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Speaker 1: Are you ready for it? Hit me?

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Speaker 2: I'm ready to laugh and luff and loaf Horse joins

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Speaker 2: cyclist Race wins, shocking, shocking.

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Speaker 1: Oh that thing that can run I don't know fifty

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Speaker 1: miles an hour. Well, get you up. We're back in

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Speaker 1: the saddle for a brand new episode of Bananas Podcast.

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Speaker 2: I said.

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Speaker 1: Your world of fad? Would you believe it's you? My

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Speaker 1: j sillion pieces? What's you? Banana? Banana?

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Speaker 2: Banana banana guys Gala's non binary pouts, Welcome to Bananas.

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Speaker 1: I am Kurb Brown Older, I'm banana boy number two.

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Speaker 1: Scotti Landis. Thank you so dearly for listening to the

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Speaker 1: silliest little podcast there ever was. We're recording live together

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Speaker 1: in Kurt's garage slash office. I'm next to seven surfboards

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Speaker 1: and it's already dark outside at four forty one, so

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Speaker 1: so sad how dark it is. And this is the

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Speaker 1: way it's supposed to be in the standard time. I

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Speaker 1: like that we had a lot of ban animals send

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Speaker 1: us the reason for daylight savings, like whyatt started Because

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Speaker 1: everybody thinks it's because of farmers, but that's not true. No,

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Speaker 1: but and it's really because of one entomologist in New

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Speaker 1: Zealand who wanted to do his hobby and study insects

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Speaker 1: after work longer. One guy introduced it to New Zealand.

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Speaker 1: Then years later the Germans were like, this is good

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Speaker 1: for conserving fuel and energy. And then like two or

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Speaker 1: three years after that, America's like, yes too, and now

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Speaker 1: we're all screwed. Now we're all tired and panicked for

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Speaker 1: a week the whole time I said it.

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Speaker 2: And also with children, man, ugh, with children. Now Gus

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Speaker 2: just wakes He was waking up at like five thirty.

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Speaker 2: Now he just wakes up at fourth thirty. Ough, he

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Speaker 2: just wakes up at four thirty four. He's an insane time.

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Speaker 1: Yeah, four thirty coming home from the bars, great time,

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Speaker 1: four thirty waking up to start your day. Nightmare scenario,

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Speaker 1: nightmare scenario, the worst. Well, damn that stinks.

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Speaker 2: Also, they have more heart attacks, car accidents, and like

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Speaker 2: accidental flipping deaths on this day.

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Speaker 1: Don't we vote against this every year?

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Speaker 2: We voted against it last year, and then all these

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Speaker 2: scientists came out. We're like, no, no, no, you have

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Speaker 2: to because we were gonna make a daylight standard time,

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Speaker 2: our daylight savings time, year round and that they say

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Speaker 2: is not healthy.

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Speaker 1: It has to be standard time, year round, so it

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Speaker 1: has to be this year round. I listened to this

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Speaker 1: No One Wants Huberman podcast, that's super smart Stanford doctor guy. No,

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Speaker 1: I don't know him. I don't listen to super smart stuff. Shocking.

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Speaker 1: Every white person I've ever met is like just telling me, like,

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Speaker 1: do you listen to Huberman or Huberman? And I'm like yeah,

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Speaker 1: and he does went on sleep? You're sticking my fingers

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Speaker 1: it out lett Yeah, and he does what on sleep?

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Speaker 1: That is very like very people are sensitive. But the

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Speaker 1: one thing he did that I've started to do since

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Speaker 1: I listened to this three months ago is it's like

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Speaker 1: in the morning, look outside and get that blue light

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Speaker 1: and that natural sunlight it like wakes you up as

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Speaker 1: well as coffee. Yeah, And so every morning I like

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Speaker 1: get out of bed, you know, BedHead standing there in boxers,

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Speaker 1: just standing out the window. Just look like a real creep.

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Speaker 1: Oh it does work, I will say.

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Speaker 2: Yeah, I mean I naturally do that because I have

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Speaker 2: to get the children to school. Children make you live

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Speaker 2: on a like a very solar circadian rhythm.

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Speaker 1: I know you know now you're saying, I've never thought

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Speaker 1: of this, but for the last however, old all of

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Speaker 1: is eight seven six six the last six years, you

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Speaker 1: have been awake probably three hundred and sixty five Like

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Speaker 1: you've probably been awake for twelve thousand more hours than

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Speaker 1: I have. Yes, probably some insane number of hours that

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Speaker 1: you've physically been awake more than I have. So I

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Speaker 1: owe you a beer at least. All right, here's on me.

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Speaker 2: And you know what, you will buy you a beer

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Speaker 2: if you come on down to Philadelphia.

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Speaker 1: Uh huh Philadelphia.

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Speaker 2: I always say it with a thh you're from Jersey

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Speaker 2: or Pittsburghburgh, Pennsylvania. And yeah, with December, I'll be there

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Speaker 2: doing in Philly, doing stand up December eighth at Helium.

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Speaker 2: Somber ninth, We're doing a live bananas podcast December tenth

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Speaker 2: in uh at the Improv in Pittsburgh.

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Speaker 1: Guys, last podcast, last live podcast for a while. Yeah,

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Speaker 1: and I want to drop a gauntlet mm hmm and

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Speaker 1: new You and I haven't discussed this, but what do

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Speaker 1: you think of this? Why don't you and I do

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Speaker 1: the same news stories and tell our own stories at

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Speaker 1: both shows and the Louder show makes the fun. Why

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Speaker 1: don't we put Pittsburgh versus Philly. Whatever crowd is more

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Speaker 1: into it, rowdier, more fun. That's the one of your release,

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Speaker 1: and the other one just goes in the shredder. What

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Speaker 1: do you think is that crazy? It's not crazy. Let's

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Speaker 1: do it. It's not crazy. Scotty Gauntlet drop. The gauntlet

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Speaker 1: is drop. Pittsburgh versus Philly. Oh my god, I.

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Speaker 2: Mean, I mean this is there's already a competition in Pennsyltucky,

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Speaker 2: and this is gonna just crank it away out there.

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Speaker 1: You know, in my experience there there are more things

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Speaker 1: to do in Philadelphia, but then Pittsburgh, I have wilder,

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Speaker 1: more fun nights. So I don't know who's gonna show up. Yeah,

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Speaker 1: I don't know who's going to win this. I love

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Speaker 1: that loudest, rowdiest Bananaal's crowd makes makes the air. The

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Speaker 1: other one just goes into the lost episode pile, which

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Speaker 1: of there's only three, so that's very sad. Do you

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Speaker 1: want to hear about this horse? Yeah, Horse winds a

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Speaker 1: bike Rice. It is so delightful to watch him go.

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Speaker 1: That's fine.

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Speaker 2: The video this is a This was sent in by

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Speaker 2: Brack Coulan.

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Speaker 1: Thank you.

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Speaker 2: It's almost like broccoli, but with cool in there and

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Speaker 2: this is I found on Cycling Weekly. Mm because got

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Speaker 2: brock Cooolan just sent me a like a TikTok cool.

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Speaker 2: Over eight million people have watched this TikTok video of

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Speaker 2: a Tour de France horse incident. What a terrible title

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Speaker 2: I wish New York Post wrote Cycling News. Oh yeah,

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Speaker 2: because we would get like horse fucks bikes or whatever.

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Speaker 1: Yeah, horse horse screws one hundred bike riders comes out

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Speaker 1: on top. This was written by Tom Davidson. Really good typer.

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Speaker 2: Tember twenty seven, twenty three, a video was surfaced online

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Speaker 2: of a horse galloping through the peloton at a bike

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Speaker 2: race and has been watched by over eight million people

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Speaker 2: in under twenty four hours. Shared on Tuesday afternoon on X,

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Speaker 2: the social media platform.

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Speaker 1: For nobody's on it anymore? Come off? I mean, my

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Speaker 1: thing is there, but I just don't go. I deleted it.

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Speaker 1: I'm off my more X for this boy. The archive footage.

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Speaker 2: Shows a silky brown horse. Is that a type of

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Speaker 2: horse or is he just getting kind of fancy?

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Speaker 1: I don't think there's a silky brown It sounds like

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Speaker 1: a blues singer from Memphis nineteen forties. Silky Brown now

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Speaker 1: that's like that is like an h orp Orpington. That's

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Speaker 1: a buff orpington. That's a buffet. Silky brown, silky brown,

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Speaker 1: I don't know all right.

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Speaker 2: Shows a silky brown horse leap over a fence, out

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Speaker 2: of its paddock and into the fast moving bunch. It

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Speaker 2: then careers through the front of the group to lead

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Speaker 2: the race. What extraordinary images. The French commentator says, this

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Speaker 2: is a safety problem for the riders. They left to

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Speaker 2: really watch at Okay. Although originally thought to have taken

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Speaker 2: place at the Tour de France, the incident is actually

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Speaker 2: from the nineteen ninety seven Criterion International, a three stage

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Speaker 2: race held in the south of France. The horses cameo

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Speaker 2: came on stage one and was later remembered by sprinter

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Speaker 2: Frederick mcasson in poetic detail. When it jumped and landed

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Speaker 2: on the road, it was impressive. The sound of the hose,

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Speaker 2: the sparks, the horse's breath is that poetic? Okay, okay,

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Speaker 2: So spellbinding was the site that four years later, the

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Speaker 2: film director Jean Pierre J. Knew inserted the footage into

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Speaker 2: his movie Amie Do you remember this? I Don't now?

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Speaker 1: A cold classic and for Love I've definitely seen it

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Speaker 1: two or three times.

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Speaker 2: I saw Once in the theater when I was a teenagers.

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Speaker 1: A very good movie. If you haven't seen Omilee, Walk,

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Speaker 1: don't run. It'll be there. It'll be there, going anywhere.

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Speaker 1: A lot of people have known about it for years.

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Speaker 1: You're not missing out. There's not a cult it. It's

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Speaker 1: there when you're ready for it. Watch download babble dot

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Speaker 1: com and then go ahead and watch Amilee blah blah

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Speaker 1: blah blah blah.

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Speaker 2: So uh, the video is co crazy. You have seen it, Okay,

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Speaker 2: it's beautiful. He gets so excited and then just boom

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Speaker 2: right over in the middle and then he's way out

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Speaker 2: in front of everybody.

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Speaker 1: It makes you realize that caged animals, that zoo animals,

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Speaker 1: that farm animals, could escape at almost at any time

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Speaker 1: if they really wanted to.

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Speaker 2: Also, it's like that whole thing of like running with

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Speaker 2: a with a herd of horses and stuff.

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Speaker 1: Heard horse herd? Sure, pack of horses? What does a

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Speaker 1: group of horses? I a harass a rag for colts

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Speaker 1: and a stud what? No, it's just a band of horses. Yeah,

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Speaker 1: it's just a horse. It's just a herd. Yeah, it's

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Speaker 1: just a herd, just a herd. It might be the

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Speaker 1: original herd, that might be. I I don't know. I

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Speaker 1: always thought herds were cows.

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Speaker 2: Everybody knows murder, But do you want to know about

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Speaker 2: all the animals in bicycling than anything?

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Speaker 1: Cyclist News has it for us, Thank goodness.

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Speaker 2: Twenty eleven eleven Criterion de Dauphin Mike Landa crashed at

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Speaker 2: speed into a cow.

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Speaker 1: Oh boy.

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Speaker 2: Twenty seventeen, Stage six of the Tour of Poland, an

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Speaker 2: untethered pony nestled itself in the peloton and ran through

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Speaker 2: a village before it was marshall to the side of

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Speaker 2: the road.

