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Speaker 1: Okay, here it is. Here's what crypto trading hamster performs

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Speaker 1: better than Warren Buffett and the s MP five hundred.

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Speaker 2: Oh, I only understood the word hamster in that sentence.

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Speaker 2: You said, Oh, let's get into some furry crypto bananas.

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Speaker 3: Says still world, Unstan, would you believe in.

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Speaker 1: Your midzillion pieces, would you believe?

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Speaker 3: Bananas? Banana? Bananas, baby bananas.

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Speaker 1: Folks, Welcome to Bananas. I'm Kurt Brown Older.

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Speaker 4: I'm banana boy number two. Scott Ilanis.

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Speaker 2: I am so so excited to have our guests on

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Speaker 2: because I read her books and I think she could

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Speaker 2: be banana woman number three.

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Speaker 1: Oh my god, one hundred percent. Our guest today is

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Speaker 1: an incredibly funny and award winning science writer and author.

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Speaker 1: Her books Grunt, Gulp, Bonk, Spook Stiff are not only

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Speaker 1: insightful and hilarious, but have the best titles in the biz.

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Speaker 1: Thank you, and her newest book, Fuzz When Nature Breaks

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Speaker 1: the Law, just hit number five on the New York

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Speaker 1: Times bestseller list. Please welcome the incomparable Mary Roach.

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Speaker 3: All Right, Hey, thanks, thanks you guys.

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Speaker 1: Welcome, Thank you so much for being here.

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Speaker 3: Oh man, I'm so happy to be here.

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Speaker 4: So you have the new book out. It's called Fuzz.

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Speaker 2: When I heard about this book, when I heard you

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Speaker 2: on Fresh Air, I said, oh my god, I really

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Speaker 2: really do feel like you could have been the third

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Speaker 2: banana on this podcast, because we like, we like true

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Speaker 2: stories about real things that just take this turn. And

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Speaker 2: that seems to be the special like your specialty with

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Speaker 2: all your books. It's like, here's something we've all heard about,

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Speaker 2: but I'm just gonna get to an absurd level of

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Speaker 2: discovering what's really going on.

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Speaker 4: And I love that.

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Speaker 3: Oh yeah, for sure, that is me. That's me all over. Yep.

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Speaker 1: And Fuzz is about animals breaking the law and when

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Speaker 1: kind of you know, humanity and animals come into conflict

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Speaker 1: with each other.

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Speaker 3: Yeah, exactly. So it goes crime by crime. That's how

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Speaker 3: the book is structured, obviously using crime you know, quotation marks.

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Speaker 4: I'm doing it with your y air quotes.

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Speaker 3: Thank you air quotes. It has a name. So yeah,

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Speaker 3: So we start out with your felony crimes, your murder,

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Speaker 3: your manslaughter, home invasion, grand theft, sunflower seed. The book

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Speaker 3: is more your misdemeanors, get your jaywalking, your vandalism, littering.

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Speaker 3: So that's just kind of a fun way to structure

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Speaker 3: the book. But it's Yeah, so it's a book of

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Speaker 3: people and animals. People in wild animals kind of getting

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Speaker 3: in each other's way and how to deal with that.

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Speaker 1: Yeah, the Jaywalking chapter. I was surprised to learn that

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Speaker 1: a turkey vulture hit the space shuttle on the way

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Speaker 1: up once I had Turkey vultures are big animals.

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Speaker 3: Yeah, yeah, though not compared to a space shuttle, So

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Speaker 3: most of the damage was to the turkey vulture, I

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Speaker 3: could imagine, although they were pretty nervous about that at NASA.

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Speaker 3: And then because of this incident, there is now over

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Speaker 3: at Kennedy Space Center in the general vicinity. They have

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Speaker 3: a road this is their term, a roadkill posse that

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Speaker 3: goes out and cleans up roadkill really fast because they

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Speaker 3: don't want vultures anywhere in the area.

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Speaker 4: Oh what a dream job.

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Speaker 3: Yeah, road kill posse. I'm want to be on the

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Speaker 3: road kill posse.

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Speaker 2: Is that.

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Speaker 3: I don't think they do? Ride horse?

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Speaker 1: Do you think they're out there? Just like I'm helping

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Speaker 1: space travel, Yes, put a dead bird.

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Speaker 3: I'm standing with a dead decomposing raccoon going I'm helping

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Speaker 3: put humans in space.

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Speaker 2: I was in Louisiana once and I was just telling

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Speaker 2: a story, just no big deal, but I said the

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Speaker 2: word vulture. I just I was just like and then

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Speaker 2: these vultures flew in and all the young I was

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Speaker 2: like twenty ish at the time, and all the people

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Speaker 2: I was with who were from the South, all looked

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Speaker 2: at each other and then looked back at me with

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Speaker 2: like a smirk. And I was like, what did I

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Speaker 2: say something wrong? And They're like, we've just never heard

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Speaker 2: anybody say vulture, Like we know what that is. But

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Speaker 2: I was like, why what do you call it? And

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Speaker 2: they're like buzzards And I was like, I felt so

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Speaker 2: like stupid. I was like yeah, and they were like

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Speaker 2: just thought. I was like this hoity toity kid from

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Speaker 2: Maryland that was like, hey, dude, you're using vulture.

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Speaker 3: Yeah, buzzard people say buzzard. That's right. I'm from New England.

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Speaker 3: We don't have to be word. We don't say.

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Speaker 4: Buzzared No, exactly.

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Speaker 3: I don't think we have to we I never saw

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Speaker 3: a vulture growing up there.

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Speaker 1: Oh, I think there's turkey vultures up there?

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Speaker 3: Are there turkey vultures up there? Yeah? I don't know

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Speaker 3: it's like I grew up in the sticks, really, and

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Speaker 3: I spent all my time in the woods. I don't

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Speaker 3: remember seeing a bear. I don't even remember, dear, I

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Speaker 3: don't like, I like, I've forgotten all the wildlife, which

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Speaker 3: is weird. So there were vultures.

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Speaker 1: Yeah, that was one thing about your book for Bears

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Speaker 1: that I was surprised at. That bears fight people the

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Speaker 1: way they fight other bears, which is to go for

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Speaker 1: their teeth, which is terrifying, which is.

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Speaker 3: Face, to go for the face. Yeah, they use their

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Speaker 3: teeth and they go right for the because the face

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Speaker 3: is lightly bird uh, so you could do more damage.

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Speaker 3: And that's not a pretty bigture. I know, I know,

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Speaker 3: I know, fortunately pretty rare.

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Speaker 4: Right.

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Speaker 1: Do you want to hear about something adorable?

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Speaker 4: Yes? Tell us more about this crypto Gerbil or crypto Hamster.

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Speaker 3: Yeah.

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Speaker 1: This was sent in by Lindsey Hyler on Instagram. Thank you, Lindsey.

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Speaker 1: Un This was published on NPR, written by Deepa Chivarram.

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Speaker 4: Who is She's good, the best, She is the best

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Speaker 4: in the business.

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Speaker 1: The title again is Crypto Trading Hamster performs better than

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Speaker 1: Warren Buffett and the SMP five hundred Okay, alrighty meet

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Speaker 1: mister Gox, a hamster who works out what is possibly

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Speaker 1: the most high tech hamster cage in existence. It's designed

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Speaker 1: so that when mister Gox runs on the hamster wheel,

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Speaker 1: he can select among dozens of cryptocurrencies. Then, deciding between

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Speaker 1: two tunnels, he chooses whether to buy or sell. According

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Speaker 1: to the Twitch account for the hamster, his decision is

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Speaker 1: sent over to a real trading platform, and yes, real

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Speaker 1: money is involved. Okay, look, we're not telling you to

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Speaker 1: follow in this hamster's financial decisions or that this process

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Speaker 1: is scientific in any way. The human behind this hamster's

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Speaker 1: account and money has not been made public, but we

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Speaker 1: can tell you that his portfolio is up nearly twenty

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Speaker 1: percent since he started trading in June, according to his

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Speaker 1: Twitter account, and as of September twelfth, mister gox was

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Speaker 1: performing better than Bitcoin, the Nasdaq one hundred, Warren Buffett's

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Speaker 1: Berkshire Hathaway, and the S and P five hundred. Oh yeah,

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Speaker 1: there it is this and it's adorable. It's just a

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Speaker 1: little wooden wheel and then there's a like a tag

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Speaker 1: across the top. As he turns, it kind of just

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Speaker 1: moves from like bitcoin to different types of cryptocurrencies, and

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Speaker 1: then it's just two tunnels and they light up when

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Speaker 1: he runs through one, and it buys and sells. So

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Speaker 1: I guess that's what That explains a lot about bitcoin,

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Speaker 1: that it just just total randomness could make you a

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Speaker 1: ton of dough.

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Speaker 3: Wow. Had a hamster I want?

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Speaker 4: Yeah? Was it a favorite pet, a beloved pet?

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Speaker 3: No? No, no. I I was the kind of child

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Speaker 3: that would decide that I wanted a pet and then

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Speaker 3: just just get just disenchanted. And this hamster was named

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Speaker 3: goofy Gus, which I think my dad named that hamster

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Speaker 3: because there was some old tiny character named goofy Gus.

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Speaker 3: But goofy Gus, Oh god, it's got something happened to

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Speaker 3: his eye, and it kind of like happens.

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Speaker 4: All the time.

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Speaker 3: Really, did your hamster?

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Speaker 4: Did you have a mine got out? I had one

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Speaker 4: named Cheerios.

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Speaker 2: We talked about him on the podcast before it got

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Speaker 2: out for about six weeks, and then I was playing

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Speaker 2: a game in my neighbor's yard and just saw Cheerios

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Speaker 2: running across the yard, so we thought it was a boy.

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Speaker 2: We caught it, we gave it to another neighbor, and

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Speaker 2: then it gave birth. So it was a true mystery

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Speaker 2: of a hand. Six six weeks out in the wild.

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Speaker 2: It's the best time that hamster ever had.

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Speaker 3: I knew this girl, Ellen Minord, and she had a

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Speaker 3: hamster that got out. They're always getting it, they're always escaping.

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Speaker 3: They're not happy. I guess they're all So they did.

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Speaker 3: They didn't know where it went, and uh uh. Some

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Speaker 3: weeks later began to smell something and found it behind

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Speaker 3: the electric organ. It had been electrocuted behind. Yeah, but

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Speaker 3: the electric org.

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Speaker 1: Oh my god.

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Speaker 4: I just keep getting the organ tunes.

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Speaker 3: They're like, come on, just like f sharp is something's

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Speaker 3: wrong here.

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Speaker 1: I understand that idea of like getting disenchanted with a pet.

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Speaker 1: I remember I got a rabbit as a pet when

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Speaker 1: I was I don't know. It must have been like

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Speaker 1: a nine or something sweet and you're just you're just like, oh,

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Speaker 1: this is gonna be the sweetest pet ever. And it

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Speaker 1: was just it was an angry rabbit. The cage we

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Speaker 1: had kept we had to keep kept it outside for

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Speaker 1: some reason. I don't even know it, Yes, exactly right.

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Speaker 1: It was outside in the winter time. We had the

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Speaker 1: whole like contraption. I could just kind of like walk

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Speaker 1: over in front of its jail cell, and it would

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Speaker 1: like peer out at me, hate, hatefully, and I would

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Speaker 1: be like, I don't understand why we're not in love,

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Speaker 1: but it's like, oh, well, because we put it in

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Speaker 1: a jail cell in the backyard anywhere.

