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Speaker 1: Welcome back to the Mantra.

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Speaker 2: It's mornings Rore Radio one oh four point one broadcast

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Speaker 2: live on iHeart Radio. Also live on our YouTube channel,

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Speaker 2: Real Radio Monsters on YouTube. I'm Russ Rolands alone with

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Speaker 2: Amber Nova, Angelique, Ryan Angel and Jeed Halle here.

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Speaker 1: With his daddy. How are you?

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Speaker 2: I am wonderful, good, Happy New Year, Happy New Year

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Speaker 2: to YouTube, Happy New.

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Speaker 3: Year, Monster people. Late, I was the Ladies night Ladies there.

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Speaker 1: Yeah. Now it's for Angel to bring us Monster Sport.

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Speaker 4: Monsters, mort sprot to you buy our great friends over

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Speaker 4: there at Antica, would buire pizzeria and market. Oh yeah,

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Speaker 4: absolutely great pizza's absolutely great entrees on Wednesdays. The deal

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Speaker 4: is they have half off of us specific bottles of

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Speaker 4: wine when you sit down and have your dinner or

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Speaker 4: your lunch there.

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Speaker 1: Definitely check them out.

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Speaker 4: You can also order to deliver.

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Speaker 1: They offer that.

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Speaker 4: You go through the website and it's an Antika Woodfirepizza

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Speaker 4: dot com.

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Speaker 1: Check them out.

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Speaker 4: We're gonna start here, Orlando, imagine get back on the

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Speaker 4: hardwood Rush tomorrow seven o'clock. They have a they've had

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Speaker 4: a few days off. The Hornets aren't in town. So again,

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Speaker 4: like we were mentioning yesterday. Hopefully that helps them get

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Speaker 4: all back on their winning way.

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Speaker 2: So how many days did they get to rest after

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Speaker 2: their European trip, Like a week.

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Speaker 4: A couple extra, a few extra because they played the

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Speaker 4: last game they played here we go. So tomorrow they're

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Speaker 4: gonna play the Hornets. Last game they played with Sunday,

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Speaker 4: so Monday, Tuesday, Wednesday they played Thursday, so they got

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Speaker 4: three days off, get some rest of time and everything.

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Speaker 1: Yeah.

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Speaker 2: So and we're still above five hundred and they're still

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Speaker 2: doing pretty well.

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Speaker 4: Yeah, it's just that last one against the uh.

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Speaker 1: The Grizzlies, that was an ugly, ugly loss.

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Speaker 4: So, like I said, we need to get a string

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Speaker 4: of these, get back on our good, solid winning streak,

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Speaker 4: so that'll be fantastic. We had NHL scores yesterday. Lightning

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Speaker 4: beat the Sharks four to one, So congratulations to the

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Speaker 4: Lightning on that.

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Speaker 1: Yeah.

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Speaker 4: A couple interesting little tidbits that are happening around the

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Speaker 4: sports world of us. This is this thing is happening

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Speaker 4: more and more in college football. Duke has filed a

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Speaker 4: lawsuit against QB Darien.

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Speaker 1: Mensa.

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Speaker 4: Yeah, Mensa and the quarterback for the University of Oregan

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Speaker 4: was just in a kind of mess like this where

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Speaker 4: these guys are signing these NIL deals and then some

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Speaker 4: other college comes in and off make trying to make

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Speaker 4: them a better offer, and these kids are trying to

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Speaker 4: transfer because the rumor is that this particular quarterback was

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Speaker 4: interested in transferring to the University of Miami, and so

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Speaker 4: the college duke is like stepping in. It's like, no,

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Speaker 4: we got a deal in place, We're paying you this

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Speaker 4: many millions of dollars.

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Speaker 1: You ain't going nowhere.

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Speaker 4: So we'll see, uh, we'll see how that pans itself out.

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Speaker 2: So do you think this has changed college college football

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Speaker 2: since the and I did? I mean it has changed

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Speaker 2: college football?

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Speaker 1: Oh yeah, yeah, yeah.

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Speaker 2: Because like you probably wouldn't have seen Indiana.

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Speaker 4: No, no, again, it's an absolutely documented coach Signetti had

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Speaker 4: a great success, said James Madison. University of Indiana grabs him,

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Speaker 4: brings them over to there, they get a ton of

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Speaker 4: money up with with the boosters and sponsors to come

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Speaker 4: in to help support their NIL programs. And then you

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Speaker 4: got and then you had what's his name, Mark Cuban

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Speaker 4: come in and he I think he gave the program

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Speaker 4: like ten million, fifty million dollars.

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Speaker 2: Do you think it's made college football more fair?

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Speaker 1: It's bastardized. No, it is. It's more fair for top

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Speaker 1: tier teams.

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Speaker 5: But if your team, like UCF, our program has been

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Speaker 5: like colleges at that level have been completely gouted.

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Speaker 1: Yeah, like you see up.

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Speaker 2: I know for a fact a lot of kids left

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Speaker 2: to go to other schools.

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Speaker 1: To make more money.

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Speaker 4: So okay, but that's on UCF and that program to

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Speaker 4: cultivate the culture.

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Speaker 1: To have culture. Okay, we're a giant office park, you

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Speaker 1: know that.

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Speaker 4: That's yas Walt because before there was only a handful

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Speaker 4: of schools that got that got away with paying uh

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Speaker 4: A student football players looking at Alabama, right, So a

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Speaker 4: few years ago it was like three or four schools

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Speaker 4: that were slicking up and figured out how to pay

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Speaker 4: their players. Now everyone's doing it. So yeah, it's even

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Speaker 4: the play and field. And if you're upset that uses

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Speaker 4: and cultivated that, that's on the program. Because there's plenty

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Speaker 4: of UCF grads that are multi millionaires, multi billionaires that

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Speaker 4: could be donating to that. They just need to be

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Speaker 4: catered to. How do you think the University of Indiana

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Speaker 4: gets Mark Cuban's attention That's what.

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Speaker 6: I was just gonna say.

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Speaker 7: It's all about the donors.

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Speaker 4: Boosters, your boosters, your donors, all of that kind of stuff.

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Speaker 1: You know.

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Speaker 3: UCF is such a night. Yeah, it's such a new

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Speaker 3: school that they don't have that years and years of

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Speaker 3: tradition of loving the school and and the sports thing

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Speaker 3: enough to have the boosters put in extra money like that.

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Speaker 7: Well, maybe not as long, but no, they've I mean

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Speaker 7: they've been around for a while.

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Speaker 1: It's been around for a while.

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Speaker 3: No, no, no, I know, but when do they come around?

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Speaker 3: I'm talking about if you talk about University of Florida,

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Speaker 3: we're talking about almost the turn of the city.

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Speaker 1: Yeah.

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Speaker 4: Yeah, but you got like at least twenty five years

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Speaker 4: and you see a football Dante Culpepper came back.

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Speaker 8: Yeah.

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Speaker 3: Yeah, I'm not saying that. I'm not saying that we

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Speaker 3: didn't have a great places about generational well about generational

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Speaker 3: love for the school. It's just like Orlando. Orlando is

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Speaker 3: not really a city of with that has the population

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Speaker 3: of this size.

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Speaker 1: Yeah, it's nicky, all right, whoa.

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Speaker 6: Whoa, Yeah more than Mickey Now, we're universal.

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Speaker 2: Yeah, we got Harry Potter, for God's sake.

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Speaker 6: We got Penguins too. We're about to have slocks.

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Speaker 1: Russ during the broadcast. Uh.

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Speaker 4: And now now we're gonna get to the scandalous part

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Speaker 4: of this is the biggest This is the biggest scandal

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Speaker 4: happening in.

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Speaker 1: Sports right now. I like a good stand.

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Speaker 4: There are are people's jobs that are on the line.

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Speaker 1: There are people that are getting.

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Speaker 4: Run down, right, and it's all off of the broadcast

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Speaker 4: of the college football Championship on Monday night.

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Speaker 1: This was disgusting. I can't believe this. I don't know this. Also,

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Speaker 1: you can get me here info. I don't know that.

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Speaker 4: You'll have it here momentarily, right, all right, So the

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Speaker 4: championship game was University of Indiana versus University of Miami

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Speaker 4: Hoosiers versus the Hurricane for the national Championship. Big in Miami,

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Speaker 4: Party city, Miami. Uh, mister three oh five was in

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Speaker 4: the house. There was all kinds of celebrities everywhere, and

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Speaker 4: everything broadcast goes is going down. First half of the game,

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Speaker 4: it was, second half of the game was iconic, amazing, amazing. Right,

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Speaker 4: You've got cameramen that are in the that are doing

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Speaker 4: their job. These are cameramen that are they're just doing

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Speaker 4: their jobs, cameraman business. It's ESPN. They're putting the game on.

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Speaker 4: And every now and then you're gonna go, are you

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Speaker 4: gonna get a screenshow are you You're gonna get a

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Speaker 4: crowd shot. You're gonna pay into the crowd, get people's reaction.

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Speaker 4: You know, you want people to connect with the fans

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Speaker 4: that are there, high dramatic moments, and uh, every now

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Speaker 4: and then sometimes man, you know, cameraman can linger apparently,

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Speaker 4: and it might linger with a Yeah, that's the face

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Speaker 4: right there is the face. The rest of the picture.

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Speaker 1: Lady, regular lady, regular lady. Yeah, young lady.

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Speaker 4: So let me introduce you to a Bella Danger and

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Speaker 4: that is her name. She is a porn star of

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Speaker 4: the world of world famous porns.

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Speaker 2: She doesn't look like a porn star. Stuttered in Miami,

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Speaker 2: A B.

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Speaker 1: She looks like.