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Speaker 1: Yeah. Sure.

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Speaker 2: An incident also arose earlier this year. In the women's

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Speaker 2: race at Strabiance and route to Siena, a horse similar

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Speaker 2: in appearance to the one from the nineteen ninety seve

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Speaker 2: Criteria International Silky Brown, emerged in front of SD works.

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Speaker 2: Is Demi voloring?

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Speaker 1: What I don't know is that what are those words? Okay?

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Speaker 1: Demi vauloring?

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Speaker 2: Is a woman st works as a company that sponsors her,

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Speaker 2: I guess, causing the Dutch woman to shriek loudly. The

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Speaker 2: event horse led horse led the race for a kilometer

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Speaker 2: or so before it slid out on a left hand

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Speaker 2: gravel bend.

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Speaker 1: And tumbled off the road. Is Latana is fine?

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Speaker 2: The horses owner rode on Facebook a few days antibiotics

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Speaker 2: a lot of fear, but in the end everything ended well.

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Speaker 1: Did you have to mention a lot of fear? I

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Speaker 1: mean it probably was a good amount of fear. Horses

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Speaker 1: are very big animals, Like they get scared easily. Yeah

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Speaker 1: they are. They really do.

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Speaker 2: They really do for for an animal that is so

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Speaker 2: big that I've only ever known them to have one emotion,

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Speaker 2: which is getting like spooped yey things.

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Speaker 1: Right, Yes, they do seem to be real jumpy. Oh

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Speaker 1: it's heard. That's why it's a herd animal. I see.

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Speaker 1: I rode horse give it to me iland in just

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Speaker 1: recently and recently I guess that was August Ish. I

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Speaker 1: went just outside of Limerick, Ireland. There's a place called

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Speaker 1: Castle Fergus and they have a boarding horse jumping was

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Speaker 1: so cute. We pulled up there's like, I don't know,

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Speaker 1: fifteen young girls and two boys just learning how to

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Speaker 1: jump horses and ride correctly. And we go in this

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Speaker 1: really nice farmer named John, like this walks with us

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Speaker 1: in the field, and we walked through a field of

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Speaker 1: sheep and cows and they are all watching us go by.

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Speaker 1: So I had a huge draft horse, like a farm

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Speaker 1: horse named blue Yeah, he was a white horse. And

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Speaker 1: Bluey was so food motivated that they had to tie

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Speaker 1: like part of his reins to the saddle so his

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Speaker 1: head couldn't go all the way down the ground, or

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Speaker 1: he just wouldn't walk. He would just stand and eat

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Speaker 1: grass the whole time. The best part about blue was

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Speaker 1: about it was probably about an hour and a half

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Speaker 1: of riding, and it was so fun. I mean, it

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Speaker 1: was Ireland on horseback. It's incredible. And we rode through

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Speaker 1: like a ferry garden where they had like fair circles

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Speaker 1: and walls, and they were like, yeah, don't knock any

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Speaker 1: of this over, like we really believe, like these are

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Speaker 1: like little sacred areas. Okay, it's cool. So but blue

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Speaker 1: did this thing where I was in the middle and

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Speaker 1: Bluey three steps in a row, sneezed, farted, sneezed, farted, sneeze, farted.

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Speaker 1: I was giggling so hard I was afraid I was

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Speaker 1: going to spook them. But you said that that's what

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Speaker 1: maybe he spooked me. Yeah, sneeze fart, sneeze fart, sneeze far.

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Speaker 1: It was perfection. It was incredible.

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Speaker 2: I think the one of the only times I've ever

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Speaker 2: been on a horse. I was ten or twelve on

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Speaker 2: Mackinaw Island in Michigan. Yeah, with my dad and my

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Speaker 2: stepmom and my brother and sister and me, and I

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Speaker 2: was behind my younger brother and my horse did nothing

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Speaker 2: but bite the other horses ass oh, exactly. And then

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Speaker 2: I just kept laughing and I think he was so funny,

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Speaker 2: and Walter just kept getting more and more upset. But

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Speaker 2: then in retaliation, that horse in front just started shitting exactly,

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Speaker 2: like yeah, trying to like shit on it. When it

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Speaker 2: would bite him, he would start to shit, and so

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Speaker 2: then it's like kind of it's just like plopping down.

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Speaker 2: It's like it's this battle between these two horses. And

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Speaker 2: it lasted four I don't know, it's like an hour

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Speaker 2: long ride. Yeah, they were doing it the whole time,

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Speaker 2: Like he kept holding shit, I guess till it went

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Speaker 2: till the other one would bite him, and then he

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Speaker 2: would shit.

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Speaker 1: It was the craziest thing. They're great. I actually really

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Speaker 1: enjoyed it more. I'd grown up in Maryland where people

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Speaker 1: ride a lot of horses, and some friends of mine

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Speaker 1: even in high school, had horses and stuff.

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Speaker 2: Is Maryland the one has the tiny horses on the

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Speaker 2: island and a.

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Speaker 1: Well, sure, yeah, they have wild ponies and they swim

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Speaker 1: from island to island every year and people go out

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Speaker 1: watch him swim. Yeah, there's actigue and I think it's chinkatigue,

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Speaker 1: which might be Virginia. I don't know if that's Maryland,

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Speaker 1: but it's the same thing. And it was like a

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Speaker 1: Spanish galleon went down with all these horses and they

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Speaker 1: all swam off and that's why they're there. So it's

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Speaker 1: like a sunken and they just got littler over time

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Speaker 1: because there's not that much to eat. Yeah, they're not

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Speaker 1: like Shetland ponies. They're not little, like they're big enough

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Speaker 1: to like you'd be scared of fun. But it is weird,

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Speaker 1: I will say, like as a kid, we didn't go

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Speaker 1: there too often. I've probably been there, I think only

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Speaker 1: two times. But it is weird to be on a

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Speaker 1: very beautiful yellow white sand beach looking in the waves

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Speaker 1: and there's a horse standing there crapping in the ocean

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Speaker 1: and just looking out at the ocean, having deep thoughts

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Speaker 1: like I wonder how far the horizon goes? There is

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Speaker 1: this China in this direction or is it more like

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Speaker 1: New Zealand? Oh my god, that really reminded me of

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Speaker 1: So we were. It was Derek Brown and I.

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Speaker 2: It was Eugene Merman's wedding on Cape Cod Cool and

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Speaker 2: so Derek Brown and I had walked out into whatever

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Speaker 2: the sound is that's right.

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Speaker 1: There, bay Real So you Martha's vineyard or whatever.

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Speaker 2: Yeah, And so we had walked out and we had

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Speaker 2: walked out, I don't know, it felt like a quarter mile,

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Speaker 2: so we were kind of far out, but we're only

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Speaker 2: knee deep in water still. And then from a beach

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Speaker 2: maybe maybe a full mile away, maybe two miles away,

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Speaker 2: a guy and a horse on a horse rides the

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Speaker 2: horse into the ocean and then just keeps riding and

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Speaker 2: it's prancing and he is like bedazzled from top to

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Speaker 2: tip to toe. He's got on like incredible, Yeah, a

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Speaker 2: bedazzled like uh, like denim vest sure, armless armless denim

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Speaker 2: vest a hat totally town. We were we were in Provincetown, huh.

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Speaker 2: And he just keeps riding and riding and riding and riding,

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Speaker 2: and Derek and I are just sitting there and it

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Speaker 2: takes it's a long time for like.

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Speaker 1: A horse to walk through two feet of water.

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Speaker 2: Oh yeah, right, so but it's heading dead towards us

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Speaker 2: for a long time, long enough for Derek to be like,

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Speaker 2: I'm going in. And so Derek goes in, and I'm like, okay,

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Speaker 2: I'll be in in a little bit. And then I'm

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Speaker 2: just sitting there. This horse is just coming and coming

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Speaker 2: and coming and coming and coming coming, and it finally

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Speaker 2: the guy comes up. Yeah, and then I was like

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Speaker 2: I was ready to go in at that time, but

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Speaker 2: then then there was this horse there, so he like

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Speaker 2: came up. And then the guy just kind of stopped

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Speaker 2: like like four or five feet away from me, and

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Speaker 2: I was just like hey, And he didn't say anything,

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Speaker 2: all right.

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Speaker 1: Just turned around a walkway, just stay there. It's like

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Speaker 1: just the log is built up for like nothing. Was

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Speaker 1: he coming to chat? Did he think I was somebody else?

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Speaker 1: Was he whistling something? Does he does he have old

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Speaker 1: ancient wisdom to let you know about the seas and

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Speaker 1: the future and time? Nope? Nope, just an older gay

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Speaker 1: dude on a horse mute coming right up. And then

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Speaker 1: it was like hey, and they're just nothing, no chats,

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Speaker 1: and that I just turned and walked away. That's so interesting.

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Speaker 1: I guess any animal that you don't assume should be

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Speaker 1: in the ocean is just funny. Any mammal when you like,

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Speaker 1: I've seen a deer in the ocean before and you're like,

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Speaker 1: what is this? Yeah, just walking in the ocean having

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Speaker 1: a bear or no, you didn't see a bed. No,

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Speaker 1: I was near by the Yeah, that was it this summer,

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Speaker 1: and oh I was driving across the Panhandle, so I guess. Yeah.

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Speaker 1: I was at the Black Bear Cafe and I was like, cool,

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Speaker 1: name of a lot of black bears around here. She

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Speaker 1: was like no, ha ha. And then that day a

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Speaker 1: black bear swam up in sandstin and walked onto the

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Speaker 1: beach and I'm like, okay, okay, I'm an oracle. World's over.

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Speaker 1: I wonder how fast so that horse smoked? Those riders? Yeah,

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Speaker 1: average very plate of Lance Armstrong in the Tour de France.

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Speaker 2: Average speed. I'm gonna guess thirty miles an hour.

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Speaker 1: That's a great guess. Let's see if the wireless fidelity works.

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Speaker 1: His average speed was forty one forty one seven kilometers

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Speaker 1: twenty five point nine miles an hour. But that's average speed.

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Speaker 1: So he was cranking. Yeah, so that horse was doing

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Speaker 1: forty miles an hour. That's wild. And imagine if that

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Speaker 1: horse had used as many illegal drugs as.

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Speaker 2: Lance Armstrong, he could a gun on forever and then

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Speaker 2: had his heart and then exploded.

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Speaker 1: If anybody goes to Limerick, Ireland, go ride horses. If

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Speaker 1: you ride BLUEI just be prepared for sneezing and farting.

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Speaker 1: He was a great I liked horseback riding. I wonder

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Speaker 1: if we could ever do a bananas.

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Speaker 2: On horseback it would it would sound it would sound

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Speaker 2: the same, probably, but I'm willing to try.

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Speaker 1: Maybe we do, like maybe we talked to er and

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Speaker 1: do a bonus. So that's thirty minutes so before our

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Speaker 1: gooches and thighs are too sore. We really get a

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Speaker 1: good few stories. I love it. Give us one. This

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Speaker 1: is from Crystal Hudgeons. She sent this in. That's a

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Speaker 1: good name. That is a great name. Crystal Hudgens is

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Speaker 1: like the person that goes to the other school that

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Speaker 1: throws great parties on weekends, like where you guys were like,

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Speaker 1: we're gonna go over to Crystal's pool. Crystal Crystal Hudgeons.

