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Speaker 1: Hello the Internet, and welcome to season episode four of

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Speaker 1: tur Daily of My Heart Radio. This is a podcast

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Speaker 1: where we take a deep dive into America's share consciousness

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Speaker 1: and say officiently off the top. Fund the Koch Brothers,

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Speaker 1: Fuck Fox News, Rush Limbaugh, Funck buck Sexton, Fun Buapiro,

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Speaker 1: on Fun, Tucker Carlson. It's Thursday, August seven. My name's

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Speaker 1: Jack O'Brien, ak Hans. Don't go out, don't touch me,

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Speaker 1: don't touch you. Please vote this time, but pop Donald

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Speaker 1: Trump is just no good, no good, no good. Please

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Speaker 1: being klined bop pop pop. Just go vote for something blue.

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Speaker 1: That is courtesy of Cat Hair and Jacob Human, and

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Speaker 1: I'm thrilled to be joined as always by my co host,

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Speaker 1: Mr Miles grass. I see a trend door and I

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Speaker 1: wanted painted black, no new trans anymore. I want down too,

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Speaker 1: term black. I see the girls waf by massed in

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Speaker 1: their COVID clothes. I have to turn my head until

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Speaker 1: their sickness goes. I see a light. Okay, now we

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Speaker 1: can keep going. Because this is one of the lengthier

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Speaker 1: AK s I got, and I almost want to respect

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Speaker 1: it because I actually truth be told. I like the

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Speaker 1: Eric Burden and War version of Painted Black the best.

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Speaker 1: But it's not what Style was saying. You didn't but

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Speaker 1: shout out to Rich Jefferson at the Bisonal and at Cheek.

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Speaker 1: Apparently it was a two hander off the discord. So

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Speaker 1: thank you all for that. Inspired acame. It's always interesting

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Speaker 1: when we have like a super respectable guest on the show,

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Speaker 1: because I really feel the awkwardness of our sung acas

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Speaker 1: and uh my, my laundry list of people who can

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Speaker 1: go fund themselves just like, wait a second, what am

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Speaker 1: I doing? We are thrilled to be joined by the

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Speaker 1: brilliant and talented Nittia Rahman. Welcome, Welcome, Thank you so

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Speaker 1: much for having me. Oh absolutely for you know, what

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Speaker 1: is that getting for the listeners who are not in

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Speaker 1: the l A area. Okay, this is a fantastic guest

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Speaker 1: because this is somebody who is taking it into their

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Speaker 1: own hands to try and help affect change within the

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Speaker 1: city in which they live and going up against a

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Speaker 1: lot of special interests that are very heavily rooted in

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Speaker 1: this city, uh and which seemed to be uh, you know,

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Speaker 1: the root cause of a lot of the issues we

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Speaker 1: have with a lot of our citizens and our neighbors

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Speaker 1: being left behind. So Nittia, thank you so much for coming,

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Speaker 1: because I find you to be very inspiring as like

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Speaker 1: a native Evangelino. And even though you're not, I'm not

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Speaker 1: would hopefully one day could be one of your constituents.

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Speaker 1: I do not live in the district in which you

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Speaker 1: are running for, but I wholeheartedly support you and like

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Speaker 1: your whole vision for the city is completely in line

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Speaker 1: with our show, and I'm just it's it's great to

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Speaker 1: have people like you want. Oh, thank you so much.

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Speaker 1: You know, Honestly, you guys are dealing with the national

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Speaker 1: environment and the national environment so frustrating sometimes that I

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Speaker 1: think I have in some ways a little bit easier,

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Speaker 1: Like I get to deal with local stuff, and change

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Speaker 1: feels real here, it feels totally possible. Yeah, we've been

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Speaker 1: talking kind of intermittently about how tired we are just

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Speaker 1: pointing out the problems and how much we want to,

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Speaker 1: you know, give our listeners ideas for how to do something,

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Speaker 1: and you know, have I come up with ideas of

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Speaker 1: our own of how to do things, And it really

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Speaker 1: seems getting involved locally. Uh. We keep coming back to

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Speaker 1: that as as the thing that is tangible, that you

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Speaker 1: can do. So we're really excited. I feel like what

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Speaker 1: you're doing does speak to the national condition. Yeah, and

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Speaker 1: somebody was asking me yesterday, like we for listeners who

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Speaker 1: don't know about l A politics, it has not been

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Speaker 1: a place where a lot of people have even voted,

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Speaker 1: never mind getting involved. And in our campaign, we've been

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Speaker 1: really lucky to have tons of volunteers. I mean people

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Speaker 1: were out in the heat wave this past weekend dropping

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Speaker 1: off bags of lit and things like that for the

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Speaker 1: campaign in the heat, masked and gloved and everything. And

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Speaker 1: yesterday I was on a call and someone said, how

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Speaker 1: do you get so many volunteers? And I honestly think

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Speaker 1: it's just a relief for people. It's like they look

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Speaker 1: at this national what's happening at the national level, just

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Speaker 1: the colossal failure on so many issues, and I think

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Speaker 1: it's just it's like, oh, I get to go have

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Speaker 1: a conversation with my neighbor and tell them it can

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Speaker 1: be better. I mean, they're not doing that during COVID that,

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Speaker 1: you know, unless it's over the phone. But but it's yeah,

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Speaker 1: it's it's it's it's a relief. It is a relief,

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Speaker 1: and yeah, you know, I really encourage people to do

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Speaker 1: it in their own places, and if you're in l A,

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Speaker 1: get involved with our campaign. Absolutely. And I think it's

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Speaker 1: the other thing too, is that it's not it's like

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Speaker 1: it's a relief. And it's also like this relief in

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Speaker 1: from like what the tone of our politics are. Like

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Speaker 1: you are You're not like some big d democrat like

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Speaker 1: you run on. I've been saying this, You're like a

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Speaker 1: person of purpose. You're not a politician. You are being

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Speaker 1: driven by a purpose. And I think that is what

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Speaker 1: I think like the most universal language I think we've seen,

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Speaker 1: because suddenly people are like, yes, that's right. There are

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Speaker 1: people who are you know, need help and I'm in

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Speaker 1: a position to help, or we can do better, or

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Speaker 1: we can ask more of our officials. And that's really

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Speaker 1: resonating versus like we gotta get Donald Trump out of

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Speaker 1: here and Chuck Schumer should be running the Center's like no, no, no, okay,

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Speaker 1: that that that's one version of reality. But like here

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Speaker 1: like yeah, right, but yeah in this sense, you know,

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Speaker 1: every from the second your name started bubbling up as

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Speaker 1: like a candidate for cbfour, I was like, this is

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Speaker 1: this is the kinds of people like we this is

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Speaker 1: the this is the tone that our politics needs to

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Speaker 1: head in, where it's it's really tied to the humanity

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Speaker 1: and treating each other with dignity. Yeah, and I think

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Speaker 1: like city for I'm an urban planner. I've done a

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Speaker 1: lot of work on you know, urban poverty issues, and

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Speaker 1: I don't want to run for anything else. This is

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Speaker 1: my dream. This is part of my work that I've

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Speaker 1: been doing in l A on urban poverty, on homelessness.

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Speaker 1: This is like the next step in that. But I

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Speaker 1: don't see it as a stepping stone to other things, honestly,

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Speaker 1: just because I find that stuff just less interesting. Like me,

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Speaker 1: I love thinking about cities. I love talking about cities.

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Speaker 1: I love working at the city level. But I think

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Speaker 1: one of the problems that we have is that everyone

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Speaker 1: is so cynical because they're all in it for forty years.

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Speaker 1: They're they're going from city council to Assembly, to state

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Speaker 1: Senate to Congress. You know, even the person I'm running against.

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Speaker 1: A year after he got into the seat, he thought

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Speaker 1: about running for Congress. It's like, well, like, let's do

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Speaker 1: this job. This city matters, It should matter, it should

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Speaker 1: be your biggest priority, you know. But my dad's real estate.

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Speaker 1: My dad's real estate empire is at stake, though, so

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Speaker 1: I think this is the best way to help relieve

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Speaker 1: the pressure as if I get into the House representatives.

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Speaker 1: I'm not gonna David Rude of the Laundry List up

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Speaker 1: top this episode because I don't want to put you

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Speaker 1: in that position, but I think he might have to.

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Speaker 1: You might have to join join the Tucker Carlson's We're

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Speaker 1: here for Nthia. You know what, We're here for sure,

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Speaker 1: even if we're not in the district. And I really

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Speaker 1: encourage people like it's like the one bright light in

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Speaker 1: l A politics at the moment. You guys are so kind.

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Speaker 1: I'm so happy to be here. No, I mean just

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Speaker 1: I'm I'm just as grateful to see people like you

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Speaker 1: know this is you, like you know your ship and

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Speaker 1: you are saying I know enough to do better. It

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Speaker 1: looks like the people who can do better are either

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Speaker 1: not interested or not able. So what is going on?

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Speaker 1: Because I see is a lot of pain and suffering

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Speaker 1: out there, and for whatever reason, these people are fine

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Speaker 1: because they can, you know, turn their blinders onto the

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Speaker 1: suffering in the streets and you couldn't. And that's really

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Speaker 1: like the most like one of the purest forms to

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Speaker 1: like engage in and to to you know, be an

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Speaker 1: ally for people who don't have any support. So yes,

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Speaker 1: thank you. And you know, I encourage anybody who like

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Speaker 1: feels they they're looking at their own city or a

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Speaker 1: situation like this, don't be bashful about it. Like if

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Speaker 1: you have a vision in your heart is in the

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Speaker 1: right place, like you damn sure better explore that because

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Speaker 1: there are a lot of people who don't care. Yeah,

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Speaker 1: can I say one thing to your listeners. I don't

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Speaker 1: know what your demographics of your listeners are, but I

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Speaker 1: you know, I'm thirty nine now. When I was when

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Speaker 1: I first ran, I decided to run, I was thirty

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Speaker 1: eight years old. It took me thirty eight years to

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Speaker 1: step up. And I just want to tell all your

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Speaker 1: listeners you don't have to wait that long, you know.

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Speaker 1: I hope you find the courage to do it before

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Speaker 1: I did. It took me a long time just because

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Speaker 1: I didn't see models for that in my own life necessarily,

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Speaker 1: you know, I didn't see a lot of women of

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Speaker 1: color who were like me, who were in office and

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Speaker 1: things like that, so it wasn't my thing. But I

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Speaker 1: hope that young people get more excited about getting involved

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Speaker 1: in politics, and and don't wait as long as I did. Kids, Yeah, yeah,

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Speaker 1: you can. You can start rocking the boat as soon

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Speaker 1: as the second year eighteen exactly exactly. I'm glad you're

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Speaker 1: speaking the language of the kids rocking the boat. I said,

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Speaker 1: the boat rock. Hey, I like that. Jack. Hold all right, hey, kiddo,

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Speaker 1: you can start rocking the vote as now. I'm not

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Speaker 1: mad at that. Kids. Now you're speaking my language. Just

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Speaker 1: put a little guitar riff behind it. Maybe we'd uh

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Speaker 1: get some people voting here, am I right? Oh yeah,

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Speaker 1: all right, let's tell his mud honey to be the

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Speaker 1: face of this campaign. All right, we're gonna get to

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Speaker 1: know you a little bit better in a moment, and

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Speaker 1: if you first, we're going to tell our listeners a

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Speaker 1: few of the things we're talking about today. We're gonna

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Speaker 1: check in with the r n C. We're gonna look

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Speaker 1: at polling that says that Trump's position is improving nationally. Uh. Actually,

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Speaker 1: I'd love to get your thoughts on polling, Nethew. We're

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Speaker 1: gonna talk about the militarization of white supremacy in Wisconsin.

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Speaker 1: A couple of nights ago, we're gonna talk about the

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Speaker 1: c d C. We're gonna talk about how COVID is

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Speaker 1: affecting the return to college uh in schools like University

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Speaker 1: of Alabama, all of that plenty more. But first, nithe

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Speaker 1: we like task our guests, what is something from your

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Speaker 1: search history? Uh that is revealing about who you are? Oh? Boy,

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Speaker 1: um I did look for the writer of Aaron Brockovich. Ah, yeah,

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Speaker 1: I was like it wasn't I'm like, is that a book? No?

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Speaker 1: And because I was looking at movies, looking for movies recently,

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Speaker 1: and yeah, what about Aaron Brockovich that You're like, I need?

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Speaker 1: This is going to take some googling now what what

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Speaker 1: was sort of that pathway? Well, I you guys told

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Speaker 1: me that I was gonna have to talk about something

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Speaker 1: I was overrated and underrated. Yes, so my you know,

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Speaker 1: I all I've been doing recently is watching things I've

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Speaker 1: already watched before because my mind is unable to process

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Speaker 1: new things just because of the I think the immensity

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Speaker 1: of everything that's happening in the world. I can only

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Speaker 1: turn to the familiar, like reruns of old TV shows,

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Speaker 1: movies I've already seen. And so Aaron Brockovitch was on

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Speaker 1: that list, and I was like, well, who wrote this masterpiece? Yeah?

