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Speaker 1: Hey, everybody, Welcome to Creature feature, the show where we

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Speaker 1: dive into the brains of humans and animals and discover

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Speaker 1: that even though we may seem different on the inside,

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Speaker 1: we're just a bunch of pink goo. I'm your host,

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Speaker 1: Katie Golden. I studied psychology and evolutionary biology. And did

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Speaker 1: you know that if you say my last name really fast,

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Speaker 1: it sounds like gullible? No, it doesn't, that's a trick. Yes,

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Speaker 1: Today we're talking about getting bamboozled, pulling Shenanigan's, having the

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Speaker 1: wool pulled over your eyes, getting can by caterpillars, and

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Speaker 1: hoaxed by horses. So first we're going to talk about

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Speaker 1: sexy scams. Pandas are notoriously bad at sex. Male pandas

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Speaker 1: are terrible at knowing when a female is in the

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Speaker 1: mood for sex, and even if they do happen to

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Speaker 1: make it to third base, they have no idea what

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Speaker 1: to do next. And the wild females have their pick

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Speaker 1: of the litter. They can select a mate from a

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Speaker 1: group of males, but in captivity there's limited options, so

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Speaker 1: mating is often awkward and unsuccessful. Animal care takes are

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Speaker 1: taking a novel approach their bamboos, holding these pandas into

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Speaker 1: getting good at sex. The Shingdo Panda Breeding and Research

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Speaker 1: Center in Sichuan, China tricks male pandas into doing sexercize,

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Speaker 1: getting up on their hind legs and working out their

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Speaker 1: pelvic muscles by holding an apple just out of reach.

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Speaker 1: Apple hungry pandas don't realize that as they wobble on

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Speaker 1: their hind legs trying to get a bite of that

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Speaker 1: sweet fruit, they're really working out their hips to be

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Speaker 1: better at making them moves on a DTF female. This

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Speaker 1: is one of the very few, if only, examples of

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Speaker 1: one species tricking another species into being better at mating.

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Speaker 1: And it's probably because we humans are a bunch of weirdos.

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Speaker 1: But when you explore the animal kingdom, you'll find a

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Speaker 1: great deal of sexual bamboozles. Amongst these perverted connartist creatures.

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Speaker 1: Joining me today is actress, comedian Daily Zeygeister and host

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Speaker 1: of the show Scam Goddess Lacey Mosley. Hey, welcome, Thank

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Speaker 1: you for having me. Of course, uh ill of that

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Speaker 1: these pandas all they wanted was an apple, and they

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Speaker 1: got tricked into being really great at grinding. If only

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Speaker 1: we could do this for real mint, I know, I know,

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Speaker 1: just like dangle talco just out of right, and they're

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Speaker 1: like trying to get a taco like the football. You

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Speaker 1: can watch football, but it has to be up this

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Speaker 1: high and you have to stand here eat this popsicle

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Speaker 1: wide not reason, Oh my goodness. But that's also so

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Speaker 1: it's just making them better at thrusting. How do they

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Speaker 1: get them to like engage with the females. Isn't that

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Speaker 1: the problem that they don't even know they're like, it's

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Speaker 1: a good question. I feel like it's to make it

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Speaker 1: so that when they do happen to under like the

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Speaker 1: female is literally saying like come get this vagina please,

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Speaker 1: and the males are like okay, then they kind of

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Speaker 1: know what to do because otherwise they're just not in

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Speaker 1: the habit of using their pelvis. I guess, so they

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Speaker 1: would just like land on top of them, like is

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Speaker 1: it happening, We're doing it right, you're fueling it? Is

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Speaker 1: this good for you? Oh? Pandas uh, So I want

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Speaker 1: to take you on a trip to Deception Island, which

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Speaker 1: is a real voice okay, yes, so it's named Deception

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Speaker 1: Island because it looks like a normal island. But it's

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Speaker 1: actually a caldera, which is a ring around an active volcano.

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Speaker 1: So it's like it looks like solid land, but then

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Speaker 1: if you get in, it's just this ring of islands

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Speaker 1: and then ocean. So is it like when those volcanoes

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Speaker 1: like robbed and then they make those ocean islands. It's

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Speaker 1: like one of those islands. Oh yeah, there's like nothing

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Speaker 1: on those. Well this one actually has things on it,

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Speaker 1: and it's got kind of funny and in silly history,

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Speaker 1: um so, various countries have tried to declare it belongs

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Speaker 1: to them. Um So, in UM two and argentinean exploratory

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Speaker 1: party came to Deception Island and they just left signs

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Speaker 1: and painted flags marking the territory as being Argentinia. I

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Speaker 1: mean that's normally how used to work that way. I mean,

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Speaker 1: that's what we did on the Moon, right, right, if

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Speaker 1: we went to the Moon. I mean that's true, when

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Speaker 1: we pretended to go to the Moon, we just put

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Speaker 1: a flag there and we're like, I guess it's American USA. Yeah,

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Speaker 1: we put the flag here. I mean that's north. Like

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Speaker 1: that's really like back in the day. I truly don't

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Speaker 1: know how anyone owns land land owning is a scam

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Speaker 1: and it still is a scam. It was like whoever

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Speaker 1: got there first, or like whoever killed everyone? That's how

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Speaker 1: you got it? Well, like I did you just hear

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Speaker 1: the thing where Trump was talking about how he kind

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Speaker 1: of wanted to buy Greenland. No, he said so many

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Speaker 1: crazy things that he does, but it was one of

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Speaker 1: those things where I'm like, wait, how do you buy

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Speaker 1: a country? And then I was like wait, how do

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Speaker 1: people get countries in the first place other than just

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Speaker 1: like war and like yep. It was like people got together,

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Speaker 1: like we're going to decide that this is I mean,

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Speaker 1: that's what happened to America. America had people on it

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Speaker 1: that Native Americans and Columbus came and stuck a flag out. Look,

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Speaker 1: I discovered it, dude, No, I discovered it. We're here.

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Speaker 1: What about No, No, don't see anything, don't hear anything.

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Speaker 1: La la la la la, this is my land. Now.

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Speaker 1: That's how Thanksgiving happened. About the story we get so

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Speaker 1: a year later after the Argentinean ship like just put

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Speaker 1: some flags in. They're like it's ours now, right, yeah,

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Speaker 1: like a British ship being extremely petty in British returned

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Speaker 1: and just like removed the signs and the flags and

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Speaker 1: they're like, nope, it's British again. Um, so they owned

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Speaker 1: it in the first place. I don't know. I mean no,

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Speaker 1: I don't think anyone really owned it. I think it's

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Speaker 1: under some kind of like shared Antarctic territory treaty. Um.

