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Speaker 1: Let's get into this.

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Speaker 2: Scott Are you ready, Oh curty Bee, I am ready

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Speaker 2: to luff and laff and laugh.

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Speaker 3: Here it is someone just rick rolled the entire city

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Speaker 3: of Dallas with a massive floating QR code.

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Speaker 2: Oh well, we're never going to give it up on

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Speaker 2: this very fancy new version of Bananas.

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Speaker 4: Still world, Would you resillion pieces?

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Speaker 2: Would you?

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Speaker 1: Guys? Gals a non binary pals.

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Speaker 3: Welcome to Bananas. I'm Krip Brown, owner and.

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Speaker 2: Banana boy number two Scotty landis. Thank you so so, so,

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Speaker 2: so so so much for listening to the silliest little

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Speaker 2: podcast ever was. And thank you to everybody who keeps

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Speaker 2: sending us unexpected bananas, which for those first time listeners,

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Speaker 2: those are not penis pictures. Those are bananas found out

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Speaker 2: in the world where you do not expect them. Thank

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Speaker 2: you to everyone who's been sending them in for almost

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Speaker 2: two years now.

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Speaker 1: Uh.

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Speaker 3: And just a reminder, I have no idea when this

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Speaker 3: episode's coming out me neither, but San Francisco, Portland, Austin, Denver,

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Speaker 3: Asberry Park, New Jersey, Brooklyn, New York.

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Speaker 2: Yeah, come on.

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Speaker 1: Over All the dates are on our Instagram Instagram click

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Speaker 1: our link tree.

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Speaker 2: Anyways, let's get that business out of the way and

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Speaker 2: get into our very very very special guest.

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Speaker 3: Our guest today is possibly the most perfect guest for

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Speaker 3: our show.

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Speaker 2: Scott correct. I agree.

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Speaker 3: She makes a living revealing the most bananas corners of

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Speaker 3: the Internet. Good's Seni, your technology reporter for BuzzFeed and

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Speaker 3: a good friend. Please welcome Katie Natopolis.

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Speaker 5: Hello, Hi, thank you for having I'm well, Thank you

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Speaker 5: for having me.

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Speaker 2: Oh it is a joy. Thanks for being here. Did

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Speaker 2: you have a lovely weekend? Are you looking forward to

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Speaker 2: this week?

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Speaker 5: You know what, I had a terrible weekend. I had

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Speaker 5: some sort of stomach bug. I was like barfeeding. I

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Speaker 5: caught it from the kids, and like.

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Speaker 6: It had been you know, by the time, you're like

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Speaker 6: an old person who has kids, it's been many years

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Speaker 6: since you've stayed up all night barfing from anything good,

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Speaker 6: and then you get it from you know, just nothing,

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Speaker 6: and it's it's frankly rude.

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Speaker 1: Really, you know, it's rude.

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Speaker 3: You didn't even do anything to deserve it, right exactly,

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Speaker 3: If I'm going to.

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Speaker 5: Be barfeing at two am, I want to have earned it,

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Speaker 5: you know.

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Speaker 3: Yeah, yeah, a great time the night before.

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Speaker 1: Instead of just a continuingly bad night.

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Speaker 3: Yeah, on your on your Twitter that you had retweeted

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Speaker 3: something that I've been fascinated with too, but like like

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Speaker 3: machine generated kids content on YouTube that's like fascinatingly disturbing

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Speaker 3: and strange.

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Speaker 2: Yeah, I don't know what that is. What's that?

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Speaker 3: Do you know anything about it, Katie, because I'll talk

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Speaker 3: if you don't want to.

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Speaker 6: I have a feeling that we sort of are on

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Speaker 6: the same wavelength. I have seen some of this both,

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Speaker 6: you know, in my research as a technology reporter, but

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Speaker 6: also like in the wild as a parent.

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Speaker 5: And so there's like a lot of stuff on YouTube that.

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Speaker 6: Probably is made somewhere outside of the US and is

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Speaker 6: like computer generated animation that has a lot of sort

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Speaker 6: of like.

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Speaker 5: Notes to it that are just like pure Toddler like ID.

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Speaker 6: So it's got like Spider Man, Donkey Kong, they're together

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Speaker 6: that is not cannon like the IP is out of

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Speaker 6: control and like and then it'll be like and they're

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Speaker 6: just going they're driving monster trucks and then like but

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Speaker 6: it almost seems like like it was like.

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Speaker 5: Not even a human.

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Speaker 6: I mean, I I don't know enough about how animation works,

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Speaker 6: but it almost feels like if you let a like

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Speaker 6: AI program continue to create the plot of the animation,

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Speaker 6: which maybe actually how it is.

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Speaker 1: That is what has happened.

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Speaker 3: Ye, yes, so it's just the whole thing on it

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Speaker 3: in Wired, which is like not to interrupt, keep going.

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Speaker 6: Oh yeah, so like so things happen that are just

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Speaker 6: like surreal, like Spider Man will just like get rolled

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Speaker 6: over by a steamroller or like you know, like because

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Speaker 6: there's a lot of trucks in Yeah, so it can

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Speaker 6: get into sort of like violence and grotesque things in

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Speaker 6: ways that like you wouldn't anticipate for something that clearly

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Speaker 6: is made to entertain toddlers or you know, small children.

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Speaker 6: I think that there is my senses that there is

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Speaker 6: less of it on YouTube, although well.

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Speaker 1: I actually started yeah, yeah.

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Speaker 6: There's sort of a distinction there of like there's less

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Speaker 6: of it on the YouTube kids app, which they have

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Speaker 6: actually sort of cleaned up quite a bit.

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Speaker 5: I think there's still a lot of like very bad.

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Speaker 6: Content on actual YouTube. But so you you clearly know

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Speaker 6: even more than I do.

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Speaker 1: Kurt, Well, apparently it is.

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Speaker 3: It's it's actually a lot of it out there as

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Speaker 3: machine generated and basically what it's doing is, uh, they're

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Speaker 3: like they crawl through. They have these bots that crawl

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Speaker 3: through and find out what gets hits, like what what

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Speaker 3: what keywords get hits for for kids videos, and then

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Speaker 3: it essentially like combines those words and then grabs images

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Speaker 3: and then makes these animations and then posts them and

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Speaker 3: it'll just be like like the one that you posted,

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Speaker 3: which is so insane. It was like Godzilla and Donkey

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Speaker 3: Kong and but then Godzilla like he gets melted and

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Speaker 3: he and then he gets put in a microwave and

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Speaker 3: he explodes, and then he gets run over by a

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Speaker 3: like a like a lawnmower and gets chopped up and

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Speaker 3: you see all the body parts. Like it's really insane,

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Speaker 3: but it's like a plastic it's supposed to be like

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Speaker 3: a melting plastic.

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Speaker 1: Godzilla.

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Speaker 3: But yeah, so this guy, it was a Wired article

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Speaker 3: from a way back, and it's what I think alerted

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Speaker 3: YouTube that like these things were getting put on YouTube.

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Speaker 3: And it's the main reason that I don't let my

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Speaker 3: kid watch the algorithm. I don't let him, let either

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Speaker 3: of them watch the YouTube algorithm. Like if they want

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Speaker 3: to watch YouTube, they have to go to like a

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Speaker 3: child content creator's page and they can watch the videos

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Speaker 3: on that page, but I won't let them run through

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Speaker 3: the algorithm because the if you come back, like you

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Speaker 3: come back in fifteen minutes when they're just like hitting

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Speaker 3: algorithms and all of a sudden, I'm just like, what

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Speaker 3: the fuck we watch? We're watching hamster mazes, We're watching

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Speaker 3: like just like animated balls going.

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Speaker 6: So yeah, yeah, there's a lot of I feel like

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Speaker 6: YouTube is the Like I have a five year old child,

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Speaker 6: so like he's very curious about YouTube and like creates it,

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Speaker 6: and like I made the mistake of in the early

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Speaker 6: days of the pandemic allowing him to you know, you know, I.

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Speaker 5: Sort of opened the Pandora's box, right.

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Speaker 1: Like I you know that we all do.

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Speaker 6: That was you know, those early days when it was like, hey, parents,

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Speaker 6: just make it through the next couple weeks, like all

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Speaker 6: rules are off for screen time.

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Speaker 5: It's okay, you know.

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Speaker 6: And I was like, okay, sure, like you can watch

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Speaker 6: YouTube whatever I'm trying to work here, and like not

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Speaker 6: realizing that it was like, first of all, you cannot.

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Speaker 5: You know, the course doesn't go back in the barn with.

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Speaker 6: This, right, Like yeah, my son still talks about something

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Speaker 6: he saw like two years ago, which was, uh, this

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Speaker 6: group of people call who make that channel called Nerf Patrol,

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Speaker 6: and it's like it's so horrible that it's like the

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Speaker 6: worst thing everybody like saw it. And he was like

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Speaker 6: so intrigued because it's like teenager shooting NERF guns, which like,

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Speaker 6: you know, so fun, very appealing to it at the time,

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Speaker 6: a three year old boy and still appealing to a

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Speaker 6: fire old boy.

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Speaker 5: And like I was like, no, you cannot watch this.

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Speaker 6: But it's really difficult to actually block something on adult YouTube,

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Speaker 6: Like you can block someone, but that only means that

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Speaker 6: like basically they can't look at your account, which is

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Speaker 6: like not particularly.

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Speaker 2: Your business. You already leave me alone. I'm over here

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Speaker 2: making content for me and me alone on a public space, right,

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Speaker 2: But it.

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Speaker 5: Was like not helpful.

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Speaker 6: If I was like I don't want my son to

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Speaker 6: be able to watch your videos.

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Speaker 5: You can do that on the YouTube kids app. It

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Speaker 5: has different functionality, But.

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Speaker 1: Yeah, I get it.

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Speaker 2: I remember watching the movie Roger Rabbit, you know, thirty

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Speaker 2: years ago. Oh, and there's a scene where Judge Doom

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Speaker 2: gets rolled over with us like a steamroller and then

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Speaker 2: he's super thin. It is an absolute scene out of

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Speaker 2: a horror movie. Like there's a scene in Pan's Labyrinth,

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Speaker 2: and I'm like, oh, that's just the Judge Doom getting

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Speaker 2: rolled over scene. And then he walks over and fills

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Speaker 2: himself up with air and his eyeballs pop out and

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Speaker 2: turn red and cartoonish and turn into daggers. And I'm like,

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Speaker 2: I could rewrite that scene for shot for shot thirty

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Speaker 2: years later, because it doesn't. When you're little, your mind

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Speaker 2: is like that magnet and it just grabs it and

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Speaker 2: it's like, well, this is out there in the world.

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Speaker 2: Now I know this part of it.

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Speaker 6: Yeah, I remember being really scared by it. There's a

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Speaker 6: scene in Roger Robbert where they.

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Speaker 5: They're like, he's boiling the tunes.

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Speaker 1: Yeah, the dip, Yeah, the dip.

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Speaker 5: Yeah. That was a really scary movie.

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Speaker 1: It was a scary movie.

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Speaker 2: Yeah, great movie.

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Speaker 3: So you guys want to hear about this, uh this

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Speaker 3: this QR quode that rickrolled.

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Speaker 2: I'm ready to laugh my buns off. Tell me about

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Speaker 2: this Rickroll.

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Speaker 3: This is uh this was on Texas is Life. I

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Speaker 3: found this one myself, guys, and it's by Are you

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Speaker 3: ready for this? It's by Texas writer.

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Speaker 2: Oh how'd they get him or her or them?

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Speaker 1: How did they get Texas rider, the best of the

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Speaker 1: biz for his life.

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Speaker 3: Someone just rickrolled the entire city of Dallas with a

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Speaker 3: massive floating QR code last night. As people partied in

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Speaker 3: the city of Dallas, a massive floating QR code beckoned

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Speaker 3: them to scan it after a pandemic where consumers were

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Speaker 3: trying to scan QR codes for restaurants and blah blah blah.

