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Speaker 1: Show, Bobby Boom, all right, I appreciate all the part

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Speaker 1: tours for being here on the podcast part of the show.

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Speaker 1: The Karen Reid trial was yesterday. I wrapped up yesterday.

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Speaker 1: She was found not guilty. Although my wife the day

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Speaker 1: before did get me in the trend of did you

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Speaker 1: hear Karen Reid's guilty? She has a video of me

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Speaker 1: going what, no, no, really and then she starts laughing.

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Speaker 1: But that's the TikTok trend. The day before it came out,

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Speaker 1: everyone would do the vid Karen Reid was guilty, and

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Speaker 1: it's everybody being disgusted. What but yeah, I got got

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Speaker 1: I'm working. I was sitting on my computer at at

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Speaker 1: the bar and I was just and she goes, wow,

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Speaker 1: Karen Reid found guilty. And it was also like six pm,

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Speaker 1: Like what am I thinking? The jury's not deliberating and

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Speaker 1: coming to the judge at six pm? They're coming the

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Speaker 1: next morning, but I'm like no. It was like that

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Speaker 1: video trend where Taylor Swift died. People would be like

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Speaker 1: Taylor Swift dead at thirty four and you'd see adult

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Speaker 1: men go what they'd be like fifty three? Do you

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Speaker 1: guys see these trends? That am I the only one

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Speaker 1: that are you guys even on TikTok Mike Morgan, you've

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Speaker 1: seen him, right, yeah? Okay, I mean hey us, the

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Speaker 1: young ones, we've seen them your crew.

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Speaker 2: Yes. Yeah.

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Speaker 1: She was recquorted to murder. Good she didn't do it.

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Speaker 1: Karen Reid was clear of murder charges yesterday and the

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Speaker 1: death of her boyfriend, Boston police officer John O'Keefe. A

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Speaker 1: jury founder not guilty of second degree murder and other

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Speaker 1: serious charges. She was convicted of drunk driving. That drunk

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Speaker 1: driving charge is kind of weird too, because when they

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Speaker 1: tested her blood alcohol the they did it the next

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Speaker 1: day and they just guessed based on what she was

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Speaker 1: the next day. There was no real take and have.

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Speaker 1: There was a we'll take it hours and hours later

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Speaker 1: and just guesstimate what you were then, because it wasn't

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Speaker 1: like they pulled her over and yeah, so I bet

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Speaker 1: She's like, yep, do you mine me up, baby, I'll

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Speaker 1: take it all day. All those folks were driving drunk,

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Speaker 1: all those cops were driving drunk. She got one year

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Speaker 1: probation for the drunk driving charge. Prosecutors said she hit

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Speaker 1: o keep for their car and left him to die.

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Speaker 1: In a snowstorm January twenty twenty two. It was weird

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Speaker 1: how they announced the verdict. And there's a new Bobby

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Speaker 1: cast up today where I talk about this. The Commonwealth

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Speaker 1: first of all, the fact they call themselves the Commonwealth

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Speaker 1: and shout out to everybody in Massachusetts as people love you.

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Speaker 1: Your state does weird stuff when it comes to the

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Speaker 1: judicial system. First of all, it's the Commonwealth versus Karen Reid.

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Speaker 1: Got it in Louisiana. They don't have counties. Do you

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Speaker 1: know what they have?

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Speaker 3: Oh oh oh oh oh dang.

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Speaker 1: Where are you from Louisiana somehow?

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Speaker 4: Yeah, Texas and Alabama. It's family moved there and so

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Speaker 4: we'd visit. But yeah, I drive through Louisiana every time

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Speaker 4: I go to Alabama, and it's like a parish.

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Speaker 1: Exactly, thank you. Because of its unique historical and cultural

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Speaker 1: backgrounds a former French and Spanish colony, they are called parishes.

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Speaker 1: But the Commonwealth is weird. So fine, But they were

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Speaker 1: announcing the verdict yesterday and they were like fortsarth tooth

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Speaker 1: see it guilty, not guilty, verdict.

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Speaker 2: Just juror was like, huh what does that mean?

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Speaker 1: And then finally not guilty Foreman, do you say it?

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Speaker 1: Hold on, Yeah, not guilty. It was just bizarre, weird,

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Speaker 1: just do what they do on TV A second degree murder.

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Speaker 1: Not guilty, got it. It just felt it was clunky.

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Speaker 2: I feel like I should wear wigs.

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Speaker 1: Maybe that's what it is. They're so attached that their

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Speaker 1: identity is so attached to colonial America and that is

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Speaker 1: a big part of it. Boston tea party, Boston massacre

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Speaker 1: tea party. Yeah, I didn't really Boston. Jeff Thomas Jefferson

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Speaker 1: probably was there. But yeah, they're so attached to that.

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Speaker 2: Maybe they have to.

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Speaker 1: They keep a lot of that for that reason. It's

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Speaker 1: like why the royal family still exists. Yeah, because they

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Speaker 1: really don't have any power or in England when they

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Speaker 1: go to the courts, like the lawyers and the judges,

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Speaker 1: they wear wigs.

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Speaker 2: Yeah, it's weird. It's so weird because I mean they've

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Speaker 2: been doing that for what thousands of years?

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Speaker 1: They wear like the George Washington wigs in court. Now,

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Speaker 1: so she is not guilty rock and roll and now

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Speaker 1: hopefully she doesn't get sued civilly because here's the fear

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Speaker 1: that they are so attached to it being her, that

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Speaker 1: they're not going to open up and go we wonder

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Speaker 1: who it was, do you know why, because it's probably

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Speaker 1: one of them.

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Speaker 3: That's could be.

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Speaker 4: I might be friends with the only person ever right

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Speaker 4: now that thinks she's guilty. Really, yes, like my vest

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Speaker 4: or from high school. She texted me yesterday like so annoyed.

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Speaker 4: She just texted me, I cannot believe they found her

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Speaker 4: not guilty. She definitely clipped her voice from while driving

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Speaker 4: drunk and angry and then left in there. She's pretty awful,

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Speaker 4: brilliant defence team.

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Speaker 1: Well, to be fair, in the last trial she was

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Speaker 1: also found not guilty, but they wouldn't take the charges separately.

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Speaker 1: The jurors in the last one said, we found her

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Speaker 1: not guilty, but we couldn't go not guilty on all three.

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Speaker 1: We were hung on one of them, so they had to

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Speaker 1: hang the whole jury. The whole jury was hung. So

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Speaker 1: that's two trials in a row that she was found

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Speaker 1: not guilty.

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Speaker 3: Yeah, I know, I'm just telling you.

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Speaker 4: She's so passionate about it's your friend at cop in Boston.

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Speaker 4: So here let me tell you this part. I replied, Okay, yes, maybe,

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Speaker 4: but also like if that's the case, then why are

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Speaker 4: the police acting so shady, and she said, because it's

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Speaker 4: Boston cops and they think they run everything. If they

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Speaker 4: would have investigated properly, she'd be in jail. She's free

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Speaker 4: because they are idiots and honestly, they should all be

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Speaker 4: convicted of drinking and driving. All were caught on tape.

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Speaker 4: My uncle and cousin are both Boston police detectives, and

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Speaker 4: they think she did it, but all agree she wouldn't

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Speaker 4: go to jail because of the blank, crappy police work.

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Speaker 4: And I go crazy, she had big time. I said,

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Speaker 4: I love your perspective, and she goes, it's just cut

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Speaker 4: and dry to me. You can read it into all

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Speaker 4: the conspiracy, which I typically love. But those cops are

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Speaker 4: too dumb to keep stories straight. And she's a psychogealous person.

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Speaker 4: She lost her boop and hit him, probably too drunk

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Speaker 4: to realize it right away, but definitely started to realize

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Speaker 4: it throughout the night. You can tell by her psychotne

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Speaker 4: and the voicemail where it turns to her putting the

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Speaker 4: guilt on him.

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Speaker 1: She goes, I'm doing with your friend.

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Speaker 3: Well, that's it, that's it, You're lucky, you're done. Yeah,

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Speaker 3: But I guess I'm just saying, that's the only person

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Speaker 3: I know, like everybody else I know has.

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Speaker 5: Well, did you hear what she said in that?

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Speaker 1: Well, I think you know Karen Reid and think the

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Speaker 1: Karen Reid's awful and is psycho. And that doesn't mean

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Speaker 1: she murdered anyother Yeah, because she was. I would be

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Speaker 1: her friend. She has family, their cops and of course

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Speaker 1: a friend her family. Cops are gonna be like, that's

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Speaker 1: what we lose sting with the cops.

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Speaker 4: Well, no, I think she still thinks the cops are

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Speaker 4: idiots too.

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Speaker 1: But yeah they are. But there's just too many things

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Speaker 1: that they did.

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Speaker 3: I know, it's so weird.

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Speaker 1: There's like nine shady things. If there was one, I

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Speaker 1: could understand it, maybe two. You're like, Okay, the guy

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Speaker 1: broke his SIM card into three parts and dropped it

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Speaker 1: into different because I could convince myself that he did

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Speaker 1: that because there was other stuff on the phone that

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Speaker 1: had other cases that he didn't want to know in

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Speaker 1: a vacuum. I'm like, you know, it does seem shady,

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Speaker 1: but I can wait and go. It absolutely does not

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Speaker 1: mean that it frees her. Okay, But then you go, well,

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Speaker 1: there were like four experts that said, the lacerations on

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Speaker 1: his face and how he fell and the how the

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Speaker 1: car that that couldn't have happened, like based on every

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Speaker 1: single thing that we learned in uh not biology. What

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Speaker 1: was the other one we took, not chemistry, oh, forensicsics.

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Speaker 2: The other science classic chemistry, biology, physics, physics.

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Speaker 1: Based on all the physics, there's no way his body

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Speaker 1: would have ended up like that if that was exactly

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Speaker 1: how he was hit. Also the glass.

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Speaker 3: It's funny. I never took physics up the.

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Speaker 1: Level I can remember the name of it, so I

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Speaker 1: definitely wasn't good at it. Just too many the dog

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Speaker 1: bite on the arm, them tearing their their their carpet up,

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Speaker 1: Jim carpet up, selling the hat. There's just like eighty

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Speaker 1: four different things that happened that in a vacuum. Individually,

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Speaker 1: you could go, okay, it's like Epstein. Any of those

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Speaker 1: one you're like, okay, the camera went out. But when

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Speaker 1: two cameras go out and two guards go to sleep

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Speaker 1: and they just take him off suicide watch, like all

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Speaker 1: at the same time and he ends up dead, that's

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Speaker 1: too many things happening at the same time. That doesn't

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Speaker 1: make it a coincidence.

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Speaker 2: Did they ever talk about what was going on in

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Speaker 2: the house, Like, did they ever get down to why

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Speaker 2: he went in and she didn't.

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Speaker 1: Well, they don't know for sure because there are different reports.

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Speaker 1: Some people say that he never came in. I watched

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Speaker 1: one guy I had a real long beard. I watched

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Speaker 1: him last night, say they were having a swingers party.

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Speaker 1: Now that was just some guy in TikTok talking act

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Speaker 1: like he knew.

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Speaker 2: Oh he wasn't on the stands.

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Speaker 1: No, no, no, Yeah.

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Speaker 4: That's the one I've heard too, is that she they

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Speaker 4: went and they were going to go in, but then

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Speaker 4: they were like, wait, what's really going on in there?

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Speaker 4: So she's like, go in there and check it out

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Speaker 4: and let me know, because I don't know that they

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Speaker 4: wanted to she wanted to swing. But then later when

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Speaker 4: she's calling him a pervert on the phone, she's thinking

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Speaker 4: he stayed in there to swing or something.

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Speaker 1: And there's also the charges, the accusations that the kid,

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Speaker 1: the nephew whatever, was like selling drugs and that's why

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Speaker 1: his fists or there was a fight in the house.

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Speaker 1: There are just so many things. The defense did a

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Speaker 1: great job, but the defense in her first trial wasn't

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Speaker 1: a dream team that she grabbed all the greatest lawyers

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Speaker 1: forever that have existed. It wasn't like there were those

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Speaker 1: are people that came and said, Okay, you're being underserved

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Speaker 1: here and we're gonna come and jump in and prove

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Speaker 1: you didn't do it. And they did. They just hold

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Speaker 1: the jury because they it's probably the dui charged, so

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Speaker 1: twice she was found not guilty. Anyway, I'm glad it's over.

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Speaker 1: I'm tired of thinking about it. It's all on my feet.

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Speaker 1: And also it just makes me mad because people that

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Speaker 1: don't have resources, people that don't have money, There are

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Speaker 1: a lot of them in jail that didn't do it

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Speaker 1: because of cover ups ye that are very similar to this,

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Speaker 1: Like think about it. There are people in jail all

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Speaker 1: over the country right now because they don't have the resources,

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Speaker 1: and that sucks.

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Speaker 2: And she didn't pay Alan Jackson right like he.

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Speaker 1: Was second time. She didn't. Second time they agreed to

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Speaker 1: do it for free, and they're like, we're doing it

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Speaker 1: because we want to see the justice is served. And

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Speaker 1: I'm like, you're doing because you're gonna be able to

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Speaker 1: get hundred TV shows and but who cares.

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Speaker 3: Get paid for that documentary?

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Speaker 2: I don't know, or maybe just the exposure.

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Speaker 3: I mean there's because people are to hire Alan Jackson.

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Speaker 1: She can't write a book. Really, she needs to make

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Speaker 1: some money.

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Speaker 6: So that's what I'm saying. Like, how, now, where does

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Speaker 6: she go from here? Because when she goes applies for

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Speaker 6: an office.

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Speaker 1: Job, she will never apply for an office shop.

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Speaker 5: No, you're not going to work in here.

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Speaker 3: What did she do?

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Speaker 1: I don't mean she did analytics?

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Speaker 2: Did she work in like? I don't know, I don't remember.

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Speaker 3: That has been lost.

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Speaker 1: And she was an adjunct professor at Bentley University teaching finance.

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Speaker 1: She also worked as an equity analyst at Fidelity Investments.

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Speaker 1: She was fired from both positions after her arrest. Justice

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Speaker 1: for Karen read, oh fire, Dad was in money? Okay

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Speaker 1: remember the documentary.

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Speaker 3: No, I didn't remember that part at all, Like that

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Speaker 3: escaped me.

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Speaker 2: But minor details.

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Speaker 3: Yeah, so she could there's work she could do.

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Speaker 1: It won't be in that She's not going to set

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Speaker 1: it into a spreadsheet. She will have one hundred opportunities. Well,

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Speaker 1: and she could go speak. She's just be on speaking

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Speaker 1: to her making one hundred grand a pop, if not

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Speaker 1: for the next couple of years, more than that and

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Speaker 1: that'll probably normalize into fifty seventy thousand dollars.

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Speaker 4: Okay, that makes me curious, like what is someone who

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Speaker 4: she's speaking to?

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Speaker 2: Like, what are anyone?

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Speaker 3: Well not anyone?

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Speaker 4: Yeah, right, Like someone brings her in, Like there's going

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Speaker 4: to be a purpose?

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Speaker 1: What is it? Like?

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Speaker 3: What's it? What is the is it?

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Speaker 4: Resilience, perseverance, don't give up on yourself?

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Speaker 1: All I assume she'll get an agent and they will

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Speaker 1: start to identify what she can speak about and actually

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Speaker 1: be educated on.

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Speaker 2: Yeh or the.

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Speaker 1: Education she's gotten through this process, gotcha? But yeah, all

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Speaker 1: that also of our guess investments.

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Speaker 2: Sure, money finances, but.

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Speaker 1: I'm sure the system, how rigged the system is, I'm

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Speaker 1: sure she could do a podcast and make a ton

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Speaker 1: of money, probably more doing a podcast and doing a book.

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Speaker 4: Maybe she could because she has so much exposure. She

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Speaker 4: could dedicate some of her time or her life to

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Speaker 4: helping others.

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Speaker 1: That both they don't have any media exclusive you can

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Speaker 1: make money and also help others.

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Speaker 3: Oh exactly, Yes, That's why I said some of her time.

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Speaker 1: But you can even take the time that you're making

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Speaker 1: money to help others the.

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Speaker 2: Goal right there? Huh, that's the goal right there.

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Speaker 1: Sure Amanda Knox is public speaking mm hmm, Like she

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Speaker 1: speaks all the time. That's probably how she makes a

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Speaker 1: lot of her money.

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Speaker 2: And then she trying to be a lawyer to she's

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Speaker 2: a lawyer now right.

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Speaker 1: She does mediathics and she does justice reform. I don't

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Speaker 1: know if she's an actual lawyer, Mike, can you see

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Speaker 1: if she's a lawyer, but I know she speaks on

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Speaker 1: that like like basically what she went through now hers

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Speaker 1: was in Italy. Amanda Knox is not a lawyer. You're

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Speaker 1: spreading fake news and probably in what I just told you,

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Speaker 1: she's trying to be like, no, that's Kim Kardashian.

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Speaker 2: No, there was someone that.

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Speaker 1: She's become an advocate for criminal justice reform and wrongful convictions.

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Speaker 1: She does not have a law degree or practice law.

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Speaker 1: She is primarily known for her own case where she

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Speaker 1: was wrongly convicted a murder and later exonerated. She has

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Speaker 1: leveraged her experiences to become an author, podcaster for a

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Speaker 1: public speaker.

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Speaker 4: There you go, Okay, so that that could be a

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Speaker 4: career path for Karen, but not lawyer.

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Speaker 1: She'll have a winfall of money in the next year

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Speaker 1: and then it'll come and then she'll know how to

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Speaker 1: investate pretty regularly for the next five or six years.

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Speaker 1: Monica Lewinsky still speaks, and she didn't do anything wrong.

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Speaker 1: She didn't eve get accused of doing anything wrong because

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Speaker 1: Karen Reid didn't do anything. I guess she duied. So, yeah,

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Speaker 1: she did something wrong. But if you have notoriety, you

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Speaker 1: can speak on something because something happened to you, good

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Speaker 1: or bad, something that you learned from, something that you

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Speaker 1: can teach people about. Absolutely, Monica Lewinsky might be a lawyer.

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Speaker 1: I don't know that that's true. But now you have

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Speaker 1: me searching thinking.

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Speaker 2: Of them, thinking of someone that got arrested and then

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Speaker 2: wrongly convicted. And then now they're like, isn't that book

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Speaker 2: you read that mercy? I don't know.

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Speaker 1: Anna Klownski a lawyer.

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Speaker 2: Mike by any chance, he's not a lawyer.