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Speaker 3: I got an aquarium once, and I got it got

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Speaker 3: taken over by those little horrible snails out of tiny

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Speaker 3: little snails that I didn't want to deal with it anymore.

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Speaker 3: So there were the remaining fish. I flushed them down

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Speaker 3: the toilet. I feel really sad to say this, really embarrassed.

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Speaker 3: I was young. I was what I was in like

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Speaker 3: fourth grade? Yeah, yeah, all right, So I and I

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Speaker 3: one time, I for I used to do celebrity interviews

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Speaker 3: and I was interviewing Nicholas Cage, who had an octopus

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Speaker 3: in a giant aquarium, and I told him, of course

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Speaker 3: my story of the fish, and I told I shared

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Speaker 3: that embarrassing fact that I had flushed the remaining few

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Speaker 3: down the toilet, and like the interview went on, and

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Speaker 3: then like half an hour later he goes, you know,

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Speaker 3: you could have given those fish away.

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Speaker 1: Like during the interview, he said, I like, after it

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Speaker 1: was over, No dirry.

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Speaker 3: During the I mean it was live. I've just taken

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Speaker 3: you know, recording it whatever. Oh yeah, yeah, but he

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Speaker 3: just he brought it up again. And then years later

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Speaker 3: there was a news story about Nicholas Cage and it

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Speaker 3: said the person said, I understand you, Nicholas Cage, I

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Speaker 3: understand you flushed fish down the toilet and he goes, no,

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Speaker 3: that was the reporter, and like it came back. Unbelievable,

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Speaker 3: weird Nicholas Cage dead fish thing in my life.

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Speaker 2: I have a theory about Nick Cage because he made

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Speaker 2: so many great movies early on, incredibly good movies and

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Speaker 2: really interesting performances, an absolutely talented guy.

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Speaker 4: Then now he's in this weird area where he makes

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Speaker 4: any movie.

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Speaker 2: You can turn on all the streamers and watch any

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Speaker 2: like I have my buddy Pat Walsh and I will

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Speaker 2: text and I'm like, have you seen this?

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Speaker 4: And he's like, I've seen it. But I think we're

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Speaker 4: the two people in the world that have seen this movie.

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Speaker 2: But I have this weird feeling that because he is

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Speaker 2: so good and because of exactly what you said, he

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Speaker 2: has like this uncanny ability to surprise you all the time,

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Speaker 2: that he might come back and win another Academy Award

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Speaker 2: and make five great movies in a row, and we'll

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Speaker 2: have like a reverse bell curve career where it's just

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Speaker 2: like or a double bell curve.

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Speaker 4: That's probably what it'll be. I just feel like Nick

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Speaker 4: Cage is going to make a huge ca oh Scottie,

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Speaker 4: and like, pig, Pig is it?

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Speaker 3: Yeah, Pig is it?

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Speaker 1: Pig is it?

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Speaker 3: I haven't seen Pig, but I hear it's really Have

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Speaker 3: you seen it?

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Speaker 1: Yes, I've seen it, and it's good, weird and good

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Speaker 1: and beautiful and fascinating, and he's just excellent in it

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Speaker 1: as well.

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Speaker 4: So that's so cool hearing that fish story.

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Speaker 2: When I was in college, I lived off campus junior

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Speaker 2: and senior year, and we got an aquarium because we

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Speaker 2: were bored and we wanted to have pets, just like

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Speaker 2: all of us. So we all got fish and then

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Speaker 2: we all kind of knew whose fish was them. Everybody

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Speaker 2: had their fish. And one of my roommates fish died

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Speaker 2: when he was in class, and so we flushed it

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Speaker 2: down the toilet and my then roommate Franco comes in

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Speaker 2: and we're like, hey, dude, your fish died, and he

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Speaker 2: like goes over the aquarium. He's like where and we

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Speaker 2: were like, oh, we we flushed it. And he's like

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Speaker 2: what and we're like, yeah, we flushed it in the toilet.

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Speaker 4: He goes, what do you mean?

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Speaker 2: And we were like, I'm so sorry, Like we didn't

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Speaker 2: want a dead fish just floating around the tank the

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Speaker 2: whole time, maybe infecting the other fish or whatever. He goes,

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Speaker 2: I was going to burn that fish, and I go what.

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Speaker 2: He goes, I was going to burn that fish, and

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Speaker 2: we all thought he was just joking. We were like,

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Speaker 2: what do you mean. He's like I wanted he wanted

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Speaker 2: to build like a little Viking pire in the backyard

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Speaker 2: and send it to fish Heaven. But we didn't know this,

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Speaker 2: so so we were like, you were what. And so

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Speaker 2: he just starts yelling I was going to burn that fish,

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Speaker 2: and we all think this is a bit. We're like, oh,

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Speaker 2: Franco's just doing a bit. Then he goes into his

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Speaker 2: room for about four hours playing let the Body hit

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Speaker 2: the floor by that band drowning pull at full vall.

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Speaker 4: So we're like he's really good.

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Speaker 2: We're like, is this the best comedy bit or is

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Speaker 2: he really angry at us and wants us all to

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Speaker 2: die for flushing his dead goldfish and then he comes

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Speaker 2: out yells I wanted to burn that fish, walks outside,

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Speaker 2: getting in his truck, peels out into the highway, almost

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Speaker 2: gets in a car accident, and then didn't talk to

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Speaker 2: us for the rest of the night. And I asked

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Speaker 2: him about it last year over zoom doing like a

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Speaker 2: choir drinks. I was like, did you seriously? He was like, no,

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Speaker 2: I wasn't really that mad. I was a little mad,

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Speaker 2: but then it did become a bit. But for about

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Speaker 2: twelve hours we weren't sure if we were living with

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Speaker 2: an actual murderer who was so mad because he wanted

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Speaker 2: to give a Viking funeral to his fish.

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Speaker 1: Also, giving a Viking funeral to the fish is definitely

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Speaker 1: not sending it to fish heaven. That's definitely setting it

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Speaker 1: to hell. Letting the toilet is the fish heaven.

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Speaker 3: Well, at least he waited until it was dead. At

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Speaker 3: least you waited until it was dead before you flushed

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Speaker 3: it down the toilet.

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Speaker 1: Well, I have a little We did do a story

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Speaker 1: recently that there Lake Huron is now currently overwhelmed with goldfish.

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Speaker 1: They have millions and millions of goldfish. Because most you know,

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Speaker 1: most home fish are very hearty species, and that's why

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Speaker 1: they're you know, given to children to just keep in

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Speaker 1: a tank. And so a lot of them do survive

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Speaker 1: the trip through the toilet into waterways, and so much

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Speaker 1: so that there's like a problem, like they have to

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Speaker 1: cull millions of goldfish out of Lake Huron currently. So

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Speaker 1: maybe I'm glad to.

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Speaker 3: Hear then maybe maybe maybe they survived.

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Speaker 1: The tank had I had a lot of them, was

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Speaker 1: a septic tank.

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Speaker 3: Yeah, we had a septic tank, Kurt, So so I'm

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Speaker 3: thinking probably if they did survive, they wanted to be dead. Yeah,

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Speaker 3: they would rather be dead, for sure. I had a

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Speaker 3: crayfish once that I took home from the classroom. I'm like,

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Speaker 3: I'll take the crayfish. His name was Rudolph. I'll take

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Speaker 3: the crayfish. And I had it in a tub and

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Speaker 3: I'd feed it tuna. And I realized again very quickly,

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Speaker 3: I don't want I don't want a crayfish. And this

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Speaker 3: one I took it down to the pond and let

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Speaker 3: it go. It's probably it's the wrong complete, wrong ecosystem

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Speaker 3: for a crayfish. But anyway, yeah, I wasn't good with pets.

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Speaker 2: Do you feel like part of the reason that you

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Speaker 2: write the types of books that you do is because

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Speaker 2: you lose interest in topics and like that. You like

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Speaker 2: to like focus on something and then put it behind.

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Speaker 3: You have a short attention span, whether it's pets or books. Yes, yes,

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Speaker 3: definitely like people people. My editor would go, Mary, Mary,

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Speaker 3: don't you think you should do a follow up to Stiff,

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Speaker 3: like Stiff too or Stiffer whatever it is, And I'm like, oh,

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Speaker 3: like you can.

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Speaker 1: I know.

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Speaker 3: I'm done with the dead people.

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Speaker 1: I love them.

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Speaker 3: They were very good to me, the canavers, they were

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Speaker 3: my friends. And now I'm done. I've like a flush,

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Speaker 3: I've flushed them down the toilet.

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Speaker 4: I absolutely get it. Yes, exactly.

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Speaker 2: Oh and we are a huge chunk of our fan

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Speaker 2: base or true crime fans. They came over from my

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Speaker 2: favorite murder podcast. We call them the Murdering Open Animals.

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Speaker 2: And if any of the Murdering o Ban animals out

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Speaker 2: there haven't read Stiff, which is the life of cadavers

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Speaker 2: what happens to dead body. It is so fascinating. It's

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Speaker 2: it's just awesome, and I think all our true crime

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Speaker 2: fans will love that.

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Speaker 3: True crime That's cool. This is I just saw on

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Speaker 3: Twitter that. I think it's like crime Reads or some

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Speaker 3: you know, true crime type. Twitter Feed has picked up

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Speaker 3: fuzz because you know there's all these criminal forensics of

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Speaker 3: the taxis and stuff. So this is a new audience

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Speaker 3: for me, the true crime one.

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Speaker 1: Yeah, yeah, kind of on the in.

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Speaker 3: A weird sideways way. I'm in.

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Speaker 4: So are we Yeah?

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Speaker 2: Yeah, we are too. We're like the dumb Brothers. We're

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Speaker 2: like the goofball brothers. They're like who likes to party

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Speaker 2: and they're like, after dateline's over, we will have them.

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Speaker 4: Okay, donkey, let's move off of death.

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Speaker 2: Let's move into thought experiments, which I'm sure when you're

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Speaker 2: coming up with your ideas and Kurt, I know as

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Speaker 2: a stand up you do this too. This one I

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Speaker 2: just couldn't resist. This is sent in by Steph KG

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Speaker 2: twenty one. Thank you, Steph KG twenty one, written by Kurt.

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Speaker 2: This guy's really good. Read Macarter. You like read Macarter?

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Speaker 2: Oh you mean the best in the business. Yeah, he's

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Speaker 2: that good. He is a writer for the AV Club

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Speaker 2: and we actually legitimately love the AV CLUBMM here's a

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Speaker 2: scientific inquiry into the number of s'mores you could make

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Speaker 2: out of the stay puffed marshmallow Man's body.

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Speaker 4: This is great. I think this is going to be

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Speaker 4: up all of our allies.

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Speaker 2: When Gozer the Gozairean was defeated after taking the dread

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Speaker 2: form of a towering, stay puffed marshmallow Man, this isn't

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Speaker 2: Ghostbusters to anybody.

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Speaker 4: Under thirty years old. I guess.

