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Speaker 1: It's got you ready, KURTI B. I am so ready

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Speaker 1: to laugh and laugh and laugh.

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Speaker 2: There's a sweet one and it's a it's a nod

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Speaker 2: at our beginnings here. It is baby cow escape slaughter

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Speaker 2: house and is raised by dear family in snowy forest.

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Speaker 1: Oh dear, that is heartwarming and I think America needs

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Speaker 1: it right now exactly. M utterly amazing news on this

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Speaker 1: brand on this brand new episode of Bananas.

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Speaker 3: Do world would my sillion pieces, dat.

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Speaker 2: Guys, gals, non binary pals, Welcome to Bananas.

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Speaker 4: I am Kurt Brown older, I.

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Speaker 1: Am Banana Boy number two Scotty Landis. Thank you for

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Speaker 1: listening to the silliest little podcasts there ever was, KURTI B.

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Speaker 1: Do we have any tour dates to announce before we

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Speaker 1: dive into our hot, hot comedy guest.

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Speaker 2: Look, all I'm gonna say is Raleigh. Sorry, Yeah, Raleigh, Raleigh.

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Speaker 2: Now I know how to say it, all right, everybody,

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Speaker 2: thank you for the one thousand messages. Apparently I once

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Speaker 2: said it rally, I apologize.

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Speaker 1: Raleigh.

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Speaker 2: Raleigh is almost sold out, Atlanta City Winery almost sold out.

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Speaker 2: Get your tickets September twenty third, twenty fourth. Then okay,

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Speaker 2: here's the big rich Man Richmond Baltimore. This is all bananas, Richmond, Baltimore, Brooklyn,

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Speaker 2: November tenth, eleventh, twelfth, eleventh.

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Speaker 1: Twelve, five, have no idea.

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Speaker 2: And then we're going to Philly, Philly on the December eighth.

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Speaker 2: I I don't even know if we have ticket link

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Speaker 2: for that yet.

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Speaker 1: First time to Philadelphia with the Banana Boys live. Come

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Speaker 1: on out. We'll be drinking vodka SODA's. Bring your hot

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Speaker 1: steaming confessions and we'll read them and laugh.

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Speaker 2: We are We are joined, of course, today by a

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Speaker 2: woman we love so very very much. She's podcast a

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Speaker 2: second time or third time. I don't even know. I

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Speaker 2: think this might be the third. It's only second.

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Speaker 1: I think we got her early twenty twenty one when

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Speaker 1: we were still all like creeping out of the Great Choar, like, okay,

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Speaker 1: it was good to see her face. Then it's even

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Speaker 1: better now.

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Speaker 2: She is a fantastic comedian. She's a wonderful actor and waiter.

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Speaker 2: You can see her on Rutherford Falls, on Peacock, her

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Speaker 2: last special, which we had her on to promote, which

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Speaker 2: was so goddamn good girl Daddy, on.

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Speaker 1: HBO Max Only Max.

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Speaker 2: She's got a news special It comes out October third,

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Speaker 2: titled If.

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Speaker 4: You Didn't Want Me?

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Speaker 2: Then on Netflix, Scottie, It's on Netflix.

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Speaker 1: That's top shelf when you're talking stand up comedy.

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Speaker 4: It's a glow up from Max.

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Speaker 1: Yep not.

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Speaker 2: And I don't want anyone who works at Max and

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Speaker 2: decides these things to think that I don't want to

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Speaker 2: specially on Max. I'll take literally anything I'm on YouTube.

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Speaker 2: So please welcome to the show the wonderful and talented

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Speaker 2: best stelling.

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Speaker 5: Hey, thank you for having me, boys, Banana.

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Speaker 1: Boys, so glad to have you back, Thanks for being on.

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Speaker 1: Where did you record If you Didn't Want Me? Then?

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Speaker 6: I recorded it in my hometown of Dayton, Ohio at

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Speaker 6: the Victoria Theater.

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Speaker 4: Oh, that's so exciting.

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Speaker 5: I did one show. It was eleven hundred seats.

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Speaker 6: I didn't think I could sell it twice.

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Speaker 5: One show, one take, no pickups?

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Speaker 2: Baby, Is there anything that you really wish that you

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Speaker 2: had had?

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Speaker 4: Another take?

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Speaker 5: Of the whole think or the whole thing?

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Speaker 2: I always think the first show is good and then

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Speaker 2: the second show is the one you use.

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Speaker 4: I always think that.

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Speaker 2: We all know. Yeah, I've always first one, yeah, for

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Speaker 2: all three, all three specials, I've taken everything from the

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Speaker 2: second show.

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Speaker 5: I'm trying to remember the last one. Honestly, I think

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Speaker 5: it was first show for me.

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Speaker 1: Wow, really, I think a lot of people go first show.

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Speaker 1: That's a little surprising. I think the ones that I've

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Speaker 1: gone and seen the taping. And also it's funny when

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Speaker 1: you watch when they cut between two, Like if there's

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Speaker 1: a first show, second show, and you're using different bits

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Speaker 1: depending on the show, you can usually see if somebody

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Speaker 1: is like sweatier, Yeah, their hair it's a little off

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Speaker 1: in the second show. And like, if you love comedy,

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Speaker 1: you watch a lot, you're like, okay, I could show

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Speaker 1: they're a little drunker in that one. Yeah, they're a

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Speaker 1: little redder in the face.

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Speaker 6: Might I add a little too loose, a little too

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Speaker 6: loosey goosey. Yeah, that you want to white knuckle that

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Speaker 6: you know you want to be locked in here we

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Speaker 6: go live.

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Speaker 1: To tape, so you all right, first take. When you

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Speaker 1: watch the special ban Animals, just remember Beth is flying

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Speaker 1: by the seat of her pants with this one. No

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Speaker 1: it is.

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Speaker 5: I think you can tell.

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Speaker 2: That is what you want for the big first Netflix special.

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Speaker 2: Eleven seats though, that feels that feels Netflix special though you.

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Speaker 5: Know, yeah, I think you know.

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Speaker 6: I personally feel safest, happiest in the smaller spaces with

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Speaker 6: people surrounding me. So this was a lot for me

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Speaker 6: to go in a big theater. But like you're saying,

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Speaker 6: I kind of wanted to switch it up. Every special

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Speaker 6: of mine has been smaller, so I thought, let's go big.

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Speaker 6: Let's see what happens.

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Speaker 7: I self produced it, and you self produced it and

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Speaker 7: then sold it to Netflix. Yeah, oh my god, congratulations, best,

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Speaker 7: thank you.

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Speaker 4: That's amazing.

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Speaker 5: So I did. I took a risk. I bet on me.

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Speaker 5: It was a terrible time in my life. Just know

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Speaker 5: that when you're also I was dealing with a.

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Speaker 6: Lot, So know that it's extraordinary that I was able

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Speaker 6: to make you laugh and keep it.

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Speaker 1: Does it feel raw?

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Speaker 5: Yeah?

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Speaker 4: Nice?

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Speaker 6: Yeah, there's there's two tags that make me so sad

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Speaker 6: that I didn't remember in the moment. Every time, Oh yeah,

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Speaker 6: every time I surprised myself with like, oh, you're nervous again.

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Speaker 5: That's so silly, isn't it crazy?

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Speaker 4: After yeah, like I'm.

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Speaker 5: Like, I got this. I've been doing this. Here we go.

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Speaker 6: I was writing on and Morty season eight at the

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Speaker 6: same time, in touring the twenty six cities.

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Speaker 5: Some stuff was going on with my family. I was

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Speaker 5: dating someone who was struggling.

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Speaker 6: It was like a lot and I felt I always

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Speaker 6: get like a little sick before.

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Speaker 5: Maybe it's psychosomatics, so I always have a gravelly voice.

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Speaker 5: There's some fun rifts in it where I just joke.

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Speaker 5: I don't want to run it for you, but I

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Speaker 5: I do a bit with the tea.

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Speaker 6: I'll ruin it. I say it's Sleepy Time Tea. I

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Speaker 6: think it's fun.

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Speaker 5: I think it's a fun moment.

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Speaker 4: I think everybody when you're.

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Speaker 1: Time tea on bananas before because it was created basically

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Speaker 1: by a cult, and it's very strange.

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Speaker 4: It's very strange.

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Speaker 2: There's an insane story behind Sleepy Time Tea. You should

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Speaker 2: google it.

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Speaker 4: It's one.

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Speaker 2: On one of our episodes, we do a deep dive

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Speaker 2: and when I say deep dive, we read exactly one

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Speaker 2: article in.

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Speaker 1: Very light dive.

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Speaker 2: Very It's just we skip across the top and make

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Speaker 2: some jokes and get out just.

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Speaker 8: The po The pool was three feet We had no

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Speaker 8: options other than but we got to the bottom of

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Speaker 8: that refeet up to our ankles and celestial seasonings.

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Speaker 1: Every single EPI well that's great. Congratulations. It's you know,

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Speaker 1: a lot of people that aren't in the biz don't

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Speaker 1: know what a big deal it is to produce a

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Speaker 1: special and get it on a platform like that. So congratulations,

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Speaker 1: that's awesome. October third, thank you.

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Speaker 4: Do you want to hear about this baby cow?

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Speaker 5: Sometimes I think I look like one?

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Speaker 2: Like?

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Speaker 1: No, well, that face does look like what the one

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Speaker 1: you're making does look how ask?

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Speaker 4: Yes, it's adorable if that's what you mean. Best cow.

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Speaker 2: Yeah, So this is here, it is ready. This wasn't

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Speaker 2: People Magazine. Big shout out.

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Speaker 1: To shut out to People Magazine, you're going strong.

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Speaker 5: Used to be some of the best journalists in the land, and.

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Speaker 1: Now you're your own thing and now you're mostly online.

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Speaker 1: So congratulations to People Magazine.

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Speaker 2: Shout out to Terra Cote who sent this in on Instagram.

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Speaker 2: If you have any stories, please go to our instagram

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Speaker 2: the Bananas Podcast. You can dm us the stories you

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Speaker 2: want to see on the show. This was in People,

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Speaker 2: written by Kelly Bender. She bends it so good. She's

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Speaker 2: the best in the biz. Baby cow named Bonnie escaped

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Speaker 2: slaughter house and is adopted by Deer family. Nice here

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Speaker 2: it is are we opening line thank you so much,

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Speaker 2: Kelly Bender.

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Speaker 4: Are we out of the woods yet? That's the first time?

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Speaker 4: All right?

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Speaker 2: If you're Bonnie the Cow, then yes. This adorable brown

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Speaker 2: and white cow now lives at Farm Sanctuary in Watkins Glen,

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Speaker 2: New York. But it was a long, scary, and sometimes

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Speaker 2: magical road to get there. At four months old, the

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Speaker 2: calf fled her home in Holland, New York, which was

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Speaker 2: a farm that raised cattle for slaughter, reports Farm Sanctuary.

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Speaker 2: What made Bonnie run was the desperate cries of her

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Speaker 2: bovine family, who were being rounded up to be sold

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Speaker 2: to a slaughterhouse. With her owners busy loading a trailer

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Speaker 2: with confused cows, Bonnie seized the moment and galloped off

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Speaker 2: into the nearby forest. Smart word of Bonnie's escape quickly

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Speaker 2: spread through the neighborhood, and though those want and though

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Speaker 2: those wandering through the woods would catch glimpses of the cow,

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Speaker 2: none were able to capture. Weeks past and Bonnie remained

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Speaker 2: at large. Many marveled at how the cow was able

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Speaker 2: to survive on her own in the woods during the winter.

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Speaker 2: They soon found that the farm animal wasn't alone. Cameras

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Speaker 2: set up in the forest by hunters started picking up

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Speaker 2: footage of Bonnie surrounded by a herd of deer. Based

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Speaker 2: on what the cameras were capturing, it appeared that Bonnie

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Speaker 2: had found solace with the herd, and that that herd,

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Speaker 2: in turn had accepted her. The cow traveled eight and

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Speaker 2: rested with the forest creatures. This herd, animal, though a

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Speaker 2: different species, was accepted into a new group after losing

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Speaker 2: her original family. While Bonnie was appearing to be surviving

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Speaker 2: in the woods, animal lover Becky Bartles knew this would

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Speaker 2: not always be the case. Bonnie was a domesticated animal

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Speaker 2: facing a cruel northeastern winter. After spotting Bonnie on a

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Speaker 2: camera she had set up, Bartel's, who owns the land

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Speaker 2: that Bonnie was frolicking on with her dear friends, started

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Speaker 2: approaching the cow throughout the winter. Every day, Bartles would

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Speaker 2: trek through the snow pulling a sledge carrying food and

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Speaker 2: bedding for Bonnie. Eventually, the cow, who was terrified of

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Speaker 2: humans after her last encounter, warmed up to Bartles and

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Speaker 2: began approaching her for pets and snacks.

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Speaker 4: It sounds like a.

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Speaker 2: Fairy tale fairy tale, but Bartles knew it couldn't last,

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Speaker 2: especially with neighbors who threatened to kill the cow if

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Speaker 2: she wandered onto their property. Who are these neighbors, Jesus Christ,

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Speaker 2: That is.

