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Speaker 1: Wake Up, Wake Up in.

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Speaker 2: The mall.

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Speaker 1: And it's a radio and the doctors. He's on time.

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Speaker 3: Already and his lunchbox.

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Speaker 1: More game too, steve Red and it's trying to put

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Speaker 1: you through the fog. He's running this week's next week.

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Speaker 1: The Bobby's on the box, so you know what this this.

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Speaker 4: The Bobby Ball.

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Speaker 1: Time for the Morning Corny, The Morning Corny.

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Speaker 5: Why did the windows all go to the doctor? They

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Speaker 5: had a lot of pains?

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Speaker 1: Okay, that was the Morning Corny. You did it in

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Speaker 1: character too, Thank you. Pins. Tuesday Reviews Day, what'd you finish?

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Speaker 1: We finished the audio Murders on Netflix. Anybody else watched this?

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Speaker 5: Oh okay, I've been reading it as are.

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Speaker 1: Yeah, but it's a different country. It's got two little dots.

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Speaker 1: It's called The r Day Murders. Okay, so it's Swedish.

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Speaker 1: We did English subtitles and made them speak English even

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Speaker 1: though they mouse didn't match. And so it's based on

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Speaker 1: this book. That's all I want to say. It's on Netflix,

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Speaker 1: five episodes only. For the whole thing, I give it

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Speaker 1: three and a half out of five snowfalls. It's a detective.

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Speaker 1: It's like a thriller detective murder type series and it's

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Speaker 1: spelled Ari but it's the Audi Murders, but in the

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Speaker 1: other language it's a one word. So we did that

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Speaker 1: and then we watched and we finished Say Nothing on Hulu,

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Speaker 1: which it was crazy good and it's real life too.

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Speaker 1: This was based on the IRA the Irish Republican Army

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Speaker 1: and how they were fighting to get Northern Ireland back

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Speaker 1: from the British and it was the story of basically

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Speaker 1: these kids that were in the Irish Republican Army. I

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Speaker 1: don't want to say too much about it. You have

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Speaker 1: to put this up. They speak in English, but it's Irish,

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Speaker 1: so you don't know half the craft they're saying, so

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Speaker 1: you have to put the subtitles on to read along.

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Speaker 1: And it's all true. And the story is about Gene mcconmbell,

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Speaker 1: a single mother of ten. The first episode, she's abducted

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Speaker 1: from her home. All her kids are there and the

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Speaker 1: whole time you're trying to figure out what was up

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Speaker 1: while actually learning about the history of that war. It's

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Speaker 1: really good.

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Speaker 5: I made note of that.

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Speaker 1: There are certain things that they say the elicate like

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Speaker 1: I means yeah, oh yeah, I lots of Irish I

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Speaker 1: give it four and a half out of five, four

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Speaker 1: lead clovers.

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Speaker 5: I'm Irish, so.

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Speaker 1: There's not one forty clover in the whole series. And

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Speaker 1: I think it's like nine episodes but irish, but four

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Speaker 1: leaf clovers. I give it four and a half really

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Speaker 1: really great, and then especially when you learn something like

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Speaker 1: that makes it even better. So that's what I got there,

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Speaker 1: Amy Anything chiefs Aholics, Oh you watched it a document

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Speaker 1: and gosh.

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Speaker 5: My homework assignment. And I give it three point five

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Speaker 5: out of five wolves.

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Speaker 1: Oh, this is the documentary on Amazon about the guy

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Speaker 1: who would go to a way Kancity Chief Games. He'd

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Speaker 1: rob banks on the way to fund his lifestyle. Yeah. Crazy.

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Speaker 5: I just felt like in the beginning it was a

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Speaker 5: little bit slow, we could have gotten there, and then

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Speaker 5: I felt like it was really dramatic towards the end.

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Speaker 5: So three point five, I don't want to give anything away.

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Speaker 1: Kind of blew your mind.

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Speaker 5: That was real though, right, Yeah, Like I knew nothing

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Speaker 5: about this, Like if y'all talked about it, I have

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Speaker 5: one to hear out the other because I was just

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Speaker 5: not familiar with the entire story and it is kind

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Speaker 5: of crazy how it all played out.

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Speaker 1: He's a super fan of the Chiefs and wanted to

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Speaker 1: have money, so we'd rob banks on the way to games.

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Speaker 5: And it was bizarre to me, is people were actually online

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Speaker 5: trying to support him.

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Speaker 1: And for another Chiefs fans Chiefs Kingdom and they stick together.

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Speaker 5: Yeah, I know, but I mean, at some point have

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Speaker 5: to realize this has gone too far.

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Speaker 1: Mike d Did you watch the new Marvel movie Have

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Speaker 1: New Captain American movie Brave New World Theater. Yeah, okay, thoughts,

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Speaker 1: I think after thirty five Marvel movies, my expectations they're

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Speaker 1: a little bit higher. It was really average, and it

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Speaker 1: kind of felt like a bait the switch, Like the

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Speaker 1: whole trailer was like him fighting the Red Hole. It's

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Speaker 1: a very little part of the movie. Who's him the

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Speaker 1: New Captain America? Anthony Anthony Mcki? You got it? Morgan,

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Speaker 1: did you watch it too?

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Speaker 2: Yeah?

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Speaker 5: I went to it. I'm opposite. I loved it.

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Speaker 6: I thought it was great, It tied up some loosens it.

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Speaker 6: I feel like it started a new side of the

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Speaker 6: Marvel movies that's coming. And I really like him as

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Speaker 6: the New Captain America.

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Speaker 1: All right, Mike, your review, your you're rating. I give

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Speaker 1: it three out of five shields.

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Speaker 5: Morgan, I give it four out of five pills.

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Speaker 1: Yeah, I don't get any of the references and pills.

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Speaker 1: There's been thirty five movies. Thirty five you've seen them all?

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Speaker 1: Seen them all because you passed ten times? Yeah, multiple times.

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Speaker 1: Which one have you seen the most? Probably Avengers Endgame?

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Speaker 1: I rewatched that one every few months. Wow. Yeah, it

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Speaker 1: isn't that one like three and a half hours. Yeah,

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Speaker 1: but you just put it on, come back to it later,

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Speaker 1: rewatch it all. Right, there you go. Tuesday reviews days.

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Speaker 1: We'll put those up up on bobbybones dot com. The

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Speaker 1: question is if you can steal one skill from any

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Speaker 1: person in the world and you instantly have that skill,

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Speaker 1: whose would you take and why would you take it?

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Speaker 1: You just get to go boom. I'll take John Mayer's

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Speaker 1: guitar playing skills. I'm not selecting that, but that can

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Speaker 1: be a thing. It can be a musician if you want,

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Speaker 1: whose do you take? Why do you take it?

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Speaker 5: Amy Adele's voice, because I don't know, it's so beautiful.

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Speaker 1: How would you use that a singer?

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Speaker 5: Obviously I'd be a star.

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Speaker 1: So that to you is the voice?

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Speaker 5: I mean, maybe we've just been listening to a lot

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Speaker 5: of her around the house. My son's sort of obsessed

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Speaker 5: with a del right now. So yeah, she's top of

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Speaker 5: mind for me. And I can't think of anybody that

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Speaker 5: doesn't like Adell's voice.

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Speaker 1: Yeah, I think I would take Steph Curry's shooting skills.

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Speaker 1: I think he's the greatest shooter of all time, and

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Speaker 1: I think he's probably the only player now that has

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Speaker 1: the greatest of all time skill like active player. I

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Speaker 1: think of football like a skill, basketball, Baseball. I mean,

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Speaker 1: I mean Otani, but he's got a couple of skills.

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Speaker 5: Practice like he does, or you just have you just

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Speaker 5: have it.

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Speaker 1: It's just in you cool. So you have Adel's voice,

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Speaker 1: I have Steph shooting skills.

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Speaker 5: You don't even have to practice there.

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Speaker 7: Eddie Elton John's piano skills because people have pianos everywhere right,

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Speaker 7: Like you walk into a house. I can kind of

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Speaker 7: play like chords. I can sing like Long December by

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Speaker 7: counting crows. But to sit down and like just and

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Speaker 7: everyone be like, wow, he's so good. I wouldn't even

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Speaker 7: go professional. I wouldn't go on tour. I would just

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Speaker 7: do it so I can impress people. When to go

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Speaker 7: to their houses.

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Speaker 1: Yeah, until you wanted to make money, then you go

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Speaker 1: on talk. Yeah, you and Amy be torn together, lunchbox man.

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Speaker 2: I would love to have Johnny Banana's Challenge skills, like

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Speaker 2: the way he can navigate a season of the Challenge,

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Speaker 2: Like he can come in as the underdog, have no

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Speaker 2: one on his side, and turn the whole house to

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Speaker 2: where he has protection everywhere and make it all the

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Speaker 2: way to a final. And he's good at all the

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Speaker 2: weird like challenges that they have, the daily challenges, the

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Speaker 2: team challenges. He's great in the final. So I would

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Speaker 2: take his skills on the challenge of every skill of

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Speaker 2: every human that's the one, you think, I love it?

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Speaker 2: What do you mean original?

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Speaker 1: That is huge? I mean, is he the goat of

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Speaker 1: reality shows?

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Speaker 2: I don't even think he's the goat to the challenge man.

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Speaker 1: His favorite? Yeah, No, I mean it's his. I'm totally

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Speaker 1: down Morgan.

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Speaker 6: I think I would go with Meryl Streep's acting skills.

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Speaker 6: I've always wanted to be an actor, and she's so

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Speaker 6: iconic and she's so good at every role she does

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Speaker 6: that being able to like live a day in the

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Speaker 6: life of Meryl Street would be insane.

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Speaker 1: A lot of range. Yeah, she's Johnny Bananas, but a

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Speaker 1: lot of range. Hey, Ray Mundo, whose skill would you steal?

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Speaker 1: Give me Usain bolt speed. Gosh, that's a good one.

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Speaker 1: Just run fastest man in the world. I could use

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Speaker 1: it in the Olympics. And then well he's he's old.

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Speaker 1: If you take it now, he does, he's not to

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Speaker 1: pass men in the world, right, he's retired. Like you

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Speaker 1: don't get them at their prime, you get them right now.

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Speaker 1: But he's still gonna fly. Yeah, that's a five second

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Speaker 1: rush you're not getting with anything else. Yeah, that's true. Abby,

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Speaker 1: What skill would you steal?

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Speaker 5: Keith Urban's guitar playing?

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Speaker 1: You should have said someone's voice. You need someone's voice,

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Speaker 1: you said, Johnny Bananas. How are you judging anybody in

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Speaker 1: this game? But she can play guitar, but she can't sing.