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Speaker 1: And then in the nineties sixties the volcano became active

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Speaker 1: again and it destroyed British and Chilean scientific stations. So

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Speaker 1: they kind of gived up, like they gave up on

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Speaker 1: like trying to decide who owned it because it's like, oh,

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Speaker 1: it's full of lava. No, no, you can have it

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Speaker 1: Argentina and you can have a great Britain keep ant

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Speaker 1: taxes on it. That right, Argentina got a good deal

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Speaker 1: out of that. Then. Well, the best part about Deception

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Speaker 1: Island is it's home to chin strap penguins, which are

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Speaker 1: cute little penguins who they themselves are little deceivers living

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Speaker 1: on Deception Island? Is it? Okay? They were, Well they're penguins. Wait,

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Speaker 1: so it's cold there, so it's an act of antarctic Yeah,

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Speaker 1: it or near an antarctic. So the chin strap penguins

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Speaker 1: and penguins in general have what's called counter shading. So

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Speaker 1: you may wonder, like why would you be uh so

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Speaker 1: like like where those little tuxedos if you want to

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Speaker 1: like blend in and be noticed, um, But by being

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Speaker 1: darker on the top and lighter on the bottom, they

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Speaker 1: actually appear flat in one dimensional from the top and

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Speaker 1: from the bottoms. So like if they're swimming, uh, and

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Speaker 1: the leopard seals or whatever it's hunting them, you know

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Speaker 1: they will appear just flat. So if I want to

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Speaker 1: avoid like shark attacks, like I should swim in a tuxedo. Yes,

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Speaker 1: that is h that is true. Everyone in Florida should

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Speaker 1: be on the beach in a TUXI should wear you

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Speaker 1: should wear it like a but like a texedo, um wetsuit.

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Speaker 1: So like James Bond, Yeah, doesn't James. Isn't that what

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Speaker 1: James Bond does? He like has a tuxedo under his

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Speaker 1: wetsuit right like he like swims ashore and his wet

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Speaker 1: suiting takes it off. It's just a TEXI am I

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Speaker 1: imagining that? Or was that in like or was that

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Speaker 1: in like Austin Powers And I just feel like I

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Speaker 1: don't know, I truly don't know, that's a good question.

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Speaker 1: It's it's a funny concept though, Like I guess so

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Speaker 1: if you seem flat, then animals are like, I don't

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Speaker 1: want that because it's flat. Like because so normal three

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Speaker 1: dimensional object, like when you have a sphere, it's like

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Speaker 1: it's you see the highlight on the top because the

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Speaker 1: sun is hitting it, and then like it's shaded towards

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Speaker 1: the bottom. So then that's how like you you can

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Speaker 1: tell like, oh, this is a three dimensional object. This

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Speaker 1: is a ball, and then like if you're an animal

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Speaker 1: approaching from above or blow especially in water, it's like, okay,

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Speaker 1: this is an object that is three dimensional and therefore

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Speaker 1: I can put it in my mouth. Um. So like

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Speaker 1: if it's flat and you can't do it, yeah, you're not.

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Speaker 1: It's not like signaling because like if you just see

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Speaker 1: like an advertisement for like a hamburger, you don't try. Well,

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Speaker 1: most people don't. I sometimes give it a lick just

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Speaker 1: in case, just in case that they've like Willy Wonka asked, taste. Yeah,

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Speaker 1: that's right. Wait, did they have scratching licks? I didn't

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Speaker 1: know that. I don't think they we were licking. We

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Speaker 1: were like with those markers where it was sniff, but

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Speaker 1: they little bit like grapes. It's never tasted like grapes,

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Speaker 1: but it felt like grapes too after a while. Yeah,

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Speaker 1: i'fter sniffing it long enough, everything everything feels like grapes. Yeah.

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Speaker 1: So um. Here's another fun instance of this time. The

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Speaker 1: chin strap penguins were the were the bamboozled Party. So

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Speaker 1: in two thousand four, Roy and Silo, two male chin

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Speaker 1: strap penguins at the Central Park Zoo. Um. They were

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Speaker 1: famous for being a couple. Um, and they were both males,

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Speaker 1: so they couldn't conceive naturally, so they adopted a rock

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Speaker 1: thinking that it was an egg. Um, so they kept

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Speaker 1: trying to hatch it like sat on the rock and

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Speaker 1: they were totally fooled by this. So sweet and so sad.

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Speaker 1: I know, the penguin community won't let the gay penguin,

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Speaker 1: why can't they adopt another person's egg. Well, the zoo

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Speaker 1: keepers actually ended up replacing the rock with a fertile egg,

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Speaker 1: and the couple hatched it enraged raised the chick ah,

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Speaker 1: that's beautiful. I bet they raised it to be some

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Speaker 1: kind of deviant penguin to see see why can't p

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Speaker 1: will be really like this was in two thousand and

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Speaker 1: four too, So it's like, I feel like the zookeepers

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Speaker 1: were better at being nice to the penguin than like

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Speaker 1: penguins more rights than gay people. Ah, that is unfortunate. Um.

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Speaker 1: And then one more little bamboos all that these chin

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Speaker 1: strap penguins like to do. And we've actually talked about

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Speaker 1: this a bit on the show about the Adelaide penguins

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Speaker 1: who also do this. Um. So they create their nests

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Speaker 1: out of pebbles because like I don't know, in Antarctic

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Speaker 1: or on this on Deception Island, there's not much to

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Speaker 1: work with volcanic you're gonna be sleeping on rocks. So

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Speaker 1: they will steal pebbles from each other while they're not

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Speaker 1: looking to make their nests better. And we actually, I

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Speaker 1: think we talked about this on the first or second episode,

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Speaker 1: but this is a kind of new update where researchers

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Speaker 1: have found that while both males and females will make

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Speaker 1: nests and they'll both steal from each other, in these

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Speaker 1: chin strap popular Aians, the males are bigger assholes. Um,

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Speaker 1: I mean, duh, But so males are more active in

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Speaker 1: stealing stones, they're more aggressive when defending their nests, and

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Speaker 1: they use larger stones because they're probably compensating, right, a

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Speaker 1: large stone penguin anything compensating for a bad career. Uh.

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Speaker 1: And then females are more likely to have their rocks stolen.

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Speaker 1: So I know, so y'all are stealing from the weaker.

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Speaker 1: Second to I have to bring feminism to penguin. I

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Speaker 1: mean they already got gay rights. I don't know. And

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Speaker 1: if the whole island is made up of pebbles, like

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Speaker 1: why I think you're stealing specifically from people to be

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Speaker 1: petty because it's like you're just get pebbles that aren't well.

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Speaker 1: I think the researchers also found that if you if

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Speaker 1: you have more rocks around your nest, and the more rocks,

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Speaker 1: I think the better because it keeps the eggs um

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Speaker 1: warmer because it like elevates a little bit off of

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Speaker 1: the cold ground um. And so like there's just natural

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Speaker 1: like stone loss over time because of weather or penguins

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Speaker 1: or like people running around, well it's not people, but

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Speaker 1: penguins running around and ars like playing tugo war with

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Speaker 1: a flag saying no it's miling, No, it's milan um.

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Speaker 1: So if you have more rocks to begin with I

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Speaker 1: think you're just in a better place like as as

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Speaker 1: you start to lose rocks um later on. So there's

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Speaker 1: a motivation to steal um. But you know, it's probably

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Speaker 1: also a little bit of pettiness where it's like because like,

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Speaker 1: why go out and get your own rock when you

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Speaker 1: can just like steal rocks from your neighbor. That's true

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Speaker 1: if your neighbor is like right next door, we don't

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Speaker 1: have to go to the shore line. Yeah. And also

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Speaker 1: like equal pay, you know, women who aren't making as much.

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Speaker 1: That's true for every like like twelve rocks the male

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Speaker 1: penguins make the females make like six and a half.

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Speaker 1: I don't actually know you were going I was believing it. Yeah,

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Speaker 1: I'm not. I'm not a good feminist, especially not a

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Speaker 1: good penguin feminist. Uh So, next, I want to talk

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Speaker 1: about gelatas, which sounds delicious, but it's uh it sounds

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Speaker 1: like gelato and I want gelata now, but it's not. So.

