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Speaker 1: Hello the Internet, and welcome to season forty three, Episode

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Speaker 1: five of Daily eight Guys for Friday, August tenth, two

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Speaker 1: thousand eight. Team, my name is Karak O'Brien aka. You

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Speaker 1: know most people think it's Ian, but Steve Sanders from

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Speaker 1: nine O two and oh was actually played by O'Brien's

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Speaker 1: earring uh. And I'm thrilled to be joined dads always

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Speaker 1: by my co host Mr Miles and yes, Myles will

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Speaker 1: be president on the first day of school and graduate gration.

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Speaker 1: I'm sorry Ms Jackson, Brian for real, and I just

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Speaker 1: flipped that on my own. Actually that's part Chapman Rice

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Speaker 1: on that one, and then part of me just finishing

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Speaker 1: it out. So you know, Chapman, I hope you doing well.

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Speaker 1: Miss the gas uh and shout out to Andre for

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Speaker 1: that one. And we are thrilled to speech one in

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Speaker 1: our third seat by a brilliant writer and filmmaker whose

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Speaker 1: work you might know from such places as The MoMA.

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Speaker 1: She's also the co host of the hilarious and super

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Speaker 1: enlightening podcast Ethnically Ambiguous. We are real to be joined

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Speaker 1: by Sharine Unite. Hi Shoo Shoo, shoo shoo. Train Hi. Hi,

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Speaker 1: It's lovely to have you, Charine. You think we're gonna

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Speaker 1: get to know you a little bit better. First, we're

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Speaker 1: gonna tell our listeners what's they're in the store for. Uh.

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Speaker 1: We're gonna talk about the fact that Idris Elba might

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Speaker 1: be the next James Bond, how people are reacting to

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Speaker 1: that news. We're going to check in with Kanye's check

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Speaker 1: him with Jimmy Kimmel on Kimmel last Night. We're gonna

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Speaker 1: talk a little bit about the Middle East and the

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Speaker 1: conflict between Saudi Arabia and Canada and just kind of

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Speaker 1: lay out all the different sides out there. We're gonna

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Speaker 1: talk about who actually are Trump voters, Guys, who the

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Speaker 1: fuck are these people? Uh, and how that ties into

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Speaker 1: the upcoming mid terms. We are going to talk about

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Speaker 1: Laura Ingram unfortunately. We're gonna talk about Kylie Jenner's twenty

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Speaker 1: one check in with mcaulay Culkin because he generated the

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Speaker 1: most upsetting work of toxic masculinity of the day, I guess, uh.

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Speaker 1: And we're going to do a Bloyd watch. But first, Sharine,

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

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Speaker 1: your search history that's revealing about who you are? Okay.

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Speaker 1: My last search is American Movie reel is American Movie real? Now?

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Speaker 1: That is the documentary American Movie, which is amazing. It's amazing,

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Speaker 1: And I thought it was a satire, like like, I

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Speaker 1: did not realize it was a real documentary with that

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Speaker 1: real man this whole time until someone told me and

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Speaker 1: my mind was blown. And if he has you guys

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Speaker 1: haven't watched American Movie. Go watched American Movie. And I'm

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Speaker 1: sorry that I already ruined it for you and told

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Speaker 1: you that it's real, because I think it's fun watching

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Speaker 1: it thinking that this guy is in on it. But

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Speaker 1: now I have to rewatch it again. Yeah, it's absurd.

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Speaker 1: It's real, right, it's real. It's the way I remind

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Speaker 1: me is one about the dude making a movie and

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Speaker 1: like rural Wisconsin, and he just like he has a

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Speaker 1: vision for this film. It's a horror film. But he

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Speaker 1: is just he's absurd, absurd, like one of the great

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Speaker 1: characters in the history of film, nonfictional. I thought he

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Speaker 1: was a character, but really he's just a real character.

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Speaker 1: I know he is a real character. Old people say,

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Speaker 1: But yeah, that was my latest Google search. Did you

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Speaker 1: just see that movie? No, I've seen it ages ago,

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Speaker 1: but I was. I brought it up with a friend

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Speaker 1: and they mentioned that it's like a real documentary and

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Speaker 1: I was like, no, it's not. You're like that, that's

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Speaker 1: just amazing mockumentary. Yeah, I said mockumentary and I was like, oh,

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Speaker 1: I'm a dumbass, and I yeah, it is one of

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Speaker 1: the funniest to a whole. Another amazing documentary like that

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Speaker 1: is Mule Skin or Blues that is about this Florida

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Speaker 1: trailer park that has the same thing, Like they're kind

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Speaker 1: of look at the different members in the trailer park.

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Speaker 1: One guy is like a filmmaker, but then there's like

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Speaker 1: a guy who's a musician is really good, and everyone's

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Speaker 1: stories out there out there. Yeah, And it's one of

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Speaker 1: those things where when you watch it, it puts you

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Speaker 1: in that series like is this the real life or

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Speaker 1: is this just fantasy? Called in a land? Okay, we're checking.

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Speaker 1: I liked where you were going though. It sounded like

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Speaker 1: you had that next part. I'll have it all, I

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Speaker 1: have it all locked a load of karaoke that song

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Speaker 1: for days. Uh, what is something that's overrated? Marriage? How

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Speaker 1: your parents doing weddings? I think weddings in particular, are

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Speaker 1: very over weddings are I mean, I have a lot

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Speaker 1: of friends that have had weddings that are married. Now.

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Speaker 1: I just think it's a giant waste of money, especially

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Speaker 1: in America and in Western society. Like everyone lives together anyway,

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Speaker 1: Like why do we have to go and get married,

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Speaker 1: Like there's no difference other than getting attacks incentives or whatever.

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Speaker 1: So just go to a courthouse and get married if

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Speaker 1: that's the case. But why throw a big, stupid expensive

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Speaker 1: party that and just blow all your money on something.

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Speaker 1: Let's go travel, go do something more like that will

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Speaker 1: have more memories and just like cake, like cake, Wow,

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Speaker 1: whoa hold on? I was on board, you know. I

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Speaker 1: feel you know, like if you look, if you are

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Speaker 1: wealthy enough that you have that kind of disposable income

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Speaker 1: to throw a wedding, sure that's your progitive to do so.

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Speaker 1: But I have friends who have had more creative weddings

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Speaker 1: that have been more about like let's just have a

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Speaker 1: good time. And I've had people have more traditional ones,

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Speaker 1: and I think about my own future. I don't know.

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Speaker 1: The price tag is always a thing that I'm like,

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Speaker 1: yeah for one night, like one one whole thing, like

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Speaker 1: for what I think it's so. I think what I

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Speaker 1: think is overrated is just the build up to it

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Speaker 1: as well, like making it your whole priority in life

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Speaker 1: to get married and have a like a family. And

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Speaker 1: I mean, like, are you doing an impression of it

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Speaker 1: you were thinking of someone it's clearly me I get married.

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Speaker 1: That's weird too, as Jack's like, you want to see

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Speaker 1: my wedding photos just right before and now you say this,

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Speaker 1: So okay. I think it's admirable that people have that priority.

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Speaker 1: I just think it's a little silly to build it

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Speaker 1: up for a wedding or like those symbols of what

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Speaker 1: marriage is portrayed as as far as commercialism goes, whether

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Speaker 1: it's a ring, whether it's a wedding dress or a

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Speaker 1: party or whatever, like being with someone should be just more. Yeah.

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Speaker 1: But I think you know that's how you know, that's

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Speaker 1: how they want to rock this your prerogative to throw

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Speaker 1: your money away, you know, because I know people who

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Speaker 1: really are Yeah, of course, of course, of course, I

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Speaker 1: mean not that you're trying to say if you disagree

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Speaker 1: with you, but I think you see people who over

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Speaker 1: emphasize the wedding like it could literally be like it's

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Speaker 1: an existential thing, like like if this does not happen, right, yeah, yeah, yeah,

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Speaker 1: but you know also I also but hey, I love

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Speaker 1: a wedding though it's like one of those weird things.

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Speaker 1: I'm like, I love a wedding if I'm not paying

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Speaker 1: for parts. It's like a free party, free food. Yeah.

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Speaker 1: I think it's good for people also who you know,

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Speaker 1: don't get to cut loose and like you know, Lucy,

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Speaker 1: well like just I don't know. I've definitely been to

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Speaker 1: a lot of weddings where there are like middle aged

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Speaker 1: men who are just getting after it and just having

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Speaker 1: like the most fun, and you just know that that's

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Speaker 1: not the sort of thing they get to. Are you

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Speaker 1: talking about chasing a woman or just dancing just rug

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Speaker 1: getting drunk? You know, It's like there's for some people. Yeah,

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Speaker 1: And I feel like some people don't have you know,

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Speaker 1: parties on a regular basis or like lots of fun

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Speaker 1: things to do. Sharine sounds like we need to invite

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Speaker 1: Jack to a party. You know, they're lonely and they

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Speaker 1: just record the podcast and it's rinse, repeat, and it's

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Speaker 1: like ground Hugs Day where I'm just cutting a rug,

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Speaker 1: like a literal rug all right, the scott Dark But

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Speaker 1: you know, how would you do a wedding your way?

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Speaker 1: I just don't think I would get married. Okay, in general,

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Speaker 1: just the idea of marriage doesn't appeal to you. It's

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Speaker 1: like a transaction. It's a transaction basically, like from you know,

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Speaker 1: world times. Yeah, give me the antiquated is a lot

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Speaker 1: of its based in religion, which I don't really I'm

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Speaker 1: not a fan of. So it's like why, I mean,

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Speaker 1: I think it's very great. I'm all for gay marriage.

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Speaker 1: I'm glad there's like gay rights now where they're they're

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Speaker 1: probably they're finally equal. But at the same time, just

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Speaker 1: the idea of marriage being this lofty goal always it

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Speaker 1: so strange to me. All right, but well, support gay

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Speaker 1: marriage more because of the things it affords you or

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Speaker 1: the status you get from certain protections by being married, right,

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Speaker 1: because they incentivize it. What's the best wedding you ever

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Speaker 1: been to? Oh? Wow, Okay, never mind, I've probably been

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Speaker 1: to a wedding. I've been to weddings. I had fun

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Speaker 1: my friend's wedding from college. I well, I was also

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Speaker 1: taking photos at that wedding though, so I was like

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Speaker 1: kind of working. But um, I mean, I just I

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Speaker 1: like dancing with my friends. It's like fun until it's

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Speaker 1: like let loose and cut the rug and whatever. But

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Speaker 1: cut a rug Americans. Um, But I don't know. I

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Speaker 1: I think weddings are fun, but also they kind of

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Speaker 1: like make me like nauseous. Okay, So it sounds like

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Speaker 1: a lot going on with these weddings. I feel like

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Speaker 1: I'm sounding so uh pessimistic. But there's just like I'm

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Speaker 1: all for love and being with someone, but there's also

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Speaker 1: like an underlying thing like nothing less. Wow, hell yeah,

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Speaker 1: everything is temporary transience of life. What's something that's underrated

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Speaker 1: besides the transience of life? Puzzles? Oh shit? Wow? Like Sudoku, puzzles,

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Speaker 1: Crossford puffs, finding a lifelong mate, so that riddle. I

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Speaker 1: love puzzles. I love Sudoku, I love cross words. I

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Speaker 1: love video games because they're basically just like real puzzles

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Speaker 1: to solve with your strategic mind. And then fucking escape

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Speaker 1: rooms are just live action puzzles you have to just

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Speaker 1: navigate your way through. It's so big. Have done, yo.

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Speaker 1: I have friends right now. I have a group of

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Speaker 1: friends who I used to get so high within high school,

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Speaker 1: like where I'm like, yo, these people are like not

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Speaker 1: gonna do ship. They're so hooked on escape rooms. I'm

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Speaker 1: not shading you of if you're listening, you know, get yeah,

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Speaker 1: you know, I respect you, but like it was so

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Speaker 1: funny one day they're like, we've just been doing a

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Speaker 1: lot of escape rooms and I was like for real

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Speaker 1: and they're like, Yo, they're really dope. And I'm like,

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Speaker 1: we used to sit down all day and just like

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Speaker 1: play video games, and like they're like so enthusisa They've

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Speaker 1: been to every single one in l A. Like they've

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Speaker 1: exhausted every escape room possibility, and I'm like, damn, I

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Speaker 1: need to get more and more people of my that

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Speaker 1: friend up from high school like, yo, escape rooms are

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Speaker 1: the way. Well it's because it's like a boss temple

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Speaker 1: that you have to navigate through in the video game,

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Speaker 1: but you're they're in person in this like makeshift temple

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Speaker 1: or whatever it is, and uh, I love it. It's

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Speaker 1: so fun and it's so I think just puzzles in

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Speaker 1: general are underrated and the kind of like nerdy is

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Speaker 1: when it comes to Sudoku or cross word or even

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Speaker 1: jigsaw puzzles. Like a greet your mind, y'all, just like

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Speaker 1: like be with yourself and like learn something. Every time

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Speaker 1: we do a crossword, I learned like five new things

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Speaker 1: I didn't know before, right, Yeah, great, And yeah with jigsaws,

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Speaker 1: I know a lot of people are shouting out of

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Speaker 1: jigsaw puzzles on here, and it's when you get to

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Speaker 1: like the last three pieces, you're like they all look,

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Speaker 1: you're real worried. But there is an escape room down

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Speaker 1: the street. So yeah, I've been to two escape rooms

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Speaker 1: I think, and one was really good and like you know,

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Speaker 1: the clues actually led one to the next. And then

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Speaker 1: I've been to one where it was just like completely

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Speaker 1: arbitrary office into an escape kind of hit or miss. Yeah,

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Speaker 1: it tends on the place. The first escape room ever

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Speaker 1: did was in Dubai, so it's it's an international phenomenon,

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Speaker 1: you know, like everyone's doing it's it's a flex of

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Speaker 1: the first time it was a Dubai the most I'm

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Speaker 1: sure if you've heard of that, because um but yeah,

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Speaker 1: I think escape rooms are fun and it's a great

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Speaker 1: place for friendship to either grow or explode in your

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Speaker 1: face because you probably get into argument with your friends.

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Speaker 1: Was right, But either way, it's a test get bummed

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Speaker 1: out how dumb your friend is. Oh my god, this

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Speaker 1: dude is not getting it's literally trying to put a

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Speaker 1: like a circle into a squire. Do you ever play

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Speaker 1: that mobile game The Room? No, that's a great like

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Speaker 1: sort of and not it's not like it's an escape room,

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Speaker 1: but it's one of those things where everything sort of

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Speaker 1: builds on the next thing and it's kind of easy logic. Yeah,

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Speaker 1: I'll look it up. Yeah, the Room like the movie, Yeah,

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Speaker 1: but different. I think there's like same premise, same premise.