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Speaker 3: Without a doubt, thousands likely scanned this QR code. When

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Speaker 3: someone pointed their phone up at the sky and scanned

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Speaker 3: the code, they were then taken to the YouTube video

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Speaker 3: for Rick Astley's Never Going to Give You Up, a

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Speaker 3: classic internet prank known as the Rickroll or rickrolling. The

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Speaker 3: entire thing was a collaboration between fort Worth based Sky

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Speaker 3: Elements and rock Wall based Jared Goins, the guy behind

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Speaker 3: epic NERF battles.

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Speaker 1: Look at that. Whoa, it's a tie in. It's a

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Speaker 1: weird tie with your Nerf gang.

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Speaker 3: The thought of a fort Worth company rick rolling the

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Speaker 3: city of Dallas is sort of perfect when you think

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Speaker 3: about the history the two cities have, dating back over

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Speaker 3: one hundred years.

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Speaker 2: Yeah, of course, when you think about the history, I

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Speaker 2: mean the first place my mind goeses in the sky

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Speaker 2: what an epic continuation of the British ship.

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Speaker 1: Between the Dallas and Fort Worth?

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Speaker 5: Is there? I don't know enough about Texas history.

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Speaker 1: Is there some sort of I think it's just that

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Speaker 1: they're close to each other.

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Speaker 5: Okay, they're not like mortal enemies or something.

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Speaker 3: Maybe the thing is is, now that we've asked this question,

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Speaker 3: we personally will find out five thousand times yes.

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Speaker 1: In our da you guys don't. We don't really want

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Speaker 1: to know. We don't.

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Speaker 2: We don't don't. Loved biggest listenership will be there. You

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Speaker 2: can tell us in person, We're coming.

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Speaker 3: The QR Code was made up of three hundred drones

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Speaker 3: designed to perform light shows in the sky, and we're

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Speaker 3: visible people at Reunion Tower around downtown. According to Jared,

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Speaker 3: this is also the first time in history a rickroll

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Speaker 3: was successfully done with a floating QR code. Editor's note,

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Speaker 3: we have not verified this fact yet.

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Speaker 1: And that's how it ends.

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Speaker 3: Editor's note, we have not verified this fact yet. And

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Speaker 3: I watched the video and it is I love. I've

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Speaker 3: been wanting to do, man, I've been wanting to do

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Speaker 3: a drone joke in the sky since like since like

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Speaker 3: twenty twenty. I think I was like old school, I

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Speaker 3: actually got a quote for it, do you know, I

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Speaker 3: mean like those drone light shows are so expensive because

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Speaker 3: for those people who don't know, I did you know?

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Speaker 1: I mean, I'm sure most people do know.

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Speaker 3: But I long time ago sky wrote how a skywriter

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Speaker 3: right in the sky, how do I land over La?

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Speaker 3: And so Scotty and I have been trying to think

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Speaker 3: up other like big joke pranks for the Earth one.

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Speaker 3: Do you remember this one where we wanted it to

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Speaker 3: be a joke for the space station where we were going

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Speaker 3: to get like five hundred people to go into the

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Speaker 3: White Sands National Monument desert and then try and spell

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Speaker 3: something with their bodies see.

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Speaker 2: It from space. Yes, we did. We did consider that

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Speaker 2: we still could maybe do that.

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Speaker 5: What would you what would you have them spell?

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Speaker 1: We have to remember what we were trying to I

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Speaker 1: can't remember.

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Speaker 2: I'm sure we have notes somewhere off to dig back.

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Speaker 2: That's so that's a long time ago.

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Speaker 3: That was a long time but that would be a

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Speaker 3: fun idea. But I looked into doing a joke with

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Speaker 3: the drones because I was like, this would be nice

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Speaker 3: maybe for like it was like during the choir and

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Speaker 3: I was like for hospital workers, if you could like

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Speaker 3: outside like a major hospital in like New York City

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Speaker 3: or something, have just like a bunch of jokes in

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Speaker 3: the sky, And they started eighty thousand dollars for like

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Speaker 3: that all. Yeah, and that's not with like customization. That's

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Speaker 3: like for just like images that they already have pre

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Speaker 3: programmed into the five hundred drones.

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Speaker 1: Starts at eighty thousand. I was like, this is for

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Speaker 1: a hospital worker.

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Speaker 3: I've tried it, like your crowd footed on my ode

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Speaker 3: and I was like, I can't raise eighty thousand dollars. Well,

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Speaker 3: first off, I can't raise eighty thousand dollars, but if

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Speaker 3: I did, people would be like, you're an asshole for

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Speaker 3: spending eighty thousand dollars on a drone show for a

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Speaker 3: couple jokes.

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Speaker 2: Yeah. Yeah. When we were jet skiing down the Mississippi,

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Speaker 2: we had one of our producers, really nice dude. It

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Speaker 2: was like, guys, we have a GoPro and a drone.

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Speaker 2: We're gonna get some incredible aerial footage of Kurt going

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Speaker 2: down the river. And we're like, okay, do whatever you

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Speaker 2: got to do, and we all go out and start

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Speaker 2: gassing up or we're heading out into the river and

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Speaker 2: we see the drone lift off into the sky and

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Speaker 2: there's our producer on the bank of the river. And

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Speaker 2: the drone goes about fifty feet in the air, tilts

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Speaker 2: very hard to the right, the blade stops spinning and

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Speaker 2: it falls into the river and sinks to the bottom

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Speaker 2: and we got zero shots out of it. And what

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Speaker 2: he had done is he had charged the drone all

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Speaker 2: night to get ready, but he forgot to put battery,

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Speaker 2: like new batteries in the remote control, so it just

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Speaker 2: completely lost signal. Was like no, And then he didn't

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Speaker 2: put bobbers on it, which I guess when you're flying

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Speaker 2: over the water, you're supposed to put something floating on it.

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Speaker 2: So that whatever three hundred or four hundred dollars drone

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Speaker 2: just it flew.

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Speaker 3: Through that a long time ago. That was like a

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Speaker 3: twelve thousand dollars drone. Oh fun, yeah, yeah yeah, And

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Speaker 3: it would have been it would have been a big

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Speaker 3: fight with Comedy Central be like, we really need a drone,

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Speaker 3: we really need a drone, and they're like, we're you're

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Speaker 3: not going to get it. And then finally they like

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Speaker 3: gave into it and it just went to the bottom

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Speaker 3: of the Mississippi.

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Speaker 2: It flew majestically for eight to ten seconds and then

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Speaker 2: went in and we were like what happened? And he's like,

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Speaker 2: I don't. Oh, they're the remote. It's the Miro control.

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Speaker 2: So for drone lovers out there, I always remember your

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Speaker 2: remote has batteries too.

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Speaker 3: Oh man, Katie, have you ever what what is your favorite?

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Speaker 3: What is your favorite Internet meme or Internet prank or anything?

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Speaker 6: Gosh an internet prank? I feel like that. That seems

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Speaker 6: like something that I like doing. I mean, you know,

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Speaker 6: I like Updog.

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Speaker 1: Yeah, gotta like wepdog kind of like up Wa mean

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Speaker 1: as a person, I don't think I know up Dog.

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Speaker 5: Wait, you don't know up Dog?

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Speaker 2: You don't know up Dog? I wait? Are you joking? No?

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Speaker 1: I don't know up Dog. I don't think I know

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Speaker 1: up Dog? What's up dog?

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Speaker 2: There we go?

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Speaker 5: I know what's up with you?

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Speaker 2: There we go? That was a long way to get there.

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Speaker 2: I said a lot of different variations of what's up dog?

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Speaker 2: I'm unfamiliar with?

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Speaker 1: Wait, did you really not know this?

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Speaker 5: Or you just be nice and trying to set me

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Speaker 5: set us up here?

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Speaker 1: No? I didn't get it. I didn't get it. On

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Speaker 1: a dumb, dumb. I'm a big stupid I.

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Speaker 5: Feel overjoyed by that.

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Speaker 2: Fantastic.

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Speaker 5: Yeah, it did take a long time.

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Speaker 1: To get a lot of versions of it. Oh, I

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Speaker 1: don't think I'm familiar with up dog. It was a thing.

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Speaker 1: Does everyone know about up dog?

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Speaker 6: You know? I mean, like as far as an Internet pranks,

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Speaker 6: sometimes you see like especially sort of like on Twitter

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Speaker 6: or in like because that's sort of where you maybe

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Speaker 6: have a little bit more dialogue with people, but like

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Speaker 6: trying to trick some loathsome person into falling for updog

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Speaker 6: is always it's fun to see.

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Speaker 1: Wait, is it just on Twitter? You just write Updog?

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Speaker 6: No, it would be like you would trick someone kind

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Speaker 6: of like this, Like you would, you know, say, like,

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Speaker 6: you know, mister Trump, what do you think of the

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Speaker 6: latest updog policies?

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Speaker 5: And you would trick him into So.

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Speaker 1: It's always in person, it's always.

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Speaker 6: No, no, no, you would do like on Twitter, so somewhere,

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Speaker 6: you know, you could then you know, maybe in some

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Speaker 6: comment form.

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Speaker 1: I don't know, Okay, I can't believe that.

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Speaker 6: An Internet trank, although I guess it's a I guess

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Speaker 6: it's an in person prager.

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Speaker 5: I guess that's how like warped my mind?

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Speaker 6: Is that like something that is like clearly supposed to

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Speaker 6: be something you say to a human's face.

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Speaker 5: I'm like, yeah, that's an Internet PreK and shakes. What

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Speaker 5: a crazy internet prank.

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Speaker 6: I feel like it's something though that I see a

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Speaker 6: lot on or maybe I used to see a lot

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Speaker 6: on on Twitter.

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Speaker 2: Saying on I think it was maybe another video podcast

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Speaker 2: the Bad Art Friend situation, which isn't exactly a prank,

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Speaker 2: but that is so fascinating, Kurt. You know that story

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Speaker 2: right about, like the the Facebook post where somebody donated

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Speaker 2: a kidney and then somebody else ended up writing like

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Speaker 2: a book about that that character, and then it became

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Speaker 2: a whole lawsuit. Do you know the I don't know.

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Speaker 1: I don't know it. I don't know it, Katie tell us.

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Speaker 5: Yeah, well that was a good prank. So someone so

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Speaker 5: there was like a long I think it was in

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Speaker 5: New York Magazine or New York Times. No, it was

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Speaker 5: New York Times writing. It was some it played out

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Speaker 5: in a lawsuit, which is how it sort of I

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Speaker 5: got this far.

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Speaker 6: But it was sort of in this sort of niche,

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Speaker 6: small literary world of like people who go on Writer's

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Speaker 6: retreats and write short stories, which is like, you know,

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Speaker 6: is like a sort of subset of people who, right,

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Speaker 6: I don't know, that's not like necessarily something I'm super

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Speaker 6: familiar with. But so somebody had it within some group

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Speaker 6: they were all based out of Boston, had like shared

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Speaker 6: some news that she's like, I've decided to donate my

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Speaker 6: kidney to a stranger.

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Speaker 2: And just like I'm going to give a kidney. Okay,

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Speaker 2: nobody asked for this kid.

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Speaker 5: Okay, right, which is, you know, a great thing.

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Speaker 6: You can do it right now, Kurt, you know you've

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Speaker 6: got two kidneys, just give one away.

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Speaker 5: Frankly, you're rude if you don't.

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Speaker 1: He doesn't even need one.

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Speaker 5: And yeah, and I guess so she like made a

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Speaker 5: special Facebook.

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Speaker 6: Group's little like you know, hyping up how like generous

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Speaker 6: or donation was a little like too much.

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Speaker 5: And my sense is that like.

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Speaker 6: Every all the other people in this like group sort

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Speaker 6: of thought she was kind of like a weirdo anyways,

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Speaker 6: and like thought she was like kind.

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Speaker 5: Of annoying, and like.