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Speaker 1: That's a cool name. That's a class. This was in

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Speaker 1: w fla Tampa written by Sarah Best in the Beeswax

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Speaker 1: Phillips uber driver leaves stolen rental car running for three

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Speaker 1: weeks straight to avoid payments. Wait what Yeah? This is cool? Okay,

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Speaker 1: and this keeps giving. I think this is the one

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Speaker 1: that I was reading. I'm like, this is a lot

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Speaker 1: of good stuff, okay. Polk County, Florida, a twenty seven

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Speaker 1: year old Florida man was ubering a couple from the

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Speaker 1: United Kingdom in a stolen uber in Polk County that

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Speaker 1: he left running for three three straight weeks. According to deputies,

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Speaker 1: on Tuesday night around nine thirty seven pm, Elijah Mills

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Speaker 1: was driving the couple who were getting married next week

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Speaker 1: congratulations on US twenty seven in the four Corners area

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Speaker 1: of Davenport. Multiple Polk County Sheriff patrol cars pulled Mills over,

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Speaker 1: boxing him in and forcing him to stop. They discovered

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Speaker 1: that the Chevy Equinox Mills was driving wasn't his. He

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Speaker 1: had rented it from a car company into our and

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00:20:00,359 --> 00:20:03,960
Speaker 1: area and then decided to stop making payments, so he

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00:20:04,040 --> 00:20:05,960
Speaker 1: stole it, and that he got it and then you

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00:20:06,080 --> 00:20:07,720
Speaker 1: just stopped paying for it and kept the car. But

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00:20:07,800 --> 00:20:10,920
Speaker 1: it's a rental right, Okay, So yeah, he basically rent

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00:20:10,960 --> 00:20:13,119
Speaker 1: a car, just didn't bring it back, which is with

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00:20:13,320 --> 00:20:16,880
Speaker 1: new cars and on Star and it's pretty bald. Yeah,

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00:20:17,119 --> 00:20:21,000
Speaker 1: it's a matter track you. It is a real egg

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Speaker 1: timer of a crime. The company then reported the rental

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00:20:24,800 --> 00:20:28,240
Speaker 1: cars stolen. Mills told officials the company called him every

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00:20:28,359 --> 00:20:30,800
Speaker 1: day and he eventually stopped entering because they would just

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Speaker 1: ask for payments. I bet they did. According to the

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00:20:36,960 --> 00:20:39,920
Speaker 1: Sheriff's Apartment, Meals told authorities, the company equips cards with

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Speaker 1: a device that keeps the vehicle from restarting when people

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Speaker 1: don't pay.

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Speaker 2: Right, Yes, we have that. We recovered this on a

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Speaker 2: different day.

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Speaker 1: Yes, Chevy was going to do that with their trucks

396
00:20:49,520 --> 00:20:53,560
Speaker 1: or Ford something like that. Allegedly, this meant Mills kept

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Speaker 1: the rental car running for three weeks straight.

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Speaker 2: I mean the fact that he knew that means he's

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00:20:58,760 --> 00:20:59,399
Speaker 2: done it before.

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00:20:59,640 --> 00:21:03,119
Speaker 1: Yeah, it's pretty incredible. So Mills was arrested and charged

401
00:21:03,160 --> 00:21:06,280
Speaker 1: with grand theft of a motor vehicle, driving with a

402
00:21:06,320 --> 00:21:10,400
Speaker 1: suspended license and he did. That's right. He didn't even

403
00:21:10,480 --> 00:21:12,960
Speaker 1: have a vowed license to drive for Uber, which is

404
00:21:13,000 --> 00:21:15,119
Speaker 1: crazy that you could rent a car with a suspended license.

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00:21:15,800 --> 00:21:20,040
Speaker 1: Uh yeah, well yeah, anyways, so maybe it's on the

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00:21:20,080 --> 00:21:22,520
Speaker 1: rental car. It's their fault. So as for the bride

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00:21:22,560 --> 00:21:24,639
Speaker 1: and groom to be, deputy snapped a quick photo of

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00:21:24,760 --> 00:21:27,520
Speaker 1: them and drove them to their destination. But yeah, this

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00:21:27,600 --> 00:21:29,399
Speaker 1: guy was just filling in the gas tank. Could just

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00:21:29,560 --> 00:21:33,760
Speaker 1: let it ride, which just three weeks. For three weeks

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00:21:34,080 --> 00:21:35,760
Speaker 1: must have been driving a lot of a lot of

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Speaker 1: trips to pay off that easy. Even though I don't

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00:21:38,440 --> 00:21:40,359
Speaker 1: remember gas in Florida, it might be one of those

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00:21:40,400 --> 00:21:42,840
Speaker 1: places where gas is still like one dollar and seventy

415
00:21:42,960 --> 00:21:45,200
Speaker 1: nine cents and you're like, cool, yeah out here it's

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00:21:45,280 --> 00:21:47,280
Speaker 1: it's showing at like seven to twelve, and you're like,

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00:21:48,000 --> 00:21:51,560
Speaker 1: all right, so twenty dollars gets me three gallons of gas?

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Speaker 1: Not even I know. I got to get an electric

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Speaker 1: at some point. I haven't even got I love. I

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00:21:59,440 --> 00:22:02,200
Speaker 1: loved early Uber when it was new, when it was

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00:22:02,400 --> 00:22:06,080
Speaker 1: cheap and it was incredible, and then there was competition.

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00:22:06,200 --> 00:22:08,119
Speaker 1: It was like lyft side car out in La we

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00:22:08,200 --> 00:22:11,320
Speaker 1: had so many, but there was one that Flula Borg,

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00:22:11,359 --> 00:22:13,960
Speaker 1: who we know very well. I believe he worked for

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00:22:14,040 --> 00:22:18,639
Speaker 1: this company, and it was you would ride your bike

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00:22:19,040 --> 00:22:21,800
Speaker 1: to a small bike that they gave you a folding bike,

427
00:22:21,960 --> 00:22:24,000
Speaker 1: to the bar where the ride, and then you drove

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00:22:24,400 --> 00:22:26,840
Speaker 1: that person's car home, you drove the customers.

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00:22:26,920 --> 00:22:29,360
Speaker 2: You would fold the bike up, put it in the trunk. Yeah,

430
00:22:29,400 --> 00:22:31,200
Speaker 2: I'm pretty sure Flula did it for a while.

431
00:22:31,240 --> 00:22:34,400
Speaker 1: Where. Yeah, so you go, like Kirk calls, I'm at

432
00:22:35,480 --> 00:22:38,120
Speaker 1: the roost, I ride a mini bike over. You give

433
00:22:38,160 --> 00:22:40,040
Speaker 1: me your keys, you tell me where your house is.

434
00:22:40,119 --> 00:22:42,000
Speaker 1: I drive you home. Then I ride the bike home.

435
00:22:42,560 --> 00:22:44,960
Speaker 1: That feels awesome. It's the greatest.

436
00:22:45,080 --> 00:22:48,399
Speaker 2: It's awesome because I always want to drive to the place.

437
00:22:48,560 --> 00:22:51,520
Speaker 2: Yes I know that i'm and then often I just

438
00:22:51,680 --> 00:22:53,200
Speaker 2: leave my car and at.

439
00:22:53,119 --> 00:22:56,159
Speaker 1: Your drunkest, if you're standing outside of a bar and

440
00:22:56,520 --> 00:23:00,399
Speaker 1: U six foot three German bodybuilder rides up on a

441
00:23:00,560 --> 00:23:03,960
Speaker 1: tricycle and says, get hit, folds it up and pops

442
00:23:04,000 --> 00:23:06,480
Speaker 1: it in. You're drunk, it's the best thing that could

443
00:23:06,520 --> 00:23:10,440
Speaker 1: happen to you. And you're when you're drunk, there's undeniable.

444
00:23:10,920 --> 00:23:15,320
Speaker 1: It's so good. It was uber was it was like magic.

445
00:23:15,480 --> 00:23:17,960
Speaker 1: For the first time. I was like, this is incredible

446
00:23:17,960 --> 00:23:19,879
Speaker 1: because you would just take it four blocks. You'd be like, oh,

447
00:23:19,920 --> 00:23:21,639
Speaker 1: I just got to go right over there, and nobody

448
00:23:21,720 --> 00:23:25,000
Speaker 1: walks in La except us. So it was it was

449
00:23:25,080 --> 00:23:26,960
Speaker 1: a special time. And then when Lyft came and they

450
00:23:27,000 --> 00:23:29,200
Speaker 1: had the big pink mustaches, I never got it. And

451
00:23:29,240 --> 00:23:30,720
Speaker 1: then people were like, oh, it's like a joke, like

452
00:23:30,760 --> 00:23:36,359
Speaker 1: a mustache ride, like what like no munching box what

453
00:23:36,840 --> 00:23:39,280
Speaker 1: it was supposed to be, Like, hey, grab a mustache ride?

454
00:23:39,600 --> 00:23:41,720
Speaker 1: Are you joking me? No, that's That's what I've been told.

455
00:23:41,720 --> 00:23:43,440
Speaker 1: It was like an advertising thing that would let like

456
00:23:43,480 --> 00:23:45,480
Speaker 1: everybody be like what is that? So they'd google it,

457
00:23:45,640 --> 00:23:47,520
Speaker 1: and but then the inside joke was like, yeah, take

458
00:23:47,520 --> 00:23:52,400
Speaker 1: a mustache ride. That's so crazy, bring them back. I say,

459
00:23:52,560 --> 00:23:55,119
Speaker 1: why did we get rid of the pink mustaches? That

460
00:23:55,359 --> 00:23:58,720
Speaker 1: is so insane? Because you also it's like it because

461
00:23:58,760 --> 00:24:00,280
Speaker 1: it a very quickly. Now.

462
00:24:00,600 --> 00:24:04,399
Speaker 2: I think the brand of Lyft it was like we're

463
00:24:04,480 --> 00:24:08,560
Speaker 2: more like pro women. We're like we support and protect

464
00:24:08,760 --> 00:24:10,680
Speaker 2: you know, as ubers, just like we don't give a

465
00:24:10,800 --> 00:24:12,560
Speaker 2: ship at Darth Vader Dar.

466
00:24:12,920 --> 00:24:15,480
Speaker 1: But the fact that them it just started as like

467
00:24:16,320 --> 00:24:20,080
Speaker 1: a bad frat joke. It's crazy. Yeah, that's what I

468
00:24:20,200 --> 00:24:23,840
Speaker 1: was told. If anybody works for Lift Corporate, or did

469
00:24:23,920 --> 00:24:26,879
Speaker 1: eight years ago, if mustache rides were on the docket,

470
00:24:27,040 --> 00:24:28,760
Speaker 1: let us know. And the fact that you had to

471
00:24:28,920 --> 00:24:31,760
Speaker 1: fist bump them, that was a nightmare. I did not

472
00:24:31,960 --> 00:24:34,480
Speaker 1: like that. I don't like any form of icebreaker. You

473
00:24:34,840 --> 00:24:36,720
Speaker 1: fist bumping a strategy.

474
00:24:36,280 --> 00:24:40,000
Speaker 2: Also a man like because it's like a it's transaction,

475
00:24:40,760 --> 00:24:45,440
Speaker 2: So like forcing like an icebreaker for a financial transaction

476
00:24:45,680 --> 00:24:47,320
Speaker 2: is so crazy incredible.

