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Speaker 1: Scotty. Guess what what?

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Speaker 2: I'm going back to Minneapolis. Okay, I'm sorry, I'm not

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Speaker 2: bringing you. I'm doing stand up at ACME. Uh December first, second,

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Speaker 2: and third. Come on out. That's a Thursday, Friday and

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Speaker 2: Saturday at ACME. And it's a fantastic club and it'll

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Speaker 2: be really fun and we'll do some stand up and

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Speaker 2: we'll hang out.

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Speaker 1: Oh that's so fun. So go see Kurt at ACME

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Speaker 1: in Minneapolis.

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Speaker 2: December first through third.

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Speaker 1: You ready? Ooh, I'm ready to love and love and love.

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Speaker 1: This one's great.

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Speaker 2: Oh good call him Licksso. Man paints beaver with world's

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Speaker 2: longest tongue.

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Speaker 1: Man paints beaver with world's longest tongue. Damn, I'm ready

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Speaker 1: for this episode of Bananas Your Bud, nor sillion pieces, shotten.

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Speaker 2: Guys, gowns, and non binary pals. Welcome to bun Nanas.

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Speaker 2: I'm Kurt Brown older, I.

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

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Speaker 1: tuning in to our silly news podcast oft described as

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Speaker 1: the silliest little podcast there ever was.

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Speaker 2: Scottie, how you feeling, bud, Dude?

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Speaker 1: I am I have nine hundred plates spinning today and

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Speaker 1: even while we're recording, I'm trying to I'm doing a

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Speaker 1: big I guess fall cleaning in my house, and so

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Speaker 1: I'm like selling a bunch of stuff on offer up

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Speaker 1: and I have people that are like, I'll be there,

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Speaker 1: and everybody's coming uh late. Everybody's over half an hour

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Speaker 1: late while I'm also doing work stuff while we're also recording.

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Speaker 1: So if I suddenly disappear for five minutes, it's me

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Speaker 1: taking cash from somebody and probably getting forced to load

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Speaker 1: a dresser into their like Honta Civic.

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Speaker 2: Oh wow, that's awesome. What a treat for you.

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Speaker 1: What a day, what a beautiful whatever day of the

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Speaker 1: week it is. I just as always as I always do.

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Speaker 2: At the top of Bananas, I want to remind you

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Speaker 2: that my comedy special Perfectly Stupid is out there right now.

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Speaker 2: You can go watch it, and if you do, I

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Speaker 2: would appreciate it, not just and you're not doing me

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Speaker 2: a favor, You'll be doing yourself a favor.

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Speaker 1: That's right. It's entertainment. And I was there for the

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Speaker 1: tapings in Denver. We had a rock and time. There

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Speaker 1: were a lot of people dressed as bananas. There. There

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Speaker 1: were like fifteen Charlie fromages. It was just a night

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Speaker 1: to remember. Mm mmmmm.

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Speaker 2: And well, you know what, let's get should we get

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Speaker 2: to our fantastic gas Scottie.

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Speaker 1: I can't wait. I'm vibrating with just excitement about this

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Speaker 1: entire episode.

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Speaker 2: She is so funny, she was she was fed to

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Speaker 2: me mouth open like a baby bird by the Instagram algorithm. Really, yes,

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Speaker 2: I've actually discovered a bunch of New York because you know,

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Speaker 2: I'm not a number in New York. Discovered a bunch

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Speaker 2: of New York comedians this way because I found a

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Speaker 2: lot of comics on Instagram. And she's just so so funny.

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Speaker 2: She is a stand up. She's been on Fallon, she's

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Speaker 2: been on Comedy Central. I had pieces of the New Yorker.

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Speaker 2: So please welcome the absolutely hilarious and fantastic Chloe Radcliffe.

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Speaker 3: Yeah, that's right, both hilarious and fantastic.

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Speaker 1: Yeah. That's a great way to be. That's a good

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Speaker 1: way to live a life.

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Speaker 2: It's true, Chloe, Thank you, it's true.

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Speaker 4: Thank you.

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Speaker 2: This is actually our first time meeting. As I stated

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Speaker 2: in your intro, you were fed to me on the

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Speaker 2: Instagram algorithm and you're just so so so fun Thank you.

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Speaker 3: Thank you so much. I pay Instagram to force people

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Speaker 3: to watch me. Please, God, the god of social media,

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Speaker 3: let people discover me.

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Speaker 1: No, I'm I though.

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Speaker 4: Yeah, I Kurt. I've seen you.

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Speaker 3: A handful of times because I have done hot tub

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Speaker 3: a few times, so I have watched you from Afar

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Speaker 3: and we maybe have met in the green room. But

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Speaker 3: I but oh yes we probably yeah, but just just

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Speaker 3: truly in passing.

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Speaker 4: So I'm very glad to now be meeting you on

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Speaker 4: a computer.

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Speaker 1: Yep, the best way to meet people. What a thrill

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Speaker 1: and me watching YouTube meet on zoom. It's just warm.

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Speaker 4: Yeah, sorry, Scotty. What's your name?

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Speaker 1: Yeah? True, nobody, I'm nobody. But man, this is really

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Speaker 1: getting me in the mood for Thanksgiving, just seeing all

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Speaker 1: these new friends becoming friend Yes.

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Speaker 4: Yeah, we're like a family already.

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Speaker 1: You're it's right.

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Speaker 2: You're in Los Angeles. How are you liking it?

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Speaker 3: I I am like you. Every time I come to LA.

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Speaker 3: I like it more than I liked it the time before. Yeah,

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Speaker 3: it does have an it has a growth curve.

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Speaker 2: But it takes a while while to figure it out.

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Speaker 2: I remember I realized that because I was in New

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Speaker 2: York for fourteen years, I realized that the first six

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Speaker 2: months I lived in LA, what I was essentially doing

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Speaker 2: was like if I lived in New York, if I

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Speaker 2: needed like toilet paper, and I lived in Brooklyn, I

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Speaker 2: was doing the LA equivalent of going to Times Square

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Speaker 2: to buy toilet paper and then coming back to Brooklyn

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Speaker 2: and being like, this city sucks.

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Speaker 4: Yeah, Wait where were you going? What was what was happening?

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Speaker 2: No, just like because I would I was. I was

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Speaker 2: living in Silver Lake, and I was always going like

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Speaker 2: east into Hollywood to do anything. And I was like,

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Speaker 2: I mean, I was going west into Hollywood to do anything,

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Speaker 2: and it's just awful. It's just awful over there. And

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Speaker 2: so then I realized, like, oh everything there's there's like

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Speaker 2: little towns all over.

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Speaker 4: There's toilet there's.

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Speaker 2: Toilet paper right here. Yeah, so I found all my

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Speaker 2: local Wow.

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Speaker 3: What I'm what a beautiful what a beautiful story I

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Speaker 3: it is. I just feel I'm waiting to feel and

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Speaker 3: I don't mean to shit on LA, but I'm waiting

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Speaker 3: to feel LA magic in the way that I feel

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Speaker 3: New York magic. And I've lived in New York for

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Speaker 3: five years and I still feel New York magic every week,

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Speaker 3: and I have and I have been to La many,

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Speaker 3: many times, and I I have yet to feel La

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Speaker 3: magic maybe ever.

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Speaker 4: But I know it exists. I know it is here.

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Speaker 4: I just am I'm looking for it. I'm hopeful.

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Speaker 2: I think La Magic is totally different from New York Magic.

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Speaker 2: La Magic has more to do with I think, like

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Speaker 2: nature shit, sure, true, you know, and being in like

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Speaker 2: just overwhelmed by gorgeousness that's like ten or fifteen minutes

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Speaker 2: away from or the other version of it is just

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Speaker 2: like having a pool and having a house and not

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Speaker 2: having to, you know, like struggle as much and be lazy.

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Speaker 2: Lay face down on the floor. Yes, that's La magic,

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Speaker 2: laying face down on the floor and giving up.

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Speaker 3: Buddy, I can lay face on the floor in New

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Speaker 3: York too. You know what New York City's good for

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Speaker 3: give it up? Yeah, yeah, I'm I'm but I gotta

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Speaker 3: say that, like times ago, a couple of visits ago,

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Speaker 3: I was like, I don't think there is La Magic.

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Speaker 3: And now I've gotten to the point where I'm saying

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Speaker 3: I am waiting to feel it.

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Speaker 4: So I'm improving.

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Speaker 2: Oh yeah, no, I was. I was in the exact

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Speaker 2: same boat. I always was like, no way, never ever

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Speaker 2: that's right, doing this New York City till I die, baby.

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Speaker 2: And then I came out here and I and then

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Speaker 2: bought house and I'm never getting back.

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Speaker 1: Yeah. Then we came out here and curtain. I went

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Speaker 1: to a flea market very early on in Long Beach

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Speaker 1: and Kurt just bought so much nautical stuff that I

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Speaker 1: was like, this guy's going through changing. He's a sailors

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Speaker 1: boat stuff, boat paintings, banker lamps. It was so funny.

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Speaker 1: I was like, the dude is ready for this is

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Speaker 1: me now, Kurt.

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Speaker 3: The question is do you still own all of that

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Speaker 3: nautical themed decorts?

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Speaker 1: Great question.

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Speaker 2: My wife made me get rid of all of it.

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Speaker 2: She was not happy that I bought it. I kind

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Speaker 2: of like just went for it. She was like, why

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Speaker 2: do what are we?

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Speaker 3: Like?

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Speaker 2: What do we?

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Speaker 1: Is this a Is this a sailor's bar that we

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Speaker 1: live in?

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Speaker 2: Are you gonna start putting up like a little a

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Speaker 2: little net with a plastic cram, you know, on the wall.

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Speaker 2: And I was like, yes, ken Wi.

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Speaker 4: She's like that's a great id. It sounds well, it

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Speaker 4: sounds like you sort of you know, you know when

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Speaker 4: you walk into the bathrooms and the bathrooms are.

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Speaker 3: Just ocean themed for no discernible reason other than this

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Speaker 3: is a place with plumbing and you're.

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Speaker 1: Like, yeah, sure, I guess there's water.

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Speaker 4: In both of these places. That sounds like the approach

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Speaker 4: that you took to your entire house.

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Speaker 1: That's right. Sometimes you just roll out the beach towel,

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Speaker 1: turn on the sun lamp, and just flush the toilet,

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Speaker 1: like waves crashing right next to your head. It's a

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Speaker 1: beautiful tone.

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Speaker 2: I mean, I I uh, I do kind of want

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Speaker 2: to live with the decor that is the desire, the

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Speaker 2: decor of a divorced dad's house boat that I think

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Speaker 2: would be my ideal decor. Yeah, no, no, ten, here

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Speaker 2: it is. Are you got you ready for this headline?

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Speaker 1: Chloe?

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Speaker 2: I mean yeah, call him lickaso. Man paints beaver with

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Speaker 2: world's longest tongue. Quote, it's a gift. I have to

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Speaker 2: use it.

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Speaker 1: His longest tongue is a gift that he needs to

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Speaker 1: use and by that he means with painting with it.

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Speaker 2: Yep, this is and I can't believe I've been sleeping

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Speaker 2: on this one.

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Speaker 1: Yeah wait wait.

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Speaker 4: Wait wait wait wait wait.

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Speaker 3: Is the does the man have the longest tongue or

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Speaker 3: does the beaver have the longest.

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Speaker 1: Tongue the man. The man has the long tongue. And

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Speaker 1: is he painting a portrait of a beaver or does

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Speaker 1: he have a stuffed beaver that he's painting.

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Speaker 2: Guys, we're going to get in question.

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Speaker 4: I mean, is it like, you know, thinly veiled in undo.

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Speaker 3: And he can paint that beaver with.

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Speaker 2: A long I mean perfect? Yeah, it's perfect really for

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Speaker 2: him to choose this. This was sent in by the immortal.

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Speaker 2: We have been we have been not purposefully missing his stories. Yeah,

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Speaker 2: copy haste, folks, he's going to his birthday. I'm going

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Speaker 2: all copy haste stories this episode.

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Speaker 1: Chloe, this means nothing to you. This is a fan

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Speaker 1: that has sent us thousands of stories over the last

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Speaker 1: two and a half years.

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Speaker 2: And he gets me. He gets me, and.

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Speaker 4: You use his stories frequently. Yes, yes, yes.

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Speaker 2: He's from the Huffington Post, written by David moy who

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Speaker 2: some say Scott.

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Speaker 1: Is best in the biz.

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Speaker 4: That's right, that's in the biz of weird news, biz.

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Speaker 1: Of tongue Beaver bisver tongue.

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Speaker 2: The tb byes the tcbyat TV the country's best young

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Speaker 2: beaver business right here is let me Yeah, the man

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Speaker 2: with the world's longest tongue is doing what he was

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Speaker 2: born to do, paint a beaver with his tongue.

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Speaker 1: Absolutely.

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Speaker 2: Nick Stowborough twenty six currently holds the Guinness World Records

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Speaker 2: for world's longest tongue, a whopping three point nine seven

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Speaker 2: inches from tip to closed lip.

