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Speaker 1: Scotti.

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Speaker 2: You ready, Purty, I am pumped up and ready to

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Speaker 2: laugh and laugh and laugh.

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Speaker 3: This is a This one is like it's not like

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Speaker 3: a laugh out loud when you hear it, but it

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Speaker 3: is fascinating here it is.

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Speaker 2: Okay.

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Speaker 3: New study reveals people's faces evolved to match their names.

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Speaker 2: Well, this is what scientists should be working on, because

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Speaker 2: you I want to meet the guy who had the

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Speaker 2: hypothesis that was like, that guy looks like a Craig,

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Speaker 2: that woman looks like a Deborah. All right, face it.

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Speaker 2: It's a brand new Bananas.

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Speaker 4: Do world. Would you mind? Million pieces?

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Speaker 5: Bad guys, gals, non binary pals, Welcome to the Bananas Podcast.

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Speaker 3: Sitting across from me digitally is the award winning never screenwriter,

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Speaker 3: never one and greatest guy in the world.

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Speaker 2: Scottie land Is okay, I'll take that, And sitting across

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Speaker 2: from me is my best budd stand up comedian, writer, actor,

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Speaker 2: and he also has a podcast called bananas On exactly right,

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Speaker 2: the Big Banana himself, Kurt Browner, Browner, Kurt brown Owler, sorry, buddy,

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Speaker 2: and remember anyone can always call me Kurt Blah blah.

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Speaker 3: And that is, however, for to myself in the past

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Speaker 3: it doesn't, you'd never have to get it right.

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Speaker 2: Kurt, blah blah blah.

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Speaker 1: Hi Scotty, how are you.

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Speaker 2: I'm great, I'm thrilled, sun is shining, life is good. Yeah,

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Speaker 2: I'm good. I'm having a really nice week. Things are

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Speaker 2: looking better out there. Also, I've been enjoying the Olympics

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Speaker 2: in a way that I never have before, and I'm

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Speaker 2: not sure why, but we can get into that with ours.

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Speaker 3: Oh, I'm interested also for folks Bananas Fest. I know

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Speaker 3: we keep talking about it, but it's September seventh in Denver.

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Speaker 3: Late show tickets are I believe still available for the

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Speaker 3: Bananas Podcast that Saturday night. If we can sell that

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Speaker 3: show out, maybe maybe we can add a would you

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Speaker 3: rather on Friday night? Maybe we don't know yet, but

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Speaker 3: first we need to sell out both shows on sund.

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Speaker 2: It's more my hesitation because it's just Bananas Fest. It's

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Speaker 2: going to be wild, and I'm a writer. I'm like, good,

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Speaker 2: I'm gonna crank it up for Saturday. But we'll see.

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Speaker 2: I also do love that people are flying in from

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Speaker 2: international locations, so we do want to give them the

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Speaker 2: greatest weekend of their whole freaking life. But we'll get

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Speaker 2: into that later. We have a great guest.

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Speaker 1: We do have a fantastic guest.

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Speaker 3: Also, just a shout out, there's gonna be a Bananas

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Speaker 3: Singles meet up on Friday the Park in Denver and

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Speaker 3: also a Scooter Gang meet up on Friday.

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Speaker 2: All thumbs that up too.

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Speaker 1: Details coming later.

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Speaker 3: Our guest today is a comedian you've seen on Netflix,

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Speaker 3: Comedy Central, The Tonight Show. Her debut album, follow Up Questions,

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Speaker 3: is available everywhere right now, and she'll be at the

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Speaker 3: Edinburgh Fringe Festival for all of August.

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Speaker 1: Please welcome Canise Mobley.

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Speaker 2: Hello, thank you for having me to have you. Canise.

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Speaker 2: You're so funny, You're a great comedian.

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Speaker 6: I love this. We can just do this if you

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Speaker 6: want to.

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Speaker 2: I when we get guests recommended to us, we get

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Speaker 2: send emails or press releases or whatever. I do try

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Speaker 2: to watch as many clips or specials or whatever I

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Speaker 2: can watch, and I have to say I laughed at

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Speaker 2: every single one of yours.

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Speaker 6: Well, thank you.

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Speaker 2: So when you did the Tonight Show, you have a

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Speaker 2: unique Tonight Show experience was.

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Speaker 7: That during the Great Choar, it was at the height

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Speaker 7: of the Great Boar where they weren't recording inside mostly

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Speaker 7: like Norman did his from the Staten Island Ferry, and

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Speaker 7: I did mine on the roof of New York Comedy

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Speaker 7: Club twenty five degrees outside.

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Speaker 1: No, no, yes.

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Speaker 8: I brought heating those like heating pads that like you

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Speaker 8: can those instant heating pads. I brought those for the audience.

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Speaker 8: People had blankets. I asked them to drink as much

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Speaker 8: as possible. Yes, some bodies would stay warm while they

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Speaker 8: were outside. I have a problem where if it's cold,

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Speaker 8: my eyes water. So during the set I'm having to

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Speaker 8: like very like casually, like just dab my face or white.

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Speaker 1: Yes, yeah, I did not.

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Speaker 8: I would clearly oh, because I was like, it looked

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Speaker 8: like someone had been mean to me very the recording

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Speaker 8: of that set, because I just looked emotionally distraught.

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Speaker 6: But it was a fun time.

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Speaker 1: Was it a full show up there or was it

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Speaker 1: just you?

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Speaker 6: Thankfully it was a full show.

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Speaker 8: I mean thankfully for me because it set me up

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Speaker 8: in a nice way, but not great for the audience,

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Speaker 8: a lot of whom were people I knew who came.

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Speaker 6: To this because they knew I was recording.

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Speaker 8: But for them, I just I felt so bad that

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Speaker 8: it was like, Okay, you've got to be outside. It's

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Speaker 8: twenty five degrees, it's during the daytime, and it's gonna.

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Speaker 6: Be an hour and a half, so good luck, thanks, Okay, cool.

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Speaker 2: Virtually possible to get laughter in that situation. Honestly, the

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Speaker 2: cold helps a little bit. The heat would the heat

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Speaker 2: if you were like it was one hundred and five degrees,

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Speaker 2: I'm like, that is and on a rooftop in Manhattan,

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Speaker 2: worst case scenario, the cold at least makes you go,

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Speaker 2: let's give them some support. Let's get like you're a

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Speaker 2: little bit in hell, so you're like, let's give them

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Speaker 2: some support. Well, you did great in spite of all

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Speaker 2: those factors. It was a really good set and have

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Speaker 2: been back on tonight. So since I have not, I'm.

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Speaker 6: Hoping that they asked me back as like a hey,

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Speaker 6: that was not the best environment.

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Speaker 4: Right.

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Speaker 8: It's tough because I will say my comedy has gotten

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Speaker 8: it's only gotten dirtier since the pandemic. So it's just

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Speaker 8: a little harder for me to find material that is

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Speaker 8: tonight's show.

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Speaker 2: Okay, it's hard.

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Speaker 3: It is a very hard thing to do to put

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Speaker 3: together a late night set. I have a couple and

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Speaker 3: I don't I maybe have one of them that I

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Speaker 3: would be okay with someone watching, but I wouldn't be like,

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Speaker 3: that's representative of what it's like to see me do comedy.

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Speaker 8: People would be I'm hoping that no one sees that

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Speaker 8: and is like, ooh, this is a good thing to

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Speaker 8: take my Midwest Christian family too, because they would be traumatized.

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Speaker 2: Yeah, I do find from an audience I'm not a

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Speaker 2: stand up comedian, but I do find as a frequent

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Speaker 2: audience member that even the times I've taken people who

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Speaker 2: are a little more prudish or a little more vanilla

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Speaker 2: to a actual comedy club, they sort of open up,

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Speaker 2: like they kind of get that they're in the different zone.

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Speaker 2: And so like when the comic comes out in the

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Speaker 2: first you know, it's always some schmo that's just like

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Speaker 2: I come all the time, and I'm like instantly, I'm like, oh,

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Speaker 2: this is gonna be bad, And then the person next

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Speaker 2: to me is like crying, laughing, They're having the greatest time.

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Speaker 2: They're like, I've always wanted to hear somebody say those

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Speaker 2: words out loud.

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Speaker 8: So I'm just imagining, what is the joke where the

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Speaker 8: punchline is I come all the time.

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Speaker 2: That's the premise.

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Speaker 8: Okay, then the Pyramids is I come all the time constantly,

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Speaker 8: can't stop interrupting my day.

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Speaker 6: I'm just yet. Okay, I'm setting up a world to here.

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Speaker 6: I'm setting up there.

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Speaker 2: Yeah, you're building it out. Yeah it was Jim Norton.

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Speaker 2: Uh No, It's just a funny thing when you do

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Speaker 2: see somebody that you're like, oh God, and then they're like, oh,

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Speaker 2: they get it, they get the environment they're supposed to

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Speaker 2: Never we'll never talk about it again.

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Speaker 6: Yes, my family.

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Speaker 1: Oh, it's like a it's sorry.

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Speaker 3: It's like the Uh, it's like the Woods in Shakespearean times.

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Speaker 1: It's there's no rules for them at that time.

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Speaker 3: They can just go in there and they can be

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Speaker 3: their wild self for one hour and twenty five minutes

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Speaker 3: with two drinks.

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Speaker 2: I love that. Great was going on in the Woods. Yeah, comparison,

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Speaker 2: we were all just like Woods and Shakespeare. It's an

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Speaker 2: educational podcast.

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Speaker 9: Educate, that's the main thing, do you know what I Well,

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Speaker 9: before you get into that, Curtibe, I wanted to give

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Speaker 9: Can a moment to tell us about the Edinburgh show

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Speaker 9: that she's gonna be doing, because we will have bananimals

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Speaker 9: in Scotland listening to this next week when you're there,

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Speaker 9: Oh my gosh.

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Speaker 8: That would be fantastic. So the show I am doing,

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Speaker 8: it's called Don't Kill Yourself. Yet I'm not being prescriptive.

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Speaker 8: I'm not saying never do it. I'm just saying like,

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Speaker 8: wait a second. And it's like I've I've had depression

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Speaker 8: my entire life, and it's like things that were helping

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Speaker 8: with that, and so I was like working on holding on,

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Speaker 8: like hey, don't be super depressed. But then I had

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Speaker 8: a stroke and my body tried to kill me. So

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Speaker 8: it's it's about the lifelong struggle to not destroy yourself,

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Speaker 8: but then your body tries to destroy you anyway.

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Speaker 2: So but it's a comedy that sounds like a great

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Speaker 2: friend show. That's like a friend show that's about something

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Speaker 2: besides a guy wearing a kilt with no underwear, which

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Speaker 2: there's always one poster in Edinburgh where you're like, yeah,

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Speaker 2: we don't need to see that guy's show.

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Speaker 3: Okay.

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Speaker 6: I was like, this is a thing that happens all

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Speaker 6: the time.

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Speaker 8: Interesting the internet afferent, It's like Europe seems more liberal

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Speaker 8: with that.

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Speaker 6: They just you can just be nude on stage and

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Speaker 6: it's okay, just.

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Speaker 3: For that'll be It'll always be one poster where he's

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Speaker 3: lifting up his kilt and then blurred out.

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Speaker 1: It's like, wah wah, this guy's a little legie.

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Speaker 8: I'm gonna find that and I'm like, we don't know

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Speaker 8: each other that well, Kirt, but I will find that poster,

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Speaker 8: take a picture next to it and send it to you,

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Speaker 8: because I'm genuinely interested in.

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Speaker 2: Finding Please do well, everybody, all the bananamal people listening

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Speaker 2: to this in Edinburgh, go find Kenisa show by tickets,

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Speaker 2: support local comics.

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Speaker 6: It's free.

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Speaker 2: Yeah, it's free.

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Speaker 6: It's part of the Free Fringe. It's totally free.

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Speaker 8: So bring your friends, bring your said, anyone you know

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Speaker 8: who's ever been said bring them.

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Speaker 2: You can go great love that.

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Speaker 1: Here it is. Do you want to hear about this study?

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Speaker 2: Yes?

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Speaker 3: Yes, new study of reels people's faces evolved to match

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Speaker 3: their names.

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Speaker 1: This was sent in by Jennifer Lynn. Thank you.

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Speaker 3: If you want to send stories to Bananas, just DM

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Speaker 3: them to us on the Bananas Podcast on Instagram or

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Speaker 3: email us The Bananas Podcast at gmail dot com. This

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Speaker 3: was in fizz dot orgs as in sincerel It's like

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Speaker 3: physics dot org. But okay, I also saw it in

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Speaker 3: other publications as well, So this was written by It

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Speaker 3: was just written by Reichman University, the whole university.