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Speaker 4: Nuts man upstate New York.

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Speaker 1: Yeah, baby, there it is.

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Speaker 2: So Bartles reached out to Farm Sanctuary for help. Farm

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Speaker 2: Sanctuary is a nonprofit dedicated to rescuing and caring for abuse, neglected,

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Speaker 2: and abandoned farm animals, providing them with a loving, lifetime

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Speaker 2: home where they can relax and not worry about being

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Speaker 2: seen as food. Farm Sanctuary sent out a rescue crew

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Speaker 2: to meet to move Bonnie out of the woods to

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Speaker 2: her new home. Took a few tries, but after safely

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Speaker 2: corralling and sedating Bonnie, they rolled to move around to

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Speaker 2: a truck that took her to Farm Sanctuary. After eight

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Speaker 2: months in the wild with her dear friends, Bonnie is

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Speaker 2: adjusted to her new digs at Farm Sanctuary. Here she

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Speaker 2: has made new friends and is constantly showered with care

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Speaker 2: and affection that she desires.

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Speaker 1: Wow, well that's nice, that's a happy ending. It started

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Speaker 1: just like a horror movie and then it turned into

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Speaker 1: something beautiful really a lot of ways.

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Speaker 6: Who was covering the story from the beginning to see

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Speaker 6: Bonnie escape.

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Speaker 5: I mean, how was captured? How did I know she galloped?

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Speaker 2: Yeah, probably the person loading the Probably the person loading

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Speaker 2: the animals into the truck.

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Speaker 1: Right.

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Speaker 5: They went to this place to interview, like, did you

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Speaker 5: see any escape? He was like, yeah, it galloped away.

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Speaker 1: He galloped. I think a four month old cow's pretty big.

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Speaker 1: I think a four month old always.

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Speaker 4: Like it's already larger than the deer it's hanging out with.

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Speaker 1: If that can cows not survive winters? It seems like

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Speaker 1: they could just eat what the deer eat and hang tight.

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Speaker 2: Yeah it is, yeah, on ones, but it was if

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Speaker 2: it wasn't for the fact that neighbors were just gonna

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Speaker 2: shoot the cow if it came out of their property.

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Speaker 2: That makes I guess that's the big issue, is that

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Speaker 2: humans are awful and terrible.

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Speaker 1: Yeah.

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Speaker 6: Yeah, so so Bartles was taking the things to the woods.

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Speaker 5: The deer weren't scared. Why how did deer survive but

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Speaker 5: a cow can't?

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Speaker 4: That's just oh well.

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Speaker 2: I'm saying, well, it's a wild animal versus a domesticated animal.

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Speaker 6: She's freshly domesticated. It could have been taught, true.

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Speaker 2: It could have been maybe, yeah, exactly, and maybe it

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Speaker 2: would have grown antlers. I guess it would have grown.

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Speaker 1: It's a visual skill that Cal's possessed. It's whatever they

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Speaker 1: look at, it just grows out of their head. I mean,

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Speaker 1: that's just really nice. Who doesn't like unlikely animal friendships.

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Speaker 1: It's the best thing that can happen. I saw a

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Speaker 1: video of a coyote and a badger that are best friends,

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Speaker 1: and it made me happy for two weeks.

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Speaker 2: I remember I was staying it was Christmas and we

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Speaker 2: were staying up near Lauren's Lauren's family in the Bay Area,

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Speaker 2: and we were staying at her cousin's house, who lives

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Speaker 2: kind of seemingly in the woods, but it's actually just

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Speaker 2: like the Bay Area, which is just very woodsy, and

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Speaker 2: Lauren let Zelda out. Zelda was young, Zelda was like

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Speaker 2: maybe a year old or something, so very wild. And

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Speaker 2: let Zelda out to pee in the morning, and she

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Speaker 2: didn't notice, and because she was like super sleepy, was

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Speaker 2: like six in the morning, and then she looks up

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Speaker 2: and like a buck, a huge buck with like a

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Speaker 2: huge rack of antlers, is just standing in the yard,

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Speaker 2: just like just chewing on grass.

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Speaker 4: And then Zelda like comes out and like peas and

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Speaker 4: Zelda is.

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Speaker 2: Not even paying attention, like my dog is not aware

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Speaker 2: of things, and it's just peeing. And then turns and

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Speaker 2: sees the buck, and Lauren's like, oh my god, no.

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Speaker 2: And Zelda goes right up to like takes off towards

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Speaker 2: the buck and goes right up to it, and the

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Speaker 2: buck like looks up, looks at the dog, and the

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Speaker 2: dog's like barking at it. And then it just from

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Speaker 2: a standing position. And this was, like she said, it

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Speaker 2: was big. It was probably like six feet tall and

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Speaker 2: like like the antlers were taller, and it.

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Speaker 1: Just jumped over a wall and left.

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Speaker 2: Like it jumped like fire feet in the air, like

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Speaker 2: this giant from a thousand pound thing. Yes, a standing

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Speaker 2: jump just from where Zelda was and went boom and

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Speaker 2: went over the wall into the woods.

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Speaker 5: Definition to the buck Olympics.

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Speaker 1: Yeah, the buck Olympics. Why isn't there a buck Olympics.

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Speaker 1: There's so many.

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Speaker 5: Deer there should be.

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Speaker 6: Zelda's never getting welcome into a deer family, I'll tell

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Speaker 6: you that right now.

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Speaker 1: No, she really, But the deer can do all kinds

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Speaker 1: of things. Yeah, catch socks on their antlers.

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Speaker 2: If you're little, if you're a little person, you can

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Speaker 2: definitely do it.

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Speaker 1: Children can ride deer.

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Speaker 2: It's been proven somewhere in Russia. Somewhere in russia's happening

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Speaker 2: right now. It's the only way people get around. There's

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Speaker 2: a whole town where they only ride deer, and we

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Speaker 2: don't know about it.

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Speaker 1: Yeah, we never will, and that's sad. But well, look,

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Speaker 1: that's so good.

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Speaker 4: Scottie, give me a story.

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Speaker 5: Well, we can do it.

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Speaker 1: We'll check that out soon. Steph Wood sent this in.

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Speaker 1: Thank you, Steph Wood. This was in CT Post, which

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Speaker 1: stands for Connecticut Post. Written by and she is damn

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Speaker 1: good at typing stories about this kind of content. Shenie

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Speaker 1: Holmes Brown. I love that Chanese Holmes Brown. She's the

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Speaker 1: best in the business. She certainly this one's cool. I

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00:17:24,320 --> 00:17:26,879
Speaker 1: think this one is. This could open up a conversation

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Speaker 1: between the three of us about just you know, it's

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Speaker 1: a moral decision and where do huge all your line

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Speaker 1: in the sand of morality. Connecticut man charged after finding

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Speaker 1: five thousand dollars outside of a bank and says I

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Speaker 1: just took the cash and called it a day.

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Speaker 4: Hell yeah, he's charged for what lucky cash?

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Speaker 1: Trumble Connecticut never heard of trumble before.

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Speaker 4: Connecticut, New England.

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Speaker 2: Boom trouble, thank you.

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Speaker 1: That should have been the headline. Shenie, a town resident,

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Speaker 1: as adamant, he did nothing wrong despite being charged with

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Speaker 1: third degree larceny after police charged him with stealing a

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Speaker 1: bag with several thousand dollars in town tax funds after

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Speaker 1: he found the money outside the Trumble bank in May.

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Speaker 1: Who's throwing a bag with five thousand dollars?

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Speaker 5: So what are we talking about here? He trumbled upon it?

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Speaker 5: It seas for the taking?

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Speaker 2: It is finders keepers have they have they not heard

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00:18:32,920 --> 00:18:33,840
Speaker 2: that lawn trumble?

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Speaker 5: What? What was it? And I want to know what

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Speaker 5: the bills were? In ones? Five?

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Speaker 1: How strong is this guy? And also it's a bag?

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Speaker 4: Like is it a bag with a money sign on it?

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Speaker 4: Did he find a classic money sign bag?

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Speaker 5: I don't know.

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Speaker 6: I guess the truth is like I'm the person who

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Speaker 6: like would if I walked out with a postcard like

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Speaker 6: be like.

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Speaker 5: Oh god, I have to take this back.

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Speaker 6: So I don't know if I would genuinely take this money,

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Speaker 6: especially it was outside the bank.

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Speaker 5: But why was it?

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Speaker 9: Now?

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Speaker 1: Is the part okay? So here we go. Robert with

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Speaker 1: Ington with Ington, fifty seven years young, turned himself in

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00:19:16,000 --> 00:19:20,919
Speaker 1: on Friday. According to police quote, Robert says this, I

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00:19:20,960 --> 00:19:23,520
Speaker 1: have never had a criminal record in my whole life.

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Speaker 1: This is a crock of baloney. Yeah, I said. Nobody's

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00:19:27,560 --> 00:19:33,320
Speaker 1: saying Croca maloney anymore, No special Kurt Brown or Kroca baloney.

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00:19:34,920 --> 00:19:36,960
Speaker 1: I found the money and now it's probably going to

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Speaker 1: cost me money. Withington said that he found the bag

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Speaker 1: of money on the ground at nine thirty am and

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Speaker 1: figured it was just his lucky day.

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Speaker 4: Yes it is, it was, Yes, it is.

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Speaker 3: It was.

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Speaker 1: Quote. I walked out onto the parking lot, saw something

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Speaker 1: on the ground. There was no one around, so I

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Speaker 1: picked it up. It's not like I stole something. No,

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00:20:00,960 --> 00:20:04,600
Speaker 1: it was not locked. It's like not coppying to this

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Speaker 1: at all.

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00:20:06,800 --> 00:20:12,320
Speaker 2: Whoever's left the bag of money on the ground, you

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00:20:12,400 --> 00:20:14,120
Speaker 2: leave it back of money on the ground, it's no

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00:20:14,160 --> 00:20:15,480
Speaker 2: longer your money.

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Speaker 5: That's why. That's why people are stressed about dropping money,

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Speaker 5: because it's no longer theirs.

384
00:20:20,920 --> 00:20:24,720
Speaker 4: Yes, exactly. They gotta get quick, get back, get it.

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00:20:25,040 --> 00:20:26,880
Speaker 4: They don't notice five grand's gone.

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Speaker 6: I know a friend who was like selling weed and

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00:20:30,200 --> 00:20:32,640
Speaker 6: dropped one thousand dollars in a rubber band. While they're

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00:20:32,720 --> 00:20:35,840
Speaker 6: skateboarding away. It's like, yeah, whoever finds it, that's their

389
00:20:35,840 --> 00:20:36,720
Speaker 6: one thousand dollars.

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00:20:37,080 --> 00:20:39,119
Speaker 1: Absolutely, you dropped. He could have.

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Speaker 2: He could have just assumed that this was a very

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Speaker 2: successful weed dealer. Skateboarding down the street with this bag

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00:20:46,920 --> 00:20:52,880
Speaker 2: of thousands of tumblers was all the time and trumble, kind.

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Speaker 1: Of trumble, Connecticut. According to a news release from the

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Speaker 1: Trumbull Police, an employee of the tax Collector's office, see

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Speaker 1: this makes even better. It's the tax collector's office. This

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Speaker 1: is Robinhood.

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Speaker 4: HiT's his money.

399
00:21:05,640 --> 00:21:10,359
Speaker 1: Probably, yeah, some of it. Tax Collector's office was on

400
00:21:10,400 --> 00:21:12,600
Speaker 1: their way to make a delivery to the bank branch

401
00:21:12,680 --> 00:21:19,879
Speaker 1: on Quality Street, but upon her arrival, was unable to

402
00:21:19,920 --> 00:21:21,960
Speaker 1: locate the bank deposit.

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Speaker 4: So they threw it on the ground and band away.

404
00:21:25,280 --> 00:21:30,479
Speaker 1: What the employee then reported the missing funds. Lieutenant Brian

405
00:21:30,640 --> 00:21:36,919
Speaker 1: Weir said Trumbull first Selectman, which is a government position.

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00:21:37,000 --> 00:21:41,640
Speaker 1: Apparently the first Selectman is named Vicky Tasorrow. She said.

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Speaker 1: The procedure for making bank deposits is the employee never

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Speaker 1: travels there alone. Curious quote. They are always escorted by

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Speaker 1: police or in a police car when they make a deposit.

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00:21:51,920 --> 00:21:54,760
Speaker 1: She said, they don't go to the bank alone to

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Speaker 1: tosorrow that I'll remind you this is first Selectman. Vicki

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00:22:00,800 --> 00:22:04,439
Speaker 1: said that she could not comment further regarding the investigation

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00:22:04,520 --> 00:22:07,520
Speaker 1: until it was settled. Detectives with the Trumbull Police Department

414
00:22:07,520 --> 00:22:13,280
Speaker 1: investigated over several months, including in several months moncuting interviews.

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00:22:13,520 --> 00:22:15,600
Speaker 1: It's like ten minutes, right, If that's on the ground

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00:22:15,680 --> 00:22:19,800
Speaker 1: for ten minutes, it's that is anybody walking by now

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00:22:19,840 --> 00:22:20,679
Speaker 1: owns that money.