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Speaker 2: The ancient god of destructions Avatar exploded into a massive

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Speaker 2: shower of melted sugary goop. Now, the marshmallow Maren's innerds

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Speaker 2: looked pretty tasty, so at mel Magazine they took the

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Speaker 2: logical step of asking a mathematician to calculate exactly how

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Speaker 2: many s'mores these delectable monster innerns could create. This is great, right,

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Speaker 2: I mean, who doesn't want to know how many smores

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Speaker 2: you can make out of the state puff marshmallow Man.

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Speaker 2: After establishing that somehow there wasn't a clear answer to

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Speaker 2: this pressing question available on the Internet already, which is shocking,

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Speaker 2: weird brought right, Brian van Hooker decided to bring his

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Speaker 2: query to nodding Trent University mathematician James Hint, so they

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Speaker 2: know that the marshmallow Man was precisely one hundred and

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Speaker 2: twelve point five feet tall that how do they know this?

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Speaker 2: That's I guess that is available online. Oh no, it's

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Speaker 2: in bonus features of Ghostbusters. So the DVD Life Godess

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Speaker 2: again rest in p DVDs. Hint was able to start

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Speaker 2: on the process of breaking down the creature into sections

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Speaker 2: that allowed him to create a volumetric marshmallow model. Through

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Speaker 2: the elaborately calculated figures in graphs, Hint was able to

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Speaker 2: determine that the marshmallow Man has a cubic volume of

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Speaker 2: one hundred and fifty one nine hundred and sixty point

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Speaker 2: two cubic feet. He took away non marshmallow bits from

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Speaker 2: the equations, such as the marshmallow Man's pupils, mouth, neckerchief,

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Speaker 2: and certain.

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Speaker 4: Parts of his hat.

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Speaker 1: Oh my god, I love this guy.

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Speaker 2: So the edible parts leave one hundred and fifty one

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Speaker 2: point seven to seven two point two cubic feet or

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Speaker 2: just a weight of four point seven million pounds. So

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Speaker 2: Van Hooker used some store marshmallows and math to convert

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Speaker 2: all of his knowledge into the answer is he can

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Speaker 2: make three hundred million standards eyes, marshmallows, s'mores. The state

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Speaker 2: puff marshmallow Man could feed almost everybody in America could

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Speaker 2: get once more from the blown up State puff marshmallow man.

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Speaker 3: Oh I love that. I love that. That's the way

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Speaker 3: my brain worked.

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Speaker 2: Yes, I was hoped, and so it would be one

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Speaker 2: hundred and fifty million Graham Crackers and seventy five million

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Speaker 2: Hershey's bars, and so almost everybody in the United States

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Speaker 2: could get usmore from the blown up State puff marshmallow man.

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Speaker 3: See that's how my brain works. I had a job.

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Speaker 3: I had a job in the public affairs office. Well

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Speaker 3: it was a trailer at the zoo, a public public

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Speaker 3: relations type person.

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Speaker 4: And really that seems funny.

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Speaker 1: It was before you started writing yeah, yeah, yeah, back.

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Speaker 3: Yeah, my twenties. And but I wasn't really cut out

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Speaker 3: for public relations because I would I didn't do damage control.

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Speaker 3: I didn't spin things like I got a call once

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Speaker 3: from a reporter who said, we heard a rumor that

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Speaker 3: the cheetah, a cheetah at the zoo was sucked dry

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Speaker 3: by ticks, and they asked me to comment on this,

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Speaker 3: and rather than deny it, you know, or do damage control,

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Speaker 3: I was like, oh, how many ticks would that take? Like,

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Speaker 3: and I'm like saying to the reporter, we can figure

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Speaker 3: this out. Like, how much blood in a cheetah? How

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Speaker 3: much blood pertic? How many ticks would it take? Yes?

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Speaker 3: And my boss Yes, My boss is like, Mary, what

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Speaker 3: are you doing? Just deny it. It's not true. So anyway,

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Speaker 3: I can totally relate to that. I would spend a

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Speaker 3: whole afternoon doing that. I did not figure out the

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Speaker 3: cheetah tick issue, but that's the kind of thing now

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Speaker 3: that I can do, now that I'm free to write books.

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Speaker 3: That's the kind of rabbit hole I love. Awesome they

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Speaker 3: figured it.

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Speaker 4: Out, Yeah, they did. I once stood that on Twitter.

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Speaker 2: I wanted to see how much it would be to

434
00:22:48,800 --> 00:22:51,600
Speaker 2: fill a king sized waterbed with Bailey's Irish cream. And

435
00:22:51,720 --> 00:22:53,920
Speaker 2: I just put it to Twitter and I'll look it

436
00:22:54,040 --> 00:22:57,680
Speaker 2: up because I had a lot of people respond but

437
00:22:58,200 --> 00:22:59,320
Speaker 2: like I would say.

438
00:22:59,320 --> 00:23:01,119
Speaker 1: Thirty people allens or something.

439
00:23:01,520 --> 00:23:03,800
Speaker 4: Yeah, it was a crazy number of bottles. I'll try

440
00:23:03,840 --> 00:23:04,200
Speaker 4: to find it.

441
00:23:04,320 --> 00:23:06,640
Speaker 2: But it made me laugh so hard because the number

442
00:23:06,640 --> 00:23:09,160
Speaker 2: of people that were like, Okay, the average California king

443
00:23:09,280 --> 00:23:11,320
Speaker 2: is this big and this omney gallons and they broke

444
00:23:11,359 --> 00:23:12,920
Speaker 2: it down. So I was like, Okay, I will need

445
00:23:13,880 --> 00:23:16,280
Speaker 2: four hundred and seventy bottles of Bailey's Irish cream to

446
00:23:16,320 --> 00:23:17,840
Speaker 2: sleep on a Bailey's water back.

447
00:23:17,720 --> 00:23:19,680
Speaker 1: Which has always been a dream of always a dream.

448
00:23:20,080 --> 00:23:22,840
Speaker 1: It's probably a little bit different, you know, the density.

449
00:23:24,240 --> 00:23:29,000
Speaker 1: Yeah right, yeah, and if it leaks, it's a hell

450
00:23:29,080 --> 00:23:29,919
Speaker 1: of a mest cleto.

451
00:23:31,160 --> 00:23:31,400
Speaker 3: Yeah.

452
00:23:33,000 --> 00:23:34,240
Speaker 4: Yeah, you don't want that.

453
00:23:34,720 --> 00:23:36,719
Speaker 2: You don't want it, Curt, you want to tease us

454
00:23:36,760 --> 00:23:38,840
Speaker 2: into a commercial break, my friend?

455
00:23:39,080 --> 00:23:39,600
Speaker 1: I sure do?

456
00:23:40,359 --> 00:23:42,440
Speaker 4: Oh heck, yeah, here it is. Okay.

457
00:23:42,520 --> 00:23:46,880
Speaker 1: Do shark gives virgin birth to miracle baby in all

458
00:23:47,000 --> 00:23:53,080
Speaker 1: female tank? Oh oh fun, it's a Jesus shark. Nature

459
00:23:53,160 --> 00:24:18,640
Speaker 1: finds a way, Bananasa, we are backs, gotta outs before

460
00:24:18,680 --> 00:24:20,120
Speaker 1: we get back. I have a wonderful guest.

461
00:24:20,320 --> 00:24:21,200
Speaker 4: I have a bunch.

462
00:24:21,320 --> 00:24:23,560
Speaker 2: Do you have any too, because one of mine kind

463
00:24:23,600 --> 00:24:26,320
Speaker 2: of leads into a story also.

464
00:24:26,960 --> 00:24:29,399
Speaker 4: Okay, you go ahead. Okay.

465
00:24:29,720 --> 00:24:32,159
Speaker 2: So first off is a big shout out to a

466
00:24:32,640 --> 00:24:38,600
Speaker 2: newlywed Bananamal named Nate his partner Samantha d m Us

467
00:24:38,760 --> 00:24:44,560
Speaker 2: on The Bananas Podcast on Instagram, and she said, Samantha

468
00:24:44,640 --> 00:24:47,359
Speaker 2: is six weeks through a twelve week cancer treatment and

469
00:24:47,480 --> 00:24:50,200
Speaker 2: she just wanted to thank Nate for being so incredibly

470
00:24:50,280 --> 00:24:51,440
Speaker 2: supportive and patient.

471
00:24:51,600 --> 00:24:54,160
Speaker 4: Nate, Kurt, and I think you're a very good man.

472
00:24:54,320 --> 00:24:57,760
Speaker 4: Thank you for doing that you Yes, and Mary does too.

473
00:24:59,440 --> 00:25:02,720
Speaker 2: Happy bla a birthday to Russell Bell from Re. Happy

474
00:25:02,920 --> 00:25:06,960
Speaker 2: belated birthday to Zoe Davis, who is a longtime British bananimal.

475
00:25:07,400 --> 00:25:09,159
Speaker 2: Thank you so much, Zoe Hope, this is the best

476
00:25:09,240 --> 00:25:12,600
Speaker 2: year of your whole gosh darn life. And happy belated

477
00:25:12,640 --> 00:25:15,320
Speaker 2: birthday to Sarah from Josh Harper and Charlotte.

478
00:25:15,920 --> 00:25:19,680
Speaker 4: Sarah, I believe is a murdering a bananamal and one

479
00:25:19,720 --> 00:25:21,560
Speaker 4: heck of a cool lady. So thank you and happy

480
00:25:21,600 --> 00:25:22,400
Speaker 4: birthday to everybody.

481
00:25:22,440 --> 00:25:25,359
Speaker 1: What you got, Curtibe nothing, Just as a reminder that

482
00:25:25,440 --> 00:25:28,560
Speaker 1: we have our shows. Yes, you know, if you want

483
00:25:28,600 --> 00:25:32,120
Speaker 1: to come see us live Chicago, New York, Brooklyn, Indianapolis,

484
00:25:32,200 --> 00:25:36,040
Speaker 1: Fort Wayne, Hampton, Connecticut, come on out and we will

485
00:25:36,080 --> 00:25:40,800
Speaker 1: be doing a thing Banana's Confession Scottie at the shows.

486
00:25:41,119 --> 00:25:44,600
Speaker 1: So come bringing your confessions on small pieces of paper.

487
00:25:44,640 --> 00:25:46,159
Speaker 1: There will be a box at the door you can

488
00:25:46,240 --> 00:25:48,840
Speaker 1: put them in, and then we will choose specific confessions.