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Speaker 8: No, they're not taking individual responsibility for this. They're like, nobody,

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Speaker 8: don't tell me.

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Speaker 1: Not a good side time.

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Speaker 3: A new study has found that people tend to alter

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Speaker 3: their appearance to suit their names. The researchers sought to

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Speaker 3: determine whether parents chose a baby name based on what

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Speaker 3: seems fitting for the baby's appearance, or if individuals facial

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Speaker 3: appearances changed over the years to align with the social

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Speaker 3: stereotypes associated.

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Speaker 1: With their names. This is interesting.

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Speaker 3: This is definitely run by scientists who've never had a baby,

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Speaker 3: because all babies look exactly the same.

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Speaker 1: They just may be like little little little h Wallace.

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Speaker 2: Yeah.

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Speaker 3: The story The study was published in the journal Proceedings

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Speaker 3: of the National Academy of Sciences.

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Speaker 1: The research team was blah blah, blah blah blah.

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Speaker 3: In the study, nine to ten year old children and

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Speaker 3: adults were asked to match faces to names. The findings

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Speaker 3: were revealed that both the children and the adults correctly

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Speaker 3: matched adult face is to their corresponding names significantly above

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Speaker 3: the chance level. However, when it came to children's faces

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Speaker 3: and names, the participants were unable to make accurate associations.

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Speaker 3: In another part of the study, a machine learning system

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Speaker 3: was fed a large database of images of human faces.

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Speaker 3: The computer recognized that the appearances of the faces of

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00:12:21,480 --> 00:12:25,840
Speaker 3: adults with the same name were significantly more similar to

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00:12:25,920 --> 00:12:29,640
Speaker 3: each other than the representations of faces of adults with

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Speaker 3: different names.

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Speaker 1: This is crazy.

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Speaker 3: Conversely, no significant similarity was found among children with the

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Speaker 3: same name compared to children with different names. The researchers

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Speaker 3: concluded that similarity between the person's face and their name

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Speaker 3: results from a self fulfilling process. See the facial appearance

249
00:12:45,600 --> 00:12:48,760
Speaker 3: changes over a long period of time to align with

250
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Speaker 3: social stereotypes associated with the name. Such stereotypes can be

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Speaker 3: formed in many ways, for example, because the name is

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00:12:56,040 --> 00:12:59,319
Speaker 3: linked to a famous figure, or due to the connotations

253
00:12:59,320 --> 00:13:03,440
Speaker 3: of a biblical name. This is crazy social structuring quote

254
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Speaker 3: is so strong that it can affect a person's appearance.

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Speaker 3: These findings may imply the extent to which other personal

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00:13:09,920 --> 00:13:13,360
Speaker 3: factors that are even more significant than names, such as gender, ethnicity,

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Speaker 3: may shape who people grow up to.

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Speaker 2: I wish my name was Lebron Landis. I wish I

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00:13:20,600 --> 00:13:23,800
Speaker 2: was looking more like Lebron James every day physically.

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Speaker 6: I'm sorry this.

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Speaker 8: I'm sorry to these scientists, and I recognize getting grants

262
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Speaker 8: is hard, but this is bullshit.

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Speaker 6: This is utter bullshit that these people are getting money

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Speaker 6: to study this stuff.

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Speaker 8: Like all babies look alike, most ten year olds look

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Speaker 8: kind of alike, and people choose names based on a

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Speaker 8: lot of societal factors already, So like, nobody who doesn't

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Speaker 8: look like a Shannon.

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Speaker 6: Is gonna name their baby fucking Shannon.

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Speaker 1: It's just happen.

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Speaker 2: I like that too.

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Speaker 3: It's also, yeah, that's crazy that they just discounted the

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Speaker 3: entire society that the parents grew up in and the

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Speaker 3: and the culture that they're in, and instead it was like, no,

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Speaker 3: you change your face over time, Like what do you

276
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Speaker 3: do it? Like just blowing real heart into your eyeballs

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Speaker 3: to make them pop out?

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Speaker 4: You know?

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00:14:14,320 --> 00:14:19,120
Speaker 2: Like, what are they do? George? Uh, there's a George?

280
00:14:19,120 --> 00:14:21,480
Speaker 2: Just are those George eyeballs? I've been looking at. But

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Speaker 2: I do wonder when you were saying this, I have

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Speaker 2: I can see it if there are those names that

283
00:14:27,280 --> 00:14:29,800
Speaker 2: can go a lot of different ways. You know, there's Timothy,

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00:14:29,840 --> 00:14:32,600
Speaker 2: that can be Timothy or tim or Timmy. You know,

285
00:14:32,640 --> 00:14:35,480
Speaker 2: there are those names that can become so Elizabeth can

286
00:14:35,520 --> 00:14:38,080
Speaker 2: be Liz or Lizzie or Beth or And I'm like,

287
00:14:38,640 --> 00:14:42,760
Speaker 2: is it that? Is it more that people assume the

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00:14:42,840 --> 00:14:46,800
Speaker 2: variation of their name that they think best represents their

289
00:14:47,080 --> 00:14:51,640
Speaker 2: face and personality, Because when you meet somebody named Elizabeth

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Speaker 2: and they get mad at you if you call them

291
00:14:54,320 --> 00:14:57,160
Speaker 2: Liz or Beth or Eliza or anything else there are

292
00:14:57,360 --> 00:14:59,760
Speaker 2: that's always a type. There is a type of person

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00:14:59,800 --> 00:15:02,320
Speaker 2: that won't let you. You meet a Samantha and then

294
00:15:02,320 --> 00:15:03,760
Speaker 2: one time you go, hey, sam, can you hear me

295
00:15:03,760 --> 00:15:07,040
Speaker 2: that beer? And she goes, it's Samantha. That's a type.

296
00:15:07,600 --> 00:15:11,480
Speaker 2: And I can't tell that type based on photo alone

297
00:15:13,800 --> 00:15:15,760
Speaker 2: because they're pain in the ass, is what I'm saying.

298
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Speaker 2: And I wonder if that goes into it. I wonder

299
00:15:19,040 --> 00:15:22,960
Speaker 2: if that plays into it that people adjust their Daniels

300
00:15:22,960 --> 00:15:24,880
Speaker 2: become Danny's or Dan's. I don't know.

301
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Speaker 1: Yeah, yeah, yeah.

302
00:15:26,640 --> 00:15:30,240
Speaker 3: I also know that this study is bullshit, Canise, because

303
00:15:30,280 --> 00:15:33,280
Speaker 3: so many people come up to us after shows and

304
00:15:33,560 --> 00:15:37,360
Speaker 3: think that Scotty's name is Kurt brown Oler and my

305
00:15:37,520 --> 00:15:40,120
Speaker 3: name is Scotty landis all the time, all the.

306
00:15:40,080 --> 00:15:41,320
Speaker 6: Time, you as a Scotty.

307
00:15:42,040 --> 00:15:43,400
Speaker 1: You can see me Scotty.

308
00:15:43,840 --> 00:15:44,960
Speaker 6: I can see you as a Scotty.

309
00:15:44,960 --> 00:15:47,400
Speaker 8: It's harder for me to see you Scotty as a Kurt,

310
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Speaker 8: but I definitely I see this well.

311
00:15:50,760 --> 00:15:53,520
Speaker 2: I have seen people call me Scotty. My birth name

312
00:15:53,560 --> 00:15:55,960
Speaker 2: is Scott because when I look in the mirror, I

313
00:15:56,000 --> 00:15:58,240
Speaker 2: see a Scott. So I just put Scotty in there,

314
00:15:58,360 --> 00:16:02,120
Speaker 2: just just to throw a curve. Scott's well. I think

315
00:16:02,200 --> 00:16:03,800
Speaker 2: if you saw me on the street and goes that

316
00:16:03,840 --> 00:16:09,360
Speaker 2: guy's name Scott, you would go, yeah, yes, they go

317
00:16:09,400 --> 00:16:11,560
Speaker 2: it's either Chris, Adam or Scott. I think when you

318
00:16:11,600 --> 00:16:16,680
Speaker 2: look at me, you see Chris and Adam or Scott.

319
00:16:18,120 --> 00:16:19,240
Speaker 2: I'll take a Paul all day.

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Speaker 3: Speaking of all of this, Canise, when was the first time, like,

321
00:16:22,520 --> 00:16:24,880
Speaker 3: how old were you when you looked in a mirror?

322
00:16:25,560 --> 00:16:28,480
Speaker 3: I'm assuming this is a universal human experience looked in

323
00:16:28,520 --> 00:16:32,000
Speaker 3: a mirror and were like the thing that is having

324
00:16:32,040 --> 00:16:35,880
Speaker 3: these thoughts is not the thing I'm looking at, Like

325
00:16:36,040 --> 00:16:39,200
Speaker 3: there is a different there's two different things going on here.

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00:16:39,200 --> 00:16:41,120
Speaker 3: There's a thing that's thinking and then there's that thing

327
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Speaker 3: that I'm looking at in the mirror anybody I.

328
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Speaker 6: Haven't had that.

329
00:16:47,800 --> 00:16:51,880
Speaker 8: I like that thought, I do, but mine is complicated

330
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Speaker 8: by the fact that I have an identical twin sister.

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Speaker 6: Oh, it's very much. So like I look at it looks.

332
00:16:58,000 --> 00:17:00,840
Speaker 2: Like a canis to me, she looks like a real canise.

333
00:17:02,520 --> 00:17:08,320
Speaker 2: What's her name? I mean? I love this? And are

334
00:17:08,359 --> 00:17:10,919
Speaker 2: you still? Have you aged and stayed identical? I know

335
00:17:10,960 --> 00:17:13,200
Speaker 2: sometimes identical twins? Oh this is good.

336
00:17:13,640 --> 00:17:14,240
Speaker 6: We both like.

337
00:17:15,240 --> 00:17:19,439
Speaker 8: I went to her son's birthday party and everyone came

338
00:17:19,520 --> 00:17:20,800
Speaker 8: up to me being like, oh.

339
00:17:20,640 --> 00:17:22,359
Speaker 6: I heard her sister was going to be here, and

340
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Speaker 6: I was like, you just met her, because that's great.

341
00:17:26,080 --> 00:17:26,920
Speaker 6: I'm meeting her friend.

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Speaker 1: It's that much. It's that much.

343
00:17:29,600 --> 00:17:32,879
Speaker 8: But she also wears glasses, has locks there are about

344
00:17:32,920 --> 00:17:35,320
Speaker 8: shoulder length like, so we've also, I guess, made some

345
00:17:35,440 --> 00:17:38,560
Speaker 8: choices that continue to make us look alike.

346
00:17:38,640 --> 00:17:42,320
Speaker 2: So yeah, but do you feel more like a canise

347
00:17:42,760 --> 00:17:47,080
Speaker 2: than a trees? Like? Do you feel like you're more see?

348
00:17:47,119 --> 00:17:48,520
Speaker 2: There is something to.

349
00:17:48,720 --> 00:17:51,360
Speaker 6: This, but it's personality based, not.

350
00:17:53,280 --> 00:17:54,960
Speaker 1: Right, it's personality based.

351
00:17:54,960 --> 00:17:58,200
Speaker 3: I would think that that I'm definitively I think I'm

352
00:17:58,200 --> 00:18:01,120
Speaker 3: definitively personality more Curt a Scottie.

353
00:18:01,000 --> 00:18:06,000
Speaker 2: Okay, But I do this often. I when I look

354
00:18:06,080 --> 00:18:06,360
Speaker 2: like a.

355
00:18:06,680 --> 00:18:10,000
Speaker 1: Guy, like I'm the name of like a cool guy,

356
00:18:10,880 --> 00:18:11,480
Speaker 1: a guy.

357
00:18:11,760 --> 00:18:13,920
Speaker 6: But Kurt, you also look like a cool guy.

358
00:18:14,280 --> 00:18:17,080
Speaker 3: I agree, Kurt's the name of I think more of

359
00:18:17,119 --> 00:18:19,240
Speaker 3: a nerd person, you know what I mean.

360
00:18:19,440 --> 00:18:21,080
Speaker 1: I'm on the on a fringe.

361
00:18:21,280 --> 00:18:23,400
Speaker 3: I feel like just because it's not as common a name,

362
00:18:23,440 --> 00:18:26,000
Speaker 3: it's rare, right, it's rare, and it's yeah it has

363
00:18:26,080 --> 00:18:27,159
Speaker 3: okay anyway.

