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Speaker 1: Welcome to Who's With Me. I'm W. Kamau Bell.

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Speaker 2: This is episode 26. Today, the guest is Joshua Doss.

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Speaker 2: Joshua Doss is a pollster and a political strategist. I

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Speaker 2: know him best from just being on Instagram, talking about

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Speaker 2: the world, talking about race and racism, talking about media,

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Speaker 2: talking about, you know, American politics. He's got over a

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Speaker 2: million followers. You can follow him at Doss.Discourse on Instagram.

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Speaker 2: Super happy to meet him. Glad to sit down and

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Speaker 2: talk with him. Yeah, so we're going to talk about

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Speaker 2: the midterms and a lot more.

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Speaker 1: Whew, I'm tired. Anybody else tired?

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Speaker 2: Last week was a big week for America, and hopefully

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Speaker 2: a big week for the future of American democracy. I

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Speaker 2: am recording this on Monday after the midterms from last Tuesday.

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Speaker 2: Mississippi is still counting votes, so maybe you'll know by

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Speaker 2: the time you get this on Wednesday. Who knows?

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Speaker 1: I'm exhausted. Are you exhausted?

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Speaker 3: I mean.

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Speaker 1: Maybe it's a good kind of exhaustion. I think it's this.

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Speaker 2: It's the exhaustion of following everything going on in the

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Speaker 2: midterms and following election results in places you don't live

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Speaker 2: and never even heard of before, and suddenly you're obsessed

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Speaker 2: with counties around the country counting votes. A county you've

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Speaker 2: never heard of, never been to, never going to, but

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Speaker 2: you're like, come on, Massapequa County. I'm just making that up.

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Speaker 2: But yeah, so the exhaustion of paying attention to that,

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Speaker 2: the exhaustion of being excited by the blue tsunami, the

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Speaker 2: exhaustion by realizing that blue tsunami doesn't fix everything. Ice

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Speaker 2: is still out there. Teachers are still afraid to teach.

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Speaker 2: Over 300,000 black women are unemployed. Trans kids still can't

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Speaker 2: play sports the way that other kids can without fear

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Speaker 2: of retribution from nonsense. You know, groceries are high. Gas

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Speaker 2: prices are high. Housing prices are high. There's all the

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Speaker 2: regular things that happened before the blue tsunami that you're like, yay,

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Speaker 2: we had a blue tsunami.

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Speaker 1: But also, we still got a lot to figure out.

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Speaker 2: Also, Chuck Schumer and Akeem Jeffries are doing a victory

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Speaker 2: lap when it's like, is this really your victory, guys?

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Speaker 2: Is this really your, you know, much to talk about

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Speaker 2: in the upcoming.

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Speaker 1: Weeks.

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Speaker 2: This is the sort of the, I don't know, a

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Speaker 2: little bit of like, yay, but we're still at war

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Speaker 2: with Iran. We're still, you know, scheduled to be giving

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Speaker 2: Israel money for weapons for genocide. It's all, but it's,

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Speaker 2: but yay, we had a moment of like, Yay! So

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Speaker 2: I think it's important to celebrate the yay. I did

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Speaker 2: my election night coverage with Joy Reid on her show,

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Speaker 2: The Joy Reid Show, in conjunction with my friend, Pastor

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Speaker 2: Michael McBride. Pastor Mike and some of his folks at

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Speaker 2: Live Free are starting a new, like, you know, justice network,

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Speaker 2: a platform, black-led platform, justice.pixel.plus. We did the People's Desk

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Speaker 2: on election night, me and Joy Reid. Also that same

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Speaker 2: day as the midterm election before that, I had to go–

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Speaker 2: I read at three schools in Berkeley for the new book, Rock, Paper, Scissors, Cheese.

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Speaker 2: Me and Adam Mansback read at three different public schools

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Speaker 2: in Berkeley. And then we read at some public schools

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Speaker 2: in San Francisco a couple days later and read at

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Speaker 2: my kid's school tomorrow. Yeah, so we are out here

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Speaker 2: promoting the book. So, you know, there's your regular life

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Speaker 2: that is probably busy. And then there's the dealing with

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Speaker 2: midterm elections issue. And following every story about that, that

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Speaker 2: makes you feel extra stressed out or happy, but also

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Speaker 2: just adds more. So yeah, I'm tired. Anyway, but don't

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Speaker 2: worry about that. This weekend, I'll be at the Facing

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Speaker 2: Race Conference this Saturday. I believe it is November 13th.

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Speaker 2: I'll be at the Facing Race Conference in Raleigh, North Carolina.

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Speaker 2: I started my political sort of commentary career at Facing Race.

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Speaker 2: I used to do stand-up. I did stand-up there years ago.

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Speaker 2: I think it was in Chicago. But yeah, so I'm

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Speaker 2: back at Facing Race now. It's weird to think about

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Speaker 2: it when facing races on my calendar, I started being

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Speaker 2: after the midterms and I was like, oh, that's going

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Speaker 2: to be a lot with everything going on. But I

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Speaker 2: think there'll be a little bit of lightness in the room,

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Speaker 2: but also these are the people who know you need

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Speaker 2: to do the work. You can't just celebrate a victory.

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Speaker 2: You need to do the work. So yeah, a lot

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Speaker 2: of exciting things come out of the midterm victories. Texas

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Speaker 2: turned blue. They got a blue governor, Gina Hinojosa. And

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Speaker 2: then we got James Tallarico in Texas. So Texas is

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Speaker 2: blue now. Who knew that was coming? And you know, uh,

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Speaker 2: we got, uh, Abdullah Syed won in Michigan. Keisha Lance

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Speaker 2: Bottoms is an upcoming governor from Georgia.

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Speaker 3: Yeah.

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Speaker 1: So there's, you know, there's some victories all over the country.

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Speaker 2: One of my favorite ones is a woman named Lakeisha

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Speaker 2: Womack out of North Carolina. She won her congressional seat,

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Speaker 2: a black woman who raised $ 56, 000. That's all she could

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Speaker 2: raise for her congressional seat in North Carolina. And she

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Speaker 2: beat like a Republican who's one of those powerful Republicans

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Speaker 2: in the state. Here's where Republicans screwed up. So after

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Speaker 2: the Supreme Court gutted the Voting Rights Act, a lot

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Speaker 2: of Republicans around the country in political positions, went around

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Speaker 2: to redraw their districts to make sure that Republicans, make

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Speaker 2: sure in scare quotes, had easier wins and there were

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Speaker 2: more Republican districts. And then California, Gavin Newsom redrew some

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Speaker 2: of our districts so we had some more Democratic districts

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Speaker 2: to sort of match what they were doing. But here's

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Speaker 2: what Republicans did wrong, because racists are stupid. They redid

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Speaker 2: some of those districts, but they did it like out

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Speaker 2: in public where everybody could see it and they bragged

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Speaker 2: about it. And so what they did is they fired

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Speaker 2: up Democrats in those districts and pissed off some Republicans

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Speaker 2: because they were just like, we're going to actively cheat

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Speaker 2: in public now that we can, thanks to the Supreme

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Speaker 2: Court gutting the Voting Rights Act.

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Speaker 1: And then it fired up some people to run against Republicans.

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Speaker 2: And many, many, many Republicans who had their districts redrawn,

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Speaker 2: many districts that were won by Trump by double-digit margins,

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Speaker 2: lost to Democrats.

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Speaker 1: That's one of the big stories that comes out of that.

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Speaker 1: That many.

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Speaker 2: Republicans who had their districts redrawn. And this guy who

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Speaker 2: ran against Lakeisha Womack in North Carolina, he was in

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Speaker 2: charge of redrawing the district lines. He redrew his own district.

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Speaker 2: And Lakeisha Womack, a black woman in North Carolina, beat

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Speaker 2: him with $ 56, 000 when he had raised $ 2 million. So

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Speaker 2: we definitely need to get money out of politics. There's

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Speaker 2: no question. But it is great to see that money

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Speaker 2: is not the be-all, end-all. As Elon Musk found out,

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Speaker 2: spending over $ 424 million and Most of that he threw

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Speaker 2: down the toilet because most people he backed did not win,

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Speaker 2: including Greg Abbott in Texas and Ken Paxton in Texas.

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Speaker 2: And then Elon's stock prices dropped. And then he announced,

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Speaker 2: Tesla announced they were ending production of the Cybertruck. Rest

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Speaker 2: in peace, cars look like toasters. But again, this is

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Speaker 2: not everything. This is just part of it. I actually

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Speaker 2: wrote my top 10 favorite takeaways from the midterm from

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Speaker 2: the loose tsunami. It's on my sub stack. You can

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Speaker 2: put the link in the chat. Yeah, so you can

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Speaker 2: check out what I thought, more of my thoughts on that.

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Speaker 2: But yeah, I think the too long, didn't read is like, yay,

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Speaker 2: a lot of Democrats won. But also there's more work

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Speaker 2: to do. Also, not all those Democrats are the Democrats

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Speaker 2: we want them to be. A lot of them are

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Speaker 2: taking money from people we don't want them to take

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Speaker 2: money from or don't have the exact right politics around issues.

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Speaker 2: But it is still better. The power is better than

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Speaker 2: their hands than it is in the hands of MAGA,

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Speaker 2: of the fascist MAGA. So we just have to Be

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Speaker 2: prepared to hold these people to account and push them

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Speaker 2: to make the correct decisions in ways that MAGA is

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Speaker 2: invulnerable to logic or peer pressure. So there you go.

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Speaker 1: The other big.

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Speaker 2: News that I feel sort of I have to mention,

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Speaker 2: because I often position myself as the sheriff of comedy,

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Speaker 2: is Russell Brand is going to prison for 10 and

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Speaker 2: a half years. I don't know if he's going to

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Speaker 2: serve the whole sentence, but he's been sentenced to 10

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Speaker 2: and a half years in prison in England for rape.

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Speaker 2: And also, even though he's been sentenced for those charges,

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Speaker 2: Apparently they're investigating more rape cases against him. So there

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Speaker 2: may be more time added to that, but in the

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Speaker 2: midst of Cornell seven, which we haven't, which we're not

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Speaker 2: talking about really anymore in the news cycle in the

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Speaker 2: midst of the young woman who was raped at Louisiana

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Speaker 2: state university by an athlete who had to sort of

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Speaker 2: out herself on Tik TOK because she felt like the

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Speaker 2: university wasn't doing enough.

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Speaker 1: This is a part of that.

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Speaker 2: And these charges were all in England, but he's also

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Speaker 2: certainly a big comedy star in America. And I'm sure

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Speaker 2: there's some, some dirt can come out in America. It's just,

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Speaker 2: it's interesting to watch because, you know, I'm not, England

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Speaker 2: and America are often sort of doing the same thing,

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Speaker 2: the same dance at the same time. So you can't go,

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Speaker 2: this is better than this. But, and if you have chance,

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Speaker 2: watch the sentencing of Russell by this very sort of like,

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Speaker 2: you know, this very English British judge, old white man

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Speaker 2: who's literally wearing the white wig like they do over there.

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Speaker 2: I met Russell Brand once. This is story time. So

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Speaker 2: my first big break in show business, as I've talked

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Speaker 2: about over the course of this podcast several times, is

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Speaker 2: this show Totally Biased. It was on the FX network,

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Speaker 2: and this was back when the FX network was the

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Speaker 2: FX network. They were FXing all over the place.

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Speaker 1: This was during the heyday of Louie, Louie, Louie, Louie,

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Speaker 1: another famous sexual assaulter.

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Speaker 2: I'm not laughing about that, just the irony. But yeah,

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Speaker 2: so Louis C.K. was the big wig of the network.

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Speaker 2: They were trying to sort of double down on comedy.

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Speaker 2: They were sort of like, maybe we'd be the comedy network,

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Speaker 2: because FX is known for a lot of things. And

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Speaker 2: so they brought me and Russell in both to host

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Speaker 2: late-night talk shows on FX. Russell's was initially just going

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Speaker 2: to be him, I think, monologuing for a half hour,

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Speaker 2: about once a week to talk about the world. And

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Speaker 2: mine was more of a sort of a daily show-style

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Speaker 2: traditional talk show. I don't know what the pitch was,

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Speaker 2: but it was based on my solo show, The Debbie

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Speaker 2: Kamau Bell Curve, Ending Racism, at about an hour. So

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Speaker 2: it was going to be very like, about very issue

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Speaker 2: forward we weren't on the air i don't think we

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Speaker 2: ever maybe we overlapped a little bit but it was

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Speaker 2: like a season of russell and then i was the

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Speaker 2: following season maybe we overlapped one night but we were

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Speaker 2: both were brought out to the upfronts in la uh

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Speaker 2: which is the big advertising showcase for the networks so

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Speaker 2: they bring out whatever the new shiny things are they

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Speaker 2: bring them out to the upfronts or even the old

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Speaker 2: shiny things so i was brought out to la it's

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Speaker 2: the first time I've ever done that, where you go

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Speaker 2: to sit in a room among the advertisers and they

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Speaker 2: ask you questions if they care. And if they don't

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Speaker 2: care that you sit there while they don't ask you

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Speaker 2: questions at the time, they cared a little bit. So

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Speaker 2: they asked me some questions. Also, again, my show was

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Speaker 2: produced by Chris Rock, who was also there. So I

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Speaker 2: think mostly just ask Chris Rock questions. Russell's panel was

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Speaker 2: on right before my panel. And so backstage, we sort

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Speaker 2: of came across each other. And again, we hadn't met before,

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Speaker 2: but there was a lot of press around. Russell Brand,

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Speaker 2: this famous British comedian, and W. Campbell, this black guy

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Speaker 2: who Chris Rock is putting on television, which is basically

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Speaker 2: what happened. And so backstage, I was sort of waiting

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Speaker 2: to go on, and Russell comes offstage, and he walks

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Speaker 2: right up to me, and he sort of stands inches

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Speaker 2: from my face to look at me, clearly sizing me up.

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Speaker 2: And I think literally sizing me up, because Russell Brand

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Speaker 2: is over six feet tall, but then so am I.

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Speaker 2: So I think there's a little bit like, oh, wait

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Speaker 2: a minute. I can't size this guy up the way

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Speaker 2: I normally size people up because he's the same height

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Speaker 2: as I am.

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Speaker 1: I remember he had no shoes on.

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Speaker 2: He was very like Russell Brandy t-shirt, lots of beads

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Speaker 2: and tight pants and no shoes. And at that moment,

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Speaker 2: I felt like he's trying to either intimidate me or

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Speaker 2: enthrall me. And I was like too nervous to either

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Speaker 2: have time for either. I was like, I got to

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Speaker 2: go out there and sell this thing. And also just

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Speaker 2: not interested in being intimidated or enthralled. But that's my

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Speaker 2: memory of Russell Brand is like he really was trying

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Speaker 2: to like in some way dominate me by stepping right

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Speaker 2: up to my face and look. I think he wanted

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Speaker 2: to look down on me, but he's probably looking up

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Speaker 2: because I think I might be taller than him. But anyway,

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Speaker 2: I'm not shorter than him in sort of any grand way.

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Speaker 1: And I always remember that story.

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Speaker 2: So whenever Russell Brand comes up and you can see

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Speaker 2: him in the news and the press, he's definitely trying

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Speaker 2: to pull a whole like Svengali thing, like some sort

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Speaker 2: of Rasputin thing where he finds himself very– he needs

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Speaker 2: to dominate the scene. And so I had not heard

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Speaker 2: that he was a rapist in any sort of way,

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Speaker 2: the way that I certainly heard that Louis C.K. was

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Speaker 2: masturbating in front of people at the time and just

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Speaker 2: didn't know what to do with that information. But having

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Speaker 2: been around him that one time and also having sort

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Speaker 2: of connected that to how I see him acting in

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Speaker 2: the world, none of this is that surprising to me.

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Speaker 2: And I'm just glad for the survivors that they are

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Speaker 2: finding some measure of justice and hope that the other

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Speaker 2: ones who come forward also find their measure of justice.

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Speaker 2: But it's also good to see We really, the criminal

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Speaker 2: justice system, and this is true in the UK too,

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Speaker 2: does not do a good job of bringing men to

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Speaker 2: account for sexual assault and rape. So when you see

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Speaker 2: a white privileged man like Russell Brand being brought to

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Speaker 2: account for that, it's just like a win for justice.

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Speaker 2: Not that it takes away the harm that they did.

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Speaker 2: But anyway, that's a lot. Midterms and Russell Brand. That's

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Speaker 2: what this is going to be called. Anyway, today's episode

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Speaker 2: is with Joshua Doss. Joshua Doss is a political strategist.

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Speaker 2: He's an actual pollster. He's a person who actually does

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Speaker 2: the polls. He works for Hit Strategies. He's based out

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Speaker 2: of Chicago. We talk about he didn't know where I

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Speaker 2: was from, so I didn't tell my story, which you

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Speaker 2: may have heard before, but he's based out of Chicago,

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Speaker 2: born and raised. I know him as somebody that comes

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Speaker 2: across your algorithm either explaining a complicated situation, because we

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Speaker 2: talk about his big brain, I thought he had a master's,

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Speaker 2: but he doesn't have a master's. But he explains complicated situations.

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Speaker 2: He's a black man. He's got great race politics and

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Speaker 2: great just American politics and really knows how to break

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Speaker 2: situations down. So I started following him on Instagram doing that.

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Speaker 2: And then he sort of bubbled up enough that he

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Speaker 2: was like on the panels on CNN, like, you know,

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Speaker 2: sitting in those CNN hot seats where you're next to

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Speaker 2: a Republican or a fascist or a Republican fascist. And

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Speaker 2: you have to sort of go toe to toe. And

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Speaker 2: he does very well going toe to toe. And he

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Speaker 2: shows up where he's invited. Like, he's been on Chris

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Speaker 2: Cuomo's podcast. He's been on Stephen A. Smith's podcast. So

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Speaker 2: he doesn't mind holding people's feet to the fire. He

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Speaker 2: has a great– he did a great job on Chris

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Speaker 2: Cuomo's podcast holding Cuomo's feet to the fire in a

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Speaker 2: way that Cuomo had to be like, maybe. So, yeah,

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Speaker 2: he's just great. Joshua Dawson. As my hair gets grayer,

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Speaker 2: I'm really seeing this next generation come up, and I'm like, man.

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Speaker 2: They're doing it better than I could. I didn't know

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Speaker 2: what I was doing at that point. I was just

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Speaker 2: trying to be a comedian, but they are really coming through.

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Speaker 2: I mean, also, don't be a comedian, I guess, is

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Speaker 2: the other information there. Yeah, so Joshua Dosh. We talk

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Speaker 2: about the midterms. We also just talk about America in general.

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Speaker 2: We get into a lot of different subjects. He's a

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Speaker 2: great conversationalist. Please follow him on his platform. We also

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Speaker 2: might know him as Doss Discourse. You can follow him

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Speaker 2: on Instagram. Yeah, so great conversation coming up. Please enjoy it.

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Speaker 2: Thank you. Hey, thanks for watching an episode of Who's

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Speaker 2: With Me. If you're on YouTube, please like and subscribe, share,

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Speaker 2: hit that hype button. I hear it makes all the difference.

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Speaker 2: Please like, subscribe, share, hit the hype button. Thank you.

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Speaker 1: Welcome, Joshua Doss.

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Speaker 2: How you doing?

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Speaker 1: Is it Joshua or Josh? Which way do I go?

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Speaker 3: Either one's fine. I think My friends actually call me Doss.

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Speaker 2: Oh, there we go.

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Speaker 3: But, you know, either one's fine.

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Speaker 2: Well, by the end, you let me know if I

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Speaker 2: can call you Doss, but I'll call you Joshua for now.

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Speaker 1: Sounds good.

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Speaker 2: Yeah, but let me know. I'm going to check in,

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Speaker 2: and it's fine if you... I know you don't mind

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Speaker 2: reading people and telling them the truth, so you'll let

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Speaker 2: me know.

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Speaker 3: Okay. I'm curious as to why you said that, but

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Speaker 3: I'll let you know. No, no, no, no.

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Speaker 2: This is... Be clear. This is not a setup. This

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Speaker 2: is not a... I've got a dossier. I have... So

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Speaker 2: I started a podcast by giving people their flowers. So

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Speaker 2: let's segue into that much quicker than I was going to.

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Speaker 2: I only have people on my podcast who I have

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Speaker 2: the utmost respect for or have personal connections to. So

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Speaker 2: this is the first time I think we've ever talked

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Speaker 2: in real, you know, in real life other than maybe

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Speaker 2: comments online. Yes. Yeah, so let me start by saying

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Speaker 2: I have the utmost respect for you and what you're doing.

