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Speaker 1: Hello the Internet, and welcome to the Daily Zeitgeist for Friday,

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Speaker 1: October thirteenth, two thousand seventeen. Happy death Day, you guys. Uh.

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Speaker 1: I think that's the name of the movie that's coming

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Speaker 1: out today. Uh, spooky day. Uh. And my name's Jack O'Brien,

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Speaker 1: and I am happy to be joined as always by

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Speaker 1: my co host, Mr Miles Gray. Yes, I'm also named

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Speaker 1: Jack O'Brien, Jack O'Brian. Fun that up. Wait to start

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Speaker 1: this one, all right, And and we're thrilled to be

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Speaker 1: joined in our third seat by Lacey Moseley. Hey, um,

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Speaker 1: would you do your own? Do my own? I need

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Speaker 1: it every time. Let him know, Lazy, what's the weirdest

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Speaker 1: thing in your search history from the past week. The

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Speaker 1: weirdest thing in my search history from the past week

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Speaker 1: is rapper Dark Butts. Okay, and we don't want any

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Speaker 1: context from that. We're just gonna go right into your

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Speaker 1: overrated underrated Okay google rapper dark Butts and maybe you'll

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Speaker 1: understand me. Um, underrated I have Okay, this makes me

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Speaker 1: feel so bad to even say this, but I feel

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Speaker 1: like the cash me outside girl as a rapper bad

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Speaker 1: baby is underrated. Underrated. Yeah, I'm sorry. She's got some

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Speaker 1: fire songs. They're hitting like. I literally made everyone on

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Speaker 1: my team come out to that on here all night.

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Speaker 1: We play that on here all night. I'm not gonna lie.

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Speaker 1: I did use that in Instagram caption recently. But yo,

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Speaker 1: she's fucking problematic. I mean as fun. But you know

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Speaker 1: who is it these days? Wow? Hope you explain who

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Speaker 1: the cash me outside girl is? White audience, I do

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Speaker 1: not know her name in of life, it's Daniel Daniel, right, Daniel.

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Speaker 1: She appeared on Dr Phil where she got into a

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Speaker 1: very heated discussion with him over her lascivious activities as

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Speaker 1: a youth and told him that she needed to cash

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Speaker 1: him out. She could cash him outside. How about that? Yeah?

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Speaker 1: The audience members could cant her her outside, cash me outside?

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Speaker 1: How about that? Yes? Basically meaning come outside and we

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Speaker 1: can fight each other. Doctor Fell was like, now what

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Speaker 1: is she saying? Yeah, like the and my audiences hose

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Speaker 1: But yeah, and then she got signed to Atlantic, signed

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Speaker 1: a three sixty deal with Atlantic. Uh same, you know who?

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Speaker 1: They have a new model, which is to cash in

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Speaker 1: on like social media celebrities and turn them give them

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Speaker 1: music careers. But you know what I will say, maybe

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Speaker 1: she's underrated, but I am surprised that I thought it

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Speaker 1: would just be a total disaster. And the fact that

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Speaker 1: even the things are kind of even like reminiscent of

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Speaker 1: an actually good song. They sound pretty good, like some

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Speaker 1: of them aren't that bad. And you can tell her

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Speaker 1: mom dresses her in those music videos because they're like,

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Speaker 1: you're if you're gonna do this, you're gonna wear a

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Speaker 1: hood at sweater zipped all the way up and jeans.

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Speaker 1: I don't want to any thought he outfits. I mean,

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Speaker 1: at least they're trying. She's young as he and I

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Speaker 1: heard that she's also very extra, which like you know,

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Speaker 1: like a Mariah Carey fashion like um, one of the

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Speaker 1: firms that I've gone into, she was there and she

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Speaker 1: was getting carried around by a like a security guard.

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Speaker 1: What do you mean one of the firms or like

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Speaker 1: a social media firm. I was like in like doing

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Speaker 1: some work with them. I can't say who, but she

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Speaker 1: was also in the office and they were carrying her

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Speaker 1: like a baby around the office. That's amazing. It was

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Speaker 1: so I was so spectacle. Yes, give me. My dream

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Speaker 1: has always been to like being a professional sports league

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Speaker 1: get injured and then get carried out like a baby

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Speaker 1: by like your teammate. Wait and when you say, like literally,

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Speaker 1: like what was her demeanor? Like, She's like that's right, yeah,

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Speaker 1: like this is this is her bag? Like she was

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Speaker 1: acting like it was not bizarre that she was being

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Speaker 1: carried around this office place. It was fantastic right around

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Speaker 1: on my bodyguards back like Prince and m the club. Yeah.

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Speaker 1: Um Blackish. I feel like it's hella underrated. Um, it

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Speaker 1: is fantastic and it's really getting better on television. Um

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Speaker 1: fill that Cosby void. Oh that's a weird phrase. Just

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Speaker 1: you know that you can watch that and step um

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Speaker 1: Selena Gomez's best friend gave her a kidney And I

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Speaker 1: feel like this did not get enough press. Really I

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Speaker 1: did it. I mean I'm surprised I knew about it

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Speaker 1: before you because she's like what happened me? And I

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Speaker 1: was just like damn. It really made me think, like

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Speaker 1: are my best friends drinking enough water? Your friends like,

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Speaker 1: oh no, no, no, I would not do. We have

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Speaker 1: the same blood type. I'm gonna get my friends together

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Speaker 1: because I will be famous enough that I'm like, look, y'all,

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Speaker 1: who trying to tell me that Liver Alright, what's overrated?

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Speaker 1: Overrated is um uh TV reboots. I am so tired

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Speaker 1: of Hollywood just being so desperate not to become a

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Speaker 1: diverse place that they're just going to resurrect any old

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Speaker 1: television show from whenever, like Fuller House and Grace, which

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Speaker 1: actually killed in the ratings when it debuted Will and Grace,

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Speaker 1: it had like a three. I watched Fuller House, so

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Speaker 1: you know it don't come from my Fuller No thanks,

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Speaker 1: no thanks. It's so it's so bad. It's amazing. Play

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Speaker 1: have amazing scripts out here. I just like it's sucking

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Speaker 1: lazy to be digging up the grays with these old shows.

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Speaker 1: Like that's true. It is like all all these shows

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Speaker 1: are from a time when diversity was considered like having one,

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Speaker 1: but it still is. I love how people have masqueraded

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Speaker 1: like TV is just like black as funk and Latino

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Speaker 1: as hell and like Asians, because is like a couple

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Speaker 1: of Fuller House is diverse because Jimmy Gibbler has short

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Speaker 1: hair and and and she has a half Latin child.

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Speaker 1: Oh nice. So but even though the father that child

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Speaker 1: is mad problematic anyway. But that's a whole other I

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Speaker 1: mean what's gonna do? So it is from UH just

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Speaker 1: wanted to fill people in on it. So apparently this

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Speaker 1: day loses the American economy as much as nine hundred

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Speaker 1: million dollars every time it rolls around because people stay

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Speaker 1: home or don't go on vacations or this is one

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Speaker 1: of those statistics that first of all, it says as

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Speaker 1: much as in front of it, so you know, who knows, uh,

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Speaker 1: and as little as one dollar but who knows. But

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Speaker 1: it's also one of those things that UM like weig boards,

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Speaker 1: for instance, go back to I think, you know, maybe

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Speaker 1: fifty years ago when UH board game Company invented Quiji boards.