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Speaker 1: These are species of Old world monkey. They're found in

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Speaker 1: the Ethiopian highlands. They kind of look like baboons, but

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Speaker 1: they're just close relatives um there. But they have that

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Speaker 1: but they have that nice but Um, they're also called

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Speaker 1: bleeding heart monkeys because they have a red patch on

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Speaker 1: their chest. Um. But there's also this is not the

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Speaker 1: reason they're called that, but it seems to also make

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Speaker 1: sense because they will sometimes cheat on each other and

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Speaker 1: then get mad about it. Um. So they have an

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Speaker 1: actually super complex social structure that is hard for me

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Speaker 1: to wrap my head around. Um. They form multi level societies. Uh.

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Speaker 1: The smallest unit of their societies are reproductive units. It's

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Speaker 1: just like a sex club where it's like, uh, um,

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Speaker 1: it's like a dozen or so females and three or

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Speaker 1: four males. Usually only one of the males is mating

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Speaker 1: with the females um at once. So it's like a

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Speaker 1: orgy yeah yeah, but it's like an orgy organization or

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Speaker 1: georg um. And then the next step of gelata society

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Speaker 1: is the bands, and they're made up of about thirty

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Speaker 1: reproductive units. So it's like a bunch of these sex

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Speaker 1: clubs come together for like a convention sex emporia, and

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Speaker 1: there are herds that are like temporary convoys made up

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Speaker 1: of these reports sex cloud right more like so the

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Speaker 1: basic structure sex road trip fucking. Right. Then it's like

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Speaker 1: how big? How big? Is the level of fucking right right, right?

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Speaker 1: So are you in like a small country town. We've

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Speaker 1: got three horses, that's all we're fucking. And then you know,

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Speaker 1: it grows into like a Metropolitans say like, where's the

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Speaker 1: where's the l a of Like, I mean, are we

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Speaker 1: so different? Every like? Are you know? It's just more

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Speaker 1: people in a place having sex or less. You know,

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Speaker 1: like the difference between a librarian and in and out

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Speaker 1: is the number of people having said Yeah, so let's

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Speaker 1: focus back on that little that smallest unit, which is

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Speaker 1: the little sex club of like a dozen females and

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Speaker 1: one to four males, and then one of the males

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Speaker 1: is supposed to be the only one reproducing. Um, even

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Speaker 1: though that's supposed to be the case. I mean, you know,

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Speaker 1: they like to cheat, so uh, sometimes they will cheat

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Speaker 1: on him with another male, which I mean, come on,

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Speaker 1: he's already got like twelve females. That's double standards, like

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Speaker 1: you women, right, Um, So these cheating pairs have been

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Speaker 1: studied in these observations, you know, like scientists just out

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Speaker 1: there watching these Uh gelata is just fucking science is

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Speaker 1: science for science? Um? So often gelattes will vocalize while mating,

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Speaker 1: like making like happy noises like oh yeah yeah yeah

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Speaker 1: yeah yeah this yeah yeah goal. Um. So while they're cheating,

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Speaker 1: they actually keep those sex moons to a minimum so

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Speaker 1: they're more quiet. Um. So they just they just like

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Speaker 1: they're just like, yes, yes, I find this quite this,

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Speaker 1: this is quite enjoyable. Yes right there and also there

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Speaker 1: and in addition there yeah good day wow. So they

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Speaker 1: know they're doing something yeah. Um. And if they're caught,

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Speaker 1: the the mail that got cheated on will get really

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Speaker 1: mad and throw a fet and like attack them and yeah,

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Speaker 1: just like a real soap opera going on. Um, now

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Speaker 1: when they get caught Like, I wonder is there someone

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Speaker 1: telling them that that's so interesting? I don't. I don't

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Speaker 1: feel like they just happened upon it, like they were

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Speaker 1: going behind a tree, like like wait a minute, there's

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Speaker 1: just like a trail of like clothes and shoes. Um.

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Speaker 1: So the society may kind of seem unfair to females

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Speaker 1: at first, but sort of like how lions, it's like

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Speaker 1: seen as like oh these are um, you know, patriarchy.

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Speaker 1: It's actually in some ways more of a matriarchy, which

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Speaker 1: is surprising. So females can basically elect their sex mayor

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Speaker 1: by um. So, males will sometimes try to take over

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Speaker 1: like a little sex group. Um And if the females

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Speaker 1: like their sex mayor who gets to mate with him,

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Speaker 1: then they'll support him and they'll fight off the other male.

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Speaker 1: But if he's doing a bad job at being mayor

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Speaker 1: of sex, they'll be like, no, dude, you're out office,

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Speaker 1: that's packed up, and then that comes along. But how

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Speaker 1: do you know if the new guy is going to

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Speaker 1: be good at sex? Or is it just like, well,

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Speaker 1: we don't like our old guy. I guess gamble on

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Speaker 1: pretty much. Yeah, I know he could never find a

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Speaker 1: clid and we just retired, right, And like some males

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Speaker 1: will typically assert their dominance not by violence but by

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Speaker 1: occurring favor with the females by grooming them. So if

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Speaker 1: he's like really bad at it, then I imagine they're like, well,

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Speaker 1: we're gonna try this new guy because you suck. Yeah,

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Speaker 1: you were never really had charming. We were like yo jokes,

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Speaker 1: but really, what I mean it was I was faking.

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Speaker 1: I was faking it. I was taking those sex screams.

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Speaker 1: Um So, now we're gonna go onto some more dastardly

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Speaker 1: sex capades. Um So, fireflies are pretty spectacular and romantic.

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Speaker 1: Like I always like, you know, in romance, you're like

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Speaker 1: you want to kiss in a field of fire flies,

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Speaker 1: except you don't because then there's probably mosquitoes around and

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Speaker 1: hitting the fun up and catching flireflies something kill them,

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Speaker 1: Like what you're doing a jar full of fireflies that

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Speaker 1: are dead in the morning, childhood. Um, So they'll flash

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Speaker 1: their luminous butts at each other to attract mates and

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Speaker 1: like in a sort of sex morse code to be

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Speaker 1: like you know b B B b B, which is

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Speaker 1: like Netflix and Chill. Um, Now what is is it

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Speaker 1: like Amazon Prime and Chill? Have we moved on from

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Speaker 1: Netflix and Chill? No, because Amazon Prime doesn't. The thing

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Speaker 1: about Netflix is it has that like automatic like so

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Speaker 1: because like you don't have to be like you're know,

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Speaker 1: like in the middle of like you know, getting the

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Speaker 1: cheeks clapped, and then it's like are you still watching

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Speaker 1: so you can like binge watch the Good Place while

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Speaker 1: having sex. Yes, yes, and it'll stay on for at

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Speaker 1: least four hours. Yeah, just like just love that ted

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Speaker 1: Dance right now that probably think it goes back to

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Speaker 1: the home screen and next thing you no, you're just

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Speaker 1: looking at I don't know landscapes. Yeah, because like if

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Speaker 1: you don't want to, you don't want to like have

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Speaker 1: sex and then have it go to the Great British

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Speaker 1: Bake Off, because I mean that show is great, but

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00:20:09,520 --> 00:20:13,200
Speaker 1: it is the anti aphrodisiac. Yeah, right, exactly, you needed

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Speaker 1: to keep playing whatever movie or whatever series that you're watching,

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Speaker 1: especially if you have roommates, right right, wait, what would

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Speaker 1: the roommates would suspect something off? Like if I think

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Speaker 1: they probably start hearing sex noises if I live alone now,

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Speaker 1: thank god, but I think they start hearing the sex noises.

