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Speaker 1: I listened to The Black Guy Who Tips podcast because

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Speaker 1: Rod and Karen are hot.

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Speaker 2: Hey, welcome to another episode of the black Out This podcast.

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Speaker 2: I'm your host Rod joined is always by my cost Karen,

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Speaker 2: And is it cold enough for you?

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Speaker 3: Bitch? Is cold?

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Speaker 1: It is like super cold, like and you know, it's

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Speaker 1: one of these things where it's like certain parts of

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Speaker 1: the country it's just cold.

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Speaker 3: And you know we normally our temperature really doesn't.

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Speaker 2: Get that cold here, but it's the temperature.

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Speaker 1: It's like twenty four to twenty five degrees in the

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Speaker 1: high I was twenty nine degrees and uh, bitch, I

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Speaker 1: didn't go nowhere. I wasn't going nowhere. I wasn't doing anything.

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Speaker 1: I needed a few things from the grocery store and

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Speaker 1: I went on Instacart and Instacart was like, yeah.

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Speaker 4: Uh, December twenty six, Then that's what it is, because uh,

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Speaker 4: whatever I need, DoD they ain't that goddamnit point because

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Speaker 4: I'm not going outside to nobody's door, yeah anything right

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Speaker 4: now because it's cold.

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Speaker 2: Yeah. It was seven degrees when I woke up here,

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Speaker 2: and I think it's it's a fourteen degrees right now. Uh,

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Speaker 2: the wind is whipping out there.

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Speaker 3: Yesterday.

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Speaker 2: Yeah, and there's been a lot of flights canceled and stuff.

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Speaker 2: Which it's funny because you know, this is our first

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Speaker 2: uh Christmas spending it without you and my family and forever, honestly,

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Speaker 2: I think the first since we started even dating, it is. Yeah.

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Speaker 2: So it was funny, uh because you know, I posted

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Speaker 2: online that you sent me the flowers that's like a

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Speaker 2: Christmas tree with the roads and stuff and very beautiful.

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Speaker 2: Thank you for it, uh proud, And.

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Speaker 1: I figured out I was like, well, I know he

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Speaker 1: don't have no decorations, so I was like, let me

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Speaker 1: send him.

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Speaker 3: They was like, oh, we can do a flower that

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Speaker 3: look like a tree.

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Speaker 1: So I was like, well, there not to be something,

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Speaker 1: you know, to kind of keep around for the next

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Speaker 1: few days.

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Speaker 3: And so I figured out that'd be be nice and sweet.

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Speaker 1: So I sent you something and I sent my mama

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Speaker 1: something and uh, uh we good with my mama because

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Speaker 1: I had to call him and ask him what was up.

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Speaker 3: Because normally when I tracked stuff like stuff like that,

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Speaker 3: I track it because.

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Speaker 1: I want to be sure that it's picked up and

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Speaker 1: I want to be sure that it's there, like they said,

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Speaker 1: And so they sent me a confirmation that said it

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Speaker 1: was at my mama's house.

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Speaker 3: So I called her. I was said, hey, Mama, how

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Speaker 3: you doing. I was like, did you get my gaff?

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Speaker 3: And she went out she said no, I haven't got nothing.

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Speaker 3: I say, well, check to see if it's on the

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Speaker 3: front porch. And she went outside in the front porch.

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Speaker 3: She was like, no, it's not here.

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Speaker 1: So after I got the phone with them, I say, Mama,

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Speaker 1: say it's all good, I said, because I'm about to

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Speaker 1: get somebody a phone call to see why does didn't

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Speaker 1: like they said, don't send me no confirmation to tell

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Speaker 1: me you know that is deal with this.

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Speaker 2: Yeah, I think they sometimes they confirmed before they deliver.

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Speaker 1: That's what That's what the person told me on the phone,

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Speaker 1: But I wanted confirmation on that. I was like, yea,

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Speaker 1: let's be sure that that's what these And so she

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Speaker 1: probably ended up getting.

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Speaker 3: It later on the day.

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Speaker 1: If I not, If I called tomorrow and she ain't

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Speaker 1: got it, they're gonna be shipping that shit again.

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Speaker 3: She's gonna get December twenty six or whatever. Like, don't

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Speaker 3: I don't care. You get two versions of it. I'm

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Speaker 3: on the pay for one.

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Speaker 2: Yeah. Yeah, when you told me that I mine was delivered.

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Speaker 2: It hadn't been delivered yet, and I was like, well,

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Speaker 2: maybe they just buzzed in and someone else buzzed the in,

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Speaker 2: or they walked in and they just put it at

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Speaker 2: the front of the door. I checked the front of

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Speaker 2: the door, wasn't there, made sure to take the keys

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Speaker 2: with me, went downstairs and looked at the mail and

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Speaker 2: it wasn't there. But when I was looking in to

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Speaker 2: see if it was the mail, I saw someone trying

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Speaker 2: to come in the door and she had the flowers.

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Speaker 2: And I opened it up and it was like is

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Speaker 2: that For three hours? She was like you right ooh,

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Speaker 2: somebody love you. She gave me the flowers and I

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Speaker 2: had to sign sign the thing and she told me

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Speaker 2: how to take care of it, uh you know, and

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Speaker 2: and all that stuff, and I'll put it upstairs. So

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Speaker 2: uh yeah, thank you, uh for those it was. I

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Speaker 2: posted them online and then I guess for some people

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Speaker 2: that hadn't hit them or maybe you know, just that

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Speaker 2: I'm up here by myself, and so it was funny.

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Speaker 2: After I posted it online, like Eljoy called me and

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Speaker 2: asked it I want to like spend Christmas with her families?

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Speaker 3: Oh yeah, sure you okay?

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Speaker 1: Yeah.

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Speaker 3: Yeah, we started reaching out.

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Speaker 1: They was like, we don't want you to spend Christmas

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Speaker 1: by yourself, right, but yeah, because I got family here,

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Speaker 1: so you know, for me, you know, if push come

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Speaker 1: to shove, you know, tomorrow, I can always go see

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Speaker 1: your parents, my mom and you know, because everybody's down here.

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Speaker 2: Yeah, but I'm sincerely okay, Like it's not you know,

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Speaker 2: I me, I'm not a big holiday person in the

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Speaker 2: first place, and I'm not a big like I need

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Speaker 2: to be around some people person. So and it's brick outside,

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Speaker 2: it's it's it's dumb brick outside. As they say, it's

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Speaker 2: so cold. I don't want to leave if I don't

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Speaker 2: have to, like unless I got an emergency or something,

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Speaker 2: anything happening outside of this block for the next two days.

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Speaker 2: It ain't got nothing to do with me. I like,

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Speaker 2: I think I might take the trash downstairs. That's about

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Speaker 2: my big plans for the Christmas cause like I think,

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Speaker 2: you know, to get the l joys from here, it

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Speaker 2: takes like an hour on the Uber and all that

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Speaker 2: stuff and an hour back and it's you know, a

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Speaker 2: low key kind of expensive and stuff. I was like,

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Speaker 2: you know, thank you. I definitely appreciate the thought, you

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Speaker 2: know what I'm saying that, But I promise.

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Speaker 1: Yet they didn't want you to be alone, which I

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Speaker 1: completely you know understand that, like you said, for a

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Speaker 1: lot of people, like you said, they didn't realize, like

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Speaker 1: you said, you was by yourself. They was like, oh,

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Speaker 1: they just assumed I was up there with you.

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Speaker 2: Yeah, twelve degrees, dog I could. I'm good. So uh yeah,

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Speaker 2: I'm h that was like.

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Speaker 1: An Eskimo with this, with this a little bit of cold,

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Speaker 1: and you know how it is here, it'd be cold

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Speaker 1: to day, cold tomorrow.

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Speaker 3: You know, maybe the next day.

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Speaker 1: Then after that we get back up to our you

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Speaker 1: know fifties and sixties.

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Speaker 2: You know that's supposed to that's supposed to happen here,

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Speaker 2: I think all across the country. That's basically what's about

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Speaker 2: to happen. Okay, this is like the Coders has been

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Speaker 2: on Christmas since like twenty eighteen or something and setting

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Speaker 2: certain kinds of records and stuff. The other thing. I

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Speaker 2: think by Tuesday it'll be back there like kind of

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Speaker 2: what it was. But yeah, so I you know, I

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Speaker 2: made sure to go ahead and you know, get me

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Speaker 2: everything I needed, you know, like I ordered a big

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Speaker 2: pizza that I know I couldn't eat, you know, in

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Speaker 2: one day or whatever. But I just ordered it on

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Speaker 2: like Thursday, and it just was like, if something happened

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Speaker 2: where the power go out, or we get snowed in

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Speaker 2: or some shit or just you know it's so called,

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Speaker 2: I'm not going nowhere and everything's closed, I'll just be

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Speaker 2: snacking on ps. So I just basically did that. And

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Speaker 2: then of course, you know, Chinese food is always available

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Speaker 2: on the holidays and they're.

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Speaker 1: Gonna deliver no matter what. That that's one thing I

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Speaker 1: do love about. Whenever you order Chinese, you ain't got

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Speaker 1: to worry about them missing no cold. They're gonna jump

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Speaker 1: the fence, whatever it takes to get you your food.

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Speaker 1: They was like, ain't no mountain high enough to get

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Speaker 1: this food to you? They was like, fuck that, they

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Speaker 1: gonna show up.

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Speaker 2: Yeah, and I eat, we eat. That's the thing that

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Speaker 2: was funny because one of my coworkers was saying, how like,

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Speaker 2: you know, man, so I guess it's Chinese for Christmas

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Speaker 2: this year. I was like, brou Honestly, my family we've

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Speaker 2: been going out and eating different ethnic cuisines on Christmas

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Speaker 2: For a minute, like before the pandemic. When we can

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Speaker 2: go to a restaurant. We go get some Indian food,

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Speaker 2: we go get some Chinese food, some Mexican food. Like

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Speaker 2: we didn't care because you know, it was less dishes,

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Speaker 2: less work, you know, leave them a big tip, you

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Speaker 2: can get a little boozy, and everybody go their separate ways.

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Speaker 2: I love that, Like that's a that's my favorite Christmas tradition.

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Speaker 1: Yeah, that's what I was telling your mama. You know,

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Speaker 1: once everything kind of gets back to normal, I wanted

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Speaker 1: to kind of continue that tradition.

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Speaker 3: And like you said, every.

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Speaker 1: Year we would pick something different, your mom and now whoever,

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Speaker 1: Like we didn't care me. You just showed up and

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Speaker 1: it was just really really fun just to go in

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Speaker 1: there and sit and eat and enjoy. Like you said,

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Speaker 1: nobody house had to be tied up, nobody had to

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Speaker 1: you know, prepare and all that stuff, because a lot

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Speaker 1: of times nowadays people normally have to go to work,

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Speaker 1: like the next day and things that, particularly when Christmas

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Speaker 1: like falls in the middle of the week and things

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Speaker 1: like that, it's just more convenient. I enjoyed that, and

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Speaker 1: like I said, once everything calmed down, I would definitely

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Speaker 1: want to start doing that again.

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Speaker 5: Yeah.

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Speaker 2: The other thing I realized it was like a lot

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Speaker 2: of people are just optimist in a way that I'm

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Speaker 2: not me because everybody's like, oh, you didn't go home

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Speaker 2: to be with your family. I was like a dog, y'all,

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Speaker 2: don't see these flights in this airport, like we.

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Speaker 1: Knew that you didn't come home, because then I'd have

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Speaker 1: been fucking word as you stuck did the plane lane

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Speaker 1: like like that. Shit is stressful and everybody canceling flights

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Speaker 1: like that turin't funny. I had already prepared, you know,

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Speaker 1: was like, Oh, he's gonna be up there, you know,

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Speaker 1: for the holidays. And I was fine with that because

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Speaker 1: my thing is, don't nobody want to be stuck in

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Speaker 1: them flights.

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Speaker 3: Don't nobody want to be stuck with.

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Speaker 1: You know, with people acting the food and being impatient

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Speaker 1: because they can't catch they connecting flight or whatever it

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Speaker 1: may be. But it's one of those things where if

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Speaker 1: you know you're trying this time and you put your

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Speaker 1: put your patience cap on, because at the end of

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Speaker 1: the day, I rather you cancel the flight, then we

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Speaker 1: fucking crash.

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Speaker 3: I'd be dead.

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Speaker 2: Yeah, Thanksgiving and Christmas are just like the worst days

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Speaker 2: to travel anyway, and like a lot of my coworkers

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Speaker 2: and stuff, if they were planning to travel, and you know,

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Speaker 2: it's like I hope y'all get there, and I hope

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Speaker 2: everything's safe and it works out. Obviously, you know, you'll

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Speaker 2: probably get there and maybe your bags don't get you know,

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Speaker 2: there's always something. But I just didn't want to deal

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Speaker 2: with that hassle. I think if I was to come

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Speaker 2: back home for like a short period of time or

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Speaker 2: something had to be like on an off cycle where

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Speaker 2: you know, it's like, oh, we have Thursday and Friday

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Speaker 2: off for Martin Luther King Day or some shit. It

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Speaker 2: wouldn't be like, uh, Christmas, Like Christmas just seemed like

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Speaker 2: to me. It's just my mentality is like I know,

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Speaker 2: I'd be in the airport, like of course I'm sitting

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Speaker 2: here and they just canceled my flight and just said,

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Speaker 2: you know, and of course no one's wearing a mask,

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Speaker 2: and of course this niggas coughing next to me, and

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Speaker 2: of course, uh, I'm gonna have to use the bathroom

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Speaker 2: in the in the in the airport, and I don't

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Speaker 2: know where to leave my luggage of course, you know,

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Speaker 2: like I'll just be sitting there like like this this

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Speaker 2: is with me, Like, yeah, this was my fault, trying

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Speaker 2: to be trying to be like abody else you know,

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Speaker 2: So I don't. I just it's not my thing, you know,

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Speaker 2: But it.

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Speaker 1: Makes my mind at ease truthfully, that you that you're there,

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Speaker 1: you know, versus me trying to worry about it.

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Speaker 3: You're gonna get here.

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Speaker 1: You're not gonna get here, you know, and you know

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Speaker 1: if you stuck, you know, and then you know, sometimes

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Speaker 1: you have to spend extra money. Layot was like, it's

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Speaker 1: not as simple as people, you know, like you said,

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Speaker 1: the optimist people try to be about it and there's

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Speaker 1: nothing wrong with traveling this time.

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Speaker 3: Of the year.

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Speaker 2: Yeah, nothing, and it probably will work out. But my

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Speaker 2: brain is just very much like if something bad happens,

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Speaker 2: it's on me. I've seen somebody complaining on Twitter and

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Speaker 2: it was so funny because they were like, my flight

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Speaker 2: has been delayed twice and now they're saying it's canceled

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Speaker 2: and I'm you know, I'm supposed to be da da

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Speaker 2: da da, and so everybody was quote tweeting them and

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Speaker 2: it was no sympathy. Everybody was like you knew what

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Speaker 2: it was when you try to book this flight. You

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Speaker 2: see this, whether you hear the bomb cyclone, they you

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Speaker 2: you the other alternatives that had you out there crashing,

256
00:12:05,840 --> 00:12:08,040
Speaker 2: blah blah. And I just thought it was funny because

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Speaker 2: I have empathy for the frustration, obviously, but that is

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Speaker 2: obviously I'm thinking the same thing as everybody else. It's like,

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Speaker 2: what you want to do? Try to push through the

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Speaker 2: fucking weather with with heart? You know what?

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Speaker 3: Do you want them to try hard time?

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Speaker 1: I don't want you to have heart, have no heart

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Speaker 1: and be like you know what, Nah, we're good, dou Yeah, I.

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Speaker 2: Don't ever want you to have heart on a flight

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Speaker 2: like I'm not you know this, ain't playing with a

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Speaker 2: with a with a with a spraining ankle, like, nah,

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Speaker 2: sit this ship down.

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Speaker 3: Facts, I'm statistics. I won't.

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Speaker 2: Right. So listening like seeing the responses of that, I

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Speaker 2: just laughed because I said, you know, everybody is is

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Speaker 2: is on the same page right now, which is like, man,

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Speaker 2: sit your ass down, you know, so I'm gonna sit

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Speaker 2: your ass down mode. But yeah, that's the that's all

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Speaker 2: that's been going on here. I have no no, no

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Speaker 2: new thing to relay, nothing, Nothing that spectacular happened to.

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Speaker 3: Me of nothing spectaclear happened here either.

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Speaker 1: I did get my shower ride because you know, me

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Speaker 1: and shower I fell out and it decided to fall

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Speaker 1: off the wall and then pop me up side of

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Speaker 1: the head, like, oh, I just give up to go.

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Speaker 1: So I was like, you know what is on the

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Speaker 1: in there, and I'm gonna throw it away? Not today,

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Speaker 1: maybe not tomorrow, maybe one day when it's sixty him

284
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Speaker 1: not doing it, No time soon. But I got a

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Speaker 1: new shower rode, and so what they have these I

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Speaker 1: didn't realize they had these little sticker things you could

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Speaker 1: put on the wall.

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Speaker 3: They kind of put up underneath it.

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Speaker 1: So next time it decides he wants to give up,

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Speaker 1: it has a support system up underneath it. So if

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Speaker 1: it decided to give up, it got a back I

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Speaker 1: got a back up playing.

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Speaker 2: Yeah. Yeah, I I did some little stuff around here too,

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Speaker 2: but go ahead, I'm.

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Speaker 3: Sorry, Oh, no problem.

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Speaker 1: So now the shower curtain back up because it's you know,

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Speaker 1: it's been on the floor for the past few days.

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Speaker 3: Because I was like, well again, so I won't be

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Speaker 3: using that bathroom.

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Speaker 2: Yeah, I had to get some stuff. I had to

301
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Speaker 2: get some stuff here too, some light bulbs, that because

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00:14:06,320 --> 00:14:08,559
Speaker 2: he didn't have light bulbs in a couple of fixtures.

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Speaker 2: And uh, I got a shower caddy and like a

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00:14:14,720 --> 00:14:21,080
Speaker 2: shower mad and all that type of stuff. They can

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00:14:21,160 --> 00:14:24,040
Speaker 2: keep it, but I just I'm not taking a shower

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Speaker 2: out of Matt, you know that kind of stuff. And uh.

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00:14:26,600 --> 00:14:29,520
Speaker 2: But but yeah, so I got a couple of knick

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00:14:29,600 --> 00:14:35,200
Speaker 2: knacks for for for here to make it more comfortable. Uh.

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Speaker 2: And then I figured out I was on the wrong internet.

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Speaker 2: They have two G and five G. I was on

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Speaker 2: the t G. So maybe this time when I play

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00:14:42,160 --> 00:14:46,200
Speaker 2: streaming media while we're doing the show, maybe they'll play. Yeah,

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00:14:46,520 --> 00:14:48,480
Speaker 2: so you know, and I figured and then it was

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Speaker 2: like the Xbox was downloading and playing better and all

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Speaker 2: this other stuff. So, uh, I was streaming all. You know,

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Speaker 2: I was already streaming stuff, but it was streaming faster

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Speaker 2: and easier. So uh, you know, you're living. Learn you

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Speaker 2: get comfortable. All right, let's uh do some shell stuff,

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Speaker 2: you know, let's get into some some segments and some

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Speaker 2: news and all that type of stuff. Uh. And we

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Speaker 2: have a new sponsor today that I'm gonna uh play.

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Speaker 2: Uh you know what, let's do the new sponsor. Now,

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00:15:21,920 --> 00:15:29,520
Speaker 2: where's the uh, where's the new sponsor? Read okay. The

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00:15:29,600 --> 00:15:32,720
Speaker 2: billionaire's funneling money into our politics are often the same

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Speaker 2: billionaires who fund corporate news media, making it hard to

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Speaker 2: trust what they're reporting. That's where the lever Time podcast

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Speaker 2: comes in. Lever Time is a weekly podcast produced by

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Speaker 2: the investigative journalists at the Lever, a reader supported and

329
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Speaker 2: independent news outlet focused on holding the powerful accountable. Their

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Speaker 2: work has uncovered deep corruption and vast sums of dark money.

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Speaker 2: The President himself referenced the importance of their work and

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Speaker 2: the speech about campaign finance reform. Go to levertime dot

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00:16:04,480 --> 00:16:08,840
Speaker 2: go to levertimepod dot com, or search lever Time on

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00:16:08,920 --> 00:16:13,240
Speaker 2: your podcast player to listen in now Here's a message

335
00:16:13,240 --> 00:16:16,880
Speaker 2: from Levertime host David Serota.

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00:16:19,640 --> 00:16:22,440
Speaker 5: I'm David Serota, Award winning journalist, Oscar nominated writer on

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00:16:22,480 --> 00:16:24,720
Speaker 5: the movie Don't Look Up, and former campaign speechwriter for

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00:16:24,720 --> 00:16:26,800
Speaker 5: Bernie Sanders. I'm also the founder of the lever We

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00:16:26,840 --> 00:16:29,240
Speaker 5: started Levertime so that our original reporting can reach as

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00:16:29,240 --> 00:16:31,480
Speaker 5: many people as possible. We also interview a variety of

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00:16:31,480 --> 00:16:34,640
Speaker 5: guests across media and politics. Some recent guests include actress

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Speaker 5: Susan Sarandon, Amazon Labor Union President Chris Smalls, MSNBC host

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00:16:38,200 --> 00:16:41,320
Speaker 5: Chris Hayes, Planned Parenthood President Alexis McGill Johnson, and US

344
00:16:41,400 --> 00:16:44,200
Speaker 5: Senator Sheldon Whitehouse and Brian Shatza. You can subscribe to

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Speaker 5: Levertime on your favorite podcast player or go to levertimepod

346
00:16:47,400 --> 00:16:48,720
Speaker 5: dot com. It's levertime.

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00:16:49,600 --> 00:16:52,520
Speaker 2: Yes, money grown again.

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Speaker 6: Look here we go with Caain, We got Verbie. Yans

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00:16:55,160 --> 00:16:57,200
Speaker 6: really need to keep a mask on hand and follow

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00:16:57,280 --> 00:16:59,600
Speaker 6: the plan. Get the vaccine in second shots where the

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Speaker 6: woman man black out who tips is doing their part,

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Speaker 6: but the dumbest expand niggas would rather believe a bunch

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Speaker 6: of misinformation. Fuck y'all idiots not getting shots now. We

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00:17:07,880 --> 00:17:10,480
Speaker 6: gotta regrets. If we keep going in this direction, we

355
00:17:10,600 --> 00:17:12,960
Speaker 6: never can rest, never can't get back to the last

356
00:17:13,040 --> 00:17:15,800
Speaker 6: we be living the best. Damn fool stopped the lion,

357
00:17:15,840 --> 00:17:19,400
Speaker 6: stopped the intubation, crying because it's your fucking motherfucker's dying.

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00:17:20,080 --> 00:17:23,040
Speaker 6: Damn fool stopped the lion, stopped the ventilator, crying because

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00:17:23,040 --> 00:17:26,520
Speaker 6: it's your fucking motherfucker's dying. I do not understand this shit.

360
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Speaker 6: I'm not a fan of this. We would like one

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00:17:28,800 --> 00:17:31,760
Speaker 6: win from the Pandemic Championship. The fuckers want to leave

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00:17:31,800 --> 00:17:35,560
Speaker 6: it to Game seven with Yannistelta Coopo flocking forward progression in.

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Speaker 2: Chris middle fingers to your.

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Speaker 6: Plans man, Damn looks like it's no Drew Holliday for

365
00:17:40,760 --> 00:17:43,120
Speaker 6: you and your man. Some sick of black people dying

366
00:17:43,160 --> 00:17:45,200
Speaker 6: for real. So I'm just writing this new piece to

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00:17:45,280 --> 00:17:49,880
Speaker 6: let you know how I feel. Coronavirus. Fuck that COVID nineteen.

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00:17:50,000 --> 00:17:53,200
Speaker 6: It's unseen. It's creeping in the air for you to breathe. Yeah,

369
00:17:53,400 --> 00:17:56,160
Speaker 6: huh so, fuck that COVID nineteen. It's unseen.

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00:17:56,240 --> 00:17:59,400
Speaker 2: It's creeping in the air for you to breathe. Yeah,

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00:17:59,600 --> 00:18:06,600
Speaker 2: cort virus news, let's talk about it. China limits how

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00:18:06,600 --> 00:18:11,080
Speaker 2: it defines COVID deaths in official count meaning that the

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00:18:11,160 --> 00:18:15,919
Speaker 2: numbers we're getting may or may not be accurate. China

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00:18:16,000 --> 00:18:19,440
Speaker 2: only counts death from pneumonia or respiratory failure if it's

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00:18:19,520 --> 00:18:23,680
Speaker 2: in its official COVID nineteen death toe. It's a narrow

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00:18:23,720 --> 00:18:26,679
Speaker 2: definition that limits the number of deaths reported as an

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00:18:26,680 --> 00:18:29,760
Speaker 2: outbreak of the virus. Surgis following the easing of pandemic

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00:18:29,800 --> 00:18:31,680
Speaker 2: related restrictions because they.

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Speaker 1: Don't want their numbers to be scott because the thing

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00:18:33,720 --> 00:18:37,320
Speaker 1: is COVID has been around long enough. We still don't

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00:18:37,359 --> 00:18:39,920
Speaker 1: know everything you can do, but it's been around long

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00:18:40,080 --> 00:18:43,040
Speaker 1: enough to show that it affects a lot of different

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00:18:43,040 --> 00:18:47,120
Speaker 1: shit in your body, and so all these things could

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Speaker 1: be COVID related, and they're like, we ain't count none

385
00:18:49,720 --> 00:18:53,520
Speaker 1: of that shit, just like houseway, Like, so y'all really giving.

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00:18:53,400 --> 00:18:56,959
Speaker 2: Us true numbers, right, if you had a pre existing illness,

387
00:18:57,359 --> 00:18:59,520
Speaker 2: they're not counting that as a COVID depth. If you

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Speaker 2: get COVID but then you died, they'd be like, Nah,

389
00:19:01,840 --> 00:19:04,160
Speaker 2: was you know, gout or whatever?

390
00:19:05,240 --> 00:19:10,359
Speaker 1: That's stupid, Yeah, because COVID can hit underlying things that

391
00:19:10,440 --> 00:19:13,159
Speaker 1: you might not even realize that existed or something that

392
00:19:13,200 --> 00:19:13,520
Speaker 1: you had.

