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Speaker 1: I don't know. I think that Christmas Crab could be

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Speaker 1: the next big thing. Yeah, I mean it's already the

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Speaker 1: big thing in my heart right now. I mean there's

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Speaker 1: the Christmas Island crabs and they all go crabbing around,

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Speaker 1: So why not Christmas Crab. I appreciate you're trying to

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Speaker 1: ground it in any kind of reality. I didn't need

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Speaker 1: that at all. You know, when we have all these

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Speaker 1: religions and we disagree on them sometimes, but I think

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Speaker 1: we could all agree on life. Like a gift crab. Yeah,

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Speaker 1: I mean, just imagining its claw, like, removing its hat

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Speaker 1: and salutation, that's all I need. Greetings, I am the

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Speaker 1: Christmas crab. Let me click at you. Yeah, you really

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Speaker 1: can snip gift wrapping really easily with a little claws.

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Speaker 1: My god, can you imagine the ribbon work a Christmas crab,

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Speaker 1: such like getting that that twirl that spiral spirals. Yeah yeah,

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Speaker 1: I tried to do that, and my body refuses to

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Speaker 1: learn how to do it. So thankfully the Christmas crab. Yeah,

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Speaker 1: I've been recording all of this. I might leave it.

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Speaker 1: I don't mind a stupid bit. Why not, why not?

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Speaker 1: Let's let's let's let's pretend um okay, and then in

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Speaker 1: shore music Now great, great, Welcome to Creature feature production

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Speaker 1: of I Heart Radio. I'm your host of Many Parasites,

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Speaker 1: Katie Golden. I studied psychology and evolutionary biology, and today

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Speaker 1: on the show Pick Your Poison. There are lots of

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Speaker 1: different things we know we should not put in our mouth,

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Speaker 1: like cyanide, parasites, a styrofoam coffee cup you got out

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Speaker 1: of the trash, But some animals have found a way

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Speaker 1: to expand their culinary tastes or even benefit from things

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Speaker 1: that would make a human restaurant shut down. In the

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Speaker 1: Chef's Built to Prison is cover this in more as

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Speaker 1: we answered the age old question why our scientists so

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Speaker 1: mean to larvae? Joining me today is writer, director, co

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Speaker 1: host of One Upsmanship on this here I Heart Radio Network,

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Speaker 1: and also friend of the pod, Adam Canzer. Friend. Yes,

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Speaker 1: thank you for having me so much. Yeah, friend is

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Speaker 1: my favorite of those types. Yeah, you know that's the

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Speaker 1: one friend excited about that? Joining Thank you, That's all

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Speaker 1: I needed. Yeah, and I'm thrilled a back. I love

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Speaker 1: that you picked this topic for me because you know,

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Speaker 1: look behind the curtain, Katie asked me, is there any

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Speaker 1: topic you'd like to explore, and I was like, how

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Speaker 1: could I ever suggest the topic that be better than

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Speaker 1: what you picked? This is so much better than anything

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Speaker 1: I could have thought of. So I'm so excited about it.

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Speaker 1: I love it. Today we are actually talking about animals

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Speaker 1: who do eat garbage, poison, and other things that should

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Speaker 1: not be good for them, but somehow they manage, which

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Speaker 1: I think is inspirational. H Yeah, I think that, especially

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Speaker 1: around this holiday season, there's a lot of like shaming around,

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Speaker 1: like oh, no, it's the holidays, I'm going to eat

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Speaker 1: a lot of garbage and then feel bad about it.

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Speaker 1: I feel like you should just commit if you're going

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Speaker 1: to eat something that's like no, I really shouldn't. It's like, no,

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Speaker 1: you know what, I should eat this? This is good. Yeah,

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Speaker 1: order that second Baja blast, put that in your body,

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Speaker 1: just go all the way. It's the holidays. Yeah, yeah exactly.

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Speaker 1: I mean, you know, unless you have some direct orders

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Speaker 1: from your doctor not to it's like, um, if you

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Speaker 1: it's like, oh, I'm eating pie, I should feel bad.

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Speaker 1: It's like no, you once you've committed to eating the pie,

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Speaker 1: um enjoy it. Yeah. The real doctor here is animals

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Speaker 1: and what they're doing. Yeah, let's listen to their prescription doctor.

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Speaker 1: Animals say, eat your own babies. Is that most of

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Speaker 1: what we're gonna be eating today? No? No, no, babies aren't.

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Speaker 1: Are But what are you saying at them? What? What

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Speaker 1: am I saying? You're right? Dare you? Absolutely? Dare you?

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Speaker 1: I'm no longer a friend? Unfriended? Um? No, So we're

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Speaker 1: actually first going to talk about cyanide cyanide um, it's

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Speaker 1: something you don't generally want to consume. That's what I've heard. Yeah,

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Speaker 1: that's that's that's what I know about it so far. Yeah.

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Speaker 1: It blocks your cells from being able to use oxygen

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Speaker 1: molecules by binding two enzymes and stop cell metabolism, which

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Speaker 1: is bad for the cell. It kills the cell. And

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Speaker 1: then also you Yeah, sounds bad. Doesn't sound good? It's bad?

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Speaker 1: But does it? Does it also taste amazing? Is that

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Speaker 1: something I'm gonna learn? It tastes Apparently it has a

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Speaker 1: slightly Wait? Is that arsenic? Is? Yeah? Is that arsenic

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Speaker 1: that has the almond smell? Or is it siani? I

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Speaker 1: don't know. I've heard, I know that factoid. I just

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Speaker 1: don't know which one is true, But I've heard that factor. Yeah,

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Speaker 1: I'm gonna google it. Um is it our cynic almond smell? Um?

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Speaker 1: I bet you cut this out, But if you don't,

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Speaker 1: I love that you typed all that in. No, no cyanide,

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Speaker 1: I know the FBI is now like ha ha I

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Speaker 1: got her. Um so no, No, it is cyanide that

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Speaker 1: has a slight sort of almondy smell. Uh. Not that

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Speaker 1: almonds are bad for you, but cyanide definitely is. So. Um. Yeah,

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Speaker 1: there are actually antidotes to cyanide poisoning. They're not foolproof,

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Speaker 1: so don't like, you know, try it as a prank.

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Speaker 1: But the way that the antidotes work is by being

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Speaker 1: able to bind to cyanide. And so by binding to cyanide,

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Speaker 1: they prevent the cyanide from binding to the enzymes that

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Speaker 1: facilitate the use of oxygen. So like our cells and stuff,

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Speaker 1: when you think about cellular biology, it's all kind of

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Speaker 1: like lock and key mechanisms are like little like puzzle

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Speaker 1: pieces fitting together. It's all these It's like a Rube

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Speaker 1: Goldberg machine happening inside your body. Um. And so when

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Speaker 1: you have something like cyanide, it like gunks up the

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Speaker 1: process attaches to something. It should not be attaching to

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Speaker 1: and then prevents it from using oxygen. And then so

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Speaker 1: this antidote basically like grabs onto the cyanide and it's like,

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Speaker 1: whoa there, buddy, Now you settle down, you're coming with me. So, uh,

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Speaker 1: it's a cyanide is bad generally for all animals. Um,

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Speaker 1: So how could any animal ever eat cyanide and be okay?

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Speaker 1: I guess the preliminary question is why would you want

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Speaker 1: to eat cyanide? It's not a thing anyone should you know?

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Speaker 1: Plan on? Right? It also is like why that can't

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Speaker 1: be the only food there is? Whoever is doing this? Yeah,

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Speaker 1: so that's another weird factor. So plants actually often use

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Speaker 1: toxins to protect themselves from being eaten by unwanted pests.

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Speaker 1: A common toxin used by plants is hydrogen cyanide. For

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Speaker 1: the record, hydrogen cyanide has also been used by humans

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Speaker 1: and chemical warfare during World War One and World War Two.

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Speaker 1: It's been involved in a lot of war crimes. It's

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Speaker 1: very extremely nasty stuff. Um. But if you want to

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Speaker 1: be able to have open access to like the world's

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Speaker 1: most dangerous salad bar where you get like no competition

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Speaker 1: from other animals, you would definitely want an immunity to

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Speaker 1: that plant toxin. And yeah, of course I'm using the

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Speaker 1: term want like in a non literal sense. What's really

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Speaker 1: happening is that any evolutionary like accident that allows an

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Speaker 1: organism to eat a plant protected by a toxin will

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Speaker 1: offer that animal huge advantage because now it has um

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Speaker 1: this like relatively uncompetitive like non competitive area niche where

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Speaker 1: it can like eat a plant that nothing else is

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Speaker 1: trying to eat, and then now it's healthy and can

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Speaker 1: pop out a bunch of offspring. So it's like it's

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Speaker 1: like the hometown buffet in Santa Monica. Dude, if you're

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Speaker 1: gonna eat there, you're the only one eating there. It's

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Speaker 1: Golden Corral. Um, Like what's like an off time? Like

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Speaker 1: when when would the senior citizens not go to Golden

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Speaker 1: Corral anytime after six pm? I guess so right? Like right, so, hey,

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Speaker 1: what could possibly and evolve an immunity to cyanide? Well,

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Speaker 1: adam of all the animals? What kind of family think

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Speaker 1: would do this kind of thing? Okay, so god, what

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Speaker 1: would it be? I don't like I wanted to be

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Speaker 1: like some kind of like angry re badger some kind

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Speaker 1: of really intense badger like it burrows underground, it eats cyanide.

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Speaker 1: It's the old Grandpa. It's the old Grandpa of rodents.

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Speaker 1: That's what I want. Yeah, in my day, we went up,

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Speaker 1: we walked up the hill both ways in the snow.

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Speaker 1: We ate cyanide, and we were grateful for it, and

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Speaker 1: we were grateful for it. Yeah. Um no, sadly not.

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Speaker 1: I wish that were the case as well. But as

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Speaker 1: is typical, the answer of what the hell is this

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Speaker 1: thing doing, it's arthur pods. Insects. Yeah, certain arthur pods,

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Speaker 1: including mites and the larva of certain species of butterflies

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Speaker 1: and moths, have developed an immunity to cyanide. Uh. In fact,

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Speaker 1: some insects, such as burnet moths, used the ingested cyanide

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Speaker 1: as a toxic defense against predators. So they've definitely, yeah,

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Speaker 1: they've they've taken this thing. They've made lemonade sign, they've

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Speaker 1: taken life. Game. Okay, life gave them cyanide, so they

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Speaker 1: made cyanide aid. Yep. Yeah, that's it's like it's like

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Speaker 1: they dressed themselves entirely grenades, just like give it your

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Speaker 1: best shot, broad Yeah. And the eather grenades, but they

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Speaker 1: can don't. Also another suggestion, helpful tip, don't do that either. Yeah,

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Speaker 1: that's if they haven't done it on Jackass, definitely don't

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Speaker 1: do it. Like, if they've done it on Jackass, don't

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Speaker 1: do it then either. But if they haven't done it, Yeah,

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Speaker 1: that's like the It's kind of like in a way,

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Speaker 1: Jackass teaches you safety, right because you just don't do

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Speaker 1: anyway anything they do or what they don't do. Yeah,

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Speaker 1: don't just stay away from Jackass. Stay away from it.

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Speaker 1: So how can they tolerate cyanide? Well, they have an

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Speaker 1: enzyme that converts deadly hydrogen cyanide into its non deadly form,

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Speaker 1: beta cyano alanine. I'm so glad you do this part

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Speaker 1: of the podcast. If I had to read one of

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Speaker 1: those if I had to read one of those names immediately,

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Speaker 1: I'd be shown the but I'd be shown the podcast

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Speaker 1: door and kicked out right there, exposed as someone who

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Speaker 1: doesn't know what happens when you convert hydrogen cyanide into

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Speaker 1: its non lethal form. That's right. They take my monocle

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Speaker 1: away immediately past confiscated. That's right. I think I felt.

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Speaker 1: I felt a little Sheldon E. When I said that

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Speaker 1: just now, and it felt not great. I liked it,

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Speaker 1: but but I liked it in a laughing at it way,

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Speaker 1: lapping at me. Yeah, well yeah, okay this time, that's fine,

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Speaker 1: that's okay. I'm cool with that. See I'm cool with that.

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Speaker 1: Um yeah. So interestingly, the gene that codes for this

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Speaker 1: cyanide detoxifying enzyme may not have originated in animals, so

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Speaker 1: it appears to have originated in bacteria. Well what the

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Speaker 1: heck is going on here? Well, it's just gonna be

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Speaker 1: like eating inception. Is this going to be like them?

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Speaker 1: Like the not the muss The butterflies eat the bacteria

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Speaker 1: which eats the cyanide, and like it keeps them all safe.

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Speaker 1: That sounds that sounds cool, But it's even weirder it

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Speaker 1: is that they actually have this DNA in their genetic code.

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Speaker 1: So like, this is a case of horizontal evolution. So

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Speaker 1: vertical evolution is what is what we're all used to.

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Speaker 1: It's you know, like your parents pops you out, gives

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Speaker 1: you some DNA and you know makes sense. Horizontal evolution

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Speaker 1: is when an organism has genes introduced it from something

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Speaker 1: like a virus or a bacterium um but it doesn't

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Speaker 1: come from the parent. It comes from another organism. So

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Speaker 1: like bacteria often have horizontal evolution shin, but animals this

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Speaker 1: is actually quite rare. For animals. We don't have a

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Speaker 1: lot of horizontal evolution because it requires some weird circumstances

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Speaker 1: like a virus, a viruses DNA or a bacteria's DNA

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Speaker 1: somehow getting introduced to a cell and then somehow that's

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Speaker 1: cell incorporating that into its own DNA. That does sounds

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Speaker 1: strange and like vampiric or something. It does, doesn't it.