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Speaker 1: Oh so thought longer.

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Speaker 2: It's it's like a full inch below his chin. I've

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Speaker 2: seen the pictures.

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Speaker 1: Tip to close lips. So when his tongue is out

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Speaker 1: from the tip of it back to his mouth is yes, reason,

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Speaker 1: And it's when.

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Speaker 3: He's got his tongue like stuck down like at right,

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Speaker 3: like I wish that should we just do the noise

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Speaker 3: that it makes since nobody's watching us on the zoom.

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Speaker 1: I have a normal tongue. Uh uh, that's probably scotty.

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Speaker 4: You call that a normal tongue. You gotta get that

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Speaker 4: checked out.

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Speaker 1: How do you thank you?

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Speaker 2: Yeah, that's pretty normal.

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Speaker 4: Pretty big tongue. No normal to normal tone.

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Speaker 2: Classic, let's see classic, classic, Kurt when you when you led,

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Speaker 2: when you led with three point whatever.

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Speaker 4: I I know that this is in retrospect. How could I?

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Speaker 4: But I was really prepared for feet at the end of.

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Speaker 1: That like a cartoon.

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Speaker 3: Yeah, and now I'm honestly, frankly, I'm disappointed that this

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Speaker 3: man's tongue isn't bigger.

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Speaker 4: But hey, you know they.

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Speaker 2: Say when you see a photograph of it, you will say,

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Speaker 2: I wish it was shorter.

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Speaker 1: It is incredibly upsetting.

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Speaker 2: Imagine Jane Simmons tongue and a little bit longer than

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Speaker 2: Jeane Simmons tongue.

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Speaker 1: Good got it here.

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Speaker 2: It is that that honor might be enough for some people,

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Speaker 2: but Stowborough feels a giant tongue is not thing if

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Speaker 2: not used for the betterment of humanity. It's a gift,

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Speaker 2: he told huff Post. I have to use it. So

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Speaker 2: Stoberrel has started using his liquor as a paintbrush making portraits.

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Speaker 2: I appreciate the term liquor for tongue.

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Speaker 3: Ya.

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Speaker 1: That's a made up synonym that.

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Speaker 4: Somebody like wanted to work the word liquor in liquor. Yeah.

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Speaker 2: You know, if you go to the source dot com,

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Speaker 2: liquor ain't in there when you have tongue the search bar. Uh.

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Speaker 2: He started dipping his tongue in acrylic paint and then

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Speaker 2: onto canvas. Stowberrel has done numerous tongue paintings, including one

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Speaker 2: of talk show hosts Steve Harvey, but his proudest of

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Speaker 2: his post recent work, a giant beaver. I mean he

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Speaker 2: knows his audience. He gets what he's doing.

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Speaker 1: I buy it.

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Speaker 3: Do you think do you wish that you were famous

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Speaker 3: enough to be deserving of a of a portrait done

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Speaker 3: by world's largest tongue man.

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Speaker 1: We could commission it. I bet if we reached out,

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Speaker 1: something tells me we could afford to get one commission.

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Speaker 1: I would.

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Speaker 2: I think we should. Okay, I think we should get

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Speaker 2: a piece of art made, a banana boys portrait, and

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Speaker 2: we should make it into a poster, and we should

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Speaker 2: sell it. I think that that's a great piece of merch.

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Speaker 2: Tongue painted portrait, Yeah, it's just that easy.

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Speaker 4: A LICKT portrait, a.

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Speaker 1: LICKT portrait, a Liechtenstein, if a lict banana, that's like

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Speaker 1: it's going the other way.

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Speaker 2: Yeah, this painting definitely appeals to my taste. He said,

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Speaker 2: I'm fascinated by beavers. He's really good.

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Speaker 1: Yeah, he's uh.

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Speaker 2: Stowborough, who also works as a sharp tongue stand up comedian,

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Speaker 2: was inspired to become a tongue painter two years ago

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Speaker 2: after seeing the work of a tongue painter in India.

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Speaker 1: Quote.

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Speaker 2: However, when I heard him talk about the nausea he

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Speaker 2: experienced putting the paint in his mouth, I realized I

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Speaker 2: needed to cover him a tongue with saran wrap first.

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Speaker 2: He said, it took stove. So he's painting with a

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Speaker 2: saran wrap covered tongue.

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Speaker 4: It's in between going to open mics.

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Speaker 2: In between going to It took ste Burl about six

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Speaker 2: hours to complete the beaver painting.

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Speaker 1: Quote.

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Speaker 2: The area surrounding the beaver was easier to lick than

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Speaker 2: the beaver itself. He said, I mean, come on, but that's.

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Speaker 4: Honestly, that's that's not true. There's hair around it true.

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Speaker 1: That is also the.

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Speaker 4: Main part is so much easier.

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Speaker 1: Anyway.

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Speaker 2: Stowbirrel's work with his tongue is more of a novelty

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Speaker 2: than anything else. But the I can't imagine a spot

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Speaker 2: in the record books that it feels good.

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Speaker 3: I said, you said it's more of a novelty than

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Speaker 3: anything else, and I said, I can't imagine it feels good.

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Speaker 4: I can't imagine. You don't know.

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Speaker 3: He's showing off. He's too cocky. He's twenty six and

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Speaker 3: he thinks he's good with his tongue.

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Speaker 4: He is bad with his tongue.

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Speaker 2: Agreed, I do want to see a picture of the

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Speaker 2: beaver painting. I have not seen it. Yeah, yeah, yeah,

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Speaker 2: it's just it's just literally just like a circle with teeth.

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Speaker 1: A little.

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Speaker 2: A website that specializes in wacky record said Stoburl's beaver painting,

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Speaker 2: which measures thirty six inches by twenty four inches, is

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Speaker 2: the largest painting of a beaver painted using tongue stoeborrel

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Speaker 2: plants to focus his tongue and his creativity towards works

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Speaker 2: inspired by Andy Warhol, but is also considering doing a

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Speaker 2: whole series of paintings focused on his favorite animal, the beaver.

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Speaker 1: Now I'm looking at it. I'm looking at it. It

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Speaker 1: is not very good. I'm also seeing it for sale

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Speaker 1: on a Craigslist. I'll put the link in for one dollar.

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Speaker 1: So I do think we can commission this guy.

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Speaker 2: Oh for one dollar?

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Speaker 1: Uh, I mean, oh god, that's the best way to

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Speaker 1: do this. I'm gonna pull it up on my phone

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Speaker 1: and just show the camera because this is so I mean,

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Speaker 1: it's it's it definitely looks like a beaver. I'll say

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Speaker 1: it looks like the the mammal the beaver.

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Speaker 2: I wonder if he sketched it with pencil first and

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Speaker 2: then painted with tongue later, because you could technically do that, right,

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Speaker 2: You're still painting with the brush of the tongue.

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Speaker 3: This is you know how Sometimes you watch a comedian

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Speaker 3: do do you guys?

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Speaker 4: Do you guys swear on this podcast? I've swear it already. Yes.

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Speaker 3: Some stand ups will do what I call a fuck act,

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Speaker 3: where they're just on stage basically like, you know, being

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Speaker 3: as like charming and single as possible, and so somebody

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Speaker 3: after what we'll want to we'll.

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Speaker 4: Want to fuck them. That's it's a fun act.

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Speaker 3: And I feel like this beaver painting is the equivalent

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Speaker 3: of a fuck act from a stand up.

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Speaker 4: Oh my god, it's so bad. I thought it was

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Speaker 4: going to be.

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Speaker 2: I love that you guys both think that's bad. I

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Speaker 2: think it's really really good.

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Speaker 1: I saw the guy in Vancouver paint the Khalisi from

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Speaker 1: Game of Thrones with his penis dipping in paint and

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Speaker 1: it looked exactly like her this. I have high standards

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Speaker 1: for odd body painting that, but yeah, pretty incredible.

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Speaker 2: That's so bad if you were but Scotti if you

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Speaker 2: wrap that dude's dick and surround wrap first, I bet

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Speaker 2: you it wouldn't have looked as much like Klisi.

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Speaker 1: Well, good point.

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Speaker 4: I also bet this so much. Do you think this

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Speaker 4: man has a very small penis?

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00:18:09,520 --> 00:18:10,280
Speaker 1: I hope he has.

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00:18:10,640 --> 00:18:12,280
Speaker 4: Do you think he's do you think he's like, no,

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00:18:12,359 --> 00:18:14,639
Speaker 4: it's fine, three point seven. It just is average.

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Speaker 1: Okay, Yeah, that's right, nobody, Jos, that's rights his tongue.

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Speaker 2: That's the next thing. He just comes out like. Three

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00:18:26,400 --> 00:18:30,200
Speaker 2: point nine two is a cool length for anything. Hi,

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Speaker 2: I'm nick I have a long tongue, but a short.

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Speaker 4: Do you think he's stretching his tongue to compensate.

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Speaker 1: Or just trying to reach it? Yeah, just trying to

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Speaker 1: reach I hope he's got uh. I hope he's packing

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Speaker 1: in every way, because when you have the world's longest anything,

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Speaker 1: I'm sure. I'm sure it's weird to have a tongue

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Speaker 1: that big.

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Speaker 4: Yeah.

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Speaker 1: I wonder if he's got a cool voice, or a

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Speaker 1: tongue thrust or a lisp or anything. I wonder if

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00:18:56,800 --> 00:18:57,840
Speaker 1: anything comes with.

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Speaker 2: That, I would love it. I would love it if

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00:19:00,040 --> 00:19:02,160
Speaker 2: he had that long of a tongue. But then all

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00:19:02,200 --> 00:19:06,240
Speaker 2: of his fingers were half length, like they only came

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00:19:06,320 --> 00:19:12,240
Speaker 2: up to where normal Yeah, normal knuckles came to like

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00:19:12,240 --> 00:19:13,760
Speaker 2: like Simpson's hands.

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Speaker 4: Weird little mits. Yeah, Scotty, you seem to be on

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00:19:18,480 --> 00:19:23,199
Speaker 4: this guy's side. I don't. I have no faith in

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00:19:23,200 --> 00:19:24,400
Speaker 4: this man whatsoever.

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Speaker 3: I don't have It's hard for me to have faith

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00:19:26,320 --> 00:19:28,400
Speaker 3: in any twenty six year old man, but a twenty

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00:19:28,440 --> 00:19:31,280
Speaker 3: six year old man who has unfortunately been endowed with

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Speaker 3: a giant tongue.

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00:19:33,720 --> 00:19:35,840
Speaker 1: Yeah, is this root and form?

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00:19:35,960 --> 00:19:38,679
Speaker 4: Yeah, you're rooting for him. I'm I am ye of

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00:19:38,720 --> 00:19:39,760
Speaker 4: little faith over here.

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Speaker 2: Oh, but you know what he's look I think you

394
00:19:42,600 --> 00:19:45,560
Speaker 2: could look at him as trainable, you know, sure, Yeah

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00:19:45,640 --> 00:19:49,199
Speaker 2: he's Yeah, he's got the raw potential exactly. It's like

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Speaker 2: a football coach watching someone.

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Speaker 4: He's a walk, He's he's a walk.

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00:19:52,960 --> 00:19:54,920
Speaker 2: Yeah, yeah, that's right.

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Speaker 1: But when he french kisses somebody, does he knock them over?

400
00:19:57,680 --> 00:20:00,520
Speaker 1: Is it something that he has to think about? Can

401
00:20:00,560 --> 00:20:02,960
Speaker 1: he spit a pumpkin seat like forty to fifty feet?

402
00:20:03,000 --> 00:20:04,919
Speaker 1: You kind of wonder how good is this guy?

403
00:20:05,080 --> 00:20:07,160
Speaker 2: Can he let you know if your fillings are gonna

404
00:20:07,200 --> 00:20:07,880
Speaker 2: fall out soon?

405
00:20:09,600 --> 00:20:13,320
Speaker 4: I hope he's bye. I hope men get to experience him.

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00:20:13,880 --> 00:20:16,800
Speaker 1: Yeah, I hope everybody gets I hope everybody gets to

407
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Speaker 1: have a great time with this guy.

408
00:20:19,160 --> 00:20:21,919
Speaker 2: Look, I think there's a fifty to fifty chance that

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Speaker 2: Nick is listening to this thing.

410
00:20:24,320 --> 00:20:29,040
Speaker 3: Actually, a guy who's like, I'm going to paint of

411
00:20:29,119 --> 00:20:32,080
Speaker 3: beaver painting will google his has Google alerts on his

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00:20:32,080 --> 00:20:34,639
Speaker 3: own name to listen to the podcast.

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00:20:35,440 --> 00:20:39,000
Speaker 2: Yeah, and Nick, I'm I'm on. We're team Nick. We're

414
00:20:39,040 --> 00:20:40,439
Speaker 2: team Nick. Chloe she's not.

415
00:20:40,760 --> 00:20:44,200
Speaker 3: Yeah, I gotta say I'm not Team Nick. Hey, Nick,

416
00:20:44,280 --> 00:20:46,159
Speaker 3: you want to prove me wrong? Please don't DM me,

417
00:20:46,240 --> 00:20:49,560
Speaker 3: But I hope I would love. I hope at some

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00:20:49,640 --> 00:20:51,040
Speaker 3: point in life you prove me wrong.