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00:19:13,520 --> 00:19:16,040
Speaker 3: It actually because of COVID made it worse.

394
00:19:16,440 --> 00:19:19,960
Speaker 2: And in fact, Wong's comments on Tuesday simply clarified publicly

395
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Speaker 2: that what the country has been doing throughout the pandemic.

396
00:19:22,800 --> 00:19:26,040
Speaker 2: On Wednesday, China reported no new COVID nineteen deaths, and

397
00:19:26,080 --> 00:19:30,200
Speaker 2: in fact subtracted one death from the overall total, lowering

398
00:19:30,240 --> 00:19:33,119
Speaker 2: it to five two hundred and forty one, According to

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00:19:33,160 --> 00:19:35,920
Speaker 2: a daily tally issue by the National Health Commission, which

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00:19:35,960 --> 00:19:38,000
Speaker 2: did not offer an explanation for the decrease.

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00:19:39,400 --> 00:19:43,080
Speaker 1: Oh so basically nobody really knows how many people actually

402
00:19:43,119 --> 00:19:46,879
Speaker 1: done because they're like, we are not counting shit because

403
00:19:46,920 --> 00:19:48,879
Speaker 1: we don't Actually, we don't want to know.

404
00:19:48,960 --> 00:19:50,720
Speaker 3: Basically that's what you're saying. We don't want to know

405
00:19:50,840 --> 00:19:51,800
Speaker 3: because we don't want.

406
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Speaker 1: To look like we don't have this shit under control.

407
00:19:54,240 --> 00:19:57,320
Speaker 1: Bitsh nobody got it under control. Like I don't understand.

408
00:19:57,840 --> 00:20:02,360
Speaker 2: Well, I think also like there's political motivations and messaging

409
00:20:02,400 --> 00:20:05,800
Speaker 2: that comes out of China with their COVID numbers. And

410
00:20:05,840 --> 00:20:08,200
Speaker 2: I'm sure every country is guilty of it to some level,

411
00:20:08,200 --> 00:20:12,040
Speaker 2: but China's you know, extremely dubious when it comes to

412
00:20:12,080 --> 00:20:16,359
Speaker 2: their numbers, and so it's causing a lot of panic

413
00:20:16,400 --> 00:20:20,639
Speaker 2: because you know, their vaccine is only sixty percent effective,

414
00:20:20,680 --> 00:20:23,879
Speaker 2: a lot of people didn't get it. Now they're basically

415
00:20:24,000 --> 00:20:27,199
Speaker 2: went from one hundred to zero when it comes to

416
00:20:28,000 --> 00:20:29,520
Speaker 2: COVID restrictions, Like.

417
00:20:29,480 --> 00:20:33,560
Speaker 3: You're on your own a slow process, right.

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00:20:33,760 --> 00:20:37,200
Speaker 2: China estimates COVID surge is infecting thirty seven million people

419
00:20:37,240 --> 00:20:46,359
Speaker 2: a day the day a day. Yeah, yeah, nearly thirty

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00:20:46,400 --> 00:20:48,399
Speaker 2: seven million people in China may have been infected with

421
00:20:48,440 --> 00:20:50,440
Speaker 2: COVID nineteen on a single day this week, According to

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00:20:50,560 --> 00:20:53,560
Speaker 2: estimates from the government's top health authority, making the country's

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00:20:53,560 --> 00:20:56,240
Speaker 2: outbreak by far the world's largest, as many as two

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Speaker 2: hundred and forty eight million people, or nearly eighteen percent

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00:20:58,880 --> 00:21:01,840
Speaker 2: of the population, likely contracted the virus in the first

426
00:21:01,880 --> 00:21:04,920
Speaker 2: twenty days of December, according to minutes from an internal

427
00:21:04,960 --> 00:21:09,160
Speaker 2: meeting of China's National Health Commission held on Wednesday, confirmed

428
00:21:09,240 --> 00:21:13,080
Speaker 2: with people involved in the discussions. If accurate, the infection

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00:21:13,200 --> 00:21:16,240
Speaker 2: rate would dwarf the previous daily record of about four million.

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00:21:18,160 --> 00:21:22,840
Speaker 1: Yeah, and so that number makes sense, that numbers hot.

431
00:21:23,280 --> 00:21:26,960
Speaker 1: That's like a hard number to swallow. But I can

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00:21:27,200 --> 00:21:32,440
Speaker 1: understand because you've had protests across the country. You've had

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00:21:32,520 --> 00:21:35,360
Speaker 1: people going out and being you know, close to proximity

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00:21:35,400 --> 00:21:38,800
Speaker 1: than ever before. You have people that they're tied of

435
00:21:38,880 --> 00:21:43,720
Speaker 1: the restrictions and things like that, and so once you

436
00:21:43,760 --> 00:21:46,040
Speaker 1: lift these restrictions, you have people going out living the

437
00:21:46,160 --> 00:21:50,080
Speaker 1: everyday life. People that probably otherwise would not have got infected,

438
00:21:50,359 --> 00:21:53,760
Speaker 1: getting infected for the very first time, or either they

439
00:21:53,880 --> 00:21:56,840
Speaker 1: might be what do you call that where you don't

440
00:21:56,880 --> 00:22:00,359
Speaker 1: have any symptoms, asymptomatic and not know it and just

441
00:22:00,400 --> 00:22:02,919
Speaker 1: spreading it like these are the things that you run into,

442
00:22:03,640 --> 00:22:05,720
Speaker 1: you know, And that's the thing. They're dealing with this

443
00:22:05,760 --> 00:22:08,040
Speaker 1: for the first time when other countries have always kind

444
00:22:08,080 --> 00:22:11,080
Speaker 1: of been dealing with this. You know, they just literally

445
00:22:11,160 --> 00:22:13,520
Speaker 1: have the power and the authority to shut shit down.

446
00:22:13,600 --> 00:22:16,959
Speaker 1: Nor other country had this, So they looking at other

447
00:22:16,960 --> 00:22:19,800
Speaker 1: countries like look at their numbers, like, yeah, y'all numbers

448
00:22:19,840 --> 00:22:22,159
Speaker 1: will probably be high or higher just because of the

449
00:22:22,160 --> 00:22:24,560
Speaker 1: population of people in the close proximity people are to

450
00:22:24,600 --> 00:22:27,240
Speaker 1: each other. But like you said, they're not counting numbers right,

451
00:22:27,359 --> 00:22:30,880
Speaker 1: and you know, people wouldn't allow to just freely move

452
00:22:30,920 --> 00:22:32,919
Speaker 1: around like they are now, so I could see these

453
00:22:33,000 --> 00:22:34,200
Speaker 1: numbers going through the roof.

454
00:22:35,000 --> 00:22:35,760
Speaker 2: Yeah, here's the thing.

455
00:22:35,880 --> 00:22:36,360
Speaker 3: I don't know.

456
00:22:37,240 --> 00:22:39,080
Speaker 2: I don't know. I don't know if these numbers are

457
00:22:39,080 --> 00:22:42,760
Speaker 2: accurate or not. I think this could also be messaging

458
00:22:43,160 --> 00:22:48,800
Speaker 2: from China's government going well, let's now overestimate the numbers.

459
00:22:48,880 --> 00:22:50,399
Speaker 2: That's scared the shit out of people and be like

460
00:22:50,480 --> 00:22:53,200
Speaker 2: we were right to have y'all own lockdown because now

461
00:22:53,920 --> 00:22:56,560
Speaker 2: instead of four million people being the biggest day, it's

462
00:22:56,600 --> 00:23:02,280
Speaker 2: thirty seven million people. They're not even doing mandatory test anymore, Like,

463
00:23:02,400 --> 00:23:04,800
Speaker 2: we don't know the accuracy of what's coming out of there,

464
00:23:04,840 --> 00:23:08,040
Speaker 2: and I know it's scary as shit, but we've never

465
00:23:08,119 --> 00:23:08,720
Speaker 2: really known.

466
00:23:08,920 --> 00:23:15,200
Speaker 1: So for me, how far to the left of far

467
00:23:15,280 --> 00:23:16,960
Speaker 1: to the right these numbers actually are.

468
00:23:17,119 --> 00:23:19,800
Speaker 2: We'll find out if it's real when this ship spreads

469
00:23:19,800 --> 00:23:23,159
Speaker 2: throughout the world, you know, But we don't need to

470
00:23:23,200 --> 00:23:27,920
Speaker 2: be honest, Yeah, exactly, we don't really know. We get

471
00:23:28,000 --> 00:23:30,800
Speaker 2: so much information second and third hand from trying to

472
00:23:30,840 --> 00:23:33,720
Speaker 2: it's you know, that's really the scariest part to me.

473
00:23:35,000 --> 00:23:38,360
Speaker 2: Church membership, church attendance, and belief in God all declined

474
00:23:38,440 --> 00:23:41,719
Speaker 2: during the pandemic years. I love how they said it

475
00:23:41,720 --> 00:23:46,399
Speaker 2: like it's over. It accelerated a decades long trend away

476
00:23:46,400 --> 00:23:49,560
Speaker 2: from organized worship. In person. Church attend it plummeted by

477
00:23:49,600 --> 00:23:52,880
Speaker 2: forty five percent in the pandemic, and at least one

478
00:23:52,920 --> 00:23:56,239
Speaker 2: fifth of Americas today embrace no religion at all. What

479
00:23:56,359 --> 00:23:59,400
Speaker 2: I think is interesting here is the number of mega

480
00:23:59,520 --> 00:24:08,040
Speaker 2: churches has actually risen. Though. So it's funny because to me,

481
00:24:08,080 --> 00:24:12,160
Speaker 2: a megachurch is just a collection of money. So it's

482
00:24:12,240 --> 00:24:14,879
Speaker 2: just like somehow they figured out how to funnel the

483
00:24:14,960 --> 00:24:20,400
Speaker 2: money into just a few places. But the actual worshipers, believers,

484
00:24:20,600 --> 00:24:24,520
Speaker 2: the work of doing stuff with people in hands and

485
00:24:25,160 --> 00:24:29,480
Speaker 2: getting out into communities. That shit is taking a plummet, you.

486
00:24:29,400 --> 00:24:34,360
Speaker 1: Know, yeah, because I think the I think the pandemic

487
00:24:34,520 --> 00:24:38,159
Speaker 1: for a lot of people forced them to come to

488
00:24:38,440 --> 00:24:45,520
Speaker 1: a reality and for some people cause them to question

489
00:24:45,880 --> 00:24:47,040
Speaker 1: why am I even going here?

490
00:24:47,080 --> 00:24:48,240
Speaker 3: Why am I even doing.

491
00:24:48,080 --> 00:24:50,040
Speaker 1: This, like like for the first time, Because a lot

492
00:24:50,080 --> 00:24:52,199
Speaker 1: of people do things out of tradition because that's just

493
00:24:52,240 --> 00:24:55,080
Speaker 1: the way it's always been done, and they just never

494
00:24:55,200 --> 00:24:57,560
Speaker 1: challenged it, just the way I was raised, I was

495
00:24:57,600 --> 00:24:59,560
Speaker 1: grown up, you know how what it may be in

496
00:24:59,600 --> 00:25:04,520
Speaker 1: this or whatever they tell themselves. And for the first time,

497
00:25:04,720 --> 00:25:08,680
Speaker 1: people were actually forced to be away from a lot

498
00:25:08,720 --> 00:25:12,719
Speaker 1: of these connections in this community they've kind of always

499
00:25:12,760 --> 00:25:16,320
Speaker 1: been involved in, and they were forced to find community

500
00:25:16,320 --> 00:25:18,479
Speaker 1: and other places. And some people find out that they

501
00:25:18,640 --> 00:25:21,879
Speaker 1: actually like these other communities that they've created a lot

502
00:25:22,080 --> 00:25:25,680
Speaker 1: more than they actually liked the community that they were

503
00:25:25,720 --> 00:25:29,320
Speaker 1: having at church, you know. And I think that for

504
00:25:29,359 --> 00:25:31,360
Speaker 1: a lot of people they just opted out to go back.

505
00:25:31,400 --> 00:25:33,560
Speaker 1: And I think for a lot of people they realized

506
00:25:33,600 --> 00:25:37,119
Speaker 1: they had more free time because you know, particularly some churches,

507
00:25:37,160 --> 00:25:38,920
Speaker 1: they tie up a lot of your time, and a

508
00:25:38,920 --> 00:25:41,720
Speaker 1: lot of people go, I actually have time to do things.

509
00:25:41,840 --> 00:25:45,720
Speaker 1: I'm not consistently tied up with this taking all of

510
00:25:45,760 --> 00:25:49,639
Speaker 1: my time. And I think some people reevaluated, some people shifted,

511
00:25:49,720 --> 00:25:52,359
Speaker 1: some people actually go, yes, I'm still a believer, I

512
00:25:52,400 --> 00:25:54,560
Speaker 1: still go to church, but I'm not doing all that

513
00:25:54,600 --> 00:25:57,880
Speaker 1: shit I did before. Like it cause people to reevaluate

514
00:25:58,640 --> 00:26:02,720
Speaker 1: what Christianity and what this lifestyle means to them.

515
00:26:03,000 --> 00:26:05,520
Speaker 3: And for some people, they opted just to opt out.

516
00:26:05,880 --> 00:26:06,080
Speaker 1: You know.

517
00:26:06,600 --> 00:26:07,760
Speaker 3: I think that the.

518
00:26:07,800 --> 00:26:10,119
Speaker 1: Pandemic calls, like I said, it calls a lot of

519
00:26:10,160 --> 00:26:14,520
Speaker 1: people actually question a lot of things about themselves, about

520
00:26:14,520 --> 00:26:16,720
Speaker 1: their lives. A lot of people underestimate how much the

521
00:26:16,800 --> 00:26:19,480
Speaker 1: pandemic caused people to be inside of their minds, their

522
00:26:19,520 --> 00:26:22,159
Speaker 1: own personal minds for the first time, you know, and

523
00:26:22,200 --> 00:26:25,479
Speaker 1: not being influenced by pastors and preachers and teachers and

524
00:26:25,520 --> 00:26:26,800
Speaker 1: prophets and bishops and.

525
00:26:26,800 --> 00:26:27,440
Speaker 3: All these things.

526
00:26:27,440 --> 00:26:29,919
Speaker 1: You actually got to sit down and get within your

527
00:26:29,960 --> 00:26:35,200
Speaker 1: own mind and think about your own personal relationship and

528
00:26:35,440 --> 00:26:37,879
Speaker 1: how you feel about these things. And people made various

529
00:26:37,880 --> 00:26:41,560
Speaker 1: different decisions based off of the reality of this. And

530
00:26:41,600 --> 00:26:43,680
Speaker 1: like I said, some people was like, Hey, I'm tired

531
00:26:43,680 --> 00:26:46,359
Speaker 1: of giving my time and giving my money and doing

532
00:26:46,359 --> 00:26:49,000
Speaker 1: these things and not reaping the benefits of not seeing

533
00:26:49,040 --> 00:26:52,320
Speaker 1: how these things are beneficial to me or they will

534
00:26:52,359 --> 00:26:55,160
Speaker 1: saying I might Instead of doing that, what I might

535
00:26:55,240 --> 00:26:57,560
Speaker 1: do is is take my money and divert it in

536
00:26:57,600 --> 00:27:01,639
Speaker 1: another direction. Still doing good here, helping people, but this

537
00:27:01,840 --> 00:27:03,760
Speaker 1: right here might not be the best way for me.

538
00:27:04,240 --> 00:27:08,280
Speaker 1: And I think that a lot of people underestimate, underestimated

539
00:27:08,320 --> 00:27:11,600
Speaker 1: how much the pandemic was going to pool people away

540
00:27:11,600 --> 00:27:14,640
Speaker 1: from from organized religion and churches permanently.

541
00:27:14,720 --> 00:27:15,960
Speaker 3: So many people are most of these A lot of

542
00:27:15,960 --> 00:27:17,160
Speaker 3: people are never coming back.

543
00:27:17,880 --> 00:27:21,480
Speaker 2: Yeah, here's what I think. All that, all that is

544
00:27:21,520 --> 00:27:24,160
Speaker 2: probably true. I think those were true before the pandemic.

545
00:27:24,200 --> 00:27:27,800
Speaker 2: Everything you said, I think the pandemic accelerated those things.

546
00:27:27,800 --> 00:27:33,119
Speaker 2: But here's what I think. Church members are dead because

547
00:27:33,160 --> 00:27:38,840
Speaker 2: a lot of churches were anti vaccine, anti science, anti democrat,

548
00:27:39,440 --> 00:27:44,520
Speaker 2: anti lockdown. And whether you died or not because of that,

549
00:27:44,560 --> 00:27:46,680
Speaker 2: because I'm sure a lot of people just fucking died.

550
00:27:47,359 --> 00:27:52,560
Speaker 2: I still remember covering stuff locally where uh, the International

551
00:27:52,640 --> 00:27:55,800
Speaker 2: House of Prayer was still going before they even had vaccines.

552
00:27:56,000 --> 00:27:58,879
Speaker 2: They were going to Yeah, they were going to events

553
00:27:58,880 --> 00:28:01,639
Speaker 2: where there was gonna be like singing and choirs. And

554
00:28:01,680 --> 00:28:05,560
Speaker 2: they were having outbreaks and they were defying the lockdowns

555
00:28:05,560 --> 00:28:08,399
Speaker 2: and doing them even with people having outbreaks and getting

556
00:28:08,400 --> 00:28:11,800
Speaker 2: sick and people dying. So that's number one. Number two,

557
00:28:11,960 --> 00:28:14,400
Speaker 2: if motherfuckers are dying, and y'all are anti vaccine, y'all

558
00:28:14,440 --> 00:28:16,960
Speaker 2: are anti lockdown. A lot of people that was the

559
00:28:17,040 --> 00:28:20,359
Speaker 2: last draw. They were like, I'm going to church because

560
00:28:20,400 --> 00:28:26,400
Speaker 2: I like community. The pandemic hurt community in many areas,

561
00:28:26,920 --> 00:28:32,000
Speaker 2: but it definitely church became political. The act of even

562
00:28:32,040 --> 00:28:35,120
Speaker 2: going became political. And a lot a lot of these

563
00:28:35,160 --> 00:28:37,720
Speaker 2: churches chose to be political. They did. They could have.

564
00:28:37,840 --> 00:28:39,520
Speaker 2: They could have said, look, man, it ain't got nothing

565
00:28:39,520 --> 00:28:40,880
Speaker 2: to do with us and the Lord, and when the

566
00:28:40,960 --> 00:28:43,360
Speaker 2: vaccines get here, we're gonna just do that and ball.

567
00:28:43,640 --> 00:28:48,360
Speaker 2: But they chose the like naked messaging about how being

568
00:28:48,440 --> 00:28:52,520
Speaker 2: lockdown was somehow anti religious and how it was your

569
00:28:52,600 --> 00:28:55,640
Speaker 2: religious freedom. They literally challenged this in the court, and

570
00:28:55,680 --> 00:28:58,440
Speaker 2: some of them even want to say it's our religious

571
00:28:58,440 --> 00:29:01,600
Speaker 2: freedom to hold church. No, if you can go to

572
00:29:02,000 --> 00:29:04,000
Speaker 2: a liquor store, then you should be able to go

573
00:29:04,040 --> 00:29:07,080
Speaker 2: to a church. And and and so I think you

574
00:29:07,120 --> 00:29:09,600
Speaker 2: had a lot of people that you know, would the otherwise.

575
00:29:10,160 --> 00:29:11,959
Speaker 2: They didn't want to be on the sick and shut

576
00:29:12,080 --> 00:29:13,880
Speaker 2: in list, so they said, I'm not coming no more.

577
00:29:14,040 --> 00:29:17,800
Speaker 2: And then the last thing is, I think virtual church

578
00:29:18,880 --> 00:29:20,440
Speaker 2: took over for a lot of people, and it's like

579
00:29:20,480 --> 00:29:23,000
Speaker 2: they're not coming back, because this is just as good

580
00:29:23,000 --> 00:29:27,040
Speaker 2: as an option, you know for some people you know

581
00:29:27,320 --> 00:29:31,120
Speaker 2: where uh, you know, for whatever reasons, whether there be

582
00:29:31,160 --> 00:29:36,920
Speaker 2: a health thing, a convenience thing, like some people just

583
00:29:37,000 --> 00:29:40,040
Speaker 2: like I'm not attending this stuff anymore.

584
00:29:40,440 --> 00:29:43,840
Speaker 1: Right, right, And and the thing is the number, like

585
00:29:43,840 --> 00:29:46,160
Speaker 1: you say, the biggest thing. Same thing with the health

586
00:29:46,200 --> 00:29:50,320
Speaker 1: care industry and in the hospitality industry and like food

587
00:29:50,360 --> 00:29:54,120
Speaker 1: services and things like that. When people die. People underestimate

588
00:29:54,160 --> 00:29:56,800
Speaker 1: what happens when these people die. These people aren't instantly replaced.

589
00:29:56,880 --> 00:29:59,520
Speaker 1: And most churches, guess what they was packed full.

590
00:29:59,360 --> 00:29:59,960
Speaker 3: Of old people.

591
00:30:00,080 --> 00:30:02,680
Speaker 1: Anyway, I'll drove the side a pact full of old people,

592
00:30:02,680 --> 00:30:04,920
Speaker 1: your grandma and now a lot of times. And so

593
00:30:05,520 --> 00:30:07,719
Speaker 1: you know, when these people start dying, you don't have

594
00:30:07,960 --> 00:30:10,920
Speaker 1: it's rare that you have another generation coming up trying

595
00:30:10,960 --> 00:30:13,960
Speaker 1: to take their quote unquote spots and places. And so yes,

596
00:30:14,040 --> 00:30:17,080
Speaker 1: these numbers are inclined and like you said, you have

597
00:30:17,160 --> 00:30:20,800
Speaker 1: a lot of people that and we actually covered like

598
00:30:21,280 --> 00:30:24,800
Speaker 1: maybe one pastor that was like, what we're not gonna

599
00:30:24,800 --> 00:30:29,680
Speaker 1: do is get up together until we get a vaccine.

600
00:30:29,720 --> 00:30:31,840
Speaker 1: Like that's what we're not gonna do. And that was

601
00:30:31,960 --> 00:30:34,600
Speaker 1: rarety most of them black, white, whatever. They was like,

602
00:30:34,640 --> 00:30:36,880
Speaker 1: this is my rights and this is my freedom. And

603
00:30:36,960 --> 00:30:38,920
Speaker 1: COVID came in and swept the building and we was

604
00:30:38,960 --> 00:30:41,760
Speaker 1: reading articles over and over again about people catching it

605
00:30:41,840 --> 00:30:43,960
Speaker 1: from choir practice and all the shit that they was

606
00:30:44,040 --> 00:30:46,200
Speaker 1: saying not to do. They was like, fuck it, we

607
00:30:46,280 --> 00:30:48,880
Speaker 1: doing it. And this is the kind of the consequences

608
00:30:48,880 --> 00:30:51,840
Speaker 1: and the repercussions and the roosters coming home the roost

609
00:30:52,280 --> 00:30:56,080
Speaker 1: from you not really caring about your people and your flock.

610
00:30:56,720 --> 00:31:00,840
Speaker 2: I think also the Internet has provided people with new religions,

611
00:31:02,160 --> 00:31:07,840
Speaker 2: whether it be QAnon, whether it be you know, whether

612
00:31:07,840 --> 00:31:11,640
Speaker 2: it be yeah, like yeah, Man of Spears and these

613
00:31:13,240 --> 00:31:19,040
Speaker 2: quasi religious movements that aren't really quote unquote religion, but

614
00:31:19,160 --> 00:31:21,160
Speaker 2: like you know, Maga and Trump, you know, where it's

615
00:31:21,200 --> 00:31:23,960
Speaker 2: like a weird cult like thing. I think that's another

616
00:31:23,960 --> 00:31:26,400
Speaker 2: thing that happened in the pandemic. So many people became

617
00:31:26,560 --> 00:31:30,040
Speaker 2: you know, Kyrie ever becoming like mister black Israelite. I

618
00:31:30,040 --> 00:31:32,440
Speaker 2: think that shit was accelerated by the fact that you

619
00:31:32,480 --> 00:31:35,560
Speaker 2: can't go nowhere on the Internet and stuff that would

620
00:31:35,560 --> 00:31:37,720
Speaker 2: have been like a passing fancy or something that you

621
00:31:37,840 --> 00:31:40,920
Speaker 2: just think, like, I wonder people start going down these

622
00:31:40,960 --> 00:31:43,880
Speaker 2: rabbit holes and emerging on the other side completely different

623
00:31:43,920 --> 00:31:46,720
Speaker 2: than having beliefs that completely different than what they went

624
00:31:46,760 --> 00:31:50,479
Speaker 2: in with. So I think that's the other thing. But

625
00:31:50,560 --> 00:31:54,960
Speaker 2: it is interesting that the megachurches, meaning the money, it's

626
00:31:55,000 --> 00:31:59,040
Speaker 2: still happening, and I think that's because straight up Republicans

627
00:32:00,800 --> 00:32:04,520
Speaker 2: are treating treating the church like a political wing and

628
00:32:04,640 --> 00:32:06,600
Speaker 2: their funding it and.

629
00:32:06,480 --> 00:32:09,120
Speaker 1: Money into it regards if they attend to not they

630
00:32:09,240 --> 00:32:10,320
Speaker 1: just like, here's some money.

631
00:32:10,560 --> 00:32:15,720
Speaker 2: Yeah, it's the evangelical wing is an actual political arm

632
00:32:15,800 --> 00:32:19,200
Speaker 2: of the Conservatives, And so I wouldn't be surprised if

633
00:32:19,240 --> 00:32:22,080
Speaker 2: a lot of that is just the money coming from

634
00:32:22,320 --> 00:32:25,160
Speaker 2: a smaller collection of people that may or may not

635
00:32:25,240 --> 00:32:28,840
Speaker 2: even be religious, but they understand that these institutions and

636
00:32:28,880 --> 00:32:34,280
Speaker 2: these mouthpieces being around, much like conservative radio, are much

637
00:32:34,280 --> 00:32:38,520
Speaker 2: more impactful then you can even quantify and votes, and

638
00:32:38,560 --> 00:32:41,400
Speaker 2: so I wouldn't be shocked if that's why you consider

639
00:32:41,760 --> 00:32:44,400
Speaker 2: you continue to see like a megachurch and the mainstream

640
00:32:44,480 --> 00:32:51,320
Speaker 2: churches do well. Hospitals Infectious Disease Board recommended that hospital

641
00:32:51,360 --> 00:32:58,520
Speaker 2: stop screening asymptomatic patients for COVID nineteen. Basically to get

642
00:32:58,560 --> 00:33:04,960
Speaker 2: into the meat of this, it's money basically what's coming

643
00:33:05,000 --> 00:33:10,360
Speaker 2: down to, saying, like one, a lot of the aid

644
00:33:10,440 --> 00:33:14,680
Speaker 2: and stuff that was coming from the government is running out, right,

645
00:33:15,840 --> 00:33:17,880
Speaker 2: and so they.