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Speaker 1: It's not gonna help her. She can sing, but good. Well,

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Speaker 1: so you were taking a shot at her voice more

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Speaker 1: than you are her pick. Yeah, okay, got it. Yeah.

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Speaker 1: I was gonna say we're taking shots at picks. We

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Speaker 1: got it. You made it personal. Thank you of course.

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Speaker 1: So your voice, yeah, I could see Urban's playing.

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Speaker 6: You can already sing, right, like I want to well, yeah, okay,

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Speaker 6: ian to sing too really good like guitar playing, because

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Speaker 6: I can only do basics like three chords.

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Speaker 1: So yeah, I didn't understand, but now I get it.

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Speaker 1: One more might d I would take Mark Zuckerberg's programming skills.

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Speaker 1: I studied coding a little bit in college, but I

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Speaker 1: feel if I would have applied myself more, I could

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Speaker 1: have been better at it. So give me his skills. Question.

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Speaker 1: Do you feel like he's still an elite programmer or

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Speaker 1: has he gone so high up that he doesn't have

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Speaker 1: to program anymore?

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Speaker 4: Now?

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Speaker 1: I think nerds like that stay with it. I just

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Speaker 1: think he's still elite. Okay, there you go. The Johnny

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Speaker 1: Bananas one's weird it is that's a weird one because

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Speaker 1: you could have been a millionaire, like a multimillionaire. With

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Speaker 1: the skills, you could have been bezos. He's probably a millionaire.

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Speaker 1: I have no idea. I don't know that if you

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Speaker 1: walked in out, and I mean this in the most

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Speaker 1: complementary way possible, he wouldn't know who I was. I

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Speaker 1: would I don't know. I don't think I know who

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Speaker 1: he is. Man. You would find out real quick. I agree.

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Speaker 2: Let me see jo I'm trying to google net Worth.

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Speaker 2: Let's see, he has to be a millionaire.

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Speaker 5: That's not accurate.

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Speaker 1: We could be a few years out, only a few

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Speaker 1: years out from humanoid robots doing our chores. Now, this

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Speaker 1: is proming gadget. And when Meta gets involved with things,

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Speaker 1: because Meta is Facebook and Instagram, you start to believe

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Speaker 1: there's some reality to it. And so Bloomberg has the

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Speaker 1: list of things they think these robots will be able

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Speaker 1: to do in the next few years, not twenty a

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Speaker 1: few folding laundry, carrying glasses of water, putting dinnerware on

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Speaker 1: the dishwasher, other small home chores. Now, as I read

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Speaker 1: more about it they're working One of the companies they're

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Speaker 1: working with is the company that does that robot dog

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Speaker 1: that already exists, and they use it. It's it doesn't

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Speaker 1: have a dog head, but it has a dog body

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Speaker 1: and is able to move around. And so the fact

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Speaker 1: that they're working with a company that is already doing this,

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Speaker 1: and it's Meta that's doing it, that makes me feel

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Speaker 1: like we're really probably only a few years away from that. Wow,

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Speaker 1: pick one chore the robot could do.

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Speaker 8: I kind of like my.

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Speaker 5: Chores because I'm like, what am I going to do

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Speaker 5: when I need to procrastinate?

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Speaker 1: Like you watch something, you hang out, do more work.

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Speaker 1: I don't know anything chores.

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Speaker 5: Oh I love like when I'm stressed, I love vacuuming

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Speaker 5: and stuff Like, how am I gonna I can't have

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Speaker 5: a robot doing that for me?

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Speaker 1: Wow? You know as soon as robots exist, though, creepy

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Speaker 1: dudes are gonna turn them on.

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Speaker 5: Oh yeah, no they will.

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Speaker 1: They they're gonna start making like robots Like.

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Speaker 5: My ex Husban's company has one of those dog robots

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Speaker 5: and it's so cute, like I when I hung out

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Speaker 5: with it, I was like, I feel bad, Please don't

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Speaker 5: ever rude.

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Speaker 1: It looks like it's dangerous, like it's going to kill you.

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Speaker 5: Yes, but also you're like, oh, look at it. It's

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Speaker 5: sort of cute and it starts walking, and then you

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Speaker 5: associate it since it looks like a dog, that it's

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Speaker 5: a dog, and you don't want it to go into

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Speaker 5: like any dangerous situations.

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Speaker 1: You care for it. You can try to feed it.

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Speaker 1: I know you're hungry.

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Speaker 2: Uh.

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Speaker 1: So we had a guy in earlier left his voice

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Speaker 1: mel and he was like, I want to fly, but

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Speaker 1: I'm scared to fly. I'm trying to get out of

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Speaker 1: this work thing, so you listen to it on the podcast.

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Speaker 1: I read up a bunch of data about plane crashes

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Speaker 1: and car wrecks and all the things that pilots know

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Speaker 1: and secondary things airplanes can do in case there is

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Speaker 1: a crash. I did not bring up the Toronto plane

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Speaker 1: because I don't was that a crash. I feel like

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Speaker 1: it landed him because the it was icy. It's weird. Yeah, no,

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Speaker 1: and nobody died, but it has been a lot of

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Speaker 1: air And also I didn't want to bring up another

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Speaker 1: one because he was already scared. A Delta Airlines flight

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Speaker 1: flipped upside down in Toronto. I can play you this clip.

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Speaker 1: I did not bring this up with them because I

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Speaker 1: don't feel like this was a plane crash. I felt

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Speaker 1: like it was very windy. They had landed and it

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Speaker 1: was icy, and the plane flipped over because of the wind.

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Speaker 1: I feel like, am I cherry picking?

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Speaker 5: Yeah, you're cheir picking, But I think it's okay to

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Speaker 5: not if you have a situation where someone's scared to fly.

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Speaker 5: If you're like, well, guess what this just in from

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Speaker 5: last night?

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Speaker 1: Okay, uh, this is audio from the tower and the

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Speaker 1: pilot to go ahead. We I'm okay, were you able

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Speaker 1: to go to two thousand? We can't give it a

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Speaker 1: try for the weather, like want this airplane is crashing

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Speaker 1: two three.

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Speaker 5: Play a moment. I got no traffic here, so just

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Speaker 5: let me know what you like to do.

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Speaker 1: We just have a crash on thraight here.

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Speaker 9: Yeah, we've got a beercraft.

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Speaker 1: There's up right down and burning. Yeah, they're so calm.

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Speaker 1: Oh yeah, we got a crash here. None of those

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Speaker 1: were the pilots burning. It just says it's the tower

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Speaker 1: and pilot. I don't know if it was the pilot

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Speaker 1: or somebody watched other Yeah, because you're right, they were

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Speaker 1: very calm. That is Coole's cucumber. But we're upside down burn,

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Speaker 1: they're on fire. Yeah, let's know if you can get

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Speaker 1: out here anytime soon. I hear nobody died. So again,

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Speaker 1: when I talked about secondary things that can happen, there

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Speaker 1: are a lot of things that can happen. It doesn't

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Speaker 1: have to be plane hits ground everybody dies, which is

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Speaker 1: what we think because we watch these stupid shows like

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Speaker 1: Manifest where you're on a plane. Next thing you know,

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Speaker 1: you land and it's twenty years later. That's what I

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Speaker 1: worry about. You go over the ocean all a sudden,

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Speaker 1: You're like, you get off the plane and everybody's got

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Speaker 1: gray hair, and you're like, what just happened? New details

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Speaker 1: this morning. This is from UK are in go ahead.

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Speaker 10: This is now the fourth major aviation accident in North

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Speaker 10: America in just the past three weeks. All eighty people

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Speaker 10: on board survived after the jet flipped on its roof

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Speaker 10: while landing at Toronto's pearson At Airport yesterday.

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Speaker 5: Snow was being blown at the.

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Speaker 10: Time by winds up to forty miles per hour. Airport

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Speaker 10: officials say at least eighteen people were taken to the hospital,

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Speaker 10: according to paramedics, and none of their injuries are considered

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Speaker 10: to be life threatening. Overnight, Delta provided an update saying

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Speaker 10: some of the customers have been released from the hospital

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Speaker 10: and they've also sent their incident response team. The airline

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Speaker 10: says they will not have any planned operational changes today now.

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Speaker 1: The FAA says.

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Speaker 10: That the Transportation Safety Board of Canada will lead this investigation.

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Speaker 1: I don't feel like it's.

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Speaker 5: A plane crash, yeah, I feel like they it is

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Speaker 5: the word crash a lot.

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Speaker 1: Yeah, but that's what gets clicks it a very unfortunate situation.

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Speaker 5: The air traffic control. Oh, like, yeah, we've got a

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Speaker 5: plane crash on Uh.

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Speaker 1: Yeah too, You're probably right. I'm so scared to fly

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Speaker 1: too that I'm just trying to taught myself out of

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Speaker 1: it as well. That does this make national news if

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Speaker 1: all the other stories aren't national news?

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Speaker 5: Yeah? Do we have any trips coming up where we

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Speaker 5: have to fly?

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Speaker 1: See, that's where it gets you start to like freak

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Speaker 1: yourself out because then you're putting yourself in these scenarios.

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Speaker 1: I can read the stats again, like one in one

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Speaker 1: hundred chance you get a bad car accident, one in

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Speaker 1: what was nine million? Getting a plane crash? Pretty good?

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Speaker 1: But this was like a plane that's like a rollover plane.

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Speaker 1: What are the four major this year? Like she said,

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Speaker 1: so you had there, everybody died. That's what I'm talking

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Speaker 1: about this morning where it hit the helicopter going into DC.

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Speaker 1: You had the small plane, the ambulance plane and from

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Speaker 1: Mexico right that crashed near Philadelphia. Those are the two

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Speaker 1: I remember. I just remember clicking the other ones. And

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Speaker 1: there was another private.

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Speaker 5: Well there's the plane that went missing in Alaska, but

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Speaker 5: it was found.

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Speaker 1: It was a small private plane as well. Is that

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Speaker 1: like those happen all the time?

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Speaker 5: Was it found?

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Speaker 1: Yeah, they found lunchbo said they found it. Reported on that. Yeah,

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Speaker 1: they all they can find them when they died.

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Speaker 5: I already forgot that part.

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Speaker 1: Yeah, but again that's a small private plane. We don't

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Speaker 1: know one how credential the pilot was right, because it's

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Speaker 1: you can get a pilot's license and not flown that much.

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Speaker 1: American Airlines in DC on January nineteenth and Philadelphia the

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Speaker 1: Meta METAVC that's what you call them, metavac. Yeah, medical

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Speaker 1: plane February sixth in Alaska. That's a good memory there.

