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Speaker 1: Hey, Scottie, Kurtie b I'm ready to laugh and off and.

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Speaker 2: Off researchers genetically altered fruitflies to make them crave cocaine.

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Speaker 1: It probably didn't take that much. Probably could have just

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Speaker 1: given them cocaine that they would have. All right, we'll

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Speaker 1: get a sniff of this on a brand new bananas.

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Speaker 2: Do world understand?

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Speaker 1: Would you cilion pieces? Would you?

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Speaker 2: Guys, gows, non binary pals, Welcome to bananas. Scottie Landis

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Speaker 2: is sitting right there over me, producer of Ma Too. Thanks,

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Speaker 2: just announced. Congratulations, Thank you, feels wonderful.

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Speaker 1: That's the great Kurt Brown all over there. Yeah, thanks man,

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Speaker 1: that's I knew it was coming. Obviously, I wasn't allowed

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Speaker 1: to talk about it. And then, like all great things

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Speaker 1: in Hollywood, I found out from the deadline and variety announcements,

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Speaker 1: like I didn't find out from reps or studios or

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Speaker 1: but I knew it was coming. Very proud. Ama Too

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Speaker 1: is going to be in theater sometime hopefully this fall.

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Speaker 2: That's exciting.

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Speaker 1: Yeah, it's very cool, and I'm glad to have created

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Speaker 1: a franchise, and I feel very blessed and lucky and

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Speaker 1: thank you to all the banannimals who have watched it

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Speaker 1: and sent me you know, them watching it and watching

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Speaker 1: it for the first time and all those things. It

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Speaker 1: actually worked out. So a sequel is being made.

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Speaker 2: You created a franchise, dude. Not only did you get

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Speaker 2: a movie made that made so much money compared to

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Speaker 2: how much it was shot for. Yeah, that's right, which

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Speaker 2: is a incredibly hard to do. First an original movie,

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Speaker 2: an a original movie.

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Speaker 1: Yeah that's right.

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Speaker 2: And now it's a franchise. Oh it feels good, my god,

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Speaker 2: I mean like it is. It is a testament to

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Speaker 2: how hard you work and how talented you are.

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Speaker 1: Sir. Thank you. I really appreciate that. Again, thank you

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Speaker 1: to everybody saw it and loves it. And you know,

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Speaker 1: it came out five years ago. It came out May

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Speaker 1: thirty first, twenty nineteen, and five years later they finally

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Speaker 1: gree lit the sequel, So away we go. I'm happy

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Speaker 1: it has struck a nerve and stuck around and is

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Speaker 1: like a cult, campy movie for people, very exciting and yeah,

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Speaker 1: what a what a fun mixed I just feel like

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Speaker 1: actually happy because I'm not writing it. I'm like, boy,

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Speaker 1: I have no pressure to make this awesome. I just

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Speaker 1: have to sit back and cheer on the writer.

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Speaker 2: And it's like people will go see it in the

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Speaker 2: theaters because they already like it.

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Speaker 1: Oh, and all actually enjoy seeing it in the theater,

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Speaker 1: just like at the premiere. I was my second time

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Speaker 1: even seeing it. So I you're watching it like, God,

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Speaker 1: is this good? They change that all this stuff, And

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Speaker 1: now I'm just going in. I know what the storyline is,

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Speaker 1: but I won't know anything. Yeah, I'll read the script

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Speaker 1: before it gets shot. But it'll be cool to go

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Speaker 1: in blind and just go, Okay, who did they past?

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Speaker 2: I know right what's happening? Uh, you have to if

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Speaker 2: they have a New York premiere, you know, oh go,

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Speaker 2: I want to go. I want to go. I want

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Speaker 2: you to fly out for it. But also if they

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Speaker 2: don't have a New York premiere, I will host a

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Speaker 2: Bananamal screening opening weekend.

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Speaker 1: Well that's all I want more. I was more flattered

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Speaker 1: when the first one came out. I was actually happier

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Speaker 1: about you guys all going and cheering and having a

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Speaker 1: great time and then reporting back to the theater. Loved it.

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Speaker 1: Then I was any other part of it, my favorite

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Speaker 1: part where my friend's just going and cheering and having

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Speaker 1: a great time. It really was.

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Speaker 2: It's cool, man, it's good thanks to you. When something

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Speaker 2: in your mind takes on a life of its own,

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Speaker 2: it is so very neat and it's one of the

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Speaker 2: most satisfying things about being alive on planet Earth.

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Speaker 1: It's true. And I just hope every movie I write

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Speaker 1: from here on out, if I ever get to make

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Speaker 1: another one, they're all just party based movies. I would

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Speaker 1: be very happy being the party guy for scary movies.

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Speaker 1: I mean The Machine was a party movie. Yeah, it like,

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Speaker 1: just really send me your drinking movies and I'm in,

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Speaker 1: I'll do it.

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Speaker 2: I love that you're a.

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Speaker 1: Cool brand, a cool brand, and now that you and

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Speaker 1: I are huge influencers, just massive influencers. What a cool

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Speaker 1: brand to have. Yeah, for real, man, still not a

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Speaker 1: single liquor sponsor of the pod. But that's okay.

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Speaker 2: What's going on?

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Speaker 1: What's up?

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Speaker 2: What are liquor brand not allowed to advertise on podcasts?

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Speaker 1: Oh? For sure they are. Like so many people have

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Speaker 1: bud Light and get us Buzzballs. That's a woman owned company,

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Speaker 1: and we want those buzzballs.

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Speaker 2: A woman owned company. Yeah, of course, have you seen

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Speaker 2: the large buzzballs have you seen those. Those are the

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Speaker 2: most upsetting things, and they are upset. We're just like,

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Speaker 2: how much sugar and hard liquor do you want? Well,

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Speaker 2: we've got it in a head sized container.

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Speaker 1: Damn right. And they're beautiful. They catch the eye. They're

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Speaker 1: definitely not marketed to teenagers and college students. Yeah, but

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Speaker 1: we love them just the same. Strange news and storytelling.

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Speaker 1: That's the Bananas Podcast. It's the silliest little podcast in

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Speaker 1: the world. Just thanks to all the Bananas out there

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Speaker 1: who support the pod. We love that you listen, send

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Speaker 1: us your stories, and now you can always also email

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Speaker 1: whatever you want to us. Ask us questions. We'll read

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Speaker 1: those on the air, and you can always physically mail us.

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Speaker 1: We love the usps at this podcast. And we have

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Speaker 1: a po box that is three nine three four eight,

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Speaker 1: Los Angeles, California, nine zero zero three to nine. Just

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Speaker 1: write that to the Anna boys or bananas. When I

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Speaker 1: go pick up packages the post the man that works

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Speaker 1: at the post office always goes bananas, all right and

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Speaker 1: then hands me them, so I think it makes them happy.

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Speaker 1: Doesn't pronounce a last name.

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Speaker 2: Come on, of course, it makes them happy.

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Speaker 1: And it makes us happy to do it. What's the story, Curdie.

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Speaker 2: B alrighty, here it is. This was in Popular Science,

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Speaker 2: one of my favorite that's a real one, seemingly fake magazines.

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Speaker 1: Right yeah.

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Speaker 2: Researchers genetically altered fruit flies crave cocaine written by the

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Speaker 2: man with the most esoteric name ever, Andrew.

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Speaker 1: Paul Andy Paul, who sent this one in.

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Speaker 2: Just I found it. Yea, Andrew Paul is a best

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Speaker 2: in the bus when it comes to this stuff. In

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Speaker 2: really typing in a world first scientists University of Utah.

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Speaker 2: Why am I not surprised at Utah have an engineered

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Speaker 2: fruitflies susceptible to cocaine addiction. But as strange as it sounds,

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Speaker 2: there are potentially life saving reasons for genetically altering the

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Speaker 2: insects to crave the drug. The novel biological model could

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Speaker 2: help addiction treatment therapy development, to therapy's development, and expedite

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Speaker 2: research timelines. That's interesting, Okay. The findings are detailed in

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Speaker 2: the Journal of Neuroscience. As surprising as it may sound,

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Speaker 2: humans have a lot in common with fruitflies. In fact,

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Speaker 2: we share seventy to seventy five percent of the same

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Speaker 2: genes responsible for various diseases as well as many of

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Speaker 2: the same vital organs. What are they talking about?

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Speaker 1: Yeah, no idea vital organs.

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Speaker 2: First off, fruitflies have organs. I mean, are they saying

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Speaker 2: like they have eyes and stomachs and legs and that's it.

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Speaker 2: I don't even like, I can't even imagine a fruitfly's stomach.

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Speaker 2: Uh does a fruitfly have lungs? I don't think a

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Speaker 2: fruitfly has lungs.

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Speaker 1: This god has a breath in something.

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Speaker 2: Hell he's talking about.

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Speaker 1: Yeah.

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Speaker 2: Researchers have relied on the insects for genetic studies for years,

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Speaker 2: especially for investigating the biological roots of certain addictions like

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Speaker 2: cocaine abuse. This is due in large part to the

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Speaker 2: fruitflies quick life cycle and it's comparatively simple genetic makeup.

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Speaker 2: But while scientists have administered the drug to the bugs

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Speaker 2: in the past, there's always been a small problem. Flies

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Speaker 2: don't like cocaine one bit. Where is where are all

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Speaker 2: these studies getting their cocaine? Where is that happening? Is

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Speaker 2: there is there pharmaceutical grade cocaine that we're not aware of?

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Speaker 2: And who's producing it?

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Speaker 1: Oh? Look, God, there's tons of it? Are you kidding?

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Speaker 2: There's so much talking about you.

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Speaker 1: Think so was made in a lab. It's a lab

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Speaker 1: made thing. Caine doesn't just grow on trees, trust me,

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Speaker 1: I've been abound so many trees lately. But it's really uh.

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Speaker 1: And but I'd be more curious of like how easy

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Speaker 1: it is to smuggle a little bit out if you're

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Speaker 1: one of the scientists make cooking that cocaine. I agree,

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Speaker 1: also pretty easy.

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Speaker 2: But also like tip for like cocaine is is derived

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Speaker 2: from the cocoa plant, right for coca plant. Yeah, and

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Speaker 2: I and like I think a lot of the like

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Speaker 2: how do you make it in a lab? Is my

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Speaker 2: question because it usually being made like in a jungle

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Speaker 2: with gasoline and burnt you know, like it's a bunch

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Speaker 2: of different processes. But then do they try and recreate

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Speaker 2: what street cocaine is in the lab or is there

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Speaker 2: like is there a definitive definition of like this is

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Speaker 2: what makes makes up cocaine that they're trying to like

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Speaker 2: meet you know, okay, you're telling me.

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Speaker 1: I don't know. Okay, I think all drugs And I

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Speaker 1: bet we have chemist ban animals. I'm sure we have

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Speaker 1: chemists ban animals. I bet they could just spout out

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Speaker 1: what the chemical combination is, what the compound is and

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Speaker 1: you'd like just combine these things and you have cocaine.

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Speaker 1: It's like, let's see you it's just like made a lab.

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Speaker 1: Just a guy.

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Speaker 2: Not cocaine is not that's the thing. Like meth. Meth's

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Speaker 2: made in a lab. You just make that with chemicals.

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Speaker 2: But cocaine is made from a plant. It is legitimately

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Speaker 2: made from a plant, right, right, So it's like it

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Speaker 2: is different in that way. So that's why I'm like,

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Speaker 2: you know, if it's just always been made kind of

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Speaker 2: by by people, you know in the debt and like

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Speaker 2: in the jungle, like, how are more chemicsts recreating it?