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Speaker 1: It's about a mother and son. Is that what that

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Speaker 1: books about? Yes? Yes, all right, No, I was I

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Speaker 1: was thinking about the rooms. That's rooms that we're talking about,

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Speaker 1: and then the room the time. That's right. Uh. Finally,

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Speaker 1: what is a myth shuring? What is something people think

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Speaker 1: it's true that you know to be false. Well, my

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Speaker 1: first outline saw this was people think you need to

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Speaker 1: shake polaroid pictures and that is a myth. Oh, the

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Speaker 1: Outcast song. The Outcast song has led people to believe

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Speaker 1: a lie for years and years and I would even

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Speaker 1: say decades. And it's so unfortunate because shaking the polaroid

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Speaker 1: makes the colors run, don't really, it does it ruins

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Speaker 1: the color. You're you're. What you're supposed to do is

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Speaker 1: let it develop on its own, not don't touch it,

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Speaker 1: don't even move it. Said it, now, said it, and forget.

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Speaker 1: I feel like such a fool. But he's told all

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Speaker 1: Beyonce's and Lucy Lose and baby girls. I mean, you know,

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Speaker 1: you know what to do. Just shake, shake, shake it.

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Speaker 1: It's actually a very sad song. Yeah, I mean, I

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Speaker 1: mean it's a sad but catchy song, but also misleading

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Speaker 1: people for their polaroid did not invent that, by the way.

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Speaker 1: I know you're very young, but people have been shaking

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Speaker 1: polaroid pictures for years and yeah, it's just like a

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Speaker 1: weird hat because people, I think, because the logic, right,

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Speaker 1: is that all the developing chemicals are in the bottom

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Speaker 1: the actual polaroid. So and I guess I felt like

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Speaker 1: shaking it would actually it would make it quicker, right.

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Speaker 1: I mean, I'm not saying they invented it. I'm just

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Speaker 1: saying that, yeah, the idea, and they sunk it to

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Speaker 1: the masses. Every time I take a polaroid picture, I

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Speaker 1: started shaking it. I'm like, like the song anyone Clap Clap,

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Speaker 1: just always looking for a wedding to break out, you know,

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Speaker 1: dance dance. Don't want to be your daddy. I just

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Speaker 1: want you and my caddy. That is such perfect myth

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Speaker 1: because it's one of those things. Yeah, yeah, that it

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Speaker 1: feels right. You're like, I mean I was. I lived

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Speaker 1: in my dark room in high school. I was very

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Speaker 1: much at photography, and that was like the one of

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Speaker 1: the first things we learned, like to listen to the

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Speaker 1: song and we were like, that was like a popular

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Speaker 1: song back in the day, like when I was the

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Speaker 1: first day of photography. Cut. We're not even to talk

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Speaker 1: about apertures or anything like that right now. Analyze why speed.

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Speaker 1: I also do not listen to Hey, you just changed

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Speaker 1: my life all right in your house, all your poor

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Speaker 1: uh so many memories, so many ruins, uh Idris elba, guys,

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Speaker 1: what a man? What a man? Uh So? The next

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Speaker 1: Bond movie is coming out in November two thousand nineteen.

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Speaker 1: It's still gonna be Daniel Craig. He agreed to sign

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Speaker 1: on for one more, but they already have the director

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Speaker 1: apparent after he was like, I'll never do any cut

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Speaker 1: my wrist or something. Yeah. Basically he like got real

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Speaker 1: emo and was just like I would rather die than

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Speaker 1: do another Bond movie, And then they were like, how

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Speaker 1: about twenty five million dollars? He was like yeah, shaking

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Speaker 1: nuts right, Um, that's such a good Daniel Craig impression.

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Speaker 1: Were shaking nuts, stirred, thank you, I will sign here. Um.

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Speaker 1: So they've already tapped Antoine Fuqua to direct, and he

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Speaker 1: and Barbara Broccoli, who was like the keeper of the

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Speaker 1: Bond franchise, have already said they're thinking not in white,

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Speaker 1: which most people think will translate to Indra Celba kind

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Speaker 1: of trying to be progressive, but also like yeah, but

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Speaker 1: like we want to wed like a colored yeah, non white. Wait.

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Speaker 1: I remember when they were first dabbling with the idea

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Speaker 1: of their being a not white James Bond that it

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Speaker 1: was like Cuba Cuba Gooden Jr. Like when the conversation

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Speaker 1: the first time was even like they even thought about

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Speaker 1: it years ago. I remember that was like the first

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Speaker 1: must have been a pre snow Dog's conversation. It was

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Speaker 1: after I break most of mine. I know it's right

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Speaker 1: after radio. I break timelines into pre and snow Dogs.

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Speaker 1: So I just I use radio as that delviation point um.

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Speaker 1: But like it would have just been far more uh

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Speaker 1: constructive just to cast someone of color rather than announce

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Speaker 1: that you want to do that right right exactly, They're like, Okay, guys,

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Speaker 1: we're gonna do something different to praise us for being

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Speaker 1: so woke, hey woke washed. Um. I've heard it's speculated

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Speaker 1: that the oscars like put out that idea of best

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Speaker 1: Popular Movie or best Achievement in Popular Film as sort

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Speaker 1: of like a weather balloon to just see how people

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Speaker 1: reacted online. Um, and you know this could be another

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Speaker 1: example of that of just being like, hey, we're thinking

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Speaker 1: about this and like seeing how people react. Uh. And

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Speaker 1: I think the reaction has generally just been like yeah,

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Speaker 1: maybe because like for a white racist, because James Bond

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Speaker 1: is English, they don't feel any ownership over yeah whatever,

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Speaker 1: he was an American, it would be different. Keep American white, right, yeah,

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Speaker 1: keep mission impossible white. You're playing Tom Cruise who But

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Speaker 1: he was funny this week though, they were talking about

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Speaker 1: to do you know you know Kay Michelle, she's like

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Speaker 1: the R and B singer who's on Love and Hip

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Speaker 1: Hop Atlanta. She used to date addrous Elva and this

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Speaker 1: story came out this week where they dated, like and

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Speaker 1: I just have to tell this anecdote. So first she

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Speaker 1: talked about how they met. She's like, I'm walking off

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Speaker 1: stage and I hear this accent, say, came a show,

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Speaker 1: you're beautiful. I told him to his face, your jeans

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Speaker 1: too tight and your accent funny. She didn't have a filter.

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Speaker 1: I'm straight out of Memphis. And then they're like, oh,

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Speaker 1: what was the relationship, Like, like, was the sex good?

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Speaker 1: They said? She sits up and exclaims, amazing, head, it

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Speaker 1: was good. I remember that head. Michelle let him know

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Speaker 1: it or something. But he got the skills. Amazing couple, Michelle,

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Speaker 1: You're beautiful. That's my dressuble So we're we're pro this though,

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Speaker 1: right for sure? Yeah, I mean yeah, just for me. Also,

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Speaker 1: get me excited about the director too, right, I want

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Speaker 1: to know who because Casino Royale was such a like

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Speaker 1: I thought that was really taking James Bonds and I'm like, oh, look,

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Speaker 1: he's a broken man. It's hard to watching all those

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Speaker 1: women die constantly and acting like you could just drown

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Speaker 1: your sorrows into Martini, like you were starting to see

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Speaker 1: like the sort of the humanity of it. Yeah, exactly,

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Speaker 1: and then it kind of you know, they sort of

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Speaker 1: once they wrote people back in they sort of lost

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Speaker 1: that threat, but I would love to see that all

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Speaker 1: was definitely the peak of Daniel Craig. Well, that was

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Speaker 1: the first one, wasn't it was it? Yeah? I think

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Speaker 1: that was the reboot with him, and then it was

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Speaker 1: just sort of like, Okay, I'll be on board for

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Speaker 1: the next ones, and you're just like yeah, because in

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Speaker 1: the real you're right, it was like this darker version

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Speaker 1: of this character that wasn't just like Swave Pierce Brawsen

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Speaker 1: and whatever. There's the same thing like when Chris Nolan

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Speaker 1: started doing the Batman movies, where you're like, oh, ship

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Speaker 1: Batman's kind of funk that yeah, and he actually might

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Speaker 1: might actually just be producing. I know he was involved

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Speaker 1: in this conversation. I immediately assumed that he was the

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Speaker 1: director because that's what he's mostly known as, but he

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Speaker 1: also is apparently a producer, so they could go in

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Speaker 1: a more interesting direction. Although he directed Training Day and

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Speaker 1: Training Day is a pretty good movie, he also directed

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Speaker 1: Shooter the Magnificent Seven, so I could go either way. Uh,

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

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Speaker 1: back after that, and we're back and I think it

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Speaker 1: was last night on Kimmel Kanye. Kanye showed up, showed up,

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Speaker 1: and he ghosted some other show. So they they've had

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Speaker 1: a feud in the past. Oh yeah, remember remember well

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Speaker 1: on Twitter, Remember they were going back and forth and

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Speaker 1: like that's when like Virgil Ablow was helping him make

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Speaker 1: memes like flat back in him where it was like

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Speaker 1: like it was like SpongeBob square pants and he's like

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Speaker 1: Jimmy Kimmel's face looking motherfucker Like it was this weird.

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Speaker 1: It was like right around the yes this album. I

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Speaker 1: remember when they were fucking going at and then they

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Speaker 1: squashed it or whatever. So yeah, when he showed up yesterday,

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Speaker 1: I was like it was like twenty two minute interview total.

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Speaker 1: And I really loved Jimmy Kimmel lots an interview where

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Speaker 1: actually like he's never runned me the wrong way, he's

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Speaker 1: always really nice and like he's still it's funny without

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Speaker 1: being obnoxious. Um, And I really like the interview. I think,

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Speaker 1: I mean, Kanye is just a character, but because I

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Speaker 1: don't know, I liked how Jimmy spun it all because

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Speaker 1: he always was like underlying like Donald Trump sucks. Yeah,

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Speaker 1: and Kanye didn't really have anything retort like he didn't

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Speaker 1: have a rebuttal to any of that, aside from like

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Speaker 1: he would just say his point, Like I had to

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Speaker 1: build up a lot of confidence to put that Maga

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Speaker 1: hat on. It wasn't because of that, it was just

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Speaker 1: it was more of a symbolic moment for me to

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Speaker 1: like take control, yeah, or just be like I'm going

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Speaker 1: to do this thing I want. I don't care what

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Speaker 1: the repercussions are. I want to wear the hat or whatever.

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Speaker 1: And sure, but there was one moment that was so

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Speaker 1: good where you could tell Kanye doesn't really he's not

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Speaker 1: in the ring with intellectual heavyweights too often trying to

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Speaker 1: defend his position because Jimmy kim questions him. Probably yeah,

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Speaker 1: Jimmy Kimmel just melted him with one question basically. So

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Speaker 1: I think we're playing a clip of Kanye kind of

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Speaker 1: talking about his love for Trump, how fucking love and

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00:21:48,760 --> 00:21:51,720
Speaker 1: just can solve everything, and then Kimmy, Jimmy Kimmy gets

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Speaker 1: him real good. But I see people just even like

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Speaker 1: go at the president. It's like, why not try love

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00:21:59,320 --> 00:22:04,000
Speaker 1: for one per send to stand up against all odds

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Speaker 1: and just hug somebody the way that Alice Johnson hugged

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Speaker 1: her family when she got out of jail. That one

408
00:22:13,520 --> 00:22:17,120
Speaker 1: by one by one, we can defuse this nuclear bomb

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Speaker 1: of hate that we're in as a society by thinking

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Speaker 1: of everyone is our family, and how are we treat

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Speaker 1: our kids? How are we treating I think that's a

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Speaker 1: beautiful thought. But just in literal terms, there are families

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Speaker 1: being torn apart at the border of this country. They

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Speaker 1: are are literally families being torn apart as a result

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Speaker 1: of what this president is doing. And I think that,

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Speaker 1: you know, we cannot forget that, whether we like his

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Speaker 1: personality or or not, his actions are really what what matters.

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Speaker 1: I mean, so famously and so powerfully said George Bush

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Speaker 1: doesn't care about black people. It makes me wonder what

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Speaker 1: makes you think that Donald Trump does or people at all.

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Speaker 1: Why don't we take a break. We'll come back and Kanye.

422
00:23:09,160 --> 00:23:11,800
Speaker 1: Every time Kanye gets nervous in this interview, he crosses

423
00:23:11,840 --> 00:23:14,000
Speaker 1: his arms. Yeah, you go. He's so transparent, you know

424
00:23:14,040 --> 00:23:15,760
Speaker 1: what I mean, Like his you know the few times

425
00:23:15,800 --> 00:23:18,280
Speaker 1: where you can read someone's body language is Kanye because

426
00:23:18,280 --> 00:23:20,840
Speaker 1: he's signaling great, like okay, let me close off to

427
00:23:20,920 --> 00:23:23,000
Speaker 1: what you're saying now, and then okay, what do you

428
00:23:23,480 --> 00:23:26,560
Speaker 1: so what you can't see because this is an audio podcast,

429
00:23:26,680 --> 00:23:28,960
Speaker 1: is right after you asked that question, Kanie, like he

430
00:23:29,160 --> 00:23:31,840
Speaker 1: takes in, he leans back like he's about to say something,

431
00:23:31,880 --> 00:23:35,480
Speaker 1: and then just kind of goes right. And then Kim

432
00:23:35,560 --> 00:23:38,119
Speaker 1: will just mercifully. He's just like, Okay, let's take a

433
00:23:38,200 --> 00:23:40,119
Speaker 1: break because you don't need to take that much of

434
00:23:40,160 --> 00:23:42,240
Speaker 1: an l on camera. And then but the thing that

435
00:23:42,520 --> 00:23:44,080
Speaker 1: disappointed me a little bit is when they came back,

436
00:23:44,119 --> 00:23:47,400
Speaker 1: they just kind of went back to other topics. Yeah,

437
00:23:47,480 --> 00:23:50,000
Speaker 1: and I think you need to, you know, hold this

438
00:23:50,119 --> 00:23:52,280
Speaker 1: man's feet to the fire because he he doesn't even

439
00:23:52,359 --> 00:23:55,000
Speaker 1: really know where he lands. Uh, Kanye be cause he

440
00:23:55,000 --> 00:23:56,960
Speaker 1: didn't really thought about any of this ship. And also

441
00:23:57,240 --> 00:23:59,240
Speaker 1: when he said Alice, when he brings up Alice Johnson,

442
00:23:59,320 --> 00:24:01,600
Speaker 1: that was the woman that Kim Kardashian caped for and

443
00:24:01,680 --> 00:24:03,760
Speaker 1: then got the pardon, right, he was like, well, why

444
00:24:03,800 --> 00:24:06,000
Speaker 1: can't when she comes out and hugs her family, like

445
00:24:06,040 --> 00:24:08,760
Speaker 1: blah blah blah, that's love between a family where there

446
00:24:08,880 --> 00:24:11,560
Speaker 1: is love that exists. That is not a supported her. Yeah,

447
00:24:11,600 --> 00:24:14,040
Speaker 1: that is not an adversarial relationship. So what the funk

448
00:24:14,080 --> 00:24:16,000
Speaker 1: are you? Like? That's where you're like, oh man, you

449
00:24:16,119 --> 00:24:20,520
Speaker 1: are you just so detached from reality? It's yeah, well

450
00:24:20,720 --> 00:24:22,639
Speaker 1: you know, but I do like Jimmy Kimmel and how

451
00:24:22,680 --> 00:24:25,120
Speaker 1: he handled it though. He's a smart man. Yeah yeah

452
00:24:25,119 --> 00:24:27,359
Speaker 1: he didn't. I mean, he didn't get real messy about it,

453
00:24:27,520 --> 00:24:29,320
Speaker 1: but he just brought up a few things like Okay,

454
00:24:29,320 --> 00:24:32,600
Speaker 1: I'm gonna leave that there. Your SoLIT that marriage and

455
00:24:32,720 --> 00:24:35,159
Speaker 1: his points. His views are very obviously shown, you know

456
00:24:35,200 --> 00:24:36,760
Speaker 1: what I mean, Like he's not going to just like

457
00:24:36,880 --> 00:24:38,760
Speaker 1: jack him off as he's like interviewing him. I like

458
00:24:38,840 --> 00:24:40,800
Speaker 1: that about Jimmy Kimmell. He's not like Jimmy Fallon is

459
00:24:40,800 --> 00:24:44,160
Speaker 1: just like laughing at every joke, jacks everyone off. Yeah yeah,

460
00:24:44,440 --> 00:24:46,440
Speaker 1: most people who don't live out here don't know that.