477
00:24:47,800 --> 00:24:50,120
Speaker 1: You know, there's like a brand new one. I saw

478
00:24:50,600 --> 00:24:54,720
Speaker 1: there were robots in a restaurant that are controlled by

479
00:24:55,080 --> 00:24:59,399
Speaker 1: people who have special needs. It's like this screen. But

480
00:24:59,520 --> 00:25:02,640
Speaker 1: what if what if there was like instead of driverless cars,

481
00:25:02,720 --> 00:25:04,359
Speaker 1: what if there were just cars that could pick you

482
00:25:04,440 --> 00:25:06,879
Speaker 1: up without a driver that were controlled by people that

483
00:25:07,240 --> 00:25:09,720
Speaker 1: might not be able to drive. Yeah, yeah, that'd be

484
00:25:09,840 --> 00:25:12,040
Speaker 1: so fun. Yeah, that has to be in the works.

485
00:25:12,600 --> 00:25:14,919
Speaker 1: Somebody in Fun Valley has to do that. I think

486
00:25:14,960 --> 00:25:17,960
Speaker 1: that's what all those little like delivery robots are. They

487
00:25:18,000 --> 00:25:20,560
Speaker 1: are have somebody like yeah, because whenever I talked to them,

488
00:25:20,560 --> 00:25:23,600
Speaker 1: they like wink or whatever they like they respond oh interesting,

489
00:25:24,119 --> 00:25:26,000
Speaker 1: which is every day pretty much every day. I talked

490
00:25:26,000 --> 00:25:28,000
Speaker 1: to him. What really, you see them every day? No?

491
00:25:28,200 --> 00:25:30,040
Speaker 1: I saw him less. Remember on Door to Shore we

492
00:25:30,160 --> 00:25:33,640
Speaker 1: saw one, Yeah, and then last year we saw twenty five.

493
00:25:33,800 --> 00:25:34,560
Speaker 1: It was the best.

494
00:25:35,480 --> 00:25:39,879
Speaker 2: I'm gonna guess that the delivery robot market crashed sometime.

495
00:25:41,240 --> 00:25:47,240
Speaker 1: It wasn't that useful. It just wasn't a very slow

496
00:25:47,520 --> 00:25:50,640
Speaker 1: robot that gets kicked over a lot. Yes, I mean

497
00:25:50,680 --> 00:25:53,520
Speaker 1: even like the Brooklyn bike messenger. Like San Francisco is

498
00:25:53,560 --> 00:25:55,359
Speaker 1: like known for their bike messengers, like, hey, get this

499
00:25:55,480 --> 00:25:57,280
Speaker 1: parcel across the city as fast as you can, like

500
00:25:57,359 --> 00:26:00,520
Speaker 1: kind of pre email. Really, But like now I look

501
00:26:00,560 --> 00:26:02,600
Speaker 1: back at all those people. They had such swagger, all

502
00:26:02,680 --> 00:26:06,600
Speaker 1: those New York Manhattan and Brooklyn. They were cool or tough.

503
00:26:06,880 --> 00:26:10,399
Speaker 2: Yeah, they had and they all rose sixties, which was

504
00:26:10,560 --> 00:26:12,920
Speaker 2: so insane to do in Manhattan traffic.

505
00:26:13,160 --> 00:26:15,080
Speaker 1: Yeah, and then they made that really dumb movie with

506
00:26:15,320 --> 00:26:17,640
Speaker 1: Joseph Gordon Levitt, I think, and then that's what killed

507
00:26:17,840 --> 00:26:21,119
Speaker 1: God killed it. So Joseph Gordon Levin may or may

508
00:26:21,200 --> 00:26:23,520
Speaker 1: not have made a food delivery robot movie that we

509
00:26:23,640 --> 00:26:28,800
Speaker 1: don't know about. Hello, I'm Saddie. Joseph Gordon Levitt.

510
00:26:28,840 --> 00:26:35,320
Speaker 2: He surprisingly destroys business, distries the whole industries by making

511
00:26:35,520 --> 00:26:36,560
Speaker 2: uncool movies.

512
00:26:37,960 --> 00:26:38,880
Speaker 1: I wouldn't be surprised.

513
00:26:38,920 --> 00:26:42,400
Speaker 2: I'll tease you into our break here. Heck, yeah, Russian

514
00:26:42,480 --> 00:26:46,720
Speaker 2: woman has twenty two children at the age of twenty six.

515
00:26:47,240 --> 00:26:57,520
Speaker 1: Whoa doubt? Alright, well, yeah, wow, more on the Yeah,

516
00:26:59,160 --> 00:27:20,719
Speaker 1: any of us, and we're back, folks. Scottie, you got

517
00:27:20,760 --> 00:27:23,879
Speaker 1: any shout out? Exactly four shout outs? I seem to

518
00:27:23,880 --> 00:27:25,880
Speaker 1: always pick four. I feel like it's the best way

519
00:27:25,960 --> 00:27:29,359
Speaker 1: for me to thin out the herd, the horse herd

520
00:27:29,600 --> 00:27:32,840
Speaker 1: of shout outs. But it also doesn't drag on too

521
00:27:32,920 --> 00:27:36,399
Speaker 1: long as I am. Right now, Spencer PPG wants to

522
00:27:36,440 --> 00:27:40,679
Speaker 1: shout themselves out for passing a dissertation defense and they

523
00:27:40,720 --> 00:27:43,480
Speaker 1: will be graduating with a pH d in Chemical and

524
00:27:43,640 --> 00:27:50,800
Speaker 1: biological engineering. Congratulations, and Spencer PPG, congratulations. And I don't

525
00:27:50,840 --> 00:27:52,919
Speaker 1: know if it's a she or they, so I apologize.

526
00:27:52,920 --> 00:27:55,280
Speaker 1: I didn't see any pronouns. I'm gonna just say, she says,

527
00:27:55,359 --> 00:27:59,120
Speaker 1: thanks for keeping me laughing during all. Yeah, and you're

528
00:27:59,160 --> 00:28:02,320
Speaker 1: so welcome. Congrat I would be so bad at defending

529
00:28:02,400 --> 00:28:05,119
Speaker 1: a dissertation. I'd be like, is this it? What do

530
00:28:05,160 --> 00:28:10,200
Speaker 1: you guys? Think pretty cool? Who wants to Margarita. Phoebe

531
00:28:10,480 --> 00:28:13,119
Speaker 1: is shouting herself out for not letting her old friend

532
00:28:13,200 --> 00:28:17,359
Speaker 1: the darkness consume her and instead has started making bracelets

533
00:28:17,359 --> 00:28:19,800
Speaker 1: and selling them. She's already sold. I think she said

534
00:28:19,800 --> 00:28:22,360
Speaker 1: at the time that we got this like seven bracelets.

535
00:28:22,440 --> 00:28:26,119
Speaker 1: So congratulations, Phoebe found a great hobby. We hope the

536
00:28:26,240 --> 00:28:31,040
Speaker 1: darkness stays away. Keep chasing the blue skies. Laura Cardella,

537
00:28:31,080 --> 00:28:33,199
Speaker 1: which is a great name, wants to shout out her

538
00:28:33,320 --> 00:28:36,200
Speaker 1: baby brother, Mark Henrix, who had the guts to follow

539
00:28:36,280 --> 00:28:39,479
Speaker 1: his dream of being a musician. He goes by Boogie

540
00:28:39,600 --> 00:28:42,320
Speaker 1: Lights and is a DJ drummer in the Denver area.

541
00:28:42,560 --> 00:28:44,520
Speaker 1: It's a new song on YouTube that I actually did

542
00:28:44,600 --> 00:28:48,080
Speaker 1: listen to and it's very fun called We Want Lafunk

543
00:28:49,080 --> 00:28:50,880
Speaker 1: and it's music for adults. I'll let you guys know

544
00:28:50,960 --> 00:28:53,520
Speaker 1: that the music We Want Lafunk starts with a there's

545
00:28:53,560 --> 00:28:56,880
Speaker 1: some adult words that start that one off, but it's

546
00:28:57,240 --> 00:29:01,920
Speaker 1: very good. So congrats to a Mark Hendrick's ak Boogie Lights.

547
00:29:02,920 --> 00:29:06,160
Speaker 1: And last but not lease Cat Raush. She didn't even

548
00:29:06,200 --> 00:29:08,200
Speaker 1: shout her out. I'm shouting her out because she did

549
00:29:08,360 --> 00:29:10,120
Speaker 1: a door to shore with a friend or her partner.

550
00:29:10,160 --> 00:29:12,640
Speaker 1: I don't know. That was a door to shore road trip,

551
00:29:13,200 --> 00:29:17,160
Speaker 1: six days driving from Idaho throwing up the California coast

552
00:29:17,280 --> 00:29:19,600
Speaker 1: up to the Oregon coast where she got into the water.

553
00:29:19,920 --> 00:29:21,920
Speaker 1: It was a one five hundred and six to eight

554
00:29:21,960 --> 00:29:24,840
Speaker 1: miles and six days to support the National Parks. Yes,

555
00:29:25,720 --> 00:29:29,800
Speaker 1: so shout out cat Rash, that's awesome. I mean we're talking.

556
00:29:30,360 --> 00:29:33,400
Speaker 1: That might be power Banana. I think that's a really

557
00:29:33,720 --> 00:29:37,040
Speaker 1: long door to shore. Three And congratulations Cat, that's great.

558
00:29:37,160 --> 00:29:40,760
Speaker 1: Kurdiebe and I adore the National Parks were obsessed.

559
00:29:41,040 --> 00:29:46,200
Speaker 2: I recently got Olive and gus a National Parks passport.

560
00:29:46,440 --> 00:29:46,920
Speaker 1: That's awesome.

561
00:29:47,360 --> 00:29:49,960
Speaker 2: And so you get stamps when you go to National parks,

562
00:29:50,000 --> 00:29:56,320
Speaker 2: and Olive is of course quickly memorized. And now she's like,

563
00:29:56,840 --> 00:29:58,560
Speaker 2: she's like, we can go to Palm Springs. There's a

564
00:29:58,680 --> 00:29:59,880
Speaker 2: National park in Palm Spring.

565
00:30:01,080 --> 00:30:04,760
Speaker 1: She ain't wrong. It's a pretty fun one. But it's

566
00:30:04,920 --> 00:30:08,000
Speaker 1: one hundred and fifty degrees or minus twenty. That's what's cool.

567
00:30:09,400 --> 00:30:12,719
Speaker 1: Why not camp there? All? Right? Here?

568
00:30:12,760 --> 00:30:15,920
Speaker 2: It is a Russian woman has twenty two children at

569
00:30:15,920 --> 00:30:17,440
Speaker 2: the age of twenty six. This was sent in by

570
00:30:17,520 --> 00:30:20,760
Speaker 2: Steve schinners. Oh, Steve, thanks a lot of good stories.

571
00:30:20,840 --> 00:30:26,520
Speaker 1: Yeah, thanks Steve. This is a perth now why not class?

572
00:30:26,760 --> 00:30:26,920
Speaker 2: Wait?

573
00:30:27,440 --> 00:30:31,760
Speaker 1: Written by You're good? Are you ready? Good luck?

574
00:30:32,640 --> 00:30:36,120
Speaker 2: No, there's nothing hard to pronounce about this. This is

575
00:30:36,160 --> 00:30:37,640
Speaker 2: written by bang Showbiz.

576
00:30:39,560 --> 00:30:41,600
Speaker 1: Please be a real name. Please be a real name.

577
00:30:41,720 --> 00:30:43,120
Speaker 1: Please please please be.

578
00:30:43,200 --> 00:30:45,640
Speaker 2: A real name, just says bang show Biz. He who

579
00:30:45,760 --> 00:30:49,000
Speaker 2: knows who knows? A woman is a mother to twenty

580
00:30:49,080 --> 00:30:52,480
Speaker 2: two children at the age of twenty six. Christina uz Turk,

581
00:30:52,680 --> 00:30:56,400
Speaker 2: a Russian who lives in neighboring Georgia, has welcomed twenty

582
00:30:56,480 --> 00:31:00,239
Speaker 2: one of the kids via surrogate, and twenty have been

583
00:31:00,320 --> 00:31:01,760
Speaker 2: born in the space of a year.