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Speaker 1: You know? Yeah, yeah, I don't know. I don't know

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Speaker 1: to what cookbooks are for. I guess you know, do

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Speaker 1: you have a cookbook that you like? Like is there

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Speaker 1: one around your house that I feel like? Cookbooks are

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Speaker 1: the gift that you're so grateful, Like somebody gives you

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Speaker 1: a cookbook and like, oh this is awesome. You thumbed

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Speaker 1: through it and then you just put it on that

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Speaker 1: kitchen encounter and it just sits there for twenty five years.

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Speaker 1: Like yeah, yeah, then you always have one that you

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Speaker 1: go hard on, like real hard on.

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Speaker 2: I used to have a soups one that I really liked.

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Speaker 1: Hell yeah, now that's an answer. You had a soups

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Speaker 1: one that's great.

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Speaker 2: I do make a lot of soups, actually weirdly I make.

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Speaker 2: I do. I enjoy making soups. I like to have

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Speaker 2: a soup around because it's so easy. It's got everything

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Speaker 2: right there, you know, especially for a lunch where you're like,

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Speaker 2: because I usually tend not to get up until I'm

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Speaker 2: so hungry. I'm angry at myself and that I just

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Speaker 2: want to have something I can quickly heat up and eat,

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Speaker 2: and all of it's it's like all the good things

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Speaker 2: are there in one place. So I make a ton

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Speaker 2: of soups brah. But I can't remember I can't remember

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Speaker 2: whose soup recipe book I use.

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Speaker 1: So soup's great. I mean, I'm pro soup all the way,

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Speaker 1: are you? God? I love a soup. I feel like

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Speaker 1: it's an East Coast food and a Midwestern food. I

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Speaker 1: feel like the South and the West Coast just don't

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Speaker 1: get the love soup now. But I feel like soup

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Speaker 1: stands tall.

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Speaker 2: You can go to any East Coast Midwest place and

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Speaker 2: there's stores. They're just whole shops. That are just like

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Speaker 2: this place is we sell soup and you could come

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Speaker 2: in and you can get a bowl of soup and

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Speaker 2: we got ten different types of soup and they're delicious

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Speaker 2: and they're really good. You come California, there's not a

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Speaker 2: goddamn single soup place in Los Angeles. I have looked.

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Speaker 1: Yeah, just Jewish Ellis it's the only place you can

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Speaker 1: go get different soups. But yeah, there's no There was

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Speaker 1: a soup plantation.

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Speaker 2: There was a soup plantation with the worst name, and

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Speaker 2: they had a bunch of soups and it was like,

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Speaker 2: I hate this name. The soups are not good, but

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Speaker 2: I still am gonna go here.

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Speaker 1: It was stewvery Yeah, you're like, don't do it please?

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Speaker 2: Such a weird idea of all the names of all

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Speaker 2: the names were like we could it could be anything.

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Speaker 2: Could be soup gallery, it could be coup name, it

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Speaker 2: could be soup or market. It could be I'd be

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Speaker 2: there every day every day at super market.

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Speaker 1: Yeah, it's not that hard. Oh.

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Speaker 2: I remember once super super when I had the Australian girlfriend.

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Speaker 2: She told me about the first time she went to

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Speaker 2: the United States and they were traveling like in a

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Speaker 2: road trip and they got to like just a diner

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Speaker 2: in the middle of the country and they sat down,

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Speaker 2: they ordered something and the waitress was like, all right,

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Speaker 2: super salad. And they were like, oh, yes, yeah, sure,

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Speaker 2: and she's like super salad. They're like, yes, we would

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Speaker 2: like the super salad that she's like soup or salad. Yes,

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Speaker 2: they just thought it was super salad. Would would be

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Speaker 2: an American thing to create a super salad.

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Speaker 1: I would love it. I would eat a super salad

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Speaker 1: every day. I feel like I've put more money into

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Speaker 1: the Gelson Salad Bar out here than any other business

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Speaker 1: in Los Angeles, really, the one over where I used

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Speaker 1: to live, the one over more in like Silver Lake,

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Speaker 1: Los Phelis. I used to go there all the time,

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Speaker 1: and those salads it's like fourteen ninety nine a pound,

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Speaker 1: and I will make a pound salad and then every

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Speaker 1: time you're leaving, you're like, wow, a sixteen dollars salad.

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Speaker 1: This was a financial mistake. I could have bought the

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Speaker 1: individual ingredients and made three salads.

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Speaker 2: I always would. I always think it's gonna be like

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Speaker 2: a real healthy choice. But then whenever I go to

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Speaker 2: the salad bar, there's always like a hot bar nearby

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Speaker 2: where you could just kind of pile on mac and cheese,

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Speaker 2: and so like, I keep making it really and then

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Speaker 2: I'm like, well, I deserve a little something something, and

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Speaker 2: then I'll PLoP some mac and cheese on top, and

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Speaker 2: all of a sudden, we're not having a healthy meal anymore.

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Speaker 1: There are certain people in my life that would order

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Speaker 1: soup all the time, friends and ex girlfriends and stuff.

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Speaker 1: And one ex girlfriend, if there was French onion soup

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Speaker 1: on a menu, it wouldn't matter if it was a

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Speaker 1: place that should not be said, it wouldn't matter if

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Speaker 1: it was a pinkberry. She would order it. And it

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Speaker 1: was almost like an addiction. And I feel like that

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Speaker 1: saved freeness of French onion soup, the cheese, all of it.

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Speaker 1: It's delicious and I'm not dunking on it.

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Speaker 2: Oh, I know you're not dunking on it. It's one

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Speaker 2: of the best soups in the in the world.

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Speaker 1: But every if it was on the menu, it was

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Speaker 1: happening all right and fascinating.

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Speaker 2: Officially top five soups in the world, Scottie Gooa.

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Speaker 1: Well, does Ramen and fu count Yes, of course there's soups.

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Speaker 1: Number one is ramen. Okay, oh, I like that. I

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Speaker 1: love good ramen and I love fu, but fa it's

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Speaker 1: probably like four for me.

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Speaker 2: Okay, there's fuzz not even on my list. I'll let

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Speaker 2: you know that.

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Speaker 1: Yeah, fuzz fuzz to sit at home. Yeah yeah, I

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Speaker 1: like when you eat ramen, if you get it to

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Speaker 1: go and it sits there and it all can reels.

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Speaker 1: You've been just eating versions of fats and oils and

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Speaker 1: you're like.

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Speaker 2: So, you know what, Actually, there's one thing that you

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Speaker 2: can make yourself feel better about that is that it's

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Speaker 2: not all fat. A lot of it's collar gin good

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Speaker 2: for your bones and your skin.

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Speaker 1: Bro oh, well that's good too.

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Speaker 2: That's why it's like it solidifies. The fat is definitely

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Speaker 2: part of that, but a lot of its collegen.

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Speaker 1: Baby.

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Speaker 2: All right, So you got number one ramen, what's number two?

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Speaker 1: I like a minudle. Give me a minudo roja. I'm

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Speaker 1: a big Mexican soup fan. Love that. I Yeah, that's

305
00:16:24,800 --> 00:16:32,840
Speaker 1: my number two, and i'd three. I'd go, Oh, I mean,

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Speaker 1: I'm gonna put chicken noodle soup somewhere in the top five,

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Speaker 1: just because, Okay, I do think about it when I'm hungry.

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Speaker 1: All right, I like that, and then I'm gonna go

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Speaker 1: four f five. This is gonna I'm just traveling the

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Speaker 1: whole country. I Uh, I love real wantan soup. I

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Speaker 1: love it really when I'm sick, I crave wanton soup,

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Speaker 1: and people like chicken noodle soup and that kind of thing. Yeah,

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Speaker 1: so I guess I'm not a big cream based soup guys,

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Speaker 1: what you're learning from this riveting discussion. But yeah, I

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Speaker 1: think i'd go wantan soup, chicken noodle soup, menudo roja roja,

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Speaker 1: and any type of great ramen is my numeral uno.

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Speaker 1: That's my fiver, and I stand by this list. I

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Speaker 1: should open Scotti Soups and just have those five things

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Speaker 1: until they sell out.

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Speaker 2: Well, you know what, Let's have one side of the

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Speaker 2: store offer those, the other side will offer these my

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Speaker 2: top five. All right, I'm one right off. Fat legit borshed,

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Speaker 2: Russian borshe. No, none of this meat shit, there's no.

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Speaker 2: It's not Ukrainian borshe. This is not Polish. This is

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Speaker 2: Russian borshed. It is beat is beat forward. It is

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Speaker 2: served with cold the fattiest sour cream you can find

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Speaker 2: a ton of black pepper.

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Speaker 1: Okay, that is such an insane choice that I'm fully

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Speaker 1: on board with huge.

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Speaker 2: But I love Borsch It's my favorite soup. Crazy two

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Speaker 2: French onion soup, got I love. I know, it's definitely

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Speaker 2: Three's ramen. It's so good. I'm talking.

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Speaker 1: Spicy, little spicy hangover cure.

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Speaker 2: Then I'm talking about a chicken tortilla soup.

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Speaker 1: All right, I'm with you on that, like like a caldo.

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Speaker 2: Verde, you know. And then for number the number five position.

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Speaker 1: Scottie, the sleeper hit of.

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Speaker 2: The sleeper hit, I'm gonna have to go. I'm gonna

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Speaker 2: have to go with a lentil soup. Baby wow.

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Speaker 1: Real book ended it with the two most born soups.

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Speaker 1: I could think you're one and five or just a

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00:19:03,400 --> 00:19:06,719
Speaker 1: lot of people's worst soups. That's why Kurt is an artist.

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Speaker 1: He goes in there. He gets the full experience. Lentils

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Speaker 1: are delicious.

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Speaker 2: Lentil soup if it's done, if it's a good and like,

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Speaker 2: I'm not talking about a watery, shitty lentil soup. I'm

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Speaker 2: talking about quality, quality lentil soup.

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Speaker 1: Go places like Panera, go places where they and you

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Speaker 1: know what America likes. They like cheese based soups they

350
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Speaker 1: do they like, they'd like a baked potato soup.

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00:19:35,920 --> 00:19:38,040
Speaker 2: They like cheesy broccoli soup.

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Speaker 1: Oh anything, cream of anything.

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Speaker 2: Creama mushroom soup.

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Speaker 1: My uncle Steve is a ship and.

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Speaker 2: Sorry, before you you know what, you forgot one. I

356
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Speaker 2: forgot one. I'm gonna have to I'm gonna have to

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Speaker 2: put cream. I'm gonna have to put clam chowder on here.

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Speaker 1: Baby, your chowderhead. The creamy clown, not man creamy.

359
00:19:58,600 --> 00:20:02,160
Speaker 2: Yeah, clam, creamy clam is going to be. It might

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Speaker 2: bump lentil off at the end.

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Speaker 1: I get it. That's a big swing, but I get it.

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Speaker 1: I'd I'd rather eat it. My uncle Steve for Christmas

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Speaker 1: one of our family big traditions as he was a

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Speaker 1: chef and remains a chef. Just was also a chef,

365
00:20:17,880 --> 00:20:20,639
Speaker 1: and he makes cream of crab soup in this vat

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Speaker 1: that is like it's the biggest pot you can make

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Speaker 1: it in. And the reason is I have a very

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Speaker 1: large family. My mom d was one of eight. They're Catholics.