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Speaker 1: And then in Arizona, two private planes, small private planes collided.

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Speaker 1: Was that the one with the Motley Crue. That's gotta

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Speaker 1: be that. Yeah, it was his plane, the lead singer

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Speaker 1: of Motley Crue and his girlfriend was on it. I

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Speaker 1: think the pilot died there the two planes hit each other.

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Speaker 1: I think had that first one not happened, these small

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Speaker 1: planes that are flipping over, I don't think that would

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Speaker 1: be in the news as much as my only point,

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Speaker 1: it feels like it's so much more because when there's

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Speaker 1: one big story, it's like Morgan wall And becomes massive

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Speaker 1: hit and another four artists. It sounds just like Morgan Wallan.

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Speaker 1: So you got one massive tragedy in every other tragedy.

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Speaker 1: Now is like, well, let's make a bigger deal about

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Speaker 1: it because it's kind of like the other tragedy and

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Speaker 1: they're all tragedies. But I'm gonna go not a plane

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Speaker 1: crash with the Delta one. I'm gonna say it was

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Speaker 1: a rollover accident. Yeah, rollover?

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Speaker 5: What what you want?

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Speaker 1: Yeah? I think I will. It's America. A plane flipping over?

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Speaker 4: Yeah, that does?

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Speaker 1: When right? When the plane roll when's that ever happen?

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Speaker 1: On my TikTok algorithm? I get fed what I would

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Speaker 1: call rough around the edges country music. It's a new

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Speaker 1: genre where they're not that good in the classic sense,

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Speaker 1: but they try really hard, like I would put our

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Speaker 1: friend's land Law, who I'm really rooting for. I hope

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Speaker 1: they get a lot better because they have a big passion.

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Speaker 1: Two brothers from Arkansas.

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Speaker 5: So wait, you're putting them in a category of like.

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Speaker 1: Rough around the edges. They have a lot of work

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Speaker 1: to do. They're probably a little earlier than they should be.

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Speaker 1: But I got a lot of Hope and these guys,

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Speaker 1: and they got a really good song that we like

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Speaker 1: this country to the bone and the hollows where we

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Speaker 1: call our home country as it gets. If it's broke

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Speaker 1: crown here, we just fix it, apple pie, moonshine jam.

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Speaker 1: It's called rough around the edges kind.

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Speaker 5: Do you think because of them you're getting said more?

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Speaker 1: Absolutely, because I'm land law to the bone, and so

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Speaker 1: now I just and they're they're they're good and rough

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Speaker 1: around the edges country. You know, they have these sub

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Speaker 1: categories of country and going. Dude, I get some people

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Speaker 1: that I'm like, is this even serious? It's my algorithm

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Speaker 1: now just feeds me really terrible people. I think my

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Speaker 1: standards are getting lower now because I just see. I

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Speaker 1: used to work on a golf course. Let me give

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Speaker 1: you an example here. I did like maintenance on a

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Speaker 1: golf course. I did traps and mode greens, a lot

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Speaker 1: of weed eater, a lot of mowing, and it was

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Speaker 1: all old people all the time because it was in

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Speaker 1: a retirement community. So if there was a woman who

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Speaker 1: was like fifty two hotty over on whole number eight,

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Speaker 1: we'd be calling her, there's a hottie. She's boys, she's

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Speaker 1: young and hot. She's like fifty two and I'm like it,

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Speaker 1: eighteen nineteen year old kid. But my standards were lower

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Speaker 1: because everybody was one hundred years old. When there was

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Speaker 1: a fifty two year old. I'm like, whoa, we got

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Speaker 1: a young one over here. Boys. I think I got

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Speaker 1: so much rough around the edge of country that my

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Speaker 1: standards get lower. Okay, it's all I get fed.

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Speaker 5: So when you get like mediocre, you're like, we got

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Speaker 5: to go.

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Speaker 1: I'm not, we gotta go. Get me a deal. Yeah,

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Speaker 1: I'll sign on myself. I'll create a label, sign on myself. Okay,

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Speaker 1: but I'm big Landlow Guy, hashtag Landlow forever. But yeah,

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Speaker 1: it's all. I just wonder if you guys get fed better.

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Speaker 1: If it's just me, I don't I get some of it?

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Speaker 1: You do? Oh yeah? My wife last night was like,

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Speaker 1: do you ever get fed pov on TikTok And I'm

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Speaker 1: like no, and she showed me. She goes, wow, I

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Speaker 1: get a lot of this. It's so cool. AI does

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Speaker 1: povs of coal miner in eighteen fifty six, and it's

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Speaker 1: like they wake up in the morning, what their day

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Speaker 1: looks like. Oh, that's it's awesome and she's like, you

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Speaker 1: don't get this. I'm like, no, I don't get that.

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Speaker 1: So all our algorithms are giving us what we want

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Speaker 1: or what they think we might want, that we haven't

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Speaker 1: been exposed to yet. But I thought the POV stuff

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Speaker 1: was really cool. Anybody get POV look it up. It's awesome.

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Speaker 1: That's why I want to do Yeah, yeah, yeah, sorry

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Speaker 1: about that. Yeah, point of view.

435
00:20:02,480 --> 00:20:05,240
Speaker 5: Like POV of you know, someone that was living during

436
00:20:05,680 --> 00:20:06,440
Speaker 5: the Great Depression.

437
00:20:06,480 --> 00:20:10,480
Speaker 1: Yeah's cool. Yeah, yeah, same as coal miner probably, but yeah, right,

438
00:20:10,600 --> 00:20:11,080
Speaker 1: very closely.

439
00:20:11,119 --> 00:20:12,600
Speaker 5: Well, I'm just trying to think back of things like

440
00:20:12,640 --> 00:20:17,680
Speaker 5: that would be helpful to learn, like POV, like you're oh, Abraham.

441
00:20:17,280 --> 00:20:20,560
Speaker 1: Lincoln, POV, You're a chef at a five star restaurant,

442
00:20:21,040 --> 00:20:24,040
Speaker 1: and it's all the things coming and going. But anyway,

443
00:20:24,359 --> 00:20:26,760
Speaker 1: rough around the edges and POV, that's what I'm doing

444
00:20:26,760 --> 00:20:32,840
Speaker 1: on TikTok right now. A woman in Daphne, Alabama, was

445
00:20:32,920 --> 00:20:36,600
Speaker 1: arrested personally twenty thousand dollars in cash from a woman

446
00:20:36,680 --> 00:20:39,560
Speaker 1: she was caring for. But she replaced that twenty thousand

447
00:20:39,600 --> 00:20:42,520
Speaker 1: dollars in cash with movie money. The fake movie money,

448
00:20:42,640 --> 00:20:44,640
Speaker 1: which looks so real because we had some up here,

449
00:20:44,840 --> 00:20:47,359
Speaker 1: I could for sure see how you be fool by that?

450
00:20:48,640 --> 00:20:51,360
Speaker 1: She stole over twenty thousand dollars from the victim, used

451
00:20:51,359 --> 00:20:53,800
Speaker 1: the prop money. The crime was discovered from the victim

452
00:20:54,040 --> 00:20:56,960
Speaker 1: noticed the counterfeit bills, which police They are usually seen

453
00:20:57,000 --> 00:21:00,240
Speaker 1: in drug investigations, but not in cases like this. Man

454
00:21:00,280 --> 00:21:03,440
Speaker 1: good eye, because I would have never noticed it. I

455
00:21:03,440 --> 00:21:05,239
Speaker 1: would have tried to use it. You see, people are

456
00:21:05,240 --> 00:21:07,040
Speaker 1: not tipping more with this fake money. You say that

457
00:21:07,080 --> 00:21:12,119
Speaker 1: story or waiters, and they probably don't. This is not

458
00:21:12,200 --> 00:21:13,280
Speaker 1: Yeah I know, because it looks so real.

459
00:21:13,480 --> 00:21:15,119
Speaker 5: Yeah, I would just because you're so busy and on

460
00:21:15,119 --> 00:21:16,880
Speaker 5: the go, like I would maybe not notice it till.

461
00:21:16,840 --> 00:21:19,600
Speaker 1: Later instead of in God, we trust it says improps,

462
00:21:19,600 --> 00:21:23,560
Speaker 1: we trust the bill. Yeah, I didn't know that. Little

463
00:21:23,600 --> 00:21:26,960
Speaker 1: things like that. In Alabama, a gun discharge, we had

464
00:21:27,000 --> 00:21:30,000
Speaker 1: two Alabamas in a row. A gun discharge in had

465
00:21:30,040 --> 00:21:33,000
Speaker 1: a second graders backpack. The bullet shot out hit another

466
00:21:33,000 --> 00:21:36,640
Speaker 1: student's backpack, where it thankfully was stopped by that student's laptop.

467
00:21:37,080 --> 00:21:39,320
Speaker 1: No one was injured. The student with the gun was

468
00:21:39,359 --> 00:21:43,720
Speaker 1: not able to explain how it got there. I wonder

469
00:21:43,720 --> 00:21:45,720
Speaker 1: how old the kid is second grade? Eight years old?

470
00:21:45,840 --> 00:21:48,399
Speaker 1: So probably you're old enough to take it if you

471
00:21:48,440 --> 00:21:50,920
Speaker 1: see it, probably not apparent hiding it in there.

472
00:21:50,800 --> 00:21:52,200
Speaker 5: And then feel bad about it and be like, I

473
00:21:52,240 --> 00:21:52,960
Speaker 5: don't know how it.

474
00:21:52,880 --> 00:21:54,879
Speaker 1: Got there, m hm. Place that the kid was not

475
00:21:54,920 --> 00:21:57,399
Speaker 1: able to explain. Further investigation could not determine how the

476
00:21:57,400 --> 00:21:59,639
Speaker 1: fire arm was placed in the backpack. That's from al

477
00:21:59,680 --> 00:22:03,399
Speaker 1: dot Com. Luckily no kid was hit. A forty two

478
00:22:03,520 --> 00:22:05,520
Speaker 1: year old woman in Florida was arrested for firing a

479
00:22:05,560 --> 00:22:08,760
Speaker 1: BB gun at two teens riding their dirt bikes near

480
00:22:08,760 --> 00:22:13,639
Speaker 1: her home. Just the headline alone, to me, does not

481
00:22:13,800 --> 00:22:15,760
Speaker 1: seem like she should be arrested. That sounds normal if

482
00:22:15,760 --> 00:22:17,639
Speaker 1: it's just a BB gun. But let's go further. In

483
00:22:18,040 --> 00:22:19,880
Speaker 1: a Vero Beach, woman was arrested for firing a BB

484
00:22:19,920 --> 00:22:22,080
Speaker 1: gun to two teens riding their dirt bikes near her house.