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Speaker 1: They're not like an ancient UH thing. And Friday thirteenth

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Speaker 1: similarly only goes back to nineteen o seven to a

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Speaker 1: novel uh where and it was like a financial thriller

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Speaker 1: UH that basically like told the story of a guy,

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Speaker 1: a businessman who plots to crash the stock market. And

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Speaker 1: that was like the first mention in history of Friday.

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Speaker 1: There's supposedly like all these myths about it going back

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Speaker 1: to the thirteenth century and UH when like a bunch

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Speaker 1: of knights Templar were arrested and tortured and nope goes

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Speaker 1: back to the early twentieth century to a financial thriller.

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Speaker 1: One of these things that I do believe in is

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Speaker 1: full moons. I do think like I've talked to too

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Speaker 1: many people who like work in institutions and uh, you know,

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Speaker 1: have worked in mental hospitals where they were just like, No,

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Speaker 1: it is definitely true that every full moon, like people

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Speaker 1: just go bunkers. Um mm hmm. They use that word

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Speaker 1: bunkers who work in mentally a scientific term, fucking bunkers.

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Speaker 1: All right, Miles, So our first story is sort of

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Speaker 1: a uh, it's not really defining the zeitgeist type thing,

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Speaker 1: and but away it demonstrates. Right, So let's see last

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Speaker 1: Friday on October six, a week ago, this man Michael

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Speaker 1: Stes went to like the Asheville Regional Airport and like

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Speaker 1: just around like like before one am. Dressed in all black.

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Speaker 1: He had a bag with him. They show him walk

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Speaker 1: in the airport with a bag, and then suddenly in

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Speaker 1: the footage he leaves the airport without a bag. So

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Speaker 1: cut to the alarms go off. People are being like

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Speaker 1: there's a suspicious package. They look inside low and behold,

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Speaker 1: there is an I E. Ed in there like he's

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Speaker 1: made a homemade bomb out of ammonia nitrate and with

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Speaker 1: like some shrapnel, uh and a timer for the bomb.

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Speaker 1: They go off like in the morning essentially. So this

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Speaker 1: man basically left a bomb at an airport. Uh. And

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Speaker 1: you know, guess guess what the coverage was like on

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Speaker 1: that first Well, Miles, I'd imagine it was all over

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Speaker 1: the news and just NonStop twenty four coverage on CNN

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Speaker 1: and Fox News. Fox loves terrorist attacks. They probably covered

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Speaker 1: it like round the class. No, no, no, barely any coverage. Oh,

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Speaker 1: but I left out of very important detail. Uh, the

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Speaker 1: suspect was actually white and a man, even though they

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Speaker 1: are our most dangerous type of person statistically in America.

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Speaker 1: They didn't cover it. Oh look at you, Jack with

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Speaker 1: the woke statistics. I like that, Thank you, thank you. Yes,

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Speaker 1: there was a white man, uh, a possible terrorist, although

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Speaker 1: Trump would never say that leaving a bomb at an airport.

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Speaker 1: And yeah, this was like a very underreported incident. I

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Speaker 1: mean it took it took other news outlets days for

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Speaker 1: like actual legitimate coverage for this to come out. Fox

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Speaker 1: News did report about it, but that was just when

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Speaker 1: it was a person of interest sought after device found

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Speaker 1: at airport kind of situation. But then once the suspect

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Speaker 1: was identified as this man, Michael Estes, there was not

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Speaker 1: even a hint of coverage on that website. So Fox

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Speaker 1: covered it like when it was just an anonymous bomb,

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Speaker 1: and then when they identified like okay, and this is

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Speaker 1: who we're looking for, they stopped covering it. Basically like

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Speaker 1: it was almost like, oh, there's a bomb the airport.

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Speaker 1: He would go, here we go, maybe it'll turn up

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Speaker 1: traditional terrorists. And then when it was like, oh, reveal

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Speaker 1: it's a white man, is like, I don't know about that,

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Speaker 1: And so it's sort of you know, god us thinking

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Speaker 1: obviously there we see a bias, especially in like on

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Speaker 1: conservative media about these things like that. But also, uh,

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Speaker 1: there was a there was a story about a black

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Speaker 1: man who made a threat to quote do another Vegas

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Speaker 1: because he felt cheated by a mobile app developer. Uh,

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Speaker 1: and that story blew up and what jack you you

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Speaker 1: you looked in it sort of like, yeah, I just

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Speaker 1: did a search of the guy's name who threatened to

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Speaker 1: do another Vegas. Uh at I'm gonna do another Vegas

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Speaker 1: at you uh to this mobile phone company. I think

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Speaker 1: he was in New York, the mobile phone company was

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Speaker 1: in uh Or, the app developer was in Colorado. And

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Speaker 1: when you search his name in quotes his full name, UH,

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Speaker 1: you get seventy thousand results. When you search Michael Estes

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Speaker 1: his name, you get thirty five thousand, So twice as

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Speaker 1: many results for a guy who threatened to do another

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Speaker 1: Vegas to a mobile phone company, but a white man

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Speaker 1: who leaves a legitimate bombing airport half that. So yeah,

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Speaker 1: so again it fits into this thing, you know, if

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Speaker 1: if it's not, if it doesn't fit the narrative Trump's

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Speaker 1: trying to push, which is, you know, Muslims are terrorists

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Speaker 1: and that's why we need to have a travel band

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Speaker 1: that's gonna get air. But if it doesn't, then you know,

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Speaker 1: like hill gloss over. Like for like, even when there

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Speaker 1: was that London bridge attack, he jumped on that to

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Speaker 1: just be like, you know, there's why we need like

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Speaker 1: tighter immigration control. And even the Philippines there was a

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Speaker 1: Casie shooting. He labeled that terrorism when it wasn't so.

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Speaker 1: And then when we look at people, are white people

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Speaker 1: actually being perpetrators of some kind of terrorism? Uh, you know,

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Speaker 1: things glossed over pretty quickly. Did you see that? Well

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Speaker 1: you probably already talked about the second protest that they

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Speaker 1: had where everyone looked like way more attractive. Yeah, yeah,

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Speaker 1: we talking about Edgar. Yeah, where Richard Spencer put on

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Speaker 1: his knife. You look trying to look like a boy

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Speaker 1: or a white supremacy movement. But it's interesting to me

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Speaker 1: because I always thought that white people had the privilege

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Speaker 1: of not being a monolith, and that you know, everyone

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Speaker 1: is a lone person and we all get lumped together

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Speaker 1: as minorities. Like if somebody shoots up one thing, we're like, god, damn,

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Speaker 1: well now we all shot it up. Like I remember

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Speaker 1: hoping that the DC snipers weren't black because I was like,

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Speaker 1: come on, don't do this, you know. Yeah, Chris Rock

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Speaker 1: had a bit like that in the early night, Like

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Speaker 1: if I read about like a serial killer, He's like,

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Speaker 1: I'm praying in the article it's not black because I

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Speaker 1: don't want to have to go into work tomorrow, and like, hey,

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Speaker 1: so did you know Jerome Literally, next thing I know,

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Speaker 1: the airport security gets a lot more real gut fingers.

