 00:50:29,839
Speaker 1: forget what it is about. It was probably just like

930
00:50:29,920 --> 00:50:34,680
Speaker 1: the burners are bad or whatever, you know, because yeah,

931
00:50:34,760 --> 00:50:37,759
Speaker 1: something like that, But it was like watching them try

932
00:50:37,800 --> 00:50:40,400
Speaker 1: to plan having a fist fight with each other on

933
00:50:40,440 --> 00:50:44,960
Speaker 1: a Facebook. Well was delight because it was just like, like,

934
00:50:45,040 --> 00:50:46,560
Speaker 1: what time do you get off work? I gotta work

935
00:50:46,560 --> 00:50:48,960
Speaker 1: at six pm. Let's meet in this park. No, I

936
00:50:49,080 --> 00:50:52,600
Speaker 1: actually I'm busy tonight. Let's do it all your friends fight, bro, No,

937
00:50:52,719 --> 00:50:54,640
Speaker 1: I know. I told you I have my daughters on

938
00:50:54,640 --> 00:51:00,360
Speaker 1: on Fridays and Saturdays, and I to grow men in

939
00:51:00,400 --> 00:51:03,560
Speaker 1: their thirties trying to plan a fist fight publicly over

940
00:51:03,719 --> 00:51:09,040
Speaker 1: fake Facebook ruled Thursdays for you, bitch. It was like

941
00:51:09,040 --> 00:51:10,200
Speaker 1: a lot of It was like a lot of that.

942
00:51:10,640 --> 00:51:12,600
Speaker 1: It was like them a new show, Like I can't

943
00:51:12,600 --> 00:51:16,719
Speaker 1: do it during my lunch break, I mean sales. If

944
00:51:16,719 --> 00:51:18,960
Speaker 1: I come back all scraped up, I might lose my job.

945
00:51:19,000 --> 00:51:22,080
Speaker 1: I'm not gonna risk that you. So, actually, on second thought,

946
00:51:22,120 --> 00:51:27,319
Speaker 1: now that I'm thinking about that, let's leave Facebook on regulated. Yeah.

947
00:51:27,360 --> 00:51:30,920
Speaker 1: One quick aside on the company towns thing, Joey that

948
00:51:30,920 --> 00:51:33,520
Speaker 1: you just mentioned. So last week we talked about Amazon

949
00:51:33,600 --> 00:51:37,759
Speaker 1: doing these company towns for sort of the laborers that

950
00:51:38,040 --> 00:51:42,759
Speaker 1: make their business model possible. But I think you were

951
00:51:42,800 --> 00:51:46,680
Speaker 1: referring to these Facebook and Google company towns that are

952
00:51:46,680 --> 00:51:50,560
Speaker 1: more for like the executive class that they're building that

953
00:51:50,640 --> 00:51:54,319
Speaker 1: are going to be these you know, elysium style like

954
00:51:54,440 --> 00:51:57,359
Speaker 1: really beautiful, you know, the way the Google campus was

955
00:51:57,400 --> 00:51:59,680
Speaker 1: held up as like the best place to work because

956
00:51:59,719 --> 00:52:03,040
Speaker 1: you had all these fucking chefs and many ball pits

957
00:52:03,160 --> 00:52:07,399
Speaker 1: and slides. Like they're building these company towns that are

958
00:52:07,480 --> 00:52:10,920
Speaker 1: like the next step in luxury and like you know,

959
00:52:11,160 --> 00:52:14,920
Speaker 1: communal living. But really they're just gonna be these hives

960
00:52:15,040 --> 00:52:20,319
Speaker 1: of like groupthink where which is really dangerous because these

961
00:52:20,320 --> 00:52:25,840
Speaker 1: companies are you know, controlling our country from the top down,

962
00:52:25,960 --> 00:52:30,120
Speaker 1: like in really profound ways, and so like, you know,

963
00:52:30,160 --> 00:52:32,880
Speaker 1: the more you just get the like minded people at

964
00:52:32,880 --> 00:52:35,279
Speaker 1: the top who have all the power just in their

965
00:52:35,320 --> 00:52:39,520
Speaker 1: own like like literally literal bubble, the I feel like

966
00:52:39,520 --> 00:52:41,839
Speaker 1: the worst it's going to get. All right, let's take

967
00:52:41,880 --> 00:52:43,480
Speaker 1: a quick break and we'll come back and talk about

968
00:52:43,520 --> 00:52:56,880
Speaker 1: Starbucks cups and we're back. And so BuzzFeed released a

969
00:52:57,040 --> 00:53:03,560
Speaker 1: declassified scientific review of the attacks that have been described

970
00:53:03,600 --> 00:53:07,120
Speaker 1: as Havannah syndrome. That the attacks are being quotes because

971
00:53:07,160 --> 00:53:09,960
Speaker 1: they found what we had suspected what a lot of

972
00:53:09,960 --> 00:53:12,879
Speaker 1: people have talked about, that the noises that they were

973
00:53:12,880 --> 00:53:17,919
Speaker 1: associating with the attacks that first happened in Havana were

974
00:53:18,000 --> 00:53:22,680
Speaker 1: crickets and it was a de classified like State Department studies.

