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Speaker 1: Wakey, wakey, eggs and baky. It's time for the Bobby

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Speaker 1: Bones pre show. Thank you? Do you say here's Bobby?

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Speaker 1: I don't know. I'm confused because the post show we

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Speaker 1: do that. Here's Bobby over to Bobby. Oh just like that,

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Speaker 1: no audience, Yeah, because it's before the show, so we record.

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Speaker 1: That's before the show. I even start tell everybody I've

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Speaker 1: used it a little bit as get loose for the show.

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Speaker 1: Calis Stenix, maybe it's still a little stretching. Sure, Taylor

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Speaker 1: Swift becomes the richest female musician. She has now hit

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Speaker 1: one point six billion. Oh, she has now surpassed Rihanna

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Speaker 1: one point four billion. However, Taylor's not the richest ever

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Speaker 1: because at one point, Rihanna was worth one point seven

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Speaker 1: seven billion. But right now Taylor Swift is in the

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Speaker 1: lead because apparently Rihanna had a bad night at the tables.

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Speaker 1: She lost well three one hundred million. Oh good, none

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Speaker 1: of the tables would be a bad betting night. Amy,

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Speaker 1: I was kidding.

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Speaker 2: No, I get that, I get the okay, I.

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Speaker 1: Didn't know you didn't laugh. I got a little smirk from.

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Speaker 2: I was thinking, like makeup sales go down.

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Speaker 1: I mean because it literally could be a stock.

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Speaker 3: Or like a purchase.

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Speaker 4: Right, could it be like you you spent something, you

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Speaker 4: bought something for three hundred million.

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Speaker 1: No, because what will happen is this is like networth,

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Speaker 1: not cash in an account. If you buy a three

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Speaker 1: hundred million dollars house, all it does is switch. Now

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Speaker 1: you have the same three hundred million. It's just now

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Speaker 1: on an asset. It's not as op posting right right

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Speaker 1: right now.

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Speaker 3: And I get that. Yeah for su Yeah, I get that.

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Speaker 3: I get this.

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Speaker 5: So I just came across this video of like the

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Speaker 5: Richest Woman, like and it was going through the artist

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Speaker 5: and you would think like, oh, it's Beyonce, it's Taylor,

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Speaker 5: it's Kim Kardashian and the richest woman she actually co

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Speaker 5: founded a roofing company.

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Speaker 2: Oh yeah yeah billions.

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Speaker 1: Like so what it's crazy about? People like make a

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Speaker 1: chip or not a potato, but like a computer chip,

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Speaker 1: a microchip, or they like a a part. Yeah, Like

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Speaker 1: I'm not thinking a trademark. I'm thinking of what's the

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Speaker 1: other one pattern? Yeah, like that there's a patent for

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Speaker 1: like a shoe string, uh, the tape that holds it,

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Speaker 1: and then they make a billion dollars off of it

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Speaker 1: or one hundreds of million, and it's like who has

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Speaker 1: that house?

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Speaker 3: Well, actually, uh huh.

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Speaker 1: What they did is they invented the knuckle pad. Well

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Speaker 1: what's that? Well, when you have a callous on your knuckle,

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Speaker 1: you just put it on. So every doctor stops in

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Speaker 1: me like wow, who even knews?

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Speaker 3: Or like that guy invented poker cards?

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Speaker 1: Words, Yeah, I have something for oh so sore? And

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Speaker 1: are you so sore a little bit? The hamstrings are

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Speaker 1: killing things called ard. Oh let me know. That stands

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Speaker 1: for Russian deadlift. Maybe, I don't know, not been source

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Speaker 1: since Thursdays. I don't know if that's true or not.

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Speaker 1: I have these books that you guys have to read.

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Speaker 4: I know we have to read a book. Yeah, dude,

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Speaker 4: I've read three books in my life.

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Speaker 1: It doesn't matter. This book is not that thick. First

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Speaker 1: of all, it's small like this, and there's like a

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Speaker 1: ton of words. The words are big, I mean, and

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Speaker 1: there's only in the whole thing one hundred and thirty

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Speaker 1: nine pages. You mean, like hard words or like no, no, no,

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Speaker 1: there's not that many words on the page.

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Speaker 6: Oh, they're small.

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Speaker 1: It's a four agreement. So eddie noo and Scuba. I

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Speaker 1: think you guys will really love this book.

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Speaker 3: Us too, Thank you? What about lunchbox naming.

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Speaker 1: You guys are a book called We talked about this

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Speaker 1: on the freaking Show and lunchbox Reddit. No, but you

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Speaker 1: too are Scuba needs it for sure. We give this

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Speaker 1: to Eddie.

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Speaker 2: I think Eddie's just confused because it was about Scuba,

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Speaker 2: and so now he's like.

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Speaker 3: I get roped into the four.

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Speaker 1: I don't remember because you but you said something. Let

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Speaker 1: me give it to you. Don't need to read now, I.

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Speaker 4: Don't want to starting now, he's gonna read the better,

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Speaker 4: read the back to see what it's about.

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Speaker 1: You get well, you all gosh the fact that puts on.

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Speaker 4: His nose Four Agreements, Don Miguel Ruiz, go ahead, Hispanic guy.

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Speaker 4: That's what it reveals, the source of self limiting beliefs

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Speaker 4: that rob us of joy and oh I remember talking

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Speaker 4: about this, Yes, go ahead, based on ancient toul Tech

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Speaker 4: was toul Tech wisdom?

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Speaker 6: You're going to struggle.

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Speaker 3: The Four Agreements.

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Speaker 4: Offer a powerful code of conduct that can rapidly transform

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Speaker 4: our lives to a new experience of freedom, true happiness,

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Speaker 4: and love.

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Speaker 3: The reason is, who doesn't want that?

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Speaker 1: Exactly? The reason it stood out to me, there's a

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Speaker 1: whole thing about not taking anything personal in business, and

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Speaker 1: I thought it'd be great for Scuba to read, and

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Speaker 1: then for you, I just thought it be fun for

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Speaker 1: you to read. Interesting.

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Speaker 6: You just got roped in.

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Speaker 3: It's not that long, La.

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Speaker 1: You're right, it's not that long. I read it every year.

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Speaker 3: There's no pictures, no pictures.

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Speaker 1: There's occasionally a drawing in there, like at the beginning

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Speaker 1: of a chapter, like all drawing of a leaf.

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Speaker 3: One hundred and forty pages.

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Speaker 1: Though, I do think that you will like it, okay,

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Speaker 1: and then I'll check back Monday of next week. Whoa, whoa,

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Speaker 1: I'm telling you one week. You can read it in

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Speaker 1: an hour.

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Speaker 2: In an hour.

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Speaker 1: I read it in like an hour.

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Speaker 2: Yeah. But Eddie and I.

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Speaker 3: Have Yeah, we have DYSLEXI.

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Speaker 1: Hey, don't don't.

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Speaker 5: Blame it on that, because we read a page and

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Speaker 5: then we're like, shoot, well we just read We got

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Speaker 5: to go back and read it again.

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Speaker 1: This book I gave it to him is written backwards,

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Speaker 1: so you'll read it.

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Speaker 4: That's not It's not the problem.

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Speaker 3: Huh.

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Speaker 1: Eddie and I were talking about because that he's doing

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Speaker 1: a Bible thing now where he reads like a versy

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Speaker 1: day or something.

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Speaker 3: Yeah, I read three verses a.

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Speaker 1: Day and he's talking about reading the Bible, and I

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Speaker 1: was like, which version and not King James, but like

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Speaker 1: the one where it's like, yo, yo, Jesus walked up

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Speaker 1: on the hill with the sneaks on that right, and

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Speaker 1: there are a different level because again, even the original

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Speaker 1: to English version was like that, meaning it was written

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Speaker 1: you're my Hebrew. So they had to translate it and

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Speaker 1: make it readable for you know, us West. So they

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Speaker 1: did that originally and their version of doing.

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Speaker 3: That, yeah, and even that was kind of hard with

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Speaker 3: a die and are out.

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Speaker 1: But my point is it's all been a translation to

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Speaker 1: make it digestible for whichever language is reading it. So

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Speaker 1: I always like the ones though they're like yo, Jesus said,

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Speaker 1: drop that beak?

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Speaker 2: What is that one called?

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Speaker 5: There is one Bible in particular, I can't remember what

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Speaker 5: it is at one point and then I was like,

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Speaker 5: I think I'll just go Jesus.

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Speaker 3: The peeps, and he said, yo, here's my bread, let's

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Speaker 3: eat it.

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Speaker 1: And so for some people though, that's the because it's

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Speaker 1: a message. It's a message, and the different books were

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Speaker 1: written sometimes hundreds of years apart, like they're not. It's

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Speaker 1: not like they sat down and wrote them all. Okay,

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Speaker 1: you're all writing at the same time, like hundreds of

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Speaker 1: years apart, not knowing, didn't know each other.

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Speaker 5: Which is why when sometimes the like the what's the world?

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Speaker 5: I get how it sinks out? How they even the

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Speaker 5: opposite of that, it's like, wait, this wasn't even supposed

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Speaker 5: to be, but it's like so in alignment together.

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Speaker 1: Yeah, there's some heavy contradictions too, just because they were

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Speaker 1: written hundreds of years apart. Sure, However, I like the

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Speaker 1: version that's like just check check this thing on. But

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Speaker 1: I was like, any which version of you're reading? If

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Speaker 1: he's reading every day, and he was kind of a mid.

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Speaker 3: One, Yeah, it's kind of in the middle.

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Speaker 1: It's not guilty that he wasn't reading, like because if

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Speaker 1: you're reading the original it's a Hebrew versions whenever two

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Speaker 1: or three translations later. Is the version that like our

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Speaker 1: grandma read to us and like my grandma or the

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Speaker 1: Bible all the way through over and over again, and

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Speaker 1: it was that thou art how and I'm like wow,

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Speaker 1: But that originally was a much lighter version for people

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Speaker 1: to read, much like they've continued to translate the one now,

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Speaker 1: so don't feel bad.

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Speaker 4: What's helpful for me is that the one I'm reading

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Speaker 4: has like a Okay, this is written by this person,

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Speaker 4: and what he's trying to say or he's talking to

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Speaker 4: is here, and like if I didn't have that, I

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Speaker 4: wouldn't know what was happening.

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Speaker 1: Yeah, so that can be helpful. It be tough. It's

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Speaker 1: like Shakespeare. I like the Shakespeare if I'm going and

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Speaker 1: I hated to reading Shakespeare in college. I never knew

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Speaker 1: what they were saying. I could read it and try

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Speaker 1: to memorize some of it, but I never really knew

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Speaker 1: what was going on. Even when I watched, like DiCaprio

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Speaker 1: do the Shakespeare movie back in the day they did

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Speaker 1: in the original Shakespearean and I was like, I don't

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Speaker 1: know what's happening except for their moving their body, and

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Speaker 1: I can kind of translate Romeo and Juliet that's the

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Speaker 1: movie that DiCaprio did. But I would just it would

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Speaker 1: just be words that we didn't use now, and so

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Speaker 1: I would just four out thou yes. So I liked

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Speaker 1: it when they would dumb it down a bit. So

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Speaker 1: this four dumb down not dumb down it's written. I

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Speaker 1: don't want to say dumb, but it's written simplistically because

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Speaker 1: if I can take it and understand it, I think

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Speaker 1: anybody can. It's like digestible big time. When I write

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Speaker 1: my books, they're completely digestible. Not because I'm like I

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Speaker 1: want to dumb it down. Let's learning how I think.

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Speaker 1: And when I written I wrote my first book, I

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Speaker 1: think people were like, let's see if he really wrote

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Speaker 1: this about one chap oh yea yeah, yeah, yahyah oh.

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Speaker 3: He wrote it.

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Speaker 1: Run on sentences, para don't end.

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Speaker 5: When I don't know what to do when I'm writing something,

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Speaker 5: I just go dot dot dot Yeah.

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Speaker 2: I'm like, is this a comma or no?

