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Speaker 1: You're listening to Winnie on reparations correction of I Heart Radio.

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Speaker 1: Yeah yeah, yeah, waiting the reparations, Waiting the reparations check check.

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Speaker 1: I was know when no one gave a funk about

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Speaker 1: my black life back when he was playing Half Life.

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Speaker 1: A baby in a well was the way I baptized

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Speaker 1: a starboar, I felt, but it made me mad Nights

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Speaker 1: true story. Move forward your cruise, Corny and I'm too sorry.

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Speaker 1: Plus I leave a tune glory. I'm the new vote's boy. Please,

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Speaker 1: ain't afraid of know harm? What the fun they're gonna do?

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Speaker 1: Shoot me while I'm an armed ship. I'm the knife Homi.

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Speaker 1: I don't need a burner, but you better know him.

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Speaker 1: Somebody like I'm need to turner and I hit you

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Speaker 1: with that dope flow you ain't even heard of. You

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Speaker 1: gotta wrapper stunt looking like they see the murder. Oh,

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Speaker 1: let's put it all in perspective. All you'll enjoyment of pod.

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Speaker 1: Y'all can mess with you know they don't even listen

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Speaker 1: forever hating Mariah what we're doing. We're waiting the reparations?

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Speaker 1: Yeah yeah, ay, what is he? I'm dope lingu Frank

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Speaker 1: We are waiting on reparations. I'm waiting on this cold

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Speaker 1: to be over, because you know, I've been sticking ship

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Speaker 1: for like seven days almost. It's been terrible, sounding like

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Speaker 1: berry white and ship you feeling better, It's not like

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Speaker 1: prip keeper this bitch. Now I'm feeling better. Today is

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Speaker 1: the best day I've had yet. I mean, I'm still

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Speaker 1: not a dent, but I was like out, I was

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Speaker 1: down for the count that was like fully sick, like fever, fatigue,

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Speaker 1: sleeping like twelve hours a day. And then I got

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Speaker 1: a COVID test zero COVID or supposedly the negative negative result.

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Speaker 1: But I have never this profoundly while sick before lost

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Speaker 1: my sense of taste and smell. I can't any anything.

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Speaker 1: I mean, I mean, I don't know anything. I've never

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Speaker 1: I don't haven't experienced the COVID lost the taste and smell.

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Speaker 1: But I've gotten sick to the point where I lost

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Speaker 1: like my sense of like taste before. So I've had

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Speaker 1: that like vaguely before. And I don't know if it's

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Speaker 1: like psychological, where like I know that's like a symptom

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Speaker 1: of of it, and so like it's freaking me out,

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Speaker 1: and so I'm like perceiving it. I think that could

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Speaker 1: be more than it is. But it's like it's it's

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Speaker 1: really freaking me out, man, where I like, I'm it's

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Speaker 1: like I'm not hungry, but I eat ravenously because I

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Speaker 1: like miss tasting stuff so bad. I'm just like so sad,

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Speaker 1: like trying a little bit of this, trying a little

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Speaker 1: bit of that, trying to live in this on my place.

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Speaker 1: Something tastes like anything. I'm gonna knock on wood because

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Speaker 1: I am not. Like everybody. Everybody in Savannah is sick

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Speaker 1: right now, like literally everybody's got delta. It's just it's

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Speaker 1: sucking crazy, like everybody's sick like mad. Businesses are closed

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Speaker 1: not because not because of any mandate, but just literally

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Speaker 1: because like, oh, no one can come in to work today.

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Speaker 1: It's that sort of ship going on. And I'm lucky

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Speaker 1: because like I'm feeling tip top, you know what I mean.

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Speaker 1: And I haven't been going out for like the last

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Speaker 1: three weeks or so. I've just been living in the

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Speaker 1: studio and working on the show and stuff like that.

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Speaker 1: But you know, hopefully, hopefully this this thing can subside.

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Speaker 1: Go out and get vaccinated, a job, be safe, fascinated.

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Speaker 1: Just go do it, you know, it's so easy. And

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Speaker 1: you know here last week we passed a new mass

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Speaker 1: mandate for here in Athens. I know Savannah has passed

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Speaker 1: one a couple of weeks ago. It hasn't affected. I mean,

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Speaker 1: it hasn't really affected. How you know, people have been

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Speaker 1: I guess people don't give not for the most part,

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Speaker 1: I guess not. I mean that show. By the time

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Speaker 1: y'all hear this, I will probably be recovering from the

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Speaker 1: show with that Forroman on Wednesday. But that ship, no

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Speaker 1: one has said anything to us about anything for that,

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Speaker 1: you know what I mean. I know it's a it's

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Speaker 1: a pretty big stage. So I'm not really gonna be

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Speaker 1: like up on people and ship, and they're not really

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Speaker 1: going to be you know what I mean. So there's that,

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Speaker 1: But yeah, it hasn't Besides, for people are kind of

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Speaker 1: just waiting until they get sick before they think it seriously.

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Speaker 1: And that's unfortunately, it's what got us where we are now. Unfortunately,

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Speaker 1: we also on Tuesday mandated vaccines for all um County employees. Word,

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Speaker 1: how how are the how are the Repubs taking that

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Speaker 1: up there? Oh my god? Well, the thing is so

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Speaker 1: that's at the commission meeting, the Republicans showed out to

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Speaker 1: just like spew two hours of hatred about how much

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Speaker 1: they hate the homeless, because we had something benefiting the

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Speaker 1: homeless on our agenda as well. But we had two

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Speaker 1: County employees come up and speak on the mic um

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Speaker 1: talking about how they would quit their jobs if we

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Speaker 1: passed this vaccine mandate, which isn't even a minute. It's like,

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Speaker 1: if you don't get vaccinated, you just have to get

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Speaker 1: tested every week. It's not like you lose your job

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Speaker 1: if you don't get like, if you're so adamant, I'm

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Speaker 1: not gonna get the vaccine here, you gotta get a

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Speaker 1: test every week. That's it. That's all we were voting on,

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Speaker 1: all we approved for. These people came up and said,

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Speaker 1: I'm quitting my job if you all approve it tonight.

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Speaker 1: And then the fucking Republicans and the audience, all fifty

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Speaker 1: of them, were like plaiding and cheering, and it was

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Speaker 1: so it was so obnoxious, and I was up there

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Speaker 1: sick as hell, having a fucking fever, just like kill

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Speaker 1: me please. That I'm wondering, right, is like is there

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Speaker 1: opposition now? Just two vaccines in general, or are they

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Speaker 1: do they not like the COVID vaccine in particular, because

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Speaker 1: it's like, y'all motherfucker's are all vaccinated for something? Yeah,

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Speaker 1: you know what I mean absolutely, if you made in

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Speaker 1: the public school system, yeah you have exactly like you

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Speaker 1: if you traveled overseas, if you fucking if you're in

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Speaker 1: the army. I mean, like you remember a couple of

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Speaker 1: months ago when they were complaining because the army was

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Speaker 1: making them get COVID vaccines. It's like, yo, there's like

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Speaker 1: a hundred other vaccines that you have to have to

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Speaker 1: be in the military and ship, so like yeah, what

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Speaker 1: so it was it was sorry, And I think that

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Speaker 1: is an actually a very interesting question, maybe worth diving

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Speaker 1: into more deeply in the future episode, because I do

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Speaker 1: think it is raising skepticism about vaccines general. It's like

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Speaker 1: it's opening this portal to the dark underworld of like

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Speaker 1: anti vaccine like culture. More oddly, people are like starting

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Speaker 1: off just oh well, I don't like how it was

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Speaker 1: approved so quickly, you know, and then like falling down

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Speaker 1: the rabbit hole into like, oh all science general, Yeah,

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Speaker 1: that general conspiracy contrarianship, you know what, you know, he

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Speaker 1: knew who would be killing it right now. I don't

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Speaker 1: even know if he's alive or dead or what. But

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Speaker 1: do you know who David Iike is? No, who's that

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Speaker 1: he's He's like this British dude who was like sports

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Speaker 1: anchor and then one day he just quit his job

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Speaker 1: and was like, yeo, I got an epiphany that the

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Speaker 1: world was run by lizard people and that all the

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Speaker 1: he's the guy who invented the lizard people or like

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Speaker 1: popularized the lizard people. Yeah, but I would I'm just

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Speaker 1: remember like back in two thousand and twelve, he was

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Speaker 1: really big on the internet, and now I'm like, where

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Speaker 1: the hell is he with all of those because you

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Speaker 1: would imagine he would be killing it right now without

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Speaker 1: the queueing. But we digress. Please get vaccinated. Do wear

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Speaker 1: a mask? It took me a little It took me

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Speaker 1: a little bit to like transition back into like mask

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Speaker 1: wearing and Kroger or whatever, but like it so and

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Speaker 1: then it took me like two times three times in

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Speaker 1: my house to get back used to it. And I

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Speaker 1: don't mind. There's really way way worse things than than

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Speaker 1: sucking masks. YEA, Let's let's be easy, like so you know,

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Speaker 1: people have gone back to not wearing masks if they're

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Speaker 1: vaccinated and shipped myself included. And I mean that also

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Speaker 1: kept so many people from getting regular sick this whole time.

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Speaker 1: I haven't been regular sick this whole time, Like I

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Speaker 1: don't know, I don't know anyone that's had like a

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Speaker 1: regular cold because we've been socially sitting a mask. And

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Speaker 1: if I do you think that, you think that's kind

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Speaker 1: of it. Like it was like, yeah, I was in

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Speaker 1: like a meeting with like some activists and a commissioner

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Speaker 1: at a bar and we were all just hanging out indoors.

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Speaker 1: One of them had a cold, but was like, oh,

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Speaker 1: you know, I'm feeling fine and I wasn't wearing a

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Speaker 1: mask and boo. Now I'm saying so like literally like

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Speaker 1: it's like, Okay, if I had, like I just been

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Speaker 1: wearing a mask this whole time and not been laid

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Speaker 1: up in bed with whatever the ship is for the

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Speaker 1: last seven days, that I would accept that right off. Yeah,

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Speaker 1: I mean, it's it's not a big deal. It's doing Yeah,

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Speaker 1: that's that's that's that's crazy because like when I think

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Speaker 1: about it too, I mean there's been a couple of times,

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Speaker 1: you know, like some of our recording schedule might have

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Speaker 1: gotten hauled up. Sometimes it's been like, oh man, I

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Speaker 1: don't really feel too good and I woke up this day.

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Speaker 1: But I have not been full blown, multiple, multiple days

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Speaker 1: sick since like twenty nineteen, you know, like it's always

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Speaker 1: the implications of it are broader than saving people from COVID. So,

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Speaker 1: but we're kind of jumping all over the place today.

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Speaker 1: What what are we talking about today? Today? We've been

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Speaker 1: talking about about Georgia Savannah blah blah blah. But we're

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Speaker 1: gonna take a trip up to Ohio's eleventh congressional districts

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Speaker 1: today to unpack the results of the special Mary election

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Speaker 1: up there that just took place last Tuesday. Between it

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Speaker 1: was like thirteen candidates running, but it was largely between

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Speaker 1: Bernie Sanders campaign co chair from Turner um ko Yoga

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Speaker 1: um County. Uh, let me start trying to look at

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Speaker 1: kaya Hoga Kiahoga Kiahoga County council member Sean tal brown

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Speaker 1: Um and in the facto fight between the left and

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Speaker 1: center of the Democratic Party. So we're gonna talk about

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Speaker 1: what the election results mean for progressives, and it's well

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Speaker 1: discussed the musical landscape of this congressional district, which contains

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Speaker 1: Akron and Cleveland. It's got some familiar faces like kid

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Speaker 1: Cutty and Busy Bones. Are We're gonna get into some

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Speaker 1: of its musical geography as well as its political geography today.

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Speaker 1: We'll be right back with that after the jump jump

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Speaker 1: all right, So now you might be asking, if you

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Speaker 1: don't know already, where did this race take place. Well,

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Speaker 1: this is Ohio's eleventh congressional district, and it encompasses portions

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Speaker 1: of the Caihouga County and the Summit County in the

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Speaker 1: northeast part of Ohio state. This is including the majority

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Speaker 1: black precincts in between Cleveland and Akrin. So if you

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Speaker 1: jump all the way up to the top of Ohio

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Speaker 1: right up there by like Lake Erie, you got like Cleveland,

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Speaker 1: and then you've got like a skinny little L shape

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Speaker 1: kind of like Tetris block shaped ass congressional district because

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Speaker 1: jerry mandering. Um. But yeah, got Acron, got Cleveland in there.