461
00:24:46,520 --> 00:24:50,840
Speaker 1: But he's constantly jacking his guests, especially Trump little known

462
00:24:50,920 --> 00:24:54,200
Speaker 1: fact you don't see that's actually a because that's your name,

463
00:24:55,400 --> 00:24:58,920
Speaker 1: that is true, constantly called jack off. When I was

464
00:24:59,480 --> 00:25:02,200
Speaker 1: when I was like, yeah, sweat rolled down his face.

465
00:25:04,760 --> 00:25:07,679
Speaker 1: He's not crying, Okay, No, these are tears of laughter

466
00:25:08,000 --> 00:25:17,040
Speaker 1: called courage water and he's my courage is so much

467
00:25:17,080 --> 00:25:20,240
Speaker 1: it's coming out and my eyes. I thought it was

468
00:25:20,320 --> 00:25:22,600
Speaker 1: really smart that you pointed out he was like, yes,

469
00:25:22,720 --> 00:25:26,159
Speaker 1: you're viewing that as a completely personality based right, and

470
00:25:26,280 --> 00:25:29,800
Speaker 1: that is true of narcissists. That's true Trump, That's true

471
00:25:29,840 --> 00:25:32,440
Speaker 1: of kind of it. It seems that everything is just

472
00:25:32,520 --> 00:25:34,800
Speaker 1: personality based. And I think it's also true of our

473
00:25:34,880 --> 00:25:37,920
Speaker 1: media that we tend to just you know, when we're

474
00:25:38,000 --> 00:25:41,800
Speaker 1: viewing elections or these stories, were just like, are you

475
00:25:41,840 --> 00:25:44,480
Speaker 1: making into world rest? Even with the me too stuff?

476
00:25:44,480 --> 00:25:46,560
Speaker 1: There are people who like some people. If you're a fan, like,

477
00:25:46,640 --> 00:25:50,480
Speaker 1: there's that first layer of like, but that person is cool? Right?

478
00:25:50,920 --> 00:25:54,760
Speaker 1: Am I willing to like like remove that from the

479
00:25:55,080 --> 00:25:58,720
Speaker 1: like observing this situation? So yeah, I think it's interesting

480
00:25:58,760 --> 00:26:00,640
Speaker 1: that you started out talking to about like not knowing

481
00:26:00,680 --> 00:26:03,240
Speaker 1: the difference between a character and a nonfictional thing and

482
00:26:03,280 --> 00:26:05,840
Speaker 1: a character and a fictional thing, because I think that

483
00:26:06,320 --> 00:26:08,000
Speaker 1: that kind of breaks down for us a lot of

484
00:26:08,080 --> 00:26:11,000
Speaker 1: the time that a lot of these celebrities are just

485
00:26:11,119 --> 00:26:14,440
Speaker 1: kind of fictional character. Uh you know, Kanye is not

486
00:26:14,520 --> 00:26:16,680
Speaker 1: a fictional character though, right, you called him a character,

487
00:26:17,000 --> 00:26:21,040
Speaker 1: you know, he's just he's He's a real person. Yeah,

488
00:26:21,760 --> 00:26:26,200
Speaker 1: Oh yeah, I'm sorry. I did like I did, like

489
00:26:26,240 --> 00:26:28,639
Speaker 1: when Kimmel when he brought him out, he described him

490
00:26:28,640 --> 00:26:31,280
Speaker 1: as like a very talented musician whatever whatever, And the

491
00:26:31,359 --> 00:26:35,560
Speaker 1: last thing was shoe salesman and he brought him out shoes.

492
00:26:37,920 --> 00:26:43,760
Speaker 1: You sell shoes. Alright, guys, let's talk about what we're

493
00:26:43,800 --> 00:26:48,720
Speaker 1: calling Petti Arabia. Um, So, let's just lay the ground

494
00:26:48,760 --> 00:26:52,000
Speaker 1: work here, because I feel like I told I get

495
00:26:52,480 --> 00:26:55,399
Speaker 1: the different sides of the conflict when I listened to

496
00:26:55,640 --> 00:26:59,280
Speaker 1: your podcast Ethnically Ambiguous with super Producer on a Hosnia,

497
00:27:00,080 --> 00:27:02,520
Speaker 1: But I feel like it leaves my mind to the

498
00:27:02,560 --> 00:27:05,840
Speaker 1: second I start listening to it. So that's HOWPF no

499
00:27:06,000 --> 00:27:08,639
Speaker 1: no just not leaves my mind. But it's like I

500
00:27:08,880 --> 00:27:12,600
Speaker 1: don't get it or like it gets too complex for me.

501
00:27:12,680 --> 00:27:15,720
Speaker 1: So I just want to relay it layout like what

502
00:27:15,840 --> 00:27:20,000
Speaker 1: the sides are. So on one side, it's sunny countries

503
00:27:20,080 --> 00:27:24,720
Speaker 1: like Saudi Arabia, Kuwait, It's basically like most of the

504
00:27:24,920 --> 00:27:27,920
Speaker 1: Middle Eastern countries. I think people are kind of calling

505
00:27:27,920 --> 00:27:32,120
Speaker 1: it the Saudi Arabia Coalition Saudi Arabia lead coalition these days.

506
00:27:33,080 --> 00:27:37,359
Speaker 1: And America is you know, backing that coalition in the

507
00:27:37,520 --> 00:27:41,240
Speaker 1: UK and Australia, Antarkey in South Korea and Lidlesia and Indonesia,

508
00:27:41,280 --> 00:27:45,040
Speaker 1: Ambrazil in Finland and Bosnia in Pakistan, and Israel is

509
00:27:45,119 --> 00:27:50,800
Speaker 1: kind of secretly on board too, depends right whatever the

510
00:27:50,960 --> 00:27:54,280
Speaker 1: US is Israel is too, right. And then on the

511
00:27:54,320 --> 00:27:58,040
Speaker 1: other side, Iran is sort of the only Shia majority

512
00:27:58,480 --> 00:28:02,640
Speaker 1: country in the region. Uh. And you know on their

513
00:28:02,720 --> 00:28:06,240
Speaker 1: side you have Syria's current regime, which is all Assad

514
00:28:06,480 --> 00:28:11,320
Speaker 1: and Russia. And that's is that mainly it. I mean

515
00:28:11,400 --> 00:28:14,560
Speaker 1: there's in terms of like the who is fighting in

516
00:28:15,000 --> 00:28:17,600
Speaker 1: Yemen or just in terms of who is aligned with

517
00:28:17,720 --> 00:28:20,600
Speaker 1: Saudi Arabia, who is aligned with Saudi Arabia and against

518
00:28:20,680 --> 00:28:26,200
Speaker 1: Saudi Arabia, I mean against is Russia, Iran, Syria, And yeah,

519
00:28:26,240 --> 00:28:29,240
Speaker 1: that's it. So there's an active fighting right now and

520
00:28:29,359 --> 00:28:35,639
Speaker 1: Yemen and Syria and Libya and Yemen. In Yemen, a

521
00:28:35,840 --> 00:28:39,320
Speaker 1: school bus was just bombed by this sort of Saudi

522
00:28:39,480 --> 00:28:44,720
Speaker 1: lead coalition and there's just horrifying imagery. And there's also

523
00:28:44,800 --> 00:28:47,920
Speaker 1: been this sort of war of words going on between

524
00:28:48,000 --> 00:28:51,600
Speaker 1: Saudi Arabia and Canada. Yah. Well, right, I think the

525
00:28:51,720 --> 00:28:54,680
Speaker 1: crux of this is sort of like how the US

526
00:28:55,240 --> 00:28:58,000
Speaker 1: just is trying to play both sides in this specific

527
00:28:58,080 --> 00:29:03,240
Speaker 1: instance to like where Canada rightfully is saying Hey, you're

528
00:29:03,480 --> 00:29:06,960
Speaker 1: arrested to female activists in Saudi Arabia who are getting

529
00:29:07,120 --> 00:29:09,640
Speaker 1: what like ten years and like a thousand lashings or

530
00:29:09,680 --> 00:29:12,200
Speaker 1: something was their sentence. And one of them is like

531
00:29:12,280 --> 00:29:14,800
Speaker 1: the sister of an imprisoned blogger whose wife is a

532
00:29:14,840 --> 00:29:17,440
Speaker 1: Canadian citizen, so they just felt on behalf of their

533
00:29:17,480 --> 00:29:20,040
Speaker 1: citizens are like, hey, this is fucked up. Yeah. And

534
00:29:20,080 --> 00:29:22,960
Speaker 1: then there's another prisoner that was a UBC at the

535
00:29:23,040 --> 00:29:27,000
Speaker 1: University of British Columbia alumni that like as a statement,

536
00:29:27,040 --> 00:29:30,040
Speaker 1: like she's an activist. She drove before driving was legal

537
00:29:30,120 --> 00:29:32,360
Speaker 1: for for women in Saudi Arabia. She drove as an

538
00:29:32,360 --> 00:29:34,960
Speaker 1: active resistance in the border in Saudi Arabia, and she

539
00:29:35,040 --> 00:29:38,440
Speaker 1: was arrested in UM and she's still in jail because

540
00:29:38,440 --> 00:29:42,120
Speaker 1: she was arrested again for protesting UM. The professors of

541
00:29:42,120 --> 00:29:45,520
Speaker 1: the university or contacting the government and that whatever they're

542
00:29:45,920 --> 00:29:50,720
Speaker 1: they're they're speaking out over the longstanding history of human

543
00:29:50,840 --> 00:29:54,480
Speaker 1: rights abuse UM in Saudi Arabia, particularly against women, and

544
00:29:54,520 --> 00:29:56,680
Speaker 1: like the prisoners that are still there, And if you

545
00:29:56,720 --> 00:29:59,240
Speaker 1: guys want to know more, honestly, I would recommend the

546
00:29:59,400 --> 00:30:02,280
Speaker 1: most recent so ethnically ambiguous and and I break down

547
00:30:02,600 --> 00:30:05,640
Speaker 1: Saudi Arabia. It's for the majority of the episode and

548
00:30:05,840 --> 00:30:08,520
Speaker 1: that comes out on Monday, so chuck it out. Yeah,

549
00:30:08,800 --> 00:30:11,480
Speaker 1: with this whole situation too, there's like a very telling

550
00:30:11,600 --> 00:30:14,840
Speaker 1: moment where one of the like the spokeswoman for the

551
00:30:14,880 --> 00:30:16,840
Speaker 1: State Department, Heather now and I think is their name,

552
00:30:17,080 --> 00:30:19,840
Speaker 1: They asked her like, what's the U s's position on this,

553
00:30:20,160 --> 00:30:23,120
Speaker 1: and it was so evasive of like, yeah, well, you know,

554
00:30:23,680 --> 00:30:25,720
Speaker 1: we can't help them both out. They're going to have

555
00:30:25,800 --> 00:30:28,040
Speaker 1: to figure this out on their own or whatever, when

556
00:30:28,080 --> 00:30:31,040
Speaker 1: it's so clearly like just say that you turn a

557
00:30:31,120 --> 00:30:34,840
Speaker 1: blind eye to a lot of Saudi Arabia's bad behavior

558
00:30:35,040 --> 00:30:38,440
Speaker 1: because we were aligned with them for many geopolitical resource

559
00:30:38,480 --> 00:30:41,280
Speaker 1: reasons or whatever for money. Yeah, and I think what

560
00:30:41,400 --> 00:30:43,360
Speaker 1: our own people will just can't admit that, So it

561
00:30:43,440 --> 00:30:45,360
Speaker 1: comes out in this weird half ass thing of like

562
00:30:45,640 --> 00:30:47,160
Speaker 1: well there, you know, we don't want to pick some

563
00:30:48,040 --> 00:30:49,920
Speaker 1: just just say you look, we were we were in

564
00:30:50,000 --> 00:30:51,680
Speaker 1: bed with them, and we don't we can't really make

565
00:30:51,720 --> 00:30:53,960
Speaker 1: it hot for ourselves because we're in bed with them.