646
00:33:17,840 --> 00:33:18,960
Speaker 3: Was like, we're wasting our time.

647
00:33:19,000 --> 00:33:22,280
Speaker 2: Basically, the people in charge of the money are like,

648
00:33:23,200 --> 00:33:28,280
Speaker 2: we can't afford to and should not continue to test

649
00:33:28,320 --> 00:33:33,720
Speaker 2: people that are asymptomatic, even though we know asymptomatic people

650
00:33:33,720 --> 00:33:36,520
Speaker 2: can still spread it, you know, and it's less likely,

651
00:33:36,560 --> 00:33:41,280
Speaker 2: but they still can. And you would in a perfect world,

652
00:33:41,320 --> 00:33:43,360
Speaker 2: I'm sure you rather know and then send that person

653
00:33:43,360 --> 00:33:46,680
Speaker 2: home for two weeks or whatever. But yeah, they basically

654
00:33:46,720 --> 00:33:50,080
Speaker 2: just said, yeah, we can't do it, and the actual

655
00:33:50,160 --> 00:33:54,040
Speaker 2: workers were like, no, we want the testing.

656
00:33:54,560 --> 00:33:57,120
Speaker 1: Yes, because they was like, we actually come in contact

657
00:33:57,120 --> 00:34:00,640
Speaker 1: with these people, like we understand that y'all know, y'all

658
00:34:00,640 --> 00:34:04,160
Speaker 1: counting dollars and cents, but y'all, I basically put in

659
00:34:04,200 --> 00:34:07,400
Speaker 1: our lives in dangers and guess what. And some of

660
00:34:07,480 --> 00:34:09,680
Speaker 1: us have died, some of us have quit, some of

661
00:34:09,760 --> 00:34:14,279
Speaker 1: us have changed departments, and the little few people we

662
00:34:14,320 --> 00:34:16,399
Speaker 1: got out here that y'all fucking working to death, We're

663
00:34:16,440 --> 00:34:19,080
Speaker 1: not going to be out here dying and shit just

664
00:34:19,120 --> 00:34:20,920
Speaker 1: because y'all want to pinch pennies.

665
00:34:21,440 --> 00:34:23,840
Speaker 2: The report also knows one study found that a COVID

666
00:34:23,920 --> 00:34:26,680
Speaker 2: test can cost fifty four dollars and fifty cent per patient,

667
00:34:27,080 --> 00:34:29,560
Speaker 2: which adds up if you test every patient, and it's

668
00:34:29,600 --> 00:34:31,880
Speaker 2: cited a study in Spain and found a more targeted

669
00:34:31,880 --> 00:34:34,840
Speaker 2: approach that screened just twenty five percent of patients but

670
00:34:34,960 --> 00:34:39,359
Speaker 2: before elective surgery admissions, was equally effective at reducing transmission,

671
00:34:40,480 --> 00:34:42,520
Speaker 2: which is another thing that they're bringing up is like

672
00:34:43,719 --> 00:34:47,560
Speaker 2: we're casting a wide net, but we might be just

673
00:34:47,600 --> 00:34:50,360
Speaker 2: as effective casting a smaller net to a very specific

674
00:34:50,400 --> 00:34:53,440
Speaker 2: type of person. So it's like, Okay, you got you coughing,

675
00:34:53,719 --> 00:34:57,400
Speaker 2: or you got whatever body aches were testing you. But

676
00:34:57,440 --> 00:34:59,040
Speaker 2: if you just come in and you feel fine, you

677
00:34:59,080 --> 00:35:01,160
Speaker 2: seem to be fine, we're not wasting a test on you.

678
00:35:01,760 --> 00:35:06,480
Speaker 2: And basically in practice it is about the same effectiveness.

679
00:35:08,160 --> 00:35:10,240
Speaker 2: But yeah, it's you know, yeah.

680
00:35:10,080 --> 00:35:12,000
Speaker 1: But when you're talking about human beings and people, they

681
00:35:12,080 --> 00:35:13,359
Speaker 1: have to come in contact with that.

682
00:35:13,440 --> 00:35:16,080
Speaker 3: They're like, fuck, that's yeah, and that got damn money.

683
00:35:16,200 --> 00:35:20,080
Speaker 2: Yeah, people would rather know, you know, right. Notably, the

684
00:35:20,120 --> 00:35:24,080
Speaker 2: board didn't advise facilities to abandon asymptomatic screening in all cases.

685
00:35:24,120 --> 00:35:27,200
Speaker 2: It may still be helpful in specific settings, including when

686
00:35:27,200 --> 00:35:30,640
Speaker 2: transmission rates are high or patients are particularly at risk.

687
00:35:31,160 --> 00:35:33,480
Speaker 2: For example, it can make sense to screen all patients

688
00:35:33,520 --> 00:35:36,520
Speaker 2: in a transparent plant or oncology wing of a hospital

689
00:35:36,840 --> 00:35:39,600
Speaker 2: where many patients are high risk for severe COVID, or

690
00:35:39,640 --> 00:35:42,600
Speaker 2: in behavioral facilities where healthcare workers have to be in

691
00:35:42,640 --> 00:35:48,000
Speaker 2: continual close contact with patients. So, yeah, we'll see. But

692
00:35:48,239 --> 00:35:49,840
Speaker 2: I think a lot of this is what's going to

693
00:35:49,920 --> 00:35:53,040
Speaker 2: come to pass, is that people are going to start

694
00:35:53,120 --> 00:35:59,160
Speaker 2: considering the cost benefit analysis of it because the government

695
00:35:59,200 --> 00:36:01,239
Speaker 2: did not, for fun this in perpetuity.

696
00:36:01,800 --> 00:36:02,600
Speaker 3: Yeah, you know who.

697
00:36:02,640 --> 00:36:04,800
Speaker 1: You point your point your fingers at, point your fingers

698
00:36:04,800 --> 00:36:06,719
Speaker 1: at the Democrat. A lot of I mean not the

699
00:36:06,760 --> 00:36:09,800
Speaker 1: Democrats and Republicans, a lot of shit that people complained

700
00:36:09,840 --> 00:36:12,600
Speaker 1: about a lot of times because Republicans they didn't want

701
00:36:12,600 --> 00:36:14,760
Speaker 1: to renew it, they didn't think it was that important.

702
00:36:15,000 --> 00:36:17,839
Speaker 3: They slashed it, they cut it, and shit like that.

703
00:36:18,200 --> 00:36:20,680
Speaker 1: Because all this shit right here, they wouldn't even have

704
00:36:20,719 --> 00:36:23,040
Speaker 1: thought about because they would have got the funded from

705
00:36:23,080 --> 00:36:27,760
Speaker 1: the government. A lot of the things like your jobs

706
00:36:27,800 --> 00:36:30,560
Speaker 1: covering full two weeks without you having to take time off,

707
00:36:31,040 --> 00:36:33,279
Speaker 1: you know, jobs, you're as long as the government was

708
00:36:33,280 --> 00:36:35,480
Speaker 1: paying for it. The minute the government stopped paying for it,

709
00:36:35,480 --> 00:36:38,600
Speaker 1: guess what they stopped like, you know, And these were

710
00:36:38,680 --> 00:36:41,279
Speaker 1: things that were actually good for everybody, you know, it

711
00:36:41,400 --> 00:36:44,720
Speaker 1: kept the numbers down, It kept people safe and things

712
00:36:44,800 --> 00:36:47,600
Speaker 1: like that. But when you have people in power and

713
00:36:47,640 --> 00:36:50,360
Speaker 1: people that vote that actually don't care about the populace

714
00:36:50,480 --> 00:36:52,680
Speaker 1: that they're supposed to be over the safety of the populacet,

715
00:36:52,719 --> 00:36:54,480
Speaker 1: even the people that vote the men, they don't care

716
00:36:54,680 --> 00:36:56,800
Speaker 1: about them because they're vote.

717
00:36:56,600 --> 00:36:57,799
Speaker 3: Populace is dying too.

718
00:36:58,200 --> 00:37:00,200
Speaker 1: So you have a percentage of people telling it I'm

719
00:37:00,200 --> 00:37:01,880
Speaker 1: not to get shots, and then people are like, fuck you,

720
00:37:01,920 --> 00:37:04,279
Speaker 1: I'm not getting a shot no matter what you say.

721
00:37:04,840 --> 00:37:07,400
Speaker 1: You know, I'm anti shot and I'm never going back.

722
00:37:07,680 --> 00:37:10,240
Speaker 1: You know, this is the consequence of repercussion. Like everybody's

723
00:37:10,280 --> 00:37:11,200
Speaker 1: punished because of this.

724
00:37:11,840 --> 00:37:18,160
Speaker 2: Yep, the average lifespan of Americans is now at the

725
00:37:18,200 --> 00:37:22,960
Speaker 2: lowest and nearly two decades it fell the average life

726
00:37:23,080 --> 00:37:29,240
Speaker 2: saying shortened by over seven months last year. The decrease

727
00:37:29,320 --> 00:37:31,840
Speaker 2: follows are already big decline at one point eight years

728
00:37:31,840 --> 00:37:35,040
Speaker 2: and twenty twenty. As a result, the expected lifespan of

729
00:37:35,080 --> 00:37:37,520
Speaker 2: someone born in the US is now seventy six point

730
00:37:37,520 --> 00:37:40,640
Speaker 2: four years, the shortest it has been in nearly two decades.

731
00:37:40,960 --> 00:37:44,000
Speaker 2: The two reports released by the CDC on Thursday show

732
00:37:44,040 --> 00:37:46,680
Speaker 2: depths from COVID nineteen and drug overdoses are the most

733
00:37:46,760 --> 00:37:54,399
Speaker 2: notably and by drug overdose is most notably fitanel where

734
00:37:54,440 --> 00:37:57,680
Speaker 2: the primary drivers are the dropping life expectancy.

735
00:37:58,800 --> 00:38:01,759
Speaker 1: Wow, it's one of the where you go, you hear

736
00:38:02,000 --> 00:38:04,480
Speaker 1: and you're kind of aware, but it's also one of

737
00:38:04,560 --> 00:38:09,239
Speaker 1: those things where COVID is impacting people. And you have

738
00:38:09,360 --> 00:38:12,279
Speaker 1: a lot of people who may have been on the

739
00:38:12,360 --> 00:38:16,040
Speaker 1: verge of a lot of things made mentally and psychologically

740
00:38:16,120 --> 00:38:18,160
Speaker 1: and all types of stuff, and COVID just pushed them over.

741
00:38:18,560 --> 00:38:20,120
Speaker 1: So you have a lot of people deal with a

742
00:38:20,120 --> 00:38:22,920
Speaker 1: lot of stress and death and all these things around them,

743
00:38:22,960 --> 00:38:25,799
Speaker 1: and some people their vices drugs, and so you know,

744
00:38:25,920 --> 00:38:28,560
Speaker 1: you had this in tick, this uptick of a lot

745
00:38:28,600 --> 00:38:32,480
Speaker 1: of this drug abuse that was happening along in combination

746
00:38:32,600 --> 00:38:33,160
Speaker 1: with COVID.

747
00:38:33,719 --> 00:38:36,479
Speaker 2: Yeah, COVID is the third leading cause of death last

748
00:38:36,560 --> 00:38:39,200
Speaker 2: year and the year before it, which is wild because

749
00:38:39,200 --> 00:38:41,239
Speaker 2: it was z you know, it was before that, it

750
00:38:41,280 --> 00:38:45,040
Speaker 2: was zero. And more people died of COVID last year

751
00:38:45,040 --> 00:38:49,279
Speaker 2: than they did the year before, you know. So we'll

752
00:38:49,280 --> 00:38:53,200
Speaker 2: see what twenty twenty two looks like. But so far

753
00:38:53,280 --> 00:38:55,680
Speaker 2: it looks like COVID nineteen deaths are on the dcline,

754
00:38:55,719 --> 00:38:56,600
Speaker 2: which is a good thing.

755
00:38:57,080 --> 00:38:57,759
Speaker 3: That's a good thing.

756
00:38:58,440 --> 00:39:02,840
Speaker 2: But we'll we'll find out, you know, all right. And

757
00:39:02,880 --> 00:39:06,360
Speaker 2: the last article is a Kansas City lawmaker behind in

758
00:39:06,520 --> 00:39:10,640
Speaker 2: God we Trust bill found guilty of COVID relief fraud.

759
00:39:12,480 --> 00:39:16,400
Speaker 2: You don't say Michael Capps, a former Kansas City lawmaker

760
00:39:16,400 --> 00:39:18,359
Speaker 2: who wants sponsor to bill to put the words in

761
00:39:18,400 --> 00:39:21,960
Speaker 2: God we Trust in every federal building, hasn't been found

762
00:39:22,000 --> 00:39:26,239
Speaker 2: guilty of committing COVID relief fraud and money laundering. His

763
00:39:26,360 --> 00:39:28,800
Speaker 2: career wasn't supposed to end this way. In twenty eighteen,

764
00:39:28,800 --> 00:39:31,080
Speaker 2: the Republican was appointed to the Kansas State House and

765
00:39:31,120 --> 00:39:34,320
Speaker 2: won his election bid later that year. Like other members

766
00:39:34,320 --> 00:39:36,279
Speaker 2: of his party, he often he used his time in

767
00:39:36,360 --> 00:39:39,279
Speaker 2: office to push Christianity on everyone and that's why, in

768
00:39:39,280 --> 00:39:42,160
Speaker 2: addition to his anti trans and anti abortion bills, Cap

769
00:39:42,200 --> 00:39:45,279
Speaker 2: sponsored the bill to put in God we trust in

770
00:39:45,320 --> 00:39:50,680
Speaker 2: public buildings, including public schools. I guess he did not.

771
00:39:52,120 --> 00:39:56,239
Speaker 2: There wasn't enough trust going around because he was like

772
00:39:56,480 --> 00:39:59,279
Speaker 2: I said, in God we trust, not me, because then

773
00:39:59,360 --> 00:40:03,320
Speaker 2: he said I'm gonna need these PPP funds, right.

774
00:40:03,200 --> 00:40:06,719
Speaker 3: And something else you bought up that you said as

775
00:40:06,719 --> 00:40:08,440
Speaker 3: a joke. But I do believe this.

776
00:40:08,440 --> 00:40:10,200
Speaker 1: This is why a lot of a lot of those

777
00:40:10,280 --> 00:40:13,680
Speaker 1: people pushed Trump's big lie, and a lot of them

778
00:40:13,840 --> 00:40:16,920
Speaker 1: was kind of yes, I'm going out there and protesting

779
00:40:16,960 --> 00:40:20,080
Speaker 1: because they knew if he did not win, they was

780
00:40:20,120 --> 00:40:22,560
Speaker 1: gonna start investigating. Like a lot of people have had

781
00:40:22,600 --> 00:40:24,520
Speaker 1: their eyes on a lot of these people, they've been

782
00:40:24,520 --> 00:40:28,120
Speaker 1: busting for a very long time. But because of you know,

783
00:40:28,440 --> 00:40:30,799
Speaker 1: the climate and who was in office and things, they

784
00:40:30,880 --> 00:40:32,920
Speaker 1: know if they was to do it, nothing would happen

785
00:40:33,400 --> 00:40:36,440
Speaker 1: and then and they would go free. But now with

786
00:40:36,600 --> 00:40:40,000
Speaker 1: everything quote unquote correcting itself, it was like, oh yeah,

787
00:40:40,000 --> 00:40:43,360
Speaker 1: oh yeah, we can charge you, and we know, uh,

788
00:40:43,360 --> 00:40:45,480
Speaker 1: people gonna have common sense and we ain't gonna have

789
00:40:45,480 --> 00:40:48,520
Speaker 1: to do people fucking protesting and shit like that. So yeah,

790
00:40:48,560 --> 00:40:50,279
Speaker 1: I think for a lot of them, He's not the

791
00:40:50,400 --> 00:40:53,960
Speaker 1: only one. It's gonna be other politicians. It's gonna turn

792
00:40:54,000 --> 00:40:57,080
Speaker 1: around and be busted and go down for like. And

793
00:40:57,120 --> 00:40:59,239
Speaker 1: that's why a lot of them when they did these loans,

794
00:40:59,280 --> 00:41:01,000
Speaker 1: if their gonna had to step in. If it's like,

795
00:41:01,040 --> 00:41:03,280
Speaker 1: y'all spend has got their money, don't sit on it,

796
00:41:03,360 --> 00:41:05,080
Speaker 1: spend it for we told you to spend it on

797
00:41:05,160 --> 00:41:06,759
Speaker 1: and nothing else, you know.

798
00:41:06,760 --> 00:41:07,400
Speaker 3: And shit like that.

799
00:41:07,520 --> 00:41:12,120
Speaker 1: It's like, you know, the money is for relief, for

800
00:41:12,719 --> 00:41:15,920
Speaker 1: rent or whatever it is. Y'all go, we're not doing it.

801
00:41:15,920 --> 00:41:17,719
Speaker 1: We're just gonna sit on it. But shat, we're going

802
00:41:17,800 --> 00:41:20,560
Speaker 1: to spend it on frivolous bullshit. It's not what it's

803
00:41:20,600 --> 00:41:22,719
Speaker 1: supposed to be. We don't take that money back. And

804
00:41:22,719 --> 00:41:24,600
Speaker 1: I don't fucking blame him. Either you lose it or

805
00:41:24,680 --> 00:41:26,239
Speaker 1: you use it or lose it.

806
00:41:26,680 --> 00:41:29,279
Speaker 2: An indictment filed by the United States Attorney's Office for

807
00:41:29,320 --> 00:41:33,440
Speaker 2: the District of Kansas says Caps built federal, federal, state,

808
00:41:33,520 --> 00:41:35,800
Speaker 2: and local agencies for more than four hundred and fifty

809
00:41:35,800 --> 00:41:39,600
Speaker 2: thousand dollars in COVID nineteen business recovery funds. He inflated

810
00:41:39,640 --> 00:41:42,719
Speaker 2: his payroll and applied for loans to pay employees who

811
00:41:42,800 --> 00:41:47,040
Speaker 2: don't exist. The federal indictment says Caps laundered hundreds of

812
00:41:47,120 --> 00:41:50,160
Speaker 2: thousands of dollars in cover relief funding through his business

813
00:41:50,160 --> 00:41:52,520
Speaker 2: and charity between May and August twenty twenty. Here's something

814
00:41:52,560 --> 00:41:57,239
Speaker 2: I gotta say though, You know how it's funny how

815
00:41:57,280 --> 00:42:00,480
Speaker 2: the motherfuckers that always get caught doing this shit are

816
00:42:00,480 --> 00:42:05,600
Speaker 2: the Conservatives. They make the biggest fucking noise about not

817
00:42:05,719 --> 00:42:09,160
Speaker 2: helping anybody, not giving anybody money, and it's because they

818
00:42:09,200 --> 00:42:12,839
Speaker 2: can't be trusted. It's like the person that always thinks

819
00:42:12,840 --> 00:42:14,880
Speaker 2: they're being cheated on because they cheat.

820
00:42:15,880 --> 00:42:16,080
Speaker 3: You know.

821
00:42:16,280 --> 00:42:18,319
Speaker 2: It's like that person they want to go through your

822
00:42:18,360 --> 00:42:19,960
Speaker 2: phone because they phone full of dicks.

823
00:42:20,040 --> 00:42:20,239
Speaker 3: You know.

824
00:42:20,480 --> 00:42:23,719
Speaker 2: Like that's the Republicans with this shit. Like they're the

825
00:42:23,760 --> 00:42:28,200
Speaker 2: ones that are like always out front talking and shit

826
00:42:28,280 --> 00:42:29,520
Speaker 2: and then at the end of the day they got

827
00:42:29,520 --> 00:42:32,799
Speaker 2: a hand behind their back hustling. And I find this

828
00:42:32,880 --> 00:42:36,880
Speaker 2: shit is you know, it's infuriating because that's money that

829
00:42:36,920 --> 00:42:39,279
Speaker 2: could have gone to help people's real businesses or going

830
00:42:39,360 --> 00:42:44,120
Speaker 2: back to the government. And you know, as far as

831
00:42:44,120 --> 00:42:47,840
Speaker 2: he's concerned in God, we trust is for y'all, not me.

832
00:42:48,360 --> 00:42:50,400
Speaker 2: I'm just a criminal, right.

833
00:42:50,280 --> 00:42:52,759
Speaker 1: And also was very very frustrating. And I've said this

834
00:42:52,840 --> 00:42:56,040
Speaker 1: before and I will say this again. There are a

835
00:42:56,280 --> 00:43:01,719
Speaker 1: lot of wonderful businesses that wou that were actually out

836
00:43:01,760 --> 00:43:02,800
Speaker 1: here helping the community.

837
00:43:03,040 --> 00:43:06,719
Speaker 3: A lot of black and brown.

838
00:43:04,600 --> 00:43:09,640
Speaker 1: And and LGBTQ and shit business that closed because they

839
00:43:09,640 --> 00:43:11,520
Speaker 1: couldn't get a hold of none of this money, right,

840
00:43:11,760 --> 00:43:14,080
Speaker 1: and they will never come back and they you will

841
00:43:14,120 --> 00:43:18,200
Speaker 1: never see these businesses again, because motherfuckers was like, we're

842
00:43:18,239 --> 00:43:19,640
Speaker 1: gonna rob all the money.

843
00:43:20,200 --> 00:43:24,400
Speaker 2: CAPS defrauded Enterprise Bank, US Small Business Administration, and Kansas

844
00:43:24,440 --> 00:43:27,080
Speaker 2: Department of Commerce out of three hundred and fifty five

845
00:43:27,440 --> 00:43:30,320
Speaker 2: five hundred and fifty dollars in COVID nineteen relief funds

846
00:43:30,360 --> 00:43:33,600
Speaker 2: that Jerry found. He then transferred the money through businesses

847
00:43:33,600 --> 00:43:36,920
Speaker 2: and personal accounts, including some money that went into investment funds.

848
00:43:37,239 --> 00:43:39,960
Speaker 2: CAPS remains out on bond. Of course, while he o

849
00:43:40,000 --> 00:43:42,640
Speaker 2: wastes his sentencing hearing with the schedule form March tenth,

850
00:43:42,719 --> 00:43:45,000
Speaker 2: he could face millions of dollars in fines and decades

851
00:43:45,040 --> 00:43:45,440
Speaker 2: in prison.

852
00:43:47,080 --> 00:43:49,440
Speaker 1: So yeah, it's just been on somebody's list, and they

853
00:43:49,480 --> 00:43:51,480
Speaker 1: finally was like, all right, bring up the chargers.

854
00:43:51,600 --> 00:43:53,960
Speaker 2: It's just funny how it was always them, you know,

855
00:43:54,400 --> 00:43:58,880
Speaker 2: It's just always them. All right, let's get into some

856
00:43:59,360 --> 00:44:03,400
Speaker 2: some other news. Let's do some uh some regular news

857
00:44:03,440 --> 00:44:09,120
Speaker 2: here on this uh Christmas Eve. Why am I? Why

858
00:44:09,160 --> 00:44:12,239
Speaker 2: am I not getting the beats that are oh okay,

859
00:44:12,239 --> 00:44:15,239
Speaker 2: because I'm in the wrong folder. Yeah, now, let's do

860
00:44:15,280 --> 00:44:46,640
Speaker 2: it all right, regular news, y'all. I think the biggest

861
00:44:46,680 --> 00:44:49,520
Speaker 2: news that we all were kind of looking forward to

862
00:44:49,600 --> 00:44:55,200
Speaker 2: hearing Tory Lanez found guilty of shooting Meghan the Stallion.

863
00:44:58,280 --> 00:45:10,320
Speaker 2: Noh shit, yeah, I mean I think this was obvious.

864
00:45:10,400 --> 00:45:12,240
Speaker 2: I think we've been on this already.

865
00:45:12,560 --> 00:45:15,120
Speaker 3: I told you, what did I tell you? Didn't not

866
00:45:15,320 --> 00:45:16,799
Speaker 3: tell you cause I told you?

867
00:45:17,840 --> 00:45:20,680
Speaker 2: And when did I tell you a long time ago?

868
00:45:20,960 --> 00:45:21,799
Speaker 2: And what did I say?

869
00:45:21,840 --> 00:45:25,040
Speaker 3: What happened? When I told you exactly what just happened.

870
00:45:26,680 --> 00:45:30,120
Speaker 2: So this has been one of these things where I

871
00:45:30,200 --> 00:45:32,480
Speaker 2: know people been going back and forth. I know there's

872
00:45:32,480 --> 00:45:35,400
Speaker 2: been a lot of bad I know there's been people

873
00:45:35,400 --> 00:45:37,279
Speaker 2: that have been defending him. I know there's been people

874
00:45:37,280 --> 00:45:38,799
Speaker 2: that have been attacking her. I know there's been a

875
00:45:38,800 --> 00:45:41,360
Speaker 2: lot of men that don't want to believe her. I

876
00:45:41,360 --> 00:45:44,480
Speaker 2: feel like all this shit. The main thing a lot

877
00:45:44,480 --> 00:45:47,160
Speaker 2: of these people have in common, men women whoever was

878
00:45:47,280 --> 00:45:50,200
Speaker 2: kind of called quote unquote on his side, they just

879
00:45:50,239 --> 00:45:55,359
Speaker 2: have misogynistic views, and that's that's, that's it. I really

880
00:45:55,440 --> 00:45:57,960
Speaker 2: don't think it's any deeper than that. I don't give

881
00:45:57,960 --> 00:46:01,120
Speaker 2: a fuck what kind of platitudes they say, any of

882
00:46:01,160 --> 00:46:05,040
Speaker 2: this shit. The this shit was so open and shut,

883
00:46:05,160 --> 00:46:09,520
Speaker 2: and it was so implausible that this man had any

884
00:46:10,600 --> 00:46:16,000
Speaker 2: case that would make him not the person that shot

885
00:46:16,040 --> 00:46:19,400
Speaker 2: her in the foot. It was so implausible to me.