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Speaker 1: You know, Lake Erie caught on fire one time because

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Speaker 1: of all the ship flown in it. Yeah, I remember

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Speaker 1: when recently the Gulf of Mexico will caught five Nina Turner,

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Speaker 1: who we will be this discussing away today. Um, we're

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Speaker 1: talking about how like the E p A and kind

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Speaker 1: of came out of what happened up in like Erie,

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Speaker 1: like in response to like water shouldn't catch fire, y'all,

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Speaker 1: perhaps we should inter intervene and we could get into

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Speaker 1: the whole. Yeah, like you cant do a whole another

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Speaker 1: lot layer ship with all of that. But okay, so okay,

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Speaker 1: we got Akron, we got Cleveland. But why does this matter?

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Speaker 1: Because I don't really give a ship about Ohio and

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Speaker 1: no offense Ohio high listeners. Oh this lovely state my

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Speaker 1: brother used to live in Cincinnati is great? But why

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Speaker 1: since no? But like, why are we even talking about this?

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Speaker 1: But this here's the thing. So they're running to replace

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Speaker 1: Marcia Fudge, who was appointed to be the head of

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Speaker 1: the Housing and Urban Development um depart the department whatever

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Speaker 1: you know, for our buddy Biden. And so it left

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Speaker 1: open this open seat in a deep democratic district. Maybe

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Speaker 1: it became a proxy fight between the left most ring

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Speaker 1: the Democratic Party and the quote unquote democratic establishment, which

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Speaker 1: is a term we're actually gonna break down a little

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Speaker 1: bit later on. Because different people have different ideas of

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Speaker 1: what established it means. So you got Nita Turner and

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Speaker 1: she was the Cleveland City council member from two thousand

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Speaker 1: six to two eight and the Ohio State Senator from

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Speaker 1: two thousand eighteen. The Turner was a Democratic nominee for

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Speaker 1: Ohio Secretary of State in fourteen, and she supported Bernie

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Speaker 1: Sanders in his twenty sixteen presidential campaign. Became the president

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Speaker 1: of the Sanders affiliate group Our Revolution. In seventeen, she

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Speaker 1: served as the national co chair of Bernie Sanders presidential campaign.

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Speaker 1: And was it when when the I am somebody or hello, hello,

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Speaker 1: somebody that I don't know. I feel like she just

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Speaker 1: been saying that, like, just been saying I don't know

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Speaker 1: what's what's the Was there a moment where that I

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Speaker 1: feel like out of the wound, like somebody like yeah,

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Speaker 1: I don't know. I feel like I feel like all

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Speaker 1: of a sudden, I started here and they're saying I

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Speaker 1: was like, oh man, that's gonna stick. That's a good

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Speaker 1: one right there. Yeah. Yeah. And so she's known for

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Speaker 1: being assassy, unapologetic, like truth teller, unapologetically um critical of

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Speaker 1: the democratic establishment, you know, running on a platform and

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Speaker 1: medicare for all in this congressional run student debt translation

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Speaker 1: to Green New Deal, you know, very much following in

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Speaker 1: the footsteps of Bernie Sanders foot regards to policy priorities,

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Speaker 1: and as such, it was endorsed by a huge hall

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Speaker 1: elected officials and faith leaders from within the debt district.

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Speaker 1: As those national names like Danny Glover. Actually saw her

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Speaker 1: in Danny Glover. I've told the story on the show before.

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Speaker 1: I saw her in Danny Glover in South Carolina during

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Speaker 1: Bernie's campaign, in this tiny, little like church in the

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Speaker 1: middle of nowhere in South Carolina. Like it was like

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Speaker 1: an accidental date. That's I'm not going to pretty much this,

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Speaker 1: but I will sure I will briefly summarize that me

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Speaker 1: going to see Nina Turner and Danny Glover in this

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Speaker 1: tiny church in South Carolina ended a relationship I got. Yeah,

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Speaker 1: being this girl broke up over going to see Nina

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Speaker 1: Turner and Danny Glover in South Carota. Yeah, I think happened.

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Speaker 1: Yeah all the but so Danny Glover, Maryann Williamson, Susan Surrandon,

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Speaker 1: Andrew Yang, former Secretary of Labor under what was it? Yeah,

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Speaker 1: Robert Right not to mention squad squad of Jason's Congress

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Speaker 1: folks like AOC Corey Bush and Marquis Jamal Bowman. And

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Speaker 1: then you've got all these heavyweight progressive organizations lining up

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Speaker 1: behind uh Senator Turner, like Sunrise Movement, our Revolution of course,

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Speaker 1: our Black Party, Justice Democrats, unions like Communication Workers of America.

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Speaker 1: You got sucking brand new Congress, Working Families Party. It's

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Speaker 1: like that scene in the Invengers where they're like coming

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Speaker 1: out of the sky. I do've never actually, I don't

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Speaker 1: even think I've seen that movie. I've seen that memes

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Speaker 1: and that where it's like a symbol like the black

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Speaker 1: panthers are he and like you're yeah, so she had

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Speaker 1: that sort of like montage in the background, you know

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Speaker 1: that she was pulling up on the scene. I've enjoyed

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Speaker 1: the political memes of that scene more than I enjoyed

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Speaker 1: that movie. I t rup sometimes I've never even seen

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Speaker 1: the film. Yeah, no, for real, you're you're you're definitely

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Speaker 1: right there. I remember I remember the night when or

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Speaker 1: the day when it was declared that Biden like officially

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Speaker 1: one somebody made like a dough bass me where it

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Speaker 1: was like Biden was iron Man and Bernie was like

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Speaker 1: dr It was funny and ship but it was like

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Speaker 1: in the moment, like sitting there in private watching it,

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Speaker 1: I I welled up a little bit. Definitely, I'm not

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Speaker 1: gonna but my allergies. I mean, the Senator was clear,

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Speaker 1: he's a man of his word. He said it in,

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Speaker 1: he said it again. So the Senator is doing what

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Speaker 1: he does, and he created a movement. He was a

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Speaker 1: spark and the movement is the fight. And so the

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Speaker 1: movement doesn't change the The notion that we need medicamp

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Speaker 1: rawl does not change the notion that we need to

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Speaker 1: legalize cannabis and taking off the schedule one because it

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Speaker 1: has ruined so many lives, particularly African American lives with

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Speaker 1: the war on drugs and this, and that doesn't change

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Speaker 1: the need to have college for all. That doesn't change

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Speaker 1: environmental justice. See, none of those core fundamental issues changed

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Speaker 1: because it was never about a personality. It was more

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Speaker 1: about the mission. And so progressives are still on the mission,

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Speaker 1: understanding very clearly that we got two dragons we gotta slay.

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Speaker 1: We gotta slay the dragon of neo fascism and slay

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Speaker 1: the dragon of neo liberalism, and the progressive movement is

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Speaker 1: here for So on the other side of this, you've

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Speaker 1: got Chantel Brown and she represents the Caya Houga Counties

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Speaker 1: ninth District on the County Council, which includes Bedford, Warrensville Heights,

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Speaker 1: Shaker Heights, Orange and parts of Cleveland. And she chairs

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Speaker 1: the Cuyahoga County Democratic Party. Now, several notable UH Democrats

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Speaker 1: endorsed Brown's candidacy. And this is including the former Secretary

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Speaker 1: of State and the two thousand sixteen Democratic presidential nominee

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Speaker 1: Hillary Clinton. That you know, so someone you might have

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Speaker 1: heard of her, You know what I'm saying. She made

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Speaker 1: a couple of hits back in the day. Um, you've

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Speaker 1: got majority with Jim clyburn on their US Representative Joyce

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Speaker 1: Betty Beatty Betty, and uh, the Congressional Black Caucus Pack

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Speaker 1: and Democratic Majority for Israel they've all supported Brown as well. Yeah,

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Speaker 1: so I think, I mean, I think it's pretty ully

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Speaker 1: interesting that the Congressional Black Caucus Pack would endorse interrace

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Speaker 1: where there's two black female candidates. Do you think it's

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Speaker 1: something bad on their part? I mean, I think it's

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Speaker 1: speaks to the politics of the black the federal Black

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Speaker 1: miss leadership class. To my my opinion that like really

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Speaker 1: progressive policies that I feel would uplift black people, given

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Speaker 1: the disparities in access to healthcare things like medicare for

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Speaker 1: all the things that, you know, the ways that the

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Speaker 1: student debt crisis exacerbates the racial wealth gap. Student debt

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Speaker 1: cancelation was certainly benefit back people. But uh, the people

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Speaker 1: that run the ship, you know, the Jim Clyburns and

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Speaker 1: the folks who sacrifice so much and have had their

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Speaker 1: like next stept on to such a degree over so

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Speaker 1: many decades to get where they are. They've hadn't been

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Speaker 1: to the knee to capitalism, to just like white supremacy

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Speaker 1: for so long in order to make it to where

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Speaker 1: they are in Congress, into these position of leadership that

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Speaker 1: they expect everyone following after them to be welcomed into

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Speaker 1: their fold, to also sort of abandon whatever they need

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Speaker 1: to abandon in order to just get the power. Unfortunately.

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Speaker 1: I mean like that, I just it just makes me sad,

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Speaker 1: But I feel like that's what that's kind of means.

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Speaker 1: I mean, they have to play devil's advocate. I mean,

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Speaker 1: they could just generally just have a you know what

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Speaker 1: I'm saying, like a different approach to to how they

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Speaker 1: want to go about doing things, and it might not

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Speaker 1: necessarily be like on some conscious, deep seated like, oh,

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Speaker 1: we're trying to maintain power and we're going to forego

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Speaker 1: all of our I know. I yeah, I genuinely think

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Speaker 1: they think that they're doing the right thing. I don't.

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Speaker 1: And I say this, I hope they don't hear this.

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Speaker 1: Here's a hot take. I think just because you know

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Speaker 1: you brought it up with the two black women running

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Speaker 1: against each other, I think from a strategic standpoint, it

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Speaker 1: was probably a good move on the establishments side, because

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Speaker 1: I think that if they had ran a white person

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Speaker 1: against Nina Turner, I think she might have beat them.

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Speaker 1: Like regardless of I don't no, no, no, no, no, no,

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Speaker 1: that's a little bit no no, no. I think you're right.

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Speaker 1: I think you're absolutely right. Yeah. Um, I mean, I

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Speaker 1: I do think you would a degree, um man. I mean,

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Speaker 1: I want to agree with you that they do think

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Speaker 1: that their strategy for wielding power and governance, like they

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Speaker 1: genuinely believe it's the right way to do it. But

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Speaker 1: they also want to bring people in the phone who

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Speaker 1: will been the need to them. But I mean a

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Speaker 1: lot of them are you know, I'm I'm like the

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Speaker 1: advocate against AGESM on this show. But a lot of

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Speaker 1: them are old, you know what I mean, Just keeping

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Speaker 1: it real, A lot of these are on and that

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Speaker 1: and that's that. I don't even necessarily know if that's

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Speaker 1: like indicative of their stances or their beliefs changing. More

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Speaker 1: so that it's just our ships different, now, you know

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Speaker 1: what I mean. I don't think Jim Clyburn is walking

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Speaker 1: around thinking I'm a moderate, you know what I'm saying.

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Speaker 1: I think Jim Clyburn he's left the ship he does.

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Speaker 1: He's left. He's left like he's like nineteen sixties left,

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Speaker 1: you know what I'm saying. And the new generation just

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Speaker 1: might might be a bit of some harder stuff. You

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Speaker 1: might you might be using some harder stuff that the

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Speaker 1: old folks can't can't keep up with, right right right.

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Speaker 1: You fall out as you fall out of touch with

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Speaker 1: new ideas as you but I think particularly like proximity

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Speaker 1: to power will do that to you, which you get

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Speaker 1: in um as a young person with like you know,

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Speaker 1: radical ideas or whatever, and then twenty years in the

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Speaker 1: system beats the ship out of you such that like, yeah,

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Speaker 1: you continue to identify. Is that because that was your

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Speaker 1: formative identity, but like you don't actually you know, actually

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Speaker 1: rock with actually like because you're like, wow, I got

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Speaker 1: told for twenty years to sit down and calm down

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Speaker 1: and this is the best way, and I've kind of

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Speaker 1: abandoned all those ideas. And I've seen it. I mean,

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Speaker 1: like I know, I've seen it happen to people. I

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Speaker 1: remember when I first really got into leftist politics or

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Speaker 1: started like paying attention to leftist politics. It was like

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Speaker 1: coming out of that sort of haze of like, oh,

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Speaker 1: you know, I get my you know, I know what

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Speaker 1: I know because CNN and MSNBC, you know, reported on

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Speaker 1: it and ship. So I remember when I first started

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Speaker 1: getting into left of stuff and it was like, wait

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Speaker 1: a minute, you mean Nancy Pelosi is not like you.