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00:22:20,880 --> 00:22:23,040
Speaker 5: Yes, but also it's not like he saw it drop

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00:22:23,080 --> 00:22:26,600
Speaker 5: and said, excuse me, you know he dropped your tax funds.

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00:22:27,800 --> 00:22:32,240
Speaker 1: It's crazy. They did interviews, reviewed surveillance videos, and learned

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00:22:32,280 --> 00:22:34,400
Speaker 1: that the bag had been dropped on the ground outside

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00:22:34,400 --> 00:22:37,640
Speaker 1: of the bank, where Withington picked it up. Withington told

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00:22:37,720 --> 00:22:40,040
Speaker 1: police that he was in the bank that day and

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Speaker 1: found the bag, which had almost five thousand dollars inside.

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00:22:44,480 --> 00:22:46,640
Speaker 1: He had it and he kept it and felt no

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Speaker 1: obligation to return it to the owner. He said, quote,

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00:22:49,480 --> 00:22:52,080
Speaker 1: it's not like this was planned out. Everything was in

428
00:22:52,119 --> 00:22:54,760
Speaker 1: the moment and it was hit the latter that was it.

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Speaker 5: Now it's starting to feel planned out. It's not planned out.

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Speaker 6: It's not like I planned it with the person they

431
00:23:01,400 --> 00:23:05,320
Speaker 6: were supposed to travel with. I don't know anybody that

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00:23:05,400 --> 00:23:07,680
Speaker 6: works at the tax click what's her name? The first

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Speaker 6: select or, the best.

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Speaker 1: Boy Terroso, yeah, first selectman. What a prestigious thing to be,

435
00:23:15,560 --> 00:23:20,000
Speaker 1: said the deposit bag with Yes, you'll win. You run

436
00:23:20,040 --> 00:23:21,480
Speaker 1: against you because.

437
00:23:21,200 --> 00:23:23,880
Speaker 4: You know, it's an easy job. When you deposit money

438
00:23:23,880 --> 00:23:24,200
Speaker 4: at the bank.

439
00:23:24,240 --> 00:23:26,280
Speaker 2: You can drive by and then like a paper boy,

440
00:23:26,840 --> 00:23:29,600
Speaker 2: just throw it from the driver's side out the window

441
00:23:29,680 --> 00:23:32,120
Speaker 2: at the bank and that's legal and if someone picks

442
00:23:32,160 --> 00:23:33,160
Speaker 2: it up, they get arrested.

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00:23:36,760 --> 00:23:42,280
Speaker 5: Oh man, this.

444
00:23:40,440 --> 00:23:44,280
Speaker 1: Thought Vicki at the delivery person absolutely Withington said he

445
00:23:44,359 --> 00:23:47,240
Speaker 1: runs a dog training business and his clientele can vouch

446
00:23:47,280 --> 00:23:50,520
Speaker 1: for his character. Quote. Anybody who knows me know I'm

447
00:23:50,600 --> 00:23:52,640
Speaker 1: all about generosity.

448
00:23:55,440 --> 00:23:56,080
Speaker 9: More.

449
00:23:56,640 --> 00:23:59,879
Speaker 1: I know, I know there's something but I read this

450
00:24:00,080 --> 00:24:03,120
Speaker 1: so I was like, I love if I got caught

451
00:24:03,119 --> 00:24:05,719
Speaker 1: with that, I'd be like, I am so sorry. I

452
00:24:05,800 --> 00:24:08,480
Speaker 1: thought that it wasn't a big deal. Like He's like, no,

453
00:24:08,640 --> 00:24:11,040
Speaker 1: it's not a big deal. It was there. I took it.

454
00:24:11,160 --> 00:24:14,640
Speaker 1: I moved on with my life. He says, after living

455
00:24:14,640 --> 00:24:17,480
Speaker 1: in this town for twenty years, I'm not looking for trouble.

456
00:24:18,359 --> 00:24:22,560
Speaker 1: James Mose, who's an Associate Professor of Accounting a Taxation

457
00:24:22,680 --> 00:24:25,800
Speaker 1: at University of New Haven, said that he does not

458
00:24:26,040 --> 00:24:31,080
Speaker 1: think the larceny charge will stick. Larceny by definition, is

459
00:24:31,119 --> 00:24:34,440
Speaker 1: a crime that involves unlawful taking a property from someone

460
00:24:34,440 --> 00:24:36,800
Speaker 1: else without threat of violence. That's what larceny is.

461
00:24:37,200 --> 00:24:38,200
Speaker 5: Oh, without threat.

462
00:24:38,960 --> 00:24:41,960
Speaker 2: Yes, so you have to take it from someone. He

463
00:24:42,000 --> 00:24:43,640
Speaker 2: didn't take it from anyone.

464
00:24:43,640 --> 00:24:45,280
Speaker 5: Who was the defendant the pavement.

465
00:24:45,800 --> 00:24:50,000
Speaker 1: Thank you, babe. God she should be a lawyer.

466
00:24:50,200 --> 00:24:52,360
Speaker 5: I'd like to cement to the stand.

467
00:24:53,520 --> 00:24:53,800
Speaker 1: Yeah.

468
00:24:53,960 --> 00:24:58,680
Speaker 6: See if he's with glasses on, maybe it's asked fault.

469
00:25:00,160 --> 00:25:02,440
Speaker 1: We will never know where. None of us are going

470
00:25:02,480 --> 00:25:03,080
Speaker 1: to Trumbull.

471
00:25:04,119 --> 00:25:06,000
Speaker 5: I'm actually I will be there in December.

472
00:25:06,359 --> 00:25:10,320
Speaker 1: Yeah, Greb is doing three nights at the Trumbule Arena.

473
00:25:10,920 --> 00:25:14,440
Speaker 5: Whittington's opening for me. Actually once he once he's charges.

474
00:25:14,359 --> 00:25:18,600
Speaker 1: Clear, He's funny. Intent is the key they're going to

475
00:25:18,680 --> 00:25:21,639
Speaker 1: have to prove he willingly took it Withington said that

476
00:25:21,760 --> 00:25:24,080
Speaker 1: he was not thinking about the implications for taking the

477
00:25:24,119 --> 00:25:27,240
Speaker 1: money and acted on impulse since nobody was around to claimant.

478
00:25:28,000 --> 00:25:31,000
Speaker 1: I'm struggling to find intent. The professor said he should

479
00:25:31,040 --> 00:25:32,720
Speaker 1: have turned it in. Whether it's large or not, but

480
00:25:32,800 --> 00:25:35,560
Speaker 1: I don't think they'll be able to approve intent with this.

481
00:25:35,720 --> 00:25:39,200
Speaker 1: So Withington said he did not notice any identifiable items

482
00:25:39,200 --> 00:25:42,800
Speaker 1: in the bag as he was solely focused on the funds. Quote.

483
00:25:43,040 --> 00:25:45,280
Speaker 1: I just took all the cash and called it today.

484
00:25:45,640 --> 00:25:47,840
Speaker 1: I don't even know whose it was because I didn't look.

485
00:25:48,000 --> 00:25:50,560
Speaker 1: All I saw was cash. If I knew that was

486
00:25:50,600 --> 00:25:52,639
Speaker 1: wrong in the first place, I would have given it

487
00:25:52,720 --> 00:25:55,280
Speaker 1: right back. I like doing anything.

488
00:25:55,400 --> 00:25:58,240
Speaker 4: He's staying stepped full a tad too far.

489
00:25:58,920 --> 00:26:01,000
Speaker 1: He is stepped that had too far.

490
00:26:03,520 --> 00:26:06,560
Speaker 2: I'm on his side, and it is bold to be like,

491
00:26:06,640 --> 00:26:10,840
Speaker 2: I found five thousand dollars off the ground and there

492
00:26:10,960 --> 00:26:14,680
Speaker 2: is no way anything could possibly be wrong with taking.

493
00:26:14,400 --> 00:26:20,560
Speaker 1: It seven years old years old. Dogs for a living

494
00:26:23,480 --> 00:26:27,080
Speaker 1: about setting boundaries and rewards. He's like, no, this is

495
00:26:27,119 --> 00:26:28,680
Speaker 1: my little milk bone in the sun.

496
00:26:29,600 --> 00:26:29,840
Speaker 9: Yeah.

497
00:26:29,960 --> 00:26:32,840
Speaker 6: I feel like if if he was smart about it,

498
00:26:32,880 --> 00:26:35,560
Speaker 6: if you had a little time to plan, which sounds

499
00:26:35,560 --> 00:26:38,480
Speaker 6: like it wasn't premeditated, one of his dogs could have

500
00:26:38,480 --> 00:26:40,720
Speaker 6: picked it up and then it wouldn't even be on him.

501
00:26:40,760 --> 00:26:42,520
Speaker 3: And I don't know, right, I.

502
00:26:42,440 --> 00:26:44,520
Speaker 4: Have no idea where where would I have returned it to?

503
00:26:44,560 --> 00:26:45,640
Speaker 4: I don't know if the dog.

504
00:26:45,480 --> 00:26:48,360
Speaker 2: Picked it up, dropped it in the car, I don't

505
00:26:48,359 --> 00:26:50,760
Speaker 2: know where all the time, what am I supposed to

506
00:26:50,760 --> 00:26:51,639
Speaker 2: give it back to the dog?

507
00:26:52,200 --> 00:26:55,359
Speaker 5: That actually, dog trainer. I can't help it that my

508
00:26:55,440 --> 00:26:59,880
Speaker 5: dog took this five grand. My dog ate my five grand.

509
00:27:01,000 --> 00:27:04,120
Speaker 1: Oh my gosh. Screenwriters in Hollywood, when the strike ends,

510
00:27:04,119 --> 00:27:07,000
Speaker 1: we're just gonna have oceans eleven with dogs. It's gonna

511
00:27:07,040 --> 00:27:11,880
Speaker 1: be huge. It's just gonna be big, my god.

512
00:27:12,000 --> 00:27:12,200
Speaker 5: Yeah.

513
00:27:12,240 --> 00:27:14,720
Speaker 1: I mean it's funny to me because like, as the

514
00:27:14,840 --> 00:27:17,879
Speaker 1: article goes on, he's just so defiant about it that

515
00:27:17,960 --> 00:27:21,880
Speaker 1: you're like, Okay, you could have just been like, honest, mistake.

516
00:27:22,080 --> 00:27:24,320
Speaker 1: I'm so sorry. Also, I didn't see in the article

517
00:27:24,520 --> 00:27:26,679
Speaker 1: if you spend all the money, which the smartest thing

518
00:27:26,680 --> 00:27:28,000
Speaker 1: to do is you pick it up, you walk to

519
00:27:28,040 --> 00:27:31,080
Speaker 1: the closing the store, you buy gas cards, and then

520
00:27:31,119 --> 00:27:33,840
Speaker 1: you just start selling them. You just get rid of them.

521
00:27:33,840 --> 00:27:38,440
Speaker 1: It happens every day with credit card fraud. Yep. Man.

522
00:27:38,760 --> 00:27:44,280
Speaker 1: When I was he does he had to return it?

523
00:27:45,320 --> 00:27:45,520
Speaker 9: Yeah?

524
00:27:45,520 --> 00:27:47,440
Speaker 1: I didn't say he spent any of it though. It's

525
00:27:47,440 --> 00:27:50,479
Speaker 1: also like Bud, just reach in there, grab what you can,

526
00:27:50,520 --> 00:27:53,359
Speaker 1: grab one handful and walk away you're gonna get away

527
00:27:53,359 --> 00:27:59,280
Speaker 1: with it. Yeah, yeah, they did, but it took months.

528
00:27:59,320 --> 00:28:02,159
Speaker 1: That's the other thing too, Like it just seems like

529
00:28:02,440 --> 00:28:05,080
Speaker 1: it was the perfect crime until it wasn't. And now

530
00:28:05,119 --> 00:28:07,360
Speaker 1: he's just digging his heels in and I think he's

531
00:28:07,359 --> 00:28:10,919
Speaker 1: going to get away with it. When I was a

532
00:28:10,960 --> 00:28:14,760
Speaker 1: freshman in high school, it was I think it was

533
00:28:14,800 --> 00:28:17,679
Speaker 1: like September, so I was probably thirteen or fourteen. I

534
00:28:17,760 --> 00:28:20,440
Speaker 1: was really a little guy, and there was a girl

535
00:28:20,480 --> 00:28:22,640
Speaker 1: named Katie that I thought was really cute and kind

536
00:28:22,680 --> 00:28:25,080
Speaker 1: of liked. And it was a weekend and she was like,

537
00:28:25,200 --> 00:28:28,240
Speaker 1: come on over, Amy's over here. We're hanging out. So

538
00:28:28,280 --> 00:28:31,120
Speaker 1: I ride my bicycle over and when I get there,

539
00:28:31,160 --> 00:28:34,480
Speaker 1: she's like, my parents are gone for the whole day

540
00:28:34,720 --> 00:28:37,280
Speaker 1: and all they said was don't have any boys over.

