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Speaker 1: Hello the Internet, and welcome to Season to fifty nine,

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Speaker 1: episode one of My Guys, a production of My Heart Radio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into American's share consciousness. And it is Monday, October seventeen two,

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Speaker 1: which of course means you know, we got it all.

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Speaker 1: It's National Pasta Day. What can you hear me? Yeah, yeah, yeah, yeah,

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Speaker 1: I heard you. I'm just taking I feel like there's

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Speaker 1: something happening with my brain where every time I hear

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Speaker 1: one of these, I was like, it was just that

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Speaker 1: two days ago. But maybe right we heard somebody say

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Speaker 1: that pop pasta was whacking, so we were having a

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Speaker 1: long conversation about pasta. I don't know, Oh, yeah that

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Speaker 1: was that was Mark Schindler. Yeah, I'm basketball writer who's

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Speaker 1: like anti pasta. It's all scrambled eggs up here, folks,

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Speaker 1: it's all it's all gone. Uh yeah. It's National Pasta Day,

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Speaker 1: National Mulligan Day, Black Poetry Day, now, National Edge Day,

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Speaker 1: and World Trauma Day. I don't know. I'm trying to

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Speaker 1: figure out what is National Edge Day? Is it for edge?

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Speaker 1: Just oh for straight edge? Joe? Oh, if you got

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Speaker 1: the black x is bro if you're not now you

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Speaker 1: never were. That's all the straight igel him. You talk

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Speaker 1: around me, so shout out to the straight edge. Do

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Speaker 1: they not even smoke cigarettes? They don't do anything. I

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Speaker 1: mean pretty yet, know you it's a clean lifestyle. It's

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Speaker 1: a clean lifestyle. It's like boy Scouts definition of nothing.

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Speaker 1: No drugs, no drinking, no none of it. Just do Yeah, dude,

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Speaker 1: just refrain, bro, you know it's so appropriate. Also, that

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Speaker 1: is a National Mulligan Day because we actually did that

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Speaker 1: rendition of what days it is twice, so we took

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Speaker 1: a mulligan on National Mulligan Day because we had we

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Speaker 1: had an internet. Incredible. We're really living National Mulligan Day

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Speaker 1: to the fullest. Well anyways, my name's Jack O'Brien. A

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Speaker 1: K too fastly, too furious. That is from marsh in Tech.

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Speaker 1: I think it is a reference to the fact that

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Speaker 1: I used the word fastly on an episode, which is

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Speaker 1: not a word. You don't you don't need to add

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Speaker 1: the l y, but I think I think you'd like

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Speaker 1: to be a word. Yeah, sometimes you just need to

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Speaker 1: add the l y. It just feels verbify whatever you want,

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Speaker 1: and I mean fast doesn't need it to be an adverb.

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Speaker 1: But it doesn't hurt unless you want people to think

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Speaker 1: you're smart. Fast lea fast least do it please fastly, sir. Anyways,

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

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Speaker 1: host Mr Miles Grass Miles Gray a k. It was

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Speaker 1: all the dream I used to read Tago Beat magazine,

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Speaker 1: shack up in the limousine. Yeah, Moss written void bellower

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Speaker 1: a void written on Twitter. Thanks for that one, because yeah,

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Speaker 1: I still can't, like, I can't get that Aaron Carter

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Speaker 1: video out of my mind. Yeah, oh it's gonna it's

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Speaker 1: there for the worst thing I've ever said part of

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Speaker 1: Who We Are, Miles shout out the homie Kylie who

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Speaker 1: work with who go on his campaign. She tweeted at me,

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Speaker 1: She's like, I saw Aaron Carter perform in twenty thirteen

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Speaker 1: and he opened with how I Beat Shock and the

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Speaker 1: crowd went wild. That was in Iowa, so yeah, I

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Speaker 1: mean that is That was in Iowa too, so yeah,

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Speaker 1: they were feeling it. That's a that is the classic.

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Speaker 1: I'm surprised it didn't even hit. I mean, I was

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Speaker 1: probably a little bit too old for to be noticing

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Speaker 1: what Aaron Carter was up to at the time. That

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Speaker 1: that song came out, but it seems like a real

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Speaker 1: slam dunk of a of a premise, you know, like

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Speaker 1: a parents just don't understand for the just it turns

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Speaker 1: out talent is important. Having Will Smith perform perform a

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Speaker 1: straightforward premise is a little bit better than Aaron Carter Anyway,

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Speaker 1: It's Miles. We are thrilled to be joined in our

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Speaker 1: third seat by a very funny comedian whose writings appeared

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Speaker 1: to make Sweeney's and whose comedy has been highlighted an

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Speaker 1: NPR Vulture, The l A Times one of illuminative Native

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Speaker 1: American comedians to follow, and you can catch him on Friday,

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Speaker 1: November eleven at ten pm hosting Thanks but No Thanksgiving

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Speaker 1: at Dynasty Typewriter. Please welcome back to the show, the

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Speaker 1: hilarious and talented Brian Body. Welcome. What's up? Happy National

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Speaker 1: Edge Day? Yes, National We can celebrate however you want.

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Speaker 1: You can celebrate by being a straight edge. That you

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Speaker 1: can celebrate by edging, you know, as we do on

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Speaker 1: this side completely. It's up to you. But Briant, wait, Brian,

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Speaker 1: you moved out to l A, Right, I moved out

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Speaker 1: to l A. I'm writing on this animated show on

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Speaker 1: Fox called The Great North. Watch it on Sunday's seven

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Speaker 1: pm Pacific. That's from the people who do Bob's Burgers, right, yeah, yeah, yeah,

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Speaker 1: shout out Lauren, Wendy, Lizzy, all all the people from work,

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Speaker 1: everybody there. So I I just because I remember. Yeah,

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Speaker 1: when I think you didn't you like to throw up

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Speaker 1: a pick of your office because you'd be writing now. Yeah,

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Speaker 1: I see what you pick. Yeah, let people know that

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Speaker 1: I can read. You don't use words like fair. Yeah,

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Speaker 1: there's rumors out there, and you gotta, you know, keep

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Speaker 1: set there sometimes just dead the rumors immediately for sure.

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Speaker 1: How are you finding l A? You like it? You

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Speaker 1: love it? Right, everybody moves from the East coast back

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Speaker 1: to l A. They love it. I do. I do

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Speaker 1: love it. I do love it. There's a lot of Uh.

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Speaker 1: I did try to get dinner last night. Everything closed

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Speaker 1: at ten pm, though, So I will say that is

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Speaker 1: an error on the city's end, that mistake. Yeah, yeah, yeah,

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Speaker 1: it's it's something we're trying to change. No, I don't

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Speaker 1: think we are, and that's why you need to vote

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Speaker 1: this November. Yeah, keep at the very least. Yeah, I don't.

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Speaker 1: Maybe there will be something on the belt to be like,

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Speaker 1: can you just be open a little bit fucking later?

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Speaker 1: Right there there is I live in West Hollywood. There's

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Speaker 1: a lot of signs up for it's like elect Steve Martin,

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Speaker 1: and I'm just like Steve Martin running for local. Wait,

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Speaker 1: wait a second. The banjo logo was a pretty normal name.

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Speaker 1: But I feel like I would have noticed that if

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Speaker 1: he was really running someone named Steve Martin. Someone set. Yeah,

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Speaker 1: I I like walk do do a couple of laps

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Speaker 1: around the block, just to get my blood pumping every

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Speaker 1: every once in a while in the morning. And today

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Speaker 1: I did it like a little bit earlier and realized

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Speaker 1: that everybody in in l A Is like up and

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Speaker 1: out by like seven in the morning, like they're It

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Speaker 1: was packed. It was jam packed at like whereas like

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Speaker 1: I normally do it at nine and it's just me

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Speaker 1: and like one old guy. Damn. Yeah, so so many

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Speaker 1: dogs people on walking their dogs. Yeah. L A loves

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Speaker 1: to go to bed or wake up in the morning

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Speaker 1: bright and early with the with the dogs and uh

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Speaker 1: just talk around into the cities a mess exactly. All right, Brian,

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Speaker 1: We're gonna get to know you a little bit better.

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Speaker 1: In a moment. First, we're gonna tell our listeners a

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Speaker 1: couple of things we're talking about. We're talking about more

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Speaker 1: evidence than January six was the plan all along for Trump,

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Speaker 1: and that it was a cynical plan that he at

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Speaker 1: no point believed that he actually won the election. We're

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Speaker 1: gonna talk about the black vote with regards to the

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Speaker 1: Pennsylvania Senate, races V Fetterman and yeah, real people as

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Speaker 1: props type ship going on. Ye, yeah, And we will

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Speaker 1: talk about why the police are a bad idea, all

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Speaker 1: of that plenty more. But first, Brian, we do like

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Speaker 1: to ask our guest, what is something from your search history?

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Speaker 1: Alicia Cuthberg. Cuthberg, I don't know if you remember her.

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Speaker 1: She was like she was, isn't it Burt? Is it

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Speaker 1: with a T? Maybe Alicia Cooper? She was on Yeah,

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Speaker 1: she was on twenty four. She was in that Wheezer

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Speaker 1: music video. Yeah it's it's yeah, Kuthbert. I think it

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Speaker 1: was a T. I like Kuthberg, Alicia. I think Alicia

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Speaker 1: Alicia cook Bert. Who, man, you're so on like some

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Speaker 1: Swedish intonation in there. Yeah it's you know why I

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Speaker 1: said it because one time I met her in like

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Speaker 1: the odds or somebody introduced me and they said Kuthbert

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Speaker 1: Uber and I was like, oh for real. And I

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Speaker 1: don't know if they were mistake. I don't know if

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Speaker 1: they were like mispronouncing. But then I've always been unsettled

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Speaker 1: on how to say her name because the one time

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Speaker 1: someone introduced like was like and this, oh, yeah, Alicia

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Speaker 1: Kuthbers's over there, and say what's up? I was like

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Speaker 1: kuth And I think I always pronounced it as Elijah

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Speaker 1: for some reason, even though that's not the right, that's

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Speaker 1: not right. But I was like, Alicia, what are you

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Speaker 1: guys talking about? It's Elijah like character in the Bible.

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Speaker 1: It's Elijah Cuthberg. This is why Google exists. So what

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Speaker 1: are you looking at? Our our main home, Queen. We

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Speaker 1: do this game at lunch called the movie game. I'm

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Speaker 1: sure you've heard of it, where you like, you list

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Speaker 1: an actor a movie, and then you and if somebody

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Speaker 1: says a movie, you have to name an actor in

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Speaker 1: that movie, and then you have to name a movie

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Speaker 1: from that actor, and it keeps going on and on

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Speaker 1: until you know, elimination, until somebody gets eliminated. I have

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Speaker 1: never won this game. I'm bad at it, and it's

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Speaker 1: punishable by death, right, punishable by death. The closest, the

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Speaker 1: closest I ever got was this week. I was given

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Speaker 1: Alicia Cuthberg Cuthberg, Elijah Elijah Cuthberg, Elijah Cuthberg, Elijah Cuthberg,

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Speaker 1: Alicia Cusberg. And I knew who she was in a

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Speaker 1: movie I had seen, but I couldn't think of the title.

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Speaker 1: And then so at Old School that was what it

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Speaker 1: was based on. Somebody said old School. Then I think

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Speaker 1: I said Old School. The other person said, um, Elijah

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Speaker 1: Elijah Kuthburg, And then I was like, what is that

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Speaker 1: other movie? I couldn't remember? I lost so I immediately googled,

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Speaker 1: googled her. Right, and she was in two two kinds

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Speaker 1: of big movies that were pretty pivotal to my you know, adolescence,

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Speaker 1: not really Girl next Door. I saw that, yeah, right, yeah,

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Speaker 1: and then House of Wax, Oh yeah, And then that's

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Speaker 1: kind of it for that was a wrap on cous

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Speaker 1: that was on the coup. We're a wrap on couth

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Speaker 1: just for as a career here in Hollywood. Yeah, she

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Speaker 1: was blown off the screen by the screen acting debut

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Speaker 1: of Paris Hilton, and I think from that point forward,

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Speaker 1: you know, we just have them. Looking back, we've been like,

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Speaker 1: Paris Hilton is a film star. I mean, who could

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Speaker 1: forget Ripo Genetic Opera or whatever that was. I actually

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Speaker 1: don't know what you're talking about, So apparently you don't

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Speaker 1: know Repo the Genetic Opera. Repo the Genetic Opera was

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Speaker 1: like this fucking horror musical that like Paul Sorvino isn't

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Speaker 1: and also Paris Hilton. Yeah, I haven't. I haven't seen that.

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Speaker 1: I'm sorry. That was just like a meme. I felt

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Speaker 1: like in pop really end the game with Repo. The

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Speaker 1: next time you're playing the game. Oh yeah, if Paul

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Speaker 1: Sorvino gets pulled, yo, Brian, put that one in the Yeah,

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Speaker 1: put that one in your pocket for the next one.