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Speaker 2: You came across my feed on social media, obviously on Instagram,

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Speaker 2: with those videos where it looked like there were.

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Speaker 1: Stairs behind you. Is that what was behind you?

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Speaker 3: Yeah, my old apartment. Rest in peace.

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Speaker 1: Rest in peace.

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Speaker 3: I got kicked out of there.

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Speaker 1: Oh, wow. For your opinions or for something else?

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Speaker 2: Oh, okay.

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Speaker 3: That's my theory because there was no other reason. But,

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Speaker 3: you know, that's why that ends well.

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Speaker 1: Well, that's good.

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Speaker 2: Well, so anyway, it was a compelling shot and it's

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Speaker 2: sort of like DIY-ness. I always think it's cool when

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Speaker 2: you can find a shot that's like, ooh, that looks interesting,

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Speaker 2: even though it's probably just the stairs back there. So

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Speaker 2: first of all, flowers for composing social media content well.

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Speaker 2: But also just for your very clear-headed, clear-minded, but also

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Speaker 2: the hardest part to be there is entertaining and you

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Speaker 2: don't seem to have a problem doing that. And I

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Speaker 2: just very quickly, after watching probably two or three videos

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Speaker 2: after they entered my algorithm, I was like, oh, okay,

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Speaker 2: I got to follow this person now. New person to follow.

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Speaker 2: So thank you for the work you are putting out

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Speaker 2: in the world.

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Speaker 3: I appreciate that, man. Yeah, I am a very big

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Speaker 3: fan of yours and all the work that you've put

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Speaker 3: out as well. So excited to have the conversation with you.

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Speaker 2: Yeah, thank you. I appreciate that too. So yeah, just

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Speaker 2: to double back, this was not like, and now here's

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Speaker 2: the other part. This is not the compliment sandwich of

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Speaker 2: like another shitty thing. No, it's going to be all

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Speaker 2: compliment sandwiches. The other thing you do that I really

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Speaker 2: steer clear of, even though people think I'm sort of

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Speaker 2: anxious to get into confrontations is, you know, you show

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Speaker 2: up places with people who disagree with you, which maybe

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Speaker 2: you thought we were going to do today, but we're

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Speaker 2: not going to do.

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Speaker 1: And you don't mind mixing it up.

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Speaker 2: And, you know, and even, even with the most mixing

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Speaker 2: it up, mixing it up person out there, Stephen A. Smith. Yeah.

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Speaker 3: You know, I've said this a couple of times, like

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Speaker 3: Stephen A. kind of reminds me of a number of

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Speaker 3: my uncles for real. You know, I think like, I

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Speaker 3: think a lot of non-Black people maybe hear him and

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Speaker 3: they hear something different than what I hear, which is

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Speaker 3: somebody who I think, who I do think that Stephen

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Speaker 3: A has a number of good intentions. And I think

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Speaker 3: I deeply respect who he has been to the sports culture.

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Speaker 3: And I think he's wrong about a lot of things.

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Speaker 3: And so are all my, so are my uncles, you

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Speaker 3: know what I mean? And so I always, I wanted

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Speaker 3: to have that conversation with respect and just kind of

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Speaker 3: give him my perspective and push back where I felt,

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Speaker 3: you know, should be, you know, the place to push back.

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Speaker 2: So. I guess the question is, do you think you,

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Speaker 2: and you don't, it's no judgment either way. Do you

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Speaker 2: think you got him to think about things in any,

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Speaker 2: in any different way?

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Speaker 3: I don't know. I don't know.

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Speaker 2: You're not the first person to try to, to sort of,

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Speaker 2: hold him's feet to the fire, but I just wonder

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Speaker 2: what the results are.

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Speaker 3: He, I mean, he said on the show, he said

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Speaker 3: three times, I counted all three. He said, I never

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Speaker 3: thought about that that way, which made me feel good.

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Speaker 3: I'm like, okay, good. And you know, I do think

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Speaker 3: that it speaks to like how you talk to someone.

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Speaker 3: I think in political discourse, we're just ready for someone

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Speaker 3: to come after our character and our values. And I

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00:19:03,444 --> 00:19:06,834
Speaker 3: think he could feel that He's somebody I respect, you know,

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Speaker 3: like I'm not really trying to make you look bad, but,

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Speaker 3: you know, I have done some research and I want

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Speaker 3: to share that with you. And, you know, to your question,

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Speaker 3: I don't know if I got him to change his

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Speaker 3: mind on anything, mainly because afterwards he went back to

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Speaker 3: some of the same activities. But, you know, maybe it's

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Speaker 3: a seed. Maybe somebody will come and water the seed

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Speaker 3: and then maybe down the line we'll see the plant grow.

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Speaker 2: Yeah, I mean, I think that certainly, even having somebody go,

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Speaker 2: because I've certainly had that happen with people that I

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Speaker 2: talk to on camera.

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Speaker 3: Oh, that's a good point.

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Speaker 1: I never thought about that.

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Speaker 2: And I think I always know in that moment, you

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Speaker 2: may not change your mind, but maybe somebody who's watching

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Speaker 2: this who's not as invested in their ego as you are,

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Speaker 2: they may change their mind.

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Speaker 3: You know, I have enormous respect for Stephen A. I

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Speaker 3: have respect for Chris Cuomo. Other people have gone on

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Speaker 3: their platforms and disagreed. But I will say what you

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Speaker 3: just said there is is the real reason why I

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Speaker 3: want to go on those platforms. Like, you know, Stephen

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Speaker 3: A has an outstanding, like he's created this massive audience

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Speaker 3: of people who really trust him. And so maybe I

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Speaker 3: can't get Stephen A with this piece of logic or

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Speaker 3: that historical situation, but maybe someone who listens to him

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Speaker 3: will hear me and be like, I actually think that

428
00:20:18,754 --> 00:20:21,074
Speaker 3: Joshua made some sense there. And that's the reason why

429
00:20:21,094 --> 00:20:21,854
Speaker 3: I do it, you know?

430
00:20:22,254 --> 00:20:24,034
Speaker 1: Yeah, I used to hear that on my CNN show.

431
00:20:24,054 --> 00:20:25,704
Speaker 2: I used to get emails from people like, I'm a

432
00:20:25,724 --> 00:20:29,764
Speaker 2: 70-year-old conservative Republican, but you make some good points.

433
00:20:29,864 --> 00:20:31,524
Speaker 1: You know what I mean? Like, and you go, all right,

434
00:20:31,624 --> 00:20:32,744
Speaker 1: that's a start, you know?

435
00:20:33,224 --> 00:20:36,644
Speaker 3: Yeah, I mean, the way that you blend comedy with,

436
00:20:36,784 --> 00:20:41,054
Speaker 3: you know, your overall perspective of the world is really disarming.

437
00:20:41,394 --> 00:20:46,004
Speaker 3: And so I absolutely could see you breaking through some

438
00:20:46,024 --> 00:20:48,553
Speaker 3: walls that folks, because comedy does that, right? It just

439
00:20:48,594 --> 00:20:51,254
Speaker 3: gets people real relaxed and then you can kind of

440
00:20:51,294 --> 00:20:54,234
Speaker 3: have those authentic conversations. So yeah, I'm sure you get that.

441
00:20:54,654 --> 00:20:56,834
Speaker 2: Yeah, it can get people real relaxed or real riled

442
00:20:56,914 --> 00:20:59,314
Speaker 2: up depending upon which way you're aiming as we see

443
00:20:59,354 --> 00:21:01,924
Speaker 2: in the culture. I guess, not to make this the

444
00:21:01,964 --> 00:21:05,364
Speaker 2: Stephen A commentary show, to me, the thing with Stephen

445
00:21:05,384 --> 00:21:08,303
Speaker 2: A is that this happens to people of all, when

446
00:21:08,324 --> 00:21:10,344
Speaker 2: they achieve a certain level of privilege, it's just a thing.

447
00:21:10,384 --> 00:21:11,804
Speaker 2: I think, I don't know if it's an American thing,

448
00:21:11,824 --> 00:21:13,674
Speaker 2: but like if you're good in one thing and get

449
00:21:13,704 --> 00:21:15,734
Speaker 2: well paid for it, suddenly people around you tell you

450
00:21:15,754 --> 00:21:16,574
Speaker 2: you could do everything.

451
00:21:17,394 --> 00:21:17,734
Speaker 3: Yeah.

452
00:21:17,874 --> 00:21:19,274
Speaker 2: And it seems to me that Stephen A, because I

453
00:21:19,274 --> 00:21:20,454
Speaker 2: don't know if you remember, there's a point in which

454
00:21:20,494 --> 00:21:23,094
Speaker 2: Stephen A, when he got big at ESPN, suddenly his

455
00:21:23,134 --> 00:21:25,014
Speaker 2: goal was to be a late night talk show host.

456
00:21:25,354 --> 00:21:28,154
Speaker 2: He actually guest hosted a couple of versions of the Jimmy,

457
00:21:28,174 --> 00:21:29,974
Speaker 2: like he guest hosts for Jimmy Fallon at least once.

458
00:21:30,954 --> 00:21:32,194
Speaker 2: And at the time I was like, dude, I don't

459
00:21:32,214 --> 00:21:33,994
Speaker 2: think you're a talk show host. Like, no offense, but

460
00:21:34,254 --> 00:21:35,773
Speaker 2: I don't think you're a talk show host. And now

461
00:21:35,794 --> 00:21:37,214
Speaker 2: I look back and go, man, we should have just

462
00:21:37,234 --> 00:21:37,914
Speaker 2: gave him a talk show.

463
00:21:40,314 --> 00:21:42,034
Speaker 3: You know who I was thinking about when you said that?

464
00:21:42,174 --> 00:21:45,594
Speaker 3: I was thinking about Kanye. like someone who is is

465
00:21:45,674 --> 00:21:48,834
Speaker 3: truly brilliant when it comes to music and then he's

466
00:21:48,874 --> 00:21:51,674
Speaker 3: like i could do all these other things and it's

467
00:21:51,714 --> 00:21:54,434
Speaker 3: like you can't do some of these other things like

468
00:21:54,454 --> 00:21:55,734
Speaker 3: you but you're really good at.

469
00:21:55,754 --> 00:21:58,234
Speaker 4: This you're a genius at this just be a genius

470
00:21:58,314 --> 00:22:00,944
Speaker 4: at this there's no need to be like you know

471
00:22:00,984 --> 00:22:03,364
Speaker 4: paul mccartney's not walking around being like you know also

472
00:22:03,384 --> 00:22:06,303
Speaker 4: it's like i'm a beetle i think that's generally that

473
00:22:06,324 --> 00:22:07,104
Speaker 4: seems to be enough.

474
00:22:07,224 --> 00:22:09,174
Speaker 3: Uh There's something to be said there, though, about I

475
00:22:09,554 --> 00:22:12,294
Speaker 3: think black men who from a really young age get

476
00:22:12,334 --> 00:22:14,444
Speaker 3: told that they won't be good at much of anything.

477
00:22:14,624 --> 00:22:14,824
Speaker 2: Yeah.

478
00:22:15,064 --> 00:22:17,364
Speaker 3: And so then you have a Stephen A. Smith or

479
00:22:17,504 --> 00:22:20,484
Speaker 3: Kanye West who maybe their original dream is to be

480
00:22:20,524 --> 00:22:23,924
Speaker 3: an artist or a sports commentary person. And then people

481
00:22:23,944 --> 00:22:26,244
Speaker 3: tell them that they can't do that. And so then

482
00:22:26,284 --> 00:22:29,964
Speaker 3: they do that and they've gotten really desensitized to hearing

483
00:22:29,984 --> 00:22:31,184
Speaker 3: that they're not good at something.

484
00:22:31,384 --> 00:22:31,624
Speaker 4: Right.

485
00:22:32,104 --> 00:22:34,444
Speaker 3: To get where they got, they had to ignore people.

486
00:22:34,594 --> 00:22:34,704
Speaker 2: Yep.

487
00:22:35,374 --> 00:22:38,354
Speaker 3: And so then Kanye takes that into fashion and then

488
00:22:38,374 --> 00:22:39,954
Speaker 3: he tries to take it into politics. And at some

489
00:22:39,974 --> 00:22:43,394
Speaker 3: point we're like, all right, it's done.

490
00:22:43,614 --> 00:22:46,834
Speaker 2: Then politics and fashion collide with a Confederate flag shirt.

491
00:22:46,854 --> 00:22:49,154
Speaker 1: And you're like, okay, man, this is, you've gone, yeah.

492
00:22:49,734 --> 00:22:51,874
Speaker 2: Yes, yes. The other thing I appreciate about you is

493
00:22:51,894 --> 00:22:54,774
Speaker 2: you have a big, well-researched, well-studied brain.

494
00:22:54,794 --> 00:22:56,134
Speaker 1: You have a master's in economics, right?

495
00:22:57,254 --> 00:22:59,994
Speaker 3: You know, in fact, I actually didn't finish my master's.

496
00:23:00,154 --> 00:23:05,074
Speaker 3: I was like, oh, OK. Thanks a lot, producers. But yeah,

497
00:23:05,174 --> 00:23:06,214
Speaker 3: I was like one class away.

498
00:23:06,474 --> 00:23:08,374
Speaker 2: I dropped out of college. I didn't even get to

499
00:23:08,454 --> 00:23:10,694
Speaker 2: drop out of master's or stop doing a master's. So

500
00:23:10,774 --> 00:23:14,964
Speaker 2: I understand. But college aside, you have a big brain,

501
00:23:14,984 --> 00:23:17,324
Speaker 2: a lot of wrinkles in that brain, which I appreciate.

502
00:23:17,344 --> 00:23:19,264
Speaker 1: So it means that you can have lots of conversations.

503
00:23:19,644 --> 00:23:21,064
Speaker 2: And so I feel like I can have conversations with

504
00:23:21,124 --> 00:23:23,544
Speaker 2: you that I feel like it's helpful for me.

505
00:23:23,584 --> 00:23:24,544
Speaker 1: I learn a lot from you.

506
00:23:25,454 --> 00:23:27,954
Speaker 2: And I think about American capitalism as being the ultimate

507
00:23:28,014 --> 00:23:28,974
Speaker 2: enemy of everything.

508
00:23:29,194 --> 00:23:31,434
Speaker 1: You know, like that. And racism is just, is one

509
00:23:31,454 --> 00:23:32,934
Speaker 1: of its tools, one of its main tools.

510
00:23:33,774 --> 00:23:35,994
Speaker 2: And it happens to everybody where they feel like, man,

511
00:23:36,094 --> 00:23:39,864
Speaker 2: I'm the highest paid person in my profession. I must

512
00:23:39,904 --> 00:23:42,144
Speaker 2: have to have ambition to do something else. I can't

513
00:23:42,184 --> 00:23:42,764
Speaker 2: just be this.

514
00:23:43,524 --> 00:23:44,164
Speaker 3: Yeah.

515
00:23:44,604 --> 00:23:46,664
Speaker 2: Like for some reason you can't, I mean, back in

516
00:23:46,684 --> 00:23:48,504
Speaker 2: the day, I think you'd be like, man, I'm the

517
00:23:48,544 --> 00:23:49,604
Speaker 2: highest paid person in my profession.

518
00:23:49,884 --> 00:23:50,424
Speaker 3: I won.

519
00:23:51,184 --> 00:23:51,584
Speaker 2: Yeah.

520
00:23:51,784 --> 00:23:53,964
Speaker 1: You know, or I have a good job. I won.

521
00:23:54,374 --> 00:23:57,513
Speaker 2: But we, that something about American capitalism says, then what

522
00:23:57,574 --> 00:23:58,344
Speaker 2: else do you want to win?

523
00:23:59,194 --> 00:24:03,744
Speaker 3: There is no, there's no like final door to greed. Like,

524
00:24:03,884 --> 00:24:07,344
Speaker 3: you know, and capitalism breeds a greed mentality. Like you

525
00:24:07,384 --> 00:24:11,564
Speaker 3: almost have to be greedy with your ambition to do

526
00:24:11,684 --> 00:24:14,784
Speaker 3: really well. There's, there's, there are exceptions of course, but

527
00:24:15,264 --> 00:24:17,824
Speaker 3: you know, enough, enough is never enough for he whom

528
00:24:17,904 --> 00:24:19,704
Speaker 3: enough is too little, you know?

529
00:24:19,724 --> 00:24:20,244
Speaker 1: Yeah.

530
00:24:20,394 --> 00:24:23,154
Speaker 3: So it's like, the system tells you that you need

531
00:24:23,194 --> 00:24:25,434
Speaker 3: more and more and more. And then, you know, people

532
00:24:25,474 --> 00:24:28,804
Speaker 3: go and they change their living conditions. Like one of

533
00:24:28,844 --> 00:24:30,804
Speaker 3: the reasons why Stephen A told me that he doesn't

534
00:24:30,824 --> 00:24:33,544
Speaker 3: want to run for president is because he's like, well,

535
00:24:33,564 --> 00:24:36,444
Speaker 3: I wouldn't make as much money. And I'm like, Trump

536
00:24:36,464 --> 00:24:38,944
Speaker 3: made $ 4 billion in the white house. So maybe that's

537
00:24:38,964 --> 00:24:42,174
Speaker 3: not even true, but that's interesting to me how you're like,

538
00:24:42,314 --> 00:24:46,294
Speaker 3: your ambition is even having friction with your greed in

539
00:24:46,314 --> 00:24:46,894
Speaker 3: that regard.

540
00:24:46,954 --> 00:24:49,414
Speaker 2: Yeah. Which is funny. It's like the fact that you,

541
00:24:50,544 --> 00:24:52,344
Speaker 2: that you're upset you can't make as much money as

542
00:24:52,364 --> 00:24:54,844
Speaker 2: you want to make when you're the president is actually

543
00:24:54,884 --> 00:24:57,144
Speaker 2: the proof you should absolutely not run for president.

544
00:24:57,624 --> 00:25:00,124
Speaker 3: Honestly, that's a really good point.

545
00:25:00,144 --> 00:25:02,544
Speaker 2: That's actually 100% the reason you shouldn't run for president.

546
00:25:02,724 --> 00:25:03,974
Speaker 2: It has nothing to do with you wanting to make

547
00:25:03,994 --> 00:25:05,454
Speaker 2: more money. It's the fact that you want to make

548
00:25:05,494 --> 00:25:08,114
Speaker 2: more money. That is the thing, that you should not

549
00:25:08,134 --> 00:25:09,614
Speaker 2: be in that office, which is what we're finding out now,

550
00:25:09,654 --> 00:25:11,154
Speaker 2: that when that office is filled with someone who just

551
00:25:11,174 --> 00:25:14,174
Speaker 2: cares about their own greed, it is bad for the world.

552
00:25:14,734 --> 00:25:17,094
Speaker 3: Yeah. So in a way, he did like a self.

553
00:25:18,974 --> 00:25:22,404
Speaker 3: Like a self-selecting exercise and pushed himself out, probably for

554
00:25:22,424 --> 00:25:25,804
Speaker 3: good reason, right?

555
00:25:26,064 --> 00:25:28,324
Speaker 2: I mean, I also think that somewhere behind the scenes,

556
00:25:28,344 --> 00:25:30,104
Speaker 2: because I think it's also like we talked about Kanye.

557
00:25:30,524 --> 00:25:32,784
Speaker 2: At some point, it seems like people don't have anybody

558
00:25:32,804 --> 00:25:35,244
Speaker 2: around them who can tell them no or who tells

559
00:25:35,264 --> 00:25:38,304
Speaker 2: them no that they trust. Yeah. Which I feel like

560
00:25:38,324 --> 00:25:40,284
Speaker 2: I'm always proud of the fact that I have any

561
00:25:40,324 --> 00:25:42,504
Speaker 2: number of friends who can be like, nuh-uh, nope, not that.

562
00:25:42,524 --> 00:25:46,494
Speaker 1: Yeah. And I'd be like, really? But I thought, nope, Kamau,

563
00:25:46,514 --> 00:25:46,904
Speaker 1: that ain't it.

564
00:25:47,054 --> 00:25:48,864
Speaker 2: And I think living in Oakland helps me because I'm

565
00:25:48,884 --> 00:25:52,804
Speaker 2: not in show business, in the center of show business.