541
00:28:37,440 --> 00:28:40,080
Speaker 1: And so there I am, like with my bike ready

542
00:28:40,080 --> 00:28:43,360
Speaker 1: to rumble, hanging out like this is a big moment.

543
00:28:43,680 --> 00:28:47,240
Speaker 1: And so we're hanging out. It's this big house, wrap

544
00:28:47,280 --> 00:28:51,040
Speaker 1: around porch, like huge yard, and at some point I'm

545
00:28:51,040 --> 00:28:54,080
Speaker 1: like sitting on a tree branch because it's the most

546
00:28:54,120 --> 00:28:58,440
Speaker 1: Americana moment of my entire life. With Katie and our

547
00:28:58,480 --> 00:29:01,360
Speaker 1: friend Amy goes, oh my god, your parents are here.

548
00:29:01,440 --> 00:29:03,800
Speaker 1: And like a car starts coming up the driveway and

549
00:29:03,800 --> 00:29:07,200
Speaker 1: then she goes, oh fuck, my parents are here. So

550
00:29:07,240 --> 00:29:09,800
Speaker 1: then this girl two cars come up this long driveway

551
00:29:10,080 --> 00:29:13,200
Speaker 1: and Katie just looks at me and she goes climb, Scottie, climb.

552
00:29:13,720 --> 00:29:16,480
Speaker 1: So I start climbing up the tree. She lowers down,

553
00:29:16,560 --> 00:29:19,920
Speaker 1: drops to the ground. And this is summertime. This is

554
00:29:19,960 --> 00:29:23,480
Speaker 1: September a Sunday, so it's sunny, so you can hide

555
00:29:23,520 --> 00:29:29,080
Speaker 1: in the tree. Y it's green leaves, yes, And I

556
00:29:29,240 --> 00:29:32,880
Speaker 1: climb as high as I'm holding onto the thinnest twigs

557
00:29:32,880 --> 00:29:35,280
Speaker 1: at the very top of this and like literally like

558
00:29:35,360 --> 00:29:40,400
Speaker 1: bending high under oh, the top of this tree, and

559
00:29:41,120 --> 00:29:41,840
Speaker 1: car door shut.

560
00:29:42,120 --> 00:29:44,880
Speaker 2: Nobody notices the boy's head poking out of the top

561
00:29:44,920 --> 00:29:46,440
Speaker 2: of the tree.

562
00:29:47,040 --> 00:29:47,840
Speaker 3: Did you take.

563
00:29:47,680 --> 00:29:50,800
Speaker 5: Off your neon shirt exactly?

564
00:29:51,160 --> 00:29:53,880
Speaker 1: I'm sure I had to shrew with getck goes on it. Yeah, sure,

565
00:29:54,960 --> 00:29:57,240
Speaker 1: so like I'm hiding truly at the top of a tree.

566
00:29:57,320 --> 00:30:01,120
Speaker 1: You wearing numbers for sure? Umber. Yeah, it's a risky

567
00:30:01,200 --> 00:30:02,640
Speaker 1: choice when you're hanging out with the girl.

568
00:30:05,360 --> 00:30:06,600
Speaker 4: It's too frictionless.

569
00:30:07,560 --> 00:30:10,720
Speaker 1: I was a lot bolder at my young age, and

570
00:30:10,760 --> 00:30:12,680
Speaker 1: they're like, don't they tell the girls to get on.

571
00:30:12,800 --> 00:30:14,600
Speaker 5: I'm sorry, just really quick. No, no, no.

572
00:30:14,800 --> 00:30:17,520
Speaker 6: Umbro is one of the tags that I forgot in

573
00:30:17,560 --> 00:30:21,680
Speaker 6: this poo. It's an umbro line. Keep going, please please, Now.

574
00:30:21,640 --> 00:30:23,320
Speaker 4: We can try and figure out which one it is.

575
00:30:23,560 --> 00:30:27,200
Speaker 1: Guess the tag when when you're laughing so hard you

576
00:30:27,240 --> 00:30:30,440
Speaker 1: have to pause Beth's Netflix special, Just say did she

577
00:30:30,600 --> 00:30:36,960
Speaker 1: say umbro right after this? You'll never know. So the

578
00:30:37,040 --> 00:30:40,000
Speaker 1: parents are so they the parents like, get on the

579
00:30:40,000 --> 00:30:41,160
Speaker 1: porch and sit down.

580
00:30:41,200 --> 00:30:42,640
Speaker 5: To they found you.

581
00:30:42,800 --> 00:30:47,000
Speaker 1: Okay, okay, no, But the dad knows something's up because

582
00:30:47,080 --> 00:30:50,080
Speaker 1: my bike is in the yard, so he knows something's

583
00:30:50,120 --> 00:30:52,560
Speaker 1: going on. So he's looking around and he walks over

584
00:30:52,560 --> 00:30:54,520
Speaker 1: to the tree and Katie's like, what are you doing?

585
00:30:54,720 --> 00:30:57,920
Speaker 1: Don't be so weird? God, you know, like perfect teenags.

586
00:30:58,680 --> 00:31:02,880
Speaker 1: So then I'm up and they say, we know you

587
00:31:03,000 --> 00:31:06,320
Speaker 1: two took his credit card and we know you spent

588
00:31:06,440 --> 00:31:10,000
Speaker 1: three thousand dollars at the bank last weekend. What so

589
00:31:10,080 --> 00:31:12,600
Speaker 1: these two girls had like grabbed one of the dad's

590
00:31:12,680 --> 00:31:16,080
Speaker 1: credit cards. Oh no, I went to Owings Mills Mall

591
00:31:16,280 --> 00:31:19,080
Speaker 1: and just went to j Z. Petty and Claire's and

592
00:31:19,240 --> 00:31:24,440
Speaker 1: Sam Goody and spent three thousand dollars.

593
00:31:24,480 --> 00:31:27,280
Speaker 2: Something is something is happening in that house that made

594
00:31:27,320 --> 00:31:30,400
Speaker 2: that girl do that. That's my first feeling like that's

595
00:31:30,480 --> 00:31:32,200
Speaker 2: such a bold, crazy move.

596
00:31:32,760 --> 00:31:35,640
Speaker 4: So that's a big fuck you crazy.

597
00:31:35,800 --> 00:31:37,800
Speaker 1: So I'm up hiding up in a trip. So I'm

598
00:31:37,880 --> 00:31:40,320
Speaker 1: hiding up there listing this conversation and like one of

599
00:31:40,400 --> 00:31:42,760
Speaker 1: them's crying and they're like, no, we did it. And

600
00:31:42,800 --> 00:31:45,920
Speaker 1: they're like, we know you did. Is that shirt you're wearing?

601
00:31:46,000 --> 00:31:48,720
Speaker 1: Like is that it? So they're like, you're both grounded,

602
00:31:49,120 --> 00:31:53,000
Speaker 1: you're both gonna get jobs, you're both gonna pay us back. Like,

603
00:31:53,040 --> 00:31:55,920
Speaker 1: and it's four parents yelling at two girls, and I'm

604
00:31:55,960 --> 00:31:58,200
Speaker 1: just up there like, oh shit, oh shit, oh shit shit.

605
00:31:58,880 --> 00:32:01,880
Speaker 1: So then finally Amy's parents they drive away with Amy.

606
00:32:02,800 --> 00:32:05,920
Speaker 1: Katie goes inside the house and I'm like okay, and

607
00:32:05,960 --> 00:32:07,800
Speaker 1: it's Sunday, so I have to get back to my

608
00:32:07,880 --> 00:32:09,440
Speaker 1: house before my parents are mad at me.

609
00:32:09,720 --> 00:32:12,040
Speaker 6: And then I find out that you spent six grand

610
00:32:12,040 --> 00:32:12,920
Speaker 6: on the MasterCard.

611
00:32:13,680 --> 00:32:16,760
Speaker 1: Thank you. I didn't get that bike for free exactly.

612
00:32:16,880 --> 00:32:18,360
Speaker 4: It's an Avante bike.

613
00:32:18,440 --> 00:32:20,960
Speaker 2: It's like the nicest bike I made up a bike

614
00:32:21,040 --> 00:32:21,800
Speaker 2: name totally.

615
00:32:24,080 --> 00:32:27,560
Speaker 6: It's aff it's a huffy.

616
00:32:27,760 --> 00:32:30,360
Speaker 2: I was thinking what's a six thousand dollars bike called Avanti.

617
00:32:30,640 --> 00:32:31,800
Speaker 4: It's an Italian bike.

618
00:32:32,040 --> 00:32:36,560
Speaker 1: Yeah, so I watch, so I'm like, okay, I gotta

619
00:32:36,600 --> 00:32:39,040
Speaker 1: wait for my opening and climb down from this very

620
00:32:39,080 --> 00:32:42,760
Speaker 1: tall tree and make a clean escape. Instead, I'm looking

621
00:32:42,800 --> 00:32:44,760
Speaker 1: through the branches and I watch her dad walk over

622
00:32:44,800 --> 00:32:49,640
Speaker 1: to my bike, walk it into the shed, come out

623
00:32:49,920 --> 00:32:52,520
Speaker 1: with a riding lawnmower, and then I had to stay

624
00:32:52,520 --> 00:32:58,040
Speaker 1: in the tree. Now he mowed the yard. So I'm

625
00:32:58,080 --> 00:33:01,320
Speaker 1: just up there watching my friend who just got grounded

626
00:33:01,360 --> 00:33:03,719
Speaker 1: and knows I'm in that tree. Her dad just mowed

627
00:33:03,720 --> 00:33:07,080
Speaker 1: their giant yard for at least an hour. I'm just

628
00:33:07,200 --> 00:33:10,680
Speaker 1: up there home hanging out. It's closer and closer to dusk.

629
00:33:10,800 --> 00:33:12,960
Speaker 1: I had to be home at that time, so I'm

630
00:33:13,000 --> 00:33:15,080
Speaker 1: just up there. This is pre cell phone, this is

631
00:33:15,160 --> 00:33:17,880
Speaker 1: pre all that stuff. So I just was up there

632
00:33:17,880 --> 00:33:20,080
Speaker 1: for the crime and punishment of it all, and then

633
00:33:20,160 --> 00:33:22,480
Speaker 1: about I would honestly say maybe an hour and a

634
00:33:22,480 --> 00:33:25,760
Speaker 1: half of sitting up in the branches of a tree waiting,

635
00:33:26,240 --> 00:33:28,719
Speaker 1: and then when he finally put it away, I waited

636
00:33:28,760 --> 00:33:31,000
Speaker 1: for it to be dark enough and slowly climbed down,

637
00:33:31,040 --> 00:33:34,880
Speaker 1: not to break any branches, not to baby stick cracking sounds,

638
00:33:35,120 --> 00:33:37,760
Speaker 1: Hop down, run over the shed, grab my bike and

639
00:33:37,800 --> 00:33:40,160
Speaker 1: then just hauled ass down the driveway as fast as

640
00:33:40,200 --> 00:33:42,760
Speaker 1: I could. It was like the most thrilling thing for

641
00:33:42,800 --> 00:33:45,000
Speaker 1: a fourteen year old. It was fantastic.

642
00:33:45,120 --> 00:33:48,360
Speaker 4: That's I mean, like, okay, so I have something, get you.

643
00:33:48,400 --> 00:33:50,680
Speaker 5: Your first hand job. I don't know what will.

644
00:33:50,880 --> 00:33:53,040
Speaker 1: Yeah, never did. We never hooked up.

645
00:33:53,320 --> 00:33:55,680
Speaker 4: Did you tell her that I was in your tree

646
00:33:55,720 --> 00:33:56,720
Speaker 4: for an hour and a half?

647
00:33:57,120 --> 00:33:57,400
Speaker 1: Yes?

648
00:33:58,200 --> 00:34:00,760
Speaker 4: And is she like you're a hero, amazing or was

649
00:34:00,800 --> 00:34:02,200
Speaker 4: she like, let's go to the mall?

650
00:34:02,560 --> 00:34:05,000
Speaker 1: She was like that is so funny. I'm grounded.

651
00:34:05,680 --> 00:34:08,320
Speaker 5: She got she's a boy. Do I have an outfit

652
00:34:08,360 --> 00:34:09,640
Speaker 5: from a wet seal for you?

653
00:34:10,239 --> 00:34:14,759
Speaker 1: Well? Yeah, it was exactly like No. She was like

654
00:34:14,880 --> 00:34:16,880
Speaker 1: that's crazy. How long were you even up there? I

655
00:34:16,920 --> 00:34:19,759
Speaker 1: was like two hours. She was like, seriously, did you

656
00:34:19,800 --> 00:34:21,879
Speaker 1: get cold? Yeah? I did?

657
00:34:21,960 --> 00:34:23,320
Speaker 5: Yeah, I was scared.

658
00:34:24,400 --> 00:34:26,680
Speaker 1: Then I had to ride my bike home about ten

659
00:34:26,800 --> 00:34:27,879
Speaker 1: miles in the door.

660
00:34:29,560 --> 00:34:31,960
Speaker 4: It was ten miles, Yeah, it was.