584
00:31:01,960 --> 00:31:07,560
Speaker 1: That doesn't count. Oh boom, yeah, I ate four hundred

585
00:31:07,600 --> 00:31:09,840
Speaker 1: hot dogs with thirty of my friends last year.

586
00:31:10,480 --> 00:31:13,360
Speaker 2: She claims that she wants one hundred and five biological

587
00:31:13,480 --> 00:31:17,880
Speaker 2: children with her millionaire husband Gallop fifty eight, although he

588
00:31:18,080 --> 00:31:20,600
Speaker 2: was sentenced to eight years in prison earlier this year.

589
00:31:21,200 --> 00:31:24,520
Speaker 1: He found guilty of illegal purchase a possession of drug.

590
00:31:24,760 --> 00:31:28,440
Speaker 1: Oh boy, oh, this turns out to be a terrible

591
00:31:28,680 --> 00:31:32,280
Speaker 1: dark story that I chose. No, it's fine, I didn't.

592
00:31:32,360 --> 00:31:34,240
Speaker 1: I saw the headline. I saw it. Got set in.

593
00:31:34,320 --> 00:31:37,080
Speaker 1: And also we're all four surrogates. We're not saying, no,

594
00:31:37,320 --> 00:31:42,560
Speaker 1: a surrogate and that's not your biological child, no promis.

595
00:31:43,160 --> 00:31:45,880
Speaker 1: What we're saying is this woman did not have twenty

596
00:31:45,960 --> 00:31:48,240
Speaker 1: two babies at the edge of twenty six. No. I

597
00:31:48,440 --> 00:31:50,720
Speaker 1: was running the numbers in my head and I'm like, okay,

598
00:31:50,800 --> 00:31:55,160
Speaker 1: so like six sets of triplets and then maybe four

599
00:31:55,600 --> 00:31:57,120
Speaker 1: smaller ones just singles.

600
00:31:57,680 --> 00:32:01,400
Speaker 2: So yes, well here it is, so you know what,

601
00:32:01,480 --> 00:32:04,240
Speaker 2: I'm gonna pivot, pivot. But I like that we started

602
00:32:04,320 --> 00:32:10,479
Speaker 2: with that, Yeah, because that there's always Valentina Vassilvia.

603
00:32:11,200 --> 00:32:15,320
Speaker 1: Yes, we love Valentina Vassilevia. We talked about this at

604
00:32:15,360 --> 00:32:18,400
Speaker 1: dinner the other night. We did. We did for no

605
00:32:18,560 --> 00:32:20,520
Speaker 1: reason not related to the podcast.

606
00:32:21,000 --> 00:32:26,320
Speaker 2: A Russian woman named Valentina vasia Is and her husband

607
00:32:26,400 --> 00:32:29,520
Speaker 2: Fda Feodor Vese.

608
00:32:30,760 --> 00:32:31,600
Speaker 1: Screws a lot.

609
00:32:32,320 --> 00:32:34,720
Speaker 2: By the way, I know, we mispronounced things a lot.

610
00:32:34,840 --> 00:32:35,320
Speaker 1: Who cares.

611
00:32:35,800 --> 00:32:39,200
Speaker 2: I was listening to this podcast about wild animal attacks.

612
00:32:39,240 --> 00:32:41,720
Speaker 1: Also, your last name is brown older, Yeah, nobody says

613
00:32:41,720 --> 00:32:42,479
Speaker 1: your last name, right.

614
00:32:43,120 --> 00:32:46,520
Speaker 2: I was listening to a podcast and the gentleman said

615
00:32:47,560 --> 00:32:51,280
Speaker 2: that the that the Golden gate Bridge is second in

616
00:32:51,440 --> 00:32:57,320
Speaker 2: length only to the vera Azant Vera. No, it wasn't

617
00:32:57,400 --> 00:33:01,840
Speaker 2: vera Zanto. He said, uh via Zano.

618
00:33:02,120 --> 00:33:06,200
Speaker 1: Vera Zano from scottn Island to Brooklyn the Verrizono Bridge.

619
00:33:06,280 --> 00:33:08,560
Speaker 1: Before I was just like, that's amazing.

620
00:33:08,760 --> 00:33:11,880
Speaker 2: That's like a pert. That's a biologist who's never never

621
00:33:12,000 --> 00:33:13,120
Speaker 2: been to New York, never been in.

622
00:33:13,080 --> 00:33:16,000
Speaker 1: New York City, and the wonder of the Verrizonto Bridge.

623
00:33:16,400 --> 00:33:20,840
Speaker 2: A Russian woman named Valentina Vassilev and her husband Fyodor

624
00:33:21,040 --> 00:33:23,680
Speaker 2: are alleged told the record for the most children a

625
00:33:23,720 --> 00:33:27,000
Speaker 2: couple has produced. Yeah, she gave birth to a total

626
00:33:27,080 --> 00:33:31,720
Speaker 2: of sixty nine and one of the funnier.

627
00:33:31,440 --> 00:33:33,200
Speaker 1: Numbers boom boom boom boom boom.

628
00:33:33,000 --> 00:33:38,120
Speaker 2: Boo boom, sixteen pairs of twins, seven sets of triplets,

629
00:33:38,640 --> 00:33:42,560
Speaker 2: and four sets of quadruplets between seventeen twenty five and

630
00:33:42,720 --> 00:33:43,880
Speaker 2: seventeen sixty five.

631
00:33:44,520 --> 00:33:45,360
Speaker 1: In forty years.

632
00:33:45,760 --> 00:33:49,560
Speaker 2: A total of twenty seven berths. Sixty seven of the

633
00:33:49,600 --> 00:33:53,720
Speaker 2: sixty nine children were said to have survived infancy infancy. Allegedly,

634
00:33:53,880 --> 00:33:56,720
Speaker 2: Vassilev also had six sets of twins and two sets

635
00:33:56,760 --> 00:33:59,800
Speaker 2: of triplets with a second wife. Oh my god, dude,

636
00:34:00,200 --> 00:34:03,600
Speaker 2: the bone for another eighteen children. In eight berths, he

637
00:34:03,680 --> 00:34:06,560
Speaker 2: fathered a total of eighty seven children. The claim is

638
00:34:06,600 --> 00:34:09,800
Speaker 2: disputed as records of this time were not well kept, right.

639
00:34:10,440 --> 00:34:12,640
Speaker 1: I can see some but there even if it was

640
00:34:12,719 --> 00:34:15,360
Speaker 1: sixty four, I mean, it's all Russians.

641
00:34:15,440 --> 00:34:18,680
Speaker 2: The next Russian gave birth to fifty seven children in

642
00:34:18,840 --> 00:34:22,440
Speaker 2: seventeen fifty five, with a total of twenty one berths.

643
00:34:22,520 --> 00:34:26,240
Speaker 2: Then there's Barbara Stratzman of Germany gave birth to fifty

644
00:34:26,320 --> 00:34:28,680
Speaker 2: three children, thirty eight sons and fifteen daughters in a

645
00:34:28,760 --> 00:34:31,239
Speaker 2: total of twenty nine berths by fourteen ninety eight. Now

646
00:34:31,280 --> 00:34:33,600
Speaker 2: we're getting back older and older and older, but.

647
00:34:33,840 --> 00:34:38,160
Speaker 1: Still nine months a kid. Yeah, or are close to it?

648
00:34:38,520 --> 00:34:42,560
Speaker 1: Like my god, here is the oh, this is so?

649
00:34:42,719 --> 00:34:45,800
Speaker 1: This is actually recent. Okay, here we go. What's the

650
00:34:45,960 --> 00:34:46,560
Speaker 1: recent one?

651
00:34:47,320 --> 00:34:52,920
Speaker 2: Uh, twenty sixteen, it is recent. Mariam Nabatsani from Uganda

652
00:34:53,120 --> 00:34:55,400
Speaker 2: gave birth to is it Uganda or Uganda?

653
00:34:55,480 --> 00:34:56,480
Speaker 1: I don't know, We'll never know.

654
00:34:56,800 --> 00:35:01,719
Speaker 2: Yeah, gave birth to forty four children, four children by

655
00:35:01,760 --> 00:35:02,879
Speaker 2: the age of thirty six.

656
00:35:03,360 --> 00:35:05,400
Speaker 1: Forty four people, three sets.

657
00:35:05,200 --> 00:35:08,720
Speaker 2: Of quadruplets, four sets of triplets, and six sets of twins.

658
00:35:08,800 --> 00:35:11,920
Speaker 2: Due to a rare genetic condition causing hyperovulation.

659
00:35:12,080 --> 00:35:14,240
Speaker 1: Oh that's interesting. See, that's what I would have guessed.

660
00:35:14,320 --> 00:35:15,760
Speaker 1: Yea is just cranking out eggs.

661
00:35:16,160 --> 00:35:17,960
Speaker 2: And in twenty nineteen, at the age of forty, she

662
00:35:18,080 --> 00:35:20,920
Speaker 2: underwent a medical procedure to prevent any further pregnancy.

663
00:35:21,000 --> 00:35:22,840
Speaker 1: Oh yeah, I would have done that. That one in

664
00:35:22,920 --> 00:35:27,080
Speaker 1: the bud. I would have done that before the forty

665
00:35:27,160 --> 00:35:30,239
Speaker 1: fourth one. Somewhere around seventeen or eighteen. I would have

666
00:35:30,280 --> 00:35:32,120
Speaker 1: maybe put a plug in that one. No, maybe not

667
00:35:32,239 --> 00:35:38,040
Speaker 1: even six. Maybe two seems like a lot. You only

668
00:35:38,120 --> 00:35:40,880
Speaker 1: have two arms, you have two nipples, you only have

669
00:35:40,960 --> 00:35:43,040
Speaker 1: two arms. That seems like the right amount of kids,

670
00:35:43,200 --> 00:35:47,120
Speaker 1: one for each nip, one kid per Pepperoni. I always say,

671
00:35:48,440 --> 00:35:53,440
Speaker 1: saw to give forty four forty four? Uh, what is

672
00:35:53,560 --> 00:35:56,440
Speaker 1: their relationship? Like, like, what are those siblings?

673
00:35:56,600 --> 00:36:00,000
Speaker 2: I would think it's very similar to a preschool team

674
00:36:00,320 --> 00:36:02,760
Speaker 2: who has double the amount of children that they're allowed

675
00:36:02,840 --> 00:36:03,480
Speaker 2: legally to have.

676
00:36:03,719 --> 00:36:05,880
Speaker 1: Well, that's interesting because that is so true. Or it's

677
00:36:05,920 --> 00:36:08,479
Speaker 1: like those old schoolhouses where it was all grades would

678
00:36:08,480 --> 00:36:10,399
Speaker 1: be with one teacher and one thing, so it would

679
00:36:10,400 --> 00:36:12,359
Speaker 1: be like there's six graders and then they're sixteen year

680
00:36:12,400 --> 00:36:14,560
Speaker 1: olds and it's like you have to teach lessons that.