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Speaker 5: Yeah, well, Kim Kardashian.

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Speaker 1: Kind of a lawyer, not a lawyer, kind of not

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Speaker 1: a lawyer.

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Speaker 5: She passed some tests, I said.

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Speaker 1: Like four times. Yeah, not Kardashian. She's not a lawyer.

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Speaker 1: She has not she's not passed the test she completed.

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Speaker 2: She completed.

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Speaker 1: That's not that's not. That's not the bar.

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Speaker 2: The wet bar, that's also bar.

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Speaker 1: She completed a four year like law office study program.

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Speaker 3: Like palegal type of thing.

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Speaker 1: I don't know the difference really, so I don't want

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Speaker 1: to insult anyone, but that is not the bar. She

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Speaker 1: has not taken the bar. She took like a basically

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Speaker 1: a practice s A.

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Speaker 3: T oh okay.

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Speaker 1: She passed the Multi State Professional Responsibility Exam, a required

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Speaker 1: test for bar admission in several US jurisdictions. So that's

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Speaker 1: what's the baby bar. It's like taking the baby sat

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Speaker 1: or baby act.

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Speaker 3: I called it mini.

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Speaker 1: Yeah, no, no, you said baby Eddie said Minnie.

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Speaker 2: I think she said many. Oh you said I said

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Speaker 2: what bar said?

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Speaker 1: He said there was some sort of elevation that was funny.

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Speaker 5: Uh yeah.

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Speaker 1: So Karen Reid Karen Reid not a jew, not a lawyer.

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Speaker 1: I don't know. She might be Jewish. How old Karen read?

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Speaker 1: No way?

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Speaker 2: What's that her age?

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Speaker 1: Mike, there's no way that's right. That can't be right.

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Speaker 1: How old Karen read amy.

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Speaker 3: Forty five?

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Speaker 2: A nono? They're older?

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Speaker 1: I thought Karen read out of guest are like forty six?

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Speaker 2: Yeah?

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Speaker 1: Same, that can't be right. She's fifty okay, good, we

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Speaker 1: googled it. She's forty five? Is that sixty five?

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Speaker 2: Okay?

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Speaker 1: And that was like bro's right, plastic surgeries. We didn't

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Speaker 1: get hers because she's crushing it.

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Speaker 2: That's what she's not, right. Yeah.

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Speaker 1: Yeah, what about turtle boy? He wrote, turtle boy, think

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Speaker 1: about it. Turtle boy not a.

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Speaker 2: Lawyer, That's what I was thinking. Who's turtle boy? Come on,

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Speaker 2: no clue.

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Speaker 1: The guy that started doing it online started talking about

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Speaker 1: the Karen Reid case as well.

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Speaker 2: Oh turtle boy, Yeah, I mean it was first case.

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Speaker 2: He was. He was the one that got all the attention.

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Speaker 2: And I will give credit to Amy. Amy is the

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Speaker 2: one that brought to us. We would have never really, don't.

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Speaker 4: I think eventually you would have caught on to it,

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Speaker 4: because then it got big.

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Speaker 3: I just happened to have a friend tell me.

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Speaker 2: If you did it before everyone else though, you're like,

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Speaker 2: there's this body in the snow, dug.

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Speaker 4: Well, my friend said her group of friends it was

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Speaker 4: like a challenge to all watch it, and they weren't

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Speaker 4: sharing their perspective because they wanted they didn't want to

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Speaker 4: influence each other. And so then that's what I brought

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Speaker 4: to us of like we should watch it and not

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Speaker 4: share and then see what we think.

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Speaker 3: But anyway, she.

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Speaker 2: Was guilty to me immediately.

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Speaker 1: She has a guilty face. Yeah, guilty face is guilty

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Speaker 1: face for sure.

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Speaker 2: Just like, man, this this woman's odd.

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Speaker 1: Yeah, just looking at are you root against her? But

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Speaker 1: then you're like, you know, I don't think she did it.

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Speaker 1: Then you get mad at the system because the system's

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00:17:07,160 --> 00:17:09,919
Speaker 1: uglier than any person can seem. I'm not to talk

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Speaker 1: about physically, but the system when it's against somebody, it

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Speaker 1: almost doesn't matter who that person is, how they act,

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Speaker 1: if they're stiff and waiters or waitresses, you're still like,

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Speaker 1: I vote for them. Yeah, that's it. Let's start with that, Amy.

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Speaker 1: What do you have over there?

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Speaker 4: The Dallas Cowboy cheerleaders got a four hundred percent pay rose.

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Speaker 2: They were good for the team.

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Speaker 1: Wasn't really about paying That job was never really about

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Speaker 1: making money. That's almost like a prestige job.

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Speaker 3: Yeah, it's like an honor to be chosen and selected

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Speaker 3: as a Dallas count.

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Speaker 1: That's what I always thought it was. So what were

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Speaker 1: they making?

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Speaker 4: Like they were making around fifteen to twenty dollars an hour,

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Speaker 4: and now they revealed this on their Netflix series America

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Speaker 4: Sweethearts officially back as of yesterday, seventy five dollars an

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Speaker 4: hour for veterans, and then like new.

401
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Speaker 1: People they served in the war, they're also.

402
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Speaker 3: No just they've been on the team before.

403
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Speaker 1: I wonder when those hours count though, Do those hours

404
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Speaker 1: count of practice? Do those hours counted events? Or is

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Speaker 1: it only the hours during game?

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Speaker 4: I think it's got to count as good good question,

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Speaker 4: but I would assume it counts as practices. And then

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Speaker 4: I think they get like a lump sum for like

409
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Speaker 4: a game and appearances are different, but it's got to

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Speaker 4: be like any work you're doing around it.

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Speaker 1: So they don't get paid by the hour for games.

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Speaker 3: Let me see it says here.

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Speaker 4: Previously they were reportedly making fifteen to twenty dollars an

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Speaker 4: hour and five hundred per game.

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Speaker 1: I a lot. They count hours by tracking their time

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Speaker 1: dedicated rehearsals, games, appearances, and other activity. So it's all hourly.

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Speaker 4: Okay all but then but they do get a per

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Speaker 4: game like month on top of it. Yes, five hundred

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Speaker 4: dollars per game.

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Speaker 2: I wonder if you can make like the practice squad

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Speaker 2: and not play the game.

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Speaker 1: Well, you know, it's not so much a practice squad

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Speaker 1: like football, as it is like when a jury has

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Speaker 1: an extra person.

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Speaker 7: M hm.

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Speaker 2: You like, so like they practice with everyone, but then

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Speaker 2: well the juror goes down.

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00:19:06,320 --> 00:19:10,080
Speaker 1: Well, no, they have the rule like an understall team. Sure,

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Speaker 1: if you want a Broadway at sure, but no, we

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Speaker 1: don't have to learn like a specific person's role. An

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Speaker 1: understudy would learn a specific person's role.

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Speaker 3: Gotcha that that's a good point.

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Speaker 1: So just steer back up like an alternate, an alternate juror.

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Speaker 1: So you're an alternate. If Tracy goes down, Monica, you're

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Speaker 1: in just waiting. Yeah, I would assume like you.

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00:19:28,960 --> 00:19:29,919
Speaker 2: Yeah you.

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00:19:30,960 --> 00:19:34,760
Speaker 1: Dallas Cowboy cheerleaders have recently secure to four hundred percent

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00:19:34,760 --> 00:19:37,120
Speaker 1: pay increased, resulting in veteran cheerleaders making more than seventy

439
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Speaker 1: five dollars an hour. Prior to this, they were making

440
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Speaker 1: twenty bucks per hour or five hundred a game. So

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Speaker 1: they're not making the lump anymore. It's all seventy five

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Speaker 1: bucks an hour, which is more money.

443
00:19:46,800 --> 00:19:47,240
Speaker 3: It says.

444
00:19:47,359 --> 00:19:50,360
Speaker 4: The new pay structure also includes increased compensation for game

445
00:19:50,440 --> 00:19:51,760
Speaker 4: days and promotional events.

446
00:19:51,800 --> 00:19:54,679
Speaker 1: Yeah, they make more money because they're there are more

447
00:19:54,680 --> 00:19:56,320
Speaker 1: hours than the five hundred would have paid that, Okay,

448
00:19:56,480 --> 00:19:58,360
Speaker 1: I literally don't care. I was just like, look, I.

449
00:19:58,280 --> 00:20:00,159
Speaker 2: Mean Jerry's dealing with that negotiation.

450
00:20:01,560 --> 00:20:05,680
Speaker 4: I think his daughter does I believe it, Charlie Yah, Yeah,

451
00:20:05,760 --> 00:20:07,720
Speaker 4: I still her In the documentary.

452
00:20:07,760 --> 00:20:11,800
Speaker 1: The Daughter thirty six women on the team, it seems.

453
00:20:11,520 --> 00:20:16,160
Speaker 4: Grueling, quite honestly, to be the one A lot of work,

454
00:20:16,560 --> 00:20:18,119
Speaker 4: and I don't know if grueling is the term.

455
00:20:18,240 --> 00:20:20,320
Speaker 1: Would It seems like they really want.

456
00:20:20,200 --> 00:20:21,600
Speaker 2: To do it. I mean there was a whole like

457
00:20:21,840 --> 00:20:22,679
Speaker 2: I mean, I'm.

458
00:20:22,520 --> 00:20:23,399
Speaker 1: Not saying it's not hard.

459
00:20:23,880 --> 00:20:26,400
Speaker 2: There's a difference, Okay, Like the trailers I've seen, the're

460
00:20:26,400 --> 00:20:27,399
Speaker 2: like crying, like.

461
00:20:27,920 --> 00:20:28,719
Speaker 1: That's a tryout, right.

462
00:20:29,720 --> 00:20:31,800
Speaker 8: I watched the first episode last night, and it gets

463
00:20:31,880 --> 00:20:33,800
Speaker 8: kind of sad that people who come back who have

464
00:20:33,880 --> 00:20:35,600
Speaker 8: been trying to make it for years, you feel bad

465
00:20:35,640 --> 00:20:36,040
Speaker 8: for them.

466
00:20:37,520 --> 00:20:41,119
Speaker 1: Grueling is when you don't want to do it and

467
00:20:41,160 --> 00:20:43,520
Speaker 1: you still have to get through it. I feel like

468
00:20:43,560 --> 00:20:46,600
Speaker 1: that would be a definition of grueling. Hard work that sucks.

469
00:20:46,680 --> 00:20:49,040
Speaker 1: It's hard work, but it's also awesome because you get

470
00:20:49,040 --> 00:20:50,280
Speaker 1: to be a Dallas Cowboy cheerleader.

471
00:20:50,320 --> 00:20:53,879
Speaker 4: Okay, So the exact definition of grueling is extremely tiring

472
00:20:53,920 --> 00:20:54,960
Speaker 4: and demanding.

473
00:20:56,280 --> 00:20:59,399
Speaker 1: Negative connotation on grueling though, Okay, so give me the

474
00:20:59,440 --> 00:21:01,960
Speaker 1: word then, I mean, like it's well, I'm not the

475
00:21:01,960 --> 00:21:04,320
Speaker 1: word police, so I really can't. But I would say

476
00:21:04,359 --> 00:21:06,960
Speaker 1: I just want the right word. That one works. You

477
00:21:06,960 --> 00:21:12,320
Speaker 1: can have Groulingling feels negative, like you don't want to

478
00:21:12,359 --> 00:21:13,520
Speaker 1: do it and you still have to do it.

479
00:21:13,560 --> 00:21:14,840
Speaker 3: Okay, I see what you're saying.

480
00:21:15,119 --> 00:21:16,919
Speaker 1: Where these people want to be, they're dying to be

481
00:21:16,920 --> 00:21:17,879
Speaker 1: done with a cowboy cheerleader.

482
00:21:17,960 --> 00:21:18,120
Speaker 4: Yeah.

483
00:21:18,160 --> 00:21:18,320
Speaker 1: Yeah.

484
00:21:18,359 --> 00:21:19,160
Speaker 3: So is it taxing?

485
00:21:19,960 --> 00:21:20,040
Speaker 7: No?

486
00:21:20,320 --> 00:21:23,359
Speaker 5: Sure, Oh, TAXI might be good, I.

487
00:21:24,000 --> 00:21:26,440
Speaker 2: Think and that thought the plane goes around the tarmac.

488
00:21:26,560 --> 00:21:30,760
Speaker 1: That's tax tax Wait, Mike, literally none of the matters.

489
00:21:30,880 --> 00:21:32,159
Speaker 1: I wouldn't fight for any of this.

490
00:21:32,800 --> 00:21:34,560
Speaker 3: I haven't watched the first ep. It was it good?

491
00:21:35,000 --> 00:21:35,640
Speaker 1: I like it.

492
00:21:36,000 --> 00:21:37,080
Speaker 3: Okay, I do too.

493
00:21:37,160 --> 00:21:40,680
Speaker 4: I'm saving I'm I'm gonna save it up to when

494
00:21:40,720 --> 00:21:42,520
Speaker 4: I can watch more other things that are grueling.

495
00:21:45,080 --> 00:21:45,280
Speaker 9: Oh.

496
00:21:46,119 --> 00:21:50,440
Speaker 3: I think people that have to do fill in potholes grueling.

497
00:21:50,480 --> 00:21:52,880
Speaker 2: In the hot summer suns grueling.

498
00:21:53,200 --> 00:21:57,479
Speaker 4: Or like road construction taxing, Like I see, there's been

499
00:21:57,520 --> 00:21:58,960
Speaker 4: a lot of work around where I live right now,

500
00:21:59,040 --> 00:22:00,520
Speaker 4: and I'm like, that'sling.

501
00:22:00,640 --> 00:22:02,720
Speaker 1: I would also say grueling has to do with physical

502
00:22:04,320 --> 00:22:09,000
Speaker 1: So I think taxing has to do with mental taxing,

503
00:22:09,560 --> 00:22:12,320
Speaker 1: because I think when you do your taxes, you're thinking

504
00:22:12,359 --> 00:22:12,840
Speaker 1: about it.

505
00:22:13,520 --> 00:22:16,040
Speaker 5: Seeing definition is physically or mentally demanding.

506
00:22:16,200 --> 00:22:18,960
Speaker 4: Yeah, I think being a Dallas cowboy cheer later is that.

507
00:22:19,040 --> 00:22:20,760
Speaker 4: I think it's physically mentally demanding.

508
00:22:21,640 --> 00:22:23,880
Speaker 2: Amy's talking about construction. There's some of my house too,

509
00:22:24,000 --> 00:22:27,040
Speaker 2: And like early in the day, I'll see the people

510
00:22:27,119 --> 00:22:29,080
Speaker 2: you know that say stop, they turn down the signs

511
00:22:29,119 --> 00:22:31,399
Speaker 2: to stop and go or whatever, like I wave to them.

512
00:22:31,440 --> 00:22:33,639
Speaker 2: They're all friendly, and then later in the day come by,

513
00:22:33,680 --> 00:22:37,040
Speaker 2: they're just like exhausted, like theyre did not want to

514
00:22:37,040 --> 00:22:38,960
Speaker 2: be there. You can just tell that's so hard for

515
00:22:39,000 --> 00:22:42,320
Speaker 2: them just to stand there, and they're not really evening

516
00:22:42,320 --> 00:22:42,640
Speaker 2: the sign.

517
00:22:42,760 --> 00:22:45,639
Speaker 1: I drove up yesterday to one and they had stop

518
00:22:45,680 --> 00:22:47,080
Speaker 1: on and I sat there for three or four minutes

519
00:22:47,080 --> 00:22:50,399
Speaker 1: because I could see the backo that was right on

520
00:22:50,440 --> 00:22:53,080
Speaker 1: the side of the road that was digging, and so

521
00:22:53,119 --> 00:22:55,320
Speaker 1: I'm just waiting. I'm not in a hurry, and they

522
00:22:55,359 --> 00:22:57,040
Speaker 1: have stop and I keep waiting and I wait for

523
00:22:57,080 --> 00:23:00,440
Speaker 1: five seven minutes, and then finally the looks at me

524
00:23:00,480 --> 00:23:01,880
Speaker 1: and goes. I just turn around to get out of here,

525
00:23:02,240 --> 00:23:03,280
Speaker 1: and I was like, I just have for five or

526
00:23:03,280 --> 00:23:05,240
Speaker 1: seven minutes, and now you're telling me to leave or

527
00:23:05,240 --> 00:23:06,320
Speaker 1: you're never get to set me through.

528
00:23:07,080 --> 00:23:08,280
Speaker 2: That's a long time. Yeah.

529
00:23:09,200 --> 00:23:10,600
Speaker 1: I wasn't in a hurry, but then I would like

530
00:23:10,600 --> 00:23:11,080
Speaker 1: to go through.

531
00:23:11,240 --> 00:23:12,399
Speaker 2: What if you hurry tho?

532
00:23:12,560 --> 00:23:14,560
Speaker 1: They just decided you can't even go through? Just turn

533
00:23:14,560 --> 00:23:16,600
Speaker 1: around and go man, like tell me that at the beginning.

534
00:23:16,640 --> 00:23:18,199
Speaker 1: Let me find an alternate route to begin with.

535
00:23:18,920 --> 00:23:21,000
Speaker 2: Well, their jobs taxing, so be patient.

536
00:23:21,200 --> 00:23:21,800
Speaker 3: It's grueling.

537
00:23:21,880 --> 00:23:22,240
Speaker 2: Grueling.

538
00:23:23,760 --> 00:23:26,000
Speaker 3: I found the word. I found the word for the cheerleaders.

539
00:23:26,400 --> 00:23:28,080
Speaker 1: You can have any word you want all I was

540
00:23:28,080 --> 00:23:30,640
Speaker 1: associated with. What if I were using the word grueling

541
00:23:30,920 --> 00:23:32,680
Speaker 1: would would not be a word I would use for

542
00:23:32,720 --> 00:23:33,840
Speaker 1: the Dallas Cowboy cheerleaders.

543
00:23:33,880 --> 00:23:37,119
Speaker 4: And I agree with you now that we've talked it through. Okay, man,

544
00:23:37,400 --> 00:23:38,520
Speaker 4: it's very rigorous.

545
00:23:38,720 --> 00:23:42,880
Speaker 1: I agree with that training process. Rigorous.

546
00:23:42,960 --> 00:23:45,840
Speaker 3: There we go. We found I knew we'd get there, guys, rigorous.

547
00:23:45,880 --> 00:23:47,720
Speaker 3: It just takes banter.