364
00:18:26,920 --> 00:18:31,040
Speaker 2: It's anyways. So I'm a screenwriter, canise, and I write

365
00:18:31,080 --> 00:18:33,240
Speaker 2: like the scripts and when I do, you know, a

366
00:18:33,240 --> 00:18:34,520
Speaker 2: lot of what you have to do is think of

367
00:18:34,640 --> 00:18:36,959
Speaker 2: names like people think. And if you if you put

368
00:18:37,040 --> 00:18:38,919
Speaker 2: a script out every time, you can always tell when

369
00:18:38,960 --> 00:18:42,240
Speaker 2: somebody's a new writer because they use certain names for characters.

370
00:18:43,040 --> 00:18:47,120
Speaker 2: And that's not just the case. Like when I say

371
00:18:47,200 --> 00:18:52,800
Speaker 2: to you both, if I say seventy year old white

372
00:18:53,720 --> 00:18:57,480
Speaker 2: retired man, what name comes to mind?

373
00:18:57,840 --> 00:19:00,800
Speaker 1: Richard great Mayburn?

374
00:19:01,680 --> 00:19:05,280
Speaker 2: I mean you'd say both valuable. But and I do

375
00:19:05,359 --> 00:19:07,000
Speaker 2: this a lot. I do this with Strawberry, and I

376
00:19:07,040 --> 00:19:09,280
Speaker 2: do this like with with anybody, especially when I'm working

377
00:19:09,280 --> 00:19:11,600
Speaker 2: with young writers. But I'll be like, hey, I need like,

378
00:19:11,960 --> 00:19:14,479
Speaker 2: what's a sexy name for like an eighteen year old

379
00:19:14,520 --> 00:19:18,239
Speaker 2: that's trying to seduce somebody older. And I'll ask that

380
00:19:18,280 --> 00:19:21,840
Speaker 2: to like my women friends, and they'll be like instantly,

381
00:19:21,880 --> 00:19:24,000
Speaker 2: they'll have something that I never would have thought of,

382
00:19:24,160 --> 00:19:26,960
Speaker 2: and I usually use their names.

383
00:19:27,080 --> 00:19:29,880
Speaker 3: So you'll go against you'll go against type you mean,

384
00:19:29,960 --> 00:19:32,720
Speaker 3: so then you'll name the old man like the sexy

385
00:19:32,800 --> 00:19:33,560
Speaker 3: kitten who's trying.

386
00:19:33,640 --> 00:19:37,119
Speaker 2: Sometimes okay, yeah, sometimes I do do that, and because

387
00:19:37,160 --> 00:19:39,679
Speaker 2: you want to, Like in Ma, I made the mom's

388
00:19:39,720 --> 00:19:41,800
Speaker 2: name Erica because when I grew up, I knew a

389
00:19:41,840 --> 00:19:43,600
Speaker 2: bunch of girls named Erica. And then I was sitting

390
00:19:43,640 --> 00:19:45,920
Speaker 2: and trying to think of a name that is common

391
00:19:46,119 --> 00:19:49,080
Speaker 2: that you never see in any media, and so I

392
00:19:49,119 --> 00:19:50,879
Speaker 2: just named her Erica. And then people were like, was

393
00:19:50,880 --> 00:19:52,760
Speaker 2: that after your friend Erica? And I'm like, no, I

394
00:19:52,840 --> 00:19:55,000
Speaker 2: made friends with her after the fact. I just try

395
00:19:55,000 --> 00:19:58,399
Speaker 2: to pick names that fit the character description. But we

396
00:19:58,440 --> 00:20:01,480
Speaker 2: can all do it based on the character description, which

397
00:20:01,800 --> 00:20:04,560
Speaker 2: Richard is a great example. A seventy year old man

398
00:20:04,600 --> 00:20:06,679
Speaker 2: that just retired and you're like, come in here, Richard.

399
00:20:06,720 --> 00:20:11,000
Speaker 2: You'd be like, yep, that matches. It's fascinating. But if

400
00:20:11,000 --> 00:20:12,480
Speaker 2: I got this seventy year old.

401
00:20:14,160 --> 00:20:16,919
Speaker 3: A seven year old bad named Kitty is interesting. I

402
00:20:16,960 --> 00:20:17,480
Speaker 3: want to see.

403
00:20:17,600 --> 00:20:19,240
Speaker 1: I want to know more about that guy.

404
00:20:19,880 --> 00:20:21,639
Speaker 6: Do you guys know anyone named Kitty?

405
00:20:21,800 --> 00:20:23,800
Speaker 8: Like this is the thing I've seen in fictional things,

406
00:20:23,800 --> 00:20:25,359
Speaker 8: but I don't know anyone named Kitty.

407
00:20:25,600 --> 00:20:27,520
Speaker 1: No, no, okay, I bet you.

408
00:20:28,000 --> 00:20:31,040
Speaker 3: I feel like I feel like my mom knew a

409
00:20:31,160 --> 00:20:34,480
Speaker 3: nurse named Kitty. Though I feel like that definitely she

410
00:20:34,600 --> 00:20:37,280
Speaker 3: was a nurse. I feel like that's but that's maybe

411
00:20:37,280 --> 00:20:38,800
Speaker 3: me making that up.

412
00:20:41,520 --> 00:20:46,080
Speaker 2: I mean maybe I remember watching I think during Lockdown

413
00:20:46,160 --> 00:20:49,399
Speaker 2: and the Weird Great Choir, I was like so bored.

414
00:20:49,400 --> 00:20:50,480
Speaker 2: I was like, well, I'm just going to go back

415
00:20:50,480 --> 00:20:52,240
Speaker 2: and watch all those movies that I've heard about my

416
00:20:52,280 --> 00:20:55,480
Speaker 2: whole life that I've never seen, like Casa Blanca, like

417
00:20:56,240 --> 00:20:59,160
Speaker 2: Rebel without a Cause, And so I watched that one,

418
00:20:59,200 --> 00:21:01,840
Speaker 2: and I'm ninety nine percent sure it's that one that

419
00:21:01,880 --> 00:21:04,719
Speaker 2: the dad's nickname for his daughter and Rebel without a

420
00:21:04,760 --> 00:21:09,119
Speaker 2: Cause is Pussy, and he says it so much. I

421
00:21:09,119 --> 00:21:13,000
Speaker 2: think her character's Junie or something, but he's like, oh,

422
00:21:13,040 --> 00:21:16,159
Speaker 2: come on, Pussy, and I'm like, this is crazy. That

423
00:21:16,520 --> 00:21:19,919
Speaker 2: Seventy years later, I was sitting alone in my cabin,

424
00:21:20,560 --> 00:21:22,960
Speaker 2: like like my skin was crawling off the back of

425
00:21:23,000 --> 00:21:24,760
Speaker 2: my head, and my back of my head is crawling

426
00:21:24,840 --> 00:21:30,199
Speaker 2: up the wall, and he like, can you imagine I

427
00:21:30,320 --> 00:21:33,919
Speaker 2: wrote that into a movie? Now, it'd be like, arrest

428
00:21:34,000 --> 00:21:35,200
Speaker 2: that man, Arrest Richard.

429
00:21:35,280 --> 00:21:41,040
Speaker 1: Yes, Okait, sorry? Can can I ask you?

430
00:21:41,080 --> 00:21:41,199
Speaker 2: So?

431
00:21:41,280 --> 00:21:44,080
Speaker 3: You said we kind of skimmed over the fact that

432
00:21:44,119 --> 00:21:48,720
Speaker 3: you had a stroke? Yeah, Oh my god? What what happened?

433
00:21:48,720 --> 00:21:50,600
Speaker 3: How did it is it? I don't want you to

434
00:21:50,640 --> 00:21:53,119
Speaker 3: give any if there's especially a twist, it's not a twist.

435
00:21:53,480 --> 00:21:57,879
Speaker 2: It's just the thing that happened pretty sure forward.

436
00:21:58,760 --> 00:22:02,880
Speaker 8: So I was in Utah for this Creative Change Retreat,

437
00:22:02,880 --> 00:22:05,240
Speaker 8: which is really great because it's like they get all

438
00:22:05,280 --> 00:22:08,680
Speaker 8: of these people together, people who work in nonprofit, people

439
00:22:08,680 --> 00:22:12,240
Speaker 8: who work in governmental agencies, people who work in education,

440
00:22:12,680 --> 00:22:15,479
Speaker 8: and then they put some entertainers in there, and your

441
00:22:15,520 --> 00:22:18,119
Speaker 8: whole job while you're there is to brainstorm ways to

442
00:22:18,160 --> 00:22:18,840
Speaker 8: make the world.

443
00:22:18,680 --> 00:22:20,919
Speaker 6: A better place, which is really really cool.

444
00:22:21,320 --> 00:22:24,879
Speaker 8: And it was at the Sundance Resort, which is different

445
00:22:24,880 --> 00:22:27,240
Speaker 8: than the Sundance Institute. And I had to always clarify

446
00:22:27,240 --> 00:22:29,239
Speaker 8: that because they're like, you went to Sundance and I'm like, no, no, no,

447
00:22:29,640 --> 00:22:30,200
Speaker 8: the resort.

448
00:22:30,280 --> 00:22:31,840
Speaker 6: It's not like it's whatever.

449
00:22:33,400 --> 00:22:37,960
Speaker 8: And they had this ceremony and a lot of people

450
00:22:38,000 --> 00:22:40,959
Speaker 8: were crying, and I am an emotionally stilted person, so

451
00:22:41,000 --> 00:22:41,680
Speaker 8: I wasn't.

452
00:22:42,119 --> 00:22:46,560
Speaker 6: And they released these rehabilitated birds and a white woman with.

453
00:22:48,440 --> 00:22:50,600
Speaker 8: People cry over that, and I'm like, that's nice, but

454
00:22:50,640 --> 00:22:52,639
Speaker 8: I don't even like birds. In fact, I think birds

455
00:22:52,680 --> 00:22:54,960
Speaker 8: is an animal. I can do without them entirely. Yeah,

456
00:22:55,600 --> 00:22:59,520
Speaker 8: and white woman with dreads, which is something that I

457
00:22:59,600 --> 00:23:04,840
Speaker 8: judge very harshly. Uh, did slam poetry, which is also

458
00:23:04,880 --> 00:23:06,280
Speaker 8: something that I judged very hoarsely.

459
00:23:06,760 --> 00:23:08,960
Speaker 2: Yeah.

460
00:23:09,280 --> 00:23:12,439
Speaker 6: I was like, bro, don't stop.

461
00:23:13,320 --> 00:23:18,199
Speaker 8: But I was walking back because we all stayed in cabins,

462
00:23:18,200 --> 00:23:19,600
Speaker 8: and I was walking back to my cabin and I

463
00:23:19,640 --> 00:23:21,280
Speaker 8: was making fun of it on the phone with my

464
00:23:21,400 --> 00:23:23,879
Speaker 8: mom and she's like, Canise, you're not making any sense.

465
00:23:24,440 --> 00:23:28,840
Speaker 8: And then I fell out and that's I guess when

466
00:23:28,840 --> 00:23:31,159
Speaker 8: I had my stroke, because like someone found me on

467
00:23:31,200 --> 00:23:34,560
Speaker 8: the ground and my mom's still on the phone streaming hello, Hello, Hello.

468
00:23:35,080 --> 00:23:39,240
Speaker 2: And that's how much you hate white dreadlocks.

469
00:23:39,280 --> 00:23:39,600
Speaker 4: I get.

470
00:23:39,680 --> 00:23:42,480
Speaker 6: That's my brain was like, no more, you can't exist

471
00:23:42,640 --> 00:23:43,280
Speaker 6: for a moment.

472
00:23:43,359 --> 00:23:45,160
Speaker 2: You're done poetry.

473
00:23:45,400 --> 00:23:48,680
Speaker 3: If I see one more person and white, another white

474
00:23:48,680 --> 00:23:50,760
Speaker 3: person with drug locks, I'm bad about fucking stroke.

475
00:23:51,000 --> 00:23:53,280
Speaker 8: I probably said that at some point in my past,

476
00:23:53,359 --> 00:23:55,919
Speaker 8: didn't remember it, and then stroke.

477
00:23:56,000 --> 00:23:56,840
Speaker 6: It can happen to anyone.

478
00:23:57,720 --> 00:23:58,240
Speaker 1: Oh my gosh.

479
00:23:58,280 --> 00:24:00,680
Speaker 3: Well, I'm so happy that you're fully recovered. How long

480
00:24:00,800 --> 00:24:02,280
Speaker 3: was the recovery process?

481
00:24:02,640 --> 00:24:05,679
Speaker 6: It was like a couple months. I'm really lucky.

482
00:24:06,200 --> 00:24:09,119
Speaker 8: So the major thing is like it's hard for me

483
00:24:09,200 --> 00:24:11,360
Speaker 8: to read aloud, which.

484
00:24:11,200 --> 00:24:12,560
Speaker 6: Is like a very specific thing.