661
00:34:32,040 --> 00:34:34,440
Speaker 1: It was yeah, I was. She lived in Glyndon and

662
00:34:34,480 --> 00:34:35,600
Speaker 1: I lived in Ysterstown.

663
00:34:35,640 --> 00:34:38,480
Speaker 4: And did you get in trouble far Scott?

664
00:34:38,680 --> 00:34:43,160
Speaker 1: No, I think I got away with it because I

665
00:34:43,160 --> 00:34:45,000
Speaker 1: I mean, I think I got like in minor trouble

666
00:34:45,000 --> 00:34:46,560
Speaker 1: where it was just like I was late, but I

667
00:34:46,680 --> 00:34:49,160
Speaker 1: was you know, nobody knew. I was just riding my bike.

668
00:34:49,200 --> 00:34:51,480
Speaker 1: But it was so funny. I went over there to maybe,

669
00:34:51,560 --> 00:34:53,839
Speaker 1: I don't know, get a smooch or something. Instead, I

670
00:34:53,920 --> 00:34:58,040
Speaker 1: just got just got a bird's eye view of good parenting.

671
00:34:58,120 --> 00:34:58,759
Speaker 1: One oh one.

672
00:34:59,280 --> 00:34:59,560
Speaker 9: Wow.

673
00:35:00,000 --> 00:35:02,960
Speaker 5: Oh, I'm just like to be honest with you. If

674
00:35:03,000 --> 00:35:04,200
Speaker 5: I were you, I don't think I would have liked

675
00:35:04,239 --> 00:35:06,120
Speaker 5: her anymore after that. I would have been mad.

676
00:35:06,200 --> 00:35:07,880
Speaker 4: Oh I wouldn't. I wouldn't have liked her.

677
00:35:08,280 --> 00:35:10,480
Speaker 1: Yeah, yes, I.

678
00:35:10,400 --> 00:35:12,960
Speaker 6: Would have been mad, Like I wait in a freaking tree,

679
00:35:13,120 --> 00:35:15,960
Speaker 6: and not because you didn't get something like in return,

680
00:35:16,400 --> 00:35:19,320
Speaker 6: I mean because she puts you in a bad position

681
00:35:19,520 --> 00:35:20,520
Speaker 6: to wait in a tree for an.

682
00:35:20,400 --> 00:35:22,520
Speaker 4: Hour and a half and she could have just come clean.

683
00:35:22,640 --> 00:35:25,680
Speaker 4: She's already grounded. She's already grounded. Just be like. Also,

684
00:35:25,680 --> 00:35:27,359
Speaker 4: there's a boy in the tree, let him come down

685
00:35:27,360 --> 00:35:28,040
Speaker 4: and let him leave.

686
00:35:28,360 --> 00:35:31,319
Speaker 5: Yeah, he said he didn't know anything. There's a boy

687
00:35:31,360 --> 00:35:33,080
Speaker 5: in the tree. He didn't know. He wasn't allowed to

688
00:35:33,120 --> 00:35:33,480
Speaker 5: come over.

689
00:35:34,360 --> 00:35:38,040
Speaker 1: Mom, Dad. I know I'm in a weird place, right,

690
00:35:38,040 --> 00:35:40,960
Speaker 1: now with you guys. I know I'm rounded, and I

691
00:35:40,960 --> 00:35:42,640
Speaker 1: got to get a part time job, and I can't

692
00:35:42,719 --> 00:35:44,640
Speaker 1: drive a car because I'm fourteen years old, but I

693
00:35:44,640 --> 00:35:47,560
Speaker 1: gotta I gotta shoot straight. There's a boy in that tree.

694
00:35:47,560 --> 00:35:50,600
Speaker 5: There's a boy in the tree, and I grew on myself.

695
00:35:51,239 --> 00:35:52,920
Speaker 4: I don't know where he came from.

696
00:35:53,520 --> 00:35:58,800
Speaker 1: I've never before you go out there on your koboda

697
00:35:59,080 --> 00:36:02,759
Speaker 1: riding lawnmower and low the grass for two hours. Why

698
00:36:02,760 --> 00:36:05,640
Speaker 1: don't we let Scottie climb down from seventy five feet

699
00:36:05,680 --> 00:36:08,640
Speaker 1: in the air and ride his bike home like a

700
00:36:08,760 --> 00:36:13,600
Speaker 1: loser with a boner and umbros. Just nothing ever happened

701
00:36:13,600 --> 00:36:16,160
Speaker 1: between us and enough people from my high school listen

702
00:36:16,200 --> 00:36:19,120
Speaker 1: to this podcast the Name's alone, they'll know who I'm

703
00:36:19,160 --> 00:36:19,680
Speaker 1: talking about.

704
00:36:19,800 --> 00:36:21,480
Speaker 3: Oh wow, Yeah, I pictured.

705
00:36:21,160 --> 00:36:24,879
Speaker 6: The whole story in in my friend Sarah's house. Who

706
00:36:24,880 --> 00:36:28,160
Speaker 6: could have totally been It could have been this scenario

707
00:36:28,200 --> 00:36:29,000
Speaker 6: for us.

708
00:36:29,440 --> 00:36:31,240
Speaker 1: Did you have a klepto friend in high school?

709
00:36:32,480 --> 00:36:36,000
Speaker 6: She just had parents that were pretty, I don't know,

710
00:36:36,120 --> 00:36:37,920
Speaker 6: absent in the sense that they would like leave some

711
00:36:38,000 --> 00:36:40,399
Speaker 6: money drawer, like and say you could get Chinese food.

712
00:36:40,440 --> 00:36:41,759
Speaker 6: It was kind of like a free for all in

713
00:36:41,800 --> 00:36:42,720
Speaker 6: that way best.

714
00:36:43,120 --> 00:36:44,400
Speaker 5: We had all kinds of parties.

715
00:36:44,400 --> 00:36:44,600
Speaker 3: There.

716
00:36:45,200 --> 00:36:48,200
Speaker 6: There was a there was a bed called the jiz bed.

717
00:36:48,640 --> 00:36:51,799
Speaker 6: It's like there were yeah, it was like people would

718
00:36:51,800 --> 00:36:52,799
Speaker 6: go in there and hook up.

719
00:36:52,719 --> 00:36:54,160
Speaker 5: And I don't know if it ever got cleaned.

720
00:36:54,960 --> 00:36:59,200
Speaker 6: There was like computer access, internet access, a pantry filled

721
00:36:59,239 --> 00:37:00,520
Speaker 6: with anything you wanted.

722
00:37:01,280 --> 00:37:02,640
Speaker 5: And yet just like no parents.

723
00:37:03,760 --> 00:37:06,360
Speaker 1: This sounds like every town has it. It's that every

724
00:37:06,760 --> 00:37:09,440
Speaker 1: grade has it, every grade has one kid in it.

725
00:37:09,520 --> 00:37:12,239
Speaker 1: That's just like, here's the free for all house. Go

726
00:37:12,320 --> 00:37:12,719
Speaker 1: for it.

727
00:37:13,120 --> 00:37:18,239
Speaker 5: M yeah, never be the parent. That's like, if you're

728
00:37:18,280 --> 00:37:21,280
Speaker 5: gonna do cocaine, do it off my finger.

729
00:37:23,920 --> 00:37:26,480
Speaker 2: I just saw a comic by Ash Pearlman again. I

730
00:37:26,520 --> 00:37:29,239
Speaker 2: talk about him so much on this goddamn podcast. But

731
00:37:29,320 --> 00:37:32,279
Speaker 2: it was it was a parent to have a talk

732
00:37:32,400 --> 00:37:36,640
Speaker 2: with like a teenager, just saying, look, if you're gonna drink,

733
00:37:36,800 --> 00:37:38,960
Speaker 2: we want you to do it at home and party

734
00:37:39,000 --> 00:37:39,439
Speaker 2: with us.

735
00:37:42,360 --> 00:37:44,640
Speaker 5: You got it, you got it from us, after all.

736
00:37:45,880 --> 00:37:49,239
Speaker 2: That's right, let's tease us into a break. We're late, Yeah,

737
00:37:49,239 --> 00:37:53,200
Speaker 2: buddy boy, let's do it here. It is scientists read

738
00:37:53,440 --> 00:37:56,120
Speaker 2: dreams using brain scans.

739
00:37:57,320 --> 00:38:03,480
Speaker 1: Good good, I'm ready to hear more about this. On bananas.

740
00:38:05,800 --> 00:39:01,120
Speaker 9: Cool. Good hit me.

741
00:38:38,320 --> 00:38:40,560
Speaker 4: Folks were backs, Got you got any shout outs?

742
00:38:41,000 --> 00:38:43,480
Speaker 1: Do I have four beautiful shout outs? Kind of work

743
00:38:43,560 --> 00:38:45,719
Speaker 1: themed for no real reason. They just kind of lined

744
00:38:45,800 --> 00:38:50,040
Speaker 1: up that way, uh. Tanisha Lee Burkhalter has been nominated

745
00:38:50,080 --> 00:38:53,200
Speaker 1: as the best Chef in Salt Lake City for by

746
00:38:53,320 --> 00:38:57,040
Speaker 1: Sea City Weekly. So congratulations, Tanisha. We hope you win.

747
00:38:57,120 --> 00:38:59,320
Speaker 1: Let us know if you do win. That's very exciting.

748
00:39:00,520 --> 00:39:04,239
Speaker 1: Kurt Zeke fucking did it, That's what he says. He's

749
00:39:04,280 --> 00:39:06,640
Speaker 1: been training to be an airline pilot. He's been flying

750
00:39:06,680 --> 00:39:09,200
Speaker 1: for over ten years and as of last Wednesday, he

751
00:39:09,320 --> 00:39:12,719
Speaker 1: is now seven thirty seventh certified and can fly seven

752
00:39:12,800 --> 00:39:16,800
Speaker 1: thirty sevens. Not only can he he's flown and greased

753
00:39:17,280 --> 00:39:20,200
Speaker 1: six landings in a row, which I don't know pilot

754
00:39:20,239 --> 00:39:24,120
Speaker 1: talk or talk, but I think greased probably means good.

755
00:39:24,120 --> 00:39:28,760
Speaker 1: Because he sent this DM and not from the other side,

756
00:39:29,040 --> 00:39:31,640
Speaker 1: he says, thank you so much for your amazing podcast. Zeke,

757
00:39:31,680 --> 00:39:34,520
Speaker 1: congratulations on becoming a pilot. Maybe one day we'll be

758
00:39:34,560 --> 00:39:39,600
Speaker 1: on your flight. Yeah, Mads, we love the nurses on

759
00:39:39,640 --> 00:39:41,960
Speaker 1: this podcast, Beth. We have a lot of nurses. Listen

760
00:39:42,000 --> 00:39:45,320
Speaker 1: to Banana. My mom was a nurse. Thank you. Mads

761
00:39:45,320 --> 00:39:47,880
Speaker 1: is shouting yourself out there you go, there's another one,

762
00:39:48,080 --> 00:39:50,480
Speaker 1: and men can be nurses. It's not just women. Guys,

763
00:39:50,520 --> 00:39:51,200
Speaker 1: get out there.

764
00:39:51,440 --> 00:39:52,000
Speaker 5: That's right.

765
00:39:53,719 --> 00:39:56,320
Speaker 1: Long time for for a long time.

766
00:39:57,320 --> 00:40:01,840
Speaker 6: Michael's dad, I was thinking more like there are older

767
00:40:01,840 --> 00:40:02,400
Speaker 6: men nurses.

768
00:40:02,480 --> 00:40:03,359
Speaker 5: Is just not a new thing.

769
00:40:03,400 --> 00:40:06,160
Speaker 6: I don't know why I said that, but my friend

770
00:40:06,160 --> 00:40:08,560
Speaker 6: Michael's dad's and nurse nice.

771
00:40:09,000 --> 00:40:13,239
Speaker 1: It's a great job. We need or nurses. Mads is

772
00:40:13,239 --> 00:40:16,720
Speaker 1: shouting herself out for passing her licensing exam and becoming

773
00:40:16,760 --> 00:40:19,720
Speaker 1: a nurse. It's official. She says. It only took several

774
00:40:19,800 --> 00:40:22,319
Speaker 1: years in all of her money, but she's stoked. She's

775
00:40:22,360 --> 00:40:26,320
Speaker 1: stuck it out. So yeahs and last, but not least,

776
00:40:26,360 --> 00:40:29,759
Speaker 1: our bananimal who is going by E says that after

777
00:40:29,920 --> 00:40:33,280
Speaker 1: years of trying to get diagnosed with a chronic health

778
00:40:33,360 --> 00:40:36,680
Speaker 1: issue and nearly giving up, she finally found a specialist

779
00:40:36,680 --> 00:40:41,160
Speaker 1: who confirmed her diagnosis and is now getting the proper treatment.

780
00:40:41,560 --> 00:40:43,479
Speaker 1: He also wants to shout out all the other murder

781
00:40:43,520 --> 00:40:47,000
Speaker 1: bananas and bananimals who are not quitting while fighting their

782
00:40:47,040 --> 00:40:52,040
Speaker 1: way through the atrocious US healthcare system. Yes, so congratulationsy

783
00:40:52,160 --> 00:40:55,319
Speaker 1: we hope you get all the treatment you need to

784
00:40:55,360 --> 00:40:58,680
Speaker 1: live your best, beautiful banana's life.