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Speaker 1: All right, so you kind of needed as kind of

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Speaker 1: a scrambling right right, right, But if it's like if

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Speaker 1: there's that, it's sort of like when there's that dead

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Speaker 1: air and then like the screen goes black and then

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Speaker 1: you just see yourself like oh yeah, also, do you

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Speaker 1: want to see your own reflection of you? It's gonna

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Speaker 1: be because it's not gonna be like important, It's gonna

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Speaker 1: be extremely unflattering. It's gonna be your your butt in

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Speaker 1: a way you've never seen it before. That is not becoming. Uh,

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Speaker 1: it doesn't all look like that's how I imagine I look,

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Speaker 1: you know, for years. I didn't know that people were

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Speaker 1: having sex with the lights off. I was having sex

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Speaker 1: with the lights on all like, oh god, I'm having

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Speaker 1: sex with this new guy. I gotta I can my

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Speaker 1: poses together. Okay, Well, speaking of sex with the lights on? Uh,

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Speaker 1: these fireflies uh, so they do their little beef their

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Speaker 1: butts do the flashing lights. Uh. And then but there's

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Speaker 1: a serial killer living amongst these innocent fireflies, who's all

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Speaker 1: they want to do is have sex with each other.

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Speaker 1: So photerus firefly females are called the fim fatales of

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Speaker 1: the fireflies. The woman whom snap women. Have you seen

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Speaker 1: the ads for that? Like like like why do women kill? Yes?

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Speaker 1: I feel like because they want to get it girl

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Speaker 1: kill those people? Yes, I actually no curb literally sla

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Speaker 1: it's literally slag. So they live in North America. Um.

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Speaker 1: They mimic the flashing pattern of firefly females of other species,

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Speaker 1: so they're like deeping with their their shiny butts. Like, hey,

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Speaker 1: I would like to have sex. Come over here now,

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00:22:11,520 --> 00:22:13,879
Speaker 1: I would like to have sex as well, like a

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Speaker 1: little NiFe and the male fireflies like what's the knife emoji?

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00:22:19,000 --> 00:22:25,600
Speaker 1: Because of how sharp art sex will be, you know

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00:22:26,560 --> 00:22:32,080
Speaker 1: that's a funny story. Uh. So when the mail comes

380
00:22:32,160 --> 00:22:35,160
Speaker 1: over ready to bone, then the photorists will just eat them,

381
00:22:35,280 --> 00:22:40,240
Speaker 1: just be like, hey, thanks for showing up, munch, give

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Speaker 1: me dick forest like the black woodows. And then she's like, okay,

383
00:22:44,760 --> 00:22:47,399
Speaker 1: now you die right right right? Which is uh you know,

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00:22:47,440 --> 00:22:49,960
Speaker 1: like with spiders and mantis is at least they actually

385
00:22:50,080 --> 00:22:53,760
Speaker 1: do have sex. But this the mail gets literally nothing

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00:22:53,800 --> 00:22:58,800
Speaker 1: except death love it. So this is a form of

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00:22:58,840 --> 00:23:02,480
Speaker 1: aggressive mimicries. Mimicry comes in many different forms. We'll talk

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Speaker 1: more about it later, but aggressive mimicry is when it's

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Speaker 1: a predator or a parasite using the mimicry to attack

390
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Speaker 1: their target. Um so uh, but the them fatil fireflight

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Speaker 1: in her defense, has a really good reason to do this. Um.

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Speaker 1: First of all, have you ever like had the like

393
00:23:21,600 --> 00:23:23,960
Speaker 1: tender dates where it's just they're super annoying and they're

394
00:23:24,000 --> 00:23:27,919
Speaker 1: always like sending you weird pickup lines or like weird erotica.

395
00:23:28,560 --> 00:23:32,440
Speaker 1: You know, I haven't had any of that. No one

396
00:23:32,480 --> 00:23:35,600
Speaker 1: has ever sent me a penis picture unsolicited. I don't know, really,

397
00:23:35,640 --> 00:23:37,239
Speaker 1: Maybe I have a face that says I don't want

398
00:23:37,240 --> 00:23:40,199
Speaker 1: to see your penut. I actually have not gotten that

399
00:23:40,240 --> 00:23:44,840
Speaker 1: many Dick pics, and I'm partially happy, mostly happy. A

400
00:23:44,880 --> 00:23:47,320
Speaker 1: tiny bit of me is offended, right, I know, I'm

401
00:23:47,320 --> 00:23:50,320
Speaker 1: actually I want to know before I go. I wanna

402
00:23:50,359 --> 00:23:53,800
Speaker 1: know before we eat a Mealup, I have explicitly asked

403
00:23:53,840 --> 00:23:57,159
Speaker 1: for Dick Dick pick picks. So Addictic is a tiny antelope.

404
00:23:57,160 --> 00:24:00,600
Speaker 1: It's very cute, and nobody sent me one, so I

405
00:24:00,640 --> 00:24:04,200
Speaker 1: don't know, I don't know, Please send me tiny ante.

406
00:24:04,560 --> 00:24:07,879
Speaker 1: So she also like, isn't this kind of cannibalism because

407
00:24:07,880 --> 00:24:11,080
Speaker 1: she's a firefly like a different species, but they don't

408
00:24:11,119 --> 00:24:16,480
Speaker 1: eat like I don't know. Well, um, well, so this

409
00:24:16,520 --> 00:24:20,720
Speaker 1: one is carnivorous um and uh it also has a

410
00:24:20,800 --> 00:24:24,440
Speaker 1: really good reason for eating them, other than because they're annoying. Uh.

411
00:24:24,520 --> 00:24:27,280
Speaker 1: So she sucks the juices out of them, and these

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00:24:27,359 --> 00:24:31,400
Speaker 1: juices have chemicals that are essential for her self defense.

413
00:24:31,840 --> 00:24:35,879
Speaker 1: So when attacked by predators, fireflies release droplets of blood

414
00:24:35,920 --> 00:24:42,160
Speaker 1: containing luci boufagins. I don't know, you've tried. You try

415
00:24:42,200 --> 00:24:47,320
Speaker 1: to you try to pronounce it lucid lucibouf agins. That

416
00:24:47,359 --> 00:24:51,160
Speaker 1: sounds better than what I said, but still wrong. So

417
00:24:51,480 --> 00:24:57,879
Speaker 1: these lucibith figgins deter spiders and birds. They're like unpalatable

418
00:24:58,040 --> 00:25:02,920
Speaker 1: and the killer female fireflies don't produce their own lucibithigans,

419
00:25:03,280 --> 00:25:07,320
Speaker 1: so she eats hapless, sex hungry males of the actual

420
00:25:07,359 --> 00:25:10,160
Speaker 1: species who do produce it, so that she can suck

421
00:25:10,200 --> 00:25:15,560
Speaker 1: out those sweet lucibithagans. Makes sense, means them, she needs them,

422
00:25:15,600 --> 00:25:17,960
Speaker 1: She needs them, maybe have everything. Of course, they just