485
00:24:12,720 --> 00:24:17,040
Speaker 8: But because that's been part of my jobs, I've noticed that,

486
00:24:17,160 --> 00:24:19,280
Speaker 8: Oh it's slower and it takes me a second to

487
00:24:19,359 --> 00:24:22,560
Speaker 8: like assess what they're saying, the tone that I'm supposed

488
00:24:22,600 --> 00:24:24,359
Speaker 8: to say this in, and then repeat it out loud.

489
00:24:25,040 --> 00:24:29,040
Speaker 6: So that's like an annoying, weird brain thing. But also my.

490
00:24:29,160 --> 00:24:31,879
Speaker 8: Skin doesn't have feeling, but only on the right side,

491
00:24:32,160 --> 00:24:35,400
Speaker 8: so wow, Like the muscles have feelings, So if someone

492
00:24:35,480 --> 00:24:37,800
Speaker 8: were like brabb me, I would feel that. But if

493
00:24:37,800 --> 00:24:39,640
Speaker 8: like an ant, we're crawling on my skin, I would

494
00:24:39,680 --> 00:24:40,239
Speaker 8: not feel that.

495
00:24:40,920 --> 00:24:41,600
Speaker 2: Wow.

496
00:24:41,800 --> 00:24:44,960
Speaker 3: Oh wow, Okay, And that might change or it might

497
00:24:45,040 --> 00:24:46,680
Speaker 3: just be like that for the rest of your life.

498
00:24:46,800 --> 00:24:48,359
Speaker 6: It may just be like that for the rest of

499
00:24:48,400 --> 00:24:48,760
Speaker 6: my life.

500
00:24:48,800 --> 00:24:51,000
Speaker 8: Like my doctors said that they hoped that it would

501
00:24:51,000 --> 00:24:52,359
Speaker 8: get better, but they were like, if it was going

502
00:24:52,400 --> 00:24:54,359
Speaker 8: to get better, it would have happened within like the

503
00:24:54,400 --> 00:24:57,320
Speaker 8: first few weeks. And now that it's this week, been

504
00:24:57,359 --> 00:24:59,960
Speaker 8: two years, they're like, you just got to think about it.

505
00:25:00,119 --> 00:25:01,720
Speaker 8: That that's just not coming back.

506
00:25:02,880 --> 00:25:06,760
Speaker 2: Well, not great, but I gotta say not the worst

507
00:25:06,800 --> 00:25:09,320
Speaker 2: I've ever heard all, No, not at all.

508
00:25:09,480 --> 00:25:13,640
Speaker 8: I went to for young stroke survivors and I felt

509
00:25:13,680 --> 00:25:16,840
Speaker 8: like a real asshole because.

510
00:25:16,480 --> 00:25:20,680
Speaker 2: You're like tickle contest anyone right side.

511
00:25:20,400 --> 00:25:24,800
Speaker 8: Only like these people they oh, their situations were bad.

512
00:25:24,800 --> 00:25:26,359
Speaker 8: Like a lady could not like she was in this

513
00:25:26,560 --> 00:25:29,639
Speaker 8: support group, but like they had her go last because

514
00:25:29,720 --> 00:25:32,800
Speaker 8: it took her so long to form even a sentence,

515
00:25:33,520 --> 00:25:36,119
Speaker 8: and like it was just so hard for her. And

516
00:25:36,160 --> 00:25:38,400
Speaker 8: I was like that would I would not be able

517
00:25:38,400 --> 00:25:39,960
Speaker 8: to do comedy if that were the case.

518
00:25:40,000 --> 00:25:43,000
Speaker 6: Ohmen, So I feel really lucky, good.

519
00:25:42,840 --> 00:25:46,400
Speaker 2: Well good, we help you. We're wonderful recovery forever. Yeah,

520
00:25:46,440 --> 00:25:51,960
Speaker 2: thank you. I can do a health Let's talk about

521
00:25:51,960 --> 00:25:54,920
Speaker 2: another person with a health ailment that not so good.

522
00:25:55,240 --> 00:25:59,000
Speaker 2: This was sentenced by bananmal Jess Santana Franklin. If you

523
00:25:59,080 --> 00:26:01,240
Speaker 2: have a story in you to Bananas. You can send

524
00:26:01,880 --> 00:26:04,119
Speaker 2: us any strange news story from around the world that

525
00:26:04,280 --> 00:26:07,280
Speaker 2: is real to the Bananas Podcast at gmail dot com

526
00:26:07,400 --> 00:26:10,840
Speaker 2: or the Bananas Podcast on Instagram and we will shout

527
00:26:11,080 --> 00:26:14,600
Speaker 2: you out. So thank you, Jess. This was in the

528
00:26:14,680 --> 00:26:17,760
Speaker 2: worst website I've ever used. The media mist in the

529
00:26:17,800 --> 00:26:23,240
Speaker 2: biz website the decanherld dot com. It is real. I

530
00:26:23,320 --> 00:26:25,359
Speaker 2: looked this up. Kurt, you saw this stor I'm shore

531
00:26:25,560 --> 00:26:28,520
Speaker 2: on Canisi. You might have seen this story too. Man

532
00:26:28,560 --> 00:26:31,879
Speaker 2: coughed and sneezed during breakfast at a US diner and

533
00:26:31,920 --> 00:26:36,920
Speaker 2: then his colon fell out. Yeah, so it was everywhere.

534
00:26:37,320 --> 00:26:40,240
Speaker 2: This was written by that that media missed in the

535
00:26:40,280 --> 00:26:44,240
Speaker 2: biz DH staff. I mean, this website is a nightmare.

536
00:26:46,280 --> 00:26:49,840
Speaker 2: When you copy and paste on this website, it only

537
00:26:49,840 --> 00:26:52,679
Speaker 2: allows you to have half a sentence at a time,

538
00:26:52,920 --> 00:26:56,840
Speaker 2: and then it puts the link to decanherld dot com instead.

539
00:26:56,960 --> 00:27:01,800
Speaker 2: So I was free copy and paste before I scrolled

540
00:27:01,800 --> 00:27:04,200
Speaker 2: how long the story was. It took me ten minutes

541
00:27:04,240 --> 00:27:07,480
Speaker 2: to copy and paste this nice. I felt like my

542
00:27:07,600 --> 00:27:10,239
Speaker 2: colon fell out by the end of this thing. A

543
00:27:10,280 --> 00:27:12,679
Speaker 2: sixty three year old man sneezed and coughed at the

544
00:27:12,680 --> 00:27:15,240
Speaker 2: same time while eating breakfast at a US diner, only

545
00:27:15,280 --> 00:27:17,679
Speaker 2: to find his colon had fallen out of his body.

546
00:27:18,480 --> 00:27:20,600
Speaker 2: The man, who was with his wife at the time

547
00:27:20,680 --> 00:27:25,120
Speaker 2: was out of Florida restaurant, felt a wet sensation which

548
00:27:25,240 --> 00:27:28,640
Speaker 2: came with a sharp pain. The man had recently undergone

549
00:27:28,680 --> 00:27:32,000
Speaker 2: a dominal surgery, with the doctors assuring him the incision

550
00:27:32,040 --> 00:27:34,479
Speaker 2: had healed, but when he lifted up his shirt, he

551
00:27:34,520 --> 00:27:37,400
Speaker 2: saw several inches of his colon had come out of

552
00:27:37,440 --> 00:27:41,720
Speaker 2: the wound. My god. An ambulance was summoned and paramedics

553
00:27:41,800 --> 00:27:44,000
Speaker 2: when they arrived found a three inch opening with the

554
00:27:44,160 --> 00:27:48,080
Speaker 2: large amounts of the bow visible through it. Luckily, the

555
00:27:48,080 --> 00:27:50,439
Speaker 2: blood loss was minimal and there was no damage to

556
00:27:50,520 --> 00:27:55,199
Speaker 2: the exposed organ organ excuse me not orgon. Once he

557
00:27:55,359 --> 00:27:57,320
Speaker 2: was taken to the hospital surgeon to put it back

558
00:27:57,359 --> 00:27:59,640
Speaker 2: in to his abdomen, the man remained in the hospital

559
00:27:59,640 --> 00:28:02,320
Speaker 2: for six days, from which he was discharged, and he

560
00:28:02,359 --> 00:28:08,040
Speaker 2: reportedly recovered without any complications. The reopening of a surgical

561
00:28:08,040 --> 00:28:11,080
Speaker 2: wound is reportedly a rare occurrence and happens to only

562
00:28:11,119 --> 00:28:15,000
Speaker 2: three out of one hundred people. That seems pretty common,

563
00:28:15,000 --> 00:28:15,679
Speaker 2: I would say more.

564
00:28:15,840 --> 00:28:17,399
Speaker 6: Yeah, like that's higher than I would have thought.

565
00:28:17,640 --> 00:28:21,560
Speaker 2: Yeah, more than I hoped for. So he had an

566
00:28:21,680 --> 00:28:25,280
Speaker 2: ordeal where he had battled prostate cancer and had a surgery.

567
00:28:26,080 --> 00:28:30,200
Speaker 2: The issues were fixed, but the and the doctors removed

568
00:28:30,240 --> 00:28:33,040
Speaker 2: the stitches on the morning his bows fell out. So

569
00:28:33,080 --> 00:28:35,399
Speaker 2: it was that day they had gone to a diner

570
00:28:35,440 --> 00:28:40,360
Speaker 2: to celebrate his clean bill of health at breakfast, and

571
00:28:40,520 --> 00:28:43,560
Speaker 2: the surgeons, to ensure the wound did not open, later

572
00:28:43,680 --> 00:28:48,040
Speaker 2: performed a figure figure eight stitches. Figure of eight stitches,

573
00:28:48,280 --> 00:28:52,240
Speaker 2: which is among the most advanced and strongest closures in medicine.

574
00:28:52,560 --> 00:28:54,480
Speaker 2: There's a fact for you.

575
00:28:54,480 --> 00:28:56,880
Speaker 1: You know what, I'm going to insist on that closure.

576
00:28:57,480 --> 00:29:04,280
Speaker 3: If I ever half my abdomdal, my goodness, do a

577
00:29:04,320 --> 00:29:05,120
Speaker 3: figure eight on that.

578
00:29:05,320 --> 00:29:05,480
Speaker 4: Ya.

579
00:29:07,440 --> 00:29:10,000
Speaker 8: I'm happy that you described this because when you said

580
00:29:10,040 --> 00:29:12,840
Speaker 8: that somebody's plan fell out, I genuinely thought it was

581
00:29:12,880 --> 00:29:13,840
Speaker 8: through their asshole, and.

582
00:29:13,800 --> 00:29:16,400
Speaker 6: I was like, how did it just fall out? Like

583
00:29:16,960 --> 00:29:19,239
Speaker 6: how much of it fell out? Did he poop at

584
00:29:19,280 --> 00:29:23,000
Speaker 6: the same time? But that this different opening answers all

585
00:29:23,000 --> 00:29:23,880
Speaker 6: my questions. Thank you.

586
00:29:24,000 --> 00:29:26,840
Speaker 2: Yeah, a little less traumatic, a little easier to hide.

587
00:29:27,760 --> 00:29:30,600
Speaker 2: I wish that the worst website in the biz dec

588
00:29:30,680 --> 00:29:34,360
Speaker 2: and Harold had told us had they started eating. Did

589
00:29:34,400 --> 00:29:37,080
Speaker 2: they take the food to go? I want details, people.

590
00:29:37,120 --> 00:29:42,000
Speaker 3: I also like the fact that that that publication's name

591
00:29:42,120 --> 00:29:48,440
Speaker 3: doubles as a seemingly fun buddy comedy and Harold Harold

592
00:29:48,560 --> 00:29:50,200
Speaker 3: going out doing stuff together.

593
00:29:50,320 --> 00:29:51,720
Speaker 1: I'm deck this is Harold.

594
00:29:51,840 --> 00:29:53,920
Speaker 2: Your laugh, your butthole will fall out.

595
00:29:54,840 --> 00:29:58,640
Speaker 1: Harold is Decan. The it's Decan d e k e n.

596
00:29:59,680 --> 00:30:04,840
Speaker 2: D Ecca nherld dot com mediumist in the friggin'biz.

597
00:30:05,600 --> 00:30:06,360
Speaker 6: What is Deccan?

598
00:30:06,960 --> 00:30:07,840
Speaker 2: Yeah? Where is Decon?

599
00:30:07,960 --> 00:30:08,560
Speaker 1: Is it a place?

600
00:30:09,000 --> 00:30:09,680
Speaker 3: Yeah?

601
00:30:09,720 --> 00:30:18,560
Speaker 2: I don't know. I mean Deccan Harold is in England, India,

602
00:30:18,800 --> 00:30:23,400
Speaker 2: English language daily newspaper from the Indian state of Karnataka.