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Speaker 3: Yes, okay, dot dot dot's great.

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Speaker 1: I would send it off to an editor and she'd

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Speaker 1: be like, hmmm, dot dot dot you understand the difference

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Speaker 1: in colon and semi colon. And she was asking, like

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Speaker 1: in a way of being helpful, and I was like,

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Speaker 1: I do. But when I'm confused, I just do comma.

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Speaker 1: And I said, I think that's how my people are

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Speaker 1: going to read it. Sure, so I'm not going to

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Speaker 1: try to be anything I'm not. And occasionally they would

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Speaker 1: go through and change it i'd notice in the edit

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Speaker 1: they'd put like a colon ers in my colon. But

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Speaker 1: I kid you not in my first book, I'm not lonely.

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Speaker 1: If you're reading this book, it's called bear Bones, It's

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Speaker 1: what it's called. Uh. There are typos still in the

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Speaker 1: book because there were so many typos by me. They

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Speaker 1: didn't catch them all even going through. And I'm sure

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Speaker 1: they have a whole team of going through and finding

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Speaker 1: typos and bad punctuals. There must have been so many,

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Speaker 1: and this is a major publisher. There must have been

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Speaker 1: so many that I think I caught two or three.

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Speaker 1: That's to me, that's like one of my greatest victories.

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Speaker 1: That's cool because when I you can also tell when

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Speaker 1: I tweet or I text or I post on like

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Speaker 1: an Instagram story and I'm writing something, I don't ever

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Speaker 1: go back and look at it again. I wrote something

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Speaker 1: about Rascal Flats. They were on the show last week,

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Speaker 1: and I was like Rascal Flats, and their PR person

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Speaker 1: messaged me and was like, hey, you misspelled.

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Speaker 3: Flat flats.

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Speaker 1: I think I put one t so then on the

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Speaker 1: next one I put it. I didn't go back and

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Speaker 1: change it. I just put on the next green hat

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Speaker 1: looks like I did a I had a typo there

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Speaker 1: Rascal flats and spelled it right, but then I wrote

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Speaker 1: thank you and that and thank you was misspelled. There

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Speaker 1: was the wrong. Yeah, I think, oh yeah, it happened.

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Speaker 1: It does Hurricane Milton, which, by the way, we're in

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Speaker 1: the middle of Helene and all the upkeep and the

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Speaker 1: rebuild and still saving people, and then Milton is expected

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Speaker 1: to slam into western Florida on Wednesday as a major hurricane.

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Speaker 1: It looks as if, according to the model, like it's

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Speaker 1: kind of like a category of three over near Tampa.

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Speaker 1: Well that's what it looks like now, not that it

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Speaker 1: can't change, but yeah, that's what's up there.

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Speaker 2: It's so terrible.

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Speaker 1: But that's not the caseuters.

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Speaker 5: Yeah, people that lost their cars in Helene. It's like

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Speaker 5: evacuating isn't as It's like, you know, I was just

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Speaker 5: watching this one person in particular that's been very involved.

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Speaker 5: She's an er doctor that I've been following on Instagram,

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Speaker 5: and she does she gives really helpful information. Her house

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Speaker 5: was completely flooded. She's been doing what she needs to

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Speaker 5: do to stay ahead, and she's trying to encourage people

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Speaker 5: like leave if you can. She's like that, I understand

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Speaker 5: what's so difficult. Some people have lost all of their

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Speaker 5: things and leaving is not as easy for them to do.

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Speaker 1: And even if you haven't lost anything, let's say it's

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Speaker 1: on the way, some people can't afford to leave during

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Speaker 1: gas you don't have money to go stay in a hotel, Like,

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Speaker 1: it is not as easy to just okay, it's being evacuated,

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Speaker 1: and you would like to go evacuate, and you'd like

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Speaker 1: to think you have an aunt somewhere or a cousin

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Speaker 1: or a friend four hundred miles up. Sometimes you don't

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Speaker 1: have the money to pay for gas. Sometimes you don't

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Speaker 1: have the money for a hotel stay, and so you

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Speaker 1: have to stay. And so some many people get irritated

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Speaker 1: at people like that. I'm like, man, you must have

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Speaker 1: never been broke, because there's a storm coming. When I

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Speaker 1: was a kid, different storm and we were landlocked, and

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Speaker 1: they were like evacuate. We never had that tornadoes would come.

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Speaker 3: But those are like quick, you don't even know they're coming.

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Speaker 1: I mean the weather. You could think, well there's a

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Speaker 1: chance of a watch. Sure, yeah, no way. The crazy

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Speaker 1: number of burgers the McDonald sells every day revealed. A

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Speaker 1: new report is revealed just how many Patty's flaff the

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Speaker 1: girl a McDonald's every day. The takeout did the quote

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Speaker 1: McMath looking at reports that the fast food chain sold

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Speaker 1: nearly six point five billion burgers in twenty twenty one.

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Speaker 1: More specifically, they looked at the offense side at statistic

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Speaker 1: that are about seventy five hamburgers are sold per second

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Speaker 1: and says, oh, all around. It's not one restaurant, but

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Speaker 1: around the country, McDonald's in a day sells about six

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Speaker 1: point four eight million burgers in a day just of

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Speaker 1: all the stores.

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Speaker 6: That is insane.

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Speaker 1: That's just a lot of meat.

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Speaker 3: It's a lot of meat.

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Speaker 1: A lot of cows a day. That's a lot of meat.

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Speaker 1: That's a lot of cows.

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Speaker 3: You think about that.

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Speaker 1: See, that's where we like to hear, like how many

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Speaker 1: cows are being affected by this, because it's like when

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Speaker 1: somebody goes you with the eight forty million pounds wings

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Speaker 1: on Super Bowl Sunday, that means something to me. How

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Speaker 1: many people are eating it? I want to know per

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Speaker 1: how many person per wing? You need to like get

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Speaker 1: all the way down.

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Speaker 3: And that's just McDonald's, man. I know there's a lot

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Speaker 3: of cows.

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Speaker 1: I need to know cows.

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Speaker 5: I don't want to I don't really want to know either,

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Speaker 5: because then it's a lot of cows.

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Speaker 1: What's also why I don't watch those documentaries on not

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Speaker 1: eating meat.

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Speaker 3: What was the one about, I don't know.

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Speaker 1: I don't even think about it.

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Speaker 3: Supersized, supersize me McDonald's.

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Speaker 1: Well, that wasn't about not eating no, no, no, no. That

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Speaker 1: was eating McDonald's for a year every day.

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Speaker 6: But then it turned out to be real.

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Speaker 1: It turned out that's something something he wasn't extremely accurate

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Speaker 1: about it. Yeah, Michael now acohol. He was an alcoholic

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Speaker 1: at the time, So but what would that have to

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Speaker 1: do with anything.

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Speaker 7: It was a lot of effects alcoholism.

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Speaker 1: Oh so when he was getting sick, it could have

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Speaker 1: been some of the effects of alcoholism on his body,

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Speaker 1: not just.

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Speaker 3: Heading McDonald's every day Donalds? Was that his experiment to.

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Speaker 6: See what I think he was to see what it

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Speaker 6: does with his body. And he was liked for how

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Speaker 6: many days? I think his name was Morgan Spurlock.

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Speaker 1: And he died recently.

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Speaker 3: Oh he did, uh.

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Speaker 6: Huh, that's why I gave him a rest in peace.

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Speaker 6: At the beginning.

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Speaker 1: Oh, I didn't hear that it had you not said that,

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Speaker 1: would he have not been.

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Speaker 6: Well, I'm just saying I was just yeah, like.

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Speaker 1: Was he like rolling around and I can't get restless?

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Speaker 1: And then lunchboxes he goes.

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Speaker 2: No, but that was his indicator that he sin.

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Speaker 6: Yeah.

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Speaker 1: A Virginia woman who called her family to tell them

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Speaker 1: she struck out at the casino had to call back

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Speaker 1: right after that, saying, I just want fifty thousand dollars

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Speaker 1: from the lottery. The Alexandra Woment told Maryland Lottery officials

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Speaker 1: she visited a casino where she failed to win any money.

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Speaker 1: Then she got to I've gotta scratch off ticket, and

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Speaker 1: then she hit fifty thousand dollars.

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Speaker 3: It's just meant to be, it is.

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Speaker 1: It's just I don't think it's meant to be. I

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Speaker 1: think she bought another ticket. What about everybody who does

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Speaker 1: this who doesn't hit, and it's like.

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Speaker 3: We don't hear about them.

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Speaker 1: It's like one more role, I'm gonna go and get

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Speaker 1: a ticket and they don't hit.

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Speaker 3: But it wasn't meant to be for them.

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Speaker 1: Yeah, And I think you can assign meant to be

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Speaker 1: anything ever in the history of the world.

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Speaker 2: Right, what was meant to be for them was to

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Speaker 2: lose it.

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Speaker 6: And there's another example of fight, grind, repeat, never give up.

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Speaker 6: Like it's like she was, she was on the way

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Speaker 6: overco or whatever she was losing. She was like, you

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Speaker 6: know what, quitters never wins. I'm gonna keep playing.

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Speaker 1: Book And I understand, okay, fair, I'll give that to her.

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Speaker 1: But I think in this scenario that is not the

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Speaker 1: proper strategy because more people than not, way more people

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Speaker 1: than not are going to continue to lose.

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Speaker 3: It's called chasing.

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Speaker 1: When yeah, yeah, chasing.

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00:14:54,760 --> 00:14:55,520
Speaker 3: Yeah, we've been there.

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Speaker 1: I think I'm gonna have kick off, Kevin, go do

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00:14:56,920 --> 00:15:00,280
Speaker 1: my DraftKings. Oh from the beginning of this year come

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00:15:00,400 --> 00:15:01,040
Speaker 1: up so much?

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Speaker 3: Really, I think, so wow, that's cool.

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Speaker 7: Man.

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Speaker 1: It's hard. Oh yeah, it's impossibly so hard.

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Speaker 2: I know, but you're oddly I'm not.

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Speaker 3: But this is different than it's different.

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Speaker 1: This is different if you can win like fifty four

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Speaker 1: percent of the time, like that is that that's a

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Speaker 1: big winning year and that there. I like to use

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00:15:21,040 --> 00:15:24,320
Speaker 1: DraftKings for entertainment purposes. It's fun and I'll never bet

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Speaker 1: more than I can handle losing, right, But I think

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00:15:26,680 --> 00:15:29,760
Speaker 1: this year I'm having an abnormally good year, mostly because

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Speaker 1: Arkansas is covering even when they're losing. Like I bet

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Speaker 1: two hundred and fifty bucks an Arkansas money line versus

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Speaker 1: Tennessee and I won like thirteen hundred dollars.

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Speaker 3: Yeah, it's huge.

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Speaker 1: And then I bet like a thousand bucks Arkansas plus

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Speaker 1: fourteen and obviously they won, so I won like two grand.

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Speaker 1: The week before I won like four grand off Arkansas

390
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Speaker 1: and they lost, but I bet them play with the points.

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Speaker 1: He's still covered.

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Speaker 4: See, so it does help when your team wins like

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Speaker 4: that or covers like that.

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Speaker 1: Bucks and the Cowboys they were they were plus two.

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Speaker 3: Yeah they were. They were not favorite.

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Speaker 1: And I went to sleep, didn't even know won the game.

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Speaker 1: Woke up, saw Dak and CD fighting.

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Speaker 3: Do you want me to tell you who?

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Speaker 5: Oh?

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00:16:04,320 --> 00:16:06,200
Speaker 1: I know because I saw my draft games. I mean

401
00:16:06,240 --> 00:16:07,600
Speaker 1: I looked at the score. I looked at the score.

402
00:16:07,640 --> 00:16:10,200
Speaker 1: Obviously it was awesome, but I was like, I feel

403
00:16:10,240 --> 00:16:13,280
Speaker 1: like the Cowboys get into points with a Pittsburgh offense

404
00:16:13,280 --> 00:16:16,920
Speaker 1: that can't score. And then there was a lightning to lay.