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Speaker 6: One of the people who was in that group started

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Speaker 6: writing a short story that was like loosely based on

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Speaker 6: this woman's life, where the premise was that like a

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Speaker 6: woman donates a kidney and then like it's kind of

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Speaker 6: like a little bit weird about it. And then when

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Speaker 6: the kidney donation woman discovered this, she got really mad,

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Speaker 6: and like the lawsuit involved that it had gotten so

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Speaker 6: far that the woman actually plagiarized some like like copied

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Speaker 6: verbatim some of the like things that the kidney donor

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Speaker 6: had written in like Facebook posts about like how awesome

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Speaker 6: her kidney donation was, and so sort of went on

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Speaker 6: and on, and it was just sort of this fascinating

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Speaker 6: war of like two absolutely awful people. Like it was

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Speaker 6: really fascinating to sort of unpack because it was, yeah,

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Speaker 6: they were both dreadful in different and interesting, interestingly different ways.

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Speaker 3: But also that's a that's an interesting question, like if

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Speaker 3: you copy something someone wrote in the real world and

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Speaker 3: put it in a book, is that is that plagiarizing,

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Speaker 3: Because plagiarizing would be if the person wrote it in

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Speaker 3: a book and then you copied it out of a

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Speaker 3: book and put it in another book. But if you're

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Speaker 3: just actually documenting what a person said, yes, and especially

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Speaker 3: a fictional character. But yeah, that was like why there

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Speaker 3: was a lawsuit about it. It was like are they stealing?

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Speaker 3: Is this about me? Is this stealing my rights? And

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Speaker 3: it went on for like years.

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Speaker 6: Yeah, I mean I think that it probably had to

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Speaker 6: do with that, like that the woman was also unhappy

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Speaker 6: about it and was a fellow writer. You know, it

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Speaker 6: wasn't necessarily like a straightforward copyright issue.

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Speaker 1: Right right, right.

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Speaker 5: I think she was also trying to basically sort of like.

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Speaker 6: The woman's short stories going to be published in some

445
00:21:54,280 --> 00:21:56,600
Speaker 6: festival and you know, in a book, and she was

446
00:21:56,640 --> 00:21:59,320
Speaker 6: sort of scaring off the publishers and the other people

447
00:21:59,400 --> 00:22:02,000
Speaker 6: in the literally from having to deal with the lawsuits

448
00:22:02,000 --> 00:22:02,919
Speaker 6: and stuff.

449
00:22:04,480 --> 00:22:06,800
Speaker 2: And there everybody's got to read it. It's crazy.

450
00:22:06,880 --> 00:22:10,040
Speaker 6: Yeah, And there's been like a bunch of follow ups,

451
00:22:10,040 --> 00:22:13,400
Speaker 6: like somebody went through the actual lawsuit, and I think

452
00:22:13,440 --> 00:22:16,399
Speaker 6: the original article made the kidney donor seem like the

453
00:22:16,480 --> 00:22:18,720
Speaker 6: real villain and the other person seem like less of

454
00:22:18,720 --> 00:22:25,200
Speaker 6: a villain. And then sort of in subsequent uh, more

455
00:22:25,280 --> 00:22:28,879
Speaker 6: information came out, especially details from the lawsuit that maybe

456
00:22:29,160 --> 00:22:31,560
Speaker 6: made the kidney donor seem a little bit more sympathetic

457
00:22:31,600 --> 00:22:33,639
Speaker 6: and a little bit more of a victim. And basically

458
00:22:33,640 --> 00:22:36,320
Speaker 6: it was kind of being like made fun of behind

459
00:22:36,359 --> 00:22:38,360
Speaker 6: her back by people or her friends.

460
00:22:40,800 --> 00:22:43,840
Speaker 2: It is so fascinating. I love that kind of stuff.

461
00:22:43,880 --> 00:22:45,720
Speaker 2: It just got so carried away. But it's also the

462
00:22:45,760 --> 00:22:49,520
Speaker 2: way that, like anything online, just elevates and escalates so quickly,

463
00:22:49,560 --> 00:22:52,119
Speaker 2: where people it's like, oh, if you're just looking at

464
00:22:52,119 --> 00:22:53,880
Speaker 2: somebody and they say something, you're like, okay, I get

465
00:22:53,880 --> 00:22:56,280
Speaker 2: the context being And now somebody writes one thing, and

466
00:22:56,280 --> 00:22:58,600
Speaker 2: then everybody just rolls their eyes. It's like, done with it.

467
00:22:58,720 --> 00:23:02,359
Speaker 2: Hate this person. It's the world we live in. I

468
00:23:02,400 --> 00:23:03,919
Speaker 2: have one about a villain. You guys want to hear

469
00:23:03,920 --> 00:23:09,000
Speaker 2: a story. Hey, pizza shop workers take down armed robber

470
00:23:09,560 --> 00:23:13,440
Speaker 2: only to find out it's their former boss. This was

471
00:23:13,480 --> 00:23:15,639
Speaker 2: sent in by Betsy Allen. Thank you, Betsy Allen. This

472
00:23:15,800 --> 00:23:20,080
Speaker 2: was written by the one and only Joymarcel on CNN

473
00:23:20,160 --> 00:23:21,200
Speaker 2: dot com.

474
00:23:21,280 --> 00:23:22,600
Speaker 1: Rest in the best.

475
00:23:23,040 --> 00:23:26,360
Speaker 2: She is so good at writing stories about pizza shop workers.

476
00:23:26,359 --> 00:23:29,800
Speaker 2: A former pizza shop employee in Massachusetts is accused of

477
00:23:29,840 --> 00:23:33,639
Speaker 2: trying to rob his old workplace. Copsay a man wearing

478
00:23:33,680 --> 00:23:35,480
Speaker 2: a mask and carrying what turned out to be a

479
00:23:35,520 --> 00:23:39,320
Speaker 2: fake gun walked into Northeast Pizza on I'm guessing it's

480
00:23:39,400 --> 00:23:43,640
Speaker 2: bar could be bare on Tuesday. According to CNN, affiliate

481
00:23:43,760 --> 00:23:49,600
Speaker 2: WCVB Boston. I'm guessing surveillance video shows the man climbing

482
00:23:49,640 --> 00:23:51,320
Speaker 2: over the counter and forcing one of the workers to

483
00:23:51,320 --> 00:23:55,080
Speaker 2: help him open the register. Instead, employees wrestled the man

484
00:23:55,200 --> 00:23:57,639
Speaker 2: to the floor and pinned him down until police arrived.

485
00:23:57,840 --> 00:24:01,800
Speaker 2: Crazy crazy quote. I was just frozen in my tracks.

486
00:24:02,080 --> 00:24:03,760
Speaker 2: I didn't have time to think about a plan or

487
00:24:03,800 --> 00:24:06,119
Speaker 2: anything like that, so I just reacted and quote to

488
00:24:06,280 --> 00:24:10,360
Speaker 2: pizza shop employee Trevor Cosla. When police arrived, they took

489
00:24:10,359 --> 00:24:13,000
Speaker 2: off the intruder's mask, and employees recognized that would be

490
00:24:13,119 --> 00:24:16,640
Speaker 2: robber as their former manager, who had been fired last summer.

491
00:24:16,920 --> 00:24:19,480
Speaker 2: The suspect reportedly told police the robbery was meant to

492
00:24:19,520 --> 00:24:23,080
Speaker 2: be a joke. What a funny joke, You know, when

493
00:24:23,080 --> 00:24:25,159
Speaker 2: you're masked and you run in with a gun and

494
00:24:25,240 --> 00:24:27,960
Speaker 2: jump over the counter and open What a funny joke. Fuck,

495
00:24:28,359 --> 00:24:31,840
Speaker 2: police and the former colleagues are not laughing.

496
00:24:33,359 --> 00:24:36,359
Speaker 3: Wow Wow, I like that they The way the article

497
00:24:36,440 --> 00:24:38,679
Speaker 3: is written definitely makes it seem like they left the

498
00:24:38,760 --> 00:24:41,920
Speaker 3: mask on until the cops got there, and then scooby

499
00:24:41,960 --> 00:24:46,520
Speaker 3: Doo removed it, you know, like pulled it directly from

500
00:24:46,560 --> 00:24:48,080
Speaker 3: the top, popped it off.

501
00:24:48,160 --> 00:24:53,440
Speaker 2: You know, his hair's all weird, and oh man, it's

502
00:24:53,480 --> 00:24:56,120
Speaker 2: so good. I love that. It was like, of all,

503
00:24:56,640 --> 00:24:59,080
Speaker 2: he knew where the register was, he knew about what

504
00:24:59,119 --> 00:25:01,200
Speaker 2: they made every night. But don't you think you would

505
00:25:01,200 --> 00:25:04,120
Speaker 2: recognize somebody's voice or body language.

506
00:25:04,119 --> 00:25:06,480
Speaker 3: Even like I think on an maybe it's the reason

507
00:25:06,520 --> 00:25:08,320
Speaker 3: that they attacked him, Do you know what I mean?

508
00:25:08,440 --> 00:25:11,679
Speaker 3: Like you, I think unconsciously you would like recognize people's

509
00:25:11,760 --> 00:25:14,160
Speaker 3: smells and stuff like that. They're just like, this isn't

510
00:25:14,480 --> 00:25:18,840
Speaker 3: a threat. I know this dork, like I could take him.

511
00:25:20,080 --> 00:25:22,600
Speaker 3: I remember I worked at Domino's. Did I ever talk

512
00:25:22,640 --> 00:25:25,480
Speaker 3: about the fact that my manager at Dominoes sold weed

513
00:25:26,000 --> 00:25:27,920
Speaker 3: and that we will do you ever talk about I

514
00:25:27,960 --> 00:25:31,119
Speaker 3: don't know. So I was maybe eighteen. I think I

515
00:25:31,160 --> 00:25:32,800
Speaker 3: was eighteen. It was before I went to college, summer

516
00:25:32,800 --> 00:25:37,120
Speaker 3: before I went to college. And my manager was my

517
00:25:37,119 --> 00:25:41,120
Speaker 3: my ex girlfriend's former boyfriend.

518
00:25:42,000 --> 00:25:44,400
Speaker 2: Girlfriend's previous boyfriend was your boss.

519
00:25:44,520 --> 00:25:48,560
Speaker 1: So I knew who he was and he was my boss.

520
00:25:48,600 --> 00:25:52,920
Speaker 3: And he was a fucking dick, sorry for my language,

521
00:25:53,520 --> 00:25:57,280
Speaker 3: and he sold weed, but he would let us. We

522
00:25:57,680 --> 00:26:01,320
Speaker 3: would get stoned at work together. But you know, it's

523
00:26:01,359 --> 00:26:04,320
Speaker 3: a Domino, so it's like a plate glass window, you know,

524
00:26:04,680 --> 00:26:06,880
Speaker 3: and you can see all the way to the back

525
00:26:06,920 --> 00:26:09,639
Speaker 3: of the store. It's like, so it's like the only

526
00:26:09,720 --> 00:26:13,640
Speaker 3: place to smoke weed is that we would stand behind

527
00:26:13,800 --> 00:26:17,000
Speaker 3: the pizza oven because that's the only place to and

528
00:26:17,040 --> 00:26:20,120
Speaker 3: then we would blow the pot smoke over the pizzas

529
00:26:20,160 --> 00:26:21,920
Speaker 3: and then it would get sucked up into the vent

530
00:26:22,000 --> 00:26:26,760
Speaker 3: and taken out through the roof. And then and I'm

531
00:26:26,800 --> 00:26:29,840
Speaker 3: sure I told you this, this story a victimless crime.

532
00:26:31,200 --> 00:26:32,960
Speaker 3: But he was supposed to give me a joint. He

533
00:26:33,119 --> 00:26:35,119
Speaker 3: all the whole shift, he was supposed to give me

534
00:26:35,200 --> 00:26:36,720
Speaker 3: a joint. And then we got to call it like

535
00:26:36,760 --> 00:26:38,440
Speaker 3: two in the morning, and I was like, don't take

536
00:26:38,440 --> 00:26:40,160
Speaker 3: the call. It's two in the morning. We close it too,

537
00:26:40,400 --> 00:26:42,439
Speaker 3: and he like took the call. I went and delivered

538
00:26:42,440 --> 00:26:44,200
Speaker 3: the pizza. The guy didn't tip me, so I gave

539
00:26:44,280 --> 00:26:46,439
Speaker 3: him the finger as I was driving away, and the

540
00:26:46,480 --> 00:26:50,320
Speaker 3: guy called and like complained even though it was two

541
00:26:50,359 --> 00:26:52,480
Speaker 3: in the morning, and he stiffed me on a tip.