603
00:30:23,640 --> 00:30:27,680
Speaker 2: It was founded by K. N. Guruswami, a liquor businessman

604
00:30:27,800 --> 00:30:32,040
Speaker 2: from Bellari, and was launched June seventeenth, nineteen forty eight.

605
00:30:32,720 --> 00:30:35,600
Speaker 1: Nineteen forty eight. Decan Harold's been around.

606
00:30:36,120 --> 00:30:40,880
Speaker 2: Yeah, they're around. They're just their website is not for me.

607
00:30:41,720 --> 00:30:43,760
Speaker 1: It's meant to be enjoyed in print.

608
00:30:43,960 --> 00:30:47,640
Speaker 2: Yes, that's right, or on WhatsApp It's meant to be

609
00:30:47,720 --> 00:30:49,960
Speaker 2: sent a little bit at a time on whatsappen. Yeah,

610
00:30:50,000 --> 00:30:52,280
Speaker 2: that's got to be a bummer. Else I want to

611
00:30:52,320 --> 00:30:54,520
Speaker 2: know what diner it was. Maybe I had a funny name.

612
00:30:55,720 --> 00:30:57,680
Speaker 2: Mm hmmm, we'll never ever.

613
00:30:58,080 --> 00:31:01,440
Speaker 8: That's a claim to fame, I guess, like so good

614
00:31:01,480 --> 00:31:03,120
Speaker 8: it'll make your colon fallouts.

615
00:31:03,440 --> 00:31:08,480
Speaker 2: Yeah, blow your ass out that old over EASi.

616
00:31:11,240 --> 00:31:15,000
Speaker 3: Shall I tease U into a little thumbsup scatty?

617
00:31:15,240 --> 00:31:16,680
Speaker 2: I would love it here it.

618
00:31:16,680 --> 00:31:20,760
Speaker 3: Is German zoo freeze tiny links that kept trying to escape.

619
00:31:20,880 --> 00:31:24,040
Speaker 1: It's a feel good story. It's a feel good story, guys.

620
00:31:24,160 --> 00:31:27,200
Speaker 3: Oh, before we do that, I did have a fact

621
00:31:27,320 --> 00:31:29,480
Speaker 3: that I wanted to share with everybody that I just saw.

622
00:31:31,120 --> 00:31:31,720
Speaker 1: This is great.

623
00:31:31,920 --> 00:31:36,880
Speaker 3: Where dude came from. The word dude is very funny.

624
00:31:36,880 --> 00:31:41,000
Speaker 3: It's from the eighteen eighties. It's a British phrase meant

625
00:31:41,040 --> 00:31:46,240
Speaker 3: to make fun of Americans who were like getting money

626
00:31:46,320 --> 00:31:49,239
Speaker 3: and trying to act proper. So they would call them

627
00:31:49,320 --> 00:31:54,160
Speaker 3: yankee doodle dandies, and then that got shortened to dude,

628
00:31:54,440 --> 00:31:57,720
Speaker 3: and then it meant just like a city dweller in England,

629
00:31:58,480 --> 00:32:02,160
Speaker 3: and then dude ranch meant like a gentleman's farm, like

630
00:32:03,240 --> 00:32:05,840
Speaker 3: someone from the city who had like a ranch, and

631
00:32:05,880 --> 00:32:07,440
Speaker 3: they would just they didn't know what the fuck to

632
00:32:07,480 --> 00:32:09,160
Speaker 3: do with it, you know, they just like wanted to

633
00:32:09,200 --> 00:32:11,280
Speaker 3: like pretend like they were a cowboy. That's where dude

634
00:32:11,320 --> 00:32:14,000
Speaker 3: ranch comes from. And then in the nineteen thirties it

635
00:32:14,080 --> 00:32:17,440
Speaker 3: became black slang. Of course, that's of the introduction to

636
00:32:17,440 --> 00:32:21,080
Speaker 3: anything cool in America. And then the fifties surfers took

637
00:32:21,080 --> 00:32:23,280
Speaker 3: it up, and then in the seventies it became mainstream.

638
00:32:23,720 --> 00:32:31,040
Speaker 3: But it stands for yankee doodle, which is so funny.

639
00:32:31,760 --> 00:32:32,680
Speaker 6: We've taken it.

640
00:32:32,680 --> 00:32:38,719
Speaker 8: From insult to a nicely I'll.

641
00:32:36,960 --> 00:32:38,800
Speaker 1: Bringing it back to yankee doodle.

642
00:32:39,920 --> 00:32:41,120
Speaker 2: What's up? Yankee doodle?

643
00:32:42,680 --> 00:32:45,120
Speaker 1: All right, give me some shout out, Scottie.

644
00:32:44,640 --> 00:32:49,200
Speaker 2: Sure, thumbs up. Devin Levine is hugely thumbing his pregnant

645
00:32:49,200 --> 00:32:52,600
Speaker 2: wife Sonia up after even while being seven months pregnant.

646
00:32:52,640 --> 00:32:56,239
Speaker 2: Sonya orchestrated an incredible birthday for Devin. He is a

647
00:32:56,320 --> 00:32:59,840
Speaker 2: huge antiques road show fan as am I, and he

648
00:33:00,080 --> 00:33:05,480
Speaker 2: managed to get Kevin Zavian Kevin Zavian to send two

649
00:33:05,920 --> 00:33:09,640
Speaker 2: birthday videos. Now that might be like whatever, but Kevin

650
00:33:09,840 --> 00:33:13,120
Speaker 2: is not on cameo. So Sonya tracked him down on

651
00:33:13,160 --> 00:33:17,440
Speaker 2: his email that has an atoil dot com address, which

652
00:33:17,720 --> 00:33:20,680
Speaker 2: Devin wanted me to know, and made it happen two

653
00:33:20,760 --> 00:33:23,240
Speaker 2: different birthday videos. So big love from Montreal. And I

654
00:33:23,240 --> 00:33:26,000
Speaker 2: also say thumbs up Kevin Zavian of the Antiques Roadshow

655
00:33:26,000 --> 00:33:28,600
Speaker 2: for making two videos for a super fan. That's very nice.

656
00:33:28,880 --> 00:33:35,000
Speaker 2: Great job Sonya Correne Sovie, who came to our Chicago show,

657
00:33:35,000 --> 00:33:39,480
Speaker 2: I believe wants to thumb her husband Jay up. Now, Kurt,

658
00:33:39,600 --> 00:33:43,560
Speaker 2: you're going to love this one. Oh okay. Jay charters

659
00:33:43,600 --> 00:33:46,880
Speaker 2: fishing trips on Lake Erie. While out on the lake

660
00:33:46,920 --> 00:33:48,960
Speaker 2: a little while ago, it was a very choppy day.

661
00:33:48,960 --> 00:33:52,080
Speaker 2: He was taken a tour out. Jay witnessed a smaller

662
00:33:52,080 --> 00:33:56,040
Speaker 2: boat that suddenly disappeared. It capsized. Oh my god. The

663
00:33:56,120 --> 00:33:59,160
Speaker 2: captain and five passengers on board were struggling to cling

664
00:33:59,240 --> 00:34:02,320
Speaker 2: to the upside down boat in the choppy water. Jay

665
00:34:02,360 --> 00:34:05,320
Speaker 2: sprang into action, first radioing for help and then tossing

666
00:34:05,360 --> 00:34:09,600
Speaker 2: a booy ring a life saver to each passenger and

667
00:34:09,640 --> 00:34:11,839
Speaker 2: the captain one at a time, saving them all and

668
00:34:11,880 --> 00:34:14,680
Speaker 2: getting them on a boat. All of the passengers and

669
00:34:14,719 --> 00:34:17,520
Speaker 2: the captain were safe, and if he hadn't seen the flip,

670
00:34:17,560 --> 00:34:22,200
Speaker 2: they were over two miles from shore. So now that's

671
00:34:22,280 --> 00:34:26,520
Speaker 2: not good. So thumbs up to Captain Jay for saving

672
00:34:27,000 --> 00:34:29,480
Speaker 2: the day. That's a great one.

673
00:34:29,840 --> 00:34:31,120
Speaker 1: That's a great one. Thumbs up.

674
00:34:31,560 --> 00:34:33,960
Speaker 2: This one's a medium one, but you'll see why we're

675
00:34:33,960 --> 00:34:39,320
Speaker 2: doing it. Barbara Maggot, sister of full Human not robot,

676
00:34:39,400 --> 00:34:43,200
Speaker 2: part time employee, our intern and part time employee Lisa Maggott,

677
00:34:43,920 --> 00:34:48,200
Speaker 2: is thumbing Melanie Clatten off up for having a friend

678
00:34:48,760 --> 00:34:56,160
Speaker 2: who has a cousin who is competing the Olympics. We're

679
00:34:56,200 --> 00:34:59,280
Speaker 2: gonna also give that just a thumbs up to Lisa Maggot,

680
00:34:59,280 --> 00:35:01,279
Speaker 2: who does a great job and is helping us play

681
00:35:01,280 --> 00:35:04,200
Speaker 2: on Banana's fest. So thumbs up to Barbera Maggott's sister,

682
00:35:04,320 --> 00:35:07,880
Speaker 2: a full human not robot, part time employee, Lisa Maggott,

683
00:35:07,960 --> 00:35:10,399
Speaker 2: and I got one. Well, please dive in.

684
00:35:11,120 --> 00:35:14,239
Speaker 3: This is from copy Hay sent this in asked for

685
00:35:15,080 --> 00:35:18,960
Speaker 3: a thumbs up for Miss Holly Dawn, who loved an Animal,

686
00:35:20,200 --> 00:35:22,719
Speaker 3: for putting out her own book that she wrote and

687
00:35:22,760 --> 00:35:26,440
Speaker 3: designed all by herself. It's called Miss Holly Dawn's Ultimate

688
00:35:26,480 --> 00:35:30,640
Speaker 3: Guide and Checklist Tatiki Enlightenment. It's a notebook that includes

689
00:35:30,680 --> 00:35:34,319
Speaker 3: all the tiki bars in America and has notes and

690
00:35:34,440 --> 00:35:37,319
Speaker 3: questions for you to fill out about your experience so

691
00:35:37,320 --> 00:35:39,719
Speaker 3: you can keep track on your journey to visit them

692
00:35:39,760 --> 00:35:42,640
Speaker 3: all the link to order, we'll we'll put it in

693
00:35:42,840 --> 00:35:43,719
Speaker 3: our stories.

694
00:35:46,040 --> 00:35:49,000
Speaker 2: Holly Dawn send it to us, we'll post about it.

695
00:35:49,160 --> 00:35:51,399
Speaker 3: We'll post about it. So Holly sent it to us.

696
00:35:52,200 --> 00:35:54,520
Speaker 3: But that was very nice of copy haste. He said,

697
00:35:54,520 --> 00:35:57,160
Speaker 3: they met it first. It's splitting the city and our

698
00:35:57,239 --> 00:35:58,960
Speaker 3: buds that they go to shows together.

699
00:35:59,520 --> 00:36:02,920
Speaker 2: So yeah, Holly's so nice. Yeah, thumbs up, Holly Dawn.

700
00:36:03,000 --> 00:36:07,799
Speaker 2: And last but not least, Brandy Chalker, who on Instagram

701
00:36:07,880 --> 00:36:13,040
Speaker 2: is at Flourish Bay Area, set up a Bananamal buddy

702
00:36:13,080 --> 00:36:16,200
Speaker 2: bash on Friday the sixth, the day before we're doing Canie.

703
00:36:16,320 --> 00:36:18,640
Speaker 2: We're doing a big all day comedy festival in Denver

704
00:36:18,680 --> 00:36:22,600
Speaker 2: called Bananas Fest. We have silly, absurd things happening every

705
00:36:22,640 --> 00:36:25,520
Speaker 2: hour all day long in Laramer Square. But the day

706
00:36:25,560 --> 00:36:28,560
Speaker 2: before we have so many bananimals who are coming to

707
00:36:28,600 --> 00:36:30,680
Speaker 2: Denver for the first time, are coming to Denver and

708
00:36:30,719 --> 00:36:34,919
Speaker 2: they don't know anybody or local Denverites who just want

709
00:36:34,960 --> 00:36:39,120
Speaker 2: to meet other banannimals. This Bananamal named Brandy Chalker set

710
00:36:39,239 --> 00:36:42,279
Speaker 2: up a whole thing without us asking, including like a

711
00:36:42,320 --> 00:36:45,719
Speaker 2: website and a Google map, like dropped a pin So

712
00:36:46,400 --> 00:36:48,719
Speaker 2: if you're coming to Bananas Fest and you want to

713
00:36:48,719 --> 00:36:51,919
Speaker 2: meet other bananimals on Friday from one thirty to four

714
00:36:51,960 --> 00:36:55,000
Speaker 2: pm in City Park, Denver. There's a little website. We

715
00:36:55,600 --> 00:36:57,879
Speaker 2: will be sharing it in our stories pretty much every day.