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Speaker 1: There's just even my cousins who are younger than me

370
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Speaker 1: are just cranking out babies. Had an alarming rate shock

371
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Speaker 1: him and every single person there just absolutely demolishes cream

372
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Speaker 1: of crab soup as soon as they get to the party.

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Speaker 1: Like there, you know how like when you're talking to

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Speaker 1: somebody and they're holding a beer or a solo cup or

375
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Speaker 1: glass of wine. Here's chatting. In my family, it's a

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Speaker 1: plastic bowl with a plastic spoon, just inhaling and.

377
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Speaker 2: Is it spicy? Is it a little bit spicy?

378
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Speaker 1: Oh, it's sweet and it is devastatingly good. It is

379
00:21:02,600 --> 00:21:05,040
Speaker 1: the richest, creamiest thing. And so for years I didn't

380
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Speaker 1: do dairy because it used to fuck my stomach up. Yeah,

381
00:21:07,520 --> 00:21:10,080
Speaker 1: so I stopped doing it. And so as this outsider,

382
00:21:11,040 --> 00:21:12,679
Speaker 1: and now I can get back into it. But as

383
00:21:12,760 --> 00:21:15,160
Speaker 1: as an outsider insider in my own family, just sitting

384
00:21:15,240 --> 00:21:20,920
Speaker 1: back and watching twenty two to thirty people just inhanding

385
00:21:21,080 --> 00:21:25,440
Speaker 1: cream of crab soup is the most Maryland. It's beautiful,

386
00:21:25,480 --> 00:21:28,800
Speaker 1: it's a great tradition. It smells incredible, but and.

387
00:21:28,760 --> 00:21:31,360
Speaker 2: It's got a lot of old bay and it doesn't

388
00:21:31,200 --> 00:21:32,720
Speaker 2: know if you had it.

389
00:21:33,040 --> 00:21:34,880
Speaker 1: Now that you're going to be an East Coast doggie again,

390
00:21:34,920 --> 00:21:38,000
Speaker 1: I'll make sure to get you some and you will,

391
00:21:38,760 --> 00:21:42,240
Speaker 1: you'll be fully on board, all right. It is crazy delicious,

392
00:21:42,320 --> 00:21:46,800
Speaker 1: but uh, dairy forward, I would say, and it becomes

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Speaker 1: dairy backward if you know what I mean, And I

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Speaker 1: thank you.

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00:21:50,320 --> 00:21:55,480
Speaker 2: I do, all right, So I'll finish up this article please.

396
00:21:55,480 --> 00:22:01,000
Speaker 2: I'd love it. Even when previously introduced to cocaine, Ruth

397
00:22:01,040 --> 00:22:04,359
Speaker 2: and Flus team noted that the insects routinely opted for

398
00:22:04,440 --> 00:22:09,119
Speaker 2: pure sugar water over sugar water laced with cocaine. First

399
00:22:09,119 --> 00:22:13,760
Speaker 2: study author Travis Fillow theorized the reason may reside in

400
00:22:13,800 --> 00:22:16,080
Speaker 2: a fli's sense of taste that is found on their

401
00:22:16,160 --> 00:22:19,720
Speaker 2: legs because they share seventy five percent of our organs

402
00:22:19,720 --> 00:22:22,600
Speaker 2: and their taste buds are on their fucking legs. Insects

403
00:22:22,640 --> 00:22:27,320
Speaker 2: are evolutionarily primed to avoid plant toxins, and cocaine is

404
00:22:27,359 --> 00:22:30,960
Speaker 2: a plant toxin. They have taste receptors on their arms

405
00:22:31,040 --> 00:22:34,080
Speaker 2: their tarsal segments, so they can put their hand in

406
00:22:34,160 --> 00:22:36,200
Speaker 2: something before it goes in their mouth and decide, I'm

407
00:22:36,200 --> 00:22:39,359
Speaker 2: not going to touch that. After affirming that cocaine activates

408
00:22:39,359 --> 00:22:42,439
Speaker 2: a fruitflies bitter sensing taste receptors, rooth and flu and

409
00:22:42,480 --> 00:22:46,840
Speaker 2: philly saw switched off these nerves. Once deactivated, there was

410
00:22:46,920 --> 00:22:49,680
Speaker 2: a little There was little to stop the flies from

411
00:22:49,720 --> 00:22:54,400
Speaker 2: developing a cocaine habit. These modified flies were subsequently introduced

412
00:22:54,400 --> 00:22:57,560
Speaker 2: to sugar water infused with a low concentration of cocaine.

413
00:22:57,640 --> 00:23:00,960
Speaker 2: Within sixteen hours, the insects indicated a preference for the

414
00:23:01,040 --> 00:23:04,119
Speaker 2: drug lace drink. At load doses, they start running around

415
00:23:04,240 --> 00:23:07,720
Speaker 2: just like people. At very high doses, they get incapacitated

416
00:23:07,760 --> 00:23:12,720
Speaker 2: with it, which is also true in people. So what

417
00:23:13,000 --> 00:23:17,400
Speaker 2: is what? I don't understand why they're doing this. Oh,

418
00:23:17,440 --> 00:23:21,040
Speaker 2: we can really start to understand the mechanisms of cocaine choice.

419
00:23:21,040 --> 00:23:23,800
Speaker 2: And the more you understand about the mechanism, the more

420
00:23:23,960 --> 00:23:27,840
Speaker 2: you have a chance to find a therapeutic that might

421
00:23:27,920 --> 00:23:30,320
Speaker 2: act on that mechanism. All right, well, there you go.

422
00:23:30,440 --> 00:23:32,120
Speaker 2: So they're trying to figure out how to get people

423
00:23:32,160 --> 00:23:36,720
Speaker 2: off cocaine. They're getting flies on to get people off.

424
00:23:37,240 --> 00:23:41,680
Speaker 1: I think that sounds okay, great work. I think that's

425
00:23:41,720 --> 00:23:45,800
Speaker 1: great work from the science and medical community at large.

426
00:23:46,160 --> 00:23:50,919
Speaker 2: Don't you always wonder what inspires people to choose a

427
00:23:50,960 --> 00:23:56,000
Speaker 2: specific study to dedicate their time and energy to the Like,

428
00:23:56,119 --> 00:23:59,239
Speaker 2: is this person definitively like what I want to do?

429
00:24:00,080 --> 00:24:01,840
Speaker 2: I want study cocaine?

430
00:24:05,720 --> 00:24:10,080
Speaker 1: Yeah, does cocaine suppresses your appetite, right, like you don't

431
00:24:10,080 --> 00:24:13,480
Speaker 1: really get hungry when you're in correct. Okay, that's interesting too,

432
00:24:13,720 --> 00:24:15,520
Speaker 1: Like I thought it was going in that direction that

433
00:24:15,520 --> 00:24:16,880
Speaker 1: they were trying to figure out how to like get

434
00:24:16,880 --> 00:24:20,080
Speaker 1: these damn flies from eating so much fruit, get these

435
00:24:20,080 --> 00:24:23,760
Speaker 1: flies off these bananas. A great stat but no, okay,

436
00:24:24,440 --> 00:24:28,240
Speaker 1: medical reasons to use cocaine, Yeah, yeah, But I think

437
00:24:28,280 --> 00:24:30,679
Speaker 1: about that for every career and job, and you know,

438
00:24:30,960 --> 00:24:32,960
Speaker 1: every road trip I'm on and everything, I like look

439
00:24:32,960 --> 00:24:34,639
Speaker 1: at the mailbox in the middle of nowhere and the

440
00:24:34,720 --> 00:24:37,960
Speaker 1: driveway up to the house, and I know what decisions?

441
00:24:38,560 --> 00:24:41,399
Speaker 1: How are I? Like, we're the same species? How am

442
00:24:41,440 --> 00:24:44,600
Speaker 1: I the same as this person that made these decisions

443
00:24:44,600 --> 00:24:47,160
Speaker 1: to put them out there? And I feel that way

444
00:24:47,200 --> 00:24:51,280
Speaker 1: with careers. I feel even when we were even when

445
00:24:51,280 --> 00:24:54,399
Speaker 1: I was like going into college, I really didn't know.

446
00:24:54,480 --> 00:24:57,000
Speaker 1: I thought I wanted to be an animator, a children's

447
00:24:57,000 --> 00:24:59,160
Speaker 1: book writer or whatever, but I really didn't know how

448
00:24:59,200 --> 00:25:01,800
Speaker 1: to do anything. But so many of my friends were like,

449
00:25:02,600 --> 00:25:05,520
Speaker 1: I'm gonna do turf sciences and I'm gonna may be

450
00:25:05,600 --> 00:25:08,320
Speaker 1: a run golf course golf courses, And I was like,

451
00:25:08,440 --> 00:25:11,520
Speaker 1: you're gonna do turf sciences and they're like yes, or

452
00:25:11,520 --> 00:25:13,320
Speaker 1: they'd be like, I'm going in a nursing, which is

453
00:25:13,359 --> 00:25:18,520
Speaker 1: great obviously, but you go you already why? And it's

454
00:25:18,600 --> 00:25:21,000
Speaker 1: usually because I know a guy who became an accountant

455
00:25:21,000 --> 00:25:23,960
Speaker 1: because he went to a house of a girl that

456
00:25:24,000 --> 00:25:25,399
Speaker 1: went to high school with us, and the house was

457
00:25:25,440 --> 00:25:27,320
Speaker 1: really nice and was our uncle's house, and her uncle

458
00:25:27,359 --> 00:25:29,880
Speaker 1: was an accountant, and in that moment he decided I'm

459
00:25:29,920 --> 00:25:32,000
Speaker 1: going to be an accountant because the guy had a

460
00:25:32,000 --> 00:25:33,720
Speaker 1: house that he liked when he was seventeen.

461
00:25:34,280 --> 00:25:36,359
Speaker 2: Wow, and so he was just like, this is what

462
00:25:36,440 --> 00:25:38,760
Speaker 2: I want and I'm gonna get it. How do I

463
00:25:38,800 --> 00:25:40,080
Speaker 2: get there? Accounting?

464
00:25:40,800 --> 00:25:45,879
Speaker 1: Yes? Like entertainment for me was certainly watching the Chris

465
00:25:45,920 --> 00:25:51,320
Speaker 1: Farley era of Saturday Live into the incredible run of

466
00:25:51,359 --> 00:25:55,000
Speaker 1: like that Tina fe My Rudolph era, where like Molly Shannon,

467
00:25:55,040 --> 00:25:58,439
Speaker 1: you're like, damn that era. I was like, I like

468
00:25:58,480 --> 00:26:00,760
Speaker 1: watching this, my friends like talking about it. I'm going

469
00:26:00,840 --> 00:26:05,040
Speaker 1: to pursue entertainment in some way. But even then you're like,

470
00:26:05,760 --> 00:26:08,200
Speaker 1: how the hell did this all come together? Yeah, it's

471
00:26:08,200 --> 00:26:09,159
Speaker 1: hard to imagine.

472
00:26:09,240 --> 00:26:11,240
Speaker 2: It really is hard to imagine. And that's why I

473
00:26:11,240 --> 00:26:13,960
Speaker 2: think all the time where people are. I was always like,

474
00:26:14,000 --> 00:26:16,359
Speaker 2: there is no path. There is no like when people

475
00:26:16,400 --> 00:26:18,320
Speaker 2: want to be like, tell me how you did it,

476
00:26:18,359 --> 00:26:21,320
Speaker 2: and it'll be like I can. But it's as unique

477
00:26:21,320 --> 00:26:24,920
Speaker 2: and specific as anybody's, you know, like there are maybe

478
00:26:25,040 --> 00:26:27,600
Speaker 2: certain things that you could do, but they're just so

479
00:26:27,800 --> 00:26:31,240
Speaker 2: wide to bring you to being in this gig.