485
00:22:22,280 --> 00:22:25,520
Speaker 1: Indian River County Sheriff's deputies responded to the disturbance. Deputy

486
00:22:25,560 --> 00:22:28,080
Speaker 1: is located the two teens, who told them as they

487
00:22:28,080 --> 00:22:31,119
Speaker 1: were riding past the house that somebody stood outside and

488
00:22:31,160 --> 00:22:33,960
Speaker 1: pointed a gun in their direction. They heard two loud bangs,

489
00:22:34,119 --> 00:22:37,880
Speaker 1: which they assumed was the gun being fired. Neither BB

490
00:22:38,000 --> 00:22:42,800
Speaker 1: pellet hit the teens on their bikes. Loud bangs, BB gun.

491
00:22:42,800 --> 00:22:46,880
Speaker 1: It's like, like, that's it. One of the teens took

492
00:22:46,880 --> 00:22:49,920
Speaker 1: a video of the incident, and it does show her

493
00:22:50,080 --> 00:22:52,399
Speaker 1: in the front yard yelling go home right now. She

494
00:22:52,560 --> 00:22:56,120
Speaker 1: pop probably has a gun in her hand, so deputies

495
00:22:56,160 --> 00:22:57,800
Speaker 1: contacted her. She said, yeah, she was holding a BB

496
00:22:57,880 --> 00:22:59,800
Speaker 1: gun to scare them off. But she said I didn't

497
00:22:59,840 --> 00:23:02,359
Speaker 1: fire the weapon. The BB gun was found with pelots

498
00:23:02,359 --> 00:23:03,960
Speaker 1: inside of it. I mean she didn't hit the kids.

499
00:23:04,200 --> 00:23:06,280
Speaker 1: It's also a BB gun and they may be on

500
00:23:06,320 --> 00:23:08,679
Speaker 1: our property. I'm gonna give you a very light sentence

501
00:23:08,920 --> 00:23:10,399
Speaker 1: pick up trash for a date. We'll call it these

502
00:23:10,720 --> 00:23:14,040
Speaker 1: don't but don't do it again WPBF. With that story,

503
00:23:14,760 --> 00:23:16,760
Speaker 1: parenting experts say, the next time your kid is angry,

504
00:23:16,920 --> 00:23:20,320
Speaker 1: use this magic phrase to calm them down. The phrase

505
00:23:20,440 --> 00:23:22,600
Speaker 1: is I see you're upset. Now I'm here for you.

506
00:23:23,280 --> 00:23:23,880
Speaker 5: Oh that's good.

507
00:23:24,280 --> 00:23:26,280
Speaker 1: The phrase may seem simple, but it carries a lot

508
00:23:26,280 --> 00:23:28,879
Speaker 1: of power. It does three things at once. It acknowledges

509
00:23:28,880 --> 00:23:32,320
Speaker 1: their feelings, reassures them they're not alone, and creates space

510
00:23:32,359 --> 00:23:36,720
Speaker 1: to calm down without feeling judged. I see you're upset, right,

511
00:23:36,760 --> 00:23:38,000
Speaker 1: now I'm here for you.

512
00:23:38,440 --> 00:23:39,679
Speaker 5: Yeah, that would also work for me.

513
00:23:40,280 --> 00:23:43,719
Speaker 1: That's from Ten Days to a Less Defiant Child by

514
00:23:43,800 --> 00:23:46,840
Speaker 1: Jeffrey Bernstein, PhD. So you're saying for adults.

515
00:23:46,560 --> 00:23:49,479
Speaker 5: Too, Yeah, I think, especially if you didn't get that

516
00:23:49,520 --> 00:23:52,080
Speaker 5: as a child, you may need to be reminded that

517
00:23:52,119 --> 00:23:55,439
Speaker 5: as an adult, like, I see that you're upset, and what's.

518
00:23:55,280 --> 00:23:58,520
Speaker 1: The back part? I see your upset and don't shoot?

519
00:23:58,600 --> 00:23:59,000
Speaker 1: What is it?

520
00:23:59,080 --> 00:24:00,000
Speaker 4: No, it's not don't shoot.

521
00:24:00,080 --> 00:24:01,119
Speaker 5: Don't troot me with a BVB guy.

522
00:24:01,200 --> 00:24:04,160
Speaker 1: Yeah, my story is mixed up here. Yeah it's I see,

523
00:24:04,400 --> 00:24:05,680
Speaker 1: I understand. What is it?

524
00:24:05,760 --> 00:24:05,960
Speaker 9: Yeah?

525
00:24:05,960 --> 00:24:06,760
Speaker 5: I need to write this down.

526
00:24:06,840 --> 00:24:09,520
Speaker 1: Yeah, I tossed my story. Is this what we're here for? Yeah,

527
00:24:09,520 --> 00:24:11,159
Speaker 1: that's what it is. I see you're upset right now,

528
00:24:11,200 --> 00:24:11,800
Speaker 1: I'm here for you.

529
00:24:11,960 --> 00:24:13,560
Speaker 5: Yeah, you are safe.

530
00:24:14,000 --> 00:24:16,520
Speaker 1: Well, now we're adding to it a scam the scammer

531
00:24:16,560 --> 00:24:20,960
Speaker 1: called USA. On Wednesday, a woman gave birth on a

532
00:24:21,000 --> 00:24:24,840
Speaker 1: New York City subway train around eleven thirty am. The

533
00:24:24,920 --> 00:24:27,919
Speaker 1: unidentified twenty five year old reportedly dropped to the floor.

534
00:24:28,000 --> 00:24:30,840
Speaker 1: Several people rushed over to check on her. Others went

535
00:24:30,880 --> 00:24:34,240
Speaker 1: to the conductor, urging him to stop. You're a conductor,

536
00:24:34,240 --> 00:24:36,080
Speaker 1: if you run a subway, that's cool. I didn't know that.

537
00:24:36,200 --> 00:24:38,520
Speaker 1: Yeah either, I didn't even think there are people on it,

538
00:24:38,680 --> 00:24:42,399
Speaker 1: just robots. Moments later, a baby could be heard crying.

539
00:24:42,680 --> 00:24:44,720
Speaker 1: One passenger even whipped out a pocket knife to cut

540
00:24:44,720 --> 00:24:50,399
Speaker 1: the umbilical cord. WHOA, that's but I'd be like, and

541
00:24:50,520 --> 00:24:53,960
Speaker 1: is it clean? Da? The name of the baby girl

542
00:24:54,000 --> 00:24:56,199
Speaker 1: hasn't been released. Oh it's got to be subway, right,

543
00:24:56,240 --> 00:24:57,440
Speaker 1: ABC seven, New York.

544
00:24:58,280 --> 00:24:59,520
Speaker 5: Now, whatever stop it is? Maybe?

545
00:24:59,680 --> 00:25:03,280
Speaker 1: Oh right? Or at Madison Avenue, Madison's that's a cool name.

546
00:25:03,880 --> 00:25:06,880
Speaker 1: Matt Stell is on the Bobby Cast this week. He's

547
00:25:06,920 --> 00:25:09,680
Speaker 1: got number ones like Prayed for You, And we talked

548
00:25:09,680 --> 00:25:12,439
Speaker 1: about his life growing up in a small town and

549
00:25:13,200 --> 00:25:16,439
Speaker 1: going to college, and you know, his first interest was

550
00:25:17,119 --> 00:25:18,920
Speaker 1: heavy red dirt. That's what he did, that's what he wrote,

551
00:25:18,960 --> 00:25:21,880
Speaker 1: that's what he tour to do forever. And he talked

552
00:25:21,880 --> 00:25:24,000
Speaker 1: about how Prayed for You wasn't exactly the type of

553
00:25:24,000 --> 00:25:25,520
Speaker 1: song he thought would be his first hit.

554
00:25:25,960 --> 00:25:28,240
Speaker 9: I wasn't a person on the radio then, Like we

555
00:25:28,320 --> 00:25:30,800
Speaker 9: put that song out in that EP out. If I'm

556
00:25:30,840 --> 00:25:34,600
Speaker 9: being honest, I wanted that song to be a multi

557
00:25:34,600 --> 00:25:38,480
Speaker 9: week number one for Blake Shelton or for whoever, Like

558
00:25:38,640 --> 00:25:40,720
Speaker 9: I thought that's what I was doing. And so when

559
00:25:40,720 --> 00:25:44,119
Speaker 9: that song hit like it did, we started getting calls

560
00:25:44,480 --> 00:25:46,520
Speaker 9: from some labels, and then we got a call and

561
00:25:46,680 --> 00:25:48,880
Speaker 9: signed a deal and blah blah blah. I always want

562
00:25:48,880 --> 00:25:50,520
Speaker 9: to make music that matter to people, but I never

563
00:25:50,560 --> 00:25:52,399
Speaker 9: thought I was going to be as someone who wrote

564
00:25:52,640 --> 00:25:54,320
Speaker 9: one of the bigger wedding songs.

565
00:25:54,720 --> 00:25:56,600
Speaker 1: It's interesting because his whole career it was like I

566
00:25:56,720 --> 00:25:58,520
Speaker 1: was a red dirt guy trying to write red dirt

567
00:25:58,520 --> 00:26:01,200
Speaker 1: songs all my heroes of red dirt guys. And then

568
00:26:01,720 --> 00:26:03,240
Speaker 1: we write the song called Prayed for You, and I

569
00:26:03,240 --> 00:26:06,399
Speaker 1: did not expect that to be the song they just launched.

570
00:26:06,440 --> 00:26:08,800
Speaker 1: Now I'm having and he's in a good place with it.

571
00:26:08,800 --> 00:26:10,359
Speaker 1: But he's like, now I'm singing this ballad all the

572
00:26:10,400 --> 00:26:13,280
Speaker 1: time that I never really thought would represent me. But

573
00:26:13,320 --> 00:26:15,000
Speaker 1: it's so good. It's so good when he plays it,

574
00:26:15,520 --> 00:26:17,960
Speaker 1: Matt Still, this has Prayed for You Bobby Bones Show.