886
00:46:19,680 --> 00:46:23,759
Speaker 2: I've never even gone back and forth argue with anybody,

887
00:46:24,200 --> 00:46:27,960
Speaker 2: not we haven't highlighted this shit on the show. To me,

888
00:46:28,440 --> 00:46:32,319
Speaker 2: I'm not wasting my energy with these motherfuckers, and honestly, yo,

889
00:46:32,400 --> 00:46:34,840
Speaker 2: ass shouldn't have either. If you been going back and

890
00:46:34,840 --> 00:46:37,359
Speaker 2: forth with these motherfuckers, that's on you for letting them

891
00:46:37,360 --> 00:46:40,359
Speaker 2: get in your peace. Because that case was gonna happen

892
00:46:40,400 --> 00:46:43,000
Speaker 2: in the courtroom with the jury of their peers, and

893
00:46:43,040 --> 00:46:45,200
Speaker 2: not nam motherfucker on the internet was gonna be able

894
00:46:45,239 --> 00:46:48,359
Speaker 2: to change that. And I just could not think of

895
00:46:48,520 --> 00:46:51,759
Speaker 2: any evidence that would be able to be presented that

896
00:46:51,800 --> 00:46:54,640
Speaker 2: would make us be like, oh my god, it was

897
00:46:54,680 --> 00:46:58,680
Speaker 2: a setup. It's a conspiracy to get Tory fucking Lanes,

898
00:46:58,920 --> 00:47:02,000
Speaker 2: a nigga most of us had barely heard of before

899
00:47:02,040 --> 00:47:06,239
Speaker 2: he shot me. So I just wasn't gonna do it,

900
00:47:06,239 --> 00:47:08,440
Speaker 2: and I'm not I didn't yell at nobody that was

901
00:47:08,480 --> 00:47:10,800
Speaker 2: doing it. If that's how you want to spend your time,

902
00:47:10,960 --> 00:47:17,000
Speaker 2: that's cool. I was not gonna do that shit. So, uh,

903
00:47:17,160 --> 00:47:20,080
Speaker 2: I'm not surprised this is the result I always expected.

904
00:47:21,280 --> 00:47:26,120
Speaker 2: The trial was hard to follow because influencer culture so many.

905
00:47:26,040 --> 00:47:30,840
Speaker 1: The news was crazy, like people, it was so wild,

906
00:47:31,200 --> 00:47:33,360
Speaker 1: and it was hard to find not some funny actually

907
00:47:33,440 --> 00:47:37,399
Speaker 1: find good sources that was actually like, y'all, this is.

908
00:47:37,360 --> 00:47:38,080
Speaker 3: Really what happened.

909
00:47:38,120 --> 00:47:42,160
Speaker 2: So I think the judge didn't allow like cameras or

910
00:47:42,160 --> 00:47:47,360
Speaker 2: recording in the courtroom. So everyone I saw that was

911
00:47:47,360 --> 00:47:51,920
Speaker 2: getting their information was getting it third hand through someone

912
00:47:51,920 --> 00:47:54,360
Speaker 2: who went to the courtroom and then got on Twitter

913
00:47:54,440 --> 00:47:58,120
Speaker 2: and then told you what happened. And I saw maybe

914
00:47:58,200 --> 00:48:01,759
Speaker 2: one or two people, and then I turned that shit

915
00:48:01,840 --> 00:48:09,480
Speaker 2: off because it was blatantly self promotional, egregious behavior. It

916
00:48:09,600 --> 00:48:13,520
Speaker 2: was a lot of like, you know, people. There was

917
00:48:13,560 --> 00:48:15,759
Speaker 2: some fucking dude, I don't know if he's white or not.

918
00:48:15,840 --> 00:48:17,880
Speaker 2: He looked like a white dude to me. But they

919
00:48:18,000 --> 00:48:22,520
Speaker 2: kept sending this motherfucker's ship around and he was so messy.

920
00:48:22,800 --> 00:48:25,640
Speaker 2: He would he would be like, guys, like it was

921
00:48:25,680 --> 00:48:27,319
Speaker 2: like that, you know, like, first of all, that's not

922
00:48:27,400 --> 00:48:30,400
Speaker 2: how a fucking reporter or someone reporting on a legal

923
00:48:30,480 --> 00:48:32,879
Speaker 2: case should even be acting like I don't want a

924
00:48:32,920 --> 00:48:35,880
Speaker 2: breathless like what did y'all get a ship? Like I

925
00:48:35,920 --> 00:48:38,880
Speaker 2: don't want that out of a fucking courtroom setting, like

926
00:48:39,200 --> 00:48:41,719
Speaker 2: come come to me with some facts or whatever. But

927
00:48:41,800 --> 00:48:46,319
Speaker 2: it's this is what, in a large way, is the

928
00:48:46,440 --> 00:48:52,200
Speaker 2: TikTok and influencer culture taking over, and people were sharing

929
00:48:52,280 --> 00:48:55,239
Speaker 2: it based on whose side they were on or what

930
00:48:55,280 --> 00:48:58,920
Speaker 2: they wanted to hear, and they were getting content. This

931
00:48:59,000 --> 00:49:01,160
Speaker 2: is that thing I'll say where I feel like events

932
00:49:01,200 --> 00:49:03,680
Speaker 2: happen and that's the sun and the rest of us

933
00:49:03,760 --> 00:49:06,800
Speaker 2: are all just ready getting the radiation and the heat

934
00:49:06,880 --> 00:49:10,040
Speaker 2: off of the event, but we're also trying to reflect it,

935
00:49:10,160 --> 00:49:13,239
Speaker 2: like the moon. We're trying to become our own stars

936
00:49:13,360 --> 00:49:15,680
Speaker 2: off of what happens to other people. And something like

937
00:49:15,719 --> 00:49:20,920
Speaker 2: this is so it's such a tragic, miserable, grief lading

938
00:49:21,040 --> 00:49:25,360
Speaker 2: story that it didn't feel right to be so sensationalistic

939
00:49:25,400 --> 00:49:29,920
Speaker 2: about it, and it's very callous to how people were

940
00:49:30,360 --> 00:49:34,480
Speaker 2: presenting this shit like you know, gosh, oh, I was

941
00:49:34,560 --> 00:49:36,920
Speaker 2: just in there, and so check this out. This is

942
00:49:36,960 --> 00:49:39,600
Speaker 2: what Kelsey said, and I believe her because I mean,

943
00:49:39,640 --> 00:49:41,319
Speaker 2: she did do this. I'm like, what does this have

944
00:49:41,440 --> 00:49:44,960
Speaker 2: to do with anything? What was actually said? What happened?

945
00:49:45,600 --> 00:49:49,000
Speaker 1: Yeah, because my thing is you're dealing with influence of culture.

946
00:49:49,000 --> 00:49:52,440
Speaker 1: They're not fucking journalists, they're not professionals or any of

947
00:49:52,560 --> 00:49:55,600
Speaker 1: that shit. You know, they don't actually do to who

948
00:49:55,640 --> 00:49:57,800
Speaker 1: what when we're why how? They don't answer any of

949
00:49:57,840 --> 00:50:01,359
Speaker 1: those god damn questions. And it's like you good enough

950
00:50:01,360 --> 00:50:04,120
Speaker 1: of them? People in there that comes with their own agendas,

951
00:50:04,160 --> 00:50:06,279
Speaker 1: a lot of them, And what can I say? And

952
00:50:06,320 --> 00:50:10,160
Speaker 1: how sassy can I be to present this versus just

953
00:50:10,200 --> 00:50:12,640
Speaker 1: telling people the motherfucking facts.

954
00:50:12,680 --> 00:50:16,360
Speaker 2: Also, what I could gather from a little bit I

955
00:50:16,400 --> 00:50:22,680
Speaker 2: could gather from people talking about it, it really seemed like, uh,

956
00:50:22,880 --> 00:50:28,680
Speaker 2: people was lying on frivolous shit. But the stuff that

957
00:50:29,239 --> 00:50:36,120
Speaker 2: didn't change was everyone said Toy shot that gun. Yeah.

958
00:50:36,680 --> 00:50:39,120
Speaker 2: It was like I didn't hear anything factually That led

959
00:50:39,160 --> 00:50:41,680
Speaker 2: me to be like, oh, maybe he didn't do it.

960
00:50:42,719 --> 00:50:45,960
Speaker 2: You know, they tried to be like maybe Kelsey, this

961
00:50:46,520 --> 00:50:50,160
Speaker 2: girl who was Megan's oldest friend, and it was some

962
00:50:50,239 --> 00:50:53,879
Speaker 2: messy shit where like she accused Meghan of fucking Tory

963
00:50:54,000 --> 00:50:57,640
Speaker 2: Lanes and she was fucking Tory Lanes or and Tory

964
00:50:57,719 --> 00:51:00,080
Speaker 2: Lane's trying to fuck other people. It wasn't exclusive and

965
00:51:00,200 --> 00:51:04,359
Speaker 2: Meghan lott Meghan Lottter said she wasn't fucking Tory. And

966
00:51:04,360 --> 00:51:06,840
Speaker 2: then they tried to bring up all these other niggas

967
00:51:06,840 --> 00:51:09,160
Speaker 2: in the industry. They swear she was fucking And I said,

968
00:51:09,280 --> 00:51:15,480
Speaker 2: last time I checked, nobody is here for who is Megan?

969
00:51:15,520 --> 00:51:16,280
Speaker 2: Is Stallion fucking?

970
00:51:16,760 --> 00:51:17,040
Speaker 3: I did?

971
00:51:18,080 --> 00:51:20,640
Speaker 2: I understand this is this is a trial about did

972
00:51:20,680 --> 00:51:24,319
Speaker 2: this man shoot her in the fucking foot right? And

973
00:51:24,360 --> 00:51:27,800
Speaker 2: it sound like he did everybody. At the end of

974
00:51:27,880 --> 00:51:30,160
Speaker 2: the day, that's all I cared about. I didn't want

975
00:51:30,160 --> 00:51:33,640
Speaker 2: to get into it. Slept shaming always works on these

976
00:51:33,719 --> 00:51:36,960
Speaker 2: simple minded motherfuckers because they get so caught up in

977
00:51:37,000 --> 00:51:40,200
Speaker 2: the gossip and ship that they be up there arguing

978
00:51:40,239 --> 00:51:44,720
Speaker 2: about you know, honestly, and I hate to both sides

979
00:51:44,680 --> 00:51:46,799
Speaker 2: of it, but it was both sides because if you

980
00:51:46,880 --> 00:51:50,280
Speaker 2: participated in quote unquote defending her, you just as fucking stupid,

981
00:51:50,280 --> 00:51:52,640
Speaker 2: because it's not that's not what the trial's about. It

982
00:51:52,840 --> 00:51:56,120
Speaker 2: just don't matter. She whether she she could have fucked

983
00:51:56,160 --> 00:51:59,959
Speaker 2: everybody on every fucking roster of every it wouldn't matter

984
00:52:00,560 --> 00:52:02,920
Speaker 2: because the trial is about that this man shoe her

985
00:52:03,520 --> 00:52:07,640
Speaker 2: and so I'm not gonna I don't even participate anyway. So, Yeah,

986
00:52:08,480 --> 00:52:12,359
Speaker 2: he was found guilty, and I thought he would be

987
00:52:12,480 --> 00:52:14,640
Speaker 2: and he should be. He seemed like a terrible dude

988
00:52:15,239 --> 00:52:19,239
Speaker 2: bringing his kid there rapping about this shit, and it

989
00:52:19,320 --> 00:52:22,760
Speaker 2: really should wake people up to because this is what happens.

990
00:52:22,840 --> 00:52:26,759
Speaker 2: Y'all have short memories. People have short memories. I don't

991
00:52:26,800 --> 00:52:32,399
Speaker 2: mean to say y'all, people have short memories. Remember these motherfuckers.

992
00:52:33,800 --> 00:52:37,000
Speaker 2: Please do me the favor, do yourself the favor. Remember

993
00:52:37,000 --> 00:52:41,040
Speaker 2: these motherfuckers. That was you know, the low key on

994
00:52:41,080 --> 00:52:44,680
Speaker 2: his side, low key like remember that shit, because I

995
00:52:44,719 --> 00:52:47,480
Speaker 2: don't want to have to be going through this every time. Like,

996
00:52:47,960 --> 00:52:50,520
Speaker 2: just remember these niggas is not really down for the

997
00:52:50,560 --> 00:52:53,200
Speaker 2: calls when it comes down to it. They were stretching

998
00:52:53,239 --> 00:52:57,000
Speaker 2: and flexing and coming up with conspiracy theories. And I'm

999
00:52:57,000 --> 00:52:59,120
Speaker 2: not even trying. I'm not gonna stretch it into because

1000
00:52:59,160 --> 00:53:01,719
Speaker 2: I think people did too much with like so and

1001
00:53:01,760 --> 00:53:03,960
Speaker 2: so was listening to his music. I'm like, if we

1002
00:53:04,080 --> 00:53:07,600
Speaker 2: had to stop listening to every criminal or misogynist or whatever,

1003
00:53:07,640 --> 00:53:09,960
Speaker 2: the fuck, get the fuck out of here. I know

1004
00:53:10,000 --> 00:53:12,640
Speaker 2: you mad, and you're trying to catch the hate high

1005
00:53:12,640 --> 00:53:15,000
Speaker 2: wave and find somebody to get down with hating people,

1006
00:53:15,000 --> 00:53:16,759
Speaker 2: But y'all not even gonna remember that shit in a month.

1007
00:53:17,400 --> 00:53:20,680
Speaker 2: Y'all not gonna keep that same intensity. So let's just

1008
00:53:20,719 --> 00:53:23,840
Speaker 2: stop with that part. But the people that was actually

1009
00:53:23,920 --> 00:53:26,000
Speaker 2: supporting this man and shit, I hope people remember the

1010
00:53:26,040 --> 00:53:30,120
Speaker 2: gossip blogs that support it and said his side of things,

1011
00:53:30,160 --> 00:53:31,920
Speaker 2: whether they were paid to do it or whether they

1012
00:53:31,960 --> 00:53:35,920
Speaker 2: did it for the salacious tweets and re replies. Remember

1013
00:53:35,960 --> 00:53:40,440
Speaker 2: that shit. Don't support those blogs anymore. I think that

1014
00:53:40,480 --> 00:53:43,080
Speaker 2: would go a long way to stop a lot of

1015
00:53:43,120 --> 00:53:45,360
Speaker 2: this shit. Is you stop putting money in their pocket

1016
00:53:45,960 --> 00:53:50,480
Speaker 2: by reacting and interacting with everything they do. Because when

1017
00:53:50,480 --> 00:53:53,239
Speaker 2: they report on the next gossip thing that you don't

1018
00:53:53,239 --> 00:53:55,720
Speaker 2: really have a stake in and you back to sharing

1019
00:53:55,760 --> 00:53:58,879
Speaker 2: that shit, then you didn't do nothing but fucking hip

1020
00:53:58,920 --> 00:54:01,160
Speaker 2: hop unlocks work or whatever the fuck.

1021
00:54:01,280 --> 00:54:04,960
Speaker 1: So yeah, and it's also one of those things too,

1022
00:54:05,120 --> 00:54:08,319
Speaker 1: particularly with the verdict. That shit was all over the

1023
00:54:08,360 --> 00:54:11,360
Speaker 1: place because they were actually articles that came out and

1024
00:54:11,400 --> 00:54:13,880
Speaker 1: it was like he's not guilty, and people was like,

1025
00:54:14,440 --> 00:54:17,080
Speaker 1: did you even pay attention to what the fuck the

1026
00:54:17,120 --> 00:54:19,600
Speaker 1: people said? And people had to come out but like

1027
00:54:19,760 --> 00:54:23,480
Speaker 1: that's not true. He's been found guilty. These are the

1028
00:54:23,480 --> 00:54:25,880
Speaker 1: things like they actually laid it out, but people actually

1029
00:54:26,040 --> 00:54:29,120
Speaker 1: quote unquote breaking news. It was like he was not

1030
00:54:29,239 --> 00:54:31,880
Speaker 1: found guilty. And that is the motherfucking problem. That's what

1031
00:54:32,000 --> 00:54:34,800
Speaker 1: happens when you get these people in there with the

1032
00:54:34,880 --> 00:54:37,040
Speaker 1: agendas and the don't give fuck about facts.

1033
00:54:37,680 --> 00:54:43,480
Speaker 2: She testified that he shot her. Tory Lanz didn't even testify.

1034
00:54:44,560 --> 00:54:48,520
Speaker 2: The people that his defense team brought up there all

1035
00:54:48,600 --> 00:54:53,520
Speaker 2: testified he shot that gun. The one woman, Kelsey pleaded

1036
00:54:53,560 --> 00:54:58,480
Speaker 2: the fifth which only means she can be implicated in something,

1037
00:54:58,640 --> 00:55:01,800
Speaker 2: but doesn't mean she shot men. And she wasn't on trial,

1038
00:55:03,440 --> 00:55:08,840
Speaker 2: So that's it, you know. Tory Lane's father apparently reacted

1039
00:55:08,880 --> 00:55:15,160
Speaker 2: to the verdict by, I don't know, calling on Jesus

1040
00:55:15,160 --> 00:55:19,480
Speaker 2: some ship because they I guess they get religious. Oh shit,

1041
00:55:19,640 --> 00:55:21,160
Speaker 2: I just remember y'all might not be able to hear this.

1042
00:55:21,160 --> 00:55:24,279
Speaker 2: Hold on, give me a second, like his father. There

1043
00:55:24,320 --> 00:55:27,239
Speaker 2: is one of them people that got gets. Honestly, him

1044
00:55:27,280 --> 00:55:30,360
Speaker 2: and Tory they got religious after they fuck up because

1045
00:55:30,400 --> 00:55:33,560
Speaker 2: Tory Lanez also had tweeted out some shit about how

1046
00:55:33,600 --> 00:55:36,520
Speaker 2: no God, there's my witness, no weapon formed against me

1047
00:55:37,000 --> 00:55:40,600
Speaker 2: shall prosper. That everybody was dunking on that tweet, including me.

1048
00:55:40,800 --> 00:55:44,719
Speaker 2: I made my own thread. It was hilarious. It's like,

1049
00:55:44,760 --> 00:55:47,040
Speaker 2: no weapon faming against me, shall prosper. And I put

1050
00:55:47,080 --> 00:55:49,400
Speaker 2: like a gift for the constructor cons coming together, like

1051
00:55:49,400 --> 00:55:54,200
Speaker 2: oh they they forming the wonder twins powers activating. And

1052
00:55:54,280 --> 00:55:58,640
Speaker 2: I was like, oh, these weapons they forming and prospering.

1053
00:55:59,800 --> 00:56:06,080
Speaker 2: But yeah, this is his father. I just stood here

1054
00:56:06,719 --> 00:56:10,680
Speaker 2: in this Los Angeles County and witness the worst miss

1055
00:56:10,719 --> 00:56:13,200
Speaker 2: collage of Okay, first of all, why his mama got

1056
00:56:13,239 --> 00:56:19,439
Speaker 2: a tweety bird dress on ww? Is that? What's going

1057
00:56:19,480 --> 00:56:20,840
Speaker 2: on with that twitty bird dress?

1058
00:56:21,280 --> 00:56:21,680
Speaker 3: Mm? Hmm?

1059
00:56:22,560 --> 00:56:24,440
Speaker 2: Is it because her son looked like tweety bird and

1060
00:56:24,480 --> 00:56:28,399
Speaker 2: they the same height or like, I don't know, very

1061
00:56:28,400 --> 00:56:30,200
Speaker 2: interesting the worst mis.

1062
00:56:30,120 --> 00:56:32,120
Speaker 1: Kept seeing the clips, but this is my first time

1063
00:56:32,200 --> 00:56:33,120
Speaker 1: actually hearing it.

1064
00:56:33,200 --> 00:56:34,920
Speaker 3: I was I just was like okay, and I just

1065
00:56:35,000 --> 00:56:38,279
Speaker 3: kept a pushing collage of justice that this world has

1066
00:56:38,440 --> 00:56:39,000
Speaker 3: ever seen.

1067
00:56:39,320 --> 00:56:41,480
Speaker 1: You want to know how I feel, I'll tell you

1068
00:56:41,560 --> 00:56:43,200
Speaker 1: exactly how I feeld I got some.

1069
00:56:43,760 --> 00:56:47,359
Speaker 2: The miscarriage of justice this world has ever seen. Bro,

1070
00:56:48,440 --> 00:56:52,560
Speaker 2: your son shot a woman in the foot? Your son

1071
00:56:52,640 --> 00:56:54,040
Speaker 2: shot a woman in the foot? Bro.

1072
00:56:54,880 --> 00:56:58,560
Speaker 1: Okay, they actually had to get the doctor that actually

1073
00:56:58,600 --> 00:57:06,000
Speaker 1: removes the bullets, yeah, segments out of her feet, because

1074
00:57:06,080 --> 00:57:08,480
Speaker 1: they was like she got cut on the ground. The

1075
00:57:08,920 --> 00:57:12,200
Speaker 1: doctor was like, no, I actually form surgery. I'm the

1076
00:57:12,239 --> 00:57:15,400
Speaker 1: one who did this. She had bullet fragments in her feet.

1077
00:57:15,920 --> 00:57:20,960
Speaker 2: This Tory lanes is the herschel Walker of defendants. What

1078
00:57:21,040 --> 00:57:24,400
Speaker 2: I mean by that? You know how hershel Walker got

1079
00:57:24,400 --> 00:57:29,400
Speaker 2: fifty percent to vote almost and he's a terrible candidate.

1080
00:57:30,680 --> 00:57:33,000
Speaker 2: So the only thing I'm left to believe is that

1081
00:57:33,880 --> 00:57:36,800
Speaker 2: fifty people in Georgia hate niggas so much they vote

1082
00:57:36,840 --> 00:57:42,360
Speaker 2: for Hershelwalker. He's not a good candidate, but you do

1083
00:57:42,400 --> 00:57:47,160
Speaker 2: hate niggas, right, That's how it feels with this shit,

1084
00:57:47,400 --> 00:57:51,480
Speaker 2: like you hate women. Tory Lanez is not a good defendant.

1085
00:57:52,120 --> 00:57:54,000
Speaker 2: He don't have a good case, He don't have a

1086
00:57:54,000 --> 00:57:56,640
Speaker 2: good argument. We don't have no reason to think he

1087
00:57:56,720 --> 00:58:01,800
Speaker 2: getting framed or it's a conspiracy and yet ain't yet

1088
00:58:02,120 --> 00:58:05,480
Speaker 2: half you motherfuckers out here, like Free Tory. You know

1089
00:58:05,960 --> 00:58:08,640
Speaker 2: how you're gonna separate a black man from his son.

1090
00:58:09,040 --> 00:58:14,240
Speaker 2: I don't know. Maybe don't try shooting motherfuckers. You know,

1091
00:58:14,680 --> 00:58:17,160
Speaker 2: I'm gonna get to the last to the prison abolitionist

1092
00:58:17,160 --> 00:58:20,680
Speaker 2: in a second too, because they deserve some heat. Yes, yes,

1093
00:58:20,760 --> 00:58:22,520
Speaker 2: you can't get ahead of this, but let's go ahead

1094
00:58:22,520 --> 00:58:23,400
Speaker 2: and get back to this clip.

1095
00:58:23,600 --> 00:58:26,080
Speaker 3: Things that don't want to call Alice Spirill.

1096
00:58:26,880 --> 00:58:31,040
Speaker 2: That's right for us. I know, whole wicked system of

1097
00:58:31,280 --> 00:58:35,640
Speaker 2: rock nation, including you jay Z. Now why is jay

1098
00:58:35,720 --> 00:58:36,200
Speaker 2: Z in it?

1099
00:58:37,320 --> 00:58:41,840
Speaker 3: What? What? Who? I'm confused? He was the down trial.

1100
00:58:42,360 --> 00:58:43,320
Speaker 3: I don't I don't get it.

1101
00:58:43,720 --> 00:58:46,160
Speaker 2: And honestly, like another thing I seen that I thought

1102
00:58:46,200 --> 00:58:50,240
Speaker 2: was extremely hypocritical at shortsighted and kind of stupid because

1103
00:58:50,280 --> 00:58:52,320
Speaker 2: people have been turning this into a gender war and

1104
00:58:52,320 --> 00:58:54,960
Speaker 2: people have been fighting between black men and women all day.

1105
00:58:55,400 --> 00:58:56,920
Speaker 2: A lot of people are trying to point out like

1106
00:58:57,320 --> 00:58:59,959
Speaker 2: and jay Z didn't even say anything during the trial,

1107
00:59:00,760 --> 00:59:04,240
Speaker 2: And I kept thinking like and neither did Beyonce, and

1108
00:59:04,360 --> 00:59:08,840
Speaker 2: neither did Rihanna, and neither did like like like, it's

1109
00:59:08,880 --> 00:59:12,000
Speaker 2: a lot of people that didn't say shit, because at

1110
00:59:12,040 --> 00:59:14,000
Speaker 2: the end of the day, what they say does not

1111
00:59:14,320 --> 00:59:17,720
Speaker 2: fucking change the facts of the case period. Like you're

1112
00:59:17,760 --> 00:59:20,680
Speaker 2: gonna see a lot of people now that will say like, yeah,

1113
00:59:20,840 --> 00:59:23,640
Speaker 2: this nigga need to go jail, or maybe they support

1114
00:59:23,680 --> 00:59:26,480
Speaker 2: her privately or whatever, as it's their fucking business, by

1115
00:59:26,520 --> 00:59:30,400
Speaker 2: the way. But like, that's one of my issues with

1116
00:59:30,440 --> 00:59:35,920
Speaker 2: social media and Twitter is we value the tweet and

1117
00:59:36,040 --> 00:59:39,280
Speaker 2: the publics quote unquote support way more than we value

1118
00:59:39,320 --> 00:59:43,680
Speaker 2: actual support, actual work, the private things people do the

1119
00:59:43,760 --> 00:59:47,280
Speaker 2: money for all we know, Rock Nation could be paying

1120
00:59:47,280 --> 00:59:50,360
Speaker 2: for her legal defense and we'd still be like, or

1121
00:59:50,400 --> 00:59:52,200
Speaker 2: her for her for the you know, they could be

1122
00:59:52,200 --> 00:59:55,120
Speaker 2: paying for her support in some type of way and

1123
00:59:55,160 --> 00:59:57,200
Speaker 2: we still would be like, well, if they didn't tweet

1124
00:59:57,240 --> 00:59:59,840
Speaker 2: it, it don't count, you know. Like that shit was weird

1125
00:59:59,840 --> 01:00:02,000
Speaker 2: to me. Is once again another reason I didn't feel

1126
01:00:02,000 --> 01:00:04,400
Speaker 2: like talking about this shit online because of people get

1127
01:00:04,440 --> 01:00:06,960
Speaker 2: mad about the wrong ship all the time.