975
00:53:22,680 --> 00:53:26,480
Speaker 1: So it's not this isn't like an outside researcher. This

976
00:53:26,600 --> 00:53:32,479
Speaker 1: is like what they have learned themselves. Now, around this time,

977
00:53:32,480 --> 00:53:37,000
Speaker 1: the Biden administration had started referring to Havana syndrome is

978
00:53:37,120 --> 00:53:41,280
Speaker 1: unexplained health incidents, which kind of suggested they were backing

979
00:53:41,320 --> 00:53:44,640
Speaker 1: off of the idea that they were delivered attacks from,

980
00:53:44,680 --> 00:53:49,959
Speaker 1: you know, adversaries. But because that became a story, they

981
00:53:50,360 --> 00:53:52,959
Speaker 1: now have issued a new report that seemed to back

982
00:53:53,040 --> 00:53:56,120
Speaker 1: and like jump back into the this is an attack

983
00:53:56,280 --> 00:54:01,920
Speaker 1: camp because the people who you know, are suffering the

984
00:54:02,200 --> 00:54:05,759
Speaker 1: symptoms believe that they were attacked and that they're very

985
00:54:05,840 --> 00:54:10,799
Speaker 1: sensitive understandably about because we're in their country attacking them

986
00:54:10,920 --> 00:54:17,160
Speaker 1: right exactly, so you very much would be the fuck Okay,

987
00:54:17,200 --> 00:54:19,759
Speaker 1: I'm just I'm just a nurse, that's all. I am,

988
00:54:19,960 --> 00:54:24,280
Speaker 1: not a cia op. But yeah, the this Miami Harold

989
00:54:24,360 --> 00:54:28,759
Speaker 1: Peace about like the new this new direction quotes a

990
00:54:29,719 --> 00:54:33,160
Speaker 1: and the this is a trend senior administration official but

991
00:54:33,239 --> 00:54:36,080
Speaker 1: no name. We need to believe our personnel who are

992
00:54:36,080 --> 00:54:39,399
Speaker 1: coming forward, people are facing real symptoms. We are very

993
00:54:39,440 --> 00:54:43,120
Speaker 1: conscious that people are experiencing something very real and it's

994
00:54:43,160 --> 00:54:46,279
Speaker 1: having a real negative effect on their health health, and

995
00:54:46,360 --> 00:54:49,120
Speaker 1: we're seeing better health outcomes the sooner we can respond

996
00:54:49,120 --> 00:54:51,200
Speaker 1: to that. So it's like they're trying to treat it

997
00:54:51,480 --> 00:54:53,799
Speaker 1: as though it's a real thing, because it is. As

998
00:54:53,840 --> 00:54:57,279
Speaker 1: we've talked about functional disorders, like they're the real thing.

999
00:54:57,440 --> 00:55:00,680
Speaker 1: That these people are experiencing real symptoms, they're not just

1000
00:55:00,840 --> 00:55:04,440
Speaker 1: making them up, but that it is probably a neurological

1001
00:55:04,960 --> 00:55:08,600
Speaker 1: and you know, a stress based thing. That and that

1002
00:55:08,719 --> 00:55:13,880
Speaker 1: is the thing that explanation is very offensive to anybody

1003
00:55:13,920 --> 00:55:19,799
Speaker 1: who is suffering from this, and so that there's this

1004
00:55:19,880 --> 00:55:23,680
Speaker 1: new article from Jacobin that just kind of puts this

1005
00:55:24,040 --> 00:55:29,120
Speaker 1: in the context of a bunch of different stories over

1006
00:55:29,160 --> 00:55:31,680
Speaker 1: the course of like the last twenty five years that

1007
00:55:31,800 --> 00:55:35,960
Speaker 1: have been kind of adopted and just repeated by the

1008
00:55:35,960 --> 00:55:40,840
Speaker 1: mainstream media because they are, you know, they go in

1009
00:55:40,880 --> 00:55:48,040
Speaker 1: the direction of like helping America maintain an aggressive foreign policy.

1010
00:55:48,120 --> 00:55:51,480
Speaker 1: So they start with a Havanna syndrome reporting and just

1011
00:55:51,560 --> 00:55:56,000
Speaker 1: like all the different headlines that flatly state that Cuba

1012
00:55:56,160 --> 00:56:00,440
Speaker 1: attacked US diplomats, which you know are general a CIA

1013
00:56:00,520 --> 00:56:04,840
Speaker 1: agents and you know, pointing out that any time somebody

1014
00:56:05,200 --> 00:56:09,480
Speaker 1: is quoted, it's always they're always quoted on background, or

1015
00:56:09,560 --> 00:56:14,520
Speaker 1: they're quoted as like a unidentified administration official, and they

1016
00:56:14,560 --> 00:56:18,080
Speaker 1: point out like this is this happened immediately after Trump

1017
00:56:18,560 --> 00:56:21,840
Speaker 1: indicated that they were going his administration was going to

1018
00:56:21,920 --> 00:56:25,600
Speaker 1: go like hard in the opposite direction of the Obama administration,

1019
00:56:25,719 --> 00:56:29,560
Speaker 1: start being like really hostile towards Cuba. And then this

1020
00:56:29,960 --> 00:56:33,920
Speaker 1: event happened, and they seized on it and started ramping

1021
00:56:34,000 --> 00:56:37,759
Speaker 1: up their negative foreign policy. But they kind of put

1022
00:56:37,800 --> 00:56:42,200
Speaker 1: it in the context of you know, the New York Times,

1023
00:56:42,200 --> 00:56:46,200
Speaker 1: all these mainstream media outlets trusting military officials on things

1024
00:56:46,280 --> 00:56:51,040
Speaker 1: like Russia Gate, which, in addition to being hostile towards

1025
00:56:51,120 --> 00:56:56,280
Speaker 1: Trump was also allowed the military to make Russia seem

1026
00:56:56,600 --> 00:56:59,359
Speaker 1: more dangerous. And you know, with a lot of the

1027
00:56:59,400 --> 00:57:03,120
Speaker 1: Iran reporting towards the end of the Trump administration, because