423
00:25:17,960 --> 00:25:20,560
Speaker 1: aren't floored with the defense stuff, and we have to,

424
00:25:20,600 --> 00:25:23,639
Speaker 1: like exactly, we have to literally suck it out of

425
00:25:23,680 --> 00:25:32,800
Speaker 1: men so selfish. So fireflies aren't the only animals out

426
00:25:32,800 --> 00:25:35,760
Speaker 1: there who get preyed upon by a sexy seductor. Humans

427
00:25:35,760 --> 00:25:38,560
Speaker 1: are often the victims of romance scammers, people who go

428
00:25:38,600 --> 00:25:41,280
Speaker 1: online and pretend to be some hot guy from Italy

429
00:25:41,320 --> 00:25:44,160
Speaker 1: who just needs five hundred dollars for that plane ticket

430
00:25:44,240 --> 00:25:47,520
Speaker 1: to visit you. Researchers looked into the issue of romance

431
00:25:47,600 --> 00:25:51,080
Speaker 1: scams and catfishing and found there are some shared personality

432
00:25:51,160 --> 00:25:54,919
Speaker 1: traits among those who get scammed. It's not just being gullible.

433
00:25:55,040 --> 00:25:57,520
Speaker 1: No matter how smart you are, you're always susceptible but

434
00:25:57,640 --> 00:25:59,920
Speaker 1: have been conned, especially if it taps into one of

435
00:26:00,080 --> 00:26:04,480
Speaker 1: your vulnerabilities. People who are targeted by romance scammers tended

436
00:26:04,520 --> 00:26:08,080
Speaker 1: to score higher on a romantic belief scale and believed

437
00:26:08,080 --> 00:26:11,000
Speaker 1: in things such as love finds a Way or love

438
00:26:11,040 --> 00:26:15,440
Speaker 1: at first sight and there was one true soulmate out there. So,

439
00:26:15,520 --> 00:26:17,760
Speaker 1: in other words, it's hard to blame the victims when

440
00:26:17,760 --> 00:26:20,080
Speaker 1: there's a bunch of rom coms out there hawking these

441
00:26:20,119 --> 00:26:23,040
Speaker 1: same ideas, teaching us that it's normal for some hot

442
00:26:23,080 --> 00:26:25,720
Speaker 1: Italian stranger to declare their love to us and fly

443
00:26:25,840 --> 00:26:28,720
Speaker 1: halfway across the world to meet us. One way to

444
00:26:28,800 --> 00:26:32,879
Speaker 1: inoculate yourself against scammers, maybe to become the scammer, at

445
00:26:32,960 --> 00:26:36,160
Speaker 1: least to pretend to become a scammer. When we get back,

446
00:26:36,200 --> 00:26:39,400
Speaker 1: we'll discuss how learning to impersonate can help both humans

447
00:26:39,440 --> 00:26:48,680
Speaker 1: and animals survive. I'm sure you've heard endless chatter about

448
00:26:48,800 --> 00:26:52,600
Speaker 1: fake news. Some news story or Twitter talks about fake news,

449
00:26:52,600 --> 00:26:55,160
Speaker 1: and then that story gets called out for being fake news,

450
00:26:55,440 --> 00:26:57,679
Speaker 1: and then there's such an endless back and forth between

451
00:26:57,800 --> 00:27:00,560
Speaker 1: people yelling fake news. How are you supposed to be

452
00:27:00,560 --> 00:27:03,200
Speaker 1: able to sift through what's real and what's fake. There

453
00:27:03,200 --> 00:27:06,199
Speaker 1: are fact checking websites out there, but they themselves may

454
00:27:06,240 --> 00:27:09,280
Speaker 1: have their own biases, and there's no fact checkers checking

455
00:27:09,320 --> 00:27:13,040
Speaker 1: the fact checkers. So instead of taking someone's else's word

456
00:27:13,119 --> 00:27:14,760
Speaker 1: for it, there may be a way for you to

457
00:27:14,800 --> 00:27:19,280
Speaker 1: become an expert propaganda and misinformation detector by becoming a

458
00:27:19,400 --> 00:27:24,040
Speaker 1: misinformation and propagandist. A University of Cambridge study created a

459
00:27:24,080 --> 00:27:27,480
Speaker 1: game where you become the propagandist. It introduces you and

460
00:27:27,520 --> 00:27:32,520
Speaker 1: teaches you how to master six techniques of spreading misinformation, polarization,

461
00:27:32,720 --> 00:27:37,879
Speaker 1: invoking emotions, spreading conspiracy theories, tralling people online, deflecting blame,

462
00:27:38,200 --> 00:27:41,520
Speaker 1: and impersonating fake accounts. Of course, this is not a

463
00:27:41,560 --> 00:27:44,639
Speaker 1: complete list of all the various ways that propaganda is spread,

464
00:27:44,880 --> 00:27:47,439
Speaker 1: but it's start. The goal of the game is to

465
00:27:47,480 --> 00:27:51,600
Speaker 1: gather followers and credibilities metrics which are programmed into the game.

466
00:27:52,000 --> 00:27:55,159
Speaker 1: The researchers found that participants who played the game became

467
00:27:55,200 --> 00:27:59,200
Speaker 1: better at identifying made up news headlines when tested. In fact,

468
00:27:59,240 --> 00:28:02,360
Speaker 1: the greatest improvement in skepticism was found amongst those who

469
00:28:02,359 --> 00:28:05,840
Speaker 1: were initially more gullible. This is very encouraging because it

470
00:28:05,880 --> 00:28:08,879
Speaker 1: means we can learn to become more savvy consumers of media.

471
00:28:09,400 --> 00:28:12,679
Speaker 1: Or maybe I just made up the soul study. Huh huh, No,

472
00:28:12,880 --> 00:28:15,879
Speaker 1: I didn't or did I know? I didn't? You can

473
00:28:15,920 --> 00:28:18,280
Speaker 1: look it up. It's by John rousen Beak and Sander

474
00:28:18,440 --> 00:28:22,000
Speaker 1: van der Linden, published in Paul Grave Communications five, article

475
00:28:22,080 --> 00:28:27,719
Speaker 1: number six two nineteen. Or was it that last name

476
00:28:27,760 --> 00:28:33,240
Speaker 1: sounded hell of fake? I know Sandra vander Linden. Sandra

477
00:28:33,320 --> 00:28:37,320
Speaker 1: vander Linen. Yeah, it's like like one of those like

478
00:28:37,440 --> 00:28:41,040
Speaker 1: Lisa and Bart pranks, Like like, I'm Sandra vander Linden.