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Speaker 4: And so now, uh, there are all kinds of people

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Speaker 4: that are coming down on ESPN.

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Speaker 1: So they were just showing her face. They weren't showing her.

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Speaker 1: It was a it was a bigger shot. And how

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Speaker 1: long they lingered on it. Let's let's be able to judge.

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Speaker 1: This probably the right shot. Ryan.

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Speaker 4: There's other photographs of Abella at the Championship game. Be

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Speaker 4: careful how you'd search that. But there's other at the

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Speaker 4: she is Okay.

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Speaker 3: She's showing her belly, but yeah, I want to see

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Speaker 3: the money shot.

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Speaker 4: But it's so what they're upset about Russ is that

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Speaker 4: how long they lingered on her and how many times

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Speaker 4: they came back to her.

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Speaker 2: So did the cameraman know that he that she was

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Speaker 2: at porns already? He just like, oh, wow, she's really

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Speaker 2: pretty showhurt.

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Speaker 4: Okay, if I'm having to if you're asking me and

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Speaker 4: I'm having to bet money, Yeah, there's no doubt that

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Speaker 4: either the cameraman or someone in the truck knew exactly

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Speaker 4: who she.

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Speaker 2: Well, okay, she just looks like a kid that's at

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Speaker 2: the game. I mean she doesn't look like a porn star.

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Speaker 2: You know, like they know that.

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Speaker 1: You're assuming, they.

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Speaker 3: Know they're poor.

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Speaker 5: Maybe as the audience and you got a camera, you

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Speaker 5: know she's there.

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Speaker 1: Yeah.

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Speaker 7: Yeah, maybe the cameraman at first didn't realize it. But

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Speaker 7: like Angel said, somebody in the back was like, hey,

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Speaker 7: stay there, say the stay there, stay there.

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Speaker 1: I know who she is. So now ab seasoned in

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Speaker 1: the heat, they're taking heat, I.

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Speaker 4: Said, in the way they're getting at ESPN, They're getting

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Speaker 4: at the cameraman, they're getting at the way that is produced.

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Speaker 1: They're getting at it.

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Speaker 4: And a bella dangerous come out and said, Hey, I

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Speaker 4: was just trying to be invisible.

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Speaker 1: I'm just a fan. She's a big fan. There's tons

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Speaker 1: of photos of her. I've never heard of her before.

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Speaker 4: Really, Yeah, you're the only one that I believe you.

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Speaker 4: But you're literally the only one. She's got ten million

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Speaker 4: followers on Instagram. Okay, it's one of them, is not you.

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Speaker 4: I wouldn't expect you to.

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Speaker 3: Yeah, you know, Miami fan, A.

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Speaker 1: Huge Miami fan, huge Miami girl.

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Speaker 4: Uh but yeah, so that's what the drama is today.

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Speaker 3: The Queen of Knes.

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Speaker 4: Yeah, real quick, as we wrapped Monster Sports up, we

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Speaker 4: got a guy that have been admitted into the Baseball

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Speaker 4: Hall of Fame, and I just wanted to give a

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Speaker 4: shout out to one of my favorite players of all time.

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Speaker 4: Andrew Jones of the Atlanta Braves has been voted into

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Speaker 4: the Hall of Fame.

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Speaker 1: Good on you.

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Speaker 4: He was on the verge of falling out of that

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Speaker 4: being able to be voted in RUSS and one of

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Speaker 4: the reasons that I became a huge fan of his

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Speaker 4: is during that era of MLB baseball video games, I

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Speaker 4: would destroy all my fans, all my friends with Andrew

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Speaker 4: Jones and they and they hated me.

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Speaker 1: It was Andrew and Chipper.

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Speaker 9: Uh.

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Speaker 4: That was the era of baseball that I remember as

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Speaker 4: far as being a casual fan. So congratulations to him.

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Speaker 4: There's a Beltran also made it. So all these guys,

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Speaker 4: but the one that I really stood out to being

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Speaker 4: was Andrew Jones, and that's muscles.

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Speaker 1: Thank you so much.

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Speaker 2: If you want to check out our YouTube channel, Real

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Speaker 2: Radio Monsters on YouTube, and remember coming up at nine

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Speaker 2: o'clock an opportunity to win one thousand dollars if you

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Speaker 2: listen for the keyword.

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Speaker 2: You plug it in at Real Radio dot FM and

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Speaker 2: win you one thousand dollars. Coming up here at nine

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Speaker 2: o'clock and ten o'clock today on Real Radio one of

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Speaker 2: four point one. You're listening to the mantra of the morning.

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Speaker 1: Hey, welcome back to my moms.

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Speaker 2: This morning is a radio one o four point one

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Speaker 2: broadcasting live.

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Speaker 1: On iHeartRadio on the iHeartRadio app.

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Speaker 2: It is a favor make us the number one preset

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Speaker 2: that makes everybody happy around here and we would appreciate it.

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Speaker 8: Was it.

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Speaker 10: I'm Russ Rowlands along with Angel and Ryan, Angeline Gamber

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Speaker 10: and Jeff Howe all here today. Jueton seen you since

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Speaker 10: the holidays? Yeah, yeah, you have a good Christmas New

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Speaker 10: Year ours was it was perfect. And went to New Orleans.

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Speaker 10: Oh that's right, yeah, yeah, yeah, yeah, he.

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Speaker 3: Said they cleaned up the pee pee smell. Yeah they did.

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Speaker 2: They do like every morning at five o'clock in the morning,

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Speaker 2: they pressure wash all of Bourbon Street. So like anytime

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Speaker 2: I was there, it wasn't dirty, it wasn't nasty. I know,

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Speaker 2: there were people are like, there were people. There are

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Speaker 2: people that hate Bourbon Street and they hate in New Orleans.

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Speaker 2: Were there, and to be fair, I would be in

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Speaker 2: bed by eight o'clock every night and i'd be there

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Speaker 2: about noon, you know, so I was there at the

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Speaker 2: times probably that it may have been dirty at other times,

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Speaker 2: but when I was there, it was always clean.

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Speaker 1: Yeah.

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Speaker 3: When when the first time Russell went to New Orleans,

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Speaker 3: he went down there and he went, oh my god,

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Speaker 3: I can't even said the peepee'mel. Yeah, it was bad

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Speaker 3: at first. I was there for years. I thought I

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Speaker 3: thought it was permanent. But that was even Katrina didn't

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Speaker 3: watch That was the nineties though, Jeff that we did. No, No,

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Speaker 3: that was a cruise we took in the nineties. I

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Speaker 3: remember that was a long time ago. Yeeah, so your

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Speaker 3: nose has got decensitive. I think they've cleaned it up,

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Speaker 3: That's what I was saying. Yeah, I think they've cleaned

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Speaker 3: up since then.

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Speaker 2: But hey, so this is one of these stories that

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Speaker 2: I'm gonna bring it up just because I think it's

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Speaker 2: a very interesting. I don't know if there's a topic here,

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Speaker 2: I'm gonna try to make it into one.

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Speaker 1: And actually I thought about a way to get everybody involved.

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Speaker 2: Okay, So okay, what is it called when animals, Like

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Speaker 2: when they show animals like they started in the water

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Speaker 2: and then after millions of years they evolution. That's what

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Speaker 2: I'm looking for. Okay, So evolution. Okay, so this is

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Speaker 2: a this is yeah, I couldn't think of the word.

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Speaker 2: This is a an exchance. They're saying, this is an

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Speaker 2: example of evolution. Okay, So there is an animal. Then

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Speaker 2: they found the first documented case of this animal using tools.

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Speaker 1: You do know it? I think it's so cool. Okay,

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Speaker 1: that makes me want to eat them? Okay, So what

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Speaker 1: animal do you think? Angel? Have you seen this story yet? What?

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Speaker 2: I have?

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Speaker 1: Not? Okay? What animal do you think? They have found?

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Speaker 2: The very and they're shocked, like scientists, like, we can't

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Speaker 2: believe it. This animal is caught using a tool. It

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Speaker 2: was using a broomstick to scratch it back, okay, and

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Speaker 2: they're like, what the hell? How do this animal learn

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Speaker 2: to do this? What animal do you think we're talking about?

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Speaker 2: Et elephant? Not a bad guess, but I think they

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Speaker 2: already used tools, so I don't know that that would

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Speaker 2: be a story. Aey, what do you think this animal?

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Speaker 2: They found the first documented case an evolution of it

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Speaker 2: using a tool for.

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Speaker 7: The first time, and this is one that we would

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Speaker 7: not think of that would use a tool.

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Speaker 2: I know exactly. They were shocked. They don't they don't

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Speaker 2: know how it learned to do it, and they're like, man,

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Speaker 2: this is crazy.

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Speaker 1: A gator a gator? It is not a gator?

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Speaker 2: Amber Nova, what do you think animal that they're saying

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Speaker 2: evolution is?

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Speaker 6: It's not an obvious guess.

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Speaker 1: It's not an obvious guest.

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Speaker 6: No, oh, man, I was definitely going to go raccoon.

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Speaker 2: A raccoon not a bad guess. Matter of fact, do

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Speaker 2: raccoons use tools?

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Speaker 1: I don't know that.

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Speaker 6: Atore and got drunk. You can do anything.

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Speaker 2: Let's show Yeah it's not that. What do you think, Jeff?

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Speaker 3: Oh well, I think okay, So animals to reach a vacuum,

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Speaker 3: we do. They have to have the what about a giraffe?

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Speaker 2: A giraffe not a bad guys, it's closer to a giraffe.

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Speaker 1: Uh.

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Speaker 2: They found the first cow. This is the very first

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Speaker 2: cow to use a broom You're not smart, no smart,

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Speaker 2: this one is Uh, this cow is smarter than the

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Speaker 2: average cow. And then it's use a broomstick to scratch itself.