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Speaker 1: Who is it? Who's Whosanna Grant? I can't remember it. Yeah,

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Speaker 1: I had to look it up as well. Yeah, um,

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Speaker 1: that is truly a masterpiece. Great Polka Haunts, Damn Shoes,

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Speaker 1: Charlotte's Web, Catch and Release, Susanne at Grant. Yeah, yeah,

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Speaker 1: um Aaron Brockovich. Also, it sounds like it could be

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Speaker 1: a Russian novel, maybe except for the errand part, but yeah,

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Speaker 1: that sounds like, yeah, spin off of the Americans. That's right.

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Speaker 1: What is something you think is overrated? Matthew, Well, so

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Speaker 1: I've been on this old movie kick and recently I

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Speaker 1: watched Sleepless in Seattle, which is amazing, and I basically

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Speaker 1: wept from the beginning of it till the end of it.

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Speaker 1: It's so sweet, so beautiful, structure of it is amazing.

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Speaker 1: And then I watched You've Got Mail, thinking I would

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Speaker 1: get more of the same, and I was sorely disappointed.

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Speaker 1: That's also Nora Efferent right, Yes, it was the follow up. Yeah,

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Speaker 1: giving you given, given the people what they want, I mean,

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Speaker 1: that was all. It's so confusing, like when you actually

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Speaker 1: think of like what Meg Ryan's arc is as a

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Speaker 1: business owner and her relationship to Tom Hanks and the

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Speaker 1: Fox Empire, and said, it's like, yeah, you know what, dude,

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Speaker 1: I don't care if you're like edging me out. I

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Speaker 1: love you, right, Yeah, that's true the whole this man

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Speaker 1: is coming for your business. You've already identified Fox Books

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Speaker 1: as the destroyer of independent bookstores, and now even though

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Speaker 1: there's all the subterfuge, you still love him and he

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Speaker 1: lies to her yeah constantly. Yeah, yes, Like the capitalism issues,

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Speaker 1: the issues with the business politics of it are really weird, right,

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Speaker 1: Jim Barnes and Noble and I would like to put

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Speaker 1: your why does this little boy keep spelling Fox in

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Speaker 1: front of me? Oh? Man, I can't know where part

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Speaker 1: of Fox Books? And then also like the dad has

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Speaker 1: like all the wild young like partners and things. It's

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Speaker 1: the whole thing. I was like, Wow, this is something creepy.

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Speaker 1: But then but I think the more the more troubling

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Speaker 1: thing is that he lies to her for the entire

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Speaker 1: movie or you know, and then she's like, okay, cool, yes,

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Speaker 1: I'm very into this to that part where she says

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Speaker 1: I wanted it to be you like that sticks in

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Speaker 1: my mind because I always remember like my stomach thinking

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Speaker 1: a little bit and just being like why yeah, Well, Also,

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Speaker 1: letn't not forget a stellar performance by Dave Chappelle as

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Speaker 1: like the friend Dave Chappelle, what is I watched it,

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Speaker 1: I think recently in the last two years or something,

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Speaker 1: because I was sort of on a similar kick of

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Speaker 1: like just kind of regressing and watching these nineties rom coms,

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Speaker 1: and I was just like, like, and Greg and year

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Speaker 1: was didn't he sucked in his Wasn't his character weird too?

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Speaker 1: In that I just remember not being very moved by

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Speaker 1: anyone on second viewing. So yeah, I mean even in

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Speaker 1: Sleepless in Seattle, there was some weird politics around the

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Speaker 1: partners that they had, Like who I forget who was

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Speaker 1: the guy who played her partner, Meg Ryan's partner that

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Speaker 1: she amicably Bill Pullman right, and his like fatal flaw

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Speaker 1: was that he had a lot of allergies. Door l dork,

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Speaker 1: get out of here. Like she introduces him to her

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Speaker 1: family and he sneezes, and you're like, this is faded

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Speaker 1: to end? What a loser? Like she's too nice, that's

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Speaker 1: his other thing. Like at the end, she's like I

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Speaker 1: gotta go see about this guy I've never met, and

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Speaker 1: he's like, do it. I want this for you. Uh yeah,

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Speaker 1: well I didn't realize You've got mail. Is based on

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Speaker 1: a book called The Perfumery. Yeah. It's also funny that

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Speaker 1: it's just like that very edge of the Internet being

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Speaker 1: discovered type of optimism that this is all going to

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Speaker 1: be great. Uh, anonymity on in personal relationships is gonna

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Speaker 1: be great and will in no way lead to uh,

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Speaker 1: men being horrifying to women and lying to them and

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Speaker 1: stalking them. So that should be a fun premise for

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Speaker 1: rom com. Yeah, guy's gas light in this woman her

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Speaker 1: whole entire business is at stake, and he's like, I

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Speaker 1: destroyed it and he gets her in the end. That

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Speaker 1: the story is for the guy. You're gonna love this.

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Speaker 1: But it makes sense that that was the most successful

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Speaker 1: of the Nora fron movies because it is like America

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Speaker 1: wins in the end, like the version of America that

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Speaker 1: people had in the nineties wins. You know, Big Corporation

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Speaker 1: is lovable and Tom Hanks, by the way, shout out

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Speaker 1: to uh, Gabby Hoffman, the actress from a Bunch of

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Speaker 1: Great Stuff. I didn't realize she's the little girl in

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Speaker 1: Sleepless in Seattle. Yes, I was very delighted to see

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Speaker 1: her face. She's so good. Yeah, she's such a talented

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Speaker 1: actress and I know, I know she's more and born

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Speaker 1: for this. She's amazing. What is something you think is underrated? Well? Yeah,

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Speaker 1: the thing I think is most underrated in the world

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Speaker 1: is soup. I love soup. Wow, what is with peep

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Speaker 1: two days in a row? But people who are who

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Speaker 1: are like politicians at the municipal level. We had a

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Speaker 1: someone from the city of Athens, Georgia. She Lingua franca.

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Speaker 1: She had her exacting was souper too. I'm like, yo,

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Speaker 1: this is like the wisest food. Then, like the people

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Speaker 1: who are getting active and involved, it's like the new

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Speaker 1: Gatorade is like soup. It's very practical, you know, right,

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Speaker 1: I wanna be I wanna be like Marijah Parker that

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Speaker 1: I feel well, I feel un original having had no

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Speaker 1: not no, they weren't the first person that I say

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Speaker 1: is soup either, But I'm always it's just this overlap

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Speaker 1: of like younger people getting involved in office at the

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Speaker 1: city level, and like they their love of soup. Yeah,

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Speaker 1: and I would yeah, and that you know, we already

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Speaker 1: talked about how important it is to get involved locally,

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Speaker 1: but I feel like that is underrated too. But soup

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Speaker 1: is more important. I think, what is your favorite soup?

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Speaker 1: Oh my god, it's Oh I can't. I love soup

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Speaker 1: so much. There's like categories of favors, you know, like

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Speaker 1: which rap albums your favorite? Jack? Yeah, you can't, you can't.

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Speaker 1: You can't say, you know, like like what's your favorite

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Speaker 1: noodle soup would be a better question. Favorite? Okay, So

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Speaker 1: COVID favorite, current COVID favorite for noodle soup is there's

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Speaker 1: a soup from India called Maggie. It's like a Maggie

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Speaker 1: ram Raman packet and we make it at home. Now

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Speaker 1: it's like our easy COVID dinner and you doctor it.

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Speaker 1: So you like make the soup and then you add

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Speaker 1: all kinds of toppings, like whatever vegetables we have in

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Speaker 1: the house. We ad a Friday egg on top, and

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Speaker 1: it is the best meal, the best. So that's my

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Speaker 1: current favorite soup. And if the world was out there

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Speaker 1: in the restaurants, you were able to patron and be

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Speaker 1: a patron at where where's this? What's the soup you've

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Speaker 1: been thinking about. Oh, there's two soups that I love.

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Speaker 1: One is, um, there's a tie restaurant in Silver called

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Speaker 1: Night and Market Song. Oh yeah yeah and uh and

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Speaker 1: that has a really good noodle soup curry noodle soup,

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Speaker 1: which is incredible. And then the other one is a

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Speaker 1: restaurant called out Lock, which is in downtown l A.

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Speaker 1: It's a vegan restaurant and a lot of their foods

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Speaker 1: are raw and they make this raw uh raw soup

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Speaker 1: which is called I think it's called. It has like

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Speaker 1: spirolina in it. It has it's just the most incredible.

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Speaker 1: I've never tasted anything like it. So good. Yeah, it

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Speaker 1: sounds good. Uh. And finally, what is a myth? What

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Speaker 1: something people think it is true? You know to be false? Okay,

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Speaker 1: well here can I say something serious for this one? Okay? Well, um,

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Speaker 1: So one of the questions I get most in my

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Speaker 1: campaign is about unhoused people, about people experiencing homelessness. And

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Speaker 1: a lot of people say, oh, I hear from folks

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Speaker 1: that or I think a lot of people who are

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Speaker 1: homeless don't want a house, that they are that they

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Speaker 1: are to unquote service resistant, which is a term that

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Speaker 1: you hear in the papers and said that they don't

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Speaker 1: want services, that they don't want to get into, a

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Speaker 1: shelter bed that they don't want to get in. And

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Speaker 1: I feel like that that is the biggest myth that

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Speaker 1: we hear on the campaign trail, and I'm always talking

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Speaker 1: about ways in which I can prove to you that

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Speaker 1: that's wrong, and that if we actually made beds available,

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Speaker 1: if we've made housing available, if we made sure people

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Speaker 1: were able to stay in their house, we would not

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Speaker 1: be in the situation that we're in in Los Angeles.

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Speaker 1: This is not about resistance. This is about lack of

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Speaker 1: provision of services and of tenant protections. That's it is

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Speaker 1: that myth kind of born out of like a very

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Speaker 1: narrow thing, and then that sort of became the overarching

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Speaker 1: theme in terms of like how unhoused communities are looked at.

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Speaker 1: Or is it is it just a very disingenuous attack

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Speaker 1: from like the people who are like the Nimbi folks,

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Speaker 1: or I don't know, and I you know, I don't

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Speaker 1: think so, or for the most part, I don't think so.

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Speaker 1: I think, of course there's always people who are you know,

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Speaker 1: saying this in bad faith, But I think for the

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Speaker 1: most part, people have just seen a homelessness crisis that

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Speaker 1: has only grown in there in especially in the last

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Speaker 1: few years. Right like our on house population here in

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Speaker 1: l A has gone up by seventy eight percent since

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Speaker 1: right It's just like staggering the amount of growth. And

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Speaker 1: I think people see um individuals living in encampments in

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Speaker 1: their neighborhood that they've seen for years, and they just

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Speaker 1: get into this thing of Okay, well they don't want

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Speaker 1: to go inside. You know, I'm sure that I'm paying

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Speaker 1: all these taxes for homeless services. They must be getting

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Speaker 1: the help that they need, and they're saying no, when

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Speaker 1: in reality that's so not the case. And you know,

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Speaker 1: one fact I always share with people, which I feel

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Speaker 1: like really really makes people step back, is you know,

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Speaker 1: New York City has a larger population of of people

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Speaker 1: who are homeless right, um, but so many fewer people

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Speaker 1: who live on the streets because they have the number

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Speaker 1: of shelter beds that they need for every person experiencing

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Speaker 1: homelessness in New York. That's part of a court case

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Speaker 1: that was in the City of New York that forces

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Speaker 1: them to do that. And so because of that, you

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Speaker 1: just see much less visible homelessness. And so when you

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Speaker 1: tell people that, you're like, oh, yeah, that's right. And

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Speaker 1: l A has less than a quarter of the shelter

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Speaker 1: beds that we need. So a big part of why

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Speaker 1: people are on the streets and continue to be on

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Speaker 1: the streets, it's because they don't have a place to go.

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Speaker 1: And so I think that really it really helps to

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Speaker 1: open up the conversation about not about anger towards people

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Speaker 1: who are living on the streets, but anger towards the

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Speaker 1: city that's done wrong by them, of course, but by

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Speaker 1: all of us. You know, Yeah, that's so deeply American

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Speaker 1: to blame the individual rather than the system, Like that

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Speaker 1: just seems to be the way the story that Americans

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Speaker 1: want to tell ourselves. Yeah, so they're sort of like

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Speaker 1: the worst rhetorical habit we have when engaging in an

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Speaker 1: issue like that. It's almost like like the normally you'd

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Speaker 1: be like, yeah, what's wrong with them? And what is

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Speaker 1: the conditions in which this occurred? Because that is actually

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Speaker 1: more important than Hey, what's your story? Do you like

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Speaker 1: living on the street? To know there's there's a whole

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Speaker 1: path that got there. They got there, and a number

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Speaker 1: of failures occurred on along the way to end up there,

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Speaker 1: and I think, yeah, we just have this lack of

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Speaker 1: wanting to like say our parents are shitty or something

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Speaker 1: that like that the politicians or the country could be better,

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Speaker 1: and then it's better to be like, well, it's got

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Speaker 1: to be them because I'm doing okay, and so that's

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Speaker 1: it's not the system because I'm okay in it. Yeah,

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Speaker 1: And I just want to say one thing about Americans,

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Speaker 1: which is this is not an immutable fact about Americans, right,

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Speaker 1: because the campaign has been so successful at pushing back

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Speaker 1: on that, and I feel like people want to push

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Speaker 1: back on that. They want to believe the best about

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Speaker 1: other humans, and I think they want to be able

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Speaker 1: to respond to this issue and every other issue with

424
00:23:52,680 --> 00:23:55,720
Speaker 1: with compassion. Most people do. And I think if you

425
00:23:55,760 --> 00:23:59,639
Speaker 1: tell them we have failed in providing evidence based compassionate

426
00:23:59,640 --> 00:24:04,960
Speaker 1: solution is here in Los Angeles, but we can, They're like, oh, yes, okay, perfect,

427
00:24:05,040 --> 00:24:07,000
Speaker 1: let's do that. You know they don't want to be

428
00:24:07,119 --> 00:24:10,120
Speaker 1: They don't. I don't. I mean, I wouldn't be doing

429
00:24:10,160 --> 00:24:13,200
Speaker 1: this if I I didn't believe that most people felt

430
00:24:13,280 --> 00:24:17,879
Speaker 1: that way, you know. Yeah, I feel like we've seen

431
00:24:18,240 --> 00:24:22,920
Speaker 1: things metastasize like seeing some of these beliefs that have

432
00:24:23,000 --> 00:24:26,760
Speaker 1: been kind of core to the American ethos just metastasized

433
00:24:26,840 --> 00:24:30,080
Speaker 1: so badly. And also there's sort of a disconnect with

434
00:24:30,160 --> 00:24:33,560
Speaker 1: younger people and you know, millennials and gen z that

435
00:24:33,720 --> 00:24:37,199
Speaker 1: I am really hopeful that that is going to be

436
00:24:37,240 --> 00:24:40,719
Speaker 1: a relic of the past, that that idea of like

437
00:24:40,760 --> 00:24:45,560
Speaker 1: individualism and the idea that socialism is like a bad word.