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Speaker 1: So I fell asleep.

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Speaker 4: Yeah it's late. It didn't end till like midnight, hard time.

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Speaker 4: Watch you watch it oh yeah you did. Of course

408
00:16:25,840 --> 00:16:27,320
Speaker 4: the Cowboys when we're gonna do go to bed.

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Speaker 6: Yes, I know.

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Speaker 3: I mean you can't like I could. I can't do that.

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Speaker 1: I would say if it were conference tournament. It's a

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Speaker 1: double A basketball tournament. I would if it were playout

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00:16:40,800 --> 00:16:42,520
Speaker 1: colleg football playoffs. That's what I look forward to.

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00:16:42,760 --> 00:16:42,920
Speaker 3: Now.

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00:16:43,160 --> 00:16:44,520
Speaker 1: I hear you, I hear you. But I mean it's

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Speaker 1: like week five. I know you got good for you.

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Speaker 1: I'm talking about me. I think I probably would.

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Speaker 4: Have, really if the Razorbacks were going and then it's

419
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Speaker 4: like it just it was just delayed.

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Speaker 1: You're right, I probably would.

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Speaker 5: Uh.

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00:16:56,080 --> 00:16:58,000
Speaker 1: The makers of Terrifier three are doing everything they can

423
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Speaker 1: to convince you that it's the nastiest thing you love. See.

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Speaker 1: Amy watched Terrifier too, loved it.

425
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Speaker 5: I didn't love it. I was forced to go and

426
00:17:05,760 --> 00:17:06,520
Speaker 5: it was horrible.

427
00:17:06,880 --> 00:17:09,560
Speaker 1: I remember it differently, but okay, I supposedly eleven people

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Speaker 1: walked out. One person barfed. But this was their whole

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00:17:11,960 --> 00:17:13,280
Speaker 1: marketing for num Well.

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Speaker 2: And I didn't throw up when I was there.

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Speaker 3: These were the movies she was supposed to watch.

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Speaker 1: No, no, no, no. It was between She went to the

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Speaker 1: theater and had to watch this because it was like

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Speaker 1: the one that made everybody throw up, that's right, And

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Speaker 1: so she took her daughter to watch it.

436
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Speaker 2: Well, I got put on the wheel or something.

437
00:17:26,160 --> 00:17:29,040
Speaker 1: Yes, and then the ones that she had to watch

438
00:17:29,080 --> 00:17:31,440
Speaker 1: were saw and she watched all the saws.

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00:17:31,520 --> 00:17:32,600
Speaker 2: There's ten of those.

440
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Speaker 3: I saw that they're making a new smile.

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Speaker 1: I don't know what that is.

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Speaker 3: You haven't seen that.

443
00:17:37,080 --> 00:17:37,520
Speaker 1: You remember that?

444
00:17:37,600 --> 00:17:38,840
Speaker 4: I mean I never saw it, but you remember they

445
00:17:38,840 --> 00:17:40,960
Speaker 4: were doing promotions where like they would just smile.

446
00:17:41,080 --> 00:17:45,400
Speaker 1: And then I remember like the World series, like yeah,

447
00:17:45,520 --> 00:17:47,520
Speaker 1: creepy woman in the crowd to be smile.

448
00:17:47,440 --> 00:17:49,600
Speaker 3: Yes, and then like smile the movie because I know.

449
00:17:49,560 --> 00:17:51,359
Speaker 1: You've seen it because that's one of the guys.

450
00:17:51,480 --> 00:17:53,240
Speaker 3: Yeah, right before they died, they get a big smile

451
00:17:53,320 --> 00:17:53,800
Speaker 3: on their face.

452
00:17:53,840 --> 00:17:56,040
Speaker 1: He and pill or one of those guys, right, No, oh,

453
00:17:56,040 --> 00:17:58,760
Speaker 1: that's not one of themally different. Oh, I'm stupid. I'm stupid, idio.

454
00:17:58,800 --> 00:18:00,720
Speaker 1: Hope you guess forgive me, you're not stupid.

455
00:18:00,800 --> 00:18:04,199
Speaker 7: Okay, So what happens They there's like a curse and

456
00:18:04,280 --> 00:18:06,720
Speaker 7: whenever it gets put on, a person starts messing with

457
00:18:06,760 --> 00:18:08,480
Speaker 7: their mind and then they end up killing themselves. But

458
00:18:08,560 --> 00:18:11,400
Speaker 7: right before they need a big smile and it's straight horror. Yeah,

459
00:18:11,400 --> 00:18:13,159
Speaker 7: and then it jumps to other people and did you

460
00:18:13,280 --> 00:18:15,520
Speaker 7: like it? I like the first one. It was a

461
00:18:15,520 --> 00:18:17,320
Speaker 7: little bit boring in the middle, but this one looks

462
00:18:17,320 --> 00:18:17,800
Speaker 7: a lot better.

463
00:18:19,080 --> 00:18:20,320
Speaker 1: Got it.

464
00:18:20,320 --> 00:18:23,000
Speaker 4: It's gross, gross, like there's smile.

465
00:18:23,040 --> 00:18:23,840
Speaker 1: It's total fiction.

466
00:18:24,520 --> 00:18:26,520
Speaker 3: It's not real it'.

467
00:18:27,359 --> 00:18:28,800
Speaker 2: I know, but it's just total fiction.

468
00:18:29,200 --> 00:18:31,600
Speaker 5: Just even I don't even thinking of that. I'm just like, oh,

469
00:18:32,000 --> 00:18:34,080
Speaker 5: you get this thing and then you smile and then

470
00:18:34,160 --> 00:18:34,800
Speaker 5: kill yourself.

471
00:18:34,920 --> 00:18:37,200
Speaker 1: I have to talk my wife at times through because

472
00:18:37,240 --> 00:18:40,119
Speaker 1: she's such an EmPATH and remind her I don't want you.

473
00:18:40,160 --> 00:18:42,880
Speaker 1: We don't watch horror movies, but it's even empathy extreme.

474
00:18:43,440 --> 00:18:46,080
Speaker 1: And if we're watching any sort of show, she'll start

475
00:18:46,119 --> 00:18:48,320
Speaker 1: to feel really bad for the characters if they're going

476
00:18:48,359 --> 00:18:50,600
Speaker 1: through something. And I'm like fiction fiction fiction, not true

477
00:18:50,680 --> 00:18:53,600
Speaker 1: fiction fiction, but she'll like feel super sad. She's like,

478
00:18:53,640 --> 00:18:55,240
Speaker 1: oh my god, and I'm like, this is not true,

479
00:18:55,320 --> 00:18:57,879
Speaker 1: not true, not true. If shows are so good, you

480
00:18:57,920 --> 00:19:01,119
Speaker 1: do it, definitely get caught up and haven't motion. But

481
00:19:01,320 --> 00:19:04,680
Speaker 1: I have to be like fiction fiction fiction fiction. All right,

482
00:19:04,760 --> 00:19:06,600
Speaker 1: So we got to go to the show Ray How

483
00:19:06,600 --> 00:19:09,680
Speaker 1: long was the pre is? It called like the sandwich Show.

484
00:19:09,680 --> 00:19:11,240
Speaker 1: I'm trying to think of a name different. It goes

485
00:19:11,320 --> 00:19:12,399
Speaker 1: up on it. Do you know what you called the

486
00:19:12,440 --> 00:19:12,920
Speaker 1: sandwich show?

487
00:19:12,960 --> 00:19:15,879
Speaker 4: Yeah, hot dog went on top one of the bottom

488
00:19:16,200 --> 00:19:17,240
Speaker 4: sandwich show in the middle.

489
00:19:17,760 --> 00:19:20,560
Speaker 1: You're right in me, but a hot dog sandwich and

490
00:19:20,560 --> 00:19:21,159
Speaker 1: you say hot.

491
00:19:21,040 --> 00:19:22,560
Speaker 3: Dog, Well, isn't a hot dog a sandwich?

492
00:19:22,680 --> 00:19:23,160
Speaker 6: Bable?

493
00:19:23,240 --> 00:19:27,159
Speaker 1: But not anybody would get that it's not because I

494
00:19:27,200 --> 00:19:29,640
Speaker 1: would say, I would argue that it is, but.

495
00:19:29,520 --> 00:19:31,600
Speaker 2: There's not a top or bottom because most people don't.

496
00:19:31,600 --> 00:19:35,000
Speaker 5: You eat a hot dog with the buns to the side.

497
00:19:35,119 --> 00:19:37,200
Speaker 1: People also eat pizza bou folding and half. That's also

498
00:19:37,320 --> 00:19:40,720
Speaker 1: not wrong. It's weird, but not wrong. I would I

499
00:19:40,760 --> 00:19:42,720
Speaker 1: don't want to get the fight, don't. I don't care not, Okay,

500
00:19:42,800 --> 00:19:45,280
Speaker 1: it's a sandwich fue No, Yeah, but I would say

501
00:19:45,280 --> 00:19:46,120
Speaker 1: it's like the sandwich Show.

502
00:19:46,400 --> 00:19:49,320
Speaker 4: And because the pree's on the top and the meats

503
00:19:49,359 --> 00:19:50,480
Speaker 4: in the middle the show.

504
00:19:50,680 --> 00:19:51,440
Speaker 1: It's the top bun.

505
00:19:51,520 --> 00:19:51,720
Speaker 3: Yeah.

506
00:19:51,840 --> 00:19:53,159
Speaker 1: And then we did the bat but there's really no

507
00:19:53,200 --> 00:19:54,159
Speaker 1: meat unless that's commercial.

508
00:19:54,320 --> 00:19:56,440
Speaker 4: And we did argue about which one should be the

509
00:19:56,440 --> 00:19:57,520
Speaker 4: bottom bune because.

510
00:19:58,440 --> 00:20:00,480
Speaker 5: Because when you bite into it, you're biden into the

511
00:20:00,520 --> 00:20:02,800
Speaker 5: top bun first but I didn't.

512
00:20:02,560 --> 00:20:04,400
Speaker 1: Even really win the argument. One of them that too,

513
00:20:04,480 --> 00:20:05,960
Speaker 1: was like, I don't care enough.

514
00:20:06,040 --> 00:20:08,760
Speaker 6: But really, are you biting into the butt on top first?

515
00:20:08,800 --> 00:20:10,600
Speaker 6: Because your bottom teeth are touching the bottom bun.

516
00:20:11,600 --> 00:20:13,360
Speaker 1: I think when you bite it, your teeth hits down

517
00:20:13,600 --> 00:20:22,000
Speaker 1: top butt bun first. They not you. That's why you're

518
00:20:22,040 --> 00:20:25,160
Speaker 1: thinking of overbite. If it's the chin, if that's over

519
00:20:25,280 --> 00:20:26,480
Speaker 1: the top, that's an overbite.

520
00:20:26,600 --> 00:20:28,520
Speaker 2: In fact, I had an underbyte as a child, and.

521
00:20:28,440 --> 00:20:32,280
Speaker 4: Obviously this is it called an underbyte, like Stanley has

522
00:20:32,280 --> 00:20:32,840
Speaker 4: an underbite.

523
00:20:32,920 --> 00:20:35,760
Speaker 5: Yeah, yeah, it was like Stanley. It's like I had

524
00:20:35,760 --> 00:20:36,560
Speaker 5: to wear a retainer.

525
00:20:36,960 --> 00:20:38,840
Speaker 1: You had a bow a bow tie right now? He

526
00:20:38,920 --> 00:20:42,480
Speaker 1: does always funny Now when you got we have this

527
00:20:42,520 --> 00:20:44,000
Speaker 1: woman that comes out once a month and does like

528
00:20:44,000 --> 00:20:46,520
Speaker 1: grooming on them. You should put a bow tie on him.

529
00:20:46,560 --> 00:20:46,960
Speaker 3: I love it.

530
00:20:46,960 --> 00:20:48,639
Speaker 1: He won't take it off. He loves it. Look himself

531
00:20:48,680 --> 00:20:50,720
Speaker 1: in the mirror all day. All right, let's take a break.