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Speaker 1: So other narrative that seemingly that you know again that

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Speaker 1: Trump loves to push is the one that he is owning,

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Speaker 1: isis bombing the ship out of him there they have

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Speaker 1: nowhere to go, and he's you know, he's he's gonna

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Speaker 1: do away with Islamic terrorism once and for all, um

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Speaker 1: and also the America first thing, like we don't need

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Speaker 1: to be meddling in other people's business if it doesn't

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Speaker 1: have any consequence to the U S. Okay. So cut

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Speaker 1: to uh Niger on October four, Uh, there were there

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Speaker 1: was a group of U S troops who were working

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Speaker 1: in conjunction with some Nigerian soldiers uh in Niger, and

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Speaker 1: they were ambushed and four Green Berets were killed. Two

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Speaker 1: more soldiers were injured. Uh. And again this was like

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Speaker 1: a pretty significant event. There were lots of US soldiers lives,

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Speaker 1: which clearly you know has been has been touted as

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Speaker 1: one of the most important things, especially with the NFL protests,

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Speaker 1: that you know, our soldiers are very important to sacrifice

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Speaker 1: they give. There were no tweets about this from the

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Speaker 1: White House, no mention that these soldiers had lost their lives,

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Speaker 1: not even from Trump. He hasn't said a thing. There

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Speaker 1: hasn't been a statement out of the White House. And

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Speaker 1: again because it almost kind of looks like very early

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Speaker 1: similar to the sort of the same stakes as Benghazi,

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Speaker 1: where you have U S soldiers who are put at risk.

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Speaker 1: Apparently the military forces in Niger have asked for additional

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Speaker 1: resources because it is a very difficult place to operate

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Speaker 1: from a military standpoint, and they weren't getting that support,

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Speaker 1: and there was a lot of speculation that that may

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Speaker 1: have led to the greater loss of life life in

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Speaker 1: this instance. But yeah, again, you know, uh that this

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Speaker 1: happened on Wednesday of last week. You didn't hear anything

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Speaker 1: from Trump. He was too busy sending Mike Pence to

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Speaker 1: go do his you know, paid protests at the at

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Speaker 1: the Colts game. Uh you know Trump who who loved

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Speaker 1: the protest. Yeah, uh, then you have Trump couldn't be bothered.

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Speaker 1: He didn't even go to Dover Air Force Base to

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Speaker 1: to greet the coffins of these soldiers who came home,

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Speaker 1: you know, because you know, instead he want to play

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Speaker 1: golf with Lindsay Graham. So normally Obama had been dragged

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Speaker 1: for this kind of stuff. Hillary Clinton was dragged for

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Speaker 1: for the ship that's going on Benghazi and the lack

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Speaker 1: of outrage on the red I think just goes the

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Speaker 1: show that Benghazi has never about embassy security. Uh, and

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Speaker 1: just similar to the same thing of like how Javonka's

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Speaker 1: private email use it was never about that. It's all

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Speaker 1: just sort of whatever fits the narrative and scores political points. So,

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Speaker 1: you know, we'll see if Trump says anything about this.

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Speaker 1: It doesn't seem like he will because it doesn't fit

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Speaker 1: his I'm doing a great job. I'm owning the terrorists.

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Speaker 1: I'm you know, putt in America first. The troops are great.

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Speaker 1: It uh, it doesn't take any of those boxes. So yeah,

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Speaker 1: all right, we're gonna take a quick break and we'll

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Speaker 1: be right back. And we're back. So we wanted to

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Speaker 1: talk about the tech industry and sort of how it operates,

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Speaker 1: how it ties into um, you know, some of the

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Speaker 1: news stories you're seeing recently about Russia, because I guess

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Speaker 1: these companies are more powerful than I realized. Definitely more

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Speaker 1: powerful than the Hillary Clinton campaign realized. Because Facebook went

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Speaker 1: to both campaigns and was like, hey, we can help

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Speaker 1: you with targeted advertising, and the Trump campaign took him

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Speaker 1: up on that, and the Clinton campaign was like, nah,

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Speaker 1: we're good, uh, and that that was a pretty fateful decision.

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Speaker 1: The Trump campaign still credits Facebook with being like a

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Speaker 1: huge influencing factor and does not want that endorsement other thing,

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Speaker 1: but so as it relates to us as consumers. Um, Basically,

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Speaker 1: if you're not paying for something on the internet, then

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Speaker 1: you are the product. Um. Like back when it started

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Speaker 1: A O l uh and things like that made you pay.

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Speaker 1: There was like a service fee. I remember my mom

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Speaker 1: would she would pull that over my head if I

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Speaker 1: was on A O well too long, right, It was

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Speaker 1: like are you paying the A O L bill? And

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Speaker 1: then all of a sudden, these great benevolent companies like

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Speaker 1: Facebook and Google came along and we're like, hey, use

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Speaker 1: our products for free, guys. Um. The reason they're able

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Speaker 1: to do that is because they use all the in

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Speaker 1: depth information that they have on you to allow different

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Speaker 1: advertisers and different products to target you. In a way.

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Speaker 1: It actually eliminates the need for ad agencies in a

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Speaker 1: sense too, because they can deal with the company directly

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Speaker 1: rather than asking an ad agency like, hey, what's the

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Speaker 1: best way to talk to young millennials blah blah blah

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Speaker 1: who are affluent. Now they can like, you know, Coca

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Speaker 1: Cola can just be like yo, Google, I'm trying to

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Speaker 1: talk to these like an eighteen year old with a

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Speaker 1: million dollars, like, how do I do that? Uh? Their

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Speaker 1: companies and like a just vast infrastructure of tech companies

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Speaker 1: that are connecting data from one platform to the other.

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Speaker 1: So you have this giant network of information sort of

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Speaker 1: spider webbing all over the place that kind of forms

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Speaker 1: your profile on the web. And it's also a way

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Speaker 1: other types of companies are getting into it. It's a

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Speaker 1: way telecom UH companies are basically cashing in with they

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Speaker 1: have us declining subscriber base, but they're able to cash

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Speaker 1: in using data. Uh. The world's largest phone operators are

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Speaker 1: doing the same thing, like a T and T and Verizon.

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Speaker 1: They're basically tapping into the data that showers from us

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Speaker 1: at the time we're mobile surfing or texting or making

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Speaker 1: phone calls. So like basically, since most people don't have

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Speaker 1: landlines anymore, which is like a huge part of their

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Speaker 1: business and now just sort of buying their internet service,

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Speaker 1: they're like, Okay, let's turn that into a secondary product,

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Speaker 1: Like now we can sell all the data that we've

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Speaker 1: gathered from your brow Well cool. Yeah. Car companies are

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Speaker 1: also doing it, uh, just based on the fact that

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Speaker 1: they know where you are at all times. Yeah, you

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Speaker 1: might notice that every time you install any app on

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Speaker 1: your phone, uh, that they ask if they can use

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Speaker 1: your location. And obviously there some apps where that makes sense,

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Speaker 1: like Yelp when you're searching for various things around you,

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Speaker 1: but there are some that it doesn't make any sense.