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Speaker 1: I mean, like, like Nancy Pelosi is not like left

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Speaker 1: like she's she's a moderate, really right. And so when

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Speaker 1: you get clips of like Nina Turner saying stuff like

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Speaker 1: we gotta fight fashion fascism and need liberalism at the

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Speaker 1: same time, like you scare people who are like, wait,

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Speaker 1: liberalism could be is it it's a bad thing? Well,

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Speaker 1: they don't realize it's like this, like farther left things

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Speaker 1: that are good for people that that's a messaging thing though,

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Speaker 1: And I mean it seems stupid, but it is a

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Speaker 1: messaging thing. Like we live. We live in a country

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Speaker 1: where people don't read articles. They read headlines, you know

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Speaker 1: what I'm saying, And so when they're reading quotes and

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Speaker 1: ship like that, that's like, oh a Bernie Sanders said, YadA, YadA, YadA, liberals.

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Speaker 1: Nita Turner said, YadA, YadA, YadA, liberals. It. I mean,

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Speaker 1: I know what that means, and you know what that means.

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Speaker 1: And there's like a subsect, there's a subculture of people

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Speaker 1: who know what that's in reference to. But there's a

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Speaker 1: great majority of people who have grown up their whole

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Speaker 1: lives thinking, oh, but liberals are the good guys, you

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Speaker 1: know what I mean. So it's like if if you

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Speaker 1: have that and then you include the lies and the

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Speaker 1: media manipulation and ship, and it's like, oh, Bernie Sanders

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Speaker 1: is kind of he's kind of like Trump. Look, he

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Speaker 1: hates liberals, right, And so I mean, when when we

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Speaker 1: get into it a little bit like the reason why

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Speaker 1: the race turned out the way it did, I think

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Speaker 1: thinking about the political literacy of the average voter. Um

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Speaker 1: when we get into like nitpicking terminology in ways of

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Speaker 1: talking about what the real fight is like that that

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Speaker 1: that that thing that definitely plays a role, um for sure,

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Speaker 1: I mean and speaking of uh sort of positions that

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Speaker 1: the candidates took, I mean, like I followed both of them,

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Speaker 1: you know, try to do my research. And Brown like,

424
00:24:02,880 --> 00:24:07,159
Speaker 1: like for real, like Brown's only policy position appeared to

425
00:24:07,240 --> 00:24:09,880
Speaker 1: be like supporting Joe Biden and of her and all

426
00:24:09,920 --> 00:24:12,399
Speaker 1: of her ads and all of her tweets and all

427
00:24:12,440 --> 00:24:15,840
Speaker 1: of her messaging like send me to Washington to support

428
00:24:15,960 --> 00:24:19,320
Speaker 1: Joe Biden's visions on her website. So for her list

429
00:24:19,400 --> 00:24:23,040
Speaker 1: of priorities, it's got like, you know, bullet bullet points

430
00:24:23,080 --> 00:24:25,240
Speaker 1: and then blurbs underneath. I won't read the blurs, but

431
00:24:25,320 --> 00:24:29,520
Speaker 1: the bullet points of her priorities were end of gun violence,

432
00:24:30,119 --> 00:24:35,040
Speaker 1: bold recovery from COVID, lower healthcare costs and cover everyone

433
00:24:35,119 --> 00:24:40,560
Speaker 1: with high quality care, expand opportunities, and in poverty, and

434
00:24:40,640 --> 00:24:45,000
Speaker 1: then a justice agenda. So pretty much supporting Joe Biden.

435
00:24:45,080 --> 00:24:48,760
Speaker 1: You know, it's like this is this is Joe Biden

436
00:24:48,840 --> 00:24:54,080
Speaker 1: campaign right here. Yeah, I mean, it's like in gun violence,

437
00:24:54,359 --> 00:24:56,680
Speaker 1: What does that mean? Like that doesn't pointed like how

438
00:24:56,880 --> 00:25:00,600
Speaker 1: like what's your specific policy? And great in the half

439
00:25:00,960 --> 00:25:06,639
Speaker 1: like what do you Yeah, it's always like tell us something,

440
00:25:07,040 --> 00:25:10,480
Speaker 1: you know. But then again, I mean we are people

441
00:25:10,560 --> 00:25:13,240
Speaker 1: that are incredibly into politics, and so maybe like that

442
00:25:13,440 --> 00:25:18,600
Speaker 1: level level of like of of media literacy of just

443
00:25:18,760 --> 00:25:21,560
Speaker 1: like digging deeper into what people mean when they say ship.

444
00:25:22,000 --> 00:25:24,600
Speaker 1: It's not something, it's just it's like they might may

445
00:25:24,640 --> 00:25:26,760
Speaker 1: be like, yeah, I'm down to in gun violence, like

446
00:25:27,240 --> 00:25:28,920
Speaker 1: a green view that I don't know what that is,

447
00:25:29,040 --> 00:25:31,480
Speaker 1: that's scary, but in in gun violence, I'm down with that.

448
00:25:31,600 --> 00:25:34,240
Speaker 1: I don't care how you do it. But fucking cool, bro, Yeah,

449
00:25:34,400 --> 00:25:36,479
Speaker 1: I mean, you know, like I don't know. I mean,

450
00:25:36,880 --> 00:25:38,280
Speaker 1: you know, a lot of a lot of people are

451
00:25:38,800 --> 00:25:41,000
Speaker 1: if it's not Trump, then all right, as long as

452
00:25:41,040 --> 00:25:44,360
Speaker 1: it's not the Trump Trump Trumpy ship, then we're cool,

453
00:25:44,400 --> 00:25:47,080
Speaker 1: you know what I'm saying. So I unfortunately the Democrats

454
00:25:47,119 --> 00:25:52,119
Speaker 1: are definitely going to use that to drift to the

455
00:25:52,240 --> 00:25:54,960
Speaker 1: sentence further to the center, so so far to the

456
00:25:55,040 --> 00:25:58,120
Speaker 1: center that they might as well be Republicans. That's that's

457
00:25:58,160 --> 00:25:59,840
Speaker 1: definitely where it's gonna go. I think you're gonna have

458
00:26:00,000 --> 00:26:03,399
Speaker 1: a bunch of these uh never Trump or Republicans, if

459
00:26:03,440 --> 00:26:05,680
Speaker 1: they haven't already, they're going to absorb into the party

460
00:26:05,760 --> 00:26:08,760
Speaker 1: and it's gonna, you know, pretty much be a Republican party,

461
00:26:09,040 --> 00:26:12,840
Speaker 1: while the other party will full on be the fourth

462
00:26:12,920 --> 00:26:19,760
Speaker 1: Reich and Goose Stephen. Oh god. So both candidates have

463
00:26:19,920 --> 00:26:23,800
Speaker 1: had their fair share of scandal and unforced error. Um.

464
00:26:24,080 --> 00:26:26,200
Speaker 1: On turner side, as we were kind of getting into

465
00:26:26,359 --> 00:26:32,800
Speaker 1: with critiquing liberalism, her adversaries have made liberal path use

466
00:26:33,280 --> 00:26:37,040
Speaker 1: of a clip from Atlantic article and which Turner compared

467
00:26:37,160 --> 00:26:39,560
Speaker 1: endorse into a biding to eating half a bowl of ships,

468
00:26:40,160 --> 00:26:43,119
Speaker 1: which is comparing to eating, you know, to buddy for

469
00:26:43,240 --> 00:26:46,240
Speaker 1: Trump being a full ball of sh it. Still not

470
00:26:46,560 --> 00:26:49,679
Speaker 1: something that you want to have displayed on a billboard

471
00:26:49,760 --> 00:26:53,200
Speaker 1: all over Cleveland two weeks before your election, which is

472
00:26:53,240 --> 00:26:57,119
Speaker 1: what they did when you're running in a Democratic primary, right,

473
00:26:57,200 --> 00:27:01,040
Speaker 1: and Joe Biden like star So that's you know, It's like,

474
00:27:01,280 --> 00:27:04,080
Speaker 1: the thing is, it's like, I do not agree with

475
00:27:04,280 --> 00:27:07,680
Speaker 1: these criticisms. I understand them, though I would be lying

476
00:27:07,760 --> 00:27:09,879
Speaker 1: if I acted like, good, what what the hell? What

477
00:27:09,960 --> 00:27:11,560
Speaker 1: are people upset of? I get it, you know what

478
00:27:11,600 --> 00:27:14,359
Speaker 1: I mean? And I even I was reading some punditry

479
00:27:14,440 --> 00:27:17,119
Speaker 1: from people you know, on the ground in in Ohio's

480
00:27:17,160 --> 00:27:19,959
Speaker 1: levant who said that many voters agreed with her. They

481
00:27:20,040 --> 00:27:22,520
Speaker 1: did not vote for Joe Biden and their primaries either,

482
00:27:22,840 --> 00:27:24,719
Speaker 1: but they just didn't feel that that sort of language

483
00:27:24,800 --> 00:27:28,480
Speaker 1: was becoming of a congressional candidate. Um So even people

484
00:27:28,480 --> 00:27:31,840
Speaker 1: who were like, actually, yeah, totally, that's what's up, however,

485
00:27:32,160 --> 00:27:35,560
Speaker 1: and you're gonna be my congresswoman. Unfortunately, people at the

486
00:27:35,640 --> 00:27:38,239
Speaker 1: end of the day, you know, this politics thing, it's

487
00:27:38,280 --> 00:27:40,440
Speaker 1: like a popularity contest when people are going to vote

488
00:27:40,480 --> 00:27:42,639
Speaker 1: with you know, like people care about the issues that

489
00:27:42,720 --> 00:27:45,880
Speaker 1: they care about. But then after that, you know, it's

490
00:27:46,000 --> 00:27:48,120
Speaker 1: it's do I like this person as you know, as

491
00:27:48,160 --> 00:27:52,200
Speaker 1: a person vibe with me? And then on Brown's side,

492
00:27:52,320 --> 00:27:55,639
Speaker 1: the Internet have reported on some ethics concerns about Brown's

493
00:27:55,640 --> 00:27:59,760
Speaker 1: getting back to seventeen, when Brown as a county council

494
00:27:59,800 --> 00:28:03,040
Speaker 1: one and voted to award Cleveland contractor Perk was a

495
00:28:03,119 --> 00:28:07,840
Speaker 1: series of contracts totally seventeen million dollars. Her partner, Mark Perkins,

496
00:28:07,960 --> 00:28:10,880
Speaker 1: has close ties to the company. Perk, and her campaign

497
00:28:11,119 --> 00:28:14,560
Speaker 1: received thirteen dollars in donations from both Perkins family and

498
00:28:14,640 --> 00:28:18,840
Speaker 1: the Sefani family who owns Perk. So the Ohio State

499
00:28:18,880 --> 00:28:22,280
Speaker 1: Auditors Office reviewed the intersects findings and referred them to

500
00:28:22,359 --> 00:28:27,360
Speaker 1: the States State Ethics Commission for investigation. So bitches, bitches,

501
00:28:27,480 --> 00:28:32,200
Speaker 1: fucking maybe trade in contracts for some donations. That's all

502
00:28:32,359 --> 00:28:34,959
Speaker 1: there was. Also, this was in the intercept, but there

503
00:28:35,119 --> 00:28:38,520
Speaker 1: was a newly released campaign finance disclosures that showed that

504
00:28:38,720 --> 00:28:43,120
Speaker 1: Brown and a major Democratic pack supporting her campaign have

505
00:28:43,240 --> 00:28:49,040
Speaker 1: been heavily funded by donors who usually support Republicans. Yeah, which,

506
00:28:49,160 --> 00:28:52,880
Speaker 1: you know, I've heard some centrists um flip this on

507
00:28:52,960 --> 00:28:56,560
Speaker 1: his head and say that, you know, like in primaries,

508
00:28:57,120 --> 00:29:01,000
Speaker 1: like Bernie Sanders was courting, not courting, but like embracing

509
00:29:01,080 --> 00:29:05,080
Speaker 1: the endorsement of people like Joe Rogan, that his crossover

510
00:29:05,200 --> 00:29:09,040
Speaker 1: appeal with working class uh, you know, white people that