575
00:26:18,160 --> 00:26:20,000
Speaker 1: He is a guest on the Bobby Cast this week,

576
00:26:20,040 --> 00:26:23,560
Speaker 1: So search it out Bobby Cast one word subscribe, listen

577
00:26:23,600 --> 00:26:27,679
Speaker 1: to that interview. It's really cool. Thank you guys. All Right,

578
00:26:27,720 --> 00:26:31,080
Speaker 1: this is called the selfish will. And so everybody's names

579
00:26:31,080 --> 00:26:32,760
Speaker 1: on the wheel. And I've not spoken any of you

580
00:26:32,800 --> 00:26:34,680
Speaker 1: about this bit, but you're going to see. This is

581
00:26:34,720 --> 00:26:37,760
Speaker 1: one of those try it out segments. So everybody's name's

582
00:26:37,760 --> 00:26:39,040
Speaker 1: on the wheel. This is not a bad will, this

583
00:26:39,080 --> 00:26:41,640
Speaker 1: is a good will today. Oh okay, this is called

584
00:26:41,640 --> 00:26:44,840
Speaker 1: the selfish will. Yes, so I will spend the will

585
00:26:45,240 --> 00:26:47,760
Speaker 1: whomever it lands on. You'll get to do a segment

586
00:26:47,840 --> 00:26:48,480
Speaker 1: or whatever you want.

587
00:26:49,600 --> 00:26:50,040
Speaker 4: Anything.

588
00:26:50,440 --> 00:26:51,720
Speaker 1: You can be as selfish as you want.

589
00:26:52,920 --> 00:26:55,320
Speaker 4: Okay, how do we know?

590
00:26:56,160 --> 00:26:58,320
Speaker 1: Well it lands on you. You're talking about whatever you

591
00:26:58,359 --> 00:27:01,120
Speaker 1: want to talk. We want be as selfish as you want,

592
00:27:01,800 --> 00:27:03,800
Speaker 1: so much so that I don't know what you would

593
00:27:03,800 --> 00:27:06,919
Speaker 1: talk about if it landed on you. Well, you can't

594
00:27:06,920 --> 00:27:10,919
Speaker 1: do is something like a free commercial? Mm I look

595
00:27:10,920 --> 00:27:12,119
Speaker 1: at lunch I look at all you guys that I

596
00:27:12,160 --> 00:27:17,359
Speaker 1: really just focus on lunchbox. Yeah, yeah, it is an

597
00:27:18,119 --> 00:27:20,800
Speaker 1: Maybe it's something that you would normally want to suggest,

598
00:27:20,840 --> 00:27:23,600
Speaker 1: and you're like I, that probably wouldn't get on the show.

599
00:27:23,640 --> 00:27:26,840
Speaker 1: It doesn't matter. It's called the selfish will, so we'll

600
00:27:26,880 --> 00:27:29,600
Speaker 1: spin it. You do not have to have anything prepared,

601
00:27:29,640 --> 00:27:31,479
Speaker 1: so I don't feel like now if you don't have something,

602
00:27:32,000 --> 00:27:37,680
Speaker 1: but I also don't want to know, so I don't

603
00:27:37,680 --> 00:27:40,600
Speaker 1: know about again, this is experiment day. I don't know

604
00:27:40,720 --> 00:27:42,119
Speaker 1: if I would give you guys the heads up befo

605
00:27:42,080 --> 00:27:43,960
Speaker 1: we're going to do it or not, because I think

606
00:27:44,000 --> 00:27:49,080
Speaker 1: it may take away some of that some of the

607
00:27:49,119 --> 00:27:52,040
Speaker 1: fun of wondering kind of where everybody's head is if

608
00:27:52,040 --> 00:27:55,040
Speaker 1: you're preparing. Okay, everybody good.

609
00:27:55,480 --> 00:27:59,120
Speaker 4: I'm a little more confused now, but I think okay, so.

610
00:27:59,359 --> 00:28:01,000
Speaker 1: It's just gonna on your name and you can talk

611
00:28:01,000 --> 00:28:03,919
Speaker 1: about whatever you want. Well, you don't have to just go.

612
00:28:03,960 --> 00:28:05,399
Speaker 1: You literally can take a second and go, you know

613
00:28:05,440 --> 00:28:07,440
Speaker 1: what I like to talk about this?

614
00:28:07,800 --> 00:28:08,000
Speaker 4: Oh?

615
00:28:08,119 --> 00:28:13,280
Speaker 1: Okay, okay, and okay.

616
00:28:12,680 --> 00:28:13,840
Speaker 8: Why does this feel weird?

617
00:28:14,040 --> 00:28:16,080
Speaker 1: And let's let's see how it goes? All? Right, here

618
00:28:16,160 --> 00:28:16,359
Speaker 1: we go.

619
00:28:16,440 --> 00:28:25,480
Speaker 3: Let's boy, Eddie, you got the selfish.

620
00:28:25,119 --> 00:28:27,080
Speaker 1: Will today you can talk about whatever you want. It

621
00:28:27,080 --> 00:28:31,000
Speaker 1: can be about your uncle and his band. Oh, it

622
00:28:31,040 --> 00:28:33,680
Speaker 1: can be about your kids. It can be about any

623
00:28:33,720 --> 00:28:36,239
Speaker 1: injury you have. It literally could be a segment that

624
00:28:37,480 --> 00:28:41,520
Speaker 1: was maybe not rejected outwardly but never got used. It

625
00:28:41,560 --> 00:28:44,240
Speaker 1: doesn't matter, okay, but it can be whatever you want.

626
00:28:44,360 --> 00:28:45,240
Speaker 4: I think I have something.

627
00:28:45,280 --> 00:28:47,600
Speaker 7: What would you like to talk about And the reason

628
00:28:47,640 --> 00:28:49,360
Speaker 7: I probably wouldn't want to talk about it is because

629
00:28:49,360 --> 00:28:50,640
Speaker 7: you guys would make fun of me and you probably

630
00:28:50,640 --> 00:28:53,440
Speaker 7: wouldn't believe me. But I something has happened to me,

631
00:28:53,720 --> 00:28:55,200
Speaker 7: and I swear this is real.

632
00:28:55,280 --> 00:28:57,680
Speaker 1: Okay, Well, we still might make fun of you.

633
00:28:57,680 --> 00:28:58,160
Speaker 4: You don't.

634
00:28:58,560 --> 00:29:01,560
Speaker 1: Yeah, there's no immunity here, Okay, Okay, go ahead.

635
00:29:01,720 --> 00:29:03,760
Speaker 7: So I have a bird feeder in the back. Amy

636
00:29:03,800 --> 00:29:06,120
Speaker 7: knows all about this. Amy's bird lady. I have a

637
00:29:06,120 --> 00:29:09,080
Speaker 7: bird feeder in the back. I've been feeding birds for months,

638
00:29:09,120 --> 00:29:10,960
Speaker 7: I would say about four or five months now.

639
00:29:11,800 --> 00:29:14,600
Speaker 4: I swear these birds know my face.

640
00:29:15,720 --> 00:29:19,000
Speaker 7: I'm dead serious, because if the kids go out there,

641
00:29:19,080 --> 00:29:21,200
Speaker 7: like the kids go in the backyard, the birds they

642
00:29:21,240 --> 00:29:24,120
Speaker 7: take off. Okay, I walk out there, I'm snow white.

643
00:29:24,320 --> 00:29:26,400
Speaker 7: They look at me and they're like, oh, keep eating.

644
00:29:27,080 --> 00:29:28,400
Speaker 4: It's the weirdest thing ever.

645
00:29:28,440 --> 00:29:30,959
Speaker 7: And I have these bird feeders on my window that

646
00:29:31,000 --> 00:29:33,160
Speaker 7: are right by my living room. When I'm sitting there

647
00:29:33,200 --> 00:29:36,440
Speaker 7: watching TV, Dude, they come up, they eat, they stare

648
00:29:36,480 --> 00:29:39,440
Speaker 7: at me while I'm watching TV. My wife's there, they

649
00:29:39,440 --> 00:29:42,840
Speaker 7: see her, whoa, they take off. I think birds know

650
00:29:42,960 --> 00:29:45,640
Speaker 7: our faces and they say, hey, you know what, Hey

651
00:29:45,640 --> 00:29:46,240
Speaker 7: that's Bobby.

652
00:29:46,400 --> 00:29:48,000
Speaker 4: Oh he's cool. I've known Bobby for.

653
00:29:48,040 --> 00:29:50,000
Speaker 1: Years and they tell their other boys and girls like, guys,

654
00:29:50,000 --> 00:29:50,680
Speaker 1: we're all good here.

655
00:29:50,640 --> 00:29:53,160
Speaker 4: Dude, I've been flying around Bobby's window forever. He's cool.

656
00:29:53,200 --> 00:29:53,840
Speaker 4: He won't kill you.

657
00:29:53,880 --> 00:29:55,840
Speaker 1: But if the kids come out, the birds act different.

658
00:29:56,240 --> 00:29:56,920
Speaker 4: Absolutely.

659
00:29:57,000 --> 00:29:58,160
Speaker 1: What kind of birds are we talking?

660
00:29:58,440 --> 00:30:04,080
Speaker 7: Blue jays, cardinals, chicka, these Carolina tit mouses. You're talking

661
00:30:04,160 --> 00:30:10,440
Speaker 7: all kinds of birds, sparrows, finches. I saw a tough

662
00:30:10,440 --> 00:30:10,800
Speaker 7: didn't know.

663
00:30:10,920 --> 00:30:14,880
Speaker 1: Was it so cute? Cue? You saw a pair of

664
00:30:14,920 --> 00:30:15,479
Speaker 1: tit mouses?

665
00:30:16,640 --> 00:30:17,160
Speaker 5: Yeah?

666
00:30:17,320 --> 00:30:19,400
Speaker 8: Okay, so they do?

667
00:30:19,320 --> 00:30:20,800
Speaker 3: Do they know a face, a smell?

668
00:30:21,560 --> 00:30:23,200
Speaker 8: They can recognize faces.

669
00:30:23,320 --> 00:30:27,200
Speaker 5: They've even said that pigeons can recognize people even if

670
00:30:27,200 --> 00:30:29,600
Speaker 5: they change clothes. So it's not about having a yellow

671
00:30:29,640 --> 00:30:33,120
Speaker 5: shirt and they recognize it. It's facial recognition.

672
00:30:33,800 --> 00:30:35,960
Speaker 1: So, for the record, I would have never put this

673
00:30:36,040 --> 00:30:36,280
Speaker 1: on the.

674
00:30:36,200 --> 00:30:40,000
Speaker 4: Show, right because it's boring, no fun of me. No,

675
00:30:40,120 --> 00:30:41,280
Speaker 4: they know your face.

676
00:30:41,080 --> 00:30:43,240
Speaker 1: Because it still can be boring and we still can

677
00:30:43,280 --> 00:30:45,920
Speaker 1: make fun of you. But I didn't know this, and

678
00:30:45,960 --> 00:30:48,560
Speaker 1: I think I probably at the risk of putting in

679
00:30:48,560 --> 00:30:49,760
Speaker 1: on the live shows, Like I don't know where this

680
00:30:49,800 --> 00:30:51,520
Speaker 1: is going to go. I don't even know the options.