566
00:25:53,004 --> 00:25:55,704
Speaker 2: And so I think that there's a thing that you

567
00:25:55,724 --> 00:25:58,264
Speaker 2: can tell when I see people make these decisions. Like

568
00:25:58,324 --> 00:26:01,174
Speaker 2: for me, if I went to my family and said,

569
00:26:01,314 --> 00:26:03,334
Speaker 2: I mean, things like this have happened on different levels.

570
00:26:03,634 --> 00:26:05,054
Speaker 2: But if I went to my wife and said, hey,

571
00:26:05,494 --> 00:26:07,254
Speaker 2: I got invited to go eat dinner at the White

572
00:26:07,294 --> 00:26:12,114
Speaker 2: House with Trump, Kid Rock, and Bill Maher. I wouldn't

573
00:26:12,134 --> 00:26:13,094
Speaker 2: be allowed to leave the house.

574
00:26:13,194 --> 00:26:15,754
Speaker 1: Right. Like, no, no, no.

575
00:26:15,994 --> 00:26:17,734
Speaker 2: Or if I left, she'd be like, take these divorce

576
00:26:17,754 --> 00:26:19,884
Speaker 2: papers with you.

577
00:26:20,144 --> 00:26:22,884
Speaker 3: You know, you're touching on something that is really interesting, though,

578
00:26:22,904 --> 00:26:26,644
Speaker 3: because I think I've noticed this happen with stand-up comedians

579
00:26:26,724 --> 00:26:30,504
Speaker 3: and other folks in comedy is when they get outside

580
00:26:30,584 --> 00:26:35,094
Speaker 3: of what the situations and the environment that made their, like,

581
00:26:35,254 --> 00:26:38,414
Speaker 3: observations unique, they become worse comedians.

582
00:26:38,634 --> 00:26:38,894
Speaker 2: Oh, yeah.

583
00:26:38,974 --> 00:26:39,234
Speaker 3: Oh, yeah.

584
00:26:39,594 --> 00:26:42,444
Speaker 1: Money does not help. Does that help you be funnier?

585
00:26:42,844 --> 00:26:43,444
Speaker 1: Lots of money.

586
00:26:43,464 --> 00:26:45,564
Speaker 3: They become like less, significantly less funny.

587
00:26:45,584 --> 00:26:48,224
Speaker 2: Yeah, yeah, yeah. I think the thing about George Carlin

588
00:26:48,244 --> 00:26:50,184
Speaker 2: that kept him sort of so hungry all the years

589
00:26:50,304 --> 00:26:54,614
Speaker 2: is a drug problem that was recurrent throughout his life.

590
00:26:55,194 --> 00:26:57,294
Speaker 2: And Kelly Carlin, I love George Carlin's daughter. I think

591
00:26:57,314 --> 00:26:59,074
Speaker 2: she would, that he was always in the middle of

592
00:26:59,134 --> 00:27:01,854
Speaker 2: some shit. Yeah. You know, that he was, even if

593
00:27:01,874 --> 00:27:03,954
Speaker 2: he had money, he was always in the middle of

594
00:27:04,014 --> 00:27:07,844
Speaker 2: some shit. You know, the phrase billionaire comedian, those are,

595
00:27:07,864 --> 00:27:08,704
Speaker 2: it's like jumbo shrimp.

596
00:27:09,284 --> 00:27:12,314
Speaker 3: No, no. Honestly, like when you're talking about George Carlin,

597
00:27:12,334 --> 00:27:15,594
Speaker 3: like I was thinking about how Chappelle lives in like.

598
00:27:15,534 --> 00:27:16,194
Speaker 2: Ohio, right?

599
00:27:16,234 --> 00:27:20,714
Speaker 3: Like rural Ohio. He's from like Baltimore. But there's a

600
00:27:20,794 --> 00:27:22,734
Speaker 3: part of one of his specials I can't remember where

601
00:27:22,774 --> 00:27:26,644
Speaker 3: he's talking about the opioid epidemic and how. how it

602
00:27:26,764 --> 00:27:32,564
Speaker 3: is hitting young white kids in a way that is

603
00:27:34,164 --> 00:27:37,024
Speaker 3: worth remark. And the way he was talking about it,

604
00:27:37,024 --> 00:27:39,774
Speaker 3: I'm like, oh, you've been around some of these people.

605
00:27:39,874 --> 00:27:43,994
Speaker 3: You didn't just read about this. You're seeing this in Ohio.

606
00:27:44,094 --> 00:27:48,074
Speaker 2: You've driven past them, past the many buildings you own

607
00:27:48,114 --> 00:27:48,854
Speaker 2: in your town.

608
00:27:49,034 --> 00:27:51,874
Speaker 3: Yes, this commentary came from an experience. You can feel it.

609
00:27:51,894 --> 00:27:54,484
Speaker 3: So that's interesting that you say that and Yeah, I'm

610
00:27:54,524 --> 00:27:58,494
Speaker 3: sure that you being in Oakland, probably. Are you originally

611
00:27:58,514 --> 00:27:58,874
Speaker 3: from Oakland?

612
00:27:59,114 --> 00:28:02,434
Speaker 2: I'm not originally from Oakland, but I moved here in 97.

613
00:28:02,434 --> 00:28:03,994
Speaker 2: It's funny. I moved to the Bay Area in 97

614
00:28:03,994 --> 00:28:07,134
Speaker 2: to do stand-up comedy and found a place in Oakland.

615
00:28:07,174 --> 00:28:08,634
Speaker 2: I was going to live in San Francisco, find a

616
00:28:08,634 --> 00:28:10,974
Speaker 2: place in Oakland. And really just over the course of years,

617
00:28:10,994 --> 00:28:13,234
Speaker 2: even though I lived in San Francisco, always felt connected

618
00:28:13,254 --> 00:28:15,144
Speaker 2: to Oakland and always hung out in Oakland. Me and

619
00:28:15,164 --> 00:28:17,724
Speaker 2: my wife went to New York a couple years, moved

620
00:28:17,784 --> 00:28:20,263
Speaker 2: back from New York, got a different job when that

621
00:28:20,304 --> 00:28:22,533
Speaker 2: job ended, when it got canceled. And then we were like,

622
00:28:22,554 --> 00:28:24,604
Speaker 2: we have to settle in Oakland because that's where all

623
00:28:24,644 --> 00:28:27,364
Speaker 2: our friends were. And also we have mixed race kids

624
00:28:27,424 --> 00:28:29,504
Speaker 2: and Oakland, California is one of the mixed race kids

625
00:28:29,524 --> 00:28:30,444
Speaker 2: capital of the world.

626
00:28:31,324 --> 00:28:34,604
Speaker 3: Is it actually or is that like a colloquial joke?

627
00:28:34,624 --> 00:28:36,324
Speaker 1: I mean, I don't know if it's been measured, but

628
00:28:36,384 --> 00:28:36,624
Speaker 1: it ain't.

629
00:28:36,924 --> 00:28:39,434
Speaker 2: I don't think anybody hearing this in Oakland is going

630
00:28:39,454 --> 00:28:42,174
Speaker 2: to think I'm saying something. untoward even if they don't

631
00:28:42,234 --> 00:28:43,814
Speaker 2: like the fact that it is that like it is

632
00:28:43,874 --> 00:28:46,104
Speaker 2: very much like because the Bay Area even though it's

633
00:28:46,124 --> 00:28:47,884
Speaker 2: not as diverse as it used to be we mix

634
00:28:47,964 --> 00:28:50,524
Speaker 2: races here that other people can't dream of is all

635
00:28:50,564 --> 00:28:53,204
Speaker 2: I'm saying you know like there's just lots of people

636
00:28:53,304 --> 00:28:55,224
Speaker 2: coming across each other and being like I did a

637
00:28:55,264 --> 00:28:58,144
Speaker 2: movie called a thousand percent me growing up mixed and

638
00:28:58,184 --> 00:29:00,724
Speaker 2: you know it's like black and Filipino because you know

639
00:29:00,744 --> 00:29:02,034
Speaker 2: and before I moved to the Bay Area I didn't

640
00:29:02,054 --> 00:29:03,894
Speaker 2: even think I met a Filipino but like there you

641
00:29:03,914 --> 00:29:05,434
Speaker 2: know there's a lot of black and Filipino people out

642
00:29:05,454 --> 00:29:06,314
Speaker 2: here I.

643
00:29:06,294 --> 00:29:08,354
Speaker 3: Haven't spent that much time in Oakland or in California

644
00:29:08,374 --> 00:29:09,654
Speaker 3: in general but that is the one thing that I

645
00:29:10,154 --> 00:29:11,654
Speaker 3: Like I have noticed that as well. I'm like, wow,

646
00:29:11,694 --> 00:29:15,794
Speaker 3: there's a lot of mixed race couples, like interracial couples here.

647
00:29:16,214 --> 00:29:17,994
Speaker 3: Whereas like in New York, I feel like I see

648
00:29:18,034 --> 00:29:22,584
Speaker 3: a lot of interracial friend groups, but not as many couples.

649
00:29:22,644 --> 00:29:24,544
Speaker 3: But like you'll see a friend group that'll have like

650
00:29:24,624 --> 00:29:27,344
Speaker 3: an Asian person, a Jamaican person. So yeah, it's interesting.

651
00:29:27,364 --> 00:29:28,284
Speaker 3: Chicago's not like that.

652
00:29:28,344 --> 00:29:29,964
Speaker 1: I'll tell you that much.

653
00:29:30,044 --> 00:29:30,664
Speaker 3: Very segregated.

654
00:29:30,844 --> 00:29:32,414
Speaker 1: I went to high school in Chicago, so I know.

655
00:29:32,494 --> 00:29:32,954
Speaker 3: Oh, okay.

656
00:29:33,014 --> 00:29:34,674
Speaker 1: Yeah, I went to, I went to, I would, have you,

657
00:29:34,694 --> 00:29:35,814
Speaker 1: did you grow up there all your life?

658
00:29:36,114 --> 00:29:37,154
Speaker 3: Yeah, yeah, I grew up in Chicago.

659
00:29:37,174 --> 00:29:38,174
Speaker 2: So then I have to ask you the thing, I

660
00:29:38,234 --> 00:29:40,884
Speaker 2: ask people when they know Chicago. So I went to

661
00:29:40,904 --> 00:29:42,504
Speaker 2: high school in Chicago. Where do you think a dude

662
00:29:42,544 --> 00:29:45,854
Speaker 2: like me went to high school? If you know your

663
00:29:45,894 --> 00:29:46,694
Speaker 2: Chicago high schools.

664
00:29:47,294 --> 00:29:50,834
Speaker 3: I feel like you maybe went to like a, like

665
00:29:50,854 --> 00:29:51,614
Speaker 3: a witch Young.

666
00:29:52,014 --> 00:29:52,664
Speaker 1: Not Whitney Young.

667
00:29:53,694 --> 00:29:54,494
Speaker 3: Okay, Jones?

668
00:29:54,964 --> 00:29:56,164
Speaker 2: No, I think Private.

669
00:29:57,004 --> 00:29:57,624
Speaker 3: Oh, Private.

670
00:29:58,644 --> 00:30:00,484
Speaker 2: My Netflix special is called Private School Negro.

671
00:30:02,524 --> 00:30:03,704
Speaker 3: Northside College Prep?

672
00:30:04,264 --> 00:30:04,404
Speaker 4: Lab.

673
00:30:04,644 --> 00:30:04,904
Speaker 2: Lab?

674
00:30:09,844 --> 00:30:12,264
Speaker 3: Wait, I thought Lab was like a new high school.

675
00:30:12,364 --> 00:30:12,964
Speaker 1: How long has that been?

676
00:30:12,984 --> 00:30:15,064
Speaker 2: No, no, Lab's been there for, Lab, there's a Supreme

677
00:30:15,104 --> 00:30:17,524
Speaker 2: Court justice who graduated from Lab. No, Lab, it's on

678
00:30:17,544 --> 00:30:20,704
Speaker 2: the University of Chicago campus. It's been there, it started

679
00:30:20,724 --> 00:30:22,574
Speaker 2: out as a laboratory for schools, which is why it's

680
00:30:22,594 --> 00:30:23,794
Speaker 2: called Lab Schools, but yeah.

681
00:30:23,854 --> 00:30:26,554
Speaker 3: Lab did not get on my radar until the Obamas kids.

682
00:30:26,594 --> 00:30:29,014
Speaker 2: Well, that's, yeah, but they had been there, yeah, it's

683
00:30:29,034 --> 00:30:31,184
Speaker 2: been there for, I don't know, I would say hundreds

684
00:30:31,214 --> 00:30:32,864
Speaker 2: of years, but over, it's been there for, it's been

685
00:30:32,884 --> 00:30:35,464
Speaker 2: there for, it's been there for a long, long time.

686
00:30:36,104 --> 00:30:36,554
Speaker 1: Wow.

687
00:30:36,664 --> 00:30:37,064
Speaker 3: Okay.

688
00:30:37,124 --> 00:30:37,504
Speaker 2: Lab.

689
00:30:37,544 --> 00:30:37,864
Speaker 3: Yeah.

690
00:30:37,884 --> 00:30:38,044
Speaker 2: Yeah.

691
00:30:38,064 --> 00:30:38,544
Speaker 3: I was off.

692
00:30:38,724 --> 00:30:40,324
Speaker 2: No, I think that's when the Obama girls made it

693
00:30:40,404 --> 00:30:41,904
Speaker 2: famous and they didn't even, they just were there for

694
00:30:41,924 --> 00:30:43,884
Speaker 2: a couple of years, but I was there. I graduated

695
00:30:43,904 --> 00:30:46,224
Speaker 2: from him in 1990 and it, it was already like,

696
00:30:46,604 --> 00:30:48,184
Speaker 2: it was like, it was labbing. It had been labbing

697
00:30:48,204 --> 00:30:48,804
Speaker 2: for a long time.

698
00:30:48,824 --> 00:30:52,424
Speaker 3: Oh, well we played lab. I think we played them.

699
00:30:52,444 --> 00:30:52,624
Speaker 2: Yeah.

700
00:30:52,644 --> 00:30:54,834
Speaker 3: I'm pretty sure we played lab one time and I

701
00:30:54,874 --> 00:30:55,984
Speaker 3: was like, these kids are smart.

702
00:30:56,334 --> 00:31:00,334
Speaker 1: Yeah. That means you, that means you, they lost, they lost.

703
00:31:00,394 --> 00:31:02,094
Speaker 3: Yeah, no, no, no, for sure.

704
00:31:02,854 --> 00:31:05,524
Speaker 2: My favorite lab memory is we had a, uh, uh,

705
00:31:05,844 --> 00:31:07,304
Speaker 2: Just to tell you about our athletics, this is a

706
00:31:07,324 --> 00:31:10,654
Speaker 2: high school in Chicago, and they had a slam dunk

707
00:31:10,674 --> 00:31:14,624
Speaker 2: competition during a basketball game one time of the students,

708
00:31:15,104 --> 00:31:16,764
Speaker 2: and they had to use a mini trampoline.

709
00:31:17,244 --> 00:31:19,244
Speaker 1: People did.

710
00:31:20,504 --> 00:31:22,204
Speaker 2: I'm not saying I would have done better, but I'm

711
00:31:22,244 --> 00:31:24,304
Speaker 2: just saying it's Chicago.

712
00:31:24,664 --> 00:31:30,144
Speaker 3: Kevin Garnett went to high school in Chicago. I've got

713
00:31:30,164 --> 00:31:31,504
Speaker 3: to find that clip. I want to see if there's

714
00:31:31,544 --> 00:31:35,304
Speaker 3: videos of that. I doubt there's videos. I graduated in 90, man.

715
00:31:35,524 --> 00:31:36,504
Speaker 3: There might be a Polaroid.

716
00:31:40,304 --> 00:31:43,384
Speaker 2: Anyway, I know that Chicago, when I moved from Chicago

717
00:31:43,444 --> 00:31:46,924
Speaker 2: to Oakland, the segregation was clear. It was very different

718
00:31:47,944 --> 00:31:50,444
Speaker 2: to come here. It's smaller, it's less populated here, but

719
00:31:50,524 --> 00:31:53,204
Speaker 2: way more people stumbling across each other. And also because

720
00:31:53,724 --> 00:31:55,984
Speaker 2: what New York calls boroughs, we call cities. You got Berkeley,

721
00:31:56,004 --> 00:31:58,174
Speaker 2: which has its own character. Oakland has its own character.

722
00:31:58,484 --> 00:32:01,734
Speaker 2: San Francisco and then surrounding cities. So there's lots of

723
00:32:01,754 --> 00:32:03,854
Speaker 2: different pockets of everybody everywhere that you can sort of

724
00:32:03,874 --> 00:32:04,574
Speaker 2: stumble across.

725
00:32:05,274 --> 00:32:06,674
Speaker 3: I got to spend more time out there. I haven't

726
00:32:06,694 --> 00:32:07,294
Speaker 3: been out there much.

727
00:32:07,754 --> 00:32:10,134
Speaker 2: Hey man, I tell this to everybody. You got, please

728
00:32:10,174 --> 00:32:11,314
Speaker 2: come out here. And if you do let me know,

729
00:32:11,374 --> 00:32:13,254
Speaker 2: cause I will make sure you get treated right. I

730
00:32:13,274 --> 00:32:15,614
Speaker 2: know a lot of the people I'm friends with the mayor.

731
00:32:15,634 --> 00:32:17,774
Speaker 2: So like we can, we can, we can make it happen.

732
00:32:17,814 --> 00:32:19,634
Speaker 3: Yeah. Hell yeah. I'm with it. I'm with it. Yeah.

733
00:32:19,814 --> 00:32:22,314
Speaker 1: Anyway, this is enough about you interviewing me. I appreciate that.

734
00:32:23,174 --> 00:32:26,614
Speaker 2: Uh, no, I just think that just the idea that like,

735
00:32:26,694 --> 00:32:28,254
Speaker 2: I think just, I want to wrap this one point

736
00:32:28,294 --> 00:32:29,754
Speaker 2: up about Stephen A. Smith running for president. I think

737
00:32:29,774 --> 00:32:32,554
Speaker 2: the other thing that I feel like happened behind scenes

738
00:32:32,954 --> 00:32:34,394
Speaker 2: and happens to a lot of people like him, I

739
00:32:34,434 --> 00:32:36,454
Speaker 2: think it happened to the rock having Stephen A. Smith.

740
00:32:36,474 --> 00:32:38,454
Speaker 1: I think it's about to happen to Matthew McConaughey.

741
00:32:39,134 --> 00:32:41,794
Speaker 2: You can't run for president of this country without declaring

742
00:32:41,814 --> 00:32:45,574
Speaker 2: you're a Democrat or a Republican. And none of those

743
00:32:45,674 --> 00:32:50,294
Speaker 2: dudes wants to really do that. You know?

744
00:32:50,334 --> 00:32:53,454
Speaker 3: I didn't know that this was even on The Rock's radar.

745
00:32:53,754 --> 00:32:55,254
Speaker 2: He sort of has played footsies with it. He's never

746
00:32:55,274 --> 00:32:56,844
Speaker 2: gone as full as Stephen A. Smith, but I do

747
00:32:56,924 --> 00:32:59,804
Speaker 2: think that somewhere, you know, The Rock is trying to

748
00:32:59,844 --> 00:33:03,104
Speaker 2: do everything. Somewhere there's a dry race board that has, like,

749
00:33:03,224 --> 00:33:06,004
Speaker 2: pluses or minuses of running for president. And, you know,

750
00:33:06,044 --> 00:33:08,084
Speaker 2: Matthew McConaughey, I'm sure you saw that video he just

751
00:33:08,104 --> 00:33:10,284
Speaker 2: put out about And people were like, what's he doing?

752
00:33:10,304 --> 00:33:11,804
Speaker 2: And I'm like, I think he's trying to see, can

753
00:33:11,844 --> 00:33:13,384
Speaker 2: I be an independent and run for president?

754
00:33:13,404 --> 00:33:16,374
Speaker 3: He's been trying to position himself as this check on

755
00:33:16,974 --> 00:33:19,634
Speaker 3: the establishment voices on both sides of the aisle for

756
00:33:19,674 --> 00:33:22,154
Speaker 3: a long time. Honestly, the first time I realized he

757
00:33:22,194 --> 00:33:25,394
Speaker 3: was trying to do this is when he was on

758
00:33:26,374 --> 00:33:29,954
Speaker 3: Uncomfortable Conversations with a Black Man. former football player.