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Speaker 2: And they're saying it's the first documented case, and it's

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Speaker 2: showing that they're they're learning and and uh, who knows

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Speaker 2: they could take over one day? Did you did you

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Speaker 2: find the video?

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Speaker 5: Let's see this from the BBC trying to pull it

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Speaker 5: up right now.

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Speaker 11: Uh yeah, the cows, man, I don't want you don't

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Speaker 11: want them to.

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Speaker 5: Be smart because they're not smart, because they're gonna You're

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Speaker 5: gonna eat them.

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Speaker 1: They're they're looking at use that tool to scratches back. Yeah,

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Speaker 1: it's a cool looking cow.

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Speaker 2: It is a cool looking cow. What other animals use tools?

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Speaker 2: I know that I know that the crows use tools. Well,

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Speaker 2: I know they know how to they know how to

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Speaker 2: like uh, they'll take like little shiny things and bring

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Speaker 2: it to you.

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Speaker 5: Yeah, but they'll use like a tool and a stick,

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Speaker 5: and they'll get stuff out. So tools like monkeys used to.

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Speaker 5: Monkeys are apparently in the stone right now, did.

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Speaker 1: You see them? They've got monkeys. I think it's in India.

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Speaker 2: I believe it is that will steal your stuff and

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Speaker 2: they won't give it back to you.

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Speaker 1: Unless you give them food. If you give them.

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Speaker 2: Food, they'll give you your your cell phone back.

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Speaker 6: They are trained, No, no, no.

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Speaker 1: They said that they have learned this behavior.

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Speaker 7: I mean they're they're not like someone went and trained

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Speaker 7: them to do this, but they've learned over the repetition

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Speaker 7: of time, like hey give it back, I'll give you this.

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Speaker 1: Yeah, they learned to do that themselves.

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Speaker 5: Uh.

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Speaker 6: So I don't know what other animal would.

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Speaker 2: Pigs are smarter than cows, right, so you would think

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Speaker 2: a pig would have learned to use a tool by now,

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Speaker 2: you know.

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Speaker 5: Yeah, but what they do at three am after you're

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Speaker 5: taking home from a bar.

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Speaker 1: Scratches back pig has got a scratch.

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Speaker 3: What is a pig? That's a hard back to get

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Speaker 3: to because you know they've got a little more girth

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Speaker 3: in that, Yeah, a little more fat.

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Speaker 2: Is the video of the cow scratching his back. That's

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Speaker 2: pretty that's pretty cool.

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Speaker 6: Yeah, but all animal I mean you have to think

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Speaker 6: about it.

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Speaker 7: They normally use trees, they normally go it's not like

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Speaker 7: they they don't.

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Speaker 5: This is this is different than that, like because he's

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Speaker 5: milking himself.

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Speaker 1: Yeah, he was scratching her others if you're gonna.

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Speaker 3: Yeah, that's a whole level of evolution.

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Speaker 2: Now, I know they like elephants will use a tree

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Speaker 2: to scratch their back sort of using a tool.

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Speaker 6: Yeah, bears will do it. I mean there's a lot.

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Speaker 5: Of no use a grounding up in the back and

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Speaker 5: scratching something. It's different than like having the wherewithal to

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Speaker 5: like grab something and then use it as a device

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Speaker 5: on yourself. It just shows a different level of evolution

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Speaker 5: that the scientists aren't wrong on this one.

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Speaker 2: Do you think a bear would grab a stick like

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Speaker 2: that and scratch the No, I don't think so.

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Speaker 6: I think a bear.

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Speaker 11: Yeah, I want to eat this smart count.

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Speaker 5: I want to eat them, and I want to, like

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Speaker 5: highland or like steal his smarts.

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Speaker 1: You know how, Why do you want to eat him?

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Speaker 5: Because because first of all, I don't need a cow uprising.

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Speaker 5: That's that's that's how it starts.

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Speaker 2: One that smart I don't want to eat. I'm like, oh,

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Speaker 2: another one's too smart. Look at her scratching.

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Speaker 1: Her utters, scratching her utters. They've just cow found a builder.

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Speaker 11: Oodness, okay, this cow's mooster man.

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Speaker 4: The only one that's like, not impressed by this at all.

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Speaker 1: You're not not even a little bit with scientists are

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Speaker 1: way impressed. I'm really, I'm really learn to use a tool.

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Speaker 4: I heard you, And what I'm saying is, I'm disappointed

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Speaker 4: in the scientists that this is the level of what

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Speaker 4: intrigues them.

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Speaker 5: The public education has been bad for a few years now.

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Speaker 1: And do you want to impress me?

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Speaker 4: If that if that cow walked up to me and

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Speaker 4: be like, yo, what's up, then we got something, all right.

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Speaker 7: So it says chimps, orangutang's birds, dolphins, crows, woodpecker, finches,

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Speaker 7: sea otters, elephants, mongoose, bears, octopus.

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Speaker 2: That researchers say that this shows that howls may have

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Speaker 2: hidden problem solving skills. Uh, that are now coming to

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Speaker 2: the service after all these years.

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Speaker 1: Wow, after you know, hundreds of years of them being consumed.

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Speaker 4: Well, one of them figured out how to scratch his

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Speaker 4: back and now we have to rethink all of cows.

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Speaker 1: Yeah, you end up on a plate somewhere.

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Speaker 3: Next week, there was some kind of it might have

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Speaker 3: been a monkey, or it might have been one of

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Speaker 3: the kind of lemur type animals of everything. But they

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Speaker 3: showed one that took a stick. Yeah, put it down

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Speaker 3: the hold and letting termites or ants get on it, right,

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Speaker 3: pull it back up and eat that.

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Speaker 1: And that was that's using a tool. Yeah, yeah, well

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Speaker 1: I thought it was amazing. There you go. There's my

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Speaker 1: cow topic. You're listening to the MONSI.

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Speaker 8: Morning, Welcome back to the Manses.

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Speaker 2: Warnings are radio on one of four point one. Jeff

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Speaker 2: Howell here today, Jeff, you're going to be playing where soon?

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Speaker 1: Yeah?

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Speaker 3: Actually two gigs this week. Well Casey, my son will

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Speaker 3: be playing a cherry pocket in Lake Wales this Thursday

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Speaker 3: from four to eight.

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Speaker 1: That's where I live.

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Speaker 3: Yeah yeah, well it's Thursday. Yeah, you know four o'clock.

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Speaker 3: You go to bed at five. Yeah, yeah, yeah, okay.

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Speaker 3: And then Friday, Casey and I are playing first time

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Speaker 3: at Castleberry's Patio and Lounge in Castleberry from nine thirty

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Speaker 3: to one thirty this Friday night.

444
00:20:24,280 --> 00:20:26,760
Speaker 2: You might want to look up the definition of retirement.

445
00:20:26,840 --> 00:20:28,280
Speaker 1: Yeah, I don't know.

446
00:20:28,280 --> 00:20:29,919
Speaker 3: If I don't love if you're doing it right, I

447
00:20:30,000 --> 00:20:31,440
Speaker 3: use the term loosely.

448
00:20:31,080 --> 00:20:31,560
Speaker 1: I guess so.

449
00:20:32,320 --> 00:20:34,600
Speaker 2: Well, good, good guys, So people go check out Jeff Howell.

450
00:20:34,640 --> 00:20:34,959
Speaker 1: What's up?

451
00:20:35,000 --> 00:20:38,920
Speaker 2: I'm Russ with with angel and Ryan Angelique and Ambernova.

452
00:20:39,040 --> 00:20:41,600
Speaker 1: And also here today is our buddy friendly Ray Trentley.

453
00:20:41,600 --> 00:20:43,880
Speaker 1: What's up? Ray Trentley? Hey do money? Good morning. I'm well,

454
00:20:44,400 --> 00:20:46,640
Speaker 1: so let me ask a question. How are you feeling about?

455
00:20:46,880 --> 00:20:48,760
Speaker 2: You know, you're my only I'm trying to think of

456
00:20:48,880 --> 00:20:50,000
Speaker 2: having another Dolphins friend.

457
00:20:50,000 --> 00:20:52,400
Speaker 11: I do not Joe CRUs He's also a Dolphins fan.

458
00:20:52,440 --> 00:20:53,840
Speaker 2: Okay, I don't talk to him as often as I

459
00:20:53,960 --> 00:20:55,879
Speaker 2: as I talk to you. So I told you so.

460
00:20:55,880 --> 00:20:58,920
Speaker 2: So the Miami Dolphins have a new coach, a guy

461
00:20:58,960 --> 00:21:00,840
Speaker 2: I had never heard of before. I was hoping to

462
00:21:00,880 --> 00:21:04,640
Speaker 2: get the shule a guy just because you know, legacy legacy,

463
00:21:04,720 --> 00:21:07,120
Speaker 2: right right, right right? But what do you think about

464
00:21:07,119 --> 00:21:09,320
Speaker 2: the new guy? They hired as a head coach one

465
00:21:09,359 --> 00:21:10,359
Speaker 2: I had never heard of before.

466
00:21:10,440 --> 00:21:14,520
Speaker 9: Yeah, Jeff Haffley, a former Boston College head coach, former

467
00:21:14,520 --> 00:21:15,920
Speaker 9: defensive coordinator for the Packers.

468
00:21:16,200 --> 00:21:16,840
Speaker 11: I'll tell you what.

469
00:21:17,160 --> 00:21:19,119
Speaker 4: None of that means nothing to Russ because he doesn't

470
00:21:19,160 --> 00:21:20,960
Speaker 4: know who he is. So we got you gotta sell

471
00:21:21,000 --> 00:21:21,480
Speaker 4: this to him.