681
00:30:52,160 --> 00:30:54,640
Speaker 1: And if I were to mostly out percentage in my head,

682
00:30:54,760 --> 00:30:57,080
Speaker 1: what's the percentages? Is boring? Seventy three percent?

683
00:30:57,480 --> 00:30:59,480
Speaker 4: But is that your true number? Seventy three percent?

684
00:30:59,640 --> 00:31:02,480
Speaker 1: Probably hard to wait it out, but I don't like

685
00:31:02,480 --> 00:31:05,160
Speaker 1: to stand boring. No, I don't either, because I like

686
00:31:05,200 --> 00:31:09,560
Speaker 1: to learn things. So I'm going to say, can birds

687
00:31:12,120 --> 00:31:15,320
Speaker 1: recognize recognize people?

688
00:31:15,680 --> 00:31:15,920
Speaker 4: Yeah?

689
00:31:16,720 --> 00:31:18,840
Speaker 5: Also, while Bobby's looking that up Eddie, we should be

690
00:31:18,920 --> 00:31:21,960
Speaker 5: considering the fact that Eddie lost his dad and one

691
00:31:21,960 --> 00:31:23,520
Speaker 5: of his dad is one of these birds.

692
00:31:23,560 --> 00:31:25,560
Speaker 1: You're doing too much that which ten mounce is your dad?

693
00:31:26,160 --> 00:31:29,960
Speaker 1: He thought it'd be funny to be a that would

694
00:31:30,000 --> 00:31:33,200
Speaker 1: totally be him. Yes, many birds can recognize individual people,

695
00:31:33,360 --> 00:31:38,160
Speaker 1: especially those they interact with regularly. Facial recognition studies show

696
00:31:38,200 --> 00:31:42,280
Speaker 1: that birds like crows, pigeons, and magpies can remember human

697
00:31:42,280 --> 00:31:46,800
Speaker 1: faces and distinguish between friendly and threatening individuals. Voice recognition.

698
00:31:47,120 --> 00:31:50,440
Speaker 1: Some birds, like parrots and crows, can recognize familiar voices

699
00:31:50,480 --> 00:31:54,280
Speaker 1: and respond differently to them. Behavioral memory. If a person

700
00:31:54,360 --> 00:31:57,800
Speaker 1: feeds them or treats them kindly, birds may associate that

701
00:31:57,840 --> 00:32:02,280
Speaker 1: person with a positive experience. Conversely, if someone scares them,

702
00:32:02,440 --> 00:32:04,080
Speaker 1: they'll remember that and avoid them.

703
00:32:04,120 --> 00:32:04,800
Speaker 4: That's the kids.

704
00:32:05,480 --> 00:32:07,640
Speaker 1: This is a list of smart birds that can recognize people,

705
00:32:09,520 --> 00:32:11,080
Speaker 1: and it's probably not all of them, but they list

706
00:32:11,120 --> 00:32:14,360
Speaker 1: crows and ravens. Apparently these crows are are smart in

707
00:32:14,360 --> 00:32:15,080
Speaker 1: the ge class.

708
00:32:15,160 --> 00:32:17,040
Speaker 4: Yeah, for sure. Nobody likes crows too.

709
00:32:17,080 --> 00:32:20,400
Speaker 1: It's weird, yeah, because they fly around trying to eat

710
00:32:20,440 --> 00:32:22,000
Speaker 1: dead stuff, and.

711
00:32:21,960 --> 00:32:24,840
Speaker 5: They're black and they're associated with Yeah, it's the association.

712
00:32:25,200 --> 00:32:27,200
Speaker 8: But really they are very smart.

713
00:32:27,200 --> 00:32:32,239
Speaker 1: Crows and ravens, pigeons, parrots. I don't know. I've ever

714
00:32:32,240 --> 00:32:34,040
Speaker 1: seen a magpie. Do I know what a magpie is?

715
00:32:34,040 --> 00:32:35,200
Speaker 1: Are they here where we live?

716
00:32:35,560 --> 00:32:35,920
Speaker 8: I don't know.

717
00:32:36,120 --> 00:32:37,719
Speaker 4: I have not seen one of those in my feeter.

718
00:32:37,800 --> 00:32:39,520
Speaker 1: So if you're kind to a bird, don't be surprised

719
00:32:39,560 --> 00:32:41,640
Speaker 1: if it remembers you. Oh, a magpie. I mean it

720
00:32:41,680 --> 00:32:43,840
Speaker 1: doesn't look like something I haven't seen. I just haven't

721
00:32:43,840 --> 00:32:45,720
Speaker 1: spent much attention to birds. Like I wouldn't know a

722
00:32:45,760 --> 00:32:46,880
Speaker 1: tipmouse from a butt mouse.

723
00:32:48,040 --> 00:32:49,400
Speaker 8: Oh you would tip mouse.

724
00:32:49,520 --> 00:32:52,080
Speaker 7: Once you start looking at birds, though, like you will

725
00:32:52,160 --> 00:32:53,480
Speaker 7: be like, oh man, it's the tip mouse.

726
00:32:53,560 --> 00:32:55,320
Speaker 1: I see a toughted tip mouse. Now can I see

727
00:32:55,360 --> 00:32:56,080
Speaker 1: the other tipmouse.

728
00:32:56,200 --> 00:32:59,400
Speaker 8: I've definitely never seen a magpie. These are beautiful. I

729
00:32:59,400 --> 00:33:01,160
Speaker 8: would remember if I saw one of these.

730
00:33:01,320 --> 00:33:02,600
Speaker 1: What is Eddie? What are the other tip What are

731
00:33:02,600 --> 00:33:03,680
Speaker 1: the other tip mouses at your house?

732
00:33:04,640 --> 00:33:07,000
Speaker 4: Carolina mouse?

733
00:33:07,120 --> 00:33:08,640
Speaker 8: I've only had tufted come to mind.

734
00:33:08,640 --> 00:33:09,560
Speaker 4: I think it's just toughted.

735
00:33:09,680 --> 00:33:13,360
Speaker 1: There's such a bird following here between you two. It's

736
00:33:13,400 --> 00:33:15,240
Speaker 1: like forty percent of the little room here.

737
00:33:15,720 --> 00:33:17,360
Speaker 4: But it's crazy because like.

738
00:33:17,280 --> 00:33:19,120
Speaker 8: You're probably thinking of the Carolina chickadee.

739
00:33:19,480 --> 00:33:21,480
Speaker 4: Oh is that the Carolina chickatye? Ok okay?

740
00:33:21,520 --> 00:33:22,920
Speaker 8: They look are the little one small?

741
00:33:23,600 --> 00:33:25,840
Speaker 1: Yeah? Dang, that's crazy. You know what these birds are?

742
00:33:25,880 --> 00:33:26,040
Speaker 5: Oh?

743
00:33:26,080 --> 00:33:27,160
Speaker 8: I used to play bird bingo?

744
00:33:27,600 --> 00:33:28,000
Speaker 1: Yeah, I know.

745
00:33:28,120 --> 00:33:28,720
Speaker 4: Did you stop?

746
00:33:29,440 --> 00:33:29,760
Speaker 5: Well?

747
00:33:29,880 --> 00:33:31,080
Speaker 4: I mean he's got a lot of bingos.

748
00:33:31,760 --> 00:33:33,360
Speaker 1: She's only planet. She got me over time.

749
00:33:34,080 --> 00:33:36,480
Speaker 8: Yeah, I had. I chilled out a little bit.

750
00:33:36,520 --> 00:33:40,560
Speaker 5: I think I was depressed, but that's an activity it was.

751
00:33:40,640 --> 00:33:42,719
Speaker 8: It was good for me during the time that I

752
00:33:42,880 --> 00:33:43,240
Speaker 8: had that.

753
00:33:43,360 --> 00:33:45,560
Speaker 5: I still have my birds and I love them, but

754
00:33:45,640 --> 00:33:47,720
Speaker 5: I don't I don't play bird bingo anymore.

755
00:33:48,640 --> 00:33:50,440
Speaker 1: Yeah, but I know a lot about birds though, which

756
00:33:50,480 --> 00:33:52,840
Speaker 1: is crazy. Both of you guys do so? Are you

757
00:33:52,840 --> 00:33:53,720
Speaker 1: a bird watching Morgan?

758
00:33:54,200 --> 00:33:56,520
Speaker 11: Yeah, well, my dad always has we buy the bird

759
00:33:56,520 --> 00:33:58,680
Speaker 11: fetures every year for Christmas. He has a whole thing.

760
00:33:58,680 --> 00:34:00,920
Speaker 11: He's like snow white back there. But I was actually

761
00:34:00,960 --> 00:34:02,920
Speaker 11: going to say, have you heard the story about pigeons.

762
00:34:03,040 --> 00:34:03,520
Speaker 1: Give it to me.

763
00:34:03,600 --> 00:34:06,200
Speaker 11: How pigeons used to be domesticated and then one day

764
00:34:06,200 --> 00:34:08,799
Speaker 11: everybody just because they used to be carrier pigeons so

765
00:34:08,840 --> 00:34:11,799
Speaker 11: people would own them, and then everybody just basically let

766
00:34:11,840 --> 00:34:14,080
Speaker 11: them loose and now pinge it when you see pigeons,

767
00:34:14,080 --> 00:34:15,880
Speaker 11: that's why they love people so much, is because they

768
00:34:15,960 --> 00:34:17,160
Speaker 11: used to be domesticated.

769
00:34:17,520 --> 00:34:19,680
Speaker 1: Didn't know that, you know, I've seen carrier pigeons on

770
00:34:19,719 --> 00:34:22,080
Speaker 1: a lot of shows like Game of Thrones. Unbelievable if

771
00:34:22,080 --> 00:34:25,120
Speaker 1: that's true, Like they really sent messages to someone like

772
00:34:25,320 --> 00:34:27,200
Speaker 1: how they knew to come back. Yeah, they were called

773
00:34:27,200 --> 00:34:30,040
Speaker 1: homing pigeons too, so they were absolutely real. They played

774
00:34:30,080 --> 00:34:32,760
Speaker 1: a major role in communication for centuries that this blows

775
00:34:32,800 --> 00:34:35,160
Speaker 1: my mind. Get a bird. I can't get my dog

776
00:34:35,200 --> 00:34:36,799
Speaker 1: to come back muchles, I's almost send a bird off

777
00:34:36,840 --> 00:34:40,120
Speaker 1: that I cannot communicate with. Certain pigeons have a natural

778
00:34:40,160 --> 00:34:42,880
Speaker 1: ability to find their way home from long distances using

779
00:34:42,880 --> 00:34:46,080
Speaker 1: the Earth's magnetic field and visual landmarks.