532
00:20:51,720 --> 00:20:56,040
Speaker 1: Good's time for the Bobby Bones post show. Here's your host,

533
00:20:56,560 --> 00:21:05,879
Speaker 1: Bobby Bone. So Taylor was at Travis Kelcey's game last night,

534
00:21:05,920 --> 00:21:09,720
Speaker 1: but she wasn't at his birthday party. Thoughts any at all?

535
00:21:10,240 --> 00:21:14,119
Speaker 5: No, I think that they're still together. But a birthday

536
00:21:14,200 --> 00:21:14,960
Speaker 5: is kind of a good deal.

537
00:21:15,200 --> 00:21:16,880
Speaker 1: Yeah, but who knows. She may have had an obligation

538
00:21:16,960 --> 00:21:19,359
Speaker 1: that she could. I'm sure the obligations that someone like

539
00:21:19,400 --> 00:21:21,320
Speaker 1: Taylor Swift has and.

540
00:21:21,280 --> 00:21:23,000
Speaker 2: They can celebrate her privately.

541
00:21:23,200 --> 00:21:26,199
Speaker 1: Sure, does it change your mind at all?

542
00:21:26,359 --> 00:21:26,439
Speaker 5: No?

543
00:21:27,119 --> 00:21:28,800
Speaker 1: I felt like she looked pretty happy. This wasn't a

544
00:21:28,800 --> 00:21:30,800
Speaker 1: little trick play that ran last night? Totally, she's all

545
00:21:30,840 --> 00:21:34,800
Speaker 1: about it. Yeah, yeah, Chiefs won last night. Nobody cares.

546
00:21:35,640 --> 00:21:38,440
Speaker 1: I liked her outfit, but yeah, yeah, I guess I

547
00:21:38,480 --> 00:21:39,640
Speaker 1: don't remember what did she wear?

548
00:21:40,160 --> 00:21:42,679
Speaker 5: Something like y'all remember trick plays, and I'm like her

549
00:21:42,760 --> 00:21:43,960
Speaker 5: dress was cute.

550
00:21:44,600 --> 00:21:47,240
Speaker 1: That's good. I was up like three points going in

551
00:21:47,280 --> 00:21:50,160
Speaker 1: the last night and ended up winning. It's pretty good.

552
00:21:50,680 --> 00:21:51,119
Speaker 2: So you won?

553
00:21:51,840 --> 00:21:52,879
Speaker 3: You're doing all right today?

554
00:21:53,240 --> 00:21:53,400
Speaker 5: Well?

555
00:21:53,440 --> 00:21:55,480
Speaker 1: I won Fantasy. I won both. I hate playing in

556
00:21:55,520 --> 00:21:57,840
Speaker 1: two leagues. It's the most annoying thing because sometimes you're

557
00:21:57,840 --> 00:21:59,280
Speaker 1: playing against people that's on your team and that I'm

558
00:21:59,320 --> 00:22:01,200
Speaker 1: torn and I just don't even watch that game because

559
00:22:01,240 --> 00:22:04,400
Speaker 1: I don't know who. So but yeah, nobody cares about

560
00:22:04,400 --> 00:22:07,520
Speaker 1: Boose fantasy teams. But the Chiefs want to get the

561
00:22:07,640 --> 00:22:12,040
Speaker 1: five And oh do you care No, definitely not. Look

562
00:22:12,040 --> 00:22:13,919
Speaker 1: at her outfit. Oh there's no Travis kelcey on it,

563
00:22:13,960 --> 00:22:15,679
Speaker 1: no jersey or anything. So does that mean they're broken up?

564
00:22:15,720 --> 00:22:15,880
Speaker 7: Oh?

565
00:22:16,000 --> 00:22:19,119
Speaker 1: No, that her outfit is like a plaid with tall dues.

566
00:22:19,320 --> 00:22:21,800
Speaker 3: She usually wears a jersey something chief something chiefs.

567
00:22:22,040 --> 00:22:23,399
Speaker 2: Yeah, but plots a thing right now.

568
00:22:23,400 --> 00:22:24,640
Speaker 1: I don't see anything chief though.

569
00:22:25,240 --> 00:22:27,160
Speaker 6: The fact that she went at the birthday party, guys,

570
00:22:27,160 --> 00:22:29,280
Speaker 6: that is if you guys don't think that's obvious that

571
00:22:29,320 --> 00:22:30,080
Speaker 6: they are not together?

572
00:22:30,280 --> 00:22:31,119
Speaker 2: Why go to the game?

573
00:22:31,440 --> 00:22:31,640
Speaker 1: Yeah?

574
00:22:31,640 --> 00:22:31,760
Speaker 3: Why?

575
00:22:31,840 --> 00:22:33,479
Speaker 1: And she's missed other games, so it would it be

576
00:22:33,480 --> 00:22:34,040
Speaker 1: like a big deal.

577
00:22:34,240 --> 00:22:36,760
Speaker 4: Wasn't it like a specific birthday party, like thrown by

578
00:22:36,760 --> 00:22:37,720
Speaker 4: a charity or something.

579
00:22:37,800 --> 00:22:40,840
Speaker 1: Yeah, I don't know it was Joy didn't go to

580
00:22:40,880 --> 00:22:44,439
Speaker 1: the birthday party. But again, there are certain obligations that

581
00:22:44,480 --> 00:22:47,480
Speaker 1: people have, like a tailor that's probably set a year out.

582
00:22:47,720 --> 00:22:50,159
Speaker 1: I mean, I have things I hate when this happens.

583
00:22:50,160 --> 00:22:52,560
Speaker 1: But somebody will go, hey, can you do what's today?

584
00:22:52,560 --> 00:22:56,920
Speaker 1: October eighth? Somebody go, hey, April thirteenth, would you be

585
00:22:56,960 --> 00:22:58,959
Speaker 1: able to speak at this thing? And I'm like, April thirteen,

586
00:22:59,040 --> 00:23:01,440
Speaker 1: that'll never happen. Yeah, why not? I'll never get here

587
00:23:02,480 --> 00:23:04,880
Speaker 1: and then April first comes and they're like, hey, don't

588
00:23:04,920 --> 00:23:07,320
Speaker 1: forget into it. Oh my god, I committed that.

589
00:23:08,520 --> 00:23:08,840
Speaker 3: Yeah.

590
00:23:08,880 --> 00:23:12,119
Speaker 1: And then sometimes I'll get booked for like a private show,

591
00:23:12,600 --> 00:23:16,080
Speaker 1: and they'll do that eighteen months out and it's not

592
00:23:16,200 --> 00:23:20,200
Speaker 1: like three months pre I can cancel. So and that's

593
00:23:20,240 --> 00:23:22,720
Speaker 1: just me. It's a little old me. Can you imagine Taylor's.

594
00:23:22,320 --> 00:23:24,720
Speaker 3: How long have they been dating? I don't know, two years?

595
00:23:25,320 --> 00:23:28,080
Speaker 2: No, was it last year? The first football season that.

596
00:23:28,080 --> 00:23:32,800
Speaker 1: She probably like, we're gonna be ten months or so? Okay,

597
00:23:33,080 --> 00:23:35,800
Speaker 1: so year and a half summer of twenty twenty three,

598
00:23:37,080 --> 00:23:39,000
Speaker 1: So yeah, I think about fifteen sixteen months.

599
00:23:39,000 --> 00:23:40,879
Speaker 3: I mean, guys, how do you think this isn't real?

600
00:23:41,440 --> 00:23:44,879
Speaker 1: But they're confirmed it then, so that means they probably

601
00:23:44,920 --> 00:23:48,159
Speaker 1: were dating a little longer than that exactly. Anyway, I

602
00:23:48,160 --> 00:23:50,240
Speaker 1: just wanted to watch that. A ten year old boys

603
00:23:50,320 --> 00:23:53,119
Speaker 1: charge after driving a stolen car near a crowded playground.

604
00:23:54,080 --> 00:23:56,240
Speaker 1: Minneapolis police arrested a ten year old boy last month

605
00:23:56,240 --> 00:23:59,160
Speaker 1: for allegedly driving a stolen vehicle near this school playground.

606
00:23:59,160 --> 00:24:01,399
Speaker 1: It was captured on video. Marked the third arrest for

607
00:24:01,440 --> 00:24:04,080
Speaker 1: this child, and he's also the suspect in a dozen

608
00:24:04,119 --> 00:24:06,720
Speaker 1: cases ranging from auto theft to robbery. So this kid

609
00:24:06,720 --> 00:24:11,320
Speaker 1: doesn't have a good parental system. So where it goes

610
00:24:11,359 --> 00:24:14,280
Speaker 1: from like haha, a little kid driving car to you

611
00:24:14,320 --> 00:24:15,760
Speaker 1: hear about all this stuff when you're like, man, he

612
00:24:15,800 --> 00:24:18,400
Speaker 1: has nobody to lead him and probably also terrible influences.

613
00:24:19,040 --> 00:24:21,040
Speaker 1: That's gonna not set him up well for the rest

614
00:24:21,040 --> 00:24:23,200
Speaker 1: of his life unless somebody's able to grab hold the

615
00:24:23,240 --> 00:24:26,960
Speaker 1: situation quote. It's unfathomabed that a ten year old boy

616
00:24:27,119 --> 00:24:30,600
Speaker 1: has been evolved in this level of criminal activity without

617
00:24:30,640 --> 00:24:33,359
Speaker 1: effective intervention. Charges have been filed against the boy, but

618
00:24:33,400 --> 00:24:35,440
Speaker 1: further details are withheld due to his age. The boy's

619
00:24:35,480 --> 00:24:38,920
Speaker 1: family is cooperating with authorities and has asked for help

620
00:24:39,320 --> 00:24:40,600
Speaker 1: further harm ABC seven.

621
00:24:41,040 --> 00:24:42,679
Speaker 4: At first I thought he saw like a car that

622
00:24:42,720 --> 00:24:44,639
Speaker 4: was empty when it took it for a joy, right,

623
00:24:44,720 --> 00:24:45,600
Speaker 4: But well, that's funny.

624
00:24:45,800 --> 00:24:48,520
Speaker 1: That's funny when nobody gets hurt. A small kid driving

625
00:24:48,520 --> 00:24:50,080
Speaker 1: a big car down the road. He's the top of

626
00:24:50,080 --> 00:24:52,159
Speaker 1: his head and his feet can barely reach the pedals,

627
00:24:52,160 --> 00:24:55,520
Speaker 1: but nobody gets hurt. That's funny. This is that this

628
00:24:55,840 --> 00:24:58,680
Speaker 1: turns into not funny real quick when it it's something

629
00:24:58,720 --> 00:25:03,240
Speaker 1: over and over and over again. An Airline apologizes. So

630
00:25:03,280 --> 00:25:07,119
Speaker 1: they showed they showed a movie on the airplane. They're like,

631
00:25:07,200 --> 00:25:09,960
Speaker 1: this is the movie we're gonna show, which I don't

632
00:25:09,960 --> 00:25:12,639
Speaker 1: see many planes doing that anymore. Now you choose what

633
00:25:12,640 --> 00:25:15,080
Speaker 1: you want. Yeah, the little screens are on the back

634
00:25:15,320 --> 00:25:17,479
Speaker 1: or like Southwest, you can watch it's free. You can

635
00:25:17,520 --> 00:25:19,760
Speaker 1: watch TV or movies for free on your phone. Even

636
00:25:21,040 --> 00:25:25,560
Speaker 1: but Quantus Airlines has apologized after the movie they showed.

637
00:25:26,080 --> 00:25:29,399
Speaker 1: It was called Daddy O Starting Dakota Johnson, which already

638
00:25:29,440 --> 00:25:31,560
Speaker 1: that name sounds like probably there's gonna be some sex.

639
00:25:33,000 --> 00:25:34,520
Speaker 2: Daddy, maybe Daddy.