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Speaker 1: That's right, that's sort of a positive face. That's not

420
00:20:58,520 --> 00:21:02,600
Speaker 1: within forage. Yes, it's gotta get us one. I got

421
00:21:02,640 --> 00:21:05,920
Speaker 1: one for you this. Paul Bosco sent this in thank you, Paul.

422
00:21:07,119 --> 00:21:11,320
Speaker 1: This was on Kurt's favorite website, BoingBoing dot net, written

423
00:21:11,359 --> 00:21:16,120
Speaker 1: by David Best and the Biz Pescovitz. He is good.

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00:21:16,760 --> 00:21:18,800
Speaker 2: What a thing thing I like about Boying Boying is

425
00:21:18,840 --> 00:21:21,720
Speaker 2: it's got five letters each for five fingers of each hand.

426
00:21:21,720 --> 00:21:24,320
Speaker 2: That's why I got a Boing Boying on each on

427
00:21:24,480 --> 00:21:25,080
Speaker 2: each mist.

428
00:21:25,760 --> 00:21:27,560
Speaker 1: I hope if you ever get in a fistfight, you

429
00:21:27,600 --> 00:21:30,160
Speaker 1: say boying, boying as you throw each punch.

430
00:21:30,680 --> 00:21:34,200
Speaker 2: B oh I NGI yep if it's boying and boying,

431
00:21:34,280 --> 00:21:36,159
Speaker 2: But you'd have to have one on the thumb so

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00:21:36,200 --> 00:21:38,720
Speaker 2: it would look like boying, and then you'd flip it

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00:21:38,760 --> 00:21:40,680
Speaker 2: over to the g boy.

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00:21:40,400 --> 00:21:44,560
Speaker 1: And well, we'll see, we'll see. I used to have

435
00:21:44,600 --> 00:21:49,360
Speaker 1: a like early Tumbler, maybe really early Instagram. I had

436
00:21:49,440 --> 00:21:55,360
Speaker 1: a burger reviewing website called peepmeat dot com. Kurt, you remember, pet, Yes,

437
00:21:55,400 --> 00:21:58,240
Speaker 1: I do. For a brief time, it was the biggest

438
00:21:58,240 --> 00:22:01,960
Speaker 1: burger site online where strangers would submit burgers and reviews

439
00:22:02,000 --> 00:22:04,080
Speaker 1: and where they were and it was really fun. And

440
00:22:04,119 --> 00:22:08,480
Speaker 1: there was a guy who got interviewed by Vice magazine

441
00:22:08,920 --> 00:22:10,919
Speaker 1: because he put up an ad and he had the

442
00:22:10,920 --> 00:22:14,479
Speaker 1: craziest name. I'll have to google it. But he would

443
00:22:15,560 --> 00:22:20,119
Speaker 1: put your company's tattoo, tattoo, your company's logo on his body,

444
00:22:20,160 --> 00:22:22,720
Speaker 1: and we sent him twenty dollars or two hundred dollars

445
00:22:22,720 --> 00:22:26,920
Speaker 1: and he put peepmeat dot com on his body interview.

446
00:22:27,640 --> 00:22:30,639
Speaker 1: I think he ended up putting it on his armor's neck.

447
00:22:31,280 --> 00:22:34,000
Speaker 1: But during the interview with Vice. The guy's like any

448
00:22:34,040 --> 00:22:36,120
Speaker 1: weird ones. He goes, yeah, I got one from peepemeat

449
00:22:36,119 --> 00:22:38,200
Speaker 1: dot com. I hope it's not porn. And the Vice

450
00:22:38,400 --> 00:22:40,600
Speaker 1: interviewers like, it looks like it's a Burger site. It

451
00:22:40,600 --> 00:22:43,679
Speaker 1: actually looks legit, and he's like, oh, for real, that's great.

452
00:22:44,000 --> 00:22:48,160
Speaker 2: That's amazing that he never checked that, he never like looked,

453
00:22:48,160 --> 00:22:50,639
Speaker 2: just looked it up before putting on his body for forever.

454
00:22:51,280 --> 00:22:53,919
Speaker 1: Yeah, he just I saw it online that he was

455
00:22:53,960 --> 00:22:56,679
Speaker 1: like selling his body as like ad space, and at

456
00:22:56,720 --> 00:22:58,520
Speaker 1: the time I was like, well, let's get peep meat

457
00:22:58,560 --> 00:23:00,760
Speaker 1: out there. And it kind of worked for a hot second.

458
00:23:01,000 --> 00:23:03,600
Speaker 4: Also, don't you think the tattoo costs two hundred dollars?

459
00:23:05,119 --> 00:23:09,520
Speaker 1: Yeah? I would guess I would get that. Yeah, I

460
00:23:09,880 --> 00:23:12,960
Speaker 1: find it after I do this story. But also, good segue.

461
00:23:13,320 --> 00:23:16,359
Speaker 1: Fast food workers tampered with train tracks so they'd have

462
00:23:16,359 --> 00:23:22,960
Speaker 1: a slow night at work. Yeah give it from Minnesota,

463
00:23:22,960 --> 00:23:27,080
Speaker 1: part of this country, Minnesota from Pennsylvania. Yeah, okay. So

464
00:23:27,240 --> 00:23:31,840
Speaker 1: Tilden Township, Pennsylvania police have charged Ryan Berea and Amy

465
00:23:31,960 --> 00:23:36,240
Speaker 1: Shaner or Shanner, who both work at the same Wendy's restaurant,

466
00:23:36,680 --> 00:23:40,240
Speaker 1: for allegedly tampering with railroad tracks. According to the cops,

467
00:23:40,520 --> 00:23:42,800
Speaker 1: they were pulled up. They pulled up to a railroad

468
00:23:42,800 --> 00:23:45,960
Speaker 1: crossing and placed a shunt on the track. But why

469
00:23:45,960 --> 00:23:48,840
Speaker 1: would they ever do such a thing. During an interview,

470
00:23:48,880 --> 00:23:50,840
Speaker 1: they told us that their intentions were that if the

471
00:23:50,880 --> 00:23:54,119
Speaker 1: gates would malfunction, they could somehow block the traffic and

472
00:23:54,160 --> 00:23:56,840
Speaker 1: that would prevent people from showing up to Wendy's and

473
00:23:56,880 --> 00:23:59,680
Speaker 1: then they would have a slow night at work, which

474
00:23:59,720 --> 00:24:04,879
Speaker 1: is so dangerous it's unbelievable. This is from w FMZ.

475
00:24:05,160 --> 00:24:07,960
Speaker 1: Police said Bria made a makeshift device and placed it

476
00:24:08,000 --> 00:24:10,440
Speaker 1: on the tracks that would mess with the signal sensors,

477
00:24:10,800 --> 00:24:15,680
Speaker 1: which meant that the gates. The gates wouldn't have gone

478
00:24:15,720 --> 00:24:18,359
Speaker 1: down when a train was approachecked. Nobody gets hurt. I'm

479
00:24:18,359 --> 00:24:20,560
Speaker 1: going to jump to the I'm gonna let everybody know

480
00:24:20,640 --> 00:24:22,760
Speaker 1: no cars got hit by this. But this could have

481
00:24:22,800 --> 00:24:23,920
Speaker 1: been truly categorizic.

482
00:24:24,000 --> 00:24:25,960
Speaker 2: Also, so you think.

483
00:24:25,760 --> 00:24:28,720
Speaker 3: That they would say, let's close the gates artificially so

484
00:24:28,840 --> 00:24:33,359
Speaker 3: that the cars would back up the train conductor is

485
00:24:33,400 --> 00:24:35,640
Speaker 3: not okay, all right, I'm with you.

486
00:24:35,400 --> 00:24:37,520
Speaker 1: You are too smart for this world, because that is

487
00:24:37,560 --> 00:24:38,960
Speaker 1: exactly what they should have done.

488
00:24:39,000 --> 00:24:41,120
Speaker 2: Sure, I think that's what they were trying to do,

489
00:24:41,160 --> 00:24:43,600
Speaker 2: but they fucked up and it just kept the gates.

490
00:24:43,359 --> 00:24:45,520
Speaker 1: Open, right, that's right, Yeah, exactly.

491
00:24:45,640 --> 00:24:49,600
Speaker 3: It's surprising that to Wendy's employees with a hair brained

492
00:24:49,680 --> 00:24:54,119
Speaker 3: scheme to slow down their business would accidentally make the

493
00:24:54,160 --> 00:24:56,719
Speaker 3: gates to the opposite of what they were doing to do.

494
00:24:58,280 --> 00:25:02,359
Speaker 1: That's exactly, they did the opposite thing and could have in.

495
00:25:03,000 --> 00:25:06,360
Speaker 1: One of the cops that interviewed said a crash could

496
00:25:06,400 --> 00:25:08,080
Speaker 1: have absolutely occurred.

497
00:25:09,240 --> 00:25:12,120
Speaker 2: I have a question. Look, I feel like I don't

498
00:25:12,119 --> 00:25:13,480
Speaker 2: I kind of don't want to admit it.

499
00:25:14,280 --> 00:25:19,760
Speaker 1: But what's a shunt. That's a great question because I

500
00:25:19,800 --> 00:25:22,680
Speaker 1: had no idea what it was too. But I think

501
00:25:22,840 --> 00:25:24,879
Speaker 1: it sounds like something if somebody walked up to you

502
00:25:24,920 --> 00:25:27,520
Speaker 1: and called you that, you would be like, I'm definitely offended,

503
00:25:27,560 --> 00:25:28,600
Speaker 1: and I can't.

504
00:25:28,720 --> 00:25:31,399
Speaker 2: For some reason, I feel like it's a it's the

505
00:25:31,480 --> 00:25:33,520
Speaker 2: thing that like a door, like a thing that holds

506
00:25:33,520 --> 00:25:34,200
Speaker 2: a door open.

507
00:25:34,880 --> 00:25:37,000
Speaker 1: Yeah, like that.

508
00:25:36,400 --> 00:25:39,920
Speaker 2: That shape, that triangle shape I feel like is a shunt,

509
00:25:40,119 --> 00:25:43,000
Speaker 2: But I don't know, like a wedge. It's like a

510
00:25:43,080 --> 00:25:44,800
Speaker 2: w a shunt.

511
00:25:44,880 --> 00:25:49,320
Speaker 1: Yeah, it says it's a wire taped rail to rail,

512
00:25:49,440 --> 00:25:53,240
Speaker 1: threaded through a cotter pin, which he recognized as a shunt.

513
00:25:53,440 --> 00:25:57,040
Speaker 4: Oh see a cotter pin now a classic that Yeah,

514
00:25:57,160 --> 00:25:58,679
Speaker 4: you just had to say cotter pin And now I

515
00:25:58,760 --> 00:25:59,760
Speaker 4: understand now.

516
00:26:00,560 --> 00:26:05,920
Speaker 1: You're absolutely in that's right as a cotter pin looks

517
00:26:06,000 --> 00:26:10,560
Speaker 1: like it looks like a Barrett. Let's see. I have

518
00:26:10,720 --> 00:26:13,000
Speaker 1: no idea, but this just also shows that we are

519
00:26:13,000 --> 00:26:15,080
Speaker 1: innocent of this crime. We have the three of us

520
00:26:15,080 --> 00:26:17,480
Speaker 1: where no way we don't know what shunts or cotter pins.

521
00:26:17,920 --> 00:26:21,000
Speaker 1: We do know what Wendy's is. That's huge for us.

522
00:26:21,080 --> 00:26:22,960
Speaker 4: This is a fun This is a fun like super

523
00:26:23,080 --> 00:26:24,520
Speaker 4: villain plan gone.

524
00:26:24,280 --> 00:26:26,160
Speaker 1: Awry, you know right.

525
00:26:26,400 --> 00:26:30,640
Speaker 2: I mean, honestly, I wouldn't have even I didn't even

526
00:26:30,720 --> 00:26:34,520
Speaker 2: think that the things went down automatically.

527
00:26:34,760 --> 00:26:36,720
Speaker 1: I thought someone controlled them.

528
00:26:37,119 --> 00:26:40,120
Speaker 2: To find out that it's just like an automatic thing

529
00:26:40,480 --> 00:26:43,000
Speaker 2: and wait or something is on the tracks, they go down,

530
00:26:43,400 --> 00:26:47,080
Speaker 2: it makes sense that that's how it works. But yeah, yeah,

531
00:26:47,119 --> 00:26:49,240
Speaker 2: I thought it was an important enough function of them

532
00:26:49,240 --> 00:26:51,359
Speaker 2: that like someone be like, we have to push that down.

533
00:26:51,640 --> 00:26:53,680
Speaker 4: You thought that your dumb shunt.

534
00:26:54,440 --> 00:26:59,600
Speaker 3: Yeah shunt people say that in the UK affectionately.