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Speaker 1: If you ever get Paul Sorvino fucking Alexa Vega from

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Speaker 1: Spy Kids, Oh, Paris Hilton, you could deploy that m

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Speaker 1: Paul Sorvino Father. Yeah, yeah, Nina, I think is also

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Speaker 1: damn pauls Orvinos and good Fellows? Is that correct? Yeah? Yeah,

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Speaker 1: I'm just trying to I'm trying to chain it back

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Speaker 1: to like some movies that might be thrown out during

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Speaker 1: the thing, so we can arm breath with the ability

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Speaker 1: to pull Brian your next Like, the strategy of the

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Speaker 1: next one is you try and seed different answers to

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Speaker 1: eventually get to Paul Sorvino so you can throw out

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Speaker 1: repo the Genetic Opera and debt debt it from there. Wow. Yeah,

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Speaker 1: I totally missed that. What is something, Brian that you

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Speaker 1: think is overrated? I touched on this a little bit.

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Speaker 1: I think that overrated breakfast sandwiches in l A. And

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Speaker 1: when I'm talking about l A, I feel like anywhere

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Speaker 1: I go to get a breakfast sandwich or just get food,

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Speaker 1: they have a breakfast sandwich on the menu, and it's

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Speaker 1: always like it's good. I'll say, I'll give it that,

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Speaker 1: but it's always just like an egg and like a

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Speaker 1: meat and like mixed greens on like a decent bread

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Speaker 1: with like from sauce. And I'm like, I this is good.

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Speaker 1: But I'm also like and it comes with like a

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Speaker 1: side salad, and I'm just like, why does every place

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Speaker 1: have this? Right? Yeah, it's funny when I when you

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Speaker 1: say that, I'm like, well, I mean I feel like

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Speaker 1: New York, New York got the better breakfast sandwiches. Because

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Speaker 1: they feel like they're just protein grease bombs that could

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Speaker 1: set you back hours if you digested, which I like

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Speaker 1: personally and like in l A. Yeah, the idea of

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Speaker 1: a breakfast sandwich that comes with a side salad that

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Speaker 1: I'm like, please, let's not do this. I'm not here

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Speaker 1: for the side sound that I'm here for the cholesterol

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Speaker 1: bomb that is betwixt two pieces of bread. Yeah. Like,

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Speaker 1: if I'm getting food that early, I'm getting it for

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Speaker 1: a reason, like I'm not operating at full capacity of

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Speaker 1: me what my body wants, which is protein. And Greece,

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Speaker 1: I think I think l A are it's our breakfast

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Speaker 1: burrito game is that's that's where we excel, right, And

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Speaker 1: sandwiches we can't. We're fucking, We're sucking. We're copying other places.

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Speaker 1: And that's when like l A food is the worst,

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Speaker 1: is when it's copying other like regional ship rather than

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Speaker 1: just like, well we do well. That's why the breakfast burrito,

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Speaker 1: I feel like, send you a few places that you

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Speaker 1: would be like this is the size of a cinder

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Speaker 1: block and I could put in the freezer and take

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Speaker 1: a little slice off every day for a year and

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Speaker 1: be fully filled and that's what I need that exactly.

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Speaker 1: I don't think I've even had to breakfast burrito since

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Speaker 1: I've been here. Oh, Brian, alright, alright, don't you want

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Speaker 1: to just be in be in a coma for a

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Speaker 1: whole day? Is that not what you're craving. We let's

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Speaker 1: let me put my ass right back to bed here. Yeah,

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Speaker 1: it's hard. Every bread, baste thing, every bread based like

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Speaker 1: food in l A is like, oh yeah, these people

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Speaker 1: came out here from Brooklyn. They they even like import

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Speaker 1: the water from Brooklyn, so like that's why it's good.

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Speaker 1: They they've just admitted defeat except for doughnuts, which are

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Speaker 1: I guess the pastry, and l A does donuts pretty

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Speaker 1: pretty well and with confidence. But all the yeah, any bagels,

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Speaker 1: any pizza, any sandwich, bread, it's all like and here's

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Speaker 1: why it doesn't suck. I know what you're thinking. It sucks,

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Speaker 1: I guess, or they do the thing. They're like, don't worry,

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Speaker 1: it's not our shitty l A bread. These are Amoroso

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Speaker 1: rolls straight from Philly, you know. And you're like, okay, okay,

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Speaker 1: all right, okay, don't worry. What you're eating wasn't made here. Yeah,

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Speaker 1: don't worry. Was something you said you think is underrated bread? Yeah? Sorry,

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Speaker 1: coming heavy, hot and heavy with like the food related ship.

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Speaker 1: But that's kind of just like what my life has

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Speaker 1: been like recently. As I said it earlier. Underrated staying

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Speaker 1: past staying open past ten pm? No, yeah, that do

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Speaker 1: it on a Thursday too. What's okay? When you were

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Speaker 1: when you were in New York, what was your go

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Speaker 1: to past ten? Okay? So, and then like where they

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Speaker 1: had like a little hot food or they could put

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Speaker 1: like they had a little deli section. Yeah, they had

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Speaker 1: a Delhi section. You could get like a cheese steak

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Speaker 1: or something. Still, right, I think I'm trying to think

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Speaker 1: of Wow, I mean like street vendors typically are out late.

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Speaker 1: That's usually the food that is open late because they

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Speaker 1: understand people fucking work past ten and may need something

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Speaker 1: like a quick bite to eat on their way home.

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Speaker 1: That's usually the most luck I would find is like

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Speaker 1: you gotta find like your mobile tucket idea or like

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Speaker 1: taco truck or something. They typically stay out past ten,

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Speaker 1: but certain areas, Yeah, like it's a wrap like a

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Speaker 1: fucking like nine thirty even and you're basically going to

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Speaker 1: the sleep of your sound. They're going to sleep of

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Speaker 1: the sounds of your stomach, just gargling. For dear life,

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Speaker 1: your stomach is gonna sing you to sleep. I forgot

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Speaker 1: about street vendors I need. I haven't really seen one

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Speaker 1: in my area, which is kind of that's my fault. Well,

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Speaker 1: I mean that's and that's a big issue in l A,

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Speaker 1: right because street vending is like this huge thing and

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Speaker 1: it's it's just it's just such a vibrant economy, but

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Speaker 1: there's so many forces at work trying to make it

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Speaker 1: illegal or make people jump through fucking hoops and be like,

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Speaker 1: oh my god, this food is so unsafe when people have,

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Speaker 1: you know, like time and again you're like, man, I've

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Speaker 1: gotten more sick out of fucking brick and mortar like

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Speaker 1: chain restaurant than I have from like someone selling like

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Speaker 1: alta or something on the fucking street. And yeah, like

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Speaker 1: I think that's what's kind of it depends on like

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Speaker 1: some areas just have better street like food vending culture

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Speaker 1: than others. You gotta like crawl around the city and

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Speaker 1: actually use your nose. You gotta be like, oh wait

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Speaker 1: a second, it smells like might be a does it

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Speaker 1: feel does eleven feel like a fair time to close,

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Speaker 1: Like you can't like ten feels. I feel like ten

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Speaker 1: is like when the nightly, like the ten o'clock local

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Speaker 1: news comes on, you should have to at least eleven

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Speaker 1: eleven even just like pair down the menu. I would

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Speaker 1: be fine with that. Like you can't order like, you know,

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Speaker 1: extensive stuff, but give me, give me the option to

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Speaker 1: get like fries right right, the very least right. Yeah,

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Speaker 1: it's it really feels like my My experience with late

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Speaker 1: night eating in New York is an adventure of going

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Speaker 1: to just like different bodegas and you know, hazy chop

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Speaker 1: cheese and like weird sandwiches, and every l a experiences

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Speaker 1: Jack in the Box or some other like drive through window.

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Speaker 1: And I had actually convinced myself that I thought Jack

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Speaker 1: in the Box was good food until I tried it

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Speaker 1: sober and I was like, okay, all right, this is

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Speaker 1: actually a pretty smart business strategy. I will say that

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Speaker 1: Jack in the Box does do it for me in

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Speaker 1: a way I do. I do like that they you

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Speaker 1: can't really pin down where what their ankle is in

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Speaker 1: terms of food. You're just like the tacos, but there's fries.

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Speaker 1: But there's fish. It's just like it's all over the place.

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Speaker 1: I love it. But as somebody who doesn't own a car,

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Speaker 1: they're there, Um, they're like what are they called little

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Speaker 1: the place where you have to walk in that closes

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Speaker 1: early too, yeah, so you need to go through the

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Speaker 1: drive through. So then I'm like there's no winning, you know.

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Speaker 1: Yeah yeah, And that's why the city is ultimately hostile

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Speaker 1: people who do not have cars, Like, oh my fucker,

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Speaker 1: you can't even eat. Jack in the Box is not

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Speaker 1: you know, Jack in the box, well a cabin. Well,

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Speaker 1: I mean ship, dude, ship pops off at Jack in

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Speaker 1: the Boxes in l A like on Friday nights. Like

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Speaker 1: every Jack in the Box in l A. I feel

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Speaker 1: like has like just wild security because it is like

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Speaker 1: kind of like the Late Night Spot. Everybody's kind of

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Speaker 1: fucked up. Like the ship goes down with the check

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Speaker 1: your bags right right, just to go through the what

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Speaker 1: you need to look inside my trunk so I can

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Speaker 1: go through this jacket box. They take out your laptop,

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Speaker 1: my man, take out your laptop. What I just want

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Speaker 1: to ultimate breakfast sandwich? Yeah, man, ang your shoes, come on, man,

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Speaker 1: we don't have time. Also, just you know, the Taco

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Speaker 1: Bell does now offer breakfast, and it's starting to show

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Speaker 1: up in my Twitter feed quite a bit. So just

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Speaker 1: in case you're looking, in case you're, you know, really

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Speaker 1: at a loss for what to eat in the morning,

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Speaker 1: Taco bells making a play for that's that's something that

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Speaker 1: it's showing up in your feed. Yeah, no, it's a problem,

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Speaker 1: they're like, yeah. That's usually how I realized I'm pressed

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Speaker 1: is when Taco Bell was like, all right, it's time

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Speaker 1: turned on the feet Twitter. All right, let's take a

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Speaker 1: quick break and we'll be right back. And we're back.

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Speaker 1: And a couple of piece of evidence hitting the media

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Speaker 1: that suggests what I think most of us assumed all along,

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Speaker 1: which is that Trump knew he lost the election from

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Speaker 1: before the election. You know that it was actually closer

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Speaker 1: than the media thought, and apparently was closer than he

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Speaker 1: thought it was going to be, and they had the

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Speaker 1: plan to claim that the election was stolen, and you know, YadA, YadA, YadA,

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Speaker 1: he gets to stay president. And within that, YadA, YadA YadA.

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Speaker 1: You there has to be some January six type event, right,

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Speaker 1: you don't just get to, you know, imagine your way

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Speaker 1: into remaining president. So yeah, the past few days, I've

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Speaker 1: just repeatedly been reminded of that Michael Chay as Lester

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Speaker 1: Holt sketch where he's just like I think. I think

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Speaker 1: at the time, it was actually Trump admitting he fired

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Speaker 1: Comy because the Russia investigation, and I was like, wait,

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Speaker 1: so I did I get him? Is this all over?

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Speaker 1: And then he like gets a thing in his earpiece

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Speaker 1: and he's like, no, I didn't. Nothing matters, Absolutely nothing matters,

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Speaker 1: and and that yeah, So, I mean we've come a

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Speaker 1: long way since thinking that him admitting that he fired

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Speaker 1: James Comby because he was investigating Russia seemed like a

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Speaker 1: gotcha moment, Like now it's just smoking guns raining out

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Speaker 1: of the sky, and like you need to take shelter

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Speaker 1: from all the smoking guns because it's just, yeah, we

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Speaker 1: like it's not even a question of like whether he

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Speaker 1: did something wrong. It's like, what whether he knowingly did

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00:23:00,119 --> 00:23:03,480
Speaker 1: something wrong and had like premeditated it, and we'll be

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00:23:03,520 --> 00:23:05,520
Speaker 1: able to prove it in a court of law. So

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Speaker 1: he's not allowed to run for president again. And it

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00:23:08,440 --> 00:23:12,199
Speaker 1: seems like maybe it's so that January six Committee just

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Speaker 1: played footage of Steve Bannon saying he's going to declare victory.