1028
00:57:03,120 --> 00:57:07,520
Speaker 1: they were trying to justify a like this says, I

1029
00:57:07,640 --> 00:57:09,000
Speaker 1: run on it. I don't know if what you want

1030
00:57:09,000 --> 00:57:10,879
Speaker 1: to do with that, maybe do a war. I don't,

1031
00:57:10,880 --> 00:57:16,000
Speaker 1: I don't know. Yeah, there's no we don't have a

1032
00:57:16,040 --> 00:57:18,880
Speaker 1: pattern of doing that at all in this country. Yeah,

1033
00:57:18,960 --> 00:57:21,520
Speaker 1: but it just reminds me of like the you know,

1034
00:57:21,560 --> 00:57:25,200
Speaker 1: we talked about the news relying on police sources and

1035
00:57:25,440 --> 00:57:28,120
Speaker 1: especially like for the local news, and like, you know,

1036
00:57:28,640 --> 00:57:31,120
Speaker 1: the guys with guns are the sources that they need

1037
00:57:31,160 --> 00:57:35,680
Speaker 1: to satisfy like audience blood lust, and like their willingness

1038
00:57:35,760 --> 00:57:38,560
Speaker 1: to chase that blood lust makes it so that we

1039
00:57:38,640 --> 00:57:41,520
Speaker 1: live in a world that we think is more dangerous

1040
00:57:41,560 --> 00:57:45,200
Speaker 1: and keeps people tuning in. And it also just creates

1041
00:57:45,280 --> 00:57:48,920
Speaker 1: this sort of feedback loop where you know, the version

1042
00:57:49,360 --> 00:57:52,760
Speaker 1: of like the world that exists in the minds of

1043
00:57:52,800 --> 00:57:56,560
Speaker 1: the military and the police gets like filtered back to

1044
00:57:56,640 --> 00:57:59,520
Speaker 1: us over and over again, and it's just you know, why,

1045
00:57:59,600 --> 00:58:05,120
Speaker 1: why is that, Like after the most catastrophic like mistake

1046
00:58:05,600 --> 00:58:09,480
Speaker 1: in the you know, recent history of America going to

1047
00:58:09,560 --> 00:58:13,120
Speaker 1: war and Iraq was like turned out to be based

1048
00:58:13,120 --> 00:58:16,280
Speaker 1: on a complete lie, you think that the mainstream media

1049
00:58:16,320 --> 00:58:20,440
Speaker 1: would have like altered their approach a little bit and

1050
00:58:20,560 --> 00:58:22,840
Speaker 1: been a little bit more willing to pump the brakes

1051
00:58:22,920 --> 00:58:25,640
Speaker 1: on ship like this. But it just seems like that

1052
00:58:25,840 --> 00:58:30,440
Speaker 1: is as currently constituted, Like unless something kind of dramatically changes,

1053
00:58:30,960 --> 00:58:35,440
Speaker 1: the mainstream media will let the military feed them you

1054
00:58:35,480 --> 00:58:39,960
Speaker 1: know bullshit. I think that the tolerance for bullshit stories

1055
00:58:40,000 --> 00:58:44,400
Speaker 1: from the Pentagon is higher because they're all they all

1056
00:58:44,440 --> 00:58:46,680
Speaker 1: have a relationship with each other. You know. It's like

1057
00:58:47,000 --> 00:58:49,200
Speaker 1: you have a homie who may bend the truth from

1058
00:58:49,200 --> 00:58:51,400
Speaker 1: time to time. You're like, okay, all right, that wasn't

1059
00:58:51,440 --> 00:58:53,560
Speaker 1: the best thing, but we're still good first because I

1060
00:58:53,640 --> 00:58:56,040
Speaker 1: know you. And it's the same thing, like you'll get

1061
00:58:56,080 --> 00:59:00,040
Speaker 1: burned by just straight up misinformation from the Pentagon, and

1062
00:59:00,080 --> 00:59:02,160
Speaker 1: still it's like, no, it's all good, like you don't

1063
00:59:02,200 --> 00:59:04,600
Speaker 1: worry about it, Like we gotta keep this thing going.

1064
00:59:04,640 --> 00:59:07,040
Speaker 1: You know, General Electric and the Pentagon do some good

1065
00:59:07,080 --> 00:59:09,680
Speaker 1: business together. And we're also NBC, so you know, well

1066
00:59:09,920 --> 00:59:11,920
Speaker 1: let's let's you know, we're not gonna make it too

1067
00:59:11,920 --> 00:59:15,040
Speaker 1: hot for anybody. Yeah, Can I be honest about this

1068
00:59:15,120 --> 00:59:17,720
Speaker 1: before we move on, just real quick. I think this

1069
00:59:17,800 --> 00:59:23,760
Speaker 1: Havana syndrome is jamaking me crazy. Are you are you

1070
00:59:23,760 --> 00:59:26,680
Speaker 1: gonna have they and a tough time about I'm having

1071
00:59:26,680 --> 00:59:29,880
Speaker 1: a tough time with this ventis and it's the sword

1072
00:59:29,880 --> 00:59:36,840
Speaker 1: of God. Oh I'm being serious. I know it's the problem.