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Speaker 1: It's it's a little, it's a little it's a little

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Speaker 1: wacky and strange. Um. But yeah, so the speculation based

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Speaker 1: on well, it's not quite speculation. There's there's some pretty

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Speaker 1: good science behind it where they have tracked back like

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Speaker 1: the origin of this uh this genetic code that allows

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Speaker 1: them to produce this enzyme two bacteria. Now they don't

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Speaker 1: know exactly how this horizontal like when and how like um,

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Speaker 1: under what circumstances this happened, but it's kind of interesting that, Yeah,

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Speaker 1: these arthropods have stolen this DNA from bacteria to be

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Speaker 1: able to um you know, basically eat cyanide and not die.

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Speaker 1: It sounds a little like like Fountain of Youthy or

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Speaker 1: something like they have like their own uncharted heist going

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Speaker 1: on here or something where the answer the arthropods got together,

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Speaker 1: like we've got to get this power. It's only stored

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Speaker 1: in this one bacteria. You go and they assemble a

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Speaker 1: team and there's a montage steal the bacteria. It's gonna

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Speaker 1: be oceans is going to cover this ground. Yes, that's right,

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Speaker 1: it's just going to the oceans are going to become

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Speaker 1: increasingly abstract, where at some point we're just going to

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Speaker 1: have sort of like lines stealing like the third dimension. Yeah,

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Speaker 1: that's right. Yes, that's exactly what it's going to be.

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Speaker 1: You're just basically watching like a math to storial, but

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Speaker 1: it's got that really cool score to it. And it

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Speaker 1: turns out that one of them was a line all

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Speaker 1: along or whatever. There's always a twist, so right, it's

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Speaker 1: like Ocean's fifty is going to be you in like

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Speaker 1: a sensory deprivation tank with flashes of light and you

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Speaker 1: imagine the movie and then you pay for that. That's

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Speaker 1: how it works. Yeah, that sounds like the ultimate heist, right,

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Speaker 1: it really does. You've been hiding. That's what they'll call it.

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Speaker 1: Ocean brainist. It's pretty good. Well, actually, when we come

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Speaker 1: right back, we are going to talk about a literal

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Speaker 1: brain highst Yes, really, how did you do this? Don't?

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Speaker 1: It's magic? It's magic, man. I brain heisted you. You've

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Speaker 1: been brain heisted. Seriously. I feel like I ate something

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Speaker 1: that tricked me. All right, and we're back, and as promised,

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Speaker 1: we're gonna talk about brain heist. Adam, have you ever

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Speaker 1: heard about T gandhi I or toxoplasmosis. I can't say

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Speaker 1: that one crossed my desk at any point that I recall.

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Speaker 1: You get the memo, probably, but it was thrown out

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Speaker 1: by my assistant who we're seeking to replace a CCED

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Speaker 1: B bcced cp C. Yeah, it got it, got it

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Speaker 1: got lost in the junk folder. Well. T GANDHIA or

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Speaker 1: toxoplasmosis is that thing where a rat gets infected with

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Speaker 1: this microscopic protozolan, and when that rat is infected, it

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Speaker 1: causes these brain lesions and alters hormone production, making them

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Speaker 1: fearless and possibly even attracted to cats. Because yeah, so

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Speaker 1: this suits the T gandhi I. Uh, Because the t GANDHIAI.

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Speaker 1: This little little protozoan reproduces only in the intestines of

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Speaker 1: cat species can be house cats or wildcats, and so

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Speaker 1: it will get Okay, this is a weird thing that

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Speaker 1: a lot of parasites end up doing, where like they

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Speaker 1: will disperse themselves by being eaten by one thing or

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Speaker 1: accidentally picked up by one thing, and then that thing

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Speaker 1: gets eaten by another thing, and now they're in the

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Speaker 1: place where like, hey, this is the singles bar where

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Speaker 1: we wanted to meet up and reproduce eight. It's the

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Speaker 1: wrong bar, so they met the wrong Is that is

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Speaker 1: that the it's actually it's like, so the rat is

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Speaker 1: like the uber that they take to get to the

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Speaker 1: singles bar, which is the cat and testines. But when

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Speaker 1: the uber parks, it's parking inside the club because it

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Speaker 1: just got eaten by the cat. Yeah, I for clarity,

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Speaker 1: rat accidentally in just t gandhia I, T GANDHIAI does

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Speaker 1: a brain heist takes over rat. Brain makes a rat

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Speaker 1: go like, oh kitty cute, I love it goes up

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Speaker 1: to the cat rackets eaten by the cat. Cat is

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Speaker 1: like great, this is a weirdo, but I'll eat it

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Speaker 1: cat now infest infected with t gandhia I. T gandhia I,

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Speaker 1: you know, maids and reproduces inside the cat and test

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Speaker 1: and cat poops. Nati gandhia I is out there again,

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Speaker 1: ready to infect another rat. How do we know that?

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Speaker 1: I mean, I know there's an actual answer, and this

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Speaker 1: is half bit. How do we know everything that likes

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Speaker 1: cats doesn't have this virus? Right like? Right, like that

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Speaker 1: is a sorcery, that is biological sorcery. I mean, that's

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Speaker 1: like there have been sort of jokes about that where

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Speaker 1: it's like, oh, maybe humans who are infected with t

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Speaker 1: gandhia I like like cats. Um, but the there is

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Speaker 1: a truth to that, which is kind of weird. Uh.

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Speaker 1: There have been no conclusive studies that I've seen about

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Speaker 1: humans liking cats because they're infected with ti gandhia I.

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Speaker 1: Think we like cats just because they're adorable little murderers,

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Speaker 1: and we love like true crime, and we love to

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Speaker 1: pet soft things. So true crime plus like a soft

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Speaker 1: thing is a cat. That's right, that's the math, that's

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Speaker 1: the math. So uh yeah, So so ti gania We

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Speaker 1: have talked about t GANDHIAI on the show before, but

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Speaker 1: I got some cool updates aunti gandhia um. Uh. So,

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Speaker 1: first of all, it's not just rats that Ti gandhia

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Speaker 1: i can have an effect on In terms of behavior.

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Speaker 1: Um chimpanzee is infected with Ti gandhia I have been

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Speaker 1: observed to be attracted to leopard urine um, meaning they're like,

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Speaker 1: this smells great. I like leopards sounds cool. And then leopards,

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Speaker 1: uh by the way, just small detail, they love to

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Speaker 1: eat chimpanzees. So not a great idea for a chimpanzee

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Speaker 1: to like be attracted to the smell of a leopard.

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Speaker 1: But again, the Ti ghandi it gets in the chimpanzee's brain,

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Speaker 1: probably like the ideas that they cause some like cysts

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Speaker 1: or brain lesions that alters the hormone production and then

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Speaker 1: does a weird thing where the chimpanzee goes from like

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Speaker 1: being afraid of the cappy to like being kind of

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Speaker 1: into it, like being like, hey, this seems cool. This

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Speaker 1: is terrifying. Yes, this is this is an abjectly terrifying thing, right, yeah,

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Speaker 1: Just imagining the Chimpanzee council trying to diagnose thiss, like

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Speaker 1: why do we keep having you know, why did Todd

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Speaker 1: go over there and fall in love with the jaguar

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Speaker 1: or whatever? Doctor animals, what's the answer, Well, did you

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Speaker 1: try eating cyanide or your own babies? Then I'm out

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Speaker 1: of ideas. Not very helpful, doctor animals, But boy does

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Speaker 1: he get the job done. Yeah. And also, hyena cubs

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Speaker 1: who have been infected with t gandhi I may lose

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Speaker 1: their fear of lions and may be more likely to

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Speaker 1: stroll up to a line. So observational studies have found

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Speaker 1: that hyena cubs that are infected with Ti gandhia I

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Speaker 1: approach approach lines more more often. This is incredible, Like

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Speaker 1: it's so weird that that would work, right, It's bizarre

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Speaker 1: where it's like yeah, like this protozoan is like well

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Speaker 1: I need to be Like it's so choosy too and

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Speaker 1: like spoiled. It's like I need to be in a

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Speaker 1: cat and testine and nothing else will do. And then

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Speaker 1: it makes sure that this poor animal it's infected is

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Speaker 1: like suddenly like okay, I will wander up to this cat.

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Speaker 1: Oh wow, hello, kitty, you're very large. I guess you're

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Speaker 1: going to eat me. Oh well, like so this is

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Speaker 1: obviously a dumb question, But are they sure that those

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Speaker 1: that this this is a protozoa, that this protozoan wouldn't

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Speaker 1: put in any creature, wouldn't make it attracted to its

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Speaker 1: corresponding cat, Gennie. I just don't. Yeah, it's it's weird

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Speaker 1: because it's not necessarily I don't think it's not that

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Speaker 1: they have disproved that they're not sure that doesn't happen.

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Speaker 1: I just don't think they've found evidence that every animal

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Speaker 1: is attracted to cats after being after being infected with

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Speaker 1: t GANDHIA. So they wouldn't test that, Like, they wouldn't

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Speaker 1: take it and injected into a hip and see, let's

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Speaker 1: see if it likes leopards. Now, No, they definitely wouldn't

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Speaker 1: do that. That'd be that'd be monstrous. Who would suggest it,

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Speaker 1: right exactly? Who? Who? Indeed? Um? I mean later in

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Speaker 1: the show we are going to talk about researchers doing

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Speaker 1: messed up things, but they anyways, I was I was

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Speaker 1: waiting for that. Yeah, it'll it'll be fun. I have

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Speaker 1: immense respect for biology researchers, and yet again, once again,

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Speaker 1: I would like to remind people that biology researchers can't

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Speaker 1: it's like it's so good that they like biology and

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Speaker 1: not murder because like the right, like the fiendish brains

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Speaker 1: of the they're doing stuff for good mostly. Um so anyways, Uh,

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Speaker 1: what a terrifying description of your job. It's mostly good

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Speaker 1: what they're doing, thank god the times. Most of the times,

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Speaker 1: I think ethnically, okay, yeah, that would be that would

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Speaker 1: be a tough job to navigate emotionally, I think, you know,

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Speaker 1: it's got to be a lot of for the greater good. Yeah, yeah,

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Speaker 1: for sure. Uh yeah, Like I want when I was

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Speaker 1: in college, I like took care of some um contop

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Speaker 1: tamarins that were involved in behavioral studies. And even though

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Speaker 1: these were noninvasive studies, meaning they weren't like uh there

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Speaker 1: was no surgery, the animals weren't killed or physically harmed

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Speaker 1: any anyways, it was still like uncomfortable because it's like,

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Speaker 1: as much as I enjoyed taking care of them, it's

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Speaker 1: like they should be in the wild. This feels wrong,

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Speaker 1: and like I'm not gonna like name any names, but

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Speaker 1: like I do feel like in that specific instance, I

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Speaker 1: don't think the research really justified having these captive animals

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Speaker 1: in my you know, take it as it's worth opinion,

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Speaker 1: So uh yeah, but a lot compared to mine. You

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Speaker 1: don't you don't even brain heist me, so um so

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Speaker 1: speaking brainhist uh More, research has come out about tea

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Speaker 1: gandhia and its effects on other animals, and surprisingly it

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Speaker 1: may not always lead to death by kitty kat and

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Speaker 1: in fact can lead to positive results seemingly, which is

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Speaker 1: very interesting. So wolves who are infected with T gandhia

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Speaker 1: I may get a confidence boost that enables them to

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Speaker 1: start their own packs and venture out into the world.

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Speaker 1: I was gonna say this, the the effect of this

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Speaker 1: brain heist really does feel similar to the effect of

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Speaker 1: one too many beers, where you think maybe I could

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Speaker 1: maybe I could hit on that person on the other

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Speaker 1: side of the bar, right, only usually that person is

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Speaker 1: a cat and I'm a rat. In this metaphor, for me,

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Speaker 1: alcohol enables me to do worse and worse bits and

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Speaker 1: thinking they're good and committing the bits that I really

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Speaker 1: shouldn't be. Like. I remember once at college, my my

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Speaker 1: darkest moment was when I had a few many two,

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Speaker 1: few many two beers, like right now, you know, a

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Speaker 1: few too many beers, and I was like sitting on

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Speaker 1: some girls sweater and she's like, oh, excuse me, you're

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Speaker 1: sitting on my sweater. I'm like, keep no warm for it,

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Speaker 1: and she gave me a look of utter disgust. It's like, well,

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Speaker 1: you know, you're like no. The math adds up to

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Speaker 1: that was funny, lady. Yeah, And I was right and

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Speaker 1: she was wrong. Probably was warm and it was winter,

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Speaker 1: so what the hell? Yeah, I can remember. I can

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Speaker 1: remember a distinct moment when one too many beers made

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Speaker 1: me stop remembering that waitresses are never flirting with you.

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Speaker 1: I mean, there's like one beer where I was like,

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Speaker 1: maybe she really is flirting. Yeah, like hey, sugar, and

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Speaker 1: it's like I'm your sugar. I'm your sugar. It's real.

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Speaker 1: And then my friend my friends thought that was hilarious

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Speaker 1: that like I started like, maybe I think she's really

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Speaker 1: He thought that was very funny. She called men, I

401
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Speaker 1: think she's into me. That's right, that's I got brain heisted.

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Speaker 1: She asked me how my meal is. She cares about me.

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Speaker 1: She's got to be into me. Now. Was this waitress

404
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Speaker 1: a giant jaguar or could have been? Could have been she?

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Speaker 1: Because she was merciful that day. She waved me away

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Speaker 1: as soon as I was like one quick personal question,

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Speaker 1: no thanks, it was like relieve out. Well, so, so

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00:27:01,920 --> 00:27:04,760
Speaker 1: wolves do kind of get the the one too many

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Speaker 1: beer like confidence boost from the US t GANDHIA apparently.

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Speaker 1: So before we proceed, I think it's important to uh

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Speaker 1: talk a little bit about wolf packs. So a lot

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Speaker 1: of the info on wolf pack behavior is outdated because

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Speaker 1: like that stuff about like alpha dominance um was based

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Speaker 1: on research done on captive wolves. Uh. And captive wolves,

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Speaker 1: like a lot of captive animals, their behavior is very

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Speaker 1: different from wild wolves. Uh. Captive wolves, like they may

417
00:27:39,359 --> 00:27:43,199
Speaker 1: be housed with a bunch of unrelated wolves. Usually they

418
00:27:43,240 --> 00:27:47,120
Speaker 1: have less space, and so this tends to lead to conflicts.