535
00:27:00,200 --> 00:27:04,840
Speaker 2: It's it's about you cannot say fanny pack. You can

536
00:27:04,920 --> 00:27:05,800
Speaker 2: say dumb shunt.

537
00:27:06,560 --> 00:27:08,720
Speaker 1: You can say we went out last night and got shunted.

538
00:27:10,600 --> 00:27:13,960
Speaker 1: So the result was the gate was short circuited. Would

539
00:27:14,000 --> 00:27:16,240
Speaker 1: not have been activated if a train went over the wire.

540
00:27:16,280 --> 00:27:18,320
Speaker 1: In this case, a train at normal speed would have

541
00:27:18,320 --> 00:27:21,359
Speaker 1: already been at the gate before the lighting arms were activated,

542
00:27:21,840 --> 00:27:26,040
Speaker 1: so nothing happened again. But Brea or Borea was charged

543
00:27:26,080 --> 00:27:28,800
Speaker 1: with multiple crimes, including one that I've never heard before,

544
00:27:29,760 --> 00:27:34,000
Speaker 1: shunting in public. Got it? No, he got it. He

545
00:27:35,160 --> 00:27:41,320
Speaker 1: was arrested for criminal mischief and risking a catastrophe. Risking

546
00:27:41,720 --> 00:27:44,680
Speaker 1: a catastrophe very accurate, though.

547
00:27:44,600 --> 00:27:48,960
Speaker 3: Both incredible crimes. Criminal mischief is that a term that

548
00:27:49,000 --> 00:27:50,919
Speaker 3: comes up a lot in the in the news articles

549
00:27:50,920 --> 00:27:52,080
Speaker 3: that you two cover.

550
00:27:53,320 --> 00:27:56,280
Speaker 1: Yes, mischief, mischief.

551
00:27:56,160 --> 00:27:59,800
Speaker 4: Criminal mischief is a beautiful crime to be charged with.

552
00:28:00,960 --> 00:28:02,880
Speaker 1: You know, it's too beautiful word.

553
00:28:02,720 --> 00:28:07,919
Speaker 3: You're too you're too like cuting and sneaky. You know

554
00:28:08,600 --> 00:28:13,920
Speaker 3: it's a crime, how cute sneaky you are? But risky catastrophe.

555
00:28:14,320 --> 00:28:17,800
Speaker 1: A lot worse, a lot worse. Scrimmemto mischief is like

556
00:28:17,840 --> 00:28:20,040
Speaker 1: I move all the cards around at the at the

557
00:28:20,080 --> 00:28:22,920
Speaker 1: greeting card store. So sometimes it says happy retirement for

558
00:28:23,000 --> 00:28:25,520
Speaker 1: somebody's birthday. They're like, all right, that's a little fine.

559
00:28:25,840 --> 00:28:28,040
Speaker 1: The other guy's like, yeah, I pull the cotter pin

560
00:28:28,119 --> 00:28:30,679
Speaker 1: and the damn exploded and washed out in entire village.

561
00:28:30,760 --> 00:28:33,600
Speaker 2: Oh now we're using cottterpin willy nilly, aren't we. Well

562
00:28:33,640 --> 00:28:36,760
Speaker 2: we all know what a Yeah, I'm the only one

563
00:28:36,800 --> 00:28:38,080
Speaker 2: who knows what a cotter pin is.

564
00:28:38,120 --> 00:28:41,080
Speaker 1: I looked it up. You guys can't don't know. Also,

565
00:28:41,160 --> 00:28:44,720
Speaker 1: the guy that got his body tattooed with peteme dot

566
00:28:44,760 --> 00:28:47,960
Speaker 1: com was named HostGator dot com. He had changed his

567
00:28:48,040 --> 00:28:51,440
Speaker 1: name to HostGator dot com. It is Vice from twenty thirteen.

568
00:28:51,560 --> 00:28:51,840
Speaker 1: So there.

569
00:28:52,040 --> 00:28:57,600
Speaker 2: HostGator dot com was his name full name. Did he

570
00:28:57,640 --> 00:28:58,680
Speaker 2: still have a last name?

571
00:28:59,120 --> 00:29:02,120
Speaker 1: Uh? He it just dot com. Do O t co

572
00:29:02,440 --> 00:29:04,680
Speaker 1: M was his last name. Hostkater was his first name.

573
00:29:04,840 --> 00:29:09,920
Speaker 2: Com Oh wow, okay, Oh I would love a follow

574
00:29:09,960 --> 00:29:11,640
Speaker 2: up with hostgater dot com.

575
00:29:11,760 --> 00:29:13,480
Speaker 1: Yeah, I will reach out to him.

576
00:29:13,520 --> 00:29:15,280
Speaker 3: All right, do you think host Skater Do you think

577
00:29:15,280 --> 00:29:18,760
Speaker 3: hostkater dot com has ever been charged with criminal mischief?

578
00:29:20,600 --> 00:29:22,200
Speaker 1: Probably?

579
00:29:22,840 --> 00:29:26,600
Speaker 3: I mean he is risking catastrophe generally.

580
00:29:27,960 --> 00:29:29,840
Speaker 2: Also, I think we should get him a length of

581
00:29:29,840 --> 00:29:32,360
Speaker 2: his tongue just to round it out, so let's get

582
00:29:32,400 --> 00:29:32,760
Speaker 2: in touch.

583
00:29:32,920 --> 00:29:37,200
Speaker 3: Also, hostgater dot com should get boing boing tattooed over

584
00:29:37,240 --> 00:29:39,440
Speaker 3: his little stumpy half fingers.

585
00:29:42,720 --> 00:29:45,920
Speaker 1: There was this dude in my hometown. I talked about

586
00:29:46,000 --> 00:29:48,480
Speaker 1: him a long time ago, Kurt and I think I

587
00:29:48,520 --> 00:29:50,640
Speaker 1: had talked about him. One time we found just a

588
00:29:50,640 --> 00:29:52,840
Speaker 1: wheelchair and painted flames on it and then wrote it

589
00:29:52,880 --> 00:29:54,720
Speaker 1: down this steep hill in town all day because we

590
00:29:54,720 --> 00:29:57,480
Speaker 1: thought that was fun. Of course, but there was a

591
00:29:57,560 --> 00:29:59,720
Speaker 1: kid that everybody said was a Satanist. So this was

592
00:29:59,760 --> 00:30:02,200
Speaker 1: like like fifth grade, sixth grade, sort of like the

593
00:30:02,240 --> 00:30:04,760
Speaker 1: elementary school turns into middle school years. His name was Seth.

594
00:30:05,640 --> 00:30:09,040
Speaker 1: He lived up in Westminster, Maryland, which is fine, but

595
00:30:09,160 --> 00:30:11,560
Speaker 1: like one time I looked outside during a thunderstorm and

596
00:30:11,600 --> 00:30:13,960
Speaker 1: he was yelling at the sky trying to get struck

597
00:30:13,960 --> 00:30:17,160
Speaker 1: by lightning. Like this kid, all that guy is great,

598
00:30:17,840 --> 00:30:19,840
Speaker 1: and so he would chant stuff you just tried to

599
00:30:19,840 --> 00:30:22,680
Speaker 1: convince all of us he was a Satanist. So yeah,

600
00:30:22,840 --> 00:30:25,440
Speaker 1: one day I'm at a public pool with friends. It's

601
00:30:25,480 --> 00:30:27,520
Speaker 1: middle of summer, and my buddy comes over and he's like,

602
00:30:27,560 --> 00:30:30,120
Speaker 1: Seth is trying to crash a train, and we're like,

603
00:30:30,160 --> 00:30:32,120
Speaker 1: satan Seth, and so you're like, okay, So we all

604
00:30:32,200 --> 00:30:34,360
Speaker 1: run down the street. We're in Glenden. We're in this

605
00:30:34,400 --> 00:30:37,240
Speaker 1: little quaint town called Glendon, and we run down to

606
00:30:37,280 --> 00:30:40,320
Speaker 1: the train tracks and sure enough there is Seth and

607
00:30:40,400 --> 00:30:43,440
Speaker 1: he has placed a bicycle. I guess he stole a

608
00:30:43,440 --> 00:30:45,720
Speaker 1: bike and rode it to the train tracks and he's

609
00:30:45,800 --> 00:30:48,560
Speaker 1: dumping a gasoline on it out of a gas cam,

610
00:30:48,640 --> 00:30:51,680
Speaker 1: a red gas cam. And we're all standing there like kids,

611
00:30:51,760 --> 00:30:55,040
Speaker 1: like what is about to happen? This is so scary? Yeah?

612
00:30:55,200 --> 00:30:58,240
Speaker 1: Then and exciting, Oh yeah.

613
00:30:58,200 --> 00:31:02,440
Speaker 2: Thrilling because you guys think that the train's gonna hit

614
00:31:02,480 --> 00:31:05,680
Speaker 2: it and it's gonna blow up and jump off the track.

615
00:31:05,440 --> 00:31:09,000
Speaker 1: Right yeah, because a full size and not a commercial track,

616
00:31:09,040 --> 00:31:12,080
Speaker 1: I mean a commercial train, not about hundred a hundred

617
00:31:12,280 --> 00:31:19,360
Speaker 1: ton engine can't take a flaming huffey, flaming trek mountain bike,

618
00:31:19,400 --> 00:31:23,000
Speaker 1: a truck anal hit on fire hours before the train

619
00:31:23,080 --> 00:31:26,200
Speaker 1: gets there, so the tires explode, the tubes pop, all

620
00:31:26,200 --> 00:31:28,040
Speaker 1: that stuff, and we're like, oh man, and he's like

621
00:31:28,440 --> 00:31:31,320
Speaker 1: he's like pumped up, and as it's like burning, this

622
00:31:31,360 --> 00:31:34,120
Speaker 1: pickup trunk comes like ripping in, pulls up to him

623
00:31:34,200 --> 00:31:37,240
Speaker 1: and Seth starts running, so we start running. We run

624
00:31:37,280 --> 00:31:39,640
Speaker 1: back to the pool, thinking it was like an undercover cop, which,

625
00:31:39,680 --> 00:31:41,400
Speaker 1: like I think, when you're a young person, you just

626
00:31:41,440 --> 00:31:44,800
Speaker 1: assume everybody, Yeah, you're gonna get arrested just for looking

627
00:31:44,840 --> 00:31:45,400
Speaker 1: at something.

628
00:31:45,480 --> 00:31:50,160
Speaker 2: All adults are essentially undercover cops at that age anyway, right, Yeah,

629
00:31:50,200 --> 00:31:51,800
Speaker 2: they're all narts exactly right.

630
00:31:51,920 --> 00:31:55,120
Speaker 1: Yeah, they're all gonna get you in trouble. So or

631
00:31:55,160 --> 00:31:57,200
Speaker 1: we thought it was like a fire chief or something,

632
00:31:57,280 --> 00:31:59,200
Speaker 1: I was gonna be like I saw a fire, I

633
00:31:59,240 --> 00:32:02,760
Speaker 1: spelled smoke. So instead we all go back to the

634
00:32:02,800 --> 00:32:04,800
Speaker 1: pool and we pretend like nothing happen and we're going

635
00:32:04,800 --> 00:32:06,720
Speaker 1: with other day. And then we find out that the

636
00:32:06,760 --> 00:32:09,440
Speaker 1: guy was chasing him was his dad, and that his

637
00:32:09,640 --> 00:32:11,640
Speaker 1: dad This is the part that has haunted me for

638
00:32:11,720 --> 00:32:15,160
Speaker 1: these years. His dad watched Satanist Seth go out to

639
00:32:15,200 --> 00:32:18,720
Speaker 1: the shed and get at a red gas tank like

640
00:32:18,720 --> 00:32:20,880
Speaker 1: that you'd pour into your tractor or whatever, running lawnmore

641
00:32:21,280 --> 00:32:23,720
Speaker 1: and instead of being like, hey, what are you doing,

642
00:32:24,080 --> 00:32:27,440
Speaker 1: his dad followed him while his son stole a bicycle

643
00:32:27,440 --> 00:32:31,040
Speaker 1: out of somebody's yard, rode it to a train track,

644
00:32:31,480 --> 00:32:34,120
Speaker 1: let him light it on fire, and then pulled up

645
00:32:34,160 --> 00:32:36,360
Speaker 1: and gave chase. So I think the dad was just like,

646
00:32:36,720 --> 00:32:39,720
Speaker 1: what is this knucklehead going to get into next? And

647
00:32:39,800 --> 00:32:41,800
Speaker 1: he got in trouble. The fire department did come. We

648
00:32:41,880 --> 00:32:43,520
Speaker 1: heard the sirens. We all thought we were going to

649
00:32:43,560 --> 00:32:46,360
Speaker 1: get arrested. Turns out as fire engines and they put

650
00:32:46,400 --> 00:32:48,280
Speaker 1: it out and got it off. The trains kept rolling.

651
00:32:48,360 --> 00:32:52,640
Speaker 1: But yeah, O God was just like, I'm tracking myself.

652
00:32:52,640 --> 00:32:57,440
Speaker 3: Arguably the opposite of an undercover cop, arguably like like

653
00:32:57,480 --> 00:32:59,120
Speaker 3: an undercover permitter.