1073
00:59:37,320 --> 00:59:43,200
Speaker 1: That's the problem. Oh man. Yeah, I mean, so many

1074
00:59:43,240 --> 00:59:46,760
Speaker 1: reporters like get into the game because they would like

1075
00:59:46,760 --> 00:59:50,080
Speaker 1: want to be war correspondents, like they have that like

1076
00:59:50,880 --> 00:59:53,880
Speaker 1: kind of you know, they grew up on the idea

1077
00:59:54,000 --> 00:59:56,400
Speaker 1: of like going to Vietnam and being a reporter on

1078
00:59:56,440 --> 00:59:59,760
Speaker 1: that or you know, and it just, you know, as

1079
01:00:00,200 --> 01:00:03,200
Speaker 1: I think you were suggesting as jamaking them crazy, it

1080
01:00:03,320 --> 01:00:05,640
Speaker 1: is and that's exactly not even suggesting just what I

1081
01:00:05,720 --> 01:00:08,040
Speaker 1: was pointed Lee saying, I think there's no room for

1082
01:00:08,080 --> 01:00:12,120
Speaker 1: interpretation there. In college, I had a I took a

1083
01:00:12,200 --> 01:00:15,920
Speaker 1: class called war reporting, and my professor was a former

1084
01:00:16,320 --> 01:00:20,360
Speaker 1: like embedded journalist, and he would never he would always

1085
01:00:20,360 --> 01:00:23,240
Speaker 1: just show us movies, and we would never were like

1086
01:00:23,480 --> 01:00:26,200
Speaker 1: it's like, why, like, you have the most interesting story

1087
01:00:26,360 --> 01:00:29,320
Speaker 1: in the world, why wouldn't you just teach us? And

1088
01:00:29,360 --> 01:00:31,680
Speaker 1: then one day there was this girling class like who

1089
01:00:31,840 --> 01:00:35,040
Speaker 1: just maybe like laid in a little too hard, being

1090
01:00:35,080 --> 01:00:37,160
Speaker 1: like all you do is show us movies, Like why

1091
01:00:37,160 --> 01:00:39,480
Speaker 1: don't you actually instruct us and tell us what it

1092
01:00:39,520 --> 01:00:44,000
Speaker 1: was like being there? And a forty five minutes story

1093
01:00:44,040 --> 01:00:48,120
Speaker 1: of one of the most emotionally traumatizing things I've ever

1094
01:00:48,160 --> 01:00:50,439
Speaker 1: heard in my entire life, the one time he ever

1095
01:00:50,560 --> 01:00:53,040
Speaker 1: told a story about his time and war, about how

1096
01:00:53,120 --> 01:00:55,520
Speaker 1: his guide was like murdered right in front of him,

1097
01:00:55,680 --> 01:00:58,240
Speaker 1: and then the whole class was like completely silent, negos

1098
01:00:58,920 --> 01:01:00,440
Speaker 1: all right, I think we're done for the day. And

1099
01:01:00,440 --> 01:01:02,200
Speaker 1: then he and we're like, never asked him to talk

1100
01:01:02,240 --> 01:01:04,400
Speaker 1: about it again. We just watched movies for the rest

1101
01:01:04,400 --> 01:01:06,520
Speaker 1: of the semester because it was that. It's like, yeah,

1102
01:01:06,520 --> 01:01:08,320
Speaker 1: that's why he doesn't talk about it, you know what

1103
01:01:08,320 --> 01:01:11,600
Speaker 1: I mean. Anyway, random side note, but seriously that that

1104
01:01:11,680 --> 01:01:14,320
Speaker 1: ja made me sane, that the joke doesn't work when

1105
01:01:14,360 --> 01:01:17,320
Speaker 1: you change it, that you made me sane. You can

1106
01:01:17,400 --> 01:01:20,520
Speaker 1: workshop that one. Yeah, it work on it. Come back,

1107
01:01:20,840 --> 01:01:22,920
Speaker 1: report back is like, that's the fun. Well we came

1108
01:01:23,000 --> 01:01:25,200
Speaker 1: up with okay, yeah, yeah, that's fine. I think it

1109
01:01:25,240 --> 01:01:27,240
Speaker 1: will stand. Just maybe it's give it a few years.

1110
01:01:27,480 --> 01:01:30,080
Speaker 1: Yeah yeah, we'll just yeah, we'll come back. Pittsford will

1111
01:01:30,080 --> 01:01:35,200
Speaker 1: do uh, they'll they'll they'll record. Yeah, all right, let's

1112
01:01:35,200 --> 01:01:38,480
Speaker 1: talk about the War on Christmas. That was the war

1113
01:01:38,560 --> 01:01:41,040
Speaker 1: that he was embedded in. By the way he was

1114
01:01:41,080 --> 01:01:46,800
Speaker 1: embedded in the War on Christmas, it's uh, it's begun.

1115
01:01:47,400 --> 01:01:51,800
Speaker 1: Fauci said in an interview that it's just too soon

1116
01:01:51,880 --> 01:01:55,600
Speaker 1: to tell whether holiday gatherings will need to be restricted

1117
01:01:55,840 --> 01:01:57,960
Speaker 1: due to the pandemic for a second year in a row,

1118
01:01:58,560 --> 01:02:06,160
Speaker 1: which is a arm. It doesn't really say anything. It's

1119
01:02:06,200 --> 01:02:09,000
Speaker 1: like a non answer that doesn't really offer any specifics

1120
01:02:09,120 --> 01:02:11,840
Speaker 1: for what kind of restrictions they might put in place.