489
00:25:49,880 --> 00:25:52,000
Speaker 2: That's right right at the front of the stage. So

490
00:25:52,480 --> 00:25:54,560
Speaker 2: make them real. We don't you know, we don't want

491
00:25:54,560 --> 00:25:56,480
Speaker 2: to like help them trapped in a box. We want

492
00:25:56,520 --> 00:25:59,919
Speaker 2: your real bananas Confessions. Please don't confess to murdering anybody,

493
00:26:00,119 --> 00:26:02,240
Speaker 2: because we know Jensen and holes and we will sick

494
00:26:02,320 --> 00:26:04,440
Speaker 2: them on you so fast nobody gets out of those

495
00:26:04,440 --> 00:26:08,080
Speaker 2: theaters alive. But yeah, we'll have paper and pens there

496
00:26:08,119 --> 00:26:09,800
Speaker 2: too if you think of something on the day. But

497
00:26:09,960 --> 00:26:12,600
Speaker 2: we will read those confessions and talk about them at

498
00:26:12,640 --> 00:26:16,240
Speaker 2: the shows. So you know, don't say, Hi, my name's Anthony,

499
00:26:16,320 --> 00:26:20,280
Speaker 2: and I do this horrific thing and then this is

500
00:26:20,359 --> 00:26:23,200
Speaker 2: my last one and Mary, sorry, we're gonna loop you

501
00:26:23,280 --> 00:26:26,320
Speaker 2: into this one because we gotta. We got to give

502
00:26:26,320 --> 00:26:29,000
Speaker 2: a shout out Kurt to Jake Brown, our good buddy. Yes,

503
00:26:30,480 --> 00:26:34,720
Speaker 2: Jake Brown, who helped us with our first live stream

504
00:26:34,800 --> 00:26:37,280
Speaker 2: banana show and is just a really funny writer and

505
00:26:37,320 --> 00:26:40,240
Speaker 2: great dude, tweeted something that has become a reality that

506
00:26:40,320 --> 00:26:43,159
Speaker 2: we need to talk about. If you live in Colorado,

507
00:26:43,480 --> 00:26:47,320
Speaker 2: if you live near Denver. This is coming from Food

508
00:26:47,400 --> 00:26:52,200
Speaker 2: and Wine dot com, written by Jalisa Castrodale. There is

509
00:26:52,280 --> 00:26:56,520
Speaker 2: a Jaegermeister and Chowder Festival happening on October sixteenth at

510
00:26:56,560 --> 00:27:03,240
Speaker 2: Sloan's Lake, out the worst food and drink combination. Twitter

511
00:27:03,359 --> 00:27:05,560
Speaker 2: decided that it was Yeagermeister and chowder.

512
00:27:05,800 --> 00:27:08,720
Speaker 1: It's called Chowdermeister, and Jake and Sam have put it on,

513
00:27:08,840 --> 00:27:11,000
Speaker 1: They've created it, They've made it a reality based on

514
00:27:11,080 --> 00:27:12,360
Speaker 1: a Twitter joke.

515
00:27:12,800 --> 00:27:16,440
Speaker 4: And so we encourage all I might fly out for

516
00:27:16,520 --> 00:27:18,400
Speaker 4: it because it's so stupid and absurd.

517
00:27:18,800 --> 00:27:21,280
Speaker 2: There are twenty five dollars tickets where you get samples

518
00:27:21,320 --> 00:27:24,000
Speaker 2: of various chowders and Yegermeister cocktails.

519
00:27:24,400 --> 00:27:26,320
Speaker 4: Holy shit, I love it.

520
00:27:26,320 --> 00:27:30,920
Speaker 2: It's created by actual real chefs in Denver as well

521
00:27:31,040 --> 00:27:34,080
Speaker 2: as there's a top chef who will be there, Carrie Baird,

522
00:27:34,320 --> 00:27:35,280
Speaker 2: a top chef alum.

523
00:27:35,440 --> 00:27:37,040
Speaker 4: So the food is actually gonna be good.

524
00:27:37,119 --> 00:27:39,000
Speaker 2: This isn't just a reason to go throw up on

525
00:27:39,080 --> 00:27:42,159
Speaker 2: your friends, even though it also is that there's a

526
00:27:42,200 --> 00:27:46,080
Speaker 2: fifty dollars ticket available where you get chowder and yager

527
00:27:46,119 --> 00:27:48,040
Speaker 2: and all those great drinks, as well as access to

528
00:27:48,040 --> 00:27:50,880
Speaker 2: the Fizz Garden, which comes with unlimited samples of beer

529
00:27:50,960 --> 00:27:54,160
Speaker 2: and hard Seltzers. So wash that chowder and bread bowl

530
00:27:54,240 --> 00:27:59,280
Speaker 2: and yeah, Jagger down, Oh god it's and all this

531
00:27:59,440 --> 00:28:02,480
Speaker 2: is going to charity because they're such great people. It's

532
00:28:02,560 --> 00:28:05,080
Speaker 2: going to the Gathering Place, which is a Denver based

533
00:28:05,160 --> 00:28:10,040
Speaker 2: nonprofit that offers a number of resources to people experiencing homelessness.

534
00:28:10,440 --> 00:28:13,680
Speaker 2: Go to chowdermeister, ban animals, wear your shirts, take photos,

535
00:28:13,720 --> 00:28:15,040
Speaker 2: support our good buddies.

536
00:28:16,240 --> 00:28:18,200
Speaker 4: Thank you so much, chowder meister.

537
00:28:18,440 --> 00:28:20,359
Speaker 3: Oh god, oh my god.

538
00:28:20,520 --> 00:28:25,440
Speaker 1: Yeah, Mary uh tell us more about fuzz. Is there

539
00:28:25,760 --> 00:28:29,879
Speaker 1: a specific crime that was one of your favorites or

540
00:28:30,000 --> 00:28:31,960
Speaker 1: most surprising to write about?

541
00:28:34,160 --> 00:28:37,080
Speaker 3: Well, there was a there was a crime that. There

542
00:28:37,119 --> 00:28:43,480
Speaker 3: were a couple uh gull related crimes at the Vatican.

543
00:28:43,800 --> 00:28:46,920
Speaker 3: They were both at the Vatican. The thing that got

544
00:28:47,000 --> 00:28:52,080
Speaker 3: me interested in the Vatican's gull issue was the Okay,

545
00:28:52,280 --> 00:28:55,160
Speaker 3: it's there's this once a year pope. The Pope comes

546
00:28:55,240 --> 00:29:00,160
Speaker 3: out onto the balcony above Saint Peter's Square. There's like

547
00:29:00,160 --> 00:29:03,320
Speaker 3: a big crowd down below, and it's like some sort

548
00:29:03,360 --> 00:29:07,840
Speaker 3: of international Children's day, and he comes out with a

549
00:29:07,960 --> 00:29:13,320
Speaker 3: child or two and they release a white dove in

550
00:29:13,440 --> 00:29:17,640
Speaker 3: a gesture of peace. Okay, and so they let the

551
00:29:17,720 --> 00:29:21,520
Speaker 3: dove go, and this gull comes screaming in and just

552
00:29:21,880 --> 00:29:27,440
Speaker 3: grabs the peace dove, and of course, yes, the gull satan.

553
00:29:28,160 --> 00:29:30,560
Speaker 3: And this is of course caught on video and broadcasts

554
00:29:30,600 --> 00:29:35,320
Speaker 3: all over the world. You probably possibly saw it. And

555
00:29:35,440 --> 00:29:39,240
Speaker 3: then that was the end of that dove release gesture,

556
00:29:39,360 --> 00:29:42,160
Speaker 3: because the next year they released I'm Told. In a

557
00:29:42,240 --> 00:29:46,240
Speaker 3: following year, they released a helium balloon in the shape

558
00:29:46,280 --> 00:29:47,280
Speaker 3: of a dove.

559
00:29:48,760 --> 00:29:49,959
Speaker 1: To kill a sea turtle.

560
00:29:50,600 --> 00:29:53,600
Speaker 3: Yes, exactly, not realizing that. Yes, but.

561
00:29:55,080 --> 00:29:57,960
Speaker 4: I love that kind of story. It happens so much.

562
00:29:59,320 --> 00:30:02,880
Speaker 3: It's so so just just so irony of the you know,

563
00:30:03,080 --> 00:30:04,000
Speaker 3: the peace gesture.

564
00:30:04,120 --> 00:30:08,240
Speaker 1: Just they should just at least like thirty of them,

565
00:30:08,480 --> 00:30:10,040
Speaker 1: just give one a fighting chance.

566
00:30:10,200 --> 00:30:10,400
Speaker 3: Yeh.

567
00:30:10,560 --> 00:30:11,520
Speaker 4: Make it odds makers.

568
00:30:11,640 --> 00:30:13,320
Speaker 3: Yes, that would have been the thing. A flock would

569
00:30:13,360 --> 00:30:14,360
Speaker 3: have been a smart idea.

570
00:30:14,760 --> 00:30:15,800
Speaker 4: Yeah, but it's so nice.

571
00:30:15,800 --> 00:30:17,560
Speaker 2: There were two children with a bird's eye view of

572
00:30:17,640 --> 00:30:21,760
Speaker 2: that exact thing to happen, selected from the Italian masses, like, oh,

573
00:30:21,920 --> 00:30:25,440
Speaker 2: this is your moment you were with God's right hand man.

574
00:30:26,200 --> 00:30:27,480
Speaker 4: Prepare to be amazed.

575
00:30:28,000 --> 00:30:30,760
Speaker 1: Oops. I love that this is a Vatican story because

576
00:30:30,760 --> 00:30:34,800
Speaker 1: it ties perfectly in with our virgin birth. Oh yes,

577
00:30:35,400 --> 00:30:38,440
Speaker 1: shark gives virgin birth to miracle baby and all female tank.

578
00:30:38,520 --> 00:30:42,160
Speaker 1: This was sent in by Maddie Parks on Instagram. It

579
00:30:42,360 --> 00:30:46,560
Speaker 1: is love that Maddie Park published in a website entitled

580
00:30:46,640 --> 00:30:51,920
Speaker 1: interesting Engineering and Okay, I'll take it when.

581
00:30:51,760 --> 00:30:53,800
Speaker 2: I get home from work, I kick off my shoes,

582
00:30:53,840 --> 00:30:56,640
Speaker 2: I put on my slippers, I open up my Kindle

583
00:30:56,760 --> 00:30:59,600
Speaker 2: fire and I read whatever you said.

584
00:31:00,200 --> 00:31:03,120
Speaker 3: You know what. The best engineering magazine title I found

585
00:31:03,160 --> 00:31:04,640
Speaker 3: when I was working on this book because I was

586
00:31:04,720 --> 00:31:06,720
Speaker 3: up with some guys who blow up roads and stuff,

587
00:31:07,800 --> 00:31:13,280
Speaker 3: and there is a journal. It's an industry title. It's

588
00:31:13,280 --> 00:31:16,920
Speaker 3: a journal, and it's called the Journal of Explosive Engineers.

589
00:31:19,120 --> 00:31:21,040
Speaker 4: We got to get a copy. We've got to get

590
00:31:21,080 --> 00:31:22,680
Speaker 4: a copy Elosive Engineers.

591
00:31:25,080 --> 00:31:25,680
Speaker 3: It goes Curt.

592
00:31:28,720 --> 00:31:32,080
Speaker 1: I love vocational magazines. There's one that I've always seen

593
00:31:32,120 --> 00:31:35,400
Speaker 1: around that's just called Super Lawyers, which is just so

594
00:31:36,000 --> 00:31:39,320
Speaker 1: what a funny idea for a magazine. It's a larious magazine.

595
00:31:39,440 --> 00:31:44,760
Speaker 3: I love those. I love those, those targeted audience professional journals.

596
00:31:44,760 --> 00:31:45,360
Speaker 3: They're the best.

597
00:31:45,720 --> 00:31:46,040
Speaker 4: Oh I go.

598
00:31:46,240 --> 00:31:48,160
Speaker 1: It's just mainly one person putting.

599
00:31:47,920 --> 00:31:48,560
Speaker 4: It together with.

600
00:31:50,040 --> 00:31:51,000
Speaker 3: Ten subscribers.

601
00:31:51,760 --> 00:31:56,560
Speaker 1: Yeah, yes, but they still print. They still print, absolutely so.