785
00:40:58,880 --> 00:41:01,520
Speaker 2: That's what I got, curdieb And of course we are

786
00:41:01,560 --> 00:41:05,520
Speaker 2: here with the fabulous and wonderful Beth Stelling. She has

787
00:41:05,680 --> 00:41:11,040
Speaker 2: a spanking new comedy special that is going to be

788
00:41:11,239 --> 00:41:15,800
Speaker 2: premiering on Netflix on October third, called if you didn't

789
00:41:15,880 --> 00:41:18,800
Speaker 2: want me, then please welcome back?

790
00:41:19,000 --> 00:41:21,200
Speaker 4: Then I don't know, And she's here.

791
00:41:21,960 --> 00:41:22,760
Speaker 1: Beth Stelling.

792
00:41:23,440 --> 00:41:25,920
Speaker 5: Thank you for having me the greatest.

793
00:41:26,520 --> 00:41:26,880
Speaker 4: Thank you.

794
00:41:27,960 --> 00:41:30,480
Speaker 1: And Beth has the great zoom feature where no matter

795
00:41:30,520 --> 00:41:33,640
Speaker 1: where she moves, it centers on her face and zooms

796
00:41:33,680 --> 00:41:36,120
Speaker 1: in and it is a delight to watch.

797
00:41:36,360 --> 00:41:37,360
Speaker 4: It's really crazy.

798
00:41:37,760 --> 00:41:39,040
Speaker 5: But how do we turn it off?

799
00:41:39,600 --> 00:41:40,640
Speaker 1: I don't. I have no idea.

800
00:41:40,760 --> 00:41:42,880
Speaker 4: I can't turn it on. I would do it in

801
00:41:42,920 --> 00:41:45,160
Speaker 4: a heartbeat if I could turn that on me too.

802
00:41:45,600 --> 00:41:48,200
Speaker 1: It sounds real nice way to keep track of yourself. Yeah,

803
00:41:48,239 --> 00:41:48,680
Speaker 1: it's good.

804
00:41:48,920 --> 00:41:51,200
Speaker 2: It makes it seem like you have a robot who's

805
00:41:51,320 --> 00:41:55,640
Speaker 2: tracking you, like a little guy holding your computer and

806
00:41:55,719 --> 00:41:57,080
Speaker 2: following you around the room.

807
00:41:57,200 --> 00:41:58,200
Speaker 4: That's what it feels like.

808
00:41:58,480 --> 00:42:04,359
Speaker 1: And who doesn't want that's coming for all of us?

809
00:42:05,000 --> 00:42:11,279
Speaker 5: It's an iPad on a ring light, you know, so.

810
00:42:12,239 --> 00:42:15,240
Speaker 4: You want to hear this. You want to hear about this, bef.

811
00:42:15,800 --> 00:42:21,000
Speaker 5: No, okay, Jesus, I want to hear it.

812
00:42:24,800 --> 00:42:26,400
Speaker 4: So this was sent in by Emojen.

813
00:42:26,840 --> 00:42:31,919
Speaker 2: This is on the BBC Scientists read read dreams using

814
00:42:32,000 --> 00:42:37,839
Speaker 2: brain scans and it was written by Remecca Morell. This

815
00:42:37,920 --> 00:42:40,640
Speaker 2: is She's the best in the busins. This is a

816
00:42:40,680 --> 00:42:44,319
Speaker 2: fascinating article. It's from twenty thirteen, so it's ten years

817
00:42:44,360 --> 00:42:47,680
Speaker 2: old and I was like, Okay, if we can read dreams,

818
00:42:47,800 --> 00:42:51,720
Speaker 2: then there's there's going to be more articles than this. Basically,

819
00:42:52,000 --> 00:42:54,719
Speaker 2: this article is about how Japanese scientists are on the

820
00:42:54,800 --> 00:42:57,000
Speaker 2: verge of being able to read dreams of people sleeping

821
00:42:57,000 --> 00:43:01,080
Speaker 2: with an MRI machine. Okay, so tracking brain function while

822
00:43:01,160 --> 00:43:04,759
Speaker 2: someone dreams, and then actually being able to associate specific

823
00:43:04,840 --> 00:43:09,320
Speaker 2: things with specific types of narratives, and then being able

824
00:43:09,360 --> 00:43:12,080
Speaker 2: to literally watch someone's brain while they sleep and be

825
00:43:12,200 --> 00:43:14,200
Speaker 2: like you were dreaming that you were in a forest

826
00:43:14,239 --> 00:43:16,000
Speaker 2: and you saw this and all this sort of stuff.

827
00:43:16,320 --> 00:43:20,799
Speaker 1: I wonder how long you would would enjoy knowing your

828
00:43:20,880 --> 00:43:23,560
Speaker 1: dreams before you get bored of it. I wonder how

829
00:43:23,600 --> 00:43:27,440
Speaker 1: long this technology would be interesting to you, you know, because.

830
00:43:27,320 --> 00:43:30,840
Speaker 2: Yeah, first it's so interesting, right, it would very quickly

831
00:43:30,920 --> 00:43:31,719
Speaker 2: become boring, but.

832
00:43:33,160 --> 00:43:36,719
Speaker 6: Like anything, but I don't think.

833
00:43:36,800 --> 00:43:38,600
Speaker 1: First of your YouTube was out, you were like, oh

834
00:43:38,680 --> 00:43:40,759
Speaker 1: my god. And then now you're like, look at this

835
00:43:40,840 --> 00:43:42,680
Speaker 1: video on my phone. You're like, I'd rather die it's

836
00:43:42,719 --> 00:43:43,960
Speaker 1: not But.

837
00:43:43,960 --> 00:43:46,480
Speaker 2: I don't think it would only this deck would only

838
00:43:46,560 --> 00:43:49,440
Speaker 2: be used for reading dreams, you know, Scotty. It would

839
00:43:49,480 --> 00:43:51,120
Speaker 2: like you would you would be able to like put

840
00:43:51,120 --> 00:43:53,040
Speaker 2: a hat on and just like think up stuff and

841
00:43:53,080 --> 00:43:54,439
Speaker 2: then have it appear in your room.

842
00:43:54,480 --> 00:43:55,120
Speaker 4: Do you know what I mean?

843
00:43:55,200 --> 00:43:55,839
Speaker 1: That's not good?

844
00:43:57,920 --> 00:44:01,440
Speaker 2: But so then so I was like, sure, like if

845
00:44:01,440 --> 00:44:03,800
Speaker 2: this is happening in twenty thirteen, then in ten years

846
00:44:04,719 --> 00:44:06,000
Speaker 2: something crazier is happening.

847
00:44:06,000 --> 00:44:08,640
Speaker 1: All wrong between now and then in the world, you know.

848
00:44:09,239 --> 00:44:14,799
Speaker 2: There is no other article about scientists reading dreams other

849
00:44:14,920 --> 00:44:20,080
Speaker 2: than this one article from twenty thirteen until until recently

850
00:44:22,000 --> 00:44:25,239
Speaker 2: ban animals from across the world started sending this one

851
00:44:25,280 --> 00:44:27,600
Speaker 2: in this one, this one. The first one I saw

852
00:44:27,719 --> 00:44:29,799
Speaker 2: was from Robert Woodbury. Thank you so much.

853
00:44:30,560 --> 00:44:31,680
Speaker 1: This is wild.

854
00:44:31,880 --> 00:44:35,120
Speaker 2: This is from just August seventeenth, twenty twenty three. This

855
00:44:35,200 --> 00:44:39,000
Speaker 2: is Smithsonian Magazine, written by Will Sullivan, best in the biz.

856
00:44:39,600 --> 00:44:45,279
Speaker 2: So good scientists recreated a Pink Floyd song from listeners'

857
00:44:45,360 --> 00:44:50,960
Speaker 2: brain waves. Wow, So electrodes collected brain signals while people

858
00:44:51,000 --> 00:44:54,839
Speaker 2: listen to another Brick in the Wall Part one. Then

859
00:44:55,000 --> 00:44:59,200
Speaker 2: computers produced a garbled but recognizable track.

860
00:45:00,440 --> 00:45:04,239
Speaker 4: This is wild. So it's literally the.

861
00:45:04,600 --> 00:45:09,960
Speaker 2: Machine is just reading someone's brain waves and then compiling

862
00:45:10,120 --> 00:45:13,520
Speaker 2: and pumping out what your brain is hearing.

863
00:45:14,120 --> 00:45:16,440
Speaker 1: That's nuts. So yeah, here, I'll just give you the beginning.

864
00:45:16,800 --> 00:45:19,160
Speaker 2: A computer model has reconstructed a snippet of a Pink

865
00:45:19,200 --> 00:45:21,840
Speaker 2: Floid song by reading the brain activity of people listening

866
00:45:21,920 --> 00:45:24,520
Speaker 2: to the tune. In a new study published tuesday in

867
00:45:24,560 --> 00:45:29,520
Speaker 2: the journal Plos Biology, Terrible Law Heard of It, Participants

868
00:45:29,520 --> 00:45:31,719
Speaker 2: with electrodes on their brains listen to another Brick in

869
00:45:31,760 --> 00:45:34,000
Speaker 2: the Wall Part one, from the rock band's nineteen seventy

870
00:45:34,080 --> 00:45:37,160
Speaker 2: nine album The Wall. Researchers then use the computer model

871
00:45:37,200 --> 00:45:41,320
Speaker 2: to convert the electrodes signals into audio. The recreated bars

872
00:45:41,600 --> 00:45:44,959
Speaker 2: sound garbled and hazy. It distorted echo of the original track,

873
00:45:45,200 --> 00:45:48,240
Speaker 2: but unmistakable elements of the song's rhythm, melody and harmony

874
00:45:48,320 --> 00:45:48,919
Speaker 2: shine through.

875
00:45:49,440 --> 00:45:50,799
Speaker 4: It's a technical tour to forest.

876
00:45:50,920 --> 00:45:54,560
Speaker 2: Robert Zatoria, neuroscientist at McGill University, in Canada, who did

877
00:45:54,600 --> 00:45:58,440
Speaker 2: not contribute to the findings. Good says of the research

878
00:45:58,480 --> 00:46:01,920
Speaker 2: to The New York Times. Hanos Ki euros these exciting

879
00:46:01,960 --> 00:46:05,480
Speaker 2: fightings built on previous work to reconstruct plain speech from

880
00:46:05,560 --> 00:46:09,680
Speaker 2: brain activity. Now we're really yeah, now we're able to

881
00:46:09,680 --> 00:46:12,680
Speaker 2: really dig into the brain to under unearth the sustance

882
00:46:12,800 --> 00:46:16,840
Speaker 2: of sound. It's like, uh, it's like you're listening to

883
00:46:16,960 --> 00:46:18,360
Speaker 2: the music underwater.

884
00:46:18,760 --> 00:46:21,520
Speaker 4: That's what it sounds like. It's like that makes sense

885
00:46:21,760 --> 00:46:24,279
Speaker 4: almost like or through.

886
00:46:24,040 --> 00:46:27,759
Speaker 2: A scum, yes, like through a bunch of matter the

887
00:46:27,800 --> 00:46:28,680
Speaker 2: size of a brain.

888
00:46:28,840 --> 00:46:30,239
Speaker 4: Like it's crazy.

889
00:46:32,800 --> 00:46:35,080
Speaker 1: So this is that is wild because they're gonna be

890
00:46:35,080 --> 00:46:37,320
Speaker 1: able to start reading minds. They're gonna be able to

891
00:46:37,320 --> 00:46:40,200
Speaker 1: start reading if they can yes, yeah, if they can

892
00:46:40,239 --> 00:46:43,719
Speaker 1: shazam a brain to hear music based on wavelength, then

893
00:46:44,280 --> 00:46:46,640
Speaker 1: they have your voice and your vocabulary. They'll be able

894
00:46:46,680 --> 00:46:48,440
Speaker 1: to know what you're thinking. There'll be something that can

895
00:46:48,480 --> 00:46:50,520
Speaker 1: be able to tell what you're thinking exactly.

896
00:46:50,560 --> 00:46:56,960
Speaker 6: This is they collected this bye by putting nodes on

897
00:46:57,040 --> 00:46:58,160
Speaker 6: you and then playing the.

898
00:46:58,160 --> 00:46:58,719
Speaker 5: Song for you.

899
00:46:59,400 --> 00:47:02,520
Speaker 2: Yeah, so they would they would put the electrodes on

900
00:47:02,560 --> 00:47:05,400
Speaker 2: the brain, or maybe it was an MRI. I'm not sure.