472
00:21:21,480 --> 00:21:23,879
Speaker 11: So let me explain some backstory for you.

473
00:21:24,040 --> 00:21:24,159
Speaker 8: Here.

474
00:21:24,240 --> 00:21:26,920
Speaker 1: Here's how we're going to turn around our season next Okay,

475
00:21:27,040 --> 00:21:28,000
Speaker 1: this is what I need to hear. Okay.

476
00:21:28,200 --> 00:21:30,919
Speaker 9: So the Dolphins hired their new GM, which was the

477
00:21:30,960 --> 00:21:36,160
Speaker 9: player Personnel VP for the Packers, John Sullivan. He immediately

478
00:21:36,200 --> 00:21:37,560
Speaker 9: brought in a defensive corner.

479
00:21:37,640 --> 00:21:38,439
Speaker 11: He was familiar with.

480
00:21:39,200 --> 00:21:41,520
Speaker 9: What we're gonna start seeing is some of these Packers

481
00:21:41,520 --> 00:21:44,400
Speaker 9: players that are gonna get, you know, the short stick

482
00:21:44,400 --> 00:21:47,840
Speaker 9: because they're not going to renegotiate their contracts. Malik Willis,

483
00:21:48,000 --> 00:21:50,160
Speaker 9: I mean he's I think he's like three and one

484
00:21:50,280 --> 00:21:52,840
Speaker 9: or four and one as a quarterback, but he's played phenomenal.

485
00:21:53,920 --> 00:21:56,480
Speaker 4: Right, that's the guy. That is the guy, that's the guy.

486
00:21:56,800 --> 00:21:59,080
Speaker 4: There's a handful of teams that are looking at him,

487
00:21:59,119 --> 00:22:00,320
Speaker 4: so he's going to be the guy.

488
00:22:01,200 --> 00:22:01,720
Speaker 11: Can't have him.

489
00:22:01,760 --> 00:22:03,840
Speaker 4: He's the most valuable free agent. That's going to happen

490
00:22:03,880 --> 00:22:07,000
Speaker 4: this summer, right and uh, and he's been under the

491
00:22:07,040 --> 00:22:09,400
Speaker 4: perfect tutelage to become So he coming out of college

492
00:22:09,400 --> 00:22:11,200
Speaker 4: for US. He came out of really small college. Yeah,

493
00:22:11,280 --> 00:22:13,880
Speaker 4: he had all the natural talents, but he hadn't played

494
00:22:13,880 --> 00:22:17,959
Speaker 4: at an elite level as far as quarterback schools go.

495
00:22:18,480 --> 00:22:21,159
Speaker 4: But he just a stud of a of a player.

496
00:22:21,320 --> 00:22:23,800
Speaker 4: And he's been under the tutelage over there at Green Bay,

497
00:22:24,560 --> 00:22:27,440
Speaker 4: learning behind love, getting all that coach and getting his

498
00:22:27,520 --> 00:22:32,560
Speaker 4: footwork together and everything. I know of another professional football

499
00:22:32,600 --> 00:22:34,760
Speaker 4: team out of the city of Pittsburgh that.

500
00:22:34,640 --> 00:22:35,440
Speaker 1: Is he can't have him.

501
00:22:35,480 --> 00:22:39,040
Speaker 4: That's got this guy, got this guy as their number

502
00:22:39,040 --> 00:22:40,760
Speaker 4: one acquisition in the free agents.

503
00:22:41,080 --> 00:22:42,440
Speaker 1: So this guy is hot.

504
00:22:42,480 --> 00:22:47,120
Speaker 4: The quarterback he's talking about, No, dude, he's yoked, he's

505
00:22:47,200 --> 00:22:48,920
Speaker 4: built like you know, he's tough.

506
00:22:49,000 --> 00:22:51,320
Speaker 6: Yeah, listen, I think the Jets might also be looking.

507
00:22:51,600 --> 00:22:56,160
Speaker 9: Listen. One, Jets just don't even know what a quarterback is. Steelers,

508
00:22:56,160 --> 00:22:58,280
Speaker 9: You guys need to hire a coach first before you

509
00:22:58,280 --> 00:23:00,040
Speaker 9: get a quarterback, or at least.

510
00:22:59,920 --> 00:23:02,600
Speaker 6: A position, like in any position.

511
00:23:02,800 --> 00:23:06,679
Speaker 9: We are in a position to maximize his success. Okay,

512
00:23:06,880 --> 00:23:09,560
Speaker 9: we have one of the best running backs in the NFL. Okay,

513
00:23:09,720 --> 00:23:17,639
Speaker 9: one of the most electric wide receivers in the NFL.

514
00:23:15,359 --> 00:23:15,760
Speaker 2: To come in.

515
00:23:15,800 --> 00:23:17,040
Speaker 1: I need a ready to come in for sure.

516
00:23:17,119 --> 00:23:21,680
Speaker 9: We need this piece. And it's Super Bowl Baby, We're there.

517
00:23:21,480 --> 00:23:25,879
Speaker 7: The God you just get taken out what you just enjoyed.

518
00:23:25,960 --> 00:23:28,760
Speaker 3: Right, there was a man doing sports tackling.

519
00:23:29,040 --> 00:23:34,320
Speaker 1: Yeah, yeah, he talked megling. You're trying to get talk

520
00:23:34,400 --> 00:23:35,639
Speaker 1: something down for He's talking to.

521
00:23:38,359 --> 00:23:40,040
Speaker 3: A team that's gonna be crapp.

522
00:23:41,160 --> 00:23:43,680
Speaker 1: Listen, we can't be worth doing where this past year.

523
00:23:44,280 --> 00:23:44,680
Speaker 3: That's true.

524
00:23:44,960 --> 00:23:47,000
Speaker 9: And I think Malik Willison is going to be the answer.

525
00:23:46,960 --> 00:23:48,840
Speaker 9: And I think what you're gonna see too is you're

526
00:23:48,840 --> 00:23:52,080
Speaker 9: going to see a complete restructuring of the defense because

527
00:23:52,160 --> 00:23:55,159
Speaker 9: Jeff Hafley is a defensive minded coach. Yeah, and I

528
00:23:55,160 --> 00:23:57,159
Speaker 9: think you're going to see like a Chris Shula or

529
00:23:57,240 --> 00:24:00,000
Speaker 9: somebody be an offensive coordinator who's going to be very

530
00:24:00,119 --> 00:24:01,000
Speaker 9: he created.

531
00:24:01,119 --> 00:24:03,440
Speaker 1: So we can still get the Shooler guy. He's still

532
00:24:03,480 --> 00:24:03,920
Speaker 1: on the market.

533
00:24:04,000 --> 00:24:06,640
Speaker 2: Okay, Well here's the I want to shoot unless unless he.

534
00:24:06,640 --> 00:24:08,240
Speaker 4: Was the Browns. Oh no, he's going to go to

535
00:24:08,240 --> 00:24:12,040
Speaker 4: the Steelers. Shoeler's had his second interview in Pittsburgh.

536
00:24:11,880 --> 00:24:16,240
Speaker 9: Oh man, all right, well listen, we'll get for Pittsburgh

537
00:24:16,240 --> 00:24:17,680
Speaker 9: and say, if somebody's gonna get.

538
00:24:17,600 --> 00:24:20,720
Speaker 1: Him, I'd rather be you, guys. I don't want him. Also,

539
00:24:20,840 --> 00:24:23,639
Speaker 1: Ray the bills. Did you know cows can use tools?

540
00:24:23,640 --> 00:24:26,760
Speaker 1: Did you hear that? I do a couple in college.

541
00:24:29,520 --> 00:24:32,400
Speaker 3: Right nineties radio?

542
00:24:32,600 --> 00:24:34,399
Speaker 1: Is I love it?

543
00:24:34,480 --> 00:24:34,760
Speaker 8: Baby?

544
00:24:35,000 --> 00:24:38,159
Speaker 1: Go right? Ai? Yeah, you brought that up.

545
00:24:38,200 --> 00:24:39,960
Speaker 2: You said you thought that could have been Ai the

546
00:24:40,040 --> 00:24:41,880
Speaker 2: cow using a stick to scratch his back.

547
00:24:41,920 --> 00:24:43,199
Speaker 1: But Ryan has looked it up.

548
00:24:43,280 --> 00:24:45,879
Speaker 2: Ryan, what's your You know, you're usually pretty hot on

549
00:24:45,920 --> 00:24:46,840
Speaker 2: this AI stuff.

550
00:24:47,080 --> 00:24:48,760
Speaker 1: You're a barometer on this, your barometer.

551
00:24:48,840 --> 00:24:50,760
Speaker 2: Do you think that cow is a I or is

552
00:24:50,760 --> 00:24:52,840
Speaker 2: that a real cow using a real stick? Uh?

553
00:24:53,440 --> 00:24:53,680
Speaker 1: Man?

554
00:24:54,400 --> 00:24:57,280
Speaker 5: It's from the BBC and they've got several angles of it.

555
00:24:57,359 --> 00:24:59,479
Speaker 5: I mean there's stuff that gets me. Like right now,

556
00:24:59,520 --> 00:25:01,480
Speaker 5: I'm trying to figure out this current video. I'm looking

557
00:25:01,480 --> 00:25:03,399
Speaker 5: at his a I have a cheetah and a hippo.

558
00:25:04,760 --> 00:25:06,960
Speaker 1: What you're looking at you're looking at a bellow it.

559
00:25:07,080 --> 00:25:08,680
Speaker 11: Now, I'll show you this one. It's I don't know

560
00:25:08,680 --> 00:25:09,600
Speaker 11: if it's a I or no.