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Speaker 1: And that's because they, you know, want access to that sweet,

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Speaker 1: sweet data. And with that, let's go to an ad

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Speaker 1: and right. But it's it's invisible. It's invisible marketing that

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Speaker 1: we're we're not really even that aware of. But um,

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Speaker 1: like with Facebook likes, uh, people like marketers and Facebook

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Speaker 1: in particular, can automatically and accurately predict a bunch of

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Speaker 1: really personal things about you, like sexual orientation, ethnicity, religious

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Speaker 1: and political views, personality, traits, intelligence, happiness, your use of

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Speaker 1: addictive substances, whether your parents are still together, your age,

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Speaker 1: when gender, off of just off of like the pages

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Speaker 1: that you like or like posts that you like, or

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Speaker 1: they just they build a profile. It's like, oh, well,

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Speaker 1: this guy likes j Dillah, like Hillary Clinton blah blah blah,

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Speaker 1: and then are they're building a profile like but it's

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Speaker 1: not the stuff necessarily that you're voluntarily like giving over,

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Speaker 1: like saying, okay, this is my profile. They're not just

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Speaker 1: working with that. They like if you like that Facebook

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Speaker 1: page or whatever based on those And even when you're

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Speaker 1: not on Facebook, if you go to a page that

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Speaker 1: has a Facebook like like button on it, that information

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Speaker 1: is going back to Facebook. Facebook knows fucking everything about you. Um,

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Speaker 1: it's really advanced too. I remember when I used to

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Speaker 1: see ads at first, and it would be like, Oh,

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Speaker 1: I was talking about something I wanted to buy, and

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Speaker 1: then that ad would pop up for what I wanted

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Speaker 1: to buy on this side. But now I feel like

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Speaker 1: it's getting just even more specific. It's like, are you

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Speaker 1: looking for like a thirty two year old black man

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Speaker 1: with a beard that'll text you back like, oh my god?

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Speaker 1: And I am, and I click on it and what

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Speaker 1: do I get? Quick? And quick? Quick? Books? Got me?

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Speaker 1: Got meick? He's only in books. Um. There was actually

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Speaker 1: a woman who was a sex worker who I think

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Speaker 1: pro Publica did a profile of because these anonymous clients

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Speaker 1: that she had like no online interaction with, no interaction

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Speaker 1: with other than her professional interactions with them started suddenly

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Speaker 1: popping off as like people you may know, uh, and

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Speaker 1: she was like what the funk man? Yeah, so there's

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Speaker 1: this huge depersonalized system that's emerged and kind of treats

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Speaker 1: bits of us and like, our information, our personality is

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Speaker 1: like little commodities, and our data is way more valuable

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Speaker 1: than just you know, the few dollars a month, right,

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Speaker 1: because it's basically the greatest focus group data you could

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Speaker 1: ever have. It's like you get all of your consumer

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Speaker 1: information from that, and yeah, we don't realize like that's

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Speaker 1: pretty much that's all in like the terms of use

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Speaker 1: of anything. When you're like agree to do it, it's

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Speaker 1: like and it's in there. Whenever people talk about that,

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Speaker 1: they're like, yeah, I just click the user agreement and

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Speaker 1: like whatever, I don't read it. And it's almost like

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Speaker 1: we're being self reproachful, like oh, like we're lazy, but

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Speaker 1: it's not her fault. The Amazon Kindle's terms of use

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Speaker 1: took nine hours to read. Somebody, right, took nine hours,

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Speaker 1: So they're specifically designed for you not to be able

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Speaker 1: to read them. Right. Um, So I know the same

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Speaker 1: thing happens to a lot of people when uh, you

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Speaker 1: can just search someone's name and you'll be on like

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Speaker 1: one of those like white pages websites where you can

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Speaker 1: find like old addresses and things like that, and people

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Speaker 1: like how did they get that? A lot of those

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Speaker 1: websites are getting them from places like Google and things,

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Speaker 1: because yeah, that that's that's another way your information is

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Speaker 1: just just out there, not even like you're consuming habits,

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Speaker 1: but just your personal information that they're even packaging and selling.

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Speaker 1: So I want to move on to Russia because, uh,

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Speaker 1: we know that Russia has been using Facebook to advertise.

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Speaker 1: They've been using all the different platforms that they can

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Speaker 1: uh to advertise to different people, to you know, promote

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Speaker 1: the behaviors they want promoted and suppress the behaviors they

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Speaker 1: don't want. I think there's specific instances of them suppressing

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Speaker 1: African American voter turnout, and you know, Facebook has copped

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Speaker 1: to that now. Although Mark Zuckerberg at first was like,

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Speaker 1: the idea that when we would have any effect on

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Speaker 1: people's behavior is ridiculous. Now continue to pay me billions

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Speaker 1: of dollars for advertising. So I want to just give

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Speaker 1: a brief story of how Russia fox with us. This

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Speaker 1: is Russia has been working with us and more than

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Speaker 1: I think most people realize. For a long time. An

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Speaker 1: example that I didn't realize was the Kennedy assassination and

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Speaker 1: conspiracy theories about the Kennedy assassination. I visited Dealy Plaza,

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Speaker 1: which is where the Kennedy assassination happened with my dad

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Speaker 1: when I was a kid, and uh, you know, they're

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Speaker 1: all these you know, booths and like little museum set

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Speaker 1: up around there, and you know, they have the conspiracy

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Speaker 1: theories there. And like one of the things I saw

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Speaker 1: was a note supposedly from the CIA to Lee Harvey Oswald,

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Speaker 1: like a week before the JFK assassination. Um. I was like, well,

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Speaker 1: that that doesn't look good for sak So I was

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Speaker 1: just like showing that there was interaction between the Magic Bully, right. Um,

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Speaker 1: that note was actually forged by the KGB. And even

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Speaker 1: even before the first book on the Kennedy assassination came out,

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Speaker 1: even before the Warm report came out, a KGB subsidized

427
00:25:21,080 --> 00:25:26,679
Speaker 1: publishing house released books such as Oswald Colin Assassin or

428
00:25:26,800 --> 00:25:31,959
Speaker 1: Fall Guy. Um. Yeah, and you know there was a

429
00:25:31,960 --> 00:25:36,000
Speaker 1: guy from the CIA who was working with KGB. Uh

430
00:25:36,000 --> 00:25:40,520
Speaker 1: and he was publishing a newsletter that included claims that

431
00:25:40,560 --> 00:25:44,800
Speaker 1: the CIA was behind the assassination. Uh. Yeah, they distributed

432
00:25:44,920 --> 00:25:48,200
Speaker 1: that forged letter between Oswald and the CIA that I

433
00:25:48,359 --> 00:25:51,040
Speaker 1: then saw twenty years later, and that like put the

434
00:25:51,080 --> 00:25:56,360
Speaker 1: seed in my mind, Like huh right, so that's Kremlin

435
00:25:56,400 --> 00:26:02,639
Speaker 1: from the sixties, right, And resumably they also built the

436
00:26:02,720 --> 00:26:08,440
Speaker 1: android we know as Oliver Stone. So other deep joke,

437
00:26:10,160 --> 00:26:13,199
Speaker 1: not familiar with a Stone or JFK movie? Wait in

438
00:26:13,240 --> 00:26:15,199
Speaker 1: that movie? Was he is that? Are they pushing that

439
00:26:15,240 --> 00:26:18,560
Speaker 1: myth in that movie? Uh? Well, they just like push

440
00:26:18,680 --> 00:26:23,880
Speaker 1: every myth in that movie, like something happened here, So