566
00:30:54,440 --> 00:30:56,920
Speaker 1: So yeah, this whole thing of like now it's become

567
00:30:57,040 --> 00:31:00,920
Speaker 1: this really big publicity war where like I think on

568
00:31:01,080 --> 00:31:03,560
Speaker 1: Saudi State TV, like they did a special on all

569
00:31:03,600 --> 00:31:07,800
Speaker 1: the human rights violations of Canada and then called back

570
00:31:07,840 --> 00:31:11,320
Speaker 1: with like fifteen thousand students to be like, yo, you

571
00:31:11,400 --> 00:31:13,240
Speaker 1: gotta leave the country and we're gonna put you in

572
00:31:13,320 --> 00:31:16,440
Speaker 1: some other schools because we don't funk with Canada anymore. Uh,

573
00:31:16,560 --> 00:31:18,720
Speaker 1: And yeah, I think. And then there was that weird

574
00:31:18,840 --> 00:31:21,680
Speaker 1: tweet that was like from the Foreign Ministry that was

575
00:31:21,760 --> 00:31:25,200
Speaker 1: like a Canadian airplane graphic. It was infographic that showed

576
00:31:25,240 --> 00:31:29,280
Speaker 1: an airplane like en route to smash into the Toronto

577
00:31:29,400 --> 00:31:32,800
Speaker 1: space needle, right, yeah, and like it was all black

578
00:31:32,880 --> 00:31:34,959
Speaker 1: and white, but the plane was in color. And then

579
00:31:35,040 --> 00:31:37,680
Speaker 1: it was like it was like the old Arab proverb

580
00:31:37,880 --> 00:31:40,360
Speaker 1: is like those who put stick their nose and things

581
00:31:40,440 --> 00:31:42,920
Speaker 1: they're like they're not a part of we'll see things

582
00:31:43,000 --> 00:31:46,200
Speaker 1: they do not like. And everyone's like, yo, what what

583
00:31:46,280 --> 00:31:49,680
Speaker 1: are you trying to say? Right? Because then because a

584
00:31:49,720 --> 00:31:51,920
Speaker 1: lot of people are like, hey, you know, like fifteen

585
00:31:51,960 --> 00:31:54,760
Speaker 1: of the nine eleven hijackers were Saudi's, like what are

586
00:31:54,800 --> 00:31:56,320
Speaker 1: you all trying to say? That? Oh? No, no, no no,

587
00:31:56,480 --> 00:31:58,960
Speaker 1: that that that was meant to be the ambassador returning

588
00:31:59,400 --> 00:32:01,840
Speaker 1: to Canada. Uh. And that's what that was about, which

589
00:32:02,000 --> 00:32:04,960
Speaker 1: maybe it was, but like again, wasn't it was a

590
00:32:05,120 --> 00:32:07,920
Speaker 1: very weird thing and like and then you know, it's

591
00:32:07,920 --> 00:32:10,080
Speaker 1: just a it's an odd moment too because Mohammad been

592
00:32:10,120 --> 00:32:12,440
Speaker 1: Salmon is sort of like, oh, I don't they're making

593
00:32:12,480 --> 00:32:14,360
Speaker 1: it hot blah blah blah, and it's like you are

594
00:32:14,760 --> 00:32:17,680
Speaker 1: exacerbating this whole issue by then getting into this weird

595
00:32:17,920 --> 00:32:22,000
Speaker 1: rhetorical feud with Canada. I mean, Trump has praised Salmon

596
00:32:22,160 --> 00:32:25,040
Speaker 1: for being this progressive like bringing a new age Saudi Arabia,

597
00:32:25,080 --> 00:32:27,880
Speaker 1: when really he's like he's even worse like that, Like, yeah,

598
00:32:27,960 --> 00:32:30,000
Speaker 1: sure he lifted the band on women driving, but the

599
00:32:30,080 --> 00:32:32,880
Speaker 1: women that drove and are in prison for driving are

600
00:32:32,920 --> 00:32:35,200
Speaker 1: still in prison, Like they're not getting released, like they're

601
00:32:35,200 --> 00:32:36,720
Speaker 1: going to be in jail for a long time because

602
00:32:36,800 --> 00:32:40,239
Speaker 1: they were driving. Um, So he's not progressive if he's

603
00:32:40,280 --> 00:32:41,840
Speaker 1: just making it all worse and he's just a fake

604
00:32:42,000 --> 00:32:46,400
Speaker 1: ass bitch. Wow let him know given that smoke. And

605
00:32:46,480 --> 00:32:49,120
Speaker 1: it's one of those things too where the US is

606
00:32:49,240 --> 00:32:51,280
Speaker 1: so quick to be like, you know, Iran, he's changed

607
00:32:51,280 --> 00:32:53,680
Speaker 1: their foreign policy. You know, they're doing all this this

608
00:32:53,760 --> 00:32:55,840
Speaker 1: is and that, that that that and that and at

609
00:32:55,920 --> 00:32:58,080
Speaker 1: that same press conference where someone pressed him about like

610
00:32:58,120 --> 00:33:00,560
Speaker 1: what's going on with Saudi Arabia and Canada. They're like, well,

611
00:33:00,640 --> 00:33:03,640
Speaker 1: what about Saudi Arabia? Like you're so quick to call Iran?

612
00:33:03,800 --> 00:33:06,560
Speaker 1: Is it? What about Saudi Arabia? And the spokesperson she

613
00:33:06,720 --> 00:33:10,360
Speaker 1: literally started like, well, what what are you trying to say?

614
00:33:10,520 --> 00:33:12,840
Speaker 1: Like she was about to answer and realize she didn't

615
00:33:12,880 --> 00:33:15,760
Speaker 1: have quite the good bullshit. I'm sorry, I think we

616
00:33:15,800 --> 00:33:18,160
Speaker 1: have a bad connection and like, no, I'm talking to you.

617
00:33:19,040 --> 00:33:21,080
Speaker 1: How is this different than Saudi Arabia? What's going on?

618
00:33:22,280 --> 00:33:25,000
Speaker 1: They're like, and especially now, like a bunch of kids

619
00:33:25,040 --> 00:33:27,640
Speaker 1: got killed, and now what they're just going to be like, well,

620
00:33:27,720 --> 00:33:30,120
Speaker 1: you know, send Nicki Haley out to hold up scraps

621
00:33:30,160 --> 00:33:32,600
Speaker 1: of metal that have like Iran stamped on and be like, guys,

622
00:33:32,680 --> 00:33:34,400
Speaker 1: this is really what we need to be looking. So,

623
00:33:34,960 --> 00:33:39,160
Speaker 1: I don't know, it's an ongoing feud where the representative

624
00:33:39,160 --> 00:33:41,560
Speaker 1: our own government can't really be fully honest with themselves

625
00:33:41,560 --> 00:33:45,120
Speaker 1: about why they can't why they played both sides. Yeah, yeah,

626
00:33:45,200 --> 00:33:48,400
Speaker 1: And I just looked it up and there's a Saudi

627
00:33:48,520 --> 00:33:51,120
Speaker 1: lead military coalition that announced is going to investigate the

628
00:33:51,160 --> 00:33:54,960
Speaker 1: air strike that took place in Yemen that killed thirty children. Um,

629
00:33:55,680 --> 00:33:57,360
Speaker 1: I feel like they was doing that for show, because

630
00:33:57,360 --> 00:34:00,400
Speaker 1: obviously they were behind it. Yeah, it was a Saudi

631
00:34:00,600 --> 00:34:03,840
Speaker 1: lead coalition. Yeah, it's just hey, we gotta figure out

632
00:34:03,840 --> 00:34:06,000
Speaker 1: what happened there. Yeah, I mean it's going through some

633
00:34:06,280 --> 00:34:10,680
Speaker 1: ship and uh, it's just really unfortunate and Sati Arabia

634
00:34:10,760 --> 00:34:15,560
Speaker 1: has been behind most of the deaths and it's really upsetting. Um. Well, guys,

635
00:34:15,640 --> 00:34:18,839
Speaker 1: listen to Ethnically Ambiguous this Monday and every week. It's

636
00:34:19,200 --> 00:34:22,680
Speaker 1: such a great show. It helps make sense of this

637
00:34:22,840 --> 00:34:25,880
Speaker 1: part of the world for people like me who are dummies,

638
00:34:26,280 --> 00:34:29,640
Speaker 1: and makes sense of Anna's dad too. Yeah, and makes sense.

639
00:34:29,640 --> 00:34:32,480
Speaker 1: You have a big part in this show. Your dad

640
00:34:32,800 --> 00:34:34,360
Speaker 1: he pulled up in this episode. Oh yeah, we we

641
00:34:34,600 --> 00:34:40,400
Speaker 1: called Anna's mom. We do Hi. It's Anna. Hi always

642
00:34:40,480 --> 00:34:43,960
Speaker 1: in the room. Thank you for clanking that out. So

643
00:34:44,000 --> 00:34:47,640
Speaker 1: you're not an apparition act, Yeah, my real you're not parents.

644
00:34:48,000 --> 00:34:53,120
Speaker 1: My parents are hosts of the podcasts. They're always there. Okay,

645
00:34:53,400 --> 00:34:58,239
Speaker 1: they're always alive. Fantastic, Yeah, but they have. Both of

646
00:34:58,320 --> 00:35:02,840
Speaker 1: your parents have been featured on recent episodes. Have such amazing,

647
00:35:03,040 --> 00:35:07,279
Speaker 1: super interesting stories and it's despite all the heavy ship

648
00:35:07,360 --> 00:35:09,680
Speaker 1: we're talking about right now. It is one of the

649
00:35:09,920 --> 00:35:14,279
Speaker 1: funniest podcasts you'll hear anywhere. You think, so, yeah, I'm

650
00:35:14,320 --> 00:35:17,319
Speaker 1: going to I'm a fan. What do you think it's Yeah,

651
00:35:17,360 --> 00:35:20,960
Speaker 1: I just like when I hear I just like podcast

652
00:35:21,080 --> 00:35:25,000
Speaker 1: Tell Me More is a serious podcast. It's not serious.

653
00:35:25,280 --> 00:35:32,120
Speaker 1: It's been in the comedy comedy. Yeah, this can't be real.

654
00:35:32,520 --> 00:35:34,319
Speaker 1: I mean the parts where you go over the news

655
00:35:34,400 --> 00:35:39,160
Speaker 1: stories really were serious podcasts, where like have you seen

656
00:35:39,200 --> 00:35:41,160
Speaker 1: her image? We wear turnal? Next, why are you laugh?

657
00:35:41,280 --> 00:35:44,680
Speaker 1: Inspired by Steve Jobs? But no, Yeah, we called our

658
00:35:44,760 --> 00:35:47,600
Speaker 1: parents and the recent episodes that happened, like there's one

659
00:35:47,640 --> 00:35:49,400
Speaker 1: episode we called her dad, I called my dad. The

660
00:35:49,440 --> 00:35:51,319
Speaker 1: next episode we called her mom. We're probably gonna call

661
00:35:51,360 --> 00:35:52,920
Speaker 1: my mom next episode. And I think those are my

662
00:35:53,040 --> 00:35:57,160
Speaker 1: favorite because you get your infostrate from the source, you

663
00:35:57,200 --> 00:35:59,319
Speaker 1: know what I mean, Like, I love talking to our

664
00:35:59,320 --> 00:36:03,040
Speaker 1: parents because they're so like, they're not primed to be

665
00:36:03,360 --> 00:36:08,879
Speaker 1: on a podcast. They just say whatever, yeah, exactly, it's great.

666
00:36:09,000 --> 00:36:11,239
Speaker 1: Yeah it really is. And my dad want to answer

667
00:36:11,320 --> 00:36:13,759
Speaker 1: the phone. He I was so glad he did when

668
00:36:13,800 --> 00:36:15,239
Speaker 1: we called him and I didn't tell him to, but

669
00:36:15,320 --> 00:36:17,640
Speaker 1: he said he holds answers, and he says shoo, shoot,

670
00:36:17,920 --> 00:36:20,239
Speaker 1: and which is why? Like what's was my nickname for

671
00:36:20,600 --> 00:36:22,680
Speaker 1: my family? And I just love that now it's now,

672
00:36:22,760 --> 00:36:24,600
Speaker 1: it's forever. I want to make it a little audio

673
00:36:24,640 --> 00:36:29,040
Speaker 1: bite that you can just play whatever. I be. A drop,

674
00:36:29,239 --> 00:36:36,720
Speaker 1: just an adorable drop. Alright, guys. The New York Times

675
00:36:37,480 --> 00:36:40,120
Speaker 1: has a report out today that I think it's based

676
00:36:40,160 --> 00:36:42,880
Speaker 1: on a pew It's not really a pull. It's like

677
00:36:43,040 --> 00:36:46,960
Speaker 1: a panel slash study that they did where they actually

678
00:36:47,400 --> 00:36:52,480
Speaker 1: lined up responders to a pole with who they actually

679
00:36:52,560 --> 00:36:54,520
Speaker 1: voted for. So they've been able to get a really

680
00:36:55,320 --> 00:36:59,880
Speaker 1: detailed picture of who Trump voters are, how they felt

681
00:37:00,600 --> 00:37:04,279
Speaker 1: during the election, and how they feel today. And one

682
00:37:04,360 --> 00:37:07,360
Speaker 1: of the things that they focus on in this article

683
00:37:07,840 --> 00:37:11,040
Speaker 1: is that, you know, it's not I think when we

684
00:37:11,360 --> 00:37:14,680
Speaker 1: picture a Trump voter, your mind just goes to white

685
00:37:15,000 --> 00:37:18,560
Speaker 1: male without a college degree, tends to be who gets

686
00:37:18,640 --> 00:37:22,680
Speaker 1: interviewed at his rallies, and who you know is heavily

687
00:37:22,760 --> 00:37:26,000
Speaker 1: featured and at least my mind when I think about

688
00:37:26,239 --> 00:37:30,280
Speaker 1: your typical Trump voter. But that group makes up about

689
00:37:30,320 --> 00:37:33,359
Speaker 1: thirty of his voters, so still like an outsized part

690
00:37:33,560 --> 00:37:37,480
Speaker 1: of the voter population. But for the past four Republican nominees,

691
00:37:37,719 --> 00:37:40,759
Speaker 1: it's all been between thirty and thirty. So it's not

692
00:37:41,360 --> 00:37:45,839
Speaker 1: like he had suddenly activated a new vein of voters. Right,

693
00:37:45,920 --> 00:37:49,880
Speaker 1: he did get more of them than past people, but

694
00:37:50,040 --> 00:37:55,520
Speaker 1: they are becoming a smaller part of the voting block. Basically,

695
00:37:55,800 --> 00:37:58,480
Speaker 1: it's more people people go to college. Yeah, and as

696
00:37:58,520 --> 00:38:02,640
Speaker 1: the world becomes more diverse and more educated, and you know,

697
00:38:02,760 --> 00:38:05,040
Speaker 1: another thing that kind of jumps out at you is

698
00:38:05,160 --> 00:38:09,000
Speaker 1: just how strongly things are breaking in the direction of

699
00:38:09,400 --> 00:38:13,440
Speaker 1: urban versus rural. Uh that people This is something that

700
00:38:13,520 --> 00:38:15,279
Speaker 1: got covered a lot in two thousand and sixteen, but

701
00:38:15,840 --> 00:38:17,960
Speaker 1: you know, prior to two thousand sixteen, I think a

702
00:38:18,000 --> 00:38:20,040
Speaker 1: lot of people viewed it as like there's red states,

703
00:38:20,120 --> 00:38:23,200
Speaker 1: there's blue states, and then they're the battleground states. And

704
00:38:23,719 --> 00:38:26,040
Speaker 1: you know, when you actually look at how people vote,

705
00:38:26,120 --> 00:38:30,680
Speaker 1: it's really just urban versus rural. Like the Republican Party

706
00:38:31,239 --> 00:38:35,040
Speaker 1: is a rural party and the Democratic Party is you know,

707
00:38:35,480 --> 00:38:38,360
Speaker 1: urban And now a lot of the focus is shifting

708
00:38:38,440 --> 00:38:41,960
Speaker 1: to the suburbs, the sort of borderlands between the two,

709
00:38:42,239 --> 00:38:46,879
Speaker 1: and you know, even drawing a distinction between exerbs, which

710
00:38:46,880 --> 00:38:50,120
Speaker 1: are like the suburbs that are closer to the cities,

711
00:38:50,560 --> 00:38:54,640
Speaker 1: and then the more rural suburbs um where Trump is

712
00:38:54,719 --> 00:38:56,759
Speaker 1: still more popular. Well, that's why you see with a

713
00:38:56,840 --> 00:38:59,239
Speaker 1: lot of these special elections that were happening in these

714
00:38:59,280 --> 00:39:02,080
Speaker 1: like solid Lidley or at one point where solidly read

715
00:39:02,160 --> 00:39:05,000
Speaker 1: districts that Trump won. I think that's where you're seeing

716
00:39:05,200 --> 00:39:08,000
Speaker 1: the shift because like a lot of these suburban areas

717
00:39:08,000 --> 00:39:10,480
Speaker 1: are kind of coming around to like what it actually

718
00:39:10,560 --> 00:39:12,839
Speaker 1: meant to vote for Trump, you know what I mean?