759
00:33:29,974 --> 00:33:32,454
Speaker 2: That's the first Emmanuel Acho reference on this podcast.

760
00:33:32,674 --> 00:33:32,934
Speaker 1: Yep.

761
00:33:33,294 --> 00:33:37,574
Speaker 3: The Acho thing, which Van Lathan called Emmanuel Acho an

762
00:33:37,934 --> 00:33:42,054
Speaker 3: emotional butler for white people, which might be one of

763
00:33:42,094 --> 00:33:46,394
Speaker 3: the funniest things ever. This is just a reminder.

764
00:33:46,594 --> 00:33:48,574
Speaker 1: Stay on Van Lathan's good side. That's what that was

765
00:33:48,594 --> 00:33:51,014
Speaker 1: for me. Honestly, honestly, yeah.

766
00:33:51,494 --> 00:33:53,684
Speaker 3: But that's when I was like, oh, Matthew McConaughey thinks

767
00:33:53,744 --> 00:33:57,264
Speaker 3: that he is what the country needs. And you know, listen,

768
00:33:57,304 --> 00:33:59,554
Speaker 3: we're coming off of the celebrity apprentice guy doing it.

769
00:33:59,604 --> 00:34:01,364
Speaker 3: So I guess I can't sit here and act.

770
00:34:01,344 --> 00:34:01,984
Speaker 1: Like it's impossible.

771
00:34:02,004 --> 00:34:03,934
Speaker 2: I mean, he's not a bad candidate, but I think

772
00:34:03,984 --> 00:34:06,054
Speaker 2: even Trump for a long time, Trump was a registered

773
00:34:06,094 --> 00:34:08,314
Speaker 2: Democrat for many years, but then he had to fully

774
00:34:08,354 --> 00:34:10,274
Speaker 2: commit to Republican because there was no lane in the

775
00:34:10,314 --> 00:34:12,614
Speaker 2: Democratic Party. And I think that a lot of these,

776
00:34:12,634 --> 00:34:14,413
Speaker 2: especially these people come out of straight up entertainment, like

777
00:34:14,433 --> 00:34:16,294
Speaker 2: Trump was sort of found his way into entertainment.

778
00:34:16,634 --> 00:34:18,504
Speaker 1: You're sort of used to trying not to alienate.

779
00:34:18,244 --> 00:34:20,044
Speaker 2: A fan, but especially of like The Rock, these people

780
00:34:20,064 --> 00:34:21,004
Speaker 2: were trying to be billionaires.

781
00:34:21,283 --> 00:34:23,064
Speaker 1: So how do you say I'm running for president?

782
00:34:23,084 --> 00:34:25,614
Speaker 2: So I think Matthew McConaughey, is trying to figure out

783
00:34:25,634 --> 00:34:27,993
Speaker 2: if he says independent enough times, it'll just suddenly be

784
00:34:28,114 --> 00:34:30,453
Speaker 2: a legitimate thing he can do and run for president

785
00:34:30,513 --> 00:34:33,154
Speaker 2: as an independent, which we know the levers of political,

786
00:34:33,354 --> 00:34:35,054
Speaker 2: and we're about to talk about the midterms, the levels

787
00:34:35,413 --> 00:34:37,633
Speaker 2: of political machinery in this country do not have room

788
00:34:37,674 --> 00:34:40,294
Speaker 2: for that. I wish they did have room for all

789
00:34:40,334 --> 00:34:42,554
Speaker 2: these different parties, but they don't currently have room for that.

790
00:34:43,283 --> 00:34:47,564
Speaker 3: Look, the more prominent people seek that out, the more

791
00:34:47,623 --> 00:34:49,824
Speaker 3: some of that infrastructure might get created, right?

792
00:34:49,924 --> 00:34:50,123
Speaker 2: Yeah.

793
00:34:50,904 --> 00:34:52,964
Speaker 3: Um, but like, yeah, it's going to take a couple

794
00:34:53,004 --> 00:34:56,044
Speaker 3: of sacrifice official lambs. I mean, there's just no, yeah,

795
00:34:56,223 --> 00:34:58,684
Speaker 3: there is just no political infrastructure for that at the moment,

796
00:34:58,743 --> 00:34:59,784
Speaker 3: but it's possible.

797
00:35:00,154 --> 00:35:01,754
Speaker 2: Yeah. I mean, but also it's like, I don't know

798
00:35:01,774 --> 00:35:03,953
Speaker 2: if I want to be possible for my, for Matthew McConaughey.

799
00:35:04,533 --> 00:35:07,553
Speaker 2: I think I'd rather aim a little bit. Uh, no, no,

800
00:35:07,654 --> 00:35:10,233
Speaker 2: no shade. Matthew kind of a little shade. I hired

801
00:35:10,254 --> 00:35:15,214
Speaker 2: the Matthew McConaughey for being the first nonpartisan, non-Republican, non-Democrat

802
00:35:15,234 --> 00:35:15,893
Speaker 2: who runs, who wins the presidency.

803
00:35:15,913 --> 00:35:17,913
Speaker 3: I think I'm just over, I think we're, we can

804
00:35:17,933 --> 00:35:19,594
Speaker 3: all just be over celebrities in general.

805
00:35:19,814 --> 00:35:21,493
Speaker 2: I think we did it. I think we, yeah, we

806
00:35:21,513 --> 00:35:21,724
Speaker 2: did it.

807
00:35:21,734 --> 00:35:23,053
Speaker 1: You know what I mean?

808
00:35:23,154 --> 00:35:25,434
Speaker 3: It feels like we did it and we figured out not,

809
00:35:25,533 --> 00:35:29,473
Speaker 3: not that smart, you know, Reagan, Trump. Yeah.

810
00:35:29,654 --> 00:35:29,854
Speaker 2: Yeah.

811
00:35:29,933 --> 00:35:31,694
Speaker 1: I mean, Obama was a celebrity.

812
00:35:31,734 --> 00:35:33,534
Speaker 2: I'm not saying he's the same as Reagan and Trump clearly,

813
00:35:33,553 --> 00:35:35,844
Speaker 2: but I think that the idea of like, I guess

814
00:35:35,864 --> 00:35:37,403
Speaker 2: this is, I don't know if we can get us

815
00:35:37,473 --> 00:35:41,704
Speaker 2: a president who doesn't, easily engage with celebrity culture because

816
00:35:41,723 --> 00:35:43,404
Speaker 2: of the fact that so much of it now requires

817
00:35:43,424 --> 00:35:46,514
Speaker 2: you to make videos and and and you know like

818
00:35:46,574 --> 00:35:49,093
Speaker 2: mom donnie is good at it yeah you have to

819
00:35:49,114 --> 00:35:51,013
Speaker 2: be able to be good at like sort of like

820
00:35:51,513 --> 00:35:54,294
Speaker 2: popping up on tiktok in a way that feels organic

821
00:35:54,314 --> 00:35:57,033
Speaker 2: and doesn't feel like i don't i remember seeing ken

822
00:35:57,074 --> 00:35:58,254
Speaker 2: martin who i don't know if he's still the head

823
00:35:58,274 --> 00:36:00,433
Speaker 2: of the dcc he had a video like when he

824
00:36:00,453 --> 00:36:02,393
Speaker 2: was introducing himself as the new head of the dnc

825
00:36:02,754 --> 00:36:05,814
Speaker 2: and it was just clear there's an intern like natural.

826
00:36:05,993 --> 00:36:08,473
Speaker 2: And it was like, oh, you're not going to be

827
00:36:08,953 --> 00:36:10,314
Speaker 2: able to leave this party because you got to be

828
00:36:10,334 --> 00:36:11,593
Speaker 2: good on TikTok, sir.

829
00:36:12,663 --> 00:36:15,004
Speaker 3: Yeah, I wonder how long this will last. I think

830
00:36:15,024 --> 00:36:16,084
Speaker 3: that there is going to be a little bit of

831
00:36:16,123 --> 00:36:21,004
Speaker 3: a backlash at some point. And I can see, especially

832
00:36:21,464 --> 00:36:27,633
Speaker 3: as my generation, the millennials. Are you a millennial?

833
00:36:27,993 --> 00:36:31,393
Speaker 2: No, no, no. I'm a member of the greatest generation,

834
00:36:31,413 --> 00:36:32,013
Speaker 2: Generation X.

835
00:36:32,953 --> 00:36:34,413
Speaker 3: People don't talk about y'all ever.

836
00:36:35,314 --> 00:36:37,774
Speaker 2: We're fine with that. We're fine with that, but then

837
00:36:37,794 --> 00:36:39,973
Speaker 2: don't disrespect us. When we get, like, suddenly people are like,

838
00:36:40,013 --> 00:36:42,433
Speaker 2: what is Gen X? Hey, hey, hey, hey, hey.

839
00:36:42,473 --> 00:36:44,214
Speaker 3: Y'all just found a way to stay out of all

840
00:36:44,234 --> 00:36:47,113
Speaker 3: the controversy. It's suspicious over there.

841
00:36:47,134 --> 00:36:51,544
Speaker 2: That's because we were latchkey kids who were unparented because

842
00:36:51,584 --> 00:36:54,223
Speaker 2: our parents had to work full-time jobs and couldn't afford childcare.

843
00:36:54,444 --> 00:36:58,424
Speaker 2: I mean, my mom parented me, but I had a lot.

844
00:36:58,324 --> 00:37:00,163
Speaker 1: Of time on my own to figure it out.

845
00:37:00,743 --> 00:37:03,814
Speaker 3: Yeah, I be thinking about that. I'm like, what is

846
00:37:03,834 --> 00:37:05,953
Speaker 3: Gen X got cooking up over there?

847
00:37:05,993 --> 00:37:07,154
Speaker 1: Real, real quiet.

848
00:37:26,714 --> 00:37:29,574
Speaker 3: But no, yeah, I think as our generation is developing,

849
00:37:29,594 --> 00:37:33,653
Speaker 3: I would a relationship with social media where, you know,

850
00:37:34,544 --> 00:37:38,823
Speaker 3: it's obviously clearly we're like addicted clearly, but we're moving

851
00:37:38,864 --> 00:37:41,424
Speaker 3: into this new like era that I call like a

852
00:37:41,484 --> 00:37:42,424
Speaker 3: conscious addiction.

853
00:37:42,623 --> 00:37:42,803
Speaker 4: Right.

854
00:37:42,844 --> 00:37:46,693
Speaker 3: Like it's in, and now people are making like active steps.

855
00:37:46,734 --> 00:37:49,694
Speaker 3: Like there's a, there's a, a little thing you can

856
00:37:49,734 --> 00:37:53,714
Speaker 3: buy now where it only has your, it connects to

857
00:37:53,734 --> 00:37:56,774
Speaker 3: your phone, but it only has like, your photos app,

858
00:37:57,314 --> 00:38:00,893
Speaker 3: and your iMessage.

859
00:38:01,254 --> 00:38:01,993
Speaker 2: And then people are.

860
00:38:01,933 --> 00:38:03,573
Speaker 3: Leaving the house with that, so they can call, they

861
00:38:03,594 --> 00:38:06,493
Speaker 3: can text, they can take photos. And I think as

862
00:38:06,513 --> 00:38:09,294
Speaker 3: we're becoming aware of how addicted we are, our relationship

863
00:38:09,314 --> 00:38:11,854
Speaker 3: with social media might change, and where social media plays

864
00:38:11,893 --> 00:38:14,154
Speaker 3: a part in politics might change. It's possible.

865
00:38:14,473 --> 00:38:17,054
Speaker 1: I would hope so, or at least hope.

866
00:38:17,154 --> 00:38:22,363
Speaker 2: I hope that, for example, that the failure of the

867
00:38:22,663 --> 00:38:25,124
Speaker 2: social reckoning movie the sequel to the social network also

868
00:38:25,504 --> 00:38:29,763
Speaker 2: portends the failure of social media sort of predicts because

869
00:38:29,783 --> 00:38:31,973
Speaker 2: like i just think that we're sort of like not

870
00:38:32,013 --> 00:38:35,014
Speaker 2: caught up in the cult of celebrity around mark zuckerberg

871
00:38:35,033 --> 00:38:37,154
Speaker 2: anymore and realize no he's an arch villain and as

872
00:38:37,194 --> 00:38:39,113
Speaker 2: much as i like movies about arch villains i don't

873
00:38:39,134 --> 00:38:41,354
Speaker 2: want to watch that arch villain you know yeah and

874
00:38:41,373 --> 00:38:43,073
Speaker 2: so i think and i know that there are young

875
00:38:43,134 --> 00:38:45,854
Speaker 2: people who are like actively spending less and less time.

876
00:38:45,714 --> 00:38:47,593
Speaker 1: On their phones and aware of it.

877
00:38:47,734 --> 00:38:49,814
Speaker 2: And I think I would also need a GPS app

878
00:38:49,854 --> 00:38:51,703
Speaker 2: if I'm, if I'm taking everything on my phone and yeah,

879
00:38:51,723 --> 00:38:54,023
Speaker 2: we're all aware, we're sort of in our addiction, aware

880
00:38:54,044 --> 00:38:56,803
Speaker 2: of the addiction as we're in the addiction, but also

881
00:38:56,824 --> 00:38:58,663
Speaker 2: just sort of keeping the addiction going. And I think

882
00:38:58,703 --> 00:39:01,623
Speaker 2: that as we learn, then you're being piloted by the

883
00:39:01,723 --> 00:39:04,073
Speaker 2: AI algorithm that just wants your attention and not your

884
00:39:04,114 --> 00:39:06,113
Speaker 2: respect or your, or your love, you know?

885
00:39:06,654 --> 00:39:09,894
Speaker 3: Yeah, no, I like, I work in public opinion research,

886
00:39:09,913 --> 00:39:14,214
Speaker 3: so I'm always dealing with data. And one of the, um,

887
00:39:14,973 --> 00:39:16,913
Speaker 3: that's that just blows people away every time I say

888
00:39:16,933 --> 00:39:20,233
Speaker 3: it is young men under the age of 18, spend

889
00:39:20,254 --> 00:39:24,643
Speaker 3: more time indoors than people who are incarcerated in America,

890
00:39:25,143 --> 00:39:27,223
Speaker 3: literally like, and it's not even quote, like it's.

891
00:39:27,623 --> 00:39:29,923
Speaker 2: It's not, it's not, it's not like bias. It's not

892
00:39:29,964 --> 00:39:30,283
Speaker 2: in the market.

893
00:39:30,303 --> 00:39:32,584
Speaker 3: It's not like by like 10 minutes. And, you know,

894
00:39:32,643 --> 00:39:34,574
Speaker 3: obviously they're on their phones, they're on their iPads, they're

895
00:39:34,614 --> 00:39:38,923
Speaker 3: on their playing their video games. And as this group

896
00:39:39,674 --> 00:39:44,483
Speaker 3: are becoming parents, they know they're addicted. They are kind

897
00:39:44,584 --> 00:39:46,544
Speaker 3: of overcorrecting for their kids.

898
00:39:47,564 --> 00:39:47,803
Speaker 2: Right.

899
00:39:47,844 --> 00:39:50,803
Speaker 3: So you're seeing more like Gen Z parents, which is

900
00:39:50,824 --> 00:39:51,664
Speaker 3: crazy to think that Gen.

901
00:39:51,544 --> 00:39:53,024
Speaker 2: Z is having kids. Yep. Yep.

902
00:39:53,714 --> 00:39:56,294
Speaker 3: But you're seeing them have rules like they don't have

903
00:39:56,334 --> 00:39:59,913
Speaker 3: TVs in the house. And there's like, you know, rooms

904
00:39:59,953 --> 00:40:01,754
Speaker 3: where like, this is the room where you can use

905
00:40:01,774 --> 00:40:04,903
Speaker 3: your phone and you can't use it outside of this room. So,

906
00:40:04,944 --> 00:40:08,323
Speaker 3: you know, when their kids are in that room, they're

907
00:40:08,364 --> 00:40:10,223
Speaker 3: on the phone, get out of the room, you know,

908
00:40:10,464 --> 00:40:12,424
Speaker 3: things like that. So it'll be interesting to see how

909
00:40:12,464 --> 00:40:16,153
Speaker 3: it changes. My youngest, who's eight, has a phone called

910
00:40:16,174 --> 00:40:17,314
Speaker 3: the 10 can. Have you heard of these?

911
00:40:18,013 --> 00:40:21,734
Speaker 2: Yeah. So it's basically like a phone. It looks like

912
00:40:21,754 --> 00:40:25,373
Speaker 2: a traditional landline, but it's hooked up to Wi-Fi.

913
00:40:26,134 --> 00:40:26,713
Speaker 1: But she's eight.

914
00:40:26,794 --> 00:40:28,533
Speaker 2: And so what it is is that a small handful

915
00:40:28,553 --> 00:40:30,984
Speaker 2: of her friends also have tin cans. And they have

916
00:40:31,104 --> 00:40:34,143
Speaker 2: numbers that they call, like our old school landline, but

917
00:40:34,163 --> 00:40:36,663
Speaker 2: they just can call each other. It's like a closed network.

918
00:40:36,844 --> 00:40:38,913
Speaker 2: But it's funny to see your eight-year-old. you hear her

919
00:40:38,973 --> 00:40:42,004
Speaker 2: phone ring, ring, ring, and she runs out of her

920
00:40:42,064 --> 00:40:44,024
Speaker 2: room and is suddenly on the phone with a cord,

921
00:40:44,044 --> 00:40:44,984
Speaker 2: because it has a cord.

922
00:40:45,033 --> 00:40:45,593
Speaker 3: It doesn't need a cord.

923
00:40:45,913 --> 00:40:46,194
Speaker 2: It has a cord.

924
00:40:46,453 --> 00:40:48,493
Speaker 1: And she's suddenly on the phone like, hi. And he's like,

925
00:40:48,993 --> 00:40:50,384
Speaker 1: look at that. Look at that.

926
00:40:51,044 --> 00:40:53,243
Speaker 3: Even that would have been, look, from my generation, we

927
00:40:53,283 --> 00:40:54,084
Speaker 3: had one phone.

928
00:40:54,283 --> 00:40:54,523
Speaker 2: Yeah.

929
00:40:54,604 --> 00:40:56,184
Speaker 3: Like I wouldn't have a, I didn't have a phone

930
00:40:56,263 --> 00:40:56,883
Speaker 3: in my room.

931
00:40:57,064 --> 00:40:57,743
Speaker 2: No, no, no.

932
00:40:57,743 --> 00:40:58,843
Speaker 1: This phone is in the living room.

933
00:40:59,223 --> 00:41:00,424
Speaker 3: Oh, okay.

934
00:41:00,464 --> 00:41:02,223
Speaker 2: But the idea that it is her phone. Like I can't,

935
00:41:02,533 --> 00:41:04,303
Speaker 2: I can't use that phone to call anybody. It's just

936
00:41:04,344 --> 00:41:06,533
Speaker 2: a dedicated land. It's a, it's not a landline, but

937
00:41:06,553 --> 00:41:09,033
Speaker 2: it's a dedicated line for her and her friends that

938
00:41:09,074 --> 00:41:10,673
Speaker 2: if it rings, you know, it's for her.

939
00:41:10,694 --> 00:41:11,554
Speaker 1: It's called a tin can.

940
00:41:11,614 --> 00:41:14,883
Speaker 2: I'm, you know, so. It's the new device so that

941
00:41:14,904 --> 00:41:16,944
Speaker 2: they can connect because you want your kids to connect

942
00:41:16,964 --> 00:41:19,254
Speaker 2: with people. Right. But you'd rather them not do it

943
00:41:19,294 --> 00:41:22,553
Speaker 2: through a device that has also got like Mark Zuckerberg

944
00:41:22,734 --> 00:41:24,144
Speaker 2: or Elon Musk at the end of it.

945
00:41:24,533 --> 00:41:28,614
Speaker 3: Throwing them the most addictive. They put more money into

946
00:41:28,654 --> 00:41:34,123
Speaker 3: making those algorithms addictive than casinos put into making gambling.