479
00:28:42,320 --> 00:28:47,080
Speaker 1: Can I speak to seymore butts a study published in

480
00:28:48,840 --> 00:28:54,800
Speaker 1: the Journal of Buttology. No, that's legit though, that as

481
00:28:54,840 --> 00:28:57,040
Speaker 1: a scammer and I'm a professed SCAMMERA I tell me

482
00:28:57,040 --> 00:29:00,800
Speaker 1: why I've running small scams and cons um The more

483
00:29:00,840 --> 00:29:04,800
Speaker 1: you know about scams, the better you aren't identifying. Yeah,

484
00:29:04,800 --> 00:29:07,480
Speaker 1: because there's like tell tell signs that once you start

485
00:29:07,520 --> 00:29:09,800
Speaker 1: to get your finger on it, you're like, wait a minute,

486
00:29:10,120 --> 00:29:12,400
Speaker 1: Like because if you if you have long enough to think,

487
00:29:12,840 --> 00:29:15,480
Speaker 1: so what it is about gullibility to It is about

488
00:29:15,520 --> 00:29:18,040
Speaker 1: how desperate you are to want something, like if you

489
00:29:18,080 --> 00:29:21,320
Speaker 1: want it really badly. And three it's also sometimes about time,

490
00:29:21,480 --> 00:29:24,160
Speaker 1: like if someone catches you when you're like really sleepy,

491
00:29:24,320 --> 00:29:26,080
Speaker 1: or you're in a rush, or you don't have time

492
00:29:26,120 --> 00:29:28,560
Speaker 1: to really think about what they're saying to you, perfect

493
00:29:28,560 --> 00:29:31,200
Speaker 1: opportunity to scam, right, Which is kind of crazy because

494
00:29:31,240 --> 00:29:33,360
Speaker 1: that's when people read the news, like in the morning,

495
00:29:33,440 --> 00:29:35,840
Speaker 1: right before work, like when you're sort of in a rush,

496
00:29:35,960 --> 00:29:38,240
Speaker 1: or like if you're like checking Twitter, like when you're

497
00:29:38,280 --> 00:29:39,880
Speaker 1: on break and you don't have a lot of time

498
00:29:41,400 --> 00:29:44,720
Speaker 1: right right, right exactly, so you're not always on your

499
00:29:44,760 --> 00:29:46,840
Speaker 1: a game. So if there's like a news story that's

500
00:29:46,880 --> 00:29:52,240
Speaker 1: like you know, like birds aren't real, Like you're like, yeah, sure, okay, no, yeah,

501
00:29:52,320 --> 00:29:54,440
Speaker 1: actually on the news, girl I said, is not real.

502
00:29:56,720 --> 00:30:00,680
Speaker 1: Drones they're watching they're watching this girl. That's what they

503
00:30:00,680 --> 00:30:06,160
Speaker 1: said last night at eleven, Like sure, fine, I'll believe that. Also,

504
00:30:06,320 --> 00:30:10,200
Speaker 1: romance scams are like a hundred forty three million dollar industry,

505
00:30:10,400 --> 00:30:14,000
Speaker 1: are you kidding? So much money is made off romance

506
00:30:14,000 --> 00:30:16,800
Speaker 1: scams um, And a lot of it is because people

507
00:30:16,840 --> 00:30:19,440
Speaker 1: were just so lonely, and I think that's so sad,

508
00:30:19,520 --> 00:30:22,920
Speaker 1: it's really said. And they tend to skew older too, right, yes,

509
00:30:23,320 --> 00:30:27,440
Speaker 1: and also like but older and also younger, like young

510
00:30:28,040 --> 00:30:30,800
Speaker 1: women and men with a lot of disposable income, especially

511
00:30:30,840 --> 00:30:33,120
Speaker 1: like they're very susceptible because they know when you're younger,

512
00:30:33,160 --> 00:30:35,959
Speaker 1: Like I remember when I was nineteen, like people say

513
00:30:36,000 --> 00:30:38,040
Speaker 1: stuff to me. They made no sense. And it wasn't

514
00:30:38,080 --> 00:30:40,760
Speaker 1: until I became like an adult that I was like, oh,

515
00:30:41,960 --> 00:30:44,160
Speaker 1: or like my one of my ex boyfriends in college

516
00:30:44,200 --> 00:30:47,440
Speaker 1: had a whole sugar daddy, and I know something was off,

517
00:30:47,800 --> 00:30:49,880
Speaker 1: but he had a sugar daddy. It was like like,

518
00:30:49,880 --> 00:30:52,480
Speaker 1: like okay, So we went to school and our campus

519
00:30:52,640 --> 00:30:56,480
Speaker 1: was like ten minutes away from his internship, which was downtown.

520
00:30:57,240 --> 00:31:01,120
Speaker 1: So he if they worked late, the sugar daddy would

521
00:31:01,120 --> 00:31:03,720
Speaker 1: get them a hotel and they would stay downtown and

522
00:31:03,720 --> 00:31:06,400
Speaker 1: he lived him andutes a wife from home. I was like,

523
00:31:06,440 --> 00:31:08,960
Speaker 1: you don't ever need to stay at home? This man?

524
00:31:09,360 --> 00:31:11,480
Speaker 1: What is And I was young though, so I was like,

525
00:31:11,520 --> 00:31:13,480
Speaker 1: I guess that's how they'd be working in the bank

526
00:31:13,480 --> 00:31:16,760
Speaker 1: in the industry. I don't know. I don't work in

527
00:31:16,800 --> 00:31:21,760
Speaker 1: the bank. Weirdly sweaty at the bank. Oh my god.

528
00:31:21,760 --> 00:31:25,000
Speaker 1: They had robes that were like he would tell me, honest,

529
00:31:25,200 --> 00:31:27,280
Speaker 1: I don't know why did not put two two together.

530
00:31:27,520 --> 00:31:30,640
Speaker 1: It was like robes that were monogramed. I was like,

531
00:31:32,360 --> 00:31:35,600
Speaker 1: bank robes. You know what the bank bankers were, you

532
00:31:35,720 --> 00:31:37,480
Speaker 1: know what the bank? You know what the bank when

533
00:31:37,520 --> 00:31:39,680
Speaker 1: they have the robes, the terry cloth robes. Don't know

534
00:31:39,720 --> 00:31:43,200
Speaker 1: what I'm talking about. You need those robes to handle

535
00:31:43,280 --> 00:31:49,560
Speaker 1: the money, don't make it weird. I wonder if there's

536
00:31:49,600 --> 00:31:52,880
Speaker 1: like a perfect age at which we are immune to scam.

537
00:31:53,240 --> 00:31:55,720
Speaker 1: I feel like it's got to be like thirty five

538
00:31:56,600 --> 00:31:58,800
Speaker 1: and that's it. Yeah. I feel like at thirty five

539
00:31:58,880 --> 00:32:02,440
Speaker 1: you're probably lie a little bit more of a skeptic,

540
00:32:03,040 --> 00:32:06,680
Speaker 1: but you're not like old enough that you're like worried about.

541
00:32:07,280 --> 00:32:09,320
Speaker 1: I guess what I'm trying to say is like when

542
00:32:09,360 --> 00:32:11,240
Speaker 1: you get older, you all you also start to fall

543
00:32:11,280 --> 00:32:13,640
Speaker 1: out of the way of technology. So the thirty five,

544
00:32:13,680 --> 00:32:15,800
Speaker 1: I feel like you're in tune with all the technology

545
00:32:15,840 --> 00:32:18,760
Speaker 1: that's currently happening. You probably know how to text and

546
00:32:18,800 --> 00:32:21,640
Speaker 1: cinemogs and Skype, FaceTime and everything. But I feel like

547
00:32:21,680 --> 00:32:24,440
Speaker 1: the older you get, because there's grandpa scams to grand

548
00:32:24,480 --> 00:32:28,480
Speaker 1: parents scams and um and those on average grandparents are

549
00:32:28,520 --> 00:32:32,640
Speaker 1: sending like nine thousand dollars to scammers that's so sad,

550
00:32:33,280 --> 00:32:36,880
Speaker 1: who are pretending to be their grandchildren. And with Facebook

551
00:32:36,920 --> 00:32:38,920
Speaker 1: you can get on Facebook and learn everything you need

552
00:32:38,960 --> 00:32:43,080
Speaker 1: to know about someone, click around to find their grandchildren. UM,

553
00:32:43,120 --> 00:32:45,320
Speaker 1: and even people put have videos so you can learn

554
00:32:45,360 --> 00:32:48,880
Speaker 1: how to mimic people's voices. It's so easily with deep fake.