511
00:29:09,280 --> 00:29:12,120
Speaker 1: might glean conservative but funk with him because he hates

512
00:29:12,160 --> 00:29:16,160
Speaker 1: the millionaires. Like you know, like, oh, well, y'all, well,

513
00:29:16,320 --> 00:29:20,240
Speaker 1: except Republicans vote when it's for you. But it's not

514
00:29:20,320 --> 00:29:23,160
Speaker 1: cool when it's a centrist that that goes. I mean,

515
00:29:23,920 --> 00:29:27,160
Speaker 1: there's there's there's truth to that. But then also you know,

516
00:29:29,000 --> 00:29:31,360
Speaker 1: there is kind of like a disingenuous nature to it,

517
00:29:31,400 --> 00:29:35,760
Speaker 1: because like Bernie Sanders didn't seek Joe Rogan's endorsement, and

518
00:29:35,880 --> 00:29:40,920
Speaker 1: Joe Rogan didn't endorse Bernie. Let me be the clear,

519
00:29:41,480 --> 00:29:48,120
Speaker 1: let me be seeding clear. Joe Rogan essentially said, a

520
00:29:49,160 --> 00:29:52,840
Speaker 1: I like Bernie Sanders, and Bernie Sanders played the clip

521
00:29:53,000 --> 00:29:54,680
Speaker 1: of Joe Rogan saying that it was you know what

522
00:29:54,720 --> 00:29:59,800
Speaker 1: I mean, like this is like we're hunting the na

523
00:30:00,040 --> 00:30:04,120
Speaker 1: uh but I got of that dig or something exactly. Yeah, anyways,

524
00:30:04,120 --> 00:30:06,680
Speaker 1: a good point. So yeah, and I don't and and

525
00:30:06,800 --> 00:30:10,280
Speaker 1: I think a different Courting the voters two different things

526
00:30:10,320 --> 00:30:14,640
Speaker 1: than courting the money people with extreme wealth that they

527
00:30:14,680 --> 00:30:19,160
Speaker 1: can tip the scale in an election. So um, yeah,

528
00:30:19,200 --> 00:30:21,360
Speaker 1: I mean I while I think I thought it was

529
00:30:21,400 --> 00:30:25,720
Speaker 1: an interesting point, I don't think it was a valid floe. Um.

530
00:30:25,840 --> 00:30:29,920
Speaker 1: But yeah, Turner was lead in the race according to

531
00:30:30,000 --> 00:30:34,640
Speaker 1: internal polling, fifty over Brown. It's like, you know, like

532
00:30:34,760 --> 00:30:36,760
Speaker 1: I said, at the top, a leven other candidates in

533
00:30:36,800 --> 00:30:40,320
Speaker 1: the race, none of them broke over like five Turners

534
00:30:40,320 --> 00:30:44,160
Speaker 1: crushing it. And yet two months later, last week August third,

535
00:30:44,440 --> 00:30:50,240
Speaker 1: results came back and Turner lost to Brown too. Okay,

536
00:30:50,880 --> 00:30:56,120
Speaker 1: what happened let's let's let's tell you what would happen. Yeah, okay,

537
00:30:56,600 --> 00:30:59,960
Speaker 1: So Turning supporters blamed dark money in the establishment. I'm

538
00:31:00,080 --> 00:31:03,160
Speaker 1: using air quotes here, coming forward to crush the left

539
00:31:03,200 --> 00:31:08,040
Speaker 1: wing candidate once again. Um you know, are you know? Admittedly? Uh?

540
00:31:08,360 --> 00:31:10,320
Speaker 1: In the last month, centras groups like Third Way in

541
00:31:10,400 --> 00:31:14,840
Speaker 1: Democratic Majority for Israel spent millions on a TV air

542
00:31:16,040 --> 00:31:19,520
Speaker 1: um you know, TV adsum against Turner, mostly focusing on

543
00:31:19,600 --> 00:31:23,200
Speaker 1: their criticism Joe Biden and other Democratic leaders. Pro zero

544
00:31:23,280 --> 00:31:27,800
Speaker 1: groups ultimately spent over two million dollars outside expenditures on

545
00:31:28,000 --> 00:31:32,080
Speaker 1: behalf of Brown's campaign, And so they're like, oh, the

546
00:31:32,160 --> 00:31:35,000
Speaker 1: big money came in and crushed us, which I was

547
00:31:35,360 --> 00:31:37,920
Speaker 1: legitimately worried about in the weeks leading up to it.

548
00:31:38,240 --> 00:31:42,480
Speaker 1: But still, all in all, Nina Turner out raised, out organized,

549
00:31:42,520 --> 00:31:46,920
Speaker 1: and outspent Chantel Brown. The candidates in the special election

550
00:31:47,000 --> 00:31:51,280
Speaker 1: for Ohio's eleventh congressional districts have raised over six million dollars,

551
00:31:51,720 --> 00:31:57,440
Speaker 1: making it currently the most expensive special House election. Brown

552
00:31:57,520 --> 00:32:01,280
Speaker 1: reported over two million in donation. However, Brown came oh

553
00:32:01,560 --> 00:32:04,240
Speaker 1: that's the is that something? Oh yeah, so she in

554
00:32:04,320 --> 00:32:07,240
Speaker 1: addition to getting money from the Pro Israel packs she

555
00:32:07,400 --> 00:32:10,400
Speaker 1: got five hund dollars from Robert Kraft, the owner of

556
00:32:10,440 --> 00:32:12,280
Speaker 1: the New England Patriots in a long time friend of

557
00:32:12,320 --> 00:32:14,560
Speaker 1: Donald Trump, so some some of the Republican money we're

558
00:32:14,560 --> 00:32:18,280
Speaker 1: talking about earlier. And then Nina held a consistent fundraisingly

559
00:32:18,400 --> 00:32:21,520
Speaker 1: the entire time and until the end was over four

560
00:32:21,600 --> 00:32:24,120
Speaker 1: million dollars in the bank. Um. She received about a

561
00:32:24,160 --> 00:32:27,680
Speaker 1: hundred thousand dollars from political action committees and spent nearly

562
00:32:27,720 --> 00:32:30,400
Speaker 1: one point two million on TV ads between April and July.

563
00:32:30,520 --> 00:32:33,000
Speaker 1: So like she had the most money, she spent the

564
00:32:33,040 --> 00:32:36,520
Speaker 1: most money. Sure packs came in to support Brown at

565
00:32:36,560 --> 00:32:39,200
Speaker 1: the end, shooting on Nina and the last couple of

566
00:32:39,240 --> 00:32:41,600
Speaker 1: weeks with you know, two million dollars in outside money,

567
00:32:41,800 --> 00:32:43,560
Speaker 1: but Nina had more money. I mean so, I mean

568
00:32:43,760 --> 00:32:48,600
Speaker 1: at the end of the day, she just lost. So yeah,

569
00:32:48,640 --> 00:32:50,520
Speaker 1: I was wondering. So that's how I kind of feel

570
00:32:50,520 --> 00:32:52,080
Speaker 1: about this. I was wondering how you kind of feel

571
00:32:52,080 --> 00:32:53,480
Speaker 1: about this. And we were talking about this a second

572
00:32:54,000 --> 00:32:57,960
Speaker 1: um because to me, having worked locally a him millions before,

573
00:32:58,520 --> 00:33:00,480
Speaker 1: I know that it's also all about what you spend

574
00:33:00,560 --> 00:33:03,320
Speaker 1: money on. Because my and my race store is very

575
00:33:03,400 --> 00:33:06,720
Speaker 1: much smaller than this one, UM I was out fundraised.

576
00:33:07,480 --> 00:33:10,680
Speaker 1: UM I spent less money than my opponent, but at

577
00:33:10,760 --> 00:33:13,160
Speaker 1: one because it all matters what you spend your money.

578
00:33:14,320 --> 00:33:16,760
Speaker 1: I don't know what Nina spending her money on. I mean,

579
00:33:16,800 --> 00:33:18,600
Speaker 1: she says here she spent one point two million on

580
00:33:18,760 --> 00:33:21,840
Speaker 1: tv ads. But from my view and the granted is

581
00:33:21,880 --> 00:33:23,800
Speaker 1: just my few from Twitter, but I saw Nina most

582
00:33:23,840 --> 00:33:26,160
Speaker 1: of tweeting about the issue student debt, cancelation, climate change,

583
00:33:26,200 --> 00:33:30,920
Speaker 1: living wages. But I saw Sean Tell posting about events

584
00:33:30,960 --> 00:33:34,440
Speaker 1: in the community that she was at. So like she

585
00:33:34,600 --> 00:33:36,680
Speaker 1: was at canvases, she was at churches, she was at

586
00:33:36,680 --> 00:33:39,120
Speaker 1: sororities and fraternity issues, at cookash is at barbecue, she's

587
00:33:39,120 --> 00:33:41,080
Speaker 1: at fish fries. And so that's the thing. It doesn't

588
00:33:41,080 --> 00:33:43,560
Speaker 1: matter what values you hold. And literally, I really, I

589
00:33:43,640 --> 00:33:46,680
Speaker 1: truly believe this that in a lot of races, especially

590
00:33:46,760 --> 00:33:51,440
Speaker 1: when UM the district is pretty heavily leaning in one

591
00:33:51,480 --> 00:33:54,640
Speaker 1: partisan direction or another, like it's a highly Democratic district

592
00:33:54,680 --> 00:33:57,200
Speaker 1: or Republican district, it literally doesn't matter what you believe in.

593
00:33:57,640 --> 00:34:00,240
Speaker 1: It just matters that who shows up the most most

594
00:34:00,320 --> 00:34:03,400
Speaker 1: often UM, and that the people who are showing up

595
00:34:03,680 --> 00:34:06,160
Speaker 1: to represent your campaign are of the community. As well,

596
00:34:06,280 --> 00:34:09,880
Speaker 1: because a lot of people you know, flying in akin

597
00:34:09,960 --> 00:34:14,640
Speaker 1: to like the Bernie Sanders like um uh campaign structure

598
00:34:14,719 --> 00:34:17,080
Speaker 1: of like a lot of people taking like Bernie journeys

599
00:34:17,160 --> 00:34:19,440
Speaker 1: to fly here or there because they're so passionate about it,

600
00:34:19,440 --> 00:34:21,360
Speaker 1: they're gonna go knock on doors to their candidate. But

601
00:34:21,520 --> 00:34:23,879
Speaker 1: like it's not the same thing as like people from

602
00:34:23,920 --> 00:34:27,120
Speaker 1: the community out knocking on doors in the community, out

603
00:34:27,200 --> 00:34:29,640
Speaker 1: being with people in the community. Not to say that,

604
00:34:30,080 --> 00:34:32,320
Speaker 1: I mean like I obviously wasn't there. I was in

605
00:34:33,040 --> 00:34:36,200
Speaker 1: and uh enjoying the humidity and all that ship. Um

606
00:34:36,320 --> 00:34:38,520
Speaker 1: you know, the ibcc P reports said that George is

607
00:34:38,520 --> 00:34:40,359
Speaker 1: gonna be one of the best places to be when

608
00:34:40,640 --> 00:34:43,879
Speaker 1: it all goes down with Guard's climate change. By the way, yeah,

609
00:34:43,960 --> 00:34:46,279
Speaker 1: we're gonna be fine. The rest of the Southeast were

610
00:34:46,280 --> 00:34:49,799
Speaker 1: actually gonna be very like serendipitous. I guess, I guess

611
00:34:49,880 --> 00:34:52,520
Speaker 1: that's too positive of a thing. But the fact that

612
00:34:52,600 --> 00:34:56,000
Speaker 1: we're doing the eco episode next week after that report

613
00:34:56,120 --> 00:34:59,520
Speaker 1: just came out, that's so more on that. But up

614
00:34:59,520 --> 00:35:01,640
Speaker 1: in Ohio, whatever it's gonna happen to them, I mean,

615
00:35:01,640 --> 00:35:03,760
Speaker 1: they're lake already caught fire at once, so I'm probably

616
00:35:03,800 --> 00:35:08,239
Speaker 1: not that great. Um uh I wasn't there. I can't say.