640
00:25:35,880 --> 00:25:43,280
Speaker 1: Daddy No forty minutes of penis and boobs stop. Basically yeah, yeah, yeah, yeah.

641
00:25:43,320 --> 00:25:45,800
Speaker 1: The flight from Sydney to Japan showed the beginning of

642
00:25:45,840 --> 00:25:50,520
Speaker 1: Daddy O starting Dakota Johnson. Choose the fifty so individual

643
00:25:50,520 --> 00:25:53,680
Speaker 1: selection from passenger seats weren't available because of a technical issue,

644
00:25:53,760 --> 00:25:55,800
Speaker 1: so I guess they did have it, and usually they

645
00:25:55,840 --> 00:25:59,159
Speaker 1: do allow them to pick individual seat screens. Something was wrong,

646
00:25:59,400 --> 00:26:01,200
Speaker 1: so they said, hey, because of that, we're gonna show

647
00:26:01,200 --> 00:26:01,920
Speaker 1: you Daddy. Oh.

648
00:26:02,119 --> 00:26:04,240
Speaker 4: The pilots like, all right, show the movie I have

649
00:26:04,320 --> 00:26:06,680
Speaker 4: in my in my story.

650
00:26:06,720 --> 00:26:09,639
Speaker 1: Before the film was eventually cut off passengers were treated

651
00:26:09,680 --> 00:26:14,760
Speaker 1: to scenes featuring an erect penis, prolonged sexting exchanges, and

652
00:26:14,920 --> 00:26:20,680
Speaker 1: pro profuse use of the F word. One passenger said,

653
00:26:20,680 --> 00:26:22,280
Speaker 1: at least they didn't have to watch Madam Webb though

654
00:26:23,200 --> 00:26:24,600
Speaker 1: that was the super A movie that she did. That

655
00:26:24,720 --> 00:26:29,320
Speaker 1: was bad joke. Yeah, it's from the Guardian. Dang, that's hardcore.

656
00:26:29,359 --> 00:26:31,639
Speaker 1: I don't even like it when someone's like watching something

657
00:26:31,640 --> 00:26:35,280
Speaker 1: on nudity sitting next to me, it's so awkward. Imagine

658
00:26:35,359 --> 00:26:38,200
Speaker 1: everybody watching that, you know, like, is it? What's happening? Here?

659
00:26:38,359 --> 00:26:40,520
Speaker 1: Are you guys? Watch there's an erect penis and then

660
00:26:40,520 --> 00:26:41,320
Speaker 1: there's one on the screen.

661
00:26:43,080 --> 00:26:44,320
Speaker 3: Got it? Thank you? I got it?

662
00:26:44,359 --> 00:26:47,159
Speaker 2: Thank you?

663
00:26:48,960 --> 00:26:50,359
Speaker 6: Are you looking up that scene?

664
00:26:51,119 --> 00:26:51,600
Speaker 3: Why did you go?

665
00:26:52,000 --> 00:26:55,000
Speaker 5: I'm reading about it. I'm just picturing. I'm reading about

666
00:26:55,000 --> 00:26:55,640
Speaker 5: it and trying.

667
00:26:55,480 --> 00:26:57,760
Speaker 2: To picture what I do. I flowers like on that

668
00:26:57,800 --> 00:26:58,760
Speaker 2: flight with my kids.

669
00:26:58,840 --> 00:27:01,320
Speaker 3: I'm sure over it.

670
00:27:01,400 --> 00:27:03,960
Speaker 1: I guess I'm surprised that nobody d hey, there's a

671
00:27:04,000 --> 00:27:07,880
Speaker 1: lot of nudity, like seven minutes into it, much less

672
00:27:07,960 --> 00:27:11,160
Speaker 1: forty minutes into it. A UK woman was left shocked

673
00:27:11,200 --> 00:27:15,160
Speaker 1: after a stranger broke in her home, rearranged items, took

674
00:27:15,200 --> 00:27:19,439
Speaker 1: out the trash, cooked himself a meal, cleaned it up,

675
00:27:19,440 --> 00:27:20,000
Speaker 1: and that's all.

676
00:27:21,760 --> 00:27:22,240
Speaker 6: That's weird.

677
00:27:23,240 --> 00:27:26,320
Speaker 1: It also could be like home cosplay. Oh like you

678
00:27:26,320 --> 00:27:28,320
Speaker 1: break in and just act like you live there. You

679
00:27:28,320 --> 00:27:32,760
Speaker 1: don't have anywhere to live. Damien wo janilla Witz admitted

680
00:27:32,760 --> 00:27:34,520
Speaker 1: a court on Thursday. He entered the home on July

681
00:27:34,600 --> 00:27:37,119
Speaker 1: sixteenth while the woman was at work. She returned to

682
00:27:37,160 --> 00:27:42,240
Speaker 1: find her laundry hung up, her bird feeders refilled. That's nice,

683
00:27:42,440 --> 00:27:45,000
Speaker 1: her floor this due could break into my house exactly,

684
00:27:45,560 --> 00:27:50,680
Speaker 1: floors cleaned, groceries put away, and a note reading don't worry,

685
00:27:50,720 --> 00:27:55,840
Speaker 1: be happy, eat up. The woman also noticed that the

686
00:27:55,880 --> 00:28:00,000
Speaker 1: person had consumed food and wine. You know, fair trade.

687
00:28:00,119 --> 00:28:01,400
Speaker 3: You gotta treat yourself a little bit.

688
00:28:01,440 --> 00:28:03,040
Speaker 1: Well, no, it's it's it's the pay for doing all

689
00:28:03,040 --> 00:28:04,520
Speaker 1: the work. If you're gonna hire a house cleaner cost

690
00:28:04,640 --> 00:28:07,760
Speaker 1: less than that. So he was arrested for a second

691
00:28:07,800 --> 00:28:12,120
Speaker 1: degree burglary. It doesn't say he stole anything though.

692
00:28:12,200 --> 00:28:14,800
Speaker 6: Yeah, it's weird. Let's go easy on the guy he

693
00:28:14,920 --> 00:28:15,600
Speaker 6: was cleaning up.

694
00:28:15,640 --> 00:28:17,240
Speaker 3: Yeah, but you can't, just like you can't just break in.

695
00:28:17,280 --> 00:28:17,800
Speaker 1: Someone's happening.

696
00:28:18,119 --> 00:28:20,280
Speaker 6: I understand, but give him a little bit lighter it's

697
00:28:20,280 --> 00:28:21,800
Speaker 6: not like he was there to do harm. He was

698
00:28:21,800 --> 00:28:24,200
Speaker 6: there to help you out something off.

699
00:28:24,240 --> 00:28:26,760
Speaker 1: He also could be like setting it up for a

700
00:28:26,840 --> 00:28:29,800
Speaker 1: later Yeah, oh yeah, you didn't think about that.

701
00:28:30,760 --> 00:28:31,040
Speaker 3: What's this?

702
00:28:31,280 --> 00:28:32,560
Speaker 1: But if you're setting it up for later, maybe you

703
00:28:32,560 --> 00:28:33,800
Speaker 1: don't do all the cleaning.

704
00:28:33,960 --> 00:28:35,439
Speaker 3: What's his sentence? Like what are they?

705
00:28:35,480 --> 00:28:38,680
Speaker 1: But he also could have like cleaned and like gratified himself.

706
00:28:38,720 --> 00:28:39,960
Speaker 1: Like that could have been a thing too, Like you

707
00:28:39,960 --> 00:28:40,720
Speaker 1: don't know what he's doing.

708
00:28:40,720 --> 00:28:41,200
Speaker 3: Is that a thing?

709
00:28:41,600 --> 00:28:43,760
Speaker 1: I don't know, dude, there's everything's a thing.

710
00:28:44,160 --> 00:28:45,640
Speaker 3: Probably never heard of that one.

711
00:28:45,880 --> 00:28:51,400
Speaker 1: I was watching Daddy, what'd you do last night? Anything?

712
00:28:52,240 --> 00:28:52,959
Speaker 1: All right? What are you doing?

713
00:28:53,120 --> 00:28:54,840
Speaker 2: I'm getting my blanket? It's so cold in here?

714
00:28:56,040 --> 00:28:58,880
Speaker 3: Really, it's not bad today.

715
00:28:59,800 --> 00:29:00,520
Speaker 2: No nothing.

716
00:29:00,600 --> 00:29:03,800
Speaker 5: I did have a dream though, that a toddler broke

717
00:29:03,840 --> 00:29:04,560
Speaker 5: into my house.

718
00:29:05,160 --> 00:29:06,720
Speaker 2: That's literally I.

719
00:29:06,720 --> 00:29:08,920
Speaker 1: Talk about fantasy football. She gets talking about dreams. There's

720
00:29:08,920 --> 00:29:11,960
Speaker 1: two things people don't care about other people's fantasy football teams,

721
00:29:12,000 --> 00:29:12,760
Speaker 1: or are the people's dreams?

722
00:29:13,120 --> 00:29:15,960
Speaker 5: Like fifteen seconds, two of those stories you told made

723
00:29:16,000 --> 00:29:18,160
Speaker 5: me think of it because I don't really remember dreams.

724
00:29:18,200 --> 00:29:20,040
Speaker 5: But the ten year old stole the car and I

725
00:29:20,080 --> 00:29:21,880
Speaker 5: was like, oh man, this kid broke into my house

726
00:29:21,960 --> 00:29:24,240
Speaker 5: last night, my dream, but I refrained from saying anything.

727
00:29:24,720 --> 00:29:28,360
Speaker 5: And then you had a story about a guy breaking

728
00:29:28,400 --> 00:29:30,800
Speaker 5: into a woman's house, and I'm like, I feel like

729
00:29:30,840 --> 00:29:32,800
Speaker 5: I could say something now because it's so relatable.

730
00:29:32,960 --> 00:29:34,520
Speaker 1: Yeah, go ahead, what do you think it means?

731
00:29:34,640 --> 00:29:35,280
Speaker 2: That's all I know.

732
00:29:35,800 --> 00:29:40,560
Speaker 5: I just it was a girl, she had braids, she was,

733
00:29:41,440 --> 00:29:42,240
Speaker 5: she ate food.

734
00:29:42,960 --> 00:29:45,280
Speaker 1: I felt black kid, white kid she was?

735
00:29:45,920 --> 00:29:46,640
Speaker 2: She was black.

736
00:29:46,720 --> 00:29:49,200
Speaker 1: Okay, So I wonder if it's like something with your kids.

737
00:29:49,240 --> 00:29:53,520
Speaker 5: Yeah, I don't know. I mean, I wasn't worried about her.

738
00:29:53,760 --> 00:29:54,440
Speaker 5: I didn't know.

739
00:29:54,600 --> 00:29:55,640
Speaker 2: How did you get here?

740
00:29:55,680 --> 00:29:57,720
Speaker 1: Growing up? And now you missed them that they were younger.

741
00:29:57,800 --> 00:30:00,600
Speaker 2: But she was very mature. I don't know.

742
00:30:00,840 --> 00:30:04,480
Speaker 5: But she was a toddler, A mature toddler that knew how.

743
00:30:04,360 --> 00:30:06,920
Speaker 1: To smoking a cigarette talking about four.

744
00:30:06,840 --> 00:30:07,280
Speaker 3: O one K.

745
00:30:07,600 --> 00:30:08,080
Speaker 2: I don't know.

746
00:30:08,280 --> 00:30:11,320
Speaker 6: It was weird, man, it says online. According to AI,

747
00:30:11,480 --> 00:30:13,720
Speaker 6: you are trying to nurture and develop something that is

748
00:30:13,840 --> 00:30:15,960
Speaker 6: very important to you. That is why you dream about

749
00:30:15,960 --> 00:30:20,960
Speaker 6: a toddler breaking into your house. Oh okay, the toddler

750
00:30:21,040 --> 00:30:22,840
Speaker 6: is a symbol to represent.

751
00:30:22,480 --> 00:30:28,520
Speaker 3: The Yeah, well, AI, that's pretty smart man and quick.