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Speaker 1: But that doesn't mean he's a winner. He's just gonna

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Speaker 1: say he's a winner, which is a pretty accurate description

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Speaker 1: of what Trump did. But that audio was from Halloween

387
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Speaker 1: night before the election, so like four nights before the

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Speaker 1: election happened, wasn't there also talked that he was trying

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Speaker 1: to declare victory before the election even happened. I'm not

390
00:23:38,320 --> 00:23:41,159
Speaker 1: sure like the so that there was all kinds of

391
00:23:41,200 --> 00:23:43,399
Speaker 1: hair brained ideas that he was throwing out there. I

392
00:23:43,440 --> 00:23:45,440
Speaker 1: think in pursuit of this, like basically, I don't know

393
00:23:45,480 --> 00:23:47,320
Speaker 1: if I'm gonna do. This is gonna be l city

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00:23:47,400 --> 00:23:49,680
Speaker 1: or something where one of them was like just to

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Speaker 1: preemptively be like na one and they're like, that's like,

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00:23:53,119 --> 00:23:57,119
Speaker 1: so that's not how That's not how any of it works, right, Okay,

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Speaker 1: there's there's also Roger Stone told up supporters on November

398
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Speaker 1: one that the election would likely remain too close to

399
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Speaker 1: call an election night. The key thing to do is

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Speaker 1: to claim victory. Possession is nine tenths of the law.

401
00:24:10,160 --> 00:24:15,000
Speaker 1: Which have you seen that clip of Stone saying that no, rogers, dude,

402
00:24:15,160 --> 00:24:18,280
Speaker 1: he's a full lot, dude. I gotta find this he's

403
00:24:18,600 --> 00:24:23,080
Speaker 1: fucking off his ship like so violent. He's like, fuck you,

404
00:24:23,200 --> 00:24:25,880
Speaker 1: we want hold on, I gotta hold on. I'm gonna

405
00:24:25,880 --> 00:24:28,440
Speaker 1: find this clip because it's really something. That's the one

406
00:24:28,480 --> 00:24:31,760
Speaker 1: on November feet because that that this one is before

407
00:24:31,840 --> 00:24:34,919
Speaker 1: the election happened. Yeah, there's one where he's talking to

408
00:24:34,960 --> 00:24:37,800
Speaker 1: like these dudes and like outside of his car about

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Speaker 1: the nine tenths of the law thing, and he like

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Speaker 1: he goes on to say, like it's nine tenths, like

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00:24:42,920 --> 00:24:44,919
Speaker 1: you know, possession is nine tenths of the law. We

412
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Speaker 1: want to fuck you try and do something about it.

413
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Speaker 1: We'll fucking fight you kind of a thing, and they

414
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Speaker 1: kind of just sort of clip out the whole. I'm

415
00:24:51,560 --> 00:24:53,520
Speaker 1: gonna find it, like okay, here we go. Now we

416
00:24:53,520 --> 00:24:59,000
Speaker 1: can hear it. So this November I suspect it of me.

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00:24:59,359 --> 00:25:01,040
Speaker 1: I really just to aspected it will still be up

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Speaker 1: in the air when that happens. The key thing to

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00:25:03,800 --> 00:25:07,159
Speaker 1: do is to claim victory. Possession is nine tenths of law. No,

420
00:25:07,280 --> 00:25:12,320
Speaker 1: we want to sorry, you're wrong. Like that's that was

421
00:25:12,440 --> 00:25:15,080
Speaker 1: him like rallying him up, like and that's the talking

422
00:25:15,119 --> 00:25:17,200
Speaker 1: to these people who are you know, basically like they're

423
00:25:17,280 --> 00:25:19,919
Speaker 1: far right goons on the ground to just sort of

424
00:25:19,920 --> 00:25:22,520
Speaker 1: see this idea of like just fucking run with this

425
00:25:23,080 --> 00:25:24,840
Speaker 1: and don't worry about what the funk they say, like

426
00:25:24,880 --> 00:25:26,639
Speaker 1: this is like and I think just saying like doesn't

427
00:25:26,680 --> 00:25:28,679
Speaker 1: matter if we won or lost, because at the end

428
00:25:28,680 --> 00:25:30,960
Speaker 1: of the day, we're not fucking leaving, so fuck you.

429
00:25:31,320 --> 00:25:35,480
Speaker 1: There were emails flying around from advisors like October thirty one, again,

430
00:25:35,640 --> 00:25:37,959
Speaker 1: we had an election day today, and I won, is

431
00:25:38,080 --> 00:25:42,200
Speaker 1: his suggested remarks, even though they're like anticipating losing or

432
00:25:42,359 --> 00:25:45,840
Speaker 1: being too close to call. Greg Jacob, who was Vice

433
00:25:45,880 --> 00:25:50,720
Speaker 1: President Pence's counsel, learned days before election day from Pence's

434
00:25:50,760 --> 00:25:53,960
Speaker 1: chief of staff Mark Short that Trump planned to prematurely

435
00:25:54,000 --> 00:25:57,000
Speaker 1: announced that he had won. So it's like everybody knew this.

436
00:25:57,400 --> 00:26:01,000
Speaker 1: Robert Costa tweeted Thursday he had seen text from that

437
00:26:01,119 --> 00:26:04,359
Speaker 1: night from some aids indicating they realized declaring victory was

438
00:26:04,400 --> 00:26:08,800
Speaker 1: Trump's plan, and that White House lawyers were alarmed, but

439
00:26:08,920 --> 00:26:11,920
Speaker 1: presumably not alarmed enough to do ship. Speaking of not

440
00:26:12,160 --> 00:26:15,280
Speaker 1: less enough to do ships, secret Service apparently knew about

441
00:26:15,359 --> 00:26:18,760
Speaker 1: January six then that they were going to try and

442
00:26:18,800 --> 00:26:22,600
Speaker 1: assassinate Mike Pence. On January six, like ahead of the

443
00:26:22,640 --> 00:26:30,000
Speaker 1: event that that's another thing that is being indicated by Yeah,

444
00:26:30,280 --> 00:26:32,159
Speaker 1: I think you know, like in that line of like

445
00:26:32,200 --> 00:26:34,720
Speaker 1: White House lawyers were alarmed, Like no they weren't, but

446
00:26:34,760 --> 00:26:37,880
Speaker 1: thank you for adding that into your journalism to try

447
00:26:37,920 --> 00:26:40,760
Speaker 1: and like give them some cover, like if they would

448
00:26:40,760 --> 00:26:43,439
Speaker 1: have seen much more massive fall up. But either way,

449
00:26:43,640 --> 00:26:46,800
Speaker 1: I mean the as the trial, as we've seen from

450
00:26:46,800 --> 00:26:49,359
Speaker 1: the trial, and then even Trump's response to them, you know,

451
00:26:49,400 --> 00:26:51,280
Speaker 1: being like, what I think we need to subpoena him.

452
00:26:51,920 --> 00:26:55,560
Speaker 1: It's it was, it's everything has been clear from the

453
00:26:55,600 --> 00:26:58,760
Speaker 1: second he was even questioning the like like voter fraud

454
00:26:58,800 --> 00:27:03,360
Speaker 1: in the summer, And I don't, like, I understand they've

455
00:27:03,359 --> 00:27:06,080
Speaker 1: done their work. We've done like we've we've reached night

456
00:27:06,640 --> 00:27:09,760
Speaker 1: nine of Couchella at this point, we've closed it out.

457
00:27:10,280 --> 00:27:14,840
Speaker 1: But I'm just like, where the funk is this going?

458
00:27:15,119 --> 00:27:17,879
Speaker 1: That's it? Are you actually going to reform the laws

459
00:27:18,280 --> 00:27:21,439
Speaker 1: to like protect something like this from happening again, to

460
00:27:21,520 --> 00:27:24,280
Speaker 1: like have more rigid legal structures that someone can't just

461
00:27:24,320 --> 00:27:26,240
Speaker 1: be like fuck you, it's nine tenths of the law.

462
00:27:27,640 --> 00:27:29,280
Speaker 1: Or is it just gonna be a thing where it's

463
00:27:29,280 --> 00:27:30,840
Speaker 1: like I don't know we tried, y'all, And now the

464
00:27:30,920 --> 00:27:34,040
Speaker 1: Republicans have taken over the House and all they're going

465
00:27:34,080 --> 00:27:36,560
Speaker 1: to do is start all kinds of committees and ship

466
00:27:36,720 --> 00:27:40,560
Speaker 1: just to flood the zone with bogus like investigations to

467
00:27:40,640 --> 00:27:43,440
Speaker 1: just prop Trump up. Like that seems like what the

468
00:27:43,760 --> 00:27:47,919
Speaker 1: plan is now. And I don't see anything in the

469
00:27:48,000 --> 00:27:50,960
Speaker 1: playbook that suggests that's not gonna work, Like I don't

470
00:27:50,960 --> 00:27:54,000
Speaker 1: know what the January six Committee is going to do

471
00:27:54,119 --> 00:27:57,199
Speaker 1: that would suggest that that's going to work. Like I

472
00:27:57,240 --> 00:28:00,800
Speaker 1: still think there is this part of their brain that

473
00:28:00,920 --> 00:28:04,480
Speaker 1: is still stuck in like you know, mainstream Democrat thinking

474
00:28:05,200 --> 00:28:07,280
Speaker 1: where they were the ones who tried to help Trump

475
00:28:07,520 --> 00:28:10,440
Speaker 1: win the Republican primary because I thought he was gonna

476
00:28:10,440 --> 00:28:12,840
Speaker 1: be easy to be Like I still think they're like, well,

477
00:28:13,320 --> 00:28:15,680
Speaker 1: you know, if Trump is the nominee, that wouldn't be

478
00:28:15,720 --> 00:28:18,240
Speaker 1: all bad for us, because he's going to be like

479
00:28:18,320 --> 00:28:23,119
Speaker 1: convicted of all these things, are like easily convictable in

480
00:28:23,200 --> 00:28:26,360
Speaker 1: the court of public opinion. And it's like, you don't

481
00:28:26,359 --> 00:28:31,359
Speaker 1: you don't understand how little of the ship people give

482
00:28:31,480 --> 00:28:34,640
Speaker 1: about that who who are inclined to support him, and

483
00:28:35,160 --> 00:28:39,080
Speaker 1: like it's just we're still in the position where you know,

484
00:28:39,800 --> 00:28:44,160
Speaker 1: Republicans aren't going to do ship to stop this, and

485
00:28:45,600 --> 00:28:50,800
Speaker 1: you know, the like the only alternative to the mainstream

486
00:28:51,120 --> 00:28:54,640
Speaker 1: like we'll let the market handle it. Corporations are the

487
00:28:54,640 --> 00:28:58,800
Speaker 1: ones actually making the decisions. Option that we've been running

488
00:28:58,800 --> 00:29:03,400
Speaker 1: with for the past. You know, however many decades. Is

489
00:29:03,640 --> 00:29:08,480
Speaker 1: fascism like that they're they're going to run that, And

490
00:29:08,840 --> 00:29:12,120
Speaker 1: I don't know, it's still it's very scary. It's it's

491
00:29:12,880 --> 00:29:17,160
Speaker 1: pretty dark times. I guess. I think it's pretty cool.

492
00:29:17,640 --> 00:29:20,120
Speaker 1: I think maybe we'll see the maybe we'll see the

493
00:29:20,200 --> 00:29:23,880
Speaker 1: end of this fucked up experiment in this country. But ah, yeah,

494
00:29:23,920 --> 00:29:27,160
Speaker 1: it's you know where we continue to just like look

495
00:29:27,200 --> 00:29:30,080
Speaker 1: at these like existential threats like directly in the eye.

496
00:29:30,080 --> 00:29:32,920
Speaker 1: And I'm just kind of like feeling like that Lester

497
00:29:32,960 --> 00:29:37,800
Speaker 1: whole thing, like all right, so what we uh got it?

498
00:29:37,960 --> 00:29:40,160
Speaker 1: And I think I think the most Republicans would do

499
00:29:40,480 --> 00:29:44,800
Speaker 1: is just not be so forceful in defending him. And

500
00:29:44,840 --> 00:29:47,360
Speaker 1: I think they if if they are going to, let

501
00:29:48,000 --> 00:29:50,560
Speaker 1: you know, try and purge him, it's gonna be very passive,

502
00:29:51,040 --> 00:29:53,800
Speaker 1: and it'll be in the hopes that he's just sucked

503
00:29:53,880 --> 00:29:57,360
Speaker 1: himself over legally to the point that they're like, yeah,

504
00:29:57,360 --> 00:29:58,920
Speaker 1: like we're not going to come to your aid, but

505
00:29:58,960 --> 00:30:00,720
Speaker 1: we're not gonna we're not gonna a raw raw the

506
00:30:00,840 --> 00:30:03,640
Speaker 1: left either or just let that happen, like, you know,

507
00:30:03,720 --> 00:30:07,800
Speaker 1: because luckily the Supreme Court like rejected hearing, you know,

508
00:30:08,160 --> 00:30:10,920
Speaker 1: his attempt to overturn that decision in the documents case.