542
00:26:52,880 --> 00:26:54,760
Speaker 3: And then he was like, you know that joint I

543
00:26:54,800 --> 00:26:55,479
Speaker 3: was going to give you.

544
00:26:55,800 --> 00:26:57,359
Speaker 1: Yeah, I'm not giving it to you.

545
00:26:57,680 --> 00:27:03,760
Speaker 3: And I was like, I want to quit so bad, right, Yeah.

546
00:27:02,760 --> 00:27:05,480
Speaker 2: But I didn't. Yeah, you're a good kid. You were

547
00:27:05,480 --> 00:27:09,320
Speaker 2: a good teenager early Uber, early lift. I remember a

548
00:27:09,400 --> 00:27:11,440
Speaker 2: couple of times saying like the person when we would

549
00:27:11,480 --> 00:27:12,879
Speaker 2: drop a group of us off at a party, like

550
00:27:12,880 --> 00:27:14,600
Speaker 2: do you want to come in? And like twice people

551
00:27:14,640 --> 00:27:17,240
Speaker 2: were like yeah, sure, and then like just some usc

552
00:27:17,280 --> 00:27:19,439
Speaker 2: college dude driving uber just came and joined us at

553
00:27:19,480 --> 00:27:22,040
Speaker 2: the party for a few hours. Like like now, that

554
00:27:22,119 --> 00:27:24,480
Speaker 2: seems absolutely insane, but it was so novel at the time.

555
00:27:24,600 --> 00:27:25,600
Speaker 2: We were like, what are you up to? Do you

556
00:27:25,640 --> 00:27:26,919
Speaker 2: want to come and have a beer and they'd be

557
00:27:26,920 --> 00:27:29,159
Speaker 2: like yeah, okay, they're just coming.

558
00:27:29,200 --> 00:27:32,720
Speaker 3: And do you have any early you have any early

559
00:27:32,920 --> 00:27:35,480
Speaker 3: early jobs or bad jobs you never had?

560
00:27:36,520 --> 00:27:36,760
Speaker 5: Well?

561
00:27:36,800 --> 00:27:38,840
Speaker 6: You know this The pizza story kind of reminds me

562
00:27:38,920 --> 00:27:42,960
Speaker 6: something similar happened to me when I was at a

563
00:27:43,040 --> 00:27:46,280
Speaker 6: teenage job when I was I guess it was I

564
00:27:46,320 --> 00:27:47,919
Speaker 6: must have been the same as Sukers I was.

565
00:27:48,000 --> 00:27:50,080
Speaker 5: It was, I was, I guess eighteen. It was the

566
00:27:50,119 --> 00:27:53,840
Speaker 5: summer after call or after high school school.

567
00:27:54,240 --> 00:27:58,120
Speaker 6: I worked at a summer job at a Starbucks and

568
00:27:58,320 --> 00:28:03,240
Speaker 6: the current assistant manager robbed the safe during like not

569
00:28:03,240 --> 00:28:07,040
Speaker 6: not his shift, but one of them, Like wow, and

570
00:28:07,280 --> 00:28:09,280
Speaker 6: they caught him but.

571
00:28:09,440 --> 00:28:10,240
Speaker 5: It was sort of weird.

572
00:28:10,240 --> 00:28:12,200
Speaker 6: So it was like he was it was his day off,

573
00:28:12,320 --> 00:28:14,680
Speaker 6: and he came in he just you know, which didn't

574
00:28:14,680 --> 00:28:15,320
Speaker 6: seem that weird.

575
00:28:15,320 --> 00:28:16,560
Speaker 5: And I was working that night.

576
00:28:17,000 --> 00:28:19,159
Speaker 6: He came in, went in the back, and only like

577
00:28:19,200 --> 00:28:22,159
Speaker 6: I think only a few people had you know, access

578
00:28:22,200 --> 00:28:22,960
Speaker 6: to the safe or whatever.

579
00:28:23,000 --> 00:28:24,360
Speaker 5: He just cleaned out the safe.

580
00:28:24,760 --> 00:28:28,640
Speaker 6: Oh yeah, you know, took the cash or whatever, and

581
00:28:28,760 --> 00:28:31,200
Speaker 6: so you know, I guess the next day they discovered

582
00:28:31,200 --> 00:28:32,159
Speaker 6: there was no money.

583
00:28:31,880 --> 00:28:35,600
Speaker 2: In the back, just counting the ban.

584
00:28:38,640 --> 00:28:41,480
Speaker 6: But they had me like go down to like corporate

585
00:28:41,560 --> 00:28:45,640
Speaker 6: headquarters to sort of be like interw you know, interviewed

586
00:28:45,720 --> 00:28:49,400
Speaker 6: about it. And it was sort of I had like

587
00:28:50,080 --> 00:28:52,280
Speaker 6: you know, I was like a teenager, and so it

588
00:28:52,360 --> 00:28:53,080
Speaker 6: was like a little scared.

589
00:28:53,160 --> 00:28:54,640
Speaker 5: I was a little scared of like do they think

590
00:28:54,680 --> 00:28:58,160
Speaker 5: that I did it, like because I was working that night,

591
00:28:58,280 --> 00:28:59,840
Speaker 5: Like I didn't have access to the safe. But I

592
00:28:59,840 --> 00:29:01,360
Speaker 5: was like kind of you know, nervous.

593
00:29:02,320 --> 00:29:03,960
Speaker 6: It was something that I was thinking about a little

594
00:29:03,960 --> 00:29:07,720
Speaker 6: bit in the recent news about the last couple of months,

595
00:29:07,720 --> 00:29:10,720
Speaker 6: like Starbucks has a couple of the Starbucks branches, not

596
00:29:10,800 --> 00:29:13,280
Speaker 6: the company wide, have unionized.

597
00:29:12,880 --> 00:29:16,520
Speaker 5: Yes, which is you know a great thing and like

598
00:29:16,720 --> 00:29:17,400
Speaker 5: it occurred.

599
00:29:17,440 --> 00:29:19,800
Speaker 6: You know, it's great because they can bargain for better

600
00:29:19,840 --> 00:29:22,280
Speaker 6: wages and protection and hours and things like that. And

601
00:29:22,560 --> 00:29:24,160
Speaker 6: one of the things I was thinking about, I was like, man,

602
00:29:24,200 --> 00:29:28,520
Speaker 6: you're like weird stuff like this does happen where us

603
00:29:28,600 --> 00:29:31,560
Speaker 6: a worker would want to have sort of like you know,

604
00:29:31,880 --> 00:29:34,280
Speaker 6: I demand my union rep come with me if you're

605
00:29:34,280 --> 00:29:36,800
Speaker 6: going to go in, you know, trot me down to

606
00:29:36,840 --> 00:29:40,560
Speaker 6: corporate headquarters to grill me about what happened with the

607
00:29:40,640 --> 00:29:46,120
Speaker 6: robbery that like I didn't do, you know, so you know, good,

608
00:29:46,240 --> 00:29:49,640
Speaker 6: good for the Starbucks that are unionized, and you know,

609
00:29:50,520 --> 00:29:52,200
Speaker 6: hopefully more of them will be.

610
00:29:52,600 --> 00:29:52,840
Speaker 1: Yeah.

611
00:29:53,000 --> 00:29:55,760
Speaker 3: I also wonder about that guy where it was just

612
00:29:55,800 --> 00:29:59,800
Speaker 3: like was he just like fully aware that he would

613
00:29:59,840 --> 00:30:02,479
Speaker 3: be and was just like too bad. I need the money,

614
00:30:02,720 --> 00:30:04,440
Speaker 3: like I got to get there, But it couldn't have

615
00:30:04,440 --> 00:30:06,640
Speaker 3: been enough money to like escape to Mexico or.

616
00:30:06,560 --> 00:30:09,240
Speaker 1: Something, you know, because it would have only a grand

617
00:30:09,320 --> 00:30:09,760
Speaker 1: or something.

618
00:30:10,040 --> 00:30:12,560
Speaker 5: Yeah, I mean, yeah.

619
00:30:12,360 --> 00:30:15,120
Speaker 6: I mean it was like a busy location, but like

620
00:30:15,720 --> 00:30:17,240
Speaker 6: off the top of my head, I don't think that,

621
00:30:17,400 --> 00:30:21,360
Speaker 6: you know, five grand seems yeah, like five grand or less.

622
00:30:21,400 --> 00:30:23,120
Speaker 1: I feel like and yeah, I.

623
00:30:23,160 --> 00:30:25,160
Speaker 5: Mean I remember it very vividly because it's such an

624
00:30:25,200 --> 00:30:27,000
Speaker 5: odd thing, like he sort of I.

625
00:30:27,000 --> 00:30:28,880
Speaker 6: Mean, he was just sort of like I don't know,

626
00:30:28,920 --> 00:30:30,680
Speaker 6: he was probably I mean, he's older than me, but

627
00:30:30,720 --> 00:30:34,720
Speaker 6: he's probably in his earlier mid twenties and like kind

628
00:30:34,720 --> 00:30:37,000
Speaker 6: of like a schlubby guy and just kind of like

629
00:30:37,160 --> 00:30:39,440
Speaker 6: just you know, just happened to like come in in

630
00:30:39,480 --> 00:30:42,720
Speaker 6: the middle of his day off, like which like honestly

631
00:30:42,720 --> 00:30:44,040
Speaker 6: didn't seem that weird.

632
00:30:44,560 --> 00:30:47,120
Speaker 5: Like I don't know, like I'm sure that.

633
00:30:46,960 --> 00:30:49,680
Speaker 1: That had of it here or like it wasn't like

634
00:30:49,720 --> 00:30:50,400
Speaker 1: he was like I'm.

635
00:30:50,240 --> 00:30:51,160
Speaker 5: Coming into work. You know.

636
00:30:51,200 --> 00:30:52,560
Speaker 6: It was the kind of thing like, oh, maybe he

637
00:30:52,680 --> 00:30:55,520
Speaker 6: like forgot his jacket and he left it behind and you.

638
00:30:55,480 --> 00:30:58,320
Speaker 5: Know in the you know, lives in the neighborhood.

639
00:30:58,440 --> 00:31:03,040
Speaker 2: You know, I don't know, we've all forgotten yeah somewhere.

640
00:31:03,080 --> 00:31:04,040
Speaker 5: But I remember him.

641
00:31:03,880 --> 00:31:06,720
Speaker 6: Just being really like casual about it, like, hey, guys,

642
00:31:06,720 --> 00:31:09,160
Speaker 6: what's ups going in the back? You know, and then

643
00:31:09,240 --> 00:31:10,960
Speaker 6: like and no one sort of questioned it or thought

644
00:31:10,960 --> 00:31:13,040
Speaker 6: it was weird at the time, and then the next morning,

645
00:31:13,240 --> 00:31:17,840
Speaker 6: like you know, the manager was like what happened? Less,

646
00:31:19,640 --> 00:31:21,800
Speaker 6: I feel like my memories it was even lessn it

647
00:31:21,880 --> 00:31:24,520
Speaker 6: was like fifteen hundred dollars or something. Yeah, like I

648
00:31:24,560 --> 00:31:27,120
Speaker 6: want to guess, so too not worth like going to

649
00:31:27,240 --> 00:31:28,720
Speaker 6: jail for right.

650
00:31:29,240 --> 00:31:31,320
Speaker 1: Yeah, I showed up for work.

651
00:31:31,360 --> 00:31:33,240
Speaker 2: I used to work at two Boots in Park Slope,

652
00:31:33,360 --> 00:31:35,960
Speaker 2: and I showed up for to wait tables and they

653
00:31:35,960 --> 00:31:38,200
Speaker 2: were like, hey, oh, I should think of a fake name.