947
00:41:34,163 --> 00:41:38,643
Speaker 3: Like truly. Wow. The science behind it is crazy. insane

948
00:41:38,803 --> 00:41:41,724
Speaker 3: the colors the things that they pressure test to figure

949
00:41:42,064 --> 00:41:44,843
Speaker 3: to get you like it's it's truly it's disgusting it's

950
00:41:44,864 --> 00:41:47,283
Speaker 3: disgusting i think this is like literally one of the

951
00:41:48,404 --> 00:41:51,964
Speaker 3: one of the things that is making life in america

952
00:41:52,384 --> 00:41:55,164
Speaker 3: so bad is that some of the smartest people truly

953
00:41:55,203 --> 00:41:58,163
Speaker 3: the smartest people in the country are only focused on

954
00:41:58,223 --> 00:42:00,763
Speaker 3: how to make focusing on how to make social media

955
00:42:00,953 --> 00:42:04,533
Speaker 3: as addictive as possible yeah our best brains are just

956
00:42:04,594 --> 00:42:08,913
Speaker 3: doing that now they're focused on that Not medicine.

957
00:42:08,933 --> 00:42:10,373
Speaker 2: Not cancer research.

958
00:42:10,834 --> 00:42:11,134
Speaker 4: No.

959
00:42:11,433 --> 00:42:14,334
Speaker 2: Not how to combat climate change.

960
00:42:14,993 --> 00:42:15,953
Speaker 1: Yeah.

961
00:42:16,033 --> 00:42:16,323
Speaker 3: Yeah.

962
00:42:16,344 --> 00:42:16,724
Speaker 1: Yeah.

963
00:42:16,743 --> 00:42:19,823
Speaker 2: Not how to make crickets taste better because we're going

964
00:42:19,844 --> 00:42:21,424
Speaker 2: to have to eat them because we're going to run

965
00:42:21,444 --> 00:42:25,383
Speaker 2: out of cows because the land will not be able

966
00:42:25,424 --> 00:42:29,564
Speaker 2: to feed cows, you know, whatever. The guy who runs Instagram,

967
00:42:29,663 --> 00:42:32,784
Speaker 2: Adam Mosseri, he wrote the Instagram in Threads. he pops

968
00:42:32,844 --> 00:42:34,843
Speaker 2: up every now and again, and there's something about him

969
00:42:34,864 --> 00:42:36,643
Speaker 2: that I feel like they actively pick the guy who

970
00:42:36,663 --> 00:42:39,084
Speaker 2: sort of feels like a little bit like, I don't know, guys,

971
00:42:39,404 --> 00:42:40,283
Speaker 2: so you can't get too.

972
00:42:40,203 --> 00:42:41,163
Speaker 1: Mad at him.

973
00:42:41,203 --> 00:42:41,664
Speaker 2: For sure.

974
00:42:41,844 --> 00:42:42,923
Speaker 1: Like, it's like.

975
00:42:43,324 --> 00:42:45,183
Speaker 2: He doesn't feel like he's in charge of anything, so

976
00:42:45,404 --> 00:42:47,604
Speaker 2: that when he speaks, like, recently there's been a bunch

977
00:42:47,643 --> 00:42:50,384
Speaker 2: of comedians who've had their bits stolen by, like, sexy

978
00:42:50,524 --> 00:42:51,484
Speaker 2: AI bots.

979
00:42:51,723 --> 00:42:52,283
Speaker 1: Have you seen this?

980
00:42:53,143 --> 00:42:54,344
Speaker 3: I've seen some of it, yeah.

981
00:42:54,364 --> 00:42:55,723
Speaker 2: So it's kind of a quiet thing with comedians, where

982
00:42:55,743 --> 00:42:57,544
Speaker 2: it's like, a comedian, because it used to be that

983
00:42:57,904 --> 00:43:00,944
Speaker 2: AI was just doing bad stand-up comedy, but now it's literally, like,

984
00:43:01,263 --> 00:43:02,883
Speaker 2: A comedian will put a bit on Instagram.

985
00:43:03,303 --> 00:43:04,404
Speaker 1: The AI will steal it.

986
00:43:04,553 --> 00:43:06,493
Speaker 2: And now instead of a real comedian doing it, it's

987
00:43:06,513 --> 00:43:09,614
Speaker 2: like a woman who has impossibly large hips and breasts

988
00:43:10,373 --> 00:43:14,314
Speaker 2: doing the same bit but very poorly with AI laughter.

989
00:43:14,373 --> 00:43:18,244
Speaker 2: So none of it is real. But that thing, because

990
00:43:18,283 --> 00:43:21,094
Speaker 2: it is attuned to the algorithm– will get millions of views,

991
00:43:21,154 --> 00:43:24,193
Speaker 2: whereas the original Comedians gets 100,000 views, and now people

992
00:43:24,214 --> 00:43:26,113
Speaker 2: are thinking he stole it from this AI.

993
00:43:26,154 --> 00:43:26,613
Speaker 1: You know what I mean?

994
00:43:26,634 --> 00:43:27,834
Speaker 2: It's just a he or she. It's happened to a

995
00:43:27,834 --> 00:43:29,573
Speaker 2: lot of women, too. And they sort of asked him

996
00:43:29,594 --> 00:43:31,873
Speaker 2: about it. He's like, we got to figure it out.

997
00:43:31,973 --> 00:43:34,733
Speaker 2: I don't know, guys. Or you could just stop letting

998
00:43:34,834 --> 00:43:35,453
Speaker 2: AI do that.

999
00:43:36,754 --> 00:43:38,634
Speaker 3: Yeah, this is the bit that they keep trying to

1000
00:43:38,654 --> 00:43:41,354
Speaker 3: run with him. I saw that they just released that

1001
00:43:41,413 --> 00:43:43,574
Speaker 3: they're going to do all this long form. Yeah, yeah.

1002
00:43:44,303 --> 00:43:46,444
Speaker 3: And in that video, it was him and a woman,

1003
00:43:46,783 --> 00:43:50,114
Speaker 3: and they spend the first two minutes talking doing exactly

1004
00:43:50,134 --> 00:43:52,434
Speaker 3: what you're talking about he's like i didn't really want

1005
00:43:52,493 --> 00:43:54,903
Speaker 3: to but then you convinced me then i was like

1006
00:43:54,944 --> 00:43:56,243
Speaker 3: you know that is a good and i was like

1007
00:43:56,283 --> 00:43:58,363
Speaker 3: get to the point yeah but i do think they're

1008
00:43:58,384 --> 00:44:02,783
Speaker 3: doing something psychological which is they're kind of reshuffling culpability

1009
00:44:02,984 --> 00:44:06,703
Speaker 3: right like it's like uh well our team here we

1010
00:44:06,783 --> 00:44:10,053
Speaker 3: think of ideas we try stuff basically like don't hold

1011
00:44:10,074 --> 00:44:12,413
Speaker 3: my feet to the fire the way y'all did Dorsey

1012
00:44:12,533 --> 00:44:15,843
Speaker 3: or Zuckerberg or, you know, and whether it will work

1013
00:44:15,884 --> 00:44:16,113
Speaker 3: or not.

1014
00:44:16,154 --> 00:44:17,844
Speaker 2: I remember the woman who was quote unquote in charge

1015
00:44:17,884 --> 00:44:20,283
Speaker 2: of X when Elon took over, Linda Yaccarino, I think

1016
00:44:20,303 --> 00:44:20,743
Speaker 2: her name was.

1017
00:44:20,763 --> 00:44:21,823
Speaker 3: Oh, I don't remember this.

1018
00:44:21,864 --> 00:44:23,783
Speaker 2: She was just, she was like, when Elon bought it,

1019
00:44:23,803 --> 00:44:24,964
Speaker 2: she was in charge of it and she was sort

1020
00:44:24,984 --> 00:44:27,524
Speaker 2: of like, got held to the fire every, every, everywhere

1021
00:44:27,544 --> 00:44:30,104
Speaker 2: she went trying to justify Elon's nonsense. But Adam sort

1022
00:44:30,123 --> 00:44:32,544
Speaker 2: of does it like, as if he's like an intern

1023
00:44:32,864 --> 00:44:34,843
Speaker 2: who was in charge with like being in charge for

1024
00:44:34,864 --> 00:44:36,444
Speaker 2: the day or if he's like a temp, like he

1025
00:44:36,504 --> 00:44:38,424
Speaker 2: doesn't do it. And the way he talked about the

1026
00:44:38,484 --> 00:44:40,214
Speaker 2: AI state of comedy thing was as if Well, on

1027
00:44:40,234 --> 00:44:42,954
Speaker 2: the one side, we have real people doing their stand-up comedy.

1028
00:44:42,993 --> 00:44:45,354
Speaker 2: On the other side, we have AI comedians, and we

1029
00:44:45,373 --> 00:44:47,354
Speaker 2: just got to figure out how to make this all work.

1030
00:44:47,194 --> 00:44:48,994
Speaker 1: As if these are two equal sides.

1031
00:44:49,013 --> 00:44:53,923
Speaker 3: How are you all lives mattering an AI stand-up comedian?

1032
00:44:53,953 --> 00:44:56,683
Speaker 3: What are you talking about? He's all lives mattering. That's

1033
00:44:56,723 --> 00:45:00,564
Speaker 3: particularly sinister because stand-up is one of the, yes, do

1034
00:45:00,584 --> 00:45:03,863
Speaker 3: we put the clips online and people enjoy it that way,

1035
00:45:04,243 --> 00:45:07,383
Speaker 3: but it is one of the like, I think like

1036
00:45:07,524 --> 00:45:10,943
Speaker 3: final art forms that is so personable.

1037
00:45:11,163 --> 00:45:12,763
Speaker 2: It's supposed to be live. You're supposed to be in

1038
00:45:12,803 --> 00:45:14,663
Speaker 2: the room with the person. Yes.

1039
00:45:14,683 --> 00:45:16,303
Speaker 1: There's standup comedy specials. That can be great.

1040
00:45:16,344 --> 00:45:18,444
Speaker 2: Yes. You can listen to albums, but at its best,

1041
00:45:18,524 --> 00:45:20,263
Speaker 2: every standup will tell you you're supposed to be in

1042
00:45:20,283 --> 00:45:22,494
Speaker 2: the room with me, with a human who you can

1043
00:45:22,594 --> 00:45:24,633
Speaker 2: see and breathe the same air.

1044
00:45:25,254 --> 00:45:27,693
Speaker 3: We did some research. I had a, like a sit

1045
00:45:27,714 --> 00:45:30,434
Speaker 3: down conversation with Stephen A or Stephen A with Cedric

1046
00:45:30,453 --> 00:45:31,093
Speaker 3: the Entertainer.

1047
00:45:31,393 --> 00:45:31,693
Speaker 2: Oh yeah.

1048
00:45:32,214 --> 00:45:35,404
Speaker 3: And we conducted a study before and, We found, and

1049
00:45:35,424 --> 00:45:40,513
Speaker 3: this is not going to surprise you, the dominant way

1050
00:45:40,553 --> 00:45:44,054
Speaker 3: that somebody consumes their stand-up, right? So you have either vertical, short,

1051
00:45:44,533 --> 00:45:47,214
Speaker 3: and then you have television. So they watch most of

1052
00:45:47,274 --> 00:45:49,594
Speaker 3: it on Netflix specials and then people who go in person.

1053
00:45:50,834 --> 00:45:53,794
Speaker 3: Every inch bigger those screens get to the real-life person,

1054
00:45:55,013 --> 00:45:57,004
Speaker 3: the more charitable somebody is when they hear a joke

1055
00:45:57,044 --> 00:46:00,593
Speaker 3: that they don't like. So short form, they're quick to

1056
00:46:00,634 --> 00:46:03,774
Speaker 3: be like, cancel this guy. And then in Netflix, they

1057
00:46:03,794 --> 00:46:05,394
Speaker 3: might be like, you know, I didn't like that joke.

1058
00:46:06,174 --> 00:46:08,373
Speaker 3: But I heard the rest of it. And it was like,

1059
00:46:08,433 --> 00:46:12,204
Speaker 3: and then in person. You just roll with it. And

1060
00:46:12,243 --> 00:46:14,283
Speaker 3: fun fact, Black people are two times more likely to

1061
00:46:14,324 --> 00:46:17,504
Speaker 3: go see stand-up in person than white people are. There

1062
00:46:17,564 --> 00:46:20,424
Speaker 3: are more white people in America, right? But that was

1063
00:46:20,464 --> 00:46:21,943
Speaker 3: also fascinating to us as well.

1064
00:46:22,604 --> 00:46:24,223
Speaker 2: Well, I mean, it makes sense because, you know, Stan

1065
00:46:24,243 --> 00:46:26,743
Speaker 2: Connolly was invented in this country, but black people very

1066
00:46:26,763 --> 00:46:29,214
Speaker 2: early on invented the Chitlin Circuit as a way to

1067
00:46:29,254 --> 00:46:31,253
Speaker 2: have their own rooms where we could talk to each other.

1068
00:46:32,154 --> 00:46:36,054
Speaker 2: And that meant that black people felt more, like, catered

1069
00:46:36,134 --> 00:46:38,173
Speaker 2: to than a white person going to see Bob Hope.

1070
00:46:38,674 --> 00:46:39,034
Speaker 3: Hmm.

1071
00:46:39,513 --> 00:46:41,033
Speaker 2: Like it was like they're like, I get to go

1072
00:46:41,134 --> 00:46:44,314
Speaker 2: see Red Fox and Red Fox is talking to me.

1073
00:46:44,614 --> 00:46:46,513
Speaker 2: Whereas the white person is like, maybe I'll see Bob Hope.

1074
00:46:46,533 --> 00:46:48,973
Speaker 2: Maybe I'll see Alan King or whatever. It's like it's

1075
00:46:48,993 --> 00:46:51,134
Speaker 2: not the same level of like that's my guy.

1076
00:46:51,194 --> 00:46:51,934
Speaker 3: You know what I mean?

1077
00:46:51,953 --> 00:46:54,324
Speaker 2: So it's like it's more like a punk band. It's

1078
00:46:54,344 --> 00:46:56,524
Speaker 2: like just so it makes sense to me that black people,

1079
00:46:56,544 --> 00:46:59,564
Speaker 2: especially you see the rise of like black comedians online,

1080
00:46:59,584 --> 00:47:01,363
Speaker 2: like Mojo Brooks. There's like a thing where it's like

1081
00:47:01,663 --> 00:47:05,294
Speaker 2: people have are invested in that person's success more. So

1082
00:47:05,314 --> 00:47:07,854
Speaker 2: then you want to go see your friend on stage

1083
00:47:08,094 --> 00:47:10,013
Speaker 2: at Madison Square Garden.

1084
00:47:10,513 --> 00:47:14,064
Speaker 3: That makes sense. Especially, as we know, Black people have

1085
00:47:14,993 --> 00:47:17,774
Speaker 3: like that interconnectedness where like you see another black person,

1086
00:47:17,814 --> 00:47:20,393
Speaker 3: like the Easter line, right? Everybody black. But then also

1087
00:47:20,754 --> 00:47:23,254
Speaker 3: it makes sense from another standpoint too. Like when you

1088
00:47:23,274 --> 00:47:25,673
Speaker 3: think about how black people consume comedy, like we're quite

1089
00:47:25,873 --> 00:47:29,294
Speaker 3: physical with how we laugh, how we emote. Like if

1090
00:47:29,314 --> 00:47:30,854
Speaker 3: you go to like a white standup show, like the

1091
00:47:30,873 --> 00:47:31,354
Speaker 3: white people are.

1092
00:47:31,373 --> 00:47:32,553
Speaker 2: Like, ha ha ha ha.

1093
00:47:32,574 --> 00:47:35,873
Speaker 3: Black people slamming shit, running around, like jumping. And so

1094
00:47:35,913 --> 00:47:37,754
Speaker 3: it would make sense that we would enjoy a medium

1095
00:47:37,794 --> 00:47:41,214
Speaker 3: that's like really in person a little bit more. You know,

1096
00:47:41,234 --> 00:47:43,803
Speaker 3: I remember though, like the first time I had a

1097
00:47:43,884 --> 00:47:46,143
Speaker 3: friend growing up, a white boy who's from the north

1098
00:47:46,163 --> 00:47:48,903
Speaker 3: side of Chicago. And there was a scary movie that

1099
00:47:48,944 --> 00:47:51,743
Speaker 3: came out. And we went to go see it in

1100
00:47:51,763 --> 00:47:54,484
Speaker 3: the theater by my house on the west side of Chicago.

1101
00:47:55,623 --> 00:47:55,703
Speaker 2: And.

1102
00:47:56,444 --> 00:47:58,123
Speaker 3: You know, the people, the black folks in the crowd,

1103
00:47:58,324 --> 00:48:01,824
Speaker 3: don't go in there. Oh, what you doing? And he's like,

1104
00:48:02,074 --> 00:48:05,113
Speaker 3: they're talking during the movie. I'm like, yeah, you ain't

1105
00:48:05,134 --> 00:48:06,854
Speaker 3: never been to a black movie, dude. So, you know,

1106
00:48:06,953 --> 00:48:07,654
Speaker 3: it's interesting.

1107
00:48:07,694 --> 00:48:07,893
Speaker 4: Yeah.

1108
00:48:08,214 --> 00:48:11,594
Speaker 2: It's funny because I, this is, so the new Spider-Man

1109
00:48:11,614 --> 00:48:13,153
Speaker 2: movie for some reason was the first time my three

1110
00:48:13,174 --> 00:48:15,554
Speaker 2: daughters were interested in the Spider-Man movie at the same time.

1111
00:48:15,873 --> 00:48:17,794
Speaker 2: It's really Zendaya who did it. Like they grew up

1112
00:48:17,814 --> 00:48:20,784
Speaker 2: with Zendaya as a Disney star. Zendaya also lived in,

1113
00:48:21,033 --> 00:48:23,314
Speaker 2: grew up in Oakland. So there's an Oakland connection. And

1114
00:48:23,334 --> 00:48:26,323
Speaker 2: then my oldest daughter, who's 15 now, Started wanting to

1115
00:48:26,364 --> 00:48:28,653
Speaker 2: see more Zendaya stuff. Oh, she's in Spider-Man. I'll watch that.

1116
00:48:28,723 --> 00:48:30,033
Speaker 2: And then sort of fell in. And then my middle

1117
00:48:30,053 --> 00:48:32,114
Speaker 2: kid fell in. And then my youngest kid fell in

1118
00:48:32,134 --> 00:48:34,113
Speaker 2: because it was superheroes. And we went to see the

1119
00:48:34,154 --> 00:48:37,283
Speaker 2: new Spider-Man movie. And she, because she's eight and also

1120
00:48:37,324 --> 00:48:39,173
Speaker 2: hasn't spent a lot of time going to movies. just

1121
00:48:39,243 --> 00:48:42,104
Speaker 2: really was like talking throughout the whole thing. And I

1122
00:48:42,143 --> 00:48:44,444
Speaker 2: really was like, sort of like not wanting people to

1123
00:48:44,464 --> 00:48:46,923
Speaker 2: be annoyed, but also like, yeah, that's what we do.

1124
00:48:47,223 --> 00:48:49,464
Speaker 1: And we were.

1125
00:48:49,324 --> 00:48:51,513
Speaker 3: Just like a regular theater in Alabama.

1126
00:48:51,533 --> 00:48:53,134
Speaker 2: Luckily it wasn't full. So it was no big deal,

1127
00:48:53,433 --> 00:48:56,513
Speaker 2: but she was just really engaged. Like, yeah, like it's

1128
00:48:56,553 --> 00:48:58,093
Speaker 2: an eight. I thought, I felt like it was one

1129
00:48:58,114 --> 00:49:02,223
Speaker 2: of the blackest moments. And she didn't know that's what

1130
00:49:02,263 --> 00:49:03,484
Speaker 2: we do, but I'm like, this is what we do.

1131
00:49:04,004 --> 00:49:05,863
Speaker 3: Yeah, that shows that it's really in there.

1132
00:49:06,024 --> 00:49:07,803
Speaker 1: It's in there. It's just part of the DNA.

1133
00:49:07,824 --> 00:49:09,884
Speaker 2: I didn't go, so when you go to a movie,

1134
00:49:09,904 --> 00:49:12,464
Speaker 2: if you're excited, you have to let the screen know.

1135
00:49:13,524 --> 00:49:15,283
Speaker 2: Also related to that, Ryan Coogler lives here. I don't

1136
00:49:15,303 --> 00:49:16,264
Speaker 2: know if you know he lives in Oakland.

1137
00:49:16,303 --> 00:49:17,203
Speaker 3: Oh, yeah, okay.

1138
00:49:17,484 --> 00:49:18,843
Speaker 1: And so I got to go to the premiere of Sinners.