438
00:24:46,160 --> 00:24:48,480
Speaker 1: All right, let's take a quick break and we'll be

439
00:24:48,600 --> 00:25:02,960
Speaker 1: right back. And we're bad and uh, let's check in

440
00:25:03,000 --> 00:25:10,000
Speaker 1: with the r n c. Uh media loves them some Milania.

441
00:25:11,040 --> 00:25:13,640
Speaker 1: I mean, look, look, pick your poison. It was either

442
00:25:13,760 --> 00:25:17,960
Speaker 1: people either talking about the numerous Hatch Act violations or

443
00:25:18,520 --> 00:25:23,920
Speaker 1: Milannia Trump. Uh. It's so I can't believe how badly

444
00:25:24,080 --> 00:25:27,800
Speaker 1: the mainstream media wants to like Milannia Trump. Like It's

445
00:25:27,920 --> 00:25:30,480
Speaker 1: so bizarre to me because on one hand, I think

446
00:25:30,480 --> 00:25:34,320
Speaker 1: we all remember her, I don't care really like trench

447
00:25:34,359 --> 00:25:37,320
Speaker 1: coat that she wore when she was going to the border. Um.

448
00:25:37,359 --> 00:25:40,360
Speaker 1: But yet when she goes and makes a speech and

449
00:25:40,560 --> 00:25:45,320
Speaker 1: just because there weren't any racial slurs or plagiarism, that

450
00:25:45,600 --> 00:25:48,359
Speaker 1: suddenly were like, oh, yes, we found the moral center.

451
00:25:48,400 --> 00:25:51,440
Speaker 1: The moral heartbeat of this country. Uh, it was really

452
00:25:51,520 --> 00:25:55,520
Speaker 1: surreal m because it truly everything she said was quite

453
00:25:55,560 --> 00:25:58,640
Speaker 1: a like absolutely the bare minimum of what you could

454
00:25:58,680 --> 00:26:00,520
Speaker 1: say as someone who's in a position and of power

455
00:26:00,760 --> 00:26:03,520
Speaker 1: amidst a pandemic when hundreds of thousands of lives are

456
00:26:03,520 --> 00:26:07,280
Speaker 1: being lost. Right, I wonder And and the other thing

457
00:26:07,400 --> 00:26:12,000
Speaker 1: was the flagrant Hatch Act violations. I just it seems

458
00:26:12,040 --> 00:26:15,560
Speaker 1: like this is a feature of their plan and not

459
00:26:15,680 --> 00:26:18,720
Speaker 1: a bug, right, Like this is the idea is to

460
00:26:19,119 --> 00:26:22,760
Speaker 1: break the law in a way that is distracting and

461
00:26:22,840 --> 00:26:26,280
Speaker 1: gets the media outraged, because trolling the media is the

462
00:26:26,359 --> 00:26:30,240
Speaker 1: whole game. Now, I feel like sure, I mean, yeah,

463
00:26:30,359 --> 00:26:34,000
Speaker 1: the the you know, um Mark Meadows, the chief of

464
00:26:34,000 --> 00:26:36,159
Speaker 1: Staff that he's like, you know, honestly, nobody outside the

465
00:26:36,160 --> 00:26:39,720
Speaker 1: Beltway cares about the Hatch Act, Like really it's really nothing.

466
00:26:39,760 --> 00:26:42,040
Speaker 1: It's it's it's a non issue. And really then the

467
00:26:42,119 --> 00:26:44,520
Speaker 1: whole idea behind the Hatch Act is that you're not

468
00:26:44,640 --> 00:26:48,600
Speaker 1: allowed to use government resources in like a partisan political

469
00:26:48,640 --> 00:26:51,680
Speaker 1: campaign or election context, Like that's what you have a

470
00:26:51,720 --> 00:26:55,760
Speaker 1: campaign fundraising arm for, so you're not using taxpayer money

471
00:26:56,000 --> 00:26:58,240
Speaker 1: to boost your chances at re election. That's the whole

472
00:26:58,240 --> 00:27:01,680
Speaker 1: point here, or using your position office to help and

473
00:27:01,800 --> 00:27:05,520
Speaker 1: you know, an elected official or someone who's running. So yeah,

474
00:27:05,560 --> 00:27:08,680
Speaker 1: but again I guess because the Trump thing has they're

475
00:27:08,720 --> 00:27:10,760
Speaker 1: trying to make it be like no one cares. You see.

476
00:27:10,800 --> 00:27:12,960
Speaker 1: It's like no, no, no, because that's the slippery slope

477
00:27:13,000 --> 00:27:15,320
Speaker 1: you want to go down where no one cares, and

478
00:27:15,359 --> 00:27:16,960
Speaker 1: you can begin to blur these lines of like, well,

479
00:27:17,000 --> 00:27:20,840
Speaker 1: what's actually you know, well, how is this system being

480
00:27:20,840 --> 00:27:25,600
Speaker 1: taken advantage of? And how is it not right? Sometimes

481
00:27:25,680 --> 00:27:30,439
Speaker 1: I feel like the media does plays both sides of

482
00:27:30,440 --> 00:27:32,520
Speaker 1: this too, you know, like they get really upset about

483
00:27:32,520 --> 00:27:34,639
Speaker 1: the Hatch Act, but then they also complained that they

484
00:27:34,640 --> 00:27:37,000
Speaker 1: can't write about the Hatch Act because we don't care

485
00:27:37,040 --> 00:27:40,040
Speaker 1: about the Hatch Act and violations. And you know, so

486
00:27:40,160 --> 00:27:42,680
Speaker 1: sometimes I get a little bit frustrated to watching all

487
00:27:42,720 --> 00:27:44,760
Speaker 1: of this because I think will make us care, tell

488
00:27:44,840 --> 00:27:46,919
Speaker 1: us why this is important, tell us why the stakes

489
00:27:46,960 --> 00:27:50,560
Speaker 1: are high? You know, right, we're like, oh, that's that's

490
00:27:50,600 --> 00:27:52,320
Speaker 1: the old school media. We don't we just kind of

491
00:27:52,359 --> 00:27:55,040
Speaker 1: tell you what happened these days. I could go that

492
00:27:55,119 --> 00:27:57,240
Speaker 1: far to help you. Yeah, don't do that right now,

493
00:27:57,280 --> 00:28:01,640
Speaker 1: that's not the time for that it's it's it's really fresh.

494
00:28:01,720 --> 00:28:03,520
Speaker 1: And then on top of that, you had Mike Pompeo

495
00:28:03,880 --> 00:28:08,960
Speaker 1: literally beaming in from Israel to give his speech about

496
00:28:08,960 --> 00:28:13,199
Speaker 1: how King Trump has won the Isis war and you know,

497
00:28:13,359 --> 00:28:15,480
Speaker 1: loved Kim Jong lun so hard he may be in

498
00:28:15,520 --> 00:28:18,000
Speaker 1: a coma right now. They like it. The whole thing

499
00:28:18,119 --> 00:28:21,399
Speaker 1: was so hollow. And I keep using that word because

500
00:28:21,400 --> 00:28:25,040
Speaker 1: it's really just these empty sort of bullet point checklist

501
00:28:25,040 --> 00:28:27,080
Speaker 1: thing they go down and when you think about it,

502
00:28:27,160 --> 00:28:30,960
Speaker 1: like I don't work for Raytheon like that, that accomplishment

503
00:28:31,000 --> 00:28:33,240
Speaker 1: doesn't help me. I'm not an arms dealer. I'm not

504
00:28:33,280 --> 00:28:36,280
Speaker 1: part of the military industrial complex or the prison industrial complex.

505
00:28:36,480 --> 00:28:40,120
Speaker 1: I don't benefit from these like reforms quote unquote. But again,

506
00:28:40,160 --> 00:28:42,560
Speaker 1: it's just to get this drum going of like this

507
00:28:42,640 --> 00:28:45,200
Speaker 1: is the leader. Don't worry about how bad the last

508
00:28:45,200 --> 00:28:49,720
Speaker 1: four years are because he's macho. And it's yeah, but

509
00:28:49,800 --> 00:28:52,640
Speaker 1: I guess it's it seems to be there their whole

510
00:28:52,720 --> 00:28:55,480
Speaker 1: entire strategy now. So that that brings us to some

511
00:28:55,640 --> 00:28:59,120
Speaker 1: recent polling, both like some specific polls they came out,

512
00:28:59,160 --> 00:29:05,920
Speaker 1: but also just pulling averages that you know, uses that

513
00:29:05,920 --> 00:29:10,160
Speaker 1: that suggests Trump's position is improving, that Biden didn't really

514
00:29:10,200 --> 00:29:14,520
Speaker 1: get a convention bounce, and that now it's a closer race.

515
00:29:15,360 --> 00:29:19,840
Speaker 1: And I find myself like unhealthily addicted to checking the ship.

516
00:29:20,480 --> 00:29:25,520
Speaker 1: But ntea as somebody who's actively running, Like, how, what

517
00:29:25,880 --> 00:29:29,880
Speaker 1: how do you think about polls? Well? So, uh, you know,

518
00:29:29,920 --> 00:29:33,440
Speaker 1: in the primary, we couldn't really even afford polling, so

519
00:29:33,480 --> 00:29:36,400
Speaker 1: we had no we had no polls. Right. I know

520
00:29:36,760 --> 00:29:39,000
Speaker 1: the person I'm running against did some polls, but a

521
00:29:39,040 --> 00:29:43,280
Speaker 1: lot of the polling that's done it in races. You know,

522
00:29:43,320 --> 00:29:46,120
Speaker 1: obviously at the at the federal level it's really different.

523
00:29:46,160 --> 00:29:49,640
Speaker 1: But at the local level, it's about messaging, right, It's

524
00:29:49,640 --> 00:29:52,920
Speaker 1: about what lands with what audience. So should I be

525
00:29:53,040 --> 00:29:56,080
Speaker 1: talking about this issue in this way? So you're actually

526
00:29:56,480 --> 00:30:01,160
Speaker 1: polling not an outcome, but what you're policies should be.