780
00:34:46,120 --> 00:34:46,720
Speaker 4: It's amazing.

781
00:34:46,760 --> 00:34:48,840
Speaker 1: Messages were written on small pieces of paper, But I

782
00:34:48,880 --> 00:34:50,520
Speaker 1: don't know how to get them to where they're going though,

783
00:34:50,640 --> 00:34:52,880
Speaker 1: Like I could understand a bird coming back home, but

784
00:34:52,920 --> 00:34:55,120
Speaker 1: how do you get to go to dairy Queen? Right? Like,

785
00:34:55,160 --> 00:34:56,279
Speaker 1: how do you say dairy queen?

786
00:34:56,320 --> 00:34:57,160
Speaker 8: Can you look that up?

787
00:34:57,920 --> 00:34:59,960
Speaker 1: Messages were written on small pieces of paper, placed in

788
00:35:00,080 --> 00:35:02,560
Speaker 1: tiny tubes and attached to the pigeon's leg. The pigeon

789
00:35:02,560 --> 00:35:06,000
Speaker 1: would then, Oh, they would mostly just send them back home,

790
00:35:07,120 --> 00:35:09,120
Speaker 1: so they would take the pigeon with them, and that

791
00:35:09,320 --> 00:35:11,680
Speaker 1: most of the messages were sent back home.

792
00:35:11,800 --> 00:35:12,439
Speaker 4: That makes sense.

793
00:35:12,719 --> 00:35:15,479
Speaker 5: So that would so it would know you would bring

794
00:35:15,480 --> 00:35:17,480
Speaker 5: it with you, yes, yes, and it would know how

795
00:35:17,560 --> 00:35:18,080
Speaker 5: to get.

796
00:35:17,920 --> 00:35:19,880
Speaker 1: Back home, but it wouldn't know how to get to

797
00:35:19,920 --> 00:35:21,920
Speaker 1: dairy Queen because that's anything that's too much.

798
00:35:22,239 --> 00:35:23,919
Speaker 2: Might Tyson training pigeons at one point?

799
00:35:24,480 --> 00:35:27,279
Speaker 7: Yeah, yes, he was really close to pigeons. And then

800
00:35:27,440 --> 00:35:30,400
Speaker 7: when he was a kid, one of his bullies killed

801
00:35:30,440 --> 00:35:32,319
Speaker 7: one of his pigeons, and that's when he learned like

802
00:35:32,880 --> 00:35:34,960
Speaker 7: to get rageful and he beat up this kid. And

803
00:35:34,960 --> 00:35:36,239
Speaker 7: that's kind of like, man, I can kind of fight

804
00:35:36,320 --> 00:35:38,640
Speaker 7: for a living because of the pigeon, just because the

805
00:35:38,719 --> 00:35:40,080
Speaker 7: kid killed his pigeon.

806
00:35:40,960 --> 00:35:46,480
Speaker 1: I'm one amazed that carrier pigeons were real. I wouldn't

807
00:35:46,480 --> 00:35:48,520
Speaker 1: have fought you over it. I would have been like,

808
00:35:48,680 --> 00:35:51,520
Speaker 1: I do not know. I've seen enough shows that it

809
00:35:51,800 --> 00:35:54,239
Speaker 1: plants the seed that it could possibly be real. But

810
00:35:54,280 --> 00:35:56,759
Speaker 1: then I would have maybe argued, well, they don't know

811
00:35:56,800 --> 00:35:58,759
Speaker 1: how to get places if they'd never been, so they

812
00:35:58,800 --> 00:36:01,960
Speaker 1: can't be real. But then read that you would take

813
00:36:02,000 --> 00:36:05,279
Speaker 1: them places with you and send messages home. So you

814
00:36:05,360 --> 00:36:07,680
Speaker 1: travel out with them and send them back.

815
00:36:07,760 --> 00:36:08,440
Speaker 4: That's so smart.

816
00:36:08,520 --> 00:36:12,840
Speaker 5: So the last pigeon post service in the world closed

817
00:36:12,880 --> 00:36:15,840
Speaker 5: down in two thousand and eight.

818
00:36:17,280 --> 00:36:21,120
Speaker 1: Used by the Romance, Egyptians, and Persians midial period World wars.

819
00:36:21,280 --> 00:36:26,160
Speaker 1: In World War One and two, pigeons save lives. In

820
00:36:26,200 --> 00:36:28,480
Speaker 1: the nineteenth century, newspapers use pigeons to get stock market

821
00:36:28,520 --> 00:36:30,480
Speaker 1: and sports results faster because they'd go to game, just

822
00:36:30,520 --> 00:36:32,160
Speaker 1: stuff and send the pigeon back to the place that

823
00:36:32,239 --> 00:36:33,399
Speaker 1: lived at the newspaper center.

824
00:36:33,600 --> 00:36:36,520
Speaker 11: This is me, But isn't it even like crazier that

825
00:36:36,560 --> 00:36:38,880
Speaker 11: we just stopped using them and now you just have

826
00:36:38,920 --> 00:36:41,040
Speaker 11: a bunch of it. Think about like dogs, we all

827
00:36:41,080 --> 00:36:42,839
Speaker 11: domesticate them, right, and then we all just stopped having

828
00:36:42,880 --> 00:36:44,040
Speaker 11: our dogs that's like pigeons.

829
00:36:44,040 --> 00:36:45,759
Speaker 1: Now, I would say the reason they did is because

830
00:36:45,760 --> 00:36:49,960
Speaker 1: their use was no longer needed. So if mail horses

831
00:36:50,680 --> 00:36:53,160
Speaker 1: mail carriers happened, you don't need the pigeons to do

832
00:36:53,239 --> 00:36:54,800
Speaker 1: it as much. And why would you have a pigeon

833
00:36:54,960 --> 00:36:56,840
Speaker 1: as a pet? Mostly you had as a pet to

834
00:36:56,840 --> 00:36:57,880
Speaker 1: send messages?

835
00:36:58,480 --> 00:37:00,799
Speaker 4: You think the pigeon was like, why am I not

836
00:37:00,840 --> 00:37:01,440
Speaker 4: need it anymore?

837
00:37:01,640 --> 00:37:04,120
Speaker 1: I'm outside, I got fired today, I'm outside pitching. Now,

838
00:37:04,160 --> 00:37:07,839
Speaker 1: what the crap? Yeah? That's wild. Okay, see this was interesting. Yeah,

839
00:37:07,880 --> 00:37:11,480
Speaker 1: I to have No, we had a little room, a little.

840
00:37:11,239 --> 00:37:12,480
Speaker 4: Space for this space.

841
00:37:13,880 --> 00:37:17,359
Speaker 1: So that's the selfish will. Okay, everybody, Okay, you never

842
00:37:17,400 --> 00:37:18,719
Speaker 1: know when the selfish well is gonna come out.

843
00:37:18,760 --> 00:37:20,680
Speaker 4: Oh boy, gotta come up with another one of these.

844
00:37:21,040 --> 00:37:23,000
Speaker 1: No, you don't have to come up with anything. Just

845
00:37:23,040 --> 00:37:24,600
Speaker 1: see where your mind takes you. I encourage you not

846
00:37:24,640 --> 00:37:26,279
Speaker 1: to come up with anything. Just see where your mind

847
00:37:26,280 --> 00:37:32,160
Speaker 1: takes you. Bobby Bone show up today.

848
00:37:32,800 --> 00:37:36,919
Speaker 2: This story comes us from Wisconsin. Hey man broke into

849
00:37:36,920 --> 00:37:39,680
Speaker 2: our house, stole the keys to a BMW, and he

850
00:37:39,800 --> 00:37:42,840
Speaker 2: takes off. Police are called. They see the BMW on

851
00:37:42,840 --> 00:37:47,480
Speaker 2: the highway, high speed chase. He gets in the neighborhood

852
00:37:47,719 --> 00:37:52,400
Speaker 2: ditches the car. Cops can't find him, except footprints in

853
00:37:52,520 --> 00:37:55,680
Speaker 2: the snow lead him to a backyard and there he

854
00:37:55,800 --> 00:37:56,760
Speaker 2: is hiding in the garden.

855
00:37:57,680 --> 00:38:00,279
Speaker 1: What do you do though, Let's say you have still

856
00:38:00,280 --> 00:38:02,359
Speaker 1: the car. All that's done. Okay, you don't still cars

857
00:38:02,440 --> 00:38:05,120
Speaker 1: cudes all the good stuff. Right, you're still the car.

858
00:38:05,160 --> 00:38:06,719
Speaker 1: You gotta get away, You're in the snow. What do

859
00:38:06,760 --> 00:38:07,000
Speaker 1: you do?

860
00:38:07,840 --> 00:38:09,879
Speaker 8: Slither like a.

861
00:38:09,840 --> 00:38:12,440
Speaker 4: Snake but your path was still.

862
00:38:13,719 --> 00:38:15,960
Speaker 1: Everybody in the town freaks out of the gigantic serpent

863
00:38:16,040 --> 00:38:18,759
Speaker 1: now running on? Yeah, I know, but you want to

864
00:38:18,800 --> 00:38:22,719
Speaker 1: do it hastily and slithering. I guess you're unless you're

865
00:38:22,719 --> 00:38:23,520
Speaker 1: really good at the worm.

866
00:38:25,239 --> 00:38:26,000
Speaker 8: I'm just saying that.

867
00:38:26,280 --> 00:38:28,239
Speaker 5: They may be like, oh, yeah, that's like a weird

868
00:38:28,360 --> 00:38:29,640
Speaker 5: or you roll, Like.

869
00:38:30,680 --> 00:38:33,319
Speaker 1: Now we're talking a little more. Rolling makes a little more.

870
00:38:33,360 --> 00:38:34,799
Speaker 4: They still know where you're rolling to.

871
00:38:35,120 --> 00:38:36,800
Speaker 8: I don't know.

872
00:38:37,040 --> 00:38:37,360
Speaker 4: I don't know.

873
00:38:37,440 --> 00:38:38,120
Speaker 1: You track a roll.

874
00:38:38,200 --> 00:38:40,319
Speaker 8: They're gonna be like, where are the footprints. They're not

875
00:38:40,320 --> 00:38:40,799
Speaker 8: gonna be like.