555
00:32:49,000 --> 00:32:52,880
Speaker 1: Now it's it's that's game over. Like once someone deep

556
00:32:52,960 --> 00:32:56,080
Speaker 1: fakes a video of you going like, hey, Grandma, it's me.

557
00:32:56,240 --> 00:33:00,720
Speaker 1: I need nine thousand dollars for bail, and that's what

558
00:33:00,760 --> 00:33:03,480
Speaker 1: they do. They call UM. Actually just did a show

559
00:33:03,520 --> 00:33:07,520
Speaker 1: about one where the phone call started as like, don't

560
00:33:07,560 --> 00:33:11,480
Speaker 1: be afraid. It's me. I'm your grandson's defense attorney. He

561
00:33:11,560 --> 00:33:14,520
Speaker 1: got into a d U I accident, and he starts

562
00:33:14,520 --> 00:33:18,240
Speaker 1: off with don't be afraid. I trust it so much,

563
00:33:19,400 --> 00:33:22,040
Speaker 1: don't be afraid. So but the thing is going to

564
00:33:22,120 --> 00:33:24,240
Speaker 1: be afraid. But he told me not to, so chill.

565
00:33:24,560 --> 00:33:28,040
Speaker 1: I'm good naturally. When I pick up the phone, I'm afraid, right,

566
00:33:28,600 --> 00:33:30,920
Speaker 1: I'm just I'm on pins and needles when I answer

567
00:33:31,000 --> 00:33:33,200
Speaker 1: the calling, waiting for someone to reassure me not to

568
00:33:33,240 --> 00:33:36,640
Speaker 1: be afraid. But that's the thing, though, is like when

569
00:33:36,800 --> 00:33:40,440
Speaker 1: you learn certain scams or get into like scamming, you

570
00:33:40,440 --> 00:33:42,000
Speaker 1: start to hear things like that and you go, what

571
00:33:42,080 --> 00:33:45,600
Speaker 1: the like this is great. But if you're not involved

572
00:33:45,640 --> 00:33:47,560
Speaker 1: in that stuff, like your study was saying, I think

573
00:33:47,600 --> 00:33:49,760
Speaker 1: that you're less likely to pinpoint it sometimes, like if

574
00:33:49,760 --> 00:33:51,120
Speaker 1: they catch you at the right time because they call

575
00:33:51,200 --> 00:33:53,320
Speaker 1: late at night or really really early in the morning

576
00:33:53,320 --> 00:33:57,680
Speaker 1: to write. Yeah, it's interesting because I feel like UM.

577
00:33:57,720 --> 00:34:03,080
Speaker 1: As a former UM psychology study research assistant, I was

578
00:34:03,120 --> 00:34:06,440
Speaker 1: basically running scams as well, because you just you have

579
00:34:06,520 --> 00:34:08,479
Speaker 1: to lie to people in order to test them because

580
00:34:08,480 --> 00:34:11,640
Speaker 1: they can't know what you're testing otherwise that influences the results.

581
00:34:12,080 --> 00:34:15,000
Speaker 1: So there were some really weird studies. One of them

582
00:34:15,080 --> 00:34:17,879
Speaker 1: was I had to convince these guys that we had

583
00:34:17,920 --> 00:34:21,920
Speaker 1: a special camera that monitored their sexual arousal by looking

584
00:34:21,960 --> 00:34:24,759
Speaker 1: at their pupil dilation, and then we showed them a

585
00:34:24,880 --> 00:34:28,840
Speaker 1: sexy video. And like I had to be really in college,

586
00:34:28,920 --> 00:34:33,440
Speaker 1: I was not cool. I just wasn't cool, and I

587
00:34:34,120 --> 00:34:37,080
Speaker 1: had I wasn't able to really I didn't know how

588
00:34:37,120 --> 00:34:40,160
Speaker 1: to lie. I was just you know, kind of kind

589
00:34:40,160 --> 00:34:42,600
Speaker 1: of doofy and stuff. And you have like such an

590
00:34:42,600 --> 00:34:45,280
Speaker 1: honest face though you have like these bright blue eyes.

591
00:34:45,360 --> 00:34:47,040
Speaker 1: I feel like if you tell me things, I would

592
00:34:47,080 --> 00:34:51,239
Speaker 1: believe them. Um. Yeah, it's it's my honest face a

593
00:34:51,400 --> 00:34:54,560
Speaker 1: k A looking always startled or as if someone has

594
00:34:54,560 --> 00:34:58,600
Speaker 1: farted in the room. Hey, it works. I have the

595
00:34:58,640 --> 00:35:02,600
Speaker 1: face of a liar people. People know what I'm talking.

596
00:35:03,000 --> 00:35:06,600
Speaker 1: If I'm breathing, I'm lying. And I mean if I

597
00:35:06,600 --> 00:35:09,720
Speaker 1: worked real hard to convince people when I am lying,

598
00:35:09,880 --> 00:35:12,600
Speaker 1: I wouldn't say that. But then I have the face

599
00:35:12,640 --> 00:35:17,279
Speaker 1: of a gullible person. So um so I had to

600
00:35:17,360 --> 00:35:20,520
Speaker 1: somehow um And then the guys would sometimes question me

601
00:35:20,640 --> 00:35:23,040
Speaker 1: like say like, wait, how can a camera tell like

602
00:35:23,160 --> 00:35:27,239
Speaker 1: I'm aroused? And it's like you know, by detecting your

603
00:35:27,280 --> 00:35:30,200
Speaker 1: pupils And they're like, well, am I aroused right now?

604
00:35:30,360 --> 00:35:33,719
Speaker 1: Like I don't know. If I don'tbout the camera, I

605
00:35:33,760 --> 00:35:37,240
Speaker 1: can't tell that guy's a scamera. It was like sounds

606
00:35:37,520 --> 00:35:43,600
Speaker 1: like bullshit. Um So, I don't think I got too.

607
00:35:43,880 --> 00:35:46,239
Speaker 1: I didn't get good at scamming people or I didn't

608
00:35:46,239 --> 00:35:48,439
Speaker 1: get good at like lying, but I did learn like

609
00:35:49,120 --> 00:35:52,839
Speaker 1: to just not trust anyone because if I couldn't trust me,

610
00:35:52,960 --> 00:35:56,040
Speaker 1: who can I trust? Right? And that's the thing too,

611
00:35:56,120 --> 00:35:59,960
Speaker 1: is it like also your experience is right, that'll all

612
00:36:00,040 --> 00:36:02,279
Speaker 1: lo catered to, Like how easily your scam if you're

613
00:36:02,320 --> 00:36:04,920
Speaker 1: someone who's had more privileged life. You know, people in

614
00:36:04,920 --> 00:36:07,840
Speaker 1: your life have genuinely not been shady. If you have

615
00:36:07,920 --> 00:36:12,479
Speaker 1: access to a lot of money, those people easiest to scam. Yeah,

616
00:36:12,480 --> 00:36:16,600
Speaker 1: because you've been insulated in a bubble and everyone's treated

617
00:36:16,640 --> 00:36:19,239
Speaker 1: you well up until, Like, you don't know how other

618
00:36:19,280 --> 00:36:22,120
Speaker 1: people live. So someone does tell you, like they work

619
00:36:22,160 --> 00:36:25,560
Speaker 1: in diamond dealing, and it's dangerous that people are following them.