617
00:35:08,280 --> 00:35:10,880
Speaker 1: I can't say what happened, but um, it all depends

618
00:35:10,920 --> 00:35:12,520
Speaker 1: on what you spend your money on. And I do

619
00:35:12,640 --> 00:35:16,080
Speaker 1: think it's really important ultimately coming back to your critical

620
00:35:16,120 --> 00:35:20,560
Speaker 1: point to sometimes just be like you, we fucking lost

621
00:35:20,640 --> 00:35:25,560
Speaker 1: fare and square man, like like it fucking happens, Like

622
00:35:25,800 --> 00:35:28,560
Speaker 1: I don't think it does us any favors as the

623
00:35:28,719 --> 00:35:33,279
Speaker 1: left to always to to come across out of like

624
00:35:33,400 --> 00:35:40,400
Speaker 1: fucking Maga big lave actually babadass like insurrection, to be like,

625
00:35:40,480 --> 00:35:43,440
Speaker 1: oh it was rigged every time we lose, because sometimes

626
00:35:43,480 --> 00:35:46,680
Speaker 1: we just lose. Man. What we're trying to do is hard, Joe,

627
00:35:47,320 --> 00:35:51,560
Speaker 1: Like you really really hard. You know what I'm saying.

628
00:35:51,600 --> 00:35:55,480
Speaker 1: You can admit you can't admit it's really difficult without

629
00:35:55,600 --> 00:35:58,640
Speaker 1: saying it's impossible. Look well, I mean look I like

630
00:35:59,800 --> 00:36:01,560
Speaker 1: it's up and around me, like, oh, it's so unfair,

631
00:36:01,840 --> 00:36:07,440
Speaker 1: Like I don't know. On the Republican end, right, like

632
00:36:07,680 --> 00:36:11,160
Speaker 1: the candidates who were fucking fringe e and weird like

633
00:36:11,320 --> 00:36:14,759
Speaker 1: Trump and like all these new Marjorie Taylor Green's and

634
00:36:14,960 --> 00:36:16,879
Speaker 1: people like that that are coming out there would work

635
00:36:17,160 --> 00:36:21,000
Speaker 1: now since Trump and ship those candidates have always been around.

636
00:36:21,480 --> 00:36:23,560
Speaker 1: Those type of people have always tried to run for

637
00:36:23,680 --> 00:36:26,880
Speaker 1: office and ship like that. They did their ship. The

638
00:36:27,000 --> 00:36:30,160
Speaker 1: Republicans rejected them for decades and decades, like no, we

639
00:36:30,200 --> 00:36:33,000
Speaker 1: can't have these motherfucker's directics, we can't have these representatives.

640
00:36:33,120 --> 00:36:35,680
Speaker 1: And they kept pressing and kept soldier into now they

641
00:36:35,800 --> 00:36:40,520
Speaker 1: run that entire ship. Now I'm not equating the left

642
00:36:40,560 --> 00:36:42,640
Speaker 1: to that, but I'm just saying that same sort of

643
00:36:42,680 --> 00:36:44,719
Speaker 1: strategy is kind of what you just you just gotta

644
00:36:44,760 --> 00:36:47,000
Speaker 1: soldiered on man, Like they're They're not just gonna let

645
00:36:47,040 --> 00:36:49,600
Speaker 1: you take the ship, you know what I'm saying, Like,

646
00:36:49,800 --> 00:36:53,160
Speaker 1: like you're gonna you're gonna lose. You gotta gotta get up,

647
00:36:53,400 --> 00:36:55,879
Speaker 1: lick your wounds, and try again, and they're gonna try

648
00:36:56,000 --> 00:37:01,400
Speaker 1: everything in their power to stop you. But not everything

649
00:37:01,640 --> 00:37:04,200
Speaker 1: is like something city use plot, you know, sometimes it

650
00:37:04,440 --> 00:37:06,680
Speaker 1: comes down to somebody got more votes than the other person.

651
00:37:07,080 --> 00:37:09,840
Speaker 1: Somebody just got more more votes, bro. And so I

652
00:37:10,000 --> 00:37:12,960
Speaker 1: was disappointed to see Bernie Sanders sweet. I've heard a

653
00:37:13,040 --> 00:37:14,640
Speaker 1: lot from the pundit try as to why I need

654
00:37:14,680 --> 00:37:17,120
Speaker 1: to turn her lost to race in Ohio. Well, maybe

655
00:37:17,160 --> 00:37:19,400
Speaker 1: it had something to do with the drug companies, Wall Street,

656
00:37:19,440 --> 00:37:22,120
Speaker 1: in the fossil fuel industry spending millions trying to defeat her.

657
00:37:22,560 --> 00:37:24,560
Speaker 1: Is that the kind of democratic party we want? I

658
00:37:24,640 --> 00:37:28,840
Speaker 1: don't think so, which I was just like Bernie Homie

659
00:37:28,960 --> 00:37:34,239
Speaker 1: bro Dog, just don't because it also I feel like

660
00:37:34,280 --> 00:37:36,800
Speaker 1: it also breeds cynicism where people feel like it's not

661
00:37:36,880 --> 00:37:40,040
Speaker 1: even worth trying because it's so rigged all the time

662
00:37:40,160 --> 00:37:42,680
Speaker 1: that we can't win. We can win, and we just

663
00:37:42,760 --> 00:37:45,759
Speaker 1: need to learn from learn from our failings, learn from

664
00:37:45,800 --> 00:37:48,960
Speaker 1: what's not working, and try harder. You know. That's it.

665
00:37:49,120 --> 00:37:52,680
Speaker 1: I don't know. And then um, I was reading some

666
00:37:52,960 --> 00:37:57,440
Speaker 1: some um punditry from home with homegrown ties to the district,

667
00:37:57,960 --> 00:38:01,279
Speaker 1: and an interesting analysis emerged from some of some of

668
00:38:01,360 --> 00:38:04,560
Speaker 1: these pieces that the reality of the Ohio primaries that

669
00:38:04,640 --> 00:38:07,920
Speaker 1: Nina Turner, with their large coffers or higher name recognition,

670
00:38:08,080 --> 00:38:11,520
Speaker 1: having been a prominent surrogate for Bertie Sanders, her celebrity

671
00:38:11,640 --> 00:38:15,520
Speaker 1: endorsements from Danny Glover, Andrew Yang and the like, was

672
00:38:15,600 --> 00:38:18,879
Speaker 1: the true establishment candidate in this race. There's a view

673
00:38:19,040 --> 00:38:22,520
Speaker 1: that Turner lost because local voters don't live their lives

674
00:38:22,560 --> 00:38:25,840
Speaker 1: on Twitter, they don't read puff pieces in New York times,

675
00:38:26,320 --> 00:38:29,440
Speaker 1: and they don't want fucking Andrew Yang and Marian Williamson

676
00:38:29,560 --> 00:38:32,880
Speaker 1: carpet backing in from California, New York to tell people

677
00:38:33,400 --> 00:38:37,440
Speaker 1: at home in Ohio how to vote. And so this

678
00:38:37,560 --> 00:38:40,399
Speaker 1: idea of there being like a progressive establishment but also

679
00:38:40,520 --> 00:38:45,640
Speaker 1: tries to be play kingmaker and swoop in and overtake

680
00:38:45,719 --> 00:38:50,400
Speaker 1: local politics based on what they wish were national trends

681
00:38:51,160 --> 00:38:55,840
Speaker 1: is equally an issue as um what the establishment stasion

682
00:38:55,880 --> 00:38:59,200
Speaker 1: with the centrist establishment does, um, just for a different

683
00:38:59,239 --> 00:39:03,239
Speaker 1: ideological lean I mean I can definitely, I definitely see that,

684
00:39:03,480 --> 00:39:06,480
Speaker 1: and I mean also too, it's got to be the messaging,

685
00:39:06,480 --> 00:39:09,440
Speaker 1: because it's you know, some of the messaging and you know,

686
00:39:09,520 --> 00:39:11,640
Speaker 1: like we were talking about earlier, some of the messaging

687
00:39:11,800 --> 00:39:15,719
Speaker 1: is not perfect and not necessarily ideal if you're trying

688
00:39:15,800 --> 00:39:19,200
Speaker 1: to run in in democratic politics and ship like that,

689
00:39:19,320 --> 00:39:21,840
Speaker 1: I think there needs to be kind of a rethinking

690
00:39:21,920 --> 00:39:25,320
Speaker 1: of how it's approached, you know what I mean, because

691
00:39:25,719 --> 00:39:28,560
Speaker 1: like you just said, most people don't live their life

692
00:39:28,680 --> 00:39:34,000
Speaker 1: on Twitter, and I'm not necessarily sure that progressive Twitter

693
00:39:35,000 --> 00:39:38,160
Speaker 1: is like what what should be used as the barometer

694
00:39:38,320 --> 00:39:44,600
Speaker 1: for what people whatsoever? You can kill me. So in

695
00:39:44,680 --> 00:39:47,439
Speaker 1: a reaction piece by Matt Karp and Jackman last week.

696
00:39:47,480 --> 00:39:50,040
Speaker 1: The highlights some instructive and hopeful things about the race,

697
00:39:50,800 --> 00:39:53,399
Speaker 1: namely that it appears need to Turner one working class

698
00:39:54,719 --> 00:39:57,520
Speaker 1: black voters, signaling the left wing candidates the color can

699
00:39:57,640 --> 00:40:01,000
Speaker 1: went over the black working class. It's not like, oh,

700
00:40:01,280 --> 00:40:09,600
Speaker 1: these millennial suburb like city dwelling, gentrifying tech bros want

701
00:40:10,040 --> 00:40:12,480
Speaker 1: like the green New Deal is like nah, someone was

702
00:40:12,560 --> 00:40:14,399
Speaker 1: the messaging. I know you, we were talking a little

703
00:40:14,400 --> 00:40:16,600
Speaker 1: bit about this a messaging work or not. But some

704
00:40:16,719 --> 00:40:20,359
Speaker 1: of that no, non says attitude, These universal solutions, these

705
00:40:20,520 --> 00:40:24,160
Speaker 1: like you know, not just accepting criminalism and going hard

706
00:40:24,280 --> 00:40:26,920
Speaker 1: for what working people need, like does appeal to like

707
00:40:27,280 --> 00:40:30,200
Speaker 1: black working class people. If you look at both Nina's

708
00:40:30,280 --> 00:40:32,960
Speaker 1: race and Corey Bush down in St. Louis, they did

709
00:40:33,080 --> 00:40:37,959
Speaker 1: perform best with um the core constituents of the larger

710
00:40:38,040 --> 00:40:41,680
Speaker 1: quote unquote standards coalition younger voters in large cities. But

711
00:40:42,080 --> 00:40:46,920
Speaker 1: Turner won five of Cleveland's nine black majority wars and

712
00:40:47,160 --> 00:40:49,040
Speaker 1: the ones she lost she lost four of them, but

713
00:40:49,200 --> 00:40:51,680
Speaker 1: only by less than two points, and she won the

714
00:40:51,680 --> 00:40:54,960
Speaker 1: city of Cleveland overall. She won the black majority city

715
00:40:55,000 --> 00:40:58,640
Speaker 1: of Akron Overwall, which is a major game from the

716
00:40:58,680 --> 00:41:01,880
Speaker 1: Sanders Tony twenty campagne, which lost all of these areas

717
00:41:02,080 --> 00:41:06,440
Speaker 1: by fifty points or more. When wealthy communities like pepper

718
00:41:06,600 --> 00:41:10,480
Speaker 1: Pike eight four percent white with a median income of

719
00:41:10,560 --> 00:41:13,879
Speaker 1: a hundred and ninety thousand dollars a year, Brown beat

720
00:41:13,960 --> 00:41:17,239
Speaker 1: Turner by over fifty points. By far, the heaviest blow

721
00:41:17,280 --> 00:41:21,000
Speaker 1: against Turner came in the richer bourbs and just six

722
00:41:21,040 --> 00:41:26,920
Speaker 1: suburban towns pepper Pike, Beechwood, Orange Broadway, Broadview Heights, University Heights,

723
00:41:27,000 --> 00:41:31,200
Speaker 1: and Shaker Heights. Brown netted four thousand, three hundred and

724
00:41:31,280 --> 00:41:35,160
Speaker 1: ninety votes over Turner, more than her total margin of victory.

725
00:41:36,040 --> 00:41:38,520
Speaker 1: And I think in that final sentence comes the true

726
00:41:38,600 --> 00:41:41,680
Speaker 1: problem and the true problem with politics generally in this country.