876
00:38:41,600 --> 00:38:45,239
Speaker 1: Yeah, they're not gonna go what's that long five foot

877
00:38:45,360 --> 00:38:47,839
Speaker 1: nine length of wide thing.

878
00:38:48,320 --> 00:38:53,160
Speaker 7: Yeah, even though it's coming from the car, Well.

879
00:38:53,040 --> 00:38:55,240
Speaker 3: It's where the footprints in and the roll begins.

880
00:38:55,280 --> 00:38:57,160
Speaker 1: I think what you have to do, mess up with

881
00:38:57,200 --> 00:38:59,560
Speaker 1: some of the prints. You have to get to like

882
00:38:59,640 --> 00:39:02,440
Speaker 1: a part of a road where there's not as much snow,

883
00:39:02,960 --> 00:39:06,040
Speaker 1: run down it for a second, and then jump into

884
00:39:06,080 --> 00:39:07,240
Speaker 1: where some other people have walked.

885
00:39:07,360 --> 00:39:07,839
Speaker 4: There you go.

886
00:39:08,239 --> 00:39:10,960
Speaker 1: So I think that's what I would probably do quickly.

887
00:39:11,000 --> 00:39:14,279
Speaker 1: I mean, the serpent the snake excellent idea, the role

888
00:39:14,600 --> 00:39:17,360
Speaker 1: not terrible, But I think if I had to think fast,

889
00:39:17,760 --> 00:39:19,880
Speaker 1: I would try to jump on the road where cars

890
00:39:19,920 --> 00:39:23,120
Speaker 1: were real quick, run down it away from the car,

891
00:39:23,880 --> 00:39:26,000
Speaker 1: and then find where other footprints were and use that

892
00:39:26,080 --> 00:39:28,440
Speaker 1: to at least start my run. Right, How do you

893
00:39:28,440 --> 00:39:29,560
Speaker 1: feel like that.

894
00:39:28,840 --> 00:39:29,719
Speaker 8: That could work?

895
00:39:29,800 --> 00:39:30,040
Speaker 1: Okay?

896
00:39:30,120 --> 00:39:31,880
Speaker 5: Or if you could be like can you walk on

897
00:39:31,920 --> 00:39:33,799
Speaker 5: your tippy top tippy toes and then they think you're

898
00:39:33,800 --> 00:39:34,120
Speaker 5: a deer?

899
00:39:34,200 --> 00:39:35,000
Speaker 4: Oh yeah? Or a dog?

900
00:39:37,760 --> 00:39:39,240
Speaker 3: Thank you, lunchbox, I'm lunchbox.

901
00:39:39,239 --> 00:39:41,680
Speaker 2: That's your bonehead story of the day.

902
00:39:42,239 --> 00:39:46,120
Speaker 1: I've been obsessed with this asteroid, and maybe a week

903
00:39:46,120 --> 00:39:47,839
Speaker 1: and a half or so ago, NASA was like, there's

904
00:39:47,880 --> 00:39:50,439
Speaker 1: a one point three percent chance it's gonna hit Earth.

905
00:39:50,800 --> 00:39:53,000
Speaker 1: A few days later they were like, there's a two

906
00:39:53,000 --> 00:39:56,319
Speaker 1: point six percent chance it's gonna hit Earth, and I'm like, well,

907
00:39:56,320 --> 00:39:59,680
Speaker 1: how did that jump so quick? So here is YouTuber

908
00:39:59,680 --> 00:40:02,600
Speaker 1: and sign It's communicator Haint Green talking about this asteroid

909
00:40:02,640 --> 00:40:03,480
Speaker 1: that I've been obsessed with.

910
00:40:03,760 --> 00:40:06,960
Speaker 12: The current NASA projection is that there is a slightly

911
00:40:07,000 --> 00:40:09,600
Speaker 12: more than two percent chance that this object will hit Earth.

912
00:40:09,719 --> 00:40:12,399
Speaker 12: An important additional piece of context because we don't really

913
00:40:12,480 --> 00:40:15,719
Speaker 12: feel this way because we live our lives where we

914
00:40:15,760 --> 00:40:19,240
Speaker 12: live them. Most of the Earth is empty, so about

915
00:40:19,239 --> 00:40:22,839
Speaker 12: three percent of the Earth is cities and a lot

916
00:40:22,880 --> 00:40:25,359
Speaker 12: of the Earth is the ocean. Now we actually know

917
00:40:25,560 --> 00:40:28,479
Speaker 12: where this object if it were to land on Earth.

918
00:40:28,520 --> 00:40:30,799
Speaker 12: We have like an idea of where it would hit.

919
00:40:30,840 --> 00:40:33,080
Speaker 12: It would hit around the equator, and it would hit

920
00:40:33,120 --> 00:40:35,360
Speaker 12: in an area that stretches from South America all the

921
00:40:35,400 --> 00:40:37,840
Speaker 12: way to India. It wouldn't hit in all of those places.

922
00:40:37,880 --> 00:40:39,520
Speaker 12: It would hit in one of those places, and we

923
00:40:39,600 --> 00:40:41,480
Speaker 12: don't know which one it would be. Over the last

924
00:40:41,520 --> 00:40:44,680
Speaker 12: fifty years, we have built up an asteroid monitoring system,

925
00:40:44,880 --> 00:40:48,399
Speaker 12: or like an object monitoring system that figures out where

926
00:40:48,400 --> 00:40:50,160
Speaker 12: stuff is and where it's headed, so that we can

927
00:40:50,200 --> 00:40:52,120
Speaker 12: know when stuff like this is happening. We live in

928
00:40:52,160 --> 00:40:55,800
Speaker 12: a moment where we have very powerful rockets that could

929
00:40:55,960 --> 00:40:57,839
Speaker 12: potentially launch a mission to stop this.

930
00:41:00,000 --> 00:41:03,480
Speaker 1: Fact they have an asteroid monitoring system is crazy, Like,

931
00:41:03,520 --> 00:41:05,359
Speaker 1: who's the first one to go? We figured this out.

932
00:41:05,400 --> 00:41:07,560
Speaker 1: We can monitor an asteroid from five years away and

933
00:41:07,600 --> 00:41:10,160
Speaker 1: know exactly where it's going to land. That's wild that

934
00:41:10,239 --> 00:41:12,600
Speaker 1: we have the technology to do that. Now they have

935
00:41:13,920 --> 00:41:17,680
Speaker 1: like hit an asteroid before and just like moved it

936
00:41:17,719 --> 00:41:22,080
Speaker 1: a little bit, very armagedin style, And they say, this

937
00:41:22,120 --> 00:41:25,239
Speaker 1: one probably won't destroy Earth, but it doesn't mean that

938
00:41:25,280 --> 00:41:27,000
Speaker 1: it won't kill a whole lot of people if it

939
00:41:27,120 --> 00:41:29,520
Speaker 1: lands there because it is large. But again it's only

940
00:41:29,520 --> 00:41:31,279
Speaker 1: two point something percent chance. But the fact that I

941
00:41:31,320 --> 00:41:32,960
Speaker 1: jumped a whole percent blows my mind. And then we

942
00:41:33,000 --> 00:41:35,000
Speaker 1: can monitor where this thing is going blows my mind

943
00:41:35,440 --> 00:41:37,959
Speaker 1: because it's not until twenty thirty two, you know, about

944
00:41:38,000 --> 00:41:38,919
Speaker 1: seven years from now.

945
00:41:39,280 --> 00:41:39,879
Speaker 4: We got time.

946
00:41:40,000 --> 00:41:42,080
Speaker 1: Yeah, but that's what everybody thinks. Until seven years from

947
00:41:42,120 --> 00:41:42,640
Speaker 1: now happens.

948
00:41:42,760 --> 00:41:43,520
Speaker 4: We run out of time.

949
00:41:43,560 --> 00:41:45,480
Speaker 1: That's always Like when they announced the Olympic Cities, You're like, well,

950
00:41:45,480 --> 00:41:46,320
Speaker 1: that happened it forever.

951
00:41:46,480 --> 00:41:48,040
Speaker 3: Next thing you know, they're having the Olympics there.

952
00:41:48,280 --> 00:41:49,879
Speaker 8: Should we live it up the next seven years?

953
00:41:49,960 --> 00:41:50,480
Speaker 4: For sure?

954
00:41:50,680 --> 00:41:53,759
Speaker 1: Well, so again, it's not going to really hit us,

955
00:41:54,080 --> 00:41:57,960
Speaker 1: but it will hit the South America spot. But things

956
00:41:58,000 --> 00:41:59,319
Speaker 1: are going to happen and the people may have to

957
00:41:59,320 --> 00:41:59,920
Speaker 1: come up here.

958
00:42:00,040 --> 00:42:02,400
Speaker 7: Yeah, what do you think about that three percent occupied

959
00:42:03,239 --> 00:42:03,880
Speaker 7: Earth number?

960
00:42:04,160 --> 00:42:07,279
Speaker 1: Kind think though, what they're saying is it can still

961
00:42:07,280 --> 00:42:09,279
Speaker 1: affect the cities. It just may not hit there because

962
00:42:09,280 --> 00:42:12,000
Speaker 1: if it hits that big, it's going to create dust

963
00:42:12,040 --> 00:42:17,160
Speaker 1: and cloud, ocean idle waves. Sure, unless it's like right

964
00:42:17,160 --> 00:42:20,080
Speaker 1: in the middle of the ocean. But I'm fascinated. I

965
00:42:20,120 --> 00:42:22,799
Speaker 1: can't stop watching the story. I'll let you guys know

966
00:42:22,800 --> 00:42:25,279
Speaker 1: if it changes. I'll be watching it every day. You

967
00:42:25,280 --> 00:42:27,319
Speaker 1: get the monitor at some people watch talk Market. I'm

968
00:42:27,320 --> 00:42:28,920
Speaker 1: watching this every single day to see if it goes

969
00:42:29,000 --> 00:42:30,440
Speaker 1: up or down. And we will see you guys tomorrow.

970
00:42:30,480 --> 00:42:31,759
Speaker 3: By everybody.

971
00:42:31,760 --> 00:42:36,680
Speaker 1: Bonez Bones The Bobby Bones Show theme song, written, produced

972
00:42:36,800 --> 00:42:41,160
Speaker 1: and sang by read Yarberry. You can find his instagram

973
00:42:41,200 --> 00:42:47,000
Speaker 1: at read Yarberry, Scuba Steve executive producer, Raymondo, Head of Production.

974
00:42:47,320 --> 00:42:50,759
Speaker 1: I'm Bobby Bones. My instagram is mister Bobby Bones. Thank

975
00:42:50,800 --> 00:42:52,160
Speaker 1: you for listening to the podcast.