480
00:26:31,720 --> 00:26:34,359
Speaker 1: And that's why I never enjoyed inside the actors studio.

481
00:26:35,080 --> 00:26:38,080
Speaker 1: I was never a fan. I thought the format was fine.

482
00:26:38,119 --> 00:26:40,399
Speaker 1: I love the idea of like actors can turn on

483
00:26:40,480 --> 00:26:42,400
Speaker 1: the charm in a way that you go, oh, you

484
00:26:42,440 --> 00:26:44,720
Speaker 1: are a star. I want to listen to everything you're

485
00:26:44,760 --> 00:26:47,640
Speaker 1: saying and doing. But I would watch it and I'd

486
00:26:47,640 --> 00:26:50,240
Speaker 1: be like, this is all just irrelevant, Like the path

487
00:26:50,280 --> 00:26:54,000
Speaker 1: that this person took. You're like, I can't do what

488
00:26:54,040 --> 00:26:57,080
Speaker 1: they just did. And the questions were always like third

489
00:26:57,160 --> 00:27:00,800
Speaker 1: year directing major, second year acting under Sudi blah blah blah,

490
00:27:00,800 --> 00:27:06,080
Speaker 1: and you're like, you're not going to learn anything. No.

491
00:27:06,359 --> 00:27:09,200
Speaker 2: It's like someone being like, well, the way I got

492
00:27:09,240 --> 00:27:17,359
Speaker 2: my TV deal was my father's a billionaire and.

493
00:27:15,359 --> 00:27:18,000
Speaker 1: I know and I know what you're referencing too, and

494
00:27:18,840 --> 00:27:23,800
Speaker 1: my god, it's just that thing where everybody wants a path. Yes, man,

495
00:27:24,200 --> 00:27:26,159
Speaker 1: that's why academia is so fun. Is it gives you

496
00:27:26,200 --> 00:27:28,480
Speaker 1: a path, or at least the perception of a path.

497
00:27:28,320 --> 00:27:29,760
Speaker 2: The perception of a path.

498
00:27:30,480 --> 00:27:32,600
Speaker 1: And sometimes it's a very smart path.

499
00:27:32,840 --> 00:27:36,240
Speaker 2: Give me a story, Scottie.

500
00:27:35,720 --> 00:27:42,280
Speaker 1: Speaking about Dairy Forward. Mother wins sixty two mile ultra

501
00:27:42,320 --> 00:27:45,920
Speaker 1: marathon while breastfeeding her six month old baby and starting

502
00:27:45,960 --> 00:27:47,960
Speaker 1: thirty minutes after her rivals.

503
00:27:48,119 --> 00:27:49,560
Speaker 2: Dude, she wins.

504
00:27:50,119 --> 00:27:52,600
Speaker 1: She won by so much.

505
00:27:53,119 --> 00:27:56,159
Speaker 2: A sixty two mile ultra marathon.

506
00:27:56,280 --> 00:27:58,479
Speaker 1: Yeah, one hundred k. That's a one hundred k.

507
00:27:59,600 --> 00:28:01,840
Speaker 2: She's breastfeeding a six month old.

508
00:28:02,359 --> 00:28:05,359
Speaker 1: Yes, she's stopping to breastfeed along the run.

509
00:28:05,640 --> 00:28:06,760
Speaker 2: Oh my god.

510
00:28:07,359 --> 00:28:10,160
Speaker 1: And it gets crazier. I know. That's already the most

511
00:28:10,200 --> 00:28:14,600
Speaker 1: insane thing. This was in People magazine, I think exclusively. Weirdly.

512
00:28:14,680 --> 00:28:17,560
Speaker 1: They were bragging. They were so hard, bragging like only us.

513
00:28:17,920 --> 00:28:23,520
Speaker 1: Written by Gabrielle Roxon. She rocks and she rolls, and

514
00:28:23,560 --> 00:28:25,960
Speaker 1: that's why we love her. She's the best in the biz.

515
00:28:26,640 --> 00:28:28,640
Speaker 1: Sl Kilmer sent this and you can send your story

516
00:28:28,720 --> 00:28:30,760
Speaker 1: to The Bananas Podcast at gmail dot com or the

517
00:28:30,840 --> 00:28:36,000
Speaker 1: Bananas Podcast on Instagram. It's a website and an app. Hmmm.

518
00:28:37,200 --> 00:28:43,040
Speaker 1: A mother and Marathon. Her just took multitasking to a

519
00:28:43,080 --> 00:28:48,480
Speaker 1: whole new level. According to Australia Broadcasting Corporation at ABC,

520
00:28:48,840 --> 00:28:52,160
Speaker 1: Stephanie Case was breastfeeding her six month old baby when

521
00:28:52,200 --> 00:28:56,960
Speaker 1: she won a sixty two mile ultramarathon last weekend, despite

522
00:28:57,000 --> 00:29:00,800
Speaker 1: starting thirty minutes after the other participants and stopping to

523
00:29:00,840 --> 00:29:03,840
Speaker 1: breastfeed her daughter, Pepper. The daughter's name is Pepper. She

524
00:29:03,920 --> 00:29:08,360
Speaker 1: wasn't breastfeeding her daughter. She wasn't spring Pepper out her nipball.

525
00:29:08,480 --> 00:29:09,000
Speaker 2: Okay, great.

526
00:29:09,560 --> 00:29:13,000
Speaker 1: The Canadian Trail runner shout out Canada won the Ultra

527
00:29:13,440 --> 00:29:18,840
Speaker 1: Trail Snowdonia's one hundred k the Ultra Trail Snowdonia one

528
00:29:18,880 --> 00:29:19,880
Speaker 1: hundred k run.

529
00:29:20,280 --> 00:29:22,200
Speaker 2: That is amazing and.

530
00:29:22,160 --> 00:29:26,080
Speaker 1: She's all smiles. This is a tough gal. She's she's

531
00:29:26,120 --> 00:29:29,360
Speaker 1: got some strength. In a joint post on Instagram with

532
00:29:29,440 --> 00:29:33,560
Speaker 1: a French photo and a video agency called Pigeone Vertical

533
00:29:34,640 --> 00:29:39,560
Speaker 1: or Vertical Cass Case excuse me, Case was captured breastfeeding

534
00:29:39,560 --> 00:29:42,160
Speaker 1: while eating a watermelon slice at the site of the

535
00:29:42,240 --> 00:29:45,520
Speaker 1: Ultra Marathon. Breastfeeding mid race. So mid race she stops

536
00:29:45,560 --> 00:29:49,200
Speaker 1: a breastfeed and is inhaling watermelon. Not only has Stephanie

537
00:29:49,280 --> 00:29:51,000
Speaker 1: won the one hundred k race. It's set on this

538
00:29:51,080 --> 00:29:55,240
Speaker 1: Instagram post after giving birth to her daughter only six

539
00:29:55,440 --> 00:29:56,480
Speaker 1: months earlier.

540
00:29:57,400 --> 00:30:00,360
Speaker 2: That's amazing. I'm looking at it. I'm looking at it right.

541
00:30:00,560 --> 00:30:04,920
Speaker 1: Not only has Stephanie breastfed her girl several times along

542
00:30:05,400 --> 00:30:11,959
Speaker 1: the way at aid stations, but she also won the race,

543
00:30:12,560 --> 00:30:17,040
Speaker 1: starting the race from far behind with no access to

544
00:30:17,120 --> 00:30:20,760
Speaker 1: an elite bib. Just wow, kudos for the rest of

545
00:30:20,800 --> 00:30:24,760
Speaker 1: your life. Stephanie. The United Nations Humans Right lawyer took

546
00:30:24,760 --> 00:30:27,720
Speaker 1: a pause from racing three years after three years ago

547
00:30:27,880 --> 00:30:32,240
Speaker 1: during her fertility journey, which included multiple miscarriages and rounds

548
00:30:32,280 --> 00:30:36,800
Speaker 1: of ivy F So tough. Yeah, different kind of tough,

549
00:30:36,840 --> 00:30:41,719
Speaker 1: different type of marathon. Yeah. Sharing on an Instagram carousel

550
00:30:41,840 --> 00:30:43,720
Speaker 1: of her which must be a real that must be

551
00:30:43,800 --> 00:30:44,440
Speaker 1: what they call him.

552
00:30:44,320 --> 00:30:46,920
Speaker 2: In or no, carousel is just a bunch of photos

553
00:30:47,320 --> 00:30:48,320
Speaker 2: you like swipe throom.

554
00:30:48,640 --> 00:30:50,959
Speaker 1: I don't know anything. I'm a I'm an influencer with

555
00:30:51,000 --> 00:30:54,480
Speaker 1: no influence. That's what's cool about me. Zero influence.

556
00:30:54,720 --> 00:30:56,960
Speaker 2: You're influencer with no personal.

557
00:30:59,240 --> 00:31:03,440
Speaker 1: Or Twitter or I got Johnny Pemberton are good buddy

558
00:31:03,440 --> 00:31:06,720
Speaker 1: who we should have on bronanas. He's the best dude,

559
00:31:06,720 --> 00:31:09,280
Speaker 1: he's on Fallout. If anybody watches fall Out, we love that.

560
00:31:09,360 --> 00:31:12,240
Speaker 1: Johnny Pemberton, he was just on a podcast and I

561
00:31:12,280 --> 00:31:15,320
Speaker 1: think it's like sex and relationships based and the woman

562
00:31:15,520 --> 00:31:19,080
Speaker 1: host was like red flag or green flag if the

563
00:31:19,200 --> 00:31:22,560
Speaker 1: woman you're dating has no social media and he's like

564
00:31:22,760 --> 00:31:26,680
Speaker 1: green flag, the biggest green, the biggest. She goes? What

565
00:31:26,920 --> 00:31:28,880
Speaker 1: why he goes? Social media is the worst thing to

566
00:31:28,920 --> 00:31:32,920
Speaker 1: ever happen to society. It's incredible. We'll have it. Donnie

567
00:31:32,920 --> 00:31:35,040
Speaker 1: On he's the greatest. I think he plays the character

568
00:31:35,200 --> 00:31:39,200
Speaker 1: Thattius on Fallout, which is a crazy good show for

569
00:31:39,360 --> 00:31:42,840
Speaker 1: something I knew nothing about. Sharing an Instagram carousel of

570
00:31:42,920 --> 00:31:46,480
Speaker 1: her POSTPARTU Marathon journey, case reflected on her triumph, Well

571
00:31:46,520 --> 00:31:48,960
Speaker 1: that was a surprise, she wrote. I went to the

572
00:31:49,040 --> 00:31:54,800
Speaker 1: Ultratrail Snowdonia one hundred kilometer last weekend with no expect

573
00:31:55,200 --> 00:32:00,560
Speaker 1: no expectations, just six months after having Little Pepper, three

574
00:32:00,640 --> 00:32:04,080
Speaker 1: years after my last race, due to recent miscarriages and

575
00:32:04,240 --> 00:32:07,000
Speaker 1: IVY failures. It wasn't meant. It was meant to be

576
00:32:07,040 --> 00:32:09,240
Speaker 1: a warm up to get to hard rock, which I

577
00:32:09,240 --> 00:32:11,600
Speaker 1: guess is another race and I hope not just a

578
00:32:11,640 --> 00:32:15,360
Speaker 1: hard rock Cafe. Yeah, she really likes to earn.