681
00:36:15,120 --> 00:36:19,440
Speaker 1: Oh my goodness, let's go back to that one. I

682
00:36:19,560 --> 00:36:22,920
Speaker 1: mentioned a couple pods ago that I did. Kyle Godare

683
00:36:23,040 --> 00:36:26,440
Speaker 1: sent this in Kyle Fletcher Double Kyle's story, which is

684
00:36:26,520 --> 00:36:29,560
Speaker 1: really rare. Kyle Fletcher's the best in the business was

685
00:36:29,680 --> 00:36:31,960
Speaker 1: Indy one hundred dot com, So you know it might

686
00:36:32,080 --> 00:36:36,400
Speaker 1: not be real. Scientists have discovered a new Antarctica accent.

687
00:36:36,640 --> 00:36:38,640
Speaker 1: Remember I mentioned this. Oh ye, yes, I never got

688
00:36:38,680 --> 00:36:40,919
Speaker 1: into this, but I am very fascinated. And we also

689
00:36:41,000 --> 00:36:45,160
Speaker 1: have a bananimal who is currently in Antarctica and send

690
00:36:45,239 --> 00:36:47,680
Speaker 1: us videos and our dms of her walking around. It's

691
00:36:47,719 --> 00:36:50,680
Speaker 1: summer there, okay, no, yeah, it's almost going to be

692
00:36:50,719 --> 00:36:54,320
Speaker 1: summer there, right, but we're going to send her a

693
00:36:54,640 --> 00:36:58,759
Speaker 1: Bananas Podcast sweatshirt great, which we have to send through

694
00:36:58,960 --> 00:37:02,480
Speaker 1: Denver because they post office doesn't go there. But the

695
00:37:02,560 --> 00:37:07,239
Speaker 1: company that runs the station will bring like cargo whoa,

696
00:37:07,640 --> 00:37:12,160
Speaker 1: So anyway, one year she'll get it correct. Antarctica might

697
00:37:12,200 --> 00:37:16,160
Speaker 1: be the only continent on Earth with no natural human habitation,

698
00:37:16,400 --> 00:37:19,920
Speaker 1: but it's emerged that there is an Antarctica accent and

699
00:37:20,040 --> 00:37:22,919
Speaker 1: it's very much a real thing, all right. Despite having

700
00:37:23,040 --> 00:37:25,920
Speaker 1: no locals, thousands of scientists have made up an ever

701
00:37:26,120 --> 00:37:29,960
Speaker 1: changing population in research stations over the years. I really

702
00:37:30,000 --> 00:37:33,080
Speaker 1: am fascinated with Antarctica. It just is so foreign. The

703
00:37:33,200 --> 00:37:36,280
Speaker 1: continent is so isolated, and the level of interaction between

704
00:37:36,360 --> 00:37:40,080
Speaker 1: researchers is so intense that a common accent is beginning

705
00:37:40,120 --> 00:37:42,759
Speaker 1: to emerge there despite people coming from different parts of

706
00:37:42,800 --> 00:37:43,160
Speaker 1: the world.

707
00:37:43,680 --> 00:37:48,560
Speaker 2: Wow, is there like a main structure where people are interacting.

708
00:37:48,640 --> 00:37:51,120
Speaker 2: I thought they were all independent lab sites.

709
00:37:51,320 --> 00:37:54,640
Speaker 1: Well, they're right, So there are a bunch of different stations.

710
00:37:54,880 --> 00:37:57,239
Speaker 1: I think it mentions the main one and there. So

711
00:37:57,480 --> 00:37:59,360
Speaker 1: there's a bunch of different nations have stations there, and

712
00:37:59,400 --> 00:38:02,319
Speaker 1: I think America has several. There's one like Closure South Pole.

713
00:38:02,360 --> 00:38:04,600
Speaker 1: There's one that's called murc Murdo, which I think is

714
00:38:04,640 --> 00:38:07,720
Speaker 1: a real main one. But there's a book, this awesome

715
00:38:07,719 --> 00:38:09,719
Speaker 1: book that I'll mention at the end that everybody should read.

716
00:38:09,719 --> 00:38:13,800
Speaker 1: It's so fascinating. The idea of accents changing due to

717
00:38:14,680 --> 00:38:17,879
Speaker 1: interaction on Antarctica is no different than the phenomenon seen

718
00:38:17,960 --> 00:38:20,840
Speaker 1: throughout history at a glacial pace, which I think is

719
00:38:20,920 --> 00:38:24,280
Speaker 1: just a pun. However, given that they are very specific

720
00:38:24,360 --> 00:38:27,160
Speaker 1: sample size, it is an opportunity for science to study

721
00:38:27,200 --> 00:38:29,200
Speaker 1: it at a much quicker rate and on a much

722
00:38:29,239 --> 00:38:34,480
Speaker 1: smaller scale. Experts at the Ludwig Maximilian University in Munich

723
00:38:35,200 --> 00:38:37,920
Speaker 1: published a study in twenty nineteen which focused on the

724
00:38:38,040 --> 00:38:40,879
Speaker 1: change and accents observed in eleven people who took part

725
00:38:41,000 --> 00:38:44,760
Speaker 1: in the British Antarctica Survey Antarctic Survey. Of the eleven

726
00:38:44,800 --> 00:38:47,160
Speaker 1: who were studied, eight came from England, one from the US,

727
00:38:47,200 --> 00:38:50,320
Speaker 1: and one from Germany and one from Iceland. Their voices

728
00:38:50,320 --> 00:38:52,520
Speaker 1: were recorded every six weeks and the team found that

729
00:38:52,640 --> 00:38:56,360
Speaker 1: over time they developed longer vowel sounds. There was a

730
00:38:56,440 --> 00:39:01,160
Speaker 1: physical change too, with participants pronouncing the oh you sound,

731
00:39:01,200 --> 00:39:03,680
Speaker 1: which I guess would be oh. I don't know what

732
00:39:03,760 --> 00:39:06,160
Speaker 1: that would be. It says quote ohe you end quote

733
00:39:06,560 --> 00:39:10,200
Speaker 1: sound in the front of their mouth, so ooh ooh okay,

734
00:39:11,360 --> 00:39:13,239
Speaker 1: sound in the front of their mouths rather than the

735
00:39:13,320 --> 00:39:18,360
Speaker 1: back of their throats oh ow ooh ow ooh something

736
00:39:18,440 --> 00:39:23,360
Speaker 1: like that, okay, okay. Fascinating speaking to I fucking love science,

737
00:39:23,480 --> 00:39:28,239
Speaker 1: ifl science. Jonathan Harrington, study author of and professor of

738
00:39:28,320 --> 00:39:33,920
Speaker 1: phonetics and speech processing at Ludwig Maximilian's University in Munich, said, quote,

739
00:39:34,080 --> 00:39:37,279
Speaker 1: the Antarctica accent is not really perceptible as such, It

740
00:39:37,320 --> 00:39:39,680
Speaker 1: would take much longer for it to become so. But

741
00:39:39,960 --> 00:39:44,640
Speaker 1: it is acoustically measurable. Okay, so it is real. Quote,

742
00:39:44,719 --> 00:39:48,920
Speaker 1: it's mostly an it's mostly an amalgamation of some aspects

743
00:39:49,040 --> 00:39:52,440
Speaker 1: of the spoken accents of the Winterers before they went

744
00:39:52,520 --> 00:39:56,839
Speaker 1: to Antarctica, coming together with an innovation. It's far more

745
00:39:57,000 --> 00:40:00,759
Speaker 1: embryonic than this guy is a professor. Yeah, it's like,

746
00:40:01,200 --> 00:40:03,799
Speaker 1: what are you saying? In Layman's terms, is people brought

747
00:40:03,840 --> 00:40:05,719
Speaker 1: stuff from other places and when they all get together

748
00:40:05,800 --> 00:40:07,759
Speaker 1: long enough and talk too much, they all sound alike,

749
00:40:07,920 --> 00:40:10,840
Speaker 1: is what he's saying. And this is in the early stages,

750
00:40:11,120 --> 00:40:14,279
Speaker 1: isn't that so? So anyways, there's this book called Big

751
00:40:14,480 --> 00:40:18,000
Speaker 1: Dead Place and the author's named Nicholas Johnson, and I

752
00:40:18,200 --> 00:40:22,279
Speaker 1: cannot recommend this. Bananimals with book clubs read this book.

753
00:40:22,640 --> 00:40:24,759
Speaker 1: It is incredible. It's about this dude that goes It's

754
00:40:24,760 --> 00:40:28,120
Speaker 1: about the author went down there and lived there several summers,

755
00:40:28,200 --> 00:40:30,000
Speaker 1: and he explains the hierarchy and how you have to

756
00:40:30,040 --> 00:40:32,560
Speaker 1: start sort of doing dishes, but then who and there's

757
00:40:32,600 --> 00:40:34,839
Speaker 1: communal showers and you get your own room if you've

758
00:40:34,880 --> 00:40:37,000
Speaker 1: been there for three summers and some people stay around

759
00:40:37,040 --> 00:40:41,200
Speaker 1: the year. But it's very fascinating the bureaucracy of living

760
00:40:41,280 --> 00:40:43,480
Speaker 1: there because I think, I don't know if this is

761
00:40:43,520 --> 00:40:45,360
Speaker 1: still the case, but if it's in Denver, probably is.

762
00:40:45,400 --> 00:40:48,919
Speaker 1: I think Raytheon owns all the stations there. They bought

763
00:40:48,960 --> 00:40:52,600
Speaker 1: them from the US government and so a huge corporation, Raytheon,

764
00:40:53,320 --> 00:40:55,640
Speaker 1: at least when this book was written, Big Dead Place

765
00:40:55,719 --> 00:40:59,160
Speaker 1: by Nicholas Johnson, they control everything and it's a bunch

766
00:40:59,200 --> 00:41:02,680
Speaker 1: of guys for making decisions and they've never been to Antarctica.

767
00:41:02,920 --> 00:41:05,600
Speaker 1: What You've got to read this book. Oh it's incredible.

768
00:41:05,680 --> 00:41:07,520
Speaker 1: Oh wow. I read this summer and I'm like, well,

769
00:41:07,760 --> 00:41:09,360
Speaker 1: this is my favorite book, and I was like, I

770
00:41:09,400 --> 00:41:12,320
Speaker 1: should make this on a show. But James Gandelfini, before

771
00:41:12,400 --> 00:41:14,440
Speaker 1: he died, was obsessed with book. Tried to get this

772
00:41:14,600 --> 00:41:16,919
Speaker 1: going at HBO, and then he died. So the rights

773
00:41:16,920 --> 00:41:20,879
Speaker 1: are still out there with somebody. Ah, probably Big Dead

774
00:41:21,080 --> 00:41:25,959
Speaker 1: Place Nicholas Johnson. Amazing read. I'm interested. It's very interesting. Yeah.

775
00:41:26,480 --> 00:41:29,960
Speaker 2: I wonder people are like, don't go to Antarctica. They're like,

776
00:41:30,320 --> 00:41:33,520
Speaker 2: if you don't have to be there, because there's like

777
00:41:33,640 --> 00:41:37,719
Speaker 2: a lot of TikTok. People now that are that are like,

778
00:41:37,800 --> 00:41:40,640
Speaker 2: they're just actual researchers who live out there. Yes, but

779
00:41:40,719 --> 00:41:45,280
Speaker 2: they're always showing the stuff and it is like strikingly gorgeous, obvious.

780
00:41:45,320 --> 00:41:48,680
Speaker 2: And also they're only shooting with their phone the fourteen

781
00:41:48,840 --> 00:41:52,480
Speaker 2: seconds that they could actually be outside that day or whatever. Yes,

782
00:41:53,600 --> 00:41:56,239
Speaker 2: but it is really gorgeous. But I heard I read

783
00:41:56,280 --> 00:41:59,440
Speaker 2: an article that people are trying, We're already to go,

784
00:42:00,160 --> 00:42:01,560
Speaker 2: want to go, and people are like, you can't go,

785
00:42:01,920 --> 00:42:02,480
Speaker 2: you don't go.