719
00:39:12,920 --> 00:39:15,520
Speaker 1: Like where I think in the lead up to the election,

720
00:39:15,600 --> 00:39:18,479
Speaker 1: it was easy to try and convince yourself that he wasn't.

721
00:39:18,920 --> 00:39:21,839
Speaker 1: I mean, if you're someone who was in a little

722
00:39:21,840 --> 00:39:23,880
Speaker 1: bit in denial about the racism, it was easy to

723
00:39:23,920 --> 00:39:25,200
Speaker 1: be like, well, I don't know if he means it.

724
00:39:26,840 --> 00:39:30,080
Speaker 1: Intelligent people were clearly like completely turned off by his rhetoric.

725
00:39:30,280 --> 00:39:32,200
Speaker 1: But I think some people are like, that's just how

726
00:39:32,239 --> 00:39:34,440
Speaker 1: he talks. It reminds me of someone I know who

727
00:39:34,560 --> 00:39:38,319
Speaker 1: isn't a violent racist, says old timey beliefs kind of thing.

728
00:39:38,600 --> 00:39:41,200
Speaker 1: And now that we're seeing all the policies that they're

729
00:39:41,280 --> 00:39:43,600
Speaker 1: just horrific, I think a lot of people are starting

730
00:39:43,640 --> 00:39:45,960
Speaker 1: to wise up, and that's why you're seeing like suddenly

731
00:39:46,040 --> 00:39:48,920
Speaker 1: these places that were not competitive suddenly are and the

732
00:39:49,000 --> 00:39:51,440
Speaker 1: places that he's really being able to consistently turn out

733
00:39:51,520 --> 00:39:54,239
Speaker 1: votes are still in like more rural areas. Granted there

734
00:39:54,239 --> 00:39:56,560
Speaker 1: are plenty of subvert like there are urban areas that

735
00:39:56,719 --> 00:39:59,680
Speaker 1: do fully buy into the Trump thing, but like, and

736
00:39:59,800 --> 00:40:02,120
Speaker 1: I think, Ohio, this last one in the twelfth district,

737
00:40:02,400 --> 00:40:04,040
Speaker 1: you see two, A lot of a lot of the

738
00:40:04,040 --> 00:40:07,520
Speaker 1: suburban areas are like okay, maybe not. And more women

739
00:40:07,560 --> 00:40:10,319
Speaker 1: too are also. I think who had really gave him,

740
00:40:10,640 --> 00:40:14,759
Speaker 1: delivered the election to him starting to shift away of

741
00:40:14,800 --> 00:40:18,600
Speaker 1: Trump's voters were women, that is the most Isn't that unfortunate?

742
00:40:18,719 --> 00:40:21,520
Speaker 1: And the same thing I've ever heard, And I knew that.

743
00:40:21,640 --> 00:40:25,360
Speaker 1: I just every time I hear it, I'm just like, oh, well,

744
00:40:25,440 --> 00:40:27,640
Speaker 1: I think that's why. Now they know that they're losing,

745
00:40:27,719 --> 00:40:30,600
Speaker 1: like based on how all these elections have gone in primates,

746
00:40:30,600 --> 00:40:35,120
Speaker 1: they're like, oh shit, like we're losing suburban women, and

747
00:40:35,800 --> 00:40:39,160
Speaker 1: now deploy agent Ivanka now, like they're really relying on

748
00:40:39,239 --> 00:40:42,080
Speaker 1: her to start stumping in these areas, you know, because

749
00:40:42,400 --> 00:40:45,680
Speaker 1: I think she's like a good safety blanket for suburban

750
00:40:45,760 --> 00:40:47,920
Speaker 1: people to who are like who had if they if

751
00:40:47,920 --> 00:40:50,640
Speaker 1: they voted for Trump, they will use her to convince

752
00:40:50,719 --> 00:40:53,960
Speaker 1: themselves that, like I will just locker room talk boys

753
00:40:54,040 --> 00:40:56,560
Speaker 1: talk like like she won't let it get bad, even

754
00:40:56,600 --> 00:40:59,080
Speaker 1: though she sat on her hands and all the family

755
00:40:59,160 --> 00:41:01,200
Speaker 1: separation she was opening, and she sat on her hands

756
00:41:01,239 --> 00:41:04,000
Speaker 1: when every other fucking thing was happening. But somehow she

757
00:41:04,120 --> 00:41:08,000
Speaker 1: can come in with her nice cap teeth and everyone's like, yeah, yeah, yeah,

758
00:41:08,280 --> 00:41:14,839
Speaker 1: he widened mouth somehow she well, you know, that's that's

759
00:41:14,920 --> 00:41:19,760
Speaker 1: that's what every face aside her. Her Her fucking actions

760
00:41:20,200 --> 00:41:25,440
Speaker 1: speak louder than her teeth. Um. A couple other interesting details.

761
00:41:25,520 --> 00:41:28,239
Speaker 1: He still wont percent of voters making more than a

762
00:41:28,360 --> 00:41:31,040
Speaker 1: hundred and fifty dollars a year. I think, you know,

763
00:41:31,200 --> 00:41:34,160
Speaker 1: people like to focus on the you know what they

764
00:41:34,239 --> 00:41:37,000
Speaker 1: call the working class white voter, but it's actually a

765
00:41:37,080 --> 00:41:40,960
Speaker 1: lot of country club white voters. Uh. And he won

766
00:41:41,200 --> 00:41:45,520
Speaker 1: nearly of college educated white voters, and that is the

767
00:41:46,280 --> 00:41:49,440
Speaker 1: part of his base that seems to be sort of

768
00:41:49,520 --> 00:41:51,440
Speaker 1: souring on him a little bit. They were saying that

769
00:41:51,920 --> 00:41:55,799
Speaker 1: the people who voted for him, I think they were

770
00:41:55,880 --> 00:41:59,239
Speaker 1: like twelve percent that were college educated white women, and

771
00:41:59,719 --> 00:42:03,719
Speaker 1: they previously rated him like in the seventies, you know,

772
00:42:04,120 --> 00:42:06,680
Speaker 1: on a scale of zero to a hundred, and like

773
00:42:06,840 --> 00:42:12,560
Speaker 1: now are like in the thirties. Uh so way, But

774
00:42:12,680 --> 00:42:17,920
Speaker 1: I'm not gonna believe that ships so fucking January happens

775
00:42:17,960 --> 00:42:20,239
Speaker 1: and that we see someone else up there. I mean,

776
00:42:20,400 --> 00:42:24,480
Speaker 1: it's still significant for because you know, a lot of

777
00:42:24,719 --> 00:42:31,320
Speaker 1: the battleground states are these heavily rural districts where there's

778
00:42:31,680 --> 00:42:37,120
Speaker 1: you know, his part of the votership is overrepresented essentially

779
00:42:37,239 --> 00:42:42,759
Speaker 1: when compared to the breakdown nationwide. But they're also saying

780
00:42:42,800 --> 00:42:45,440
Speaker 1: that for the mid terms, this is why things are

781
00:42:45,520 --> 00:42:48,720
Speaker 1: looking better and better for Democrats is because the people.

782
00:42:49,239 --> 00:42:51,200
Speaker 1: It's just it doesn't break down that way. It's not

783
00:42:51,480 --> 00:42:55,440
Speaker 1: like you have a an advantage one place or another.

784
00:42:55,600 --> 00:42:58,520
Speaker 1: It's just, you know, whoever wins the most votes. It's

785
00:42:58,600 --> 00:43:02,200
Speaker 1: interesting because the big part of his campaign was immigration

786
00:43:02,400 --> 00:43:05,080
Speaker 1: and and like making American great again. And I think

787
00:43:05,160 --> 00:43:08,760
Speaker 1: that's why he's buckling down so hard on this wall

788
00:43:09,080 --> 00:43:11,920
Speaker 1: or just the illegal immigration that's happening now, because he

789
00:43:12,000 --> 00:43:13,800
Speaker 1: wants to rile up those voters you have in the

790
00:43:13,840 --> 00:43:16,680
Speaker 1: past being like remember me, like I instilled all this

791
00:43:16,800 --> 00:43:18,680
Speaker 1: fear in you about all these immigrants and look what's

792
00:43:18,719 --> 00:43:21,000
Speaker 1: happening now, And so I think that's a big part

793
00:43:21,040 --> 00:43:23,400
Speaker 1: of what he's trying to do. Why he's not budging

794
00:43:23,440 --> 00:43:25,640
Speaker 1: on this immigration thing. Yeah yeah, and it could be

795
00:43:25,719 --> 00:43:28,319
Speaker 1: to his detriment because if the government shuts down over

796
00:43:28,400 --> 00:43:30,000
Speaker 1: this wall, like that is not going to be a

797
00:43:30,080 --> 00:43:32,360
Speaker 1: good thing for people who act like people. There are

798
00:43:32,360 --> 00:43:34,920
Speaker 1: people who vote for him that also rely on services

799
00:43:34,960 --> 00:43:37,040
Speaker 1: from the government, So then to shut it down, they'd

800
00:43:37,040 --> 00:43:39,920
Speaker 1: be like, honestly, I'd rather have you know, my medicaid

801
00:43:40,000 --> 00:43:43,040
Speaker 1: or something than you having a fucking tantrum over all

802
00:43:43,120 --> 00:43:46,560
Speaker 1: law or now that like immigrant families are like like

803
00:43:46,640 --> 00:43:50,960
Speaker 1: even illegal immigrant families, and now he's even attacking legal immigrants. Uh,

804
00:43:51,120 --> 00:43:54,680
Speaker 1: they're being toward apart exactly. Yeah they just got a

805
00:43:54,800 --> 00:44:00,440
Speaker 1: citizenship woo who. But yeah, it's pretty gross and um,

806
00:44:00,600 --> 00:44:02,640
Speaker 1: it's all just like a tactic that he's trying to do,

807
00:44:02,719 --> 00:44:04,520
Speaker 1: and I hope it built up in his face. Well,

808
00:44:04,520 --> 00:44:07,000
Speaker 1: I think that's why the Democrats are trying to run

809
00:44:07,080 --> 00:44:09,080
Speaker 1: more on a sort of like this is what I

810
00:44:09,200 --> 00:44:11,600
Speaker 1: will try and do to improve your life that like

811
00:44:11,719 --> 00:44:14,440
Speaker 1: has roorked in these red areas, were like, hey, like

812
00:44:14,560 --> 00:44:17,160
Speaker 1: you guys need more broadband out here like in these areas,

813
00:44:17,320 --> 00:44:20,319
Speaker 1: or like like let's let's guarantee you some healthcare things

814
00:44:20,400 --> 00:44:23,759
Speaker 1: like that, whereas these other the GOP candidates are just like, hey, man,

815
00:44:23,840 --> 00:44:27,919
Speaker 1: fucking m S thir teen dude, you know the immigrants?

816
00:44:28,320 --> 00:44:31,480
Speaker 1: Uh isis what else? What else can I scare you?

817
00:44:31,600 --> 00:44:33,839
Speaker 1: And I'm proud of the Democrats right now because I mean,

818
00:44:34,160 --> 00:44:36,879
Speaker 1: so Cortez won in New York. She's like a very

819
00:44:37,000 --> 00:44:40,560
Speaker 1: like progressive Bernie girl. And then the first Muslim moment

820
00:44:40,640 --> 00:44:43,680
Speaker 1: ever won in Michigan and Detroit. And she's taking the

821
00:44:43,760 --> 00:44:47,600
Speaker 1: seat of someone who has been in powers the Republicans

822
00:44:47,840 --> 00:44:54,239
Speaker 1: nine and uh he was accused of us pedophilia. Basically, um,

823
00:44:55,800 --> 00:44:58,359
Speaker 1: wait didn't she didn't. I thought she won John Connor seat,

824
00:44:58,800 --> 00:45:04,240
Speaker 1: who's not a he's not a Republican, he's not Rashida.

825
00:45:05,160 --> 00:45:08,719
Speaker 1: She won John John Kanyer the pedophile as a Democrat. Yeah,

826
00:45:08,800 --> 00:45:12,879
Speaker 1: why do I assume? Sorry, that's my own bias. Sorry,

827
00:45:12,920 --> 00:45:16,600
Speaker 1: that's me just like fantasizing about who the worst people

828
00:45:16,600 --> 00:45:19,279
Speaker 1: in the world are. But yeah, I thought it was

829
00:45:19,320 --> 00:45:22,319
Speaker 1: sexually harassing people. Where did the pedophilia thing? I heard

830
00:45:22,320 --> 00:45:26,440
Speaker 1: it was sexually harassing children? No, no, No, he was.

831
00:45:26,600 --> 00:45:31,520
Speaker 1: He was sexually harassing like his Yeah, but like young adults,

832
00:45:31,840 --> 00:45:35,600
Speaker 1: I think it was younger than they were legally adults.