441
00:26:24,320 --> 00:26:26,760
Speaker 1: and we can get into what actually happened in the

442
00:26:26,840 --> 00:26:31,840
Speaker 1: JFK assassination another day. Uh, hot takes on that was

443
00:26:31,880 --> 00:26:37,200
Speaker 1: this secret service agent accidentally fired the But we'll get

444
00:26:37,240 --> 00:26:42,200
Speaker 1: to that another time. Uh. The KGB also distributed racist

445
00:26:42,320 --> 00:26:48,119
Speaker 1: pamphlets against quote black mongrels and falsely attributed them to

446
00:26:48,280 --> 00:26:52,040
Speaker 1: the Jewish Defense League. Uh. They sent letters to black

447
00:26:52,119 --> 00:26:57,320
Speaker 1: organizations with bogus details about how the Jewish Defense League

448
00:26:57,840 --> 00:27:02,639
Speaker 1: was like being by went against black people. Um. And

449
00:27:02,680 --> 00:27:07,600
Speaker 1: then in three there was a thing called Operation Infection

450
00:27:08,160 --> 00:27:13,359
Speaker 1: where uh the KGB planted a story uh supposedly and

451
00:27:13,400 --> 00:27:17,600
Speaker 1: they printed this in an Indian journal like a journal

452
00:27:18,280 --> 00:27:21,720
Speaker 1: UH in India, but it like started this rumor that

453
00:27:21,840 --> 00:27:25,920
Speaker 1: the AIDS virus was genetically engineered by the US government,

454
00:27:26,000 --> 00:27:33,760
Speaker 1: but that's still around now. Yeah, and Kane and the

455
00:27:33,840 --> 00:27:37,600
Speaker 1: Kanye Sell heard him say, do we have don't get

456
00:27:37,600 --> 00:27:39,680
Speaker 1: a job to day? Can I at least get a

457
00:27:39,760 --> 00:27:42,520
Speaker 1: raise in a minimum wage? And I know the government?

458
00:27:47,920 --> 00:27:52,720
Speaker 1: So that was a three KGB operation that comes down

459
00:27:52,760 --> 00:27:55,560
Speaker 1: to us. Like, so Kanye got got by the KGB.

460
00:27:55,640 --> 00:27:58,119
Speaker 1: Two we all did. Yeah, we still heard that. And

461
00:27:58,200 --> 00:28:00,760
Speaker 1: like whether you heard it and thought it was absurd,

462
00:28:01,560 --> 00:28:04,280
Speaker 1: you heard it and it's in your mind. Well, it's

463
00:28:04,320 --> 00:28:08,160
Speaker 1: interesting too about the thing with with during the civil

464
00:28:08,240 --> 00:28:10,920
Speaker 1: rights movement too, because the KGB, Like that's another rumor

465
00:28:10,960 --> 00:28:14,000
Speaker 1: is that they tried to de legitimize MLK by trying

466
00:28:14,000 --> 00:28:16,120
Speaker 1: to get people to say that he was taking government

467
00:28:16,119 --> 00:28:19,800
Speaker 1: money to to do this and de legitimize him. But

468
00:28:19,880 --> 00:28:21,800
Speaker 1: that's interesting because he was attacked by the FBI and

469
00:28:21,800 --> 00:28:24,760
Speaker 1: the KGB. So that's that's a two fer from that's

470
00:28:25,000 --> 00:28:29,320
Speaker 1: relevant history to then bring you up to the present

471
00:28:29,400 --> 00:28:35,280
Speaker 1: day where so putin former KGB agent UH is trying

472
00:28:35,359 --> 00:28:41,960
Speaker 1: to influence the American people and influence the American election

473
00:28:42,520 --> 00:28:48,400
Speaker 1: and he has access to this giant universe of information

474
00:28:48,640 --> 00:28:53,240
Speaker 1: that we give these companies access to, and yeah, I

475
00:28:53,280 --> 00:28:56,640
Speaker 1: don't know, it's not even like it's not the least

476
00:28:56,640 --> 00:28:59,080
Speaker 1: bit surprising to me that he was able to kind

477
00:28:59,120 --> 00:29:02,280
Speaker 1: of in fluence things and get and get things done. Yeah,

478
00:29:02,280 --> 00:29:05,800
Speaker 1: because I mean, again, these algorithms have become so sophisticated

479
00:29:06,120 --> 00:29:07,920
Speaker 1: that you can just plug and play all kinds of

480
00:29:07,960 --> 00:29:12,400
Speaker 1: things and just just instantly disseminate that information to like

481
00:29:12,480 --> 00:29:15,080
Speaker 1: a specific group, and knowing that you're getting the most

482
00:29:15,320 --> 00:29:19,000
Speaker 1: effective message to the audience that is the most receptive

483
00:29:19,040 --> 00:29:22,360
Speaker 1: to it, like even picking up on individual words like now,

484
00:29:22,400 --> 00:29:25,840
Speaker 1: people use the congratulations to try to boost their posts

485
00:29:26,240 --> 00:29:28,400
Speaker 1: because if you write congratulations in the comments under a

486
00:29:28,440 --> 00:29:30,800
Speaker 1: Facebook post, it automatically boost it for longer than the

487
00:29:30,840 --> 00:29:34,320
Speaker 1: other post because Facebook assumes it's like an announcement that

488
00:29:34,760 --> 00:29:37,200
Speaker 1: you want to see. So if you write, yeah, if

489
00:29:37,200 --> 00:29:39,880
Speaker 1: you write get on Facebook and write congratulations in a comment,

490
00:29:40,000 --> 00:29:43,480
Speaker 1: and it will turn orange and then it'll pose. So

491
00:29:43,520 --> 00:29:46,680
Speaker 1: it's like, hey, I'm doing my nineties DJ said at

492
00:29:46,680 --> 00:29:50,000
Speaker 1: the congratulations and you're like, man, I don't want to

493
00:29:50,000 --> 00:29:52,880
Speaker 1: see this ship. Thank you. Yeah. If you do that,

494
00:29:53,200 --> 00:29:55,360
Speaker 1: and people are using that to try to disseminate information

495
00:29:55,400 --> 00:29:58,760
Speaker 1: about registering for the Affordable Care Act. Since the government

496
00:29:58,760 --> 00:30:02,080
Speaker 1: slash so much of the funding for advertisements for that,

497
00:30:02,160 --> 00:30:05,040
Speaker 1: well that activists to help people get to enroll, we're

498
00:30:05,080 --> 00:30:08,960
Speaker 1: having to gain Facebook two by using congratulations hack, congratulations

499
00:30:09,000 --> 00:30:14,080
Speaker 1: you're fucked, get unfucked. Um. But yeah, so, I mean

500
00:30:14,880 --> 00:30:17,120
Speaker 1: a lot of the times this is being used by advertising.