419
00:27:47,240 --> 00:27:49,639
Speaker 1: So like smaller spaces mean there's going to be more

420
00:27:49,680 --> 00:27:52,800
Speaker 1: aggression because often in the wild, if you have some

421
00:27:52,920 --> 00:27:57,720
Speaker 1: kind of conflict, the favored way to avoid that is

422
00:27:57,760 --> 00:28:01,760
Speaker 1: to give each other space. Uh. Um. So like uh

423
00:28:01,800 --> 00:28:06,439
Speaker 1: you know, and so like the researchers may have accurately

424
00:28:06,480 --> 00:28:10,000
Speaker 1: observed these captive wolves, but it in no way kind

425
00:28:10,000 --> 00:28:13,840
Speaker 1: of reflected the behavior of wild wolves. So wild wolf

426
00:28:13,840 --> 00:28:19,080
Speaker 1: packs are more like a family. Um so uh instead

427
00:28:19,080 --> 00:28:23,200
Speaker 1: of this like thing of like alpha's dominate beta's as

428
00:28:23,280 --> 00:28:26,680
Speaker 1: much as pick up artists would like this to be true. Uh,

429
00:28:26,880 --> 00:28:31,119
Speaker 1: A pack structure for wolves is like there's parents and

430
00:28:31,119 --> 00:28:33,159
Speaker 1: then a bunch of kids, and the parents kind of

431
00:28:33,240 --> 00:28:36,760
Speaker 1: laid down the law for the kids. Um. So you

432
00:28:36,840 --> 00:28:40,560
Speaker 1: have an alpha breeding pair, which is like typically the

433
00:28:40,640 --> 00:28:44,160
Speaker 1: mother and the father of the rest of the pack. Uh.

434
00:28:44,240 --> 00:28:47,960
Speaker 1: Sometimes there are unrelated wolves who will like join the

435
00:28:48,040 --> 00:28:51,480
Speaker 1: pack if they are accepted. So it's basically like a

436
00:28:51,600 --> 00:28:55,959
Speaker 1: big Thanksgiving with a bunch of siblings and then maybe

437
00:28:56,080 --> 00:29:00,520
Speaker 1: some like family friends that tag along. Um, and then

438
00:29:00,640 --> 00:29:04,640
Speaker 1: like the mother and father wolf are sort of enforcing

439
00:29:04,720 --> 00:29:07,560
Speaker 1: rules about like who gets to eat first, and like hey,

440
00:29:07,560 --> 00:29:09,840
Speaker 1: sit down, mind your table manners, that kind of thing.

441
00:29:10,520 --> 00:29:16,320
Speaker 1: Don't bring up this topic. It pisses off your uncle everything. Yeah, yeah,

442
00:29:16,360 --> 00:29:18,840
Speaker 1: don't remind him of that time he got his pasta

443
00:29:19,160 --> 00:29:23,400
Speaker 1: and a wolf trap. You know he's aware. Yeah, he

444
00:29:23,520 --> 00:29:29,040
Speaker 1: likes to talk about it. Yeah, so gone. So yeah,

445
00:29:29,080 --> 00:29:32,560
Speaker 1: overall these are like kind of family dynamics. Um. There

446
00:29:32,640 --> 00:29:35,680
Speaker 1: there is something of there is like a hierarchical structure,

447
00:29:36,280 --> 00:29:39,160
Speaker 1: but it's much less this thing of like well the

448
00:29:39,200 --> 00:29:43,239
Speaker 1: alf the wolves like dominate the lessers and like you know,

449
00:29:43,320 --> 00:29:46,400
Speaker 1: bully them into submission, and more like you know, mom

450
00:29:46,400 --> 00:29:50,760
Speaker 1: and dad sort of get mad at you. So like

451
00:29:50,920 --> 00:29:55,920
Speaker 1: that analogy suggests there's something a little more nurturing about

452
00:29:55,960 --> 00:29:58,400
Speaker 1: that environment. Is that? Am I wrong in thinking that

453
00:29:59,080 --> 00:30:01,320
Speaker 1: that's that's what you want? Okay? Great, No, that you're

454
00:30:01,360 --> 00:30:05,520
Speaker 1: not wrong. I mean, it's obviously more complicated than like

455
00:30:05,720 --> 00:30:09,000
Speaker 1: say or it's a it's different from say like family

456
00:30:09,040 --> 00:30:13,120
Speaker 1: relations with humans, like typically we don't bite our offspring,

457
00:30:13,760 --> 00:30:18,160
Speaker 1: um typically when we're mad at them. But you know,

458
00:30:18,560 --> 00:30:22,160
Speaker 1: it's you know, like I would say, so the offspring

459
00:30:22,480 --> 00:30:26,400
Speaker 1: gain an advantage by being in this group, even if

460
00:30:26,480 --> 00:30:28,480
Speaker 1: like some of the rules seem kind of like unfair,

461
00:30:28,560 --> 00:30:30,840
Speaker 1: like the alpha you know sometimes like the alphas will

462
00:30:31,080 --> 00:30:33,720
Speaker 1: get the best choice of the meat or something. But

463
00:30:33,760 --> 00:30:37,320
Speaker 1: like they also are teaching their offspring how to hunt.

464
00:30:37,840 --> 00:30:41,480
Speaker 1: They are working together to bring down larger prey than

465
00:30:41,520 --> 00:30:45,440
Speaker 1: any of them could bring down individuals. So you know,

466
00:30:45,600 --> 00:30:48,720
Speaker 1: it is and so it is more of a like

467
00:30:50,160 --> 00:30:55,280
Speaker 1: cooperative dynamic than just this sort of bully kind of

468
00:30:55,520 --> 00:31:00,240
Speaker 1: ordering every Yeah, yeah, like I've enthralled you right exactly, Gale.

469
00:31:00,720 --> 00:31:04,600
Speaker 1: So so that that's a good background to know because

470
00:31:04,680 --> 00:31:07,240
Speaker 1: we're going to talk about wolves like being more confident

471
00:31:07,640 --> 00:31:10,360
Speaker 1: and being able to go off and start their own pack.

472
00:31:10,880 --> 00:31:13,920
Speaker 1: You know, it's more like a wolf going off starting

473
00:31:13,960 --> 00:31:18,160
Speaker 1: its own family. It's not so much the classic view

474
00:31:18,240 --> 00:31:22,520
Speaker 1: of wolves. Uh, how we learned from captive wolves, which

475
00:31:22,560 --> 00:31:25,880
Speaker 1: doesn't really represent them. I'm taking my mental image out

476
00:31:25,880 --> 00:31:28,320
Speaker 1: of the frat house and into the suburbs. I totally

477
00:31:28,400 --> 00:31:31,600
Speaker 1: get it. In some ways, the suburbs are far more

478
00:31:31,680 --> 00:31:35,800
Speaker 1: vicious than the frat house. So uh, no doubt. So

479
00:31:36,120 --> 00:31:39,080
Speaker 1: the research there is this research study that looked at

480
00:31:39,160 --> 00:31:43,640
Speaker 1: blood samples from wolves and yellowstone, and they found that

481
00:31:44,000 --> 00:31:47,600
Speaker 1: wolves infected with t GANDHII were far more likely to

482
00:31:47,800 --> 00:31:52,160
Speaker 1: disperse uh far from their home range and more likely

483
00:31:52,240 --> 00:31:57,560
Speaker 1: to become leaders of their own packs. So what can

484
00:31:57,600 --> 00:32:00,600
Speaker 1: we like infer from this, right? Because it's tricky, like

485
00:32:00,640 --> 00:32:05,200
Speaker 1: when you find an effect or correlation, like it's really

486
00:32:05,280 --> 00:32:09,440
Speaker 1: difficult to kind of establish causality, like is the uh

487
00:32:09,680 --> 00:32:14,400
Speaker 1: is the parasite causing this boosting confidence? Are more confident

488
00:32:14,440 --> 00:32:19,160
Speaker 1: animals more likely to be infected with this parasite? So? Um?

489
00:32:19,200 --> 00:32:23,800
Speaker 1: I looked into the study and uh, it seems like

490
00:32:23,960 --> 00:32:26,480
Speaker 1: they did do a pretty good job in trying to

491
00:32:26,840 --> 00:32:29,560
Speaker 1: adjust for a lot of factors, so like UH. In

492
00:32:29,600 --> 00:32:33,400
Speaker 1: the study parasitic infection increases risk taking in a social

493
00:32:33,840 --> 00:32:39,120
Speaker 1: intermediate host carnivore published in Nature, UH, the authors try

494
00:32:39,360 --> 00:32:43,000
Speaker 1: to control for a multiple number of factors, so like

495
00:32:43,120 --> 00:32:49,000
Speaker 1: they would see how t GANDHAI infections are influenced by sex, age,

496
00:32:49,480 --> 00:32:54,640
Speaker 1: proximity to cougar populations, and they controlled for these factors

497
00:32:54,680 --> 00:32:59,120
Speaker 1: in their analysis. They also like monitored wolves over a

498
00:32:59,200 --> 00:33:02,960
Speaker 1: number of months to try to establish causality of infection

499
00:33:03,000 --> 00:33:05,360
Speaker 1: on behavior, so like they would see, like at what

500
00:33:05,480 --> 00:33:08,840
Speaker 1: point they're like infected, and then in the following months,

501
00:33:08,880 --> 00:33:11,920
Speaker 1: how likely they were to like disperse or join their

502
00:33:11,960 --> 00:33:15,880
Speaker 1: own uh start their own packs. So it's like they

503
00:33:16,160 --> 00:33:17,800
Speaker 1: it's like they went to like a Ted talk for

504
00:33:17,960 --> 00:33:22,200
Speaker 1: entrepreneurship or something, so the viruses like, you can do it.

505
00:33:22,400 --> 00:33:24,080
Speaker 1: They're like, you know what, I'm gonna start my own pack.

506
00:33:24,320 --> 00:33:26,680
Speaker 1: You know, I've always been saying. You know what's funny

507
00:33:26,800 --> 00:33:31,400
Speaker 1: is there is some research on humans um that seem

508
00:33:31,840 --> 00:33:39,760
Speaker 1: to suggest that maybe t gandhi I produces more entrepreneurs Uh.

509
00:33:39,880 --> 00:33:43,320
Speaker 1: I'm fantastic. I am a little okay, so full disclosure,

510
00:33:43,320 --> 00:33:46,160
Speaker 1: I'm a little skeptical of this. I think that it's

511
00:33:46,200 --> 00:33:49,400
Speaker 1: a really interesting idea and I think we should do

512
00:33:49,440 --> 00:33:52,320
Speaker 1: more research on it. But I think it's a study

513
00:33:52,440 --> 00:33:57,040
Speaker 1: that we need to do more follow up on. So like, basically,

514
00:33:57,360 --> 00:34:00,920
Speaker 1: students who were infected with our tested positive for having

515
00:34:00,920 --> 00:34:03,440
Speaker 1: like a team GANDHIAI were one and a half times

516
00:34:03,440 --> 00:34:09,279
Speaker 1: more likely to major in business. So again I think

517
00:34:09,800 --> 00:34:12,080
Speaker 1: remember like the problems that I talked about with the

518
00:34:12,080 --> 00:34:16,200
Speaker 1: Wolf study that they seem to uh control for it's

519
00:34:16,239 --> 00:34:18,719
Speaker 1: a lot It's very hard to do when you're doing

520
00:34:18,760 --> 00:34:22,200
Speaker 1: an observational study where you have a lot of different

521
00:34:22,239 --> 00:34:25,680
Speaker 1: kind of human behaviors. So like, um, the study authors

522
00:34:25,719 --> 00:34:28,840
Speaker 1: admit this is just correlational. They weren't able to establish

523
00:34:28,880 --> 00:34:34,240
Speaker 1: causality because like, for instance, maybe students who are more

524
00:34:34,280 --> 00:34:37,880
Speaker 1: bold or you know in some kind of like social

525
00:34:38,160 --> 00:34:42,399
Speaker 1: class to uh interact more with cats, or maybe like

526
00:34:42,840 --> 00:34:45,839
Speaker 1: eat more like undercooked meat or something like they eat

527
00:34:45,840 --> 00:34:48,759
Speaker 1: more meat in general, so they are more likely to

528
00:34:48,760 --> 00:34:51,560
Speaker 1: get infected with te GANDHIA because they eat steak a

529
00:34:51,560 --> 00:34:55,240
Speaker 1: lot or something. Uh, And maybe they're also more likely

530
00:34:55,280 --> 00:34:58,600
Speaker 1: to be business school students. Uh. And so you know,

531
00:34:58,640 --> 00:35:00,480
Speaker 1: it's like it could be of behavior A will ask

532
00:35:00,719 --> 00:35:04,000
Speaker 1: a different behavior that both makes them more likely to

533
00:35:04,040 --> 00:35:06,680
Speaker 1: contract the virus because like hey, maybe they hang out

534
00:35:06,719 --> 00:35:10,080
Speaker 1: with cats more or eat more meat or whatever, um,

535
00:35:10,120 --> 00:35:13,440
Speaker 1: but also that makes them more likely to be business

536
00:35:13,480 --> 00:35:16,840
Speaker 1: school students. So I mean, I just want to know

537
00:35:16,880 --> 00:35:19,480
Speaker 1: how many of them have attended a masterclass, you know.

538
00:35:19,480 --> 00:35:21,120
Speaker 1: I mean, like there's just certain ways that I'd like

539
00:35:21,200 --> 00:35:24,400
Speaker 1: this test to go. How many of them are, like

540
00:35:24,520 --> 00:35:28,239
Speaker 1: ordering specialty drinks at Starbucks? I want I want to

541
00:35:28,760 --> 00:35:32,040
Speaker 1: long term study on te gandhia I on whether people

542
00:35:32,200 --> 00:35:37,000
Speaker 1: invest in crypto. Oh please could be please, thank you?