654
00:31:38,200 --> 00:31:41,440
Speaker 2: We're gonna call her mary Anne. Marianne didn't show up tonight,

655
00:31:41,560 --> 00:31:43,040
Speaker 2: and I was like, okay, so you're gonna have to

656
00:31:43,080 --> 00:31:44,760
Speaker 2: cover both those sections. I was like, you got it.

657
00:31:45,200 --> 00:31:49,600
Speaker 2: And then the store that transpired was the day before.

658
00:31:49,840 --> 00:31:52,360
Speaker 2: Mary Anne had asked the owners of the restaurant if

659
00:31:52,400 --> 00:31:54,720
Speaker 2: they if she could borrow their minivan to help move

660
00:31:54,760 --> 00:31:57,240
Speaker 2: from Queen's to Brooklyn. She got a new apartment. They said,

661
00:31:57,280 --> 00:32:01,920
Speaker 2: of course, so they take the Dodge minivan and then

662
00:32:02,560 --> 00:32:04,040
Speaker 2: she was supposed to return it to the next day

663
00:32:04,120 --> 00:32:06,720
Speaker 2: and instead one of the owners gets a call that

664
00:32:06,800 --> 00:32:09,880
Speaker 2: she's in jail in Philadelphia. So she had driven down

665
00:32:09,880 --> 00:32:13,239
Speaker 2: to Philadelphia in a borrowed mini van. This was her

666
00:32:13,240 --> 00:32:18,240
Speaker 2: plan all along, and Marianne went out and got annihilated

667
00:32:18,280 --> 00:32:21,320
Speaker 2: drunk and got in the van and then crashed into

668
00:32:21,600 --> 00:32:24,320
Speaker 2: a light pole in downtown Philly and the light pole

669
00:32:24,400 --> 00:32:26,560
Speaker 2: fell over, So she knocked a light pole over. Oh

670
00:32:26,640 --> 00:32:30,920
Speaker 2: my god. And then the police were nearby and were alerted.

671
00:32:31,040 --> 00:32:34,200
Speaker 2: And then fleeing the scene, she drove into the cop car.

672
00:32:34,320 --> 00:32:37,160
Speaker 2: She drove directly into the cover. So this so the

673
00:32:37,200 --> 00:32:39,600
Speaker 2: owner was such a nice guy that he drove down

674
00:32:39,600 --> 00:32:42,400
Speaker 2: to Philly and got her out of jail. But then

675
00:32:42,440 --> 00:32:45,320
Speaker 2: he did this sort of masterful thing, which might sound

676
00:32:45,360 --> 00:32:47,560
Speaker 2: cruel at first, but it really because we were all

677
00:32:47,600 --> 00:32:49,800
Speaker 2: finding this out in real time, Like the bartenders were

678
00:32:49,840 --> 00:32:51,560
Speaker 2: like answering the phone and it would be like, do

679
00:32:51,560 --> 00:32:54,719
Speaker 2: you have a call from Philadelphia Penitentiary, And it was

680
00:32:54,800 --> 00:32:59,560
Speaker 2: like this poor girl. And so the owner not only

681
00:32:59,560 --> 00:33:01,560
Speaker 2: went down picked her up and got her out of prison,

682
00:33:01,640 --> 00:33:03,760
Speaker 2: he drove her back up and then he drove directly

683
00:33:03,800 --> 00:33:07,120
Speaker 2: to the restaurant and made her walk into the restaurant

684
00:33:07,240 --> 00:33:10,600
Speaker 2: and like face everybody, because instead of everybody just gossiping

685
00:33:10,640 --> 00:33:12,760
Speaker 2: about her for several days, he was like, we're gonna

686
00:33:12,760 --> 00:33:15,000
Speaker 2: take you right there. You're gonna walk into the kitchen

687
00:33:15,240 --> 00:33:17,920
Speaker 2: everybody already knows. And she's like, she's crying when she

688
00:33:18,000 --> 00:33:20,440
Speaker 2: gets in there. But then like the other owner gave

689
00:33:20,480 --> 00:33:22,440
Speaker 2: her a big hug, and everybody's like, are you okay?

690
00:33:22,800 --> 00:33:24,920
Speaker 2: But it was like the weirdest, Like it was like

691
00:33:25,000 --> 00:33:27,200
Speaker 2: Circe in a Game of Thrones. I was like, you're

692
00:33:27,240 --> 00:33:30,000
Speaker 2: gonna have to face the whole town. You did something

693
00:33:30,120 --> 00:33:32,840
Speaker 2: real bad. But it was I was like, why did

694
00:33:32,880 --> 00:33:34,480
Speaker 2: you do that? And everybody's like, can you believe she

695
00:33:34,560 --> 00:33:36,640
Speaker 2: did that? Can believe Marion did that? I'm like yeah,

696
00:33:36,760 --> 00:33:38,840
Speaker 2: because one time we were all just hanging out telling

697
00:33:38,840 --> 00:33:40,760
Speaker 2: ghost stories and she said she used to see Civil

698
00:33:40,800 --> 00:33:43,400
Speaker 2: War ghosts shooting at each other and her dad's back long,

699
00:33:43,880 --> 00:33:46,640
Speaker 2: so that makes a lot of sense. Except she was

700
00:33:46,640 --> 00:33:50,640
Speaker 2: from Florida, so, you know, not exactly the most honest

701
00:33:50,640 --> 00:33:52,800
Speaker 2: person I've ever worked with, but it was sort of

702
00:33:52,880 --> 00:33:55,720
Speaker 2: masterful to like, instead of letting the gossip wheel spin

703
00:33:55,880 --> 00:33:59,040
Speaker 2: for a week, just like, get in there, let everybody

704
00:33:59,080 --> 00:34:01,920
Speaker 2: see you, tell us your point of view. But yeah,

705
00:34:01,960 --> 00:34:03,800
Speaker 2: she stole a van, got drunk, and crashed into a

706
00:34:03,880 --> 00:34:04,440
Speaker 2: lightning cop.

707
00:34:04,800 --> 00:34:07,520
Speaker 6: I feel like, whenever I know anyone who's like, yeah,

708
00:34:07,520 --> 00:34:09,640
Speaker 6: I've got to go down to Philadelphia, like I assume

709
00:34:09,640 --> 00:34:11,759
Speaker 6: they're doing it in the stolen minivan and they're gonna

710
00:34:11,760 --> 00:34:12,799
Speaker 6: crash it drop.

711
00:34:12,719 --> 00:34:15,960
Speaker 2: Right, Yeah, why else go to Philly.

712
00:34:16,960 --> 00:34:19,520
Speaker 5: Seems that's good appropriate.

713
00:34:19,120 --> 00:34:20,520
Speaker 2: Yeah, par for the course.

714
00:34:20,800 --> 00:34:23,160
Speaker 1: All right, I'm gonna tease this into a break here.

715
00:34:23,680 --> 00:34:29,399
Speaker 2: Yeah, buddy, areadie, I love it? Hit us here we go.

716
00:34:29,520 --> 00:34:33,560
Speaker 3: Scientists gave lions the love hormone oxytocin to see what

717
00:34:33,600 --> 00:34:34,280
Speaker 3: would happen.

718
00:34:34,640 --> 00:34:37,240
Speaker 2: Oh, I bet, I bet I know what happened.

719
00:34:38,080 --> 00:34:40,080
Speaker 1: All right, let's get into it when we come back

720
00:34:40,120 --> 00:34:42,680
Speaker 1: on honeos.

721
00:34:47,560 --> 00:34:56,080
Speaker 5: News all the way around.

722
00:34:55,840 --> 00:35:01,040
Speaker 6: The got.

723
00:35:05,040 --> 00:35:14,680
Speaker 3: Shot birthday, folks, we are back, Scottie. If anyone's out there,

724
00:35:15,080 --> 00:35:17,360
Speaker 3: do us a favor right now. We not go to

725
00:35:18,360 --> 00:35:23,080
Speaker 3: www dot rate bananas dot com, r A t E.

726
00:35:23,200 --> 00:35:25,920
Speaker 1: Bananas dot com and give us a rate and review.

727
00:35:26,040 --> 00:35:27,120
Speaker 2: It matters.

728
00:35:27,560 --> 00:35:28,680
Speaker 1: It does matter, guys.

729
00:35:28,760 --> 00:35:29,759
Speaker 2: We love when you do it.

730
00:35:30,120 --> 00:35:31,440
Speaker 1: We really do love when you do it.

731
00:35:31,480 --> 00:35:33,799
Speaker 3: And of course send all of your strange news to

732
00:35:34,880 --> 00:35:39,160
Speaker 3: The Bananas Podcast on Instagram, ort the Bananas Podcast at

733
00:35:39,160 --> 00:35:40,000
Speaker 3: gmail dot com.

734
00:35:40,040 --> 00:35:43,439
Speaker 1: Scottie got any shout outs before we got some shout out, fantastic.

735
00:35:42,880 --> 00:35:46,120
Speaker 2: Guest, I do. I have some shout outs and for

736
00:35:46,239 --> 00:35:49,880
Speaker 2: beloved bananimals, birthdays are tough. At this point, we're getting

737
00:35:50,120 --> 00:35:52,920
Speaker 2: fifty to one hundred shout outs and so if it's

738
00:35:52,960 --> 00:35:55,200
Speaker 2: like two weeks out or a week out, we're gonna

739
00:35:55,200 --> 00:35:58,560
Speaker 2: be belated. So happy belated birthday to Arianna from Ashley.

740
00:35:58,600 --> 00:36:00,680
Speaker 2: It's a late one. Birthdays our tough for us, but

741
00:36:00,760 --> 00:36:03,760
Speaker 2: Ashley loves Ariana so much. I think it's April tenth,

742
00:36:03,760 --> 00:36:10,040
Speaker 2: which will certainly be way past. Happy birthday. Gorbachevy, great name, says,

743
00:36:10,160 --> 00:36:12,680
Speaker 2: Happy birthday, Nicole. You're the coolest cat and overalls and

744
00:36:12,719 --> 00:36:15,640
Speaker 2: I hope you like your banana's water bottle surprise, So

745
00:36:16,120 --> 00:36:19,359
Speaker 2: happy birthday, Nicole, and thanks for buying that that hot,

746
00:36:19,400 --> 00:36:22,839
Speaker 2: hot hot banana swag. And then these two are not bananas,

747
00:36:22,920 --> 00:36:25,600
Speaker 2: I mean, excuse me. Birthdays planetarry Laren wants to shout

748
00:36:25,640 --> 00:36:27,680
Speaker 2: out her best friend and husband Jack for supporting her

749
00:36:27,719 --> 00:36:30,719
Speaker 2: through her PhD, a NASA grant and into a tech job.

750
00:36:30,760 --> 00:36:32,640
Speaker 2: She couldn't have done it without him. But also Kurtie B.

751
00:36:33,040 --> 00:36:37,120
Speaker 2: She wants to shout out her cats, Avocado, Mango and Banana.

752
00:36:38,520 --> 00:36:40,040
Speaker 2: Banana's a pretty good name for a cat.

753
00:36:40,080 --> 00:36:42,400
Speaker 1: I gotta say, I do want to say I like that.

754
00:36:42,480 --> 00:36:43,920
Speaker 3: It's just like I just want to say thank you

755
00:36:44,000 --> 00:36:46,040
Speaker 3: to my partner who supported me through all of this.

756
00:36:46,440 --> 00:36:49,879
Speaker 1: But also these three animals these.

757
00:36:49,640 --> 00:36:52,760
Speaker 2: Three animals named after fruits and veggies.

758
00:36:52,400 --> 00:36:54,200
Speaker 1: So don't support me at all.

759
00:36:55,080 --> 00:36:58,359
Speaker 2: That's right. And last, but very very not least, is

760
00:36:59,080 --> 00:37:02,399
Speaker 2: Kerrie Marie is outing out. Carrie Marie. Carrie came out

761
00:37:02,400 --> 00:37:05,200
Speaker 2: to their father as non binary. They thank us for

762
00:37:05,239 --> 00:37:08,320
Speaker 2: always including non binary folks in our intro, something Kurtie

763
00:37:08,360 --> 00:37:10,719
Speaker 2: B and I are very happy to do. And they

764
00:37:10,719 --> 00:37:13,560
Speaker 2: wanted the Banana Boys to announce it publicly before telling

765
00:37:13,600 --> 00:37:18,040
Speaker 2: everyone else in Carrie's life. So congratulations into all our

766
00:37:18,080 --> 00:37:21,000
Speaker 2: beloved been animals. Anyone coming out in twenty twenty two.