716
00:36:58,440 --> 00:37:01,120
Speaker 2: But Brandy Chalker, who did this absolutely out of the

717
00:37:01,239 --> 00:37:04,360
Speaker 2: kindness of her own heart and volunteered for it. Banana

718
00:37:04,360 --> 00:37:05,120
Speaker 2: of the Week, right.

719
00:37:05,239 --> 00:37:09,040
Speaker 3: Banana Banana Week, Banana thank.

720
00:37:08,760 --> 00:37:12,120
Speaker 2: You, Thank you, Brandy. It's very kind and that's our

721
00:37:12,160 --> 00:37:12,840
Speaker 2: thumbs ups.

722
00:37:13,200 --> 00:37:15,600
Speaker 3: And of course we are here with the fantastic and

723
00:37:15,680 --> 00:37:17,040
Speaker 3: wonderful Canise Mobley.

724
00:37:17,280 --> 00:37:17,759
Speaker 2: Yes we are.

725
00:37:18,360 --> 00:37:19,560
Speaker 1: You can go and see.

726
00:37:19,320 --> 00:37:24,680
Speaker 3: Her in Edinburgh for from August fourth to August twenty eighth,

727
00:37:24,880 --> 00:37:29,319
Speaker 3: every single day. And I think it's the leath, Oh,

728
00:37:29,080 --> 00:37:34,480
Speaker 3: the leath, the leaf tunnelses, what arches the leaf arch

729
00:37:35,760 --> 00:37:37,640
Speaker 3: Do be prepared, prepare.

730
00:37:37,280 --> 00:37:40,279
Speaker 1: Yourself for the arches. They're wet inside. Do you know

731
00:37:40,360 --> 00:37:46,640
Speaker 1: that moys they drip damp, they drip and they're damp. Yes.

732
00:37:48,400 --> 00:37:50,399
Speaker 8: I was not prepared for any of this, so thank

733
00:37:50,400 --> 00:37:52,760
Speaker 8: you for this morning. I will wear a head covering.

734
00:37:52,880 --> 00:37:55,200
Speaker 8: Oh my goodness, it's damp.

735
00:37:55,719 --> 00:37:58,640
Speaker 3: It's like it's very humid inside there because of the

736
00:37:58,719 --> 00:38:00,560
Speaker 3: rocks and the earth and everything.

737
00:38:01,600 --> 00:38:04,120
Speaker 6: Okay, I'm from the South.

738
00:38:04,160 --> 00:38:06,880
Speaker 3: Community is like, my friend, then you're gonna love it.

739
00:38:06,920 --> 00:38:13,360
Speaker 3: Then you're gonna home and mossy. No, it's just wet

740
00:38:13,840 --> 00:38:14,440
Speaker 3: and moist.

741
00:38:14,520 --> 00:38:17,400
Speaker 8: I was, okay, like wet and moist rocks often smell

742
00:38:17,480 --> 00:38:18,239
Speaker 8: like mossy to me.

743
00:38:18,760 --> 00:38:21,799
Speaker 3: Oh yeah, yeah, there's a mustiness odor, there's a mustiness.

744
00:38:21,960 --> 00:38:24,399
Speaker 3: Yeah yeah, yeah, yeah, Okay, it's like they're just used

745
00:38:24,400 --> 00:38:27,480
Speaker 3: to it over there. Also, outside of that, you'll be

746
00:38:27,560 --> 00:38:30,040
Speaker 3: the coldest you've ever been, even though you've lived in

747
00:38:30,040 --> 00:38:32,879
Speaker 3: New York. In this in the wintertime, it's so cool,

748
00:38:33,160 --> 00:38:35,480
Speaker 3: except unless, of course, you get the two weeks that

749
00:38:35,560 --> 00:38:37,920
Speaker 3: Scottie got when he came with us, which was.

750
00:38:37,880 --> 00:38:39,719
Speaker 1: Eighty degrees of perfect difficult.

751
00:38:40,239 --> 00:38:43,880
Speaker 2: You're gonna love it. Pack your tank keenies, pack your

752
00:38:44,360 --> 00:38:47,400
Speaker 2: short shorts and your roller skates because Edinburgh weather is

753
00:38:47,560 --> 00:38:48,680
Speaker 2: number one in the world.

754
00:38:49,040 --> 00:38:52,759
Speaker 8: Okay, all right, great, g are great. I have a

755
00:38:52,840 --> 00:38:55,879
Speaker 8: rain jacket that looks like the Burtons Salt Girl.

756
00:38:56,000 --> 00:38:57,120
Speaker 6: Does that make sense to anyone?

757
00:38:57,320 --> 00:38:59,359
Speaker 8: Okay, well, of course, I was like, maybe people don't

758
00:38:59,400 --> 00:39:01,359
Speaker 8: know that, but that's always what I think of if

759
00:39:01,360 --> 00:39:02,520
Speaker 8: I think of a yellow slicker.

760
00:39:03,080 --> 00:39:07,319
Speaker 1: Yeah, yep, yeah, they know that. They won't know about that.

761
00:39:07,440 --> 00:39:09,759
Speaker 6: No, they have. We have some other salt girl that

762
00:39:09,840 --> 00:39:11,400
Speaker 6: doesn't even have to wear a raincoat.

763
00:39:11,760 --> 00:39:16,560
Speaker 2: Yeah, that's fantastic. We also have another ban animal who

764
00:39:16,600 --> 00:39:18,839
Speaker 2: is a guest on the show. Katherine McCafferty. Is there

765
00:39:18,960 --> 00:39:22,800
Speaker 2: her doing her show right now, So go support Catherine's

766
00:39:23,520 --> 00:39:25,480
Speaker 2: her shows. Oh yeah, she's great. If you don't know her,

767
00:39:25,840 --> 00:39:32,399
Speaker 2: hang out. She's wonderful. Become what you got, Curdie b all.

768
00:39:32,360 --> 00:39:33,120
Speaker 1: Right here it is.

769
00:39:34,840 --> 00:39:41,160
Speaker 3: Uh, it's a adorable story. Zoo freeze tiny links that

770
00:39:41,400 --> 00:39:43,080
Speaker 3: kept trying to escape this.

771
00:39:43,200 --> 00:39:45,040
Speaker 1: I love this story. Here it is.

772
00:39:45,080 --> 00:39:49,160
Speaker 3: This was written by David Crossland. It was in the Times,

773
00:39:50,080 --> 00:39:55,160
Speaker 3: the General Times. A young Carpathian links called Choppo, which

774
00:39:55,200 --> 00:39:58,480
Speaker 3: is Spanish for shorty we know, has won his freedom

775
00:39:58,520 --> 00:40:01,800
Speaker 3: after repeated escape atten and is now roaming the wilds

776
00:40:01,800 --> 00:40:05,520
Speaker 3: of Saxony in search of rabbits, foxes and deers. The

777
00:40:05,560 --> 00:40:08,439
Speaker 3: one year old wildcat, which was born in the Nuremberg Zoo,

778
00:40:08,719 --> 00:40:11,360
Speaker 3: had been intended for a breeding program for the species,

779
00:40:11,400 --> 00:40:13,920
Speaker 3: which was hunted almost to extinction in Germany by the

780
00:40:13,960 --> 00:40:17,880
Speaker 3: early nineteen hundreds. However, he had other plans and jumped

781
00:40:17,880 --> 00:40:21,520
Speaker 3: over the fence of his enclosure shortly after his arrival

782
00:40:21,600 --> 00:40:24,920
Speaker 3: at a breeding station in the Harz Mountains in early June.

783
00:40:25,000 --> 00:40:27,720
Speaker 3: He was quickly caught, but his wonder lust was evident.

784
00:40:27,760 --> 00:40:29,800
Speaker 3: He kept looking for ways out of the enclosure and

785
00:40:29,840 --> 00:40:32,480
Speaker 3: found it difficult to settle down. This showed that the

786
00:40:32,520 --> 00:40:35,759
Speaker 3: young links was better suited to being released into the wild,

787
00:40:35,960 --> 00:40:38,279
Speaker 3: experts from the Linking Links Network.

788
00:40:38,480 --> 00:40:40,239
Speaker 1: Oh, come on, it's not called that.

789
00:40:41,040 --> 00:40:44,680
Speaker 3: The Linking Links Network, which works on the conservation monitoring

790
00:40:44,760 --> 00:40:48,520
Speaker 3: management of the Carpathian Links, had already classified Chopo Shy

791
00:40:48,640 --> 00:40:54,000
Speaker 3: potentially suitable for reintroduction program, so the keepers in Nuremberg

792
00:40:54,040 --> 00:40:56,600
Speaker 3: had been at pains to prepare him for a possible

793
00:40:56,600 --> 00:40:59,319
Speaker 3: life in the wild. They kept contact with him to

794
00:40:59,400 --> 00:41:02,520
Speaker 3: a minimum, only fed him game, and kept him in

795
00:41:02,520 --> 00:41:05,640
Speaker 3: a relatively large enclosure. He was then fitted with a

796
00:41:05,680 --> 00:41:09,160
Speaker 3: GPS collar, brought to a forest in Saxony, and there

797
00:41:09,239 --> 00:41:12,719
Speaker 3: the Powerhouse predator was released from his box two weeks ago.

798
00:41:13,160 --> 00:41:16,440
Speaker 3: He came out, oriented himself briefly, then trotted briskly along

799
00:41:16,480 --> 00:41:20,640
Speaker 3: the forest paths and finally disappeared into the undergrowth. Three

800
00:41:20,760 --> 00:41:23,799
Speaker 3: other Lynxes Juno Alva and Nova had been released in

801
00:41:23,840 --> 00:41:27,640
Speaker 3: the same area, and the spring have established hunting grounds

802
00:41:27,680 --> 00:41:31,200
Speaker 3: there there, behaving and conspicuously are rarely seen and have

803
00:41:31,280 --> 00:41:34,799
Speaker 3: graduated from catching hares and foxes to deer. So far,

804
00:41:34,840 --> 00:41:38,760
Speaker 3: they've stayed away from livestock, unlike those wolves, whose reintroduction

805
00:41:39,200 --> 00:41:42,759
Speaker 3: has led to tensions with farmers, who lost thousands of

806
00:41:42,800 --> 00:41:45,399
Speaker 3: animals a year to wolf attacks. In twenty twenty two,

807
00:41:45,440 --> 00:41:48,760
Speaker 3: more than four thousand animals, mostly sheep, were killed by wolves,

808
00:41:48,760 --> 00:41:50,400
Speaker 3: according to German Federal blah blah blah.

809
00:41:50,239 --> 00:41:51,799
Speaker 2: Blah blah blah blah blah bla blah blah blah blah

810
00:41:51,800 --> 00:41:53,919
Speaker 2: blah blah blah blah blah blah blah blah blah blah.

811
00:41:53,960 --> 00:41:59,480
Speaker 3: That's about it, lare it is, yeah, and it's The

812
00:41:59,560 --> 00:42:02,600
Speaker 3: picture is just of a of a very large cat

813
00:42:02,800 --> 00:42:06,320
Speaker 3: that's obviously still a kitten like scampering into the woods.

814
00:42:06,320 --> 00:42:10,120
Speaker 1: It's very adorable. I like this. Let's do this more,

815
00:42:10,400 --> 00:42:11,560
Speaker 1: Let's do this more.

816
00:42:11,640 --> 00:42:13,640
Speaker 3: Also, I think it's a great lesson that if you

817
00:42:13,640 --> 00:42:19,000
Speaker 3: feel like you don't belong where you are, try to escape.

818
00:42:19,080 --> 00:42:21,960
Speaker 6: Just keep leaving, and then eventually they'll just let.

819
00:42:21,840 --> 00:42:25,240
Speaker 1: You know it could happen. It could happen.

820
00:42:25,280 --> 00:42:28,319
Speaker 3: We've got a lot of stories about beefalos that have

821
00:42:28,480 --> 00:42:30,800
Speaker 3: escaped and cows.

822
00:42:31,800 --> 00:42:36,640
Speaker 8: What is a beef buffalo mixed with a cow?

823
00:42:37,320 --> 00:42:40,000
Speaker 1: Yeah, they've raised that's they're raised for their beef. So

824
00:42:40,000 --> 00:42:42,040
Speaker 1: he got out and he just lives his best life.