1121
01:02:11,920 --> 01:02:14,800
Speaker 1: But right wing media, you know, I I guess the

1122
01:02:14,840 --> 01:02:18,720
Speaker 1: fact that he was willing to answer a question like

1123
01:02:18,920 --> 01:02:22,120
Speaker 1: enraged right wing media. The National Review wrote an article

1124
01:02:22,160 --> 01:02:26,120
Speaker 1: calling him a grinch, and you know, their Fox and

1125
01:02:26,200 --> 01:02:30,440
Speaker 1: Friends labeled Fauccia grinch because they you know, that was

1126
01:02:30,480 --> 01:02:37,640
Speaker 1: too good not to repurpose. October. It's October. They they're

1127
01:02:37,640 --> 01:02:41,080
Speaker 1: talking grinch and claimed that he was about to cancel

1128
01:02:41,200 --> 01:02:43,720
Speaker 1: Christmas based on his statement that it's too soon to

1129
01:02:43,720 --> 01:02:50,000
Speaker 1: tell that I it's a seems fully fabricated. But so

1130
01:02:50,040 --> 01:02:54,960
Speaker 1: there are actually this year, like legitimate threats to the

1131
01:02:55,200 --> 01:02:59,640
Speaker 1: Christmas traditions that they seem to hold so dear, such

1132
01:02:59,680 --> 01:03:04,240
Speaker 1: as you know, supply chain problems that are going to

1133
01:03:04,360 --> 01:03:08,520
Speaker 1: make it so that it's harder to order presence for people,

1134
01:03:08,920 --> 01:03:14,040
Speaker 1: or you know, the due to climate change, there are

1135
01:03:14,200 --> 01:03:18,440
Speaker 1: fewer Christmas trees available. And you know, there's a shortage

1136
01:03:18,480 --> 01:03:22,840
Speaker 1: of truck drivers because as their wages have declined over

1137
01:03:22,880 --> 01:03:26,480
Speaker 1: the years, there's just been a problem with finding enough

1138
01:03:26,520 --> 01:03:29,600
Speaker 1: people to do that job. As The New York Times

1139
01:03:29,800 --> 01:03:33,040
Speaker 1: pointed out, it takes a peculiar, a peculiar form of

1140
01:03:33,080 --> 01:03:35,560
Speaker 1: logic to cut pay steadily and then be shocked that

1141
01:03:35,640 --> 01:03:38,080
Speaker 1: fewer people want to do the job. But that's what

1142
01:03:38,160 --> 01:03:42,200
Speaker 1: happened in the truck driving industry. And also because of

1143
01:03:42,560 --> 01:03:48,360
Speaker 1: you know, slowdowns in manufacturing. There has been a slowdown

1144
01:03:48,520 --> 01:03:52,840
Speaker 1: in the production of fake Christmas trees. So these are

1145
01:03:52,880 --> 01:03:58,880
Speaker 1: all things that the real spirit of Christmas, and they don't.

1146
01:03:58,920 --> 01:04:01,720
Speaker 1: They don't. They're not stressed and talking about that ship though.

1147
01:04:02,280 --> 01:04:05,440
Speaker 1: I mean, I think for their sake, like the Fox

1148
01:04:05,520 --> 01:04:09,520
Speaker 1: News that you probably don't want to have all of

1149
01:04:09,560 --> 01:04:14,280
Speaker 1: your unlike most of your unvaccinated base take airplanes to

1150
01:04:14,440 --> 01:04:19,160
Speaker 1: congregate because that you know, they're already like getting freaked out,

1151
01:04:19,360 --> 01:04:22,520
Speaker 1: like by the demographics of how like the pandemic is

1152
01:04:22,520 --> 01:04:24,720
Speaker 1: affecting things. So what there's gonna be Like, No, man,

1153
01:04:24,800 --> 01:04:28,160
Speaker 1: get together, folks, don't worry about any kind of spiking cases.

1154
01:04:28,880 --> 01:04:32,680
Speaker 1: Just do your thing, y'all. I it's I don't know,

1155
01:04:32,840 --> 01:04:34,960
Speaker 1: this is just it's watched. It's it's fun watching them

1156
01:04:35,000 --> 01:04:41,440
Speaker 1: get so outraged and I mean, so were there things

1157
01:04:41,520 --> 01:04:45,640
Speaker 1: in place that like actually stopped people from congregating or

1158
01:04:45,720 --> 01:04:50,520
Speaker 1: was it just like advice last year, Like yeah, yeah,

1159
01:04:50,520 --> 01:04:55,320
Speaker 1: it's just that I like they I'm so confused what

1160
01:04:55,360 --> 01:04:59,760
Speaker 1: they like. At the height of the pandemic, they just

1161
01:05:00,120 --> 01:05:04,840
Speaker 1: for guidance. They're like, okay, big brother, nice try asshole.

1162
01:05:05,360 --> 01:05:09,480
Speaker 1: Oh you said it's it's and advisable to gather with

1163
01:05:09,560 --> 01:05:16,080
Speaker 1: elderly family and when there aren't vaccines, Okay, yeah, okay, yeah,

1164
01:05:16,120 --> 01:05:18,920
Speaker 1: I don't know, it's yeah, they were just merely guidelines.

1165
01:05:18,960 --> 01:05:20,840
Speaker 1: But I think most people because they were able to

1166
01:05:20,880 --> 01:05:23,400
Speaker 1: look around in their communities or just the news and

1167
01:05:23,440 --> 01:05:25,400
Speaker 1: be like, okay, so this is real and there's the

1168
01:05:25,400 --> 01:05:29,560
Speaker 1: potential for untold harm for people that I will I

1169
01:05:29,600 --> 01:05:32,880
Speaker 1: will heed these guidelines. Yeah, I mean jm Our writer

1170
01:05:33,360 --> 01:05:37,520
Speaker 1: Jam McNabb was pointing out that like this actually kind

1171
01:05:37,560 --> 01:05:42,439
Speaker 1: of obscures how, you know, focusing on the idea that

1172
01:05:42,480 --> 01:05:46,720
Speaker 1: he merely mentioned that he might at one point consider

1173
01:05:46,960 --> 01:05:51,640
Speaker 1: giving some travel advisories around Christmas, like so that caused