767
00:37:21,239 --> 00:37:23,000
Speaker 2: We know it's a big decision, we know it can

768
00:37:23,040 --> 00:37:25,319
Speaker 2: be very scary, so we just wanted to let you

769
00:37:25,400 --> 00:37:28,000
Speaker 2: know that we got your back. Have that bravery, have

770
00:37:28,120 --> 00:37:30,600
Speaker 2: that courage, do it when you're ready, and live how

771
00:37:30,719 --> 00:37:32,080
Speaker 2: you want to live.

772
00:37:32,800 --> 00:37:35,880
Speaker 3: And we are here, of course with the fantastic Wow

773
00:37:36,000 --> 00:37:38,840
Speaker 3: Katie Natapoulos, Hi, Katie, Hi.

774
00:37:38,880 --> 00:37:41,000
Speaker 5: Thank you for calling me fantastic. That's very sweet.

775
00:37:41,560 --> 00:37:44,000
Speaker 2: You are fantastic, Katie. I had a question, since you

776
00:37:44,000 --> 00:37:46,480
Speaker 2: were a journalist, you're a writer, what was your first

777
00:37:46,520 --> 00:37:48,760
Speaker 2: paid writing job. I feel like we have a decent

778
00:37:48,760 --> 00:37:51,640
Speaker 2: amount of aspiring writers and to get paid to write

779
00:37:51,760 --> 00:37:53,520
Speaker 2: is like, that's the sweet spot.

780
00:37:53,600 --> 00:37:56,080
Speaker 5: Right, that's a great question.

781
00:37:56,160 --> 00:38:00,239
Speaker 6: Off the top of my head, I am honestly not

782
00:38:00,400 --> 00:38:05,000
Speaker 6: totally short. I think that it was maybe I did

783
00:38:05,000 --> 00:38:10,080
Speaker 6: a blog post about Bronie's for Gawker dot com.

784
00:38:10,480 --> 00:38:13,200
Speaker 1: Remember that you do?

785
00:38:13,440 --> 00:38:17,640
Speaker 6: Okay, Yeah, I mean Bronie They were a big thing.

786
00:38:18,239 --> 00:38:19,200
Speaker 5: I missed Bronie.

787
00:38:19,760 --> 00:38:21,960
Speaker 3: I miss Bronie's. It was a simpler time.

788
00:38:21,920 --> 00:38:23,560
Speaker 5: It really was. It's like, I feel like at the

789
00:38:23,600 --> 00:38:26,879
Speaker 5: time we were like Broni's. Oh, and now I'm like, oh,

790
00:38:26,960 --> 00:38:28,319
Speaker 5: bring back the Bronies.

791
00:38:28,920 --> 00:38:30,799
Speaker 3: For those for those of you who don't know what

792
00:38:30,920 --> 00:38:34,240
Speaker 3: Broni's is, can you please tell the world about Bronie's.

793
00:38:33,800 --> 00:38:34,520
Speaker 5: Katie, Right.

794
00:38:34,600 --> 00:38:37,279
Speaker 6: The idea was that it was bros adult men who

795
00:38:37,360 --> 00:38:38,720
Speaker 6: were into my Little Pony.

796
00:38:38,840 --> 00:38:42,680
Speaker 3: The there was and it was not ironic.

797
00:38:42,719 --> 00:38:45,160
Speaker 1: It was it was a literal love of my little pony.

798
00:38:45,320 --> 00:38:46,719
Speaker 6: Yeah, I guess part of the reason they don't really

799
00:38:46,760 --> 00:38:48,680
Speaker 6: exist anymore. So there was this, and this was in

800
00:38:48,840 --> 00:38:52,640
Speaker 6: what like the sort of late aughts two thousand and

801
00:38:52,760 --> 00:38:57,000
Speaker 6: nine to two thousand and four. There was specific there

802
00:38:57,040 --> 00:39:00,560
Speaker 6: was a new animated series of My Life Little Pony

803
00:39:00,560 --> 00:39:05,759
Speaker 6: called Friendship Is Magic, and it was like considered like

804
00:39:05,800 --> 00:39:10,480
Speaker 6: a sort of very high quality animation show that you know,

805
00:39:10,600 --> 00:39:12,760
Speaker 6: adults could enjoy as well as children.

806
00:39:13,120 --> 00:39:15,040
Speaker 5: And I guess that, like you.

807
00:39:14,960 --> 00:39:19,440
Speaker 6: Know, a lot of adults enjoyed the show on their own,

808
00:39:20,080 --> 00:39:20,840
Speaker 6: as they should.

809
00:39:22,040 --> 00:39:24,879
Speaker 2: I went to a premier party for that really, and

810
00:39:25,360 --> 00:39:28,760
Speaker 2: I left and they gave me three my little ponies

811
00:39:28,920 --> 00:39:32,600
Speaker 2: in packaging. And at the time, my cousin had a

812
00:39:33,239 --> 00:39:35,920
Speaker 2: three year old, so I guess second cousin but basically

813
00:39:35,920 --> 00:39:37,920
Speaker 2: a niece to me. And at a family dinner, I

814
00:39:37,960 --> 00:39:39,279
Speaker 2: was like, you know what, I'm going to give her

815
00:39:39,320 --> 00:39:42,040
Speaker 2: one at a time for every like monthly family dinner

816
00:39:42,080 --> 00:39:43,759
Speaker 2: and just give her a little something to look forward to.

817
00:39:44,400 --> 00:39:47,440
Speaker 2: So after dinner, my little three year old niece is

818
00:39:47,480 --> 00:39:49,880
Speaker 2: sitting there and I hand her my little pony, and

819
00:39:49,920 --> 00:39:52,360
Speaker 2: she asked what its name is, and all the everybody

820
00:39:52,360 --> 00:39:56,239
Speaker 2: else as an adult, no other kids, and I said, well,

821
00:39:56,239 --> 00:39:57,839
Speaker 2: you can name it whatever you want, like it has

822
00:39:57,840 --> 00:39:59,719
Speaker 2: a name, but you can name it whatever you want.

823
00:39:59,760 --> 00:40:02,080
Speaker 2: And my cousin's like, yeah, go ahead, name it, Ella,

824
00:40:02,160 --> 00:40:03,680
Speaker 2: What do you want to name it? And she looks

825
00:40:03,719 --> 00:40:05,400
Speaker 2: down at this little pink, little my little pony, and

826
00:40:05,440 --> 00:40:07,239
Speaker 2: then looks up at all of these adults looking at her,

827
00:40:07,239 --> 00:40:10,799
Speaker 2: and she goes her and we're all like her, and

828
00:40:10,880 --> 00:40:13,760
Speaker 2: she goes peace, and we're like herpes.

829
00:40:13,960 --> 00:40:16,480
Speaker 1: We're like, well, let's think of a different name for this.

830
00:40:16,560 --> 00:40:19,960
Speaker 2: My little pony just out of the out of her

831
00:40:20,000 --> 00:40:24,319
Speaker 2: little mind, her peace. And we were like, well, how

832
00:40:24,360 --> 00:40:28,200
Speaker 2: about candy flake? You know, how about snuggles? Yeah, so

833
00:40:28,320 --> 00:40:32,760
Speaker 2: old herpes. See, my little pony lived, lived, and breathed

834
00:40:32,760 --> 00:40:33,319
Speaker 2: for one night.

835
00:40:33,360 --> 00:40:35,680
Speaker 1: But I'm sure we changed it to like cherry buck.

836
00:40:36,360 --> 00:40:39,280
Speaker 2: Oh my gosh, yeah, that's true. We all just burst

837
00:40:39,280 --> 00:40:41,400
Speaker 2: down laughing, and she was like nervous at her laughter,

838
00:40:41,520 --> 00:40:45,839
Speaker 2: like she knew she had made a mistake. I love

839
00:40:45,920 --> 00:40:48,240
Speaker 2: that good old herpes, the my little pony.

840
00:40:49,640 --> 00:40:51,280
Speaker 1: All right, you want to hear about this? Uh?

841
00:40:51,640 --> 00:40:57,319
Speaker 3: This this These scientists given love hormones to Yes, this

842
00:40:57,360 --> 00:41:01,880
Speaker 3: is a news week. It's written by Hannah. Ozy's good Hannah.

843
00:41:02,040 --> 00:41:05,880
Speaker 2: She might be the best, She's the best in the business.

844
00:41:05,920 --> 00:41:09,160
Speaker 3: Scientists have given lions a dose of the love hormone

845
00:41:09,200 --> 00:41:11,920
Speaker 3: oxytocin to see what impact you would have on this

846
00:41:12,080 --> 00:41:16,400
Speaker 3: vulnerable apex predator. Oxytocin is a hormone that in humans

847
00:41:16,480 --> 00:41:20,719
Speaker 3: is associated with childbirth, bonding and breastfeeding in animals research

848
00:41:20,840 --> 00:41:24,080
Speaker 3: over recent decades. That's interesting they don't also say sex

849
00:41:24,120 --> 00:41:28,160
Speaker 3: because it's also associated with sex in animals. Research over

850
00:41:28,480 --> 00:41:31,120
Speaker 3: recent decades suggested can play a role in social bonding.

851
00:41:31,160 --> 00:41:34,000
Speaker 3: For example, research published in twenty seventeen showed how injecting

852
00:41:34,040 --> 00:41:38,400
Speaker 3: wild seals with oxytocin made them friendlier toward one another.

853
00:41:39,960 --> 00:41:42,960
Speaker 3: Line numbers are currently plummeting, with an estimated twenty thousand

854
00:41:43,040 --> 00:41:45,440
Speaker 3: left in the wild. Lions are minted by humans and

855
00:41:45,480 --> 00:41:48,960
Speaker 3: retaliation for attacks on livestock and humans, as well as

856
00:41:49,000 --> 00:41:52,520
Speaker 3: preemptively to protect those living nearby. The species also targeted

857
00:41:52,520 --> 00:41:57,440
Speaker 3: by trophy hunters. Lion conservation efforts often involve the relocation

858
00:41:57,640 --> 00:42:02,160
Speaker 3: of individuals from areas where at risk from humans, as

859
00:42:02,160 --> 00:42:04,719
Speaker 3: well as their reintroduction to parks. But lions are an

860
00:42:04,760 --> 00:42:08,400
Speaker 3: aggressive predator and are highly territorial. This means bringing a

861
00:42:08,440 --> 00:42:11,280
Speaker 3: new individual in an area where lions are already present

862
00:42:11,400 --> 00:42:15,319
Speaker 3: can be risky. So science from the University of Minnesota

863
00:42:15,560 --> 00:42:18,239
Speaker 3: wanted to see if oxytocin would promote social bonding among

864
00:42:18,320 --> 00:42:20,400
Speaker 3: lions as it does with other species.

865
00:42:20,840 --> 00:42:22,359
Speaker 1: In their experiment, this is.

866
00:42:22,320 --> 00:42:24,520
Speaker 2: Here here we go hold on.

867
00:42:25,600 --> 00:42:28,200
Speaker 3: In their experiment at a wildlife reserve in South Africa,

868
00:42:28,600 --> 00:42:32,120
Speaker 3: researchers leered lured lines to a wire fence with chunks

869
00:42:32,160 --> 00:42:35,880
Speaker 3: of meat. Once close enough, they would spray oxytocin up

870
00:42:35,920 --> 00:42:40,640
Speaker 3: their noses on surprise, surprise, just a little binoca of oxytocin.

871
00:42:41,800 --> 00:42:42,399
Speaker 2: How's that mean?

872
00:42:42,520 --> 00:42:43,200
Speaker 1: Boys?