825
00:42:42,040 --> 00:42:46,360
Speaker 2: There's a dim with elk or something. Yeah, we just

826
00:42:46,440 --> 00:42:49,120
Speaker 2: did that one. It's just great. We just love it.

827
00:42:49,200 --> 00:42:51,040
Speaker 2: We love it. We love when they get out there

828
00:42:51,080 --> 00:42:55,720
Speaker 2: and stretch those hoofs. That's really sweet. This is go ahead.

829
00:42:55,760 --> 00:42:58,440
Speaker 6: Please sorry, I just maybe an insensitive question.

830
00:42:58,480 --> 00:43:01,439
Speaker 8: They were hoping that this guy I would like made

831
00:43:01,440 --> 00:43:03,640
Speaker 8: and they'd be able to breed some of these in captivity.

832
00:43:04,000 --> 00:43:10,000
Speaker 6: Right, did they milk this guy before he.

833
00:43:10,040 --> 00:43:12,359
Speaker 1: Left or what did they milk him?

834
00:43:12,440 --> 00:43:12,919
Speaker 2: You know what?

835
00:43:13,000 --> 00:43:15,120
Speaker 1: The times just simply doesn't match.

836
00:43:17,800 --> 00:43:18,799
Speaker 6: That's why they let him go.

837
00:43:19,040 --> 00:43:23,640
Speaker 3: Or I think they were like, he's not going to cooperate, Oh,

838
00:43:23,920 --> 00:43:28,000
Speaker 3: you might as well let him go, got it. Yeah,

839
00:43:28,000 --> 00:43:31,320
Speaker 3: But the fact that they've already reintroduced for is pretty exciting.

840
00:43:32,239 --> 00:43:35,000
Speaker 2: I think that's so exciting. That's like sometimes when people

841
00:43:35,000 --> 00:43:36,640
Speaker 2: are like, what's your dream job or whatever? When you

842
00:43:36,680 --> 00:43:38,360
Speaker 2: hear about people that do this for a living You're like,

843
00:43:38,440 --> 00:43:42,120
Speaker 2: that's got to be satisfying. That's got to be great work.

844
00:43:42,719 --> 00:43:45,160
Speaker 2: That's not data entry. That is you were like, we

845
00:43:45,400 --> 00:43:49,279
Speaker 2: raised a wild animal, relocated it back to where it belongs,

846
00:43:49,600 --> 00:43:52,839
Speaker 2: and we watched him and now he's flourishing, and it's

847
00:43:52,880 --> 00:43:55,120
Speaker 2: like the rest of us are like I printed a

848
00:43:55,120 --> 00:43:59,360
Speaker 2: PDF today and I realized there was a typo, so

849
00:43:59,440 --> 00:44:00,520
Speaker 2: I printed it again.

850
00:44:01,360 --> 00:44:04,040
Speaker 3: Canise if you were not a comedian, what would your

851
00:44:04,239 --> 00:44:05,279
Speaker 3: dream job be?

852
00:44:07,360 --> 00:44:14,680
Speaker 8: Research psychologists, probably at a university, doing studies on how

853
00:44:14,920 --> 00:44:19,600
Speaker 8: children formed their identities and sexual identity specifically.

854
00:44:20,120 --> 00:44:24,080
Speaker 2: Wow, boy, you just became our favorite guest in the

855
00:44:24,120 --> 00:44:26,840
Speaker 2: history of bananas. Our listenership is going to be like, yep,

856
00:44:26,960 --> 00:44:31,200
Speaker 2: me too. You hit the nail on the head so

857
00:44:31,440 --> 00:44:32,960
Speaker 2: hard with that one.

858
00:44:33,440 --> 00:44:37,880
Speaker 3: Were you ever get headed down that path?

859
00:44:38,080 --> 00:44:38,319
Speaker 6: Yes?

860
00:44:39,800 --> 00:44:44,960
Speaker 8: I got my undergrad in psychology and I did research

861
00:44:45,600 --> 00:44:48,200
Speaker 8: on children, not in like a creepy way, but just

862
00:44:48,280 --> 00:44:52,000
Speaker 8: like we did a recreation of the Clark Doll study,

863
00:44:52,160 --> 00:44:54,840
Speaker 8: which is the study they used in Brown v. Board

864
00:44:54,840 --> 00:44:57,960
Speaker 8: of Education to show that segregation was actually doing harm

865
00:44:58,040 --> 00:45:02,959
Speaker 8: to children and their So you showed kids different dolls

866
00:45:02,960 --> 00:45:05,279
Speaker 8: of different colors and ask them like, which doll are

867
00:45:05,320 --> 00:45:06,800
Speaker 8: they what do they think of the different dolls?

868
00:45:07,239 --> 00:45:08,400
Speaker 6: And so we did.

869
00:45:08,200 --> 00:45:11,840
Speaker 8: That, but we also did one based on how children

870
00:45:11,960 --> 00:45:15,359
Speaker 8: formed their ideas of morality, And so we had them

871
00:45:15,719 --> 00:45:18,719
Speaker 8: watch these videos over the course of six months and

872
00:45:18,760 --> 00:45:24,080
Speaker 8: then tracked like how the incidents of fights, insults, certain

873
00:45:24,080 --> 00:45:26,960
Speaker 8: types of self talk, how those incidents all went down

874
00:45:27,280 --> 00:45:29,880
Speaker 8: once they were showed these videos on morality.

875
00:45:30,000 --> 00:45:32,440
Speaker 1: So, oh wow, that's interesting.

876
00:45:33,360 --> 00:45:37,560
Speaker 8: Very that's I love how culture affects how children developed

877
00:45:37,560 --> 00:45:38,560
Speaker 8: their ideas of themselves.

878
00:45:38,600 --> 00:45:43,000
Speaker 2: Yeah, I feel like you could do this simultaneously with

879
00:45:43,080 --> 00:45:46,160
Speaker 2: being a comic. This feels like do you do that

880
00:45:46,280 --> 00:45:48,000
Speaker 2: by day in comedy by night?

881
00:45:48,440 --> 00:45:49,960
Speaker 6: If someone wants to pay me to do that?

882
00:45:50,480 --> 00:45:54,600
Speaker 3: Absolutely, Yeah, that's cool.

883
00:45:54,640 --> 00:45:55,239
Speaker 2: I like that.

884
00:45:55,719 --> 00:45:58,480
Speaker 3: It does seem that academia exists in this weird place

885
00:45:58,480 --> 00:46:01,080
Speaker 3: of like where you just have to get grants. Yes,

886
00:46:01,080 --> 00:46:03,880
Speaker 3: and it's like being and it's essentially like being a

887
00:46:03,920 --> 00:46:07,880
Speaker 3: freelance writer or comic anyway, where you're just like battling

888
00:46:07,960 --> 00:46:10,439
Speaker 3: to get that like one little thing so you're like, oh,

889
00:46:10,520 --> 00:46:12,600
Speaker 3: I'm safe for six months.

890
00:46:15,000 --> 00:46:17,800
Speaker 2: Yeah grant right. It feels hard. I mean, it feels

891
00:46:17,800 --> 00:46:20,160
Speaker 2: harder than like writing a book when I when I

892
00:46:20,200 --> 00:46:22,360
Speaker 2: see people that are like writing stuff for school grants.

893
00:46:22,400 --> 00:46:28,920
Speaker 2: I'm like, this is so hard. Yeah, well terror interesting, interesting.

894
00:46:28,520 --> 00:46:31,920
Speaker 8: I'll be the very stable and wise career decision of

895
00:46:32,040 --> 00:46:33,520
Speaker 8: stand up comedian instead.

896
00:46:34,800 --> 00:46:37,520
Speaker 2: Hey, you're great at it. You picked a good lane.

897
00:46:37,960 --> 00:46:43,040
Speaker 2: Hey here's one. Oh, this is good. This is sort

898
00:46:43,040 --> 00:46:45,919
Speaker 2: of school related. This is a natural segue. Lisa Wood

899
00:46:45,960 --> 00:46:48,239
Speaker 2: sent this in Lisa sends lots of great stories. Thank you,

900
00:46:48,280 --> 00:46:53,480
Speaker 2: Lisa Wood. This was written written by Nadeem Badshaw for

901
00:46:53,560 --> 00:46:58,200
Speaker 2: The Guardian. That's a real one. Man graduates forty one

902
00:46:58,280 --> 00:47:02,280
Speaker 2: years after being denied Sarah because of a parrot problem.

903
00:47:02,680 --> 00:47:03,719
Speaker 1: I almost did this one.

904
00:47:03,760 --> 00:47:06,880
Speaker 2: I love it. The reason I love this one so

905
00:47:07,000 --> 00:47:11,200
Speaker 2: much is the way Nadeem Badjaw, who is the best

906
00:47:11,239 --> 00:47:14,319
Speaker 2: in the bysz undeniably the best in the biss this

907
00:47:14,480 --> 00:47:17,440
Speaker 2: article just starts taking turns at the end that I

908
00:47:17,560 --> 00:47:18,880
Speaker 2: could never have seen coming.

909
00:47:19,200 --> 00:47:19,759
Speaker 1: Give it to me.

910
00:47:20,239 --> 00:47:22,920
Speaker 2: A man who has denied his graduation for forty one

911
00:47:23,000 --> 00:47:26,480
Speaker 2: years because of an unpaid bill of sixty four pounds

912
00:47:26,600 --> 00:47:31,040
Speaker 2: and eighty pence or something relating to a parrot, who

913
00:47:33,000 --> 00:47:35,800
Speaker 2: relating to a parrot, has finally donned his cap and

914
00:47:36,000 --> 00:47:39,400
Speaker 2: cot and gown on the same day as his son.

915
00:47:39,640 --> 00:47:43,120
Speaker 2: His name okay, the last name is spelled as so

916
00:47:43,920 --> 00:47:49,880
Speaker 2: c l O t H I E R so Clothier

917
00:47:50,160 --> 00:47:54,920
Speaker 2: or Clothier or I'm going Clothier because I think it

918
00:47:55,000 --> 00:48:02,600
Speaker 2: sounds funny or Clothier. Johnny Clothier studied architecture at University

919
00:48:02,600 --> 00:48:04,920
Speaker 2: of Bristol and was meant to graduate with his peers

920
00:48:05,000 --> 00:48:08,920
Speaker 2: in nineteen eighty three, but his old flatmate had a

921
00:48:08,960 --> 00:48:12,120
Speaker 2: parrot which, after being left unsupervised, had free run of

922
00:48:12,160 --> 00:48:17,799
Speaker 2: their university university accommodation and wrecked the entire place. The

923
00:48:17,880 --> 00:48:21,400
Speaker 2: students found alternative housing, but still had to settle the

924
00:48:21,480 --> 00:48:26,000
Speaker 2: term's final rent of sixty four pounds, which Clothier refused

925
00:48:26,040 --> 00:48:29,920
Speaker 2: to pay. A long since abolish rule meant that students

926
00:48:29,960 --> 00:48:33,480
Speaker 2: with unpaid accommodation bills were awarded degrees but were not

927
00:48:33,640 --> 00:48:36,840
Speaker 2: allowed to graduate, So after forty one years, the university

928
00:48:36,840 --> 00:48:41,160
Speaker 2: decided to waive the bill, which allowed Clothier to graduate

929
00:48:41,200 --> 00:48:45,240
Speaker 2: alongside his youngest son, Carter, twenty one years of age,

930
00:48:45,520 --> 00:48:49,440
Speaker 2: who completed a biology degree. Clothier's sixty two. Now he

931
00:48:49,520 --> 00:48:53,640
Speaker 2: lives in Petersfield, Hampshire or Hampshire, and he viewed the

932
00:48:53,719 --> 00:48:57,200
Speaker 2: unpaid bill as an ultra long term interest free loan.

933
00:48:57,400 --> 00:49:01,920
Speaker 2: So that's where the story could have ended. Pretty They

934
00:49:01,960 --> 00:49:05,120
Speaker 2: haven't then mentioned the money, so I'm keeping quiet, he joked.

935
00:49:05,760 --> 00:49:08,160
Speaker 2: It means that Clothier and his wife, Helen Hill, sixty,

936
00:49:08,239 --> 00:49:10,680
Speaker 2: and all of their three children have now graduated from

937
00:49:10,760 --> 00:49:13,840
Speaker 2: University of Bristol. He added, I love doing time at architecture.

938
00:49:13,840 --> 00:49:16,040
Speaker 2: Blah blah blah. It was really good training for life.