527
00:30:01,880 --> 00:30:05,800
Speaker 1: And so for me, it's like, to me, polls are

528
00:30:05,840 --> 00:30:08,200
Speaker 1: really unhelpful because if you're running because you want to

529
00:30:08,280 --> 00:30:10,240
Speaker 1: change things, if you're running because you want to see

530
00:30:10,240 --> 00:30:15,400
Speaker 1: particular policies put out into the into the world, that's

531
00:30:15,440 --> 00:30:20,120
Speaker 1: what you should be focusing on, right And and uh,

532
00:30:20,160 --> 00:30:22,560
Speaker 1: and I do think that talking about the issues, like

533
00:30:22,880 --> 00:30:26,320
Speaker 1: talking about this horse race between Trump and Biden, Like,

534
00:30:26,360 --> 00:30:28,280
Speaker 1: what if we just kept talking about the fact that

535
00:30:28,320 --> 00:30:31,120
Speaker 1: we're not getting that six dollars anymore? That expanded U

536
00:30:31,200 --> 00:30:34,400
Speaker 1: I wouldn't we just win the wouldn't the Democrats just

537
00:30:34,400 --> 00:30:37,320
Speaker 1: win the election? We're like, we're gonna wait, We're gonna

538
00:30:37,360 --> 00:30:40,640
Speaker 1: give you six hundred dollars if we win, right, Like

539
00:30:40,680 --> 00:30:43,760
Speaker 1: Trump had a shot and he actually knocked that benefit down,

540
00:30:43,960 --> 00:30:47,080
Speaker 1: so he took it away from me exactly. And it's

541
00:30:47,080 --> 00:30:50,040
Speaker 1: just like, who who cares about these numbers? I don't

542
00:30:50,040 --> 00:30:52,320
Speaker 1: know that's but that's just how But I think that's

543
00:30:52,360 --> 00:30:55,880
Speaker 1: the difference in between this new generation of politicians who

544
00:30:55,880 --> 00:30:58,760
Speaker 1: are entering, which is again most old school. Like when

545
00:30:58,800 --> 00:31:00,880
Speaker 1: I was working in politics, you would look at polls

546
00:31:00,880 --> 00:31:02,760
Speaker 1: and be like you would say something like, well, the

547
00:31:03,000 --> 00:31:06,440
Speaker 1: you know, Affordable Care Act isn't polling well, like maybe

548
00:31:06,520 --> 00:31:08,720
Speaker 1: we need to we need to change tax based on

549
00:31:08,720 --> 00:31:11,920
Speaker 1: all this research we're doing. But it's again, you're if

550
00:31:11,920 --> 00:31:14,520
Speaker 1: you're being dissuaded by the polling, now you've completely lost

551
00:31:14,520 --> 00:31:17,240
Speaker 1: your sense of purpose, which is give the people the

552
00:31:17,280 --> 00:31:21,640
Speaker 1: ability to have health insurance they can afford um. And yeah,

553
00:31:21,680 --> 00:31:24,640
Speaker 1: there there are moments where we find ourselves. Like at

554
00:31:24,680 --> 00:31:27,160
Speaker 1: the end of the day, sometimes the intent really has

555
00:31:27,200 --> 00:31:29,200
Speaker 1: to sort of be the overarching theme. But again with

556
00:31:29,240 --> 00:31:32,200
Speaker 1: this pulling, it's to your point of like it helps

557
00:31:32,200 --> 00:31:34,640
Speaker 1: you fiate dial in your messaging. I think it's clear

558
00:31:34,720 --> 00:31:37,640
Speaker 1: what the Trump campaign is saying is that, like, hey man,

559
00:31:37,720 --> 00:31:40,800
Speaker 1: let's just go pedal the metal, white supremacy, xenophobia, every

560
00:31:40,800 --> 00:31:44,160
Speaker 1: phobia out there. Because that seems depending on the audience.

561
00:31:44,160 --> 00:31:46,760
Speaker 1: I'll talk to suburban housewives in this way, I will

562
00:31:46,800 --> 00:31:50,560
Speaker 1: talk to working people this way. But it seems like

563
00:31:50,600 --> 00:31:55,400
Speaker 1: it's all coming from the same putred buffete, putred buffet.

564
00:31:55,400 --> 00:32:01,760
Speaker 1: I love that favorite, my favorite kind of and they're

565
00:32:01,800 --> 00:32:06,320
Speaker 1: going for seconds and they're going for thirds now eventually,

566
00:32:07,640 --> 00:32:12,120
Speaker 1: all right, let's talk about Wisconsin. You know we we've

567
00:32:12,160 --> 00:32:18,200
Speaker 1: talked before on this show about this sort of fantasy

568
00:32:18,680 --> 00:32:22,680
Speaker 1: of you know, protect your property with firearms. You know,

569
00:32:22,760 --> 00:32:26,120
Speaker 1: they'll they'll even go out of their way to uh

570
00:32:26,320 --> 00:32:31,200
Speaker 1: make fake memes that suggest looting is a problem after hurricanes,

571
00:32:31,240 --> 00:32:36,040
Speaker 1: as we talked about, the media will focus specifically on

572
00:32:36,080 --> 00:32:41,480
Speaker 1: any property damage that happens during peaceful protests. You don't

573
00:32:41,480 --> 00:32:43,520
Speaker 1: have to talk about white supremacy thing. You don't have

574
00:32:43,560 --> 00:32:46,960
Speaker 1: to talk about white supremacy, and it seems to have

575
00:32:47,080 --> 00:32:50,040
Speaker 1: killed two people. In Wisconsin last night there were reports

576
00:32:50,040 --> 00:32:54,800
Speaker 1: of armed civilians, like armed militia who explicitly showed up

577
00:32:54,840 --> 00:32:59,040
Speaker 1: to protect you know, like gas stations in their in

578
00:32:59,040 --> 00:33:03,400
Speaker 1: their neighborhood, and one of them started shooting protesters. And

579
00:33:03,480 --> 00:33:07,320
Speaker 1: it was captured on on video. The person is jogging

580
00:33:07,320 --> 00:33:10,200
Speaker 1: down the middle of the street with a assault rifle

581
00:33:10,840 --> 00:33:14,600
Speaker 1: and people are trying he had apparently at that point

582
00:33:14,760 --> 00:33:18,960
Speaker 1: had shot someone and been heard on his phone saying

583
00:33:18,960 --> 00:33:22,160
Speaker 1: I just killed someone. Uh. Then he's jogging down the street.

584
00:33:22,200 --> 00:33:25,680
Speaker 1: People come up trend disarm him. He shoots them, uh,

585
00:33:25,720 --> 00:33:28,280
Speaker 1: and then runs up to the police with his hands

586
00:33:28,320 --> 00:33:31,400
Speaker 1: up and it's like they're they're like, what are you doing? Man? Wait,

587
00:33:31,880 --> 00:33:34,920
Speaker 1: you're good, you can go along. Waved him off, walked

588
00:33:34,920 --> 00:33:40,120
Speaker 1: off into the night, and it wasn't apprehended. Um. The contrast,

589
00:33:40,200 --> 00:33:41,880
Speaker 1: you know, like within that city, do you have a

590
00:33:41,880 --> 00:33:44,880
Speaker 1: black man with no gun with his back turned when

591
00:33:44,960 --> 00:33:47,680
Speaker 1: he has shot seven you know, he's now we find

592
00:33:47,680 --> 00:33:51,720
Speaker 1: out he survived, but he may not be able to walk. Um,

593
00:33:51,760 --> 00:33:53,800
Speaker 1: And you have somebody out here is just straight up

594
00:33:53,960 --> 00:33:58,600
Speaker 1: killing people and the just could walk right through the

595
00:33:58,640 --> 00:34:02,360
Speaker 1: police with protesters saying that man just shot someone, that

596
00:34:02,400 --> 00:34:05,720
Speaker 1: guy with the gun shot someone, and he can just

597
00:34:07,080 --> 00:34:12,080
Speaker 1: take off like kaisersels. It's I mean, you know, it

598
00:34:12,160 --> 00:34:14,920
Speaker 1: really is. This is this this really morbid rhythm of

599
00:34:15,000 --> 00:34:19,680
Speaker 1: this country. And yeah, and it keeps intensifying, you know,

600
00:34:19,800 --> 00:34:23,520
Speaker 1: and it's of course we have there there's just like

601
00:34:23,640 --> 00:34:26,239
Speaker 1: NonStop drumbeat, especially if you're like a on the right

602
00:34:26,239 --> 00:34:29,880
Speaker 1: wing of like these people are coming to tear the

603
00:34:30,000 --> 00:34:33,000
Speaker 1: cities down, and all they can do is narrowly use

604
00:34:33,080 --> 00:34:35,840
Speaker 1: this footage of people outraged, not because they're there to

605
00:34:35,880 --> 00:34:40,240
Speaker 1: tear your city down, but because of generations of mistreatment

606
00:34:40,960 --> 00:34:44,680
Speaker 1: is now manifesting into these protests and these uprisings and

607
00:34:44,719 --> 00:34:46,440
Speaker 1: things like that, and it's just used to sort of

608
00:34:46,480 --> 00:34:48,799
Speaker 1: to your point, Jack, just do this thing where the

609
00:34:48,840 --> 00:34:51,640
Speaker 1: one context where Americans are like, well, I could shoot

610
00:34:51,640 --> 00:34:54,120
Speaker 1: anybody if it's in the private property, like I can

611
00:34:54,200 --> 00:34:56,600
Speaker 1: use my private property defense. And that is like that

612
00:34:56,640 --> 00:34:59,239
Speaker 1: one arena that is really this weird thing where there's

613
00:34:59,280 --> 00:35:02,200
Speaker 1: people on top of the businesses. The cops are like, hey,

614
00:35:02,600 --> 00:35:04,640
Speaker 1: like you have guns up there, get inside, what are

615
00:35:04,640 --> 00:35:06,560
Speaker 1: you doing? And they're like officer this is our business

616
00:35:06,560 --> 00:35:09,440
Speaker 1: and the cops are like, okay, carry on, then what

617
00:35:09,520 --> 00:35:12,680
Speaker 1: did that? So you know, it's a really terrible cycle,

618
00:35:13,440 --> 00:35:15,960
Speaker 1: Nitthia for you and I've heard you speak about this,

619
00:35:16,040 --> 00:35:18,200
Speaker 1: and especially like when a city like l A that

620
00:35:18,360 --> 00:35:22,080
Speaker 1: is just given the cash away to the sheriff's department

621
00:35:22,080 --> 00:35:26,480
Speaker 1: in the police department. Um, you know, the whole idea

622
00:35:26,840 --> 00:35:31,680
Speaker 1: of the defund the police. It's it. It had a

623
00:35:31,719 --> 00:35:35,239
Speaker 1: sort of a moment where people were sincerely engaging with

624
00:35:35,360 --> 00:35:38,600
Speaker 1: this discourse, this idea of how to actually better fund

625
00:35:38,600 --> 00:35:43,120
Speaker 1: our communities. But um, you know, looking at this and

626
00:35:43,160 --> 00:35:47,400
Speaker 1: seeing like what the essentially with the kind of climate

627
00:35:47,440 --> 00:35:50,960
Speaker 1: you'd be walking into as a city council member, you know,

628
00:35:51,520 --> 00:35:53,160
Speaker 1: what do you think are sort of like the highest

629
00:35:53,160 --> 00:35:55,640
Speaker 1: priority in terms of sort of like this de escalation

630
00:35:55,760 --> 00:35:58,719
Speaker 1: with a police force that just brutalizes the poor and

631
00:35:59,520 --> 00:36:02,000
Speaker 1: you know on white Well, you know, one thing I

632
00:36:02,000 --> 00:36:04,919
Speaker 1: want to say is that we we don't have we

633
00:36:04,920 --> 00:36:06,839
Speaker 1: we're not seeing, at least in l A this kind

634
00:36:06,840 --> 00:36:10,879
Speaker 1: of paramilitary force. So you know, this kind of thing.

635
00:36:10,960 --> 00:36:14,160
Speaker 1: So I think it's a very different situation here. But

636
00:36:14,280 --> 00:36:18,760
Speaker 1: for me, a big part of thinking about policing here

637
00:36:18,960 --> 00:36:23,160
Speaker 1: in Los Angeles is thinking about how our police are

638
00:36:23,239 --> 00:36:26,360
Speaker 1: doing things that they were never supposed to be doing.

639
00:36:27,000 --> 00:36:29,920
Speaker 1: So here in l A, a lot of what is

640
00:36:30,040 --> 00:36:33,640
Speaker 1: the primary interaction between, for example, our on house population

641
00:36:34,040 --> 00:36:37,560
Speaker 1: and our city ends up being the police. Uh. And

642
00:36:37,640 --> 00:36:40,200
Speaker 1: that's how we set up the system to function. In fact,

643
00:36:40,239 --> 00:36:42,879
Speaker 1: when I worked at city Hall briefly a few few

644
00:36:42,960 --> 00:36:47,160
Speaker 1: years ago, UM, I found that almost of the spending

645
00:36:47,160 --> 00:36:49,600
Speaker 1: that we were doing on homelessness at the time was

646
00:36:49,640 --> 00:36:52,840
Speaker 1: spent on putting on housed people in jail right instead

647
00:36:52,880 --> 00:36:58,640
Speaker 1: of actually providing people care. And that we had created

648
00:36:58,680 --> 00:37:00,960
Speaker 1: a system through which l A p was are always

649
00:37:00,960 --> 00:37:04,040
Speaker 1: our first responders for homelessness, even when there was no violence.