873
00:42:44,280 --> 00:42:47,160
Speaker 3: And then of course they're sneezing. Findings showed that the

874
00:42:47,200 --> 00:42:51,000
Speaker 3: twenty three lions given oxytocin were more tolerant of others

875
00:42:51,040 --> 00:42:54,799
Speaker 3: and were less territorial. Quote, you can see their features

876
00:42:55,040 --> 00:42:58,040
Speaker 3: soften immediately. They go from wrinkled and aggressive to this

877
00:42:58,120 --> 00:43:00,799
Speaker 3: totally calm demeanor. Jessica burd Her, he was the lead

878
00:43:00,840 --> 00:43:03,120
Speaker 3: author of the study published and I Science, said in

879
00:43:03,160 --> 00:43:05,200
Speaker 3: a statement, they totally chill out.

880
00:43:05,280 --> 00:43:06,000
Speaker 1: It's amazing.

881
00:43:06,960 --> 00:43:09,520
Speaker 3: And if you're wondering what it looks like for a

882
00:43:09,560 --> 00:43:13,520
Speaker 3: lion to chill out, here's what it means. The distance

883
00:43:13,680 --> 00:43:17,919
Speaker 3: between lions playing with the ball after oxytocin have from

884
00:43:17,960 --> 00:43:22,360
Speaker 3: about twenty two feet to eleven feet, suggesting they became

885
00:43:22,520 --> 00:43:26,280
Speaker 3: more to one another once food was introduced, the effect

886
00:43:26,320 --> 00:43:28,160
Speaker 3: of the oxytocin disappeared.

887
00:43:28,440 --> 00:43:30,279
Speaker 2: There we go, there we go.

888
00:43:31,719 --> 00:43:34,520
Speaker 3: They still stay eleven feet away from each other.

889
00:43:35,360 --> 00:43:35,920
Speaker 1: I love it.

890
00:43:36,000 --> 00:43:39,880
Speaker 3: They're that much, they're that much disliking being around other lions.

891
00:43:40,360 --> 00:43:42,520
Speaker 6: Yeah, and then as soon as they eat, they're like, no,

892
00:43:43,280 --> 00:43:43,880
Speaker 6: I'll kill you.

893
00:43:44,080 --> 00:43:47,120
Speaker 1: I'll kill you.

894
00:43:46,800 --> 00:43:46,880
Speaker 3: Uh.

895
00:43:47,120 --> 00:43:51,000
Speaker 6: You know, Kurt, I have a personal story of lion

896
00:43:51,040 --> 00:43:57,040
Speaker 6: aggression and local news that's very close to me. When

897
00:43:57,120 --> 00:44:00,600
Speaker 6: I was this would have been in the the year

898
00:44:00,800 --> 00:44:03,400
Speaker 6: two thousand, two thousand and one.

899
00:44:05,160 --> 00:44:09,080
Speaker 5: Over over. I think it was on New Year's Day.

900
00:44:10,080 --> 00:44:13,319
Speaker 5: News in the Boston Globe broke.

901
00:44:14,520 --> 00:44:16,920
Speaker 6: That and that's where I grew up, where my parents

902
00:44:16,960 --> 00:44:21,280
Speaker 6: lived outside Boston, and I was home from college visiting

903
00:44:21,440 --> 00:44:26,239
Speaker 6: with my parents for Christmas break, and so we're reading

904
00:44:26,280 --> 00:44:30,160
Speaker 6: the Boston Globe that at the Boston Zoo, which is

905
00:44:30,200 --> 00:44:31,600
Speaker 6: the Franklin Park Zoo.

906
00:44:32,800 --> 00:44:37,760
Speaker 7: There had been a scandal, a cover up where months earlier,

907
00:44:37,920 --> 00:44:41,040
Speaker 7: one lion attacked and killed another lion and they like

908
00:44:41,080 --> 00:44:45,439
Speaker 7: didn't tell anyone about it who and then it finally.

909
00:44:45,160 --> 00:44:47,719
Speaker 6: Was like revealed like several months later, but like it

910
00:44:48,239 --> 00:44:50,960
Speaker 6: was like a little bit buried.

911
00:44:50,640 --> 00:44:53,120
Speaker 5: In the you know, it was on New Year's Day.

912
00:44:53,440 --> 00:44:57,319
Speaker 6: That they like announced the news, you know, and it

913
00:44:57,440 --> 00:44:59,799
Speaker 6: just so happened that I love going to the zoo.

914
00:45:00,080 --> 00:45:00,799
Speaker 5: New Year's Day.

915
00:45:01,960 --> 00:45:04,240
Speaker 6: And this has like weirdly been like a family tradition

916
00:45:04,280 --> 00:45:06,720
Speaker 6: of mine that had more to do with like travel

917
00:45:06,760 --> 00:45:11,279
Speaker 6: plans around, like visiting relatives, but but that we would

918
00:45:11,280 --> 00:45:13,239
Speaker 6: somehow end up always going to like the Bronx Zoo

919
00:45:13,320 --> 00:45:14,080
Speaker 6: on New Year's Day.

920
00:45:15,160 --> 00:45:17,600
Speaker 5: And so I was like, let's go to the zoo.

921
00:45:17,800 --> 00:45:20,440
Speaker 6: I got to see these lions, these killer lions. Like

922
00:45:20,719 --> 00:45:22,320
Speaker 6: we go to the zoo and it's like a freezing

923
00:45:22,480 --> 00:45:24,880
Speaker 6: cold day. It's New Year's Day day in Boston.

924
00:45:25,040 --> 00:45:28,960
Speaker 5: Stinks. Nobody's there. It's it's miserable, like it's completely empty.

925
00:45:30,120 --> 00:45:33,239
Speaker 6: As we go, we go to the lion area and

926
00:45:33,320 --> 00:45:36,160
Speaker 6: like the only people there is the local news crew

927
00:45:36,360 --> 00:45:38,560
Speaker 6: because they're filming you know, the sort of you know

928
00:45:38,680 --> 00:45:43,680
Speaker 6: Fox five Problem solvers kind of you know, scandal at

929
00:45:43,680 --> 00:45:47,839
Speaker 6: the zoo segment, and since like myself and my mother

930
00:45:47,880 --> 00:45:51,560
Speaker 6: were like the only sort of patrons, uh, milling around,

931
00:45:51,560 --> 00:45:53,160
Speaker 6: and they were like, I was like, oh, you guys

932
00:45:53,200 --> 00:45:56,240
Speaker 6: filming about the lion thing, the lions, the murder lions.

933
00:45:56,440 --> 00:45:58,319
Speaker 6: So they were like yeah, yeah, yeah, Like do you

934
00:45:58,360 --> 00:46:00,480
Speaker 6: want to like be the you know, man on the

935
00:46:00,480 --> 00:46:01,360
Speaker 6: street interview?

936
00:46:01,600 --> 00:46:06,000
Speaker 5: And I was like do I This has been my

937
00:46:06,200 --> 00:46:08,840
Speaker 5: dream right to be the man on the street interview

938
00:46:09,160 --> 00:46:10,400
Speaker 5: on the local news.

939
00:46:11,080 --> 00:46:12,840
Speaker 6: So you know, it's like it and I was like,

940
00:46:13,120 --> 00:46:14,960
Speaker 6: I guess I'll send you this as a local news

941
00:46:15,000 --> 00:46:18,840
Speaker 6: They they need the whole, they need the scandalous element.

942
00:46:18,960 --> 00:46:20,640
Speaker 5: So like, you know, they were like, ma'am, how do

943
00:46:20,680 --> 00:46:21,480
Speaker 5: you feel about this?

944
00:46:22,280 --> 00:46:25,399
Speaker 6: And I was like, well, if they were covering this up,

945
00:46:25,520 --> 00:46:31,239
Speaker 6: who knows what else they've been covering up. And so

946
00:46:31,360 --> 00:46:34,000
Speaker 6: I was on the local news that night, you know,

947
00:46:34,360 --> 00:46:38,000
Speaker 6: spounding out my zoo conspiracy theories and I was so

948
00:46:38,000 --> 00:46:39,400
Speaker 6: so excited about.

949
00:46:39,160 --> 00:46:42,000
Speaker 1: It, oh so much.

950
00:46:42,080 --> 00:46:44,040
Speaker 6: I'm just sorry that a lion had to die for

951
00:46:44,080 --> 00:46:47,560
Speaker 6: me to have my you know, fifteen seconds of local

952
00:46:47,600 --> 00:46:48,160
Speaker 6: news fame.

953
00:46:48,719 --> 00:46:50,719
Speaker 2: This goes all the way to the top. We need

954
00:46:50,760 --> 00:46:52,920
Speaker 2: to turn this zoo upside down.

955
00:46:54,440 --> 00:46:58,160
Speaker 3: I think the last time I saw a lion, and

956
00:46:58,160 --> 00:46:58,640
Speaker 3: I'm sure it.

957
00:46:58,640 --> 00:46:58,960
Speaker 1: Was a lyon.

958
00:46:59,000 --> 00:46:59,600
Speaker 2: It wasn't a tiger.

959
00:46:59,640 --> 00:47:03,200
Speaker 3: Was a lion was We were Lauren and I, my

960
00:47:03,239 --> 00:47:06,320
Speaker 3: wife and I were recording an episode for this podcast

961
00:47:06,320 --> 00:47:09,319
Speaker 3: we used to do called Wedlock, and we wanted to

962
00:47:09,400 --> 00:47:13,080
Speaker 3: go and see bonobos because bonobos are they have sex

963
00:47:13,160 --> 00:47:15,920
Speaker 3: like eighty five times a day or something like that.

964
00:47:16,360 --> 00:47:19,399
Speaker 3: And it's like there there's no aggression. It's a matriarchal

965
00:47:19,520 --> 00:47:22,920
Speaker 3: society where sex is used to like you know, like

966
00:47:23,120 --> 00:47:26,560
Speaker 3: organize their entire like everything, like them, Hi, how you doing.

967
00:47:26,800 --> 00:47:28,560
Speaker 3: They'll have sex with each other to say hi. They'll

968
00:47:28,560 --> 00:47:30,520
Speaker 3: have sex with each other to like share food and stuff.

969
00:47:31,239 --> 00:47:32,760
Speaker 3: And so we had to go early in the morning

970
00:47:32,760 --> 00:47:36,719
Speaker 3: before the zoo was open and Jacksonville, Florida, so Jacksonville

971
00:47:36,760 --> 00:47:38,080
Speaker 3: was the only place that would let us come in

972
00:47:38,160 --> 00:47:41,399
Speaker 3: and watch the bonobo's hump and and so we get

973
00:47:41,440 --> 00:47:44,040
Speaker 3: there and it's we're walking around a zoo before it's open,

974
00:47:44,080 --> 00:47:47,120
Speaker 3: which is very exciting and cool. We watched the bonobos.

975
00:47:47,880 --> 00:47:51,640
Speaker 3: It is crazy. But then the woman is like, well,

976
00:47:51,680 --> 00:47:53,400
Speaker 3: you guys are here and we still don't open for

977
00:47:53,400 --> 00:47:55,239
Speaker 3: another hour. Do you want to like walk around the zoo?

978
00:47:55,280 --> 00:47:57,440
Speaker 3: And we're like yeah, totally. So then we just like

979
00:47:57,480 --> 00:48:01,279
Speaker 3: went walking around and there was a lion. There was

980
00:48:01,320 --> 00:48:03,359
Speaker 3: either a lione or a tiger. I can't real big cat,

981
00:48:03,440 --> 00:48:06,160
Speaker 3: big big cat, and it kept just and it obviously

982
00:48:06,320 --> 00:48:10,080
Speaker 3: was like annoyed at something because it was just walking

983
00:48:10,120 --> 00:48:12,319
Speaker 3: in like a big loop around this kind of kind

984
00:48:12,320 --> 00:48:14,879
Speaker 3: of big enclosure. So like every thirty seconds, it would

985
00:48:14,920 --> 00:48:17,960
Speaker 3: like walk on this path and come back around. And Lauren,

986
00:48:18,160 --> 00:48:21,040
Speaker 3: my wife, wanted to like get a video of the

987
00:48:21,080 --> 00:48:23,600
Speaker 3: lion like coming because it would like come right next

988
00:48:23,680 --> 00:48:26,120
Speaker 3: to you, and so she like tried to film it

989
00:48:26,160 --> 00:48:28,560
Speaker 3: once and it went past, and then she'd like got

990
00:48:28,560 --> 00:48:31,399
Speaker 3: in a better position like closer for it to come past,

991
00:48:31,440 --> 00:48:33,120
Speaker 3: and then something didn't work, and so then she like

992
00:48:33,200 --> 00:48:35,879
Speaker 3: really got like right up close there and the lion,

993
00:48:36,000 --> 00:48:39,319
Speaker 3: she has it all on video lines coming around and

994
00:48:39,360 --> 00:48:41,839
Speaker 3: then it just like comes right up to her and

995
00:48:41,840 --> 00:48:44,399
Speaker 3: then like kind of walks past her, then stops, then

996
00:48:44,520 --> 00:48:47,280
Speaker 3: raises its tail and just sprays her in the face.