509
00:30:11,440 --> 00:30:15,280
Speaker 1: So the special Minister, the special Minister gambit. Yeah, and

510
00:30:15,320 --> 00:30:17,920
Speaker 1: also like what they say doesn't really matter because again

511
00:30:17,960 --> 00:30:22,720
Speaker 1: there's no energy behind mainstream Democrats or mainstream Republicans. The

512
00:30:22,880 --> 00:30:26,840
Speaker 1: energy is behind Trump. So I don't know, it's and

513
00:30:26,880 --> 00:30:28,760
Speaker 1: it's also I mean it ties to this next story

514
00:30:28,800 --> 00:30:32,080
Speaker 1: about Fetterman vas and like some of the like the

515
00:30:32,160 --> 00:30:35,360
Speaker 1: knives coming up for John Fetterman. This is somebody who's

516
00:30:35,880 --> 00:30:41,080
Speaker 1: you know, outside of the mainstream and got some actual energy. Yeah,

517
00:30:41,080 --> 00:30:43,200
Speaker 1: like ish, I mean, I'm not going to paint him

518
00:30:43,200 --> 00:30:46,040
Speaker 1: as like some far foot half of he has half

519
00:30:46,040 --> 00:30:49,360
Speaker 1: a foot outside of the main stream, Right, It's enough

520
00:30:49,440 --> 00:30:54,320
Speaker 1: to have gotten energy and gotten people excited supporting him,

521
00:30:54,440 --> 00:30:56,320
Speaker 1: and it just feels like they don't they don't have

522
00:30:56,360 --> 00:30:59,680
Speaker 1: the appetite to protect him or like do the things

523
00:30:59,680 --> 00:31:02,760
Speaker 1: they likely due to get people elected. Right, Yeah, I

524
00:31:02,800 --> 00:31:08,160
Speaker 1: mean well, right now, like obviously, you know, the polling

525
00:31:08,200 --> 00:31:11,000
Speaker 1: has had John Fetterman in the lead because people are like, yeah, okay,

526
00:31:11,000 --> 00:31:13,600
Speaker 1: clearly as a binary people are like, I like Fetterman

527
00:31:13,680 --> 00:31:17,360
Speaker 1: over this Hollywood goon. But his lead has been shrinking.

528
00:31:17,400 --> 00:31:19,120
Speaker 1: We've been talking about that thanks to like you know,

529
00:31:19,240 --> 00:31:23,400
Speaker 1: fearmongering around crime and you know, having journalists like equivocate

530
00:31:23,480 --> 00:31:26,440
Speaker 1: recovering from a stroke to like being a sociopath that

531
00:31:26,480 --> 00:31:29,320
Speaker 1: may not deserve to be in office or like incapable

532
00:31:29,360 --> 00:31:33,080
Speaker 1: of holding office, And a lot of observers of the

533
00:31:33,240 --> 00:31:35,880
Speaker 1: of the Senate race have said, like, look, it's clear

534
00:31:36,000 --> 00:31:38,920
Speaker 1: right now that oz Is tactic is shifting to try

535
00:31:38,920 --> 00:31:41,440
Speaker 1: and suppress the black volte like bringing up like this,

536
00:31:41,600 --> 00:31:44,040
Speaker 1: you know, when Fetterman pulled like a shotgun on a

537
00:31:44,080 --> 00:31:46,400
Speaker 1: black jogger because he thought like, oh, this might be

538
00:31:46,440 --> 00:31:48,840
Speaker 1: someone involved in this like other crime, and a lot

539
00:31:48,880 --> 00:31:52,600
Speaker 1: of people like, look, okay Fetterman, like that's not the

540
00:31:52,600 --> 00:31:54,120
Speaker 1: best look for you, homie, But he said, look, I

541
00:31:54,160 --> 00:31:56,640
Speaker 1: was a mistake. Blah blah blah. It seems that the

542
00:31:56,640 --> 00:31:58,480
Speaker 1: people who were supporting him had moved past it. But

543
00:31:59,160 --> 00:32:01,840
Speaker 1: like a few groups have been dumping millions of dollars

544
00:32:01,840 --> 00:32:05,480
Speaker 1: into like amplifying that or you know, this just the

545
00:32:05,720 --> 00:32:10,320
Speaker 1: general optics around OZ being a more uh like I'm

546
00:32:10,400 --> 00:32:13,400
Speaker 1: I'm down with the black community type energy. And it's

547
00:32:13,560 --> 00:32:16,480
Speaker 1: it's interesting because half of it isn't necessarily that Oz

548
00:32:16,520 --> 00:32:19,240
Speaker 1: is trying to court the black vote. He's also just

549
00:32:19,280 --> 00:32:21,840
Speaker 1: trying to suppress the black vote because it wants to

550
00:32:21,880 --> 00:32:24,040
Speaker 1: not turn out for feederment. Because in if if you

551
00:32:24,080 --> 00:32:27,200
Speaker 1: look at exit polls from you know, black people made

552
00:32:27,280 --> 00:32:30,040
Speaker 1: up around eleven percent of the electorate. Joe Biden got

553
00:32:30,120 --> 00:32:33,480
Speaker 1: nine percent of that vote. Donald Trump got seven percent

554
00:32:33,480 --> 00:32:35,240
Speaker 1: of that. So I think, you know, if you're playing

555
00:32:35,280 --> 00:32:38,440
Speaker 1: the strict numbers game of your you know plus one

556
00:32:38,480 --> 00:32:40,320
Speaker 1: math that all the people in the campaigns are doing,

557
00:32:40,360 --> 00:32:42,560
Speaker 1: you have to find those margins to try and shave

558
00:32:42,600 --> 00:32:46,880
Speaker 1: off to eke out your win. So last month in September,

559
00:32:47,840 --> 00:32:50,800
Speaker 1: Oz went like all in on showing the black community

560
00:32:50,880 --> 00:32:53,680
Speaker 1: he understands the plight. And he had an event in

561
00:32:53,720 --> 00:32:57,520
Speaker 1: Philly where this this black woman comes up and they

562
00:32:57,720 --> 00:33:00,000
Speaker 1: they were saying he was holding like a safer Street

563
00:33:00,280 --> 00:33:03,800
Speaker 1: type meeting to talk about gun violence in the city

564
00:33:04,040 --> 00:33:06,440
Speaker 1: and this black woman, you know, she's holding a poster

565
00:33:06,560 --> 00:33:08,479
Speaker 1: of some of her family members who had to come

566
00:33:08,520 --> 00:33:10,440
Speaker 1: to gun violence. And I'll just play this for you

567
00:33:10,480 --> 00:33:12,720
Speaker 1: because this was like a moment where like the local

568
00:33:12,720 --> 00:33:14,800
Speaker 1: news covered it as like just sort of like a

569
00:33:15,120 --> 00:33:17,920
Speaker 1: like this campaign event that doctor Oz was throwing what

570
00:33:18,040 --> 00:33:22,240
Speaker 1: his campaign called a Safer Streets community discussion, where Armstrong

571
00:33:22,320 --> 00:33:24,800
Speaker 1: shared the story of losing both her brother who was

572
00:33:24,840 --> 00:33:27,920
Speaker 1: shot on his porch, and a nephew. My nephew at

573
00:33:27,920 --> 00:33:30,440
Speaker 1: the time of his murder was only fourteen years old.

574
00:33:30,720 --> 00:33:35,640
Speaker 1: I'm honestly angry and fed up with the system. I'm

575
00:33:35,680 --> 00:33:39,000
Speaker 1: fed up with the system that is playing playing politics

576
00:33:39,920 --> 00:33:43,520
Speaker 1: with the lives of us that live in these communities.

577
00:33:44,080 --> 00:33:46,200
Speaker 1: So doctor Oz in that thing, he's like looking at her.

578
00:33:46,280 --> 00:33:49,320
Speaker 1: He's like, oh wow wow. Like there's a photo that

579
00:33:49,360 --> 00:33:51,840
Speaker 1: like the newspaper ran where she's in tears and he's

580
00:33:51,880 --> 00:33:55,680
Speaker 1: like consoling her. The AP wrote this as this is

581
00:33:55,680 --> 00:33:58,800
Speaker 1: what the reporting. As Sheila Armstrong grew emotional and recounting

582
00:33:58,800 --> 00:34:00,760
Speaker 1: how her brother and nephew were killed in Philadelphia, Dr

583
00:34:00,840 --> 00:34:03,600
Speaker 1: Memiaz sitting next to her inside a black church. Their

584
00:34:03,640 --> 00:34:06,280
Speaker 1: chairs are arranged a bit like his former daytime TV

585
00:34:06,360 --> 00:34:09,439
Speaker 1: show set, placed a comforting hand on her shoulder. Later

586
00:34:09,480 --> 00:34:11,960
Speaker 1: he gave her a hug and said, how do you cope?

587
00:34:12,560 --> 00:34:14,920
Speaker 1: And they just ran with that. Okay. The problem with

588
00:34:14,960 --> 00:34:17,960
Speaker 1: all of this is that this woman, Sheila Jackson, is

589
00:34:18,000 --> 00:34:22,600
Speaker 1: a paid staffer for dr OZ, Like she's not someone

590
00:34:22,680 --> 00:34:26,480
Speaker 1: from the community. She works on the campaign. She was

591
00:34:26,520 --> 00:34:30,080
Speaker 1: sharing picks on her Instagram of her new ODZ campaign

592
00:34:30,120 --> 00:34:33,799
Speaker 1: business cards about how she's like organizing like the Philadelphia

593
00:34:33,840 --> 00:34:37,319
Speaker 1: County like organizer type thing. And if you look at

594
00:34:37,360 --> 00:34:41,640
Speaker 1: the FEC filings the Federal Election Commission, she's receiving payroll

595
00:34:41,719 --> 00:34:45,360
Speaker 1: payments like she's not. She's like they got receipts like

596
00:34:45,440 --> 00:34:48,719
Speaker 1: you are. You are being funded by dr OZ. And

597
00:34:48,800 --> 00:34:50,399
Speaker 1: this is just so funked up because I'm not sure

598
00:34:50,440 --> 00:34:53,000
Speaker 1: what her motives are, but OZ definitely knows what the

599
00:34:53,040 --> 00:34:55,880
Speaker 1: funk he's doing here because he is using like black

600
00:34:55,920 --> 00:34:58,319
Speaker 1: bodies as props to like make himself seem like he

601
00:34:58,320 --> 00:35:00,640
Speaker 1: gives a funk about the community. And we see this

602
00:35:00,680 --> 00:35:03,719
Speaker 1: all the time with politicians like I still haven't forgotten

603
00:35:04,040 --> 00:35:08,880
Speaker 1: Kente Cloth Fest at the Capitol Rotunda with the Democrats,

604
00:35:08,920 --> 00:35:11,120
Speaker 1: like I'm still having like this is just it's just

605
00:35:11,160 --> 00:35:14,520
Speaker 1: his virtue signaling without any action, and the wild shit

606
00:35:14,719 --> 00:35:18,720
Speaker 1: is for all the doctor oz, Oh my god, honey,

607
00:35:18,760 --> 00:35:21,520
Speaker 1: how do you cope with the gun violence? Listen to

608
00:35:21,560 --> 00:35:25,360
Speaker 1: his answer when like the local reporters again are asking,

609
00:35:25,400 --> 00:35:28,160
Speaker 1: They're like, hey, man, can we ask you about like

610
00:35:28,239 --> 00:35:32,239
Speaker 1: what your plan is with I don't know, fucking gun control.

611
00:35:32,400 --> 00:35:34,799
Speaker 1: Something not in the plan he put out today. One

612
00:35:34,800 --> 00:35:38,200
Speaker 1: thing that that your plan does not talk about is guns?

613
00:35:38,640 --> 00:35:41,319
Speaker 1: Gun violence. What can voters expect from you on that?

614
00:35:41,360 --> 00:35:45,400
Speaker 1: Would you oppose any additional gun restrictions? He was just

615
00:35:45,600 --> 00:35:49,400
Speaker 1: in this church talking with this woman talking about, oh,

616
00:35:49,480 --> 00:35:52,080
Speaker 1: the plight of gun violence, right, like using that for

617
00:35:52,120 --> 00:35:54,399
Speaker 1: emotional points, and then they just asked, okay, so what's

618
00:35:54,440 --> 00:35:57,719
Speaker 1: your platform. We have a new gun law and I'd

619
00:35:57,760 --> 00:36:00,080
Speaker 1: like to see what happens with it. I'm happy that

620
00:36:00,200 --> 00:36:02,239
Speaker 1: we have a lot of money for mental health in there.

621
00:36:03,280 --> 00:36:07,399
Speaker 1: Big problem for violence way beyond guns, I'm gonna tell

622
00:36:07,400 --> 00:36:10,799
Speaker 1: you most of them. I'm sorry. What that's a big

623
00:36:10,800 --> 00:36:15,600
Speaker 1: problem for violence way beyond guns. That's his fucking plan,

624
00:36:16,000 --> 00:36:18,160
Speaker 1: you know what I mean? Like this is it's just

625
00:36:18,200 --> 00:36:22,239
Speaker 1: like so disingenuous on its face that you're gonna then

626
00:36:22,360 --> 00:36:26,640
Speaker 1: use this woman's like legitimate loss of family to then

627
00:36:26,719 --> 00:36:28,480
Speaker 1: go out there and be like, I don't know gun control.