543
00:35:37,120 --> 00:35:39,600
Speaker 1: That's all I want. Do they were they in early

544
00:35:39,640 --> 00:35:43,680
Speaker 1: on n f T s test those people exactly right?

545
00:35:43,800 --> 00:35:45,839
Speaker 1: And so like whether or not you think these are

546
00:35:46,040 --> 00:35:50,160
Speaker 1: confident in bold behaviors or maybe stupid behaviors, because like hey,

547
00:35:50,200 --> 00:35:53,239
Speaker 1: like when the wolf starts its own pack, We're like, hey,

548
00:35:53,239 --> 00:35:55,919
Speaker 1: that's a confident wolf. But when a rat gets eaten

549
00:35:55,960 --> 00:35:58,879
Speaker 1: by a cat, were like, that's a stupid rat. That's

550
00:35:58,880 --> 00:36:01,680
Speaker 1: a dumb rat. And when a when a your friend

551
00:36:01,880 --> 00:36:05,080
Speaker 1: forwards you an email about ethereum, that's a that's been

552
00:36:05,120 --> 00:36:07,319
Speaker 1: a brain high strain. I was speaking with did you

553
00:36:07,360 --> 00:36:10,800
Speaker 1: see my blank Club of Coffee c C C C

554
00:36:11,120 --> 00:36:14,719
Speaker 1: C C. I was gently I was gently bringing it

555
00:36:14,800 --> 00:36:18,040
Speaker 1: up with a wink. And you did not acknowledge that win. Creature,

556
00:36:18,200 --> 00:36:25,800
Speaker 1: creature cash, creature cash, creature use how it works. And

557
00:36:25,880 --> 00:36:30,400
Speaker 1: it's got a little smiling protozoa. Yeah, as it's icon. Yeah,

558
00:36:30,480 --> 00:36:35,640
Speaker 1: and it's like it's like this, you infect two, five,

559
00:36:35,880 --> 00:36:40,640
Speaker 1: ten of your friends with creature cache and then creature

560
00:36:40,760 --> 00:36:43,920
Speaker 1: case and it goes upstream. You got your downstreams, you

561
00:36:44,000 --> 00:36:50,040
Speaker 1: got your stream. It floats upstream, loads upstream. We all win,

562
00:36:50,360 --> 00:36:55,359
Speaker 1: except for you, but mostly me. It's swimming up river

563
00:36:55,520 --> 00:36:59,200
Speaker 1: into fortune. Yeah. I don't know what kind of being

564
00:36:59,239 --> 00:37:05,640
Speaker 1: we're creating. Investing Creek, give me five dollars for your

565
00:37:05,640 --> 00:37:13,319
Speaker 1: own slice of creature. I'm gonna I'm gonna do it.

566
00:37:13,440 --> 00:37:16,040
Speaker 1: I'm gonna do it, and I'm gonna go bankrupt and

567
00:37:16,040 --> 00:37:19,759
Speaker 1: then get my own. Like, what is it? Where where

568
00:37:19,840 --> 00:37:25,120
Speaker 1: is that guy? Felony? I believe it's called Peakman Fried. No, No,

569
00:37:25,280 --> 00:37:29,200
Speaker 1: he's he's like in where is it? He's in some

570
00:37:29,440 --> 00:37:34,839
Speaker 1: kind of like resort now hiding out right. Yes, he's

571
00:37:35,080 --> 00:37:39,239
Speaker 1: he's in a minimum security beach prison, a minimum security

572
00:37:39,360 --> 00:37:45,040
Speaker 1: resort he's got a couple of years of vacation to do.

573
00:37:45,280 --> 00:37:51,680
Speaker 1: Let's test Let's test Baker Big Bakerman Fried Bank Bankman Fried.

574
00:37:52,280 --> 00:37:55,279
Speaker 1: Let's test him for Tea Gandhi. I. He might have it.

575
00:37:55,760 --> 00:37:59,719
Speaker 1: He could get the tea GANDHIAI defense. I had to

576
00:37:59,719 --> 00:38:03,680
Speaker 1: differ of these people. I was inspected. I got the

577
00:38:03,800 --> 00:38:18,840
Speaker 1: bad germs. That's why I was so excited about And

578
00:38:19,680 --> 00:38:24,399
Speaker 1: I promised, you creepy scientists, and we're going to get

579
00:38:24,400 --> 00:38:27,480
Speaker 1: into it now. Thank you. That's all I've been asking for.

580
00:38:27,719 --> 00:38:31,680
Speaker 1: I know, he's like, please tell me about science atrocities,

581
00:38:31,960 --> 00:38:36,880
Speaker 1: and I deliver. Name the trash scientists I'd like to

582
00:38:36,880 --> 00:38:47,759
Speaker 1: hear about. It's not delivery, it's dig golden, it's um.

583
00:38:47,840 --> 00:38:50,680
Speaker 1: So yeah, let's talk about eating garbage. Uh, and of

584
00:38:50,719 --> 00:38:54,080
Speaker 1: course I'm not talking about junk food, which is decidedly

585
00:38:54,120 --> 00:38:58,439
Speaker 1: not garbage. Have you tasted it? It's good, That's all

586
00:38:58,480 --> 00:39:03,319
Speaker 1: I've tasted. I thought this podcast was a gentle rebuke. No, no,

587
00:39:04,040 --> 00:39:06,919
Speaker 1: you know what, like, yeah, it's unhealthy, but I feel

588
00:39:06,960 --> 00:39:09,400
Speaker 1: like once you've committed to a bag of chips, you

589
00:39:09,480 --> 00:39:13,120
Speaker 1: got to enjoy it, you know what. Yes, I'm doing

590
00:39:13,120 --> 00:39:17,080
Speaker 1: full hallopenio Supreme Cheetos right after this, just a full

591
00:39:17,160 --> 00:39:19,839
Speaker 1: bag of those the Hallopenia ones, you know, the green

592
00:39:19,880 --> 00:39:24,400
Speaker 1: ones we called Hallopenia Supreme. No, I think that title.

593
00:39:24,560 --> 00:39:26,920
Speaker 1: I forgot what they're called Halloween. I want to say blast,

594
00:39:26,960 --> 00:39:30,959
Speaker 1: but I know that's not right. You gave it that. Yeah,

595
00:39:31,000 --> 00:39:34,680
Speaker 1: well it deserves to be called that Halloween is Hollopeni Supreme.

596
00:39:35,640 --> 00:39:39,440
Speaker 1: That's right. Give that thing a top hatne monocle. Right,

597
00:39:40,080 --> 00:39:44,319
Speaker 1: but that's the peanutsman. Well, I feel like he's the

598
00:39:44,320 --> 00:39:47,319
Speaker 1: most important of the snack creatures. Mr Cheeto is the

599
00:39:47,400 --> 00:39:52,759
Speaker 1: cheetah right, Chester Chester Chter. He's got sunglasses, and I

600
00:39:52,840 --> 00:39:56,840
Speaker 1: guess the implication is he's orange, just like the Cheetos,

601
00:39:56,920 --> 00:39:59,480
Speaker 1: because I think that's right. It's it's like his dust.

602
00:39:59,640 --> 00:40:03,480
Speaker 1: He's like literally dusted all of those chips, like those

603
00:40:03,480 --> 00:40:09,040
Speaker 1: little puffs special Cheetah dust. His dandruff, they like his

604
00:40:09,200 --> 00:40:12,480
Speaker 1: dandruff is the powder on the Cheetos. Do you ever

605
00:40:12,560 --> 00:40:14,840
Speaker 1: notice how much more you let cats after eat Cheetahs.

606
00:40:15,600 --> 00:40:20,720
Speaker 1: It's yeah, it's infected with cheese, gandhya. It ain't easy

607
00:40:20,760 --> 00:40:27,160
Speaker 1: being cheesy, that's right. It's a hard life for him anyways. Uh,

608
00:40:27,600 --> 00:40:32,080
Speaker 1: that aside I'm talking about actual trash can garbage, like

609
00:40:32,239 --> 00:40:38,439
Speaker 1: indigestible garbage. Um, like one of the least appetizing things. Well,

610
00:40:38,800 --> 00:40:41,239
Speaker 1: I guess there's a lot of unappetizing things I can

611
00:40:41,280 --> 00:40:43,480
Speaker 1: creatively think of that come out of a garbage can,

612
00:40:44,040 --> 00:40:47,520
Speaker 1: but um, like a styrofoam cup. I don't even like

613
00:40:48,239 --> 00:40:55,120
Speaker 1: using styrofoam as cutlery or cuppery. I hate the feel

614
00:40:55,239 --> 00:40:58,680
Speaker 1: of styrofoam, like that squeaking sound. Yeah, and do you

615
00:40:58,680 --> 00:41:03,200
Speaker 1: feel bad now? Oh yeah. It's like, man, this is

616
00:41:03,239 --> 00:41:06,040
Speaker 1: this is gonna last like two thousand years. Yeah. Yeah,

617
00:41:06,080 --> 00:41:11,600
Speaker 1: it's like we're converting all of the planet into pure styrofoam.

618
00:41:10,480 --> 00:41:14,840
Speaker 1: M that's all that will be left. But on a

619
00:41:14,880 --> 00:41:18,040
Speaker 1: more personal note is that I just don't like the

620
00:41:18,080 --> 00:41:21,319
Speaker 1: mouth feel. I don't like the squeakiness of it, Like

621
00:41:21,480 --> 00:41:26,640
Speaker 1: the two styrofoam things squeaking against each other. Uh it

622
00:41:26,880 --> 00:41:30,120
Speaker 1: hurts um my soul. I don't know. It's like I

623
00:41:30,200 --> 00:41:33,359
Speaker 1: literally have this like reaction, this shuddering reaction to it.

624
00:41:33,400 --> 00:41:37,040
Speaker 1: Is that that's certainly not me, right, Like, no, that's

625
00:41:37,080 --> 00:41:39,719
Speaker 1: not you, it's it's it's not it's a little bit

626
00:41:39,800 --> 00:41:43,000
Speaker 1: squishier and grosser than like two balloons rubbing against each other,

627
00:41:43,840 --> 00:41:47,640
Speaker 1: which is which is also like a mortifying squeak. You know,

628
00:41:48,040 --> 00:41:51,160
Speaker 1: I don't love that either, but yes, like the tooth

629
00:41:51,239 --> 00:41:54,680
Speaker 1: field to when I like when like styrofoam, Like you

630
00:41:54,680 --> 00:41:57,440
Speaker 1: have a styrofoam cup and it like gently scrapes against

631
00:41:57,520 --> 00:42:00,719
Speaker 1: your top teeth, I kind of want to die. Well

632
00:42:00,760 --> 00:42:03,560
Speaker 1: that's because it like scrapes right off, you know what

633
00:42:03,600 --> 00:42:06,320
Speaker 1: I mean. Like like styrofoam is like like it feels

634
00:42:06,320 --> 00:42:09,640
Speaker 1: like it's made of like the crumbliest material there is. Yeah,

635
00:42:09,840 --> 00:42:13,600
Speaker 1: like it feels like it's barely holding together as a solid. Yeah,

636
00:42:13,640 --> 00:42:18,560
Speaker 1: I I hate everything about styrofoam. I'm gonna be honest, um,

637
00:42:18,600 --> 00:42:22,960
Speaker 1: but like for every classy lady like me who refuses

638
00:42:23,000 --> 00:42:27,280
Speaker 1: to eat styrofoam is a worm with no dignity, So

639
00:42:29,600 --> 00:42:34,480
Speaker 1: talk about amazingly. I wrote that line for myself ahead

640
00:42:34,520 --> 00:42:40,160
Speaker 1: of time. Uh, A shameless worm who just is like

641
00:42:40,200 --> 00:42:45,440
Speaker 1: I'll eat that styrofoam bracket. Right. Yeah, here's here's me,

642
00:42:45,680 --> 00:42:49,600
Speaker 1: classy lady, and here's worm who eats styrofoam. Down here.

643
00:42:50,320 --> 00:42:52,840
Speaker 1: Put it in my put it in my equivalent of mouth.

644
00:42:53,840 --> 00:42:57,680
Speaker 1: It's just a mouth equivalent of a mouth is just mouth. Um.

645
00:42:57,800 --> 00:43:03,319
Speaker 1: Worms have mouth, so warms have mouths. Of course they

646
00:43:03,480 --> 00:43:06,239
Speaker 1: did not. That sounded insane that I did not know

647
00:43:06,440 --> 00:43:09,360
Speaker 1: they eat at them with no I thought they honestly,

648
00:43:09,400 --> 00:43:11,600
Speaker 1: I thought they absorbed it with their slime powers. I

649
00:43:11,640 --> 00:43:14,960
Speaker 1: really did, you know. That's not like the worst idea.

650
00:43:15,200 --> 00:43:19,440
Speaker 1: There are warm like things that do absorb nutrients through

651
00:43:19,480 --> 00:43:22,680
Speaker 1: their skin, like the hagfish, although they also have a mouth.

652
00:43:23,480 --> 00:43:25,840
Speaker 1: But it's not so you know, it's not not a

653
00:43:26,000 --> 00:43:30,280
Speaker 1: not a bad idea, but they do have mouth. Um.

654
00:43:30,400 --> 00:43:34,640
Speaker 1: Let's chat about the larvae of the darkling beetle. So

655
00:43:34,760 --> 00:43:37,520
Speaker 1: the darkling beetles are a family of beetles found all

656
00:43:37,560 --> 00:43:40,560
Speaker 1: over the world in deserts and forests, and they love

657
00:43:40,640 --> 00:43:46,160
Speaker 1: to eat decaying plant matter, including decaying wood. That's just wood,

658
00:43:46,239 --> 00:43:55,200
Speaker 1: that's just that's wood. That's a little tangy wood. That's fun.