650
00:37:04,239 --> 00:37:06,000
Speaker 1: In fact, most of the time it's not a violent

651
00:37:06,000 --> 00:37:08,760
Speaker 1: call for service. UM. And that's not just true related

652
00:37:08,800 --> 00:37:11,920
Speaker 1: to homelessness. That's true across police calls for service, not

653
00:37:12,040 --> 00:37:14,719
Speaker 1: just in l A but across the country. And yet

654
00:37:14,760 --> 00:37:17,000
Speaker 1: in response to these calls for service, we were always

655
00:37:17,040 --> 00:37:23,040
Speaker 1: sending police who were not trained to address the root

656
00:37:23,160 --> 00:37:26,840
Speaker 1: cause of why someone would be drinking in public or

657
00:37:27,000 --> 00:37:29,200
Speaker 1: having a shopping cart, or would or would have a

658
00:37:29,280 --> 00:37:32,200
Speaker 1: tent up during the day, which is that they don't

659
00:37:32,239 --> 00:37:35,160
Speaker 1: have a home and so if we had set up

660
00:37:35,160 --> 00:37:37,680
Speaker 1: a system through which we were actually sending people out

661
00:37:38,120 --> 00:37:42,120
Speaker 1: who were trained to do outreach, to do homelessness response,

662
00:37:42,640 --> 00:37:46,239
Speaker 1: to do any of that stuff, then we would have

663
00:37:46,320 --> 00:37:48,880
Speaker 1: a very very different system here in Los Angeles. And

664
00:37:49,160 --> 00:37:51,480
Speaker 1: you know, I think we would we wouldn't need this

665
00:37:51,640 --> 00:37:53,440
Speaker 1: the police to take up so much of our budget

666
00:37:53,480 --> 00:37:55,840
Speaker 1: because we would be spending on systems of care that

667
00:37:55,880 --> 00:37:59,680
Speaker 1: actually addressed the root cause of the issues for which

668
00:37:59,719 --> 00:38:02,239
Speaker 1: people we're calling the police about. Yeah, so I think

669
00:38:02,280 --> 00:38:06,120
Speaker 1: that's really the priority in l A going forward, because

670
00:38:06,120 --> 00:38:09,080
Speaker 1: what's the statistic in the county of actual like sort

671
00:38:09,080 --> 00:38:12,400
Speaker 1: of crisis intervention social worker type people we have that

672
00:38:12,480 --> 00:38:15,200
Speaker 1: we can send to calls like that, isn't it something

673
00:38:15,200 --> 00:38:17,640
Speaker 1: like under twenty or something like Well, so when I

674
00:38:17,719 --> 00:38:20,560
Speaker 1: worked at the city, we had invested in a total

675
00:38:20,719 --> 00:38:25,120
Speaker 1: of nineteen outreach workers for the entire city and county together, right,

676
00:38:25,560 --> 00:38:27,839
Speaker 1: And that's to do sort of the work you're talking about,

677
00:38:28,000 --> 00:38:30,120
Speaker 1: is to say, rather than sending a police officer, call

678
00:38:30,239 --> 00:38:33,600
Speaker 1: this person who can approach them understand the human being

679
00:38:33,600 --> 00:38:36,319
Speaker 1: they're dealing with, rather than the nuisance or guy who's

680
00:38:36,400 --> 00:38:39,640
Speaker 1: drunk in my alley or whatever. To actually address that

681
00:38:39,920 --> 00:38:43,360
Speaker 1: nineteen Yeah, and I think now we have more, but

682
00:38:43,440 --> 00:38:48,239
Speaker 1: we still have a system that's primarily oriented around punishment

683
00:38:48,480 --> 00:38:52,080
Speaker 1: and policing as opposed to care. And I think we

684
00:38:52,160 --> 00:38:56,279
Speaker 1: can really push it in a much better direction. And

685
00:38:56,840 --> 00:38:59,120
Speaker 1: we should. I mean, it's not just it's not just

686
00:38:59,200 --> 00:39:03,000
Speaker 1: about a moral issue. It's also like, this is what

687
00:39:03,120 --> 00:39:07,120
Speaker 1: is going to work to end homelessness? Sufficient Yeah, when

688
00:39:07,160 --> 00:39:11,799
Speaker 1: you look at specifically the Jacob Blake incident where he

689
00:39:12,000 --> 00:39:16,520
Speaker 1: had stopped to try to de escalate a conflict between

690
00:39:17,000 --> 00:39:21,840
Speaker 1: two people and then the cops came in and somebody

691
00:39:22,000 --> 00:39:26,719
Speaker 1: ended up getting shot seven times. That de escalation that like,

692
00:39:27,040 --> 00:39:29,520
Speaker 1: you know, acting as a mediator in your own community

693
00:39:29,600 --> 00:39:33,359
Speaker 1: like that, that's what we should be trying to have

694
00:39:33,520 --> 00:39:37,160
Speaker 1: people like have resources that can do that, as opposed

695
00:39:37,200 --> 00:39:40,080
Speaker 1: to calling somebody with a gun to come in and

696
00:39:40,760 --> 00:39:44,920
Speaker 1: you know, cause absolute havoc and end up, you know,

697
00:39:45,320 --> 00:39:51,759
Speaker 1: trying to murder somebody. All right, let's take another break

698
00:39:51,840 --> 00:40:06,000
Speaker 1: and we'll be right back. And we're back, and it's

699
00:40:06,040 --> 00:40:09,200
Speaker 1: time to check in with that whole COVID thing, the

700
00:40:09,520 --> 00:40:12,879
Speaker 1: global pandemic. Do you remember that story from a couple

701
00:40:12,880 --> 00:40:16,560
Speaker 1: of weeks ago. Do was that before after Hunter Biden

702
00:40:16,680 --> 00:40:19,480
Speaker 1: and Ukrainium one, I get all of the things that

703
00:40:19,800 --> 00:40:21,920
Speaker 1: they tell me on the on Fox. I guess it's

704
00:40:21,920 --> 00:40:26,239
Speaker 1: so confusing, you know, it's it's pretty clear. I think

705
00:40:26,560 --> 00:40:29,880
Speaker 1: all the common or all the accepted research around it

706
00:40:29,960 --> 00:40:34,120
Speaker 1: is that you know, if people with who can get

707
00:40:34,160 --> 00:40:38,120
Speaker 1: COVID nineteen, it can cause completely asymptomatic infections. There are

708
00:40:38,120 --> 00:40:40,400
Speaker 1: people who can have it, carry it and do not

709
00:40:40,520 --> 00:40:42,840
Speaker 1: have any symptoms, and actually and they can spread it

710
00:40:42,880 --> 00:40:45,720
Speaker 1: to other people, and some people can still spread before

711
00:40:45,760 --> 00:40:48,719
Speaker 1: they show symptoms. So pre symptomatic transmission is also a

712
00:40:49,000 --> 00:40:53,160
Speaker 1: just studied phenomenon, proven thing about COVID, and a lot

713
00:40:53,200 --> 00:40:55,880
Speaker 1: of the modeling that we've seen says that like pre

714
00:40:56,040 --> 00:41:00,360
Speaker 1: symptomatic transmission could in fact behalf or even more of

715
00:41:00,400 --> 00:41:03,520
Speaker 1: a lot of the spread that's happening. So when the

716
00:41:03,560 --> 00:41:07,200
Speaker 1: CDC comes out and says that they are no longer

717
00:41:07,320 --> 00:41:12,200
Speaker 1: essentially recommending that people who have been maybe possibly exposed

718
00:41:12,200 --> 00:41:14,520
Speaker 1: to COVID but aren't showing symptoms, actually you don't need

719
00:41:14,560 --> 00:41:16,560
Speaker 1: to get tested. It turns out if you don't have symptoms,

720
00:41:16,560 --> 00:41:18,520
Speaker 1: and you may have been exposed and you're not showing symptoms,

721
00:41:18,560 --> 00:41:21,440
Speaker 1: don't worry about it. They changed the complement and on

722
00:41:21,480 --> 00:41:23,960
Speaker 1: August twenty two, this is what the CDC website said.

723
00:41:23,960 --> 00:41:26,759
Speaker 1: It said, quote testing is recommended for all close contacts

724
00:41:26,880 --> 00:41:30,000
Speaker 1: of persons with stars covy to infection because of the

725
00:41:30,040 --> 00:41:34,359
Speaker 1: potential for asymptomatic and presymptomatic transmission. It is important that

726
00:41:34,440 --> 00:41:37,640
Speaker 1: contacts of individuals with stars covey to infection be quickly

727
00:41:37,680 --> 00:41:43,080
Speaker 1: identified and tested. Suddenly they've completely scrapped that, all that

728
00:41:43,160 --> 00:41:46,320
Speaker 1: language is gone and everyone because it's just they're giving

729
00:41:46,400 --> 00:41:50,600
Speaker 1: up on containment or are they just they want their

730
00:41:50,719 --> 00:41:53,880
Speaker 1: numbers to be in a better possession heading into the election.

731
00:41:55,040 --> 00:41:56,640
Speaker 1: I think a lot of people have There are some

732
00:41:56,680 --> 00:41:59,200
Speaker 1: people have said, look, this is clearly coming from the president,

733
00:41:59,480 --> 00:42:01,600
Speaker 1: you know what I mean, there's no why would people

734
00:42:01,760 --> 00:42:04,200
Speaker 1: people of I mean, prior to this the CDC, you

735
00:42:04,239 --> 00:42:06,560
Speaker 1: could bet that they were, you know, learned people of

736
00:42:06,600 --> 00:42:08,960
Speaker 1: science who would be let their research guide what their

737
00:42:09,000 --> 00:42:12,920
Speaker 1: decision making is. But because this slowdown of the government,

738
00:42:12,960 --> 00:42:16,200
Speaker 1: because they're unwilling to actually address the situation, and there

739
00:42:16,239 --> 00:42:18,440
Speaker 1: are things like let's just like get rid of all

740
00:42:18,480 --> 00:42:20,040
Speaker 1: the testing stuff so people can least go out for

741
00:42:20,040 --> 00:42:21,959
Speaker 1: a little bit. The economy we can get a quick

742
00:42:22,040 --> 00:42:24,839
Speaker 1: jump and then we'll probably shut shipped back down. Um.

743
00:42:24,920 --> 00:42:27,880
Speaker 1: But with this, you know, the one of the administrators

744
00:42:28,000 --> 00:42:31,399
Speaker 1: at Health and Human Services, Uh, they were like, why

745
00:42:31,400 --> 00:42:33,279
Speaker 1: are you telling us about the c d C s

746
00:42:33,320 --> 00:42:36,279
Speaker 1: like recommendations, And they were just saying like, look, it's

747
00:42:36,320 --> 00:42:38,120
Speaker 1: not it's this. It's just that this, all of this

748
00:42:38,200 --> 00:42:40,640
Speaker 1: decision came from public health experts to the c d

749
00:42:40,800 --> 00:42:43,880
Speaker 1: C UM and there was no direction from the President,

750
00:42:44,040 --> 00:42:48,840
Speaker 1: the vice president, or any other administration official. And I

751
00:42:48,840 --> 00:42:50,399
Speaker 1: think a lot of people are having a really hard

752
00:42:50,440 --> 00:42:54,879
Speaker 1: time believing that because it's not even like saying that,

753
00:42:55,239 --> 00:42:58,120
Speaker 1: you know, the sort of very narrow logic is that

754
00:42:58,160 --> 00:43:00,640
Speaker 1: they're The reason that they didn't want to have testing

755
00:43:00,719 --> 00:43:04,120
Speaker 1: for people with without symptoms was so that way they

756
00:43:04,120 --> 00:43:07,359
Speaker 1: didn't avoid testing too early after an exposure. That way

757
00:43:07,360 --> 00:43:10,440
Speaker 1: there could be a negative result before the infection actually

758
00:43:10,440 --> 00:43:14,080
Speaker 1: had enough time to develop, etcetera, etcetera. But either way,

759
00:43:14,360 --> 00:43:17,720
Speaker 1: just continue testing no matter what is just I should

760
00:43:17,719 --> 00:43:19,600
Speaker 1: be a feature of how we get a handle on

761
00:43:19,719 --> 00:43:23,080
Speaker 1: this the spread of this illness. UM. And yeah, again

762
00:43:23,120 --> 00:43:26,560
Speaker 1: they haven't really even established what a timeline would look

763
00:43:26,600 --> 00:43:30,160
Speaker 1: like for asymptomatic testing after an exposure, and they're kind

764
00:43:30,160 --> 00:43:31,799
Speaker 1: of also just leave that language, like, well, you know,

765
00:43:31,840 --> 00:43:34,719
Speaker 1: if your city or your state or local county like

766
00:43:34,800 --> 00:43:36,279
Speaker 1: needs it, then I guess you can test. But like

767
00:43:36,320 --> 00:43:41,640
Speaker 1: we're saying, you know, it's up to you. M hm cool. Well,

768
00:43:41,719 --> 00:43:47,440
Speaker 1: look perfect timing because now we're opening schools, so perfect

769
00:43:47,520 --> 00:43:51,480
Speaker 1: timing to not test people who have been exposed to

770
00:43:52,239 --> 00:43:55,880
Speaker 1: the disease so that we can just let let that spread,

771
00:43:56,040 --> 00:44:00,880
Speaker 1: Let the disease spread a symptomatically among a group who

772
00:44:01,120 --> 00:44:05,360
Speaker 1: is most likely to you know, have it without showing symptoms.

773
00:44:06,160 --> 00:44:08,680
Speaker 1: I feel like here, you know, here in l A.

774
00:44:09,239 --> 00:44:12,600
Speaker 1: Even I feel like, you know, California did better with

775
00:44:12,640 --> 00:44:14,400
Speaker 1: this stuff. You know, you you read this stuff from

776
00:44:14,440 --> 00:44:16,160
Speaker 1: the CDC and you think, oh my gosh, is the

777
00:44:16,200 --> 00:44:19,920
Speaker 1: Trump administration interfering with CDC advice? But even in l A,

778
00:44:20,000 --> 00:44:23,560
Speaker 1: I feel like we've had changes in guidance being given

779
00:44:23,600 --> 00:44:27,799
Speaker 1: to us, changes in the reopening schedule, changes in how

780
00:44:27,960 --> 00:44:29,719
Speaker 1: you know what what we're supposed to be doing, with

781
00:44:29,800 --> 00:44:33,239
Speaker 1: really no acknowledgement of the fact that we this is

782
00:44:33,239 --> 00:44:35,560
Speaker 1: what we thought before. Here's what led us to make

783
00:44:35,600 --> 00:44:40,160
Speaker 1: these changes, and here's how we can operate under our

784
00:44:40,200 --> 00:44:42,960
Speaker 1: better information going forward in ways that make more sense.