501
00:30:17,560 --> 00:30:20,280
Speaker 1: There's a a piece in the New York Times today

502
00:30:20,280 --> 00:30:25,280
Speaker 1: about how Toyota just released like four different types of ads,

503
00:30:25,360 --> 00:30:31,600
Speaker 1: like racially targeted ads for the Toyota I forget which

504
00:30:31,600 --> 00:30:35,240
Speaker 1: card is the camera? The one of the black and

505
00:30:35,400 --> 00:30:39,560
Speaker 1: Asian ones both spoke to me. The Asian one what

506
00:30:39,760 --> 00:30:43,960
Speaker 1: portrayed a very bizarre father daughter relationship in which I

507
00:30:44,000 --> 00:30:46,520
Speaker 1: guess he showed affection by looking at her in the

508
00:30:46,520 --> 00:30:51,840
Speaker 1: rear view mirror. Okay, And the marketing team behind it,

509
00:30:51,880 --> 00:30:54,160
Speaker 1: I think was quoted in the piece being like, yes,

510
00:30:54,200 --> 00:30:57,480
Speaker 1: we know that Asian fathers do not show affection, so

511
00:30:57,800 --> 00:31:01,080
Speaker 1: we were trying to like break down some doors. But anyways,

512
00:31:01,240 --> 00:31:06,160
Speaker 1: it's like these are things that advertisers have been working

513
00:31:06,200 --> 00:31:09,280
Speaker 1: on and you know, using for years, and they're going

514
00:31:09,360 --> 00:31:14,400
Speaker 1: to continue to use and brag about using and the

515
00:31:14,840 --> 00:31:21,040
Speaker 1: connecting of that enormous apparatus and like crazy amount of

516
00:31:21,120 --> 00:31:25,360
Speaker 1: value that that brings to advertisers. Connecting that to government

517
00:31:26,080 --> 00:31:30,600
Speaker 1: influences is pretty it's going to be pretty powerful and

518
00:31:30,880 --> 00:31:33,600
Speaker 1: it could be pretty terrifying. Well yeah, it's I mean,

519
00:31:33,680 --> 00:31:37,480
Speaker 1: it's something that's used to market. Like you know, marketing

520
00:31:37,520 --> 00:31:39,600
Speaker 1: is all about catching people at the right time, at

521
00:31:39,640 --> 00:31:41,720
Speaker 1: the right place, in the right mental state to make them,

522
00:31:41,760 --> 00:31:43,640
Speaker 1: you know, buy your thing that can be used for

523
00:31:43,640 --> 00:31:47,680
Speaker 1: such dark, evil shit. And even like on YouTube, I know,

524
00:31:47,760 --> 00:31:50,880
Speaker 1: like with ads too, they can like almost target emotions

525
00:31:51,040 --> 00:31:53,320
Speaker 1: as well. So it's like, oh, like you want to

526
00:31:53,360 --> 00:31:55,000
Speaker 1: you want to put your YouTube video up when someone's

527
00:31:55,000 --> 00:31:58,080
Speaker 1: feeling good or happy or excited or like thrilled about

528
00:31:58,080 --> 00:31:59,800
Speaker 1: a video like these are these are group of videos

529
00:31:59,840 --> 00:32:02,920
Speaker 1: that for that someone who is like maybe uh maybe

530
00:32:02,960 --> 00:32:05,520
Speaker 1: not feeling good about the way they look or maybe

531
00:32:05,520 --> 00:32:09,760
Speaker 1: feeling sad. They even have ways to begin targeting emotions too,

532
00:32:09,920 --> 00:32:12,160
Speaker 1: in front of the videos or after the videos you're watching.

533
00:32:12,600 --> 00:32:15,920
Speaker 1: So and these are just age old tactics that have

534
00:32:15,800 --> 00:32:19,600
Speaker 1: I have a marketing degree, and I have a marketing degree. Guys,

535
00:32:19,960 --> 00:32:23,160
Speaker 1: um little known fact, no, but that's always been something

536
00:32:23,200 --> 00:32:25,320
Speaker 1: that we would study in school. Is basically like, um,

537
00:32:25,360 --> 00:32:28,200
Speaker 1: if you are up at a certain hour, like late night,

538
00:32:28,240 --> 00:32:30,880
Speaker 1: television is targeted to people who seem to be uh,

539
00:32:30,920 --> 00:32:32,960
Speaker 1: they drink heavier, they tend to be depressed, they tend

540
00:32:32,960 --> 00:32:35,840
Speaker 1: to also be overweight, so you'll see like those commercials

541
00:32:35,880 --> 00:32:38,840
Speaker 1: target those specific aspects of that personality. So all it

542
00:32:38,960 --> 00:32:42,120
Speaker 1: is is now those at those same marketing strategies are

543
00:32:42,120 --> 00:32:44,760
Speaker 1: bleeding over into social media. The problem is that social

544
00:32:44,760 --> 00:32:47,200
Speaker 1: media has bled so deeply into our personal lives that

545
00:32:47,240 --> 00:32:49,400
Speaker 1: it's not like television or we turn it on and off.

546
00:32:49,400 --> 00:32:53,280
Speaker 1: It's like everywhere every minute. So that just makes it

547
00:32:53,360 --> 00:32:57,480
Speaker 1: that much more invasive. Yeah, it's increasingly important to think

548
00:32:57,480 --> 00:33:02,040
Speaker 1: about your attention as a fine resource. And I mean

549
00:33:02,520 --> 00:33:08,400
Speaker 1: we're giving away something that has you know, actual tangible value.

550
00:33:08,680 --> 00:33:12,080
Speaker 1: Uh you know value in our lives obviously, but uh,

551
00:33:12,160 --> 00:33:17,840
Speaker 1: you know value to these companies and uh then it's

552
00:33:17,880 --> 00:33:22,960
Speaker 1: being sold to hostile foreign powers. When Facebook acts like

553
00:33:23,160 --> 00:33:27,280
Speaker 1: it's crazy that anybody would think that they've had an

554
00:33:27,320 --> 00:33:31,600
Speaker 1: influence on the election, Like, realize how much of your

555
00:33:31,920 --> 00:33:36,280
Speaker 1: attention is being spent on Facebook? Is being like and

556
00:33:36,320 --> 00:33:39,120
Speaker 1: for free at least that stores when they give you

557
00:33:39,160 --> 00:33:42,160
Speaker 1: those little value cards, like you get like an incentive,

558
00:33:42,200 --> 00:33:44,160
Speaker 1: like a discount when you swipe it, and they get

559
00:33:44,160 --> 00:33:47,360
Speaker 1: information about your purchases. But Facebook, no, well, and it

560
00:33:47,440 --> 00:33:49,400
Speaker 1: just shows you just to show you how entrenched people, like,

561
00:33:49,440 --> 00:33:52,160
Speaker 1: how Facebook is so important to people's lives. People were

562
00:33:52,200 --> 00:33:56,240
Speaker 1: calling nine one one when Facebook went down the other day. Right,

563
00:33:56,880 --> 00:34:00,400
Speaker 1: will I will say that Facebook does also like there's

564
00:34:00,440 --> 00:34:04,760
Speaker 1: a reason people, uh you know, are all flocking to Facebook.