579
00:32:15,400 --> 00:32:19,560
Speaker 2: It was relling just get it, like, I can't wait.

580
00:32:19,680 --> 00:32:22,080
Speaker 2: I'm going to hard rock to loom and I'm looking

581
00:32:22,160 --> 00:32:23,000
Speaker 2: forward to it.

582
00:32:24,440 --> 00:32:27,120
Speaker 1: I'm gonna run sixty two miles to earn. And the

583
00:32:27,160 --> 00:32:29,400
Speaker 1: thing is, I don't know one menuid im at hard

584
00:32:29,440 --> 00:32:31,480
Speaker 1: Rock ant either. I would make the joke. I would

585
00:32:31,520 --> 00:32:37,920
Speaker 1: make the reference the Jimmy Hendricks beans and rice. I

586
00:32:37,960 --> 00:32:41,200
Speaker 1: don't know the beans and hen drinks. I had no idea.

587
00:32:41,320 --> 00:32:44,560
Speaker 2: I'm telling you the menu right now. Baby, it's the

588
00:32:44,680 --> 00:32:48,320
Speaker 2: vegend you would get the he should get the vegendary burger.

589
00:32:50,600 --> 00:32:52,720
Speaker 2: It was spicy Diablo burger.

590
00:32:53,040 --> 00:32:57,040
Speaker 1: Yeah, okay. Oh, so they don't have cool rock band names.

591
00:32:56,800 --> 00:32:57,800
Speaker 2: Like, what's going on?

592
00:32:58,040 --> 00:33:00,160
Speaker 1: That's dumb? Get tracked together, guy.

593
00:33:00,080 --> 00:33:02,600
Speaker 2: Why isn't there an Oreo speed Wagon?

594
00:33:02,920 --> 00:33:03,920
Speaker 1: Oh that's so good.

595
00:33:04,720 --> 00:33:10,400
Speaker 2: That was actually from that's from a TJF. Friday's Baby.

596
00:33:09,880 --> 00:33:14,800
Speaker 2: Oh yes, no they're not. No, no, no, that's weird.

597
00:33:15,080 --> 00:33:16,400
Speaker 1: Okay, yeah, that's dumb.

598
00:33:16,640 --> 00:33:17,240
Speaker 2: It is weird.

599
00:33:19,360 --> 00:33:21,120
Speaker 1: Yeah, I don't know. I don't know what's going on

600
00:33:21,160 --> 00:33:22,320
Speaker 1: over there at hard Rock Cafe.

601
00:33:22,960 --> 00:33:24,320
Speaker 2: Normal sandwich names.

602
00:33:26,240 --> 00:33:29,000
Speaker 1: She case added, My goals were just to enjoy myself

603
00:33:29,000 --> 00:33:30,720
Speaker 1: and make sure pepper was fed at all the AID

604
00:33:30,800 --> 00:33:35,800
Speaker 1: stations that I'm saying aid stations, not AIDS stage stations.

605
00:33:36,640 --> 00:33:39,200
Speaker 1: She's not spraying pepper out of her nipples. She is

606
00:33:39,240 --> 00:33:43,840
Speaker 1: not going to where AIDS exists. Give given it is given,

607
00:33:44,040 --> 00:33:48,280
Speaker 1: is given out freely with watermelon slices. As I no

608
00:33:48,360 --> 00:33:52,120
Speaker 1: longer have a ut MB index, I started in the

609
00:33:52,200 --> 00:33:55,680
Speaker 1: last wave, thirty minutes after the leader. Sure I had

610
00:33:56,080 --> 00:33:58,080
Speaker 1: hundreds of runners in front of me, but I could

611
00:33:58,120 --> 00:34:01,240
Speaker 1: go at my own pace and blissful igants of my placing.

612
00:34:01,440 --> 00:34:04,200
Speaker 1: That's a good attitude, and like just don't worry about

613
00:34:04,240 --> 00:34:06,160
Speaker 1: anybody else. You just run in a way that makes

614
00:34:06,200 --> 00:34:06,719
Speaker 1: you happy.

615
00:34:06,800 --> 00:34:08,600
Speaker 2: So wait, here's my question.

616
00:34:08,920 --> 00:34:09,920
Speaker 1: I hope I have an answer.

617
00:34:11,400 --> 00:34:15,920
Speaker 2: It's just so wait, the people who have a UTMB ranking,

618
00:34:16,760 --> 00:34:20,120
Speaker 2: they don't get a head's thirty minute start on these

619
00:34:20,160 --> 00:34:23,040
Speaker 2: other people. Everybody has their own time, correct.

620
00:34:23,440 --> 00:34:25,600
Speaker 1: I think it's what she's saying, it's a delayed start,

621
00:34:25,640 --> 00:34:27,600
Speaker 1: that there's certain people that are taking it more seriously

622
00:34:27,640 --> 00:34:29,680
Speaker 1: than others, so those people get to go off first,

623
00:34:29,719 --> 00:34:32,440
Speaker 1: which is I think how the New York Marathon works too, right, Okay,

624
00:34:32,480 --> 00:34:34,280
Speaker 1: like the people people at the front.

625
00:34:34,320 --> 00:34:36,120
Speaker 2: They just go go because they don't want to be

626
00:34:36,239 --> 00:34:39,400
Speaker 2: like like have to like avoid other people coming.

627
00:34:39,239 --> 00:34:42,560
Speaker 1: Out run by all of us limping, blistered, funny wig

628
00:34:42,600 --> 00:34:47,400
Speaker 1: wearing celebrity first time runners like I do. Remember when

629
00:34:47,440 --> 00:34:49,840
Speaker 1: Lance Armstrong ran the marathon and he said it was

630
00:34:49,880 --> 00:34:51,040
Speaker 1: harder than the Tor de Frants.

631
00:34:51,560 --> 00:34:52,200
Speaker 2: Whoa for real?

632
00:34:52,239 --> 00:34:54,480
Speaker 1: It really stuck with me. Yeah, because that guy, I

633
00:34:54,480 --> 00:34:55,960
Speaker 1: mean obviously was juiced.

634
00:34:56,160 --> 00:34:56,759
Speaker 2: Yeah he was.

635
00:34:57,520 --> 00:34:59,560
Speaker 1: He was juiced out of his mind.

636
00:34:59,760 --> 00:35:03,200
Speaker 2: Yeah, six testicles. He was getting a lot of I.

637
00:35:03,160 --> 00:35:05,719
Speaker 1: Think cycling a lot of them, if not all of them,

638
00:35:05,760 --> 00:35:06,960
Speaker 1: are pretty pumped up.

639
00:35:07,000 --> 00:35:09,640
Speaker 2: You could say there was Actually I listened to an

640
00:35:09,760 --> 00:35:13,359
Speaker 2: entire podcast about or I started to and it was

641
00:35:13,680 --> 00:35:14,880
Speaker 2: so boring I stopped.

642
00:35:14,920 --> 00:35:18,400
Speaker 1: But sometimes there are that like there.

643
00:35:18,400 --> 00:35:21,399
Speaker 2: Was a big thing in the Tour defronts of someone

644
00:35:21,520 --> 00:35:24,960
Speaker 2: using a goddamn motor on their bike. Yes, they had

645
00:35:25,000 --> 00:35:29,200
Speaker 2: it a motor. Isn't that crazy? That seems like one

646
00:35:29,239 --> 00:35:32,120
Speaker 2: thing definitely would it be happening? Is so what putting

647
00:35:32,160 --> 00:35:35,400
Speaker 2: a motor into the bike race? But yeah, people have

648
00:35:35,440 --> 00:35:37,719
Speaker 2: been doing it from like the beginning of the Tour

649
00:35:37,760 --> 00:35:38,200
Speaker 2: de France.

650
00:35:38,200 --> 00:35:41,400
Speaker 1: Apparently, Man, that's so dumb. But going back to this runner.

651
00:35:41,520 --> 00:35:43,560
Speaker 1: What I'm saying is like, hey, she went at her

652
00:35:43,600 --> 00:35:46,920
Speaker 1: own pace and blissful ignorance, Like screw that cheating. She

653
00:35:47,000 --> 00:35:49,359
Speaker 1: wasn't cheating at all. She was run along feet her kid.

654
00:35:49,480 --> 00:35:53,239
Speaker 1: Yeah nice describes the marathon as being like riding bike.

655
00:35:53,320 --> 00:35:55,560
Speaker 1: Every kilometer that passed remind me that I hadn't lost

656
00:35:55,560 --> 00:35:57,759
Speaker 1: a thing over these past three years. I didn't even

657
00:35:57,800 --> 00:35:59,799
Speaker 1: know I had won until I crossed the line being

658
00:36:00,200 --> 00:36:03,480
Speaker 1: minutes backman that the race organizers needed to check the

659
00:36:03,719 --> 00:36:07,080
Speaker 1: chip time. She said, I won. I think I repeated

660
00:36:07,080 --> 00:36:11,120
Speaker 1: it to myself ten times. She continued. Case advised all

661
00:36:11,160 --> 00:36:14,400
Speaker 1: other mothers to never be afraid of setting big goals

662
00:36:14,440 --> 00:36:15,200
Speaker 1: for yourself.

663
00:36:16,560 --> 00:36:20,600
Speaker 2: Very cool. Also, don't worry if you don't want to

664
00:36:20,640 --> 00:36:23,600
Speaker 2: set any goals the first six months after you have

665
00:36:23,640 --> 00:36:29,480
Speaker 2: a child. It is okay to be completely overwhelmed. Even

666
00:36:29,520 --> 00:36:33,280
Speaker 2: as a father. I was overwhelmed for at least five years.

667
00:36:33,680 --> 00:36:34,399
Speaker 1: Oh my god.

668
00:36:34,520 --> 00:36:36,080
Speaker 2: So take your time. You don't need to run an

669
00:36:36,120 --> 00:36:37,120
Speaker 2: ultra marathon either.

670
00:36:37,640 --> 00:36:39,920
Speaker 1: Nope, but yeah, start with a splitting the city. It's

671
00:36:39,960 --> 00:36:44,520
Speaker 1: a downhill one k off Bananas Veest in Denver, October fourth,

672
00:36:44,600 --> 00:36:45,279
Speaker 1: be there or b.

673
00:36:45,400 --> 00:36:48,319
Speaker 2: Square Come on New Moms, pump and dump and go

674
00:36:48,360 --> 00:36:48,759
Speaker 2: to dump.

675
00:36:48,800 --> 00:36:51,480
Speaker 1: Bring your baby, Well, we'll figure something out.

676
00:36:51,520 --> 00:36:52,640
Speaker 2: We'll hold your baby.

677
00:36:52,920 --> 00:36:53,840
Speaker 1: We'll hold your baby.

678
00:36:54,440 --> 00:36:54,880
Speaker 2: And that's a.

679
00:36:57,640 --> 00:36:59,520
Speaker 1: That's Banana's promise.

680
00:36:59,600 --> 00:37:02,000
Speaker 2: You bring in new baby, We're gonna hold it for you.

681
00:37:02,400 --> 00:37:05,080
Speaker 1: Yeah, We're gonna sit down and support its head and

682
00:37:05,160 --> 00:37:06,200
Speaker 1: hold your baby.

683
00:37:06,200 --> 00:37:07,399
Speaker 2: But I'm good at it.

684
00:37:07,760 --> 00:37:12,200
Speaker 1: But take that thing back in fifteen seconds because I

685
00:37:12,239 --> 00:37:16,759
Speaker 1: don't want anything to go wrong, and I'll take four photos.