1128
01:00:07,480 --> 01:00:10,040
Speaker 3: Pouring your energy into something that don't matter.

1129
01:00:10,000 --> 01:00:13,280
Speaker 2: Right, you know, like motherfucker's tweetshit and do backhanded shit

1130
01:00:13,640 --> 01:00:17,200
Speaker 2: all every day. Like whatever you do, yes, you who

1131
01:00:17,280 --> 01:00:20,240
Speaker 2: say your roles from the color, but you have trained

1132
01:00:20,440 --> 01:00:23,800
Speaker 2: and charged the soul of young men.

1133
01:00:24,320 --> 01:00:27,080
Speaker 1: And you're still doing it.

1134
01:00:27,240 --> 01:00:32,760
Speaker 2: The only independent witness in this courtroom is a man

1135
01:00:33,080 --> 01:00:35,120
Speaker 2: whose name is Sean Kelly.

1136
01:00:35,720 --> 01:00:38,880
Speaker 3: He came to court and our Johnny's.

1137
01:00:39,320 --> 01:00:41,280
Speaker 2: He would not even shake their hand.

1138
01:00:41,480 --> 01:00:47,240
Speaker 6: After he went upstairs with toughty talk and Alex Bought gave.

1139
01:00:48,760 --> 01:00:49,960
Speaker 3: All the witness.

1140
01:00:51,040 --> 01:00:52,720
Speaker 2: All I say is that this little nigga ain't have

1141
01:00:52,760 --> 01:00:56,160
Speaker 2: a chance. Okay, yeah, if this is his parents, then

1142
01:00:56,160 --> 01:00:59,080
Speaker 2: there's no way this motherfucker had a chance at life.

1143
01:00:59,240 --> 01:00:59,320
Speaker 1: Now.

1144
01:01:00,280 --> 01:01:04,120
Speaker 2: But oh okay, let me refresh real quick, or no,

1145
01:01:04,520 --> 01:01:06,680
Speaker 2: let me tell my camera. I didn't I didn't know

1146
01:01:06,720 --> 01:01:15,800
Speaker 2: it turned off. Oh huh okay, okay, yeah that was interesting.

1147
01:01:15,800 --> 01:01:19,600
Speaker 2: I didn't turn it off, it just did it you. Okay, Well,

1148
01:01:19,840 --> 01:01:22,040
Speaker 2: but yeah, this little nigga I never had a chance because,

1149
01:01:22,080 --> 01:01:25,400
Speaker 2: like I can just think if this would have been

1150
01:01:25,440 --> 01:01:29,800
Speaker 2: me that did something this egregious and horrible, I know

1151
01:01:29,880 --> 01:01:32,760
Speaker 2: my parents would support me, like my father, my mom.

1152
01:01:32,800 --> 01:01:37,480
Speaker 2: I expect that they would be there, but they would

1153
01:01:37,520 --> 01:01:41,480
Speaker 2: absolutely not be out here yelling as bullshit if I

1154
01:01:41,520 --> 01:01:45,120
Speaker 2: did this. They like, you know, like good people fuck

1155
01:01:45,200 --> 01:01:50,400
Speaker 2: up and make mistakes, sometimes horrible mistakes, but we're not

1156
01:01:50,480 --> 01:01:53,360
Speaker 2: required to turn them into the victims of their own mistakes.

1157
01:01:53,400 --> 01:01:55,600
Speaker 2: This nigga is reaping what he sold.

1158
01:01:56,480 --> 01:02:00,720
Speaker 1: Yes, And the thing is, people like you said that

1159
01:02:00,800 --> 01:02:03,880
Speaker 1: short term memory. You do know, we didn't even have

1160
01:02:03,920 --> 01:02:07,400
Speaker 1: to have a trial, right, you do know we we

1161
01:02:07,440 --> 01:02:10,320
Speaker 1: could have skipped all of this if that nigga would

1162
01:02:10,320 --> 01:02:11,320
Speaker 1: have just shut the fuck up.

1163
01:02:11,880 --> 01:02:16,680
Speaker 2: She was protecting him from day one, and he decided

1164
01:02:16,800 --> 01:02:20,480
Speaker 2: to get ahead of this ship by And that's another

1165
01:02:20,520 --> 01:02:23,320
Speaker 2: thing these So Megan, the Stallion's legal team is looking

1166
01:02:23,360 --> 01:02:27,959
Speaker 2: into sewing these fucking bloggers. Yeah, and I don't blame them,

1167
01:02:28,240 --> 01:02:32,480
Speaker 2: not one fucking bit, because from day one, the blogs

1168
01:02:32,520 --> 01:02:35,760
Speaker 2: are part of the reason the black culturalsite guys turned

1169
01:02:35,760 --> 01:02:38,760
Speaker 2: this into like a maybe she did set them up,

1170
01:02:38,800 --> 01:02:41,920
Speaker 2: you know, like because and it was early, it was

1171
01:02:41,960 --> 01:02:44,840
Speaker 2: evidence early when I believe her when she said, like,

1172
01:02:44,920 --> 01:02:48,720
Speaker 2: he's paying bloggers to basically slander me and make me

1173
01:02:48,760 --> 01:02:52,320
Speaker 2: seem like a liar. And this is before she even

1174
01:02:52,800 --> 01:02:54,919
Speaker 2: she wasn't even cooperating with the police at the time,

1175
01:02:56,120 --> 01:03:01,880
Speaker 2: And so I would not find it hard to believe

1176
01:03:02,040 --> 01:03:04,360
Speaker 2: that the reason this is fifty to fifty on the

1177
01:03:04,400 --> 01:03:07,000
Speaker 2: blogs is because he was still paying them off or

1178
01:03:07,040 --> 01:03:09,880
Speaker 2: they still had favors in. I wouldn't be surprised if

1179
01:03:09,920 --> 01:03:13,080
Speaker 2: that's that's what happened. So I'd love to see them

1180
01:03:13,080 --> 01:03:14,520
Speaker 2: sue and get to the bottom of this because a

1181
01:03:14,520 --> 01:03:16,440
Speaker 2: lot of these niggas need to be ashamed of themselves.

1182
01:03:18,480 --> 01:03:23,240
Speaker 2: So yeah, and then let me make sure I got

1183
01:03:23,280 --> 01:03:25,840
Speaker 2: all the angles I wanted to cover before I get

1184
01:03:25,840 --> 01:03:31,160
Speaker 2: into the last one. Oh yeah. Joe Budden apologized to

1185
01:03:31,240 --> 01:03:34,800
Speaker 2: Megan the Stallion because he went on his podcast and

1186
01:03:34,840 --> 01:03:41,440
Speaker 2: said some sideways shit about her, basically making it seem like,

1187
01:03:43,280 --> 01:03:46,760
Speaker 2: what was it saying like people in the industry don't

1188
01:03:46,880 --> 01:03:52,120
Speaker 2: like her and it's because she was Uh, he didn't

1189
01:03:52,200 --> 01:03:56,680
Speaker 2: like her either, like her because he said, I stand

1190
01:03:56,720 --> 01:03:58,760
Speaker 2: in my dislike for the girl personally, I've seen this

1191
01:03:58,800 --> 01:04:01,360
Speaker 2: woman do horrible things some really great people that I

1192
01:04:01,360 --> 01:04:04,960
Speaker 2: have long standing relationships within the industry, so I'm biased.

1193
01:04:05,080 --> 01:04:07,520
Speaker 2: You can't just treat my friends of people like people

1194
01:04:07,560 --> 01:04:09,560
Speaker 2: I fuck with and people I've seen in this game

1195
01:04:09,600 --> 01:04:12,040
Speaker 2: for fifteen years a certain way. I'm talking about her

1196
01:04:12,160 --> 01:04:14,240
Speaker 2: what she's chosen to professionally, I want to be clear,

1197
01:04:14,520 --> 01:04:16,560
Speaker 2: I don't know her as a person. She could be amazing,

1198
01:04:16,600 --> 01:04:19,040
Speaker 2: but there's a lot to deal with when you sign,

1199
01:04:19,280 --> 01:04:23,760
Speaker 2: and a lot of happens fast, and so obviously people

1200
01:04:23,920 --> 01:04:26,080
Speaker 2: took offense to that it's in the middle of her trial,

1201
01:04:27,480 --> 01:04:30,960
Speaker 2: and you know, since Joe Budden is a well known

1202
01:04:31,040 --> 01:04:37,120
Speaker 2: intersectional feminist, they were shocked. But yeah, he apologized because

1203
01:04:37,120 --> 01:04:42,320
Speaker 2: he said people basically guided him privately women that he

1204
01:04:42,400 --> 01:04:45,720
Speaker 2: knows and shit, And he says, I'm apologizing for the

1205
01:04:45,760 --> 01:04:47,880
Speaker 2: careless manner in which I joked about her mental health.

1206
01:04:48,160 --> 01:04:50,200
Speaker 2: That didn't sit right in my soul and my spirit.

1207
01:04:50,240 --> 01:04:52,439
Speaker 2: That's not funny, because whether you believe her or don't

1208
01:04:52,480 --> 01:04:55,480
Speaker 2: believe her, you can afford Can you afford to be wrong?

1209
01:04:55,560 --> 01:05:02,600
Speaker 1: The answer is no, Yeah, because the thing is, particularly

1210
01:05:03,200 --> 01:05:10,520
Speaker 1: when it comes, you know, to him, it's like, well,

1211
01:05:11,000 --> 01:05:14,920
Speaker 1: if Megan the Stallion was this terrible person, I think

1212
01:05:14,960 --> 01:05:17,040
Speaker 1: we would have heard about that by now. Like I'm

1213
01:05:17,040 --> 01:05:19,800
Speaker 1: not trying to like like she's interacted with too many

1214
01:05:19,920 --> 01:05:24,800
Speaker 1: people and she's been around for too long for everybody

1215
01:05:24,920 --> 01:05:25,560
Speaker 1: be like she's just.

1216
01:05:25,560 --> 01:05:29,680
Speaker 3: A horrible, terrible person.

1217
01:05:31,080 --> 01:05:34,000
Speaker 1: And it's not the fact that she's perfect or anything

1218
01:05:34,040 --> 01:05:35,840
Speaker 1: like that. No, it's just for the fact.

1219
01:05:35,640 --> 01:05:39,120
Speaker 2: That it could also just be that Joe Budden has

1220
01:05:39,120 --> 01:05:43,840
Speaker 2: a fucking well known history of misogyny, right, I mean,

1221
01:05:43,880 --> 01:05:46,600
Speaker 2: it ain't that damn complex. He always saying the wrong shit,

1222
01:05:47,160 --> 01:05:51,120
Speaker 2: you know, Like I've always been surprised by I forget

1223
01:05:51,160 --> 01:05:53,520
Speaker 2: what company is like hat trying to our heart media

1224
01:05:53,560 --> 01:05:56,360
Speaker 2: put him in charge or something, and I'm like, that

1225
01:05:56,840 --> 01:06:00,160
Speaker 2: is the racism, that's the bigotry of lower expectation. It's

1226
01:06:00,240 --> 01:06:03,160
Speaker 2: just the borrophrase from the Black Republicans, because I'm like,

1227
01:06:03,400 --> 01:06:05,720
Speaker 2: if this was a white man saying shit like this

1228
01:06:06,000 --> 01:06:07,840
Speaker 2: and being in charge of that division, y'all would have

1229
01:06:07,840 --> 01:06:09,880
Speaker 2: been yanked him about of that seat, like, hey man,

1230
01:06:09,960 --> 01:06:12,760
Speaker 2: you can't be in charge of other people's careers and

1231
01:06:13,040 --> 01:06:15,520
Speaker 2: treat women like this and talk like this on your show,

1232
01:06:16,520 --> 01:06:19,760
Speaker 2: knowing that we got employees that have to listen to

1233
01:06:19,840 --> 01:06:22,720
Speaker 2: what you say, you know, But they still put his

1234
01:06:22,800 --> 01:06:25,640
Speaker 2: ass on there anyway because they don't really care. It's

1235
01:06:25,680 --> 01:06:30,160
Speaker 2: like Nick Cannon and shit anyway. YouTubers at Campbell called

1236
01:06:30,160 --> 01:06:33,040
Speaker 2: out for dismissing Meghan at the Stallion's testimony against Tory

1237
01:06:33,120 --> 01:06:38,240
Speaker 2: Lanez because of her zodiac sign. These motherfuckers really play

1238
01:06:38,600 --> 01:06:39,919
Speaker 2: fast and loose with this shit.

1239
01:06:40,080 --> 01:06:44,800
Speaker 3: Man, You playing and shit m hm.

1240
01:06:46,120 --> 01:06:48,720
Speaker 2: He deleted the Twitter video but he accused Meghan and

1241
01:06:48,880 --> 01:06:52,200
Speaker 2: using the case for sympathy, knowing in Aquarius. I feel

1242
01:06:52,200 --> 01:06:54,400
Speaker 2: bad for you, but are you using this for sympathy?

1243
01:06:54,560 --> 01:06:55,040
Speaker 1: He said.

1244
01:06:57,080 --> 01:06:59,720
Speaker 2: A TikTok user who examined each of Campbell's points found

1245
01:06:59,760 --> 01:07:02,000
Speaker 2: at hard to believe the pundit link the testimony to

1246
01:07:02,560 --> 01:07:07,040
Speaker 2: Meghan's star sign while dismissing her story. When Campbell wondered

1247
01:07:07,040 --> 01:07:09,440
Speaker 2: if Meghan is truly the victim in all this, the

1248
01:07:09,480 --> 01:07:12,120
Speaker 2: TikTok used a fireback reminded him that the twenty seven

1249
01:07:12,200 --> 01:07:14,440
Speaker 2: year old was shot either way, whether it was her

1250
01:07:14,480 --> 01:07:17,160
Speaker 2: friend Kelsey Harris or Lanz who fired the gun, she

1251
01:07:17,320 --> 01:07:19,240
Speaker 2: was shot. Someone had to shoot her, whether it was

1252
01:07:19,320 --> 01:07:22,080
Speaker 2: Kelly or a Tory or both, she was shot. She

1253
01:07:22,160 --> 01:07:24,200
Speaker 2: is the victim. Campbell continued to dig himself into a

1254
01:07:24,200 --> 01:07:26,560
Speaker 2: hole when he said Meghan had too many inconsistencies in

1255
01:07:26,600 --> 01:07:29,880
Speaker 2: her story. The only lie you gotta speak of is

1256
01:07:29,920 --> 01:07:32,720
Speaker 2: Meghan saying she didn't sleep with Tory. The TikTok uses

1257
01:07:32,760 --> 01:07:35,280
Speaker 2: set in response. Meanwhile, the man toy uses a witness

1258
01:07:35,320 --> 01:07:37,160
Speaker 2: gotta understand to confirm that Tory had the gun and

1259
01:07:37,160 --> 01:07:38,360
Speaker 2: shot it four or five times.

1260
01:07:39,000 --> 01:07:41,520
Speaker 3: Because most people didn't follow the fucking case, right.

1261
01:07:42,440 --> 01:07:47,240
Speaker 2: Right, So yeah, he deleted the video, but it looks

1262
01:07:47,360 --> 01:07:50,880
Speaker 2: this it is. I think people try to turn it

1263
01:07:50,960 --> 01:07:53,920
Speaker 2: into like a straight black men are trying to attack

1264
01:07:54,040 --> 01:07:55,840
Speaker 2: Megan Stey And I'm sure there was a shit ton

1265
01:07:55,920 --> 01:07:58,800
Speaker 2: of that. I'm not knocking that at all, But it

1266
01:07:58,960 --> 01:08:02,240
Speaker 2: was bigger than just that. It was I've been seeing

1267
01:08:02,320 --> 01:08:05,880
Speaker 2: other women. I saw a woman called I saw a

1268
01:08:05,920 --> 01:08:12,720
Speaker 2: woman called Tory lanez Emmitt till today, nigga, what open

1269
01:08:12,800 --> 01:08:16,720
Speaker 2: a book? Watch the movie? The movie came out this ship,

1270
01:08:16,760 --> 01:08:20,639
Speaker 2: watched the movie? What are you talking about? Every nigga

1271
01:08:20,680 --> 01:08:21,920
Speaker 2: lose the court case? Not m two?

1272
01:08:22,600 --> 01:08:22,760
Speaker 3: Right?

1273
01:08:23,120 --> 01:08:26,559
Speaker 2: What the fuck is happening this? You know, I believe

1274
01:08:26,600 --> 01:08:29,320
Speaker 2: this dude is gay. You know, there's there's But that's

1275
01:08:29,360 --> 01:08:31,200
Speaker 2: the other thing with the blogs and stuff. A lot

1276
01:08:31,280 --> 01:08:33,640
Speaker 2: of that space in the stand culture and stuff is

1277
01:08:33,760 --> 01:08:37,559
Speaker 2: a very like queer space and a very like women's space,

1278
01:08:38,040 --> 01:08:41,000
Speaker 2: and it's messy and it's still misogynistic, and it still

1279
01:08:41,040 --> 01:08:43,400
Speaker 2: can be anti black. But a lot of the motherfuckers

1280
01:08:43,479 --> 01:08:46,280
Speaker 2: profiting off of it are trying to just be contrarian

1281
01:08:46,960 --> 01:08:50,000
Speaker 2: and be like, I'm gonna be the person that I'm

1282
01:08:50,040 --> 01:08:52,840
Speaker 2: gonna be the person that says Megan did do this,

1283
01:08:52,960 --> 01:08:55,200
Speaker 2: because a lot of that shit is staying wars and

1284
01:08:55,720 --> 01:08:57,800
Speaker 2: I'm a Nicki Minaj fan, I'm of this person fan.

1285
01:08:57,880 --> 01:09:01,320
Speaker 2: It's like, it's very fucking weird and it's not a

1286
01:09:01,400 --> 01:09:04,040
Speaker 2: place we should really get news from. It's not vetted

1287
01:09:04,120 --> 01:09:07,160
Speaker 2: or source and in many cases they don't know the rules,

1288
01:09:07,200 --> 01:09:09,599
Speaker 2: which is why the fuck some of these motherfuckers about

1289
01:09:09,600 --> 01:09:10,439
Speaker 2: to end up in court.

1290
01:09:11,160 --> 01:09:13,160
Speaker 3: Yep, because they don't know the rules.

1291
01:09:13,240 --> 01:09:16,520
Speaker 1: If you are a real journalist, there's checks and balances

1292
01:09:16,560 --> 01:09:18,320
Speaker 1: to that shit, and you can't be out here just

1293
01:09:18,400 --> 01:09:20,120
Speaker 1: saying any and everything.

1294
01:09:20,680 --> 01:09:26,400
Speaker 2: It's crazy, man, these motherfuckers are anyway. But yeah, that's

1295
01:09:26,439 --> 01:09:29,280
Speaker 2: so a lot of these bloggers and stuff. I really

1296
01:09:29,360 --> 01:09:33,439
Speaker 2: do want to see somebody go into their their history

1297
01:09:33,479 --> 01:09:36,080
Speaker 2: of really get to like the money and where it's

1298
01:09:36,120 --> 01:09:38,120
Speaker 2: coming from and why they saying what they saying, because

1299
01:09:39,080 --> 01:09:40,680
Speaker 2: I do not find it hard to believe that these

1300
01:09:40,760 --> 01:09:45,640
Speaker 2: motherfuckers are getting paid somehow, some way. The last thing

1301
01:09:45,680 --> 01:09:47,400
Speaker 2: I was gonna say is I saw people trying to

1302
01:09:47,560 --> 01:09:50,320
Speaker 2: deflect this they new way of trying to get ahead

1303
01:09:50,320 --> 01:09:55,040
Speaker 2: of the legitimate criticism of this shit. But I saw

1304
01:09:55,040 --> 01:09:57,639
Speaker 2: a lot of people being like oh so, yeah, here,

1305
01:09:57,720 --> 01:09:59,439
Speaker 2: y'all go trying to be like, just because you are

1306
01:09:59,680 --> 01:10:02,760
Speaker 2: prison an abolitionists, you want to see Tory Lanz go

1307
01:10:02,840 --> 01:10:07,160
Speaker 2: to jail. Well, oh so so, y'all y'all gonna point

1308
01:10:07,240 --> 01:10:10,559
Speaker 2: that out with that old bullshit, And I'm like, it's

1309
01:10:10,680 --> 01:10:19,479
Speaker 2: not bullshit, right, every every victim is somebody's Megan a Stallion.

1310
01:10:21,160 --> 01:10:23,679
Speaker 2: What happens with all this shit is that it lives

1311
01:10:23,800 --> 01:10:30,240
Speaker 2: in theory, but in fucking practice, it don't work. A

1312
01:10:30,360 --> 01:10:32,960
Speaker 2: lot of these motherfuckers think the sounding empathetic when they're

1313
01:10:33,000 --> 01:10:38,040
Speaker 2: really sounding callous where they do the like, listen, if

1314
01:10:38,120 --> 01:10:40,600
Speaker 2: someone is sexually assaulted, that doesn't mean they want that

1315
01:10:40,680 --> 01:10:42,880
Speaker 2: person to go to jail. Yeah, but in a lot

1316
01:10:42,920 --> 01:10:46,639
Speaker 2: of times they do mean that. And you don't get

1317
01:10:46,680 --> 01:10:49,280
Speaker 2: to just fucking decide because you want to signify like

1318
01:10:49,360 --> 01:10:52,920
Speaker 2: you're a better person than me, like because the shit

1319
01:10:53,000 --> 01:10:55,320
Speaker 2: that reveals the real truth you and shit like this,

1320
01:10:55,520 --> 01:10:59,559
Speaker 2: when you actually can identify with this black woman when

1321
01:10:59,600 --> 01:11:03,120
Speaker 2: you met some people have made a personality out of

1322
01:11:03,200 --> 01:11:06,800
Speaker 2: following her work and out of making her feel like

1323
01:11:07,000 --> 01:11:10,080
Speaker 2: she's making it seem like she's the representation for them

1324
01:11:10,160 --> 01:11:11,599
Speaker 2: and who they want to be and what they want

1325
01:11:11,600 --> 01:11:13,960
Speaker 2: to see in the world. Nothing wrong with that, but

1326
01:11:14,600 --> 01:11:18,000
Speaker 2: something happened to her, and now all of a sudden,

1327
01:11:18,040 --> 01:11:21,479
Speaker 2: it's like if something happened to someone you love, something

1328
01:11:21,560 --> 01:11:25,120
Speaker 2: you someone happened to somebody you care about. Something happened

1329
01:11:25,120 --> 01:11:28,760
Speaker 2: to somebody who was not just a theory, but they're

1330
01:11:28,760 --> 01:11:32,800
Speaker 2: a person, and you can't hold the fiction in your

1331
01:11:32,920 --> 01:11:37,040
Speaker 2: heart that these type of things should just be done

1332
01:11:37,080 --> 01:11:42,880
Speaker 2: away with that people like Tory Lanez don't exist. Unrepentant recidivist.

1333
01:11:43,880 --> 01:11:48,200
Speaker 2: You know, people that are will refuse to even admit

1334
01:11:48,280 --> 01:11:52,320
Speaker 2: they did something wrong. Do you refuse to admit these

1335
01:11:52,320 --> 01:11:56,240
Speaker 2: people exist? So you pain everybody into this. You know,

1336
01:11:57,000 --> 01:12:00,160
Speaker 2: it's all rehabilitation, it's all good, it's all that. I

1337
01:12:00,240 --> 01:12:03,800
Speaker 2: saw another person say, imagine how bad Tory Lanes must

1338
01:12:03,880 --> 01:12:08,400
Speaker 2: be if all these prison abolitionists are wanting him to

1339
01:12:08,439 --> 01:12:10,840
Speaker 2: go to jail. And I said, nigga, if you don't

1340
01:12:10,880 --> 01:12:14,600
Speaker 2: shut the fuck up, y'all have been telling me the

1341
01:12:14,680 --> 01:12:17,040
Speaker 2: worst of the worst people should not be in jail.

1342
01:12:18,640 --> 01:12:21,200
Speaker 2: Tory Lanes ain't even the worst of the worst. What

1343
01:12:21,320 --> 01:12:24,160
Speaker 2: he did is fucked up. It is not worse than

1344
01:12:25,160 --> 01:12:29,320
Speaker 2: murder and rape and shit that these other motherfuckers did

1345
01:12:29,479 --> 01:12:33,519
Speaker 2: do and yet y'all want him to go to jail.

1346
01:12:33,720 --> 01:12:35,600
Speaker 2: And it reminds me of that podcast I listened to.

1347
01:12:35,680 --> 01:12:38,600
Speaker 2: I forget which one it was, Please don't email me

1348
01:12:38,600 --> 01:12:40,799
Speaker 2: because I don't remember, and I don't remember what episode

1349
01:12:40,800 --> 01:12:45,280
Speaker 2: I said it on, but it was either The Gray

1350
01:12:45,400 --> 01:12:48,760
Speaker 2: Area or Ezra Klein podcast, one of those two. And

1351
01:12:48,840 --> 01:12:51,920
Speaker 2: it's very old. It's from earlier this year. But he

1352
01:12:52,080 --> 01:12:54,639
Speaker 2: talked to an actual person that was a prison abolition.