565
00:34:04,840 --> 00:34:08,000
Speaker 1: It also provides a service to people. Absolutely, No, absolutely,

566
00:34:08,000 --> 00:34:09,839
Speaker 1: But I think that's where that fine line is, where

567
00:34:10,160 --> 00:34:12,480
Speaker 1: like it allows us to connect to each other, and

568
00:34:12,520 --> 00:34:14,720
Speaker 1: it is a way to communicate outside of the traditional

569
00:34:14,760 --> 00:34:16,560
Speaker 1: ways of using phones and things like that. But yeah,

570
00:34:16,920 --> 00:34:19,200
Speaker 1: it's it's a it's a very sharp, double edged sword,

571
00:34:19,400 --> 00:34:22,040
Speaker 1: and I think we have to head to a break. Obviously,

572
00:34:22,080 --> 00:34:26,000
Speaker 1: there are a bunch of big questions like how do

573
00:34:26,040 --> 00:34:31,400
Speaker 1: you police this big of assistant. Uh, you know, should

574
00:34:31,400 --> 00:34:35,719
Speaker 1: the government get involved? Will they end up breaking up

575
00:34:35,800 --> 00:34:40,719
Speaker 1: these giant companies? Uh that like they did the monopolies

576
00:34:40,760 --> 00:34:44,799
Speaker 1: in the early twentieth century. Um, those are all interesting

577
00:34:44,920 --> 00:34:48,560
Speaker 1: questions that will dive into at a later date. But

578
00:34:48,800 --> 00:34:52,080
Speaker 1: for right, now let's hear a couple words from our

579
00:34:52,120 --> 00:35:05,160
Speaker 1: sponsors and we're back, all right, you guys. So briefly

580
00:35:05,320 --> 00:35:12,719
Speaker 1: yesterday we mentioned, uh the stunning lack of empathy required

581
00:35:13,160 --> 00:35:17,640
Speaker 1: uh for you to uh claim that you only feel

582
00:35:17,640 --> 00:35:22,560
Speaker 1: sorry for sexual abuse victims because you have a daughter. Uh.

583
00:35:22,600 --> 00:35:26,840
Speaker 1: And two of the people who have used this gambit

584
00:35:27,400 --> 00:35:33,080
Speaker 1: are writing partners and scared to admit it soulmates. Uh

585
00:35:33,400 --> 00:35:37,160
Speaker 1: Matt Damon and Ben Affleck have both have both used it. Uh.

586
00:35:37,440 --> 00:35:41,560
Speaker 1: Matt Damon's was really weird. Actually he said, Look, even

587
00:35:41,600 --> 00:35:45,080
Speaker 1: before I was famous, I didn't abide this kind of behavior,

588
00:35:45,640 --> 00:35:51,880
Speaker 1: which is so strange. Like so like is he saying that,

589
00:35:51,960 --> 00:35:56,080
Speaker 1: like most not famous people are fine with sexual assault,

590
00:35:56,239 --> 00:36:00,120
Speaker 1: and but he wasn't. I think he's saying that before

591
00:36:00,160 --> 00:36:03,000
Speaker 1: it was so easy to get away with sexual assault,

592
00:36:03,160 --> 00:36:05,359
Speaker 1: he wasn't even attempting it back in the days when

593
00:36:05,360 --> 00:36:07,960
Speaker 1: he was annoying me let alone, when now he's famous

594
00:36:07,960 --> 00:36:11,000
Speaker 1: and he could probably just silence people. Even before I

595
00:36:11,040 --> 00:36:16,040
Speaker 1: was a star, I didn't like rape. But now, as

596
00:36:16,080 --> 00:36:19,440
Speaker 1: a father of four daughters, kind of sexual predation that

597
00:36:19,600 --> 00:36:22,759
Speaker 1: keeps me up at night. Um. So, so he's saying

598
00:36:22,800 --> 00:36:27,280
Speaker 1: that before he was famous. He was that he didn't

599
00:36:27,320 --> 00:36:32,160
Speaker 1: so to say that, wait, once you become famous, then

600
00:36:32,200 --> 00:36:36,000
Speaker 1: you gotta get with the game and be like it's okay,

601
00:36:36,040 --> 00:36:40,840
Speaker 1: it doesn't. Very confused. It raises more questions even before us. Anyways,

602
00:36:41,400 --> 00:36:44,399
Speaker 1: Lazy you pointed out that Matt Damon has kind of

603
00:36:44,800 --> 00:36:48,560
Speaker 1: been problematic for a while, Oh for sure, And that's

604
00:36:48,560 --> 00:36:51,239
Speaker 1: why I wasn't surprised when these comments came out. And

605
00:36:51,480 --> 00:36:53,759
Speaker 1: as I'm sure many people who are woke to Matt

606
00:36:53,840 --> 00:36:57,720
Speaker 1: Damon being dead because he's not sleep he's dead. Um.

607
00:36:58,600 --> 00:37:00,920
Speaker 1: He made some very problem at it comments when he

608
00:37:00,960 --> 00:37:03,000
Speaker 1: was doing Project green Light with HBO where he was

609
00:37:03,080 --> 00:37:05,040
Speaker 1: literally shutting down a black woman while she was trying

610
00:37:05,080 --> 00:37:07,759
Speaker 1: to talk to and to basically make the statement that

611
00:37:07,800 --> 00:37:10,239
Speaker 1: diversity only matters in front of the camera, and where

612
00:37:10,280 --> 00:37:12,719
Speaker 1: she was concerned that a person of color should be

613
00:37:12,719 --> 00:37:15,440
Speaker 1: directing a movie where a woman of color would have

614
00:37:15,480 --> 00:37:17,680
Speaker 1: been a prostitute and beat up by a white man

615
00:37:17,760 --> 00:37:19,319
Speaker 1: as a pimp. Just trying to make sure that the

616
00:37:19,400 --> 00:37:22,879
Speaker 1: narrative didn't get problematic. He was saying that it did

617
00:37:22,880 --> 00:37:26,720
Speaker 1: not matter who the director was, insinuating the director should

618
00:37:26,719 --> 00:37:30,879
Speaker 1: be white because that doesn't matter. It should be based

619
00:37:30,920 --> 00:37:34,880
Speaker 1: off merit or which is another problematic thing that racists

620
00:37:34,880 --> 00:37:36,479
Speaker 1: like to throw in there, like when they talk about

621
00:37:36,480 --> 00:37:38,239
Speaker 1: it from inaction and things like that, or even like

622
00:37:38,280 --> 00:37:40,359
Speaker 1: casting women's like, well we would cast women, but you're

623
00:37:40,400 --> 00:37:45,120
Speaker 1: not going to be funnier, so you better right, Yeah,

624
00:37:45,280 --> 00:37:49,759
Speaker 1: so it's just he's not. He gets real exasperated and ship. Yeah,

625
00:37:49,880 --> 00:37:53,120
Speaker 1: the whole scene is super cringey. You should YouTube bad anybody.