628
00:36:28,480 --> 00:36:29,839
Speaker 1: I don't know, man. I just said that just so

629
00:36:29,960 --> 00:36:34,000
Speaker 1: like I could, you know, embrace like just crying gun control. Yeah,

630
00:36:34,000 --> 00:36:36,640
Speaker 1: I don't give a funk man, Like let it rock. Yeah.

631
00:36:36,920 --> 00:36:39,080
Speaker 1: I feel like you should have, Like if he's gonna go,

632
00:36:39,280 --> 00:36:40,839
Speaker 1: I think he's gonna go as far as to like

633
00:36:41,320 --> 00:36:44,680
Speaker 1: have like somebody on his payroll to like tell their story.

634
00:36:44,800 --> 00:36:48,040
Speaker 1: Like I'm like, you should have just like gotten a

635
00:36:48,680 --> 00:36:52,279
Speaker 1: paid like an interviewer, you know, to ask you those

636
00:36:52,320 --> 00:36:57,240
Speaker 1: questions after be like just like throw softballs at you, right, yeah,

637
00:36:57,440 --> 00:37:01,759
Speaker 1: go full stalin. You know you're gonna right paint this

638
00:37:01,880 --> 00:37:05,960
Speaker 1: like alternative reality. I mean, you know a lot of

639
00:37:06,000 --> 00:37:09,240
Speaker 1: people were noticing too. Like even at that church event,

640
00:37:09,440 --> 00:37:12,360
Speaker 1: there was this one state like local representative. It was

641
00:37:12,440 --> 00:37:14,560
Speaker 1: like he was like that event was happening in his

642
00:37:14,680 --> 00:37:17,640
Speaker 1: district as a state legislator, and he wasn't invited, so

643
00:37:17,680 --> 00:37:19,399
Speaker 1: he had to like force his way in to see

644
00:37:19,400 --> 00:37:20,640
Speaker 1: what was going on. I was like, oh, y'all are

645
00:37:20,800 --> 00:37:23,680
Speaker 1: my community like what's going on here? And he showed

646
00:37:24,040 --> 00:37:27,280
Speaker 1: there were there were more journalists there than people participating

647
00:37:27,320 --> 00:37:29,080
Speaker 1: in this event. You know what I mean, Like and

648
00:37:29,200 --> 00:37:31,360
Speaker 1: the media didn't cover that, like they were just showing

649
00:37:31,480 --> 00:37:34,000
Speaker 1: that side of it. This guy was showing the reverse

650
00:37:34,160 --> 00:37:35,920
Speaker 1: view of like the people that were like on this

651
00:37:36,000 --> 00:37:40,160
Speaker 1: quote unquote panel looking back there maybe three people suceeded,

652
00:37:40,600 --> 00:37:42,520
Speaker 1: and a lot of people noticed that some of the

653
00:37:42,560 --> 00:37:44,880
Speaker 1: other people of color that have been involved in these events,

654
00:37:44,960 --> 00:37:47,160
Speaker 1: like you've seen like campaign ads and things like that.

655
00:37:47,280 --> 00:37:50,440
Speaker 1: So it's just just like, you know, this very lazy

656
00:37:50,719 --> 00:37:53,759
Speaker 1: way of like astro turfing or pretending you have some

657
00:37:53,960 --> 00:37:57,640
Speaker 1: kind of legitimate alignment with a given community. But it's

658
00:37:57,680 --> 00:38:00,120
Speaker 1: like at this time, like a lot of people are like, hey,

659
00:38:00,160 --> 00:38:02,080
Speaker 1: doctor ows and stuff with that. Haven't heard a comment

660
00:38:02,200 --> 00:38:05,000
Speaker 1: back yet, but it won't matter because you know, the

661
00:38:05,400 --> 00:38:07,239
Speaker 1: hypocrisy doesn't really matter to the right. But it's just

662
00:38:08,320 --> 00:38:11,400
Speaker 1: a stark reminder of how like continue to use like

663
00:38:12,000 --> 00:38:15,719
Speaker 1: people as props, communities as props, like like a much

664
00:38:15,840 --> 00:38:18,440
Speaker 1: larger issue. It can be any given issue that we

665
00:38:18,600 --> 00:38:22,160
Speaker 1: did see all this like disingenuous, like oh man, I'm

666
00:38:22,239 --> 00:38:25,839
Speaker 1: with you, but where are your votes, what legislation are

667
00:38:25,880 --> 00:38:28,320
Speaker 1: you backing, Like who are you taking money from? And

668
00:38:28,440 --> 00:38:31,440
Speaker 1: what are their aims? When it comes to gun violence

669
00:38:31,680 --> 00:38:35,520
Speaker 1: or we got and there's a lot of stuff in

670
00:38:35,600 --> 00:38:40,839
Speaker 1: there about mental mental health and that, Like I asked,

671
00:38:40,880 --> 00:38:45,040
Speaker 1: couldn't what's on your what's on your platform? What can

672
00:38:45,080 --> 00:38:48,600
Speaker 1: people expect from your platform? Doctor? Is not existing legislation?

673
00:38:48,800 --> 00:38:53,000
Speaker 1: I think I read about something with mental and mental illness. Anyways,

674
00:38:53,040 --> 00:38:56,520
Speaker 1: I'm going over to Geno's to prove, prove that I

675
00:38:57,000 --> 00:39:00,760
Speaker 1: have been to Philadelphia, and Pats and be a Geno's

676
00:39:00,800 --> 00:39:04,080
Speaker 1: and Pats holding up today's issue of the newspaper so

677
00:39:04,160 --> 00:39:06,399
Speaker 1: that you can tell that I was in fact here

678
00:39:06,800 --> 00:39:11,560
Speaker 1: on the dates in question. Thank you, further questions, your honor. Hey, hey,

679
00:39:11,800 --> 00:39:14,160
Speaker 1: and I just want to practice my Philadelphia accent with you. Guys.

680
00:39:14,480 --> 00:39:22,239
Speaker 1: Go Eagles, all right, doctor, Yeah, full Federman's already been

681
00:39:22,280 --> 00:39:25,040
Speaker 1: slamming it. He's like, this guy's a Cowboys fan. He

682
00:39:25,120 --> 00:39:29,560
Speaker 1: doesn't support the Eggles, and people were like responding to

683
00:39:29,600 --> 00:39:32,560
Speaker 1: it again, like it's just such a bizarre race trying

684
00:39:32,600 --> 00:39:35,440
Speaker 1: to figure out, you know, at the end, what is

685
00:39:35,520 --> 00:39:39,399
Speaker 1: going to actually win out with message is going to win.

686
00:39:39,520 --> 00:39:43,279
Speaker 1: But you know, if you continue like this sensational shiit

687
00:39:43,400 --> 00:39:48,760
Speaker 1: around people suffering for you know, campaign points right, and again,

688
00:39:48,960 --> 00:39:52,400
Speaker 1: I mean nothing, nothing new but just my god, just

689
00:39:53,000 --> 00:39:59,200
Speaker 1: so so fucking lazy, like people like your campaign staffers. Right,

690
00:40:00,000 --> 00:40:02,239
Speaker 1: I remember when they used to just get people off

691
00:40:02,320 --> 00:40:04,560
Speaker 1: the street and give them money. What happened to that

692
00:40:04,840 --> 00:40:08,799
Speaker 1: day of wrangling fake support for our campaign? The good

693
00:40:08,840 --> 00:40:11,720
Speaker 1: old days, good old days when you just have voting

694
00:40:11,840 --> 00:40:15,440
Speaker 1: parties and get everybody drunk and then to make them

695
00:40:15,520 --> 00:40:18,040
Speaker 1: vote for you. All right, let's take a quick break,

696
00:40:18,160 --> 00:40:32,320
Speaker 1: we'll come back, we'll talk about the police, and we're back.

697
00:40:33,000 --> 00:40:36,120
Speaker 1: And this is kind of constantly happening, like the police

698
00:40:36,160 --> 00:40:38,920
Speaker 1: will funk up spectacularly, and then it kind of slides

699
00:40:38,960 --> 00:40:41,880
Speaker 1: out of the media because I think they have a

700
00:40:42,040 --> 00:40:45,000
Speaker 1: very powerful union and are nicely situated as the only

701
00:40:45,120 --> 00:40:49,719
Speaker 1: source that the mainstream media uses on crime, and and

702
00:40:49,800 --> 00:40:52,480
Speaker 1: the mainstream media loves to write about crime. But there

703
00:40:52,520 --> 00:40:55,880
Speaker 1: are two stories from I think it was September, but

704
00:40:56,160 --> 00:40:58,400
Speaker 1: I didn't want to let them slide because they're just

705
00:40:58,800 --> 00:41:04,400
Speaker 1: such strong examples of how blatant the case against police

706
00:41:04,440 --> 00:41:09,040
Speaker 1: should be for anyone paying attention and not brainwashed by

707
00:41:09,880 --> 00:41:13,040
Speaker 1: the car sorrel system. And like Law and Order and

708
00:41:13,600 --> 00:41:16,480
Speaker 1: eighties action movies where the hero is always a cop.

709
00:41:17,120 --> 00:41:20,279
Speaker 1: But you know what, we have We've had Alec Karack

710
00:41:20,440 --> 00:41:24,600
Speaker 1: Santas on before and he's one of the points that

711
00:41:24,719 --> 00:41:29,080
Speaker 1: he makes a lot is that all the arguments around

712
00:41:29,640 --> 00:41:33,839
Speaker 1: violent crime statistics being affected by policing, first of all,

713
00:41:33,880 --> 00:41:38,480
Speaker 1: they're not there's they're not convincing, they don't suggest the policing.

714
00:41:40,800 --> 00:41:44,440
Speaker 1: And also they ignore the violent crimes in just general

715
00:41:44,760 --> 00:41:49,239
Speaker 1: like second degree funk up re ending in citizens death

716
00:41:49,560 --> 00:41:52,480
Speaker 1: that is caused by the police. And we have very

717
00:41:52,560 --> 00:41:55,239
Speaker 1: little way to track all the people who die from

718
00:41:55,320 --> 00:41:59,360
Speaker 1: police and competence because they were walking or driving on

719
00:41:59,440 --> 00:42:03,680
Speaker 1: the wrong street during a police chase, for instance. And uh,

720
00:42:04,280 --> 00:42:07,040
Speaker 1: it's the rare accidental police killing that the police can't

721
00:42:07,440 --> 00:42:10,640
Speaker 1: use their power of control and monopoly on violence to

722
00:42:10,719 --> 00:42:13,120
Speaker 1: cover up, you know, it literally like has to be

723
00:42:13,320 --> 00:42:17,160
Speaker 1: on body camera that then like people become aware of somehow.

724
00:42:17,760 --> 00:42:22,239
Speaker 1: So there there are two examples that we're hard to

725
00:42:22,360 --> 00:42:26,239
Speaker 1: ignore for the sheer levels of just like buffoonery and

726
00:42:26,920 --> 00:42:29,000
Speaker 1: because the police took a situation that may not have

727
00:42:29,120 --> 00:42:34,160
Speaker 1: been deadly probably wouldn't have been in one case, and

728
00:42:34,280 --> 00:42:38,000
Speaker 1: made it so because yeah, just because it's kind of

729
00:42:38,160 --> 00:42:42,759
Speaker 1: standard operating procedure. So let's start with the one in Colorado,

730
00:42:42,840 --> 00:42:46,560
Speaker 1: the police pulled over your any Rios Gonzales and locked

731
00:42:46,800 --> 00:42:50,680
Speaker 1: her in their police cruiser while they searched her car. Unfortunately,

732
00:42:50,680 --> 00:42:53,480
Speaker 1: when they heard a train horn sound in the distance,

733
00:42:53,600 --> 00:42:56,319
Speaker 1: it didn't jog their memory that they had parked their

734
00:42:56,400 --> 00:43:00,280
Speaker 1: police car on the fucking train tracks, and they didn't

735
00:43:00,320 --> 00:43:05,239
Speaker 1: notice until the train hit their car with Rios Gonzalez

736
00:43:05,360 --> 00:43:08,600
Speaker 1: in it. And as always, the details of the police

737
00:43:08,640 --> 00:43:12,279
Speaker 1: behavior in this moment are not so much heroic as

738
00:43:12,480 --> 00:43:14,160
Speaker 1: you don't pay me enough to give a shit about

739
00:43:14,200 --> 00:43:17,719
Speaker 1: these people vibes. So the officers appeared to take note

740
00:43:17,760 --> 00:43:20,160
Speaker 1: of the This is a direct quote from the like

741
00:43:20,400 --> 00:43:23,359
Speaker 1: local news article on this officers appeared to take note

742
00:43:23,400 --> 00:43:25,360
Speaker 1: of the train only as it came within feet of

743
00:43:25,600 --> 00:43:28,280
Speaker 1: of a police vehicle parked on the tracks with Rios

744
00:43:28,320 --> 00:43:32,040
Speaker 1: Gonzalez handcuffed inside. According to authorities and body camera footage,

745
00:43:32,280 --> 00:43:34,800
Speaker 1: a mail officer standing near the tracks looked at the

746
00:43:34,960 --> 00:43:39,040
Speaker 1: approaching train, grew frantic, the footage shows, and then started screaming,

747
00:43:39,080 --> 00:43:42,960
Speaker 1: stay back, you know. Dashboard camera video shows him walking

748
00:43:43,040 --> 00:43:46,040
Speaker 1: quickly away from the vehicle just before the train plowed

749
00:43:46,080 --> 00:43:50,800
Speaker 1: into it. So Rio's Gonzalez miraculously survived but again it

750
00:43:51,200 --> 00:43:55,279
Speaker 1: highlights that we have the least responsible human beings doing

751
00:43:55,400 --> 00:43:58,120
Speaker 1: the job that should seemingly require the most training and

752
00:43:58,239 --> 00:44:02,080
Speaker 1: responsibility in a society, or failing that, maybe it shouldn't exist.