785
00:44:42,960 --> 00:44:45,400
Speaker 1: And I feel like if at every level of government,

786
00:44:45,400 --> 00:44:47,880
Speaker 1: I mean, of course the federal government, you know, I

787
00:44:47,880 --> 00:44:51,080
Speaker 1: don't even know what they're but at every level of government,

788
00:44:51,080 --> 00:44:55,600
Speaker 1: I feel like the same kind of Uh. It feels

789
00:44:55,640 --> 00:44:59,080
Speaker 1: like we're being gasolt sometimes with the instructions that we're

790
00:44:59,120 --> 00:45:03,080
Speaker 1: getting about about COVID and about what we're supposed to

791
00:45:03,080 --> 00:45:04,560
Speaker 1: be doing. And I feel like if they were just

792
00:45:04,600 --> 00:45:07,560
Speaker 1: a little bit more transparent with us about here's how

793
00:45:07,600 --> 00:45:10,120
Speaker 1: things have changed, here's what here's the new advice that

794
00:45:10,160 --> 00:45:14,440
Speaker 1: we have for you. Because just like very like bulletin,

795
00:45:14,920 --> 00:45:19,319
Speaker 1: like and here are your instructions going forward. It's like, wait,

796
00:45:19,360 --> 00:45:21,040
Speaker 1: but this is disruptive to me, and you're not even

797
00:45:21,080 --> 00:45:23,920
Speaker 1: telling me how we arrived there. Yesterday was the complete

798
00:45:24,080 --> 00:45:27,040
Speaker 1: opposite of that. And yeah, it is just for the

799
00:45:27,120 --> 00:45:32,120
Speaker 1: benefit of the people's long term faith in science, you know, so,

800
00:45:32,239 --> 00:45:34,240
Speaker 1: because I think if you're not really willing to engage

801
00:45:34,239 --> 00:45:36,480
Speaker 1: with what's happening, and things are fluid because we're dealing

802
00:45:36,520 --> 00:45:39,160
Speaker 1: with something illness we've never seen before, and it's it's

803
00:45:39,200 --> 00:45:41,719
Speaker 1: like happening in real time. A lot of people just saying, like,

804
00:45:41,800 --> 00:45:46,400
Speaker 1: what would the doctors say, and now they're saying this, well,

805
00:45:46,520 --> 00:45:48,600
Speaker 1: which one is it? And I think, yeah, by not

806
00:45:48,719 --> 00:45:51,240
Speaker 1: explaining and things like that, you allow to just be like, Okay,

807
00:45:51,239 --> 00:45:53,359
Speaker 1: I understand that was different than last time. But this

808
00:45:53,440 --> 00:45:55,520
Speaker 1: is how this is working. We've found this out and

809
00:45:55,520 --> 00:45:59,160
Speaker 1: that's we're adapting because we're being proactive about this. Yeah,

810
00:45:59,160 --> 00:46:01,400
Speaker 1: it really does have the u It can be. It

811
00:46:01,440 --> 00:46:04,680
Speaker 1: can be really really frustrating, and I think, yeah, looking

812
00:46:04,680 --> 00:46:08,479
Speaker 1: at the colleges now, it's just like a whole they're

813
00:46:08,480 --> 00:46:12,160
Speaker 1: dealing with like just like you know, uh, the exuberance

814
00:46:12,200 --> 00:46:16,400
Speaker 1: of youth, uh, and like the nihilism of people spending

815
00:46:16,440 --> 00:46:19,160
Speaker 1: this money to get an education, entering an economy where

816
00:46:19,200 --> 00:46:21,080
Speaker 1: it's like what do I do with this degree? Now?

817
00:46:21,239 --> 00:46:23,880
Speaker 1: Like is there a job for me? Like? What am

818
00:46:23,920 --> 00:46:26,880
Speaker 1: I doing here? Again? Let's this party, let's this party.

819
00:46:26,920 --> 00:46:31,879
Speaker 1: I don't know, the combination of energy and lack of perspective. Yeah, no,

820
00:46:31,920 --> 00:46:34,800
Speaker 1: it really, I mean that's the thing. So right now,

821
00:46:35,640 --> 00:46:38,840
Speaker 1: with this whole push to go back to whatever normal

822
00:46:39,000 --> 00:46:42,480
Speaker 1: is or just to get the economy looking a certain way. Uh,

823
00:46:42,520 --> 00:46:45,799
Speaker 1: you know, we're seeing all kinds of school university reopenings,

824
00:46:46,160 --> 00:46:50,480
Speaker 1: UM at the university of Alabama. They reopened on August nineteen,

825
00:46:50,680 --> 00:46:54,239
Speaker 1: and they said, according to their own university's COVID dashboard,

826
00:46:54,360 --> 00:46:58,200
Speaker 1: there have been five one corona cases since they opened,

827
00:46:58,760 --> 00:47:03,200
Speaker 1: five hundred thirty one. And that's like from self reported results,

828
00:47:03,239 --> 00:47:06,080
Speaker 1: that's from like the infirmary or whatever the school health

829
00:47:06,120 --> 00:47:09,919
Speaker 1: office is. That's what they're dealing with already. Uh. And

830
00:47:10,520 --> 00:47:13,040
Speaker 1: I can only imagine what similar schools look like that

831
00:47:13,120 --> 00:47:15,799
Speaker 1: haven't actually put in, you know, take the time to

832
00:47:15,840 --> 00:47:18,680
Speaker 1: actually think these things through. There's a Daily Beast articles

833
00:47:18,680 --> 00:47:21,200
Speaker 1: just started kind of giving looking at a few different

834
00:47:21,239 --> 00:47:24,440
Speaker 1: schools and what sort of culturally is happening on campus.

835
00:47:24,960 --> 00:47:28,080
Speaker 1: Um Mariah Parker who we had on uh, she she

836
00:47:28,120 --> 00:47:29,920
Speaker 1: was telling us about j There's another thing about you

837
00:47:30,040 --> 00:47:32,960
Speaker 1: g A. They're saying that, like on Twitter, students are

838
00:47:32,960 --> 00:47:35,919
Speaker 1: posting like screenshots from student groups and you can tell

839
00:47:35,920 --> 00:47:39,000
Speaker 1: like there's a lot of misinformation and anti masker stuff

840
00:47:39,000 --> 00:47:42,480
Speaker 1: going on even within the students. There's one comment read quote,

841
00:47:42,640 --> 00:47:45,560
Speaker 1: no need for masks when you're six ft away or

842
00:47:45,640 --> 00:47:47,920
Speaker 1: at all, but hey, if it helps your psyche where

843
00:47:47,960 --> 00:47:51,200
Speaker 1: a hazmat suit. That's one. Uh. This is another one,

844
00:47:51,200 --> 00:47:54,040
Speaker 1: which is I think one of the most dangerous fucking

845
00:47:54,040 --> 00:47:56,600
Speaker 1: comments they could have had in their media. Way over

846
00:47:56,640 --> 00:48:00,000
Speaker 1: exaggerates numbers. The number that matters most is that nine

847
00:48:00,080 --> 00:48:03,760
Speaker 1: d nine point nine percent of people recover from COVID.

848
00:48:04,040 --> 00:48:06,480
Speaker 1: People being out of work. The fear of and anxiousness

849
00:48:06,560 --> 00:48:09,760
Speaker 1: that is running rampant is far more damage than this virus.

850
00:48:09,960 --> 00:48:12,719
Speaker 1: Don't live in fear of folks, it's not healthy. Nine

851
00:48:12,760 --> 00:48:14,680
Speaker 1: Remember that number. I mean, that's an absolute right wing

852
00:48:14,719 --> 00:48:18,279
Speaker 1: talking point. But again, a lot of younger people seem

853
00:48:18,320 --> 00:48:20,560
Speaker 1: to be also catching onto that because it might not

854
00:48:20,600 --> 00:48:23,400
Speaker 1: be reflected in their reality seeing what the devastation is

855
00:48:23,400 --> 00:48:28,840
Speaker 1: of COVID. Yeah, that's like just hearing that is a

856
00:48:28,960 --> 00:48:33,480
Speaker 1: very specific feeling of helplessness that I'm I'm experiencing a

857
00:48:33,560 --> 00:48:38,719
Speaker 1: lot on social media when it's not usually people that

858
00:48:38,880 --> 00:48:43,759
Speaker 1: I'm encountering, but people that people I know are encountering.

859
00:48:44,040 --> 00:48:47,839
Speaker 1: And you know, a post that are getting spread. It's like, oh,

860
00:48:47,960 --> 00:48:53,000
Speaker 1: I see why this is effective, Like I understand why

861
00:48:53,080 --> 00:48:55,640
Speaker 1: you want to believe that and why that has the

862
00:48:55,719 --> 00:48:59,560
Speaker 1: ring of truth. But it's just I don't know how

863
00:48:59,600 --> 00:49:02,440
Speaker 1: to ounter it. Like I don't know, do we just

864
00:49:02,880 --> 00:49:07,960
Speaker 1: end Internet? I don't know. I have to do I mean,

865
00:49:08,000 --> 00:49:09,799
Speaker 1: I think, but the thing is, I mean, you know,

866
00:49:09,880 --> 00:49:13,160
Speaker 1: these talking points like you know, like the whole thing

867
00:49:13,239 --> 00:49:15,719
Speaker 1: of the idea of like the you know, shutting down

868
00:49:15,719 --> 00:49:18,600
Speaker 1: the economy is causing way more damage. That's not coming

869
00:49:18,640 --> 00:49:21,799
Speaker 1: from a student who's looking at you know, he's that's

870
00:49:21,800 --> 00:49:24,040
Speaker 1: something that's like a talking point that you know, the

871
00:49:24,120 --> 00:49:26,759
Speaker 1: business owning class helps formulate to be able to like

872
00:49:26,800 --> 00:49:28,600
Speaker 1: sort of wrap your head like no one is like

873
00:49:28,640 --> 00:49:31,920
Speaker 1: the economy, oh my goodness, we're not. That's not our

874
00:49:32,040 --> 00:49:35,360
Speaker 1: vested interest the people who are yes to them because

875
00:49:35,400 --> 00:49:38,200
Speaker 1: the workers are not there to create the revenue for them.

876
00:49:38,480 --> 00:49:40,839
Speaker 1: And there's like that's the damage to me. But I'll

877
00:49:40,920 --> 00:49:43,600
Speaker 1: let you, you know, you'll build a pair of social

878
00:49:43,600 --> 00:49:46,239
Speaker 1: relationship with the billionaire class and then you'll stand with

879
00:49:46,239 --> 00:49:48,920
Speaker 1: me and say it's messing up the economy. Uh So.

880
00:49:49,480 --> 00:49:52,560
Speaker 1: But again, we even think as people are younger, it's like, well,

881
00:49:52,600 --> 00:49:54,960
Speaker 1: there's no way they're like they're they got to be smarter,

882
00:49:55,080 --> 00:49:56,880
Speaker 1: but you're not. At the end of the day, like

883
00:49:56,920 --> 00:49:59,400
Speaker 1: there's also this feeling to like you understand, there's a

884
00:49:59,400 --> 00:50:02,399
Speaker 1: sense of nie lism for that generation as well, where

885
00:50:02,920 --> 00:50:05,960
Speaker 1: they're looking at whatever their future prospects aren't probably like

886
00:50:05,960 --> 00:50:08,440
Speaker 1: I don't know, like is it it seems bleak possibly

887
00:50:08,480 --> 00:50:13,359
Speaker 1: to like what what what's going on? Right? Yeah? There

888
00:50:13,440 --> 00:50:19,160
Speaker 1: was another sort of anecdote from University of Chapel Hill

889
00:50:19,239 --> 00:50:21,759
Speaker 1: and it was like this person got like the most

890
00:50:21,800 --> 00:50:25,680
Speaker 1: predictable gen Z response of like trying to be like

891
00:50:25,200 --> 00:50:28,160
Speaker 1: a like a person of authority. Um, there was like

892
00:50:28,200 --> 00:50:32,719
Speaker 1: a party at Chapel Hill and like right after like

893
00:50:32,760 --> 00:50:35,839
Speaker 1: there was an outbreak going into the school year and

894
00:50:35,920 --> 00:50:38,200
Speaker 1: there was I guess a sorority that they were just

895
00:50:38,239 --> 00:50:41,319
Speaker 1: going like house party, the house party, and like one

896
00:50:41,360 --> 00:50:45,480
Speaker 1: of the like house moms of a fraternity basically said

897
00:50:45,520 --> 00:50:47,840
Speaker 1: that when she had approached some of the students to

898
00:50:47,880 --> 00:50:50,520
Speaker 1: be like hey, you know, please like remember to social

899
00:50:50,560 --> 00:50:53,200
Speaker 1: distance or wear a mask, they called her a quote

900
00:50:53,239 --> 00:50:59,400
Speaker 1: boomer and a quote bitch cool. That's the fucking like

901
00:50:59,480 --> 00:51:02,640
Speaker 1: they hey boomer to this person who I don't know

902
00:51:02,680 --> 00:51:04,880
Speaker 1: what generation there, but like that was just like the

903
00:51:05,000 --> 00:51:08,520
Speaker 1: response like I'm looking, please consider the safety of other people,

904
00:51:08,520 --> 00:51:12,799
Speaker 1: Like yeah, alright, fucking boomers. The party. It makes it

905
00:51:12,800 --> 00:51:15,520
Speaker 1: it makes it very like you you realize too, Like

906
00:51:15,600 --> 00:51:18,920
Speaker 1: that really is the attitude of someone sort of you