1174
01:05:51,680 --> 01:05:55,439
Speaker 1: him to backtrack, and he was Fauci was like, now

1175
01:05:55,640 --> 01:05:59,320
Speaker 1: you have misinterpreted me. I'll be spending Christmas with my

1176
01:05:59,440 --> 01:06:04,560
Speaker 1: family which is like, again, way too soon to tell

1177
01:06:04,560 --> 01:06:07,080
Speaker 1: whether that's a good idea where or not. The c

1178
01:06:07,240 --> 01:06:12,040
Speaker 1: d C uploaded their holiday guidance to their website, which

1179
01:06:12,080 --> 01:06:15,000
Speaker 1: was picked up by multiple news outlets, but then they

1180
01:06:15,040 --> 01:06:17,960
Speaker 1: deleted it because they had actually put up last year's

1181
01:06:18,200 --> 01:06:21,640
Speaker 1: holiday guidance instead of this year's and they haven't figured

1182
01:06:21,680 --> 01:06:23,800
Speaker 1: out what their guidance is going to be. In one

1183
01:06:24,160 --> 01:06:27,040
Speaker 1: fucking it's just a position for them to be in

1184
01:06:27,080 --> 01:06:30,960
Speaker 1: where they're like, fuck, don't say don't give them real advice,

1185
01:06:31,240 --> 01:06:33,400
Speaker 1: or else they're gonna accuse us of stuff. So let's

1186
01:06:33,440 --> 01:06:37,240
Speaker 1: water it the funk down, because the situation is just

1187
01:06:38,680 --> 01:06:42,080
Speaker 1: my uncle is a big Fox newsperson, and uh I

1188
01:06:42,120 --> 01:06:44,360
Speaker 1: gave him. I put like he's a bad guy, so

1189
01:06:44,440 --> 01:06:47,040
Speaker 1: I put coal in his stocking and then he pulled

1190
01:06:47,040 --> 01:06:48,919
Speaker 1: it out and he's like, this is such a great gift.

1191
01:06:48,920 --> 01:06:52,520
Speaker 1: This is my favorite fuel source. So don't give Fox

1192
01:06:52,600 --> 01:06:55,760
Speaker 1: News people calling their stockings because they'll they'll completely misinterpret

1193
01:06:55,840 --> 01:06:57,720
Speaker 1: it as a gift. Did he did he take a

1194
01:06:57,760 --> 01:06:59,240
Speaker 1: bite out of it too? He's like, Oh, you don't

1195
01:06:59,240 --> 01:07:05,160
Speaker 1: think I will. I don't think I will. Yeah. Over

1196
01:07:05,280 --> 01:07:12,800
Speaker 1: the course of the next three days, asshole, yeah, oh god,

1197
01:07:12,840 --> 01:07:18,840
Speaker 1: oh god, yea, but I mean the big news story

1198
01:07:18,840 --> 01:07:22,479
Speaker 1: of the day is really of yesterday. I guess that

1199
01:07:22,480 --> 01:07:26,320
Speaker 1: that the Zodiac killer has finally been identified according to

1200
01:07:26,440 --> 01:07:31,160
Speaker 1: TMZ and you know all the other main news sources,

1201
01:07:31,400 --> 01:07:36,680
Speaker 1: Fox News. So a group of researchers I did someone

1202
01:07:36,760 --> 01:07:42,160
Speaker 1: named Gary Francis Post, who died as the Zodiac Killer.

1203
01:07:42,760 --> 01:07:44,880
Speaker 1: The degree to wich this got pick up would have

1204
01:07:44,920 --> 01:07:47,440
Speaker 1: suggested it was like a law enforcement agency that had

1205
01:07:47,480 --> 01:07:51,160
Speaker 1: like done some some sort of d n A linkage um.

1206
01:07:51,760 --> 01:07:56,040
Speaker 1: But they so they're made This group has made up

1207
01:07:56,080 --> 01:08:00,240
Speaker 1: of former investigators and journalists, so essentially volunteer year is

1208
01:08:00,280 --> 01:08:04,360
Speaker 1: acting in no official capacity. They call the case Breakers, right,

1209
01:08:04,400 --> 01:08:07,720
Speaker 1: They're called the case Breakers, and they one of their

1210
01:08:07,840 --> 01:08:12,360
Speaker 1: like key theories is that Post also killed Sherry Joe

1211
01:08:12,400 --> 01:08:17,360
Speaker 1: Bates in Nix, whose death was followed by a Zodiac

1212
01:08:17,479 --> 01:08:23,320
Speaker 1: like letter. And this is strange because the police were

1213
01:08:23,360 --> 01:08:25,599
Speaker 1: sent to a Zodiac like letters, so it's not like

1214
01:08:26,439 --> 01:08:30,120
Speaker 1: nobody entertained this idea that it was that was from

1215
01:08:30,120 --> 01:08:32,920
Speaker 1: the Zodiac Killer and her murder was part of the

1216
01:08:33,000 --> 01:08:36,040
Speaker 1: Zodiac killings. But they looked into it and the letter

1217
01:08:36,200 --> 01:08:40,559
Speaker 1: was revealed to be a hoax and an actual cold

1218
01:08:40,560 --> 01:08:43,800
Speaker 1: case units have already like investigated that that case and

1219
01:08:43,880 --> 01:08:47,559
Speaker 1: concluded that the murder is not connected to the Zodiac case.