753
00:44:03,040 --> 00:44:07,960
Speaker 1: Maybe maybe I mean it's the fun Like this is

754
00:44:08,040 --> 00:44:11,160
Speaker 1: like really, just how fucking bad is that? Where you

755
00:44:11,280 --> 00:44:15,680
Speaker 1: don't you're not even aware of the train tracks, Like,

756
00:44:15,840 --> 00:44:18,520
Speaker 1: I mean, I don't know if that's you're either so

757
00:44:18,800 --> 00:44:21,160
Speaker 1: negligent because you were trying to kill this woman with

758
00:44:21,239 --> 00:44:23,080
Speaker 1: the train and then trying to be like, oh, I

759
00:44:23,120 --> 00:44:25,000
Speaker 1: didn't notice, you know what I mean, it's just saying

760
00:44:25,040 --> 00:44:28,840
Speaker 1: like it, let's see what happens, or you want you

761
00:44:28,920 --> 00:44:33,440
Speaker 1: are so out of sorts and unaware that that's that

762
00:44:33,600 --> 00:44:35,880
Speaker 1: you allow that to happen. It's like hard to fucking

763
00:44:36,880 --> 00:44:38,600
Speaker 1: figure out which one they could have been because I

764
00:44:38,640 --> 00:44:41,439
Speaker 1: could also see, I mean, you see really vile ship

765
00:44:41,520 --> 00:44:44,800
Speaker 1: happened if people in police custody to like, I don't know,

766
00:44:45,160 --> 00:44:46,799
Speaker 1: it's just really hard to wrap my head around. It's

767
00:44:46,800 --> 00:44:48,960
Speaker 1: like you can't even sucking you don't even notice train tracks.

768
00:44:49,120 --> 00:44:51,759
Speaker 1: Like my first thought was, oh, maybe they maybe they

769
00:44:51,800 --> 00:44:54,120
Speaker 1: did that on purpose, Like who knows. I feel like

770
00:44:54,239 --> 00:44:56,560
Speaker 1: they I wouldn't be surprised if they were just like

771
00:44:57,040 --> 00:45:00,600
Speaker 1: that happened. They parked. They've literally parked the tracks, just

772
00:45:00,719 --> 00:45:03,800
Speaker 1: like out of straight up incompetency. I think that like

773
00:45:04,480 --> 00:45:08,239
Speaker 1: the standards for like becoming a police officer are getting

774
00:45:08,360 --> 00:45:11,720
Speaker 1: so like lower and lower that it's just like there,

775
00:45:12,560 --> 00:45:17,920
Speaker 1: you know, they'll truly take anybody. And yeah, yeah, I

776
00:45:18,000 --> 00:45:20,880
Speaker 1: feel like I heard on the radio like L A

777
00:45:21,000 --> 00:45:24,000
Speaker 1: p D. Is like they're like doing at like an

778
00:45:24,120 --> 00:45:26,600
Speaker 1: AD to be like we we need Maybe it was

779
00:45:26,640 --> 00:45:28,279
Speaker 1: an AD, maybe it was a new story, but it's

780
00:45:28,320 --> 00:45:31,920
Speaker 1: like they need police officers because like no, I don't know,

781
00:45:32,040 --> 00:45:35,239
Speaker 1: they're just like running low or whatever. But I'm like

782
00:45:36,320 --> 00:45:39,960
Speaker 1: I'm like there, that just means people are applying and

783
00:45:40,600 --> 00:45:42,600
Speaker 1: I don't know, it's like the worst of the worst,

784
00:45:42,680 --> 00:45:45,879
Speaker 1: you know. Yeah, well I think yeah to your point

785
00:45:45,920 --> 00:45:49,120
Speaker 1: though too about like there, I think the third option,

786
00:45:49,440 --> 00:45:52,239
Speaker 1: whether it's I'm so stupid and oblivious I don't know,

787
00:45:52,520 --> 00:45:55,880
Speaker 1: or I'm criminally negligent, is like it's just like this

788
00:45:56,160 --> 00:46:00,279
Speaker 1: cop privilege that these people have, like they probably like, yeah,

789
00:46:00,280 --> 00:46:02,279
Speaker 1: I can park on the fucking train tracks, my fucking

790
00:46:02,360 --> 00:46:05,560
Speaker 1: cram in a cop car. The funks a train gonna

791
00:46:05,640 --> 00:46:08,240
Speaker 1: do hit it, you know, like in their mind, because

792
00:46:08,840 --> 00:46:11,040
Speaker 1: all the time I always see like cops parked in

793
00:46:11,120 --> 00:46:13,279
Speaker 1: the most fucked up ways on the street in l A,

794
00:46:13,400 --> 00:46:15,840
Speaker 1: like where they're not even doing ship Like they're like,

795
00:46:16,239 --> 00:46:18,239
Speaker 1: y'are almost sucking thurn my lights on to get through

796
00:46:18,280 --> 00:46:21,520
Speaker 1: a fucking signal, then them up sucking like double park

797
00:46:21,640 --> 00:46:25,600
Speaker 1: to go into Baja Fresh and you're like, many follow

798
00:46:25,680 --> 00:46:27,160
Speaker 1: the laws for all this other ship that I could

799
00:46:27,160 --> 00:46:29,399
Speaker 1: also see a version where like just the Eric shere

800
00:46:29,520 --> 00:46:32,920
Speaker 1: arrogance too of like yeah, whatever, I'll park wherever the

801
00:46:32,960 --> 00:46:36,000
Speaker 1: funk I want. Oh it was a train track whatever. Yeah,

802
00:46:36,400 --> 00:46:39,000
Speaker 1: I mean we were in the story we did on

803
00:46:39,320 --> 00:46:43,239
Speaker 1: the history of jaywalking, what like the people who were

804
00:46:43,400 --> 00:46:47,279
Speaker 1: studying this, you know, found not only that they were

805
00:46:47,440 --> 00:46:52,960
Speaker 1: using the crime of jaywalking as a way to you know,

806
00:46:53,120 --> 00:46:56,080
Speaker 1: racial profile and just like they only enforced it with

807
00:46:56,600 --> 00:47:00,400
Speaker 1: black and brown people, but also that like the police

808
00:47:00,440 --> 00:47:03,239
Speaker 1: were constantly, like they they caught the police on camera

809
00:47:03,400 --> 00:47:06,600
Speaker 1: just constantly jaywalking, so it was like they were not whole,

810
00:47:06,800 --> 00:47:11,440
Speaker 1: they were not holding themselves to any standard whatsoever. But

811
00:47:12,080 --> 00:47:14,120
Speaker 1: I also just want to just to close the loop

812
00:47:14,200 --> 00:47:17,520
Speaker 1: on that story. Rio's Gonzalez's vehicle was being searched in

813
00:47:17,600 --> 00:47:20,479
Speaker 1: the first place after a report of a road rage

814
00:47:20,520 --> 00:47:24,200
Speaker 1: incident involving a gun. They presumably had the wrong car

815
00:47:24,320 --> 00:47:26,799
Speaker 1: because no gun was found, but it wasn't for lack

816
00:47:26,880 --> 00:47:29,239
Speaker 1: of trying, because the body cam footage from the night

817
00:47:29,320 --> 00:47:33,160
Speaker 1: shows them searching her truck both before and after the

818
00:47:33,280 --> 00:47:36,680
Speaker 1: train hit her. They were like frantically being like it, say,

819
00:47:36,719 --> 00:47:38,160
Speaker 1: it must be here somewhere. It's got to be here

820
00:47:38,200 --> 00:47:42,040
Speaker 1: somewhere because they wanted that. That was their concern, was

821
00:47:42,160 --> 00:47:45,919
Speaker 1: covering their ass for getting her hip, because it's okay

822
00:47:46,000 --> 00:47:47,960
Speaker 1: if a train hit a lady, if she had a

823
00:47:48,040 --> 00:47:50,840
Speaker 1: gun in her car, right, yeah, Like it was the

824
00:47:51,000 --> 00:47:53,120
Speaker 1: logic there. It's like, well, fuck, we have to like,

825
00:47:53,320 --> 00:47:56,560
Speaker 1: you know, typically we can get away with brutalizing people

826
00:47:56,719 --> 00:47:58,640
Speaker 1: if we can say some crime was gonna be like

827
00:47:58,800 --> 00:48:03,560
Speaker 1: she had weed, yeah, so you know train hit her. Yeah,

828
00:48:03,680 --> 00:48:06,360
Speaker 1: but you know she had weed, so that's bad, right, folks, Okay,

829
00:48:06,719 --> 00:48:10,000
Speaker 1: please move along. And then there was a case in

830
00:48:10,080 --> 00:48:14,480
Speaker 1: California around the same time in September where everybody in

831
00:48:14,560 --> 00:48:18,439
Speaker 1: California got an Amber alert where a man had shot

832
00:48:18,480 --> 00:48:23,040
Speaker 1: and killed his wife and kidnapped his teenage daughter, Savannah Graziano,

833
00:48:23,719 --> 00:48:27,400
Speaker 1: and after issuing an amber alert for Savannah, the police

834
00:48:27,640 --> 00:48:31,880
Speaker 1: caught the father with the kidnapped child into in the

835
00:48:31,960 --> 00:48:35,600
Speaker 1: desert heading towards Vegas and just got into a massive

836
00:48:35,640 --> 00:48:39,439
Speaker 1: shootout with him, and despite the fact that the daughter

837
00:48:39,600 --> 00:48:42,839
Speaker 1: was in the car, you know, we're exchanging gunfire. At

838
00:48:42,880 --> 00:48:45,000
Speaker 1: one point she appears to have made a break for

839
00:48:45,160 --> 00:48:47,160
Speaker 1: it and run towards the police, at which point she

840
00:48:47,280 --> 00:48:51,279
Speaker 1: was gunned down by the police, and I suspect I

841
00:48:51,320 --> 00:48:53,160
Speaker 1: can only say I suspect it was the police because

842
00:48:53,160 --> 00:48:56,160
Speaker 1: the details have been very slow and sparse since it happened.

843
00:48:56,280 --> 00:48:59,200
Speaker 1: But at first they said she was in tactical gear

844
00:48:59,360 --> 00:49:02,120
Speaker 1: gear and they have been armed. So the fourteen year

845
00:49:02,160 --> 00:49:06,319
Speaker 1: old girl who was a hostage may have been armed

846
00:49:06,600 --> 00:49:09,400
Speaker 1: and a threat to officers behind a bank of police

847
00:49:09,440 --> 00:49:13,200
Speaker 1: cars and a shootout, and they eventually had to turn

848
00:49:13,280 --> 00:49:16,880
Speaker 1: the incident over to the Justice Department as potentially qualifying

849
00:49:17,040 --> 00:49:20,320
Speaker 1: under a law that requires the Justice Department to investigate

850
00:49:20,440 --> 00:49:24,520
Speaker 1: cases in which the death to the to the unarmed

851
00:49:24,560 --> 00:49:29,720
Speaker 1: civilian is caused by California peace officer. So like that's

852
00:49:29,800 --> 00:49:33,800
Speaker 1: the that is the level that we're dealing with just

853
00:49:34,000 --> 00:49:39,560
Speaker 1: how they're called peace officers. When they find somebody who

854
00:49:39,680 --> 00:49:43,279
Speaker 1: is a kidnapping victim, they just start shooting. They just

855
00:49:43,360 --> 00:49:46,279
Speaker 1: start shooting with a you know, a child in in

856
00:49:46,400 --> 00:49:50,520
Speaker 1: the car and then kill the child when the child

857
00:49:50,600 --> 00:49:53,080
Speaker 1: makes a run for like a break for it. Well,

858
00:49:54,120 --> 00:49:56,080
Speaker 1: I think at the very least, right that, like in

859
00:49:56,160 --> 00:49:59,160
Speaker 1: that example, it just shows that we're the police in

860
00:49:59,239 --> 00:50:02,319
Speaker 1: that form just cranking out a group of people who

861
00:50:02,440 --> 00:50:05,640
Speaker 1: are so trigger happy and have just been trained to

862
00:50:05,760 --> 00:50:09,200
Speaker 1: look at every single person as a threat that there's

863
00:50:09,239 --> 00:50:11,920
Speaker 1: no helping, it's just harm. It's like you're getting near

864
00:50:12,000 --> 00:50:13,239
Speaker 1: a cop and like, what the funk you want? What

865
00:50:13,320 --> 00:50:14,879
Speaker 1: the funk you want? They started like reaching for their

866
00:50:14,880 --> 00:50:20,360
Speaker 1: ship and you're like what directions? Right? Right? You know

867
00:50:20,400 --> 00:50:24,000
Speaker 1: what I mean? And like for all like we constantly here,

868
00:50:25,400 --> 00:50:27,080
Speaker 1: I don't know why it's taking I mean, I know

869
00:50:27,239 --> 00:50:28,880
Speaker 1: we know why. It's so hard to shift the conversation,

870
00:50:28,960 --> 00:50:31,600
Speaker 1: but it's it just seems so logical, right, Like that

871
00:50:31,880 --> 00:50:34,200
Speaker 1: one fact about the amount of money that's spent on

872
00:50:34,320 --> 00:50:37,120
Speaker 1: law enforcement, Yeah, we have these crime rates that the

873
00:50:37,400 --> 00:50:41,160
Speaker 1: the way they are shows that paying funding the police

874
00:50:41,280 --> 00:50:45,239
Speaker 1: has nothing to do with our safety. In fact, it's

875
00:50:45,280 --> 00:50:49,280
Speaker 1: cause the cause of a lot more violent interactions when again,

876
00:50:49,440 --> 00:50:54,640
Speaker 1: all that money is better served being like in social services.