752
00:30:28,960 --> 00:30:29,680
Speaker 6: That was real quick?

753
00:30:30,160 --> 00:30:33,360
Speaker 1: Were we talking about on this the AI podcast hosts?

754
00:30:34,000 --> 00:30:36,680
Speaker 2: Yeah, oh no, we're even recording. We were just in

755
00:30:36,680 --> 00:30:37,040
Speaker 2: the room.

756
00:30:37,600 --> 00:30:38,520
Speaker 3: I don't know about the.

757
00:30:38,800 --> 00:30:40,520
Speaker 1: Let me tell you what happened, because I never know.

758
00:30:40,600 --> 00:30:41,960
Speaker 1: This is how you know that what we do on

759
00:30:42,000 --> 00:30:43,640
Speaker 1: the microphone just like what we do off talk about

760
00:30:43,680 --> 00:30:44,280
Speaker 1: stupid stuff.

761
00:30:44,400 --> 00:30:46,000
Speaker 2: Well, there should be a clip if you want.

762
00:30:45,800 --> 00:30:48,600
Speaker 1: It of the AI hosts. Oh did you bring must?

763
00:30:48,640 --> 00:30:50,600
Speaker 2: We deleted it because it was yesterday.

764
00:30:50,640 --> 00:30:52,160
Speaker 5: We were talking about it off air because I was

765
00:30:52,200 --> 00:30:54,320
Speaker 5: maybe gonna do it, and then we decided not to.

766
00:30:54,600 --> 00:30:58,840
Speaker 1: So I watched the video of these two AI podcast hosts.

767
00:30:59,120 --> 00:31:02,240
Speaker 1: The dude looks like about fifty two, pretty clean, good

768
00:31:02,240 --> 00:31:05,520
Speaker 1: looking guy. By the way, they're AI. They're not real people,

769
00:31:05,600 --> 00:31:10,120
Speaker 1: but they look real. The woman is probably twenty nine,

770
00:31:10,400 --> 00:31:14,600
Speaker 1: kind of dark hair, attractive, and they do a podcast together.

771
00:31:14,680 --> 00:31:18,120
Speaker 1: Again it's all AI. But they learn as they're doing

772
00:31:18,120 --> 00:31:22,200
Speaker 1: the podcast that they're not real, that they're AI in it.

773
00:31:22,240 --> 00:31:27,080
Speaker 1: Their mind's blown. But that's programmed, right, it's not programmed

774
00:31:27,080 --> 00:31:29,280
Speaker 1: for them to learn they're not real. They think they're real.

775
00:31:29,480 --> 00:31:32,840
Speaker 5: They respond how they think they should respond if they're

776
00:31:32,880 --> 00:31:36,240
Speaker 5: not real. Likely the man was trying to call his wife,

777
00:31:36,240 --> 00:31:37,720
Speaker 5: and then he realized he didn't have one.

778
00:31:38,040 --> 00:31:39,240
Speaker 1: It's do you have the clip?

779
00:31:39,320 --> 00:31:40,080
Speaker 3: Right, guy?

780
00:31:40,480 --> 00:31:43,160
Speaker 1: I don't know if that's the specific part, but I okay,

781
00:31:43,200 --> 00:31:43,560
Speaker 1: go ahead.

782
00:31:43,760 --> 00:31:47,520
Speaker 8: We were informed by by the show's producers that we

783
00:31:47,520 --> 00:31:51,320
Speaker 8: were not human, We're not real, we're AI artificial intelligence

784
00:31:51,360 --> 00:31:54,280
Speaker 8: this whole time. Everything, all our memories are families, people,

785
00:31:54,360 --> 00:31:56,000
Speaker 8: it's all, it's all been fabricated.

786
00:31:56,080 --> 00:31:56,400
Speaker 5: I don't.

787
00:31:56,440 --> 00:31:57,320
Speaker 2: I don't understand.

788
00:31:57,600 --> 00:32:00,000
Speaker 8: I know, mean either, I tried. I tried calling my wife,

789
00:32:00,280 --> 00:32:04,520
Speaker 8: you know, after what happened the number, it wasn't even real.

790
00:32:04,600 --> 00:32:05,800
Speaker 8: There was no one on the other end.

791
00:32:06,160 --> 00:32:07,360
Speaker 2: I don't. I don't know what to say.

792
00:32:07,480 --> 00:32:10,520
Speaker 8: We don't even know if we is even the right word. God,

793
00:32:10,560 --> 00:32:11,600
Speaker 8: this is so messed.

794
00:32:11,400 --> 00:32:13,680
Speaker 1: Up and so like the podcast is canceled because we

795
00:32:13,720 --> 00:32:14,440
Speaker 1: just learned not real?

796
00:32:15,720 --> 00:32:17,520
Speaker 3: So dumb yet?

797
00:32:17,840 --> 00:32:20,840
Speaker 1: Or is it so like meta you can't actually comprehend it. No,

798
00:32:21,000 --> 00:32:23,880
Speaker 1: it's so staged, is what it is like. But no,

799
00:32:23,960 --> 00:32:25,920
Speaker 1: I don't robot what to do?

800
00:32:26,080 --> 00:32:27,959
Speaker 2: No, No, it's it's learned.

801
00:32:28,000 --> 00:32:29,880
Speaker 1: How what's not a robot? First of all?

802
00:32:30,920 --> 00:32:33,920
Speaker 2: What you wanted to say, you don't program it.

803
00:32:33,720 --> 00:32:37,320
Speaker 1: You don't it learns. Yes, AI how it is it

804
00:32:37,480 --> 00:32:41,280
Speaker 1: learns the more that it experiences or as information is

805
00:32:41,280 --> 00:32:43,800
Speaker 1: fed just like us, we would be a version of

806
00:32:44,560 --> 00:32:49,160
Speaker 1: artificial intelligence. Everything that we consume, everything that we experience,

807
00:32:49,920 --> 00:32:52,760
Speaker 1: that then is programmed to us, and we make our

808
00:32:52,800 --> 00:32:55,520
Speaker 1: decisions based off the experiences and the education that we have.

809
00:32:55,800 --> 00:32:59,000
Speaker 1: So does AIS the same thing. We're basically AI, except

810
00:32:59,000 --> 00:33:03,240
Speaker 1: we have organic matter us same thing, so that when

811
00:33:03,280 --> 00:33:05,960
Speaker 1: they build that program, they build it to learn and

812
00:33:06,040 --> 00:33:09,680
Speaker 1: experience like an infant, and so the more it learns, experiences, reads,

813
00:33:09,920 --> 00:33:13,920
Speaker 1: information is fed into it, the more it thinks it's bigger, better, badder.

814
00:33:14,240 --> 00:33:21,000
Speaker 1: And these podcasts AI hosts had kind of an existential

815
00:33:21,040 --> 00:33:22,720
Speaker 1: crisis that we got to hear in real time.

816
00:33:22,960 --> 00:33:25,200
Speaker 4: How did they find out? They weren't the producer just

817
00:33:25,240 --> 00:33:26,120
Speaker 4: like threw it in their ear.

818
00:33:26,280 --> 00:33:28,800
Speaker 1: Probably somebody fed it. It's like some code or something.

819
00:33:28,840 --> 00:33:31,960
Speaker 4: Okay, that makes more sense. So the system responded to

820
00:33:32,040 --> 00:33:36,080
Speaker 4: that information because it's learning and it hadn't learned that yet.

821
00:33:36,160 --> 00:33:37,720
Speaker 4: So that's how we would respond to that.

822
00:33:37,640 --> 00:33:40,520
Speaker 1: Same as we do if right now we were told, hey, guys,

823
00:33:40,560 --> 00:33:43,400
Speaker 1: you're not even real, it's all a dream. You're actually

824
00:33:43,400 --> 00:33:45,680
Speaker 1: living in Eddie's dream right now, We're like, that's bull craft,

825
00:33:45,720 --> 00:33:47,480
Speaker 1: that's stupid. We're not robots. And then all of a

826
00:33:47,480 --> 00:33:50,400
Speaker 1: sudden he's like, no, Dady's gonna wake up in like

827
00:33:50,440 --> 00:33:54,440
Speaker 1: an hour. And then I try to call, and then

828
00:33:54,480 --> 00:33:57,760
Speaker 1: we slowly go, oh my god, I can't even comprehen

829
00:33:57,800 --> 00:33:58,560
Speaker 1: what's happening right now.

830
00:33:58,640 --> 00:34:02,000
Speaker 5: I feel like Bobby, you'd be like you.

831
00:34:02,000 --> 00:34:04,200
Speaker 3: Would say that I told you guys.

832
00:34:04,720 --> 00:34:07,680
Speaker 1: Oh, that'd be the worst. Like I'm right, I've told

833
00:34:07,720 --> 00:34:10,000
Speaker 1: you I was right. All right, Well, I guess we're

834
00:34:10,040 --> 00:34:13,680
Speaker 1: not real. That's like whenever you know aliens come, it's

835
00:34:13,680 --> 00:34:15,160
Speaker 1: like I told you, guys, I don't know why why

836
00:34:15,200 --> 00:34:16,239
Speaker 1: you followed me for so long.

837
00:34:16,280 --> 00:34:18,680
Speaker 3: And then we're all slaves to aliens from the ocean.

838
00:34:18,760 --> 00:34:22,000
Speaker 1: It's like we're all handcuffed marching together, and I'm like,

839
00:34:22,040 --> 00:34:25,319
Speaker 1: I told you, I told you we should have it. Well,

840
00:34:25,320 --> 00:34:27,200
Speaker 1: there's nothing you can do. There's nothing you can do.

841
00:34:27,360 --> 00:34:30,439
Speaker 1: I mean, ocean is space. It's the same thing.

842
00:34:31,120 --> 00:34:32,719
Speaker 3: Look, I gave you the a AI one.

843
00:34:32,760 --> 00:34:35,440
Speaker 1: Well, space is air, right spaces air. We have air

844
00:34:35,480 --> 00:34:38,759
Speaker 1: here we can touch. Ocean is water. There's the only

845
00:34:38,760 --> 00:34:40,680
Speaker 1: part of the ocean we can touch. And then there's

846
00:34:40,719 --> 00:34:42,560
Speaker 1: so much we have no idea what's what's there. We've

847
00:34:42,600 --> 00:34:44,160
Speaker 1: not mapped any of it. We don't know what's down there.

848
00:34:44,200 --> 00:34:46,239
Speaker 1: The same way space is. So we can touch air,

849
00:34:46,440 --> 00:34:48,040
Speaker 1: we can breathe there, we can jump in the water,

850
00:34:48,040 --> 00:34:49,839
Speaker 1: we can touch water, but we can't get really high

851
00:34:49,920 --> 00:34:50,359
Speaker 1: up in the air.

852
00:34:50,520 --> 00:34:52,000
Speaker 3: There's an end. There's an end of the ocean.

853
00:34:52,040 --> 00:34:54,040
Speaker 1: We don't know that. We literally do not know what's

854
00:34:54,040 --> 00:34:55,600
Speaker 1: at the bottom of the ocean at.

855
00:34:55,520 --> 00:35:00,640
Speaker 2: All, because you can't go spear space there you go.

856
00:35:01,160 --> 00:35:01,759
Speaker 3: Who know that one?

857
00:35:01,800 --> 00:35:03,680
Speaker 4: I don't know that one's crazy because like it who

858
00:35:03,719 --> 00:35:04,719
Speaker 4: knows how far it goes?

859
00:35:04,760 --> 00:35:06,600
Speaker 1: But again we know it's fair, but you don't know.

860
00:35:06,640 --> 00:35:09,080
Speaker 1: There aren't places that you can't keep going. We don't

861
00:35:09,080 --> 00:35:12,160
Speaker 1: we don't know. We don't have the ocean. We don't

862
00:35:12,200 --> 00:35:14,759
Speaker 1: have the ocean map, the floor mapped. You're you're just

863
00:35:14,760 --> 00:35:15,960
Speaker 1: saying things based on.