602
00:31:56,720 --> 00:32:01,920
Speaker 1: This was written by Irmak Baykery. Thank you, Iermak.

603
00:32:02,800 --> 00:32:05,040
Speaker 4: Really good, maybe the best in the business.

604
00:32:05,400 --> 00:32:08,200
Speaker 1: The b I TV, a rare event has taken place

605
00:32:08,360 --> 00:32:11,520
Speaker 1: in the Caligano and Aquarium in Sardinia, Italy. A smooth

606
00:32:11,680 --> 00:32:14,440
Speaker 1: hound shark gave birth to a baby shark with any

607
00:32:14,760 --> 00:32:17,920
Speaker 1: without any male interference, and the tank shift been living

608
00:32:18,000 --> 00:32:21,360
Speaker 1: in for the past ten years with only another smooth

609
00:32:21,440 --> 00:32:26,120
Speaker 1: hound female and no males, reports our Gensia Italia. This

610
00:32:26,320 --> 00:32:30,160
Speaker 1: could prove to be the first and only parthenogenesis example

611
00:32:30,240 --> 00:32:32,880
Speaker 1: in the specific species of shark, and hence the newborn

612
00:32:32,920 --> 00:32:37,200
Speaker 1: female shark is named is Spara, which means hope in Sardinia.

613
00:32:37,920 --> 00:32:44,000
Speaker 1: In our Sardinian, I hope we're just like fingers crossed.

614
00:32:44,040 --> 00:32:45,520
Speaker 1: We can get rid of all the males.

615
00:32:47,320 --> 00:32:47,480
Speaker 4: Right?

616
00:32:49,600 --> 00:32:49,880
Speaker 1: Wow?

617
00:32:51,000 --> 00:32:53,920
Speaker 3: Are they are they? I wonder if they're how maybe

618
00:32:54,200 --> 00:32:58,840
Speaker 3: because it's it's difficult to sex. Some species are like

619
00:32:58,960 --> 00:32:59,720
Speaker 3: chick sexers.

620
00:33:00,040 --> 00:33:02,040
Speaker 4: Thank you who I mean?

621
00:33:02,120 --> 00:33:04,400
Speaker 3: Those people are paying a lot of money because they can.

622
00:33:04,480 --> 00:33:07,200
Speaker 3: They can very quickly. Sort of. It's almost like this

623
00:33:08,440 --> 00:33:12,600
Speaker 3: esp that they have because there's no there's no external sign, right,

624
00:33:12,760 --> 00:33:13,840
Speaker 3: they don't.

625
00:33:15,200 --> 00:33:16,600
Speaker 1: The ak?

626
00:33:16,680 --> 00:33:18,720
Speaker 3: Does the male shark have a thing? Don I don't know.

627
00:33:19,560 --> 00:33:24,880
Speaker 1: I think they're probably sex as well. Have a Speaking

628
00:33:24,960 --> 00:33:29,360
Speaker 1: of chick sexing, has Minari that was very good and

629
00:33:29,480 --> 00:33:33,040
Speaker 1: that's about a big portion of it's about chick sen

630
00:33:33,200 --> 00:33:33,480
Speaker 1: That is.

631
00:33:33,560 --> 00:33:38,720
Speaker 3: Where my chick sexing knowledge comes from Boom too. That

632
00:33:38,840 --> 00:33:39,640
Speaker 3: was a good film.

633
00:33:39,800 --> 00:33:42,160
Speaker 1: They should have called a chick sexing. A lot of

634
00:33:42,240 --> 00:33:45,440
Speaker 1: people would have seen it then would through the room because.

635
00:33:45,200 --> 00:33:48,200
Speaker 3: That's fun to say chick sexing. It sex.

636
00:33:49,760 --> 00:33:52,560
Speaker 1: So this is virgin birth and animals. The surprising event

637
00:33:52,760 --> 00:33:55,960
Speaker 1: is only thought to be due to parthenogenesis literally Greek

638
00:33:56,000 --> 00:33:59,520
Speaker 1: for virgin birth, an asexual reproduction model that needs no

639
00:33:59,640 --> 00:34:03,720
Speaker 1: sperm to fertilize the egg. Parthenogenesis could be seen in

640
00:34:03,800 --> 00:34:06,920
Speaker 1: species such as some reptiles, fish, and even birds that

641
00:34:07,080 --> 00:34:10,800
Speaker 1: normally reproduce sexually, but is especially favored in low density

642
00:34:10,960 --> 00:34:15,480
Speaker 1: populations where females have little chance of meeting partners. Basically,

643
00:34:15,560 --> 00:34:20,960
Speaker 1: what happens is a very the egg is fertilized veried

644
00:34:21,080 --> 00:34:25,000
Speaker 1: by a very immature, young other egg, which almost acts

645
00:34:25,120 --> 00:34:30,200
Speaker 1: like a sperm. And so although it's the same genetic information,

646
00:34:30,560 --> 00:34:36,360
Speaker 1: they're always female because there is no y chromosome, so

647
00:34:36,560 --> 00:34:40,880
Speaker 1: they're always a female wow, and usually and it's an

648
00:34:40,960 --> 00:34:44,600
Speaker 1: exact clone of the mother. And they usually, just like

649
00:34:44,719 --> 00:34:49,480
Speaker 1: most clones, have a low probability of survival because they're

650
00:34:49,520 --> 00:34:53,640
Speaker 1: just not as hardy genetically. But it seems so far

651
00:34:53,800 --> 00:34:56,840
Speaker 1: that is Spara is doing very well. And apparently this

652
00:34:57,000 --> 00:35:00,440
Speaker 1: happens in many, many different species, which I had no

653
00:35:00,640 --> 00:35:01,239
Speaker 1: idea about it.

654
00:35:01,360 --> 00:35:05,640
Speaker 3: So another offspring in the womb is fertilizing.

655
00:35:06,520 --> 00:35:10,200
Speaker 1: No I'm sorry, a very immature egg. So the egg

656
00:35:10,640 --> 00:35:14,239
Speaker 1: is fertilized by another egg. But the egg that's doing

657
00:35:14,320 --> 00:35:17,520
Speaker 1: the work of the sperm quote unquote is a very

658
00:35:17,680 --> 00:35:21,160
Speaker 1: has just been created. So it's much smaller, uh, you know,

659
00:35:21,280 --> 00:35:21,840
Speaker 1: similar to.

660
00:35:22,000 --> 00:35:24,600
Speaker 3: The e And how do they link up? How do

661
00:35:24,680 --> 00:35:26,040
Speaker 3: they hook up those two?

662
00:35:26,800 --> 00:35:27,000
Speaker 2: Yeah?

663
00:35:27,400 --> 00:35:30,840
Speaker 1: You know what interesting engineering doesn't get that deep into.

664
00:35:30,680 --> 00:35:33,960
Speaker 3: It, no, because I'm wondering how what the sex.

665
00:35:33,920 --> 00:35:39,080
Speaker 1: What the you know, the event looked like, right, it

666
00:35:39,200 --> 00:35:40,320
Speaker 1: looks like a miracle.

667
00:35:40,440 --> 00:35:40,720
Speaker 2: Mary.

668
00:35:42,680 --> 00:35:44,360
Speaker 3: You know what I what I learned on when I

669
00:35:44,480 --> 00:35:46,839
Speaker 3: was reporting in New Zealand. I was talking to somebody

670
00:35:46,880 --> 00:35:49,440
Speaker 3: who knows a lot about stoats and he told me,

671
00:35:50,239 --> 00:35:52,719
Speaker 3: what's a that's kind of like a weasel. I think,

672
00:35:53,000 --> 00:35:56,040
Speaker 3: in fact are one of our weasels is known as

673
00:35:56,040 --> 00:35:59,920
Speaker 3: a stoat there. It's one of those fierce tubular guy

674
00:36:00,520 --> 00:36:03,520
Speaker 3: you know, got a long, skinny, kind of mink like.

675
00:36:04,400 --> 00:36:08,840
Speaker 3: He said that this particular stoat that the that the

676
00:36:10,040 --> 00:36:14,319
Speaker 3: father comes in when the when the you know, they've

677
00:36:14,360 --> 00:36:17,680
Speaker 3: had a brood and they've got babies. The baby is

678
00:36:17,840 --> 00:36:21,320
Speaker 3: impregnated while it's still like it's like a newborn, and

679
00:36:21,480 --> 00:36:26,759
Speaker 3: the father impregnates its offspring, and then I think there's

680
00:36:26,760 --> 00:36:31,320
Speaker 3: a I guess a delay obviously because it's a little baby.

681
00:36:31,400 --> 00:36:32,319
Speaker 3: It's not going to give birth.

682
00:36:32,520 --> 00:36:37,160
Speaker 4: And I was like, my goodness, he whoa, whoa.

683
00:36:37,360 --> 00:36:40,399
Speaker 3: That's a lot of crimes all tied together there.

684
00:36:41,600 --> 00:36:43,080
Speaker 1: That's like common in stoats.

685
00:36:43,440 --> 00:36:45,680
Speaker 3: I could this is what this is what he said,

686
00:36:45,719 --> 00:36:48,000
Speaker 3: And I didn't put it in the book because I

687
00:36:48,239 --> 00:36:51,439
Speaker 3: could have find it on the internet. So maybe people

688
00:36:51,680 --> 00:36:54,040
Speaker 3: who are listening can verify that. But that was just

689
00:36:54,200 --> 00:36:58,799
Speaker 3: a kind of an interesting animal sex story. Oh yeah, yeah,

690
00:36:59,040 --> 00:37:02,239
Speaker 3: impregnating his own offspring while they're still in the nest.

691
00:37:03,719 --> 00:37:10,240
Speaker 1: Wow, thanks dude, dude, no good stouts, no good looking goods.

692
00:37:10,320 --> 00:37:13,680
Speaker 1: And if anyone has stoked information about that, please you're

693
00:37:13,719 --> 00:37:16,239
Speaker 1: You're the one person that I've ever heard give the

694
00:37:16,360 --> 00:37:21,000
Speaker 1: fact that the human body can orgasm after death.

695
00:37:21,800 --> 00:37:23,880
Speaker 3: Yeah, well, if you if you hit the nerve right,

696
00:37:24,000 --> 00:37:27,440
Speaker 3: it's a reflex. Yep. There's all kinds of weird reflexes,

697
00:37:27,520 --> 00:37:31,440
Speaker 3: like the Lazarus reflex where the corpse, the body like

698
00:37:31,760 --> 00:37:35,600
Speaker 3: sits up and crosses its arms. The lazarus reflect. Yeah,

699
00:37:35,920 --> 00:37:37,920
Speaker 3: like it And can you imagine if you're in the

700
00:37:37,960 --> 00:37:40,640
Speaker 3: morgue late at night. That's kind of creepy thing to

701
00:37:40,719 --> 00:37:41,439
Speaker 3: witness there.

702
00:37:42,239 --> 00:37:46,279
Speaker 2: Okay, I was waiting tables in Brooklyn about twelve years ago,

703
00:37:46,600 --> 00:37:48,960
Speaker 2: and all the guys that would hang at the bar

704
00:37:49,120 --> 00:37:52,200
Speaker 2: or were retired cops or retired criminals, and if you

705
00:37:52,280 --> 00:37:54,399
Speaker 2: could get them to have that third drink, you would

706
00:37:54,440 --> 00:37:56,839
Speaker 2: get the greatest stories. I don't think I've ever told

707
00:37:56,880 --> 00:37:59,680
Speaker 2: any of these guys stories, but they just had the

708
00:37:59,760 --> 00:38:00,680
Speaker 2: best stories all around.