659
00:43:55,560 --> 00:44:02,840
Speaker 1: Yet in a party forest, each invest in early then

660
00:44:02,880 --> 00:44:12,200
Speaker 1: they retired cane um. So uh, we will focus on

661
00:44:12,360 --> 00:44:17,239
Speaker 1: Zoophobus mario, which is the beetle whose larval stage is

662
00:44:17,920 --> 00:44:24,400
Speaker 1: uh called a fun name. Super worms superworms technically not

663
00:44:24,520 --> 00:44:27,920
Speaker 1: like worms. Um, they're larva. I mean like sometimes we

664
00:44:28,040 --> 00:44:31,880
Speaker 1: like call larva worms by larva larva because they're like

665
00:44:31,880 --> 00:44:36,239
Speaker 1: the larval stage of an insect or an arthropod on

666
00:44:36,719 --> 00:44:40,200
Speaker 1: in this case this beetle and um so they're not

667
00:44:40,360 --> 00:44:44,960
Speaker 1: technically worms, but you know they get a cool nickname though,

668
00:44:45,200 --> 00:44:49,600
Speaker 1: super worms. Great. I love it. Oh yeah, absolutely sounds

669
00:44:49,600 --> 00:44:52,720
Speaker 1: like he's gonna like it's like fly around the city

670
00:44:53,239 --> 00:44:57,160
Speaker 1: solving and defeating crime, and the criminal is gonna be like,

671
00:44:57,200 --> 00:44:59,719
Speaker 1: oh it just hit my face? Is this a little noodle? No,

672
00:45:00,160 --> 00:45:04,560
Speaker 1: super warm? That's super warm, super warm, wrestling your crime

673
00:45:04,600 --> 00:45:07,479
Speaker 1: from you with its apparently with its mouth. It also

674
00:45:07,520 --> 00:45:09,440
Speaker 1: sounds like the exact name of a SKA band I

675
00:45:09,480 --> 00:45:12,440
Speaker 1: may or may not have started in high school. Really yeah,

676
00:45:12,480 --> 00:45:16,160
Speaker 1: why not literally or just what it might or in

677
00:45:16,239 --> 00:45:20,799
Speaker 1: this bit right? Yes, uh it's it's the kind of

678
00:45:20,880 --> 00:45:23,239
Speaker 1: name SKA bands were taking in the late nineties. I'm

679
00:45:23,280 --> 00:45:25,920
Speaker 1: sorry to like put your bit on trial of like

680
00:45:26,160 --> 00:45:29,160
Speaker 1: is that the truth? At him? Are you telling lies

681
00:45:29,239 --> 00:45:32,359
Speaker 1: to me? Where was this? Where was this bit five

682
00:45:32,400 --> 00:45:35,799
Speaker 1: seconds earlier when it was uttered without consequence? Doesn't have

683
00:45:35,800 --> 00:45:41,960
Speaker 1: an alibi? So it doesn't. Uh so the Phoebus memorial

684
00:45:42,520 --> 00:45:46,359
Speaker 1: um as adults are matt black beetles that can grow

685
00:45:46,560 --> 00:45:50,160
Speaker 1: over two inches or fifty seven millimeters long. You know,

686
00:45:50,280 --> 00:45:53,279
Speaker 1: they're there's just kind of normal looking beetles. Um. The

687
00:45:53,480 --> 00:45:56,879
Speaker 1: super warm larva, the baby version of the beetles, are

688
00:45:57,040 --> 00:46:00,400
Speaker 1: light brown in color, uh, and grow to be around

689
00:46:00,440 --> 00:46:03,520
Speaker 1: one and a half inches to two inches or fifty

690
00:46:03,600 --> 00:46:06,399
Speaker 1: to sixty millimeters long. So you know, you know they're

691
00:46:06,440 --> 00:46:10,280
Speaker 1: not like huge, but they're I guess they're called superworms

692
00:46:10,360 --> 00:46:15,800
Speaker 1: because they look like large, like extra large meal worms. Um,

693
00:46:15,840 --> 00:46:20,440
Speaker 1: they're actually used. Yeah, they're actually used to feed pet

694
00:46:20,520 --> 00:46:24,719
Speaker 1: insectivores like birds, reptiles and fish. So like pet owners

695
00:46:25,160 --> 00:46:28,680
Speaker 1: will buy these and feed them to their animals. Well,

696
00:46:28,680 --> 00:46:30,120
Speaker 1: and it sounds like the kind of thing is that

697
00:46:30,160 --> 00:46:34,960
Speaker 1: that's got to be better than normal words for my pet. Yeah,

698
00:46:35,040 --> 00:46:38,240
Speaker 1: ford of exactly, you know, like like dirt enriched worms

699
00:46:38,320 --> 00:46:44,800
Speaker 1: those Yeah, part of a balanced beak fest, balanced parrot meal. Yeah.

700
00:46:44,800 --> 00:46:48,040
Speaker 1: I do feel like, uh, superworms is a little bit

701
00:46:48,040 --> 00:46:50,799
Speaker 1: of a treacherous name because what I want is for

702
00:46:50,840 --> 00:46:53,799
Speaker 1: the worm to be gigantic and for the beetle that

703
00:46:53,880 --> 00:46:56,680
Speaker 1: comes out of it to be normaliz, Like if we

704
00:46:56,800 --> 00:47:01,560
Speaker 1: never see that in nature, Actually we do not worms,

705
00:47:01,600 --> 00:47:06,600
Speaker 1: but we have the paradoxical frog, where the the tadpole

706
00:47:07,320 --> 00:47:12,000
Speaker 1: is kind of larger or longer than the frog, and

707
00:47:12,080 --> 00:47:15,480
Speaker 1: it's just that this tail sort of gets absorbed by

708
00:47:15,520 --> 00:47:19,640
Speaker 1: the frog, says, it's metamorphosizing from a tadpole into a frog,

709
00:47:20,080 --> 00:47:22,560
Speaker 1: and so it's just kind of using up that tail

710
00:47:22,680 --> 00:47:25,839
Speaker 1: energy during its metamorphosis. Um. And so it looks it's

711
00:47:26,239 --> 00:47:30,399
Speaker 1: seems like the frog is like smaller, like somehow there

712
00:47:30,400 --> 00:47:33,000
Speaker 1: has been a loss of matter here. But it's just

713
00:47:33,200 --> 00:47:35,960
Speaker 1: it's but it's not a big change, right, Like it's

714
00:47:35,960 --> 00:47:39,080
Speaker 1: a it's the smallest change. It's a. Yeah, it's not

715
00:47:39,120 --> 00:47:41,840
Speaker 1: like a it's not a ridiculous change, because that's what

716
00:47:41,920 --> 00:47:43,759
Speaker 1: I want. I want the worm to be like a

717
00:47:43,800 --> 00:47:45,520
Speaker 1: foot long, and I want the frog to be or

718
00:47:45,520 --> 00:47:47,880
Speaker 1: the beetle to be normal sized. Like it's like the

719
00:47:47,920 --> 00:47:52,239
Speaker 1: worm was a high school quarterback, like like a Benjamin

720
00:47:52,360 --> 00:47:56,200
Speaker 1: Button situation, except that Benjamin Button because like in the movie,

721
00:47:56,600 --> 00:48:01,319
Speaker 1: it's like he comes out small. Um here's okay, Now

722
00:48:01,360 --> 00:48:04,640
Speaker 1: here's what is confusing about Benjamin Button. I've always had

723
00:48:04,640 --> 00:48:07,880
Speaker 1: this problem with it. The idea, the conceit of the

724
00:48:08,000 --> 00:48:13,800
Speaker 1: movie is that Benjamin Button is born old and gets young. Okay,

725
00:48:14,080 --> 00:48:17,920
Speaker 1: got it. But when he's born old, he's small, he's little.

726
00:48:18,040 --> 00:48:21,440
Speaker 1: He's like an old man born because he's got to

727
00:48:21,480 --> 00:48:26,560
Speaker 1: come out somehow, and so he's got to be small. Okay.

728
00:48:26,880 --> 00:48:30,239
Speaker 1: As the movie progresses, he gets younger and younger and

729
00:48:30,320 --> 00:48:34,799
Speaker 1: so turns back into baby. But he's small again. So

730
00:48:34,880 --> 00:48:41,960
Speaker 1: here's my problem, giant giant baby, because he starts out

731
00:48:42,040 --> 00:48:46,720
Speaker 1: small and ends up small again. It doesn't make any sense.

732
00:48:47,200 --> 00:48:50,640
Speaker 1: It's like old Tommy Melville, Hermie Hermie Melville is trying

733
00:48:50,640 --> 00:48:55,560
Speaker 1: to hide the absolute horror of this concept, like it's

734
00:48:55,640 --> 00:48:59,759
Speaker 1: so horrifying. Gonsip a little less cute if Kate Blanchet

735
00:48:59,880 --> 00:49:04,560
Speaker 1: is walking along with her former lover who's now a baby, um,

736
00:49:04,560 --> 00:49:09,000
Speaker 1: which I always thought was weird. That's like um, but

737
00:49:09,520 --> 00:49:13,560
Speaker 1: now like instead it's just walking along with giant baby.

738
00:49:13,880 --> 00:49:16,040
Speaker 1: Is like you used to be my lover, Now you're

739
00:49:16,040 --> 00:49:19,960
Speaker 1: a giant baby. That's so much funnier, though it's like

740
00:49:20,560 --> 00:49:24,360
Speaker 1: legally so funny, like like a baby the size of

741
00:49:24,360 --> 00:49:28,520
Speaker 1: a normal person, like a tall baby, you know, like

742
00:49:28,520 --> 00:49:30,880
Speaker 1: it's has to push this bassinet that's like the size

743
00:49:30,880 --> 00:49:34,920
Speaker 1: of a limousine. You know. It's honestly, that's that's a

744
00:49:34,960 --> 00:49:40,040
Speaker 1: good movie. Come on, baby, Brad Pitt, let's uh you know,

745
00:49:41,120 --> 00:49:45,840
Speaker 1: where's where's that reboot? Where's that reboot? Poorly conceived metaphor

746
00:49:45,960 --> 00:49:52,600
Speaker 1: for dementia. Um. Anyways, we were talking about worms, and

747
00:49:52,680 --> 00:49:58,080
Speaker 1: in fact not worms but larva. So super worms are

748
00:49:58,239 --> 00:50:04,520
Speaker 1: incredibly super and not just because um they are food

749
00:50:04,640 --> 00:50:08,840
Speaker 1: for birds and that they are slightly larger than meal worms.

750
00:50:09,239 --> 00:50:14,480
Speaker 1: They have another superpower. So they can eat styrofoam, which

751
00:50:14,719 --> 00:50:21,680
Speaker 1: is benanes. Why why why can't they eat it? H Well,

752
00:50:22,400 --> 00:50:25,720
Speaker 1: I'll answer that question for you, Adam. First of all,

753
00:50:25,920 --> 00:50:30,719
Speaker 1: what styrofoam. Styrofoam or polystyrene is a synthetic polymer. It's

754
00:50:30,760 --> 00:50:35,960
Speaker 1: not biodegradable, meaning that if left outside, bacteria and microorganisms

755
00:50:36,120 --> 00:50:38,920
Speaker 1: will not break it down. So it's not great for

756
00:50:38,960 --> 00:50:42,440
Speaker 1: the environment because it just we we take energy to

757
00:50:42,520 --> 00:50:46,080
Speaker 1: make it and then now it's it's not being reclaimed

758
00:50:46,080 --> 00:50:49,719
Speaker 1: by the earth and it sits there landfills right exactly.

759
00:50:49,840 --> 00:50:55,040
Speaker 1: It ages more than like Roman colosseums, like you know

760
00:50:55,040 --> 00:50:58,279
Speaker 1: what I mean. It's like, you know, the ruins of

761
00:50:58,280 --> 00:51:05,600
Speaker 1: our society are all going to be like dirofied. Yeah. So, um,

762
00:51:05,640 --> 00:51:12,000
Speaker 1: but somehow superworms can eat styrofoam. So um full disclosure,

763
00:51:12,040 --> 00:51:15,560
Speaker 1: styrofoam is not the most nutritious or delicious food for

764
00:51:15,640 --> 00:51:19,640
Speaker 1: these superworms, but they can do it, so they'll take it.

765
00:51:19,640 --> 00:51:21,200
Speaker 1: They'll take it in a pinch. It's like mac and

766
00:51:21,280 --> 00:51:27,520
Speaker 1: cheese for them, exactly. Yea craft. We're talking about craft,

767
00:51:27,560 --> 00:51:30,600
Speaker 1: not Annie's, right, because Annie's is, you know, Andie's is

768
00:51:30,640 --> 00:51:33,520
Speaker 1: a delicacy. Craft. Mac and cheese is the ultimate fill

769
00:51:33,560 --> 00:51:36,480
Speaker 1: in the blank food. I used to, at the lowest

770
00:51:36,520 --> 00:51:41,160
Speaker 1: point in my life, eat it when it was refrigerated

771
00:51:41,360 --> 00:51:46,000
Speaker 1: and and became sort of like a cake. Um yeah,

772
00:51:46,320 --> 00:51:49,560
Speaker 1: because you'd like refrigerate it and then like take it

773
00:51:49,600 --> 00:51:51,879
Speaker 1: out of the little pot and it just sort of

774
00:51:51,920 --> 00:51:56,440
Speaker 1: come out as as as a little loaf, and I can,

775
00:51:56,480 --> 00:51:59,840
Speaker 1: can I take a nice slice out of cold mac

776
00:51:59,840 --> 00:52:03,560
Speaker 1: and cheese? I fixed myself, don't worry. That's a real

777
00:52:03,680 --> 00:52:07,520
Speaker 1: natier for sure. That's that's that's the moment in the

778
00:52:07,560 --> 00:52:10,239
Speaker 1: screenplay where you get your crew together and fight back.

779
00:52:10,280 --> 00:52:15,160
Speaker 1: Finally in a screenplay. Inexplicably be in my underpants while

780
00:52:15,239 --> 00:52:22,120
Speaker 1: doing this, but generally I was clothed, thank god, thank god.