686
00:37:16,840 --> 00:37:18,879
Speaker 2: I'll say I'll hold on to it for a couple

687
00:37:18,880 --> 00:37:22,520
Speaker 2: of minutes. All right, pretty, I'm pretty pretty confident in

688
00:37:22,560 --> 00:37:23,160
Speaker 2: that area.

689
00:37:23,640 --> 00:37:27,160
Speaker 1: I'm gonna sit down, I'm gonna put grip tape on

690
00:37:27,239 --> 00:37:31,040
Speaker 1: both of my hands, some wide receivers sticky tape on there,

691
00:37:31,120 --> 00:37:33,680
Speaker 1: and say, let me see that thing, let me see

692
00:37:33,680 --> 00:37:35,560
Speaker 1: that little Pepper. Also, I have to own like four

693
00:37:35,600 --> 00:37:37,360
Speaker 1: of those long haired dogs ins in my life and

694
00:37:37,360 --> 00:37:40,520
Speaker 1: they're all named Pepper. So to me, I associate the

695
00:37:40,560 --> 00:37:43,440
Speaker 1: name Pepper with long haired wiener dogs.

696
00:37:43,840 --> 00:37:48,960
Speaker 2: That is interesting. Can I tell you what my newest

697
00:37:49,080 --> 00:37:53,920
Speaker 2: my newest issue of interacting with Facebook marketplaces, Scotty.

698
00:37:53,920 --> 00:37:55,319
Speaker 1: There's nothing I want to hear more.

699
00:37:56,480 --> 00:38:00,560
Speaker 2: I love that buying moving blankets I'm trying to buy

700
00:38:01,160 --> 00:38:07,719
Speaker 2: moving blankets. And the people who are selling moving blankets

701
00:38:07,760 --> 00:38:13,040
Speaker 2: on Facebook Messenger, they got law personality, and they got

702
00:38:13,360 --> 00:38:15,239
Speaker 2: they got a lot of they got a lot of

703
00:38:15,280 --> 00:38:19,719
Speaker 2: pepper in their responses to everything. They're angry all the

704
00:38:19,800 --> 00:38:23,839
Speaker 2: time about people contacting them to try and buy their

705
00:38:23,880 --> 00:38:28,239
Speaker 2: fucking blankets. They're mad about it. You text them with them,

706
00:38:28,239 --> 00:38:29,600
Speaker 2: they're angry the whole time.

707
00:38:29,920 --> 00:38:30,360
Speaker 1: Why.

708
00:38:31,080 --> 00:38:33,160
Speaker 2: I don't know, because they're just like so many people

709
00:38:33,200 --> 00:38:36,400
Speaker 2: are asking me, and it's like you're selling something. Fucking

710
00:38:36,520 --> 00:38:39,200
Speaker 2: deal with it. You're making money off of something that

711
00:38:39,280 --> 00:38:41,799
Speaker 2: no one wants ever anymore, I know.

712
00:38:42,000 --> 00:38:44,839
Speaker 1: And also just deal with the first person say yes,

713
00:38:44,960 --> 00:38:47,640
Speaker 1: come tomorrow at eleven am and here's how much they cost.

714
00:38:47,880 --> 00:38:50,040
Speaker 1: And then the next person you go, I have somebody coming.

715
00:38:50,040 --> 00:38:52,120
Speaker 1: They're supposed to come at eleven am. I will message

716
00:38:52,160 --> 00:38:54,960
Speaker 1: you at eleven thirty if they're not here and you

717
00:38:55,000 --> 00:38:57,640
Speaker 1: can come pick them up. It's very easy to organize

718
00:38:57,640 --> 00:39:01,719
Speaker 1: selling blankets. And then as sous A sald you take

719
00:39:01,760 --> 00:39:05,360
Speaker 1: the add down. It's an these people, these people, you know,

720
00:39:05,400 --> 00:39:07,799
Speaker 1: I had this race once. You had a race, Yes,

721
00:39:08,200 --> 00:39:09,520
Speaker 1: when I saw race mountain bikes.

722
00:39:09,600 --> 00:39:12,839
Speaker 2: I so when you Okay, So explain a mountain bike

723
00:39:12,960 --> 00:39:16,320
Speaker 2: race to me. Is it like a long distance race?

724
00:39:16,560 --> 00:39:20,080
Speaker 1: Ok? Yeah? So I the type I did. I was sixteen,

725
00:39:20,200 --> 00:39:24,000
Speaker 1: I was fifteen, sixteen, seventeen, because that's how old I was.

726
00:39:24,520 --> 00:39:28,160
Speaker 1: I graduated high school when I was seventeen September baby,

727
00:39:28,640 --> 00:39:31,560
Speaker 1: and so I raced junior class on the NorVa Circuit,

728
00:39:31,680 --> 00:39:34,719
Speaker 1: which is like just you know, the organization, the over

729
00:39:34,920 --> 00:39:37,719
Speaker 1: seeing body. And I started a beginner and then moved

730
00:39:37,760 --> 00:39:39,680
Speaker 1: up to advanced beginner, and I think the next level

731
00:39:39,760 --> 00:39:42,480
Speaker 1: is called like intermedia, and so that's the highest ever got.

732
00:39:42,719 --> 00:39:46,040
Speaker 1: But it's cross country as opposed to downhill, and so

733
00:39:46,120 --> 00:39:48,319
Speaker 1: downhill is what you're imagining. You bomb down a ski

734
00:39:48,400 --> 00:39:50,920
Speaker 1: run on a bike with some suspension, you go really fast.

735
00:39:51,000 --> 00:39:53,839
Speaker 1: But I was really good at climbing. Okay, I could.

736
00:39:53,960 --> 00:39:56,040
Speaker 1: I was really fast because I was I was six

737
00:39:56,280 --> 00:39:58,720
Speaker 1: two and one hundred and fifty pounds. Wow.

738
00:39:58,840 --> 00:39:59,720
Speaker 2: Yeah, yeah yeah.

739
00:40:00,239 --> 00:40:01,960
Speaker 1: It was like a little bike frame. It was like

740
00:40:02,000 --> 00:40:05,800
Speaker 1: a bike frame riding a bicycle basically, and I was

741
00:40:05,840 --> 00:40:07,680
Speaker 1: an athlete, so it was really good. I was a

742
00:40:07,719 --> 00:40:10,320
Speaker 1: good and I did a handful of races in Maryland

743
00:40:10,360 --> 00:40:13,359
Speaker 1: and Pennsylvania and then I kind of did a half

744
00:40:13,400 --> 00:40:15,480
Speaker 1: assed race in Massachusetts when I was college, but it

745
00:40:15,520 --> 00:40:17,840
Speaker 1: had already started eating craps.

746
00:40:17,880 --> 00:40:22,040
Speaker 2: So but here's a question. So if it's cross country, yes,

747
00:40:22,680 --> 00:40:25,160
Speaker 2: are you still riding a bike that has all of

748
00:40:25,200 --> 00:40:28,360
Speaker 2: that intense suspension for going if you go uphill? Do

749
00:40:28,400 --> 00:40:29,880
Speaker 2: you come downhill after.

750
00:40:30,040 --> 00:40:32,680
Speaker 1: You have a front shock on? That's it? So there,

751
00:40:32,800 --> 00:40:34,000
Speaker 1: it's what's called a hearttale.

752
00:40:34,040 --> 00:40:37,040
Speaker 2: Okay, And so sorry you you started eating like shit.

753
00:40:37,000 --> 00:40:39,359
Speaker 1: So no, so you foun about this. One of the

754
00:40:39,400 --> 00:40:41,520
Speaker 1: earliest races, I was sixteen and it was a well

755
00:40:41,560 --> 00:40:43,400
Speaker 1: known race in Maryland and it was on Mother's Day

756
00:40:43,440 --> 00:40:45,839
Speaker 1: and it's called Mutter's Day, like mud look at that.

757
00:40:46,360 --> 00:40:48,840
Speaker 1: And it was a rainy day and I went.

758
00:40:48,760 --> 00:40:51,520
Speaker 2: Drove my moms want to do yeah, And.

759
00:40:51,440 --> 00:40:53,640
Speaker 1: I would drive myself out. And then I worked at

760
00:40:53,680 --> 00:40:56,000
Speaker 1: the bike doctor, So I had a jersey, a team

761
00:40:56,120 --> 00:40:59,640
Speaker 1: jersey yeah. And I would go find guys that were

762
00:40:59,640 --> 00:41:01,640
Speaker 1: over each team that were also on the team that

763
00:41:01,680 --> 00:41:03,680
Speaker 1: didn't know me because there were seven stores or whatever

764
00:41:03,719 --> 00:41:05,799
Speaker 1: eight stores, and I'd be like, hey, man, can you

765
00:41:05,880 --> 00:41:09,000
Speaker 1: sign this? Basically they had to sign as my legal

766
00:41:09,040 --> 00:41:12,000
Speaker 1: guardian so that I could race at sixteen, And so

767
00:41:12,160 --> 00:41:15,359
Speaker 1: while I'm signing up to do probably advanced, beginner, junior

768
00:41:15,360 --> 00:41:18,080
Speaker 1: blah blah blah blah blah. There was about thirty racers

769
00:41:18,160 --> 00:41:19,400
Speaker 1: and then the way it works curty is like it

770
00:41:19,520 --> 00:41:22,000
Speaker 1: usually starts, everybody lined up. There's sort of a sprint

771
00:41:22,120 --> 00:41:24,000
Speaker 1: over a field or some distance, and then you go

772
00:41:24,000 --> 00:41:26,200
Speaker 1: to what's called single track, which is narrow trails through

773
00:41:26,200 --> 00:41:29,000
Speaker 1: the woods, up and down hills, over rocks, creeking beds.

774
00:41:29,480 --> 00:41:32,680
Speaker 1: That's what cross country is. And this one was eighteen

775
00:41:32,680 --> 00:41:36,680
Speaker 1: miles somewhere thirty two miles and it takes a while

776
00:41:36,880 --> 00:41:40,200
Speaker 1: and it's really fun. So before when I was getting

777
00:41:40,200 --> 00:41:43,600
Speaker 1: signed up, you know, I'm fifteen, so everybody over twenty

778
00:41:43,640 --> 00:41:46,200
Speaker 1: five looks old to me, very old, ye. And there

779
00:41:46,239 --> 00:41:49,600
Speaker 1: was a guy in like a yellow bike kitch Jersey.

780
00:41:49,920 --> 00:41:52,319
Speaker 1: He's got his pearl zoomy bike shorts on, he's got

781
00:41:52,360 --> 00:41:56,680
Speaker 1: his bike helmet on, and it's so muddy, and the

782
00:41:56,760 --> 00:42:00,239
Speaker 1: rain starts coming and everybody's cheering because we're like, yeah,

783
00:42:00,360 --> 00:42:04,960
Speaker 1: muddy Mutter's day. And this guy just dives in the

784
00:42:05,000 --> 00:42:09,439
Speaker 1: biggest puddle and starts doing mud angels. He's howling, he's

785
00:42:09,480 --> 00:42:12,200
Speaker 1: slapping the water to make a mess he's rubbing the

786
00:42:12,239 --> 00:42:15,000
Speaker 1: muddy onself, and we're all like, oh, this guy's tried

787
00:42:15,000 --> 00:42:17,160
Speaker 1: to like psych everybody out because he must have a

788
00:42:17,239 --> 00:42:19,920
Speaker 1: race coming, and he's just trying to prove that he

789
00:42:19,960 --> 00:42:23,000
Speaker 1: doesn't care how cold, how muddy it is. Get it

790
00:42:23,040 --> 00:42:24,600
Speaker 1: over with, don't worry about because the rest of us

791
00:42:24,600 --> 00:42:26,880
Speaker 1: are stepping round puddles or riding our bikes around puddles.