548
00:23:48,640 --> 00:23:50,840
Speaker 2: Yeah, this is like hard, right heart and tough.

549
00:23:51,440 --> 00:23:53,439
Speaker 1: I bet you somebody will read the definition for us.

550
00:23:53,680 --> 00:23:57,960
Speaker 4: Oh one second, please, I shall, I shall, guys, I

551
00:23:58,000 --> 00:23:58,280
Speaker 4: got it.

552
00:23:58,320 --> 00:23:58,920
Speaker 3: Don't worry.

553
00:23:59,160 --> 00:24:06,920
Speaker 4: Rigorous coming at you extremely tough, exhaustive, and hard or accurate.

554
00:24:10,160 --> 00:24:11,880
Speaker 1: I hate when a definition you look it up, it's

555
00:24:11,880 --> 00:24:14,240
Speaker 1: like rigorous to be full of rigor.

556
00:24:16,760 --> 00:24:16,920
Speaker 7: Down.

557
00:24:18,280 --> 00:24:20,040
Speaker 1: They just lead you on a breadcrumb trail to a

558
00:24:20,080 --> 00:24:20,640
Speaker 1: different one.

559
00:24:20,720 --> 00:24:23,639
Speaker 4: Oh, it doesn't even say tough, it's as thorough. The

560
00:24:23,720 --> 00:24:24,960
Speaker 4: problem is I can't read.

561
00:24:24,800 --> 00:24:27,600
Speaker 1: And I don't like them borrow exhaustive or accurate. Yeah

562
00:24:27,640 --> 00:24:28,000
Speaker 1: you couldn't.

563
00:24:29,160 --> 00:24:30,640
Speaker 3: No, I didn't have them on. That's the problem.

564
00:24:30,640 --> 00:24:32,640
Speaker 4: I don't like wearing them that then I can't see.

565
00:24:32,680 --> 00:24:34,399
Speaker 4: Like the last night, I'm trying to read a bottle

566
00:24:34,440 --> 00:24:36,080
Speaker 4: to see how much sugar was in it, and I

567
00:24:36,200 --> 00:24:37,280
Speaker 4: literally could not see it.

568
00:24:37,320 --> 00:24:39,760
Speaker 3: But on my glasses I could see it perfectly. Fifteen grams.

569
00:24:40,240 --> 00:24:42,360
Speaker 1: It's like it's no contexts.

570
00:24:42,960 --> 00:24:46,040
Speaker 3: No, it's just for reading smaller letters. And like, just

571
00:24:46,119 --> 00:24:46,560
Speaker 3: now that.

572
00:24:46,600 --> 00:24:50,040
Speaker 1: Your eyes is going bad, so maybe we're contacts. I

573
00:24:50,040 --> 00:24:50,359
Speaker 1: don't know.

574
00:24:50,400 --> 00:24:52,480
Speaker 3: Do you get contexts for reading glasses?

575
00:24:52,520 --> 00:24:54,240
Speaker 2: Not that I know what I'm saying.

576
00:24:54,320 --> 00:24:56,359
Speaker 1: Isn't it bigger than just reading? It feels like it's

577
00:24:56,440 --> 00:24:57,880
Speaker 1: if you just can't read letters.

578
00:24:57,960 --> 00:25:00,920
Speaker 4: I can read letters if there are certain size. It's

579
00:25:00,960 --> 00:25:05,240
Speaker 4: when they're a smaller print that I struggle So.

580
00:25:05,680 --> 00:25:07,800
Speaker 1: Isn't that your eyes getting worse though? Just in general?

581
00:25:08,080 --> 00:25:09,560
Speaker 3: Yeah, I don't know, Bobby. I just went to the

582
00:25:09,600 --> 00:25:10,040
Speaker 3: eye doctor.

583
00:25:10,080 --> 00:25:13,320
Speaker 4: In the definition, please, I went to the eye doctor

584
00:25:13,440 --> 00:25:16,400
Speaker 4: and they said this is what I needed, reading glasses.

585
00:25:16,400 --> 00:25:18,879
Speaker 4: They didn't say anything about contexts because I mean.

586
00:25:18,880 --> 00:25:20,240
Speaker 1: Overall, like get a monocle.

587
00:25:20,920 --> 00:25:23,440
Speaker 2: Oh, let's bring that back the one lens.

588
00:25:24,240 --> 00:25:27,360
Speaker 1: But it is like the chain from her pocket, like right.

589
00:25:27,200 --> 00:25:29,879
Speaker 4: Now it says some word under it, like that's a

590
00:25:29,920 --> 00:25:33,480
Speaker 4: similar word, a synonym, and I can't.

591
00:25:33,200 --> 00:25:38,440
Speaker 1: See what it is. I'll have a synonym roll.

592
00:25:38,400 --> 00:25:43,480
Speaker 4: Please, Okay, So now i'd put on the glasses meticulous nice.

593
00:25:45,600 --> 00:25:50,160
Speaker 4: Oh no, I'm saying it's a synonym torigor I get it, lunchbox.

594
00:25:50,480 --> 00:25:52,959
Speaker 5: You listen to here, brother, I'm not dying.

595
00:25:53,240 --> 00:25:56,000
Speaker 6: There's all these rumors that Hulk Hogan is dying. On

596
00:25:56,040 --> 00:25:58,399
Speaker 6: his last breath, he said, I'm just in the hospital

597
00:25:58,440 --> 00:25:59,320
Speaker 6: for a little back issue.

598
00:25:59,359 --> 00:25:59,960
Speaker 5: Don't worry about me.

599
00:26:00,160 --> 00:26:00,639
Speaker 6: I'm alive.

600
00:26:00,720 --> 00:26:02,600
Speaker 5: I'm well, so don't bury me yet.

601
00:26:02,640 --> 00:26:07,080
Speaker 1: Brother. I saw the headline that the hul Cogan's not dead.

602
00:26:07,160 --> 00:26:09,120
Speaker 1: I never saw the headline that Hulkogan might be dead.

603
00:26:09,800 --> 00:26:11,639
Speaker 1: I think this is the Hull Cogan created story.

604
00:26:12,280 --> 00:26:12,920
Speaker 5: That's what it is.

605
00:26:13,000 --> 00:26:16,520
Speaker 1: I never saw the Hull Cogans waits rush to the hospital.

606
00:26:17,200 --> 00:26:19,600
Speaker 1: Never he was I don't know, had some kind of surgery.

607
00:26:19,640 --> 00:26:21,440
Speaker 4: Do you think maybe he had the surgery and let's

608
00:26:21,440 --> 00:26:23,000
Speaker 4: turn it into this maybe I'm dead.

609
00:26:23,119 --> 00:26:26,600
Speaker 3: Yes, okay, because I never like wrestlers, this is your sting.

610
00:26:26,640 --> 00:26:27,400
Speaker 2: That could be kind of fun.

611
00:26:27,480 --> 00:26:29,000
Speaker 1: Like once I sent a letter to hol cogaan and

612
00:26:29,000 --> 00:26:29,960
Speaker 1: I thought he was hurt for real when I was

613
00:26:30,000 --> 00:26:31,679
Speaker 1: a kid and got a postcard back. He just went

614
00:26:31,720 --> 00:26:33,720
Speaker 1: off shoot a movie. But in wrestling he got hurt.

615
00:26:33,880 --> 00:26:35,959
Speaker 1: So I sent a letter because they said you can

616
00:26:35,960 --> 00:26:37,679
Speaker 1: send a Hull Coogan letter to the hospital, and I did.

617
00:26:37,760 --> 00:26:38,720
Speaker 1: I got a postcard back.

618
00:26:38,800 --> 00:26:39,200
Speaker 2: That's cool.

619
00:26:39,240 --> 00:26:42,840
Speaker 1: Yeah, I was nineteen anyway last year.

620
00:26:44,119 --> 00:26:44,359
Speaker 5: Yeah.

621
00:26:44,400 --> 00:26:49,320
Speaker 1: I think that this is just the Hogan team creating

622
00:26:49,359 --> 00:26:52,080
Speaker 1: this story after the fact, because I never saw anybody

623
00:26:52,080 --> 00:26:54,720
Speaker 1: thinking Hulkgan was dying. I only saw the story Hulkogan's

624
00:26:54,800 --> 00:26:55,120
Speaker 1: not dead.

625
00:26:55,480 --> 00:26:57,320
Speaker 6: I'm with you because I'm I was like, I guess

626
00:26:57,359 --> 00:26:58,920
Speaker 6: I missed it, and I'm that's crazy that.

627
00:26:58,840 --> 00:26:59,560
Speaker 5: People thought he was there.

628
00:26:59,600 --> 00:27:02,159
Speaker 6: But sometimes on Twitter, people do start trending and everybody's like, oh, no,

629
00:27:02,200 --> 00:27:03,879
Speaker 6: are they dying, but I never saw.

630
00:27:03,800 --> 00:27:06,320
Speaker 5: With huld Cogan. But good news is, brother, he's not

631
00:27:06,440 --> 00:27:07,080
Speaker 5: going anywhere.

632
00:27:07,119 --> 00:27:08,600
Speaker 2: We got your brother.

633
00:27:09,600 --> 00:27:09,959
Speaker 3: Okay.

634
00:27:10,040 --> 00:27:13,720
Speaker 9: So, and a former employee of a bank is suing

635
00:27:14,040 --> 00:27:17,560
Speaker 9: her ex company because they put a doll in her chair.

636
00:27:18,320 --> 00:27:19,600
Speaker 1: Okay, tell me more about the doll.

637
00:27:19,760 --> 00:27:20,080
Speaker 3: Okay.

638
00:27:20,119 --> 00:27:23,520
Speaker 9: So this woman she had filed and said like she

639
00:27:23,640 --> 00:27:29,200
Speaker 9: had a fear of dolls, and ask.

640
00:27:27,920 --> 00:27:29,760
Speaker 3: Oh my gosh, that's exactly what we would do.

641
00:27:29,760 --> 00:27:30,280
Speaker 2: Here, yeah, lunch.

642
00:27:30,600 --> 00:27:32,040
Speaker 1: Yeah, but this is a bit. We have a show

643
00:27:32,040 --> 00:27:34,280
Speaker 1: where we do bits. We've done snakes for him, but

644
00:27:34,359 --> 00:27:36,360
Speaker 1: we would be like, hey, everybody, we're going to do it,

645
00:27:36,480 --> 00:27:38,399
Speaker 1: and our whole show is that you're working in a bank.

646
00:27:39,160 --> 00:27:40,560
Speaker 2: I don't know, dude, that sounds fun.

647
00:27:41,400 --> 00:27:43,280
Speaker 1: Someone's fear, go ahead. Morgan finished up.

648
00:27:43,359 --> 00:27:45,959
Speaker 9: So basically she had like filed when she first started

649
00:27:45,960 --> 00:27:49,120
Speaker 9: with this company that she had some like depressive disorder

650
00:27:49,200 --> 00:27:54,520
Speaker 9: and anxiety autoimmune vidalago. And she believes that her employer

651
00:27:54,800 --> 00:28:00,040
Speaker 9: was using like retaliation for basically filing for disability and

652
00:28:00,080 --> 00:28:03,439
Speaker 9: putting the doll because they knew she had PTSD around dolls.

653
00:28:03,880 --> 00:28:07,000
Speaker 9: And then she claimed further PTSD from the doll incident,

654
00:28:07,000 --> 00:28:08,359
Speaker 9: and now she's suing them over this.

655
00:28:08,560 --> 00:28:10,720
Speaker 1: You work at a corporation, though, that's just dumb, regardless

656
00:28:10,720 --> 00:28:12,080
Speaker 1: of how you feel about the doll. I don't know

657
00:28:12,119 --> 00:28:14,240
Speaker 1: her backstory. When you work at a corporation that has

658
00:28:14,280 --> 00:28:16,720
Speaker 1: an HR department and there are all these filings that

659
00:28:16,720 --> 00:28:18,760
Speaker 1: are on record and you're gonna take what she's filed

660
00:28:18,880 --> 00:28:21,159
Speaker 1: and then put it in her chair, that's just stupid

661
00:28:21,160 --> 00:28:23,560
Speaker 1: because you're gonna be in trouble. You're probably gonna get fired.

662
00:28:23,920 --> 00:28:26,280
Speaker 1: It's gonna be on your I don't know if there's

663
00:28:26,280 --> 00:28:27,960
Speaker 1: such as the permanent record, but when someone else tries

664
00:28:27,960 --> 00:28:29,840
Speaker 1: to hire you, they're going to look us up and go, hey,

665
00:28:29,840 --> 00:28:32,399
Speaker 1: why were you fired from that last bank? Put a

666
00:28:32,480 --> 00:28:35,520
Speaker 1: chucky doll in a girl's seat? Well, okay, that's kind

667
00:28:35,520 --> 00:28:38,920
Speaker 1: of funny. Why Well, we didn't like her because she

668
00:28:38,960 --> 00:28:40,840
Speaker 1: said she had PTSD and it's.

669
00:28:40,640 --> 00:28:41,680
Speaker 2: Just a bit of le goo.

670
00:28:42,520 --> 00:28:42,720
Speaker 3: Yeah.

671
00:28:42,720 --> 00:28:44,360
Speaker 9: And it wasn't even just like a regular employee.

672
00:28:44,400 --> 00:28:45,120
Speaker 3: It was a manager.

673
00:28:45,520 --> 00:28:47,680
Speaker 1: A former employee a North Krona based company is suing

674
00:28:47,920 --> 00:28:50,680
Speaker 1: after the manager placed a chucky doll despite knowing she

675
00:28:50,760 --> 00:28:53,280
Speaker 1: had a tremendous fear of dolls.

676
00:28:53,520 --> 00:28:55,880
Speaker 2: And chucky is like the mother of scary dolls.

677
00:28:57,840 --> 00:29:00,000
Speaker 1: According to court documents, during her final week in June

678
00:29:00,000 --> 00:29:04,640
Speaker 1: twenty twenty four, the manager, despite knowing her fear of dolls,

679
00:29:05,120 --> 00:29:08,640
Speaker 1: put a chucky doll on laughed. The incident worsened her condition. Look,

680
00:29:08,680 --> 00:29:13,320
Speaker 1: do I think that I'm gonna speak completely uneducated on

681
00:29:13,320 --> 00:29:15,960
Speaker 1: this situation. It's stupid this she's fad of dolls. But

682
00:29:15,960 --> 00:29:17,160
Speaker 1: I don't know what happened with the dolls. She could

683
00:29:17,160 --> 00:29:18,520
Speaker 1: have been like assaulting with the doll as a kid,

684
00:29:19,560 --> 00:29:22,840
Speaker 1: and that could have, but honestly created that fear. When

685
00:29:22,840 --> 00:29:24,840
Speaker 1: you just hear somebody's afraid of dolls, you go that stupid,

686
00:29:24,840 --> 00:29:27,640
Speaker 1: It's just a doll. But then if you think about

687
00:29:27,680 --> 00:29:31,680
Speaker 1: the reasons it could Now we're inventing the story. But yeah,

688
00:29:31,720 --> 00:29:34,000
Speaker 1: you don't mess with somebody with what they've been messed

689
00:29:34,040 --> 00:29:40,200
Speaker 1: with before and they're they have it listed as something

690
00:29:40,240 --> 00:29:43,800
Speaker 1: that they are scared of or they've been affected by.

691
00:29:44,360 --> 00:29:46,479
Speaker 2: Yeah, one of my boys when he was younger, one

692
00:29:46,520 --> 00:29:49,000
Speaker 2: of the boys that we've adopted, when he was younger,

693
00:29:49,080 --> 00:29:51,239
Speaker 2: he would I guess they would watch a show that

694
00:29:51,320 --> 00:29:53,680
Speaker 2: really scared him. And he cannot see that character. He's

695
00:29:53,760 --> 00:29:57,560
Speaker 2: ten years old though, like that character if he just

696
00:29:57,720 --> 00:29:59,760
Speaker 2: something about it, just doesn't want to see it brings

697
00:29:59,800 --> 00:30:00,720
Speaker 2: back bad memories.

698
00:30:01,160 --> 00:30:02,560
Speaker 1: He's not an adult in an office.

699
00:30:02,600 --> 00:30:04,680
Speaker 2: Though. I'm saying, like, I don't know if that'll ever

700
00:30:04,720 --> 00:30:05,120
Speaker 2: go away.

701
00:30:07,280 --> 00:30:09,000
Speaker 1: I'm not going to discount your story. I don't care

702
00:30:09,080 --> 00:30:11,880
Speaker 1: enough about it. Not your story, just this story in general.

703
00:30:11,960 --> 00:30:14,600
Speaker 1: But I'm saying that manager is stupid. Even if you

704
00:30:14,640 --> 00:30:17,760
Speaker 1: hate the person, it's documented she scared of dolls. Even

705
00:30:17,800 --> 00:30:19,280
Speaker 1: if that doll didn't scare, all she has to do

706
00:30:19,320 --> 00:30:22,680
Speaker 1: is go, oh, I'm scared, and I shall follow awsuit,

707
00:30:22,720 --> 00:30:24,920
Speaker 1: and then everybody gets in trouble, like, don't be an idiot.

708
00:30:28,760 --> 00:30:30,400
Speaker 1: I'm also fired up about the yogurt thing that you

709
00:30:30,400 --> 00:30:31,320
Speaker 1: guys don't know anything about.

710
00:30:32,120 --> 00:30:34,440
Speaker 2: No, no clue.

711
00:30:35,720 --> 00:30:37,000
Speaker 1: You guys caught me fired up for this thing.

712
00:30:37,600 --> 00:30:38,719
Speaker 2: Did you figure someone was up?

713
00:30:39,600 --> 00:30:40,000
Speaker 5: I was won?

714
00:30:40,760 --> 00:30:41,680
Speaker 1: Why did you figure? Ready?

715
00:30:41,720 --> 00:30:44,560
Speaker 2: I don't know, it's just you look a little upset.

716
00:30:44,320 --> 00:30:46,360
Speaker 4: Over something I didn't But you did challenge my word

717
00:30:46,400 --> 00:30:47,960
Speaker 4: and then you said you weren't gonna be the word police.

718
00:30:47,960 --> 00:30:49,320
Speaker 3: So then I was like, what's going on?

719
00:30:49,960 --> 00:30:52,160
Speaker 2: And then I figured yogurt has something to do?

720
00:30:53,600 --> 00:30:55,000
Speaker 1: Somebody put a doll in my seat?

721
00:30:56,640 --> 00:30:58,520
Speaker 3: Did somebody give you darry.