781
00:52:22,440 --> 00:52:28,080
Speaker 1: So uh yeah, um onto the scientists being mean to

782
00:52:28,200 --> 00:52:33,400
Speaker 1: larva um. So in a twisted University of Queensland study,

783
00:52:33,760 --> 00:52:39,040
Speaker 1: super worms were divided into three groups, those who were

784
00:52:39,120 --> 00:52:43,560
Speaker 1: fed brand flakes uh, those who were served a heaping

785
00:52:44,680 --> 00:52:50,120
Speaker 1: pile of nothing, and then those who were fed styrofoam

786
00:52:50,440 --> 00:52:54,560
Speaker 1: so uh. In a in a study that could only

787
00:52:54,600 --> 00:52:58,960
Speaker 1: be done because we apparently have no sympathy for larva um,

788
00:52:59,000 --> 00:53:03,200
Speaker 1: they compared the outcomes of these three groups of superworms.

789
00:53:03,239 --> 00:53:06,280
Speaker 1: So the super worms who got to eat brand flakes

790
00:53:06,520 --> 00:53:09,919
Speaker 1: were living large, they having a great life. Of course,

791
00:53:09,960 --> 00:53:13,640
Speaker 1: have a great life. Yeah, they're fat, they were happy,

792
00:53:13,760 --> 00:53:18,480
Speaker 1: and they pupated, meaning they metamorphosized from the larva to

793
00:53:18,520 --> 00:53:21,799
Speaker 1: an adult stage over ninety percent of the time. So

794
00:53:21,840 --> 00:53:27,239
Speaker 1: they're doing great. Yeah. The superworms who got nothing and

795
00:53:27,280 --> 00:53:31,080
Speaker 1: then we're told to like it um didn't do so good.

796
00:53:31,640 --> 00:53:37,239
Speaker 1: They didn't really gain weight. They only pupated ten percent

797
00:53:37,320 --> 00:53:43,239
Speaker 1: at the time, So, you know, not a good situation. Surprising, right,

798
00:53:44,120 --> 00:53:47,000
Speaker 1: I mean presumably I think that like for a lot

799
00:53:47,120 --> 00:53:49,680
Speaker 1: there there was like they had to pause the study

800
00:53:49,880 --> 00:53:54,279
Speaker 1: because too many of them were resorting to cannibalism, so

801
00:53:54,480 --> 00:53:57,680
Speaker 1: like they had to isolate, they had to isolate the

802
00:53:57,719 --> 00:54:00,480
Speaker 1: super worms, so they couldn't literally eat each other do

803
00:54:00,560 --> 00:54:04,040
Speaker 1: a Dawner party situation of super worms, it turns into

804
00:54:04,080 --> 00:54:05,839
Speaker 1: the walking dead in there, you know what I mean,

805
00:54:05,920 --> 00:54:12,320
Speaker 1: Like it's just an endless tale of sorrow reality great um.

806
00:54:12,400 --> 00:54:14,759
Speaker 1: And then there's just like one worm that's always going

807
00:54:14,760 --> 00:54:24,000
Speaker 1: like coral co it's wearing a hat but always yeah uh.

808
00:54:24,040 --> 00:54:28,000
Speaker 1: And then these super worms who were fed styrofoam actually

809
00:54:28,160 --> 00:54:31,879
Speaker 1: slowly gained weight, you know, not as not as well

810
00:54:31,920 --> 00:54:35,200
Speaker 1: as the brand eaters, but they were able to pupate

811
00:54:35,600 --> 00:54:40,360
Speaker 1: sixties seven person at the time. So this sames sandicate

812
00:54:40,600 --> 00:54:47,120
Speaker 1: that styrofoam is way better than nothing. What a sort

813
00:54:47,200 --> 00:54:52,040
Speaker 1: in same test, I put literally anything there and proven

814
00:54:52,120 --> 00:54:54,200
Speaker 1: that I feel, like you know what I mean, Like

815
00:54:54,480 --> 00:54:57,520
Speaker 1: I mean something that's not poisoned, okay, but like they

816
00:54:57,520 --> 00:55:00,480
Speaker 1: could have put any food stuff there that but it's

817
00:55:00,840 --> 00:55:03,840
Speaker 1: proven that it's better than zero food. Well no, I

818
00:55:03,880 --> 00:55:07,080
Speaker 1: mean it actually makes sense because if styrofoam could not

819
00:55:07,239 --> 00:55:11,959
Speaker 1: be digested as we assume like it probably shouldn't be,

820
00:55:12,280 --> 00:55:14,120
Speaker 1: then it should be zero. It should be the same,

821
00:55:14,160 --> 00:55:16,680
Speaker 1: It should be the same as the ones that get nothing,

822
00:55:16,719 --> 00:55:20,879
Speaker 1: because like if you are given like like here, eat

823
00:55:20,960 --> 00:55:24,000
Speaker 1: some sand, you're not going to do well. It's not

824
00:55:24,040 --> 00:55:33,399
Speaker 1: going to be better than nothing. Will Yeah. Um, I'm

825
00:55:33,440 --> 00:55:37,680
Speaker 1: just thinking of like like tiny atoms bursting out of

826
00:55:37,719 --> 00:55:41,279
Speaker 1: like one little foot becomes another me. Yeah, exactly, Well

827
00:55:41,320 --> 00:55:44,279
Speaker 1: that's I mean, that's budding. You're talking about reproducing by

828
00:55:44,280 --> 00:55:50,319
Speaker 1: butting like a coral, like coral co uh so, like

829
00:55:50,360 --> 00:55:53,640
Speaker 1: there'd be a little chrysalis around, you know, flag or whatever.

830
00:55:54,120 --> 00:56:00,520
Speaker 1: And then it's Adam's face on a butterfly's body improvement.

831
00:56:00,560 --> 00:56:04,920
Speaker 1: I think everybody gets improved by that, right for everybody.

832
00:56:05,200 --> 00:56:10,280
Speaker 1: Human face on a butterfly's body is Um, I'm picturing

833
00:56:10,320 --> 00:56:16,799
Speaker 1: it and I'm not loving it, I say so. Uh yeah.

834
00:56:16,880 --> 00:56:20,200
Speaker 1: So this indicates the fact that they not only gained weight,

835
00:56:20,239 --> 00:56:22,120
Speaker 1: but they were able to pupate, so they had enough

836
00:56:22,320 --> 00:56:26,719
Speaker 1: energy and nutrition to pupate a shockingly you know, passing

837
00:56:26,760 --> 00:56:34,480
Speaker 1: grade of sixty seven. Um. Yeah, means that they were

838
00:56:34,520 --> 00:56:39,360
Speaker 1: able to get a shocking amount of nutrition from the styrofoam.

839
00:56:39,440 --> 00:56:43,399
Speaker 1: So researchers suspect that there is some kind of symbiotic

840
00:56:43,440 --> 00:56:47,799
Speaker 1: relationship between the super worms and a gut bacteria, and

841
00:56:47,880 --> 00:56:52,760
Speaker 1: that's somehow together the larva and the gut bacteria managed

842
00:56:52,840 --> 00:56:57,759
Speaker 1: to digest this typically inedible material. So uh, you know,

843
00:56:57,800 --> 00:57:00,880
Speaker 1: because like if you put star from out on the ground,

844
00:57:01,640 --> 00:57:04,920
Speaker 1: it doesn't break down like you know, generally speaking like

845
00:57:05,120 --> 00:57:07,479
Speaker 1: by from bacteria, even if you like put it in water,

846
00:57:07,520 --> 00:57:10,960
Speaker 1: I don't think it really breaks down. But somehow there's

847
00:57:11,040 --> 00:57:15,480
Speaker 1: something going on with this superworm that there's potentially some

848
00:57:15,520 --> 00:57:19,880
Speaker 1: symbiotic relationship where it's able to digest this. It's sort

849
00:57:19,880 --> 00:57:23,760
Speaker 1: of like with termites. Um termites will eat wood and

850
00:57:23,800 --> 00:57:27,800
Speaker 1: be able to derive nutrients from that thanks to symbiotic

851
00:57:28,080 --> 00:57:32,040
Speaker 1: um bacteria that they have in their guts. And if

852
00:57:32,040 --> 00:57:36,680
Speaker 1: you've wondered like okay, well wait, if bacteria can eat wood, uh,

853
00:57:36,720 --> 00:57:39,800
Speaker 1: then why isn't my house just a rotting you know,

854
00:57:40,000 --> 00:57:43,520
Speaker 1: pile of mush? Well, like what will break down? Like

855
00:57:43,560 --> 00:57:45,400
Speaker 1: say you if you have like a chair and you've

856
00:57:45,400 --> 00:57:48,880
Speaker 1: ever had it like sit out it's unfinished and it's like,

857
00:57:49,480 --> 00:57:51,840
Speaker 1: uh sits out in the rain and it gets it

858
00:57:51,960 --> 00:57:57,600
Speaker 1: rots it exactly because the water is a good environment

859
00:57:57,720 --> 00:57:59,880
Speaker 1: for the bacteria to thrive and like a dry and

860
00:58:00,040 --> 00:58:04,400
Speaker 1: vironment um the the wood is you know, it's like

861
00:58:04,440 --> 00:58:07,160
Speaker 1: the bacteria has kind of nowhere to survive, and so

862
00:58:07,280 --> 00:58:10,360
Speaker 1: the termite since the bacteria it's like happy and the

863
00:58:10,680 --> 00:58:14,480
Speaker 1: and the termites gut can survive in there um. And

864
00:58:14,520 --> 00:58:17,160
Speaker 1: then when the termite breaks down the wood and eats it,

865
00:58:18,560 --> 00:58:21,520
Speaker 1: the bacteria that can then process the wood and actually

866
00:58:21,560 --> 00:58:24,680
Speaker 1: turn it into usable nutrients for the bacteria or for

867
00:58:24,800 --> 00:58:28,200
Speaker 1: the termite. So the thought, so the thought is maybe

868
00:58:28,240 --> 00:58:32,600
Speaker 1: somehow the super worm and this bacteria are able to

869
00:58:32,640 --> 00:58:36,480
Speaker 1: work together in a way that it can digest the styrofoam. Obviously,

870
00:58:36,520 --> 00:58:40,520
Speaker 1: it did not evolve to digest styrofoam, because styrofoam came

871
00:58:40,720 --> 00:58:44,720
Speaker 1: way after the portion of this thing. It's just incidental

872
00:58:44,880 --> 00:58:49,720
Speaker 1: because it breaks down plant material, rotting wood, so it

873
00:58:49,840 --> 00:58:53,640
Speaker 1: must have some pretty, you know, great gut bacteria that

874
00:58:53,680 --> 00:58:56,919
Speaker 1: helps it break down and incidentally seems to also help

875
00:58:56,920 --> 00:59:01,320
Speaker 1: it break down styrofoam. So it feels it feels like

876
00:59:02,400 --> 00:59:05,840
Speaker 1: we're like ten years from some scientists just pouring it

877
00:59:05,880 --> 00:59:09,680
Speaker 1: on a landfill, just taking a mountain of super worms

878
00:59:09,680 --> 00:59:11,280
Speaker 1: and pouring it on a lamp. I mean, this is

879
00:59:11,320 --> 00:59:14,320
Speaker 1: what like this is the application they're thinking that maybe

880
00:59:14,360 --> 00:59:18,439
Speaker 1: we can use this to help break down styrofoam. I mean,

881
00:59:18,520 --> 00:59:22,120
Speaker 1: like obviously, like the better thing is that we don't

882
00:59:22,200 --> 00:59:25,920
Speaker 1: create the problem in the first place, um and find

883
00:59:26,240 --> 00:59:30,320
Speaker 1: better materials to make than styrofoam. But yeah, like having

884
00:59:31,000 --> 00:59:35,960
Speaker 1: having uh animals that can break down like plastics and

885
00:59:36,000 --> 00:59:40,560
Speaker 1: styrofoam would be good for our already existing heaping piles

886
00:59:40,600 --> 00:59:43,760
Speaker 1: of trash that we have created. But then you then

887
00:59:43,760 --> 00:59:45,960
Speaker 1: you got the problem of like the Beatles have too

888
00:59:46,040 --> 00:59:48,480
Speaker 1: much leverage, what I mean, And then and then we

889
00:59:48,520 --> 00:59:51,680
Speaker 1: have another We got a war on our hands and treaties.

890
00:59:51,720 --> 00:59:55,360
Speaker 1: We gotta make Beetle treatise in favor of the Beatles union. Honestly,

891
00:59:55,920 --> 00:59:58,640
Speaker 1: of course, who wouldn't be you know, you know I

892
00:59:58,640 --> 01:00:03,439
Speaker 1: hadn't asked for this exactly. I mean like, I kind

893
01:00:03,440 --> 01:00:06,720
Speaker 1: of also love the idea of of these little super

894
01:00:06,760 --> 01:00:11,040
Speaker 1: worms going on strike and having tiny signs that too,

895
01:00:11,600 --> 01:00:14,120
Speaker 1: I like that too. I like I like them having

896
01:00:14,120 --> 01:00:17,960
Speaker 1: to sort out conflicts with their beetle overlords, right exactly. Wait, wait, no,

897
01:00:18,160 --> 01:00:21,440
Speaker 1: the worms are the beetles babies. We would be the

898
01:00:21,600 --> 01:00:25,680
Speaker 1: overlords because we'd be like literally enslaving their babies to

899
01:00:25,800 --> 01:00:29,680
Speaker 1: make them eat our styrofoam. I feel like I can't

900
01:00:29,760 --> 01:00:32,240
Speaker 1: be the first to break the idea of generational oppression

901
01:00:32,280 --> 01:00:39,080
Speaker 1: to you. I feel like you're like, yes, humans take

902
01:00:39,120 --> 01:00:42,000
Speaker 1: our babies and make them work in the styrofoam mind

903
01:00:42,080 --> 01:00:44,400
Speaker 1: and pay and pay us and you know, pay us

904
01:00:44,400 --> 01:00:47,840
Speaker 1: and whatever beetles want. Bring back the Larva labor laws.