901
00:47:06,480 --> 00:47:09,760
Speaker 2: And then I think it was an MRI scientist then

902
00:47:10,000 --> 00:47:13,799
Speaker 2: and they would play that specific fifteen seconds and then

903
00:47:13,840 --> 00:47:16,360
Speaker 2: they would like see and map it and then like

904
00:47:16,400 --> 00:47:18,960
Speaker 2: play it over and over again. And then they had

905
00:47:19,320 --> 00:47:22,640
Speaker 2: a recording of a person listening to the song, and

906
00:47:22,680 --> 00:47:25,640
Speaker 2: they essentially gave it to this like neural net and

907
00:47:25,680 --> 00:47:29,080
Speaker 2: it reconstructed what it thought the song was without having

908
00:47:29,120 --> 00:47:30,920
Speaker 2: a reference to what the original song was.

909
00:47:33,000 --> 00:47:34,480
Speaker 1: Right, I've never.

910
00:47:34,400 --> 00:47:35,960
Speaker 5: Felt dumber, honestly.

911
00:47:36,160 --> 00:47:39,080
Speaker 1: Yeah.

912
00:47:39,200 --> 00:47:42,680
Speaker 5: Yeah, it's almost like I do. It's almost like I

913
00:47:42,840 --> 00:47:49,279
Speaker 5: refuse to learn what you keep saying. You know, It's

914
00:47:49,280 --> 00:47:51,040
Speaker 5: like I hear the words coming out of your mouth

915
00:47:51,040 --> 00:47:54,080
Speaker 5: and I'm over here going how is that possible? It's

916
00:47:54,120 --> 00:47:54,720
Speaker 5: like the internet.

917
00:47:54,760 --> 00:47:55,960
Speaker 1: I don't know how.

918
00:47:56,200 --> 00:47:57,800
Speaker 4: I don't know how it's possible.

919
00:47:57,960 --> 00:47:58,279
Speaker 5: I don't.

920
00:47:58,280 --> 00:47:58,680
Speaker 1: I just don't.

921
00:47:59,239 --> 00:48:00,760
Speaker 5: I don't even believe it, is my point.

922
00:48:01,239 --> 00:48:02,640
Speaker 4: Oh you don't believe it?

923
00:48:03,200 --> 00:48:06,240
Speaker 5: What are we talking about here? Listen to the brain

924
00:48:06,320 --> 00:48:07,080
Speaker 5: and then showed you.

925
00:48:07,080 --> 00:48:12,719
Speaker 1: The My vote is stop right now, my vote? Look

926
00:48:12,760 --> 00:48:15,360
Speaker 1: what we've done with AI? What are we doing? We

927
00:48:15,440 --> 00:48:18,040
Speaker 1: don't need to read each other's minds. When I look

928
00:48:18,080 --> 00:48:20,279
Speaker 1: around a crowd of people, when I'm at even a

929
00:48:20,320 --> 00:48:22,560
Speaker 1: party of friends, I like, I don't want to know

930
00:48:22,600 --> 00:48:25,319
Speaker 1: what they're all thinking. I don't need to know. I

931
00:48:25,360 --> 00:48:29,600
Speaker 1: think that's creepy. Everybody. The last privacy we have is

932
00:48:29,640 --> 00:48:31,719
Speaker 1: between the years, and I'm like, it's good. I don't

933
00:48:31,719 --> 00:48:34,279
Speaker 1: need anybody to be like Scotty try on this really

934
00:48:34,320 --> 00:48:37,319
Speaker 1: funny hat. I'm like, great, and then like we hate him,

935
00:48:37,440 --> 00:48:39,839
Speaker 1: he has horrible thoughts. We don't like him anymore. As

936
00:48:39,840 --> 00:48:44,480
Speaker 1: a man, I say, cut it off right now, nerds,

937
00:48:44,560 --> 00:48:45,839
Speaker 1: give it up, nerds.

938
00:48:47,000 --> 00:48:48,800
Speaker 5: Yeah, I don't need anybody knowing what's in there. I

939
00:48:48,840 --> 00:48:53,719
Speaker 5: already share too much exactly, that's our job. But I

940
00:48:53,719 --> 00:48:55,680
Speaker 5: do think it would help people who are non.

941
00:48:55,600 --> 00:48:57,239
Speaker 4: Verbal as both exactly.

942
00:48:57,560 --> 00:48:59,880
Speaker 2: Yeah, yeah, yeah, so you can have like a little

943
00:49:00,160 --> 00:49:02,120
Speaker 2: like you could walk around with like a little head

944
00:49:02,120 --> 00:49:04,520
Speaker 2: that would talk for you if you were like nonverbal.

945
00:49:04,880 --> 00:49:10,040
Speaker 1: Okay, I'm back on figure now, keep like what I'm hearing.

946
00:49:10,200 --> 00:49:14,000
Speaker 6: But similarly to like maybe someone who's never heard or

947
00:49:14,239 --> 00:49:17,279
Speaker 6: who's hard of hearing, and then sometimes when they go

948
00:49:17,320 --> 00:49:18,960
Speaker 6: to speak, that's difficult.

949
00:49:18,960 --> 00:49:21,319
Speaker 5: I want, I don't That's the part I'm tripped up on.

950
00:49:21,760 --> 00:49:25,799
Speaker 2: If they were nonverbal, would how would they know what

951
00:49:25,840 --> 00:49:26,680
Speaker 2: the brain was saying?

952
00:49:26,760 --> 00:49:26,920
Speaker 9: Right?

953
00:49:27,000 --> 00:49:29,400
Speaker 2: Yeah, yeah, So you could say you could show that

954
00:49:29,440 --> 00:49:31,800
Speaker 2: person like a picture of an apple, and then record

955
00:49:31,880 --> 00:49:34,080
Speaker 2: what happened in their brain, and then show them an

956
00:49:34,120 --> 00:49:36,080
Speaker 2: apple a couple of times, record what happened to their brain,

957
00:49:36,080 --> 00:49:38,040
Speaker 2: and then you just do it with a bunch of words,

958
00:49:38,880 --> 00:49:40,560
Speaker 2: and so then you see where it lights up.

959
00:49:41,080 --> 00:49:43,800
Speaker 4: Yeah, the only thing they can say is Apple.

960
00:49:44,320 --> 00:49:47,800
Speaker 1: Yeah, or you just stick with what works. Apple's a

961
00:49:47,840 --> 00:49:50,399
Speaker 1: big company and it's a funny thing to say. It's

962
00:49:50,440 --> 00:49:54,239
Speaker 1: a good punchline for a lot of jokes. Damn, that

963
00:49:54,480 --> 00:49:57,879
Speaker 1: is wild news. That's yes, that's crazy.

964
00:49:58,040 --> 00:50:01,600
Speaker 2: That is I'm sorry everyone so much that we didn't

965
00:50:01,600 --> 00:50:04,759
Speaker 2: even have fun with it. But Scotty, we give me

966
00:50:05,080 --> 00:50:08,799
Speaker 2: a last Yeah, no, that's not on you.

967
00:50:09,160 --> 00:50:10,399
Speaker 5: That was a bit of a stick in the mud

968
00:50:10,440 --> 00:50:11,080
Speaker 5: on that one.

969
00:50:11,560 --> 00:50:14,359
Speaker 2: I often do bring in stories that I think are

970
00:50:14,400 --> 00:50:17,320
Speaker 2: fascinating and everyone's like, well, that's scary.

971
00:50:18,280 --> 00:50:20,759
Speaker 1: I think that one's very fascinating. But I do think

972
00:50:20,840 --> 00:50:25,040
Speaker 1: also shut it down, nerds, un unless it's a nonverbal

973
00:50:25,080 --> 00:50:28,279
Speaker 1: person carrying a head that starts speaking it for it.

974
00:50:28,960 --> 00:50:32,400
Speaker 1: Then I say, fire at wheel, nerds. You're doing great.

975
00:50:32,160 --> 00:50:35,520
Speaker 4: Work, all right, Scott It send us home with one.

976
00:50:35,680 --> 00:50:39,200
Speaker 1: Okay, A dad drove seventeen hours from New Jersey to

977
00:50:39,280 --> 00:50:42,160
Speaker 1: Disney World when his family's flight was canceled and didn't

978
00:50:42,200 --> 00:50:46,799
Speaker 1: even step foot inside the park. Yes, power Dad, move here.

979
00:50:47,719 --> 00:50:52,840
Speaker 1: This was sentence by John richardson PDX. This was in

980
00:50:53,000 --> 00:50:56,239
Speaker 1: Business Insider India. It was in other places, but I

981
00:50:56,360 --> 00:51:00,160
Speaker 1: chose Business Insider India. One didn't know that was a website.

982
00:51:00,280 --> 00:51:04,040
Speaker 1: Two it was written by the most Indian sounding name

983
00:51:04,080 --> 00:51:07,920
Speaker 1: in the world, Monica Humphreys wrote this one for Business

984
00:51:07,960 --> 00:51:15,720
Speaker 1: Insider India. Best in the biswacks. Nathan Montanez didn't hadn't

985
00:51:15,719 --> 00:51:17,880
Speaker 1: planned on a road trip. Instead, he was tasked to

986
00:51:17,920 --> 00:51:20,560
Speaker 1: drive his wife, Jill, and their two children from their

987
00:51:20,560 --> 00:51:23,040
Speaker 1: home New Jersey to the airport. From there, the rest

988
00:51:23,040 --> 00:51:24,799
Speaker 1: of the family was going to fly to Orlando to

989
00:51:24,960 --> 00:51:29,000
Speaker 1: a Disney World vacation, but after a canceled flight, Nathan

990
00:51:29,040 --> 00:51:32,280
Speaker 1: took a much bigger task on driving seventeen hours straight

991
00:51:32,440 --> 00:51:36,040
Speaker 1: to those theme parks. Jill had spent his wife had

992
00:51:36,040 --> 00:51:38,239
Speaker 1: spent months planning the trip to Disney Work for their

993
00:51:38,280 --> 00:51:40,600
Speaker 1: two children. They planned to visit the Magic Kingdom, blah

994
00:51:40,640 --> 00:51:43,400
Speaker 1: blah blah, go to Orlando theme parks. Nathan, on the

995
00:51:43,400 --> 00:51:46,640
Speaker 1: other hand was staying behind to work. So on the

996
00:51:46,719 --> 00:51:48,440
Speaker 1: day of their flight, when Nathan dropped his wife and

997
00:51:48,440 --> 00:51:52,160
Speaker 1: two kids off the airport fifteen minutes before their departure time,

998
00:51:52,600 --> 00:51:54,719
Speaker 1: United Airlines canceled their flight.

999
00:51:55,960 --> 00:51:59,120
Speaker 2: Fifteen minutes before their departure time. They were they're missing

1000
00:51:59,160 --> 00:52:00,239
Speaker 2: that flight, no matter what.

1001
00:52:01,040 --> 00:52:04,320
Speaker 1: Yeah, the next available flight wasn't for two days.

1002
00:52:05,200 --> 00:52:07,560
Speaker 4: Where did they live, alask.

1003
00:52:08,680 --> 00:52:11,799
Speaker 1: New Jersey. There's no airports near New Jersey. There's none.

1004
00:52:13,400 --> 00:52:14,360
Speaker 5: Not to fly United.

1005
00:52:15,160 --> 00:52:16,480
Speaker 1: Thank you.

1006
00:52:16,520 --> 00:52:19,200
Speaker 4: Nobody's talking about flying United tomorrow morning.

1007
00:52:20,480 --> 00:52:25,360
Speaker 1: You thank you the car, Kurt. Yeah. I explained to

1008
00:52:25,400 --> 00:52:27,799
Speaker 1: my kids that sometimes life gives you lemons, and we'd

1009
00:52:27,840 --> 00:52:30,759
Speaker 1: try again to get to Disney. Jill, the mother said,

1010
00:52:31,000 --> 00:52:35,360
Speaker 1: But Nathan and other plans for the lemons in their life.

1011
00:52:35,000 --> 00:52:37,680
Speaker 1: But he headed back to the airport to pick his family,

1012
00:52:37,680 --> 00:52:40,000
Speaker 1: who thought they were driving home, but instead Nathan set

1013
00:52:40,040 --> 00:52:42,719
Speaker 1: off for Florida. When we got in the car, we

1014
00:52:42,719 --> 00:52:44,680
Speaker 1: were all defeated. He asked if we were ready to go.

1015
00:52:44,800 --> 00:52:47,640
Speaker 1: We said yup, thinking we were going home. Then he

1016
00:52:47,680 --> 00:52:50,000
Speaker 1: told us to get ready for a long drive. Then

1017
00:52:50,040 --> 00:52:52,480
Speaker 1: he put on the song on the road again and

1018
00:52:52,600 --> 00:52:57,759
Speaker 1: told us we were driving to Disney. No bye on

1019
00:52:57,800 --> 00:53:05,000
Speaker 1: the road, they might have covered it. M Nathan drove

1020
00:53:05,080 --> 00:53:07,560
Speaker 1: seventeen hours straight, more than one thousand miles to get

1021
00:53:07,640 --> 00:53:10,080
Speaker 1: his family to Disney World. When the family arrived in

1022
00:53:10,200 --> 00:53:13,640
Speaker 1: Orlando and didn't miss a single day at the theme parks,

1023
00:53:13,920 --> 00:53:18,200
Speaker 1: Nathan turned around and headed back to New Jersey. This

1024
00:53:18,400 --> 00:53:21,960
Speaker 1: is so great, I want a dad move. He missed

1025
00:53:22,080 --> 00:53:25,600
Speaker 1: just one day of his supply chain's networking job. Not

1026
00:53:25,719 --> 00:53:28,040
Speaker 1: many people in this world would do that, Jill told

1027
00:53:28,160 --> 00:53:31,960
Speaker 1: Good News Network, and the kids absolutely appreciated what their

1028
00:53:32,040 --> 00:53:33,040
Speaker 1: dad did for them.