907
00:51:19,080 --> 00:51:20,959
Speaker 1: think that it would be received a little bit better

908
00:51:21,000 --> 00:51:23,000
Speaker 1: than that, But we don't know, We don't know what

909
00:51:23,000 --> 00:51:26,239
Speaker 1: the interaction was. I feel like we're asking kids to

910
00:51:26,360 --> 00:51:31,480
Speaker 1: do the right thing, and you know, yeah, like the

911
00:51:31,520 --> 00:51:33,759
Speaker 1: University of Alabama should be doing the right thing. Unc

912
00:51:33,920 --> 00:51:35,719
Speaker 1: Chapel Hill should be doing the right thing. That's not

913
00:51:35,880 --> 00:51:39,399
Speaker 1: being governed by a bunch of eighteen year olds who

914
00:51:39,440 --> 00:51:42,600
Speaker 1: are really really excited to party. But they know that

915
00:51:42,640 --> 00:51:45,799
Speaker 1: they're coming right exactly like when you open up you

916
00:51:45,840 --> 00:51:49,040
Speaker 1: at Chapelhill, you know who's coming there, right. It's not

917
00:51:49,120 --> 00:51:51,400
Speaker 1: the like stay at home and let's play Settlers of

918
00:51:51,480 --> 00:51:54,160
Speaker 1: Catan crowd. It's like did yourre in college? You want

919
00:51:54,160 --> 00:51:56,200
Speaker 1: to get you going to get liddy. But the thing

920
00:51:56,440 --> 00:51:58,279
Speaker 1: too is a lot of the students have been saying

921
00:51:58,320 --> 00:52:01,880
Speaker 1: that exact point is that us, while there are students partying,

922
00:52:02,120 --> 00:52:04,400
Speaker 1: why don't you want to talk about the school that

923
00:52:04,480 --> 00:52:08,600
Speaker 1: had no regulations in place? Knowing you have party hungry

924
00:52:08,760 --> 00:52:12,000
Speaker 1: kids who have been like cooped up at home over

925
00:52:12,040 --> 00:52:14,520
Speaker 1: the summer or like even before that, maybe they're entering

926
00:52:14,520 --> 00:52:17,000
Speaker 1: their first year of school or whatever, and yeah, they're

927
00:52:17,040 --> 00:52:18,440
Speaker 1: going to be coming in there with a lot of

928
00:52:18,560 --> 00:52:20,480
Speaker 1: energy that you're going to have to figure out how

929
00:52:20,480 --> 00:52:23,560
Speaker 1: to like maneuver or redirect. But when you're planning just

930
00:52:23,600 --> 00:52:26,040
Speaker 1: sort of like, I don't know, half online classes and

931
00:52:26,120 --> 00:52:28,120
Speaker 1: half in person and you can wear a mask if

932
00:52:28,120 --> 00:52:30,560
Speaker 1: you want. That's enough. It's yeah, it really is. It's

933
00:52:30,600 --> 00:52:32,960
Speaker 1: a it's a bad, bad faith argument against the students.

934
00:52:33,480 --> 00:52:39,799
Speaker 1: Mhm alright, let's talk let West Wing. Uh, because the

935
00:52:39,840 --> 00:52:43,560
Speaker 1: West Wing is having a reunion for some reason. Uh?

936
00:52:43,600 --> 00:52:49,760
Speaker 1: They And when did that end? Uh? Nineties? I think no, no,

937
00:52:50,160 --> 00:52:53,000
Speaker 1: maybe a little bit out after that because they there

938
00:52:53,080 --> 00:52:57,719
Speaker 1: was okay, yeah, yeah. So this is like held up

939
00:52:57,800 --> 00:53:02,600
Speaker 1: by people who are, you know, on the big d

940
00:53:02,840 --> 00:53:06,920
Speaker 1: democrat side of things, the establishment democrat side of things

941
00:53:06,960 --> 00:53:11,560
Speaker 1: as like the peak of Western culture. I think in

942
00:53:11,600 --> 00:53:15,719
Speaker 1: a lot of cases, um and cast reunions are big

943
00:53:15,760 --> 00:53:18,040
Speaker 1: things right now. So we're getting a West Wing reunion

944
00:53:18,800 --> 00:53:21,680
Speaker 1: where the cast will restage an old episode with new

945
00:53:21,719 --> 00:53:28,040
Speaker 1: original material written by the swork in Eron sworkin, all

946
00:53:28,080 --> 00:53:31,200
Speaker 1: in service of a when we all vote charity, which

947
00:53:31,360 --> 00:53:35,759
Speaker 1: voting is good. No no complaints there, But were you

948
00:53:35,840 --> 00:53:38,480
Speaker 1: guys fans of the West Wing? I like kind of

949
00:53:38,520 --> 00:53:41,360
Speaker 1: watched an episode here and there. I was never that

950
00:53:41,480 --> 00:53:46,239
Speaker 1: into it. I was never converted to the religion of

951
00:53:46,800 --> 00:53:52,040
Speaker 1: President Bartlett. I actually just watched the West Wing during

952
00:53:52,040 --> 00:53:56,399
Speaker 1: the primary of this campaign. Yeah, for the first time.

953
00:53:56,560 --> 00:53:58,319
Speaker 1: It was part of the whole. Like I can only

954
00:53:58,320 --> 00:54:00,799
Speaker 1: watch things that I'm really familiar with already, I can't

955
00:54:01,120 --> 00:54:04,480
Speaker 1: right right, right? Was it instructional? Do you do you

956
00:54:04,520 --> 00:54:08,719
Speaker 1: credit the West Wing with your successful uh taking it

957
00:54:08,760 --> 00:54:12,080
Speaker 1: to a runoff? No? I think it was just, you know,

958
00:54:12,280 --> 00:54:15,640
Speaker 1: it felt like simpler times, like simpler times, you know,

959
00:54:15,880 --> 00:54:19,839
Speaker 1: it was just it was comforting, right. I didn't get

960
00:54:19,880 --> 00:54:22,759
Speaker 1: into it. I just I don't know. My head wasn't

961
00:54:22,760 --> 00:54:24,520
Speaker 1: in that place. It was like I don't care about

962
00:54:24,560 --> 00:54:29,839
Speaker 1: like politicians right now. But uh, yeah, It's weird because

963
00:54:29,880 --> 00:54:33,120
Speaker 1: when I was a few of my coworkers when I

964
00:54:33,120 --> 00:54:35,960
Speaker 1: was working in politics love this ship out of the

965
00:54:36,000 --> 00:54:40,040
Speaker 1: West Wing, Like it was there fucking like Beatles, you

966
00:54:40,080 --> 00:54:41,719
Speaker 1: know what I mean. And I was like I don't

967
00:54:41,880 --> 00:54:43,200
Speaker 1: and I was like, you gotta do you like, you

968
00:54:43,280 --> 00:54:46,000
Speaker 1: gotta watch it, and I get. I think I just

969
00:54:46,200 --> 00:54:48,880
Speaker 1: at whatever episode I saw, was like so confused, and

970
00:54:48,920 --> 00:54:52,120
Speaker 1: I'm like, yeah, this for whatever reason, it's not quite

971
00:54:52,120 --> 00:54:54,799
Speaker 1: speaking to me. But I get, you know, people it's uh,

972
00:54:55,880 --> 00:54:59,640
Speaker 1: you know, gave us Bradley Whitford huh for Obama a

973
00:54:59,680 --> 00:55:05,480
Speaker 1: third arm. That is such a good casting. Yeah, apparently

974
00:55:06,160 --> 00:55:11,680
Speaker 1: they were originally hoping to cast Sydney Potier to play

975
00:55:11,719 --> 00:55:16,680
Speaker 1: the president and then yeah, and then the first episode

976
00:55:16,800 --> 00:55:20,160
Speaker 1: ended up having not a single black character by the

977
00:55:20,200 --> 00:55:26,439
Speaker 1: time it made it to air. So simple times. Yeah right,

978
00:55:27,160 --> 00:55:29,520
Speaker 1: I really well, yeah, because I just saw I like

979
00:55:29,640 --> 00:55:32,280
Speaker 1: every photo I see, there's like this one like black

980
00:55:32,320 --> 00:55:34,000
Speaker 1: man I see in the photo and I don't know

981
00:55:34,080 --> 00:55:37,640
Speaker 1: what his character was, but the actor's Dole Hill, And

982
00:55:37,680 --> 00:55:40,240
Speaker 1: I was like, what was his character? What was his character?

983
00:55:40,440 --> 00:55:43,719
Speaker 1: His character was the President's body man. He took care

984
00:55:43,719 --> 00:55:49,520
Speaker 1: of the president's problems, and I think he more like

985
00:55:49,560 --> 00:55:53,040
Speaker 1: Michael Clayton. He would like solve the problems in a

986
00:55:53,560 --> 00:55:56,680
Speaker 1: in a way like what's that what's the dude on

987
00:55:57,239 --> 00:56:01,480
Speaker 1: Kevin Spacey's show? Uh, Doug, Like, ug, I don't, I don't,

988
00:56:01,480 --> 00:56:03,799
Speaker 1: I don't watch Kevin space Yeah. Well that was an

989
00:56:03,800 --> 00:56:06,560
Speaker 1: old that was that was way back then. But yeah, okay,

990
00:56:06,560 --> 00:56:09,080
Speaker 1: so he was is there an actual position for that,

991
00:56:09,120 --> 00:56:12,000
Speaker 1: like I'm looking right now. Oh, Personal Presidential Aid and

992
00:56:12,080 --> 00:56:16,719
Speaker 1: Deputy Special Assistant to the chief of staff. Interesting. Yeah,

993
00:56:16,800 --> 00:56:20,080
Speaker 1: I think it's like he is unofficially like he's more

994
00:56:20,120 --> 00:56:22,799
Speaker 1: of a Michael Cohen. Maybe I don't know, I don't

995
00:56:22,840 --> 00:56:27,200
Speaker 1: I never watched the show Nithy. Is that is that accurate? Uh? Yeah,

996
00:56:27,280 --> 00:56:31,800
Speaker 1: it's like he was. He's like a p A who's

997
00:56:31,880 --> 00:56:36,480
Speaker 1: more like a not like a problem solver, but like, okay,

998
00:56:36,480 --> 00:56:39,120
Speaker 1: the president's schedule is like he's got to leave this

999
00:56:39,160 --> 00:56:43,520
Speaker 1: meeting excuse me, and make sure that he travels with

1000
00:56:43,600 --> 00:56:47,880
Speaker 1: him all the time. He makes sure that he is

1001
00:56:47,960 --> 00:56:51,879
Speaker 1: meeting both his personal obligations and his professional obligations. He's

1002
00:56:51,920 --> 00:57:01,000
Speaker 1: kind of like the Tony Hale character in Veep. Yes, exactly, exactly, Yeah, yeah, okay, okay, Yeah,

1003
00:57:01,200 --> 00:57:05,000
Speaker 1: that's that's that's I think, right. Um, at least that's

1004
00:57:05,000 --> 00:57:07,560
Speaker 1: how he was on the show. And then he moves

1005
00:57:07,640 --> 00:57:10,920
Speaker 1: over to CJ's office to work in cooms and press,

1006
00:57:11,400 --> 00:57:15,520
Speaker 1: got it. Yeah? Yeah. And then there's also the issue

1007
00:57:15,600 --> 00:57:19,240
Speaker 1: of you know, this was happening during the Bush administration

1008
00:57:19,400 --> 00:57:24,919
Speaker 1: and uh they there's a war with a fictional Middle

1009
00:57:24,960 --> 00:57:29,840
Speaker 1: Eastern country called kumar quamar uh that is like a

1010
00:57:29,920 --> 00:57:36,960
Speaker 1: cartoonistly evil melting pot of Islamophobic stereotypes and yeah, just

1011
00:57:37,080 --> 00:57:40,120
Speaker 1: kind of that was their way of dealing with that

1012
00:57:40,200 --> 00:57:45,200
Speaker 1: whole nine eleven thing. What would we do to if,

1013
00:57:45,640 --> 00:57:48,040
Speaker 1: like if this was like helping to be a salve

1014
00:57:48,200 --> 00:57:53,320
Speaker 1: for liberals during the Bush administration, what's the like, how

1015
00:57:53,400 --> 00:57:56,240
Speaker 1: how do you do the version of something like this

1016
00:57:56,360 --> 00:57:59,320
Speaker 1: or like how about this alternate leader thing? And would

1017
00:57:59,320 --> 00:58:01,360
Speaker 1: it just be completely slaps Do you think we would

1018
00:58:01,360 --> 00:58:03,480
Speaker 1: still treat it with the same reverence. I'm I'm just

1019
00:58:03,520 --> 00:58:04,960
Speaker 1: thinking of like how you would even engage with the

1020
00:58:05,040 --> 00:58:08,160
Speaker 1: show like this anymore, given like the climate we're in

1021
00:58:08,680 --> 00:58:12,520
Speaker 1: and like what you know, respects of what we're seeing now.