722
00:30:58,480 --> 00:31:02,080
Speaker 1: No, there were bug at my desk this morning and

723
00:31:02,400 --> 00:31:07,760
Speaker 1: our last office that were bugs, and so that yeah, sure,

724
00:31:07,840 --> 00:31:08,760
Speaker 1: but isn't that not a bug?

725
00:31:09,400 --> 00:31:10,480
Speaker 3: Well, I'm just being specific.

726
00:31:10,800 --> 00:31:17,160
Speaker 1: Hey, you mean a way shut up? There are bugs

727
00:31:17,320 --> 00:31:19,680
Speaker 1: round my desk, and I'm like, why they're bugs. I'm

728
00:31:20,280 --> 00:31:24,400
Speaker 1: like stopping them and hitting them. And in my trash

729
00:31:24,440 --> 00:31:26,360
Speaker 1: can for the last two days there's been an open

730
00:31:26,400 --> 00:31:31,280
Speaker 1: purple yogurt. No. First of all, who's been in my desk?

731
00:31:31,440 --> 00:31:33,640
Speaker 1: Second of all, who eats a purple yogurt and puts

732
00:31:33,640 --> 00:31:34,400
Speaker 1: it in the trash can?

733
00:31:35,000 --> 00:31:35,440
Speaker 3: Wow?

734
00:31:35,600 --> 00:31:37,920
Speaker 1: And third of all, somebody take the trash out back here.

735
00:31:39,120 --> 00:31:41,120
Speaker 2: That's tricky because it's locked. But I'm sure they can

736
00:31:41,160 --> 00:31:42,400
Speaker 2: open it. I'm sure they can open it. I'm sure

737
00:31:42,400 --> 00:31:42,760
Speaker 2: there's ways.

738
00:31:42,920 --> 00:31:45,080
Speaker 3: Well, guys, I came in here and vacuumed the other

739
00:31:45,440 --> 00:31:45,960
Speaker 3: vacuum too.

740
00:31:45,960 --> 00:31:47,479
Speaker 1: I vacuumed all into my desk with that red thing

741
00:31:47,480 --> 00:31:48,400
Speaker 1: because it was so disgusting.

742
00:31:48,440 --> 00:31:50,560
Speaker 4: Oh, I went and got the legit huge vacuum and

743
00:31:50,600 --> 00:31:52,880
Speaker 4: did a whole thing because I was like, I don't know,

744
00:31:53,200 --> 00:31:53,440
Speaker 4: do you?

745
00:31:53,680 --> 00:31:55,200
Speaker 1: I'm not even worried about it? Who ate a yogurt

746
00:31:55,240 --> 00:31:57,240
Speaker 1: at my desk. Well, I just don't know who eats

747
00:31:57,240 --> 00:31:58,760
Speaker 1: purple yogurt.

748
00:31:59,160 --> 00:32:02,880
Speaker 2: Somebody better for us up, Yeah, I don't need.

749
00:32:02,840 --> 00:32:06,800
Speaker 4: Yogurt is up right now, somebody just admit to it.

750
00:32:08,120 --> 00:32:10,120
Speaker 1: If you come forward now, I promise you will make

751
00:32:10,720 --> 00:32:13,080
Speaker 1: Mike's thinking. Do you know who had a purple yogurt?

752
00:32:13,120 --> 00:32:14,800
Speaker 8: I mean it could have been me, but I don't

753
00:32:14,800 --> 00:32:15,520
Speaker 8: eat yogurt.

754
00:32:16,400 --> 00:32:17,360
Speaker 3: Well, then it wasn't you.

755
00:32:18,600 --> 00:32:21,280
Speaker 1: It was like some purple I do naughty purple containers

756
00:32:21,480 --> 00:32:21,880
Speaker 1: and I don't.

757
00:32:22,000 --> 00:32:24,520
Speaker 4: Do you know my purple like the yogurt was blue

758
00:32:24,720 --> 00:32:27,040
Speaker 4: or like it was in a purple k like purple

759
00:32:27,040 --> 00:32:28,600
Speaker 4: container container is purple.

760
00:32:28,680 --> 00:32:30,640
Speaker 1: That's why it's been in there for like two days.

761
00:32:30,920 --> 00:32:32,040
Speaker 3: But do we have a brand?

762
00:32:32,560 --> 00:32:32,680
Speaker 7: No?

763
00:32:32,720 --> 00:32:33,680
Speaker 1: I didn't go through like forensics.

764
00:32:33,720 --> 00:32:35,440
Speaker 2: When I try to, do you still have no?

765
00:32:35,560 --> 00:32:35,680
Speaker 3: Well?

766
00:32:35,720 --> 00:32:38,480
Speaker 4: I guess have it because if it's vegan yogurt, Mike

767
00:32:38,520 --> 00:32:39,320
Speaker 4: is still in the running.

768
00:32:39,360 --> 00:32:45,680
Speaker 8: If it's not, if it's not yogurt and it's my mush.

769
00:32:43,640 --> 00:32:46,600
Speaker 5: The purple uh, that's what it is.

770
00:32:46,760 --> 00:32:49,280
Speaker 2: Found. It found the compress and you said.

771
00:32:49,040 --> 00:32:50,600
Speaker 5: They would be punished and don't back down.

772
00:32:50,640 --> 00:32:55,760
Speaker 2: Now, get the wheel lay across my legs.

773
00:32:55,800 --> 00:32:57,560
Speaker 3: Wait, what that's just got weird.

774
00:32:57,680 --> 00:33:02,720
Speaker 1: Let's spank him. Can we not? Just in general, not

775
00:33:02,800 --> 00:33:06,080
Speaker 1: put any food in the trash in this room? Period?

776
00:33:07,120 --> 00:33:09,080
Speaker 1: If we do, because there are times I'm eating something

777
00:33:09,120 --> 00:33:10,360
Speaker 1: a froggle on the up, put the trush, I take

778
00:33:10,360 --> 00:33:11,920
Speaker 1: it out immediately.

779
00:33:13,480 --> 00:33:13,800
Speaker 2: Rubbing.

780
00:33:13,800 --> 00:33:18,560
Speaker 1: The show's over. It goes out because now we have bugs, Sorry, Nats.

781
00:33:18,280 --> 00:33:20,360
Speaker 2: I usually just throw it over the balcony. Was so, yeah,

782
00:33:21,320 --> 00:33:22,880
Speaker 2: just to make sure we don't get bugs.

783
00:33:22,600 --> 00:33:25,120
Speaker 1: Here, you know, I'd rather you litter. I'm okay with that,

784
00:33:25,640 --> 00:33:27,200
Speaker 1: then get bugs here. Yeah, I'm okay with that.

785
00:33:27,840 --> 00:33:30,760
Speaker 2: Edie, No, I didn't. But so I ran into a

786
00:33:30,800 --> 00:33:33,320
Speaker 2: TikTok and I want to just run this bike. You guys,

787
00:33:33,400 --> 00:33:35,760
Speaker 2: see what you think is a picture of a guy,

788
00:33:35,840 --> 00:33:37,960
Speaker 2: older guy and a younger girl, and it says at

789
00:33:38,000 --> 00:33:40,880
Speaker 2: twenty four, I married my dad's best friend. Oh, he's

790
00:33:40,920 --> 00:33:44,200
Speaker 2: fifty two, and then it goes into how they met.

791
00:33:44,320 --> 00:33:47,800
Speaker 1: Okay, so let's just evaluate twenty four and fifty two

792
00:33:48,480 --> 00:33:50,200
Speaker 1: a little weird, not super weird.

793
00:33:50,280 --> 00:33:52,720
Speaker 3: Twenty eight years apart your best friend.

794
00:33:53,080 --> 00:33:55,000
Speaker 1: The dad's best friend thing makes it odd. But I

795
00:33:55,120 --> 00:33:58,880
Speaker 1: sped me. People these days, I'm just saying, we've heard

796
00:33:58,960 --> 00:34:02,160
Speaker 1: much much crazier to win then twenty four and fifty two.

797
00:34:02,840 --> 00:34:05,480
Speaker 1: So yeah, that's it's odd. Yeah, and I don't know

798
00:34:05,480 --> 00:34:07,880
Speaker 1: what you're gonna talk about, but Bill Belichick and Jordan

799
00:34:07,960 --> 00:34:10,000
Speaker 1: Hudson or whatever her name is, they're way beyond that.

800
00:34:10,160 --> 00:34:11,239
Speaker 2: Yeah.

801
00:34:11,520 --> 00:34:16,720
Speaker 1: So yeah, weird but not criminal. Well so what's the story.

802
00:34:17,200 --> 00:34:19,080
Speaker 2: So the story is she went she was in a

803
00:34:19,120 --> 00:34:21,440
Speaker 2: coffee shop and she was sketching on art, you know,

804
00:34:21,480 --> 00:34:23,360
Speaker 2: some art whatever, and some guy comes up. As the

805
00:34:23,360 --> 00:34:24,800
Speaker 2: guy he comes up and like, oh, what are you

806
00:34:24,840 --> 00:34:27,719
Speaker 2: working on? That's cool. They hit it off and then

807
00:34:27,880 --> 00:34:29,879
Speaker 2: they talked, and then they'd start doing that, like every

808
00:34:29,880 --> 00:34:33,360
Speaker 2: week they would get together and have coffee. Then finally

809
00:34:33,360 --> 00:34:34,880
Speaker 2: they found out they were kind of in love. They

810
00:34:34,920 --> 00:34:35,680
Speaker 2: wanted a date, and.

811
00:34:35,600 --> 00:34:37,040
Speaker 1: They found out they were kind of in life.

812
00:34:37,080 --> 00:34:40,359
Speaker 2: It just kind of chemistry. That was chemistry there, there's

813
00:34:40,360 --> 00:34:45,200
Speaker 2: a connection. Then meet the parents. So she's like, I

814
00:34:45,200 --> 00:34:46,400
Speaker 2: want you to meet my parents.

815
00:34:47,960 --> 00:34:48,920
Speaker 1: I already don't believe that.

816
00:34:48,920 --> 00:34:51,759
Speaker 3: I don't believe it my best friend unless.

817
00:34:52,840 --> 00:34:57,719
Speaker 2: From twenty years ago, yeah, she said, from his bachelor days. Yea,

818
00:34:58,080 --> 00:34:59,680
Speaker 2: like before they were married. They were friends.

819
00:35:00,239 --> 00:35:03,960
Speaker 3: So they get together and then they're like, yeah, Bob, uh.

820
00:35:03,960 --> 00:35:08,120
Speaker 2: Huh, they recognize each other immediately, and then drama.

821
00:35:08,920 --> 00:35:09,280
Speaker 1: Drama.

822
00:35:09,360 --> 00:35:10,759
Speaker 2: Oh there's drama. He's like, what are you doing with

823
00:35:10,800 --> 00:35:14,759
Speaker 2: my daughter? Absolutely, then they said a few years later

824
00:35:14,880 --> 00:35:17,880
Speaker 2: they get married, they have a child together, and everything's cool.

825
00:35:18,160 --> 00:35:20,239
Speaker 3: Yeah, once you have a kid, it all starts to

826
00:35:20,400 --> 00:35:21,160
Speaker 3: seem normal.

827
00:35:21,719 --> 00:35:24,600
Speaker 1: Yeah. I also don't think that that. I think it's

828
00:35:25,080 --> 00:35:27,640
Speaker 1: I got a couple. Probably not likely scenarios. One. Do

829
00:35:27,680 --> 00:35:29,640
Speaker 1: I think they just met? I don't know. It sounds

830
00:35:29,640 --> 00:35:31,160
Speaker 1: like maybe he met her when she was much younger,

831
00:35:31,160 --> 00:35:33,640
Speaker 1: like fifteen now twilighted that thing.

832
00:35:33,800 --> 00:35:36,160
Speaker 3: No, no, no, no, no, that's not no. They haven't

833
00:35:36,160 --> 00:35:37,120
Speaker 3: seen each other in twenty years.

834
00:35:37,160 --> 00:35:39,800
Speaker 2: Well, she says she's twenty four, married now and has kids,

835
00:35:40,480 --> 00:35:42,160
Speaker 2: a one daughter with her, a two year old.

836
00:35:43,239 --> 00:35:45,520
Speaker 3: She was like, how old was she when they when

837
00:35:45,520 --> 00:35:46,640
Speaker 3: she was scary, That's.

838
00:35:46,520 --> 00:35:47,120
Speaker 2: What Bobby is saying.

839
00:35:47,160 --> 00:35:49,400
Speaker 1: Well, I'm also saying, like, if this happened, I'd initially

840
00:35:49,480 --> 00:35:52,439
Speaker 1: think he met her when she was way younger. I'm

841
00:35:52,440 --> 00:35:55,160
Speaker 1: not saying that he raised her or had or like

842
00:35:55,239 --> 00:35:58,640
Speaker 1: hit on her or had anything creepy but newer, and

843
00:35:58,640 --> 00:36:00,319
Speaker 1: then got to know her again later when she was

844
00:36:00,320 --> 00:36:01,520
Speaker 1: of age. That that's weird.

845
00:36:03,960 --> 00:36:06,319
Speaker 2: I don't know about as soon as you find out

846
00:36:06,360 --> 00:36:08,799
Speaker 2: that that's your friend's daughter, Like, are you like, let

847
00:36:08,840 --> 00:36:09,319
Speaker 2: me back up?

848
00:36:09,520 --> 00:36:10,640
Speaker 1: Depends how much I'm in love.

849
00:36:11,000 --> 00:36:12,400
Speaker 3: Yeah, there's already that connection.

850
00:36:13,320 --> 00:36:14,359
Speaker 1: Depends if I've hit it.

851
00:36:15,000 --> 00:36:17,160
Speaker 3: What why would you say?

852
00:36:17,200 --> 00:36:20,160
Speaker 1: Because that changes it? It does because you've already done

853
00:36:20,160 --> 00:36:20,560
Speaker 1: it with her.

854
00:36:20,640 --> 00:36:21,520
Speaker 2: Then you can go You can't.

855
00:36:21,600 --> 00:36:23,080
Speaker 1: Yeah, you kind of can't go back on that one.

856
00:36:23,160 --> 00:36:24,240
Speaker 1: You can't. You've already done.

857
00:36:24,080 --> 00:36:26,680
Speaker 3: It, you say to him, I've already done it.

858
00:36:26,760 --> 00:36:28,960
Speaker 2: Yeah, I go back on this, but I've already hit it.

859
00:36:29,040 --> 00:36:31,880
Speaker 3: That's true, Sorry, Bob.

860
00:36:32,920 --> 00:36:34,600
Speaker 1: I think because if you've been dating and you haven't,

861
00:36:34,800 --> 00:36:38,960
Speaker 1: because that happened somewhere recently. There was a news story

862
00:36:38,960 --> 00:36:41,799
Speaker 1: where it was they were dating, but they never did it,

863
00:36:42,320 --> 00:36:44,080
Speaker 1: so it was okay, I don't remember.

864
00:36:45,239 --> 00:36:47,160
Speaker 5: What what are you talking about?

865
00:36:47,960 --> 00:36:49,480
Speaker 2: Never Arkansas?

866
00:36:49,760 --> 00:36:53,120
Speaker 4: I didn't know if I saw like, because like, where

867
00:36:53,160 --> 00:36:55,480
Speaker 4: did I I felt like I saw something online but

868
00:36:55,520 --> 00:36:58,319
Speaker 4: maybe it wasn't related, but maybe it was.

869
00:36:58,400 --> 00:37:01,040
Speaker 3: But what I'm thinking of it's probably not what you saw.

870
00:37:01,120 --> 00:37:04,080
Speaker 4: But it was like they had gone out a few times,

871
00:37:04,120 --> 00:37:07,080
Speaker 4: they met on a dating app, and then they found

872
00:37:07,120 --> 00:37:09,920
Speaker 4: out they related. But luckily they hadn't done anything physical,

873
00:37:10,000 --> 00:37:12,120
Speaker 4: so they were able to like stop right there. But

874
00:37:12,719 --> 00:37:15,799
Speaker 4: the question was if they had already been physical and

875
00:37:15,800 --> 00:37:17,960
Speaker 4: they'd already done it, and then they find out they're related, Well,

876
00:37:17,960 --> 00:37:18,800
Speaker 4: you've already done.

877
00:37:18,680 --> 00:37:20,799
Speaker 1: It, so like what's the problem. You already did it.

878
00:37:20,840 --> 00:37:21,560
Speaker 3: You already did it.

879
00:37:21,920 --> 00:37:23,960
Speaker 4: And then I think some people are like, well the

880
00:37:23,960 --> 00:37:26,840
Speaker 4: problem is if you continue doing it and you have

881
00:37:26,960 --> 00:37:27,400
Speaker 4: a baby.

882
00:37:27,640 --> 00:37:30,080
Speaker 1: But how close were they cousins?

883
00:37:30,080 --> 00:37:33,120
Speaker 3: So probably I don't remember.

884
00:37:32,920 --> 00:37:34,680
Speaker 1: Because I think once it gets a third, cousins have

885
00:37:34,719 --> 00:37:35,040
Speaker 1: at it.

886
00:37:36,719 --> 00:37:38,520
Speaker 3: Once it gets a wet third.

887
00:37:38,640 --> 00:37:40,120
Speaker 1: Yeah, I think it's weird if you meet them in

888
00:37:40,160 --> 00:37:41,560
Speaker 1: a family or union and then you have at it.

889
00:37:42,000 --> 00:37:44,799
Speaker 1: If you one, like you meet them random and it's

890
00:37:44,840 --> 00:37:47,560
Speaker 1: a random and you find out your third cousins right

891
00:37:48,160 --> 00:37:51,400
Speaker 1: which country you're related? Get it on I related third

892
00:37:51,480 --> 00:37:54,960
Speaker 1: cousin though it's like three percent DNA share.

893
00:37:54,960 --> 00:37:56,919
Speaker 2: As soon as you hear I'm related to you.

894
00:37:57,680 --> 00:37:59,880
Speaker 6: Do you think second cousins is a coin flip? Like

895
00:38:00,560 --> 00:38:03,480
Speaker 6: could you go for could you not? I feel like

896
00:38:03,520 --> 00:38:05,480
Speaker 6: second cousins kind of coin flip. You don't really see

897
00:38:05,480 --> 00:38:06,360
Speaker 6: your second cousins.

898
00:38:07,560 --> 00:38:10,120
Speaker 1: Yeah, I think that's too close.