792
00:42:27,560 --> 00:42:29,840
Speaker 1: So my race goes in. I race, and I don't

793
00:42:29,880 --> 00:42:32,520
Speaker 1: do that well. I think in my first three races,

794
00:42:32,560 --> 00:42:36,359
Speaker 1: i'd finished top five. I was good, but this one

795
00:42:36,480 --> 00:42:39,240
Speaker 1: I was just slipping out. I was getting stuck in mud,

796
00:42:39,320 --> 00:42:42,160
Speaker 1: like at stream Cross. It was just a I'm frustrated

797
00:42:42,200 --> 00:42:44,239
Speaker 1: because I'm a kid and I'm so competitive When I

798
00:42:44,280 --> 00:42:47,279
Speaker 1: was sixteen years old, so I probably finish in the

799
00:42:47,280 --> 00:42:52,799
Speaker 1: top fifteen, but thirteen fourteen, fifteen, and I'm pissed and

800
00:42:52,840 --> 00:42:55,840
Speaker 1: I'm bummed, and I'm wet, and I'm cold and my

801
00:42:56,000 --> 00:42:58,879
Speaker 1: leg's hurt. And you don't get a trophy. You don't

802
00:42:58,880 --> 00:42:59,480
Speaker 1: get anything.

803
00:43:00,200 --> 00:43:01,200
Speaker 2: Banana and that's it.

804
00:43:01,480 --> 00:43:03,360
Speaker 1: Yeah, you get as many bananas as you want. And

805
00:43:03,520 --> 00:43:06,439
Speaker 1: power bars were new flavors back then, so you got

806
00:43:06,440 --> 00:43:08,840
Speaker 1: a power bar and so I go back to my

807
00:43:08,880 --> 00:43:10,320
Speaker 1: car and I kind of strip out of all the

808
00:43:10,360 --> 00:43:12,200
Speaker 1: wet stuff and I towel off and I put on,

809
00:43:12,239 --> 00:43:14,640
Speaker 1: you know, just warm clothes, probably a lacrosse or soccer

810
00:43:14,680 --> 00:43:17,160
Speaker 1: warm up back in the day. And I go back

811
00:43:17,239 --> 00:43:19,000
Speaker 1: to the race start to see if I can see

812
00:43:19,000 --> 00:43:21,480
Speaker 1: any friends or other bike mechanics or whatever, and that

813
00:43:21,560 --> 00:43:25,319
Speaker 1: guy is still playing in the mud. So this guy

814
00:43:25,360 --> 00:43:27,719
Speaker 1: has not started racing. He's still got bike here on,

815
00:43:27,800 --> 00:43:31,520
Speaker 1: he still got clipless pedal shoes on. And finally some

816
00:43:31,680 --> 00:43:36,040
Speaker 1: person's like, yo, dude, what time is your race? The

817
00:43:36,120 --> 00:43:38,400
Speaker 1: guy goes, Oh, I'm too fat to race. I'm just

818
00:43:38,440 --> 00:43:43,400
Speaker 1: here to meet chicks, and everybody just celebrates, and it

819
00:43:43,480 --> 00:43:47,279
Speaker 1: lifted my spirits. It made me instantly realize. Also, this

820
00:43:47,400 --> 00:43:49,080
Speaker 1: race was in Maryland, so I was like, this is

821
00:43:49,120 --> 00:43:51,560
Speaker 1: the most Maryland weirdo of all time.

822
00:43:51,719 --> 00:43:52,759
Speaker 2: I love that so much.

823
00:43:52,800 --> 00:43:54,879
Speaker 1: Yeah, I'm too fat to race, man, I'm just here

824
00:43:54,880 --> 00:43:58,480
Speaker 1: to meet chicks. And everybody cheers and I'm like this guy,

825
00:43:58,560 --> 00:44:00,520
Speaker 1: And it was probably the moment I was like, what

826
00:44:00,560 --> 00:44:02,600
Speaker 1: am I? Why do I care? Why do I care?

827
00:44:02,640 --> 00:44:05,880
Speaker 1: I finished fourteenth out of forty riders. It was just

828
00:44:05,920 --> 00:44:09,080
Speaker 1: so funny to see this grown man like just hogging

829
00:44:09,160 --> 00:44:12,879
Speaker 1: out the bud. The chicks are talking to this guy.

830
00:44:13,480 --> 00:44:16,520
Speaker 1: He's just a one of one. It's good to be

831
00:44:16,600 --> 00:44:18,240
Speaker 1: one of one in those situations.

832
00:44:18,440 --> 00:44:20,600
Speaker 2: Oh man, I love that. That's great.

833
00:44:20,680 --> 00:44:21,239
Speaker 1: I like it that.

834
00:44:21,280 --> 00:44:23,560
Speaker 2: It was like kind of a turning point for you

835
00:44:23,600 --> 00:44:24,000
Speaker 2: as well.

836
00:44:24,120 --> 00:44:26,239
Speaker 1: It was it was like it made me happy that

837
00:44:26,280 --> 00:44:28,439
Speaker 1: I'm like, what, I don't care that I didn't win

838
00:44:28,520 --> 00:44:31,799
Speaker 1: a stupid medal that'll be on a shelf for four

839
00:44:31,880 --> 00:44:34,080
Speaker 1: years and my parents will secretly throw it away. What

840
00:44:34,080 --> 00:44:37,280
Speaker 1: do I care? Give us some Mother's Day.

841
00:44:37,239 --> 00:44:38,319
Speaker 2: Give us some thumbs up.

842
00:44:38,840 --> 00:44:40,879
Speaker 1: Oh yeah, I got some. I got some good ones.

843
00:44:40,920 --> 00:44:44,160
Speaker 1: Oh I got a great one, all right, I got okay.

844
00:44:45,880 --> 00:44:50,840
Speaker 1: Soue net soue net is in South Africa. Oh okay,

845
00:44:50,880 --> 00:44:55,360
Speaker 1: we have South African animals. Sue Nett wants a thumb

846
00:44:55,400 --> 00:44:59,759
Speaker 1: her husband you Han up for working his butt off

847
00:45:00,080 --> 00:45:03,360
Speaker 1: in North Dakota as an h two to a worker

848
00:45:03,480 --> 00:45:05,800
Speaker 1: that is like a foreign worker that comes and works

849
00:45:05,840 --> 00:45:10,080
Speaker 1: in agriculture in the United States. He's doing He's working

850
00:45:10,120 --> 00:45:13,719
Speaker 1: his tail off. This u haan who are thumbing up

851
00:45:13,880 --> 00:45:18,120
Speaker 1: because he's funding their dream of being full time Angora

852
00:45:18,280 --> 00:45:22,120
Speaker 1: goat farmers in South Africa. Whoa, So I said to

853
00:45:22,200 --> 00:45:24,399
Speaker 1: sun Nat, first of all, great name.

854
00:45:24,640 --> 00:45:24,839
Speaker 2: Yeah.

855
00:45:24,960 --> 00:45:29,640
Speaker 1: Second of all, Johann, you're the man. Let's see these goats,

856
00:45:29,800 --> 00:45:31,720
Speaker 1: because she was like, I'll send you pictures the goats.

857
00:45:31,719 --> 00:45:35,600
Speaker 1: I'body angora goats. I'm going to see something too. They

858
00:45:35,600 --> 00:45:37,520
Speaker 1: are the most adorable goats I've ever.

859
00:45:37,360 --> 00:45:39,240
Speaker 2: Seen, long haired goats.

860
00:45:39,520 --> 00:45:43,560
Speaker 1: Yeah, okay, there they look like little clouds, little happy clouds.

861
00:45:44,680 --> 00:45:49,160
Speaker 1: And I said, would you mind naming one of the

862
00:45:49,200 --> 00:45:52,640
Speaker 1: new goats Banana? And she said, I will name it Banana.

863
00:45:52,680 --> 00:45:54,799
Speaker 1: I'm going to put a yellow tag around its neck

864
00:45:54,840 --> 00:45:56,399
Speaker 1: and I'm going to send you a picture. So we're

865
00:45:56,400 --> 00:45:59,640
Speaker 1: going to have a South African a goora. Yes, yes,

866
00:46:00,760 --> 00:46:05,440
Speaker 1: named Nada. Thanks to Sunett and the wonderful, hard working

867
00:46:05,920 --> 00:46:07,440
Speaker 1: you Han. Thanks guys.

868
00:46:07,520 --> 00:46:08,319
Speaker 2: Thumb thumbs up.

869
00:46:09,120 --> 00:46:13,440
Speaker 1: Liz Man wants to thumb up her baby daughter's daycare teachers,

870
00:46:13,480 --> 00:46:17,600
Speaker 1: Miss Angela and Miss Christina. Yeah, now that's a sweet one.

871
00:46:17,640 --> 00:46:18,760
Speaker 2: That is a sweet one.

872
00:46:19,080 --> 00:46:21,960
Speaker 1: Liz's baby has been refusing to roll over or crawl,

873
00:46:22,120 --> 00:46:25,359
Speaker 1: but in daycare she has been scooting around backward all

874
00:46:25,440 --> 00:46:28,720
Speaker 1: day apparently, and this is so appreciative of the daycare teachers.

875
00:46:28,760 --> 00:46:31,799
Speaker 1: They aren't paid enough for teaching and caring for our

876
00:46:31,920 --> 00:46:34,360
Speaker 1: children when they are at their most vulnerable and have

877
00:46:34,480 --> 00:46:37,359
Speaker 1: the most neuron connections being made. This is a true

878
00:46:37,400 --> 00:46:41,040
Speaker 1: and animal This this Lisa man Or Yeah, Lisa man

879
00:46:41,080 --> 00:46:44,279
Speaker 1: Liza man true and animal thumbs up to use us,

880
00:46:44,360 --> 00:46:47,279
Speaker 1: Angela and miss Christina, thanks for taking care of them babies.

881
00:46:47,440 --> 00:46:51,160
Speaker 2: Also, Liza and I'm sure you've seen it, but if not,

882
00:46:52,600 --> 00:46:57,920
Speaker 2: go watch. There's a Bluey episode about that time of

883
00:46:58,000 --> 00:47:01,640
Speaker 2: like of a kid's life where your parent, especially with

884
00:47:01,800 --> 00:47:04,239
Speaker 2: your first child, you're like, when are they gonna roll over?

885
00:47:04,360 --> 00:47:07,000
Speaker 2: Like why aren't they Why aren't they crawling yet? Why

886
00:47:07,000 --> 00:47:09,680
Speaker 2: aren't they sitting up yet? Why aren't they doing this

887
00:47:09,719 --> 00:47:11,560
Speaker 2: thing yet? They're supposed to be doing this thing? And

888
00:47:11,600 --> 00:47:13,879
Speaker 2: it is like, as a new parent for first kid,

889
00:47:14,160 --> 00:47:17,000
Speaker 2: you're so like timing it all out. And it's an

890
00:47:17,000 --> 00:47:21,719
Speaker 2: excellent butute Bluey episode about it that is so it's

891
00:47:21,840 --> 00:47:25,160
Speaker 2: so zen and gorgeous and like it makes you feel

892
00:47:25,200 --> 00:47:28,839
Speaker 2: so good and cry. So go watch that and also,

893
00:47:28,920 --> 00:47:34,160
Speaker 2: don't worry your child will do all of the things eventually.