654
00:32:59,320 --> 00:33:01,240
Speaker 4: You know, He's like, yeah.

655
00:33:03,120 --> 00:33:05,560
Speaker 2: First, at first, when you said that, I was like, oh,

656
00:33:05,600 --> 00:33:08,680
Speaker 2: that's crazy that he like followed him and didn't just

657
00:33:08,680 --> 00:33:10,320
Speaker 2: stop him at any point along the way.

658
00:33:10,840 --> 00:33:11,560
Speaker 1: But you're a dad.

659
00:33:11,800 --> 00:33:13,360
Speaker 2: But now let I'm a dad.

660
00:33:13,520 --> 00:33:15,560
Speaker 1: It's you.

661
00:33:16,000 --> 00:33:19,240
Speaker 2: I am very conflicted now because you in some way

662
00:33:19,400 --> 00:33:21,520
Speaker 2: because if you just stop them from getting the gas

663
00:33:21,560 --> 00:33:24,240
Speaker 2: tank and then put the gas tank like it's the

664
00:33:24,320 --> 00:33:27,480
Speaker 2: kid is gonna like I'm doing something fucking crazy today,

665
00:33:28,040 --> 00:33:30,480
Speaker 2: and if you like follow it through and then make

666
00:33:30,520 --> 00:33:33,800
Speaker 2: sure no one gets hurt, and then it's like, now

667
00:33:33,840 --> 00:33:36,360
Speaker 2: this is big trouble. Like you're obviously in big trouble

668
00:33:36,440 --> 00:33:38,920
Speaker 2: now because we actually did a thing as opposed to

669
00:33:38,960 --> 00:33:40,680
Speaker 2: where are you going with that? No, no, no, stop that,

670
00:33:40,720 --> 00:33:43,320
Speaker 2: because then they're just gonna go find another thing and

671
00:33:43,440 --> 00:33:47,080
Speaker 2: outwit you in somewhere. This you nowhere, and you can

672
00:33:47,120 --> 00:33:49,400
Speaker 2: stop it and you can make sure no one gets hurt.

673
00:33:49,600 --> 00:33:52,360
Speaker 2: Especially it sounds like Seth had a long history of this.

674
00:33:53,560 --> 00:33:56,280
Speaker 1: I mean, I wish, I wish I had recorded him,

675
00:33:56,320 --> 00:33:58,280
Speaker 1: but we didn't really have that kind of stuff yelling

676
00:33:58,320 --> 00:34:00,800
Speaker 1: at the sky during a thunderstorm, trying to get struck

677
00:34:00,840 --> 00:34:03,440
Speaker 1: by lightning, like pointing at the sky because I mean

678
00:34:03,960 --> 00:34:05,959
Speaker 1: it was incredible and then nothing happens.

679
00:34:06,000 --> 00:34:07,000
Speaker 2: That's that stuff going on.

680
00:34:07,280 --> 00:34:10,120
Speaker 4: Yeah, wow, How do you punish a kid like that?

681
00:34:11,000 --> 00:34:12,520
Speaker 1: Great question? I I don't.

682
00:34:12,560 --> 00:34:15,520
Speaker 2: I'm terrified about that. I'm absolutely terrified because I also

683
00:34:15,600 --> 00:34:19,480
Speaker 2: know right now my daughter is five, and when it's

684
00:34:19,560 --> 00:34:23,680
Speaker 2: like uh and there's no punished already at five, there

685
00:34:23,760 --> 00:34:26,239
Speaker 2: is no punishment. There is a punishment.

686
00:34:26,560 --> 00:34:27,360
Speaker 1: Tickle torture.

687
00:34:27,600 --> 00:34:30,439
Speaker 2: Tickle torture. I like to go into your room. She goes,

688
00:34:30,520 --> 00:34:33,279
Speaker 2: she goes okay, and then just goes into a room

689
00:34:33,520 --> 00:34:36,680
Speaker 2: and then just like looks at me, just like I'm

690
00:34:36,719 --> 00:34:39,839
Speaker 2: having a fucking great time, and she like takes out

691
00:34:39,840 --> 00:34:41,600
Speaker 2: like stuff. He's putting them all around and like I'm

692
00:34:41,680 --> 00:34:43,440
Speaker 2: with all my buddies and I'm like, all right, so

693
00:34:43,520 --> 00:34:45,680
Speaker 2: going to your room? Does it work? Like what like

694
00:34:45,960 --> 00:34:51,480
Speaker 2: you can't read tonight? You know, yeah, removing education abilities?

695
00:34:51,560 --> 00:34:53,920
Speaker 2: You know, it's like that doesn't feel right for a punishment.

696
00:34:54,120 --> 00:34:56,080
Speaker 2: Punishments just don't work, is the answer.

697
00:34:56,160 --> 00:34:59,960
Speaker 3: Punishments don't work, and especially when your child is an arson.

698
00:35:01,200 --> 00:35:08,640
Speaker 1: Yeah, Satan small town where yeah, yeah, wow, yeah your matches.

699
00:35:09,040 --> 00:35:11,640
Speaker 4: Yeah, you don't know. You don't know what's that up

700
00:35:11,680 --> 00:35:12,240
Speaker 4: to you anymore?

701
00:35:13,200 --> 00:35:17,399
Speaker 1: Sadly, that was probably thirty years ago. So I'm sure

702
00:35:17,400 --> 00:35:20,360
Speaker 1: he's doing great. He's probably a leader of industry. You

703
00:35:20,400 --> 00:35:23,640
Speaker 1: can decide what industry, but I'm sure he's doing really

704
00:35:23,640 --> 00:35:24,560
Speaker 1: well for himself.

705
00:35:24,920 --> 00:35:26,040
Speaker 4: You might be a drink conductor.

706
00:35:26,360 --> 00:35:27,080
Speaker 1: That'd be amazing.

707
00:35:27,680 --> 00:35:33,120
Speaker 2: Yeah, I'll tease us into a break here. Scientists try

708
00:35:33,160 --> 00:35:36,160
Speaker 2: to teach robot to laugh at the right time.

709
00:35:37,800 --> 00:35:44,040
Speaker 1: Great, that's exactly what. It's funnier when they don't, it

710
00:35:44,120 --> 00:36:00,960
Speaker 1: really is. We'll be back with more laughs on bananas.

711
00:36:00,200 --> 00:36:10,560
Speaker 2: Baa, folks, we are back on bananas. It's got to

712
00:36:10,600 --> 00:36:12,919
Speaker 2: give us one fast shout out and then we're gonna

713
00:36:12,920 --> 00:36:14,640
Speaker 2: get back to this sweet sweet guest.

714
00:36:15,040 --> 00:36:18,360
Speaker 1: Yes, so, Ashley Yule is shouting herself out. She's an

715
00:36:18,400 --> 00:36:21,880
Speaker 1: apprentice tattoo artist and the first tattoo she did in

716
00:36:22,040 --> 00:36:25,360
Speaker 1: the tattoo shop was of a banana. She sent a picture.

717
00:36:25,560 --> 00:36:27,600
Speaker 1: It looked like a banana. It looked more like a

718
00:36:27,600 --> 00:36:31,880
Speaker 1: banana than on Nick's tongue beaver art. So congratulations to Ashley.

719
00:36:31,880 --> 00:36:34,279
Speaker 1: You're well on your way. Keep us posted every time

720
00:36:34,280 --> 00:36:36,080
Speaker 1: you do a banana, send it our way.

721
00:36:36,280 --> 00:36:39,239
Speaker 2: Send those bananas now. Of course, we are here with

722
00:36:39,320 --> 00:36:43,480
Speaker 2: the very funny and fantastic Klonoe rad Clinton.

723
00:36:43,520 --> 00:36:48,920
Speaker 4: Both of them, Hello, Hello, I want them?

724
00:36:49,120 --> 00:36:52,680
Speaker 3: What is it HostGator dot com to get a tattoo

725
00:36:52,880 --> 00:36:54,440
Speaker 3: of Nick's beaver painting?

726
00:36:55,600 --> 00:36:58,600
Speaker 1: Great, we all try to track them down and if

727
00:36:58,600 --> 00:37:02,480
Speaker 1: it's affordable, well, I'll say put that beaver right underneath

728
00:37:02,520 --> 00:37:04,839
Speaker 1: petemeat dot com. You're really going to confuse.

729
00:37:06,239 --> 00:37:07,319
Speaker 2: Man, and we do you?

730
00:37:07,440 --> 00:37:09,320
Speaker 1: Do you have any tattoos that you regret? Chloe?

731
00:37:09,440 --> 00:37:13,320
Speaker 4: No, just a birthmark? Uh no, I uh the viewers

732
00:37:13,400 --> 00:37:13,840
Speaker 4: can't don't know.

733
00:37:13,880 --> 00:37:15,279
Speaker 3: They can't see my face. I'm a big thing on

734
00:37:15,280 --> 00:37:17,759
Speaker 3: my face anyway. No, I don't have any tattoos at all.

735
00:37:19,000 --> 00:37:21,960
Speaker 4: Thank you, Thank you. No, no, no tattoos or piercings.

736
00:37:22,080 --> 00:37:25,239
Speaker 3: But I once I did hold a boyfriend's hand while

737
00:37:25,280 --> 00:37:27,640
Speaker 3: he got the only tattoo. We had been dating for

738
00:37:27,640 --> 00:37:30,279
Speaker 3: a week, and he got the only tattoo he has

739
00:37:30,480 --> 00:37:31,880
Speaker 3: and it is of his own.

740
00:37:31,760 --> 00:37:35,239
Speaker 4: Name, and he will first.

741
00:37:36,520 --> 00:37:39,440
Speaker 3: What and he and he got it on his arm,

742
00:37:39,560 --> 00:37:41,560
Speaker 3: like on the easiest part, on his shoulder, and he

743
00:37:41,600 --> 00:37:43,240
Speaker 3: said it was the worst pain he's ever experienced.

744
00:37:43,239 --> 00:37:44,680
Speaker 4: And he'll never get another tattoo.

745
00:37:45,080 --> 00:37:46,320
Speaker 2: He's a comic.

746
00:37:46,440 --> 00:37:49,600
Speaker 1: He's a comic, does he? Oh, so you guys don't

747
00:37:49,600 --> 00:37:51,120
Speaker 1: want to say, because I want to know if it's

748
00:37:51,120 --> 00:37:52,040
Speaker 1: a cool name or not.

749
00:37:52,800 --> 00:37:55,560
Speaker 4: I absolutely will say he's very funny. And we're we're

750
00:37:55,400 --> 00:37:58,160
Speaker 4: we're not dating anywhere, but we're on five terms. His

751
00:37:58,239 --> 00:38:00,920
Speaker 4: name is Jeff Sheen and so we got Jeff.

752
00:38:01,040 --> 00:38:04,440
Speaker 3: He got Jeff, and he is the third Jeff that

753
00:38:04,560 --> 00:38:08,839
Speaker 3: I have ever said, I love you too. And so

754
00:38:08,960 --> 00:38:12,000
Speaker 3: at that point, I already had so many Jeffs in

755
00:38:12,040 --> 00:38:14,719
Speaker 3: my life that I was like, I don't you know,

756
00:38:14,880 --> 00:38:17,000
Speaker 3: usually we had been we hadn't been dating for very long,

757
00:38:17,080 --> 00:38:19,040
Speaker 3: so it was possible that I, you know, if I

758
00:38:19,080 --> 00:38:21,239
Speaker 3: hadn't dated to jeffs before I might have forgotten his

759
00:38:21,320 --> 00:38:23,759
Speaker 3: name and needed the tattoo, but at that point I

760
00:38:23,760 --> 00:38:24,719
Speaker 3: had the name memorized.

761
00:38:25,680 --> 00:38:28,440
Speaker 1: And was it j E f F or was it

762
00:38:28,480 --> 00:38:30,440
Speaker 1: the controversial g E the.

763
00:38:30,440 --> 00:38:33,120
Speaker 4: G No, No, No, he's a hometown boy. He's a

764
00:38:33,200 --> 00:38:33,400
Speaker 4: j E.

765
00:38:33,600 --> 00:38:37,920
Speaker 1: F F. He's a Purists, He's a Jeff Purist.

766
00:38:38,800 --> 00:38:42,840
Speaker 2: I aw, I'm my wife is named Lauren, my brother's

767
00:38:42,840 --> 00:38:46,320
Speaker 2: wife is named Lauren, and my father's wife is named Laura.

768
00:38:46,480 --> 00:38:49,880
Speaker 4: Oh boy, wow.

769
00:38:50,120 --> 00:38:50,680
Speaker 3: Yeah.

770
00:38:52,080 --> 00:38:56,279
Speaker 1: All of my friends married Amanda's and friends. If I

771
00:38:56,400 --> 00:38:58,799
Speaker 1: ever forgot espouse's name, I think I would just say

772
00:38:58,840 --> 00:39:02,000
Speaker 1: Amanda and I'd be eighty percent likely to get it right.