786
00:42:03,440 --> 00:42:08,120
Speaker 1: Our bananimal down there is Aliyah Green or Alia Green.

787
00:42:08,320 --> 00:42:10,560
Speaker 1: I'm sorry if I got your name wrong. I think

788
00:42:10,640 --> 00:42:15,800
Speaker 1: it's Alayah man a l e I A A l

789
00:42:15,920 --> 00:42:18,120
Speaker 1: e I A Green. But anyways, we're gonna send you on.

790
00:42:18,280 --> 00:42:21,319
Speaker 1: She sends beautiful pictures and videos from down there. It's

791
00:42:21,520 --> 00:42:26,320
Speaker 1: just a fascinating unknown place. And to thank you for

792
00:42:26,440 --> 00:42:31,400
Speaker 1: being our antarctic bananamal is on the way, Well, thank you?

793
00:42:31,719 --> 00:42:34,280
Speaker 1: Are you ready for one? Scott even send us home, daddyo,

794
00:42:35,120 --> 00:42:37,160
Speaker 1: we'll see. We still got we got still got How

795
00:42:37,239 --> 00:42:39,400
Speaker 1: long are we on it? We're on forty minutes? Oh

796
00:42:39,440 --> 00:42:40,719
Speaker 1: hell yeah, we're gonna keep going.

797
00:42:41,320 --> 00:42:44,960
Speaker 2: Nottingham, Goose Fair, New owner for famous cock on a

798
00:42:45,000 --> 00:42:45,680
Speaker 2: Stick stall.

799
00:42:48,360 --> 00:42:50,799
Speaker 1: Yeah, I love where we're going.

800
00:42:52,160 --> 00:42:55,080
Speaker 2: A famous stall dating back more than one hundred years

801
00:42:55,120 --> 00:42:59,680
Speaker 2: that sells Cockerrell shaped treats has changed hands. The cock

802
00:42:59,760 --> 00:43:02,440
Speaker 2: on a Stick stall and its owner, Ray Brooks, have

803
00:43:02,520 --> 00:43:05,960
Speaker 2: been a staple of Nottingham's Goose Fair for decades. After

804
00:43:06,040 --> 00:43:08,120
Speaker 2: working the stall for more than seventy years, mister Brooks,

805
00:43:08,200 --> 00:43:09,880
Speaker 2: ninety two, has decided to still a business. Thirty three

806
00:43:09,960 --> 00:43:12,440
Speaker 2: year old fair worker Tom Smith. Mister Smith said he

807
00:43:12,480 --> 00:43:14,560
Speaker 2: wanted to keep the history and tradition of the celebrated

808
00:43:14,719 --> 00:43:17,840
Speaker 2: stall alive. I do get grandparents come up and they

809
00:43:17,880 --> 00:43:19,920
Speaker 2: don't even ask. They know exactly what a cock on

810
00:43:20,000 --> 00:43:23,280
Speaker 2: a stick is. Mister Smith said. They buy multiples because

811
00:43:23,280 --> 00:43:25,919
Speaker 2: they give them to their friends that have moved away. Sure,

812
00:43:26,360 --> 00:43:28,680
Speaker 2: I had some people say last night, this is going

813
00:43:28,719 --> 00:43:32,440
Speaker 2: to Australia. They're worldwide. You can get two different types

814
00:43:32,480 --> 00:43:35,000
Speaker 2: of cocks on sticks. You can get giant cocks, more

815
00:43:35,080 --> 00:43:40,440
Speaker 2: medium cocks. One's two pounds, the other one's two pounds fifty.

816
00:43:41,840 --> 00:43:44,040
Speaker 2: Mister Brook's decision to step down was partly due to

817
00:43:44,080 --> 00:43:47,120
Speaker 2: the decision to extend the Goose Fairs duration from five

818
00:43:47,239 --> 00:43:50,239
Speaker 2: days to ten days when it went to a ten

819
00:43:50,320 --> 00:43:52,160
Speaker 2: day fair. I just think it was too much for Ray.

820
00:43:52,360 --> 00:43:52,719
Speaker 1: Uh huh.

821
00:43:52,800 --> 00:43:55,000
Speaker 2: He used to sell them out, then go home and

822
00:43:55,120 --> 00:43:57,120
Speaker 2: make them in the evening. You'd see him in the

823
00:43:57,200 --> 00:43:59,160
Speaker 2: next morning. It's still they have to die from the

824
00:43:59,239 --> 00:44:01,960
Speaker 2: colors on the rock on his hands. So you know,

825
00:44:02,040 --> 00:44:04,400
Speaker 2: he goes home as a couple hours, makes another fifty

826
00:44:04,480 --> 00:44:06,240
Speaker 2: cocks and then sells them the next.

827
00:44:06,200 --> 00:44:08,200
Speaker 1: Des guy's got his hands all over those things.

828
00:44:08,360 --> 00:44:10,960
Speaker 2: Mister Smith said he approached mister Brooks in twenty nineteen

829
00:44:11,040 --> 00:44:13,680
Speaker 2: to buy the business. This guy has wanted this cock

830
00:44:13,760 --> 00:44:17,920
Speaker 2: on a stick stall for years, but they only completed

831
00:44:17,960 --> 00:44:20,080
Speaker 2: the deal last year. After agreeing to the sale, mister

832
00:44:20,120 --> 00:44:23,400
Speaker 2: Brooks demonstrated how he made the brightly colored sweets in

833
00:44:23,520 --> 00:44:26,360
Speaker 2: his garage quote. I don't want to disrespect Ray because

834
00:44:26,360 --> 00:44:27,960
Speaker 2: he was so famous and he did it for such

835
00:44:27,960 --> 00:44:30,759
Speaker 2: a long time. But I was a bit cobsmacked when

836
00:44:30,760 --> 00:44:33,200
Speaker 2: I actually went in there last year and saw what

837
00:44:33,320 --> 00:44:34,920
Speaker 2: I was actually getting myself in.

838
00:44:36,239 --> 00:44:38,040
Speaker 1: I guess cocks on sticks are hard to make.

839
00:44:38,760 --> 00:44:40,839
Speaker 2: Speaking to BBC in two thousand and three, mister Brooks

840
00:44:40,840 --> 00:44:42,800
Speaker 2: said making the cox was a slow process.

841
00:44:42,880 --> 00:44:45,400
Speaker 1: Was started four months before the goose Fair took place.

842
00:44:46,800 --> 00:44:48,800
Speaker 2: He added, the family had been making cocks on sticks

843
00:44:48,840 --> 00:44:51,160
Speaker 2: for more than one hundred years of process which involve

844
00:44:51,239 --> 00:44:54,800
Speaker 2: boiling sugar and gluecose to ninety three degrees celsius perfect,

845
00:44:55,360 --> 00:44:56,960
Speaker 2: and then they tell you how to make them.

846
00:44:57,239 --> 00:45:01,640
Speaker 1: It's very boris What is it exactly? It's just a bird.

847
00:45:01,960 --> 00:45:03,960
Speaker 2: It's just a chicken on a stick, but like a

848
00:45:04,040 --> 00:45:07,120
Speaker 2: lot of candy, a candy chicken on it's a cock

849
00:45:07,200 --> 00:45:08,000
Speaker 2: on a stick.

850
00:45:08,440 --> 00:45:12,640
Speaker 1: Yep, that's it. And then money, I'm laughing. You're not laughing.

851
00:45:12,960 --> 00:45:15,400
Speaker 1: I'm thinking about laughing. Maybe we'll cut this one, can't. No,

852
00:45:15,520 --> 00:45:18,920
Speaker 1: I like it. It's so bizarre. That's truly bananas.

853
00:45:18,960 --> 00:45:21,279
Speaker 2: He's very happy. The man who's selling.

854
00:45:21,040 --> 00:45:23,279
Speaker 1: The cocks on sticks was very very happy. But he

855
00:45:23,320 --> 00:45:25,200
Speaker 1: probably sells a ton of them. And I bet his

856
00:45:25,360 --> 00:45:29,640
Speaker 1: sales skyrocket with the advent of Instagram and TikTok. I mean,

857
00:45:29,719 --> 00:45:33,680
Speaker 1: come on, yeah, you take one of those Antarctica going viral. Baby,

858
00:45:33,800 --> 00:45:36,000
Speaker 1: you have cock on a stick in Antarctica just walking

859
00:45:36,000 --> 00:45:39,040
Speaker 1: around leopard seals chasing it. Then I really am laughing

860
00:45:40,960 --> 00:45:44,759
Speaker 1: one more. Natalie Petrovsky sent this in and I'm so

861
00:45:45,040 --> 00:45:49,360
Speaker 1: glad Natalie Petrowski did send this in. This was on

862
00:45:49,440 --> 00:45:51,320
Speaker 1: Salon dot com. We don't do a lot of stories

863
00:45:51,320 --> 00:45:53,279
Speaker 1: from Salon. I mean I can't.

864
00:45:53,680 --> 00:45:57,840
Speaker 2: I used to read Salanza New York two thousand and two.

865
00:45:57,880 --> 00:46:00,120
Speaker 1: All the time, all the time, Salon and Sleigh eight.

866
00:46:00,160 --> 00:46:02,479
Speaker 1: I was on them all the time, and Gawker even

867
00:46:02,560 --> 00:46:05,680
Speaker 1: for a while, and all how how the mighty have fallen?

868
00:46:06,640 --> 00:46:09,719
Speaker 1: Wild pig like animals are tearing up an Arizona golf

869
00:46:09,800 --> 00:46:13,200
Speaker 1: course and the Internet is delighted. I bet they are.

870
00:46:13,320 --> 00:46:15,839
Speaker 1: This was written by Ray Best in the Wild pig

871
00:46:16,000 --> 00:46:23,800
Speaker 1: Like Animals, Hodges Ray, Sorry to insult you. Unstoppable Javelinas

872
00:46:24,200 --> 00:46:27,680
Speaker 1: love coyote p like it's bacon bits in their salad,

873
00:46:28,320 --> 00:46:32,839
Speaker 1: and here's why golf courses are peeved. She is an

874
00:46:32,880 --> 00:46:35,760
Speaker 1: ego vengeance iconic class who loves coyote p and running

875
00:46:35,760 --> 00:46:38,920
Speaker 1: at mannic speeds. She's an unstoppable chaos queen with his

876
00:46:39,120 --> 00:46:42,520
Speaker 1: stink nipple on her butt who turns luxury Arizona golf

877
00:46:42,560 --> 00:46:46,960
Speaker 1: courses into free range charcuterie boards with her grubworm girl dinner. Oh,

878
00:46:47,280 --> 00:46:50,080
Speaker 1: grubworm girl dinner. I know what that is? That reference

879
00:46:50,160 --> 00:46:54,040
Speaker 1: isn't more than one month old. She's a gorilla. She's

880
00:46:54,080 --> 00:46:57,640
Speaker 1: a gorilla class warfare legend who's made in call sounds

881
00:46:58,320 --> 00:47:02,160
Speaker 1: like the hissing war gar, a cappuccino machine, milk steamer.

882
00:47:02,360 --> 00:47:05,800
Speaker 1: He is having fun? Yeah? He or she? Ray is

883
00:47:06,360 --> 00:47:09,600
Speaker 1: are a I guess it's probably a shear they She's

884
00:47:09,719 --> 00:47:15,960
Speaker 1: the Internet's most beloved trash eating, undulate, the uncompromising, the indefatigable,

885
00:47:16,160 --> 00:47:21,320
Speaker 1: the lovely javelina. My god, this is a good opening.