1139
00:49:19,404 --> 00:49:21,514
Speaker 2: And at the premiere of Sinners, Ryan told the audience

1140
00:49:21,594 --> 00:49:23,213
Speaker 2: at this Grand Lake Theater, which is like the best

1141
00:49:23,234 --> 00:49:24,854
Speaker 2: theater in Oakland, one of the best theaters in the country,

1142
00:49:25,334 --> 00:49:27,424
Speaker 2: nobody has seen Sinners yet. like we just think it's

1143
00:49:27,453 --> 00:49:30,803
Speaker 2: a vampire movie and he's just like make noise eat

1144
00:49:30,844 --> 00:49:32,844
Speaker 2: popcorn throw it at the screen have a good time

1145
00:49:32,904 --> 00:49:35,044
Speaker 2: and he was basically saying that's what this movie is

1146
00:49:35,104 --> 00:49:37,944
Speaker 2: for and it was a great and then people were

1147
00:49:37,964 --> 00:49:40,484
Speaker 2: like got it and then they made noise they screamed

1148
00:49:40,544 --> 00:49:42,344
Speaker 2: and said don't go in there girl and he's dating

1149
00:49:42,384 --> 00:49:45,093
Speaker 2: you know and it was great especially in a movie

1150
00:49:45,114 --> 00:49:47,334
Speaker 2: like that it was a really great way to take that.

1151
00:49:47,214 --> 00:49:49,993
Speaker 3: Movie in Yeah. Wow. I didn't know he was from,

1152
00:49:50,114 --> 00:49:52,413
Speaker 3: I didn't know he still lived there, but that's, he's so,

1153
00:49:52,674 --> 00:49:55,453
Speaker 3: I'm such a big fan of Kubler. And that makes sense. His,

1154
00:49:56,294 --> 00:49:59,004
Speaker 3: his films do feel like they are being, they are

1155
00:49:59,203 --> 00:50:02,203
Speaker 3: to be consumed as your blackest self.

1156
00:50:02,564 --> 00:50:03,403
Speaker 2: Yeah, yeah, yes, yes.

1157
00:50:03,504 --> 00:50:03,963
Speaker 1: This is like.

1158
00:50:04,243 --> 00:50:05,424
Speaker 3: Come as you are.

1159
00:50:05,444 --> 00:50:07,283
Speaker 1: Yeah, come as you are. And there may be some.

1160
00:50:07,674 --> 00:50:09,663
Speaker 2: High-minded points in there because black people, we like to

1161
00:50:09,683 --> 00:50:12,183
Speaker 2: make high-minded points, but it's also for you to have

1162
00:50:12,223 --> 00:50:14,343
Speaker 2: a gut laugh and to yell at the screen and

1163
00:50:14,384 --> 00:50:17,664
Speaker 2: to scream at the scream and to tell that person,

1164
00:50:17,723 --> 00:50:20,263
Speaker 2: don't go in there, girl. Don't go in there. So

1165
00:50:20,604 --> 00:50:24,024
Speaker 2: as we record this, the midterms happened last night. People

1166
00:50:24,044 --> 00:50:25,564
Speaker 2: kept asking me, how do you feel? And I was like,

1167
00:50:25,643 --> 00:50:27,154
Speaker 2: I feel like I'm going to know in a few hours.

1168
00:50:27,183 --> 00:50:28,754
Speaker 2: I didn't have like a real like take on it.

1169
00:50:28,783 --> 00:50:31,553
Speaker 2: Like I didn't feel optimistic or anything. How did you

1170
00:50:31,594 --> 00:50:34,013
Speaker 2: feel going into it? And then talk us through the evenings.

1171
00:50:35,154 --> 00:50:38,394
Speaker 3: I think anybody who says that they knew that that

1172
00:50:38,493 --> 00:50:41,134
Speaker 3: particular outcome was going to happen is lying out of

1173
00:50:41,174 --> 00:50:44,774
Speaker 3: their ass. Um, I, you know, I'm a pollster. The

1174
00:50:44,794 --> 00:50:47,613
Speaker 3: majority of the work I do is predicting elections. I

1175
00:50:47,654 --> 00:50:54,514
Speaker 3: had the Democrats flipping four seats for Republican stronghold seats,

1176
00:50:54,953 --> 00:50:58,113
Speaker 3: taking back the Senate. I did. It was very clear

1177
00:50:58,134 --> 00:50:59,433
Speaker 3: that the Democrats were going to take back the house

1178
00:50:59,453 --> 00:51:03,783
Speaker 3: of representatives, you know, Every midterm election is a referendum

1179
00:51:03,824 --> 00:51:05,303
Speaker 3: on the sitting president, every single one.

1180
00:51:05,964 --> 00:51:06,163
Speaker 2: Right.

1181
00:51:06,223 --> 00:51:09,663
Speaker 3: So usually presidents lose by six to seven points. Trump

1182
00:51:09,683 --> 00:51:12,683
Speaker 3: was already like having a really bad year with the

1183
00:51:12,723 --> 00:51:15,763
Speaker 3: tariffs and the gas prices and the straightforward moves being

1184
00:51:15,803 --> 00:51:17,923
Speaker 3: shut down. So, yeah, I mean, I was like, oh,

1185
00:51:18,064 --> 00:51:19,883
Speaker 3: Democrats will probably take back the Senate and the House.

1186
00:51:21,864 --> 00:51:25,163
Speaker 3: Democrats won in Iowa. Democrats won in Kentucky. Democrats won in,

1187
00:51:25,464 --> 00:51:26,643
Speaker 3: or I'm sorry, in Kansas.

1188
00:51:26,723 --> 00:51:27,743
Speaker 1: Yeah, Kansas.

1189
00:51:27,964 --> 00:51:28,843
Speaker 3: In Texas.

1190
00:51:29,123 --> 00:51:31,093
Speaker 1: Texas is blue now.

1191
00:51:31,203 --> 00:51:34,873
Speaker 3: Ohio. I mean, I had no idea that that was

1192
00:51:34,893 --> 00:51:35,354
Speaker 3: going to happen.

1193
00:51:35,913 --> 00:51:38,573
Speaker 2: Yeah. There's so many headlines come out of that. And

1194
00:51:38,794 --> 00:51:40,373
Speaker 2: by the time that this comes out, they will have

1195
00:51:40,393 --> 00:51:43,693
Speaker 2: all been poured over. But for me, there was two

1196
00:51:43,774 --> 00:51:47,034
Speaker 2: things that really sort of struck with me. Texas going blue.

1197
00:51:47,053 --> 00:51:50,303
Speaker 2: I know Texas has enough voters to make it blue.

1198
00:51:50,424 --> 00:51:52,074
Speaker 2: I just know that Texas goes out of its way.

1199
00:51:52,413 --> 00:51:54,973
Speaker 2: Greg Abbott, up until last night, did a great job

1200
00:51:54,993 --> 00:51:56,933
Speaker 2: of suppressing the black and brown vote in Texas and

1201
00:51:56,953 --> 00:51:59,254
Speaker 2: the Democratic vote in Texas. Like that's a thing that they,

1202
00:51:59,734 --> 00:52:01,893
Speaker 2: you know, like by not putting enough polling places around

1203
00:52:02,013 --> 00:52:04,573
Speaker 2: and making it hard and also intimidating people, they did

1204
00:52:04,634 --> 00:52:06,303
Speaker 2: a great job of suppressing the vote. So I didn't

1205
00:52:06,344 --> 00:52:09,984
Speaker 2: know that Texas would go blue this, like I thought

1206
00:52:10,004 --> 00:52:11,423
Speaker 2: there'd have to be more work to be done. So

1207
00:52:11,544 --> 00:52:13,143
Speaker 2: shout out to all the organizers on the ground in

1208
00:52:13,163 --> 00:52:17,053
Speaker 2: Texas who did that because, you know, Texas is blue also.

1209
00:52:18,174 --> 00:52:19,134
Speaker 1: Rest in peace, Joe Rogan.

1210
00:52:19,393 --> 00:52:19,593
Speaker 2: All right.

1211
00:52:21,154 --> 00:52:23,454
Speaker 1: And then the other thing is comedian on comedian violence.

1212
00:52:23,473 --> 00:52:27,714
Speaker 2: That's okay. So I feel like Joe Rogan's outside presence

1213
00:52:27,754 --> 00:52:29,613
Speaker 2: in Texas made Texas voters will be like, I think

1214
00:52:29,654 --> 00:52:31,294
Speaker 2: we don't like this. Let's vote blue.

1215
00:52:31,314 --> 00:52:33,134
Speaker 3: Joe Rogan claims that he votes Democrat.

1216
00:52:34,243 --> 00:52:35,944
Speaker 2: But he also endorsed Trump the night before the election.

1217
00:52:35,973 --> 00:52:36,604
Speaker 3: He sure did.

1218
00:52:37,004 --> 00:52:40,544
Speaker 1: I don't want to tell you. There's evidence he endorsed Trump.

1219
00:52:41,544 --> 00:52:43,423
Speaker 1: I don't know that Rogan strikes this guy who probably

1220
00:52:43,444 --> 00:52:44,383
Speaker 1: doesn't vote that often.

1221
00:52:44,754 --> 00:52:47,054
Speaker 3: No, yeah, he seems like he doesn't vote at all.

1222
00:52:47,243 --> 00:52:49,014
Speaker 2: Like a guy who probably never votes in the midterms,

1223
00:52:49,033 --> 00:52:50,383
Speaker 2: you know what I mean? Like probably like a guy

1224
00:52:50,404 --> 00:52:52,323
Speaker 2: who votes, you know, but whatever. It's not, and again,

1225
00:52:52,364 --> 00:52:53,623
Speaker 2: it's also, I would say it's not about who you,

1226
00:52:54,223 --> 00:52:56,343
Speaker 2: if you vote Democrat, but you endorse Trump, I don't

1227
00:52:56,384 --> 00:52:58,663
Speaker 2: have any, like, I don't know what I care about.

1228
00:52:58,703 --> 00:53:01,564
Speaker 3: You probably canceled out your vote like 5,000 times over.

1229
00:53:01,584 --> 00:53:03,863
Speaker 1: Yeah, especially when you're that level of influential.

1230
00:53:03,884 --> 00:53:05,844
Speaker 2: Like you're telling people to vote for Trump and also

1231
00:53:06,324 --> 00:53:08,243
Speaker 2: everything he, and also the way his podcast is run.

1232
00:53:08,283 --> 00:53:10,944
Speaker 2: Like when you, when you consider Peter Thiel a friend,

1233
00:53:11,964 --> 00:53:14,213
Speaker 2: I don't care who you vote for in the voting booth.

1234
00:53:14,694 --> 00:53:16,874
Speaker 3: Yeah, he's done more damage than good on that regard.

1235
00:53:17,334 --> 00:53:22,493
Speaker 3: I have heard Rogan actually take very left-leaning stances on

1236
00:53:22,533 --> 00:53:25,163
Speaker 3: a number of issues. I've actually heard Stephen A do

1237
00:53:25,203 --> 00:53:25,984
Speaker 3: this too.

1238
00:53:26,104 --> 00:53:26,403
Speaker 2: For sure.

1239
00:53:26,424 --> 00:53:30,224
Speaker 3: And they both get upset that people don't talk about that. But...

1240
00:53:31,424 --> 00:53:34,413
Speaker 3: it's like you guys understand how social media works well

1241
00:53:34,473 --> 00:53:37,774
Speaker 3: enough to have grown this platform so you got to

1242
00:53:37,854 --> 00:53:41,774
Speaker 3: also know when you go say 10 pro you know

1243
00:53:41,834 --> 00:53:45,153
Speaker 3: left-leaning things and then one thing about trump you have

1244
00:53:45,203 --> 00:53:46,723
Speaker 3: to know that that's going to be the thing like

1245
00:53:46,964 --> 00:53:49,203
Speaker 3: yeah you're savvy enough to know that so i.

1246
00:53:49,143 --> 00:53:51,363
Speaker 2: Still don't blame to me it's about like it's not

1247
00:53:51,384 --> 00:53:56,483
Speaker 2: a consistent like ideology yeah so like for example Joe

1248
00:53:56,504 --> 00:53:58,224
Speaker 2: Rogan is a famous weed smoker.

1249
00:53:58,364 --> 00:53:59,364
Speaker 1: So he lived in California.

1250
00:53:59,424 --> 00:54:01,154
Speaker 2: You can be a famous weed smoker and smoke weed

1251
00:54:01,174 --> 00:54:03,373
Speaker 2: because it's legal here. But you moved to Texas and

1252
00:54:03,413 --> 00:54:05,614
Speaker 2: you're a famous weed smoker and you haven't done anything

1253
00:54:05,674 --> 00:54:07,393
Speaker 2: public to get Texas to legalize weed?

1254
00:54:07,413 --> 00:54:08,073
Speaker 1: Yeah.

1255
00:54:08,094 --> 00:54:09,274
Speaker 3: Yeah, that's a good point.

1256
00:54:09,314 --> 00:54:11,554
Speaker 2: But you have taken pictures with Governor Greg Abbott?

1257
00:54:12,654 --> 00:54:13,174
Speaker 1: Yeah.

1258
00:54:13,933 --> 00:54:14,133
Speaker 3: Yeah.

1259
00:54:14,844 --> 00:54:17,123
Speaker 2: And you own a comedy club where I'm sure Latinos work,

1260
00:54:17,163 --> 00:54:19,183
Speaker 2: and I'm sure there's probably some undocumented people there, and

1261
00:54:19,203 --> 00:54:21,623
Speaker 2: you haven't done anything, and you live in Texas, but

1262
00:54:21,763 --> 00:54:24,783
Speaker 2: you haven't done anything publicly. Every now and then he'll say,

1263
00:54:24,824 --> 00:54:26,984
Speaker 2: this Ice thing is out of control, but nothing that

1264
00:54:27,004 --> 00:54:29,403
Speaker 2: sort of really puts him on the line. So anyway. Yeah.

1265
00:54:48,053 --> 00:54:48,814
Speaker 1: Enough Rogan talk.

1266
00:54:49,373 --> 00:54:51,473
Speaker 2: I'm sorry. That's my fault. The other thing I think

1267
00:54:51,533 --> 00:54:54,224
Speaker 2: is painful last night is Angie Nixon losing in Florida.

1268
00:54:54,783 --> 00:54:56,663
Speaker 2: It's not that Florida was a blue state, so it's

1269
00:54:56,703 --> 00:55:00,644
Speaker 2: not like she lost the state. She almost won the state.

1270
00:55:01,183 --> 00:55:02,643
Speaker 2: And I just hope that we can think of this

1271
00:55:02,663 --> 00:55:06,904
Speaker 2: as like Angie Nixon has put Florida in play because

1272
00:55:06,924 --> 00:55:10,744
Speaker 2: she's definitely laid the groundwork for Florida to go blue.

1273
00:55:11,734 --> 00:55:13,834
Speaker 3: I think, I mean, you're absolutely right that not only

1274
00:55:13,873 --> 00:55:16,553
Speaker 3: was it not a blue state, it wasn't a purple state.

1275
00:55:16,594 --> 00:55:19,573
Speaker 3: Trump won Florida by 13 points, right? That was two

1276
00:55:19,614 --> 00:55:23,354
Speaker 3: years ago. Nixon lost it by two points and was

1277
00:55:23,574 --> 00:55:27,694
Speaker 3: outspent significantly, I think like seven to one. So we

1278
00:55:27,714 --> 00:55:29,694
Speaker 3: got to talk about two things here. One, the Democratic

1279
00:55:29,754 --> 00:55:33,593
Speaker 3: Party has given up on Florida in a lot of ways, right?

1280
00:55:33,634 --> 00:55:39,203
Speaker 3: Like they are not pouring into their campaign. The second

1281
00:55:39,223 --> 00:55:41,163
Speaker 3: thing is like, Now, I've talked about this a little

1282
00:55:41,183 --> 00:55:44,123
Speaker 3: bit last night. I was on live with the Breakfast

1283
00:55:44,163 --> 00:55:48,923
Speaker 3: Club team and Angela Rye and such. And, you know,

1284
00:55:48,964 --> 00:55:52,323
Speaker 3: Black women are of the most reliable Democratic voters all

1285
00:55:52,364 --> 00:55:55,484
Speaker 3: across the country. Black women show up, they turn out

1286
00:55:55,584 --> 00:55:57,343
Speaker 3: at a higher rate than white women, and they vote

1287
00:55:57,364 --> 00:56:02,433
Speaker 3: for Democrats almost twice as frequently as white women. And

1288
00:56:02,533 --> 00:56:07,233
Speaker 3: it is particularly disappointing to see when Black women run

1289
00:56:07,274 --> 00:56:10,694
Speaker 3: for office, run to be the representatives of inside of

1290
00:56:10,714 --> 00:56:14,114
Speaker 3: the party that they shoulder, that they don't get the

1291
00:56:14,294 --> 00:56:17,514
Speaker 3: type of help from the DSCC, the DLCC, the DNC,

1292
00:56:17,533 --> 00:56:19,534
Speaker 3: and all the other powers that be on the Democratic Party.

1293
00:56:20,074 --> 00:56:21,724
Speaker 2: Yeah, and as you said, I learned last time from

1294
00:56:21,743 --> 00:56:23,584
Speaker 2: Joy Reid that the thing, because I said the DNC,

1295
00:56:23,604 --> 00:56:27,123
Speaker 2: she's like, no, that's the DSCC, which is the Democratic Senators,

1296
00:56:27,604 --> 00:56:29,803
Speaker 2: the people, the wing of the Democratic Party that is

1297
00:56:29,844 --> 00:56:32,744
Speaker 2: supposed to fund Senate campaigns or help fund Senate campaigns,

1298
00:56:32,944 --> 00:56:35,053
Speaker 2: and they did not show up for her. And also

1299
00:56:35,134 --> 00:56:38,574
Speaker 2: didn't put boots on the ground and didn't send all

1300
00:56:38,594 --> 00:56:41,994
Speaker 2: the famous leaders and everything to go out there. And

1301
00:56:42,013 --> 00:56:43,774
Speaker 2: a lot of people won last night up against big

1302
00:56:43,794 --> 00:56:47,893
Speaker 2: Republican money, even though they didn't have big Democratic money.

1303
00:56:47,953 --> 00:56:50,373
Speaker 2: But it just felt like Florida would have been the

1304
00:56:50,453 --> 00:56:52,774
Speaker 2: cherry on top of this. And she didn't fail, but

1305
00:56:52,794 --> 00:56:54,673
Speaker 2: I feel like if the party hadn't failed her.

1306
00:56:55,393 --> 00:56:59,584
Speaker 3: Yeah, it honestly would have. I mean, they're not... Texas is.

1307
00:57:01,143 --> 00:57:02,904
Speaker 3: I didn't think I'd be seeing it in my lifetime.

1308
00:57:02,924 --> 00:57:04,454
Speaker 3: But the reason why Florida would have really been the

1309
00:57:04,473 --> 00:57:09,233
Speaker 3: cherry on top is because that is MAGA country, right?

1310
00:57:09,294 --> 00:57:12,254
Speaker 3: President Trump lives in Florida. President Trump, I believe, votes

1311
00:57:12,314 --> 00:57:12,854
Speaker 3: in Florida.

1312
00:57:12,933 --> 00:57:14,514
Speaker 2: Yeah, he does. Absentee, he votes.

1313
00:57:15,214 --> 00:57:18,964
Speaker 3: Yeah, while he tells other people not to. And I

1314
00:57:19,004 --> 00:57:23,264
Speaker 3: think that the infrastructure that he's built in Florida, particularly, also,

1315
00:57:23,304 --> 00:57:25,224
Speaker 3: I want to say this too. This is important to note.

1316
00:57:25,624 --> 00:57:30,804
Speaker 3: The post-COVID in-migration in Florida is, made it so that

1317
00:57:30,864 --> 00:57:36,334
Speaker 3: now Republicans outnumber Democrats by 1.5 million. And that was

1318
00:57:36,354 --> 00:57:39,814
Speaker 3: a lot of that was just because Florida relaxed a

1319
00:57:39,854 --> 00:57:42,534
Speaker 3: lot of their COVID restrictions.

1320
00:57:43,114 --> 00:57:43,294
Speaker 2: Right.

1321
00:57:43,354 --> 00:57:45,954
Speaker 3: And so you kind of have this like awkward influx

1322
00:57:45,974 --> 00:57:48,554
Speaker 3: that comes. You have President Trump, who's like charismatic to

1323
00:57:48,574 --> 00:57:53,294
Speaker 3: the people who he speaks to. And, you know, a

1324
00:57:53,374 --> 00:57:56,774
Speaker 3: state like that, having that much headwinds against a candidate

1325
00:57:57,254 --> 00:57:59,713
Speaker 3: and that candidate only losing by two shows you just

1326
00:57:59,754 --> 00:58:01,434
Speaker 3: how talented that candidate is. Yes.