833
00:45:35,600 --> 00:45:37,360
Speaker 1: I mean, yeah, theyre I think it was. It was

834
00:45:37,440 --> 00:45:41,920
Speaker 1: mostly around like groping and other sex scandals ideot I

835
00:45:42,200 --> 00:45:43,959
Speaker 1: from what I understand, I don't think I had anything

836
00:45:43,960 --> 00:45:47,239
Speaker 1: to do with unreally people. It was just very my

837
00:45:47,719 --> 00:45:50,719
Speaker 1: wires are across. But the point is, I'm proud of

838
00:45:50,800 --> 00:45:55,439
Speaker 1: Democrats for at least like trying, especially like Democratic women,

839
00:45:55,560 --> 00:45:59,080
Speaker 1: because I mean, ultimately the most I mean the Hillary

840
00:45:59,360 --> 00:46:01,840
Speaker 1: versus Trump thing, like the most qualified women lost to

841
00:46:01,880 --> 00:46:04,319
Speaker 1: the least qualified man, and like they both have their

842
00:46:04,440 --> 00:46:08,040
Speaker 1: negative points. Sure, but the people that said she was

843
00:46:08,160 --> 00:46:09,960
Speaker 1: just as bad or something, or the people that I

844
00:46:10,200 --> 00:46:12,320
Speaker 1: have a huge issue with because it would not be

845
00:46:12,480 --> 00:46:15,000
Speaker 1: this bad. Yeah, and I think, I mean, they have eyes,

846
00:46:15,120 --> 00:46:18,359
Speaker 1: they can tell that now right by at this point. Yeah,

847
00:46:18,400 --> 00:46:19,759
Speaker 1: but there's a lot of you know, people don't want

848
00:46:19,760 --> 00:46:22,000
Speaker 1: admit mistakes, admit their mistakes too, which is why I'm

849
00:46:22,000 --> 00:46:24,920
Speaker 1: still a little bit hesitant to really believe all of

850
00:46:25,000 --> 00:46:27,279
Speaker 1: the polling because I feel like a lot of people,

851
00:46:27,320 --> 00:46:30,080
Speaker 1: there are a lot of people who I feel would say, like, no, man,

852
00:46:30,120 --> 00:46:32,800
Speaker 1: I'm okay with the decision, who probably don't want to

853
00:46:32,880 --> 00:46:35,680
Speaker 1: admit that, they're like, yeah, I sucked up. The people

854
00:46:35,760 --> 00:46:37,800
Speaker 1: that I'm really mad at are the fucking third party

855
00:46:37,880 --> 00:46:40,360
Speaker 1: voters where it mattered. Those are the people that just

856
00:46:40,560 --> 00:46:43,680
Speaker 1: never talked to me again. Yeah, alright, we're going to

857
00:46:43,760 --> 00:46:56,120
Speaker 1: take another quick break. We'll be right back, and we're

858
00:46:56,160 --> 00:47:00,840
Speaker 1: back and just real real briefly, Laura and Room is

859
00:47:00,880 --> 00:47:07,400
Speaker 1: trending again for basically saying that America has changed and

860
00:47:07,640 --> 00:47:10,440
Speaker 1: used to be great, but now because of quote forced

861
00:47:10,560 --> 00:47:14,839
Speaker 1: demographic changes, is no longer great or you know, we've

862
00:47:14,920 --> 00:47:18,440
Speaker 1: lost the America we once loved. It was one of

863
00:47:18,520 --> 00:47:22,840
Speaker 1: those comments where you could tell what the message was

864
00:47:23,000 --> 00:47:27,120
Speaker 1: by how people responded to it. David Duke immediately ran

865
00:47:27,320 --> 00:47:32,359
Speaker 1: to social media and was like, yes, finally somebody it was. Yeah,

866
00:47:32,360 --> 00:47:35,600
Speaker 1: he said one of the most important truthful monologues in

867
00:47:35,640 --> 00:47:39,080
Speaker 1: the history of mainstream media. I mean, let's just play

868
00:47:39,400 --> 00:47:41,600
Speaker 1: the actual things you can hear for yourself. What the

869
00:47:41,760 --> 00:47:45,000
Speaker 1: fuck they're doing on Fox News right now, because in

870
00:47:45,160 --> 00:47:48,279
Speaker 1: some parts of the country it does seem like the

871
00:47:48,320 --> 00:47:53,280
Speaker 1: America that we know and love doesn't exist anymore. Massive

872
00:47:53,320 --> 00:47:57,000
Speaker 1: demographic changes have been foisted upon the American people and

873
00:47:57,040 --> 00:47:59,800
Speaker 1: their changes that none of us ever voted for and

874
00:48:00,080 --> 00:48:03,840
Speaker 1: most of us don't like. From Virginia to California, we

875
00:48:03,960 --> 00:48:08,080
Speaker 1: see stark examples of how radically in some ways the

876
00:48:08,120 --> 00:48:11,440
Speaker 1: country has changed. Now much of this is related to

877
00:48:11,560 --> 00:48:15,400
Speaker 1: both illegal and in some cases legal immigration. That, of

878
00:48:15,480 --> 00:48:20,560
Speaker 1: course progressives love m m no love it. Keep California's

879
00:48:20,640 --> 00:48:22,719
Speaker 1: name at your mouth. Also, I like that she used

880
00:48:22,719 --> 00:48:26,640
Speaker 1: the word foisted. Yeah, I mean, we certainly didn't vote

881
00:48:26,680 --> 00:48:32,320
Speaker 1: for people to seek a better life here. So between

882
00:48:32,360 --> 00:48:35,440
Speaker 1: her and Tucker Carlson, like they are just he's going,

883
00:48:35,719 --> 00:48:38,720
Speaker 1: He's gone full blurt. It's not even dog lessling anymore.

884
00:48:38,880 --> 00:48:43,319
Speaker 1: It's just fucking scream it from the mountain. White people.

885
00:48:43,600 --> 00:48:46,319
Speaker 1: We need to be scared. Yeah, we need to fight back.

886
00:48:46,560 --> 00:48:49,600
Speaker 1: Remember when she did the whole like nazi hail Hitler thing.

887
00:48:49,640 --> 00:48:51,560
Speaker 1: When she was leaving that speech, he scrolled down in

888
00:48:51,600 --> 00:48:53,560
Speaker 1: this Twitter through there's there's a gift of her doing that.

889
00:48:53,680 --> 00:48:56,640
Speaker 1: It's absurd that that has just that's the same person,

890
00:48:56,760 --> 00:49:00,080
Speaker 1: like she's always been whitey. Yeah, and I think but

891
00:49:00,200 --> 00:49:03,440
Speaker 1: more they they call the boycott the advertisers on her

892
00:49:03,480 --> 00:49:06,440
Speaker 1: show or like they people need to realize this is

893
00:49:06,520 --> 00:49:10,319
Speaker 1: so dangerous and reck careless of Fox to be like, yeah,

894
00:49:10,360 --> 00:49:12,440
Speaker 1: we're gonna broadcast this to a ton of people where

895
00:49:12,480 --> 00:49:16,560
Speaker 1: people are just I mean, this is so it's so

896
00:49:16,800 --> 00:49:19,760
Speaker 1: violently racist and just this whole thing of like forced

897
00:49:19,920 --> 00:49:24,040
Speaker 1: demographic change, just say, just come out and just say

898
00:49:24,120 --> 00:49:27,200
Speaker 1: you're fucking nazi nasty ship so you can be fucking

899
00:49:27,280 --> 00:49:29,759
Speaker 1: canceled forever. Stop sucking around and then coming out the

900
00:49:29,800 --> 00:49:32,560
Speaker 1: next day and being like, oh, I disavow racists who

901
00:49:32,719 --> 00:49:35,880
Speaker 1: embraced my racist comments because I'm not racist even though

902
00:49:35,920 --> 00:49:38,680
Speaker 1: everything I say is racist. What does she call it

903
00:49:38,760 --> 00:49:43,600
Speaker 1: when she's against both illegal immigration and legal immigration, Like

904
00:49:43,840 --> 00:49:47,879
Speaker 1: that's just okay, you don't like foreign people? Like well,

905
00:49:47,960 --> 00:49:50,120
Speaker 1: she's been like, well, you know some of the Christians

906
00:49:50,160 --> 00:49:52,680
Speaker 1: who are avoiding persecution and they're running for their lives.

907
00:49:52,920 --> 00:49:55,120
Speaker 1: I believe them. She said that. She's like, and we

908
00:49:55,160 --> 00:49:57,520
Speaker 1: should we should probably let some of them in. And

909
00:49:57,600 --> 00:49:59,759
Speaker 1: it's like, my man, this is not this is not

910
00:50:00,040 --> 00:50:03,280
Speaker 1: one Oak nightclub. We're like, you know, what's the ratios?

911
00:50:03,400 --> 00:50:05,840
Speaker 1: All right, We're going to some of you win Christian Like,

912
00:50:05,960 --> 00:50:08,120
Speaker 1: shut the funk up, man, this is this is all

913
00:50:08,160 --> 00:50:11,239
Speaker 1: about this idea that like the measure for American nous

914
00:50:11,360 --> 00:50:14,800
Speaker 1: is whiteness, white Christian. Yeah, that that is the that

915
00:50:14,960 --> 00:50:20,000
Speaker 1: is the measurement to to to determine how American somethings.

916
00:50:20,080 --> 00:50:22,680
Speaker 1: When America is something much more. It is so much

917
00:50:22,800 --> 00:50:25,040
Speaker 1: deeper than that, and you know, get all fun. You know,

918
00:50:25,080 --> 00:50:27,879
Speaker 1: it's a concept really, and that's why there are people

919
00:50:27,920 --> 00:50:31,320
Speaker 1: from so many places. My family included, y'all, families include

920
00:50:31,320 --> 00:50:34,359
Speaker 1: every every literally everybody's fucking family included. At one point

921
00:50:34,600 --> 00:50:36,239
Speaker 1: they were like, you know what, I don't rock with

922
00:50:36,360 --> 00:50:39,080
Speaker 1: this place. This place seems like a better option for me.

923
00:50:39,600 --> 00:50:41,439
Speaker 1: I think I'm going to go there because it seems

924
00:50:41,480 --> 00:50:44,080
Speaker 1: like a like minded group of people who were like, yeah,

925
00:50:44,320 --> 00:50:48,680
Speaker 1: be free here. And immigrants are probably more patriotic than

926
00:50:48,719 --> 00:50:52,560
Speaker 1: a lot of like nationals or whatever the word is.

927
00:50:52,640 --> 00:50:55,640
Speaker 1: It's it's they're so My dad in particular, he's so

928
00:50:55,920 --> 00:50:58,320
Speaker 1: proud to be an American, Like sometimes I'll talk to

929
00:50:58,480 --> 00:51:00,399
Speaker 1: about this country and can be like I came here,

930
00:51:00,480 --> 00:51:03,520
Speaker 1: and they've I've only been ever stopped for a traffic ticket.

931
00:51:03,640 --> 00:51:05,120
Speaker 1: Like in my country, I would have been stopped, I

932
00:51:05,160 --> 00:51:06,560
Speaker 1: would have been thrown in jail, and then I would

933
00:51:06,560 --> 00:51:08,239
Speaker 1: have had to have to bribe with the cop or whatever.

934
00:51:08,600 --> 00:51:11,960
Speaker 1: But here I'm free, and I'm just like there's a

935
00:51:12,040 --> 00:51:14,960
Speaker 1: Muslim bang going on. Like after all the stuff, he

936
00:51:15,040 --> 00:51:17,080
Speaker 1: still looks at it as a great country. And that's

937
00:51:17,120 --> 00:51:18,800
Speaker 1: because he came here for a better life and he

938
00:51:18,880 --> 00:51:22,120
Speaker 1: found it. And a lot of immigrants worked ten times

939
00:51:22,200 --> 00:51:26,360
Speaker 1: harder than people that aren't immigrants for ten times less. Yeah, exactly.

940
00:51:26,560 --> 00:51:29,359
Speaker 1: And then the next day she came or Ingram said

941
00:51:29,480 --> 00:51:34,960
Speaker 1: that her um, her, her topic from last night had

942
00:51:35,080 --> 00:51:38,960
Speaker 1: nothing to do with race or ethnicity. She safety and

943
00:51:39,200 --> 00:51:43,520
Speaker 1: borders and values and shut the funk up. Anyways, we've

944
00:51:43,560 --> 00:51:45,920
Speaker 1: got a few minutes left to do a quick check

945
00:51:45,960 --> 00:51:49,640
Speaker 1: in with the So a couple of things happening in

946
00:51:49,680 --> 00:51:54,680
Speaker 1: the tabloids online the equivalent of tabloids online. Kylie Jenner

947
00:51:54,719 --> 00:52:00,239
Speaker 1: turned twenty one, guys, Uh Kylie Kylie Jenner's twenty one

948
00:52:00,320 --> 00:52:05,080
Speaker 1: with the makeup candles, the model Kylie Kylie's the lip

949
00:52:05,239 --> 00:52:11,080
Speaker 1: care right. She was just on the cover of I

950
00:52:11,160 --> 00:52:15,520
Speaker 1: think Forbes or Fortune as a quote self made billionaire

951
00:52:15,600 --> 00:52:19,440
Speaker 1: because she's closing it on a uh cool bill and

952
00:52:20,320 --> 00:52:23,800
Speaker 1: uh so she had her twenty first birthday. Uh it

953
00:52:24,000 --> 00:52:26,280
Speaker 1: was it reminded me a lot of my twenty birthday,

954
00:52:26,600 --> 00:52:30,719
Speaker 1: very similar. Uh. They had a mural of all of

955
00:52:31,440 --> 00:52:34,560
Speaker 1: you know, the sisters, the members of the Kardashian clan,

956
00:52:34,760 --> 00:52:38,960
Speaker 1: and also their significant others, except for Tristan Tristan Thompson,

957
00:52:39,760 --> 00:52:43,239
Speaker 1: who cheated on Chloe and has not been I mean,

958
00:52:43,280 --> 00:52:47,560
Speaker 1: we don't know, man, don't make it on on close

959
00:52:47,600 --> 00:52:51,960
Speaker 1: circuit television. They kiss a little bit, right, uh and

960
00:52:52,120 --> 00:52:55,760
Speaker 1: has not been forgiven. But uh, my man, Ben Simmons

961
00:52:55,960 --> 00:53:01,600
Speaker 1: showed up there because he is dating Handle Uh and

962
00:53:02,320 --> 00:53:04,960
Speaker 1: I don't know, man, that that's that's not good. That's

963
00:53:05,000 --> 00:53:08,879
Speaker 1: not good for thee. It's worse than the Madden Curse. Yeah,

964
00:53:09,320 --> 00:53:10,840
Speaker 1: you know what I mean. Like, it's not everybody on

965
00:53:10,880 --> 00:53:13,080
Speaker 1: the Madden cover got sucked up. I mean the high

966
00:53:13,360 --> 00:53:15,640
Speaker 1: I mean a lot did. But I feel like every

967
00:53:15,760 --> 00:53:18,680
Speaker 1: person who he's gets in a long term relationship with

968
00:53:18,760 --> 00:53:22,280
Speaker 1: these people, like it it changes you. Like James Harden,

969
00:53:22,320 --> 00:53:24,719
Speaker 1: who just won the m v P of of the

970
00:53:24,880 --> 00:53:28,560
Speaker 1: n b A, dated Chloe for a summer and came

971
00:53:28,600 --> 00:53:31,560
Speaker 1: back at the beginning of the season. He was garbage,

972
00:53:32,040 --> 00:53:35,239
Speaker 1: like they broke up, and then he like slowly was

973
00:53:35,320 --> 00:53:39,120
Speaker 1: able to like bring his career back. But I'm just

974
00:53:39,280 --> 00:53:42,320
Speaker 1: I'm worried. Man. He needs to be out here, you know,

975
00:53:42,880 --> 00:53:45,799
Speaker 1: putting his workouts up on Instagram and working on his mother.