1220
01:08:48,000 --> 01:08:51,439
Speaker 1: So they're just like putting out a theory that most

1221
01:08:51,479 --> 01:08:55,679
Speaker 1: people believed to have been widely disproven and saying, well, here,

1222
01:08:55,760 --> 01:08:59,759
Speaker 1: here's your evidence. And then there's also like the evidence

1223
01:08:59,800 --> 01:09:03,760
Speaker 1: that they're pointing to our photos from posts dark room

1224
01:09:04,320 --> 01:09:08,000
Speaker 1: actually matched scars on the police sketch of the Zodiac killer,

1225
01:09:08,600 --> 01:09:13,400
Speaker 1: which it's just it's just creases in a forehead. Oh no,

1226
01:09:14,000 --> 01:09:17,920
Speaker 1: oh no, come on, case breakers, Yeah, come with some

1227
01:09:18,160 --> 01:09:21,400
Speaker 1: come on, come with than this. They also claim that

1228
01:09:21,439 --> 01:09:24,120
Speaker 1: they deciphered new code and the Zodiac letters that could

1229
01:09:24,120 --> 01:09:26,759
Speaker 1: only be cracked if you knew if you know Gary's

1230
01:09:26,800 --> 01:09:31,760
Speaker 1: full name. But there they're not revealing that just yet.

1231
01:09:32,240 --> 01:09:36,880
Speaker 1: They want to. They're being proprietary about their solution. The

1232
01:09:36,960 --> 01:09:41,280
Speaker 1: fucking cyber Ninja's my pillow voting audit like, what the

1233
01:09:41,320 --> 01:09:43,400
Speaker 1: fund is it? Oh we go, we got it. You

1234
01:09:43,479 --> 01:09:45,920
Speaker 1: can't show you. We just can't show nobody right now,

1235
01:09:46,080 --> 01:09:49,200
Speaker 1: it's too explosive. Tom Colbert, who is one of the

1236
01:09:49,200 --> 01:09:53,240
Speaker 1: main case breakers, former job was working for a hard

1237
01:09:53,280 --> 01:09:57,160
Speaker 1: copy So I mean he knows how to do a

1238
01:09:57,200 --> 01:10:01,200
Speaker 1: good tease hell people, you know. But he was also

1239
01:10:01,280 --> 01:10:04,240
Speaker 1: a story broker, which is somebody who like buys up

1240
01:10:04,880 --> 01:10:08,160
Speaker 1: compelling stories and like sells them to people to make movies.

1241
01:10:08,280 --> 01:10:11,360
Speaker 1: He sold the story rights for Flyaway Home and The

1242
01:10:11,479 --> 01:10:17,240
Speaker 1: vale Um. So so you know, like real hardcore, grizzled

1243
01:10:17,600 --> 01:10:25,240
Speaker 1: crime solving ship. Yeah and yeah, it just feels weird

1244
01:10:25,439 --> 01:10:28,680
Speaker 1: that this is one that any news outlet, even if

1245
01:10:28,720 --> 01:10:31,599
Speaker 1: it's just TDZ, has like seized on and been like solved.

1246
01:10:32,120 --> 01:10:35,200
Speaker 1: I the reason I just started wheezing and laughing is

1247
01:10:35,520 --> 01:10:38,040
Speaker 1: I'm falling along in your document that you guys used,

1248
01:10:38,040 --> 01:10:40,679
Speaker 1: oh sorry to show behind the scenes look at the show.

1249
01:10:40,720 --> 01:10:42,639
Speaker 1: This is all coming from the top of my head. Blake,

1250
01:10:43,520 --> 01:10:46,240
Speaker 1: You're right, and those scraps I keep by my desk

1251
01:10:46,800 --> 01:10:48,640
Speaker 1: is then this is the document that I the one

1252
01:10:49,640 --> 01:10:53,160
Speaker 1: page document that I made for the show, and the

1253
01:10:53,200 --> 01:10:55,840
Speaker 1: case Breaker Team had, which I can't believe I just

1254
01:10:55,880 --> 01:10:59,200
Speaker 1: said without laughing my way through it. But at case

1255
01:10:59,240 --> 01:11:02,040
Speaker 1: Breaker Team, UM, I'm like, oh, it's they's eight following

1256
01:11:02,040 --> 01:11:04,599
Speaker 1: two followers on Twitter. You have a screen grab of it,

1257
01:11:05,040 --> 01:11:06,880
Speaker 1: like this is probably taken from a few weeks and

1258
01:11:06,920 --> 01:11:09,920
Speaker 1: now they have fourteen followers, so yeah, we're in the

1259
01:11:10,000 --> 01:11:15,680
Speaker 1: same place. Yeah, it's trending. It's trending. So so basically

1260
01:11:15,720 --> 01:11:19,240
Speaker 1: they're saying that the the case breakers, the the evidence

1261
01:11:19,280 --> 01:11:21,760
Speaker 1: that they're working with has been debunked. So they're like,

1262
01:11:22,680 --> 01:11:25,160
Speaker 1: this is already built on like a false premise because

1263
01:11:25,200 --> 01:11:28,280
Speaker 1: you're already using debunked like you're trying to connect dots

1264
01:11:28,360 --> 01:11:31,599
Speaker 1: that really aren't there. Yeah, I mean unless you like,

1265
01:11:31,760 --> 01:11:35,800
Speaker 1: look at look at the those forehead wrinkles. Man, I'm

1266
01:11:35,840 --> 01:11:40,280
Speaker 1: just saying, like those are pretty well. They better come

1267
01:11:40,320 --> 01:11:42,880
Speaker 1: with that info that they say they they're ready to

1268
01:11:42,920 --> 01:11:45,439
Speaker 1: decipher all the letters because we would have to know

1269
01:11:45,479 --> 01:11:50,200
Speaker 1: his full name and only we do. I mean, Okay,

1270
01:11:50,520 --> 01:11:54,439
Speaker 1: how many people did the Zodiac Killer kill exactly? That's