939
00:49:16,360 --> 00:49:18,760
Speaker 2: We danced, we partied, then went back to work. Okay,

940
00:49:18,920 --> 00:49:21,200
Speaker 2: so this is where I'm going to jump down about

941
00:49:21,360 --> 00:49:24,279
Speaker 2: four paragraphs. It's been really nice watching the kids go

942
00:49:24,360 --> 00:49:26,480
Speaker 2: through the same things forty years on, and it's been

943
00:49:26,520 --> 00:49:31,160
Speaker 2: amazing to all be together for these graduations. Clothier said

944
00:49:31,200 --> 00:49:35,000
Speaker 2: about his graduation day last Thursday. Was enormous fun, but

945
00:49:35,080 --> 00:49:38,120
Speaker 2: it's not really about me. It's about them, and signing

946
00:49:38,160 --> 00:49:40,000
Speaker 2: off on a twenty year project to get his kids

947
00:49:40,040 --> 00:49:42,719
Speaker 2: through the whole education cycle. Again, we could end it here.

948
00:49:45,840 --> 00:49:49,560
Speaker 2: Here's where it gets fun. Hill. This is his wife,

949
00:49:49,719 --> 00:49:52,840
Speaker 2: whom Clothier met at Bristol, graduated in Russian and French

950
00:49:52,840 --> 00:49:54,880
Speaker 2: in nineteen eighty five and was approached to work for

951
00:49:55,040 --> 00:50:00,319
Speaker 2: mi I six, which is their CIA. Right yep, yep.

952
00:50:01,239 --> 00:50:03,839
Speaker 2: She work extensively in Russia and went on to make

953
00:50:04,120 --> 00:50:08,919
Speaker 2: TV documentaries. Clothier left architecture and also went to work

954
00:50:08,920 --> 00:50:11,200
Speaker 2: in TV as a director and executive producer, but has

955
00:50:11,239 --> 00:50:15,280
Speaker 2: returned to his favorite subject, building contemporary net zero treehouses

956
00:50:15,320 --> 00:50:20,120
Speaker 2: in the forest of Dean, Okay. Their eldest son, Keito

957
00:50:21,280 --> 00:50:25,080
Speaker 2: Quito Clothier, graduated with a degree. I wonder what his

958
00:50:25,080 --> 00:50:28,680
Speaker 2: face will look like as an adult. Close your eyes

959
00:50:28,680 --> 00:50:32,880
Speaker 2: and picture. Keito Clothier went to get a degree in

960
00:50:32,960 --> 00:50:35,920
Speaker 2: music in twenty twenty. He now is an art dealer

961
00:50:35,960 --> 00:50:41,160
Speaker 2: specializing in the works of Banksy, Okay. The couple's daughter,

962
00:50:42,040 --> 00:50:45,960
Speaker 2: Tiger Clothier, graduated in twenty twenty and is a ski

963
00:50:46,000 --> 00:50:53,680
Speaker 2: instructor in Japan. This family is incredible. The parrot is

964
00:50:53,719 --> 00:50:57,920
Speaker 2: the most boring thing to happen to this family. Carter,

965
00:50:58,440 --> 00:51:01,520
Speaker 2: who is looking for a career and sustainability, having recently

966
00:51:01,560 --> 00:51:05,680
Speaker 2: represented in England playing lacrosse in Portugal.

967
00:51:06,920 --> 00:51:09,880
Speaker 3: The title of this should have been husband of I

968
00:51:10,080 --> 00:51:15,200
Speaker 3: six agent graduates forty years earlier with parent like, that's

969
00:51:15,239 --> 00:51:16,719
Speaker 3: what should we should open with.

970
00:51:17,760 --> 00:51:21,520
Speaker 2: It's definitely a unique experience graduating with your dad, said

971
00:51:21,560 --> 00:51:25,280
Speaker 2: lacrosse playing Carter, who played lacrosse in Portugal while representing England.

972
00:51:25,760 --> 00:51:28,040
Speaker 2: You know, his sister Tiger was a ski instructor in Japan.

973
00:51:28,400 --> 00:51:32,160
Speaker 2: But it was an amazing day and a beautiful ceremony.

974
00:51:32,719 --> 00:51:36,000
Speaker 2: Damn that takes some turns. Have a mom that's a

975
00:51:36,040 --> 00:51:42,920
Speaker 2: spy awesome and then have these international kids Quito, Carter

976
00:51:43,280 --> 00:51:44,040
Speaker 2: and Tiger.

977
00:51:44,280 --> 00:51:46,279
Speaker 1: What Carter really lost out?

978
00:51:46,360 --> 00:51:48,600
Speaker 6: It seems it seems.

979
00:51:48,280 --> 00:51:51,520
Speaker 3: Like and Tiger were named by one parent and Carter

980
00:51:51,719 --> 00:51:53,080
Speaker 3: was named by the other parent.

981
00:51:53,320 --> 00:51:55,440
Speaker 1: Can we just have one Carter?

982
00:51:56,400 --> 00:51:58,040
Speaker 6: Oh wow?

983
00:51:59,400 --> 00:52:05,400
Speaker 3: So treehouses, you build a tree zero waste and zero

984
00:52:05,800 --> 00:52:09,160
Speaker 3: zero waste contemporary treehouse in the Forest of Dean.

985
00:52:09,640 --> 00:52:12,600
Speaker 2: That's after he gave up being an executive producer. Director

986
00:52:14,800 --> 00:52:15,800
Speaker 2: hurt so much.

987
00:52:15,880 --> 00:52:18,680
Speaker 6: Our treehouse is often not carbon neutrient.

988
00:52:19,440 --> 00:52:22,520
Speaker 8: That's a great environmentally unfriendly.

989
00:52:22,680 --> 00:52:27,279
Speaker 2: Usually they just went rotten rust, right, rock and rust

990
00:52:27,360 --> 00:52:28,480
Speaker 2: in is what it's all about.

991
00:52:29,280 --> 00:52:33,399
Speaker 3: Also the fact that a term, a term of school,

992
00:52:33,800 --> 00:52:36,480
Speaker 3: the rent was sixty four pounds. That was in nineteen

993
00:52:36,520 --> 00:52:39,759
Speaker 3: eighty three, and now it's you. You'd probably be lucky

994
00:52:39,760 --> 00:52:43,560
Speaker 3: if you paid six thousan four hundred pounds for that term, right, Yeah,

995
00:52:43,600 --> 00:52:46,879
Speaker 3: it's probably more than that. That's so insane because it's

996
00:52:47,040 --> 00:52:49,439
Speaker 3: it's not as if in nineteen eighty people were making

997
00:52:49,480 --> 00:52:52,440
Speaker 3: twenty three thousand dollars right out of college and now

998
00:52:52,440 --> 00:52:55,120
Speaker 3: they're making two hundred and thirty thousand.

999
00:52:54,800 --> 00:52:56,600
Speaker 2: Dollars a year right out of college.

1000
00:52:56,800 --> 00:52:59,440
Speaker 1: Do you know what I mean? Like Jesus Christ, life

1001
00:52:59,520 --> 00:53:00,440
Speaker 1: was so different?

1002
00:53:00,880 --> 00:53:10,160
Speaker 2: Mmmm? Damn Well, congratulations to the whole Clothier or Clothier family.

1003
00:53:10,760 --> 00:53:13,560
Speaker 2: You are the most interesting family in England and that's

1004
00:53:13,719 --> 00:53:14,400
Speaker 2: pretty nice.

1005
00:53:15,520 --> 00:53:18,719
Speaker 3: Damn Thank you of course to Canise Mobli who is

1006
00:53:18,760 --> 00:53:22,640
Speaker 3: our guest today. Canise, where can everybody find you? Give

1007
00:53:22,719 --> 00:53:23,839
Speaker 3: us all the plug?

1008
00:53:24,480 --> 00:53:25,880
Speaker 6: Okay, all right.

1009
00:53:25,760 --> 00:53:28,600
Speaker 8: So if you're at Edinburgh, of course find me at

1010
00:53:28,719 --> 00:53:30,920
Speaker 8: the fringe. I'm doing the free fringe baby, so it

1011
00:53:30,920 --> 00:53:33,120
Speaker 8: doesn't cost you anything, so you should totally come.

1012
00:53:33,480 --> 00:53:36,120
Speaker 6: It's only your time. And I know we only have.

1013
00:53:36,080 --> 00:53:37,799
Speaker 8: This one precious life, but I think it's worth it,

1014
00:53:37,800 --> 00:53:42,440
Speaker 8: so please hume. I can be found online. Canise Mobley

1015
00:53:42,520 --> 00:53:45,799
Speaker 8: on all the socials. My mom looking at me as

1016
00:53:45,800 --> 00:53:47,640
Speaker 8: a baby was like that looks like a Canise YEA

1017
00:53:47,800 --> 00:53:51,560
Speaker 8: someone who will never have to compete for SEO in

1018
00:53:51,640 --> 00:53:52,759
Speaker 8: their lives because.

1019
00:53:52,480 --> 00:53:53,120
Speaker 1: There's no other.

1020
00:53:54,400 --> 00:53:56,600
Speaker 8: Uh So I was able to get in and get

1021
00:53:56,640 --> 00:54:00,800
Speaker 8: Canise Mobley on Instagram, on Twitter, on Facebook, on TikTok.

1022
00:54:01,040 --> 00:54:04,279
Speaker 8: So find me on any of those and you know,

1023
00:54:04,600 --> 00:54:07,439
Speaker 8: like and follow, because that's what helps me out.

1024
00:54:07,480 --> 00:54:07,920
Speaker 6: Thanks.

1025
00:54:08,360 --> 00:54:11,240
Speaker 2: That's perfect. Thank you so much for being on bananas.

1026
00:54:11,280 --> 00:54:13,239
Speaker 2: While you're there, If you go to there, there's a

1027
00:54:13,280 --> 00:54:17,160
Speaker 2: little tradition there of the Glen Grayfriars Bobby. It's a

1028
00:54:17,200 --> 00:54:19,879
Speaker 2: little dog statue you rub his nose. It's a kind

1029
00:54:19,920 --> 00:54:23,680
Speaker 2: of a pub called Greyfriars Bobby Pub. There's a good

1030
00:54:23,680 --> 00:54:26,400
Speaker 2: little bagel place there called Bobby's Bagels. If you just

1031
00:54:26,400 --> 00:54:28,960
Speaker 2: find yourself rubbing a little statue dog's nose and you

1032
00:54:29,000 --> 00:54:32,480
Speaker 2: need a sandwich, go to Bobs. They're nice people, okay, yeah,

1033
00:54:32,960 --> 00:54:36,080
Speaker 2: and then they have they do Okay.

1034
00:54:36,880 --> 00:54:38,160
Speaker 6: I was like, I don't know what the Scott's eat.

1035
00:54:38,200 --> 00:54:38,640
Speaker 6: I don't know.

1036
00:54:39,200 --> 00:54:42,880
Speaker 2: Oh they got good smoked salmon. They're good over there.

1037
00:54:43,200 --> 00:54:45,759
Speaker 3: Yeah, right out of the north Sea there. And if

1038
00:54:45,840 --> 00:54:48,840
Speaker 3: you walk right down that street that that.

1039
00:54:48,920 --> 00:54:50,280
Speaker 2: Baby Friars Bobby.

1040
00:54:50,360 --> 00:54:53,080
Speaker 3: Yeah, you walk straight down that street and it ends

1041
00:54:53,200 --> 00:54:56,000
Speaker 3: right at Arthur's Seat And that is a big mountain

1042
00:54:56,040 --> 00:54:57,840
Speaker 3: that you can climb, and you should do it early

1043
00:54:57,920 --> 00:55:00,759
Speaker 3: on and climb up to the top because it is

1044
00:55:01,040 --> 00:55:04,880
Speaker 3: a crazy view all over. You can see Edinburgh, you

1045
00:55:04,920 --> 00:55:06,759
Speaker 3: can see the North Sea on the other side. It's

1046
00:55:06,840 --> 00:55:08,440
Speaker 3: really amazing, interesting.

1047
00:55:08,680 --> 00:55:11,360
Speaker 2: All right, show, you're gonna have a great time.

1048
00:55:13,960 --> 00:55:30,520
Speaker 10: Bananas Bananas is an exactly right media production.

1049
00:55:30,680 --> 00:55:32,920
Speaker 1: Our producer and engineer is Katie Levine.

1050
00:55:33,320 --> 00:55:36,520
Speaker 2: The catchy Bananas theme song was composed and performed by Kahan.

1051
00:55:36,800 --> 00:55:40,080
Speaker 1: Artwork for Bananas was designed by Travis Millard.

1052
00:55:40,080 --> 00:55:42,920
Speaker 2: And our benevolent overlords are the great Karen Kilgareff and

1053
00:55:42,960 --> 00:55:43,880
Speaker 2: Georgia Hartstart

1054
00:55:43,960 --> 00:55:48,280
Speaker 3: And Lisa Maggott is our full human, not a robot intern.