1353
01:12:54,760 --> 01:12:57,559
Speaker 2: It's justice, you know, like person that wanted to overhaul

1354
01:12:57,600 --> 01:13:01,040
Speaker 2: the justice system. And she was saying one of the

1355
01:13:01,320 --> 01:13:04,439
Speaker 2: toughest parts things that makes it tough for her is

1356
01:13:04,520 --> 01:13:07,679
Speaker 2: that the people on the internet are not they're being

1357
01:13:07,880 --> 01:13:12,600
Speaker 2: silly with these concepts that are real. Yeah, And she

1358
01:13:12,880 --> 01:13:17,720
Speaker 2: was saying how a lot of them will dismiss the

1359
01:13:18,000 --> 01:13:22,680
Speaker 2: real community harm that is happening when people are not

1360
01:13:23,320 --> 01:13:26,760
Speaker 2: being forced to at least pay for their crimes. And

1361
01:13:26,880 --> 01:13:30,640
Speaker 2: she said the reason that they are more hard on

1362
01:13:30,760 --> 01:13:34,479
Speaker 2: a celebrity for tweeting the wrong thing will follow this

1363
01:13:34,600 --> 01:13:38,600
Speaker 2: nigga to the end of the earth. Some actor they

1364
01:13:38,640 --> 01:13:40,600
Speaker 2: don't like. Every time they pop up, they gonna be

1365
01:13:40,680 --> 01:13:45,160
Speaker 2: on their ass. But when someone does a real crime,

1366
01:13:45,760 --> 01:13:48,400
Speaker 2: they don't they consider that we should move turn the

1367
01:13:48,439 --> 01:13:51,280
Speaker 2: other cheek, move the other way, look away, let you know.

1368
01:13:51,520 --> 01:13:54,920
Speaker 2: And she said the reason is because they're more living

1369
01:13:55,160 --> 01:13:58,200
Speaker 2: on the internet. The Internet crime is real to them.

1370
01:13:58,560 --> 01:14:01,759
Speaker 2: Elon Musk is more real to them for sucking up Twitter.

1371
01:14:03,400 --> 01:14:07,000
Speaker 2: Then then someone who murdered seven people in the sleep,

1372
01:14:07,120 --> 01:14:09,960
Speaker 2: you know, like that that person is a theory And

1373
01:14:10,120 --> 01:14:12,640
Speaker 2: I thought, that is That's what I've been experiencing. And

1374
01:14:12,760 --> 01:14:15,600
Speaker 2: she put words to it, and so, yeah, if you

1375
01:14:15,800 --> 01:14:19,360
Speaker 2: are team Tory Lanes got to go to jail. But

1376
01:14:20,200 --> 01:14:23,840
Speaker 2: y'all tripping on anybody else going to jail, you are hypocrite.

1377
01:14:23,920 --> 01:14:26,080
Speaker 2: And listen, welcome to the club. Everybody's a bit of

1378
01:14:26,080 --> 01:14:29,040
Speaker 2: a hypocrite. Don't even like, I'm not even sure why

1379
01:14:29,200 --> 01:14:31,960
Speaker 2: you're why you're trying to get ahead of this. Maybe

1380
01:14:32,160 --> 01:14:35,479
Speaker 2: embrace that, except that, like, okay, I get it now,

1381
01:14:35,880 --> 01:14:39,320
Speaker 2: I see where you're coming from. When you see someone

1382
01:14:39,400 --> 01:14:41,320
Speaker 2: do something egregious and you're like, that motherfucker should go

1383
01:14:41,360 --> 01:14:44,479
Speaker 2: to jail, maybe we can all identify that level of

1384
01:14:44,600 --> 01:14:47,080
Speaker 2: some level, you know, and then instead of trying to

1385
01:14:47,120 --> 01:14:50,160
Speaker 2: pretend that impost doesn't exist, you can hone it down

1386
01:14:50,200 --> 01:14:54,320
Speaker 2: into something that's more reflective of a fair justice system,

1387
01:14:54,400 --> 01:14:57,160
Speaker 2: because even the utopia you think you're creating gonna need

1388
01:14:57,200 --> 01:15:00,840
Speaker 2: a justice system every SoC I already got to put

1389
01:15:01,000 --> 01:15:04,720
Speaker 2: some people who harm people and don't and will not

1390
01:15:04,880 --> 01:15:08,599
Speaker 2: stop somewhere. So yeah, I just found that that shit

1391
01:15:08,840 --> 01:15:13,040
Speaker 2: was so funny seeing them try to like adjust their

1392
01:15:13,280 --> 01:15:18,200
Speaker 2: very public anti punishment stash a stance to this shit

1393
01:15:18,240 --> 01:15:20,040
Speaker 2: where they want this nigga to go to jail forever.

1394
01:15:21,280 --> 01:15:23,400
Speaker 1: Right, let me know, I'm about to say something, but

1395
01:15:23,520 --> 01:15:25,800
Speaker 1: let me know if I'm using this word correctly. I

1396
01:15:25,920 --> 01:15:28,680
Speaker 1: think a lot of this stuff with Tory Lanes and

1397
01:15:28,800 --> 01:15:33,240
Speaker 1: Megan A. Stallion, in my opinion, was a big thing

1398
01:15:33,320 --> 01:15:35,200
Speaker 1: about parasocial relationships.

1399
01:15:36,640 --> 01:15:39,040
Speaker 3: And I think that for a lot of people.

1400
01:15:40,080 --> 01:15:42,679
Speaker 1: They have all these connections and these feelings and things

1401
01:15:42,760 --> 01:15:46,720
Speaker 1: like that, and they're just projecting off of these relationships

1402
01:15:46,800 --> 01:15:50,800
Speaker 1: that are not as deep and real. And I think

1403
01:15:50,920 --> 01:15:52,960
Speaker 1: that that's where the fighting comes in, That's where the

1404
01:15:53,040 --> 01:15:56,280
Speaker 1: back and forth comes in. That's where, all of a sudden,

1405
01:15:56,880 --> 01:16:00,280
Speaker 1: Tory Lane's child is your child, you know, all of

1406
01:16:00,320 --> 01:16:04,320
Speaker 1: a sudden, you know, you know Megan is that MEGANI

1407
01:16:04,400 --> 01:16:08,880
Speaker 1: Stallion represents, you know, something bigger than what it actually is.

1408
01:16:09,320 --> 01:16:12,280
Speaker 1: I think a lot of this and and once I

1409
01:16:12,520 --> 01:16:14,880
Speaker 1: really analyzed that, I think a lot of the back

1410
01:16:14,920 --> 01:16:18,000
Speaker 1: and forth, particularly with celebrities. It all boils down the

1411
01:16:18,040 --> 01:16:21,639
Speaker 1: pair of social relationships. People have blended that shit together

1412
01:16:22,640 --> 01:16:25,080
Speaker 1: and they don't know where to draw lines and have

1413
01:16:25,240 --> 01:16:30,439
Speaker 1: realistic boundaries and expectations. So when something happens like you said,

1414
01:16:30,439 --> 01:16:31,920
Speaker 1: they take the ship to heart, like the ship is

1415
01:16:31,960 --> 01:16:32,920
Speaker 1: actually happening to them.

1416
01:16:33,560 --> 01:16:36,720
Speaker 2: Yes, yes, that's what it is, and it makes sense Okay.

1417
01:16:36,720 --> 01:16:38,479
Speaker 3: Because I was thinking, I was like, that's the only

1418
01:16:38,520 --> 01:16:39,200
Speaker 3: thing that makes sense.

1419
01:16:39,360 --> 01:16:43,480
Speaker 2: Well, that's the thing though. They're talking about your parasocial

1420
01:16:43,479 --> 01:16:46,800
Speaker 2: relationships and I'm at which it already skes me out.

1421
01:16:46,880 --> 01:16:53,200
Speaker 2: But what about they didn't disregard people's actual real relationships. Yes,

1422
01:16:53,800 --> 01:16:56,439
Speaker 2: it's so weird. It is opposite land, you know what

1423
01:16:56,479 --> 01:16:59,960
Speaker 2: I'm saying. Like, it's where if someone would have harm

1424
01:17:00,600 --> 01:17:04,320
Speaker 2: my family and I were to want that person to

1425
01:17:04,400 --> 01:17:07,520
Speaker 2: go to jail, they would make some type of rhetorical

1426
01:17:07,680 --> 01:17:10,680
Speaker 2: argument that made me seem like a savage. But if

1427
01:17:10,720 --> 01:17:13,519
Speaker 2: someone were to harm Meghan d Stina, who they don't

1428
01:17:13,560 --> 01:17:17,240
Speaker 2: fucking know, right, they want that person to go to

1429
01:17:17,320 --> 01:17:21,000
Speaker 2: prison forever because it it's a pair of social relationship.

1430
01:17:21,040 --> 01:17:25,120
Speaker 2: You said it perfectly. It just it reminds me of

1431
01:17:25,240 --> 01:17:30,479
Speaker 2: the Kendrick Lamar song. You XX actually says, let somebody

1432
01:17:30,520 --> 01:17:32,400
Speaker 2: touch my mama, touch my sister, touch my woman, touched

1433
01:17:32,439 --> 01:17:34,080
Speaker 2: my daddy, touched my knees, touch my deah, you touch

1434
01:17:34,120 --> 01:17:36,600
Speaker 2: my brother. You should chip a nigga. Then throw the

1435
01:17:36,640 --> 01:17:38,200
Speaker 2: blow in this lap. Matter of fact, I'm about to

1436
01:17:38,200 --> 01:17:39,880
Speaker 2: speak of this convention, call you back. And then he

1437
01:17:40,000 --> 01:17:44,120
Speaker 2: goes and speaks to the kids about how uh he

1438
01:17:44,240 --> 01:17:47,720
Speaker 2: wants to talk to them about gun control. That's what

1439
01:17:47,880 --> 01:17:51,280
Speaker 2: Twitter's like to me. It is, you know, it is

1440
01:17:51,640 --> 01:17:54,040
Speaker 2: where it's like, it's the you know, it's it's we

1441
01:17:54,280 --> 01:17:57,080
Speaker 2: in public were talking about gun control and love and

1442
01:17:57,479 --> 01:18:02,800
Speaker 2: and and and and change in the justice system. But

1443
01:18:02,920 --> 01:18:05,559
Speaker 2: in private, when they go low, we want to put

1444
01:18:05,640 --> 01:18:07,120
Speaker 2: them under six feet under, you know.

1445
01:18:08,040 --> 01:18:08,240
Speaker 3: Yeah.

1446
01:18:08,320 --> 01:18:12,439
Speaker 1: And the thing is people act like human beings aren't complex,

1447
01:18:12,840 --> 01:18:13,400
Speaker 1: because we are.

1448
01:18:13,520 --> 01:18:15,080
Speaker 3: We are very very complex.

1449
01:18:15,560 --> 01:18:18,240
Speaker 1: And people want, particularly the Internet, want to make everything

1450
01:18:18,320 --> 01:18:20,519
Speaker 1: black and white because black and white is easy, right.

1451
01:18:20,640 --> 01:18:23,880
Speaker 1: Black and white is you check the boxes. Black and

1452
01:18:24,000 --> 01:18:26,960
Speaker 1: white is you know you full or against? And they

1453
01:18:27,040 --> 01:18:29,400
Speaker 1: want everything to be that simple. They don't want anything

1454
01:18:29,439 --> 01:18:31,360
Speaker 1: to be in the gray area because the gray area

1455
01:18:31,479 --> 01:18:34,080
Speaker 1: means you have to actually have a conversation and it

1456
01:18:34,120 --> 01:18:36,400
Speaker 1: would calm a lot of the fighting down. But I think,

1457
01:18:36,800 --> 01:18:40,519
Speaker 1: like everything else, Olne just period, a lot of people

1458
01:18:40,560 --> 01:18:43,800
Speaker 1: will never admit they are addicted to the arguing. They

1459
01:18:43,840 --> 01:18:46,240
Speaker 1: are addicted to the back and forth. They are addicted

1460
01:18:46,280 --> 01:18:48,840
Speaker 1: to the interaction because for a lot of people, with

1461
01:18:48,960 --> 01:18:51,919
Speaker 1: the trial, for some people, this is the most interaction

1462
01:18:52,040 --> 01:18:54,439
Speaker 1: that they've had back and forth a very long time.

1463
01:18:54,680 --> 01:18:56,240
Speaker 3: Because a lot of people kind of stay out of

1464
01:18:56,280 --> 01:18:56,760
Speaker 3: certain shit.

1465
01:18:56,840 --> 01:18:59,400
Speaker 1: But there was an awesome black shitter oohso besides in

1466
01:18:59,439 --> 01:19:02,040
Speaker 1: the shit ooh, I can you know a pro woman

1467
01:19:02,080 --> 01:19:04,760
Speaker 1: shit or whatever it is they chose to do a

1468
01:19:04,840 --> 01:19:06,679
Speaker 1: lot of people that have been quiet on the internet

1469
01:19:06,960 --> 01:19:11,120
Speaker 1: jumped in because like, this shit was motherfucking everywhere on.

1470
01:19:11,200 --> 01:19:14,160
Speaker 3: Facebook, Twitter, and it didn't matter what social media site

1471
01:19:14,200 --> 01:19:14,640
Speaker 3: you was on.

1472
01:19:15,240 --> 01:19:18,920
Speaker 1: The people, the bitches was talking, the niggas was talking,

1473
01:19:19,080 --> 01:19:21,799
Speaker 1: everybody had something to say, and everybody had an opinion

1474
01:19:21,880 --> 01:19:23,960
Speaker 1: about it. And I think that has to do with

1475
01:19:24,120 --> 01:19:27,240
Speaker 1: a lot of people never admit that they are addicted

1476
01:19:27,680 --> 01:19:31,200
Speaker 1: to to this back and forth they're addicted to the

1477
01:19:31,560 --> 01:19:33,760
Speaker 1: gender wars, which is a big one of my big

1478
01:19:33,840 --> 01:19:36,400
Speaker 1: pet peeves and abusee turn off to me when it

1479
01:19:36,439 --> 01:19:38,040
Speaker 1: comes to social media. I don't give a fuck about

1480
01:19:38,080 --> 01:19:40,960
Speaker 1: gender wars because that's what everything boils down to gender,

1481
01:19:41,479 --> 01:19:44,320
Speaker 1: where it's more complex than gender. But people want to

1482
01:19:44,360 --> 01:19:46,880
Speaker 1: do gender because it simplifies things. You could pick a

1483
01:19:47,040 --> 01:19:49,960
Speaker 1: side and call it a day, and then just pointlessly

1484
01:19:50,360 --> 01:19:53,320
Speaker 1: and meanlessly and uselessly argue with.

1485
01:19:53,479 --> 01:19:56,559
Speaker 3: Everybody, And there's a lot of people underneath the sound

1486
01:19:56,600 --> 01:19:57,160
Speaker 3: of my voice.

1487
01:19:57,560 --> 01:20:00,800
Speaker 1: You need to stop arguing with people on. People don't

1488
01:20:00,800 --> 01:20:02,600
Speaker 1: want to hear that. You need to stop it. You

1489
01:20:02,680 --> 01:20:04,479
Speaker 1: know it's not good for your health. You know it's

1490
01:20:04,520 --> 01:20:08,439
Speaker 1: not good for you mentally. You're tired, you your blood

1491
01:20:08,479 --> 01:20:12,559
Speaker 1: pressure going up. It's all you talk about. Stop arguing

1492
01:20:12,680 --> 01:20:15,519
Speaker 1: with people online. Uh.

1493
01:20:15,720 --> 01:20:21,519
Speaker 2: In the other news, Tray Songs surrenders to police over

1494
01:20:21,680 --> 01:20:25,360
Speaker 2: bowling alley assault on a woman. Speaking of racking up

1495
01:20:25,439 --> 01:20:30,360
Speaker 2: quite the speaking of a racking up quite the reputation.

1496
01:20:30,439 --> 01:20:32,040
Speaker 2: I mean, how many times is this man gonna end

1497
01:20:32,120 --> 01:20:35,519
Speaker 2: up being accused of doing something to a woman. I mean,

1498
01:20:35,560 --> 01:20:37,280
Speaker 2: what happened at the Bowlerllege. They must have tried to

1499
01:20:37,280 --> 01:21:02,439
Speaker 2: cut them off. Right, sir, it's now two am. We

1500
01:21:02,479 --> 01:21:06,439
Speaker 2: gotta start closing up the lanes. I'm sorry. We gotta

1501
01:21:06,520 --> 01:21:08,240
Speaker 2: we gotta let you. We gotta get you out of here, sir.

1502
01:21:09,200 --> 01:21:11,720
Speaker 2: I'm gonna eat your bowling shoes. Back Lane twelve is

1503
01:21:11,800 --> 01:21:13,519
Speaker 2: not closed. We're gonna go ahead and hit the switch

1504
01:21:13,600 --> 01:21:13,840
Speaker 2: on that.

1505
01:21:16,280 --> 01:21:16,400
Speaker 3: Off.

1506
01:21:16,439 --> 01:21:22,760
Speaker 2: I'm going to funk crazy, understand, h I think that's

1507
01:21:22,800 --> 01:21:26,000
Speaker 2: what happened. I think that's what happened to the it'sn't

1508
01:21:26,000 --> 01:21:28,040
Speaker 2: a Reportali occurred inside of one of the bathrooms at

1509
01:21:28,040 --> 01:21:34,360
Speaker 2: the establishment with Trade Songs. Real name Tremaine never Son. Damn,

1510
01:21:34,479 --> 01:21:39,560
Speaker 2: that's an accurate That is an accurate ass name, Tremaine

1511
01:21:39,720 --> 01:21:44,200
Speaker 2: never Son. That I mean, I would never Son.

1512
01:21:44,760 --> 01:21:47,639
Speaker 3: Most names are like their nicknames are so far from

1513
01:21:47,720 --> 01:21:48,479
Speaker 3: like their real name.

1514
01:21:48,520 --> 01:21:50,559
Speaker 2: There was like, well, that's not what I'm talking about.

1515
01:21:50,560 --> 01:21:52,680
Speaker 2: I'm not saying how it sounds like Trey Songs. I'm

1516
01:21:52,720 --> 01:21:56,760
Speaker 2: saying never Son sounds exactly like what the fuck he

1517
01:21:56,880 --> 01:22:03,200
Speaker 2: says when you ask him to like calm down, like, hey,

1518
01:22:03,360 --> 01:22:06,840
Speaker 2: can you please not touch the ladiest to night never Son.

1519
01:22:08,400 --> 01:22:10,439
Speaker 2: The lady is gonna be safe around you at this party.

1520
01:22:11,800 --> 01:22:16,240
Speaker 2: Never son. Well, then, Uh, I think you had enough drinks.

1521
01:22:16,240 --> 01:22:17,439
Speaker 2: We're gonna have to ask you to get out of here.

1522
01:22:17,439 --> 01:22:18,559
Speaker 2: I'm sorry I had to cut.

1523
01:22:18,439 --> 01:22:22,080
Speaker 3: You off, me off. I'm going to crazy, understand.

1524
01:22:22,920 --> 01:22:27,320
Speaker 2: Oh okay, okay, give them some more drinks. He allegedly

1525
01:22:27,360 --> 01:22:29,639
Speaker 2: punched the female victim repeated and dragged it by the hair.

1526
01:22:29,720 --> 01:22:32,360
Speaker 2: She was taken to the hospital and treated for visible,

1527
01:22:32,600 --> 01:22:35,519
Speaker 2: minor injuries. It was later reported there was a second victim,

1528
01:22:35,520 --> 01:22:37,320
Speaker 2: of male who claims Tray punched him in the eye.

1529
01:22:37,600 --> 01:22:40,599
Speaker 2: The man refused medical treatment. The singer's attorney, Mitch Schuster

1530
01:22:41,240 --> 01:22:43,720
Speaker 2: what has denied the allegations, while claiming his client has

1531
01:22:43,760 --> 01:22:47,800
Speaker 2: been cooperative with law enforcement. He's faced several physical and

1532
01:22:47,840 --> 01:22:50,760
Speaker 2: sexual assault cases over the past few years. However, most

1533
01:22:50,800 --> 01:22:53,080
Speaker 2: of the allegations were dismissed either by the victim themselves

1534
01:22:53,120 --> 01:22:56,880
Speaker 2: or boy the judges beside and over the various cases. So,

1535
01:22:57,560 --> 01:22:59,840
Speaker 2: I guess we'll see if this one sticks.

1536
01:23:01,160 --> 01:23:01,320
Speaker 5: Uh.

1537
01:23:01,840 --> 01:23:03,519
Speaker 2: I'm just trying not to cut them off. I guess,

1538
01:23:04,120 --> 01:23:07,600
Speaker 2: uh tomorrow tomorrow. Braxton rushed to the hospital on the

1539
01:23:07,640 --> 01:23:12,120
Speaker 2: ambulance while battling the flu Oh no, you do not

1540
01:23:12,360 --> 01:23:15,840
Speaker 2: want this, she said, I heard this year.

1541
01:23:15,880 --> 01:23:17,519
Speaker 1: They said, the strain of the flu is off the

1542
01:23:17,680 --> 01:23:20,519
Speaker 1: chain because you know, it's been a second feudal to

1543
01:23:20,640 --> 01:23:24,120
Speaker 1: the COVID and flu said guess who's back, but back

1544
01:23:24,160 --> 01:23:26,360
Speaker 1: to back, back, nigga, y'all in each other's faces, and

1545
01:23:26,479 --> 01:23:26,920
Speaker 1: I'm back.

1546
01:23:27,840 --> 01:23:32,640
Speaker 2: Yeah, yeah, she said. This isn't an attention post. This

1547
01:23:32,800 --> 01:23:36,000
Speaker 2: is an attention post. Literally. I was with my best

1548
01:23:36,080 --> 01:23:40,160
Speaker 2: friend at Norman somebody in water blah blah blah, shopping

1549
01:23:40,240 --> 01:23:43,280
Speaker 2: and doing Christmas fun shit, and very next day I

1550
01:23:43,360 --> 01:23:45,400
Speaker 2: had to be taken to the hospital by ambulance, needed

1551
01:23:45,439 --> 01:23:47,679
Speaker 2: oxygen because I thought God was taking me home because

1552
01:23:47,680 --> 01:23:50,120
Speaker 2: I could not breathe and my chest was on fire.

1553
01:23:52,320 --> 01:23:55,200
Speaker 2: She said, I wasn't. I wasn't around a lot of people.

1554
01:23:55,400 --> 01:23:57,559
Speaker 2: I have no idea where it came from. Enjoy y'all

1555
01:23:57,600 --> 01:23:59,479
Speaker 2: holiday at home. You don't want this.

1556
01:24:00,640 --> 01:24:01,120
Speaker 3: Mm hmmm.

1557
01:24:01,280 --> 01:24:03,679
Speaker 1: I get my COVID shot, I get my flu shot,

1558
01:24:03,880 --> 01:24:06,160
Speaker 1: two in one. Fuck that bullshit.

1559
01:24:06,640 --> 01:24:08,600
Speaker 2: Yeah, And I think a lot of people are just

1560
01:24:08,680 --> 01:24:10,760
Speaker 2: trying to get out and hang out and it's just

1561
01:24:11,760 --> 01:24:12,439
Speaker 2: it's dangerous.

1562
01:24:13,760 --> 01:24:13,880
Speaker 1: Uh.

1563
01:24:14,439 --> 01:24:18,760
Speaker 2: The TSA finds a disassembled gun in jars of peanut butter.

1564
01:24:22,120 --> 01:24:27,000
Speaker 2: What Yeah, Uh, they were screening some check baggage. When

1565
01:24:27,080 --> 01:24:29,800
Speaker 2: one of the bags triggered in alarm. The officer opened

1566
01:24:29,840 --> 01:24:34,160
Speaker 2: the bag and found two plastic jars of creamy peanut butter.

1567
01:24:34,720 --> 01:24:38,519
Speaker 2: Upon closer inspection, they found parts of a disassembled semi

1568
01:24:38,600 --> 01:24:42,839
Speaker 2: automatic handgun hidden inside. The gun magazine was loaded with bullets.

1569
01:24:44,000 --> 01:24:47,240
Speaker 3: God damn in the peanut butter. The peanut butter dangerous now.

1570
01:24:47,640 --> 01:24:50,559
Speaker 2: I guess. So somebody's about to get get shot up

1571
01:24:50,560 --> 01:24:56,160
Speaker 2: in a jiffy, about to be in.

1572
01:24:56,160 --> 01:25:03,080
Speaker 3: A sticky situation. Somebody's about the.

1573
01:25:03,120 --> 01:25:09,880
Speaker 2: Thread of old thing thick and kreamy and chunky. How

1574
01:25:09,960 --> 01:25:14,599
Speaker 2: you won't it chunky or crunchy or smooth?

1575
01:25:18,960 --> 01:25:20,320
Speaker 3: What a tasty way to die.

1576
01:25:20,360 --> 01:25:26,000
Speaker 2: Apparently things could have went a jar. You know, man,

1577
01:25:26,920 --> 01:25:27,600
Speaker 2: My thing is.

1578
01:25:28,200 --> 01:25:30,400
Speaker 3: They really thought the peanut butter's gonna come up.

1579
01:25:30,400 --> 01:25:33,080
Speaker 2: The metal I guess that maybe they're trying to trick

1580
01:25:33,160 --> 01:25:35,400
Speaker 2: the dogs. But it's like, you know, they got that skinner,

1581
01:25:36,240 --> 01:25:36,800
Speaker 2: not the dogs.

1582
01:25:36,840 --> 01:25:38,600
Speaker 3: They're trying to trick the metal detective.

1583
01:25:38,640 --> 01:25:41,880
Speaker 2: That's what I'm saying. Like, like, maybe the peanut butter's

1584
01:25:41,880 --> 01:25:43,880
Speaker 2: that tricked the dogs, you know, because they can't smell

1585
01:25:43,960 --> 01:25:44,320
Speaker 2: the gun.

1586
01:25:44,600 --> 01:25:46,720
Speaker 3: Okay, but you can't ta. Yeah.

1587
01:25:46,840 --> 01:25:48,760
Speaker 2: Don't you know what, Karen, this is so illogical. I

1588
01:25:48,800 --> 01:25:51,640
Speaker 2: don't know, because I think I'm thinking about drugs. I'm

1589
01:25:51,640 --> 01:25:54,519
Speaker 2: thinking about drug sniffing dogs, not even I don't think

1590
01:25:54,560 --> 01:25:56,200
Speaker 2: dog sniff guns, So what do I know?

1591
01:25:56,880 --> 01:25:59,679
Speaker 1: Wouldn't be surprised dogs and sniff anything, would be surprised

1592
01:25:59,720 --> 01:26:01,200
Speaker 1: if sniff guns.

1593
01:26:01,240 --> 01:26:04,799
Speaker 2: They did track the traveler down and arrest him, of course,

1594
01:26:05,840 --> 01:26:08,000
Speaker 2: but first they said his bags went to the wrong airport.