773
00:39:03,200 --> 00:39:05,360
Speaker 2: All right, I'm gonna get into this story real quick

774
00:39:05,400 --> 00:39:08,520
Speaker 2: for you guys. This was sent in again by copy Haste.

775
00:39:08,520 --> 00:39:09,200
Speaker 1: Thank you so much.

776
00:39:09,239 --> 00:39:13,319
Speaker 2: Copyte This is from The Guardian. I've got a third one.

777
00:39:13,320 --> 00:39:14,600
Speaker 2: I'm not going to be able to get to it,

778
00:39:14,640 --> 00:39:17,279
Speaker 2: but I got a third copy Hase one. This from

779
00:39:17,320 --> 00:39:21,759
Speaker 2: The Guardian, written by Hannah Devlyn, oh best in the

780
00:39:21,800 --> 00:39:26,000
Speaker 2: biz science police content for The Guardian. Scientists try to

781
00:39:26,040 --> 00:39:29,040
Speaker 2: teach robot to laugh at the right time. This is

782
00:39:29,360 --> 00:39:32,600
Speaker 2: absolutely right up my alley, Chloe, because in case you

783
00:39:32,640 --> 00:39:35,080
Speaker 2: don't know, and in fact, no one knows because my

784
00:39:35,239 --> 00:39:37,600
Speaker 2: special comes out in two days.

785
00:39:37,880 --> 00:39:40,279
Speaker 1: There you go, but there is a there.

786
00:39:40,440 --> 00:39:44,319
Speaker 2: I have a post credit scene to my special in

787
00:39:44,360 --> 00:39:47,959
Speaker 2: which these guys I know who are data scientists, wrote

788
00:39:48,000 --> 00:39:51,600
Speaker 2: me an algorithm that writes jokes, so they like feed

789
00:39:51,680 --> 00:39:55,160
Speaker 2: it hundreds of hours of stand up. It's called Jokatron,

790
00:39:55,600 --> 00:39:58,040
Speaker 2: and so like, I bring Jokatron out and we like

791
00:39:58,200 --> 00:40:00,200
Speaker 2: just like a Marvel movie where a new character it's

792
00:40:00,239 --> 00:40:03,799
Speaker 2: introduced post credits with post credits scene with Jokatron on

793
00:40:03,840 --> 00:40:07,920
Speaker 2: stage doing jokes and they're very funny and stupor super stupid.

794
00:40:08,440 --> 00:40:10,600
Speaker 2: And so this is kind of this right up my alley.

795
00:40:10,640 --> 00:40:13,560
Speaker 2: This is the flip side of it. Laughter comes in

796
00:40:13,600 --> 00:40:16,640
Speaker 2: many forms, from a polite chuckle to a contagious howl

797
00:40:16,760 --> 00:40:20,120
Speaker 2: of mirth. Scientists are now developing an AI system that

798
00:40:20,160 --> 00:40:23,640
Speaker 2: aims to recreate these nuances of humor by laughing in

799
00:40:23,680 --> 00:40:26,520
Speaker 2: the right way at the right time. The team behind

800
00:40:26,520 --> 00:40:29,279
Speaker 2: the laughing robot, which is called Erica, say that the

801
00:40:29,400 --> 00:40:36,200
Speaker 2: system could improve natural conversations between people at AI systems. Well, okay,

802
00:40:36,200 --> 00:40:38,319
Speaker 2: it is interesting. They could have called it chuckle bot.

803
00:40:38,400 --> 00:40:40,000
Speaker 2: I will love the chuckle bot.

804
00:40:40,360 --> 00:40:48,239
Speaker 3: Yeah, what a hey, Hey, this is my robot laugher Erica.

805
00:40:48,640 --> 00:40:52,840
Speaker 3: Now the question is does Erica laugh when she gets

806
00:40:52,840 --> 00:40:54,760
Speaker 3: introduced because her name.

807
00:40:54,680 --> 00:40:57,799
Speaker 4: Is objectedly funny, and she.

808
00:40:57,840 --> 00:41:00,840
Speaker 3: Doesn't laugh when people say this is my laughing robot Erica.

809
00:41:01,000 --> 00:41:02,800
Speaker 4: Then he's a fucking failure.

810
00:41:05,040 --> 00:41:07,839
Speaker 2: I mean, like she's like that is one of the things.

811
00:41:07,840 --> 00:41:11,160
Speaker 2: Also immediately that you're like she where we're saying like

812
00:41:11,280 --> 00:41:14,000
Speaker 2: she to the AI system. I mean, it is a

813
00:41:14,040 --> 00:41:16,880
Speaker 2: fucking it's a bunch of code in a box. Okay,

814
00:41:17,200 --> 00:41:19,840
Speaker 2: here it is, Oh I guess it. No, it's a robot. Sorry,

815
00:41:19,960 --> 00:41:25,640
Speaker 2: it is a a female looking anthropomorphic Asian robot.

816
00:41:26,120 --> 00:41:29,520
Speaker 3: Still a bunch of coox. A female looking anthropomorphic robot.

817
00:41:30,400 --> 00:41:32,640
Speaker 3: It's still a bunch of cod box.

818
00:41:33,880 --> 00:41:34,280
Speaker 1: Cody.

819
00:41:34,800 --> 00:41:36,799
Speaker 2: Why don't you say, Chloe, because they're going to listen

820
00:41:36,840 --> 00:41:39,960
Speaker 2: to this and later they could come for you. Okay,

821
00:41:40,200 --> 00:41:42,120
Speaker 2: I'm just saying, be nice to him.

822
00:41:42,000 --> 00:41:46,520
Speaker 4: Now, Overlord, take me out, fucking I'm not trying to fight.

823
00:41:46,680 --> 00:41:51,960
Speaker 1: I'm not, but do it with that dog one.

824
00:41:52,800 --> 00:41:54,120
Speaker 2: If any of them are going to kill me, I

825
00:41:54,120 --> 00:41:56,040
Speaker 2: want to be beat to death by that dog robot.

826
00:41:56,160 --> 00:41:58,799
Speaker 2: I don't want the big humanoid robot to kill me.

827
00:41:58,840 --> 00:42:00,680
Speaker 2: I want the dog one like step on me a

828
00:42:00,760 --> 00:42:02,480
Speaker 2: thousand times smart here.

829
00:42:02,920 --> 00:42:07,120
Speaker 4: I want to die in slow, excruciating pain.

830
00:42:08,520 --> 00:42:11,040
Speaker 2: From it as a dog, going back and forth, back

831
00:42:11,040 --> 00:42:13,600
Speaker 2: and forth, opening doors, back and forth, opening doors.

832
00:42:13,760 --> 00:42:16,400
Speaker 1: Yeah, I want the robot to kill that's killing me.

833
00:42:16,800 --> 00:42:19,680
Speaker 1: You know. First, I wanted to laugh at inappropriate times.

834
00:42:19,760 --> 00:42:21,359
Speaker 1: I don't want it to laugh at the right time.

835
00:42:21,600 --> 00:42:24,400
Speaker 1: So I wanted to do something. I scream. It waits

836
00:42:24,440 --> 00:42:26,560
Speaker 1: an awkward beat and then starts laughing.

837
00:42:26,680 --> 00:42:26,759
Speaker 4: Right.

838
00:42:26,880 --> 00:42:31,360
Speaker 3: Yeah, I wanted to kill the humor of the moment first,

839
00:42:31,400 --> 00:42:31,680
Speaker 3: thank you.

840
00:42:32,239 --> 00:42:33,560
Speaker 1: There it is, there, it is.

841
00:42:34,000 --> 00:42:37,560
Speaker 2: We think that one of the important function of conversational

842
00:42:37,600 --> 00:42:41,920
Speaker 2: AI is empathy, said doctor Kogi Nu of Kyoto University,

843
00:42:41,920 --> 00:42:44,640
Speaker 2: the lead author of the research published in Frontiers of

844
00:42:44,760 --> 00:42:47,160
Speaker 2: Robotics and AI. So we decided that one way a

845
00:42:47,239 --> 00:42:50,240
Speaker 2: robot can empathize with users is to share their laughter

846
00:42:50,880 --> 00:42:52,959
Speaker 2: in you and his colleagues have set out to teach

847
00:42:53,000 --> 00:42:56,399
Speaker 2: their AI system the art of conversational laughter. They gather

848
00:42:56,520 --> 00:42:59,880
Speaker 2: training data for more than eighty speed dating dialogues between

849
00:43:00,040 --> 00:43:04,920
Speaker 2: male university students and the robot, who was initially teleoperated

850
00:43:04,920 --> 00:43:10,240
Speaker 2: by four female amateur actors, not professional actors. Folks, they're

851
00:43:10,320 --> 00:43:14,400
Speaker 2: using amateurs for this also dialogue.

852
00:43:14,920 --> 00:43:16,520
Speaker 4: They're only they're training.

853
00:43:18,360 --> 00:43:23,040
Speaker 3: The banter that they're using is from twenty year old

854
00:43:23,160 --> 00:43:24,320
Speaker 3: men in college.

855
00:43:24,440 --> 00:43:28,280
Speaker 2: Yeah, so you think they're speed dating a robot.

856
00:43:30,360 --> 00:43:33,319
Speaker 4: Hate these females, It is so.

857
00:43:33,960 --> 00:43:37,200
Speaker 2: I mean, the when you're speed dating a robot, you're

858
00:43:37,239 --> 00:43:42,040
Speaker 2: probably laughing at fucking weird times because your speed dating

859
00:43:42,200 --> 00:43:45,479
Speaker 2: a robot. It should have just been like normal two

860
00:43:45,800 --> 00:43:47,440
Speaker 2: humans having a conversation.

861
00:43:47,640 --> 00:43:49,560
Speaker 1: The fuck is wrong with these people?

862
00:43:54,360 --> 00:43:54,839
Speaker 4: I don't know.

863
00:43:54,960 --> 00:43:57,320
Speaker 1: Twenty year old guys. They're so funny. They put empty

864
00:43:57,320 --> 00:43:59,560
Speaker 1: beer boxes on their head like a crown, and they

865
00:43:59,640 --> 00:44:01,800
Speaker 1: quote movies and commercials and stuff.

866
00:44:01,880 --> 00:44:04,920
Speaker 3: Yeah, they and they can recite all of dumb and dumber.

867
00:44:06,200 --> 00:44:09,040
Speaker 1: Yeah, you know, funny guys. Wow.

868
00:44:09,880 --> 00:44:13,640
Speaker 2: The dialogue data was annotated for solo laughs, social laughs

869
00:44:13,680 --> 00:44:17,440
Speaker 2: where humor isn't involved, such as in polite or embarrassed laughter,

870
00:44:18,000 --> 00:44:21,279
Speaker 2: and laughter of mirth. This data was then used to

871
00:44:21,280 --> 00:44:23,880
Speaker 2: it and they use the word mirth all the time.

872
00:44:24,239 --> 00:44:27,360
Speaker 1: Laughter of data that I oh, this was a laughter

873
00:44:27,440 --> 00:44:27,920
Speaker 1: of mirth.

874
00:44:28,360 --> 00:44:31,040
Speaker 2: This data was then used to train machine learning systems

875
00:44:31,080 --> 00:44:33,440
Speaker 2: to decide whether to laugh and to choose the appropriate

876
00:44:33,480 --> 00:44:36,440
Speaker 2: type type it might feel socially awkward to mimic a

877
00:44:36,480 --> 00:44:39,479
Speaker 2: small chuckle, but empathetic to join in with a hearty laugh.

878
00:44:39,600 --> 00:44:43,000
Speaker 2: I do not agree with that sentence in any way,

879
00:44:43,000 --> 00:44:47,800
Speaker 2: shape or form. Un socially awkward to mimic a small

880
00:44:47,880 --> 00:44:51,640
Speaker 2: chuckle then to join in with a fake laugh.

881
00:44:54,320 --> 00:44:56,680
Speaker 1: That seems fucking crazy.

882
00:44:57,960 --> 00:45:03,160
Speaker 4: Fucking suck. They are running this are not fun or funny.

883
00:45:03,640 --> 00:45:06,799
Speaker 4: People running this are running this because they're like, we

884
00:45:06,880 --> 00:45:08,239
Speaker 4: can never figure.

885
00:45:07,920 --> 00:45:11,359
Speaker 3: Out when to laugh. Yes, and everybody thinks we are

886
00:45:11,440 --> 00:45:15,040
Speaker 3: so fucking awkward. So maybe if we make a robot that.

887
00:45:15,040 --> 00:45:16,520
Speaker 4: Tells us when to laugh.

888
00:45:16,719 --> 00:45:20,040
Speaker 3: We'll finally fit in at family Thanksgiving.