886
00:47:21,840 --> 00:47:25,120
Speaker 1: Interesting that salon's not as popular anymore. And if you

887
00:47:25,239 --> 00:47:28,120
Speaker 1: haven't seen her species' latest tour of havoc through the

888
00:47:28,239 --> 00:47:31,279
Speaker 1: High and Sedona golf Course, you're missing him, missing out

889
00:47:31,680 --> 00:47:34,440
Speaker 1: a massive herd of between one hundred and one hundred

890
00:47:34,440 --> 00:47:37,560
Speaker 1: and fifty wild javelina aka skunk pigs.

891
00:47:37,880 --> 00:47:40,400
Speaker 2: Skunk pigs, really, I know, I guess they got a

892
00:47:40,440 --> 00:47:41,560
Speaker 2: stink nipple on their butt.

893
00:47:41,680 --> 00:47:46,080
Speaker 1: Think you have been terrorizing the water guzzling Seven Canyons

894
00:47:46,280 --> 00:47:50,800
Speaker 1: Golf Club in the State's something national forest. Let's go

895
00:47:51,040 --> 00:47:56,400
Speaker 1: with Cocnino. Coconino Coconino National Forest. Olive probably knows about it,

896
00:47:57,800 --> 00:48:00,920
Speaker 1: leaving club owners searching for solution in the wake of

897
00:48:01,000 --> 00:48:06,640
Speaker 1: the Javelina's destruction. For the past six weeks, thirty to

898
00:48:06,760 --> 00:48:09,879
Speaker 1: fifty hell catting Javelina squadrons have been raising the course

899
00:48:09,960 --> 00:48:13,680
Speaker 1: turf annually during their fall rush. But his sister's superintendent

900
00:48:13,880 --> 00:48:17,880
Speaker 1: m Casey says the hunger driven Javelina insurgents are wrecking

901
00:48:17,960 --> 00:48:20,160
Speaker 1: shops so hard this year that the course has to

902
00:48:20,239 --> 00:48:23,920
Speaker 1: spend fifty hours a week repairing the damages. So the

903
00:48:24,000 --> 00:48:28,320
Speaker 1: photos which will post in the story headline, they basically

904
00:48:28,440 --> 00:48:29,880
Speaker 1: go to the middle of the fairway where all the

905
00:48:29,920 --> 00:48:32,960
Speaker 1: grass is, and they just destroy it like a rototiller,

906
00:48:33,080 --> 00:48:35,560
Speaker 1: like turn it up and chomp through it. And I

907
00:48:35,640 --> 00:48:37,680
Speaker 1: mean they're really messing it up. It's not just like

908
00:48:38,520 --> 00:48:40,640
Speaker 1: just digging and putting their little snoots in the grass.

909
00:48:40,840 --> 00:48:45,040
Speaker 1: Oh my god, Yeah they are. They really, It's pretty incredible.

910
00:48:45,080 --> 00:48:48,160
Speaker 1: They're like a rototiller just going right through the middle

911
00:48:48,200 --> 00:48:51,279
Speaker 1: of a fairway. It is, yeah, it is, just they're

912
00:48:51,680 --> 00:48:55,800
Speaker 1: sleep picking it all up crazy. It is pretty amazing. Ummm.

913
00:48:56,080 --> 00:48:58,600
Speaker 1: So they do a little video that's posted on social media.

914
00:48:58,640 --> 00:49:00,960
Speaker 1: If you're listening to this at work and you're very bored,

915
00:49:01,040 --> 00:49:03,480
Speaker 1: go ahead and look it up. It's very fascinating. The

916
00:49:03,600 --> 00:49:06,320
Speaker 1: video sense racked up more than twenty five million views

917
00:49:06,680 --> 00:49:11,200
Speaker 1: as online throngs flocked to hashtag team Javelina, cheering on

918
00:49:11,320 --> 00:49:15,120
Speaker 1: the wild hogs berserker mode reclamation of their natural habitat.

919
00:49:15,640 --> 00:49:18,000
Speaker 1: But the general manager I did highlight this in my

920
00:49:18,120 --> 00:49:21,840
Speaker 1: notes Seven Canyons general manager Dave Bisbee has been on

921
00:49:21,920 --> 00:49:26,000
Speaker 1: the case, he said, with Wildlife officials providing a club

922
00:49:26,080 --> 00:49:29,440
Speaker 1: and a tally of the squadrons, I mean quite, it

923
00:49:29,640 --> 00:49:33,839
Speaker 1: is hilarious. It's so dramatic. Bisbee has tried a few

924
00:49:33,880 --> 00:49:36,759
Speaker 1: different tactics on the Javelina and says the club wants

925
00:49:36,840 --> 00:49:39,480
Speaker 1: to quote figure out a way to coexist with them,

926
00:49:39,640 --> 00:49:41,440
Speaker 1: which is good. They're not just walking out there with

927
00:49:41,560 --> 00:49:43,480
Speaker 1: machine guns and shooting Javelina.

928
00:49:44,080 --> 00:49:46,160
Speaker 2: Yeah, I mean it's also crazy. I am like, I

929
00:49:46,280 --> 00:49:48,480
Speaker 2: just looked looked it up. There is not I just

930
00:49:48,840 --> 00:49:51,560
Speaker 2: just imaged Google image search this. Yeah, there is not

931
00:49:51,960 --> 00:49:57,560
Speaker 2: one like image that's not like, we love Javelina. Yeah,

932
00:49:57,640 --> 00:50:00,239
Speaker 2: there's a one where it's a Javelina A five are

933
00:50:00,360 --> 00:50:04,520
Speaker 2: underneath saying I'm joining the War of Javelina on the

934
00:50:04,719 --> 00:50:06,320
Speaker 2: side of Javelina.

935
00:50:06,840 --> 00:50:10,400
Speaker 1: And also they're kind of cute, They're adorable. That is

936
00:50:10,480 --> 00:50:12,360
Speaker 1: why this works. They're adorable.

937
00:50:12,800 --> 00:50:15,040
Speaker 2: I mean, it almost thinks I've been looking at all.

938
00:50:15,320 --> 00:50:17,000
Speaker 2: I almost think because I've been looking at them, I

939
00:50:17,040 --> 00:50:17,200
Speaker 2: was like.

940
00:50:17,160 --> 00:50:18,719
Speaker 1: Wait, are all of these babies?

941
00:50:19,200 --> 00:50:21,719
Speaker 2: And it's it can't be that every image of Javelina

942
00:50:21,840 --> 00:50:22,760
Speaker 2: is a baby Javeliner.

943
00:50:22,800 --> 00:50:25,600
Speaker 1: They're like little spotted warthog looking things. Yeah, but they

944
00:50:25,680 --> 00:50:28,520
Speaker 1: look kind of like they look cuty, cute, cute. They

945
00:50:28,560 --> 00:50:31,560
Speaker 1: are cute a cute. They probably stink so bad. Oh,

946
00:50:31,800 --> 00:50:34,440
Speaker 1: you would dry heave just I mean, but it's funny

947
00:50:34,440 --> 00:50:37,920
Speaker 1: to imagine people dry heaving while golfing. That's very funny.

948
00:50:38,440 --> 00:50:42,880
Speaker 1: Just a guy on the backswing. So they did all

949
00:50:42,880 --> 00:50:44,640
Speaker 1: this stuff where they dumped all this crap all over

950
00:50:44,680 --> 00:50:48,000
Speaker 1: It didn't work. They sprinkled granules of coyote urn around

951
00:50:48,040 --> 00:50:51,000
Speaker 1: the course, but did that step Javelinas. Hell no, they

952
00:50:51,120 --> 00:50:55,640
Speaker 1: love it. These little freaks absolutely loved it. The skunk

953
00:50:55,680 --> 00:50:58,880
Speaker 1: pigs went berserk, like doing bumps of cocaine on coyote

954
00:50:58,960 --> 00:51:02,359
Speaker 1: piss at the club. I mean, Ray Hodges, you dog,

955
00:51:02,480 --> 00:51:06,080
Speaker 1: you're going for it. But so I'll just jump to

956
00:51:06,160 --> 00:51:11,960
Speaker 1: the end the solution they're using, Like, oh, now, Bisbee

957
00:51:12,040 --> 00:51:15,160
Speaker 1: says the club is working with restaurant suppliers to scorch

958
00:51:15,600 --> 00:51:19,560
Speaker 1: the grass with one million scovil unit chili oil that

959
00:51:19,680 --> 00:51:23,200
Speaker 1: the club can spray all over the turf without killing it. Whoa,

960
00:51:23,360 --> 00:51:26,040
Speaker 1: so they're spraying with hot saucepae.

961
00:51:25,560 --> 00:51:27,920
Speaker 2: And then everyone who golfs whenever they pick up.

962
00:51:27,840 --> 00:51:31,759
Speaker 1: Their rob your eye and rub your eye. Dude. I

963
00:51:31,880 --> 00:51:34,680
Speaker 1: think maybe we just I think this is no longer

964
00:51:34,760 --> 00:51:37,640
Speaker 1: a golf course. Yeah, I think this is a habitat.

965
00:51:37,719 --> 00:51:41,000
Speaker 1: I think we lost this battle. So anyway, it's good

966
00:51:41,080 --> 00:51:44,160
Speaker 1: for Bisbee, the general manager of the course, for at

967
00:51:44,280 --> 00:51:46,480
Speaker 1: least trying to figure out a way to coexist. But

968
00:51:47,280 --> 00:51:49,360
Speaker 1: I don't know. It seems like an uphill battle to me.

969
00:51:50,360 --> 00:51:53,080
Speaker 2: Uh well, that was great. Well, congratulations Scotty.

970
00:51:53,520 --> 00:51:56,920
Speaker 1: Thanks. We did another six six stories this time. Well

971
00:51:57,000 --> 00:51:58,080
Speaker 1: it was sort of a yard sale.

972
00:51:58,200 --> 00:52:00,279
Speaker 2: It was a little bit of a yard sound God

973
00:52:00,400 --> 00:52:04,920
Speaker 2: bless it. Yeah, Well, folks, remember Pittsburgh versus Philly. That's

974
00:52:04,920 --> 00:52:05,800
Speaker 2: a very real battle.

975
00:52:05,920 --> 00:52:09,720
Speaker 1: Yeah, the gauntlet has been dropped. Thank you Lisa Maggott,

976
00:52:09,760 --> 00:52:13,640
Speaker 1: our real full human part time employee, Katie Levine, our

977
00:52:13,680 --> 00:52:17,440
Speaker 1: wonderful producer, and all the wonderful people at the Exactly

978
00:52:17,560 --> 00:52:34,200
Speaker 1: Right Network who we love. Woanas Bananas. Bananas is an

979
00:52:34,239 --> 00:52:38,080
Speaker 1: exactly right media production. Our producer and engineer is Katie Levine.

980
00:52:38,560 --> 00:52:41,800
Speaker 1: The catchy Bananas theme song was composed and performed by Kahan.

981
00:52:42,040 --> 00:52:45,600
Speaker 1: Artwork for Bananas was designed by Travis Millard, and our

982
00:52:45,640 --> 00:52:49,120
Speaker 1: benevolent overlords are the Great Karen Kilgareff and Georgia Hartstart

983
00:52:49,200 --> 00:52:51,960
Speaker 2: And Lisa Maggott is our full human, not a robot

984
00:52:52,080 --> 00:52:52,480
Speaker 2: intern