1029
00:53:33,560 --> 00:53:36,400
Speaker 4: There, ye go, and you know what they're They're in

1030
00:53:36,560 --> 00:53:38,480
Speaker 4: for a rude awakening.

1031
00:53:40,280 --> 00:53:43,279
Speaker 2: When they try to take their return flight back and

1032
00:53:43,440 --> 00:53:46,279
Speaker 2: United informs them, if you're not on your outgoing flight,

1033
00:53:46,360 --> 00:53:50,320
Speaker 2: we cancel your return flight. So they had they got

1034
00:53:50,360 --> 00:53:53,480
Speaker 2: fucked by the airplane on the way back as well.

1035
00:53:53,880 --> 00:53:55,600
Speaker 1: Yeh, boy, I didn't know that.

1036
00:53:55,760 --> 00:53:58,920
Speaker 6: They all do that if you're not on if you're

1037
00:53:58,920 --> 00:54:01,360
Speaker 6: not on your original flight, your returns canceled.

1038
00:54:02,040 --> 00:54:04,360
Speaker 4: Yeah, because they so bogs.

1039
00:54:04,920 --> 00:54:06,000
Speaker 1: It's so bush.

1040
00:54:06,040 --> 00:54:08,080
Speaker 5: Wait wait, did you have a reason why, Kurt, why

1041
00:54:08,080 --> 00:54:08,680
Speaker 5: do they do that?

1042
00:54:09,239 --> 00:54:13,399
Speaker 2: Oh? It's it's called skip lagging, and they and they

1043
00:54:13,640 --> 00:54:15,319
Speaker 2: think they lose money on it, but I don't know

1044
00:54:15,320 --> 00:54:17,480
Speaker 2: how they do. There's a website called skip lagging dot

1045
00:54:17,480 --> 00:54:21,919
Speaker 2: com where basically there's certain flights that if you're trying

1046
00:54:21,920 --> 00:54:25,960
Speaker 2: to get to Tampa for say, for instance, but you

1047
00:54:26,080 --> 00:54:29,160
Speaker 2: book a flight to la that just has happens to

1048
00:54:29,200 --> 00:54:31,799
Speaker 2: have a stop in Tampa and then get off the

1049
00:54:31,840 --> 00:54:35,200
Speaker 2: plane and Tampa it's often cheaper than flying to Tampa

1050
00:54:35,280 --> 00:54:39,360
Speaker 2: or something like that. And so if the person doesn't

1051
00:54:39,400 --> 00:54:42,000
Speaker 2: take the next flight, they claim they lose money, but

1052
00:54:42,080 --> 00:54:46,640
Speaker 2: I don't know why. So they've been trying to shut

1053
00:54:46,640 --> 00:54:50,520
Speaker 2: this United suit them and they lost this skip lagging

1054
00:54:50,560 --> 00:54:53,920
Speaker 2: company because it's often just cheaper to book a round

1055
00:54:53,960 --> 00:54:55,680
Speaker 2: trip than it is a one way.

1056
00:54:56,200 --> 00:54:57,640
Speaker 1: I got it that.

1057
00:54:57,880 --> 00:54:59,760
Speaker 4: Yeah, nuts, isn't that crazy.

1058
00:55:00,960 --> 00:55:04,880
Speaker 5: Yeah, they're screwed. So Nathan just dropped them off and

1059
00:55:04,920 --> 00:55:07,920
Speaker 5: then drove back. He did thirty hours straight, thirty two

1060
00:55:07,920 --> 00:55:08,480
Speaker 5: hours straight.

1061
00:55:08,600 --> 00:55:11,760
Speaker 1: Yeah, he made it to work the so he missed

1062
00:55:11,800 --> 00:55:14,960
Speaker 1: one day of work. So yeah, he drove and he missed.

1063
00:55:14,920 --> 00:55:18,160
Speaker 5: No time with his mistress. Because that's exactly what's happening.

1064
00:55:18,840 --> 00:55:25,400
Speaker 8: He's like, that's right, He's just like I'm getting this time, Alad.

1065
00:55:26,000 --> 00:55:26,799
Speaker 1: I don't give a.

1066
00:55:26,719 --> 00:55:28,800
Speaker 4: Shit if I have to drive thirty hours.

1067
00:55:28,960 --> 00:55:31,400
Speaker 1: I am having four days a load in the house.

1068
00:55:34,280 --> 00:55:37,440
Speaker 5: I ordered Magiano's on gold Belly for me and Marsha

1069
00:55:37,719 --> 00:55:41,279
Speaker 5: and it arrives tomorrow.

1070
00:55:42,520 --> 00:55:45,520
Speaker 4: Oh, Beth, thank you so much for being on the show.

1071
00:55:45,920 --> 00:55:46,560
Speaker 5: You're welcome.

1072
00:55:46,600 --> 00:55:50,000
Speaker 6: I'm here to bring the worst case scenario with men

1073
00:55:50,680 --> 00:55:51,640
Speaker 6: at all times.

1074
00:55:52,239 --> 00:55:56,400
Speaker 1: Smart Honestly, our fans appreciate that very much.

1075
00:55:56,920 --> 00:55:59,880
Speaker 5: If you have a broken picker, I'm your girl.

1076
00:56:01,760 --> 00:56:02,320
Speaker 1: Plug away.

1077
00:56:03,120 --> 00:56:06,280
Speaker 6: Okay, I'm going to be in Atlanta at City Winery

1078
00:56:07,040 --> 00:56:08,200
Speaker 6: September eighth.

1079
00:56:08,840 --> 00:56:11,920
Speaker 4: Oh, I'm going to miss you at a couple of weeks.

1080
00:56:12,239 --> 00:56:12,640
Speaker 2: Dang.

1081
00:56:13,160 --> 00:56:14,920
Speaker 5: And then wise, guys in Utah.

1082
00:56:14,680 --> 00:56:17,040
Speaker 4: Are you getting the are you getting the wine made?

1083
00:56:17,600 --> 00:56:17,839
Speaker 5: Yes?

1084
00:56:18,640 --> 00:56:19,239
Speaker 1: They are two?

1085
00:56:19,800 --> 00:56:20,560
Speaker 4: Yeah, exciting.

1086
00:56:21,239 --> 00:56:23,279
Speaker 5: Did you how did you do your label? Did you

1087
00:56:23,280 --> 00:56:23,799
Speaker 5: do your own?

1088
00:56:23,840 --> 00:56:25,560
Speaker 2: I sent a picture to them and they're like, we'll

1089
00:56:25,640 --> 00:56:28,480
Speaker 2: send you back a design. And that never hasn't happened yet.

1090
00:56:29,120 --> 00:56:32,920
Speaker 5: I have been so in the communication. Is not amazing.

1091
00:56:34,239 --> 00:56:37,759
Speaker 2: City Winery, come on, they're probably they're big. It's a

1092
00:56:37,840 --> 00:56:39,799
Speaker 2: crazy thing to make a wine for every I guess

1093
00:56:39,840 --> 00:56:41,560
Speaker 2: all they're doing is printing out a label for the

1094
00:56:41,600 --> 00:56:42,239
Speaker 2: wine that they have.

1095
00:56:42,360 --> 00:56:44,640
Speaker 5: But still, and I think you've signed the labels and

1096
00:56:44,680 --> 00:56:45,200
Speaker 5: then they.

1097
00:56:45,080 --> 00:56:45,680
Speaker 1: Slap it on.

1098
00:56:45,960 --> 00:56:49,760
Speaker 4: If I drink, you end up.

1099
00:56:49,880 --> 00:56:51,839
Speaker 5: Drinking all your own wine.

1100
00:56:52,320 --> 00:56:55,640
Speaker 1: We lost four thousand dollars fun.

1101
00:56:56,400 --> 00:56:59,040
Speaker 6: I asked if they could change my date instead of

1102
00:56:59,040 --> 00:57:01,800
Speaker 6: the date of and I'm there to my special and

1103
00:57:01,840 --> 00:57:03,000
Speaker 6: then I got a case.

1104
00:57:02,880 --> 00:57:03,520
Speaker 5: For the premiere.

1105
00:57:03,560 --> 00:57:03,840
Speaker 1: Smart.

1106
00:57:04,080 --> 00:57:05,880
Speaker 4: Oh that's smart. That's great.

1107
00:57:06,080 --> 00:57:08,680
Speaker 5: So that's the plan October third, Netflix.

1108
00:57:08,719 --> 00:57:10,919
Speaker 6: If you didn't want me, then catch me on tour

1109
00:57:11,120 --> 00:57:17,400
Speaker 6: Beth Stelling dot com Backslash Tour Atlanta September eighth, Utah,

1110
00:57:17,520 --> 00:57:18,640
Speaker 6: Jordan Landing.

1111
00:57:18,360 --> 00:57:19,640
Speaker 5: September fifteen, sixteenth.

1112
00:57:20,080 --> 00:57:23,720
Speaker 6: I'll be in Fort Collins September twenty one and twenty

1113
00:57:23,720 --> 00:57:25,400
Speaker 6: two or twenty two and twenty three or something.

1114
00:57:25,520 --> 00:57:28,600
Speaker 1: But animals, get out there, go see Beth live. You're

1115
00:57:28,640 --> 00:57:30,880
Speaker 1: going to a lover. You're gonna laugh and laugh and laugh.

1116
00:57:31,200 --> 00:57:33,680
Speaker 6: So yeah, thank you guys for hyping me. I always

1117
00:57:33,720 --> 00:57:36,439
Speaker 6: appreciate you having me on and all of your love.

1118
00:57:38,000 --> 00:57:38,960
Speaker 6: You feel loved by me.

1119
00:57:39,640 --> 00:57:41,240
Speaker 1: I hope you see you soon. I haven't seen you

1120
00:57:41,280 --> 00:57:44,080
Speaker 1: in real life in New Years, probably I will.

1121
00:57:44,320 --> 00:57:46,040
Speaker 6: And the last time, you're right, the last time we

1122
00:57:46,040 --> 00:57:48,240
Speaker 6: were on here, it was very like. We definitely had

1123
00:57:48,240 --> 00:57:49,880
Speaker 6: fun because we were just being silly. But it was

1124
00:57:49,920 --> 00:57:53,520
Speaker 6: like it felt it was weird. It was a time

1125
00:57:53,960 --> 00:57:55,920
Speaker 6: I know for sure that I wasn't a very.

1126
00:57:55,840 --> 00:57:58,920
Speaker 5: Like weird place because.

1127
00:57:58,640 --> 00:57:59,760
Speaker 1: It's just like what a.

1128
00:58:01,680 --> 00:58:04,520
Speaker 6: Not podcasting, I just mean in life it felt so weird.

1129
00:58:05,000 --> 00:58:06,640
Speaker 6: Obviously the whole world experience that.

1130
00:58:06,760 --> 00:58:09,280
Speaker 1: But now we're coming out. Now it's all blue skies

1131
00:58:10,040 --> 00:58:14,600
Speaker 1: except ours again except nowhere. We're all unemployed because of

1132
00:58:14,600 --> 00:58:15,200
Speaker 1: our unions.

1133
00:58:15,280 --> 00:58:18,760
Speaker 3: But sport we supply we will or some.

1134
00:58:19,760 --> 00:58:19,920
Speaker 9: Yeah.

1135
00:58:19,960 --> 00:58:22,200
Speaker 5: I hope I get to see you, Scott you maybe

1136
00:58:22,240 --> 00:58:23,160
Speaker 5: we can all go together.

1137
00:58:24,040 --> 00:58:29,040
Speaker 1: I'll text you barbecue. Oh yeah, Bananas?

1138
00:58:32,600 --> 00:58:34,720
Speaker 5: Is that the sound of a banana?

1139
00:58:35,000 --> 00:58:35,800
Speaker 4: That's how I ended.

1140
00:58:45,760 --> 00:58:48,320
Speaker 1: Bananas is an exactly right media production.

1141
00:58:48,440 --> 00:58:50,800
Speaker 4: Our producer and engineer is Katie Levine.

1142
00:58:51,080 --> 00:58:54,320
Speaker 1: The catchy Bananas theme song was composed and performed by Khan.

1143
00:58:54,560 --> 00:58:57,920
Speaker 2: Artwork for Bananas was designed by Travis Millard.

1144
00:58:57,880 --> 00:59:00,280
Speaker 1: And Our benevolent overlords are the Great care and Kill

1145
00:59:00,320 --> 00:59:01,520
Speaker 1: Gareff and Georgia Hartstar

1146
00:59:01,720 --> 00:59:04,480
Speaker 2: And Lisa Maggott is our full human, not a robot

1147
00:59:04,600 --> 00:59:06,080
Speaker 2: intern