889
00:45:21,960 --> 00:45:24,080
Speaker 1: Chloe, I think you're big, too generous. I think it's

890
00:45:24,120 --> 00:45:25,799
Speaker 1: the other way. I think it's a bunch of guys

891
00:45:25,800 --> 00:45:28,560
Speaker 1: that are like, we have never successfully made a human

892
00:45:28,600 --> 00:45:32,160
Speaker 1: woman laugh. Yes, but we need to name a robot Erica,

893
00:45:32,320 --> 00:45:35,680
Speaker 1: which is funny to Americans only, And we need a

894
00:45:35,760 --> 00:45:37,799
Speaker 1: robot that will sit across from us as we crack

895
00:45:37,880 --> 00:45:40,200
Speaker 1: jokes that do not make sense, and it laughs when

896
00:45:40,280 --> 00:45:41,120
Speaker 1: we stop talking.

897
00:45:41,280 --> 00:45:43,960
Speaker 4: Listen, Babe, listen, babe. Listen Babe, Listen Babe, Listen Babe.

898
00:45:43,960 --> 00:45:44,760
Speaker 4: I got listen.

899
00:45:44,600 --> 00:45:50,840
Speaker 2: Babe ha ha ha ha, Erica likes Erica likes.

900
00:45:51,600 --> 00:46:00,000
Speaker 1: Your tongue is long enough for me. What a nightmare.

901
00:46:02,440 --> 00:46:05,399
Speaker 2: It is a great story. And then it just goes

902
00:46:05,400 --> 00:46:07,759
Speaker 2: on and explains kind of like the more details of it.

903
00:46:07,760 --> 00:46:09,839
Speaker 2: There was like four different laughs that it could use,

904
00:46:10,719 --> 00:46:12,799
Speaker 2: and then people would rate if the laughs were being

905
00:46:12,920 --> 00:46:15,880
Speaker 2: used properly, and then just right at the end. Professor

906
00:46:15,960 --> 00:46:19,360
Speaker 2: Sandra Walker of the Universe of the Oxford Internet Institute

907
00:46:19,360 --> 00:46:22,520
Speaker 2: at the University of Oxford, which definitely sounds like a

908
00:46:22,600 --> 00:46:26,640
Speaker 2: University of Phoenix. If I've ever heard ond said quote,

909
00:46:26,680 --> 00:46:28,600
Speaker 2: one of the things I'd keep in mind is that

910
00:46:28,640 --> 00:46:31,680
Speaker 2: a robot or algorithm will never be able to understand you.

911
00:46:31,880 --> 00:46:35,520
Speaker 2: It doesn't know you. It doesn't understand you, and doesn't

912
00:46:35,600 --> 00:46:39,160
Speaker 2: understand the meaning of laughter. They're not sentient, but they

913
00:46:39,239 --> 00:46:40,560
Speaker 2: might get very good at.

914
00:46:40,440 --> 00:46:42,560
Speaker 1: Making you believe they understand what's going on.

915
00:46:42,760 --> 00:46:47,399
Speaker 2: It's like, holy shit, Professor Sandra Walker coming over here

916
00:46:47,680 --> 00:46:50,400
Speaker 2: to fucking shit all over Aerica.

917
00:46:50,719 --> 00:46:54,800
Speaker 3: Professor Sandra Walker got divorced from a robot.

918
00:46:54,800 --> 00:46:59,120
Speaker 4: From sim The reason he'll never understand you.

919
00:46:59,520 --> 00:47:03,280
Speaker 3: He does a get it all right, okay you he doesn't.

920
00:47:03,320 --> 00:47:05,839
Speaker 4: He doesn't know what you want for Christmas. He doesn't.

921
00:47:05,840 --> 00:47:08,480
Speaker 4: He's not gonna remember your birthday. He might make it

922
00:47:08,520 --> 00:47:09,439
Speaker 4: seem like he does.

923
00:47:10,200 --> 00:47:16,960
Speaker 1: No, no way, God, that is incredible. That is so incredible. Well,

924
00:47:16,960 --> 00:47:19,200
Speaker 1: I have one more quick one since KURTI b had

925
00:47:19,200 --> 00:47:21,080
Speaker 1: to bow out. Chloe, have you had a nice time

926
00:47:21,080 --> 00:47:22,200
Speaker 1: on bananas thus far?

927
00:47:22,280 --> 00:47:24,959
Speaker 4: I've had a I've had a hilarious and fantastic time.

928
00:47:25,960 --> 00:47:28,279
Speaker 1: Well, good, I'm gonna come see you. I know it's

929
00:47:28,280 --> 00:47:30,520
Speaker 1: gonna this is gonna come out after. But you're headlining

930
00:47:30,600 --> 00:47:32,359
Speaker 1: the Improv Lab Lab next one?

931
00:47:32,440 --> 00:47:35,440
Speaker 3: Yes, correct, Yes, Tuesday, November first, which, for everybody listening

932
00:47:35,560 --> 00:47:36,960
Speaker 3: is in the past.

933
00:47:38,760 --> 00:47:39,680
Speaker 1: Kill check in.

934
00:47:39,840 --> 00:47:40,319
Speaker 4: Yeah. Yeah.

935
00:47:40,520 --> 00:47:42,000
Speaker 3: I want you to know, if you're listening to this,

936
00:47:42,840 --> 00:47:45,360
Speaker 3: you missed the greatest stand up comedy performance.

937
00:47:44,960 --> 00:47:47,760
Speaker 4: Of all time. Actually that's a It was the legend,

938
00:47:47,760 --> 00:47:49,120
Speaker 4: has it that Chloe.

939
00:47:48,920 --> 00:47:52,160
Speaker 3: Redcliffe crushed at the Hollywood Improv Lab a few days ago.

940
00:47:53,160 --> 00:47:55,279
Speaker 1: I've seen so many great shows there though. I love

941
00:47:55,480 --> 00:47:59,279
Speaker 1: I love the Hollywood Improv Lab. I did you have

942
00:47:59,360 --> 00:48:01,960
Speaker 1: any pick in the lineup or were they like, hey.

943
00:48:01,840 --> 00:48:03,880
Speaker 4: I did I booked the I booked the whole line up.

944
00:48:03,920 --> 00:48:07,000
Speaker 1: Give us some name. I'm going to see you on Tuesday.

945
00:48:06,880 --> 00:48:14,040
Speaker 3: Yes, uh Okotska and Yes, Ian Carmel.

946
00:48:14,160 --> 00:48:16,040
Speaker 1: Hilarious, did house party with me?

947
00:48:16,239 --> 00:48:16,840
Speaker 4: So funny?

948
00:48:17,239 --> 00:48:20,200
Speaker 1: Aquila Hughes on the pod did bananas?

949
00:48:20,480 --> 00:48:22,640
Speaker 4: Wow? Look at this? And then Patrick Sussmilch.

950
00:48:23,000 --> 00:48:25,160
Speaker 1: No idea who that is, but I'm with him or

951
00:48:25,200 --> 00:48:25,759
Speaker 1: them luck.

952
00:48:26,120 --> 00:48:28,680
Speaker 3: Yes, he is a very funny stand up who is

953
00:48:28,719 --> 00:48:31,120
Speaker 3: originally from Minneapolis. We started in Minneapolis together. We have

954
00:48:31,160 --> 00:48:32,480
Speaker 3: just stayed best friends. He lives at here.

955
00:48:32,480 --> 00:48:32,719
Speaker 4: Now.

956
00:48:32,920 --> 00:48:35,120
Speaker 1: I can't believe you and I haven't crossed paths before,

957
00:48:35,320 --> 00:48:37,600
Speaker 1: but I'll say hey, I'll go, hey, we met. I'm

958
00:48:37,600 --> 00:48:40,479
Speaker 1: Scotti from Bananas. And then Harriet, you have to laugh,

959
00:48:40,520 --> 00:48:43,080
Speaker 1: either like a robot or like a real human woman.

960
00:48:44,280 --> 00:48:49,200
Speaker 1: Let's well, let's see, let's go out.

961
00:48:49,400 --> 00:48:50,359
Speaker 4: How was that for time?

962
00:48:50,760 --> 00:48:55,120
Speaker 1: I loved it? Best I've ever had honestly. This was

963
00:48:55,160 --> 00:49:00,080
Speaker 1: sent in by Jenna Danielle. Thank you, Jenna Danielle. H

964
00:49:01,280 --> 00:49:03,000
Speaker 1: this is a rare one. We don't do this all

965
00:49:03,040 --> 00:49:04,959
Speaker 1: the time. We've done a couple of these on the pod,

966
00:49:05,040 --> 00:49:08,680
Speaker 1: but this was actually a Reddit post on today. I

967
00:49:08,840 --> 00:49:13,360
Speaker 1: fed up so t if you and I think it

968
00:49:13,400 --> 00:49:16,279
Speaker 1: was posted by more than dork, so you know it's

969
00:49:16,280 --> 00:49:20,120
Speaker 1: going to be juicy great today. I fucked up by

970
00:49:20,160 --> 00:49:26,920
Speaker 1: throwing a steak out a window last night. Yes, okay, ready,

971
00:49:27,239 --> 00:49:30,239
Speaker 1: last night, my wife's boss from her brand new job

972
00:49:30,320 --> 00:49:33,280
Speaker 1: invited us over for dinner. Also jump in at any point,

973
00:49:33,320 --> 00:49:37,120
Speaker 1: no problem. On the drive over, my wife reiterated many

974
00:49:37,200 --> 00:49:39,279
Speaker 1: times to me how important it was to make a

975
00:49:39,280 --> 00:49:43,200
Speaker 1: good impression. I scoffed and arrogantly informed my silly wife.

976
00:49:43,239 --> 00:49:46,560
Speaker 1: Not a great start. I was that I always make

977
00:49:46,600 --> 00:49:50,600
Speaker 1: good impressions. My wife's boss is a single lady in

978
00:49:50,640 --> 00:49:52,560
Speaker 1: her fifties, so it was just the three of us.

979
00:49:53,640 --> 00:49:57,440
Speaker 4: I need to point out that are you are you

980
00:49:57,560 --> 00:50:00,279
Speaker 4: dating a are you are you partner to a woman?

981
00:50:00,560 --> 00:50:00,799
Speaker 1: Yes?

982
00:50:01,400 --> 00:50:01,680
Speaker 4: Yes?

983
00:50:01,920 --> 00:50:06,440
Speaker 3: Has she ever had to reinforce it sounds like upwards

984
00:50:06,480 --> 00:50:08,920
Speaker 3: of three or four times, Hey, you have to make

985
00:50:08,960 --> 00:50:10,600
Speaker 3: a good impression on this person.

986
00:50:10,560 --> 00:50:11,040
Speaker 1: Not once.

987
00:50:11,760 --> 00:50:11,960
Speaker 4: Yeah.

988
00:50:12,000 --> 00:50:16,080
Speaker 3: So it really does seem like, whoever this guy is,

989
00:50:16,120 --> 00:50:19,760
Speaker 3: he's starting his track record might not be the best.

990
00:50:20,120 --> 00:50:22,760
Speaker 1: Oh yeah, he's off to a weird start. I mean,

991
00:50:23,080 --> 00:50:24,239
Speaker 1: if it is, we don't know what.

992
00:50:24,200 --> 00:50:26,799
Speaker 4: The history is here, you know, but it's not looking good.

993
00:50:27,280 --> 00:50:30,840
Speaker 1: That's right. So my BET's exactly right. My boss's wife

994
00:50:30,920 --> 00:50:33,759
Speaker 1: is a single lady in her fifties, so it was

995
00:50:33,880 --> 00:50:35,840
Speaker 1: just the three of us. We chit chatted over drinks

996
00:50:35,880 --> 00:50:38,439
Speaker 1: and salads and seemed to be really hitting it off.

997
00:50:38,560 --> 00:50:41,839
Speaker 1: She laughed at my well timed, perfectly appropriate jokes, and

998
00:50:41,880 --> 00:50:43,200
Speaker 1: my wife seemed pleased.

999
00:50:44,000 --> 00:50:47,040
Speaker 4: Yeah, wow, is that is Erica writing your drugs for you?

1000
00:50:47,440 --> 00:50:47,920
Speaker 3: I know?

1001
00:50:50,080 --> 00:50:53,000
Speaker 1: Soon she brought them in course, a nice, big, juicy

1002
00:50:53,040 --> 00:50:55,640
Speaker 1: steak for each of us. As I began to cut

1003
00:50:55,719 --> 00:50:58,600
Speaker 1: to my steak, I was discouraged to discover how undercooked

1004
00:50:58,640 --> 00:51:01,960
Speaker 1: this steak was. Now, I've had my fair share of

1005
00:51:02,040 --> 00:51:05,239
Speaker 1: rare steak. I prefer medium, but I can handle rare.

1006
00:51:05,719 --> 00:51:08,960
Speaker 1: This was several minutes on the grill hot. Oh sorry,

1007
00:51:08,960 --> 00:51:11,799
Speaker 1: this was several minutes on the grill hot short of rare.

1008
00:51:12,360 --> 00:51:16,240
Speaker 1: I probably could have resuscitated the cow if I had tried. Instead,

1009
00:51:16,280 --> 00:51:18,440
Speaker 1: I sat there fidgeting with my knife and fork, worrying

1010
00:51:18,480 --> 00:51:20,480
Speaker 1: about how I was gonna get away with not eating

1011
00:51:20,520 --> 00:51:23,640
Speaker 1: the steak. See already, you just go? Could you throw

1012
00:51:23,680 --> 00:51:26,120
Speaker 1: this in just for two more minutes for me? I'm

1013
00:51:26,160 --> 00:51:31,040
Speaker 1: so sorry? And any host would say yes, of course, boy,

1014
00:51:31,280 --> 00:51:33,720
Speaker 1: yeah right, yeah.