626
00:37:53,160 --> 00:37:55,600
Speaker 1: Just do Matt damon green Light Project green Light diversity,

627
00:37:55,640 --> 00:37:57,960
Speaker 1: because it all of a sudden, all the other like

628
00:37:58,480 --> 00:38:00,919
Speaker 1: I guess what are they technically the judges of the show,

629
00:38:00,920 --> 00:38:03,719
Speaker 1: who are also the other producers, they all like lock

630
00:38:03,840 --> 00:38:05,200
Speaker 1: arms and they're like, well no, no, no no, no, no, no,

631
00:38:05,360 --> 00:38:09,080
Speaker 1: hey hey hey where no ignorance ship going on here? Now,

632
00:38:09,200 --> 00:38:13,120
Speaker 1: we're just saying, you know, the best director should get

633
00:38:13,120 --> 00:38:16,200
Speaker 1: the part, we can get the job. Lazy, You're you're

634
00:38:16,239 --> 00:38:22,120
Speaker 1: pointing out earlier that insecure like because it's actually made

635
00:38:22,600 --> 00:38:26,160
Speaker 1: by black people and with black people in front of

636
00:38:26,160 --> 00:38:30,080
Speaker 1: the camera, that like it created all all these like

637
00:38:30,280 --> 00:38:35,160
Speaker 1: new ideas that like hadn't been made before. Because yeah, absolutely,

638
00:38:35,200 --> 00:38:37,760
Speaker 1: I mean in terms of filmmaking too, I think people

639
00:38:37,800 --> 00:38:43,560
Speaker 1: forget that diversity and racial inclusion spans so deep to

640
00:38:43,600 --> 00:38:45,960
Speaker 1: the point where Kodak for a very long period of

641
00:38:46,000 --> 00:38:50,160
Speaker 1: time up until probably recent years, did not have stock

642
00:38:50,400 --> 00:38:53,600
Speaker 1: um light photo like light swatches for people of color.

643
00:38:53,719 --> 00:38:57,560
Speaker 1: So basically like there UM when you're filming things that

644
00:38:57,600 --> 00:38:59,680
Speaker 1: would be like swatches like go bos or things that

645
00:38:59,719 --> 00:39:02,960
Speaker 1: go over the camera that changed the lighting to the lighting,

646
00:39:03,239 --> 00:39:05,239
Speaker 1: and they'll have those with an example of like a

647
00:39:05,280 --> 00:39:07,839
Speaker 1: white person of every shade so that you could see

648
00:39:07,880 --> 00:39:09,520
Speaker 1: what that white person would look like, but there were

649
00:39:09,600 --> 00:39:12,280
Speaker 1: no black people. So the Mic actually did an article

650
00:39:12,320 --> 00:39:15,480
Speaker 1: about how the lighting on Insecure is revolutionary because before

651
00:39:15,560 --> 00:39:19,600
Speaker 1: that UM most program was programming wasn't catering to dark

652
00:39:19,680 --> 00:39:23,000
Speaker 1: skin UM when they were lighting it at all. UM

653
00:39:23,040 --> 00:39:25,120
Speaker 1: so that black people never kind of look right in

654
00:39:25,200 --> 00:39:27,680
Speaker 1: anything because they adjust to white people. What's funny that

655
00:39:27,920 --> 00:39:31,040
Speaker 1: my dad, who was a photographer, he would always say

656
00:39:31,080 --> 00:39:33,000
Speaker 1: like whenever you know, so he shot a lot of

657
00:39:33,120 --> 00:39:37,040
Speaker 1: like like black artist, comedians, actors for for magazines and

658
00:39:37,040 --> 00:39:39,000
Speaker 1: things like that, and he was always critical when he

659
00:39:39,000 --> 00:39:41,320
Speaker 1: would see photography of black people because there are a

660
00:39:41,360 --> 00:39:43,759
Speaker 1: lot many white photographers just did not know how to

661
00:39:43,920 --> 00:39:46,280
Speaker 1: light for a black subject in front of the camera.

662
00:39:46,400 --> 00:39:48,959
Speaker 1: That's crazy, and that's interesting to know that might that's

663
00:39:49,040 --> 00:39:53,160
Speaker 1: almost maybe innately built out of Kodak not even like

664
00:39:53,239 --> 00:39:56,040
Speaker 1: creating these sort of products to help people understand like, Okay,

665
00:39:56,040 --> 00:39:57,840
Speaker 1: what do you do in the subject in front of

666
00:39:57,880 --> 00:40:00,600
Speaker 1: your camera has a skin tone that would absorb more

667
00:40:00,680 --> 00:40:03,280
Speaker 1: like than it would reflect light, and how you actually

668
00:40:03,360 --> 00:40:05,040
Speaker 1: adjust for this? So and I do want to just

669
00:40:05,080 --> 00:40:07,800
Speaker 1: correct myself before we move too far. Shirley cards is

670
00:40:07,880 --> 00:40:11,680
Speaker 1: what kodaks Uh the frame that I was talking about,

671
00:40:11,760 --> 00:40:14,520
Speaker 1: what they referenced to use for lighting. They're called Shirley

672
00:40:14,560 --> 00:40:16,719
Speaker 1: carts because someone who's into film will know that and

673
00:40:16,800 --> 00:40:23,160
Speaker 1: drag me. Surely you can't be cards. Uh good good

674
00:40:23,160 --> 00:40:27,520
Speaker 1: airplane reference? Thank you? Um, and I think that's all

675
00:40:27,520 --> 00:40:30,920
Speaker 1: the time we have. You got lazy. Thank you so

676
00:40:31,000 --> 00:40:33,480
Speaker 1: much for joining us. This was so fun. Where can

677
00:40:33,520 --> 00:40:36,880
Speaker 1: people find you? Follow you? Oh, you can follow me

678
00:40:36,920 --> 00:40:40,120
Speaker 1: at Diva Lacey on Instagram it's Lacy with an eye,

679
00:40:40,800 --> 00:40:42,880
Speaker 1: um just an I know e r y And then

680
00:40:42,920 --> 00:40:44,319
Speaker 1: you can also see me on Harold Light if you're

681
00:40:44,320 --> 00:40:46,400
Speaker 1: in l A. I'm at the UCD theater every week.

682
00:40:46,880 --> 00:40:52,120
Speaker 1: What's your Harold group? Leroy also with yeah our first

683
00:40:52,160 --> 00:40:56,359
Speaker 1: guests and our last guest of this season one. Where

684
00:40:56,600 --> 00:40:59,880
Speaker 1: we're this is that finale of season one will be

685
00:40:59,920 --> 00:41:02,640
Speaker 1: the Act with season two on Monday. Uh. We we

686
00:41:02,719 --> 00:41:07,360
Speaker 1: only take off a weekend for two seasons. Yeah, so

687
00:41:07,440 --> 00:41:11,840
Speaker 1: season two coming Monday. Um, Miles, where can people find you?

688
00:41:11,840 --> 00:41:14,760
Speaker 1: You can find me at Big five Sporting Goods um

689
00:41:14,760 --> 00:41:17,840
Speaker 1: taking back a faulty sleeping bag, trying to get my

690
00:41:17,880 --> 00:41:22,280
Speaker 1: money back, and you can follow me at Jack Underscore

691
00:41:22,280 --> 00:41:26,239
Speaker 1: O'Brien on Twitter. You can follow the Daily Zeitgeist at

692
00:41:26,440 --> 00:41:30,879
Speaker 1: Daily Zeitgeist on Twitter at the Daily Zeitgeist on Instagram.

693
00:41:31,840 --> 00:41:36,080
Speaker 1: We are working on bringing those footnotes to you folks.

694
00:41:36,920 --> 00:41:40,360
Speaker 1: We will get those going hopefully next week and season

695
00:41:40,480 --> 00:41:45,560
Speaker 1: two season two. Uh. And that'll do it for Week

696
00:41:45,640 --> 00:41:49,120
Speaker 1: one of the Daily Zeitgeist over and out. Well, what's

697
00:41:49,160 --> 00:41:52,000
Speaker 1: your uh? Sign off line? Miles? I got a new

698
00:41:52,040 --> 00:42:10,400
Speaker 1: one Late trix. Nice sp