976
00:53:45,920 --> 00:53:50,680
Speaker 1: It's going to be very sort of like uh, intoxicating,

977
00:53:50,920 --> 00:53:53,200
Speaker 1: you know, like to be an athlete and not be

978
00:53:53,360 --> 00:53:56,600
Speaker 1: around this like hot, like this the highest form of

979
00:53:56,680 --> 00:53:59,759
Speaker 1: celebrity in a way, and suddenly do that. And I

980
00:53:59,800 --> 00:54:03,359
Speaker 1: think that's what the charm is of it all, because

981
00:54:03,400 --> 00:54:06,480
Speaker 1: it's something so different, Like if you're just some guy

982
00:54:06,520 --> 00:54:09,279
Speaker 1: who's a basketball player or whatever and you're not used

983
00:54:09,280 --> 00:54:11,719
Speaker 1: to pop rides being everywhere and like everyone bending over

984
00:54:11,760 --> 00:54:14,360
Speaker 1: backwards to make you happy or whatever, to do that

985
00:54:14,480 --> 00:54:16,919
Speaker 1: must be like wow, like yo, I like this ship.

986
00:54:17,320 --> 00:54:18,680
Speaker 1: And then you can take your eye off the prize

987
00:54:18,719 --> 00:54:21,000
Speaker 1: and suddenly you're like in a whole bunch of weird

988
00:54:21,080 --> 00:54:26,200
Speaker 1: tabloids because of like one thing, and you're like, what's right? Um,

989
00:54:26,400 --> 00:54:30,120
Speaker 1: was there Caitlin drama too? There was not really Caitlin drama.

990
00:54:30,600 --> 00:54:34,640
Speaker 1: She showed up and they haven't really hung out together

991
00:54:34,760 --> 00:54:37,360
Speaker 1: in a long time, so it was really Yeah, is

992
00:54:37,400 --> 00:54:39,479
Speaker 1: there like weird beef between that? I think there's beef

993
00:54:40,080 --> 00:54:46,759
Speaker 1: between her and Chris and Robert Kardashian's children, because she

994
00:54:47,200 --> 00:54:52,000
Speaker 1: and her memoir talked shit about like Robert Kardashian, Who's

995
00:54:52,040 --> 00:54:57,400
Speaker 1: memoir Caitlyn Jenners like talk shit about their father who

996
00:54:57,440 --> 00:55:02,960
Speaker 1: has passed away. So the Kardashian girls are not super

997
00:55:03,080 --> 00:55:07,560
Speaker 1: fond of her. Whereas Kylie and Kendall, I think there's

998
00:55:07,600 --> 00:55:09,879
Speaker 1: been like some I don't know, they just haven't been

999
00:55:10,200 --> 00:55:14,719
Speaker 1: really working with each other in public lately. But you know,

1000
00:55:14,960 --> 00:55:19,560
Speaker 1: when Kendall Irwin Kylie had her daughter, Stormy. I don't know.

1001
00:55:19,640 --> 00:55:22,880
Speaker 1: This is melting my brain, right, I know, I don't like,

1002
00:55:23,080 --> 00:55:25,480
Speaker 1: I don't I hate that was his news anyways, This

1003
00:55:25,680 --> 00:55:33,200
Speaker 1: is not news. This is gossip. Bullshit say with that

1004
00:55:33,360 --> 00:55:40,640
Speaker 1: voice for me to really understand anyways. Uh Yes. Also,

1005
00:55:40,719 --> 00:55:45,920
Speaker 1: Macaulay Culkin generated the most upsetting thing I heard today.

1006
00:55:46,560 --> 00:55:50,440
Speaker 1: In an appearance on the Joe Rogan Experience podcast, the

1007
00:55:50,600 --> 00:55:55,400
Speaker 1: start of a sentence, McAuley Culkin said about his girlfriend

1008
00:55:55,440 --> 00:55:58,520
Speaker 1: Brenda Song, this one's a good one. So I'm probably

1009
00:55:58,560 --> 00:56:00,799
Speaker 1: gonna put some babies in her in a little bit.

1010
00:56:01,200 --> 00:56:05,080
Speaker 1: I mean we've definitely been practicing. Yeah, the man who's

1011
00:56:05,160 --> 00:56:08,120
Speaker 1: never had sex, He added, I'm going to have some

1012
00:56:08,280 --> 00:56:12,719
Speaker 1: pretty babies. She's Asian, so I'm gonna have tiny little

1013
00:56:12,840 --> 00:56:16,880
Speaker 1: Asian babies. It's going to be adorable. Cool bro, a

1014
00:56:16,960 --> 00:56:19,160
Speaker 1: bunch of Sean Lennon's running around the house. That's what

1015
00:56:19,239 --> 00:56:22,799
Speaker 1: I'm looking for, is literally what he says, actually out

1016
00:56:22,880 --> 00:56:25,560
Speaker 1: of here that is gross. Just the one like this

1017
00:56:25,719 --> 00:56:27,920
Speaker 1: one's a good one. You're not You're not going through

1018
00:56:27,920 --> 00:56:30,440
Speaker 1: a six pack of beer. That's my son, and you

1019
00:56:30,520 --> 00:56:35,040
Speaker 1: open like this one went on this one good look good. Yeah,

1020
00:56:35,080 --> 00:56:38,439
Speaker 1: I'm gonna put some babies in her, like I don't

1021
00:56:38,440 --> 00:56:40,360
Speaker 1: know if maybe is that hown like Lokan talks or

1022
00:56:40,400 --> 00:56:42,080
Speaker 1: is that what Joe Rogan does to you. I don't

1023
00:56:42,120 --> 00:56:45,440
Speaker 1: know when with him, like yeah, he where he was

1024
00:56:45,520 --> 00:56:48,759
Speaker 1: like before the pre interviews, like I'm just respect each

1025
00:56:48,760 --> 00:56:51,720
Speaker 1: other's dreams and support each other. It's really very healthy relationships.

1026
00:56:51,760 --> 00:56:57,600
Speaker 1: Like come on, dude, you fucking dude. Yeah no, no,

1027
00:56:57,920 --> 00:56:59,680
Speaker 1: all right, let's start rolling anyway. So what's going on?

1028
00:56:59,840 --> 00:57:05,200
Speaker 1: But oh you know, bro, we're practicing fucking like you

1029
00:57:05,320 --> 00:57:08,960
Speaker 1: make babies. I heard straight up. I always find that

1030
00:57:09,120 --> 00:57:12,520
Speaker 1: so convincing that someone's uh having a lot of sex

1031
00:57:12,640 --> 00:57:17,160
Speaker 1: when they refer to sex as practicing for Kanye did

1032
00:57:17,200 --> 00:57:20,880
Speaker 1: it too. In one of his old songs, he says,

1033
00:57:21,160 --> 00:57:24,240
Speaker 1: we were just practicing. When you're asked first through the packaging,

1034
00:57:25,520 --> 00:57:28,680
Speaker 1: I think his first child. It sounds like Ari Melbourne

1035
00:57:28,720 --> 00:57:34,360
Speaker 1: now he said, oh, but then anohing in actual wood

1036
00:57:34,400 --> 00:57:36,320
Speaker 1: watching it. So Mila Cunas, remember we're talking to tell

1037
00:57:36,400 --> 00:57:41,840
Speaker 1: us about the guards the weld have connected to this

1038
00:57:41,920 --> 00:57:43,560
Speaker 1: is what we're talking about. Yeah, a few weeks ago.

1039
00:57:43,640 --> 00:57:46,080
Speaker 1: So Mila Kunas was like, yo, I did some fucking

1040
00:57:46,240 --> 00:57:49,120
Speaker 1: dark shit like I was, I did people dirty and

1041
00:57:49,120 --> 00:57:51,920
Speaker 1: everyone's like, oh my god, what happen did you do?

1042
00:57:52,080 --> 00:57:54,720
Speaker 1: So now I think we're finding out that what happened

1043
00:57:54,840 --> 00:57:57,640
Speaker 1: was when she was on that seventies show. She was

1044
00:57:57,880 --> 00:58:00,880
Speaker 1: engaged to this dude, Morgan J. Freeman, who is the

1045
00:58:01,000 --> 00:58:03,520
Speaker 1: creator of Teen Mom or executive producer of Teen Mom,

1046
00:58:03,600 --> 00:58:07,640
Speaker 1: and he was thirty one and she was seventeen. They

1047
00:58:07,720 --> 00:58:12,480
Speaker 1: were engaged a very good year, yes, when she had

1048
00:58:12,520 --> 00:58:17,000
Speaker 1: a very good beer and so, uh, then she was

1049
00:58:17,160 --> 00:58:20,800
Speaker 1: creeping on Morgan J. Freeman with McCauley Culkin and then

1050
00:58:20,960 --> 00:58:24,040
Speaker 1: McCauley Culkin and then then there was Ashton who then

1051
00:58:24,160 --> 00:58:26,800
Speaker 1: she was kind of like she left McCauley for him.

1052
00:58:27,040 --> 00:58:29,440
Speaker 1: So in this whole article, they're like, she like, you know,

1053
00:58:29,600 --> 00:58:31,840
Speaker 1: this could lead to a divorce. But all they're saying

1054
00:58:31,960 --> 00:58:35,760
Speaker 1: is because she was creeping on Morgan Freeman with McCauley Culkin.

1055
00:58:36,160 --> 00:58:39,800
Speaker 1: They're just being like, therefore she will cheat on Ashton

1056
00:58:39,840 --> 00:58:41,440
Speaker 1: Kutcher and there will be a divorce. But hey, you know,

1057
00:58:41,640 --> 00:58:43,400
Speaker 1: like they always say you're gonna lose them, how you

1058
00:58:43,520 --> 00:58:48,919
Speaker 1: get them right? Like mm hmmm, that's what I said.

1059
00:58:48,960 --> 00:58:52,640
Speaker 1: And so yeah, there's that. Okay, magazine is saying Brad

1060
00:58:52,720 --> 00:58:55,480
Speaker 1: put a ring on it. It's official. All they have

1061
00:58:55,680 --> 00:58:59,480
Speaker 1: is a photo of her wearing a wedding ring. Jennifer Aniston.

1062
00:58:59,520 --> 00:59:01,560
Speaker 1: I'm so sorry. The Brad Pitt and Jennifer Andison so

1063
00:59:01,840 --> 00:59:04,520
Speaker 1: continues where if you look at last week's I think

1064
00:59:05,080 --> 00:59:09,440
Speaker 1: in Touch, they said Jen Aniston and justin throw her

1065
00:59:09,680 --> 00:59:12,240
Speaker 1: her husband, like they're calling off the divorce. But then

1066
00:59:12,280 --> 00:59:14,520
Speaker 1: in this week's thing, they're like, she's got a ring

1067
00:59:14,600 --> 00:59:16,640
Speaker 1: on it could just be her fucking old wedding ring.

1068
00:59:16,760 --> 00:59:19,200
Speaker 1: I don't know, there's no date on it, Like they

1069
00:59:19,640 --> 00:59:21,880
Speaker 1: they're really careful about dating all the other photos in

1070
00:59:21,920 --> 00:59:24,000
Speaker 1: this story, but then this is like in July eight

1071
00:59:24,440 --> 00:59:29,200
Speaker 1: two thousand five. But anyway, yeah, they have not been

1072
00:59:29,320 --> 00:59:33,800
Speaker 1: photographed together yet. And the but the cover has been

1073
00:59:34,160 --> 00:59:36,920
Speaker 1: the covers for the past ever since Brad Pitt and

1074
00:59:36,920 --> 00:59:41,800
Speaker 1: Angelina Jolie broke up there, every cover has been about

1075
00:59:41,920 --> 00:59:44,640
Speaker 1: Brad Pitt and Jennifer Andison being together. They have not

1076
00:59:44,680 --> 00:59:47,439
Speaker 1: been photographed together once. It's just old pictures or they're

1077
00:59:47,440 --> 00:59:50,880
Speaker 1: being like photoshopped together. Yeah, and then the Globe even says, oh,

1078
00:59:50,960 --> 00:59:54,280
Speaker 1: they're back together again, but they don't really say what

1079
00:59:54,480 --> 00:59:56,560
Speaker 1: the proof is. They don't have photos, they have nothing

1080
00:59:56,600 --> 00:59:59,120
Speaker 1: else except for you know, quotes. But on the Globe,

1081
00:59:59,120 --> 01:00:00,400
Speaker 1: the last thing I want to point out, as they say,

1082
01:00:00,440 --> 01:00:05,560
Speaker 1: world exclusive convict Cosby joins prison cult desperate for protection

1083
01:00:05,680 --> 01:00:09,080
Speaker 1: behind bars. Now, as somebody who's watched any kind of

1084
01:00:09,160 --> 01:00:11,360
Speaker 1: jail shows, who knows about jail culture in the in

1085
01:00:11,400 --> 01:00:14,240
Speaker 1: the African American community, what kind of jail cult do

1086
01:00:14,320 --> 01:00:18,760
Speaker 1: you think this is? Could be the Nation of Islam. Well,

1087
01:00:18,880 --> 01:00:22,040
Speaker 1: flip on back to that page and lo and behold, Yes,

1088
01:00:22,440 --> 01:00:25,760
Speaker 1: coward Cosby sells his soul joining Nation of Islam after

1089
01:00:25,880 --> 01:00:32,560
Speaker 1: promise he'll be protected in prison. Insider say, yeah, who

1090
01:00:32,720 --> 01:00:35,840
Speaker 1: is the honorable Elijah Mohammed. So yeah, this you know,

1091
01:00:36,040 --> 01:00:41,640
Speaker 1: your typical trash round up prison, cult prison. Britney Spears

1092
01:00:41,760 --> 01:00:45,080
Speaker 1: was saved by young Love. She's thirty six, her boyfriend