561
00:25:10,160 --> 00:25:17,359
Speaker 3: Yeah, I'm going I'm going that's that's so funny.

562
00:25:17,440 --> 00:25:22,880
Speaker 4: Yeah, thats onndred percent is one do this? Yeah they

563
00:25:22,880 --> 00:25:25,600
Speaker 4: could do that, and they're that could possibly, but it's

564
00:25:25,640 --> 00:25:26,600
Speaker 4: not gonna happen like that.

565
00:25:26,800 --> 00:25:28,960
Speaker 5: Okay, Well look that video though, with the cow and

566
00:25:29,400 --> 00:25:30,440
Speaker 5: the tool brush is not a.

567
00:25:30,560 --> 00:25:32,720
Speaker 1: How many hundreds of times did you watch that rhino video?

568
00:25:33,080 --> 00:25:35,199
Speaker 5: I just watched this one like five times and I

569
00:25:35,200 --> 00:25:38,359
Speaker 5: didn't know. I'm like this a I so starting to

570
00:25:38,400 --> 00:25:40,200
Speaker 5: get me now where.

571
00:25:40,080 --> 00:25:43,040
Speaker 3: The cheetah took out an umbrella that said yikes.

572
00:25:44,400 --> 00:25:46,920
Speaker 5: So yeah it was was that a hippo was a

573
00:25:47,640 --> 00:25:50,200
Speaker 5: cheata biting the butt of a hippo with the hippo

574
00:25:50,240 --> 00:25:51,359
Speaker 5: retaliates with its.

575
00:25:51,280 --> 00:25:55,760
Speaker 2: Butt, Yeah, spraying everything spray a lot, so it could be.

576
00:25:56,560 --> 00:25:58,840
Speaker 5: So I've been trying to buddy, but like this whole time,

577
00:25:58,840 --> 00:26:01,000
Speaker 5: I'm sorry, you guys have been talking about sports and whatnot,

578
00:26:01,000 --> 00:26:04,280
Speaker 5: and I'm really sorry. I've been like researching hippo butts

579
00:26:04,280 --> 00:26:05,440
Speaker 5: to see what they can do.

580
00:26:05,960 --> 00:26:07,120
Speaker 2: And I the.

581
00:26:07,080 --> 00:26:09,119
Speaker 5: Closest thing I could come across, because did they trained

582
00:26:09,119 --> 00:26:10,280
Speaker 5: an AI model of.

583
00:26:10,280 --> 00:26:11,600
Speaker 11: An exploding hippo butt?

584
00:26:11,600 --> 00:26:13,879
Speaker 5: Because the only other thing I found was the awful video,

585
00:26:14,119 --> 00:26:17,200
Speaker 5: which is thirteen years old, of a hippo well fling

586
00:26:17,200 --> 00:26:19,760
Speaker 5: it they can use their tail.

587
00:26:20,160 --> 00:26:22,720
Speaker 1: Yeah, there's a bunch of like a like a doodo copter. Yeah,

588
00:26:22,760 --> 00:26:25,560
Speaker 1: oh yeah, yeah, yeah, there's a bunch of zoo videos

589
00:26:25,600 --> 00:26:27,760
Speaker 1: like that that they didn't know that.

590
00:26:28,680 --> 00:26:30,399
Speaker 2: You're right, you can't tell them now, especially with the

591
00:26:30,440 --> 00:26:32,199
Speaker 2: animal stuff, you can't tell if it's real or not.

592
00:26:32,240 --> 00:26:35,480
Speaker 2: There was one of a rhino and some little animal

593
00:26:35,600 --> 00:26:38,200
Speaker 2: was like hitting the head with the rhino and I'm like, man,

594
00:26:38,320 --> 00:26:41,320
Speaker 2: that look that can't be real. So you break up

595
00:26:41,359 --> 00:26:43,120
Speaker 2: a good point. That's why you were an attorney.

596
00:26:43,160 --> 00:26:45,879
Speaker 9: Did you see the one with the yetti? Uh he

597
00:26:45,960 --> 00:26:47,920
Speaker 9: was talking to the camera and he was he was

598
00:26:47,960 --> 00:26:52,800
Speaker 9: cooking over a fire. You know, it's amazing to me,

599
00:26:53,040 --> 00:26:55,479
Speaker 9: just before you clearly get off the AI conversation, how

600
00:26:55,560 --> 00:26:59,359
Speaker 9: much energy we're spending creating these funny videos. Yeah, we

601
00:26:59,400 --> 00:27:02,600
Speaker 9: are burning forests to create these funny videos.

602
00:27:02,600 --> 00:27:04,600
Speaker 2: When you say that, what does that mean, because don't understand.

603
00:27:04,280 --> 00:27:04,640
Speaker 1: What that means.

604
00:27:04,680 --> 00:27:07,920
Speaker 9: Like these the computers and the chips that we're using

605
00:27:07,960 --> 00:27:11,640
Speaker 9: to create AI and create these videos consumes.

606
00:27:11,200 --> 00:27:14,879
Speaker 1: So much energy that uh, you know your carbon prints.

607
00:27:15,240 --> 00:27:17,840
Speaker 9: Yeah, like like I forgot what it was, but it's

608
00:27:17,840 --> 00:27:22,120
Speaker 9: like running like a passenger bus all day twenty four

609
00:27:22,160 --> 00:27:22,600
Speaker 9: to seven.

610
00:27:22,760 --> 00:27:25,320
Speaker 1: Yeah, for like a three minute video. Oh wow, So

611
00:27:25,480 --> 00:27:26,440
Speaker 1: check it out a lot.

612
00:27:26,480 --> 00:27:28,960
Speaker 4: So we're talking about like these server farms, and so

613
00:27:29,000 --> 00:27:31,400
Speaker 4: when you're using AI to create any of this stuff

614
00:27:31,440 --> 00:27:34,840
Speaker 4: for us, all that information there, it's generating a massive

615
00:27:34,880 --> 00:27:38,359
Speaker 4: amounts of temperature, right, and like this is cool. Just

616
00:27:38,400 --> 00:27:41,040
Speaker 4: this past year, I think it was the city of

617
00:27:41,040 --> 00:27:43,359
Speaker 4: New York or some one of these places. Yeah, used

618
00:27:43,440 --> 00:27:47,080
Speaker 4: more water to cool off server farms because of making

619
00:27:47,359 --> 00:27:50,680
Speaker 4: silly videos like this than was actually consumed by humans.

620
00:27:50,800 --> 00:27:53,400
Speaker 3: Oh wow, Yeah they had. When when bitcoin was really

621
00:27:53,400 --> 00:27:55,439
Speaker 3: catching fire about three or four years ago, Yeah, I

622
00:27:55,440 --> 00:27:57,840
Speaker 3: mean it was, but anyway, it was catching fire because

623
00:27:58,160 --> 00:27:59,919
Speaker 3: Leon Musk said that he was going to use let

624
00:28:00,320 --> 00:28:01,119
Speaker 3: use bitcoin for.

625
00:28:01,160 --> 00:28:02,600
Speaker 1: His tessela I'm Leon.

626
00:28:05,240 --> 00:28:08,399
Speaker 3: So anyway, he did it, and the place jumped up

627
00:28:08,440 --> 00:28:09,840
Speaker 3: till like fifty five in two days.

628
00:28:09,920 --> 00:28:10,280
Speaker 1: I wish.

629
00:28:10,400 --> 00:28:12,760
Speaker 3: Yeah yeah. And then two weeks later he goes, no, no,

630
00:28:12,920 --> 00:28:15,960
Speaker 3: I said, they're using too much electricity, the carbon footprint

631
00:28:16,000 --> 00:28:18,160
Speaker 3: and everything. It's horrible for the environment. And it went

632
00:28:18,200 --> 00:28:21,480
Speaker 3: down to twenty and I said, shut up. Leon got

633
00:28:21,520 --> 00:28:22,160
Speaker 3: money in this.

634
00:28:22,160 --> 00:28:26,000
Speaker 5: Yeah, Leon, all the energy the thing yet and the

635
00:28:26,040 --> 00:28:28,360
Speaker 5: companies are realizing like that none of them have made

636
00:28:28,400 --> 00:28:29,359
Speaker 5: a profit from AI.

637
00:28:29,520 --> 00:28:30,400
Speaker 1: Yes, yes at all.

638
00:28:30,720 --> 00:28:33,120
Speaker 5: Yes, and there's no, there's not really indication that they're

639
00:28:33,119 --> 00:28:38,080
Speaker 5: gonna like I do that. I think I think the

640
00:28:38,080 --> 00:28:40,040
Speaker 5: the ll they've pushed the ll ms as.

641
00:28:39,880 --> 00:28:40,760
Speaker 1: Far as they can go.

642
00:28:41,040 --> 00:28:44,480
Speaker 5: Nope, they have though there's I'm telling you that they

643
00:28:44,480 --> 00:28:47,960
Speaker 5: have and they and there's no benefit to it after

644
00:28:48,000 --> 00:28:51,160
Speaker 5: a certain point. So unless a new AI technology comes

645
00:28:51,160 --> 00:28:53,120
Speaker 5: out is crazy. But like right now, I've tried to

646
00:28:53,640 --> 00:28:55,240
Speaker 5: I'm trying to add in stuff to my computer and

647
00:28:55,280 --> 00:28:58,800
Speaker 5: the price of RAM has gone through the goddamn.

648
00:28:58,480 --> 00:29:01,080
Speaker 11: Yeah, the graphics chips all out.

649
00:29:02,040 --> 00:29:05,600
Speaker 5: But like we thought we had, you know, global superiority

650
00:29:05,640 --> 00:29:07,520
Speaker 5: on this because we're like, oh, we have the video,

651
00:29:07,600 --> 00:29:08,800
Speaker 5: we have the we have the grabs card.