709
00:38:00,680 --> 00:38:03,000
Speaker 4: And there was this one really really.

710
00:38:02,880 --> 00:38:08,000
Speaker 2: Sweet older guy and retire cop Brooklyn homicide is Hulk

711
00:38:08,080 --> 00:38:10,520
Speaker 2: in the seventies, which is crazy to even think about,

712
00:38:11,080 --> 00:38:14,799
Speaker 2: and he would eventually have like one bes too many

713
00:38:15,239 --> 00:38:16,319
Speaker 2: and just start being like.

714
00:38:16,440 --> 00:38:18,680
Speaker 4: Hey, Scotty, you want to hear a good one. And

715
00:38:19,040 --> 00:38:19,680
Speaker 4: he told me the.

716
00:38:19,719 --> 00:38:22,520
Speaker 2: Story once that he was like probably ten years in,

717
00:38:23,040 --> 00:38:24,960
Speaker 2: gets a call that there's a dead body down, like

718
00:38:25,080 --> 00:38:28,000
Speaker 2: sheep said, Bay goes in the apartment, there's a dead

719
00:38:28,040 --> 00:38:31,200
Speaker 2: guy sitting there and a heart attack. They were like,

720
00:38:31,200 --> 00:38:33,279
Speaker 2: I think it was a heart attack, and so no

721
00:38:33,480 --> 00:38:36,600
Speaker 2: crime committed they put a rookie cop, this young guy,

722
00:38:36,680 --> 00:38:38,720
Speaker 2: and they're like, sit with the body, and the corners

723
00:38:38,760 --> 00:38:41,840
Speaker 2: get here, and when the corner report came in, they

724
00:38:41,880 --> 00:38:43,759
Speaker 2: were like, there was a shooting in sheep, said Bay,

725
00:38:44,200 --> 00:38:46,600
Speaker 2: And what had happened is the corpse had sat up

726
00:38:46,760 --> 00:38:49,000
Speaker 2: and the rookie cop shot it three times in the

727
00:38:49,080 --> 00:38:51,080
Speaker 2: chest because he was so afraid he thought it was

728
00:38:51,120 --> 00:38:53,440
Speaker 2: like coming back to life. And so they had to

729
00:38:53,600 --> 00:38:56,880
Speaker 2: explain that it wasn't a homicide, that it was a

730
00:38:56,920 --> 00:38:59,480
Speaker 2: natural death. Because you're the second person I've ever heard

731
00:38:59,480 --> 00:39:01,680
Speaker 2: talked about that, because I always thought it was alive.

732
00:39:01,760 --> 00:39:04,080
Speaker 2: But yeah, he said, it sat straight up on the sofa,

733
00:39:04,280 --> 00:39:06,879
Speaker 2: dead and this rooky cop just freaked out and fired away.

734
00:39:09,640 --> 00:39:14,520
Speaker 3: I wouldn't I think that would be quite alarming, for sure.

735
00:39:15,000 --> 00:39:18,359
Speaker 3: I would be alarmed. Yeah. No, they and they also, uh,

736
00:39:18,760 --> 00:39:21,840
Speaker 3: they used to have this thing where people because it

737
00:39:21,920 --> 00:39:23,560
Speaker 3: wasn't that easy to figure out if you were dead

738
00:39:23,840 --> 00:39:25,520
Speaker 3: back in the day because it was before you know,

739
00:39:25,560 --> 00:39:29,719
Speaker 3: they couldn't measure brain waves. Sometimes if you were you

740
00:39:29,800 --> 00:39:33,439
Speaker 3: had a really faint heartbeat, they wouldn't hear it. They go, yeah, yeah, yeah,

741
00:39:33,520 --> 00:39:36,360
Speaker 3: she's dead. And then but they start you know, carting,

742
00:39:36,560 --> 00:39:38,320
Speaker 3: they off person off to be buried, and then the

743
00:39:38,400 --> 00:39:40,120
Speaker 3: person would wake up and go what the fuck what

744
00:39:40,840 --> 00:39:43,719
Speaker 3: and then so so people were really scared about being

745
00:39:43,800 --> 00:39:47,480
Speaker 3: buried alive. So they were these coffins where if the

746
00:39:47,560 --> 00:39:50,160
Speaker 3: person woke up, they could pull a little string in

747
00:39:50,280 --> 00:39:52,040
Speaker 3: the coffin and it would ring a bell in the

748
00:39:52,120 --> 00:39:55,080
Speaker 3: mort like, yes, okay, hey I'm alive, come and dig

749
00:39:55,160 --> 00:39:58,239
Speaker 3: me up. But so it happened because they'd tie it

750
00:39:58,360 --> 00:40:02,080
Speaker 3: around part of the body, I guess maybe the hand,

751
00:40:03,080 --> 00:40:08,640
Speaker 3: so the person could pull it that. Sometimes when bodies decomposed,

752
00:40:08,680 --> 00:40:11,359
Speaker 3: you know, that's they'll sort of collapse. So there were

753
00:40:11,440 --> 00:40:13,960
Speaker 3: times when the body kind of collapsed and it pulled

754
00:40:14,040 --> 00:40:19,560
Speaker 3: the alarm, thereby completely freaking out the mortuary staff.

755
00:40:20,239 --> 00:40:23,200
Speaker 1: Of course, because if it's decomposing, it's been in there

756
00:40:23,280 --> 00:40:24,800
Speaker 1: for a while, and the idea that all of a

757
00:40:24,800 --> 00:40:27,680
Speaker 1: sudden a live person waits up a year later.

758
00:40:27,640 --> 00:40:30,480
Speaker 3: It's zombiefying in the coffin, yeah.

759
00:40:30,680 --> 00:40:32,040
Speaker 4: Oh my god, that's terrified.

760
00:40:32,080 --> 00:40:34,120
Speaker 3: But they were like they didn't you know, they didn't

761
00:40:34,120 --> 00:40:36,080
Speaker 3: know it was because it was decomposing. They're just like,

762
00:40:36,440 --> 00:40:39,120
Speaker 3: this person is awake. We've buried the person alive.

763
00:40:40,040 --> 00:40:42,640
Speaker 1: Let's tell their family before we big dig it out.

764
00:40:42,920 --> 00:40:46,560
Speaker 4: Yeah that is so cool? All right, you guys want

765
00:40:46,600 --> 00:40:50,000
Speaker 4: another one here? Yeh see? Oh, may I have a

766
00:40:50,000 --> 00:40:52,720
Speaker 4: writing question. I'm a writer. I write TV and movie.

767
00:40:52,800 --> 00:40:55,359
Speaker 2: He's never written a book, but I was wondering, because

768
00:40:55,360 --> 00:40:58,920
Speaker 2: your books really are so funny. Do you finish your

769
00:40:58,960 --> 00:41:01,920
Speaker 2: book and then do a punch pass where you add

770
00:41:02,160 --> 00:41:04,400
Speaker 2: comedy in a second or third draft.

771
00:41:05,160 --> 00:41:07,920
Speaker 3: Not the whole book, but while I'm writing a chapter,

772
00:41:08,040 --> 00:41:10,279
Speaker 3: I'll go back over it a punch pass. I didn't

773
00:41:10,320 --> 00:41:12,399
Speaker 3: know there was a term for it. Wow. Cool. Yep.

774
00:41:13,560 --> 00:41:15,239
Speaker 3: There'll be a paragraph or a section I'll be like,

775
00:41:15,320 --> 00:41:17,960
Speaker 3: this is too flat. I need something something, it's something.

776
00:41:18,000 --> 00:41:20,520
Speaker 3: I got to break this up and make it funny

777
00:41:20,600 --> 00:41:23,040
Speaker 3: or surprising or something. So yeah, kind of I kind

778
00:41:23,040 --> 00:41:24,759
Speaker 3: of do that, or like, like, this has to be

779
00:41:24,800 --> 00:41:29,080
Speaker 3: a little less, it's too flat. Got punch it up

780
00:41:29,280 --> 00:41:29,640
Speaker 3: a bunch of.

781
00:41:29,920 --> 00:41:30,360
Speaker 1: Terred on it.

782
00:41:30,520 --> 00:41:30,759
Speaker 3: Yeah.

783
00:41:32,000 --> 00:41:32,200
Speaker 4: Yeah.

784
00:41:32,280 --> 00:41:35,120
Speaker 2: In TV and movies, a lot of times they'll hire

785
00:41:35,239 --> 00:41:37,600
Speaker 2: writers just to do a punch pass where you just

786
00:41:37,719 --> 00:41:40,280
Speaker 2: make every scene funnier anyway you see fit.

787
00:41:40,280 --> 00:41:41,520
Speaker 4: You make characters bigger.

788
00:41:41,600 --> 00:41:44,520
Speaker 2: But it's especially what you do in your writing, in

789
00:41:44,600 --> 00:41:47,440
Speaker 2: your pros is it's really those tags or those buttons

790
00:41:47,480 --> 00:41:50,279
Speaker 2: are just adding that little extra thing at the end.

791
00:41:51,680 --> 00:41:53,839
Speaker 2: And so yeah, I was so curious because I when

792
00:41:53,880 --> 00:41:56,920
Speaker 2: I write features to one hundred and ten page movie script,

793
00:41:57,080 --> 00:42:00,440
Speaker 2: I even a comedy, I will go My first drafts

794
00:42:00,440 --> 00:42:04,879
Speaker 2: aren't funny. There, you know, there's the situations are funny. Great, Yeah,

795
00:42:04,960 --> 00:42:07,480
Speaker 2: the dialogue isn't funny. And then I spent almost the

796
00:42:07,640 --> 00:42:09,680
Speaker 2: entire second draft just making everybody funny.

797
00:42:09,760 --> 00:42:11,360
Speaker 3: Yeah, right, right, First you just got to get the

798
00:42:11,440 --> 00:42:15,000
Speaker 3: action in the plot and where everything's going, get the framework,

799
00:42:15,600 --> 00:42:17,880
Speaker 3: and then it's kind of like I kind of picture

800
00:42:18,000 --> 00:42:20,279
Speaker 3: Like I don't do sculptures, but I think you had

801
00:42:20,320 --> 00:42:22,040
Speaker 3: this mound to clay. First, you just got to get

802
00:42:22,080 --> 00:42:24,400
Speaker 3: the general body form, and then maybe you go in

803
00:42:24,480 --> 00:42:27,000
Speaker 3: in like you do the eyelashes, you do whatever you're

804
00:42:27,880 --> 00:42:29,839
Speaker 3: you kind of finesse it and if it's you want

805
00:42:29,880 --> 00:42:31,800
Speaker 3: it to be funny, then that's what you got to do.

806
00:42:31,880 --> 00:42:33,200
Speaker 3: That I didn't know there was such a thing. Then

807
00:42:33,280 --> 00:42:34,040
Speaker 3: what a fun job.