877
00:50:54,960 --> 00:50:56,440
Speaker 1: And there is a new there was a pull that

878
00:50:56,560 --> 00:50:59,440
Speaker 1: came out that I haven't seen really talked about a lot,

879
00:50:59,520 --> 00:51:04,040
Speaker 1: where like they're like something like sixty percent of Republicans

880
00:51:04,680 --> 00:51:08,640
Speaker 1: seventy of like independence and like way more version of

881
00:51:08,800 --> 00:51:12,399
Speaker 1: like uh like liberals, we're saying that police funds should

882
00:51:12,400 --> 00:51:16,800
Speaker 1: actually be diverted towards social services, right, Like a majority

883
00:51:16,920 --> 00:51:20,799
Speaker 1: of Republicans are even saying that what what did they

884
00:51:20,920 --> 00:51:25,560
Speaker 1: think defund the policeman? Like because they treated that like

885
00:51:25,719 --> 00:51:28,839
Speaker 1: it was the worst thing that anyone has ever said.

886
00:51:29,080 --> 00:51:31,919
Speaker 1: But yeah, well, I mean, yeah, we need to start

887
00:51:31,960 --> 00:51:37,480
Speaker 1: making movies that action movies about social service workers kind

888
00:51:37,480 --> 00:51:42,320
Speaker 1: of like Jack's like social service workers that like you know,

889
00:51:42,680 --> 00:51:47,239
Speaker 1: glorified work. Yeah yeah, right, like we we there's like

890
00:51:47,280 --> 00:51:50,040
Speaker 1: a hostage situation, but what you do, well, I don't know,

891
00:51:50,040 --> 00:51:51,440
Speaker 1: if there's a hot you would almost need to be

892
00:51:51,560 --> 00:51:54,600
Speaker 1: like he's saving some person's like life and be like

893
00:51:54,719 --> 00:51:57,440
Speaker 1: hey man, here's you know, here's some here's like a

894
00:51:57,480 --> 00:51:59,600
Speaker 1: place for you to get back on your feet. Yeah,

895
00:51:59,640 --> 00:52:02,000
Speaker 1: all right, here's like a job here's an address you

896
00:52:02,080 --> 00:52:03,799
Speaker 1: can apply so you can get so when you apply

897
00:52:03,920 --> 00:52:05,440
Speaker 1: to a job, you actually have an address and a

898
00:52:05,520 --> 00:52:07,759
Speaker 1: phone number you can put on your application, because that's

899
00:52:07,760 --> 00:52:09,840
Speaker 1: a big hurdle for a lot of unhoused people. And

900
00:52:09,960 --> 00:52:13,399
Speaker 1: then they're like, look what I did, And I said

901
00:52:13,440 --> 00:52:16,560
Speaker 1: this person up for for success and treated them like

902
00:52:16,640 --> 00:52:18,920
Speaker 1: a human and everyone's like, oh ship, and we I

903
00:52:18,960 --> 00:52:21,279
Speaker 1: don't know how we make that sexy, but we had

904
00:52:21,360 --> 00:52:25,920
Speaker 1: the perfect opportunity to make the point that social services

905
00:52:26,239 --> 00:52:29,400
Speaker 1: are the thing that keeps crying down when you know,

906
00:52:29,560 --> 00:52:35,360
Speaker 1: in the like during the pandemic lockdown, you know, cris

907
00:52:35,440 --> 00:52:40,280
Speaker 1: certain crimes did go up, and the actual data suggests

908
00:52:40,360 --> 00:52:43,640
Speaker 1: that they went up because not not because anybody was

909
00:52:43,719 --> 00:52:47,239
Speaker 1: defunded because the police, no police anywhere, we're defunded in

910
00:52:47,320 --> 00:52:51,359
Speaker 1: a way that was significant or impactful. Uh. The thing

911
00:52:51,440 --> 00:52:56,120
Speaker 1: that happened was that social services and programs that used

912
00:52:56,160 --> 00:53:00,360
Speaker 1: to help people stopped because it was a fucking endemic.

913
00:53:00,880 --> 00:53:04,600
Speaker 1: And so like you have this very clear evidence, and

914
00:53:05,120 --> 00:53:08,120
Speaker 1: the media, the the only version that I heard of

915
00:53:08,280 --> 00:53:11,000
Speaker 1: that story was crime one up because they defunded the police,

916
00:53:11,480 --> 00:53:15,320
Speaker 1: and like that protesting the police or suggesting that we

917
00:53:15,400 --> 00:53:19,040
Speaker 1: needed to defund the police was the cause of crime

918
00:53:19,080 --> 00:53:23,120
Speaker 1: going up, and it's like demonstrably not true with statistics,

919
00:53:23,719 --> 00:53:27,040
Speaker 1: and it's like it is the subject that we were

920
00:53:27,120 --> 00:53:32,920
Speaker 1: protesting over and they turned it into basically the like

921
00:53:33,120 --> 00:53:36,960
Speaker 1: a big story about how protesters were the cause of

922
00:53:37,480 --> 00:53:40,680
Speaker 1: murder rates going up. I feel like the easiest way

923
00:53:40,760 --> 00:53:43,520
Speaker 1: to just like, why don't journalists be like a local

924
00:53:43,560 --> 00:53:48,640
Speaker 1: police department lower the crime rate challenge? Right, let's see

925
00:53:48,640 --> 00:53:51,000
Speaker 1: if you can lower that like significantly, right, because y'all

926
00:53:51,000 --> 00:53:53,839
Speaker 1: are out there policing. Yeah, and we're and you're we're

927
00:53:53,880 --> 00:53:59,279
Speaker 1: giving you constant unending trenches, tranches of cashever. You want

928
00:53:59,320 --> 00:54:02,200
Speaker 1: to say that just piles of money, But where are

929
00:54:02,239 --> 00:54:04,800
Speaker 1: the results? And I think that's what's wild, is like

930
00:54:05,040 --> 00:54:07,239
Speaker 1: we're for all the money that's going into it. It's

931
00:54:07,280 --> 00:54:08,759
Speaker 1: like one of the few things are like we're not

932
00:54:08,840 --> 00:54:11,640
Speaker 1: looking at the results and actually like analyzing them, Like

933
00:54:11,719 --> 00:54:13,640
Speaker 1: what the is going on? Because again it's like its

934
00:54:13,680 --> 00:54:17,680
Speaker 1: own industrial complex. But like if you would just give

935
00:54:17,760 --> 00:54:20,960
Speaker 1: them tactical nuclear weapons that like they have been asking

936
00:54:21,040 --> 00:54:23,640
Speaker 1: miles Like that's the thing. It's just we they've been

937
00:54:23,680 --> 00:54:26,840
Speaker 1: asking forever just small nuclear arms, not like just so

938
00:54:26,920 --> 00:54:29,719
Speaker 1: that they can do targeted nuclear strikes and then you

939
00:54:29,760 --> 00:54:31,440
Speaker 1: would start to see a difference. I feel like that's

940
00:54:31,480 --> 00:54:34,960
Speaker 1: what's next, Like bombing like that, Like bombing that neighborhood

941
00:54:34,960 --> 00:54:37,600
Speaker 1: in Philly like in the eighties was right enough, They're like,

942
00:54:37,719 --> 00:54:40,120
Speaker 1: I think we go bigger than that, and yeah, I

943
00:54:40,160 --> 00:54:43,439
Speaker 1: don't know. I mean it's well, eventually, like you see

944
00:54:43,520 --> 00:54:46,320
Speaker 1: more and more people again. This is why, at the

945
00:54:46,440 --> 00:54:48,000
Speaker 1: very least, like you have to be heartened by the

946
00:54:48,080 --> 00:54:50,720
Speaker 1: kinds of people that are getting into local politics, because

947
00:54:51,200 --> 00:54:53,840
Speaker 1: that's the area too. Just when I look around me,

948
00:54:54,000 --> 00:54:56,320
Speaker 1: like my life is affected by the l A. Sheriff's Department,

949
00:54:56,360 --> 00:54:59,200
Speaker 1: in the Los Angeles Police Department. So I'm curious to

950
00:54:59,320 --> 00:55:01,760
Speaker 1: hear from the p that are the elected city officials

951
00:55:02,520 --> 00:55:07,279
Speaker 1: how they see fixing issues like the unhoused community and

952
00:55:07,840 --> 00:55:10,400
Speaker 1: any kind of crime. But but they're always like the

953
00:55:10,560 --> 00:55:14,800
Speaker 1: real the people of good character, uh and are actually

954
00:55:14,840 --> 00:55:17,719
Speaker 1: analytical about these issues. They're all saying the same thing

955
00:55:17,840 --> 00:55:20,759
Speaker 1: is that we just have to support our neighbors. Right,

956
00:55:20,880 --> 00:55:24,359
Speaker 1: that's it. That's it. It's that easy, doesn't We don't

957
00:55:24,400 --> 00:55:27,279
Speaker 1: need fucking you know, more humbies and ship we don't

958
00:55:27,320 --> 00:55:29,800
Speaker 1: need more fucking you know a r S and in

959
00:55:29,840 --> 00:55:32,280
Speaker 1: the hands of police. We just need to support people

960
00:55:32,560 --> 00:55:34,560
Speaker 1: and help them. We need to give people a base

961
00:55:34,640 --> 00:55:39,200
Speaker 1: of foundation of stability to operate from. That's it. That's it. Yeah,

962
00:55:39,320 --> 00:55:41,319
Speaker 1: I did see. I was like walking to the post

963
00:55:41,400 --> 00:55:44,880
Speaker 1: office and for some reason, like an unhoused guy was

964
00:55:44,920 --> 00:55:49,080
Speaker 1: getting arrested, and there were straight up like nine like

965
00:55:49,320 --> 00:55:51,440
Speaker 1: cop cars that like rolled up on this corner. And

966
00:55:51,520 --> 00:55:55,600
Speaker 1: I'm like, this is this is like past like absurdity

967
00:55:55,680 --> 00:55:57,879
Speaker 1: at this point. It's just like nine cop cars that's

968
00:55:57,920 --> 00:56:01,600
Speaker 1: like just for what one person. It's like it's so

969
00:56:01,760 --> 00:56:04,040
Speaker 1: obvious that if you just like funneled that the money

970
00:56:04,120 --> 00:56:06,560
Speaker 1: that it took to like pay those people to like

971
00:56:07,000 --> 00:56:09,719
Speaker 1: you know just like do social service work or something,

972
00:56:09,840 --> 00:56:14,160
Speaker 1: you know, that like this problem would be so much better.

973
00:56:14,360 --> 00:56:18,359
Speaker 1: Like yeah, you know, help help that guy in a way.

974
00:56:18,800 --> 00:56:23,480
Speaker 1: And we've seen where they have a program where calls

975
00:56:23,640 --> 00:56:25,880
Speaker 1: for somebody who is in distress or is having a

976
00:56:25,920 --> 00:56:29,520
Speaker 1: mental health crisis, those calls don't get rooted to the police.

977
00:56:29,560 --> 00:56:34,000
Speaker 1: They get routed to like people with training in situations

978
00:56:34,120 --> 00:56:37,200
Speaker 1: like that and with access to the social service programs.