652
00:29:08,880 --> 00:29:09,920
Speaker 1: China doesn't know how to do it.

653
00:29:10,000 --> 00:29:12,120
Speaker 5: Well, China just recently came out and they're like, oh,

654
00:29:12,160 --> 00:29:14,720
Speaker 5: by the way, uh, we stole all this like Dutch

655
00:29:14,760 --> 00:29:17,480
Speaker 5: technology and we can now build it all ourselves.

656
00:29:17,720 --> 00:29:18,280
Speaker 1: Screw you.

657
00:29:18,320 --> 00:29:19,040
Speaker 11: So it's going to be.

658
00:29:19,000 --> 00:29:21,080
Speaker 9: An extraor to Taiwan, where you know a lot of

659
00:29:21,120 --> 00:29:22,560
Speaker 9: these materials are Yeah, yeah, it's.

660
00:29:22,600 --> 00:29:24,120
Speaker 11: It's gonna be a weird world. But hey, we got

661
00:29:24,240 --> 00:29:25,360
Speaker 11: hippop pooping videos.

662
00:29:25,400 --> 00:29:30,160
Speaker 2: That's what we got something to and we got a

663
00:29:30,160 --> 00:29:36,240
Speaker 2: cow using a stick for the tiller utters. But so, Ray,

664
00:29:36,600 --> 00:29:38,080
Speaker 2: I wanted to ask this question while you were in

665
00:29:38,080 --> 00:29:41,840
Speaker 2: here because you the cow. You deal in situations with

666
00:29:41,920 --> 00:29:44,040
Speaker 2: the heart, you know, like all the time being a

667
00:29:44,080 --> 00:29:47,200
Speaker 2: divorce attorney. And and I want to get everybody's take

668
00:29:47,240 --> 00:29:48,920
Speaker 2: on this and find out where you guys are. This

669
00:29:49,000 --> 00:29:51,959
Speaker 2: is a you gov poll, you being a divorce attorney.

670
00:29:52,000 --> 00:29:54,120
Speaker 2: I'm just curious what your what your point of view

671
00:29:54,160 --> 00:29:56,560
Speaker 2: is on this. So I and they asked this question

672
00:29:56,600 --> 00:29:58,280
Speaker 2: to thousands of people and they said, hey, if you

673
00:29:58,440 --> 00:30:02,600
Speaker 2: found out a close friend was cheating, okay, and you're

674
00:30:02,680 --> 00:30:06,400
Speaker 2: friends with both people and the couple, would you tell

675
00:30:06,440 --> 00:30:09,160
Speaker 2: the other? That was the question. And I want you

676
00:30:09,200 --> 00:30:11,400
Speaker 2: to hold on it. I know you've dealt with a

677
00:30:11,400 --> 00:30:14,360
Speaker 2: lot of this. I'm curious going around the board. I

678
00:30:14,400 --> 00:30:16,360
Speaker 2: know what Jeff's going to say. I think I know

679
00:30:16,440 --> 00:30:18,120
Speaker 2: what Ryan's gonna say. I think okay, I think I

680
00:30:18,160 --> 00:30:20,320
Speaker 2: know what everyone's gonna say. But let's see if I'm right. So, Joe,

681
00:30:20,320 --> 00:30:23,040
Speaker 2: Howe you find I don't even know why I'm asking this.

682
00:30:23,680 --> 00:30:26,240
Speaker 2: So you find out, you know two friends of yours

683
00:30:26,400 --> 00:30:28,040
Speaker 2: and you find one of them is cheating, but you

684
00:30:28,240 --> 00:30:30,080
Speaker 2: and you know both people.

685
00:30:30,240 --> 00:30:34,000
Speaker 1: Are you going to tell? Are you going to tell anybody?

686
00:30:34,760 --> 00:30:35,560
Speaker 3: Tell anybody?

687
00:30:35,680 --> 00:30:37,040
Speaker 1: You tell the guy?

688
00:30:37,240 --> 00:30:37,720
Speaker 3: No?

689
00:30:37,720 --> 00:30:38,640
Speaker 1: No, You're a no god.

690
00:30:38,840 --> 00:30:40,000
Speaker 3: Okay, absolute no one.

691
00:30:40,120 --> 00:30:43,840
Speaker 7: Now, Okay, girl cheating, you're not going to tell the guy.

692
00:30:44,440 --> 00:30:46,000
Speaker 7: If you see the guy cheating, you're not going to

693
00:30:46,040 --> 00:30:46,480
Speaker 7: tell the girl.

694
00:30:46,760 --> 00:30:49,560
Speaker 3: I'm not telling anybody. I might want to cheat you

695
00:30:49,640 --> 00:30:50,000
Speaker 3: her too.

696
00:30:52,240 --> 00:30:54,280
Speaker 11: She's obviously very open to the idea.

697
00:30:54,440 --> 00:30:57,040
Speaker 2: Okay, Okay, So that's how you feel. How do you

698
00:30:57,040 --> 00:30:58,520
Speaker 2: think America voted?

699
00:30:59,280 --> 00:31:03,000
Speaker 3: Or I would think most I would say most Americans

700
00:31:03,040 --> 00:31:05,880
Speaker 3: would feel like they have an obligation.

701
00:31:06,280 --> 00:31:09,040
Speaker 1: Okay, right, where do you following this you gove poll?

702
00:31:10,360 --> 00:31:12,640
Speaker 5: At this point in my life, I won't say anything, oh,

703
00:31:13,160 --> 00:31:16,080
Speaker 5: because I've done that before where I found out somebody

704
00:31:16,120 --> 00:31:18,760
Speaker 5: was cheating and I wasn't gonna say anything. But I'm

705
00:31:18,840 --> 00:31:21,840
Speaker 5: very bad at keeping a secret, right, And so I

706
00:31:21,880 --> 00:31:24,600
Speaker 5: got drunk one time and then I was like, I

707
00:31:24,640 --> 00:31:26,800
Speaker 5: was like cornered by somebody, and I was like, I

708
00:31:26,800 --> 00:31:28,360
Speaker 5: don't know, here's just what I know.

709
00:31:28,640 --> 00:31:31,800
Speaker 1: And then then everybody got mad at me. Yeah because

710
00:31:31,800 --> 00:31:33,160
Speaker 1: you said something, oh yeah, And.

711
00:31:33,120 --> 00:31:37,200
Speaker 5: I'm like, Okay, so I've learned no good deed goes unpunished,

712
00:31:37,200 --> 00:31:39,320
Speaker 5: so I would just shut the hell up every single time.

713
00:31:39,360 --> 00:31:41,200
Speaker 2: How do you think, unless it's a direct family member

714
00:31:41,280 --> 00:31:42,960
Speaker 2: and that's for you personally, how do you think most

715
00:31:42,960 --> 00:31:45,120
Speaker 2: Americans voted in this you Gove poll?

716
00:31:45,680 --> 00:31:47,840
Speaker 5: I think I think most people like to pretend that

717
00:31:47,840 --> 00:31:49,040
Speaker 5: they're good people, but they're not.

718
00:31:49,120 --> 00:31:51,560
Speaker 1: Gotcha, I'm gonna go with yeah, they they would tell

719
00:31:51,600 --> 00:31:51,760
Speaker 1: on me.

720
00:31:51,840 --> 00:31:54,000
Speaker 2: So you and Jeff are the same angel, What do

721
00:31:54,000 --> 00:31:56,320
Speaker 2: you think you find out a couple you like them both?

722
00:31:56,560 --> 00:31:58,520
Speaker 2: Do you tell anyone that they're cheating?

723
00:31:59,800 --> 00:32:00,920
Speaker 1: How good of friends I am?

724
00:32:01,040 --> 00:32:01,200
Speaker 4: Am?

725
00:32:01,200 --> 00:32:02,000
Speaker 1: I with these people?

726
00:32:02,320 --> 00:32:04,960
Speaker 2: Doesn't say it just says if you thought that, it

727
00:32:05,000 --> 00:32:08,080
Speaker 2: says close friend was cheating, and I'm friends with both

728
00:32:08,120 --> 00:32:10,880
Speaker 2: people in the couple, would you tell the other person?

729
00:32:11,120 --> 00:32:14,520
Speaker 4: Because instantly in this scenario, I think of some of

730
00:32:14,520 --> 00:32:17,040
Speaker 4: my best friends and they've been married for twenty some

731
00:32:17,120 --> 00:32:20,480
Speaker 4: odd years, and if I was to ever see either

732
00:32:20,520 --> 00:32:23,160
Speaker 4: one of them, yeah, I think I would be so

733
00:32:23,360 --> 00:32:27,120
Speaker 4: heartbroken because they to me, they're the benchmark, right and

734
00:32:27,240 --> 00:32:27,640
Speaker 4: so that.

735
00:32:29,840 --> 00:32:31,680
Speaker 1: Man, it's what.

736
00:32:31,680 --> 00:32:33,840
Speaker 2: If you're closer with the guy and not like you

737
00:32:33,880 --> 00:32:36,240
Speaker 2: love them both, but they're he's your boy.

738
00:32:36,680 --> 00:32:39,480
Speaker 4: Well okay, so the full transparency who I'm thinking about

739
00:32:39,560 --> 00:32:42,240
Speaker 4: is Pedro and Lisa, that they've been married.

740
00:32:42,240 --> 00:32:42,920
Speaker 1: That that couple.

741
00:32:42,960 --> 00:32:45,640
Speaker 4: To me, they are the most amazing couple and uh

742
00:32:46,440 --> 00:32:48,760
Speaker 4: and so so like if I was out there and

743
00:32:48,800 --> 00:32:52,000
Speaker 4: I caught Pedro out there, he knows I would whoop

744
00:32:52,040 --> 00:32:52,720
Speaker 4: his ass.