1327
00:58:01,454 --> 00:58:04,244
Speaker 2: You know. Yeah. I had Angie on the podcast, Angie

1328
00:58:04,264 --> 00:58:06,343
Speaker 2: Nixon on the podcast right before the election. And she,

1329
00:58:06,804 --> 00:58:09,144
Speaker 2: you know, she gives all the vibes that you want

1330
00:58:09,164 --> 00:58:12,104
Speaker 2: and all the the leadership and has done all the

1331
00:58:12,164 --> 00:58:14,084
Speaker 2: work and is not new to this and is there

1332
00:58:14,104 --> 00:58:14,584
Speaker 2: for the fight.

1333
00:58:14,604 --> 00:58:15,644
Speaker 1: And she's not scared at all.

1334
00:58:16,044 --> 00:58:17,804
Speaker 2: In the same things you get from like an Abdul

1335
00:58:17,864 --> 00:58:21,264
Speaker 2: El-Sayed or a Mamdani, but there's that thing you said

1336
00:58:21,304 --> 00:58:25,624
Speaker 2: about black women, like maybe sometimes don't even get the credit.

1337
00:58:25,704 --> 00:58:27,923
Speaker 2: So she'll, she'll get the credit for what she did there,

1338
00:58:27,984 --> 00:58:29,684
Speaker 2: but not, not the success you deserve.

1339
00:58:30,114 --> 00:58:33,593
Speaker 3: Yeah. Yeah. Very unfortunate. But I think, I think I

1340
00:58:33,614 --> 00:58:36,234
Speaker 3: saw somewhere she said she's going to, she's already saying

1341
00:58:36,254 --> 00:58:37,354
Speaker 3: she's going to run again.

1342
00:58:37,374 --> 00:58:37,593
Speaker 2: Yeah.

1343
00:58:37,694 --> 00:58:38,814
Speaker 1: I mean, I, I'm glad to know that.

1344
00:58:38,834 --> 00:58:40,573
Speaker 2: And I think that like Florida should be in play

1345
00:58:40,594 --> 00:58:42,233
Speaker 2: for the next election is all I'm saying. If we,

1346
00:58:42,314 --> 00:58:44,304
Speaker 2: now that we say how close that election was, It

1347
00:58:44,344 --> 00:58:44,684
Speaker 2: might be.

1348
00:58:44,804 --> 00:58:49,304
Speaker 3: This is, you know, midterm electorates are different than general electorates, right?

1349
00:58:49,364 --> 00:58:52,944
Speaker 3: Like midterm voters are typically more tapped in. They're typically

1350
00:58:53,024 --> 00:58:55,843
Speaker 3: more college educated. The group that Trump turns out the

1351
00:58:55,904 --> 00:58:59,753
Speaker 3: strongest are non-college educated white voters and non-college educated people

1352
00:58:59,814 --> 00:59:03,854
Speaker 3: in general just vote at a lower clip than college

1353
00:59:03,874 --> 00:59:06,573
Speaker 3: educated people do in midterms. I got you.

1354
00:59:06,594 --> 00:59:06,944
Speaker 2: I got you.

1355
00:59:06,974 --> 00:59:10,084
Speaker 3: We'll have a different. like demographic of people that'll be

1356
00:59:10,124 --> 00:59:12,524
Speaker 3: participating in the 2028 election but it does not mean

1357
00:59:12,604 --> 00:59:15,204
Speaker 3: that florida is not in play like it'll be interesting

1358
00:59:15,244 --> 00:59:16,174
Speaker 3: thing to watch.

1359
00:59:16,174 --> 00:59:17,774
Speaker 2: Yeah because a lot of this last night was people

1360
00:59:17,774 --> 00:59:22,363
Speaker 2: I get what you're saying, that the presidential elections just

1361
00:59:22,404 --> 00:59:25,544
Speaker 2: bring out more people. Yeah. And if you're bringing out

1362
00:59:25,564 --> 00:59:27,443
Speaker 2: more people in Florida, then you're automatically kind of bringing

1363
00:59:27,544 --> 00:59:29,744
Speaker 2: out more Republicans. More Florida men.

1364
00:59:29,904 --> 00:59:32,383
Speaker 3: Bring out more Floridians.

1365
00:59:33,564 --> 00:59:33,884
Speaker 1: Yeah.

1366
00:59:33,984 --> 00:59:36,684
Speaker 2: Any other takeaways from the midterms last night? Anything that

1367
00:59:36,724 --> 00:59:37,534
Speaker 2: you want to highlight?

1368
00:59:38,034 --> 00:59:40,843
Speaker 3: Yeah, I mean, I think it was... For all the

1369
00:59:41,134 --> 00:59:43,894
Speaker 3: infighting that the Democratic Party does, I think it was

1370
00:59:44,034 --> 00:59:47,854
Speaker 3: actually a really good show of the ideological dexterity of

1371
00:59:47,894 --> 00:59:54,314
Speaker 3: the party. They ran super progressive candidates in some states

1372
00:59:54,714 --> 00:59:59,414
Speaker 3: that people told them not to and won. But they

1373
00:59:59,454 --> 01:00:03,654
Speaker 3: also ran really moderate candidates in some moderate states and won.

1374
01:00:03,674 --> 01:00:07,314
Speaker 3: And so I think that as we're thinking about what

1375
01:00:07,354 --> 01:00:10,483
Speaker 3: the party can look like, I think we get really,

1376
01:00:10,504 --> 01:00:11,954
Speaker 3: we're going to have a primary. We're going to tear

1377
01:00:11,974 --> 01:00:14,554
Speaker 3: each other alive, right? Like everybody's idea is going to

1378
01:00:14,594 --> 01:00:15,134
Speaker 3: be bad.

1379
01:00:15,154 --> 01:00:16,214
Speaker 2: Yeah.

1380
01:00:16,354 --> 01:00:17,974
Speaker 3: And I think as we're doing that, I think we

1381
01:00:17,994 --> 01:00:21,154
Speaker 3: need to remember that like pragmatism looks like running the

1382
01:00:21,194 --> 01:00:23,954
Speaker 3: right candidate in the right state. And it worked and

1383
01:00:23,994 --> 01:00:24,814
Speaker 3: it worked last night.

1384
01:00:25,214 --> 01:00:27,174
Speaker 2: Yeah. I mean, there's also the thing about like, and

1385
01:00:27,194 --> 01:00:29,024
Speaker 2: I've seen people sort of already, and I, you know, I,

1386
01:00:29,394 --> 01:00:31,554
Speaker 2: because of who I follow online, because I live in, in,

1387
01:00:32,154 --> 01:00:33,093
Speaker 2: in the Bay area.

1388
01:00:33,154 --> 01:00:35,834
Speaker 1: Like one of the activist hubs of the.

1389
01:00:35,814 --> 01:00:38,593
Speaker 2: Known universe, you can't really celebrate any victory. You're like,

1390
01:00:38,634 --> 01:00:40,604
Speaker 2: you know, Because there's people out here who go, but

1391
01:00:40,644 --> 01:00:41,784
Speaker 2: also this. You know what I mean?

1392
01:00:41,804 --> 01:00:42,323
Speaker 3: Yeah.

1393
01:00:42,384 --> 01:00:44,264
Speaker 2: So there's also things I've seen of people saying that, like, yeah,

1394
01:00:44,284 --> 01:00:46,794
Speaker 2: some of these candidates we're celebrating also have some APEC

1395
01:00:46,814 --> 01:00:48,374
Speaker 2: checks that they cash to get there, you know.

1396
01:00:48,714 --> 01:00:51,514
Speaker 1: Because it's politics, most people are not clean.

1397
01:00:52,814 --> 01:00:55,613
Speaker 3: Most people aren't clean. And also, I think, you know,

1398
01:00:55,634 --> 01:00:57,294
Speaker 3: at the end of the day, it comes down to

1399
01:00:58,134 --> 01:01:00,934
Speaker 3: who do we want running the federal government, right? And

1400
01:01:01,014 --> 01:01:03,994
Speaker 3: so I think that, like, I don't agree with everything

1401
01:01:04,034 --> 01:01:07,294
Speaker 3: that every Democrat is saying. But I know that if

1402
01:01:07,334 --> 01:01:10,354
Speaker 3: Republicans are... running the federal government, we're going to see things,

1403
01:01:10,814 --> 01:01:12,264
Speaker 3: we're going to see wins that black and brown people

1404
01:01:12,284 --> 01:01:15,823
Speaker 3: have experienced disappear, right? And so I'm always weighing those

1405
01:01:15,844 --> 01:01:17,963
Speaker 3: two things and I encourage voters to do the same.

1406
01:01:18,524 --> 01:01:21,004
Speaker 2: No, for sure. I mean, I feel like that all

1407
01:01:21,024 --> 01:01:23,264
Speaker 2: the time and that you have to sort of like,

1408
01:01:23,324 --> 01:01:26,184
Speaker 2: you know, what is the, I always forget who said this,

1409
01:01:26,204 --> 01:01:27,654
Speaker 2: but a vote is not a valentine.

1410
01:01:29,254 --> 01:01:31,274
Speaker 3: No, I mean, it's a really good point. Like our

1411
01:01:31,434 --> 01:01:34,734
Speaker 3: ancestors knew that we didn't have the luxury of falling

1412
01:01:34,774 --> 01:01:38,174
Speaker 3: in love with our politicians, right? Like Frederick Douglass didn't,

1413
01:01:38,794 --> 01:01:40,923
Speaker 3: didn't like abraham lincoln he talked about it all that

1414
01:01:40,944 --> 01:01:42,904
Speaker 3: he wrote about it all the time he knew he

1415
01:01:42,944 --> 01:01:47,104
Speaker 3: could manipulate abraham lincoln right he knew he was smarter

1416
01:01:47,324 --> 01:01:50,164
Speaker 3: than abraham lincoln but he didn't like him and so

1417
01:01:50,204 --> 01:01:52,054
Speaker 3: you know i think that we have to be pragmatic

1418
01:01:52,114 --> 01:01:53,894
Speaker 3: if we want to we want to win i would

1419
01:01:53,914 --> 01:01:54,213
Speaker 3: say it's.

1420
01:01:54,154 --> 01:01:56,754
Speaker 2: Like mom donnie and trump it's like it's like yeah yeah.

1421
01:01:56,954 --> 01:02:00,854
Speaker 3: They're negotiations like they're business deals yeah right so yeah

1422
01:02:00,874 --> 01:02:03,134
Speaker 3: when you see akeem jeffrey sort of having able to

1423
01:02:03,174 --> 01:02:05,084
Speaker 3: have his moment last night in the like moment of

1424
01:02:05,144 --> 01:02:07,894
Speaker 3: like celebration and and sort of saying.

1425
01:02:07,934 --> 01:02:11,414
Speaker 1: Like, America's back. And you're like, hey, man.

1426
01:02:12,374 --> 01:02:14,733
Speaker 3: Slow down, man.

1427
01:02:14,754 --> 01:02:15,613
Speaker 1: Slow down.

1428
01:02:15,694 --> 01:02:17,754
Speaker 2: I get that this is going better than you thought

1429
01:02:17,774 --> 01:02:18,904
Speaker 2: it was going to go. But also, a lot of

1430
01:02:18,924 --> 01:02:21,184
Speaker 2: these people who won want to talk to you for

1431
01:02:21,204 --> 01:02:23,424
Speaker 2: a minute. They want to talk to you for a

1432
01:02:23,484 --> 01:02:25,323
Speaker 2: quick little second. Yeah, America's back.

1433
01:02:25,344 --> 01:02:26,483
Speaker 1: Come here. Can I talk to you about something?

1434
01:02:27,124 --> 01:02:28,264
Speaker 3: I think, and they should.

1435
01:02:28,364 --> 01:02:28,823
Speaker 1: Yeah, for sure.

1436
01:02:28,844 --> 01:02:32,834
Speaker 3: They should talk to him. I mean, listen, I've had.

1437
01:02:34,304 --> 01:02:38,684
Speaker 3: Hakeem, on my podcast, we've sat and we've talked. I'm

1438
01:02:38,724 --> 01:02:40,714
Speaker 3: not going to sit here and act like somebody who

1439
01:02:40,754 --> 01:02:43,633
Speaker 3: has never met and worked with or around him. But

1440
01:02:43,674 --> 01:02:49,524
Speaker 3: I will say that I think a lot of the

1441
01:02:49,564 --> 01:02:52,564
Speaker 3: structure of the Democratic Party right now needs to hear

1442
01:02:52,664 --> 01:02:53,444
Speaker 3: more from the.

1443
01:02:55,214 --> 01:02:59,974
Speaker 3: Uprising electorate that has some ideals that are not necessarily

1444
01:03:00,074 --> 01:03:02,814
Speaker 3: in line with where the leadership is. And the reason

1445
01:03:02,834 --> 01:03:06,154
Speaker 3: why it's so important, if nothing else, to the speaker,

1446
01:03:06,174 --> 01:03:12,173
Speaker 3: who will, to our next speaker, if nothing else, so

1447
01:03:12,194 --> 01:03:17,193
Speaker 3: that you can retain power and not concede it to

1448
01:03:17,274 --> 01:03:20,354
Speaker 3: literally the country's most dangerous white folks. Let's call it

1449
01:03:20,374 --> 01:03:21,914
Speaker 3: what it is. That's what's happening on the right side

1450
01:03:21,934 --> 01:03:23,923
Speaker 3: of that. So if you need to hear out some

1451
01:03:23,954 --> 01:03:27,984
Speaker 3: people who have a different perspective on Israel than you do.

1452
01:03:28,184 --> 01:03:30,464
Speaker 3: And if you need to make concessions, make them over here.

1453
01:03:30,484 --> 01:03:33,024
Speaker 3: Don't end up having to make them over there.

1454
01:03:33,044 --> 01:03:33,923
Speaker 1: Yeah, make them on the left.

1455
01:03:33,964 --> 01:03:35,923
Speaker 2: Don't make them, yeah, don't, because the right will lie

1456
01:03:35,944 --> 01:03:37,504
Speaker 2: to you, will concede to you and then lie to

1457
01:03:37,524 --> 01:03:39,284
Speaker 2: you about it, yeah. Yes, yes.

1458
01:03:39,424 --> 01:03:41,464
Speaker 3: So it'll be interesting. It'll be real interesting.

1459
01:03:41,714 --> 01:03:43,924
Speaker 2: One of the things that I saw as I was

1460
01:03:43,944 --> 01:03:47,104
Speaker 2: getting ready for this, again, we talked about phone addiction,

1461
01:03:47,124 --> 01:03:48,264
Speaker 2: so I was looking at my phone. I want to

1462
01:03:48,284 --> 01:03:49,383
Speaker 2: pull this up and make sure I get it right.

1463
01:03:49,664 --> 01:03:52,244
Speaker 2: Ben Sheehan, who I follow on Instagram, who has a

1464
01:03:52,264 --> 01:03:54,304
Speaker 2: show called Civics Made Easy on PBS where he just

1465
01:03:54,344 --> 01:03:56,404
Speaker 2: explains how the government works. I don't know if you

1466
01:03:56,444 --> 01:03:59,423
Speaker 2: know his work, but he's one of the good whites.

1467
01:04:01,464 --> 01:04:03,423
Speaker 2: And I've heard of us for the National Popular Vote

1468
01:04:03,494 --> 01:04:07,454
Speaker 2: Interstate Compact. Which is this thing where states would just

1469
01:04:07,514 --> 01:04:10,394
Speaker 2: agree that whoever wins the popular vote, they would give

1470
01:04:10,414 --> 01:04:11,613
Speaker 2: their electoral college votes to.

1471
01:04:11,634 --> 01:04:12,653
Speaker 1: Have you heard about this?

1472
01:04:13,074 --> 01:04:13,733
Speaker 3: I haven't, no.

1473
01:04:13,914 --> 01:04:15,414
Speaker 2: So there's a bunch of states that have already agreed

1474
01:04:15,494 --> 01:04:17,093
Speaker 2: to be a part of it, like California, of course.

1475
01:04:17,374 --> 01:04:20,244
Speaker 2: But you sort of need a state that has Democrats

1476
01:04:20,364 --> 01:04:22,424
Speaker 2: in all branches of the government to agree to do it.

1477
01:04:22,814 --> 01:04:25,034
Speaker 2: And so last night, enough states have all Democrats in

1478
01:04:25,054 --> 01:04:28,484
Speaker 2: all branches of the government, like their legislative body, their Senate,

1479
01:04:28,544 --> 01:04:31,204
Speaker 2: their governor, that there's enough states if they agree to

1480
01:04:31,284 --> 01:04:33,284
Speaker 2: do it, they could ratify it. It would just be

1481
01:04:33,324 --> 01:04:34,384
Speaker 2: a thing they had to do in the states. It

1482
01:04:34,404 --> 01:04:36,024
Speaker 2: doesn't have to go before the federal government. It's in

1483
01:04:36,044 --> 01:04:39,354
Speaker 2: the Constitution. It's a state rights issue. Then whatever the

1484
01:04:39,434 --> 01:04:42,234
Speaker 2: popular vote is, the states would just have to give

1485
01:04:42,674 --> 01:04:45,834
Speaker 2: their electoral college votes to the popular voter, to whoever

1486
01:04:45,854 --> 01:04:46,653
Speaker 2: won the popular votes.

1487
01:04:47,174 --> 01:04:48,884
Speaker 3: Yeah. I hadn't heard about this.

1488
01:04:49,054 --> 01:04:52,964
Speaker 2: Well, now I'm giving you some homework, Mr. Big Wrinkled Brain.

1489
01:04:53,664 --> 01:04:55,963
Speaker 2: And Ben, I've heard about it before, but I didn't

1490
01:04:56,004 --> 01:04:59,044
Speaker 2: realize that because it was such a big blue tsunami

1491
01:04:59,084 --> 01:05:00,904
Speaker 2: last night, there's enough states that have the ability to

1492
01:05:00,924 --> 01:05:01,544
Speaker 2: make that decision.

1493
01:05:01,804 --> 01:05:02,994
Speaker 1: And it's a decision they have to make.

1494
01:05:03,054 --> 01:05:04,794
Speaker 2: They don't have to go to the federal government.

1495
01:05:05,114 --> 01:05:06,394
Speaker 1: It's a state's rights issue.

1496
01:05:06,814 --> 01:05:08,774
Speaker 2: And so he's saying this is an issue that if

1497
01:05:08,794 --> 01:05:11,414
Speaker 2: you want to get behind something that we could maybe

1498
01:05:11,454 --> 01:05:14,974
Speaker 2: accomplish now, especially now that Texas is blue, maybe even

1499
01:05:15,014 --> 01:05:16,804
Speaker 2: Republicans might want to feel a certain way about this.

1500
01:05:17,884 --> 01:05:21,004
Speaker 2: It could be a thing, a popular issue that could

1501
01:05:21,084 --> 01:05:25,264
Speaker 2: secretly change the vote in America, which should be popular

1502
01:05:25,284 --> 01:05:29,573
Speaker 2: vote and not who wins the right number of chits,

1503
01:05:29,654 --> 01:05:30,224
Speaker 2: you know, whatever.

1504
01:05:31,014 --> 01:05:33,794
Speaker 3: Yeah, I don't even remember what the arguments for the

1505
01:05:33,854 --> 01:05:37,734
Speaker 3: electoral college are. I don't even remember what they are.

1506
01:05:37,754 --> 01:05:39,354
Speaker 2: I mean, they all go back to the South feeling

1507
01:05:39,374 --> 01:05:42,593
Speaker 2: like because they had more black people than white people,

1508
01:05:42,894 --> 01:05:44,534
Speaker 2: they didn't feel like they were going to be represented.

1509
01:05:44,994 --> 01:05:45,994
Speaker 1: So they needed more.

1510
01:05:46,654 --> 01:05:48,794
Speaker 2: It's basically the idea that land doesn't vote, so they

1511
01:05:48,814 --> 01:05:51,714
Speaker 2: needed more votes because they were the economic engine of

1512
01:05:51,754 --> 01:05:53,814
Speaker 2: the country at the time because of slavery. It all

1513
01:05:53,854 --> 01:05:55,784
Speaker 2: ties itself back to slave math, as I would say.