905
01:00:48,640 --> 01:00:51,959
Speaker 1: Bring them back. That's right, they were, because I don't

906
01:00:51,960 --> 01:00:55,280
Speaker 1: think they exist. I'm pretty sure that wasn't pork barreled

907
01:00:55,280 --> 01:00:59,320
Speaker 1: onto somebody's you know, somebody's bill a few years ago.

908
01:00:59,760 --> 01:01:10,120
Speaker 1: So that here m wiggles Senator Jim bugs past the

909
01:01:10,200 --> 01:01:13,560
Speaker 1: bill submitted to build of Congress today. Can you imagine

910
01:01:14,240 --> 01:01:16,520
Speaker 1: about larval treatment And everyone's like, get the hell And

911
01:01:16,560 --> 01:01:18,680
Speaker 1: it's just like that guy from Men in Black, he's like,

912
01:01:19,040 --> 01:01:29,000
Speaker 1: oh my god, for Nebraska, give us sugar, our vote, please,

913
01:01:29,080 --> 01:01:35,280
Speaker 1: more water will sugar. I love it. I love super Worms.

914
01:01:35,920 --> 01:01:39,320
Speaker 1: I loved it. But I feel like, you know, it's

915
01:01:39,400 --> 01:01:42,320
Speaker 1: like also, just like give him brand once in a while,

916
01:01:42,640 --> 01:01:45,560
Speaker 1: let him meet something nice. Yeah, I mean I know

917
01:01:45,640 --> 01:01:48,440
Speaker 1: that people are tossing out extra boxes of Raisin brand

918
01:01:48,480 --> 01:01:53,400
Speaker 1: once in a while. I know that's happens. Honestly. Yeah,

919
01:01:53,800 --> 01:01:58,360
Speaker 1: I agree. I'm not a big scoops. It's okay, okay

920
01:01:58,560 --> 01:02:06,200
Speaker 1: with Raisins, milk, milk and Raisins don't work for me, raisins.

921
01:02:06,320 --> 01:02:11,360
Speaker 1: It's okay, Yeah, it's okay. I don't settle, doesn't settle

922
01:02:11,480 --> 01:02:14,680
Speaker 1: for Syria, and I respect that. That's why you founded,

923
01:02:16,960 --> 01:02:19,800
Speaker 1: because you're looking for a better currency. I remember you.

924
01:02:20,040 --> 01:02:23,480
Speaker 1: Your down flows and your up flows will thank you

925
01:02:23,760 --> 01:02:28,200
Speaker 1: when you invest in creature case. Just get five of

926
01:02:28,240 --> 01:02:31,360
Speaker 1: your friends to invest in creature cash. In the value

927
01:02:31,360 --> 01:02:39,120
Speaker 1: of creature cash will skyrocket. Well, Quentin tuple, Well, yeah,

928
01:02:39,160 --> 01:02:44,040
Speaker 1: that's real math. That's real math, real math. Yeah, the

929
01:02:44,040 --> 01:02:46,959
Speaker 1: graphic real math slides in with the next just create

930
01:02:47,000 --> 01:02:49,160
Speaker 1: a power point where I'm just like, it's just a

931
01:02:49,200 --> 01:02:51,600
Speaker 1: line that shoots right up and like this is where

932
01:02:51,600 --> 01:02:58,840
Speaker 1: it's going, that's going up, followed by just a couple

933
01:02:58,880 --> 01:03:01,640
Speaker 1: of slides with bugs on them. Yeah. I like this

934
01:03:01,720 --> 01:03:06,560
Speaker 1: presentation sold me instantly. And then I just like demonstrate.

935
01:03:06,680 --> 01:03:10,320
Speaker 1: I'm like like with some super worms eating a styrofoam

936
01:03:10,400 --> 01:03:12,920
Speaker 1: cup and they're so odd that they invest in creature.

937
01:03:13,600 --> 01:03:15,800
Speaker 1: This is the kind of this is the kind of

938
01:03:15,960 --> 01:03:21,240
Speaker 1: entrepreneurship creature cash funds. And then it's like worms at

939
01:03:21,480 --> 01:03:26,000
Speaker 1: foam cup that says profits on it eating them These

940
01:03:26,720 --> 01:03:32,959
Speaker 1: larva are you? Yeah, you're the larva yeah, I didn't

941
01:03:33,240 --> 01:03:39,919
Speaker 1: that ted Ax talk. Yeah, I'd give that for money. Absolutely. Well,

942
01:03:39,960 --> 01:03:42,320
Speaker 1: before we go, we gotta play a little game. The

943
01:03:42,360 --> 01:03:46,200
Speaker 1: game is called Guess Who Squawk and the Mry Animal

944
01:03:46,240 --> 01:03:50,320
Speaker 1: Sound Game. Every week I introduced some Mr Animal Sound

945
01:03:50,320 --> 01:03:53,240
Speaker 1: and you the listener, Hey, you the gift, try to

946
01:03:53,280 --> 01:03:58,280
Speaker 1: guess who's squawking. The rules is it's any animal? Um,

947
01:03:58,320 --> 01:04:01,960
Speaker 1: and it's yeah. It can be any animal. It can

948
01:04:02,000 --> 01:04:04,760
Speaker 1: be more well known animals. It could be some obscure

949
01:04:04,800 --> 01:04:08,480
Speaker 1: animal you've never heard of. Um. It's not necessarily a

950
01:04:08,520 --> 01:04:13,720
Speaker 1: fair game. Um, but you know it's educational, so shut up.

951
01:04:17,040 --> 01:04:21,000
Speaker 1: All right. So last week Mr Animals Sound, the hint

952
01:04:21,240 --> 01:04:27,520
Speaker 1: was not quite a gobbler. So again the hint not

953
01:04:27,800 --> 01:04:32,600
Speaker 1: quite a gobbler, and here is the sound. Mm hmmm

954
01:04:34,920 --> 01:04:42,439
Speaker 1: mm hmmm. So Adam, did you hear that little boo? Yeah,

955
01:04:42,480 --> 01:04:45,440
Speaker 1: it was like it was like like a cute fish,

956
01:04:45,640 --> 01:04:52,080
Speaker 1: like flirting with a waiter. It's that waitress who was like,

957
01:04:53,120 --> 01:05:00,600
Speaker 1: you're like, I know she's into it. Yeah, it's exactly.

958
01:05:00,640 --> 01:05:03,919
Speaker 1: She was also a fish. You're right, um, not quite

959
01:05:03,920 --> 01:05:08,480
Speaker 1: a gobbler? Is you're not quite a gobbler? Okay? Alright,

960
01:05:08,560 --> 01:05:13,240
Speaker 1: so I guess that leads me with only one logical guess,

961
01:05:13,360 --> 01:05:16,440
Speaker 1: and that is that this is a turkey vulture that

962
01:05:16,640 --> 01:05:20,400
Speaker 1: is so close and I love it. I love it.

963
01:05:20,400 --> 01:05:23,520
Speaker 1: It's not quite true. I got some kisses from listeners

964
01:05:23,520 --> 01:05:27,080
Speaker 1: to for turkey vultures and you guys are picking up

965
01:05:27,080 --> 01:05:29,800
Speaker 1: what I'm putting down. But it's another it's another one.

966
01:05:29,840 --> 01:05:36,120
Speaker 1: And this is funny because this is the Australian brush turkey.

967
01:05:35,040 --> 01:05:39,120
Speaker 1: OK so it's another bird that's called a turkey who's

968
01:05:39,120 --> 01:05:44,120
Speaker 1: not a turkey. Uh, congratulations to Amanda m who is

969
01:05:44,160 --> 01:05:47,080
Speaker 1: the only one who gets correctly. Uh. Usually I have

970
01:05:47,200 --> 01:05:48,800
Speaker 1: I do it where it's like the first three, but

971
01:05:49,120 --> 01:05:53,880
Speaker 1: like this time, this one was a real real head scratcher. Um,

972
01:05:54,120 --> 01:05:55,760
Speaker 1: so what does she get? What does she get? It?

973
01:05:55,840 --> 01:06:01,960
Speaker 1: Some creature of shares. Right now, it's worth all the

974
01:06:02,360 --> 01:06:05,680
Speaker 1: zero point zero zero zero zero zero zero zero zero

975
01:06:05,760 --> 01:06:09,640
Speaker 1: zero zero one dollars, But in the future, who knows

976
01:06:10,240 --> 01:06:16,400
Speaker 1: it'll be worth one dollar? It will be so, yes,

977
01:06:16,480 --> 01:06:22,120
Speaker 1: the Australian brush turkey is found in can you guess Australia?

978
01:06:22,720 --> 01:06:26,240
Speaker 1: That's right? What if I's like no, it would be like,

979
01:06:26,320 --> 01:06:29,400
Speaker 1: oh god, this is a dangerous game. Yeah, so it's

980
01:06:29,400 --> 01:06:32,440
Speaker 1: found in eastern Australia and it's not related at all

981
01:06:32,480 --> 01:06:35,960
Speaker 1: to American turkeys, does it? Does it look like a turkey?

982
01:06:36,160 --> 01:06:40,280
Speaker 1: Kind of? Um? So it has black feathers, a bald

983
01:06:40,320 --> 01:06:43,320
Speaker 1: red head and neck, and a yellow wattle that kind

984
01:06:43,320 --> 01:06:50,640
Speaker 1: of looks like a fleshy, wrinkly, mildly scrotal necklace. Um.

985
01:06:50,800 --> 01:06:54,480
Speaker 1: The the males will build amount of leaves and dirt,

986
01:06:54,720 --> 01:06:57,800
Speaker 1: which he hopes females will come to use to lay

987
01:06:57,840 --> 01:07:01,880
Speaker 1: her eggs after she made with him. So um, he

988
01:07:01,920 --> 01:07:04,720
Speaker 1: can mate with multiple females at once and they all

989
01:07:04,800 --> 01:07:08,560
Speaker 1: leave their eggs in this mound. Um, and he carefully

990
01:07:08,600 --> 01:07:12,000
Speaker 1: constructs it. It's got dirt and it's got decaying leaves,

991
01:07:12,040 --> 01:07:14,360
Speaker 1: and he kind of like sticks his face in there

992
01:07:14,400 --> 01:07:17,680
Speaker 1: to check to make sure the temperature is good for

993
01:07:17,840 --> 01:07:21,560
Speaker 1: egg hatching. And he also has to fend off rival

994
01:07:21,640 --> 01:07:25,800
Speaker 1: males who want to steal his dirt mound. Sure a

995
01:07:25,920 --> 01:07:30,240
Speaker 1: sweet pad you know in dating, You know, isn't that

996
01:07:30,240 --> 01:07:35,840
Speaker 1: the human condition? We're all just fighting over dirt? Yes, yes,

997
01:07:35,960 --> 01:07:39,240
Speaker 1: that is. I believe My favorite show Succession that had

998
01:07:39,280 --> 01:07:42,960
Speaker 1: the line life is a knife fight in the muck.

999
01:07:44,040 --> 01:07:50,520
Speaker 1: Yes quite, I mean the Australian brush turkeys certainly, uh certain, Yeah,

1000
01:07:51,160 --> 01:07:54,640
Speaker 1: like succession, but Australian brush turkeys and it's all these

1001
01:07:54,680 --> 01:08:01,800
Speaker 1: like going also mistreating its children, you know, leading its

1002
01:08:01,840 --> 01:08:04,520
Speaker 1: jore to believe that it loves it. No, actually, you

1003
01:08:04,520 --> 01:08:06,760
Speaker 1: know speaking of that, like, yeah, it's not one of

1004
01:08:06,800 --> 01:08:10,360
Speaker 1: the like Compared to most bird species, this is not

1005
01:08:10,480 --> 01:08:15,520
Speaker 1: the most attentive parents. Once they hatch, the baby brush

1006
01:08:15,600 --> 01:08:20,000
Speaker 1: turkeys are fully fledged, meaning they can fly as soon

1007
01:08:20,040 --> 01:08:24,200
Speaker 1: as their wings dry, so like within hours they can't.

1008
01:08:24,240 --> 01:08:26,840
Speaker 1: They just find for themselves. There's no more parental care.

1009
01:08:26,960 --> 01:08:31,320
Speaker 1: That's it. Get a job, Get a job. The adult

1010
01:08:31,320 --> 01:08:34,000
Speaker 1: turkey is like you chipping in on rent. Yeah, you

1011
01:08:34,080 --> 01:08:37,080
Speaker 1: just let your hatched go get a job. That's so good.

1012
01:08:37,280 --> 01:08:40,280
Speaker 1: Yeah I love it. Yeah, so you know, very much

1013
01:08:40,400 --> 01:08:42,920
Speaker 1: like Succession, I guess, although I guess, like, wait, isn't

1014
01:08:42,960 --> 01:08:45,840
Speaker 1: succession a bunch of rich kids who are like yeah

1015
01:08:45,880 --> 01:08:48,080
Speaker 1: they none, none of them have a real job. Even

1016
01:08:48,120 --> 01:08:50,599
Speaker 1: even the running the company doesn't feel like a real job.

1017
01:08:50,880 --> 01:08:56,320
Speaker 1: Do you see what they do? Wow? How unrealistic? I say,

1018
01:08:56,320 --> 01:09:03,719
Speaker 1: while I'm funded by companies, well, I talk about bugs

1019
01:09:03,760 --> 01:09:07,479
Speaker 1: for an hour for money. I love companies. I am

1020
01:09:07,560 --> 01:09:12,120
Speaker 1: not infected with brain worm. That lesions me into loving

1021
01:09:12,240 --> 01:09:18,479
Speaker 1: company or in I believe that. Yeah, what if there's

1022
01:09:18,560 --> 01:09:21,800
Speaker 1: like a there's like a T GANDHIAI that makes makes

1023
01:09:21,880 --> 01:09:29,320
Speaker 1: you like attracted to ah capitalism. Oh my dude, if

1024
01:09:29,320 --> 01:09:31,439
Speaker 1: you don't think that somebody's working on that, if that

1025
01:09:31,560 --> 01:09:35,000
Speaker 1: was a real thing, it's if that's like priority number one.