808
00:42:35,000 --> 00:42:37,360
Speaker 2: Oh, it's the greatest. And I get to do it

809
00:42:37,440 --> 00:42:39,560
Speaker 2: for animated stuff, which is really fun. Like I did

810
00:42:39,640 --> 00:42:41,959
Speaker 2: a punch pass on Sonic the Hedgehog, I did Fern

811
00:42:42,080 --> 00:42:45,919
Speaker 2: in the Bull, I did Detective pikachuw And they because

812
00:42:45,960 --> 00:42:49,000
Speaker 2: you can reanimate the animated character's mouths, they can say

813
00:42:49,040 --> 00:42:51,200
Speaker 2: other things. They can say whatever the hell they want

814
00:42:51,280 --> 00:42:54,600
Speaker 2: and be and so like sometimes you're literally writing alt

815
00:42:54,840 --> 00:42:58,360
Speaker 2: alternative like alt jokes, uh, and they'll come in and

816
00:42:58,400 --> 00:43:01,279
Speaker 2: they'll go, Okay, this line, I need five vaults and

817
00:43:01,360 --> 00:43:04,360
Speaker 2: then they'll send somebody back within like ten minutes and

818
00:43:04,480 --> 00:43:06,480
Speaker 2: take it into the room where the actors recording the

819
00:43:06,600 --> 00:43:08,320
Speaker 2: vo and they'll be like, that was great, Do you

820
00:43:08,360 --> 00:43:10,160
Speaker 2: have anything, And then you just do it like on

821
00:43:10,360 --> 00:43:12,560
Speaker 2: the fly, and it's kind of like boiler room. It's

822
00:43:12,600 --> 00:43:16,239
Speaker 2: sort of stressful, but it's also really fun because when

823
00:43:16,280 --> 00:43:18,279
Speaker 2: you go back and if you've read a script and

824
00:43:18,280 --> 00:43:20,320
Speaker 2: then you watch the movie and it's so much funnier.

825
00:43:20,680 --> 00:43:22,520
Speaker 2: You know that there were like ten writers that did

826
00:43:22,560 --> 00:43:24,000
Speaker 2: these punch ups at the last minute.

827
00:43:24,120 --> 00:43:26,400
Speaker 3: Yeah, oh cool, that's amazing. I didn't know that.

828
00:43:27,120 --> 00:43:29,960
Speaker 1: We'll even do it on set, Like I've been on

829
00:43:30,160 --> 00:43:33,560
Speaker 1: set writer, where you're literally while it's being shot, watching

830
00:43:33,640 --> 00:43:36,520
Speaker 1: it and then writing new jokes and then like giving

831
00:43:36,560 --> 00:43:38,640
Speaker 1: them to the actors and then they just reshoot the

832
00:43:38,719 --> 00:43:40,480
Speaker 1: scene and they do new lines.

833
00:43:40,280 --> 00:43:42,320
Speaker 3: That sounds like high pressure. Though, I gotta be, I

834
00:43:42,400 --> 00:43:45,240
Speaker 3: gotta be like, I gotta do it at my own leisurely.

835
00:43:46,760 --> 00:43:49,560
Speaker 1: The very first, the very first time I ever did it,

836
00:43:49,920 --> 00:43:51,879
Speaker 1: the first day I worked it was for this movie,

837
00:43:51,960 --> 00:43:54,480
Speaker 1: The Big Sick, and Holly Hunter's in that movie, and

838
00:43:54,560 --> 00:43:56,560
Speaker 1: I was in there the very first thing. They're like,

839
00:43:56,600 --> 00:43:59,279
Speaker 1: all right, go give punch up to Holly. And that

840
00:43:59,440 --> 00:44:01,640
Speaker 1: was my first time ever. So I'd like go into

841
00:44:01,719 --> 00:44:06,000
Speaker 1: a bathroom and sit on a toilet and Holly like

842
00:44:06,120 --> 00:44:07,759
Speaker 1: sat on the edge of the of the of the

843
00:44:08,440 --> 00:44:10,520
Speaker 1: of the tub. And then I was like, okay, so

844
00:44:10,719 --> 00:44:12,120
Speaker 1: you could say this, and you could say this, and

845
00:44:12,200 --> 00:44:14,839
Speaker 1: she just stared at me. She had never gotten punch

846
00:44:14,920 --> 00:44:17,920
Speaker 1: up on a movie ever, ever, ever, wow, And she

847
00:44:18,080 --> 00:44:20,440
Speaker 1: just stared at me. And I read all of my jokes,

848
00:44:20,800 --> 00:44:23,400
Speaker 1: which you know, and she just stared at me, totally stony,

849
00:44:23,520 --> 00:44:26,120
Speaker 1: and then she went okay. And then I was like,

850
00:44:26,200 --> 00:44:28,640
Speaker 1: oh my god, she hated all of them. And then

851
00:44:28,680 --> 00:44:31,959
Speaker 1: she went and like just killed them, like nailed every

852
00:44:32,040 --> 00:44:33,800
Speaker 1: single one, and then came back and was like that

853
00:44:34,000 --> 00:44:36,200
Speaker 1: was fun. I want more punch up.

854
00:44:37,600 --> 00:44:38,080
Speaker 3: Oh wow.

855
00:44:38,800 --> 00:44:40,160
Speaker 1: That was the most terrifying.

856
00:44:40,760 --> 00:44:43,880
Speaker 4: Oh god, I mean I think you could do it.

857
00:44:44,040 --> 00:44:46,840
Speaker 3: I think no way, couldn't do that, could not do that.

858
00:44:47,320 --> 00:44:49,879
Speaker 3: I'm not I'm not that snappy. I'm not snappy enough.

859
00:44:50,000 --> 00:44:52,960
Speaker 3: You guys are snappy. That's you've got the snappy jobs.

860
00:44:53,000 --> 00:44:56,560
Speaker 3: I'm the I'm a plodding I'm a plotting thing.

861
00:44:58,160 --> 00:45:01,359
Speaker 2: Yes, But just like you, as soon as I'm done

862
00:45:01,400 --> 00:45:03,719
Speaker 2: with the script, I don't ever want to think about

863
00:45:03,760 --> 00:45:06,239
Speaker 2: it again. I just like turn it in and move on.

864
00:45:06,480 --> 00:45:07,640
Speaker 4: And when people are like, do you want to go

865
00:45:07,760 --> 00:45:09,440
Speaker 4: back and change that a little bit, I'm like, I

866
00:45:09,600 --> 00:45:10,239
Speaker 4: think I would rather.

867
00:45:11,080 --> 00:45:14,320
Speaker 2: I just I lose interest in stuff, even stuff that

868
00:45:14,360 --> 00:45:16,200
Speaker 2: I've created, I'm like, no, I just want to think

869
00:45:16,200 --> 00:45:16,839
Speaker 2: about the next thing.

870
00:45:17,040 --> 00:45:18,120
Speaker 1: Yeah, oh yeah, yeah.

871
00:45:18,160 --> 00:45:20,040
Speaker 3: People get people go, oh, and when you when you're

872
00:45:20,239 --> 00:45:22,120
Speaker 3: when you finish a book, do you like write some

873
00:45:22,320 --> 00:45:25,439
Speaker 3: articles like this on the same topic, I'm like, why

874
00:45:25,560 --> 00:45:28,080
Speaker 3: would I do that? Why? Yes?

875
00:45:29,719 --> 00:45:33,440
Speaker 1: No, here's my question because this is something comics and

876
00:45:33,560 --> 00:45:35,960
Speaker 1: comedy writers get all the time. But do people ever

877
00:45:36,440 --> 00:45:38,960
Speaker 1: when you're just like having a boring experience with them

878
00:45:39,080 --> 00:45:41,440
Speaker 1: turn to you and go, is this going to be.

879
00:45:42,000 --> 00:45:43,000
Speaker 4: Your next book?

880
00:45:44,640 --> 00:45:47,160
Speaker 1: And it's like no, because this is incredibly boring. Nothing's

881
00:45:47,200 --> 00:45:48,120
Speaker 1: interesting happen.

882
00:45:48,320 --> 00:45:51,480
Speaker 3: Yeah, I know, I get that. Yeah, you should write

883
00:45:51,480 --> 00:45:53,440
Speaker 3: a book about my friend. Oh my god, I had this.

884
00:45:53,880 --> 00:45:57,440
Speaker 3: My mother in law, a lovely, wonderful woman, ninety six

885
00:45:57,560 --> 00:46:03,480
Speaker 3: years old. She has a friend who her friend is

886
00:46:03,680 --> 00:46:08,400
Speaker 3: all similarly aged and is dating a man in his forties.

887
00:46:08,880 --> 00:46:12,279
Speaker 3: And she said, and the friend asked, my mother in law,

888
00:46:12,600 --> 00:46:15,720
Speaker 3: do you think Mary would want to write a book

889
00:46:16,200 --> 00:46:21,400
Speaker 3: about this? Part of me? Is like, yeah, kind of.

890
00:46:21,480 --> 00:46:24,759
Speaker 1: But not the book that you think maybe, Yeah, that's right.

891
00:46:25,680 --> 00:46:28,040
Speaker 3: Like, and I'm just like, did you ask her? Like?

892
00:46:28,520 --> 00:46:30,640
Speaker 3: Is he trying to It's got to be a money thing, right,

893
00:46:30,880 --> 00:46:33,160
Speaker 3: She's like, I can't ask her that, like give me

894
00:46:33,239 --> 00:46:33,640
Speaker 3: her number?

895
00:46:35,120 --> 00:46:39,800
Speaker 2: Yeah, but you know, wrinkle dating people fifty years younger

896
00:46:39,880 --> 00:46:41,520
Speaker 2: than you, I could see it.

897
00:46:42,960 --> 00:46:44,200
Speaker 4: What do you talk about?

898
00:46:44,480 --> 00:46:44,719
Speaker 3: Yeah?

899
00:46:45,960 --> 00:46:50,240
Speaker 4: Just what you're gonna eat next? Okay, Doky, how about

900
00:46:50,440 --> 00:46:50,960
Speaker 4: this one?

901
00:46:51,239 --> 00:46:51,560
Speaker 3: This one?

902
00:46:51,800 --> 00:46:53,920
Speaker 2: Yeah, this one will be kind of a hypothetical. Is

903
00:46:54,000 --> 00:46:55,840
Speaker 2: this a good thing or a bad thing? This was

904
00:46:55,920 --> 00:46:59,680
Speaker 2: sent in by Danny Dott. I believe it's croche. I'm

905
00:46:59,680 --> 00:47:03,880
Speaker 2: going to say it's Kroscher. Croachy lab grown wooly mammoths

906
00:47:03,960 --> 00:47:07,000
Speaker 2: could walk the Earth in six years if geneticists new

907
00:47:07,080 --> 00:47:10,960
Speaker 2: startup succeeds. This was written by the very best in

908
00:47:11,040 --> 00:47:14,080
Speaker 2: the business. Her name's Catherine Clifford. You guys already know who.