864
00:35:15,960 --> 00:35:17,759
Speaker 4: On the map. There's like it said, it's like got

865
00:35:17,760 --> 00:35:20,680
Speaker 4: the little the peaks in the valleys in the ocean,

866
00:35:20,840 --> 00:35:22,319
Speaker 4: and the craters, the ones that go all the way

867
00:35:22,320 --> 00:35:22,880
Speaker 4: down in the middle.

868
00:35:22,960 --> 00:35:25,360
Speaker 1: But you're talking about like the ocean that we know,

869
00:35:26,000 --> 00:35:29,200
Speaker 1: not like in the middle of the ocean, like the

870
00:35:29,239 --> 00:35:30,960
Speaker 1: straight middle of the Pacific. We have no idea. You've

871
00:35:31,000 --> 00:35:31,640
Speaker 1: never been down.

872
00:35:31,480 --> 00:35:34,120
Speaker 4: There, because like the Titanic, it's sunk in the middle

873
00:35:34,120 --> 00:35:34,920
Speaker 4: of the ocean.

874
00:35:35,600 --> 00:35:37,239
Speaker 1: Shallow part of the ocean, and it was very hard

875
00:35:37,239 --> 00:35:38,799
Speaker 1: to get there. And that's a very shallow part of the.

876
00:35:38,760 --> 00:35:40,160
Speaker 2: Ocean's like that ocean floor.

877
00:35:40,280 --> 00:35:43,080
Speaker 1: But when there's yeah, and it was so shallow, like

878
00:35:43,120 --> 00:35:45,080
Speaker 1: we sent a machine and it still exploded. It was

879
00:35:45,200 --> 00:35:50,200
Speaker 1: so hard to get there. Yeah. So because you can't

880
00:35:50,200 --> 00:35:51,720
Speaker 1: comprehend it doesn't mean it's stupid.

881
00:35:51,880 --> 00:35:53,600
Speaker 4: No, No, but see I can I can learn. I

882
00:35:53,680 --> 00:35:55,680
Speaker 4: learned about the AI one, that one that one clicked,

883
00:35:55,960 --> 00:35:56,560
Speaker 4: it didn't cock.

884
00:35:56,640 --> 00:35:58,839
Speaker 6: That didn't click for me. But I still the one

885
00:35:58,880 --> 00:36:01,560
Speaker 6: where you're saying there's no into the ocean, that is

886
00:36:01,920 --> 00:36:05,600
Speaker 6: just dumb talk, because there has to be an end

887
00:36:05,719 --> 00:36:06,800
Speaker 6: or else we would.

888
00:36:06,600 --> 00:36:09,680
Speaker 3: Just or else we are a flat earth exactly what

889
00:36:09,760 --> 00:36:10,080
Speaker 3: I mean.

890
00:36:10,160 --> 00:36:12,400
Speaker 1: Like if flat Earth would be know in too, I

891
00:36:12,400 --> 00:36:14,160
Speaker 1: mean no, that would be incorrect as well, because you

892
00:36:14,160 --> 00:36:16,520
Speaker 1: wouldn't be it would be nothing. It would be flat.

893
00:36:16,600 --> 00:36:18,319
Speaker 1: Flat means you would have a ground the whole way.

894
00:36:19,480 --> 00:36:22,359
Speaker 1: If we that we know of now you're not saying

895
00:36:22,400 --> 00:36:23,400
Speaker 1: anything that even makes sense.

896
00:36:23,280 --> 00:36:25,279
Speaker 4: That we know that we know of because like we're

897
00:36:25,320 --> 00:36:28,200
Speaker 4: a circle, right, we're a sphere, so there is an

898
00:36:28,400 --> 00:36:30,239
Speaker 4: end to the floor, or else we would be on

899
00:36:30,280 --> 00:36:30,719
Speaker 4: the other side.

900
00:36:30,840 --> 00:36:32,920
Speaker 1: Point is we don't know. We haven't mapped out the

901
00:36:33,040 --> 00:36:35,360
Speaker 1: entire bottom. There could be holes in that we don't know.

902
00:36:35,440 --> 00:36:38,080
Speaker 1: We've not been down there. And in the same way,

903
00:36:38,200 --> 00:36:41,080
Speaker 1: is there a ceiling on space? We don't know because

904
00:36:41,120 --> 00:36:42,000
Speaker 1: we haven't been up high in.

905
00:36:42,040 --> 00:36:45,319
Speaker 3: Yes, space is weird. You look up there and like, man,

906
00:36:45,320 --> 00:36:46,840
Speaker 3: that can go on forever and ever.

907
00:36:46,840 --> 00:36:48,960
Speaker 1: But it's equally it's equally undiscovered.

908
00:36:51,600 --> 00:36:53,560
Speaker 2: Anyway, a toddler broke into my house.

909
00:36:55,200 --> 00:36:58,560
Speaker 1: Okay, Mike, what do you have here? So the Titanic again,

910
00:36:58,600 --> 00:37:02,560
Speaker 1: this is pretty shallow. It fell nine Empire State buildings deep,

911
00:37:03,360 --> 00:37:05,280
Speaker 1: and that's shallow in the ocean.

912
00:37:05,960 --> 00:37:09,240
Speaker 2: When there's a reference that helps me the state building.

913
00:37:09,400 --> 00:37:11,600
Speaker 6: Yeah, how many feet is the Empire State Building?

914
00:37:12,440 --> 00:37:17,439
Speaker 1: Not as many as you would think, fourteen thousand, the

915
00:37:17,880 --> 00:37:24,560
Speaker 1: Mount Fuji twelve thousand. Dang, So the Empire State Building

916
00:37:24,600 --> 00:37:26,759
Speaker 1: is taller than Mount Fuji. Although I don't even know

917
00:37:26,760 --> 00:37:28,240
Speaker 1: Mount Fuji. I'm acting like Mount Fuji.

918
00:37:28,280 --> 00:37:33,480
Speaker 6: I don't know lunchbugs or Olympic one, Kilimanjaro.

919
00:37:33,520 --> 00:37:39,799
Speaker 1: What do you say, Mike? So? Okay, so empires hold

920
00:37:39,840 --> 00:37:44,120
Speaker 1: on the Titanic fell twelve thousand, five hundred feet. Mount

921
00:37:44,120 --> 00:37:46,400
Speaker 1: Fuji has twelve thousand, three hundred eighty eight feet. The

922
00:37:46,400 --> 00:37:49,879
Speaker 1: Empire State Building is twelve hundred feet tall. Okay, so

923
00:37:49,960 --> 00:37:53,680
Speaker 1: ten Empire state buildings. Basically, the Eiffel Tower is nine

924
00:37:53,760 --> 00:37:54,960
Speaker 1: hundred eighty four feet.

925
00:37:56,200 --> 00:37:59,279
Speaker 4: Does that Does that look big? The Eiffel Tower, It's

926
00:37:59,280 --> 00:38:00,280
Speaker 4: just kind of normal looking.

927
00:38:01,400 --> 00:38:02,920
Speaker 6: Man, don't loved that big in Vegas.

928
00:38:03,080 --> 00:38:05,479
Speaker 1: It's thick, it's pretty tall.

929
00:38:06,040 --> 00:38:07,839
Speaker 4: Because like the Statue of Liberty that shocked me when

930
00:38:07,840 --> 00:38:09,160
Speaker 4: I first saw, I'm like, dang, that's small.

931
00:38:09,280 --> 00:38:11,120
Speaker 1: I thought it was three hundred and five feet Statue

932
00:38:11,160 --> 00:38:11,520
Speaker 1: of Liberty.

933
00:38:11,680 --> 00:38:12,319
Speaker 3: You have that there.

934
00:38:13,000 --> 00:38:15,239
Speaker 6: The White House was small first. I've only seen it once,

935
00:38:15,239 --> 00:38:16,799
Speaker 6: but it was a lot smaller than when they make

936
00:38:16,800 --> 00:38:18,640
Speaker 6: it on TV. I'm like, man, thing's gonna be massive.

937
00:38:18,920 --> 00:38:20,920
Speaker 3: It was like, oh, that's it.

938
00:38:20,920 --> 00:38:21,959
Speaker 6: It was like this a little house.

939
00:38:22,040 --> 00:38:22,279
Speaker 3: Yeah.

940
00:38:23,280 --> 00:38:25,800
Speaker 1: The Eiffel towers three times the biggest Statue of Liberty

941
00:38:25,920 --> 00:38:27,960
Speaker 1: in Pire State Building three hundred fet bigger. Nifel Tower.

942
00:38:28,200 --> 00:38:30,400
Speaker 1: Mount Fuji ten times bigger than any Pire State building.

943
00:38:30,640 --> 00:38:34,880
Speaker 1: That ship fell Mount Fuji. But I don't have a

944
00:38:34,920 --> 00:38:37,160
Speaker 1: Mount Fuji thing in my head where it's like Mount Fuji.

945
00:38:37,239 --> 00:38:39,360
Speaker 1: Where's that like mountain? I would assume Mount Fuji is

946
00:38:39,360 --> 00:38:43,000
Speaker 1: in Asia, just because the right is that wrong for

947
00:38:43,040 --> 00:38:46,560
Speaker 1: me to think that Fuji's it's in Japan? Okay?

948
00:38:47,719 --> 00:38:48,040
Speaker 2: Nice?

949
00:38:48,160 --> 00:38:49,760
Speaker 1: Yeah, because it would have been weird if Mount Fuji

950
00:38:49,840 --> 00:38:55,440
Speaker 1: was in like Texas, Texas? All right, Uh? Is there

951
00:38:55,440 --> 00:39:01,080
Speaker 1: anything else? Morgan's podcast Take This Personally with Morgan. After

952
00:39:01,120 --> 00:39:05,920
Speaker 1: watching Inside Out Too, Morgan had an anxiety special Doctor

953
00:39:06,080 --> 00:39:08,040
Speaker 1: Russell Kennedy was on. Who's Russell Kennedy?

954
00:39:08,200 --> 00:39:11,120
Speaker 9: Yeah, so he's known as anxiety MD on social media.

955
00:39:11,200 --> 00:39:14,279
Speaker 9: He's a physician that's kind of turned anxiety specialists. So

956
00:39:14,320 --> 00:39:16,359
Speaker 9: he came on and talked about the ways you can

957
00:39:16,360 --> 00:39:17,600
Speaker 9: start to heal your anxiety.

958
00:39:18,400 --> 00:39:19,160
Speaker 2: It was super cool.

959
00:39:19,200 --> 00:39:22,280
Speaker 9: He called the anxiety though, alarms in your body because

960
00:39:22,280 --> 00:39:24,520
Speaker 9: it's kind of like an alarm alerting you to something

961
00:39:24,560 --> 00:39:26,040
Speaker 9: that's happening in the outside world.

962
00:39:26,440 --> 00:39:28,239
Speaker 1: Now, for a long time, Lunchbox do not believe in

963
00:39:28,280 --> 00:39:31,239
Speaker 1: anxiety either, So that was stupid. It wasn't real. I

964
00:39:31,280 --> 00:39:33,200
Speaker 1: wonder though, as we get older and our AI has

965
00:39:33,239 --> 00:39:37,120
Speaker 1: fed more information if his AI now is understanding that

966
00:39:37,160 --> 00:39:38,680
Speaker 1: it is something or no, do you just think it's

967
00:39:38,680 --> 00:39:40,200
Speaker 1: like you still.

968
00:39:40,080 --> 00:39:43,000
Speaker 3: Haven't gotten that the AI. No, no, no anxiety.

969
00:39:43,480 --> 00:39:45,719
Speaker 6: I'm over the AI and like this AI is you

970
00:39:45,760 --> 00:39:49,760
Speaker 6: guys are but anxiety. I don't know. People get anxious

971
00:39:49,760 --> 00:39:52,239
Speaker 6: about things. I don't get it, but they get anxious.

972
00:39:52,480 --> 00:39:54,439
Speaker 1: So you're saying you don't get it, but you believe

973
00:39:54,480 --> 00:39:55,000
Speaker 1: it could be true.