727
00:41:42,600 --> 00:41:46,360
Speaker 1: Four hundred four thousand, three hundred and nine votes was

728
00:41:46,600 --> 00:41:52,480
Speaker 1: more than the total margin of victory, less than I

729
00:41:52,560 --> 00:41:54,759
Speaker 1: think it was, like, I think something like less than

730
00:41:57,320 --> 00:42:01,160
Speaker 1: of eligible voters voted in the selection. And people talk

731
00:42:01,200 --> 00:42:03,560
Speaker 1: all the time about, Oh, do what the voters want? No,

732
00:42:03,760 --> 00:42:05,759
Speaker 1: what do you want about the voters? We need to

733
00:42:05,800 --> 00:42:08,920
Speaker 1: stop focusing on voters and focus on and start focusing

734
00:42:09,000 --> 00:42:12,800
Speaker 1: on people. So many people did not vote in this

735
00:42:12,920 --> 00:42:19,400
Speaker 1: elect You could probably find internet poll for some stupid

736
00:42:19,480 --> 00:42:28,480
Speaker 1: ship that more people in Cleveland voted for. It's really

737
00:42:28,520 --> 00:42:31,520
Speaker 1: about spanning the electorate. If we want left wing candidates

738
00:42:31,560 --> 00:42:34,400
Speaker 1: to win and be able to win transformative change at

739
00:42:34,440 --> 00:42:38,040
Speaker 1: the federal level, we have to stop worrying about the

740
00:42:38,120 --> 00:42:44,360
Speaker 1: people that already vote and start worrying about like generally

741
00:42:44,400 --> 00:42:46,640
Speaker 1: worried about people. You think that that's the overall lesson

742
00:42:46,719 --> 00:42:49,800
Speaker 1: that we can take away from this. I mean, I

743
00:42:49,920 --> 00:42:54,400
Speaker 1: think in general, like just it's embarrassing as a country

744
00:42:54,640 --> 00:42:58,440
Speaker 1: like like that we consider ourselves all the greatest democracy

745
00:42:58,480 --> 00:43:00,080
Speaker 1: in the world, or at least that's the propaganda you

746
00:43:00,160 --> 00:43:03,480
Speaker 1: here on Fox News and SPC or whatever, when like,

747
00:43:03,560 --> 00:43:06,360
Speaker 1: we have the lowest participations in elections in like the

748
00:43:06,480 --> 00:43:10,440
Speaker 1: developed world, like or even you look at places like

749
00:43:10,520 --> 00:43:13,759
Speaker 1: Brazilian only places like Peru, so many people turn out

750
00:43:13,840 --> 00:43:17,719
Speaker 1: and vote, so people, that's democracy? And so like is

751
00:43:17,760 --> 00:43:21,640
Speaker 1: this even democracy? Do either of these candidates even represent

752
00:43:21,800 --> 00:43:25,840
Speaker 1: what the people of Ohio eleven one if only of

753
00:43:25,920 --> 00:43:27,680
Speaker 1: them turned out to vote? So, I mean, do you?

754
00:43:27,960 --> 00:43:31,520
Speaker 1: But can we lay this all at the feet of

755
00:43:31,880 --> 00:43:35,919
Speaker 1: the system and not the people not bear any any

756
00:43:37,120 --> 00:43:38,680
Speaker 1: I don't even know if blame is the right word.

757
00:43:38,719 --> 00:43:41,400
Speaker 1: But don't people themselves have to have to like be

758
00:43:41,560 --> 00:43:45,480
Speaker 1: engaged in these things and like take more priority and

759
00:43:45,560 --> 00:43:48,120
Speaker 1: how these things affect a love For sure, I can't

760
00:43:48,160 --> 00:43:50,480
Speaker 1: blame people for not giving a ship when nothing has

761
00:43:50,560 --> 00:43:54,440
Speaker 1: ever change fundamentally changed for them, I mean ever through politics.

762
00:43:55,000 --> 00:43:56,840
Speaker 1: Why would they care? Why would they care? And so

763
00:43:57,040 --> 00:43:59,520
Speaker 1: it takes a lot for a candidate to overcome that

764
00:44:00,360 --> 00:44:04,239
Speaker 1: that cultural inertia to when when they come and say

765
00:44:04,520 --> 00:44:07,640
Speaker 1: when they come when someone lightning the turner comes and says, yo,

766
00:44:08,400 --> 00:44:10,800
Speaker 1: like what do we canceled students that made free on

767
00:44:10,840 --> 00:44:14,160
Speaker 1: a higher education free? Like to believe that person when

768
00:44:14,200 --> 00:44:17,200
Speaker 1: they come and tell you it's possible, like it's that

769
00:44:17,400 --> 00:44:19,640
Speaker 1: that's a huge mountain for a candidate. It is. But

770
00:44:19,920 --> 00:44:22,160
Speaker 1: but again, like I'm saying with the people, it's like

771
00:44:22,400 --> 00:44:26,440
Speaker 1: if if to me, it just doesn't it just doesn't

772
00:44:26,440 --> 00:44:28,840
Speaker 1: seem to it doesn't seem to make sense for me

773
00:44:28,960 --> 00:44:32,360
Speaker 1: to be like to realistically be like, oh, well, you

774
00:44:32,440 --> 00:44:35,560
Speaker 1: know what, politicians in the past have said that they

775
00:44:35,600 --> 00:44:38,120
Speaker 1: were going to try to do something and they weren't

776
00:44:38,120 --> 00:44:40,680
Speaker 1: able to do it for whatever reason. So funk this ship.

777
00:44:40,760 --> 00:44:42,960
Speaker 1: I don't care. I mean, I you know, like at

778
00:44:42,960 --> 00:44:44,359
Speaker 1: the end of the day, if people feel that way,

779
00:44:44,480 --> 00:44:48,279
Speaker 1: it's like, I mean, I guess I understand, like logically,

780
00:44:48,480 --> 00:44:51,360
Speaker 1: you know, the one plus one equals to like you know,

781
00:44:51,400 --> 00:44:53,120
Speaker 1: the train of thought that they're using to get to

782
00:44:53,200 --> 00:44:55,239
Speaker 1: that conclusion. But the end of the day, it's like

783
00:44:55,440 --> 00:44:58,840
Speaker 1: that's not that's not a good thing, just because just

784
00:44:58,960 --> 00:45:01,799
Speaker 1: because the system is fact up like waving your hands

785
00:45:01,840 --> 00:45:04,239
Speaker 1: in the air and being like, oh I I give up,

786
00:45:04,680 --> 00:45:06,800
Speaker 1: or oh there's nothing that we can do. I mean again,

787
00:45:06,880 --> 00:45:09,919
Speaker 1: I understand why people feel that way, but like that's

788
00:45:10,000 --> 00:45:11,839
Speaker 1: not a good thing. Like we shouldn't feel that way,

789
00:45:12,680 --> 00:45:14,720
Speaker 1: you know what I'm saying. Like, and I could definitely

790
00:45:14,800 --> 00:45:16,760
Speaker 1: I could go we could have a whole other episode

791
00:45:16,760 --> 00:45:20,719
Speaker 1: about just like living in the imperial Core and like

792
00:45:20,880 --> 00:45:25,160
Speaker 1: the throne of capitalism, like the the how we're so

793
00:45:25,440 --> 00:45:31,800
Speaker 1: captured by so many forces that disincentivize civic participation, anything

794
00:45:31,920 --> 00:45:36,080
Speaker 1: from just like luxury culture, which for very simple things

795
00:45:36,160 --> 00:45:40,000
Speaker 1: like Netflix and social media, to the grinding culture of

796
00:45:40,160 --> 00:45:44,280
Speaker 1: like how much we work every day and paying your bills.

797
00:45:44,360 --> 00:45:46,319
Speaker 1: Like there's so many reasons why I think people don't

798
00:45:46,320 --> 00:45:51,160
Speaker 1: participates and ultimately I can't I can't blame people I

799
00:45:51,239 --> 00:45:54,279
Speaker 1: feel on the show before. But it's like the thing

800
00:45:54,360 --> 00:45:59,640
Speaker 1: with America as it's like they keep everybody for the

801
00:45:59,719 --> 00:46:02,640
Speaker 1: most part obviously we know, but for the most part,

802
00:46:02,680 --> 00:46:08,040
Speaker 1: they keep everybody just comfortable enough or just within the reach,

803
00:46:08,760 --> 00:46:12,120
Speaker 1: just with enough within the reach of comfort that it

804
00:46:12,320 --> 00:46:15,759
Speaker 1: kind of builds a general malaise to the whole thing,

805
00:46:15,880 --> 00:46:19,080
Speaker 1: you know what I mean, like a general yeah, yeah,

806
00:46:19,080 --> 00:46:24,440
Speaker 1: I got you today. All right, So, um, we are

807
00:46:24,520 --> 00:46:26,920
Speaker 1: going to take a little break, but when we come back,

808
00:46:26,960 --> 00:46:29,840
Speaker 1: we're gonna check out some Cleveland hip hop by waves,

809
00:46:29,920 --> 00:46:34,040
Speaker 1: some legendary heavyweights in the game and some you know,

810
00:46:34,560 --> 00:46:37,640
Speaker 1: some popular people, some not so popular people. But we're

811
00:46:37,640 --> 00:46:40,239
Speaker 1: just gonna check out what Cleveland has had to offer

812
00:46:40,320 --> 00:46:42,960
Speaker 1: over the years and currently. So we'll be back with

813
00:46:43,200 --> 00:46:51,360
Speaker 1: that after the jump. Okay, So we are back, and

814
00:46:51,480 --> 00:46:53,400
Speaker 1: we are going to be delving into some of the

815
00:46:54,640 --> 00:46:58,480
Speaker 1: finest or dopest or just you know, most popular hip

816
00:46:58,520 --> 00:47:00,759
Speaker 1: hop that we could find from artists hill and from

817
00:47:01,600 --> 00:47:05,400
Speaker 1: from the Cleveland area. The finest okay fine, the dopest

818
00:47:05,480 --> 00:47:09,560
Speaker 1: okay fine, the most popular Cleveland has a lot of

819
00:47:09,760 --> 00:47:12,839
Speaker 1: I think we have some Yeah, Cleveland's got some good ship.

820
00:47:14,360 --> 00:47:15,880
Speaker 1: There's a lot of people, a lot of cats are

821
00:47:15,920 --> 00:47:19,120
Speaker 1: from Cleveland. Somehows that, you know, people might not be

822
00:47:20,000 --> 00:47:22,239
Speaker 1: familiar with. But for one that I guess the most

823
00:47:22,320 --> 00:47:25,799
Speaker 1: popular rappers out of Cleveland would be pretty much all

824
00:47:25,840 --> 00:47:29,160
Speaker 1: the guys in Bone Bone as as an act. You know,

825
00:47:29,440 --> 00:47:31,640
Speaker 1: I'm I'm sitting here trying to think of even another

826
00:47:31,800 --> 00:47:34,640
Speaker 1: musical act that's from Cleveland, and somebody's probably gonna put

827
00:47:34,719 --> 00:47:37,080
Speaker 1: me to shame with that in the comments. But you know,

828
00:47:37,239 --> 00:47:41,200
Speaker 1: Bone has got to be probably like the ambassadors of

829
00:47:41,239 --> 00:47:45,560
Speaker 1: Cleveland at this point, right, But she also got mc brains,

830
00:47:45,800 --> 00:47:50,600
Speaker 1: we got bumps, I n F. You've got Ray Cash,

831
00:47:51,360 --> 00:47:58,880
Speaker 1: Charles Hamilton's the rapper, Kid Cutty King, Chip, Machine Gun Kelly.

832
00:47:59,640 --> 00:48:02,040
Speaker 1: Do we even call Machine Kelly a rapper anymore? I'm

833
00:48:02,080 --> 00:48:06,000
Speaker 1: not saying that legitimately. Paul on this list two, and

834
00:48:06,040 --> 00:48:12,680
Speaker 1: I'm feeling uncomfortable about it. Let's go Roscoe, Polly Rhyme.

835
00:48:13,239 --> 00:48:15,200
Speaker 1: I've never heard of Polly Rhyme before. He must be

836
00:48:15,320 --> 00:48:18,200
Speaker 1: an indie guy. But um, let's let's go with Uh.

837
00:48:18,480 --> 00:48:21,480
Speaker 1: Let's start with something popular first. So first track they're

838
00:48:21,520 --> 00:48:25,880
Speaker 1: gonna check out is by said act Bone. Um, this

839
00:48:26,120 --> 00:48:29,800
Speaker 1: is their track Cleveland Is the City, and this came

840
00:48:29,920 --> 00:48:34,719
Speaker 1: out in two thousand and eight, I believe. Let me

841
00:48:34,800 --> 00:48:39,279
Speaker 1: double check that for y'all. Yeah, this is a two

842
00:48:39,360 --> 00:48:42,400
Speaker 1: thousand eight songs. So let's give a little listen to

843
00:48:42,800 --> 00:48:47,400
Speaker 1: Cleveland as a City by Bone. When I up just

844
00:48:47,520 --> 00:48:52,480
Speaker 1: like my dad, but I was sticking out in Yeah,

845
00:48:52,600 --> 00:48:59,440
Speaker 1: I dig the Cleveland Rocks call out the Cleveland Um.