1022
00:58:12,760 --> 00:58:15,000
Speaker 1: I think it's very telling that our version of this

1023
00:58:15,000 --> 00:58:18,600
Speaker 1: show now is veep, you know what I mean, Like

1024
00:58:18,680 --> 00:58:22,680
Speaker 1: that is what we have just like like whatever their

1025
00:58:22,720 --> 00:58:26,880
Speaker 1: clowns or jokers, man, we've seen it. I think I

1026
00:58:26,920 --> 00:58:29,320
Speaker 1: think that makes sense. And I've heard people who work

1027
00:58:29,320 --> 00:58:31,960
Speaker 1: on politics say that Veep is like the most accurate

1028
00:58:32,200 --> 00:58:36,560
Speaker 1: representation of what federal politics are like in Washington, d C.

1029
00:58:36,720 --> 00:58:38,440
Speaker 1: At least. But then we need we need a more

1030
00:58:38,480 --> 00:58:40,080
Speaker 1: local version. That's what we need is we need to

1031
00:58:40,080 --> 00:58:43,040
Speaker 1: start glamorizing, you know, at the local level, because I

1032
00:58:43,040 --> 00:58:46,920
Speaker 1: think that's the thing again with everything that's going on

1033
00:58:46,960 --> 00:58:49,760
Speaker 1: in the world. Yeah, but that was different. But I think, like,

1034
00:58:49,800 --> 00:58:52,800
Speaker 1: you know, I like kind of like, you know, Nathia's

1035
00:58:52,880 --> 00:58:54,440
Speaker 1: like work on something, you know what I mean, Let's

1036
00:58:54,440 --> 00:58:56,680
Speaker 1: make let's make a show about let's see what happens

1037
00:58:56,720 --> 00:59:01,040
Speaker 1: in November and exactly. Yeah. Yeah, and then you'll be like, sorry,

1038
00:59:01,040 --> 00:59:04,480
Speaker 1: I really can't do them. Yeah, at ted up. Hopefully

1039
00:59:04,480 --> 00:59:07,040
Speaker 1: I'll be tied up like I could do that. I

1040
00:59:07,080 --> 00:59:10,960
Speaker 1: could do your little podcast when I was candidate. It's

1041
00:59:10,960 --> 00:59:14,000
Speaker 1: not a really good look for me, Na. It has

1042
00:59:14,040 --> 00:59:17,080
Speaker 1: been a pleasure having you on the show. Where can

1043
00:59:17,160 --> 00:59:22,960
Speaker 1: people find you? Follow you, join your movement Nittia for

1044
00:59:23,000 --> 00:59:25,880
Speaker 1: the City dot com, or you can follow us on

1045
00:59:25,880 --> 00:59:30,120
Speaker 1: social media. We're really active on Twitter, Instagram, Facebook, Instagram

1046
00:59:30,160 --> 00:59:32,520
Speaker 1: and Facebook. We're Nittia for the City And on Twitter

1047
00:59:33,400 --> 00:59:35,960
Speaker 1: it's my name nittyavvy Raman because I had the all

1048
00:59:35,960 --> 00:59:41,439
Speaker 1: important blue check before kept it on my name. Yeah,

1049
00:59:41,520 --> 00:59:44,000
Speaker 1: Nittivy Raban. But if you just google and I t

1050
00:59:44,280 --> 00:59:46,640
Speaker 1: h y a, i am the first Nythia that pops

1051
00:59:46,720 --> 00:59:48,840
Speaker 1: up now, so boom, here you go. Who are you

1052
00:59:48,840 --> 00:59:54,760
Speaker 1: in competition with in this election? Oh? There's an Indian

1053
00:59:54,840 --> 00:59:59,880
Speaker 1: actress named Nittia mannon Okay, yeah, who was really meeting

1054
01:00:00,000 --> 01:00:03,640
Speaker 1: and still active. She's still an actress. Yeah, and so

1055
01:00:03,800 --> 01:00:05,640
Speaker 1: she was beating me out for a bit, but now

1056
01:00:06,760 --> 01:00:08,760
Speaker 1: not when you're making give those clicks from the City

1057
01:00:08,760 --> 01:00:12,320
Speaker 1: of Angels. That's right in. Haz Davenport, who is a

1058
01:00:12,360 --> 01:00:15,720
Speaker 1: former guest on this show, works for your campaign, right,

1059
01:00:16,320 --> 01:00:19,720
Speaker 1: he's a volunteer. He's volunteer at Josh Androwsky who was

1060
01:00:19,760 --> 01:00:22,160
Speaker 1: also a guest, Yeah, it works on the yea, he

1061
01:00:22,200 --> 01:00:25,200
Speaker 1: works on the campaign. Yeah, a lot of a lot

1062
01:00:25,240 --> 01:00:28,320
Speaker 1: of good overlap between the campaign and the wild world

1063
01:00:28,320 --> 01:00:31,920
Speaker 1: of podcasting. Yeah, and comedians to like it's still funny

1064
01:00:31,920 --> 01:00:34,400
Speaker 1: how much like every it's like almost like if you're

1065
01:00:34,400 --> 01:00:36,160
Speaker 1: in comedy, like you know, you know what time it is.

1066
01:00:36,160 --> 01:00:38,600
Speaker 1: It's a ity for the city, Like it's just weird.

1067
01:00:38,960 --> 01:00:44,280
Speaker 1: You got that demo locked in? Yeah, yeah, we really do.

1068
01:00:44,320 --> 01:00:46,800
Speaker 1: We really do, which I think is good. I mean, listen,

1069
01:00:46,800 --> 01:00:50,200
Speaker 1: how do you make local politics fun. It's got to

1070
01:00:50,240 --> 01:00:53,240
Speaker 1: put bring this some comedians into it now, like yeah,

1071
01:00:53,240 --> 01:00:55,240
Speaker 1: without like being able to do shows, like people are

1072
01:00:55,280 --> 01:00:57,800
Speaker 1: kind of getting more in touch with the other other things,

1073
01:00:57,800 --> 01:00:59,400
Speaker 1: and I think it's great to see people get in

1074
01:00:59,400 --> 01:01:03,080
Speaker 1: touch with their hu manity and duty to serve so exactly,

1075
01:01:03,840 --> 01:01:06,880
Speaker 1: And is there a tweet or some other active social

1076
01:01:06,920 --> 01:01:09,880
Speaker 1: media you've been enjoying? Well, every I was just talk

1077
01:01:09,960 --> 01:01:12,760
Speaker 1: talking about this with someone recently, but there's a really

1078
01:01:12,840 --> 01:01:16,000
Speaker 1: hilarious tweet that I think it was the l A

1079
01:01:16,080 --> 01:01:19,160
Speaker 1: County Department of Public Health put out or or something,

1080
01:01:19,200 --> 01:01:22,120
Speaker 1: but it was like a lot of messages about COVID.

1081
01:01:22,360 --> 01:01:25,280
Speaker 1: It was like social distance, it doesn't save lives, it

1082
01:01:25,400 --> 01:01:28,959
Speaker 1: saves life, and then followed by a series of other

1083
01:01:30,760 --> 01:01:36,320
Speaker 1: other slogans. I was like, really spending that messaging consultant

1084
01:01:36,320 --> 01:01:41,560
Speaker 1: money here from l A County Department of Public Health. Uh, miles,

1085
01:01:41,560 --> 01:01:45,000
Speaker 1: where can people find you? In? What's tweet you've been enjoying? Twitter,

1086
01:01:45,080 --> 01:01:48,960
Speaker 1: Instagram at Miles of Gray and also my other podcast

1087
01:01:49,000 --> 01:01:51,840
Speaker 1: for twenty Day Fiance talking about ninety Day Fiance The

1088
01:01:52,040 --> 01:01:56,680
Speaker 1: Trash Hit with Sophia Alexandra Um. Let's see some tweets

1089
01:01:56,720 --> 01:01:59,920
Speaker 1: that I like. Uh, first one is from a Mighty

1090
01:02:00,040 --> 01:02:02,600
Speaker 1: Monica and she says, I don't know if remember the

1091
01:02:02,720 --> 01:02:05,320
Speaker 1: MTV show True Life, but her tweet is sort of

1092
01:02:05,360 --> 01:02:08,000
Speaker 1: like in this the construction of a true life title.

1093
01:02:08,080 --> 01:02:10,560
Speaker 1: Hers is true life My dad yelled at me for

1094
01:02:10,640 --> 01:02:14,760
Speaker 1: laughing at him when he said he was afraid of Antifa.

1095
01:02:16,240 --> 01:02:18,720
Speaker 1: Another one is from at Gwen Thomas thirty two. He says,

1096
01:02:18,760 --> 01:02:24,600
Speaker 1: my only fans you mean my parents, which is cutting

1097
01:02:24,640 --> 01:02:26,840
Speaker 1: because yeah, some of our some of our parents are

1098
01:02:26,880 --> 01:02:29,160
Speaker 1: our greatest fans. Uh. And then the last one is

1099
01:02:29,200 --> 01:02:33,440
Speaker 1: from at Cameron Jay awesome. Uh. His is if America

1100
01:02:33,520 --> 01:02:37,400
Speaker 1: isn't racist, why doesn't Nicki Haley use her real name? Mmmm?

1101
01:02:38,440 --> 01:02:40,760
Speaker 1: That is interesting. Yeah, a lot of the times, but

1102
01:02:40,840 --> 01:02:42,600
Speaker 1: we have people out of like America is not a

1103
01:02:42,720 --> 01:02:45,480
Speaker 1: racist country, but a lot of the times we've we've

1104
01:02:45,480 --> 01:02:47,880
Speaker 1: seen it with our own eyes, the Narnia of American

1105
01:02:47,960 --> 01:02:53,080
Speaker 1: racist um. Jared Goldstein tweeted, it's weird when a hot

1106
01:02:53,120 --> 01:02:56,320
Speaker 1: person likes the song Joe Lene, it's like you're Joe

1107
01:02:56,400 --> 01:03:03,120
Speaker 1: leneh Dan Hopper tweet did a screen cap of a

1108
01:03:03,520 --> 01:03:07,520
Speaker 1: I think it's from New York Magazine website you've read

1109
01:03:07,560 --> 01:03:10,520
Speaker 1: your last free article joined today? He said, right before

1110
01:03:10,600 --> 01:03:13,800
Speaker 1: web a website beats the ship out of you. Uh.

1111
01:03:14,080 --> 01:03:19,600
Speaker 1: And then Dan Chamberlain tweeted quite and then attributed that

1112
01:03:19,640 --> 01:03:23,640
Speaker 1: statement to a British man having an orgasm. Uh. You

1113
01:03:24,000 --> 01:03:26,520
Speaker 1: find me on Twitter at Jack Underscore O'Brien. You can

1114
01:03:26,560 --> 01:03:29,040
Speaker 1: find us on Twitter at Daily Zeitgeist. We're at the

1115
01:03:29,160 --> 01:03:32,280
Speaker 1: Daily Zeitgeist on Instagram. We have a Facebook fan page

1116
01:03:32,680 --> 01:03:35,840
Speaker 1: and a website, Daily zeitgeist dot com, where we post

1117
01:03:35,920 --> 01:03:39,280
Speaker 1: our episodes. On our footnote, we link off to the

1118
01:03:39,280 --> 01:03:41,840
Speaker 1: information that we talked about in today's episode, as well

1119
01:03:41,880 --> 01:03:45,400
Speaker 1: as the song we ride out on miles. What are

1120
01:03:45,480 --> 01:03:48,800
Speaker 1: we writing out on today? Oh? This is you know

1121
01:03:49,080 --> 01:03:52,520
Speaker 1: a hero? Is this this artist? I keep looking at

1122
01:03:52,520 --> 01:03:55,840
Speaker 1: all the work, the body of work, and I'm liking everything.

1123
01:03:56,280 --> 01:03:59,080
Speaker 1: And there is an album cry Baby where I shot

1124
01:03:59,080 --> 01:04:01,000
Speaker 1: it out a couple of songs from there. But this

1125
01:04:01,440 --> 01:04:05,720
Speaker 1: is the titular track from the album cry Baby, cry

1126
01:04:05,800 --> 01:04:08,600
Speaker 1: Baby by Hero and again it's just got that like

1127
01:04:08,840 --> 01:04:12,360
Speaker 1: very nice electro cynthy vibes but still got soul. It's

1128
01:04:12,400 --> 01:04:16,120
Speaker 1: just a great just it's threatened many needles at once. Smelly.

1129
01:04:16,360 --> 01:04:20,800
Speaker 1: People are really feeling the that you write out songs,

1130
01:04:20,880 --> 01:04:23,720
Speaker 1: the Hero ride out songs. Hero is getting the t

1131
01:04:23,880 --> 01:04:28,240
Speaker 1: d Z bump um. Alright, Well. The Daily zeit Geys

1132
01:04:28,280 --> 01:04:30,480
Speaker 1: is a production of I Heart Radio. For more podcasts

1133
01:04:30,520 --> 01:04:32,880
Speaker 1: from My Heart Radio, visit the I Heart Radio app,

1134
01:04:33,240 --> 01:04:35,640
Speaker 1: Apple podcast, or wherever you listen to your favorite show

1135
01:04:36,200 --> 01:04:37,800
Speaker 1: that is going to do it for this morning. We

1136
01:04:37,880 --> 01:04:40,480
Speaker 1: will be back this afternoon to tell you what's trending

1137
01:04:40,960 --> 01:05:01,600
Speaker 1: and we'll talk to you that by ay to the dealing.

1138
01:05:01,920 --> 01:05:16,400
Speaker 1: If you try to, you known tone get old. I

1139
01:05:16,640 --> 01:05:20,520
Speaker 1: decide who's in tron running high schools too.