899
00:38:10,200 --> 00:38:11,880
Speaker 3: It's probably you do that. What do y'all have that

900
00:38:11,960 --> 00:38:12,960
Speaker 3: crazy hot ratio?

901
00:38:13,200 --> 00:38:20,719
Speaker 1: It's cousin hot ratio. Now cousins here? Second, what country

902
00:38:20,800 --> 00:38:21,040
Speaker 1: is it?

903
00:38:21,480 --> 00:38:24,760
Speaker 4: Maybe it's Iceland where they have to have an app?

904
00:38:25,120 --> 00:38:25,720
Speaker 3: Is it Iceland?

905
00:38:25,880 --> 00:38:29,680
Speaker 4: There's a special app where you can check to see

906
00:38:29,719 --> 00:38:31,560
Speaker 4: if you're related to whoever you're going on a date with,

907
00:38:31,640 --> 00:38:35,080
Speaker 4: because the population is so small that you're likely to

908
00:38:35,120 --> 00:38:36,960
Speaker 4: be going out with somebody that you're really that's smart.

909
00:38:37,000 --> 00:38:39,920
Speaker 1: And it's an island, so you really can't get off

910
00:38:40,000 --> 00:38:44,440
Speaker 1: unless you fly or boat. It's called the Yeah or

911
00:38:44,480 --> 00:38:47,440
Speaker 1: boat that's a long boat trip though I'm being honest.

912
00:38:47,680 --> 00:38:52,080
Speaker 1: Mostly you gotta fly. But it's called the islendinga app

913
00:38:52,080 --> 00:38:54,640
Speaker 1: which helps people determine if they're related to potential romantic partners.

914
00:38:55,120 --> 00:38:59,240
Speaker 1: Due to iceland small, relatively homogeneous population, and comprehensive online

915
00:38:59,280 --> 00:39:02,000
Speaker 1: genealogy data base, the app allows users to bump phones

916
00:39:02,160 --> 00:39:05,120
Speaker 1: and instantly check for family connections. Bro, we needs this

917
00:39:05,160 --> 00:39:08,319
Speaker 1: back home too. Just bump phones, it said, We bump

918
00:39:08,719 --> 00:39:09,400
Speaker 1: and hope later.

919
00:39:11,360 --> 00:39:15,600
Speaker 2: Hoping are we all kind of related? But like that's

920
00:39:15,640 --> 00:39:19,479
Speaker 2: crazy though, like I'm kind of related to you, but yeah,

921
00:39:19,480 --> 00:39:20,880
Speaker 2: I probably could be related to you.

922
00:39:21,400 --> 00:39:28,320
Speaker 1: Okay, that's crazy kind Yeah, I did care and read.

923
00:39:28,560 --> 00:39:32,959
Speaker 1: I think I'm good. All right, let's take a let's

924
00:39:33,000 --> 00:39:34,920
Speaker 1: just end this. We've already done that. We're about an

925
00:39:34,920 --> 00:39:40,200
Speaker 1: hour in, right, We're good, all right, cool. We have

926
00:39:40,280 --> 00:39:43,160
Speaker 1: doctor Marcy Yates on with us, who is a forensic

927
00:39:43,360 --> 00:39:48,560
Speaker 1: genetic genealogist at Oklahoma State University. We rarely have highly

928
00:39:48,719 --> 00:39:50,400
Speaker 1: educated people on the show. Let's clap your hand for

929
00:39:50,440 --> 00:39:55,440
Speaker 1: someone educated, doctor Yates, thank you for coming on. Hi,

930
00:39:55,640 --> 00:39:57,759
Speaker 1: no problem at all, so I said on the air,

931
00:39:57,760 --> 00:39:59,160
Speaker 1: I was looking to figure out where I was from

932
00:39:59,239 --> 00:40:01,759
Speaker 1: because I want to go on to pilgrimage voyage. I

933
00:40:01,760 --> 00:40:03,480
Speaker 1: don't know. I don't know where I'm from. I don't

934
00:40:03,480 --> 00:40:05,200
Speaker 1: know I don't know my you know, I don't like

935
00:40:05,560 --> 00:40:08,000
Speaker 1: want I know my grandparents. My grandma raised me, her

936
00:40:08,080 --> 00:40:11,040
Speaker 1: husband died before I was born. My other side of

937
00:40:11,080 --> 00:40:13,520
Speaker 1: the family, I don't know my dad, but that grandfather

938
00:40:13,719 --> 00:40:17,520
Speaker 1: died when I was very young. That grandfather, that grandmother's past.

939
00:40:17,560 --> 00:40:20,120
Speaker 1: So I just don't know. And I did one of

940
00:40:20,160 --> 00:40:22,040
Speaker 1: those little results where it says where you're from, and

941
00:40:22,080 --> 00:40:24,239
Speaker 1: it's like, basically, you're just from where white people come from,

942
00:40:24,239 --> 00:40:26,120
Speaker 1: which is like all Europe. It it was like a

943
00:40:26,120 --> 00:40:29,080
Speaker 1: big map of Europe. So she messaged me, she was,

944
00:40:29,400 --> 00:40:31,000
Speaker 1: so what do you do? And I don't want to

945
00:40:31,000 --> 00:40:33,120
Speaker 1: ask you about anything specific you do for other people

946
00:40:33,160 --> 00:40:36,040
Speaker 1: specifically because that's their information, but like what do you

947
00:40:36,160 --> 00:40:37,840
Speaker 1: do day to day? What is your job?

948
00:40:39,000 --> 00:40:41,480
Speaker 7: Yeah? That is a good question. So kind of in

949
00:40:41,840 --> 00:40:45,799
Speaker 7: lay terms, what we do here is we work with

950
00:40:46,280 --> 00:40:52,480
Speaker 7: unidentified human remains and we use forensic genealogy, DNA extraction

951
00:40:52,640 --> 00:40:56,560
Speaker 7: and different methods and then kind of open source intelligence

952
00:40:56,719 --> 00:41:01,400
Speaker 7: and with genealogy, then we use that to work on

953
00:41:01,480 --> 00:41:03,439
Speaker 7: identifying who these remains are.

954
00:41:04,640 --> 00:41:07,799
Speaker 1: Crazy? Do you ever get called into court like Karen Reid?

955
00:41:07,800 --> 00:41:09,800
Speaker 1: Will they be like doctor Yates, come talk to the

956
00:41:09,840 --> 00:41:10,640
Speaker 1: Karen Reid trial.

957
00:41:12,200 --> 00:41:15,759
Speaker 7: I'm not that cool, but my boss does for sure like.

958
00:41:15,840 --> 00:41:16,920
Speaker 1: That you bring in an expert.

959
00:41:17,040 --> 00:41:17,360
Speaker 2: Awesome.

960
00:41:17,400 --> 00:41:19,400
Speaker 1: How did you get into this? What made you want

961
00:41:19,440 --> 00:41:20,160
Speaker 1: to get into this field?

962
00:41:21,440 --> 00:41:26,040
Speaker 7: Yeah? So I started working in forensics. So I teach

963
00:41:26,400 --> 00:41:30,279
Speaker 7: in forensics and they said that we're trying to build

964
00:41:30,360 --> 00:41:33,200
Speaker 7: up the forensic genealogy program. Would that be something that

965
00:41:33,239 --> 00:41:36,000
Speaker 7: you're interested in? And I said heck, yeah, let's freaking

966
00:41:36,080 --> 00:41:39,720
Speaker 7: do it. And so that just opened some doors and

967
00:41:40,200 --> 00:41:44,560
Speaker 7: then we work on forensic genetic genealogy cases all the time. Now.

968
00:41:45,080 --> 00:41:49,000
Speaker 1: So I saw her message in my general I was

969
00:41:49,040 --> 00:41:51,000
Speaker 1: just and I don't get to all of them, but

970
00:41:51,280 --> 00:41:53,200
Speaker 1: I was drawing to that message for some reason. I

971
00:41:53,200 --> 00:41:54,560
Speaker 1: clicked and opened it and she was like, I'd like

972
00:41:54,600 --> 00:41:56,279
Speaker 1: to help you find your story. And I was like,

973
00:41:56,320 --> 00:41:58,120
Speaker 1: that's so nice of you. And so I got her

974
00:41:58,200 --> 00:42:00,920
Speaker 1: number and we called her up. Now, just to protect

975
00:42:00,960 --> 00:42:03,719
Speaker 1: a bit of I mean, I'm not very private, but

976
00:42:03,800 --> 00:42:08,560
Speaker 1: my privacy or my dead relatives privacy, if you know anything,

977
00:42:08,640 --> 00:42:10,160
Speaker 1: let's just call them by their first names. I don't

978
00:42:10,160 --> 00:42:11,879
Speaker 1: even know what their first names are. So what did

979
00:42:11,920 --> 00:42:15,319
Speaker 1: you find out about me? Or have you? Because I

980
00:42:15,400 --> 00:42:17,680
Speaker 1: googled me and I couldn't find anything other than like

981
00:42:17,719 --> 00:42:18,160
Speaker 1: my grandpa.

982
00:42:18,320 --> 00:42:20,600
Speaker 3: Yeah, but you have access to database or bones?

983
00:42:20,640 --> 00:42:21,520
Speaker 1: Did you go find their bones?

984
00:42:22,320 --> 00:42:22,480
Speaker 2: See?

985
00:42:22,520 --> 00:42:23,799
Speaker 4: I was thinking she may need to see you in

986
00:42:23,800 --> 00:42:26,680
Speaker 4: person and like withdraw things from your body, take.

987
00:42:26,520 --> 00:42:28,680
Speaker 1: Some of your hands, going on, do you need any

988
00:42:28,760 --> 00:42:31,560
Speaker 1: do you need do you need like stool? Blood? What

989
00:42:31,600 --> 00:42:32,200
Speaker 1: do you need from me?

990
00:42:32,480 --> 00:42:32,719
Speaker 3: Bone?

991
00:42:32,760 --> 00:42:33,080
Speaker 1: Marrow?

992
00:42:33,440 --> 00:42:33,680
Speaker 2: No?

993
00:42:34,040 --> 00:42:38,640
Speaker 7: That yeah, definitely not stool. But since you are identified,

994
00:42:40,160 --> 00:42:43,080
Speaker 7: it is pretty easy to find you on the internet

995
00:42:43,239 --> 00:42:45,840
Speaker 7: just because of who you are, and so I started

996
00:42:45,880 --> 00:42:51,440
Speaker 7: with your first date and your name, and then from ancestry.

997
00:42:51,600 --> 00:42:55,319
Speaker 7: There's a lot of kind of public documents, so it's

998
00:42:55,360 --> 00:42:57,879
Speaker 7: not even really you have to have all these paid

999
00:42:57,920 --> 00:43:02,000
Speaker 7: subscriptions to know any pres it details. You just kind

1000
00:43:02,000 --> 00:43:05,560
Speaker 7: of need to know where to look, and then from

1001
00:43:05,600 --> 00:43:08,600
Speaker 7: there then it's just kind of off to checking different

1002
00:43:08,600 --> 00:43:12,240
Speaker 7: public records. So I can see, Bobby, like your yearbook pictures,

1003
00:43:12,239 --> 00:43:13,480
Speaker 7: which they look great, by.

1004
00:43:13,320 --> 00:43:19,680
Speaker 1: The way, your door tell me that's not a dorky kid, though.

1005
00:43:21,200 --> 00:43:23,279
Speaker 7: I think it looks great. I think you're born to

1006
00:43:23,320 --> 00:43:23,759
Speaker 7: be a star.

1007
00:43:23,920 --> 00:43:24,680
Speaker 1: So thank you.

1008
00:43:24,719 --> 00:43:25,480
Speaker 7: It's not your fault.

1009
00:43:25,600 --> 00:43:29,040
Speaker 1: Yeah, okay, so what did you find? Okay, so did

1010
00:43:29,040 --> 00:43:30,120
Speaker 1: you see my parents?

1011
00:43:31,360 --> 00:43:34,279
Speaker 7: Yes? Yeah, I can see your parents. I can see

1012
00:43:34,840 --> 00:43:38,920
Speaker 7: I found your mom's obituary, and so different kind of

1013
00:43:38,920 --> 00:43:42,000
Speaker 7: public records like that. You can't always find obituaries, and

1014
00:43:42,040 --> 00:43:45,000
Speaker 7: the thing is is that family members write those and

1015
00:43:45,080 --> 00:43:47,560
Speaker 7: so they're not one hundred percent accurate all the time,

1016
00:43:47,840 --> 00:43:49,360
Speaker 7: but it does kind of give you a good picture

1017
00:43:49,400 --> 00:43:53,000
Speaker 7: of what you're looking at. And so I kind of

1018
00:43:53,040 --> 00:43:57,400
Speaker 7: got a family picture from the obituary, and then I

1019
00:43:57,440 --> 00:43:59,880
Speaker 7: know who her parents are. And then you just go

1020
00:44:00,040 --> 00:44:05,360
Speaker 7: from there. So I've traced you back to about about

1021
00:44:05,400 --> 00:44:06,560
Speaker 7: the fourteen nineties.

1022
00:44:06,719 --> 00:44:09,600
Speaker 1: No way, what if it's Columbus, Yeah, oh, no, fourteen

1023
00:44:10,000 --> 00:44:11,600
Speaker 1: two my great great great great uncle.

1024
00:44:13,880 --> 00:44:14,400
Speaker 3: There.

1025
00:44:16,160 --> 00:44:21,239
Speaker 7: There's one fun fact is I saw which I have

1026
00:44:21,440 --> 00:44:26,560
Speaker 7: not like gone through every public document to absolutely confirm this,

1027
00:44:26,640 --> 00:44:30,880
Speaker 7: But back in like the fifteen hundreds or so, you're related.

1028
00:44:31,320 --> 00:44:35,880
Speaker 7: You're about tenth cousins with James Madison and Teddy Roosevelt.

1029
00:44:35,960 --> 00:44:41,000
Speaker 2: President who cousins?

1030
00:44:41,000 --> 00:44:42,960
Speaker 1: Aren't we all tenth cousins to like Adam and the

1031
00:44:42,960 --> 00:44:44,360
Speaker 1: you type thing? Or is it tenth? Is this?

1032
00:44:44,600 --> 00:44:47,920
Speaker 7: I mean basically, but you don't see that in everyone's tree,

1033
00:44:48,000 --> 00:44:51,960
Speaker 7: So you can see a direct line to their grandfather

1034
00:44:52,239 --> 00:44:52,959
Speaker 7: in your tree?

1035
00:44:53,400 --> 00:44:57,359
Speaker 1: No way? Okay, So where am I like from, like

1036
00:44:57,400 --> 00:44:59,800
Speaker 1: if I were going to go on a trip, because

1037
00:45:00,040 --> 00:45:04,799
Speaker 1: I don't know anything above my grandparents, Like where did that? Where?

1038
00:45:04,880 --> 00:45:05,920
Speaker 1: When did we come here?

1039
00:45:08,520 --> 00:45:10,080
Speaker 7: Come here as in the US?

1040
00:45:10,360 --> 00:45:10,560
Speaker 5: Yeah?

1041
00:45:10,880 --> 00:45:16,680
Speaker 1: Yeah, yeah, like not to Arkansas? Good point? Good point?

1042
00:45:17,120 --> 00:45:21,000
Speaker 1: Do you know like where my ancestors lived in one

1043
00:45:21,040 --> 00:45:21,680
Speaker 1: of the countries?

1044
00:45:22,640 --> 00:45:27,040
Speaker 7: Yeah? You have some German lines, you have some Dutch lines,

1045
00:45:27,239 --> 00:45:32,279
Speaker 7: some French, and then obviously some English. So I'm trying

1046
00:45:32,320 --> 00:45:41,440
Speaker 7: to see exactly when over into Virginia you are, Yeah.

1047
00:45:41,080 --> 00:45:42,239
Speaker 1: I'm a Native Virginian.

1048
00:45:42,480 --> 00:45:45,239
Speaker 2: Whoa Arkansas helmet? Off your desk?

1049
00:45:45,320 --> 00:45:50,120
Speaker 1: Oh no, I'm Hochy. So okay, So if you had

1050
00:45:50,120 --> 00:45:52,440
Speaker 1: to pick one place, where do you think I should

1051
00:45:52,440 --> 00:45:53,880
Speaker 1: go to? Look at my homeland?

1052
00:45:55,480 --> 00:45:58,080
Speaker 7: Okay, this is going to be surprising, Well not surprising.

1053
00:45:58,320 --> 00:46:01,040
Speaker 7: You have a lot of ants. That's you're sure in Tennessee.

1054
00:46:01,280 --> 00:46:02,720
Speaker 7: So I feel like you're in the right spot.

1055
00:46:03,800 --> 00:46:05,480
Speaker 2: Wow, you were destined to come here.

1056
00:46:05,960 --> 00:46:07,600
Speaker 1: So I could run for governor of this state too,

1057
00:46:07,640 --> 00:46:08,240
Speaker 1: not just Darkansas.

1058
00:46:08,520 --> 00:46:08,880
Speaker 2: Goodness.

1059
00:46:09,920 --> 00:46:11,960
Speaker 1: So I'm already okay, But if I wanted to go

1060
00:46:12,000 --> 00:46:13,400
Speaker 1: to one of those European.

1061
00:46:13,000 --> 00:46:15,759
Speaker 4: Places, find out like I related to two presidents and

1062
00:46:15,800 --> 00:46:17,040
Speaker 4: now you're running for governor again.

1063
00:46:17,200 --> 00:46:19,480
Speaker 2: Oh yeah, he's got a political background.

1064
00:46:19,560 --> 00:46:24,279
Speaker 1: Now wow, I'm back, baby, I'm back. Yeah. So yeah,

1065
00:46:24,360 --> 00:46:27,399
Speaker 1: tell me like European because I obviously right. I wasn't

1066
00:46:27,600 --> 00:46:29,520
Speaker 1: I but my family they were immigrants at some point.

1067
00:46:29,520 --> 00:46:31,480
Speaker 1: We all were, for the most part, lifter native American.

1068
00:46:31,560 --> 00:46:32,439
Speaker 1: Where do we come from?

1069
00:46:33,560 --> 00:46:33,640
Speaker 2: Uh?

1070
00:46:33,800 --> 00:46:37,600
Speaker 7: You come from Ireland, you come from Germany. I'm trying

1071
00:46:37,600 --> 00:46:40,279
Speaker 7: to find the exact places for you.