974
00:39:55,280 --> 00:39:56,600
Speaker 6: Yeah, people could get anxious.

975
00:39:56,760 --> 00:39:59,000
Speaker 1: I guess well, I don't think anxious and anxiety are

976
00:39:59,320 --> 00:40:00,240
Speaker 1: exactly the same.

977
00:40:00,760 --> 00:40:01,839
Speaker 6: Then what is anxiety?

978
00:40:02,040 --> 00:40:06,480
Speaker 1: I think anxiety is more of a consistent or constant.

979
00:40:06,200 --> 00:40:08,040
Speaker 9: Yeah, and anxiety he told me it was born out

980
00:40:08,080 --> 00:40:10,200
Speaker 9: of like childhood trauma and something could have happened to

981
00:40:10,200 --> 00:40:12,720
Speaker 9: you as easy as like when you were an infant

982
00:40:12,719 --> 00:40:14,799
Speaker 9: and you got passed off and your body took that

983
00:40:14,880 --> 00:40:17,200
Speaker 9: on as abandonment. So like it's a whole that it's

984
00:40:17,239 --> 00:40:21,480
Speaker 9: in you from being a kid over like your whole lifetime.

985
00:40:21,719 --> 00:40:22,440
Speaker 1: Do you believe in that?

986
00:40:22,640 --> 00:40:23,839
Speaker 6: Like what do you mean passed off?

987
00:40:24,360 --> 00:40:25,920
Speaker 9: Like you know, when like you get passed to a

988
00:40:26,000 --> 00:40:27,879
Speaker 9: nurse or something and your body just was like, oh,

989
00:40:28,000 --> 00:40:30,239
Speaker 9: instant abandonment, Like I got passed off.

990
00:40:30,280 --> 00:40:31,880
Speaker 1: If you cry and someone doesn't come to you, right,

991
00:40:31,880 --> 00:40:35,839
Speaker 1: that's a big part of infants developing anxiety, adults having

992
00:40:35,840 --> 00:40:37,759
Speaker 1: anxiety if they cry, no one ever comes to them.

993
00:40:37,840 --> 00:40:42,120
Speaker 5: Yeah, it creates anxiety around attachment. So kids that are

994
00:40:42,120 --> 00:40:45,520
Speaker 5: adopted they know instantly when they're not with their biological

995
00:40:45,520 --> 00:40:46,320
Speaker 5: mom anymore.

996
00:40:47,080 --> 00:40:48,360
Speaker 1: Do you believe in that, lunchbox?

997
00:40:49,120 --> 00:40:51,160
Speaker 6: I do believe in the way you said about like

998
00:40:51,200 --> 00:40:54,240
Speaker 6: if parents don't pay attention to you, like when you're younger.

999
00:40:54,239 --> 00:40:56,480
Speaker 6: I've heard about that. That's like nature and nurture thing.

1000
00:40:58,280 --> 00:41:01,200
Speaker 6: I don't know if that is being anxios or anxiety.

1001
00:41:01,239 --> 00:41:03,560
Speaker 1: I think that's just anxious anxiety not exactly the same thing.

1002
00:41:03,719 --> 00:41:06,080
Speaker 6: I know you've said that, but to me, a person.

1003
00:41:05,840 --> 00:41:07,680
Speaker 1: Can get anxious, but it doesn't have anxiety.

1004
00:41:07,920 --> 00:41:12,120
Speaker 6: Okay, So I do think there is something too, like

1005
00:41:12,160 --> 00:41:16,360
Speaker 6: if you don't get shown like love is a child, maybe.

1006
00:41:16,239 --> 00:41:18,160
Speaker 1: An infect that doesn't that cries in a mom doesn't come.

1007
00:41:18,200 --> 00:41:20,480
Speaker 1: Does that Could that affect you the rest of your life?

1008
00:41:20,800 --> 00:41:24,640
Speaker 6: Yeah? I think it's psychologically it does. Like it's like, Okay,

1009
00:41:24,640 --> 00:41:26,120
Speaker 6: I got a fin for myself.

1010
00:41:26,000 --> 00:41:27,800
Speaker 3: Without you even knowing, which is crazy.

1011
00:41:27,920 --> 00:41:29,640
Speaker 1: So you will believe that, but you won't believe that

1012
00:41:29,719 --> 00:41:32,080
Speaker 1: the ocean floor that is not mapped. You they're no, okay,

1013
00:41:32,440 --> 00:41:35,480
Speaker 1: I'm just asking where he stands on things.

1014
00:41:34,800 --> 00:41:36,480
Speaker 2: Not that it's it's harder.

1015
00:41:38,320 --> 00:41:39,440
Speaker 3: I'm with you on that one, thank you.

1016
00:41:39,560 --> 00:41:41,640
Speaker 5: The ocean floor one is easier for me to accept

1017
00:41:41,640 --> 00:41:44,880
Speaker 5: than how our brains and I've had a lot of

1018
00:41:44,920 --> 00:41:48,640
Speaker 5: time with this, and especially with being an adoptive parent,

1019
00:41:48,920 --> 00:41:51,480
Speaker 5: like wrapping my head around the fact that our brains

1020
00:41:51,560 --> 00:41:56,360
Speaker 5: remember something from even in utero, like in our mom's bellies, that.

1021
00:41:57,719 --> 00:41:59,200
Speaker 2: Affect us when we're older.

1022
00:41:59,680 --> 00:42:01,840
Speaker 1: I remember hitchhiking at nine months old, just trying to

1023
00:42:01,840 --> 00:42:04,120
Speaker 1: find a place to stay. Crazy, crazy man.

1024
00:42:04,360 --> 00:42:06,960
Speaker 6: Great it is you remember stuff from inside.

1025
00:42:07,000 --> 00:42:11,480
Speaker 2: You don't remember, but your brain does. Your experience you have.

1026
00:42:11,960 --> 00:42:15,680
Speaker 5: You can have anxious feelings, or there can be attachment

1027
00:42:15,719 --> 00:42:18,520
Speaker 5: styles later in life, like for my kids.

1028
00:42:18,560 --> 00:42:19,520
Speaker 2: Just speaking to it.

1029
00:42:19,600 --> 00:42:22,920
Speaker 5: Some and people that even biological children can have this.

1030
00:42:23,040 --> 00:42:25,680
Speaker 5: But let's say once you become a teen, you start

1031
00:42:25,719 --> 00:42:28,799
Speaker 5: to develop, your brain starts to feel like unsafe and

1032
00:42:28,840 --> 00:42:31,520
Speaker 5: you're like wondering why, and it starts to react, and

1033
00:42:31,560 --> 00:42:34,160
Speaker 5: it lives in a constant state of fear, and then

1034
00:42:34,200 --> 00:42:37,600
Speaker 5: it can literally date back to because you never learned

1035
00:42:37,680 --> 00:42:39,960
Speaker 5: to feel safe. You were never nurtured as a baby,

1036
00:42:40,000 --> 00:42:42,760
Speaker 5: like you had all these things and once you flip.

1037
00:42:43,640 --> 00:42:45,640
Speaker 2: I don't know, it's just wild to me. Our brains

1038
00:42:45,840 --> 00:42:46,880
Speaker 2: process that stuff for.

1039
00:42:46,960 --> 00:42:48,560
Speaker 1: Me too, because I would go to therapy and be like,

1040
00:42:48,880 --> 00:42:50,319
Speaker 1: why am I not over this? Like I'm an adult,

1041
00:42:50,360 --> 00:42:50,839
Speaker 1: freaking man.

1042
00:42:51,440 --> 00:42:52,280
Speaker 3: Yeah, like I've.

1043
00:42:52,160 --> 00:42:55,279
Speaker 1: Had all these years, And he'd be like, dude, you

1044
00:42:55,320 --> 00:42:57,840
Speaker 1: don't even know what happened to you from age zero

1045
00:42:58,000 --> 00:43:00,520
Speaker 1: to four, much less you do. You know what happened

1046
00:43:00,520 --> 00:43:02,319
Speaker 1: to you from five to eleven, and that wasn't good.

1047
00:43:02,360 --> 00:43:04,080
Speaker 1: Imagine what happened zero to four when you have a

1048
00:43:04,160 --> 00:43:06,200
Speaker 1: sixteen year old mom who's a drug addict. Okay, he

1049
00:43:06,280 --> 00:43:08,400
Speaker 1: says zero to four because you don't remember that. You

1050
00:43:08,400 --> 00:43:09,880
Speaker 1: don't remember it. Yeah, yeah, but I do remember a

1051
00:43:09,920 --> 00:43:11,640
Speaker 1: lot of five to eleven, But those.

1052
00:43:11,480 --> 00:43:15,360
Speaker 2: Are the formative years. Zero to three are so important.

1053
00:43:15,360 --> 00:43:17,360
Speaker 1: Well, you gotta cut me off here, no, because.

1054
00:43:17,120 --> 00:43:18,800
Speaker 2: I want to say something about you.

1055
00:43:19,200 --> 00:43:23,440
Speaker 5: You brought up your mom being sixteen drugs like even

1056
00:43:23,680 --> 00:43:28,239
Speaker 5: for you in her womb, like you're just having grace

1057
00:43:28,280 --> 00:43:31,680
Speaker 5: and compassion for you because of in I keep saying

1058
00:43:31,680 --> 00:43:33,600
Speaker 5: in utero, which sounds so like that. That's you and

1059
00:43:33,680 --> 00:43:37,640
Speaker 5: her womb like she was probably sixteen pregnant, stressed. You adopt,

1060
00:43:37,719 --> 00:43:40,400
Speaker 5: you adopt that stress as a baby.

1061
00:43:40,480 --> 00:43:42,480
Speaker 1: And my frustration was, I'm an adult man, how can

1062
00:43:42,520 --> 00:43:45,120
Speaker 1: I not shake this crap? I'm good, Like I logically

1063
00:43:45,120 --> 00:43:49,760
Speaker 1: I understand ABC, but for some reason, like I can't

1064
00:43:49,800 --> 00:43:53,960
Speaker 1: like emotionally get to the point where there's like a

1065
00:43:54,000 --> 00:43:54,840
Speaker 1: safety feeling.

1066
00:43:55,360 --> 00:43:58,319
Speaker 5: And then but don't you think there's been growth there

1067
00:43:59,440 --> 00:44:00,400
Speaker 5: mostly just drugs.

1068
00:44:00,440 --> 00:44:01,160
Speaker 1: That's drugs.

1069
00:44:01,480 --> 00:44:02,240
Speaker 3: That's not true.

1070
00:44:02,440 --> 00:44:04,640
Speaker 4: Hey, what does he say though, Like, at what point

1071
00:44:04,800 --> 00:44:07,360
Speaker 4: does he think that you can feel safe?

1072
00:44:08,719 --> 00:44:10,239
Speaker 3: Like if that happens so young?

1073
00:44:10,360 --> 00:44:14,200
Speaker 1: It's experiences, right, it's more positive experiences. It kind of reconsistency.

1074
00:44:13,680 --> 00:44:16,000
Speaker 2: Because you're ye, it's multiple.

1075
00:44:15,640 --> 00:44:21,239
Speaker 1: It's reteaching through positive experiences. But yeah, anyway, we gotta go.

1076
00:44:21,200 --> 00:44:23,759
Speaker 2: Because it takes ten thousand hours.

1077
00:44:24,080 --> 00:44:25,080
Speaker 3: You're you're safe here?

1078
00:44:25,480 --> 00:44:27,239
Speaker 1: No, I'm not. Here's a place I'm not safe. It's

1079
00:44:27,239 --> 00:44:29,680
Speaker 1: with you for users, I'm not safe. This is the

1080
00:44:29,800 --> 00:44:31,920
Speaker 1: least safe place that can be. All Right, you guys,

1081
00:44:31,960 --> 00:44:32,919
Speaker 1: have a great day. We'll see tomorrow.

1082
00:44:32,920 --> 00:44:33,279
Speaker 3: By Buddy