1271
01:11:54,479 --> 01:11:59,880
Speaker 1: information that they have to prepare. You have to ask them. Yeah,

1272
01:12:00,000 --> 01:12:04,720
Speaker 1: they're holding back on they say, you'll never believe what

1273
01:12:04,760 --> 01:12:10,120
Speaker 1: we found out about how many five claim he claimed

1274
01:12:10,160 --> 01:12:14,759
Speaker 1: to have killed? Thirty seven five confirmed dead, but possibly

1275
01:12:14,800 --> 01:12:19,719
Speaker 1: twenty eight. Okay. Interesting. Just another example of their work

1276
01:12:19,840 --> 01:12:23,599
Speaker 1: on a famous story where people are, you know, very

1277
01:12:23,640 --> 01:12:28,479
Speaker 1: horny to identify a historical figure. Is Colbert got interested

1278
01:12:28,479 --> 01:12:34,519
Speaker 1: in the dB Cooper case. And yeah, so the dB

1279
01:12:34,640 --> 01:12:37,040
Speaker 1: Cooper was a bank robber who will hijacked a plane

1280
01:12:37,520 --> 01:12:42,160
Speaker 1: and then jumped out of said plane after like you know,

1281
01:12:42,720 --> 01:12:47,759
Speaker 1: making everybody turn around, I guess, or go into the cockpit. Anyways,

1282
01:12:47,880 --> 01:12:51,519
Speaker 1: is it's a people think that he probably didn't survive

1283
01:12:51,640 --> 01:12:54,280
Speaker 1: jumping out of the plane, but you know, it's very mysterious.

1284
01:12:54,280 --> 01:12:57,920
Speaker 1: They never found the body, and he thought he had

1285
01:12:57,960 --> 01:13:00,960
Speaker 1: figured out that it was this guy, Robert rack Straw,

1286
01:13:01,400 --> 01:13:05,880
Speaker 1: And so Colbert or Colbert approach. Rack Straw offered him

1287
01:13:05,920 --> 01:13:10,320
Speaker 1: twenty dollars to participate, and when he refused, Colbert threatened

1288
01:13:10,320 --> 01:13:14,480
Speaker 1: to have him hounded forever. And then he started catfishing

1289
01:13:14,600 --> 01:13:21,559
Speaker 1: rack Straw, who then in turn reverse catfished Colbert. And yeah,

1290
01:13:21,640 --> 01:13:25,920
Speaker 1: it just seems like real, real, top level you know, mature,

1291
01:13:26,320 --> 01:13:31,320
Speaker 1: mature and you know, top level investigative ship going on, right,

1292
01:13:31,439 --> 01:13:33,360
Speaker 1: someone who's clearly not just trying to get the thing

1293
01:13:33,479 --> 01:13:36,880
Speaker 1: over the line by any means necessary, true dedication to

1294
01:13:36,960 --> 01:13:41,000
Speaker 1: the truth, unflinching, you know, rather than like fuck your

1295
01:13:41,040 --> 01:13:43,880
Speaker 1: life up if you don't admit your dB Cooper, right.

1296
01:13:43,880 --> 01:13:49,960
Speaker 1: So this, Yeah, so that's that's the story of how

1297
01:13:50,000 --> 01:13:53,840
Speaker 1: the Zodiac Killer was salt was identified. Well, I'm glad

1298
01:13:53,880 --> 01:13:56,040
Speaker 1: to know that all the people who are talking about

1299
01:13:56,080 --> 01:13:59,759
Speaker 1: it now I can finally um, actually, every fucking tweet

1300
01:13:59,760 --> 01:14:03,160
Speaker 1: ice now. Yeah, And you know JM, who is clearly

1301
01:14:03,680 --> 01:14:06,880
Speaker 1: into this, into the story of the Zodiac killer, is

1302
01:14:06,920 --> 01:14:09,680
Speaker 1: saying like they're they could be right about who it is,

1303
01:14:09,800 --> 01:14:13,840
Speaker 1: but publishing articles like definitively claiming the Zodiac cass come

1304
01:14:13,880 --> 01:14:16,880
Speaker 1: to an end based on these people's work, it seems

1305
01:14:16,880 --> 01:14:21,160
Speaker 1: a little premature. Like I've read the story, the headlines then,

1306
01:14:21,240 --> 01:14:22,920
Speaker 1: like I I've looked at the article and they were

1307
01:14:22,920 --> 01:14:26,519
Speaker 1: talking about these case breakers like they were a known

1308
01:14:26,640 --> 01:14:29,840
Speaker 1: quantity that like I should be familiar with. And the

1309
01:14:29,880 --> 01:14:33,080
Speaker 1: fact that they have fourteen followers fifteen now but I'm

1310
01:14:33,080 --> 01:14:39,519
Speaker 1: following them is um wild. They do have their own logo,

1311
01:14:39,600 --> 01:14:43,479
Speaker 1: which is not nothing, right, Yeah, it's kind of huge. Yeah,

1312
01:14:44,280 --> 01:14:51,479
Speaker 1: it looks like Charles Barkley's like signature shoe logo. All right,

1313
01:14:51,800 --> 01:14:56,160
Speaker 1: that's gonna do it for this week's weekly Zeitgeist. Please

1314
01:14:56,280 --> 01:14:59,599
Speaker 1: like and review the show. If you like the show,

1315
01:15:00,280 --> 01:15:04,559
Speaker 1: h means the world of Miles. He needs your validation, folks.

1316
01:15:05,160 --> 01:15:08,240
Speaker 1: I hope you're having a great weekend and I will

1317
01:15:08,280 --> 01:15:54,400
Speaker 1: talk to you Monday by