745
00:32:52,520 --> 00:32:54,400
Speaker 2: But I mean, would you tell but that's the mention,

746
00:32:54,520 --> 00:32:55,960
Speaker 2: would you tell his his wife?

747
00:32:56,200 --> 00:32:58,960
Speaker 1: Man? Yeah, that's tough, right man.

748
00:32:59,000 --> 00:33:01,560
Speaker 5: I can't be friends with you anymore though I'll tell

749
00:33:01,560 --> 00:33:05,040
Speaker 5: you that. I won't say anything, but now we're not friends.

750
00:33:05,000 --> 00:33:07,960
Speaker 4: Because so in the well to that point, I've also

751
00:33:08,040 --> 00:33:10,680
Speaker 4: had another extreme of that where again one of my

752
00:33:11,000 --> 00:33:14,000
Speaker 4: real super close friends, and he put me in a

753
00:33:14,040 --> 00:33:17,520
Speaker 4: tough spot. Yeah, and uh, and I got and I

754
00:33:17,680 --> 00:33:20,960
Speaker 4: was judged by his behavior right right. And the person

755
00:33:21,080 --> 00:33:22,880
Speaker 4: was like, oh, so you're hanging out with this dude,

756
00:33:22,960 --> 00:33:24,440
Speaker 4: so that means that you were down with that kind

757
00:33:24,480 --> 00:33:24,880
Speaker 4: of stuff.

758
00:33:24,960 --> 00:33:26,400
Speaker 2: So I know you're trying to work this out in

759
00:33:26,440 --> 00:33:28,160
Speaker 2: your head.

760
00:33:29,120 --> 00:33:30,520
Speaker 1: Five seconds, I think I would.

761
00:33:32,640 --> 00:33:35,920
Speaker 4: I would like to think that I would do the

762
00:33:35,960 --> 00:33:39,440
Speaker 4: prudent thing and let his wife know.

763
00:33:38,960 --> 00:33:40,880
Speaker 2: You Okay, And then how do you think most of

764
00:33:40,920 --> 00:33:41,680
Speaker 2: America voted on.

765
00:33:41,800 --> 00:33:45,600
Speaker 4: I think most Americans, most people said that they would

766
00:33:45,600 --> 00:33:46,840
Speaker 4: not They wouldn't mind their own business.

767
00:33:46,840 --> 00:33:51,240
Speaker 2: Okay, Angelie, a couple you like them both, it's alone's cheating.

768
00:33:51,280 --> 00:33:52,440
Speaker 1: Do you tell the person?

769
00:33:52,760 --> 00:33:55,640
Speaker 7: I would one talk to the person that was cheating

770
00:33:56,400 --> 00:33:59,640
Speaker 7: about their indiscretion, And I think I would a roundabout

771
00:33:59,720 --> 00:34:00,720
Speaker 7: way tell the person.

772
00:34:00,800 --> 00:34:01,680
Speaker 6: I don't think I would.

773
00:34:01,760 --> 00:34:03,880
Speaker 7: I don't think I would directly say, hey, listen, I

774
00:34:03,880 --> 00:34:06,320
Speaker 7: saw him the other day and whatever. I think that

775
00:34:06,960 --> 00:34:09,720
Speaker 7: I would make it so I didn't have to say anything,

776
00:34:10,480 --> 00:34:13,120
Speaker 7: but I would be leading the horse to watch she tell.

777
00:34:12,960 --> 00:34:14,360
Speaker 1: Her like, hey, go check his DM.

778
00:34:15,719 --> 00:34:19,040
Speaker 7: No no, no, no, but but in a more discreet way.

779
00:34:19,080 --> 00:34:22,000
Speaker 7: And I think America at this point, I think back

780
00:34:22,000 --> 00:34:23,320
Speaker 7: in the day, they would have said something.

781
00:34:23,320 --> 00:34:24,799
Speaker 6: I think at this point they stay out of it.

782
00:34:25,200 --> 00:34:27,240
Speaker 2: Amber Noova, what do you think you find out a couple,

783
00:34:27,480 --> 00:34:29,839
Speaker 2: there's a couple, you like them both, you know one

784
00:34:29,840 --> 00:34:30,000
Speaker 2: of them?

785
00:34:30,080 --> 00:34:32,520
Speaker 1: She didn't be you tell the person? It depends how

786
00:34:32,600 --> 00:34:33,359
Speaker 1: well I know them?

787
00:34:33,520 --> 00:34:36,480
Speaker 2: Are they just like casual friends that I bump into

788
00:34:36,600 --> 00:34:38,799
Speaker 2: that I know, Like, how well do I really know them?

789
00:34:39,000 --> 00:34:39,400
Speaker 1: Yeah?

790
00:34:39,680 --> 00:34:43,040
Speaker 3: Okay, let's say you It says close friend you know

791
00:34:43,200 --> 00:34:44,320
Speaker 3: really well close friend.

792
00:34:44,760 --> 00:34:48,680
Speaker 1: I'm close friends with the girl and the guy. Yeah. Yeah,

793
00:34:48,760 --> 00:34:53,080
Speaker 1: I would probably talk to either one of them and

794
00:34:53,120 --> 00:34:55,840
Speaker 1: be like, you know, so would you tell or not?

795
00:34:56,760 --> 00:34:57,960
Speaker 2: I'd be like, you need to tell.

796
00:34:57,800 --> 00:34:59,560
Speaker 6: Them or someone else is gonna end up telling them,

797
00:34:59,680 --> 00:35:00,680
Speaker 6: So you okay?

798
00:35:00,680 --> 00:35:04,680
Speaker 5: But the choice the question is would you?

799
00:35:04,960 --> 00:35:06,840
Speaker 2: So what you're doing is you're talking to the person cheating,

800
00:35:07,040 --> 00:35:09,440
Speaker 2: would you? The question is would you tell the other person?

801
00:35:09,480 --> 00:35:11,040
Speaker 2: Would you be the one breaking the news?

802
00:35:12,440 --> 00:35:13,440
Speaker 6: I'd rather not?

803
00:35:13,600 --> 00:35:14,720
Speaker 1: Okay? You say no? Okay?

804
00:35:14,719 --> 00:35:17,839
Speaker 2: And then so Ray Tranly, you're in the divorce business, yes, sir?

805
00:35:18,280 --> 00:35:21,239
Speaker 2: How how often does this happen? Where I found out

806
00:35:21,239 --> 00:35:23,960
Speaker 2: because my friend it's told? And then where do you

807
00:35:24,000 --> 00:35:24,480
Speaker 2: follow on this?

808
00:35:24,680 --> 00:35:24,839
Speaker 1: Oh?

809
00:35:25,040 --> 00:35:26,920
Speaker 11: I just had a conversation with somebody yesterday.

810
00:35:27,480 --> 00:35:27,600
Speaker 1: You know.

811
00:35:27,680 --> 00:35:30,480
Speaker 9: He's like, hey, uh, I've got a new roommate and

812
00:35:30,520 --> 00:35:32,799
Speaker 9: it was a lady and I was like, oh, you know,

813
00:35:32,840 --> 00:35:34,200
Speaker 9: you got the hell You guys been friends, you know

814
00:35:34,239 --> 00:35:36,800
Speaker 9: a couple of weeks and I was like, oh, okay,

815
00:35:36,880 --> 00:35:38,840
Speaker 9: Like is she she okay to be around the kids?

816
00:35:38,840 --> 00:35:40,480
Speaker 9: He's like, oh yeah probably.

817
00:35:40,719 --> 00:35:42,279
Speaker 11: I was like, hell, are you been dating her? And

818
00:35:42,320 --> 00:35:43,440
Speaker 11: he's like, how.

819
00:35:43,280 --> 00:35:46,239
Speaker 9: Did you know, And I was like, what do you mean,

820
00:35:46,239 --> 00:35:48,040
Speaker 9: how did I know you moved some girl in right

821
00:35:48,080 --> 00:35:50,920
Speaker 9: after your wife moves out? Anyway, So I had the

822
00:35:50,960 --> 00:35:52,600
Speaker 9: conversation with him. I was like, do you have any

823
00:35:52,600 --> 00:35:54,799
Speaker 9: pictures on Facebook? He was like, oh, well, my my

824
00:35:54,800 --> 00:35:56,920
Speaker 9: wife and aren't friends on Facebook anymore. I was like,

825
00:35:56,960 --> 00:35:58,560
Speaker 9: that's not the question. I asked you right to have

826
00:35:58,600 --> 00:36:01,359
Speaker 9: any pictures on Facebook. He's like, yeah, one or two,

827
00:36:01,560 --> 00:36:04,279
Speaker 9: but like we're just friends. And I said, yeah, you

828
00:36:04,320 --> 00:36:06,239
Speaker 9: don't think that somebody in your circle is going to

829
00:36:06,320 --> 00:36:09,200
Speaker 9: immediately feed that information to your wife. I was like,

830
00:36:09,239 --> 00:36:11,799
Speaker 9: if you want to, you know, create a bonfire over here,

831
00:36:11,880 --> 00:36:13,000
Speaker 9: just keep posting pictures.

832
00:36:12,719 --> 00:36:14,720
Speaker 1: Coming on right right, right right, are dumb?

833
00:36:14,880 --> 00:36:16,759
Speaker 9: So So I had this conversation with people all the

834
00:36:16,800 --> 00:36:20,719
Speaker 9: time because it happens all the time. And I will say,

835
00:36:20,760 --> 00:36:23,400
Speaker 9: I've got a Ryan's story. I've been in that place.