1514
01:05:56,264 --> 01:05:59,924
Speaker 3: No, and I know it's where it ties. I'm trying to, like,

1515
01:06:00,164 --> 01:06:02,724
Speaker 3: what is the modern day? Because they won't say that.

1516
01:06:03,604 --> 01:06:05,404
Speaker 3: They won't be like, well, it's a relic of slavery.

1517
01:06:05,424 --> 01:06:10,434
Speaker 3: Of course. They have a fake reason now, and I

1518
01:06:10,474 --> 01:06:11,254
Speaker 3: can't even remember what it is.

1519
01:06:11,254 --> 01:06:13,854
Speaker 2: I think it's still about, like, that if it's popular vote,

1520
01:06:14,514 --> 01:06:18,734
Speaker 2: then the population centers get to have more outsized power

1521
01:06:19,574 --> 01:06:22,314
Speaker 2: than the rural places. But the fact is, it's not

1522
01:06:22,354 --> 01:06:25,173
Speaker 2: about the population centers, it's about individual people having their

1523
01:06:25,214 --> 01:06:26,194
Speaker 2: votes mean something.

1524
01:06:26,834 --> 01:06:36,054
Speaker 3: So their idea is that if a rural community is underrepresented,

1525
01:06:36,274 --> 01:06:39,613
Speaker 3: then they might not have as much electoral power. So

1526
01:06:39,634 --> 01:06:43,774
Speaker 3: they want to give an underrepresented community an opportunity to

1527
01:06:43,834 --> 01:06:46,113
Speaker 3: have a larger seat at the table. That sounds like

1528
01:06:46,154 --> 01:06:50,544
Speaker 3: DEI to me. And that's interesting because I know that

1529
01:06:50,564 --> 01:06:54,104
Speaker 3: the people who are against getting rid of the electoral

1530
01:06:54,144 --> 01:06:58,323
Speaker 3: college do not like DEI. But that sounds a lot

1531
01:06:58,364 --> 01:06:59,323
Speaker 3: like DEI to me.

1532
01:06:59,484 --> 01:07:00,964
Speaker 1: You done said it. You done said it.

1533
01:07:01,084 --> 01:07:03,044
Speaker 2: Again, that big wrinkled brain does it again.

1534
01:07:03,704 --> 01:07:04,323
Speaker 1: Exactly.

1535
01:07:04,824 --> 01:07:07,064
Speaker 2: And which is why they do the silly thing about like,

1536
01:07:07,104 --> 01:07:09,284
Speaker 2: how come the presidential election starts in Iowa? Why does

1537
01:07:09,344 --> 01:07:12,423
Speaker 2: it matter? What Iowa who Iowans think should be the president.

1538
01:07:12,554 --> 01:07:14,424
Speaker 2: It's because of this sort of like wanting to make

1539
01:07:14,444 --> 01:07:17,204
Speaker 2: sure that the rural areas are represented because they know

1540
01:07:17,244 --> 01:07:20,604
Speaker 2: that like if individual Californians votes matter, you can't ignore

1541
01:07:20,624 --> 01:07:21,484
Speaker 2: California anymore.

1542
01:07:21,904 --> 01:07:22,144
Speaker 3: Yeah.

1543
01:07:22,564 --> 01:07:22,804
Speaker 2: Yeah.

1544
01:07:23,584 --> 01:07:26,474
Speaker 3: Well, luckily they changed it to South Carolina being the

1545
01:07:26,514 --> 01:07:26,974
Speaker 3: first state.

1546
01:07:27,014 --> 01:07:27,734
Speaker 2: Yeah. Yeah.

1547
01:07:28,204 --> 01:07:30,343
Speaker 3: So now at least black people get, can get a

1548
01:07:30,344 --> 01:07:32,534
Speaker 3: little bit of that, a little bit of that D I.

1549
01:07:32,674 --> 01:07:33,294
Speaker 2: Yeah.

1550
01:07:33,314 --> 01:07:33,714
Speaker 3: Yeah.

1551
01:07:33,774 --> 01:07:36,633
Speaker 2: They keep talking about, yeah. Jim Clyburn got that in

1552
01:07:36,654 --> 01:07:38,554
Speaker 2: the Joe Biden. I'll give you this election, but we

1553
01:07:38,594 --> 01:07:39,734
Speaker 2: need to, I need you to wet. I need to

1554
01:07:39,774 --> 01:07:40,994
Speaker 2: wet my beak a little bit. I need a little,

1555
01:07:41,014 --> 01:07:43,593
Speaker 2: I need a little something. I'll toss it your way.

1556
01:07:43,654 --> 01:07:44,954
Speaker 2: I just need a little something.

1557
01:07:44,974 --> 01:07:46,204
Speaker 3: I know they had that conversation.

1558
01:07:46,584 --> 01:07:48,403
Speaker 2: Yeah. So that's an idea that I think is like,

1559
01:07:48,444 --> 01:07:50,524
Speaker 2: I'm so excited about like sort of looking into that

1560
01:07:50,604 --> 01:07:52,144
Speaker 2: and sort of, cause I think it's a, it's a

1561
01:07:52,224 --> 01:07:54,003
Speaker 2: thing to sort of hit on. That is an easy,

1562
01:07:54,064 --> 01:07:56,383
Speaker 2: that could be, you know, that doesn't take as much

1563
01:07:56,444 --> 01:08:01,343
Speaker 2: as like, uh, dismantle the federal government. It's on our

1564
01:08:01,384 --> 01:08:03,444
Speaker 2: way to arresting Donald Trump. We can sort of accomplish

1565
01:08:03,464 --> 01:08:03,843
Speaker 2: this too.

1566
01:08:04,564 --> 01:08:06,653
Speaker 3: That's one of the things I will, you will rarely

1567
01:08:06,724 --> 01:08:10,654
Speaker 3: ever hear me talk positively about Project 2025, but I

1568
01:08:10,694 --> 01:08:12,804
Speaker 3: did read all of it. I read all of it.

1569
01:08:13,174 --> 01:08:16,554
Speaker 3: And one of the things that I can say that

1570
01:08:17,694 --> 01:08:19,334
Speaker 3: I learned from it is like, there's a lot of

1571
01:08:19,374 --> 01:08:22,344
Speaker 3: these little things that we don't take as much advantage

1572
01:08:22,464 --> 01:08:25,944
Speaker 3: of that don't have a massive impact two thirds majority

1573
01:08:25,964 --> 01:08:29,904
Speaker 3: in the Senate over. And to their credit, they thought

1574
01:08:29,924 --> 01:08:32,144
Speaker 3: about a lot of them, like a lot of little

1575
01:08:32,184 --> 01:08:34,184
Speaker 3: ways to do that. So like stuff like this is,

1576
01:08:34,404 --> 01:08:36,704
Speaker 3: I think, yeah, we just started looking at how we

1577
01:08:36,724 --> 01:08:39,034
Speaker 3: can do that to take back power from some of

1578
01:08:39,054 --> 01:08:40,294
Speaker 3: the craziest people in America.

1579
01:08:40,494 --> 01:08:43,014
Speaker 2: Yeah. Before I let you go, is there anything else

1580
01:08:43,114 --> 01:08:46,894
Speaker 2: about the midterms or anything you're looking forward to in

1581
01:08:46,934 --> 01:08:48,054
Speaker 2: this next era of America?

1582
01:08:49,634 --> 01:08:52,174
Speaker 3: I hope that the Democrats don't spend the majority of

1583
01:08:52,194 --> 01:08:56,244
Speaker 3: their time trying to impeach Trump. I hope they focus

1584
01:08:56,414 --> 01:09:00,384
Speaker 3: on actually just trying to stop Trump. And I hope

1585
01:09:00,404 --> 01:09:03,924
Speaker 3: that they don't think that this repudiation of Donald Trump

1586
01:09:04,104 --> 01:09:06,734
Speaker 3: means that they have the good graces of the American

1587
01:09:06,754 --> 01:09:09,214
Speaker 3: people because they don't. They are still the lesser of

1588
01:09:09,254 --> 01:09:11,764
Speaker 3: two evils. And that pops up in that not my opinion.

1589
01:09:12,394 --> 01:09:15,354
Speaker 3: We see that in surveys all the time. Yeah. It'll

1590
01:09:15,374 --> 01:09:16,034
Speaker 3: be interesting to watch.

1591
01:09:16,804 --> 01:09:19,114
Speaker 2: Yeah, I mean, I feel like the Mamdani thing that

1592
01:09:19,134 --> 01:09:20,914
Speaker 2: I saw was like he had all the goodwill of

1593
01:09:20,954 --> 01:09:23,334
Speaker 2: the people. And then what did he do when it snowed?

1594
01:09:23,494 --> 01:09:26,994
Speaker 2: He hired people to clean the sidewalks. And it was

1595
01:09:27,074 --> 01:09:28,854
Speaker 2: all over social media. People were like, I got $ 30

1596
01:09:28,714 --> 01:09:31,304
Speaker 2: an hour to clean sidewalks. It's like you need to

1597
01:09:31,324 --> 01:09:32,744
Speaker 2: look for some easy wins.

1598
01:09:33,024 --> 01:09:33,524
Speaker 3: Easy wins.

1599
01:09:33,544 --> 01:09:37,544
Speaker 2: Yeah, and so that are actually legitimate wins, not just

1600
01:09:37,584 --> 01:09:40,624
Speaker 2: about saying stuff, but actually people feel the benefits of

1601
01:09:40,644 --> 01:09:41,224
Speaker 2: the thing you do.

1602
01:09:41,744 --> 01:09:43,464
Speaker 3: Yeah, that's real. That's real for sure.

1603
01:09:44,424 --> 01:09:45,124
Speaker 1: Well, thank you for this.

1604
01:09:45,164 --> 01:09:46,764
Speaker 2: I feel like we could talk for much longer because

1605
01:09:47,224 --> 01:09:48,984
Speaker 2: I appreciate it. I'd love to continue to have more

1606
01:09:49,004 --> 01:09:51,344
Speaker 2: conversations with you. And I appreciate you sitting down with

1607
01:09:51,384 --> 01:09:54,164
Speaker 2: me for this midterm spectacular that went lots of different

1608
01:09:54,184 --> 01:09:58,454
Speaker 2: places other than the midterms, midterm reflections. My penultimate question

1609
01:09:58,494 --> 01:10:00,074
Speaker 2: is I ask people if there's a charity or a

1610
01:10:00,074 --> 01:10:01,954
Speaker 2: cause that they want people to know more about because

1611
01:10:02,094 --> 01:10:05,034
Speaker 2: my audience likes homework. Yes.

1612
01:10:06,234 --> 01:10:09,384
Speaker 3: The one I would say is called My Block, My Hood,

1613
01:10:09,404 --> 01:10:10,564
Speaker 3: My City in Chicago.

1614
01:10:10,584 --> 01:10:10,654
Speaker 2: Yes.

1615
01:10:11,114 --> 01:10:11,614
Speaker 1: They're out.

1616
01:10:11,734 --> 01:10:13,834
Speaker 3: They're doing the work. You talk about somebody, a group

1617
01:10:13,874 --> 01:10:15,903
Speaker 3: of folks that are just every time I see little

1618
01:10:15,924 --> 01:10:19,224
Speaker 3: black kids run around having their first experience, you know,

1619
01:10:19,264 --> 01:10:20,524
Speaker 3: going to the beach for the first time from the

1620
01:10:20,564 --> 01:10:22,364
Speaker 3: west side of Chicago, never made it down to the beach,

1621
01:10:22,824 --> 01:10:24,904
Speaker 3: spending money. And it's like they're a part of this group.

1622
01:10:25,264 --> 01:10:27,364
Speaker 3: He's given all these kids this opportunity just to see

1623
01:10:27,384 --> 01:10:28,684
Speaker 3: more of the world and more of the city. So

1624
01:10:29,084 --> 01:10:30,814
Speaker 3: my block, my hood, my city is the one I love.

1625
01:10:31,314 --> 01:10:33,454
Speaker 2: That is great because I know Chicago enough that people,

1626
01:10:33,714 --> 01:10:35,994
Speaker 2: like you said, segregated. People will like stay in their

1627
01:10:36,034 --> 01:10:38,574
Speaker 2: neighborhood on the west side and never go downtown.

1628
01:10:39,054 --> 01:10:39,714
Speaker 3: Their whole lives.

1629
01:10:39,794 --> 01:10:42,194
Speaker 2: Or never go to the, there are beach areas in Chicago.

1630
01:10:42,234 --> 01:10:43,934
Speaker 2: Never go to the beach area of Chicago. The beach

1631
01:10:43,954 --> 01:10:45,704
Speaker 2: area of Chicago is hotter than the beach area of

1632
01:10:45,744 --> 01:10:47,964
Speaker 2: Northern California. So it's actually, on a hot day, it

1633
01:10:47,974 --> 01:10:48,764
Speaker 2: can be nice out there.

1634
01:10:49,084 --> 01:10:50,924
Speaker 3: Yeah, yeah. And so they're doing a lot of that

1635
01:10:50,964 --> 01:10:53,024
Speaker 3: work and, you know, a ton of other work. So

1636
01:10:53,084 --> 01:10:53,984
Speaker 3: I love those folks over there.

1637
01:10:54,244 --> 01:10:56,204
Speaker 2: Yeah, no, I'm sure they're doing some real community building,

1638
01:10:56,224 --> 01:11:00,044
Speaker 2: but it's also great to provide experiences where Black people can,

1639
01:11:00,084 --> 01:11:02,024
Speaker 2: Black kids can have some joy. Yeah.

1640
01:11:02,344 --> 01:11:02,644
Speaker 1: Hell yeah.

1641
01:11:02,664 --> 01:11:07,304
Speaker 2: All right. The podcast is called Who's With Me? My

1642
01:11:07,364 --> 01:11:11,534
Speaker 2: final question is, Joshua Doss, are you with me? I'm

1643
01:11:11,544 --> 01:11:13,244
Speaker 2: with you. Okay. All right. Cool.

1644
01:11:13,324 --> 01:11:13,684
Speaker 3: All right.

1645
01:11:13,824 --> 01:11:14,484
Speaker 2: I appreciate it.

1646
01:11:14,484 --> 01:11:15,864
Speaker 1: You said that in a low-key Chicago way.

1647
01:11:15,884 --> 01:11:17,204
Speaker 2: I appreciate that.

1648
01:11:17,304 --> 01:11:18,164
Speaker 3: I'm like, what are we with?

1649
01:11:18,324 --> 01:11:19,874
Speaker 1: No, no, no. Just generally.

1650
01:11:19,884 --> 01:11:22,954
Speaker 3: Yeah, I'm with you, man. It's been a good conversation.

1651
01:11:23,034 --> 01:11:24,674
Speaker 1: I'm not asking you to. We ain't got to rob

1652
01:11:24,694 --> 01:11:25,194
Speaker 1: a liquor store.

1653
01:11:25,234 --> 01:11:26,634
Speaker 3: I got a very body. I got a very body.

1654
01:11:26,654 --> 01:11:27,154
Speaker 1: Who with me?

1655
01:11:27,434 --> 01:11:28,314
Speaker 3: No, no, for sure.

1656
01:11:28,374 --> 01:11:29,814
Speaker 2: I like that from the very beginning you were like

1657
01:11:29,874 --> 01:11:31,514
Speaker 2: suspicious when I said something. You're like, hey, man, what's

1658
01:11:31,554 --> 01:11:32,574
Speaker 2: going on here? No, no, no.

1659
01:11:33,414 --> 01:11:34,504
Speaker 1: That's the Chicago way.

1660
01:11:34,544 --> 01:11:35,444
Speaker 2: That's the Chicago.

1661
01:11:35,464 --> 01:11:36,144
Speaker 1: You got to watch it.

1662
01:11:36,564 --> 01:11:38,304
Speaker 2: I'm with you to the end of this recording, and

1663
01:11:38,344 --> 01:11:40,524
Speaker 2: then I'll re-up if it keeps going well. So, yeah,

1664
01:11:40,544 --> 01:11:41,084
Speaker 2: appreciate it.

1665
01:11:41,454 --> 01:11:42,134
Speaker 1: Appreciate it, Joshua.

1666
01:11:42,714 --> 01:11:43,474
Speaker 3: Appreciate you, brother.

1667
01:11:46,644 --> 01:11:48,504
Speaker 2: Thanks for listening to this episode of who's with me.

1668
01:11:48,884 --> 01:11:53,304
Speaker 2: Thanks to my guests, Joshua Doss, Josh Doss, AKA Doss

1669
01:11:53,404 --> 01:11:56,884
Speaker 2: dot discourse on Instagram. D O S S dot discourse

1670
01:11:56,914 --> 01:11:58,073
Speaker 2: is how you find them on Instagram.

1671
01:11:58,854 --> 01:12:01,234
Speaker 1: Uh, great conversation. Love to talk to him.

1672
01:12:01,654 --> 01:12:03,554
Speaker 2: This podcast really works best for me when I think

1673
01:12:03,574 --> 01:12:04,894
Speaker 2: it's like, I don't know that I would have ever

1674
01:12:04,934 --> 01:12:07,414
Speaker 2: talked to this person otherwise. So, uh, I'm glad to

1675
01:12:07,434 --> 01:12:09,494
Speaker 2: have that conversation with him, follow him on all of

1676
01:12:09,554 --> 01:12:12,584
Speaker 2: his platforms and everywhere. clearly we will see more of

1677
01:12:12,624 --> 01:12:17,974
Speaker 2: this brother out there in the future. Again, my book, Rock, Paper, Scissors, Cheese,

1678
01:12:18,034 --> 01:12:20,034
Speaker 2: is available for sale. Great for kids four to eight.

1679
01:12:20,074 --> 01:12:22,534
Speaker 2: We've been out there reading this everywhere. Really proud of

1680
01:12:22,574 --> 01:12:25,714
Speaker 2: this book. Again, this Saturday, November 14th, I'll be at

1681
01:12:25,734 --> 01:12:29,034
Speaker 2: the Facing Race Conference in Raleigh, North Carolina. If you're

1682
01:12:29,054 --> 01:12:30,514
Speaker 2: out there, you want to come out there, be out

1683
01:12:30,554 --> 01:12:32,634
Speaker 2: there with us. All the links to everything are in

1684
01:12:32,654 --> 01:12:35,514
Speaker 2: the show notes. And the organization that Josh wanted us

1685
01:12:35,634 --> 01:12:39,974
Speaker 2: to look into is My Block, My Hood by City, formyblock.org.

1686
01:12:40,994 --> 01:12:43,824
Speaker 2: We believe in taking personal responsibility for our communities. It

1687
01:12:43,834 --> 01:12:46,324
Speaker 2: is only through our efforts of service, empathy, and collaboration

1688
01:12:46,384 --> 01:12:49,424
Speaker 2: we will truly see our communities evolve. So it is

1689
01:12:49,544 --> 01:12:54,064
Speaker 2: a black-led youth organization in Chicago that is helping black

1690
01:12:54,104 --> 01:12:57,514
Speaker 2: people thrive, survive, and have a good time. So, yeah,

1691
01:12:57,554 --> 01:13:00,634
Speaker 2: so check them out. Thank you to Josh. Thank you

1692
01:13:00,654 --> 01:13:03,814
Speaker 2: to Rabbit Green Productions. Thank you to Pushkin Industries. Thank

1693
01:13:03,834 --> 01:13:06,464
Speaker 2: you to Who Knows Best Productions, which is me right here.

1694
01:13:07,474 --> 01:13:11,254
Speaker 2: Thank you to Chris Dowd from the Mighty Fishbone for

1695
01:13:11,294 --> 01:13:13,464
Speaker 2: the theme music. And we did the midterms last week,

1696
01:13:13,484 --> 01:13:14,764
Speaker 2: and I feel like we did the thing that we

1697
01:13:14,804 --> 01:13:17,444
Speaker 2: talked about. You did something good for yourself if you voted.

1698
01:13:17,484 --> 01:13:19,644
Speaker 2: You did something good for your community.

1699
01:13:19,284 --> 01:13:19,704
Speaker 1: If you voted.

1700
01:13:19,724 --> 01:13:21,624
Speaker 2: You did something good for the world if you voted.

1701
01:13:21,644 --> 01:13:23,403
Speaker 2: So let's keep it going. Do something good for yourself,

1702
01:13:23,704 --> 01:13:26,504
Speaker 2: for your community, and for the world. Are you with me?

1703
01:13:26,944 --> 01:13:29,294
Speaker 2: I'm with you. Who's with me? See you next week.