1072
00:46:40,400 --> 00:46:41,839
Speaker 1: Yeah, Like I need a town to go to and

1073
00:46:41,840 --> 00:46:43,680
Speaker 1: be like I'm home, Like I want to picture me

1074
00:46:43,960 --> 00:46:47,240
Speaker 1: with my arms up in whatever town this is going,

1075
00:46:47,400 --> 00:46:55,680
Speaker 1: I'm home. Let's see if you got Richmond, Virginia go,

1076
00:46:56,800 --> 00:46:58,719
Speaker 1: I've been there like four times. I didn't know that

1077
00:46:58,800 --> 00:46:59,799
Speaker 1: was home. That was.

1078
00:47:03,920 --> 00:47:06,960
Speaker 7: Let's see. I'm trying to find all this were.

1079
00:47:06,800 --> 00:47:08,600
Speaker 1: My family, like all criminals or anything, because like this

1080
00:47:08,760 --> 00:47:10,960
Speaker 1: version this the last few years, there's been a lot

1081
00:47:10,960 --> 00:47:12,640
Speaker 1: of we had, we had a lot of issues, were

1082
00:47:12,640 --> 00:47:14,200
Speaker 1: a lot of they're still in jail, a lot of them.

1083
00:47:14,560 --> 00:47:18,080
Speaker 1: Like my family didn't like burned down towns or anything.

1084
00:47:18,120 --> 00:47:21,600
Speaker 7: Right, No, not not that we can see on a

1085
00:47:21,640 --> 00:47:23,120
Speaker 7: public document. So don't worry.

1086
00:47:23,200 --> 00:47:24,560
Speaker 3: Perfect, she doesn't come across that.

1087
00:47:24,640 --> 00:47:25,920
Speaker 1: Good Yeah, good, good good.

1088
00:47:27,760 --> 00:47:30,000
Speaker 4: I mean yeah, what if you you're like, oh, we

1089
00:47:30,040 --> 00:47:33,799
Speaker 4: can tell you were related to John Wilkes Booth exactly right.

1090
00:47:34,120 --> 00:47:36,279
Speaker 1: I don't want any part of that. Yeah, Or if

1091
00:47:36,360 --> 00:47:42,840
Speaker 1: you're like you were Boris Yeltson, who's that Russia?

1092
00:47:43,120 --> 00:47:43,319
Speaker 2: Right?

1093
00:47:43,400 --> 00:47:43,560
Speaker 1: Right?

1094
00:47:45,320 --> 00:47:47,760
Speaker 3: So so far you have no Russian lineage.

1095
00:47:47,960 --> 00:47:50,319
Speaker 1: Okay, all right, all right, I'm just giving her time. Okay,

1096
00:47:50,360 --> 00:47:51,719
Speaker 1: did you find a home for me to go to?

1097
00:47:55,280 --> 00:47:57,800
Speaker 7: Okay? On your mom's side, No, now I'm going to

1098
00:47:57,880 --> 00:47:59,960
Speaker 7: look on your dad's side because it just will get

1099
00:48:00,080 --> 00:48:04,640
Speaker 7: the general Ireland on your mom's side, lien on your

1100
00:48:04,719 --> 00:48:05,239
Speaker 7: dad's side.

1101
00:48:06,160 --> 00:48:07,839
Speaker 1: I've been to Ireland. They didn't treat me like I'm back.

1102
00:48:08,880 --> 00:48:11,440
Speaker 3: Did you get a feeling when you landed there.

1103
00:48:10,960 --> 00:48:13,320
Speaker 1: Like yeah, like I wish I drank. That was the feeling.

1104
00:48:13,800 --> 00:48:16,919
Speaker 1: Maybe that's all my family we have alcohol issues because

1105
00:48:16,920 --> 00:48:20,239
Speaker 1: we're born in Ireland. You like to drink just the

1106
00:48:20,280 --> 00:48:22,600
Speaker 1: culture you brought it over, brought it over on the boat.

1107
00:48:27,520 --> 00:48:30,600
Speaker 7: Okay, let's see. I'm sorry, I'm getting no here.

1108
00:48:30,520 --> 00:48:31,080
Speaker 1: Take your time.

1109
00:48:31,360 --> 00:48:32,400
Speaker 2: What if it goes to Mexico.

1110
00:48:32,520 --> 00:48:34,400
Speaker 4: I'm trying to picture what she's doing. Is she like

1111
00:48:34,440 --> 00:48:36,200
Speaker 4: flipping through papers or on the internet.

1112
00:48:37,680 --> 00:48:42,240
Speaker 7: I'm on ancestry and okay, what happens when you build

1113
00:48:42,239 --> 00:48:45,600
Speaker 7: out a family tree you can go back, I mean,

1114
00:48:45,680 --> 00:48:50,560
Speaker 7: depending on your tree, but your ancestors double every time

1115
00:48:50,800 --> 00:48:53,600
Speaker 7: every generation if you can find your grandparents and then

1116
00:48:53,600 --> 00:48:58,520
Speaker 7: their grandparents. So from Bobby's tree, there's actually a ton

1117
00:48:58,560 --> 00:49:01,440
Speaker 7: of people that we can see, you.

1118
00:49:01,400 --> 00:49:03,920
Speaker 1: Know, bigger than but I add double cousins.

1119
00:49:04,160 --> 00:49:06,319
Speaker 4: But that's closer to you. But as you get further

1120
00:49:06,320 --> 00:49:07,880
Speaker 4: away from that, you expand.

1121
00:49:07,520 --> 00:49:10,320
Speaker 1: I just affected them all to be marrying each other, cousins, sisters.

1122
00:49:11,880 --> 00:49:14,360
Speaker 7: I did find some cousins married to each other. So

1123
00:49:14,520 --> 00:49:16,480
Speaker 7: sorry to tell you that makes sense.

1124
00:49:17,160 --> 00:49:19,799
Speaker 1: We don't know it doesn't it all. Shut your mouth,

1125
00:49:20,840 --> 00:49:21,399
Speaker 1: shut your holes.

1126
00:49:21,440 --> 00:49:23,960
Speaker 3: If she pulled up our family trees, you find the same.

1127
00:49:23,719 --> 00:49:29,320
Speaker 7: Thing that's in most trees.

1128
00:49:29,400 --> 00:49:33,400
Speaker 4: Actually, okay, why do y'all think y'all are immune to

1129
00:49:34,840 --> 00:49:36,319
Speaker 4: so all?

1130
00:49:36,560 --> 00:49:38,799
Speaker 1: My goal here with doctor Yates is I just want

1131
00:49:38,840 --> 00:49:41,040
Speaker 1: to find a homeland to go to because I don't

1132
00:49:41,080 --> 00:49:43,239
Speaker 1: really have a home. And so whenever she tells me

1133
00:49:43,280 --> 00:49:45,680
Speaker 1: this this is, I'm putting it on a map and

1134
00:49:45,680 --> 00:49:46,600
Speaker 1: I'm going to this home.

1135
00:49:49,400 --> 00:49:52,120
Speaker 7: But you have multiple homes. So is there like a

1136
00:49:52,160 --> 00:49:54,440
Speaker 7: country that you are leaning towards.

1137
00:49:55,400 --> 00:49:57,800
Speaker 1: No, I just want to go where they where everybody

1138
00:49:57,800 --> 00:49:58,480
Speaker 1: knows my name.

1139
00:49:58,840 --> 00:50:00,800
Speaker 2: Yeah and always.

1140
00:50:00,480 --> 00:50:02,759
Speaker 1: And they're always glad I came. You know, I want

1141
00:50:02,760 --> 00:50:04,640
Speaker 1: to go where people you know.

1142
00:50:05,600 --> 00:50:06,759
Speaker 2: Where would that be.

1143
00:50:06,880 --> 00:50:11,040
Speaker 4: Cheers, where things are all the.

1144
00:50:11,080 --> 00:50:12,400
Speaker 1: Same, yeah, cheers.

1145
00:50:16,160 --> 00:50:16,800
Speaker 7: Okay, sorry.

1146
00:50:16,920 --> 00:50:19,319
Speaker 1: I She can literally also just make up a town

1147
00:50:19,360 --> 00:50:22,160
Speaker 1: and be like, yeah, I know, Berlin looks like that's

1148
00:50:22,840 --> 00:50:25,600
Speaker 1: your There was an Instagram Posty telling her friends I

1149
00:50:25,600 --> 00:50:27,400
Speaker 1: totally lied I wasn't. I don't even work for oclombs

1150
00:50:27,400 --> 00:50:29,319
Speaker 1: state what she's like.

1151
00:50:30,960 --> 00:50:31,600
Speaker 3: North Korea.

1152
00:50:32,400 --> 00:50:33,480
Speaker 1: Oh that's a tough one.

1153
00:50:34,160 --> 00:50:34,719
Speaker 2: I am who I am?

1154
00:50:35,239 --> 00:50:35,399
Speaker 7: Wait?

1155
00:50:35,840 --> 00:50:38,759
Speaker 1: No, I am who I am? I can't deny me

1156
00:50:38,800 --> 00:50:44,439
Speaker 1: for so long. Kim Jong Bones, it's got a nice

1157
00:50:44,480 --> 00:50:45,360
Speaker 1: ring to it. It doesn't.

1158
00:50:45,400 --> 00:50:48,239
Speaker 5: It doesn't have a n no, no, nothing nice about

1159
00:50:48,239 --> 00:50:48,480
Speaker 5: that one.

1160
00:50:48,560 --> 00:50:55,799
Speaker 1: Bobby. Let's give it. Let's give her time.

1161
00:50:56,200 --> 00:50:58,560
Speaker 3: Let's give her time to focus.

1162
00:50:58,680 --> 00:51:00,000
Speaker 1: Yeah, you know, I wouldn't be able to focu.

1163
00:51:00,719 --> 00:51:02,920
Speaker 2: Maybe she's just taking time on how to break it

1164
00:51:02,960 --> 00:51:04,600
Speaker 2: to you whatever it is.

1165
00:51:05,520 --> 00:51:09,040
Speaker 1: How do I tell him it's like Germany? Hitler?

1166
00:51:09,320 --> 00:51:11,160
Speaker 5: Yeah, I was thinking Middle East?

1167
00:51:11,239 --> 00:51:14,520
Speaker 1: Who say, oh, well, that's that's my life. I'm not

1168
00:51:14,560 --> 00:51:17,120
Speaker 1: Middle Eastern. Like the Eddy, I'd be like, okay.

1169
00:51:17,560 --> 00:51:24,040
Speaker 7: Track, yeah, okay. There is one place that I'm gonna

1170
00:51:24,040 --> 00:51:29,640
Speaker 7: absolutely butcher. But it is the Kingdom of Wurtemberg, Germany.

1171
00:51:29,800 --> 00:51:34,359
Speaker 1: I'm a king. No, no, no, no, I'm a king.

1172
00:51:34,480 --> 00:51:36,120
Speaker 2: You might be a villager in the kingdom.

1173
00:51:36,280 --> 00:51:38,839
Speaker 1: No, okay, how do you spell it?

1174
00:51:39,840 --> 00:51:46,600
Speaker 7: Okay, it's w you are t T E M B

1175
00:51:46,719 --> 00:51:47,239
Speaker 7: E R G.

1176
00:51:48,239 --> 00:51:54,440
Speaker 1: Oh of course that's my middle name, Bobby Bones.

1177
00:51:55,440 --> 00:51:56,120
Speaker 2: That's crazy.

1178
00:51:56,239 --> 00:51:59,359
Speaker 3: Maybe that's why you like that big Wien or thing.

1179
00:51:59,480 --> 00:52:02,160
Speaker 1: Other people what other theories, But you do like broad works.

1180
00:52:02,239 --> 00:52:03,040
Speaker 1: I do big ones.

1181
00:52:03,960 --> 00:52:05,800
Speaker 3: Wasn't that in? Was that in Germany?

1182
00:52:05,880 --> 00:52:10,879
Speaker 1: It was in Germany? And that was your favorite? So

1183
00:52:11,000 --> 00:52:15,880
Speaker 1: where this this Adultumberg, Germany? Who lived there? Do you know?

1184
00:52:17,120 --> 00:52:17,359
Speaker 7: Yeah?

1185
00:52:17,480 --> 00:52:20,520
Speaker 1: His name is Johann Whitman classic Johann.

1186
00:52:20,560 --> 00:52:22,439
Speaker 2: Hey, that's that's your great grandfather. Dude.

1187
00:52:22,520 --> 00:52:24,880
Speaker 1: Yeah, what and what did be further than that great

1188
00:52:24,920 --> 00:52:26,839
Speaker 1: great What is he to me? Do you know?

1189
00:52:29,480 --> 00:52:35,320
Speaker 7: He would be? Yeah, let me check, he's your seventh

1190
00:52:35,560 --> 00:52:36,480
Speaker 7: great grandfather.

1191
00:52:37,160 --> 00:52:38,680
Speaker 3: Wow, like on his dad's side.

1192
00:52:39,960 --> 00:52:44,160
Speaker 7: Yes, No, on his uh actually yeah, on his dad's side.

1193
00:52:44,320 --> 00:52:47,399
Speaker 1: So my seventh great grandfather. So that would be let

1194
00:52:47,400 --> 00:52:49,520
Speaker 1: me walk walk down the road with you guys. There's

1195
00:52:49,560 --> 00:52:53,000
Speaker 1: my grandpa. There's my great grandpa. Now do I do

1196
00:52:53,120 --> 00:52:55,080
Speaker 1: seven more? Or is that already two down?

1197
00:52:57,880 --> 00:53:00,839
Speaker 7: It's okay, So your grandpa and then you're great grandpa is.

1198
00:53:00,800 --> 00:53:04,440
Speaker 1: One, so so six more so my great great grandpa,

1199
00:53:04,600 --> 00:53:08,960
Speaker 1: my great great grandpa, my great great great grandpa, my

1200
00:53:09,040 --> 00:53:12,520
Speaker 1: great great great great grandpa, my great great great great

1201
00:53:12,680 --> 00:53:14,600
Speaker 1: great grant. That's my that's who it is, my great

1202
00:53:14,600 --> 00:53:18,640
Speaker 1: great great great great grandpa seven times. No, because my

1203
00:53:18,680 --> 00:53:22,120
Speaker 1: great my grandfather would be one. So it's six sixth grades.

1204
00:53:22,200 --> 00:53:24,439
Speaker 3: That's what she said. You you don't count one until

1205
00:53:24,440 --> 00:53:25,440
Speaker 3: you get to great grandpa.

1206
00:53:25,520 --> 00:53:25,800
Speaker 2: I don't know.

1207
00:53:25,840 --> 00:53:26,959
Speaker 1: Will you tell us again what you said?

1208
00:53:27,920 --> 00:53:31,239
Speaker 7: Yeah, it's it's grandfather and then great grandfather would be

1209
00:53:31,600 --> 00:53:35,719
Speaker 7: first great grandfather, so he's seventh great grandfather.

1210
00:53:35,400 --> 00:53:38,960
Speaker 1: So great great great great great great great, So seven greats,

1211
00:53:38,960 --> 00:53:39,640
Speaker 1: it's seven great.

1212
00:53:39,800 --> 00:53:42,719
Speaker 3: I made that way too, coms because the grand isn't great.

1213
00:53:43,239 --> 00:53:47,520
Speaker 1: So seventh my great is from Rutenburg. His name is

1214
00:53:47,840 --> 00:53:52,520
Speaker 1: Johann Whitman. Johann Wow. And it's both. It's both, and

1215
00:53:52,560 --> 00:53:54,640
Speaker 1: it's a kingdom.

1216
00:53:55,239 --> 00:53:55,919
Speaker 7: That's what it says.

1217
00:53:56,160 --> 00:54:00,960
Speaker 2: Was Johann the king of great great question? Gotty want think? So?

1218
00:54:01,440 --> 00:54:04,080
Speaker 1: I bet he was? Do you mean King Whitman? Is

1219
00:54:04,080 --> 00:54:05,799
Speaker 1: that what you meant to say king? Or was he

1220
00:54:05,840 --> 00:54:08,480
Speaker 1: a radio person he yelled from a tower.

1221
00:54:10,920 --> 00:54:13,440
Speaker 7: I can't tell you no, so we'll just go with yes.

1222
00:54:13,640 --> 00:54:15,520
Speaker 7: He's not here to say no.

1223
00:54:15,960 --> 00:54:18,200
Speaker 2: He would be so proud of you worth Enburg.

1224
00:54:18,719 --> 00:54:22,879
Speaker 1: So okay, I'm going through Worthenburg, Germany, and I'm gonna

1225
00:54:22,880 --> 00:54:25,799
Speaker 1: go look for the home of Johann Whitman home.

1226
00:54:26,760 --> 00:54:27,680
Speaker 2: You can find the hut.

1227
00:54:28,320 --> 00:54:30,000
Speaker 1: It's got to be a historical mark or he's he

1228
00:54:30,200 --> 00:54:33,239
Speaker 1: was something. He had to be something there. Okay, Wow,

1229
00:54:33,320 --> 00:54:35,600
Speaker 1: that's cool. I had no idea. Is there any way

1230
00:54:36,640 --> 00:54:39,160
Speaker 1: one that do you have? I don't know. Is this

1231
00:54:39,160 --> 00:54:41,439
Speaker 1: stuff like printed out as in like a PDF file

1232
00:54:41,560 --> 00:54:41,960
Speaker 1: or something?

1233
00:54:42,960 --> 00:54:46,080
Speaker 7: Yeah, I can. I can download it and then definitely

1234
00:54:46,160 --> 00:54:46,680
Speaker 7: send it to you.

1235
00:54:46,920 --> 00:54:50,600
Speaker 1: And then is there like some sort of at your school,

1236
00:54:50,680 --> 00:54:53,000
Speaker 1: do people like donate so you guys can do projects

1237
00:54:53,040 --> 00:54:54,719
Speaker 1: or something, because I'd be happy to do that. I

1238
00:54:54,760 --> 00:54:56,480
Speaker 1: know you didn't ask for anything, so I will. I'd

1239
00:54:56,560 --> 00:54:57,120
Speaker 1: rather help the.

1240
00:54:57,120 --> 00:54:59,440
Speaker 2: Cause that I mean, like n I own money for

1241
00:54:59,440 --> 00:55:01,000
Speaker 2: for Yeah?

1242
00:55:01,360 --> 00:55:04,759
Speaker 1: Ye is there something like that I.

1243
00:55:04,719 --> 00:55:08,840
Speaker 7: Mean to our program? Yes, yes, definitely. Don't donate your bones,

1244
00:55:09,239 --> 00:55:11,239
Speaker 7: but money we are sure, we'll take it.