846
00:49:00,000 --> 00:49:03,040
Speaker 1: You know what it's the song is kind of uh,

847
00:49:03,400 --> 00:49:06,680
Speaker 1: it's pretty much them reminiscing about their younger days, growing

848
00:49:06,760 --> 00:49:09,880
Speaker 1: up in the hood before they got famous, and you know,

849
00:49:10,040 --> 00:49:13,200
Speaker 1: being in Cleveland and all the different I guess you

850
00:49:13,239 --> 00:49:15,200
Speaker 1: could call it the hardships that they lived through, but

851
00:49:15,400 --> 00:49:18,279
Speaker 1: like really it just it's it sounds more like they're

852
00:49:18,320 --> 00:49:20,800
Speaker 1: just kind of like talking some street ship, you know

853
00:49:20,840 --> 00:49:23,040
Speaker 1: what I mean. It's it's like, I think it's a

854
00:49:23,120 --> 00:49:27,160
Speaker 1: weird choice for such a pleasant you know, like like

855
00:49:27,320 --> 00:49:31,280
Speaker 1: you just described beautiful piano beat and a song about

856
00:49:31,320 --> 00:49:34,200
Speaker 1: like your home city. But the almost the entirety of

857
00:49:34,280 --> 00:49:36,759
Speaker 1: the song, they're talking about how people are going to

858
00:49:37,120 --> 00:49:39,399
Speaker 1: NonStop try to kill you the second that you touched

859
00:49:39,840 --> 00:49:42,560
Speaker 1: touchdown in Cleveland. How like every day, every nick in

860
00:49:42,640 --> 00:49:46,600
Speaker 1: the world is coming to kill you. Specifically. It's like

861
00:49:46,719 --> 00:49:49,360
Speaker 1: I can't picture drinking like sitting on my Grandma's like

862
00:49:49,480 --> 00:49:51,960
Speaker 1: front porn. She's drinking this iced tea, like shelling peace

863
00:49:52,040 --> 00:49:55,239
Speaker 1: with her listen to this beat, but also knowing about

864
00:49:55,239 --> 00:49:57,560
Speaker 1: because she's death of ship. She's not gonna be hearing

865
00:49:57,600 --> 00:50:05,440
Speaker 1: the lyrics and like think it's like it's mandatory to

866
00:50:05,560 --> 00:50:09,359
Speaker 1: leave you niggas bleeding. And I'm like, yeah, like I'm

867
00:50:09,360 --> 00:50:11,680
Speaker 1: gonna wait, I'm gonna save that trip till next year.

868
00:50:11,880 --> 00:50:15,839
Speaker 1: Next year, I'm gonna go to Cleveland. Yeah, I got

869
00:50:15,880 --> 00:50:22,160
Speaker 1: refund I can excuse me? Can I can? I? But

870
00:50:22,440 --> 00:50:24,080
Speaker 1: it is it is a dope song. I have no

871
00:50:24,480 --> 00:50:28,000
Speaker 1: idea what that is on. I think that was. I'm

872
00:50:28,040 --> 00:50:29,840
Speaker 1: not sure if that was on their first one or not.

873
00:50:30,760 --> 00:50:36,240
Speaker 1: Wait a second, that was it was on dog World. Okay, alright,

874
00:50:36,520 --> 00:50:40,839
Speaker 1: yeah World Up. Next, we are going to check out

875
00:50:41,000 --> 00:50:43,880
Speaker 1: someone who's a little bit more unknown to me because

876
00:50:43,920 --> 00:50:46,520
Speaker 1: the other two, the other two cats that we have

877
00:50:46,640 --> 00:50:49,600
Speaker 1: on here pretty pretty popular too. But we've got this guy,

878
00:50:49,840 --> 00:50:54,440
Speaker 1: Little Cray, little little Crazy. So he's an independent rapper

879
00:50:54,520 --> 00:50:56,680
Speaker 1: as far as I know. But let's check out his

880
00:50:56,800 --> 00:51:00,480
Speaker 1: song locked in the Safe a squizzy, none of it

881
00:51:00,600 --> 00:51:07,120
Speaker 1: Basica racing, It's going on a granite. Supposedly, according to

882
00:51:07,200 --> 00:51:10,080
Speaker 1: the source and article back from January of this year,

883
00:51:11,080 --> 00:51:15,840
Speaker 1: this track went viral. Um I'm not sure before. I

884
00:51:15,920 --> 00:51:18,000
Speaker 1: mean it stands on. It sounds like your standard new

885
00:51:18,120 --> 00:51:21,040
Speaker 1: trap fair Um yeah, no, no, no, no, no, Like

886
00:51:21,200 --> 00:51:23,400
Speaker 1: it's like, yeah, it's catchy. I've put it in the

887
00:51:23,520 --> 00:51:26,759
Speaker 1: rotation and just like for the ambiance. Yeah, you know,

888
00:51:26,800 --> 00:51:30,759
Speaker 1: it's bounty. It's it's it's bounty. It's fun. It's not

889
00:51:30,920 --> 00:51:33,200
Speaker 1: this is this is just a song. It's not necessarily

890
00:51:33,239 --> 00:51:35,960
Speaker 1: anything that's about Cleveland or anything like that, but just

891
00:51:36,120 --> 00:51:41,239
Speaker 1: as you know as a trap BANGERO with this, I

892
00:51:41,320 --> 00:51:43,680
Speaker 1: think it speaks some to like it's that somewhat of

893
00:51:43,719 --> 00:51:46,520
Speaker 1: the trappy sound of the South, yet it is from

894
00:51:46,600 --> 00:51:49,560
Speaker 1: the Midwest, and so I think it's interesting it speaks

895
00:51:49,600 --> 00:51:54,640
Speaker 1: to like the influence I think of the South across

896
00:51:55,120 --> 00:51:58,720
Speaker 1: like nationwide. Yeah, which I think says a little bit something.

897
00:51:59,239 --> 00:52:02,400
Speaker 1: We can glean a little bit of insight on, uh,

898
00:52:02,640 --> 00:52:05,160
Speaker 1: what's happening in the in the Midwest as well as

899
00:52:05,480 --> 00:52:09,120
Speaker 1: more specifically in the Akron Cleveland area. Have you heard

900
00:52:09,200 --> 00:52:11,440
Speaker 1: some of that crossover. Have you heard that goes from

901
00:52:11,480 --> 00:52:13,960
Speaker 1: New York rap in the last ten years? Yo? Like

902
00:52:14,080 --> 00:52:17,640
Speaker 1: all of them fulf like they're from Mississippi and sound

903
00:52:17,719 --> 00:52:21,920
Speaker 1: like from Mississippi. Like you have done to claim like, oh,

904
00:52:22,160 --> 00:52:24,040
Speaker 1: I do it for my city, Like yo, you all,

905
00:52:24,120 --> 00:52:26,320
Speaker 1: y'all do it for Atlanta. You just don't know that

906
00:52:26,520 --> 00:52:29,000
Speaker 1: you do. I mean, you know, the song a Little

907
00:52:29,040 --> 00:52:32,680
Speaker 1: Craysong is dope. It's just you know, it's like it's

908
00:52:32,719 --> 00:52:35,279
Speaker 1: hard for me to not say. I'm just at the

909
00:52:35,320 --> 00:52:38,319
Speaker 1: point it's like, man, I wish people would just rap

910
00:52:38,360 --> 00:52:43,480
Speaker 1: about different ship. Jesus, just rap about different ship. Just

911
00:52:44,600 --> 00:52:49,799
Speaker 1: rap about different ship. And I had that feeling when

912
00:52:49,920 --> 00:52:54,279
Speaker 1: I was like in my early twenties, like having grown

913
00:52:54,320 --> 00:52:56,959
Speaker 1: up around wrap but never but before I started making music,

914
00:52:57,520 --> 00:53:00,200
Speaker 1: Like when I discovered that you could rap about different ship,

915
00:53:00,320 --> 00:53:04,879
Speaker 1: like you were allowed to like it, blew my never

916
00:53:05,000 --> 00:53:07,160
Speaker 1: clicked in my head. You're allowed to wrap, You're allowed

917
00:53:07,200 --> 00:53:09,200
Speaker 1: to wrap about different exactly. Yeah, I know, I feel

918
00:53:09,239 --> 00:53:11,919
Speaker 1: I feel you so hard to this day, to this day,

919
00:53:12,040 --> 00:53:16,120
Speaker 1: I'm still like Nick's wrap just try, like, just try it.

920
00:53:16,239 --> 00:53:18,959
Speaker 1: It's fun. It's fun to wrap different There is there

921
00:53:19,280 --> 00:53:24,439
Speaker 1: is no new thing that any of y'all are gonna

922
00:53:24,560 --> 00:53:30,840
Speaker 1: say about money, girls, board hood ship. There's like I

923
00:53:30,960 --> 00:53:35,720
Speaker 1: will say, I will say where where like people do succeed.

924
00:53:36,239 --> 00:53:40,680
Speaker 1: It's not that they're saying anything new about money or

925
00:53:40,880 --> 00:53:44,560
Speaker 1: weed or ladies say that the different That's what I'm saying, Like,

926
00:53:44,760 --> 00:53:47,359
Speaker 1: what was it? What was it? I'm all four, Look,

927
00:53:47,480 --> 00:53:50,560
Speaker 1: I'm not sitting here talking like when when fucking little

928
00:53:50,600 --> 00:53:53,200
Speaker 1: Yati whoever said she blew my dick like a like

929
00:53:53,280 --> 00:53:58,480
Speaker 1: a child. Right, but look, but look he said something

930
00:53:59,239 --> 00:54:04,880
Speaker 1: the same thing in a new way. I disagree. I

931
00:54:04,920 --> 00:54:06,680
Speaker 1: think it comes and it doesn't come down to what

932
00:54:06,840 --> 00:54:09,520
Speaker 1: the content of what they're saying. But it's the metaphors,

933
00:54:09,600 --> 00:54:13,480
Speaker 1: it's the analogies, the punch lines. That is. That is

934
00:54:13,520 --> 00:54:17,080
Speaker 1: why I continue to stream hip hop. What I'm saying, well,

935
00:54:17,120 --> 00:54:18,920
Speaker 1: I'll see, that's just where we're different because of what

936
00:54:19,040 --> 00:54:22,960
Speaker 1: I'm saying is I'm not talking about say different ship

937
00:54:23,160 --> 00:54:25,839
Speaker 1: as in, don't rap about what you want to wrap

938
00:54:25,920 --> 00:54:29,160
Speaker 1: about or wrap about. That's what I'm saying. I'm saying,

939
00:54:29,280 --> 00:54:33,040
Speaker 1: say different ship as in if okay, let's just say

940
00:54:33,120 --> 00:54:35,520
Speaker 1: if I were going to switch my whole ship up

941
00:54:35,840 --> 00:54:37,520
Speaker 1: and I was gonna be like, you know what, I'm

942
00:54:37,560 --> 00:54:41,600
Speaker 1: gonna start rapping about money and hose and all this

943
00:54:41,680 --> 00:54:44,839
Speaker 1: sort of ship. Do you know how dope that ship

944
00:54:44,960 --> 00:54:47,440
Speaker 1: would sound because I would be thinking of like the

945
00:54:47,560 --> 00:54:51,040
Speaker 1: coolest way possible to express those ideas. Because I've been

946
00:54:51,120 --> 00:54:54,839
Speaker 1: listening to rap for twenty five years, I've heard everybody saying, oh,

947
00:54:55,080 --> 00:54:57,359
Speaker 1: she suck my dick. Like you know what I'm saying,

948
00:54:57,480 --> 00:54:59,719
Speaker 1: like like, be a bit more clever with the ship,

949
00:55:00,239 --> 00:55:02,440
Speaker 1: you know, flip it up, or say someth funny like

950
00:55:02,680 --> 00:55:04,759
Speaker 1: two chains is good for it. So I'm not talking.