894
00:47:34,000 --> 00:47:39,440
Speaker 1: And more and more. A wave runner one day problem. Yeah,

895
00:47:39,480 --> 00:47:45,200
Speaker 1: probably probably Nothod's stopping her Echo Hansen also just still

896
00:47:45,239 --> 00:47:46,240
Speaker 1: just rolls everywhere.

897
00:47:46,280 --> 00:47:46,640
Speaker 2: He doesn't.

898
00:47:46,719 --> 00:47:48,360
Speaker 1: That's fine. He's really fast.

899
00:47:48,400 --> 00:47:50,400
Speaker 2: He's five. He can roll very quickly.

900
00:47:51,680 --> 00:47:55,600
Speaker 1: Echo Hansen, which is a beautiful name too, Hansen. Yeah, baby,

901
00:47:55,719 --> 00:47:58,960
Speaker 1: Echo Hanson. What's the thumber data? Your dad called her

902
00:47:59,000 --> 00:48:02,320
Speaker 1: out for dating the quote three biggest psychopaths in Southern

903
00:48:02,360 --> 00:48:07,000
Speaker 1: California and the band of Boys recently talked about how

904
00:48:07,120 --> 00:48:10,360
Speaker 1: psychos are often attractive. We did we Kurt did that

905
00:48:10,480 --> 00:48:13,560
Speaker 1: article and I found them all attractive. In two of them,

906
00:48:13,600 --> 00:48:17,120
Speaker 1: she says, were definitely considered conventionally attractive and hate they

907
00:48:17,160 --> 00:48:21,879
Speaker 1: had very successful businesses. And for context, I dated more

908
00:48:21,920 --> 00:48:24,400
Speaker 1: than three guys in my life. These three just happened

909
00:48:24,400 --> 00:48:28,279
Speaker 1: to be accused or convicted of violent fellows. Oh boy.

910
00:48:28,320 --> 00:48:31,520
Speaker 1: But the happy spin here is Echo hasn't dated a

911
00:48:31,600 --> 00:48:35,960
Speaker 1: psychopath in more than ten years. Yay. Thumbs up to

912
00:48:36,000 --> 00:48:38,400
Speaker 1: Echo's dad. A thumbs up to you, Echo for making

913
00:48:38,440 --> 00:48:42,000
Speaker 1: some smart decisions and changes in who you're picking to

914
00:48:42,080 --> 00:48:42,880
Speaker 1: be your partner.

915
00:48:43,440 --> 00:48:46,640
Speaker 2: Go for thumbs up. Thumbs up. I'm snapping. I'm snapping

916
00:48:46,800 --> 00:48:47,360
Speaker 2: like gen Z.

917
00:48:48,080 --> 00:48:51,480
Speaker 1: Yeah, gen Z loves a snap, Love a snap. It's cute.

918
00:48:52,040 --> 00:48:56,480
Speaker 1: It is cute. Last but not least. Murder Maven wants

919
00:48:56,520 --> 00:48:59,279
Speaker 1: to give a Mega Turbo huge thumbs up to her

920
00:48:59,360 --> 00:49:02,840
Speaker 1: husband Marge and I like Mega turbo huge. That's mega

921
00:49:03,080 --> 00:49:05,320
Speaker 1: is very it's a lot. We're going to start saying

922
00:49:05,320 --> 00:49:08,879
Speaker 1: that because of you, Murder Maven. Her husband Marty gets

923
00:49:08,960 --> 00:49:13,960
Speaker 1: a Mega Turbo huge thumbs up after smoking cigarettes for

924
00:49:14,280 --> 00:49:17,680
Speaker 1: thirty Yeah, he decided to quit.

925
00:49:17,960 --> 00:49:18,280
Speaker 2: Nice.

926
00:49:18,800 --> 00:49:21,360
Speaker 1: He's been sig free for over two months and he

927
00:49:21,440 --> 00:49:24,000
Speaker 1: feels better than he has in years. And he says

928
00:49:24,040 --> 00:49:27,520
Speaker 1: that even the smell of cigarette smoke now bothers him. Yeah,

929
00:49:27,640 --> 00:49:31,840
Speaker 1: Murder Maven is so proud of you, husband, Marty. Marty

930
00:49:32,040 --> 00:49:35,080
Speaker 1: thumbs up, buddy, and uh, don't ever go back.

931
00:49:35,160 --> 00:49:35,640
Speaker 2: Thumbs out.

932
00:49:35,760 --> 00:49:39,560
Speaker 1: Done with that era, Start a new era. Dude flips

933
00:49:39,560 --> 00:49:43,880
Speaker 1: on wave runners. Dude, Yeah, man, he's doing it. Everybody's

934
00:49:43,920 --> 00:49:46,320
Speaker 1: doing it. You want to send us home with one curdiebe.

935
00:49:46,080 --> 00:49:47,839
Speaker 2: I'll just give you something. I'll give you a little

936
00:49:47,840 --> 00:49:49,440
Speaker 2: taste and we'll get out of here.

937
00:49:49,520 --> 00:49:52,120
Speaker 1: Teazer, I think I was lucky.

938
00:49:52,360 --> 00:49:56,400
Speaker 2: New Jersey man wins three hundred and fifteen million million

939
00:49:56,440 --> 00:50:00,440
Speaker 2: dollars in a powerball jackpot because his wife made him

940
00:50:00,480 --> 00:50:05,640
Speaker 2: return orange juice that wasn't on sale. This guy he

941
00:50:05,719 --> 00:50:10,080
Speaker 2: bought five dollar orange juice, uh, and his wife was like, no,

942
00:50:10,320 --> 00:50:13,000
Speaker 2: I got it for two fifty, Go return this five

943
00:50:13,040 --> 00:50:15,919
Speaker 2: dollar arn juice. And he's like, yes, ma'am, and took

944
00:50:15,960 --> 00:50:19,800
Speaker 2: the orange juice back, returned it with the two to fifty,

945
00:50:19,920 --> 00:50:22,040
Speaker 2: and he got the two fifty orange juice. With the

946
00:50:22,080 --> 00:50:25,319
Speaker 2: two dollars and fifty cents left over, he bought a

947
00:50:25,360 --> 00:50:28,440
Speaker 2: power ball and won three hundred and fifteen million dollars

948
00:50:28,520 --> 00:50:31,480
Speaker 2: right there, and then that is there and.

949
00:50:31,400 --> 00:50:35,759
Speaker 1: Then absolutely truly bananas, my goodness.

950
00:50:35,239 --> 00:50:37,480
Speaker 2: And it all happened in New Jersey.

951
00:50:38,120 --> 00:50:41,920
Speaker 1: Damn. Right now she can get the most expensive oj

952
00:50:42,200 --> 00:50:48,320
Speaker 1: without feeling guilt. Damn. That is uh. That is so lucky.

953
00:50:48,440 --> 00:50:53,839
Speaker 1: That is unlovably lucky. That story, my goodness. I told

954
00:50:53,840 --> 00:50:55,560
Speaker 1: this before. But when I was a surve I did

955
00:50:55,600 --> 00:50:59,560
Speaker 1: so many brunches, so many brunches, and I had this

956
00:50:59,600 --> 00:51:03,480
Speaker 1: one manager that watch me make a mimosa, and he goes,

957
00:51:03,480 --> 00:51:05,919
Speaker 1: what the fuck are you doing away? He goes, drop

958
00:51:06,000 --> 00:51:10,120
Speaker 1: a canna is like four point fifty a container that's

959
00:51:10,200 --> 00:51:13,200
Speaker 1: champagne Andre that's like two dollars a bottle. Fill that

960
00:51:13,239 --> 00:51:15,359
Speaker 1: shit to the top with champagne and top it off

961
00:51:15,400 --> 00:51:19,160
Speaker 1: with the OJ. Whoa, the orange juice in Brooklyn was

962
00:51:19,200 --> 00:51:22,400
Speaker 1: more expensive than the champagne, so our mimosas were just

963
00:51:22,560 --> 00:51:25,680
Speaker 1: cranking with champagne with just a splash of OJ.

964
00:51:25,960 --> 00:51:27,760
Speaker 2: Oh my god, that's so funny.

965
00:51:28,239 --> 00:51:32,000
Speaker 1: Oh, good old Andre Champagne. Man, the hangovers that must

966
00:51:32,000 --> 00:51:33,800
Speaker 1: have rolled out of that for real.

967
00:51:34,040 --> 00:51:38,920
Speaker 2: I never drink mimosas for that exact reason. All right, folks,

968
00:51:39,360 --> 00:51:42,160
Speaker 2: bananas love you annas, Thank you so much for listening

969
00:51:42,200 --> 00:51:44,160
Speaker 2: to this show makes us happy.

970
00:51:44,480 --> 00:51:47,120
Speaker 1: Can't believe it. Yeah, keep it going. And if you're

971
00:51:47,160 --> 00:51:49,960
Speaker 1: listening to us, let us know where you're listening to us.

972
00:51:50,000 --> 00:51:52,600
Speaker 1: Are you at work? Are you out? Are you exercising?

973
00:51:52,680 --> 00:51:55,279
Speaker 1: Are you cleaning the house? Are you cleaning somebody else's house?

974
00:51:55,280 --> 00:51:58,040
Speaker 1: Are you driving? Just dms and say, guys, when I

975
00:51:58,080 --> 00:52:00,879
Speaker 1: listen to you, I listened to you here doing this

976
00:52:01,480 --> 00:52:05,160
Speaker 1: because sometimes it's giving birth, sometimes it's in chemo, but

977
00:52:05,320 --> 00:52:09,720
Speaker 1: sometimes it's just being in the front yard smoking a dube,

978
00:52:10,080 --> 00:52:13,080
Speaker 1: hanging out. Yeah, we want to know. We like to

979
00:52:13,120 --> 00:52:14,879
Speaker 1: know what you're up to while you're listening to them

980
00:52:14,920 --> 00:52:20,400
Speaker 1: Banana boys being silly gooses. This has been bananas ban

981
00:52:25,560 --> 00:52:28,120
Speaker 1: Bananas is an exactly right media production.

982
00:52:28,280 --> 00:52:30,520
Speaker 2: Our producer and engineer is Katie Levine.

983
00:52:30,560 --> 00:52:33,760
Speaker 1: The catchy Banana theme song was composed and performed by Kahan.

984
00:52:34,000 --> 00:52:37,320
Speaker 2: Artwork for Bananas was designed by Travis Millard.

985
00:52:37,000 --> 00:52:39,800
Speaker 1: And our benevolent overlords are the great Karen Kilgareff and

986
00:52:39,840 --> 00:52:41,160
Speaker 1: Georgia Hartstart.

987
00:52:40,760 --> 00:52:43,360
Speaker 2: And Lisa Maggott is our full human, not a robot,

988
00:52:43,400 --> 00:52:44,520
Speaker 2: part time employee.

989
00:52:44,640 --> 00:52:48,719
Speaker 1: You can listen to Bananas on the iHeartRadio app, Apple Podcasts, Spotify,

990
00:52:48,960 --> 00:52:52,439
Speaker 1: or wherever you get your podcasts, and please feel free

991
00:52:52,480 --> 00:52:54,600
Speaker 1: to rate and review as many times as you can.

992
00:52:54,719 --> 00:52:57,400
Speaker 1: We love those five stars Bananas