979
00:56:37,480 --> 00:56:41,640
Speaker 1: And it works, but unfortunately it also doesn't fund the

980
00:56:42,120 --> 00:56:46,279
Speaker 1: a military industrial complex worth of money at a local level,

981
00:56:46,360 --> 00:56:48,880
Speaker 1: which I think is what we're dealing with in a

982
00:56:48,960 --> 00:56:53,600
Speaker 1: lot of cases here. Yeah, pressures on Steve Martin, right,

983
00:56:55,320 --> 00:57:02,960
Speaker 1: I blame Steve Martino. Well, Brian as always such a

984
00:57:03,040 --> 00:57:06,400
Speaker 1: pleasure having you on the daily zeitgeist? Where can people

985
00:57:06,600 --> 00:57:09,239
Speaker 1: find you? Follow you all that good stuff? You can

986
00:57:09,280 --> 00:57:12,360
Speaker 1: find and follow me at Brian b R I A

987
00:57:12,600 --> 00:57:18,320
Speaker 1: n underscored b A h E on all social media outlets.

988
00:57:19,440 --> 00:57:23,480
Speaker 1: And Yeah, probably going to be doing doing some live

989
00:57:23,600 --> 00:57:27,280
Speaker 1: shows here in l A at some point, so we'll

990
00:57:27,360 --> 00:57:32,360
Speaker 1: post about that. Definitely November eleven. Definitely November eleven. Yeah, wait,

991
00:57:32,400 --> 00:57:34,880
Speaker 1: so what's what's thanks but no Thanksgiving? I have I

992
00:57:34,920 --> 00:57:39,440
Speaker 1: have an idea. It's it's basically me to other Indigenous

993
00:57:39,480 --> 00:57:42,440
Speaker 1: comedians Tyler Claire Gash Turner, we do uh like a

994
00:57:42,560 --> 00:57:47,440
Speaker 1: variety show. We already have all native like character people

995
00:57:47,680 --> 00:57:50,560
Speaker 1: stand ups who do a show. It's it's a good time.

996
00:57:51,160 --> 00:58:00,280
Speaker 1: So we should on white people. We ship on white people.

997
00:58:00,880 --> 00:58:05,520
Speaker 1: Said we should end the white people. I mean, like,

998
00:58:07,200 --> 00:58:10,439
Speaker 1: you know, I can't really just thanks but no thanks

999
00:58:10,440 --> 00:58:13,520
Speaker 1: you What is there a tweet or some of the

1000
00:58:13,600 --> 00:58:16,840
Speaker 1: work of social media you've been enjoying. Yeah, I've been

1001
00:58:16,920 --> 00:58:20,320
Speaker 1: doing I've been enjoying this Like Tera read, I feel

1002
00:58:20,360 --> 00:58:23,240
Speaker 1: like has been posting a lot of interesting stuff on

1003
00:58:23,320 --> 00:58:27,680
Speaker 1: her TikTok and some of that's made it. Two. There's

1004
00:58:27,720 --> 00:58:30,960
Speaker 1: this one TikTok video that where she's just kind of

1005
00:58:31,040 --> 00:58:36,560
Speaker 1: like on a balcony and somebody like does like a

1006
00:58:36,680 --> 00:58:40,440
Speaker 1: three second video of her and it's like, really does

1007
00:58:40,520 --> 00:58:45,240
Speaker 1: not need to exist, but it's fascinating. I know you

1008
00:58:45,320 --> 00:58:47,520
Speaker 1: sent the link. Let me just check this really quick.

1009
00:58:49,000 --> 00:58:56,600
Speaker 1: Never let them steal the light behind your eyes. Wow.

1010
00:58:56,960 --> 00:58:59,680
Speaker 1: So that it looks like she's at Griffith Park or something,

1011
00:58:59,840 --> 00:59:03,600
Speaker 1: the griff of Griffith Observatory and not. I like that

1012
00:59:03,880 --> 00:59:10,200
Speaker 1: she's not talking and it's just narration, but it's her voice. Yeah,

1013
00:59:10,280 --> 00:59:11,919
Speaker 1: she's been coming out with a lot of these lately,

1014
00:59:11,960 --> 00:59:14,880
Speaker 1: and I'm like, hey, where have you been this whole time?

1015
00:59:15,120 --> 00:59:19,760
Speaker 1: And be I'm glad you're back. Do you do best,

1016
00:59:19,880 --> 00:59:28,080
Speaker 1: which is narrating your life? That's amazing. People should go

1017
00:59:28,120 --> 00:59:29,760
Speaker 1: watch that. Will link off to it in the foot notes.

1018
00:59:29,920 --> 00:59:32,200
Speaker 1: Miles Where can people find you? What the tweet you've

1019
00:59:32,200 --> 00:59:34,680
Speaker 1: been enjoying? To find me on Twitter and Instagram at

1020
00:59:34,720 --> 00:59:37,320
Speaker 1: Miles of Gray. Also check Jack and I out on

1021
00:59:37,400 --> 00:59:39,920
Speaker 1: Miles and Jack got Matt boost. He is our basketball podcast.

1022
00:59:40,000 --> 00:59:42,480
Speaker 1: This season is about to begin, so we can fully

1023
00:59:42,520 --> 00:59:45,360
Speaker 1: you can watch us unravel or be excited. I don't

1024
00:59:45,400 --> 00:59:48,440
Speaker 1: know based on the results of the league, but hey,

1025
00:59:49,240 --> 00:59:53,160
Speaker 1: come join the fun on that show. Hope Springs Eternal

1026
00:59:53,520 --> 00:59:56,480
Speaker 1: Son my favorite, one of my favorite parts of the season,

1027
00:59:57,040 --> 00:59:59,680
Speaker 1: and I get to watch. Yeah, Russell Westbrook looked like

1028
00:59:59,760 --> 01:00:04,360
Speaker 1: some alienated step child. I'm trying to make sense of that. Uh.

1029
01:00:04,480 --> 01:00:07,360
Speaker 1: And also check me and Sophia Alexandra out on four

1030
01:00:07,440 --> 01:00:10,240
Speaker 1: twenty Day Fiance where we talk that heaping pilot trash

1031
01:00:10,320 --> 01:00:13,480
Speaker 1: called ninety day Fiance. Uh. Some tweets that I like.

1032
01:00:14,120 --> 01:00:18,400
Speaker 1: The first one is off Brandon at Dropkick. Pikachu tweeted

1033
01:00:18,560 --> 01:00:21,440
Speaker 1: they really fucking did it. They straight up got inflation

1034
01:00:21,600 --> 01:00:24,560
Speaker 1: to be synonymous with price gouging and now you can

1035
01:00:24,640 --> 01:00:27,400
Speaker 1: just price ship however you want and they'll say, damn,

1036
01:00:27,560 --> 01:00:32,040
Speaker 1: this unstoppable natural economic force called inflation is really going wild,

1037
01:00:33,000 --> 01:00:35,720
Speaker 1: which is so true. Like that is basically if they

1038
01:00:35,800 --> 01:00:38,160
Speaker 1: have fully just transition to using the word inflation and

1039
01:00:38,280 --> 01:00:41,920
Speaker 1: we're not talking about corporate profits anymore than another one

1040
01:00:42,520 --> 01:00:47,600
Speaker 1: is from a damned serious at brow brow Tweeting tweeted me,

1041
01:00:48,520 --> 01:00:52,000
Speaker 1: I think some people are birds in disguise. Friend, Hello, Well,

1042
01:00:52,040 --> 01:00:54,880
Speaker 1: can I tweet that me narrow's eyes? Can you what?

1043
01:00:58,040 --> 01:01:01,920
Speaker 1: And then oh laugh. Lastly, at I'm Not Catholic tweeted,

1044
01:01:02,120 --> 01:01:05,280
Speaker 1: white boys start freestyling in the smoke sEH like hello

1045
01:01:05,440 --> 01:01:16,600
Speaker 1: my baby, Hello, Hello my rag time gah ship. That's

1046
01:01:16,640 --> 01:01:18,880
Speaker 1: always a man, I missed that feeling when you're like

1047
01:01:19,600 --> 01:01:22,600
Speaker 1: you're somehow that turns into a freestyle cipher and you

1048
01:01:22,680 --> 01:01:25,480
Speaker 1: see something like you see somebody gets ready and you're like, yo,

1049
01:01:25,800 --> 01:01:28,480
Speaker 1: where are they going with this? And it's like, okay,

1050
01:01:28,800 --> 01:01:32,480
Speaker 1: that that wasn't bars, but okay, they were feeling themselves

1051
01:01:33,080 --> 01:01:37,360
Speaker 1: nice to you know, this is just an instrumental music track.

1052
01:01:37,440 --> 01:01:39,560
Speaker 1: I wasn't playing a beat for you to spit over.

1053
01:01:39,880 --> 01:01:43,080
Speaker 1: But I get it, man, the blunts are hidden all right.

1054
01:01:43,400 --> 01:01:46,280
Speaker 1: Some tweets have been enjoying. At Singing Flesh tweeted A

1055
01:01:46,360 --> 01:01:48,960
Speaker 1: ginger Ale will cure ailments of the body and a

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01:01:49,120 --> 01:01:52,520
Speaker 1: Dr Pepper ailments of the mind and spirit. It is

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01:01:52,640 --> 01:01:58,000
Speaker 1: just the medical facts. And then Caitlyn Greenige tweeted how

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01:01:58,080 --> 01:02:00,240
Speaker 1: I knew I was at a Brooklyn kids but day

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01:02:00,360 --> 01:02:03,880
Speaker 1: party dusk fell in the park and the mom hosting said, Okay,

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01:02:04,000 --> 01:02:06,600
Speaker 1: pack it in, rats are out. We're in their house,

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01:02:06,680 --> 01:02:09,760
Speaker 1: so we have to go. It's just a good way

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01:02:09,800 --> 01:02:13,919
Speaker 1: to think about anyways. You can find me on Twitter

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01:02:13,960 --> 01:02:16,200
Speaker 1: at Jack Underscore O'Brien. You can find us on Twitter

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01:02:16,280 --> 01:02:19,400
Speaker 1: at Daily Zeitgeist. We're at the Daily Zeitgeist on Instagram.

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01:02:19,480 --> 01:02:21,680
Speaker 1: We have a Facebook fan page and a website, Daily

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01:02:21,840 --> 01:02:24,840
Speaker 1: zeitgeist dot com, where we post our episodes on our

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01:02:24,920 --> 01:02:27,600
Speaker 1: foot notes, where we link off to the information that

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Speaker 1: we talked about in today's episode, as well as a

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Speaker 1: song that we think you might enjoy. Might as what

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01:02:33,600 --> 01:02:35,880
Speaker 1: song do we think people might enjoy? Okay, So I

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Speaker 1: stumbled on this album called The Sound of Siam Volume two,

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Speaker 1: and it's like all this music from Northeast Thailand from

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Speaker 1: the seventies and early eighties, and there's just one track

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Speaker 1: my here called kind of look Forgive Me. I don't

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Speaker 1: I'm just saying the words out loud, so I don't

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Speaker 1: know how I might be butchering them. But it's called

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Speaker 1: fang Jive Young John f A N G j A

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Speaker 1: I V I A N G J A N. Those

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Speaker 1: are three words, and the artist is step Born, Petcha Bond,

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Speaker 1: t h E P p O r N and then

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Speaker 1: the last name p E t c h U b

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Speaker 1: o N Step Bond, Step Foreign, Petcha Bond. This track

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01:03:14,760 --> 01:03:18,640
Speaker 1: is like it reminds like it's like have R and

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01:03:18,760 --> 01:03:24,160
Speaker 1: B funk like Latter Day like Temptations, but this guy's

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Speaker 1: vocals like the vocal scales of like Southeast Asian music,

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01:03:27,280 --> 01:03:29,280
Speaker 1: and like his the timber of his voice and like

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Speaker 1: the just the little like vocal flares are fucking dope.

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01:03:33,400 --> 01:03:35,760
Speaker 1: It just has like that throwback quality when you listen

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01:03:35,800 --> 01:03:38,280
Speaker 1: to it, I just feel like I'm it's it'll transport

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01:03:38,320 --> 01:03:39,840
Speaker 1: you somewhere to a different time in place, and I

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01:03:39,880 --> 01:03:41,560
Speaker 1: think that's what I really appreciate this song. So this

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01:03:41,760 --> 01:03:45,520
Speaker 1: is fang Jive Young John by step Foreign Petcha Bond.

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01:03:45,960 --> 01:03:48,200
Speaker 1: Or you can just look for the album called The

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01:03:48,280 --> 01:03:50,320
Speaker 1: Sound of Siam Volume two. A lot of those tracks

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01:03:50,320 --> 01:03:52,640
Speaker 1: are built on there, but check this out. Find that

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01:03:52,680 --> 01:03:55,320
Speaker 1: in the footnotes. The Daily zeus the production of by

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01:03:55,360 --> 01:03:57,560
Speaker 1: Heart Radio. For more podcast for my heart Radio, visit

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01:03:57,600 --> 01:03:59,960
Speaker 1: the heart Radio app, Apple podcast, or wherever you lest

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01:04:00,040 --> 01:04:02,959
Speaker 1: your favorite shows that's gonna do it for us this morning.

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Speaker 1: We are back this afternoon to tell you what is trending,

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Speaker 1: and we will talk to you all then. Bye bye

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Speaker 1: bye m