1245
00:55:11,320 --> 00:55:13,800
Speaker 1: Okay, So what I'll do is I'll put on hold

1246
00:55:13,920 --> 00:55:16,960
Speaker 1: and we'll get it. Get her the email address, and

1247
00:55:17,000 --> 00:55:19,840
Speaker 1: I'll get the organization, and that's how I'll pay my

1248
00:55:20,000 --> 00:55:22,520
Speaker 1: debt to this information that I've just learned.

1249
00:55:22,600 --> 00:55:25,080
Speaker 4: Well, yeah, and your money is going towards the program

1250
00:55:25,200 --> 00:55:28,160
Speaker 4: of Unidentified bodies.

1251
00:55:28,000 --> 00:55:31,239
Speaker 1: Right, I don't the doctor yates at Starbucks.

1252
00:55:31,280 --> 00:55:32,840
Speaker 4: Yeah, but I mean that's cool because you're going to

1253
00:55:32,920 --> 00:55:36,760
Speaker 4: be part of like helping people understand where their loved

1254
00:55:36,800 --> 00:55:41,400
Speaker 4: one and maybe missing people. And I'm very curious, like

1255
00:55:41,560 --> 00:55:45,000
Speaker 4: how many of those do you have in like a

1256
00:55:45,040 --> 00:55:48,120
Speaker 4: week or a month, Like how many cases are there?

1257
00:55:49,360 --> 00:55:54,120
Speaker 7: Yeah? Uh so these are typically cold cases, and so

1258
00:55:54,160 --> 00:55:58,600
Speaker 7: we're kind of working backlogs different places and it depends

1259
00:55:58,680 --> 00:56:01,080
Speaker 7: on who kind of reaches out to us. Right now,

1260
00:56:01,160 --> 00:56:03,879
Speaker 7: I think we have about five cases in the works,

1261
00:56:04,960 --> 00:56:07,040
Speaker 7: and then we already have a couple lined up beyond that.

1262
00:56:07,400 --> 00:56:12,240
Speaker 7: But then then it's just kind of different like sheriff's

1263
00:56:12,239 --> 00:56:15,160
Speaker 7: offices or stuff like that. Who they have cases that

1264
00:56:15,239 --> 00:56:17,759
Speaker 7: have been sitting on the shelves for a while because

1265
00:56:17,760 --> 00:56:18,120
Speaker 7: they're cool.

1266
00:56:18,160 --> 00:56:20,440
Speaker 3: King. Can you imagine so you have this body and

1267
00:56:20,480 --> 00:56:22,279
Speaker 3: you have no idea who it is.

1268
00:56:22,520 --> 00:56:24,040
Speaker 1: Have you seen Department Q on Netflix?

1269
00:56:24,760 --> 00:56:28,200
Speaker 2: Yeah, there you go, Garrison Cold Case Files, There you go.

1270
00:56:28,560 --> 00:56:31,319
Speaker 1: There it is. Wow. I think I'm doctor King. I'm

1271
00:56:31,360 --> 00:56:35,000
Speaker 1: not saying doctor King, Bobby, I'm TV shows Hey, doctor

1272
00:56:35,040 --> 00:56:37,080
Speaker 1: and a fake King. And I'm pretty excited about that.

1273
00:56:37,120 --> 00:56:37,520
Speaker 2: Awesome.

1274
00:56:37,920 --> 00:56:41,080
Speaker 1: Hey, thank you, doctor Yates. We really appreciate this. You

1275
00:56:41,160 --> 00:56:43,800
Speaker 1: have one given us a lot of stuff to talk about,

1276
00:56:43,800 --> 00:56:46,239
Speaker 1: but too like, I'm generally curious about this because I

1277
00:56:46,520 --> 00:56:48,959
Speaker 1: didn't know. I really don't know anything other than kind

1278
00:56:48,960 --> 00:56:50,759
Speaker 1: of my grandparents. So thank you for the time, and

1279
00:56:50,760 --> 00:56:51,920
Speaker 1: thank you for the time spent with us.

1280
00:56:52,800 --> 00:56:54,800
Speaker 7: Of course, no problem.

1281
00:56:54,239 --> 00:56:57,120
Speaker 1: Abby, will put her on hold. Good information. Awesome. There

1282
00:56:57,120 --> 00:57:00,440
Speaker 1: she is, doctor Marcigates. Let's give her a boss Oklahoma

1283
00:57:00,480 --> 00:57:03,240
Speaker 1: State University. In this instance, go pokes.

1284
00:57:03,680 --> 00:57:04,160
Speaker 2: I said it.

1285
00:57:05,640 --> 00:57:08,120
Speaker 1: Amy's friend went into a we'll call it an athletic

1286
00:57:08,160 --> 00:57:11,680
Speaker 1: store to buy some athletic clothes and the manager of

1287
00:57:11,719 --> 00:57:15,200
Speaker 1: this store hit on Amy's friend, which, okay, that happens,

1288
00:57:15,840 --> 00:57:18,320
Speaker 1: but what it felt like to me was the manager

1289
00:57:18,360 --> 00:57:21,120
Speaker 1: went over the line and was like touching her clothes,

1290
00:57:21,240 --> 00:57:23,360
Speaker 1: going a baby. I don't know if it'said, hey baby,

1291
00:57:23,400 --> 00:57:25,960
Speaker 1: but that's what it's called. Like right, yeah, I mean

1292
00:57:26,080 --> 00:57:29,440
Speaker 1: she felt like was close, she was trying on, he

1293
00:57:29,480 --> 00:57:30,440
Speaker 1: was touching. It was weird.

1294
00:57:30,920 --> 00:57:32,520
Speaker 3: He was obvious about a lot of things.

1295
00:57:32,800 --> 00:57:37,600
Speaker 1: So we debated should she contact his boss, and I

1296
00:57:37,640 --> 00:57:39,400
Speaker 1: was like, I would just email the company, the head

1297
00:57:39,400 --> 00:57:40,840
Speaker 1: of the company. Do you have the email?

1298
00:57:41,280 --> 00:57:44,960
Speaker 4: Yes, The subject is concern about inappropriate store behavior.

1299
00:57:45,640 --> 00:57:48,400
Speaker 1: That is solid and that will definitely be read and

1300
00:57:48,520 --> 00:57:49,400
Speaker 1: forwarded to HR.

1301
00:57:49,520 --> 00:57:53,200
Speaker 4: Go ahead, dear MANK team, I want to report an

1302
00:57:53,280 --> 00:57:56,640
Speaker 4: uncomfortable experience at one of your stores. While trying on clothes,

1303
00:57:56,680 --> 00:58:00,680
Speaker 4: the manager commented that I was hot as and.

1304
00:58:00,680 --> 00:58:06,160
Speaker 1: We determined she was. Yes, that's okay so far. We

1305
00:58:06,200 --> 00:58:07,520
Speaker 1: just needed to know if she was hot as blank.

1306
00:58:08,840 --> 00:58:10,240
Speaker 3: Don't say that to customers.

1307
00:58:10,280 --> 00:58:11,720
Speaker 1: I agree with that, but we just needed to know

1308
00:58:11,720 --> 00:58:13,800
Speaker 1: for our own sake and.

1309
00:58:13,920 --> 00:58:16,800
Speaker 4: Hit on me then touch the clothes that I was

1310
00:58:16,840 --> 00:58:20,800
Speaker 4: trying on and wearing on my bodys. I generally don't

1311
00:58:20,840 --> 00:58:24,240
Speaker 4: get easily rattled, but this behavior crossed the line. I

1312
00:58:24,240 --> 00:58:27,760
Speaker 4: believe all customers should feel safe and respected in your stores.

1313
00:58:28,240 --> 00:58:30,800
Speaker 4: I'm happy to share the store location and other details

1314
00:58:31,120 --> 00:58:31,600
Speaker 4: if needed.

1315
00:58:31,640 --> 00:58:34,440
Speaker 3: Thank you for taking this seriously. And she hasn't heard back.

1316
00:58:35,080 --> 00:58:37,960
Speaker 1: She will, and hopefully with a five dollars gift card.

1317
00:58:37,960 --> 00:58:42,280
Speaker 1: At least. That's creepy. That shouldn't have done that, But

1318
00:58:42,400 --> 00:58:44,680
Speaker 1: let's just make sure all the facts were true. Interest one.

1319
00:58:44,920 --> 00:58:47,439
Speaker 1: Did he touch her? Yes too? Is she hot is blank?

1320
00:58:48,920 --> 00:58:53,200
Speaker 4: Yes, and she would not. She only said this email

1321
00:58:53,240 --> 00:58:53,840
Speaker 4: because we.

1322
00:58:56,400 --> 00:58:57,800
Speaker 1: Aside. You can't be touching people.

1323
00:58:58,320 --> 00:59:00,680
Speaker 4: I know, yes, I know, and she stands that she's

1324
00:59:00,720 --> 00:59:03,200
Speaker 4: like even though she's like, I feel like I can

1325
00:59:03,280 --> 00:59:05,920
Speaker 4: handle that. I don't thought it was weird, but I

1326
00:59:05,960 --> 00:59:09,040
Speaker 4: was like, okay, whatever day, I know. But she that's

1327
00:59:09,080 --> 00:59:10,800
Speaker 4: just her personality, Like she's like.

1328
00:59:10,960 --> 00:59:12,959
Speaker 1: This, I kind of want to go to the store

1329
00:59:12,920 --> 00:59:14,440
Speaker 1: and see if he hits on me and then hit

1330
00:59:14,520 --> 00:59:16,280
Speaker 1: him with a knuckle sandwich. He tells me the same

1331
00:59:16,320 --> 00:59:18,200
Speaker 1: thing and like, touch my clothes, but he makes you

1332
00:59:18,240 --> 00:59:19,920
Speaker 1: feel good. He's just trying to get me to buy

1333
00:59:19,960 --> 00:59:21,560
Speaker 1: clothes and I walk out with two bags and.

1334
00:59:22,280 --> 00:59:24,400
Speaker 3: Tell me I'm hot. Why haven't you told me I'm

1335
00:59:24,400 --> 00:59:24,840
Speaker 3: hot yet?

1336
00:59:24,960 --> 00:59:26,520
Speaker 1: Or I get mad at him for not telling me?

1337
00:59:27,040 --> 00:59:27,640
Speaker 1: What are you gonna say?

1338
00:59:27,680 --> 00:59:29,080
Speaker 6: That's exactly what I was going to say. Is this

1339
00:59:29,160 --> 00:59:32,560
Speaker 6: a sales tactic? He tells everyone there hot is? It's

1340
00:59:33,080 --> 00:59:36,880
Speaker 6: that part to me was weird but not emailable. When

1341
00:59:36,880 --> 00:59:39,000
Speaker 6: he touches her, that's when it's emailable.

1342
00:59:39,040 --> 00:59:39,680
Speaker 1: I got a question.

1343
00:59:39,800 --> 00:59:42,160
Speaker 6: When he touches her like a touches her butt like

1344
00:59:43,360 --> 00:59:45,240
Speaker 6: it doesn't like she's.

1345
00:59:45,080 --> 00:59:47,560
Speaker 4: Wearing He's like, oh, like and then touch the clothes

1346
00:59:47,760 --> 00:59:49,000
Speaker 4: like you don't there.

1347
00:59:48,920 --> 00:59:52,160
Speaker 1: Yeah, you don't touch elbow, you don't touch that if

1348
00:59:52,160 --> 00:59:55,320
Speaker 1: she's wearing a long sleeve. Let's say, dry fit shirt

1349
00:59:55,520 --> 00:59:57,840
Speaker 1: because she likes to ski or something. You don't rub

1350
00:59:57,880 --> 01:00:01,160
Speaker 1: the elbow of the shirt and go your hotest blank.

1351
01:00:01,200 --> 01:00:03,920
Speaker 1: I have a portant, important question, a question, Harry, thank you,

1352
01:00:04,040 --> 01:00:04,960
Speaker 1: very important. Go ahead.

1353
01:00:05,400 --> 01:00:06,560
Speaker 2: Does he like women?

1354
01:00:07,920 --> 01:00:08,480
Speaker 1: Great question?

1355
01:00:08,480 --> 01:00:11,520
Speaker 3: Because different I think she would have given me that detail.

1356
01:00:11,600 --> 01:00:13,560
Speaker 1: Okay, because that's and I think.

1357
01:00:13,400 --> 01:00:14,560
Speaker 3: That's that's a valid question.

1358
01:00:14,720 --> 01:00:16,800
Speaker 1: If he's like, girl, your hot is blank.

1359
01:00:16,960 --> 01:00:18,520
Speaker 2: All of that sounds like that.

1360
01:00:18,800 --> 01:00:20,919
Speaker 3: I don't think she ever would have texted me about it.

1361
01:00:21,040 --> 01:00:22,600
Speaker 1: If if so, I'm going in and I'm going to

1362
01:00:22,640 --> 01:00:22,880
Speaker 1: get that.

1363
01:00:24,080 --> 01:00:25,880
Speaker 4: You know, because her text to me was like, hey,

1364
01:00:25,880 --> 01:00:27,720
Speaker 4: this just happened to me. She's like, and I know

1365
01:00:27,800 --> 01:00:30,920
Speaker 4: that I don't normally get bothered, but this is weird, right.

1366
01:00:30,840 --> 01:00:32,440
Speaker 3: And I'm like, yes, this is weird.

1367
01:00:32,960 --> 01:00:34,400
Speaker 1: I think that's a great question. And I don't think

1368
01:00:34,400 --> 01:00:36,840
Speaker 1: anybody should be touching anybody anyway, but I don't think

1369
01:00:36,840 --> 01:00:38,160
Speaker 1: it feels creepy.

1370
01:00:38,200 --> 01:00:40,680
Speaker 3: If it is not sexually attracted, right, and.

1371
01:00:40,600 --> 01:00:43,080
Speaker 2: Then the fabric of the clothes is different than touching

1372
01:00:43,120 --> 01:00:44,600
Speaker 2: her body, right, like no, you're.

1373
01:00:44,840 --> 01:00:47,440
Speaker 3: No, you don't touch it. If somebody she was trying

1374
01:00:47,520 --> 01:00:48,400
Speaker 3: on one of those.

1375
01:00:48,360 --> 01:00:52,040
Speaker 1: Nights, it doesn't matter. What's nice. You're doing your hands

1376
01:00:52,040 --> 01:00:54,480
Speaker 1: like she's running long and he's.

1377
01:00:54,320 --> 01:00:56,840
Speaker 3: Like she's trying to know, like a tennis dress.

1378
01:00:57,920 --> 01:01:01,160
Speaker 1: No, like a it doesn't matter. You can't touch the

1379
01:01:01,160 --> 01:01:04,360
Speaker 1: person's clothes and they're wearing it. And the real reason

1380
01:01:04,680 --> 01:01:06,880
Speaker 1: why he shouldn't have done it. Two, you got to

1381
01:01:06,880 --> 01:01:08,520
Speaker 1: protect other people from that happening.

1382
01:01:08,760 --> 01:01:11,120
Speaker 3: Yes, because he decided to send the yes.

1383
01:01:11,400 --> 01:01:16,240
Speaker 1: All seriousness where a jokey show all seriousness. Somebody that

1384
01:01:16,360 --> 01:01:23,040
Speaker 1: does not have the courage or the ability to deflect

1385
01:01:23,040 --> 01:01:27,800
Speaker 1: the situation might actually feel pressured and trapped. And we

1386
01:01:27,840 --> 01:01:28,560
Speaker 1: don't want that to happen.

1387
01:01:28,640 --> 01:01:30,560
Speaker 4: No, it's not good, right, And I was like, why

1388
01:01:30,560 --> 01:01:32,920
Speaker 4: didn't you put just go ahead and put out the

1389
01:01:33,040 --> 01:01:34,880
Speaker 4: store and location in there? And she's like, cool, I

1390
01:01:34,880 --> 01:01:38,240
Speaker 4: feel like if they're taking this seriously, she said, I'm

1391
01:01:38,280 --> 01:01:41,040
Speaker 4: happy to share the location and other details if needed,

1392
01:01:41,320 --> 01:01:42,360
Speaker 4: And I was like, you.

1393
01:01:42,280 --> 01:01:43,760
Speaker 3: Should have just put that out there.

1394
01:01:44,280 --> 01:01:46,480
Speaker 4: But I guess she's thinking, if they're going to take

1395
01:01:46,480 --> 01:01:49,080
Speaker 4: it seriously, they'll reply and then she can give that information.

1396
01:01:49,160 --> 01:01:51,520
Speaker 3: But I just would have given it out of the gate.

1397
01:01:51,680 --> 01:01:55,080
Speaker 1: Live and learn, not my email yet. Not you're chilly,

1398
01:01:55,280 --> 01:01:58,200
Speaker 1: that's right, I would have put that too, though. Does

1399
01:01:58,240 --> 01:02:00,680
Speaker 1: she know his name? Good question?

1400
01:02:00,960 --> 01:02:03,959
Speaker 3: I mean, I know she knows exactly, like you could go.

1401
01:02:05,040 --> 01:02:07,720
Speaker 1: Is there any chance? Definitely? You sure I'll text her?

1402
01:02:08,280 --> 01:02:13,440
Speaker 3: Is definitely because he's really stupid, because what you're.

1403
01:02:13,280 --> 01:02:14,160
Speaker 1: Gonna lose your job?

1404
01:02:15,080 --> 01:02:15,760
Speaker 3: Want me to say?

1405
01:02:16,120 --> 01:02:17,600
Speaker 1: Are you sure he wasn't Any.

1406
01:02:17,600 --> 01:02:21,120
Speaker 3: Chance that manager is gay?

1407
01:02:21,400 --> 01:02:21,640
Speaker 2: Yeah?

1408
01:02:21,760 --> 01:02:22,280
Speaker 3: Question mark.

1409
01:02:22,400 --> 01:02:24,560
Speaker 1: Yeah, and he still shouldn't do it. He shouldn't touch

1410
01:02:24,560 --> 01:02:28,560
Speaker 1: people regardless, but I can see that being a little

1411
01:02:28,560 --> 01:02:35,000
Speaker 1: more normal. Yeah. Okay, frankly i'd like it the compliment,

1412
01:02:35,920 --> 01:02:41,200
Speaker 1: you know, but but joking, joking, show that can't happen.

1413
01:02:41,200 --> 01:02:43,800
Speaker 1: I'm proud of her for sending the email. Let us know. Okay,

1414
01:02:44,680 --> 01:02:49,520
Speaker 1: all right, let's go Morgan. Last night, yes.