1595
01:26:08,080 --> 01:26:09,519
Speaker 2: He had to wait a date. And I'm just kidding.

1596
01:26:14,160 --> 01:26:15,559
Speaker 2: Let's see what else is happening in.

1597
01:26:17,160 --> 01:26:19,040
Speaker 3: Peanut butter expired. It was a whole thing.

1598
01:26:19,120 --> 01:26:21,519
Speaker 2: It was a whole thing. A man with a World

1599
01:26:21,560 --> 01:26:24,519
Speaker 2: War One explosive lodged in his rectum sparks a bomb

1600
01:26:24,600 --> 01:26:30,400
Speaker 2: scare in the hospital evacuation. A man with a World

1601
01:26:30,439 --> 01:26:34,240
Speaker 2: War One explosive lodged in his rectum sparks, bomb scare,

1602
01:26:34,880 --> 01:26:35,880
Speaker 2: hospital evacuation.

1603
01:26:36,800 --> 01:26:38,240
Speaker 3: How how did it get there?

1604
01:26:38,800 --> 01:26:44,519
Speaker 2: French hospital was partially evacuated Saturday after senior citizen arrived

1605
01:26:44,600 --> 01:26:47,639
Speaker 2: with a World War One artillery shell lodged in his rectum.

1606
01:26:48,800 --> 01:26:52,479
Speaker 2: The eighty eight year old patient visited Hospital Sant Moose

1607
01:26:52,800 --> 01:26:57,719
Speaker 2: in Toulon to have the antique explosive removed but instead

1608
01:26:57,840 --> 01:27:02,320
Speaker 2: sparked a bomb scare. Now I get that you're a surgeon,

1609
01:27:02,439 --> 01:27:07,519
Speaker 2: but now you gotta be a fucking person that disarms bombs, right, and.

1610
01:27:08,600 --> 01:27:12,400
Speaker 3: For this, nobody trained you do. Y'all have to go

1611
01:27:12,520 --> 01:27:14,880
Speaker 3: through this training. It was like in case, in case,

1612
01:27:14,920 --> 01:27:16,879
Speaker 3: you ever happy, let me show you how to dismant

1613
01:27:16,920 --> 01:27:17,360
Speaker 3: of the bomb.

1614
01:27:18,000 --> 01:27:20,600
Speaker 2: They said, yeah, like, I gotta called Jack Bauer in

1615
01:27:20,680 --> 01:27:25,360
Speaker 2: to do this last surgery. This is a picture of

1616
01:27:26,040 --> 01:27:30,720
Speaker 2: what they took out of is butt. I guess, Oh

1617
01:27:30,800 --> 01:27:33,800
Speaker 2: my god, right at eighty eight, you know, hey, get it?

1618
01:27:33,840 --> 01:27:36,720
Speaker 2: How you live? Fam? I'm okay. I hope to be

1619
01:27:36,800 --> 01:27:39,960
Speaker 2: doing this much at eighty eight. You know. Bomb disposal

1620
01:27:40,160 --> 01:27:43,560
Speaker 2: units at the scene determined there was little possibility the

1621
01:27:43,640 --> 01:27:46,800
Speaker 2: shell would explode inside the man. They reassured us by

1622
01:27:46,880 --> 01:27:48,720
Speaker 2: telling us that there was a collector's item from the

1623
01:27:48,800 --> 01:27:52,280
Speaker 2: First World War used by the French military. Stun doctors

1624
01:27:52,360 --> 01:27:55,799
Speaker 2: subsequently began the process of trying to remove the object,

1625
01:27:55,840 --> 01:27:58,400
Speaker 2: which measured almost eight inches long and two inches wide,

1626
01:27:58,439 --> 01:28:02,479
Speaker 2: from the man's ractum. Uh. They believe he put it

1627
01:28:02,560 --> 01:28:03,679
Speaker 2: there for sexual pleasure.

1628
01:28:07,720 --> 01:28:08,960
Speaker 3: Okay, that makes sense.

1629
01:28:09,160 --> 01:28:11,599
Speaker 2: I was like, oh, it does Okay, Okay, that makes sense.

1630
01:28:11,640 --> 01:28:14,840
Speaker 1: I mean it doesn't make sense, but that makes sense

1631
01:28:15,240 --> 01:28:17,400
Speaker 1: as far as how it got there, because.

1632
01:28:17,120 --> 01:28:18,519
Speaker 3: I was like, get there.

1633
01:28:19,160 --> 01:28:23,240
Speaker 2: Yeah, you wanted some bomb dick, so he apparently.

1634
01:28:26,600 --> 01:28:26,760
Speaker 1: Too.

1635
01:28:26,880 --> 01:28:31,519
Speaker 2: I mean, I've heard of explosive diarrhea, but uh, an apple,

1636
01:28:31,800 --> 01:28:34,160
Speaker 2: a mango, and even a can of shaving phone. We

1637
01:28:34,280 --> 01:28:36,640
Speaker 2: are used to find the unusual objects inserted where it

1638
01:28:36,640 --> 01:28:39,639
Speaker 2: shouldn't be. But a shell whatever you said, an apple,

1639
01:28:39,720 --> 01:28:44,680
Speaker 2: a mango, and a can of shaving phone. Oh what

1640
01:28:44,800 --> 01:28:48,759
Speaker 2: do you doing at the house? Listen. I don't kink Shane, okay,

1641
01:28:49,240 --> 01:28:53,360
Speaker 2: but I do explosion Shane. Okay, if you're gonna put

1642
01:28:53,400 --> 01:28:56,360
Speaker 2: an explosive shell in your ass, I think I think

1643
01:28:56,560 --> 01:29:01,559
Speaker 2: that that involves that, like you therapy, okay, because now

1644
01:29:01,640 --> 01:29:04,720
Speaker 2: you you're mixing some death with shit with some like

1645
01:29:05,120 --> 01:29:07,439
Speaker 2: like other people. Your neighbor be dead, like I don't know,

1646
01:29:07,680 --> 01:29:10,160
Speaker 2: you blow up in your apartment, people think it's a bombing,

1647
01:29:10,200 --> 01:29:12,720
Speaker 2: and like, come on, man, it.

1648
01:29:12,760 --> 01:29:14,679
Speaker 1: Becomes a whole thing and it's one of those things

1649
01:29:14,720 --> 01:29:17,719
Speaker 1: where be safe, Like if you're gonna do it, be safe.

1650
01:29:17,800 --> 01:29:20,680
Speaker 3: But apparently, like everybody else, you realize.

1651
01:29:22,720 --> 01:29:27,920
Speaker 2: When the person was making this explosive. They thought it

1652
01:29:27,960 --> 01:29:32,599
Speaker 2: would be used to kill the opposite that like Germans,

1653
01:29:33,680 --> 01:29:38,000
Speaker 2: they made this explosive shell full well with the intention

1654
01:29:38,160 --> 01:29:41,560
Speaker 2: that this would kill some German soldier, it would be

1655
01:29:41,800 --> 01:29:47,000
Speaker 2: used for battle and death, and instead it is used

1656
01:29:47,040 --> 01:29:50,439
Speaker 2: for the opposite of war, which is fucking. It's beautiful.

1657
01:29:52,000 --> 01:29:54,320
Speaker 2: Life is beautiful if you think about it that way.

1658
01:29:54,920 --> 01:30:00,120
Speaker 2: Apparently so, but uh yeah, uh that's scary. He in

1659
01:30:00,200 --> 01:30:05,080
Speaker 2: a fucking around. Samuel L. Jackson liked hardcore porn on Twitter,

1660
01:30:05,880 --> 01:30:11,320
Speaker 2: and fans gave him a wake up call. Actor Sam

1661
01:30:11,439 --> 01:30:14,240
Speaker 2: Jackson celebrated his seventy fourth birthday on week Wednesday, and

1662
01:30:14,280 --> 01:30:16,360
Speaker 2: the greatest gift may be he received an important life

1663
01:30:16,400 --> 01:30:19,200
Speaker 2: lesson that the things you like on Twitter can be

1664
01:30:19,320 --> 01:30:20,479
Speaker 2: viewed by the general public.

1665
01:30:21,120 --> 01:30:23,639
Speaker 1: I told you, I've always thought that bullshit was a problem.

1666
01:30:23,680 --> 01:30:25,280
Speaker 1: You make that shit private.

1667
01:30:26,520 --> 01:30:29,880
Speaker 2: Uh So, he apparently liked a bunch of porn scenes

1668
01:30:29,920 --> 01:30:32,160
Speaker 2: on Twitter, not realizing that the like is meant to

1669
01:30:32,200 --> 01:30:35,920
Speaker 2: be a public endorsement, and of course fans did notice

1670
01:30:36,640 --> 01:30:37,760
Speaker 2: that he did that.

1671
01:30:37,880 --> 01:30:40,840
Speaker 3: Hilarious Nigga seventy four enjoying his life.

1672
01:30:41,600 --> 01:30:45,800
Speaker 2: Yeah uh, I feel bad for him.

1673
01:30:47,040 --> 01:30:48,479
Speaker 3: Oh, A lot of people don't know that.

1674
01:30:49,200 --> 01:30:51,320
Speaker 2: Yeah, Ao, Sam, what the fuck you doing?

1675
01:30:51,439 --> 01:30:51,519
Speaker 1: Bro?

1676
01:30:51,960 --> 01:30:54,280
Speaker 2: And it shows his likes and one of them is

1677
01:30:54,600 --> 01:30:59,880
Speaker 2: black Panda. It looks like a maybe a gentleman behind

1678
01:31:00,080 --> 01:31:06,280
Speaker 2: a lady of some type. Because you know, people had

1679
01:31:06,320 --> 01:31:10,599
Speaker 2: to go report on them, they had to nark. Good morning.

1680
01:31:10,640 --> 01:31:12,519
Speaker 2: Don't let any of the news of the day distract

1681
01:31:12,560 --> 01:31:15,080
Speaker 2: you from the fact that Samuel Jackson likes watching white

1682
01:31:15,120 --> 01:31:18,360
Speaker 2: women get banged by BBC. And we all noticed because

1683
01:31:18,400 --> 01:31:22,479
Speaker 2: it was his Twitter. That's from the journalista who says this,

1684
01:31:22,880 --> 01:31:26,560
Speaker 2: who said that many also tried to come to his

1685
01:31:26,680 --> 01:31:29,120
Speaker 2: aid and tell him, hey, man, your likes a public.

1686
01:31:29,240 --> 01:31:35,160
Speaker 2: You know, all the porn tweets have now been unliked,

1687
01:31:35,200 --> 01:31:39,960
Speaker 2: according to BuzzFeed, and he has previously been opened about

1688
01:31:40,000 --> 01:31:45,000
Speaker 2: liking hintai, which is pornographic animation from Japan. So many

1689
01:31:45,040 --> 01:31:46,360
Speaker 2: Twitter users weren't surprised.

1690
01:31:50,800 --> 01:31:53,479
Speaker 3: All right, I get to see that, but most of

1691
01:31:53,520 --> 01:31:55,519
Speaker 3: the jender public did not know that, so they was like,

1692
01:31:55,640 --> 01:31:59,719
Speaker 3: what is happening here? That's why I said people should

1693
01:32:00,080 --> 01:32:02,920
Speaker 3: be able to make that private other platforms.

1694
01:32:03,439 --> 01:32:05,040
Speaker 2: I don't think it's a big deal. I think if

1695
01:32:05,080 --> 01:32:07,640
Speaker 2: he would have taken a World War One shell and

1696
01:32:07,680 --> 01:32:09,160
Speaker 2: stuck it up his ass and had to go to

1697
01:32:09,200 --> 01:32:13,600
Speaker 2: the hospital. I think that's a big deal that I

1698
01:32:13,680 --> 01:32:18,040
Speaker 2: think liking porn is not that big a deal. It

1699
01:32:18,160 --> 01:32:21,000
Speaker 2: just reminds me of well I was talking about last

1700
01:32:21,040 --> 01:32:23,360
Speaker 2: time we had to show whatever. I was like, I

1701
01:32:23,520 --> 01:32:25,800
Speaker 2: wonder if there should be an age limit for social

1702
01:32:25,840 --> 01:32:29,680
Speaker 2: media because it is a place where Sam Jackson is

1703
01:32:31,160 --> 01:32:35,559
Speaker 2: Disney's own. And also you can find out Sam Jackson

1704
01:32:36,280 --> 01:32:40,360
Speaker 2: is watching black dot com or some like you like

1705
01:32:40,960 --> 01:32:44,120
Speaker 2: like yeah, it's like I can want to follow Sam

1706
01:32:44,240 --> 01:32:46,840
Speaker 2: Jackson to know what projects he's working on, and I

1707
01:32:46,960 --> 01:32:49,600
Speaker 2: end up finding out that he's working on beating his

1708
01:32:49,760 --> 01:32:53,439
Speaker 2: meat to to blackfeet, black black knee, white feet or

1709
01:32:54,080 --> 01:32:58,599
Speaker 2: black someone blondes or cuckold or something like. He could

1710
01:32:58,640 --> 01:33:01,000
Speaker 2: be into anything. I didn't need to know this. I

1711
01:33:01,160 --> 01:33:03,120
Speaker 2: didn't need to know, but guess what I found out

1712
01:33:03,200 --> 01:33:05,680
Speaker 2: on the internet on social media, the same place your

1713
01:33:05,720 --> 01:33:08,960
Speaker 2: thirteen year old can be like, that's true, that's something

1714
01:33:09,000 --> 01:33:14,639
Speaker 2: to it. All. Right, let's move on. Let's do something

1715
01:33:14,720 --> 01:33:16,479
Speaker 2: we haven't done in a while and play some guests.

1716
01:33:16,479 --> 01:33:32,559
Speaker 2: The race. That's the race. That's the race. That's the race.

1717
01:33:37,400 --> 01:33:46,280
Speaker 2: That's the race. And for those that were writing it down.

1718
01:33:46,320 --> 01:33:49,240
Speaker 2: It's black underscore pandam so I know some of y'all,

1719
01:33:49,360 --> 01:33:51,479
Speaker 2: probably some of y'all freaks want to get up in there.

1720
01:33:52,960 --> 01:33:55,519
Speaker 2: Guess the race. In case you wanted to know, guess

1721
01:33:55,560 --> 01:33:57,439
Speaker 2: the race. You know how the game is played. Karen's

1722
01:33:57,439 --> 01:34:01,120
Speaker 2: playing the chat rooms playing in interest of not getting

1723
01:34:01,200 --> 01:34:05,679
Speaker 2: kicked off YouTube. I'm gonna try to translate the guesses

1724
01:34:05,720 --> 01:34:09,040
Speaker 2: in the chat to something a little more acceptable and

1725
01:34:09,160 --> 01:34:11,120
Speaker 2: hope that that's not the thing that got us kicked

1726
01:34:11,160 --> 01:34:14,719
Speaker 2: off YouTube for that week. But who knows. We probably

1727
01:34:14,760 --> 01:34:20,040
Speaker 2: said mad shit this before this even started, that you two,

1728
01:34:20,200 --> 01:34:24,600
Speaker 2: like I don't know, these negroes must go, and we

1729
01:34:24,680 --> 01:34:27,080
Speaker 2: didn't even tell you that you broke that's hate speech.

1730
01:34:28,560 --> 01:34:32,559
Speaker 2: Michigan mom charged after allegedly catfishing and harassing her daughter

1731
01:34:32,680 --> 01:34:38,439
Speaker 2: and teen boyfriend boyfriend. A Michigan mother has been charged

1732
01:34:38,439 --> 01:34:40,559
Speaker 2: at the allegedly harassing her teenage daughter and her daughter's

1733
01:34:40,600 --> 01:34:44,960
Speaker 2: boyfriend you under a fake identity online. Kendra Gail Lacari

1734
01:34:45,320 --> 01:34:47,840
Speaker 2: of Mount Pleasant, Michigan, is charged with two counts of

1735
01:34:47,880 --> 01:34:50,240
Speaker 2: stalking a minor and one kind of obstruction of justice,

1736
01:34:50,600 --> 01:34:53,800
Speaker 2: both felonies with a maximum of five year sentences. She

1737
01:34:54,000 --> 01:34:56,040
Speaker 2: was also charged with two counts of using a computer

1738
01:34:56,080 --> 01:34:58,200
Speaker 2: to commit a crime, a felony, for what she could

1739
01:34:58,320 --> 01:35:01,160
Speaker 2: receive up to ten years in prison. According to the

1740
01:35:01,200 --> 01:35:04,639
Speaker 2: Morning Sun, Lacari was taking into custody and charged on Monday.

1741
01:35:04,720 --> 01:35:07,400
Speaker 2: She was released on five thousand dollars bond. She's forty

1742
01:35:07,400 --> 01:35:12,200
Speaker 2: two years old. They began investigating her alleged messages at

1743
01:35:12,240 --> 01:35:15,000
Speaker 2: the cyber bullion. Complaints were sent to her daughter school district,

1744
01:35:16,520 --> 01:35:21,519
Speaker 2: where she is also the girls basketball coach. So you

1745
01:35:21,680 --> 01:35:24,400
Speaker 2: know better the complaint, She's like, that's how I learned

1746
01:35:24,439 --> 01:35:29,320
Speaker 2: the bully watching them. The complaint involved Lacari's daughter, right,

1747
01:35:30,040 --> 01:35:31,880
Speaker 2: I said, oh, that's how you So, what do you do?

1748
01:35:32,080 --> 01:35:32,920
Speaker 3: You called her? What now?

1749
01:35:34,240 --> 01:35:37,120
Speaker 2: The complaint involved Lacari's daughter as well as the teenager's

1750
01:35:37,280 --> 01:35:41,000
Speaker 2: then boyfriend. Lacari and the other student's mother initially helped

1751
01:35:41,040 --> 01:35:45,880
Speaker 2: the school district investigate the harassing messages, but when the

1752
01:35:45,960 --> 01:35:49,320
Speaker 2: district's resources ran low and it became apparent that many

1753
01:35:49,320 --> 01:35:52,200
Speaker 2: of the messages were received off school grounds, local police

1754
01:35:52,200 --> 01:35:55,320
Speaker 2: stepped into help. Family members then told authorities that the

1755
01:35:55,360 --> 01:35:59,800
Speaker 2: teenagers started getting messages early last year. According to the

1756
01:35:59,840 --> 01:36:03,920
Speaker 2: More and the son at the Prosecutor's office gathered three

1757
01:36:04,040 --> 01:36:09,280
Speaker 2: hundred and forty nine pages of text messages. God damn, ma'am,

1758
01:36:09,360 --> 01:36:10,360
Speaker 2: you had nothing better to do.

1759
01:36:11,439 --> 01:36:15,880
Speaker 1: You know how many women would killtalk that stalk thing

1760
01:36:16,160 --> 01:36:16,800
Speaker 1: you talk about.

1761
01:36:17,520 --> 01:36:20,840
Speaker 2: I'm a stalker, you know who? How many women would

1762
01:36:20,920 --> 01:36:23,920
Speaker 2: kill for a relationship with their teenage daughter where they

1763
01:36:23,960 --> 01:36:26,439
Speaker 2: could have three hundred and forty nine pages of text

1764
01:36:26,479 --> 01:36:34,120
Speaker 2: messages is zero and look at you alone. But yeah, uh,

1765
01:36:34,720 --> 01:36:39,639
Speaker 2: text message and social media basically. So then they called

1766
01:36:39,680 --> 01:36:43,040
Speaker 2: in the FBI's Computer Crime Division. That's funny because you

1767
01:36:43,080 --> 01:36:44,559
Speaker 2: know she had to be there when they was talking

1768
01:36:44,600 --> 01:36:46,439
Speaker 2: to her daughter, pretending like, yes, we need to get

1769
01:36:46,439 --> 01:36:49,439
Speaker 2: to the bottom of this anyway, man, what are you

1770
01:36:49,479 --> 01:36:53,040
Speaker 2: doing on your phone? Nothing? Just checking some messages. Oh no,

1771
01:36:53,240 --> 01:36:55,680
Speaker 2: she just got a new one, Dia, bitch die. I

1772
01:36:55,720 --> 01:36:57,599
Speaker 2: didn't get no new message. I'll give it a second.

1773
01:36:59,200 --> 01:37:06,679
Speaker 2: Oh yep. Bill City Schools Superintendent William Chilman's also said,

1774
01:37:07,960 --> 01:37:10,680
Speaker 2: according to The Morning Sun, that authorities told him they

1775
01:37:10,720 --> 01:37:13,439
Speaker 2: suspect that Lacari was connected to the messages. The FBI

1776
01:37:13,520 --> 01:37:15,800
Speaker 2: I confirm their suspicions. When the determined the messages coming

1777
01:37:15,880 --> 01:37:19,519
Speaker 2: from Lacari's IP address. He added that Lacari admitted to

1778
01:37:19,600 --> 01:37:22,559
Speaker 2: police to sending the messages by larger It was mostly

1779
01:37:22,640 --> 01:37:27,000
Speaker 2: just harassing type messages, demeaning, demoralizing, and just mean text.

1780
01:37:27,439 --> 01:37:30,360
Speaker 2: When the case first came into office office, it was bizarre,

1781
01:37:30,479 --> 01:37:33,519
Speaker 2: almost hard to believe. We're talking about several hundreds of

1782
01:37:33,560 --> 01:37:36,679
Speaker 2: text messages over a thousand pages of discovery in the case.

1783
01:37:38,400 --> 01:37:44,720
Speaker 2: Now listen, I think I think this is horrible. I

1784
01:37:44,800 --> 01:37:46,599
Speaker 2: think this is horrible. I think this woman is horrible

1785
01:37:46,640 --> 01:37:50,880
Speaker 2: for doing this. But also in the defense, I've never

1786
01:37:50,960 --> 01:37:54,760
Speaker 2: had a teenage daughter, so maybe it's just harder than

1787
01:37:54,800 --> 01:37:58,080
Speaker 2: I thought. Maybe maybe it's hard to fight with one

1788
01:37:58,120 --> 01:38:00,160
Speaker 2: hand behind your back, where you the bad guy for

1789
01:38:01,000 --> 01:38:05,640
Speaker 2: telling her anything bad about her, and then she she

1790
01:38:05,800 --> 01:38:08,479
Speaker 2: gets to just say whatever she wants to. So maybe

1791
01:38:08,520 --> 01:38:10,679
Speaker 2: you create a fake account and now you on even

1792
01:38:10,720 --> 01:38:14,799
Speaker 2: playing field. It's just weird that her stalker and harassment

1793
01:38:14,920 --> 01:38:16,599
Speaker 2: was bringing up ship that she said to her mom.

1794
01:38:17,040 --> 01:38:17,960
Speaker 2: I'm sure that was weird.

1795
01:38:19,600 --> 01:38:19,920
Speaker 1: Weird.

1796
01:38:20,200 --> 01:38:22,439
Speaker 2: You know what, bitch, it's people that will be lucky

1797
01:38:22,479 --> 01:38:28,879
Speaker 2: to get pop tars every day. That's what day the harassment.

1798
01:38:29,240 --> 01:38:31,560
Speaker 2: You should have ate them pop tars. This morning, bitch, Like,

1799
01:38:31,680 --> 01:38:37,280
Speaker 2: what the harassment? Do you have McDonald's money? I didn't

1800
01:38:37,360 --> 01:38:40,800
Speaker 2: think so, Like, why does my bully care about me?

1801
01:38:40,840 --> 01:38:41,920
Speaker 2: I'm McDonald's money.

1802
01:38:43,840 --> 01:38:48,679
Speaker 1: My bully noted we had then that bonefish two weeks ago.

1803
01:38:48,960 --> 01:38:55,760
Speaker 2: My bullet's use. Her name is Booboo the fool. If

1804
01:38:55,840 --> 01:38:57,800
Speaker 2: your friends jumped off a bridge, would you, because you

1805
01:38:57,920 --> 01:39:08,000
Speaker 2: should kill yourself? Bitch? Well yeah, so they said. According

1806
01:39:08,040 --> 01:39:12,439
Speaker 2: to the criminal complaint, she the mother master her location

1807
01:39:12,600 --> 01:39:15,559
Speaker 2: with a software platform and used multiple numbers and area codes.

1808
01:39:15,880 --> 01:39:18,160
Speaker 2: So it seems as if her daughter's friends were text

1809
01:39:18,200 --> 01:39:23,400
Speaker 2: sending the text messages. Oh that's even worse. Oh that's

1810
01:39:23,479 --> 01:39:24,200
Speaker 2: even worse.

1811
01:39:24,439 --> 01:39:25,480
Speaker 3: So it's spoofing.

1812
01:39:25,880 --> 01:39:30,400
Speaker 2: She was spoofing her friends, so you got she definitely

1813
01:39:30,400 --> 01:39:34,040
Speaker 2: probably thought her friends was like backstabbing, evil traiters people.

1814
01:39:36,600 --> 01:39:39,599
Speaker 2: She ultimately aided her daughter and telling authorities about the messages.

1815
01:39:39,680 --> 01:39:41,760
Speaker 2: If at any point this became something they didn't want

1816
01:39:41,800 --> 01:39:44,439
Speaker 2: to engage a Coatina, they could have stopped. Rather than stop,

1817
01:39:44,479 --> 01:39:46,920
Speaker 2: they continued to snowball into the sophisticated plan where they

1818
01:39:46,960 --> 01:39:49,639
Speaker 2: tried to consider identity and throw the police off their tracks.

1819
01:39:50,640 --> 01:39:53,360
Speaker 2: Lacari's alleged motives are not clear. However, daughter and other

1820
01:39:53,439 --> 01:39:56,040
Speaker 2: teenagers said to be are said to be distraught. I

1821
01:39:56,120 --> 01:40:00,960
Speaker 2: would be yeah, yes, yeah, yeah, I just wow, what

1822
01:40:01,120 --> 01:40:04,320
Speaker 2: a sick, sad thing to do. Like they said it

1823
01:40:04,479 --> 01:40:07,559
Speaker 2: was cyber Munchausen syndrome, which is that thing where people

1824
01:40:07,760 --> 01:40:09,960
Speaker 2: act like their kid is sick so they can get attention,

1825
01:40:10,520 --> 01:40:14,840
Speaker 2: sometimes even making their kids sick. So maybe she thought

1826
01:40:15,120 --> 01:40:17,720
Speaker 2: this will make my daughter come to me and will

1827
01:40:17,760 --> 01:40:20,040
Speaker 2: get attention as a family. It sounds like a mental

1828
01:40:20,280 --> 01:40:23,360
Speaker 2: illness type, because there's no reason that's gonna sound like

1829
01:40:23,439 --> 01:40:25,760
Speaker 2: it makes sense. Karen gets the race.