997
00:48:48,520 --> 00:48:51,440
Speaker 2: The old urine bomb tigers, they have signs it might

998
00:48:51,440 --> 00:48:53,560
Speaker 2: have been a tiger because that they have signs that

999
00:48:53,640 --> 00:48:56,239
Speaker 2: like these Bengal tigers will spray piss at you if

1000
00:48:56,239 --> 00:48:56,719
Speaker 2: they're mad.

1001
00:48:56,840 --> 00:49:01,000
Speaker 3: And it's not even piss, it's like this marking that

1002
00:49:01,360 --> 00:49:06,840
Speaker 3: smells so bad, and she was immediately just drenched in it.

1003
00:49:07,080 --> 00:49:10,640
Speaker 2: That's fantastic. I feel like everybody in Jacksonville does that

1004
00:49:10,719 --> 00:49:13,120
Speaker 2: all the time. I feel that's like a Jacksonville handshake.

1005
00:49:13,520 --> 00:49:17,280
Speaker 1: Wow, she got the old Jacksonville handshake.

1006
00:49:19,880 --> 00:49:22,960
Speaker 2: Wow. That will change you. I bet Lauren is different

1007
00:49:23,000 --> 00:49:25,520
Speaker 2: at zoos from now on, like I wish I had

1008
00:49:25,560 --> 00:49:27,560
Speaker 2: like she is. I'm sure she has the video. Maybe

1009
00:49:27,560 --> 00:49:29,320
Speaker 2: I can get the video. But you'll watch the video.

1010
00:49:29,600 --> 00:49:31,600
Speaker 2: The lions braiser and then you just hear being like

1011
00:49:37,760 --> 00:49:38,600
Speaker 2: I had a wake yup.

1012
00:49:39,040 --> 00:49:39,879
Speaker 1: That'd a wake up.

1013
00:49:40,719 --> 00:49:42,960
Speaker 3: Do we have time for you to tease us out

1014
00:49:42,960 --> 00:49:44,080
Speaker 3: with one story, Scotty?

1015
00:49:44,200 --> 00:49:44,359
Speaker 4: Yeah?

1016
00:49:44,400 --> 00:49:46,160
Speaker 2: I can do well and I could do this is

1017
00:49:46,160 --> 00:49:47,840
Speaker 2: a fun one. Actually we can go out on a

1018
00:49:48,840 --> 00:49:53,240
Speaker 2: let's see, I'll do a shorty. Here's a nice short one.

1019
00:49:53,960 --> 00:49:57,759
Speaker 2: This was sent in by Megan cole Well on Instagram.

1020
00:49:57,800 --> 00:50:01,680
Speaker 2: Thank you Megan, very very much. Written by BBC. That's

1021
00:50:01,680 --> 00:50:05,399
Speaker 2: a real news source. We like the BBC. Maybe yeah,

1022
00:50:05,520 --> 00:50:11,280
Speaker 2: written by that hot BBC staff They don't often credit

1023
00:50:11,320 --> 00:50:14,240
Speaker 2: at the BBC. They are the mediumist in the business.

1024
00:50:14,960 --> 00:50:19,080
Speaker 2: Paraglider breaks man's nose in cliff top crash exclamation point.

1025
00:50:19,920 --> 00:50:22,400
Speaker 2: This is fascinating. A man was left with a broken

1026
00:50:22,480 --> 00:50:27,520
Speaker 2: nose after the pilot of a paraglider crashed into him.

1027
00:50:27,840 --> 00:50:30,200
Speaker 2: North Yorkshire Police said they received a report that a

1028
00:50:30,200 --> 00:50:34,080
Speaker 2: pedestrian was walking along Filey Brigg or Philly Brigg in

1029
00:50:34,360 --> 00:50:38,360
Speaker 2: Filey count Country Park or Filey count excuse me, Philey

1030
00:50:38,560 --> 00:50:42,400
Speaker 2: Country Park on Thursday, March twenty fourth, at around six

1031
00:50:42,560 --> 00:50:46,120
Speaker 2: thirty pm, when a paraglider collided with him. The collision

1032
00:50:46,160 --> 00:50:48,719
Speaker 2: caused him to have a broken nose and broke his glasses.

1033
00:50:48,880 --> 00:50:50,320
Speaker 2: I mean, this is so insane.

1034
00:50:50,440 --> 00:50:53,320
Speaker 3: What is a paraglider again? It's not a hang glide?

1035
00:50:53,360 --> 00:50:54,800
Speaker 3: Is it a hang parachute?

1036
00:50:54,960 --> 00:50:57,360
Speaker 2: And then it has like a fan apparatus behind you.

1037
00:50:57,600 --> 00:50:59,640
Speaker 2: Some of them are like motorized, and some of them

1038
00:50:59,680 --> 00:51:01,600
Speaker 2: you just run off the cliff with like a parachute

1039
00:51:01,600 --> 00:51:04,080
Speaker 2: over you and you have handles and you sail. The

1040
00:51:04,120 --> 00:51:06,680
Speaker 2: glider was described as green and white in color and

1041
00:51:06,800 --> 00:51:09,000
Speaker 2: was being piloted by a white man in his forties

1042
00:51:09,000 --> 00:51:11,279
Speaker 2: who was wearing a green helmet and dark clothes. They're

1043
00:51:11,280 --> 00:51:13,760
Speaker 2: never gonna catch this guy who's wearing a green helmet

1044
00:51:13,760 --> 00:51:17,120
Speaker 2: and dark clothing. Anyone who can assist the police, send

1045
00:51:17,160 --> 00:51:17,880
Speaker 2: your inquiries.

1046
00:51:18,200 --> 00:51:19,600
Speaker 1: Wait, he's still at large.

1047
00:51:19,760 --> 00:51:28,480
Speaker 2: He sailed away and sailed away, Yes, he did. Called

1048
00:51:28,560 --> 00:51:31,720
Speaker 2: North York Shore Police on one O one select option

1049
00:51:31,880 --> 00:51:35,239
Speaker 2: too and asked to speak to Alistair Graham Merritt. If

1050
00:51:35,239 --> 00:51:38,160
Speaker 2: you saw or know somebody with a green and white.

1051
00:51:38,360 --> 00:51:40,399
Speaker 1: Come on, he's gotta know this.

1052
00:51:40,480 --> 00:51:44,960
Speaker 2: Guys can't be a parent at walking at night, six

1053
00:51:45,120 --> 00:51:46,799
Speaker 2: thirty pm. And then all of a sudden you just

1054
00:51:46,880 --> 00:51:50,480
Speaker 2: look up and you get hit by a flying guy

1055
00:51:51,120 --> 00:51:53,160
Speaker 2: and he breaks your nose and glasses so then you

1056
00:51:53,200 --> 00:51:55,360
Speaker 2: can't see. If you've ever gotten hit in the nose,

1057
00:51:55,560 --> 00:51:57,960
Speaker 2: it makes you blackout for a second and it is

1058
00:51:58,040 --> 00:52:01,400
Speaker 2: a horrible pain. And then you just look and your

1059
00:52:01,400 --> 00:52:05,840
Speaker 2: assailant just sore silently into the British guys.

1060
00:52:06,160 --> 00:52:07,000
Speaker 5: I like how the.

1061
00:52:07,080 --> 00:52:10,799
Speaker 6: News story says specifically, like to call Alistair or like

1062
00:52:10,880 --> 00:52:12,640
Speaker 6: ask for Alistair.

1063
00:52:12,280 --> 00:52:15,680
Speaker 2: Whoever Alister Graham Merritt, Please so on one to one,

1064
00:52:15,719 --> 00:52:19,160
Speaker 2: select option two if you're near the North Yorkshire Police.

1065
00:52:19,239 --> 00:52:19,879
Speaker 1: I love that.

1066
00:52:20,480 --> 00:52:21,320
Speaker 2: Oh man.

1067
00:52:21,360 --> 00:52:24,440
Speaker 3: Well, Katie, thank you so much for being on bananas

1068
00:52:24,560 --> 00:52:27,240
Speaker 3: that can Where can people find you online and plug

1069
00:52:27,280 --> 00:52:28,240
Speaker 3: whatever you want to plug?

1070
00:52:29,080 --> 00:52:30,440
Speaker 5: Well, thank you for having me.

1071
00:52:31,640 --> 00:52:36,560
Speaker 6: You can find me on Twitter at Katie Natapolis or

1072
00:52:36,800 --> 00:52:40,879
Speaker 6: you can read my articles at on BuzzFeed news dot

1073
00:52:40,920 --> 00:52:42,640
Speaker 6: com fantama.

1074
00:52:42,680 --> 00:52:45,839
Speaker 3: And they're all good people, They're all good. Each one

1075
00:52:45,920 --> 00:52:48,920
Speaker 3: is a winner, Katie. The topless article.

1076
00:52:51,000 --> 00:52:55,600
Speaker 6: You know, I try to keep a slightly better ratio

1077
00:52:55,640 --> 00:52:59,440
Speaker 6: than the Paraglider in terms of hits and missus.

1078
00:52:59,480 --> 00:53:02,000
Speaker 5: But you know you can't win them all.

1079
00:53:02,040 --> 00:53:02,560
Speaker 2: That's right.

1080
00:53:03,239 --> 00:53:04,680
Speaker 1: Oh well, thank you for being here.

1081
00:53:04,880 --> 00:53:08,920
Speaker 3: Fantastic Scottie Curdie Beetney Buss.

1082
00:53:09,560 --> 00:53:11,960
Speaker 1: Yeah uhs.

1083
00:53:22,320 --> 00:53:24,840
Speaker 2: Bananas is an exactly right media production.

1084
00:53:25,000 --> 00:53:27,160
Speaker 1: Our producer and engineer is Katie Levine.

1085
00:53:27,640 --> 00:53:30,880
Speaker 2: The catchy Bananas theme song was composed and performed by Kahon.

1086
00:53:31,120 --> 00:53:34,400
Speaker 3: Artwork for Bananas was designed by Travis Millard.

1087
00:53:34,400 --> 00:53:37,239
Speaker 2: And our benevolent overlords are the great Karen Kilgareff and

1088
00:53:37,280 --> 00:53:38,640
Speaker 2: Georgia Hartstart.

1089
00:53:38,280 --> 00:53:41,560
Speaker 1: And Lisa Maggott is our full human, not a robot intern.

1090
00:53:42,080 --> 00:53:44,800
Speaker 2: You can listen, subscribe, and leave us reviews for Bananas

1091
00:53:44,880 --> 00:53:48,279
Speaker 2: on Amazon Music, Apple Podcasts, or wherever you get your

1092
00:53:48,480 --> 00:53:50,280
Speaker 2: quality podcast and don't forget.

1093
00:53:50,360 --> 00:53:53,560
Speaker 3: You can hear every episode one week early and ad free,

1094
00:53:53,680 --> 00:53:57,160
Speaker 3: plus bonus episodes by subscribing to Wondery Plus in the

1095
00:53:57,239 --> 00:53:57,640
Speaker 3: Wondery

1096
00:53:57,680 --> 00:54:01,880
Speaker 1: App till pay ba