1026
01:09:35,439 --> 01:09:38,920
Speaker 1: Maybe they already have maybe we're already eating it. I

1027
01:09:38,960 --> 01:09:42,280
Speaker 1: do really like those cheetos I mentioned earlier. Let's try

1028
01:09:42,560 --> 01:09:51,519
Speaker 1: the the what was it served? Supreme? Hallepinia Supreme? Mr

1029
01:09:51,560 --> 01:09:54,760
Speaker 1: Hall of Pain you supreme. Yeah, that's right. I'd do

1030
01:09:54,800 --> 01:09:56,800
Speaker 1: anything to eat those. I'd rather have that than a

1031
01:09:56,840 --> 01:10:04,080
Speaker 1: pot roast. I'd rather have that than a good community.

1032
01:10:05,960 --> 01:10:09,160
Speaker 1: I'm gonna get. I'm gonna get. Like most of my

1033
01:10:09,280 --> 01:10:11,760
Speaker 1: comments on this show are very lovely and sweet, and

1034
01:10:11,800 --> 01:10:13,880
Speaker 1: I love I love them, and I love all of

1035
01:10:13,920 --> 01:10:16,439
Speaker 1: you listeners. But once in a while I get someone

1036
01:10:16,479 --> 01:10:20,200
Speaker 1: who I think has wandered into the wrong classroom, and

1037
01:10:20,240 --> 01:10:23,360
Speaker 1: we'll leave a comment where it's like I mentioned vaccines,

1038
01:10:23,520 --> 01:10:25,600
Speaker 1: is like, why do you have to get all political?

1039
01:10:25,760 --> 01:10:31,120
Speaker 1: I'm like, ma'am, this is a science podcast. Vaccines are

1040
01:10:31,160 --> 01:10:35,360
Speaker 1: a medical reality. I don't we like to get silly

1041
01:10:35,400 --> 01:10:39,439
Speaker 1: and joke about like Cheeto brain highsts, but it is

1042
01:10:40,400 --> 01:10:44,000
Speaker 1: science based, so you know, but I'm probably gonna get

1043
01:10:44,160 --> 01:10:46,599
Speaker 1: I'm probably gonna get someone who's like, why why did

1044
01:10:46,600 --> 01:10:50,639
Speaker 1: you get all political with with the capitalism brain virus?

1045
01:10:50,800 --> 01:10:54,040
Speaker 1: And it'll be fun. You're gonna get it with somebody

1046
01:10:54,040 --> 01:10:55,759
Speaker 1: who's like, why do you have to get all political

1047
01:10:55,800 --> 01:10:58,639
Speaker 1: about that? That brush turkey could have been a bush

1048
01:10:58,640 --> 01:11:02,120
Speaker 1: turkey part of the Bushhooki clan. And it's like, all right, man,

1049
01:11:02,200 --> 01:11:04,479
Speaker 1: didn't mean to step into your whole thing. Why do

1050
01:11:04,600 --> 01:11:07,040
Speaker 1: you have to Why do you have to get all

1051
01:11:07,120 --> 01:11:11,400
Speaker 1: political saying you don't like styrofoam? What are you communist?

1052
01:11:12,760 --> 01:11:14,880
Speaker 1: I happen to work for big Styrofoam. Put food on

1053
01:11:14,920 --> 01:11:18,479
Speaker 1: my table, and most of its styrofoam. It's styrofoam food

1054
01:11:18,479 --> 01:11:21,679
Speaker 1: and I can eat it right, right, it's you want

1055
01:11:21,720 --> 01:11:25,680
Speaker 1: me out of a job in the styrofoam mines, right,

1056
01:11:26,439 --> 01:11:31,439
Speaker 1: just got hacking out big lumps of styrofoam, right, getting

1057
01:11:31,439 --> 01:11:40,439
Speaker 1: the foam lung. Yeah, yep, that's happening anyways. Um onto

1058
01:11:40,520 --> 01:11:45,000
Speaker 1: this week's mystery animals. Sound here's the hint. It's a

1059
01:11:45,040 --> 01:11:48,839
Speaker 1: fashionista with a great sense for what look is in season.

1060
01:11:59,720 --> 01:12:03,040
Speaker 1: So again the hint is, it's a fashionista with a

1061
01:12:03,080 --> 01:12:08,120
Speaker 1: great sense for what look is in season. I guess

1062
01:12:08,120 --> 01:12:15,519
Speaker 1: it's uh, it's got to be a peacock, right, or

1063
01:12:15,600 --> 01:12:19,800
Speaker 1: like or like a dapper monkey of some kind, a

1064
01:12:19,920 --> 01:12:23,920
Speaker 1: dapper monkey, some kind of the West African dapper monkey,

1065
01:12:24,000 --> 01:12:31,680
Speaker 1: the dapper tough did fancet monkey. That's my guest. But no,

1066
01:12:31,880 --> 01:12:34,160
Speaker 1: I feel like I feel like peacock is the closest

1067
01:12:34,160 --> 01:12:37,400
Speaker 1: thing I can think of to your prompt, to your hint.

1068
01:12:37,680 --> 01:12:39,960
Speaker 1: Now the listener can't see my face, but this is

1069
01:12:40,000 --> 01:12:43,599
Speaker 1: an impartan. It's a no no, it's an impartant going

1070
01:12:43,680 --> 01:12:48,120
Speaker 1: for impartial. It's an impartial mask of impartiality. Because the

1071
01:12:48,160 --> 01:12:51,640
Speaker 1: answer won't be revealed until next week, go on the

1072
01:12:51,680 --> 01:12:55,519
Speaker 1: next episode of Creature Feature, where you'll find out the

1073
01:12:55,560 --> 01:12:59,160
Speaker 1: answer to this and also how Creature Case is doing

1074
01:12:59,200 --> 01:13:03,280
Speaker 1: on the markets. It's up, it has to be. It's

1075
01:13:04,360 --> 01:13:09,800
Speaker 1: have a these shares. The compound interest, man, is just like,

1076
01:13:10,720 --> 01:13:13,880
Speaker 1: I can't even tell you that's where you really make

1077
01:13:13,920 --> 01:13:18,960
Speaker 1: your money. You gotta divest, you gotta invest, you gotta

1078
01:13:19,040 --> 01:13:22,320
Speaker 1: like fold it. You win to fold it. You gotta

1079
01:13:22,439 --> 01:13:25,360
Speaker 1: no win to fold it and no win to hold it.

1080
01:13:25,600 --> 01:13:29,400
Speaker 1: That's the tricky part, is like people think it's knowing

1081
01:13:29,479 --> 01:13:31,640
Speaker 1: when to fold it, which is the tricky part. It's

1082
01:13:31,640 --> 01:13:34,760
Speaker 1: actually knowing when to hold it. It's the holding. It's

1083
01:13:34,800 --> 01:13:40,800
Speaker 1: the holding. We have so many holdings. Anyways, Um, so hey,

1084
01:13:40,920 --> 01:13:43,479
Speaker 1: you know what, here's the end of the podcast now.

1085
01:13:43,600 --> 01:13:48,360
Speaker 1: But Adam, thank you so much for joining. It was

1086
01:13:48,400 --> 01:13:51,880
Speaker 1: great to see you too. Just all the it's like, man,

1087
01:13:52,240 --> 01:13:55,240
Speaker 1: your um, I miss you too, man, And it's like

1088
01:13:55,280 --> 01:13:57,840
Speaker 1: this is my secret ploy where it's like, ha, be

1089
01:13:57,960 --> 01:14:01,000
Speaker 1: on my podcast now, you have to be with me.

1090
01:14:01,680 --> 01:14:05,759
Speaker 1: Now we have to be friendly for about an hour. Honestly,

1091
01:14:05,800 --> 01:14:07,679
Speaker 1: I feel like that's how most of our friendships work

1092
01:14:07,720 --> 01:14:10,960
Speaker 1: now and pretty much pretty much. How can I monetize

1093
01:14:11,000 --> 01:14:15,240
Speaker 1: this friendship? Hey, we've all we've all accepted the brain

1094
01:14:15,320 --> 01:14:18,800
Speaker 1: virus and are doing We're all doing well. All of

1095
01:14:18,880 --> 01:14:22,519
Speaker 1: us are doing well. So it's nice. It's exchanging labor

1096
01:14:22,640 --> 01:14:26,760
Speaker 1: with you. It really is. So where can people find you?

1097
01:14:27,439 --> 01:14:31,080
Speaker 1: Thank you for asking. So my my primary podcast that

1098
01:14:31,160 --> 01:14:33,160
Speaker 1: I do with Michael Swain is on the I Heart

1099
01:14:33,160 --> 01:14:35,880
Speaker 1: network and you mentioned it earlier. It's one upsmanship. It

1100
01:14:36,000 --> 01:14:39,160
Speaker 1: is about video games, where we decide which video games

1101
01:14:39,200 --> 01:14:43,519
Speaker 1: deserved to be preserved for aliens on a celestial hard drive.

1102
01:14:44,439 --> 01:14:49,760
Speaker 1: Uh so check that out. Space Space, that's it, that's it.

1103
01:14:49,920 --> 01:14:52,479
Speaker 1: We can make the case. You can make the space.

1104
01:14:52,920 --> 01:14:56,040
Speaker 1: I got it in a cereal box. That should be

1105
01:14:56,080 --> 01:14:58,320
Speaker 1: a new deep song for us. I had a couple

1106
01:14:58,400 --> 01:15:00,679
Speaker 1: other podcasts for those of you who are just enamored

1107
01:15:00,720 --> 01:15:03,720
Speaker 1: with my voice. I talk about movies and the art

1108
01:15:03,720 --> 01:15:07,280
Speaker 1: of directing and sharing media with your friends. And also

1109
01:15:07,479 --> 01:15:10,280
Speaker 1: we have a new podcast about the multiverse. All of

1110
01:15:10,320 --> 01:15:12,640
Speaker 1: that is over on the small Beans Patreon, which is

1111
01:15:12,640 --> 01:15:16,320
Speaker 1: patreon dot com forward slash small Beans. Go check it out.

1112
01:15:16,439 --> 01:15:18,920
Speaker 1: We'd love to we'd love for you to hear some

1113
01:15:19,000 --> 01:15:20,759
Speaker 1: of that stuff. And if you feel like it tosses

1114
01:15:20,800 --> 01:15:23,280
Speaker 1: a buck or two, which should be grateful, do it.

1115
01:15:24,120 --> 01:15:28,320
Speaker 1: Do it um and they do. Take creature cache. That's

1116
01:15:28,320 --> 01:15:33,000
Speaker 1: our primary that's our primary currency. It's very it's very

1117
01:15:33,080 --> 01:15:36,920
Speaker 1: secure because when you get a creature cache, what you're

1118
01:15:36,960 --> 01:15:40,320
Speaker 1: getting is like a handwritten note from me with a

1119
01:15:40,320 --> 01:15:44,759
Speaker 1: little smiling face that like this is indicative of one creature.

1120
01:15:45,560 --> 01:15:49,519
Speaker 1: That's right, that this indicates a creature cache. Uh, it's

1121
01:15:49,560 --> 01:15:52,720
Speaker 1: also a smiling Protozola and as we agree with thettle

1122
01:15:53,160 --> 01:15:56,559
Speaker 1: winky base right, it's a kind of mitochondria for a grid.

1123
01:15:56,640 --> 01:16:00,200
Speaker 1: One of its Floodgella is giving a thumbs up. That's it.

1124
01:16:04,920 --> 01:16:08,320
Speaker 1: Thank you guys so much for listening, um, and investing

1125
01:16:08,320 --> 01:16:11,760
Speaker 1: in my pyramid scheme. If you're enjoying the show and

1126
01:16:11,800 --> 01:16:13,960
Speaker 1: you want to leave a comment, even if it's like

1127
01:16:14,120 --> 01:16:20,559
Speaker 1: to um, get mad at me for my financial stands, Um, yeah,

1128
01:16:20,720 --> 01:16:22,720
Speaker 1: do that because it actually really helps. I read all

1129
01:16:22,720 --> 01:16:26,120
Speaker 1: the comments. I really enjoy them. And uh, it's also

1130
01:16:26,280 --> 01:16:30,760
Speaker 1: I'm gonna be great with you. It's the algorithm loves that.

1131
01:16:31,120 --> 01:16:34,280
Speaker 1: It just eats that right up. It's like a comment. Huh,

1132
01:16:34,360 --> 01:16:38,040
Speaker 1: this must be a good podcast. Um, and we must

1133
01:16:38,040 --> 01:16:45,120
Speaker 1: all obey the algorithm. You know. Really, it's truly is.

1134
01:16:45,880 --> 01:16:49,000
Speaker 1: It's not even a joke. Um. And hey, thank you

1135
01:16:49,040 --> 01:16:52,160
Speaker 1: to the space Cossics for their super awesome song. Ex

1136
01:16:52,240 --> 01:16:55,960
Speaker 1: Alumina Creature features a production of I Heart Radio. For

1137
01:16:56,240 --> 01:16:58,920
Speaker 1: more podcasts like the one you just heard, visit the

1138
01:16:58,960 --> 01:17:01,439
Speaker 1: I Heart Radio app app podcasts or hey guess what

1139
01:17:01,960 --> 01:17:06,160
Speaker 1: wherever you listen to your favorite shows. I'm gonna be

1140
01:17:06,240 --> 01:17:08,640
Speaker 1: honest with you, don't care whatever you want, listen to

1141
01:17:08,680 --> 01:17:11,880
Speaker 1: wherever you want. You know what, I'm a free thinker.

1142
01:17:12,479 --> 01:17:17,000
Speaker 1: See you next Wednesday.