1015
00:51:34,280 --> 00:51:35,920
Speaker 4: I'm a big fat wimp and I want my steak

1016
00:51:35,920 --> 00:51:36,719
Speaker 4: cooked more and you.

1017
00:51:36,840 --> 00:51:39,719
Speaker 1: Just go, you know whatever's take the l get what

1018
00:51:39,760 --> 00:51:41,080
Speaker 1: you want. So what do I do?

1019
00:51:41,800 --> 00:51:42,600
Speaker 4: Just eat it raw.

1020
00:51:44,320 --> 00:51:46,359
Speaker 1: You're gonna live, You're gonna make it through the night.

1021
00:51:46,560 --> 00:51:50,000
Speaker 1: Do I claim veganism? No, I'd already feigned great enthusiasm

1022
00:51:50,160 --> 00:51:52,840
Speaker 1: upon seeing the steak. Just then, our host has excused

1023
00:51:52,840 --> 00:51:55,840
Speaker 1: herself to the kitchen to take care of some dessert preparations.

1024
00:51:56,200 --> 00:51:58,480
Speaker 1: As I looked around the fancy dining room table at

1025
00:51:58,480 --> 00:52:00,880
Speaker 1: the open window of this third story apartment, a cartoon

1026
00:52:00,960 --> 00:52:04,840
Speaker 1: light bulb appeared over my head. And oh yeah, I

1027
00:52:04,920 --> 00:52:07,680
Speaker 1: knew I had to be decisive. Realizing that she could

1028
00:52:07,760 --> 00:52:11,160
Speaker 1: return at any moment, I committed to it. I grabbed

1029
00:52:11,160 --> 00:52:13,640
Speaker 1: the steak with my hand, gently shook off the juice

1030
00:52:13,640 --> 00:52:16,560
Speaker 1: and before and executed a perfect throw right through the

1031
00:52:16,600 --> 00:52:20,200
Speaker 1: center of the open window. Why here's here's the big time. Fu.

1032
00:52:20,719 --> 00:52:25,680
Speaker 1: The window wasn't open. It was the cleanest freaking window

1033
00:52:25,719 --> 00:52:28,640
Speaker 1: I've ever seen in my life. That is, until my

1034
00:52:28,760 --> 00:52:33,120
Speaker 1: mostly raw slab of steak slammed up against it and

1035
00:52:33,200 --> 00:52:35,719
Speaker 1: slowly slid down, leaving a trail of bloody juice in

1036
00:52:35,760 --> 00:52:39,200
Speaker 1: it's wake. My wife, whose steak was a nice medium

1037
00:52:39,280 --> 00:52:42,880
Speaker 1: rare and was unaware of my predicament. Turns jall dropped

1038
00:52:42,920 --> 00:52:44,839
Speaker 1: and stared like me, like I was an alien from

1039
00:52:44,880 --> 00:52:48,759
Speaker 1: another planet. He threw a steak into a window in

1040
00:52:48,800 --> 00:52:50,840
Speaker 1: a night where he's just not supprised.

1041
00:52:50,440 --> 00:52:52,360
Speaker 4: His wife was not gonna notice.

1042
00:52:52,920 --> 00:52:54,160
Speaker 1: Totally fucking crazy.

1043
00:52:54,440 --> 00:52:57,480
Speaker 3: Did he think even if the window was open, did

1044
00:52:57,560 --> 00:52:59,759
Speaker 3: he think that his wife was gonna look over?

1045
00:53:00,680 --> 00:53:04,279
Speaker 4: Was gonna miss the like fling the elbow movement.

1046
00:53:04,200 --> 00:53:07,840
Speaker 1: Right, it's gonna be like nice, good toss man. You

1047
00:53:08,000 --> 00:53:10,239
Speaker 1: ate that steak so fast, I'm gonna lie with you

1048
00:53:10,320 --> 00:53:11,000
Speaker 1: the whole time.

1049
00:53:12,640 --> 00:53:15,839
Speaker 3: Okay, okay, So yes, so this is like a family guy,

1050
00:53:16,200 --> 00:53:18,200
Speaker 3: you know, trying to throw the frog out the window.

1051
00:53:18,880 --> 00:53:23,080
Speaker 1: Yes, so unaware my predicament. Her jaw, Her jaw dropped,

1052
00:53:23,120 --> 00:53:24,760
Speaker 1: and she stared like me, like I was an alien

1053
00:53:24,800 --> 00:53:28,360
Speaker 1: from another planet. This looked slowly turned and morphed into

1054
00:53:28,480 --> 00:53:30,480
Speaker 1: there is a no place on this planet you can

1055
00:53:30,560 --> 00:53:33,920
Speaker 1: ever hide from me, expression of demonior anger. Fair.

1056
00:53:35,120 --> 00:53:37,520
Speaker 4: Yeah, I'm on the wife side this whole time.

1057
00:53:37,840 --> 00:53:41,440
Speaker 1: Of course, my wife's boss heard the thud of the

1058
00:53:41,480 --> 00:53:44,719
Speaker 1: steak on the window and came quickly. She took in

1059
00:53:44,800 --> 00:53:47,880
Speaker 1: the scene, the steak sitting on the windowsill, with blood

1060
00:53:47,920 --> 00:53:50,560
Speaker 1: trailing down my empty plate, and then gave me a

1061
00:53:50,600 --> 00:53:53,919
Speaker 1: puzzled look. It was like I didn't know what to say.

1062
00:53:53,920 --> 00:53:56,480
Speaker 1: It felt like a moment of silence, three or four

1063
00:53:56,520 --> 00:53:59,120
Speaker 1: seconds at most, though, And finally the best I could

1064
00:53:59,120 --> 00:54:02,560
Speaker 1: manage is I'm so sorry. I am such a klutz.

1065
00:54:02,640 --> 00:54:05,320
Speaker 1: I don't know. I was just cutting it and it slipped.

1066
00:54:05,440 --> 00:54:07,880
Speaker 1: Just ask my wife. I really am a klutz. Honey,

1067
00:54:08,160 --> 00:54:11,279
Speaker 1: right here, I will clean this up. I'm so sorry,

1068
00:54:11,320 --> 00:54:13,840
Speaker 1: I'm so sorry. Both women continue to stare at me

1069
00:54:13,920 --> 00:54:16,319
Speaker 1: like I had escaped from the looney bin as I

1070
00:54:16,360 --> 00:54:19,000
Speaker 1: smeared the blood around the window with my cloth napkin,

1071
00:54:20,600 --> 00:54:23,200
Speaker 1: dusted off the steak, and continued to mutter my inco

1072
00:54:23,280 --> 00:54:28,239
Speaker 1: here and explanation. So nobody bought the story. Uh. He

1073
00:54:28,320 --> 00:54:31,640
Speaker 1: proceeded to eat every bite of the disgusting, cold, bloody,

1074
00:54:31,719 --> 00:54:32,680
Speaker 1: raw steak.

1075
00:54:32,840 --> 00:54:34,760
Speaker 4: Window slapped steak.

1076
00:54:34,880 --> 00:54:40,399
Speaker 3: Now, yes, okay, yeah, so he eats the whole thing.

1077
00:54:40,560 --> 00:54:41,640
Speaker 4: Sure, that's fine.

1078
00:54:41,960 --> 00:54:44,080
Speaker 1: I remained pretty quick. Could have done it from the jump,

1079
00:54:44,120 --> 00:54:47,439
Speaker 1: could have saved everybody a lot of embarrassment. Pretty quiet

1080
00:54:47,440 --> 00:54:50,080
Speaker 1: for the rest of evening. My wife's only two words

1081
00:54:50,120 --> 00:54:53,600
Speaker 1: to me since the incident, or after the incident really is.

1082
00:54:53,719 --> 00:54:55,480
Speaker 1: I think what he's trying to say is I'm fine.

1083
00:54:55,680 --> 00:54:59,320
Speaker 1: And then here's the update. Just got my first post

1084
00:54:59,480 --> 00:55:02,440
Speaker 1: I'm fine. Communication from my wife via text to us

1085
00:55:02,440 --> 00:55:07,000
Speaker 1: at work quote, good news my boss's name and I

1086
00:55:07,120 --> 00:55:09,680
Speaker 1: had such a good laugh over how much of a

1087
00:55:09,719 --> 00:55:12,319
Speaker 1: fucking idiot you are? I hope you know you will

1088
00:55:12,400 --> 00:55:18,680
Speaker 1: never live this down. Love you moron? Well handled? Wow, wife, when.

1089
00:55:18,880 --> 00:55:21,000
Speaker 4: She should leave him, he.

1090
00:55:21,080 --> 00:55:25,880
Speaker 1: Should absolutely consider another man in her life.

1091
00:55:25,920 --> 00:55:31,680
Speaker 4: I mean, if here's the thing, I don't know this guy.

1092
00:55:32,280 --> 00:55:36,160
Speaker 5: Maybe maybe he's a fucking charmer, and this is like

1093
00:55:36,480 --> 00:55:40,200
Speaker 5: he's a goofy dude, and sometimes he makes goofy jokes

1094
00:55:40,520 --> 00:55:43,000
Speaker 5: and he's really a wonderful man and he's.

1095
00:55:42,880 --> 00:55:46,160
Speaker 4: Going to be a great dad someday. Yes, and you know,

1096
00:55:46,360 --> 00:55:47,880
Speaker 4: sometimes he goofs up.

1097
00:55:48,840 --> 00:55:51,480
Speaker 1: He's a clode. Sometimes he panics and chucks his steak.

1098
00:55:52,040 --> 00:55:53,000
Speaker 3: He that.

1099
00:55:53,880 --> 00:55:57,520
Speaker 4: But just from this story, I am on the leave

1100
00:55:57,640 --> 00:55:58,920
Speaker 4: him trade.

1101
00:55:59,440 --> 00:56:01,560
Speaker 1: Yeah, that's a pretty big red flag. I would say

1102
00:56:01,600 --> 00:56:04,240
Speaker 1: it's a red flag just smearing down a clear window

1103
00:56:04,320 --> 00:56:05,800
Speaker 1: in your boss's free story.

1104
00:56:06,239 --> 00:56:08,680
Speaker 4: Yeah, it's a blood red flag.

1105
00:56:09,160 --> 00:56:12,000
Speaker 1: That's it. Well, Chloe, where can they find you? Where

1106
00:56:12,000 --> 00:56:15,839
Speaker 1: can the bananas track you down on Animal TikTok. What

1107
00:56:15,880 --> 00:56:16,440
Speaker 1: do you got?

1108
00:56:16,920 --> 00:56:19,319
Speaker 3: I'm on, I'm on all the social media platforms. My

1109
00:56:19,360 --> 00:56:22,080
Speaker 3: handle is at Chloe Badcliff.

1110
00:56:22,280 --> 00:56:25,440
Speaker 4: On all I am. My name is Chloe Radcliffe and

1111
00:56:25,480 --> 00:56:26,560
Speaker 4: it's like my last name.

1112
00:56:26,600 --> 00:56:27,959
Speaker 1: But that's good.

1113
00:56:28,280 --> 00:56:31,120
Speaker 4: I get it, and yeah, it's good, it's good. It's

1114
00:56:31,160 --> 00:56:33,799
Speaker 4: bad anyway, that's where I am.

1115
00:56:33,840 --> 00:56:36,160
Speaker 1: Thanks so much for being on and thanks for riding

1116
00:56:36,160 --> 00:56:38,520
Speaker 1: out the back of this episode. Now the Kurt had

1117
00:56:38,520 --> 00:56:41,520
Speaker 1: to go live his Hollywood dreams. If you just do

1118
00:56:41,719 --> 00:56:43,920
Speaker 1: the moles favor and we'll say bananas on three and

1119
00:56:43,960 --> 00:56:59,359
Speaker 1: we'll wrap it up tight absolutely two three Bananas. Bananas

1120
00:56:59,440 --> 00:57:01,280
Speaker 1: is an exact write media production.

1121
00:57:01,440 --> 00:57:03,759
Speaker 2: Our producer and engineer is Katie Levine.

1122
00:57:04,080 --> 00:57:07,280
Speaker 1: The catchy Bananas theme song was composed and performed by Kahon.

1123
00:57:07,520 --> 00:57:11,000
Speaker 2: Artwork for Bananas was designed by Travis Millard and.

1124
00:57:11,000 --> 00:57:14,080
Speaker 1: Our benevolent overlords are the Great Karen Kilgarriff and Georgia

1125
00:57:14,120 --> 00:57:14,600
Speaker 1: Hartstart

1126
00:57:14,719 --> 00:57:17,520
Speaker 2: And Lisa Maggott is our full human, not a robot

1127
00:57:17,560 --> 00:57:19,040
Speaker 2: intern