951
00:55:04,800 --> 00:55:06,560
Speaker 1: This is not like me like hate, Like, it's not

952
00:55:06,640 --> 00:55:10,200
Speaker 1: hating on the style or something to chains consistently. It's

953
00:55:10,280 --> 00:55:13,080
Speaker 1: saying shit cleverly and funny, you know what I'm saying,

954
00:55:13,200 --> 00:55:15,520
Speaker 1: and being witty with it and ship like that. So

955
00:55:15,719 --> 00:55:20,640
Speaker 1: I'm not hating. I'm just saying, man like, just just

956
00:55:20,719 --> 00:55:24,600
Speaker 1: switch it up, y'all. Switch it up, y'all? Do you?

957
00:55:24,840 --> 00:55:27,360
Speaker 1: But he's just hating a little bit. That's this is

958
00:55:27,360 --> 00:55:31,600
Speaker 1: a little bit hate the sprinkle, right, Let's let's go

959
00:55:31,719 --> 00:55:35,880
Speaker 1: to the next one. This song actually I really hitters.

960
00:55:35,960 --> 00:55:39,520
Speaker 1: Let's go with a kid cutty all right, just kid

961
00:55:39,600 --> 00:55:45,120
Speaker 1: Cutties track. Cleveland is the reason this is a ten song,

962
00:55:46,160 --> 00:55:48,360
Speaker 1: and this one also, I think this was on a

963
00:55:48,480 --> 00:55:51,480
Speaker 1: Kid Cutty mixtape of some sort. But let's check the

964
00:55:51,520 --> 00:55:56,200
Speaker 1: shut out y'all. Really hear it now hit him like

965
00:55:56,480 --> 00:56:02,120
Speaker 1: kind of books, and Cleveland is the reason I'm cool.

966
00:56:02,360 --> 00:56:04,960
Speaker 1: That's it. This whole song. He's just being cool as

967
00:56:04,960 --> 00:56:10,440
Speaker 1: a motherfucker keep two phones. He just like I'm complex,

968
00:56:10,560 --> 00:56:14,120
Speaker 1: like the magazine. I did not like that complex twice thing.

969
00:56:15,440 --> 00:56:19,279
Speaker 1: I know. I was like separately, I'm like, oh, both

970
00:56:19,360 --> 00:56:21,400
Speaker 1: those lines as bad as hell, but then he did

971
00:56:21,440 --> 00:56:26,279
Speaker 1: it twice nidna, But I just yeah, I love the

972
00:56:26,360 --> 00:56:31,640
Speaker 1: song just like Ultra slide, Like the beat is just moonwalking.

973
00:56:32,040 --> 00:56:36,560
Speaker 1: Yeah yeah. And the reason he's cool, Yeah I did it,

974
00:56:36,640 --> 00:56:39,040
Speaker 1: it's I wouldn't you know. It's hard to say. Uh,

975
00:56:39,520 --> 00:56:42,360
Speaker 1: I can't really say it's like about the city of Cleveland,

976
00:56:42,400 --> 00:56:45,200
Speaker 1: but it's more just like a fucking like Cleveland pride

977
00:56:45,239 --> 00:56:46,880
Speaker 1: sort of thing, you know what I mean, Like, you know,

978
00:56:46,960 --> 00:56:48,960
Speaker 1: the Cleveland is the city that we're from, but it's

979
00:56:48,960 --> 00:56:53,239
Speaker 1: not necessarily talking be honest, like like the song is

980
00:56:53,320 --> 00:56:55,520
Speaker 1: just like I'm cool and he's sitting there listening to

981
00:56:55,520 --> 00:56:56,960
Speaker 1: you like, damn, I want to say, that's so cool,

982
00:56:57,000 --> 00:56:58,320
Speaker 1: and he's like on the hook just like, oh, in

983
00:56:58,400 --> 00:57:00,879
Speaker 1: case you were wondering, Cleve and it's the reason of cool.

984
00:57:00,880 --> 00:57:02,960
Speaker 1: And then he got he got that. At the beginning

985
00:57:03,000 --> 00:57:05,400
Speaker 1: of he's like, I'm from Cleveland. Think that y'all can

986
00:57:05,480 --> 00:57:08,479
Speaker 1: hear it? Now? Yeah? I did that. This song is fired.

987
00:57:08,560 --> 00:57:11,200
Speaker 1: This song is fired. The next joint. I'm sorry what

988
00:57:11,239 --> 00:57:15,200
Speaker 1: you're saying. Yes, that's continuous. Okay. So for the last

989
00:57:15,320 --> 00:57:18,520
Speaker 1: song that we have, you know, I mean, I guess,

990
00:57:18,760 --> 00:57:21,320
Speaker 1: I guess homies holding this homies holding it down for

991
00:57:22,240 --> 00:57:25,440
Speaker 1: Cleveland right now, I guess in other genres. So this

992
00:57:25,520 --> 00:57:28,920
Speaker 1: would be Machine Gun Kelly, who has recently kind of

993
00:57:29,360 --> 00:57:33,400
Speaker 1: turned his attention to the world of pop rock. But

994
00:57:34,480 --> 00:57:38,840
Speaker 1: back before he was famous, Gun Kelly was a local

995
00:57:38,920 --> 00:57:42,080
Speaker 1: Cleveland rapper that I do remember. I would see like

996
00:57:42,240 --> 00:57:46,000
Speaker 1: his his freestyles and his uh you know, his vlogs

997
00:57:46,080 --> 00:57:47,920
Speaker 1: and ship like that. Back in the two thousand ten,

998
00:57:48,000 --> 00:57:51,320
Speaker 1: two thousand eleven days before did he came up and

999
00:57:51,400 --> 00:57:54,400
Speaker 1: signed him. But this one, this track is from back then.

1000
00:57:54,440 --> 00:57:59,120
Speaker 1: There's a two thousand ten song by Machine Gun Kelly

1001
00:57:59,200 --> 00:58:01,280
Speaker 1: back when he was going by Machine Gun Kelly and

1002
00:58:01,360 --> 00:58:04,680
Speaker 1: this is called Cleveland simply so let's check this out

1003
00:58:04,840 --> 00:58:13,160
Speaker 1: featuring Dubo. I'm going up in the high school. Yeah, man,

1004
00:58:13,560 --> 00:58:16,440
Speaker 1: this makes me sad. I wish he had stuck with this.

1005
00:58:17,760 --> 00:58:21,280
Speaker 1: I know. This is actually another Cleveland Pride song. Shouting

1006
00:58:21,320 --> 00:58:24,760
Speaker 1: out of city, shouting out where he video He's got

1007
00:58:24,840 --> 00:58:28,240
Speaker 1: lots of sights of the city because I'm still white

1008
00:58:28,280 --> 00:58:31,040
Speaker 1: boy from Shaker, you know what I'm saying. Yeah, yeah, yeah,

1009
00:58:31,120 --> 00:58:34,600
Speaker 1: which is interestingly, uh, one of the districts that went

1010
00:58:34,680 --> 00:58:38,280
Speaker 1: for seance L. Brown. Where was you at because you

1011
00:58:39,440 --> 00:58:43,400
Speaker 1: because you shout out South from Nina. No, it's good.

1012
00:58:43,560 --> 00:58:46,479
Speaker 1: I mean, my biggest takeaway from it, it's not even

1013
00:58:47,360 --> 00:58:50,760
Speaker 1: anything to do with Cleveland or anything like that, But damn,

1014
00:58:50,840 --> 00:58:53,360
Speaker 1: where did that Where did that two thousand ten machine gun?

1015
00:58:53,520 --> 00:58:56,120
Speaker 1: Kelly go at? You know what I'm saying, Where the

1016
00:58:56,160 --> 00:58:59,560
Speaker 1: machine gun? Where did that two ten sounds go? All music?

1017
00:58:59,640 --> 00:59:04,400
Speaker 1: We're at the where the bars and like the like

1018
00:59:05,240 --> 00:59:08,480
Speaker 1: the We talked about this a little little bit last

1019
00:59:08,520 --> 00:59:11,200
Speaker 1: week with Kanye. This was the same era as like graduation.

1020
00:59:11,320 --> 00:59:13,960
Speaker 1: If I'm not mistaken, well, the graduation was a little

1021
00:59:13,960 --> 00:59:18,000
Speaker 1: bit earlier than this. Perhaps this is like the this

1022
00:59:18,200 --> 00:59:20,680
Speaker 1: is the you can hear they were thinking about the

1023
00:59:21,200 --> 00:59:25,000
Speaker 1: beautiful Fantasy era. Yeah, so you can hear them thinking

1024
00:59:25,000 --> 00:59:27,840
Speaker 1: about how this kind of music sound in the stadium,

1025
00:59:28,800 --> 00:59:33,080
Speaker 1: you know, like yeah, and you feel you feel do

1026
00:59:33,160 --> 00:59:35,919
Speaker 1: you do you think this? This might be a little controversial,

1027
00:59:36,040 --> 00:59:38,880
Speaker 1: but like do you think that? When did he signed him?

1028
00:59:38,920 --> 00:59:41,280
Speaker 1: He was like, Yo, man, all that good rapping that

1029
00:59:41,320 --> 00:59:45,640
Speaker 1: you're doing, you gotta stop that ship. You gotta knock

1030
00:59:45,720 --> 00:59:48,800
Speaker 1: that off right now, all that fast not so you

1031
00:59:48,880 --> 00:59:51,120
Speaker 1: need to slow that ship down. We're gonna get you

1032
00:59:51,240 --> 00:59:55,840
Speaker 1: this rock gutar. I don't know what happened. I just

1033
00:59:55,920 --> 00:59:57,600
Speaker 1: pictured it in my head, like when you like, are

1034
00:59:57,640 --> 01:00:00,560
Speaker 1: you like forming a base on a little spinning thing

1035
01:00:00,760 --> 01:00:05,080
Speaker 1: with clay and like if you fucking poke it too

1036
01:00:05,160 --> 01:00:09,600
Speaker 1: hard and so you gotta be real gentle. We've gotta

1037
01:00:09,600 --> 01:00:11,960
Speaker 1: be real gentle with it. And you just get niggas

1038
01:00:12,000 --> 01:00:15,520
Speaker 1: coming in like yeah do it to like yes manny

1039
01:00:15,640 --> 01:00:18,560
Speaker 1: anything they do, and it's just like stabs the clay

1040
01:00:18,760 --> 01:00:20,440
Speaker 1: right in the middle of the whole thing, spins off

1041
01:00:20,480 --> 01:00:22,920
Speaker 1: the ship because it come in the studio like yeah, man,

1042
01:00:22,960 --> 01:00:24,600
Speaker 1: I just do it, Like what do you think of

1043
01:00:24,680 --> 01:00:28,040
Speaker 1: my bars? When I said, like my nick is La

1044
01:00:30,040 --> 01:00:31,880
Speaker 1: like yeah, I love it, and then it just sucking

1045
01:00:31,960 --> 01:00:38,360
Speaker 1: throws the whole printed. Yes, that that was machine Gun

1046
01:00:38,520 --> 01:00:42,480
Speaker 1: Kelly's Cleveland. That was before eminem made him start doing

1047
01:00:42,560 --> 01:00:47,160
Speaker 1: rock music. So I think I think we're done with

1048
01:00:47,320 --> 01:00:50,200
Speaker 1: this episode. I'm really excited about next week's episode. We're

1049
01:00:50,200 --> 01:00:53,280
Speaker 1: going to be talking about eco rap, and you know

1050
01:00:53,440 --> 01:00:56,600
Speaker 1: that's obviously going to tie into how our world is

1051
01:00:57,320 --> 01:01:03,080
Speaker 1: on a timeline of impending global environmental disaster, but we'll

1052
01:01:03,080 --> 01:01:06,120
Speaker 1: get into that another day. I think we gotta end

1053
01:01:06,160 --> 01:01:09,560
Speaker 1: this thing, don't we. I think we do. Hey, Joe

1054
01:01:10,640 --> 01:01:18,080
Speaker 1: Gee run us a bet ha ha ha uh So

1055
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Speaker 1: you win some, you lose something, you're tryum be beaten,

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Speaker 1: but when you come back again, baby's sweet. It doesn't

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Speaker 1: have nobody saying they cheated it, that you got walla

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Speaker 1: buff voices and people to peep. Cory Bush, for example,

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Speaker 1: Joe Biden tried to six times and now he's to commend.

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Speaker 1: So here's my aunts and feel free to tweet it

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Speaker 1: second times, chimes co getting Nina go get an We'll

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Speaker 1: come back up. They ask, is it's time around? I swear, hey,

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Speaker 1: we are waiting on reparations, see all next week, waiting

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Speaker 1: on reparations the production of iHeart Radio. For more podcasts

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Speaker 1: from my heart Radio, check out the iHeart Radio app,

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Speaker 1: Apple podcast, or wherever you get your podcasts.