1093
01:00:45,160 --> 01:00:50,320
Speaker 1: is twenty four of Persian heritage, so exotic, it's like

1094
01:00:50,440 --> 01:00:56,840
Speaker 1: a plant. Uh, Sharina has been wonderful having you on

1095
01:00:57,040 --> 01:01:02,320
Speaker 1: the day. I'm disappointed in my performance, honest, stop immigrant

1096
01:01:02,400 --> 01:01:08,440
Speaker 1: kid attitude. It is very immigrant kid. Yeah, like no,

1097
01:01:09,160 --> 01:01:10,560
Speaker 1: I could have had could I could have got a

1098
01:01:10,680 --> 01:01:14,880
Speaker 1: hundred five percent on that test. That's a credit. Where

1099
01:01:14,920 --> 01:01:17,560
Speaker 1: can people find you? Uh? Well, if you want to

1100
01:01:17,640 --> 01:01:20,960
Speaker 1: follow our podcast that I have with Anna, it's ethnically

1101
01:01:20,960 --> 01:01:24,720
Speaker 1: ambiguous on Facebook and on the House of Works network

1102
01:01:25,040 --> 01:01:28,880
Speaker 1: ethnically and on Twitter a m B and then on

1103
01:01:29,040 --> 01:01:31,520
Speaker 1: Instagram is ethnically in big a m B, I G

1104
01:01:31,840 --> 01:01:35,240
Speaker 1: and me. I'm Sharene Lenny Units and I'm on Instagram

1105
01:01:35,360 --> 01:01:39,440
Speaker 1: shiro hero h e e r o h e r

1106
01:01:39,520 --> 01:01:42,200
Speaker 1: oh and on Twitter because shiro hero was taken and

1107
01:01:42,240 --> 01:01:43,800
Speaker 1: I'm still trying to get that user name because i

1108
01:01:43,880 --> 01:01:46,240
Speaker 1: would love to have the match one day. I'm on

1109
01:01:46,320 --> 01:01:49,240
Speaker 1: Twitter at sharine y Sharene s h e r e

1110
01:01:49,520 --> 01:01:52,080
Speaker 1: n w h y. There you go and tell us

1111
01:01:52,080 --> 01:01:55,680
Speaker 1: about your short film. Yeah, um, okay, so you had

1112
01:01:55,720 --> 01:01:59,200
Speaker 1: a shar film almost two years ago, now, uh in

1113
01:02:00,600 --> 01:02:03,040
Speaker 1: And I sounded for a long time because I did

1114
01:02:03,080 --> 01:02:09,280
Speaker 1: not like it because I'm my worst critic, um and yeah,

1115
01:02:09,360 --> 01:02:11,600
Speaker 1: and so I didn't do anything with it for a

1116
01:02:11,640 --> 01:02:14,080
Speaker 1: long time. And then on a whim, I submitted to

1117
01:02:14,120 --> 01:02:17,000
Speaker 1: this website called No Budge, which is curated by this

1118
01:02:17,360 --> 01:02:21,560
Speaker 1: in D filmmaker Kentucker oddly, who I really respect, and um,

1119
01:02:21,840 --> 01:02:25,160
Speaker 1: he wanted to premiere online on his website and so

1120
01:02:25,600 --> 01:02:28,040
Speaker 1: that happened, and so I like made that connection. And

1121
01:02:28,120 --> 01:02:31,240
Speaker 1: then he was curating a exhibition at the moment and

1122
01:02:31,280 --> 01:02:34,840
Speaker 1: association with this organization called the Future of Film Is Female,

1123
01:02:35,320 --> 01:02:37,280
Speaker 1: and so I was part of a shorts block that

1124
01:02:37,440 --> 01:02:40,720
Speaker 1: premiered at the moment New York, part of the exhibition,

1125
01:02:41,080 --> 01:02:43,000
Speaker 1: and um, that was the first time I had ever

1126
01:02:43,040 --> 01:02:45,840
Speaker 1: screened the film at like ever and it was really cool. Yeah,

1127
01:02:45,920 --> 01:02:50,360
Speaker 1: well congrats, thanks. It was a moment at the moment.

1128
01:02:50,440 --> 01:02:52,800
Speaker 1: It was surreal. It was very surreal. But I felt

1129
01:02:52,800 --> 01:02:55,160
Speaker 1: really lucky and I was with a really good company.

1130
01:02:55,640 --> 01:02:57,840
Speaker 1: And I mean, some people wait a lifetime for a

1131
01:02:57,960 --> 01:03:02,160
Speaker 1: moment like this, and that's my time. Guys don't even

1132
01:03:02,200 --> 01:03:05,320
Speaker 1: need to tell you what the best in the business

1133
01:03:05,400 --> 01:03:09,760
Speaker 1: for nothing. And I'm cringing in my own skin. Miles, Yeah,

1134
01:03:10,480 --> 01:03:12,400
Speaker 1: oh you gotta tweet you like, oh yeah, do you

1135
01:03:12,440 --> 01:03:15,320
Speaker 1: have a tweet? Yeah? Actually, okay, there were three that

1136
01:03:15,400 --> 01:03:18,160
Speaker 1: I couldn't decide from. I'm trying to decide right now. Um,

1137
01:03:19,200 --> 01:03:21,240
Speaker 1: but the first one, I'm just because we're on this

1138
01:03:21,360 --> 01:03:25,800
Speaker 1: puzzle theme. Britt Bennett tweeted, nineties TV shows made me

1139
01:03:25,880 --> 01:03:27,960
Speaker 1: think the obstacle course it would be a more important

1140
01:03:28,040 --> 01:03:31,040
Speaker 1: part of my adult life. And I agree with that.

1141
01:03:31,360 --> 01:03:35,120
Speaker 1: I agree with that. Yeah, you do, you have two

1142
01:03:35,160 --> 01:03:39,200
Speaker 1: others that you want to share? I'm allowed. Okay, the

1143
01:03:39,320 --> 01:03:41,640
Speaker 1: next one. I think you might have liked this or

1144
01:03:41,720 --> 01:03:48,560
Speaker 1: we tweeted this, Miles. But Jess Dweck, she tweeted this quote. Um,

1145
01:03:48,680 --> 01:03:51,760
Speaker 1: that just says. According to his first wife, Evanna, Donald

1146
01:03:51,800 --> 01:03:54,520
Speaker 1: Trump has never was never keen on bequee think his

1147
01:03:54,640 --> 01:03:57,520
Speaker 1: name to anybody. Um, it was Avanna who wanted to

1148
01:03:57,600 --> 01:04:00,640
Speaker 1: call their newborn son Donald Jr. You can't do, Trump said,

1149
01:04:00,680 --> 01:04:04,040
Speaker 1: And Ivane's wenmir raising Trump. What if he's a loser.

1150
01:04:04,120 --> 01:04:10,080
Speaker 1: And there's a picture of Donald Trump Jr. Just looking like,

1151
01:04:10,160 --> 01:04:12,120
Speaker 1: what if he's a loser? And then it's just like

1152
01:04:12,280 --> 01:04:14,800
Speaker 1: him like looking down on his phone. I don't know,

1153
01:04:15,000 --> 01:04:17,200
Speaker 1: you haven't failed as a parent if you're concern is

1154
01:04:17,320 --> 01:04:21,080
Speaker 1: what if he's a loser? Like, wow, look at how

1155
01:04:21,160 --> 01:04:22,960
Speaker 1: you look at the My final tweet that I like

1156
01:04:23,040 --> 01:04:25,600
Speaker 1: it is from Ria Butcher and it was from last week.

1157
01:04:25,640 --> 01:04:28,560
Speaker 1: I don't know from whatever this August two. But she says,

1158
01:04:28,640 --> 01:04:31,720
Speaker 1: my god, someone's saying, quote white people is not racism.

1159
01:04:31,800 --> 01:04:34,480
Speaker 1: It's removing your perceived neutrality as a white person that

1160
01:04:34,560 --> 01:04:38,040
Speaker 1: feels bad to you. And that's just like and that's

1161
01:04:38,040 --> 01:04:42,560
Speaker 1: the truth. That's the truth. Yeah, yes, where can people

1162
01:04:42,560 --> 01:04:44,280
Speaker 1: find you? If you can find me at Miles Gray

1163
01:04:44,440 --> 01:04:48,520
Speaker 1: on Twitter and Instagram and tweet that I like, I mean,

1164
01:04:48,680 --> 01:04:51,800
Speaker 1: I'm just a sucker for reductor sadlines and tweets. This

1165
01:04:51,960 --> 01:04:54,640
Speaker 1: one is five pixie cuts that say I'm fun and

1166
01:04:54,760 --> 01:05:01,320
Speaker 1: sexy and I still shoplift from Claire's. That's great. I

1167
01:05:01,440 --> 01:05:04,040
Speaker 1: used to stop lit from Claire's Magnetic hearings because my

1168
01:05:04,080 --> 01:05:06,840
Speaker 1: mom would live in my ear fears. Yep, we have

1169
01:05:06,960 --> 01:05:13,840
Speaker 1: to did you quote a Jess Quick tweet? Yeah, she's

1170
01:05:13,840 --> 01:05:19,080
Speaker 1: gonna get it to first respect your twick uh Uh,

1171
01:05:19,520 --> 01:05:23,479
Speaker 1: she tweeted, also a reality TV villain and a slip

1172
01:05:23,560 --> 01:05:26,240
Speaker 1: and fall lawyer figured out how to record Trump without

1173
01:05:26,320 --> 01:05:28,920
Speaker 1: him knowing. But I'm sure he outfoxed all those former

1174
01:05:29,040 --> 01:05:32,760
Speaker 1: KGB guys uh, which pretty true. You can follow me

1175
01:05:32,840 --> 01:05:35,320
Speaker 1: on Twitter at Jack Underscore Old Brian. You can follow

1176
01:05:35,480 --> 01:05:38,080
Speaker 1: us at Daily Zeitgeist on Twitter. Where at the Daily

1177
01:05:38,160 --> 01:05:40,720
Speaker 1: Zeitgeist on the Instagram. We have a Facebook pam page

1178
01:05:40,800 --> 01:05:45,280
Speaker 1: and a website Kailey Zygeis dot com. Uh we post her,

1179
01:05:45,640 --> 01:05:49,320
Speaker 1: but nobody there as well as in the description of

1180
01:05:49,440 --> 01:05:51,360
Speaker 1: this episode, if you just click on the little I

1181
01:05:51,880 --> 01:05:56,480
Speaker 1: or the information wherever you listen on whatever application you

1182
01:05:56,640 --> 01:05:59,400
Speaker 1: used to listen to podcasts, you will find those. That's

1183
01:05:59,400 --> 01:06:01,520
Speaker 1: where we link off to the information that we talked

1184
01:06:01,520 --> 01:06:04,360
Speaker 1: about in today's show, as well as the song that

1185
01:06:04,720 --> 01:06:07,160
Speaker 1: we ride out on. Okay, I was just think because

1186
01:06:07,160 --> 01:06:09,440
Speaker 1: we're talking about Hey y'ah, I don't want to play

1187
01:06:09,480 --> 01:06:10,960
Speaker 1: Hey y'all, but I want to play a cover of

1188
01:06:11,040 --> 01:06:14,200
Speaker 1: it by come Out. That's really good. That's very different,

1189
01:06:14,320 --> 01:06:17,080
Speaker 1: like a little rework and interpretation of the song. That

1190
01:06:17,760 --> 01:06:20,840
Speaker 1: was really interesting. Now they have a version on like

1191
01:06:21,360 --> 01:06:24,320
Speaker 1: streaming services that's like our studio version, but I find

1192
01:06:24,360 --> 01:06:26,280
Speaker 1: the live version to be much better. So that's gonna

1193
01:06:26,280 --> 01:06:29,600
Speaker 1: be a YouTube video. But this is com out. Hey, yeah,

1194
01:06:30,120 --> 01:06:32,840
Speaker 1: all right, we're gonna ride out on that. We'll be

1195
01:06:33,000 --> 01:06:40,840
Speaker 1: back on Monday. Talk to you guys then by shut shuck, okay,

1196
01:06:51,800 --> 01:07:05,040
Speaker 1: do that? Yeah, my baby, don't mess around because he

1197
01:07:05,160 --> 01:07:11,200
Speaker 1: loves me so and that's I know for sure. What

1198
01:07:11,560 --> 01:07:14,520
Speaker 1: does she really want to against? Stand to see me

1199
01:07:14,680 --> 01:07:20,520
Speaker 1: walk out of the door? Oh oh, don't try to

1200
01:07:20,680 --> 01:07:23,680
Speaker 1: fight the feeling because the third alone is killing me

1201
01:07:23,960 --> 01:07:30,200
Speaker 1: right now? Yeah, thank god for mom and dads, which

1202
01:07:30,240 --> 01:07:35,360
Speaker 1: they can do together because we don't know how ow. Yeah,

1203
01:07:41,360 --> 01:07:55,200
Speaker 1: do you think you got it? Oh? You think you

1204
01:07:55,280 --> 01:07:57,120
Speaker 1: got it? I got it? Just don't get it when

1205
01:07:57,160 --> 01:08:03,920
Speaker 1: there's nothing at all? We get together, Oh, we get together.

1206
01:08:04,240 --> 01:08:08,439
Speaker 1: The sex is always better when it's really fit. Oh yeah,

1207
01:08:10,160 --> 01:08:14,040
Speaker 1: if what they say he is and what makes school makes?

1208
01:08:14,200 --> 01:08:19,000
Speaker 1: Who makes? Who makes school makes? Makes it? So? Why

1209
01:08:19,000 --> 01:08:20,840
Speaker 1: are you are you? Why are you? While you are?

1210
01:08:20,880 --> 01:08:23,120
Speaker 1: You are were soking? Deny you if you're know? We're

1211
01:08:23,160 --> 01:08:46,920
Speaker 1: not happy here. She lives in my nat but who

1212
01:08:47,120 --> 01:08:58,720
Speaker 1: lives in my heart lives and is alone survives? Who

1213
01:08:58,760 --> 01:09:10,400
Speaker 1: do is in becosing paper. We rose like a rusal

1214
01:09:10,439 --> 01:09:13,400
Speaker 1: Mis store under fluorescent lake love Lake splash in the

1215
01:09:13,479 --> 01:09:16,080
Speaker 1: water and we thought it was a correlates or when

1216
01:09:16,120 --> 01:09:18,519
Speaker 1: the throat and forgive it for you. Before he was

1217
01:09:18,560 --> 01:09:21,360
Speaker 1: dead from the golden freaking something the Boches confused for

1218
01:09:21,520 --> 01:09:24,240
Speaker 1: miss you talk. We jumped into the ocean without learning

1219
01:09:24,320 --> 01:09:42,760
Speaker 1: how to flow hosing. Loozy lousy looks right, wh