836
00:36:23,920 --> 00:36:26,440
Speaker 9: I've told the person you need to tell and it

837
00:36:26,520 --> 00:36:27,520
Speaker 9: backfired majorly.

838
00:36:28,719 --> 00:36:28,919
Speaker 1: Thing.

839
00:36:29,480 --> 00:36:32,360
Speaker 9: So I am a like, I didn't see nothing. What

840
00:36:32,440 --> 00:36:34,000
Speaker 9: do you mean there was a dead body. I didn't

841
00:36:34,000 --> 00:36:34,680
Speaker 9: see nothing.

842
00:36:34,920 --> 00:36:39,520
Speaker 1: I don't say anything. Stay out of it, dude, don't

843
00:36:39,800 --> 00:36:40,000
Speaker 1: you know.

844
00:36:40,040 --> 00:36:42,600
Speaker 4: With your even with the even with your good friend, though,

845
00:36:43,239 --> 00:36:44,359
Speaker 4: I said, especially with him.

846
00:36:46,280 --> 00:36:49,280
Speaker 1: If there was any of my guys, it was it's Pedro.

847
00:36:49,600 --> 00:36:52,040
Speaker 11: It's remember.

848
00:36:52,560 --> 00:36:53,600
Speaker 1: Yeah, I would.

849
00:36:53,760 --> 00:36:59,640
Speaker 7: Say, of your nieces and you see her guy cheating

850
00:36:59,680 --> 00:37:01,759
Speaker 7: on her, you're not going to tell your niece.

851
00:37:01,560 --> 00:37:03,680
Speaker 6: You fight her guy and doing something?

852
00:37:03,800 --> 00:37:05,799
Speaker 11: You fight him, but without not know what I mean?

853
00:37:05,920 --> 00:37:11,080
Speaker 5: Yeah, but nothing without having like a black guy. So

854
00:37:11,200 --> 00:37:14,000
Speaker 5: here's what America said, okaya.

855
00:37:14,719 --> 00:37:17,600
Speaker 2: Twenty six percent said that they're not sure what they

856
00:37:17,600 --> 00:37:21,279
Speaker 2: would do, like they don't, they don't know, and then

857
00:37:21,400 --> 00:37:25,319
Speaker 2: it is tied. Thirty seven percent said they agreed they

858
00:37:25,320 --> 00:37:28,480
Speaker 2: would say something, and then thirty seven percent said no,

859
00:37:28,600 --> 00:37:29,439
Speaker 2: I'm not saying nothing.

860
00:37:29,480 --> 00:37:31,800
Speaker 1: So it was right there on the cuffs.

861
00:37:31,840 --> 00:37:34,920
Speaker 3: Yes, yeah, right right now. I know you you wouldn't

862
00:37:34,960 --> 00:37:37,759
Speaker 3: do that. Sure, but are there people in your profession

863
00:37:38,080 --> 00:37:41,080
Speaker 3: that will go up to good couples and go, hey, Susan,

864
00:37:41,239 --> 00:37:43,480
Speaker 3: you know Frank's cheating one. You'll never admit it, you know,

865
00:37:43,560 --> 00:37:45,520
Speaker 3: cheating ONID and then get them fighting and then they

866
00:37:45,600 --> 00:37:47,320
Speaker 3: divorce and then you get the commission.

867
00:37:47,520 --> 00:37:50,080
Speaker 9: Well wow, so I will say so to that point,

868
00:37:50,280 --> 00:37:52,120
Speaker 9: I met with somebody not too long ago, and I

869
00:37:52,160 --> 00:37:54,640
Speaker 9: know the lawyer who they were working with before they're

870
00:37:54,680 --> 00:37:56,759
Speaker 9: like my lawyer told me. And I was like, listen, man,

871
00:37:56,840 --> 00:37:58,399
Speaker 9: like I don't have all the facts, but the way

872
00:37:58,440 --> 00:38:00,440
Speaker 9: you're describing to me, here's how I see it.

873
00:38:00,520 --> 00:38:02,440
Speaker 1: He's like, oh, that makes perfect sense to that. I

874
00:38:02,440 --> 00:38:02,719
Speaker 1: called you.

875
00:38:03,000 --> 00:38:04,640
Speaker 9: He hires me, and I call the other lawyer and

876
00:38:04,680 --> 00:38:06,120
Speaker 9: I'm like, hey, man, just just feel me, like what

877
00:38:06,200 --> 00:38:08,799
Speaker 9: am I missing? And he's like, well so, and he

878
00:38:08,800 --> 00:38:11,719
Speaker 9: tells me all this backstory. I'm like, yeah, like this

879
00:38:11,760 --> 00:38:14,480
Speaker 9: other lawyer was firing this person up or like you know,

880
00:38:15,320 --> 00:38:18,200
Speaker 9: you know, they're they're taking money, they're cheating. And I

881
00:38:18,239 --> 00:38:19,800
Speaker 9: was like, he's like, we got the bank sittments, like

882
00:38:19,800 --> 00:38:21,880
Speaker 9: the money is not going anywhere, just you know, she

883
00:38:22,080 --> 00:38:24,359
Speaker 9: was concerned about being broke, so she puts some money

884
00:38:24,360 --> 00:38:27,200
Speaker 9: in a separate account. And but this lawyer was firing

885
00:38:27,200 --> 00:38:30,239
Speaker 9: this guy up and and and it does happen. I

886
00:38:30,280 --> 00:38:32,120
Speaker 9: hate it because it's like I didn't even want to

887
00:38:32,120 --> 00:38:33,760
Speaker 9: talk about it because I feel like it makes lawyers

888
00:38:33,760 --> 00:38:34,640
Speaker 9: look really skeeve.

889
00:38:34,640 --> 00:38:35,680
Speaker 1: We already look skeve.

890
00:38:35,840 --> 00:38:37,840
Speaker 3: Oh, y'all have great repute.

891
00:38:37,960 --> 00:38:43,440
Speaker 9: Yeah you haven't heard those rumors.

892
00:38:43,280 --> 00:38:45,160
Speaker 1: That's pretty good. But I hate it.

893
00:38:45,239 --> 00:38:47,640
Speaker 9: But like, it does happen, and I think a lot

894
00:38:47,680 --> 00:38:49,920
Speaker 9: of people have good intentions, like you know, just like

895
00:38:50,000 --> 00:38:52,000
Speaker 9: Ryan's story and like my story, like you want to

896
00:38:52,000 --> 00:38:54,120
Speaker 9: help solve the problem, like you want to help your friend,

897
00:38:54,560 --> 00:38:55,760
Speaker 9: but at the same time.

898
00:38:55,600 --> 00:38:57,120
Speaker 1: You can all.

899
00:38:57,480 --> 00:39:01,239
Speaker 3: The thing I think everybody's running you here is that

900
00:39:01,560 --> 00:39:03,520
Speaker 3: if you if you break that couple, or you do

901
00:39:03,600 --> 00:39:07,400
Speaker 3: something that aggravates the you alienate the other the person,

902
00:39:07,880 --> 00:39:09,799
Speaker 3: and then all of a sudden, the guy goes, well,

903
00:39:09,800 --> 00:39:12,399
Speaker 3: I want her back. You can't be their free.

904
00:39:12,520 --> 00:39:15,279
Speaker 1: That's exactly what happens. Exactly what happens at that point.

905
00:39:15,360 --> 00:39:16,080
Speaker 1: You just move on.

906
00:39:16,160 --> 00:39:18,959
Speaker 4: Then you know that there there again, that's the that's

907
00:39:19,000 --> 00:39:21,959
Speaker 4: the line, that's the threshold. All right, I did my part.

908
00:39:22,239 --> 00:39:24,960
Speaker 4: You can walk around with a clear conscious. Whatever happened,

909
00:39:24,960 --> 00:39:27,440
Speaker 4: don't forget. Yeah, well no, no, whatever happens after that,

910
00:39:27,440 --> 00:39:30,120
Speaker 4: that's on them. You just know now to protect yourself

911
00:39:30,120 --> 00:39:31,000
Speaker 4: from them as friends.

912
00:39:31,239 --> 00:39:33,080
Speaker 7: Listen, one of the funniest things I have to say

913
00:39:33,160 --> 00:39:36,959
Speaker 7: is after my divorce, the guys in this room then said, hey,

914
00:39:37,120 --> 00:39:39,399
Speaker 7: are you sure you're sure you're done?

915
00:39:39,760 --> 00:39:41,640
Speaker 6: All right, We're going to talk to you now.

916
00:39:41,480 --> 00:39:43,960
Speaker 7: Now I get to hear exactly what you guys.

917
00:39:44,480 --> 00:39:47,719
Speaker 2: Wait, we waited because waited, because I know what it's

918
00:39:47,760 --> 00:39:50,680
Speaker 2: like to start to you start talking to just so

919
00:39:50,800 --> 00:39:56,880
Speaker 2: you know you're yeah together, and then you look, we

920
00:39:56,880 --> 00:39:58,319
Speaker 2: got to take a break. We come back. We got

921
00:39:58,400 --> 00:40:01,360
Speaker 2: more with Friendly. By the way, if you need to

922
00:40:01,400 --> 00:40:04,640
Speaker 2: get hold of Friendly Ray Friendly, it's Tklaw, One Firm

923
00:40:04,719 --> 00:40:06,879
Speaker 2: Forlife dot com. That's one Firm for Life dot com.

924
00:40:06,880 --> 00:40:09,080
Speaker 2: More fun divorce stories when we come back.

925
00:40:09,200 --> 00:40:11,080
Speaker 1: Don't go anywhere. You're listening to the mantras of the

926
00:40:11,080 --> 00:40:11,360
Speaker 1: Morning