1415
01:02:49,640 --> 01:02:51,800
Speaker 4: I said, any chance that manager is gay? And she

1416
01:02:51,960 --> 01:02:52,840
Speaker 4: just replied no.

1417
01:02:52,880 --> 01:02:57,040
Speaker 1: Shot she full of herself? Yes, it was so quick.

1418
01:02:57,360 --> 01:03:01,200
Speaker 4: Yes, full of herself A little bit, A little bit

1419
01:03:02,440 --> 01:03:04,360
Speaker 4: she has though, But I mean I also find that

1420
01:03:04,440 --> 01:03:06,000
Speaker 4: endearing about her, like.

1421
01:03:05,920 --> 01:03:08,840
Speaker 1: Shoot, you know, all right, or jokey show look, joke

1422
01:03:08,920 --> 01:03:13,040
Speaker 1: show all seriousness. You can't touch. You shouldn't even say

1423
01:03:13,120 --> 01:03:15,960
Speaker 1: that stuff at your job. Save that for the sidewalker

1424
01:03:16,000 --> 01:03:17,160
Speaker 1: construction sites.

1425
01:03:16,960 --> 01:03:22,160
Speaker 4: Obviously, the way the story. I say, so when we say, okay,

1426
01:03:22,400 --> 01:03:23,480
Speaker 4: are you cooling yourself?

1427
01:03:24,920 --> 01:03:28,440
Speaker 1: Cool? Let us know when you get a reply okay, okay,

1428
01:03:28,680 --> 01:03:30,200
Speaker 1: it's Amy sending text for herself.

1429
01:03:31,560 --> 01:03:39,560
Speaker 3: Okay, okay. Oh oh oh oh what oh hold on,

1430
01:03:40,280 --> 01:03:41,520
Speaker 3: wait a second.

1431
01:03:41,640 --> 01:03:44,360
Speaker 1: You know the guy why slunchbox.

1432
01:03:46,920 --> 01:03:50,760
Speaker 3: Number? She just sent me a text message that Okay.

1433
01:03:50,480 --> 01:03:52,360
Speaker 1: Hold on, we're going to come back to this. This

1434
01:03:52,440 --> 01:03:56,480
Speaker 1: is to breaking news, right, breaking news. We're going to

1435
01:03:56,520 --> 01:03:58,600
Speaker 1: come back and find out the rest of the story next.

1436
01:04:00,600 --> 01:04:04,560
Speaker 1: So quick recap. Amy's friend eyes creeped on at a

1437
01:04:04,600 --> 01:04:07,840
Speaker 1: store by a store manager. Amy's friendstance an email to

1438
01:04:08,280 --> 01:04:11,640
Speaker 1: the head of the store, going, hey, this happened. Amy's

1439
01:04:11,640 --> 01:04:13,760
Speaker 1: friend just texted her back something what happened?

1440
01:04:14,160 --> 01:04:17,919
Speaker 4: So I texted her like whether or not he was gay?

1441
01:04:17,920 --> 01:04:19,520
Speaker 4: And then she was like no, And then she sent

1442
01:04:19,560 --> 01:04:24,200
Speaker 4: me a screenshot where he texted.

1443
01:04:23,720 --> 01:04:25,280
Speaker 1: Her wait, how does he have her number?

1444
01:04:25,480 --> 01:04:25,760
Speaker 2: Well?

1445
01:04:25,880 --> 01:04:27,920
Speaker 3: Good question, because I said, what, how does he have

1446
01:04:27,960 --> 01:04:28,440
Speaker 3: your number?

1447
01:04:28,720 --> 01:04:32,160
Speaker 4: And she's like, well, when I gave it for my account,

1448
01:04:32,760 --> 01:04:33,840
Speaker 4: I don't know if he took it.

1449
01:04:33,880 --> 01:04:36,840
Speaker 3: She hasn't responded or replied like how did you get

1450
01:04:36,880 --> 01:04:37,440
Speaker 3: my number?

1451
01:04:37,800 --> 01:04:39,600
Speaker 4: But she said I did have to give my number

1452
01:04:39,600 --> 01:04:40,920
Speaker 4: for my rewards.

1453
01:04:41,560 --> 01:04:43,280
Speaker 1: Yeah, this is exactly why she has to tell on

1454
01:04:43,360 --> 01:04:43,720
Speaker 1: this dude.

1455
01:04:43,840 --> 01:04:46,200
Speaker 4: I know I'm telling her to save all of this information,

1456
01:04:47,040 --> 01:04:50,480
Speaker 4: but he just put his name the store and then

1457
01:04:50,520 --> 01:04:53,640
Speaker 4: he said, it was very nice to meet you, but

1458
01:04:53,720 --> 01:04:55,480
Speaker 4: for two he goes, too.

1459
01:04:56,960 --> 01:05:01,040
Speaker 3: Very nice to meet you.

1460
01:05:00,120 --> 01:05:02,520
Speaker 1: The type of I know, I'm not judging that I

1461
01:05:02,560 --> 01:05:07,240
Speaker 1: messed that up all hater? What was the text?

1462
01:05:07,440 --> 01:05:10,600
Speaker 4: And then he said what a or two hater?

1463
01:05:11,160 --> 01:05:11,640
Speaker 2: Damn?

1464
01:05:12,080 --> 01:05:13,600
Speaker 3: I mean I can mess it up too, but I'm like,

1465
01:05:13,600 --> 01:05:16,360
Speaker 3: we need to be you can mess it up too,

1466
01:05:17,880 --> 01:05:19,080
Speaker 3: d o, and then.

1467
01:05:18,920 --> 01:05:22,880
Speaker 4: He goes, uh, I would a like to hear more

1468
01:05:22,920 --> 01:05:25,760
Speaker 4: about you. Sometimes have a great rest of your day

1469
01:05:26,000 --> 01:05:26,520
Speaker 4: about you.

1470
01:05:27,720 --> 01:05:31,120
Speaker 1: This guy is right from CATFI. I say, we can't

1471
01:05:31,160 --> 01:05:35,200
Speaker 1: fish them. Oh how do we do that? I get

1472
01:05:35,200 --> 01:05:38,320
Speaker 1: his numbers art texting him show me your butt? I mean,

1473
01:05:39,560 --> 01:05:42,520
Speaker 1: I'm here, this is my real number, show me your butt.

1474
01:05:42,800 --> 01:05:43,920
Speaker 3: Yeah this is getting weird.

1475
01:05:44,320 --> 01:05:47,480
Speaker 1: Yeah no, no, it sucks. So she should not reply.

1476
01:05:48,200 --> 01:05:50,080
Speaker 4: And that's that's that freaks me out because do you

1477
01:05:50,080 --> 01:05:51,480
Speaker 4: know how many stores that I go to and I'm

1478
01:05:51,520 --> 01:05:53,520
Speaker 4: checking out and they're like, do you have your phone number?

1479
01:05:53,560 --> 01:05:56,520
Speaker 4: And I just casually say it, or you know, what's

1480
01:05:56,560 --> 01:06:00,840
Speaker 4: your address, or like if you have to like so

1481
01:06:00,840 --> 01:06:03,440
Speaker 4: many people have access to all your information, if you

1482
01:06:03,440 --> 01:06:07,200
Speaker 4: have an account with a company, or like, what's your email?

1483
01:06:07,400 --> 01:06:08,560
Speaker 1: Interesting, you made this about you.

1484
01:06:09,040 --> 01:06:10,040
Speaker 3: I'm not making it about me.

1485
01:06:10,120 --> 01:06:12,400
Speaker 4: I'm making it about any people, any of us out

1486
01:06:12,400 --> 01:06:13,800
Speaker 4: there that just give our numbers.

1487
01:06:16,800 --> 01:06:18,680
Speaker 1: Hey, me, neither.

1488
01:06:18,760 --> 01:06:19,680
Speaker 3: But if you think about it.

1489
01:06:19,640 --> 01:06:21,240
Speaker 1: Bobby, like you thought someone was coming on to you

1490
01:06:21,280 --> 01:06:22,520
Speaker 1: one time at the grocery store, I was one time.

1491
01:06:22,560 --> 01:06:24,439
Speaker 4: It's a grocery store. And then y'all made it very clear.

1492
01:06:24,800 --> 01:06:26,680
Speaker 4: Well he made it clear when it was well.

1493
01:06:26,520 --> 01:06:28,120
Speaker 1: He said, he said, what what's your name?

1494
01:06:28,160 --> 01:06:30,120
Speaker 3: Don't even remember what your number?

1495
01:06:30,240 --> 01:06:34,320
Speaker 4: Yeah, and it was from my store points whatever phone

1496
01:06:34,360 --> 01:06:35,880
Speaker 4: number I had attached to You.

1497
01:06:37,440 --> 01:06:38,760
Speaker 1: Were like, he's hitting on me, And it turns out

1498
01:06:38,800 --> 01:06:41,200
Speaker 1: he just needed your number to put into the store. Yeah,

1499
01:06:41,840 --> 01:06:44,760
Speaker 1: you know, you're right. It's vulnerable. It's vulnerable. I hate

1500
01:06:44,800 --> 01:06:46,440
Speaker 1: that for her, and you know what, I hope it

1501
01:06:46,440 --> 01:06:47,280
Speaker 1: doesn't happen to you.

1502
01:06:48,280 --> 01:06:50,520
Speaker 3: I know it's a place she likes to shop too.

1503
01:06:50,640 --> 01:06:54,920
Speaker 3: So now she's like, great, Yeah that's tough. So anyway,

1504
01:06:55,160 --> 01:06:55,960
Speaker 3: be careful out there.

1505
01:06:56,120 --> 01:07:01,760
Speaker 4: Create a fake We need fake numbers and fake emails.

1506
01:07:02,640 --> 01:07:04,200
Speaker 1: I do have that. Yeah, you can just make those

1507
01:07:04,280 --> 01:07:07,920
Speaker 1: up l O l l ll z dot com that

1508
01:07:07,960 --> 01:07:10,880
Speaker 1: in all the time, what's your emailalls dot com?

1509
01:07:10,880 --> 01:07:12,560
Speaker 2: They're like, this is a weird one, but okay, then.

1510
01:07:12,480 --> 01:07:14,480
Speaker 3: You don't get the text messages with the deals.

1511
01:07:14,560 --> 01:07:16,880
Speaker 1: I don't want the wants those that's how you end

1512
01:07:16,960 --> 01:07:17,840
Speaker 1: up getting scammed.

1513
01:07:18,320 --> 01:07:21,280
Speaker 4: I want the twenty percent off early access.

1514
01:07:21,800 --> 01:07:24,400
Speaker 1: I need you to tell your friend not to reply,

1515
01:07:24,760 --> 01:07:27,280
Speaker 1: and when they do reply from that store to the

1516
01:07:27,280 --> 01:07:30,400
Speaker 1: email she sent, to take a screenshot of that and

1517
01:07:30,520 --> 01:07:32,760
Speaker 1: send it to them back and be like, not only that,

1518
01:07:32,800 --> 01:07:35,120
Speaker 1: I got this text message from this guy, because I'm.

1519
01:07:34,920 --> 01:07:37,480
Speaker 3: Telling you and your manager can't Hey, no jokes.

1520
01:07:37,600 --> 01:07:40,520
Speaker 1: Hey words show the jokes around a lot dramatically correct

1521
01:07:40,720 --> 01:07:42,400
Speaker 1: the time. Well, don't do the two two and two yet,

1522
01:07:43,400 --> 01:07:47,840
Speaker 1: but say because that could be somebody who makes a

1523
01:07:47,880 --> 01:07:51,080
Speaker 1: bad decision filter as vulnerable and messages them back next

1524
01:07:51,080 --> 01:07:54,440
Speaker 1: you know, they're murdered, I know, or abducted. I know

1525
01:07:54,960 --> 01:07:58,000
Speaker 1: that's weird, but yeah that's awsome. Well, the escalation would

1526
01:07:58,040 --> 01:08:00,000
Speaker 1: be abducted, the murdered. I went murder hard in that back.

1527
01:07:59,840 --> 01:08:00,760
Speaker 2: To off right.

1528
01:08:01,520 --> 01:08:04,160
Speaker 1: Yeah, that's that's Sam, Yeah, and who knew?

1529
01:08:04,360 --> 01:08:05,920
Speaker 3: Who knew? I had no idea when I texted her

1530
01:08:06,000 --> 01:08:07,480
Speaker 3: she was going to see me that screenshot and I was.

1531
01:08:07,400 --> 01:08:10,640
Speaker 1: Like, what she didn't reply, right? What if they date? Now?

1532
01:08:10,920 --> 01:08:11,680
Speaker 1: Oh my goodness.

1533
01:08:11,800 --> 01:08:13,160
Speaker 3: I mean so if she ended up.

1534
01:08:13,320 --> 01:08:15,439
Speaker 4: This is one of those stories where it's like, if

1535
01:08:15,440 --> 01:08:16,920
Speaker 4: he's cute and y'all are attracted and.

1536
01:08:16,880 --> 01:08:18,759
Speaker 3: It works out, then it's like, oh, what a sweet story.

1537
01:08:18,920 --> 01:08:21,559
Speaker 4: And if he's totally creepy, then it's like, oh, what

1538
01:08:21,640 --> 01:08:22,479
Speaker 4: a stalker weirdo.

1539
01:08:22,560 --> 01:08:25,040
Speaker 1: Yeah, I'm thinking he's not cute. Huh, it can't be cute.

1540
01:08:25,160 --> 01:08:28,600
Speaker 3: Let me ask honestly, what celebrity does he look like?

1541
01:08:28,640 --> 01:08:32,280
Speaker 1: And rate him one to ten? Is the hey, is

1542
01:08:32,320 --> 01:08:36,439
Speaker 1: he cute too? W o? Guys?

1543
01:08:36,560 --> 01:08:38,360
Speaker 3: Oh boy, the guys want to know.

1544
01:08:40,240 --> 01:08:41,800
Speaker 1: You can't even say me, I want to know. I

1545
01:08:41,800 --> 01:08:42,080
Speaker 1: want to know.

1546
01:08:42,080 --> 01:08:43,920
Speaker 4: What what else is I supposed ask her? Oh, what

1547
01:08:44,720 --> 01:08:49,599
Speaker 4: celebrity does he look like? Okay, okay, so we'll get

1548
01:08:49,600 --> 01:08:52,400
Speaker 4: an answer back apparently. I mean, she's one of those

1549
01:08:52,400 --> 01:08:55,080
Speaker 4: friends that's annoying, like she always replies back immediately.

1550
01:08:56,600 --> 01:08:57,679
Speaker 1: Yeah, that's so annoying.

1551
01:08:58,640 --> 01:09:01,960
Speaker 4: Annoying, Well, she gets anod if people don't reply promptly,

1552
01:09:02,080 --> 01:09:03,719
Speaker 4: and I'm like, well, it might.

1553
01:09:03,640 --> 01:09:04,479
Speaker 3: Take me a few days.

1554
01:09:05,320 --> 01:09:08,200
Speaker 1: Okay, then just update us later. Okay. If she doesn't

1555
01:09:08,240 --> 01:09:09,680
Speaker 1: hit you back, you got a bubble or no, you

1556
01:09:09,680 --> 01:09:10,599
Speaker 1: don't know, I don't.

1557
01:09:10,640 --> 01:09:12,240
Speaker 4: I feel like if she was by her phone, she

1558
01:09:12,240 --> 01:09:16,719
Speaker 4: would already be replying. She could be oh hmm, she's replying.

1559
01:09:16,840 --> 01:09:18,479
Speaker 4: She goes, hmm, semi cute.

1560
01:09:19,080 --> 01:09:20,200
Speaker 3: How's an ethnic.

1561
01:09:19,880 --> 01:09:25,920
Speaker 1: Vibe black dude, Mexican dude? Which one guys want to know?

1562
01:09:26,600 --> 01:09:32,280
Speaker 1: She just said, you can't. We'll bleep it.

1563
01:09:33,160 --> 01:09:36,840
Speaker 4: She said he's very tall. She's still sending more bubbles.

1564
01:09:37,560 --> 01:09:41,400
Speaker 4: She goes, I don't I dky what celeb? So I

1565
01:09:41,439 --> 01:09:44,360
Speaker 4: don't know what celeb. She's one of my younger friends.

1566
01:09:48,520 --> 01:09:50,639
Speaker 1: What other ethnic though, it's probably like your Mexican dude.

1567
01:09:51,840 --> 01:09:53,840
Speaker 3: She goes, we should try to find him online.

1568
01:09:53,960 --> 01:09:57,000
Speaker 1: No, no, stop looking for doing anything around him.

1569
01:09:57,479 --> 01:09:59,519
Speaker 4: And then she has the thing I can't say. Okay,

1570
01:09:59,560 --> 01:10:00,800
Speaker 4: all right, I'll say it to you all.

1571
01:10:00,800 --> 01:10:05,559
Speaker 1: But don't respond to him in any way. Okay, it's

1572
01:10:05,600 --> 01:10:07,120
Speaker 1: creepy though, like a white dude would do it. Though

1573
01:10:07,160 --> 01:10:08,519
Speaker 1: this is like a white dude, because white dudes are

1574
01:10:08,680 --> 01:10:09,639
Speaker 1: the creepiest dudes.

1575
01:10:09,800 --> 01:10:11,040
Speaker 2: Doesn't sound like it though.

1576
01:10:11,360 --> 01:10:12,280
Speaker 1: Like serial killers.

1577
01:10:14,280 --> 01:10:17,240
Speaker 3: Oh white guys. She did text me. I forgot to

1578
01:10:17,240 --> 01:10:18,839
Speaker 3: tell you all this part that she had texted.

1579
01:10:19,080 --> 01:10:22,000
Speaker 4: She goes, I moved my Aura ring to my left finger,

1580
01:10:22,040 --> 01:10:22,960
Speaker 4: pretending I was married.

1581
01:10:23,040 --> 01:10:26,519
Speaker 1: Okay, that's never going to be a wedding ring. It's

1582
01:10:26,640 --> 01:10:28,800
Speaker 1: never going to be a wedding ring or engagement ring

1583
01:10:29,000 --> 01:10:32,840
Speaker 1: a piece of plastic. Okay, Amy, thank you. Let us

1584
01:10:32,880 --> 01:10:35,280
Speaker 1: know how it ends up with the company, everybody. No

1585
01:10:35,320 --> 01:10:37,519
Speaker 1: one deserves to be treated like that inside of store

1586
01:10:38,240 --> 01:10:38,639
Speaker 1: period