909
00:47:14,120 --> 00:47:18,160
Speaker 2: She writes for the coolest website on the Internet, CNBC

910
00:47:18,440 --> 00:47:22,440
Speaker 2: dot Com. A little more than two years ago, serial

911
00:47:22,520 --> 00:47:28,080
Speaker 2: tech entrepreneur Ben Lamb, that's Lamm, reached out to renowned

912
00:47:28,160 --> 00:47:32,360
Speaker 2: Harvard geneticist George Church. The two met in Boston at

913
00:47:32,480 --> 00:47:36,000
Speaker 2: Church's lab, and that fruitful conversation was the catalyst for

914
00:47:36,040 --> 00:47:40,480
Speaker 2: a startup, Colossal, which is announcing its existence. I think

915
00:47:40,880 --> 00:47:44,239
Speaker 2: it'll be Monday, so it'll be yesterday to everybody listening

916
00:47:44,280 --> 00:47:46,680
Speaker 2: to it on Tuesday. The startup skulls ambitious and a

917
00:47:46,719 --> 00:47:49,400
Speaker 2: little crazy. It aims to create a new type of animal,

918
00:47:49,480 --> 00:47:53,400
Speaker 2: similar to the extinct wooly mammoth, by genetically engineering endangered

919
00:47:53,480 --> 00:47:58,800
Speaker 2: Asian elephants with art to withstand Arctic temperatures. Why the

920
00:47:58,880 --> 00:48:01,160
Speaker 2: project has been kicking around for years but nobody has

921
00:48:01,200 --> 00:48:05,640
Speaker 2: ever given enough funding. But now Lamb's company has raised

922
00:48:05,719 --> 00:48:07,400
Speaker 2: fifteen million in seed funding.

923
00:48:09,160 --> 00:48:11,360
Speaker 1: Who is donating to this Just a bunch of evil

924
00:48:11,440 --> 00:48:15,760
Speaker 1: geniuses in their layers, like yes, bring back the wooly mammoth.

925
00:48:16,160 --> 00:48:18,120
Speaker 4: Yes, very much er exactly.

926
00:48:18,480 --> 00:48:22,760
Speaker 2: The winkle Vosses, for example, the Facebook Winklevosses are investing

927
00:48:22,800 --> 00:48:28,640
Speaker 2: in this, as is Richard Garriott, who's president of the

928
00:48:28,719 --> 00:48:31,080
Speaker 2: Explorers Club, which you might have heard of. He is

929
00:48:31,120 --> 00:48:33,960
Speaker 2: a video game entrepreneur. He spent thirty million dollars recently

930
00:48:34,080 --> 00:48:37,000
Speaker 2: to go to Space as a tourist. You know, you

931
00:48:37,080 --> 00:48:39,520
Speaker 2: know all those tents out in la where homeless people live.

932
00:48:39,640 --> 00:48:42,600
Speaker 2: When the unhoused live, go to space and bring back

933
00:48:42,600 --> 00:48:47,200
Speaker 2: wooly mammoths. Our goal is a successful de extinction of

934
00:48:47,719 --> 00:48:52,520
Speaker 2: inter hyphen breedable herds of mammoth that we can leverage

935
00:48:52,640 --> 00:48:54,160
Speaker 2: in rewilding the Arctic.

936
00:48:54,239 --> 00:48:56,560
Speaker 4: And what a great time to rewild the Arctic. Everything's

937
00:48:56,600 --> 00:48:57,359
Speaker 4: going great up there.

938
00:48:59,120 --> 00:49:01,160
Speaker 2: What a great time to bring back a species when

939
00:49:01,160 --> 00:49:03,160
Speaker 2: it's just gonna be like San Diego up there.

940
00:49:03,200 --> 00:49:07,160
Speaker 1: In the idea of rewilding something as well, it is

941
00:49:07,280 --> 00:49:11,080
Speaker 1: just like is it wild? Then if it's rewilded, yeah,

942
00:49:11,520 --> 00:49:12,520
Speaker 1: it's gonna go bad.

943
00:49:12,640 --> 00:49:15,160
Speaker 3: And you know what that You can just go to

944
00:49:15,280 --> 00:49:18,920
Speaker 3: the LaBrea tar Pit Museum and they have an animatronic

945
00:49:19,360 --> 00:49:22,359
Speaker 3: Willy mammoth there that is oh yeah, it's just as

946
00:49:22,440 --> 00:49:23,960
Speaker 3: far as I'm concerned, it might as well be the

947
00:49:24,040 --> 00:49:27,480
Speaker 3: real deal. So do you really need you really need

948
00:49:27,560 --> 00:49:30,360
Speaker 3: a living, a flesh and blood willy man. I don't know.

949
00:49:30,719 --> 00:49:33,160
Speaker 1: It's such so strange to just be like, we're going

950
00:49:33,280 --> 00:49:37,879
Speaker 1: to introduce a massive carnivore to an ecosystem that has

951
00:49:38,000 --> 00:49:42,960
Speaker 1: not had that carnivore for millions and millions of years.

952
00:49:43,120 --> 00:49:46,799
Speaker 1: It's such a strange. It's oh, it's just like these

953
00:49:46,960 --> 00:49:52,120
Speaker 1: it's like billionaires, just like wet dreams that are seemingly

954
00:49:52,360 --> 00:49:54,399
Speaker 1: that just it's very upsetting to me, I don't guess.

955
00:49:54,480 --> 00:49:56,839
Speaker 2: But then there's ten percent of you that goes, yeah,

956
00:49:56,880 --> 00:49:58,280
Speaker 2: but I do want to see a willy mammon.

957
00:49:58,480 --> 00:50:00,560
Speaker 1: I mean I see one, and then that's it, and

958
00:50:00,640 --> 00:50:03,160
Speaker 1: then I don't want them in the world. Jurassic That's

959
00:50:03,200 --> 00:50:07,080
Speaker 1: what's That's the next thing, you know. The next thing

960
00:50:07,200 --> 00:50:09,680
Speaker 1: is like biohackers, you know, who are just going to

961
00:50:09,760 --> 00:50:12,520
Speaker 1: be like hacking your dog to make it like part

962
00:50:12,719 --> 00:50:15,240
Speaker 1: dinosaur and then like sending them off into the wild.

963
00:50:15,880 --> 00:50:19,200
Speaker 3: Yeah. Yeah, And just imagine if you're the first wooly mammoth,

964
00:50:19,719 --> 00:50:22,680
Speaker 3: Like how lonely is that? It's like kind of like, oh,

965
00:50:23,040 --> 00:50:28,840
Speaker 3: where's the where's my mom? Where's my where's anybody?

966
00:50:30,200 --> 00:50:32,640
Speaker 4: Where's anybody? Yeah? This isn't like snuffle up.

967
00:50:32,680 --> 00:50:34,880
Speaker 2: I guess where there's two grown men inside of it,

968
00:50:35,000 --> 00:50:37,399
Speaker 2: operating at the same time. And every time I see

969
00:50:37,400 --> 00:50:39,200
Speaker 2: snuffle up, I guess I can't think about the guy

970
00:50:39,239 --> 00:50:40,319
Speaker 2: who's in the back half of.

971
00:50:40,400 --> 00:50:44,040
Speaker 1: That, just holding on to the hips of the man

972
00:50:44,120 --> 00:50:44,799
Speaker 1: in front of him.

973
00:50:45,000 --> 00:50:45,239
Speaker 3: I know.

974
00:50:45,800 --> 00:50:47,440
Speaker 4: Great work, Gary, great.

975
00:50:47,280 --> 00:50:49,879
Speaker 3: Work bent over for hours of a time.

976
00:50:50,920 --> 00:50:54,560
Speaker 4: Yeah, oh god, who's doing the eyelash work on Snuffy?

977
00:50:56,800 --> 00:50:56,960
Speaker 3: Oh?

978
00:50:57,520 --> 00:51:01,040
Speaker 1: Mary, you have been such a wonderful guest.

979
00:51:01,120 --> 00:51:04,320
Speaker 3: Thank you so much, gosh ours, that was the fastest

980
00:51:04,400 --> 00:51:06,879
Speaker 3: hour in the history of ours. You guys, I'm good.

981
00:51:07,600 --> 00:51:07,799
Speaker 4: Good.

982
00:51:07,840 --> 00:51:10,680
Speaker 1: I'm happy that it didn't seem to drag Mary.

983
00:51:10,800 --> 00:51:13,239
Speaker 4: What is the closest major city to you or do

984
00:51:13,280 --> 00:51:14,360
Speaker 4: you live in a major city.

985
00:51:14,560 --> 00:51:15,840
Speaker 3: I'm in Oakland, California.

986
00:51:16,719 --> 00:51:17,720
Speaker 4: Oh you're close. Okay.

987
00:51:17,800 --> 00:51:19,439
Speaker 2: Well, if we ever do a show in the Bay

988
00:51:19,480 --> 00:51:21,640
Speaker 2: Area or Oakland, please either come on as a guest

989
00:51:21,760 --> 00:51:23,400
Speaker 2: or come hang out and say hey, we would be

990
00:51:23,520 --> 00:51:24,839
Speaker 2: thrilled to chat.

991
00:51:25,200 --> 00:51:26,560
Speaker 3: I would love that, you guys.

992
00:51:26,880 --> 00:51:31,000
Speaker 1: Absolutely, yeah, well, definitely we will definitely come to San Francisco.

993
00:51:31,360 --> 00:51:33,640
Speaker 3: Yes, please let me know, let me know, all right,

994
00:51:33,880 --> 00:51:34,759
Speaker 3: I want to come hang out.

995
00:51:34,840 --> 00:51:38,279
Speaker 1: Thank you so much. Everybody go read Fuzz, get it

996
00:51:38,440 --> 00:51:40,600
Speaker 1: right now, get it while it's top, before it hits

997
00:51:40,680 --> 00:51:43,160
Speaker 1: number one, and then listen.

998
00:51:43,239 --> 00:51:44,800
Speaker 4: You can't poser.

999
00:51:45,080 --> 00:51:46,839
Speaker 1: Yeah, thank you Mary.

1000
00:51:47,000 --> 00:51:49,759
Speaker 3: Oh, thanks you guys. You're hilarious. It was so fun.

1001
00:51:49,880 --> 00:51:50,480
Speaker 4: Thanks so much.

1002
00:51:50,840 --> 00:51:54,040
Speaker 3: All right, Hie.

1003
00:52:00,160 --> 00:52:02,800
Speaker 4: This has been an exactly right production.

1004
00:52:02,640 --> 00:52:04,919
Speaker 1: Produced and engineered by Katie Levine.

1005
00:52:04,800 --> 00:52:07,000
Speaker 4: The music by Kahan, and all of our.

1006
00:52:07,000 --> 00:52:08,640
Speaker 1: Artwork is done by Travis Millard.

1007
00:52:08,920 --> 00:52:11,600
Speaker 2: You can follow us on Instagram at the Bananas Podcast,

1008
00:52:11,640 --> 00:52:13,800
Speaker 2: where we post stories every day and things that we

1009
00:52:13,880 --> 00:52:15,280
Speaker 2: don't cover on the podcast.

1010
00:52:15,719 --> 00:52:18,920
Speaker 1: Listen, subscribe, and please leave us a review on Apple podcast,

1011
00:52:19,000 --> 00:52:20,880
Speaker 1: Stitcher or wherever you get your podcast.

1012
00:52:21,239 --> 00:52:24,280
Speaker 2: And if you're interested in advertising on bananas, please email

1013
00:52:24,400 --> 00:52:26,839
Speaker 2: us at the Bananas Podcast at gmail dot com.

1014
00:52:27,080 --> 00:52:30,160
Speaker 4: That's the Bananas Podcast at gmail dot com.