1830
01:40:27,240 --> 01:40:30,000
Speaker 3: What was the name again? Her name is.

1831
01:40:32,720 --> 01:40:36,360
Speaker 2: Give me one second to get to the tump. Kendra Gale,

1832
01:40:36,479 --> 01:40:43,720
Speaker 2: Lacari black, Karen's going black chat room Mommy Darius white,

1833
01:40:43,800 --> 01:40:47,479
Speaker 2: Caucasian catfish Michigan but not Detroit. I'm thinking white, some

1834
01:40:47,680 --> 01:40:54,080
Speaker 2: white shit, white behavior. The correct answer is I think

1835
01:40:54,360 --> 01:40:59,479
Speaker 2: everyone accept Karen said white. Everyone except Karen got it right,

1836
01:41:10,880 --> 01:41:19,160
Speaker 2: and I gotta play the booze for Karen. Mm hmm hmmm.

1837
01:41:19,640 --> 01:41:21,280
Speaker 2: Now what made you go with black on that one?

1838
01:41:21,360 --> 01:41:26,479
Speaker 3: Karen, dna d name sound like a black mm hmm.

1839
01:41:26,640 --> 01:41:28,840
Speaker 2: Okay, because Lacari sounds like a white name to me,

1840
01:41:30,640 --> 01:41:33,080
Speaker 2: But yeah, Kendred sounds kind of black. I can see that.

1841
01:41:34,720 --> 01:41:36,120
Speaker 2: Let's go to another.

1842
01:41:37,400 --> 01:41:39,240
Speaker 3: Hmm and.

1843
01:41:44,040 --> 01:41:50,200
Speaker 2: A chainsaw willing dad, chainsaw wilding dad, wilding wilding, chainsaw

1844
01:41:50,240 --> 01:41:55,040
Speaker 2: wilding dad at tax police station. At the cops refuse

1845
01:41:55,120 --> 01:42:05,080
Speaker 2: to babysit his children. What chaw a match? A Massachusetts

1846
01:42:05,160 --> 01:42:06,479
Speaker 2: father tried to break into a.

1847
01:42:06,479 --> 01:42:09,479
Speaker 3: Police you're gonna take care of my baby, sir.

1848
01:42:10,040 --> 01:42:12,559
Speaker 2: A Massachusets father tried to break into a police station

1849
01:42:12,720 --> 01:42:15,559
Speaker 2: with a chainsaw. At the cops refuse the babysitter's children.

1850
01:42:16,000 --> 01:42:18,799
Speaker 2: That trigger the standoff, which saw him dangle the youngsters

1851
01:42:18,840 --> 01:42:21,280
Speaker 2: in front of an upstairs window. I'll tell you this

1852
01:42:21,479 --> 01:42:25,640
Speaker 2: right now, that definitely took longer than hiring a babysitter.

1853
01:42:26,120 --> 01:42:28,360
Speaker 3: Didn't it, though, You'd have been better off just paying

1854
01:42:28,400 --> 01:42:29,080
Speaker 3: for a babysitter.

1855
01:42:29,280 --> 01:42:31,200
Speaker 1: Right now, you got to have pay bond, your kids

1856
01:42:31,240 --> 01:42:32,800
Speaker 1: probably gonna be taken away from it, and that as

1857
01:42:32,840 --> 01:42:33,759
Speaker 1: a whole ass odal.

1858
01:42:33,920 --> 01:42:35,120
Speaker 3: Just go ahead and pay the babysitter.

1859
01:42:35,320 --> 01:42:36,800
Speaker 2: Just take the babies on the date with you. I

1860
01:42:36,840 --> 01:42:38,599
Speaker 2: don't know. This is why I don't get mad when

1861
01:42:38,640 --> 01:42:41,080
Speaker 2: people have babies crying in the movies, Because I said

1862
01:42:41,120 --> 01:42:43,800
Speaker 2: maybe that man had a chainsaw and the death wish.

1863
01:42:43,880 --> 01:42:45,479
Speaker 2: Maybe we saved everybody, guys.

1864
01:42:46,160 --> 01:42:48,800
Speaker 3: Yes, they didn't have to have a stand off with

1865
01:42:49,160 --> 01:42:50,200
Speaker 3: the man with the chainsaw.

1866
01:42:50,360 --> 01:42:52,960
Speaker 2: Okay, baby cried through the midnight showing an avatar. But

1867
01:42:53,040 --> 01:42:55,000
Speaker 2: at least the police didn't have to shoot this man

1868
01:42:55,040 --> 01:42:58,599
Speaker 2: to death in front of his kids. Okay. Brian Buckley,

1869
01:42:58,760 --> 01:43:02,120
Speaker 2: thirty five, was charged after hours long standoff with police

1870
01:43:02,160 --> 01:43:05,200
Speaker 2: on Sunday at his home. The disturbance series of events

1871
01:43:05,240 --> 01:43:08,720
Speaker 2: began when he visited the Cohaset Police department asking that

1872
01:43:08,840 --> 01:43:13,639
Speaker 2: they babysit his children. When his alleged quest was refused,

1873
01:43:13,840 --> 01:43:18,240
Speaker 2: Buckley allegedly brought a chainsaw to the department and terrorized

1874
01:43:18,240 --> 01:43:21,400
Speaker 2: its desk, attended damaging the station's lobby in an attempt

1875
01:43:21,400 --> 01:43:24,120
Speaker 2: to get in. Buckley fled to his home, where the

1876
01:43:24,160 --> 01:43:27,080
Speaker 2: standoff took place, with his daughter and son, both under

1877
01:43:27,080 --> 01:43:29,000
Speaker 2: the age of five, in the home. At one point,

1878
01:43:29,040 --> 01:43:32,320
Speaker 2: he was filmed with his dead dead with his dead

1879
01:43:32,439 --> 01:43:36,880
Speaker 2: dangling daughter maybe I don't know, with his daughter dangling

1880
01:43:36,880 --> 01:43:39,840
Speaker 2: out of upstairs window of the property while wearing what

1881
01:43:39,960 --> 01:43:43,000
Speaker 2: appeared to be a set of rabbit ears. He was

1882
01:43:43,040 --> 01:43:45,840
Speaker 2: wearing the rabbit ears by the way. Oh you know what,

1883
01:43:46,160 --> 01:43:49,679
Speaker 2: they meant to type head his head dangling out the window.

1884
01:43:49,840 --> 01:43:50,799
Speaker 3: There you go, okay.

1885
01:43:51,200 --> 01:43:53,320
Speaker 2: The police eventually entered the home whereever, able to deploy

1886
01:43:53,320 --> 01:43:55,760
Speaker 2: a stun gun and subdue him, as children were unharmed.

1887
01:43:57,680 --> 01:43:59,599
Speaker 2: He had called the department earlier in the day asking

1888
01:43:59,640 --> 01:44:02,879
Speaker 2: that they baby City's two young kids. Hours after they declined,

1889
01:44:04,200 --> 01:44:08,200
Speaker 2: he showed up. He is known to the department, which means.

1890
01:44:10,720 --> 01:44:11,200
Speaker 3: Yeah yeah.

1891
01:44:11,560 --> 01:44:13,559
Speaker 2: He arride to the station with a chainsaw in tow.

1892
01:44:14,280 --> 01:44:16,879
Speaker 2: Buckley arride to the station by driving this truck directly

1893
01:44:16,960 --> 01:44:19,639
Speaker 2: onto the lawn outside and struck a tree on the property.

1894
01:44:20,080 --> 01:44:22,400
Speaker 2: Using the chainsaw, he tried to cut through the security

1895
01:44:22,479 --> 01:44:25,400
Speaker 2: door to station. A desk attendant was able to barricade

1896
01:44:25,520 --> 01:44:28,800
Speaker 2: herself and hide while calling the other officers for help.

1897
01:44:30,439 --> 01:44:32,600
Speaker 2: They said the man went in and basically terrorized the

1898
01:44:32,600 --> 01:44:35,200
Speaker 2: civilian desk attendant who was behind the security door and

1899
01:44:35,240 --> 01:44:39,640
Speaker 2: security glass. Nobody thought to shoot him, huh and the

1900
01:44:39,720 --> 01:44:42,559
Speaker 2: press release. Buckley began to damage the lobby of the station.

1901
01:44:43,479 --> 01:44:45,160
Speaker 2: The police said. He began to damage the lobby of

1902
01:44:45,240 --> 01:44:47,240
Speaker 2: the station with the saw, was chopping at the security door,

1903
01:44:47,720 --> 01:44:49,880
Speaker 2: attempting a gain entry into the restricted area where the

1904
01:44:49,920 --> 01:44:52,320
Speaker 2: attendant was Photos of the door released the official show

1905
01:44:52,360 --> 01:44:57,040
Speaker 2: that extended the damage down by the accused. So yeah,

1906
01:44:58,760 --> 01:45:01,760
Speaker 2: then they had to standoff. He started throwing items out

1907
01:45:01,800 --> 01:45:04,519
Speaker 2: of a window. He was also clinging to his son

1908
01:45:04,560 --> 01:45:06,479
Speaker 2: and daughter nail window on the second floor to home.

1909
01:45:06,960 --> 01:45:11,320
Speaker 2: But thankfully neither child was hurt. And then they entered

1910
01:45:11,360 --> 01:45:12,720
Speaker 2: the home and that's when they said, did them so,

1911
01:45:13,000 --> 01:45:14,320
Speaker 2: I aren't care. I guess the race.

1912
01:45:15,800 --> 01:45:17,519
Speaker 3: This is white.

1913
01:45:17,760 --> 01:45:21,200
Speaker 1: Ain't no nigga gonna ask you to babysit their kids.

1914
01:45:21,280 --> 01:45:23,720
Speaker 1: What they will do is bring them up. Dan been like,

1915
01:45:23,800 --> 01:45:25,720
Speaker 1: y'all better take these kids before I kill them. And

1916
01:45:25,800 --> 01:45:27,599
Speaker 1: y'all be arresting me to go to jail.

1917
01:45:28,479 --> 01:45:34,880
Speaker 2: So I'm saying, okay, Uh, let's see chat room, says

1918
01:45:35,880 --> 01:45:40,280
Speaker 2: Texas chainsaw. Whitey privileged white, No reasonable nigga expects police

1919
01:45:40,320 --> 01:45:42,800
Speaker 2: to watch his kids. Uh he was on some Peter

1920
01:45:42,880 --> 01:45:46,360
Speaker 2: Griffin ship with lords Belchler and Toe White, Michael Eely

1921
01:45:46,439 --> 01:45:52,080
Speaker 2: white side and for colored girls, y'all have me a

1922
01:45:52,200 --> 01:45:55,599
Speaker 2: chainsaw in the police station yet still alive. White Ceceily

1923
01:45:55,640 --> 01:45:57,960
Speaker 2: thought it was a good idea to hire Popo's Nanny's

1924
01:45:57,960 --> 01:46:00,800
Speaker 2: gotta be a white man, white because and his babies

1925
01:46:00,840 --> 01:46:03,640
Speaker 2: are still alive. Didn't have it hard to bend the

1926
01:46:03,720 --> 01:46:06,719
Speaker 2: kids to come back twenty years later when they become

1927
01:46:06,800 --> 01:46:11,240
Speaker 2: pro athletes. White Texas change saw dad white. They took

1928
01:46:11,400 --> 01:46:14,720
Speaker 2: every opportunity not to kill him. John did parent and white.

1929
01:46:14,760 --> 01:46:17,439
Speaker 2: He's still alive, white surpar as. Nobody hit the old

1930
01:46:17,800 --> 01:46:20,839
Speaker 2: still in his children's laws. Must be white anyway, correct, dancers,

1931
01:46:20,880 --> 01:46:38,880
Speaker 2: he's white. Uh, nobody missed it. So congratulations to all

1932
01:46:38,920 --> 01:46:39,280
Speaker 2: of y'all.

1933
01:46:39,920 --> 01:46:41,560
Speaker 3: I guess when he saw me, he figured I was

1934
01:46:41,640 --> 01:46:44,200
Speaker 3: a sauce target. Oh no, no, no, not today. I

1935
01:46:44,360 --> 01:46:46,400
Speaker 3: pulled my gun and put that hot land up in

1936
01:46:46,479 --> 01:46:48,320
Speaker 3: him and put some on his mind that day.

1937
01:46:48,560 --> 01:46:50,479
Speaker 1: He ain't gonna be trying to live out his leather

1938
01:46:50,560 --> 01:46:53,200
Speaker 1: face takes a chainsaw massacre fantasies over here.

1939
01:46:56,840 --> 01:46:59,599
Speaker 2: Uh that's him with the bunny ears on leading out

1940
01:46:59,600 --> 01:47:04,120
Speaker 2: the window. Yeah, he's just like he had a complete breakdown.

1941
01:47:04,280 --> 01:47:06,719
Speaker 2: That's him being escorted out by the police.

1942
01:47:12,560 --> 01:47:18,360
Speaker 3: It's it's just it was just so weird. And I

1943
01:47:18,400 --> 01:47:20,800
Speaker 3: don't say this sounds like some shit he does all

1944
01:47:20,960 --> 01:47:21,320
Speaker 3: the time.

1945
01:47:21,439 --> 01:47:25,080
Speaker 1: And they was like, Billy, no, right, this is the

1946
01:47:25,160 --> 01:47:28,519
Speaker 1: fifth time you called today, we will not watch your kids.

1947
01:47:28,800 --> 01:47:31,920
Speaker 2: This man has clearly some mental health issues.

1948
01:47:31,960 --> 01:47:35,640
Speaker 1: If they know him, you know what I mean, some

1949
01:47:35,880 --> 01:47:38,760
Speaker 1: small town some Andie Griffith small time bullshit.

1950
01:47:41,000 --> 01:47:43,640
Speaker 2: All right, we gotta get to the bonus round. I

1951
01:47:43,680 --> 01:47:46,840
Speaker 2: guess the race so far, caring is actually uh two

1952
01:47:46,960 --> 01:47:53,160
Speaker 2: for two. Oh wait, I'm sorry. You're right. You don't

1953
01:47:53,160 --> 01:47:56,479
Speaker 2: get the more racist volume that that that's only for

1954
01:47:56,560 --> 01:47:58,720
Speaker 2: when you go two for two. You just get the

1955
01:47:58,840 --> 01:48:10,360
Speaker 2: regular bonus round. It's time to gest the race. It's time.

1956
01:48:12,439 --> 01:48:14,160
Speaker 2: It's time to the race.

1957
01:48:15,080 --> 01:48:16,800
Speaker 3: It's time to guess the race.

1958
01:48:17,240 --> 01:48:19,240
Speaker 2: All right, Karen's one in one, Let's see if you

1959
01:48:19,240 --> 01:48:21,680
Speaker 2: can finish strong. Five women are facing charges at the

1960
01:48:21,720 --> 01:48:24,080
Speaker 2: Police say they stole more than six thousand dollars worth

1961
01:48:24,120 --> 01:48:27,000
Speaker 2: of merchandise from an old to beauty store and then

1962
01:48:27,120 --> 01:48:28,959
Speaker 2: laid police on a high speed chase.

1963
01:48:29,520 --> 01:48:32,759
Speaker 3: Down from the Ultra beauty store with the hell y'all steel.

1964
01:48:34,560 --> 01:48:38,800
Speaker 2: According to Texaskana Arkansas Police Department, officers were called about

1965
01:48:38,800 --> 01:48:40,920
Speaker 2: a ribery at the store Wednesday evening. Police say the

1966
01:48:40,960 --> 01:48:43,559
Speaker 2: suspects sped away in the vehicle as officers approached the scene.

1967
01:48:44,160 --> 01:48:46,760
Speaker 2: Officers followed the car, which was clocked at traveling over

1968
01:48:46,760 --> 01:48:50,160
Speaker 2: one hundred and thirty three miles per hour the suspects.

1969
01:48:50,680 --> 01:48:54,560
Speaker 2: The suspects then again throwing stolen merchandise out the car windows.

1970
01:48:55,880 --> 01:48:58,960
Speaker 2: Police say the vehicle finally stopped and all five women

1971
01:48:59,000 --> 01:49:02,360
Speaker 2: inside were arrested. All five women are from Sreeport, Louisiana,

1972
01:49:02,760 --> 01:49:05,120
Speaker 2: which is about seventy miles south of where the Olta

1973
01:49:05,160 --> 01:49:09,320
Speaker 2: beauty store in Texas, Canada, Arkansas is, which means this

1974
01:49:09,640 --> 01:49:15,120
Speaker 2: was this a heist? Y'all drove seventy miles like this

1975
01:49:15,200 --> 01:49:19,120
Speaker 2: seemed like a targeted heist or whatever. Also, five people

1976
01:49:19,160 --> 01:49:21,120
Speaker 2: in a cargoing one hundred and thirty three miles an hour,

1977
01:49:21,200 --> 01:49:22,680
Speaker 2: that's pretty impressive.

1978
01:49:23,280 --> 01:49:27,799
Speaker 1: Righte, get up with five people, that's top speed.

1979
01:49:28,479 --> 01:49:34,559
Speaker 2: Let's get to their names. Okay Kashawan, Winston Dja Hunter,

1980
01:49:35,600 --> 01:49:42,680
Speaker 2: Kayla Jones, Romikia Robinson, and Marquina Capers. All of them

1981
01:49:42,680 --> 01:49:45,519
Speaker 2: are under twenty three, twenty three and a nunder. Following

1982
01:49:45,560 --> 01:49:48,120
Speaker 2: the search, police said they found the stolen Alta items

1983
01:49:48,200 --> 01:49:51,000
Speaker 2: inside the getaway car, along with a gun. The merchandise

1984
01:49:51,120 --> 01:49:53,799
Speaker 2: was valued over six thousand dollars. They're facing a variety

1985
01:49:53,880 --> 01:49:55,960
Speaker 2: of charges and being held in the middle of County jail,

1986
01:49:56,040 --> 01:49:57,040
Speaker 2: Karen guess the race.

1987
01:49:58,000 --> 01:50:00,960
Speaker 3: I'm going black and that she was full. They products

1988
01:50:02,280 --> 01:50:03,559
Speaker 3: clissl fenty alta.

1989
01:50:04,479 --> 01:50:08,000
Speaker 2: Uh, set it off in the name of fendy black

1990
01:50:09,160 --> 01:50:12,479
Speaker 2: a sense of hint, sense of okay black Yep, these

1991
01:50:12,479 --> 01:50:17,679
Speaker 2: are Negro setting spray it off, setting spread all black.

1992
01:50:17,800 --> 01:50:22,200
Speaker 2: That's hilarious and smart black. Uh. Everyone's saying black long

1993
01:50:22,280 --> 01:50:25,559
Speaker 2: distance nigga behavior black. The correct that's is black.

1994
01:50:38,840 --> 01:50:42,920
Speaker 3: Into twenty three Yah is a stupid ass crime.

1995
01:50:43,600 --> 01:50:47,080
Speaker 2: The thing I always think about is just how valuable

1996
01:50:47,720 --> 01:50:52,160
Speaker 2: women's beauty stuff is. Like we hear about weave heist

1997
01:50:52,320 --> 01:50:54,599
Speaker 2: and robberies all the time and shit like this stuff

1998
01:50:54,720 --> 01:50:56,040
Speaker 2: is expensive, pensive.

1999
01:50:56,400 --> 01:50:59,280
Speaker 1: Yes, you can get fuck fuck around and spend thousands

2000
01:50:59,320 --> 01:51:01,559
Speaker 1: of dollars on wigs and wives and shit.

2001
01:51:01,640 --> 01:51:03,120
Speaker 3: That shit adds up.

2002
01:51:03,560 --> 01:51:07,160
Speaker 2: Yeah, so it's our rooms. Like I get why people

2003
01:51:07,240 --> 01:51:09,400
Speaker 2: do it. It's just you know, sad or whatever. But

2004
01:51:10,840 --> 01:51:13,479
Speaker 2: all right, let's go to the last rounds, I mean,

2005
01:51:13,560 --> 01:51:39,280
Speaker 2: last story. Sore ratchiness. A man has been arrested in

2006
01:51:39,360 --> 01:51:42,680
Speaker 2: connection to a violent machete sword attack and Ready, California.

2007
01:51:43,800 --> 01:51:46,439
Speaker 2: Two people are a stable conditioned after being violently attacked

2008
01:51:46,439 --> 01:51:48,000
Speaker 2: by a man with a machete and a sord at

2009
01:51:48,000 --> 01:51:52,479
Speaker 2: a camp near Clear Creek Bridge on Thursday morning around

2010
01:51:52,560 --> 01:51:55,240
Speaker 2: seven twenty five am. Police got called at the receiving

2011
01:51:55,280 --> 01:51:58,599
Speaker 2: word of the attack. Their officers arrived and said they

2012
01:51:58,600 --> 01:52:02,679
Speaker 2: found two people suffering multiple life threatening lacerations. The victims

2013
01:52:03,080 --> 01:52:05,519
Speaker 2: to police they were at their camp under the bridge

2014
01:52:05,960 --> 01:52:09,080
Speaker 2: when their associate, Eli Crow, thirty seven, attacked them with

2015
01:52:09,120 --> 01:52:14,040
Speaker 2: a machete and a sword. The RPD said their officers

2016
01:52:14,600 --> 01:52:17,840
Speaker 2: immediately searched the surrounding areas for Crow, However, they weren't

2017
01:52:17,880 --> 01:52:21,040
Speaker 2: able to find them. They obtained a warrant for his arrest,

2018
01:52:21,240 --> 01:52:25,240
Speaker 2: and then around one am Wednesday, November two, they found

2019
01:52:25,240 --> 01:52:27,920
Speaker 2: them in the camp in the Greenbelt area offer east

2020
01:52:27,960 --> 01:52:30,600
Speaker 2: Side Road and took him in the custody. He was

2021
01:52:30,680 --> 01:52:34,760
Speaker 2: booked in the Shasta County Jail for attempting, attempted murder,

2022
01:52:34,960 --> 01:52:38,600
Speaker 2: assaught with a deadly weapon, and criminal threads uh. The

2023
01:52:38,720 --> 01:52:40,920
Speaker 2: victims were treated at a local hospital for their injuries

2024
01:52:40,960 --> 01:52:46,479
Speaker 2: and are unstable condition. M m hmm. That's right, even

2025
01:52:46,560 --> 01:52:50,479
Speaker 2: outside and the homelessness and the cold, it's no safe

2026
01:52:50,520 --> 01:52:52,800
Speaker 2: place from these fucking sword wilding people. Be safe, y'all,

2027
01:52:53,479 --> 01:52:55,800
Speaker 2: No safe place. All right, y'all, that's it for me

2028
01:52:56,280 --> 01:52:59,799
Speaker 2: and Karen. Happy Christmas Eve if you listed as tomorrow,

2029
01:53:00,160 --> 01:53:03,040
Speaker 2: Christmas to you if you celebrate. If not, just another

2030
01:53:03,120 --> 01:53:05,320
Speaker 2: day for the rest of y'all, but take that day

2031
01:53:05,360 --> 01:53:09,840
Speaker 2: out of work, watch a bunch of NBA and NFL games. Yeah,

2032
01:53:10,000 --> 01:53:14,519
Speaker 2: we may do the show tomorrow, just kind of depends

2033
01:53:14,560 --> 01:53:16,960
Speaker 2: on if we feel like it or not. Because I

2034
01:53:17,080 --> 01:53:20,080
Speaker 2: know what the game theory schedule is. There's gonna just

2035
01:53:20,120 --> 01:53:21,519
Speaker 2: be a lot of times when we can't do it.

2036
01:53:21,640 --> 01:53:23,879
Speaker 2: So we may talk to y'all tomorrow.

2037
01:53:24,160 --> 01:53:26,080
Speaker 1: Thank you for we do it well we can, so

2038
01:53:26,200 --> 01:53:29,920
Speaker 1: y'all might be getting some Christmas Holidays specials so when

2039
01:53:29,960 --> 01:53:31,559
Speaker 1: people get back to work, they're like, oh, we didn't

2040
01:53:31,560 --> 01:53:32,200
Speaker 1: expect nothing.

2041
01:53:32,680 --> 01:53:35,120
Speaker 2: Yeah, So thanks for hanging out with us, especially those

2042
01:53:35,120 --> 01:53:37,000
Speaker 2: of y'all who hung out with us live tonight in

2043
01:53:37,120 --> 01:53:40,560
Speaker 2: the chat. You know, this is my Christmas Eve and

2044
01:53:40,800 --> 01:53:43,880
Speaker 2: and and y'all are my extended people that I'm hanging

2045
01:53:43,920 --> 01:53:45,360
Speaker 2: out with for tonight.

2046
01:53:45,560 --> 01:53:49,280
Speaker 3: So family, we appreciate that. And also for those do

2047
01:53:49,520 --> 01:53:50,439
Speaker 3: that are premium.

2048
01:53:51,080 --> 01:53:53,360
Speaker 1: We did a note off this week and we did

2049
01:53:53,400 --> 01:53:56,320
Speaker 1: a falls deep and pre game, so we've been putting

2050
01:53:56,360 --> 01:53:58,880
Speaker 1: in the grind, so you know, that's that's why you

2051
01:53:59,400 --> 01:54:01,400
Speaker 1: pay us in the just to tip us y'all gonna

2052
01:54:01,439 --> 01:54:03,280
Speaker 1: getting something already.

2053
01:54:03,040 --> 01:54:04,960
Speaker 2: Put it out there, yeah, just to tell people they

2054
01:54:05,080 --> 01:54:08,240
Speaker 2: got something. I think I put the balls deep out there,

2055
01:54:09,720 --> 01:54:12,559
Speaker 2: so yeah, there's something out there. And uh yeah, thank

2056
01:54:12,600 --> 01:54:15,960
Speaker 2: you for everybody that supports us, uh and and and

2057
01:54:16,080 --> 01:54:18,000
Speaker 2: all that stuff and made this year special for us.

2058
01:54:18,000 --> 01:54:21,200
Speaker 2: So we'll talk to y'all soon. Until next time, I

2059
01:54:21,280 --> 01:54:21,560
Speaker 2: love you.

2060
01:54:22,040 --> 01:54:22,599
Speaker 3: I love you too,