620
00:36:25,719 --> 00:36:28,680
Speaker 1: I'm like the arrested development, Like how much can bananas

621
00:36:28,719 --> 00:36:34,080
Speaker 1: cost twelve dollars? Just thirty dollars? I mean, I think

622
00:36:34,080 --> 00:36:37,520
Speaker 1: because I do look kind of innocent, I think like

623
00:36:37,680 --> 00:36:39,560
Speaker 1: a lot of people have tried to take advantage of me,

624
00:36:39,640 --> 00:36:42,040
Speaker 1: so I've kind of learned a lot over the years.

625
00:36:42,640 --> 00:36:44,960
Speaker 1: Um And, like I like I remember in high school,

626
00:36:45,000 --> 00:36:47,160
Speaker 1: I was super global. People were always teasing me and

627
00:36:47,200 --> 00:36:49,560
Speaker 1: like bullying me in a sort of funny way that

628
00:36:49,840 --> 00:36:52,080
Speaker 1: like even now I can like that was pretty funny.

629
00:36:52,120 --> 00:36:55,120
Speaker 1: But like, um so the only person looking back fondly

630
00:36:55,160 --> 00:36:58,480
Speaker 1: on the bullying, right, I think about well, I mean

631
00:36:58,560 --> 00:37:00,799
Speaker 1: I was I was bullying. That was not so fun.

632
00:37:00,880 --> 00:37:03,160
Speaker 1: But you know the fun bowling where it's like, oh,

633
00:37:03,280 --> 00:37:06,080
Speaker 1: look at the ceiling, Katie and I would or like like, oh,

634
00:37:06,120 --> 00:37:08,200
Speaker 1: did you know if you like shake a salt salt

635
00:37:08,239 --> 00:37:10,359
Speaker 1: shaker on your tongue, you can like taste it. The

636
00:37:10,360 --> 00:37:12,719
Speaker 1: i'm they're like looking like I'm, you know, jerking someone off.

637
00:37:14,640 --> 00:37:19,600
Speaker 1: So another thing you can't trust is caterpillars. What a

638
00:37:19,680 --> 00:37:25,080
Speaker 1: seg Oh I'm great at segways. On this show, um so, Um,

639
00:37:25,239 --> 00:37:29,360
Speaker 1: we're going to learn that just like humans can defend

640
00:37:29,560 --> 00:37:32,840
Speaker 1: ourselves by learning to mimic our predators, so can animals.

641
00:37:32,840 --> 00:37:34,800
Speaker 1: And we're going to start off with a very naughty

642
00:37:34,880 --> 00:37:39,720
Speaker 1: little caterpillar. Um So. The hawk moth caterpillar of Central

643
00:37:39,719 --> 00:37:43,640
Speaker 1: and South America mimics the look of vipers by inflating

644
00:37:43,680 --> 00:37:49,200
Speaker 1: itself like a balloon a snake. Right, So they have

645
00:37:49,320 --> 00:37:52,680
Speaker 1: these big fake eye spots and fake reptile scales, and

646
00:37:52,719 --> 00:37:55,080
Speaker 1: they puff up their front parts and wave them around

647
00:37:55,080 --> 00:37:58,040
Speaker 1: to look like a snake head. They'll even like undulate

648
00:37:58,080 --> 00:38:02,359
Speaker 1: and do monks strikes. So I've got a video of

649
00:38:02,400 --> 00:38:07,279
Speaker 1: this alright, So here's the hawksmouth caterpillar. That's the cat.

650
00:38:07,360 --> 00:38:10,360
Speaker 1: Oh my, it looks like a snake. This is crazy.

651
00:38:10,560 --> 00:38:13,920
Speaker 1: It looks so it like twists itself around. Um, and

652
00:38:14,000 --> 00:38:19,520
Speaker 1: then it like inflates itself, just like part of it

653
00:38:19,600 --> 00:38:21,520
Speaker 1: so part of it still skinny, and then it kind

654
00:38:21,520 --> 00:38:24,399
Speaker 1: of creates a bulb at one end that looks like

655
00:38:24,719 --> 00:38:29,439
Speaker 1: a snakehead. And it's extremely convincing like that. Even even

656
00:38:29,600 --> 00:38:32,560
Speaker 1: biologists and researchers who know about this caterpillar and are

657
00:38:32,600 --> 00:38:36,680
Speaker 1: actively looking for it, when they see it there start yeah,

658
00:38:36,760 --> 00:38:40,560
Speaker 1: because it's we're so um programmed to be afraid of

659
00:38:40,600 --> 00:38:42,680
Speaker 1: snakes that if you see this, you're going to jump.

660
00:38:43,160 --> 00:38:45,239
Speaker 1: Now the fake has at all. This Is this the

661
00:38:45,280 --> 00:38:48,960
Speaker 1: butt part of the caterpillar? I think it's the front part. Actually,

662
00:38:49,200 --> 00:38:51,800
Speaker 1: oh wow, because I thought it was eaten. Now I

663
00:38:51,840 --> 00:38:53,640
Speaker 1: think that is. I think that is the front part.

664
00:38:54,160 --> 00:38:56,520
Speaker 1: Oh okay, because I was like, that would be fly

665
00:38:56,560 --> 00:38:58,280
Speaker 1: if you could just make it look like a snake

666
00:38:58,440 --> 00:39:00,759
Speaker 1: but you could just eat Yeah. There are examples. So

667
00:39:00,800 --> 00:39:03,839
Speaker 1: auto mimicry is a type of mimicry where you are

668
00:39:04,360 --> 00:39:07,719
Speaker 1: mimicking your own body parts. So there are caterpillars and

669
00:39:07,760 --> 00:39:12,400
Speaker 1: animals that have eyes on their butt um and there's um,

670
00:39:12,440 --> 00:39:16,279
Speaker 1: there's this owl called the it's like the northern North

671
00:39:16,320 --> 00:39:18,680
Speaker 1: American pygmy owl that has eyes on the back of

672
00:39:18,680 --> 00:39:23,440
Speaker 1: its head. Um here's a picture of that, so you

673
00:39:23,440 --> 00:39:26,160
Speaker 1: can see from a distance that you would just think

674
00:39:26,480 --> 00:39:29,000
Speaker 1: and it's looking at you right exactly, and alics can

675
00:39:29,120 --> 00:39:32,319
Speaker 1: swivel their heads around. So um, this is like the

676
00:39:32,400 --> 00:39:36,319
Speaker 1: next technology. They're like women need, like walking home at night,

677
00:39:37,440 --> 00:39:40,200
Speaker 1: a whole face on the back of my head. I

678
00:39:40,239 --> 00:39:42,319
Speaker 1: feel like if you had two faces, that would be

679
00:39:42,440 --> 00:39:46,439
Speaker 1: enough of a deterrent, like like this pitch has two

680
00:39:46,440 --> 00:39:54,360
Speaker 1: faces crazier than um. Well actually so um. In uh

681
00:39:54,440 --> 00:39:59,359
Speaker 1: In Indian Bangladesh, in tiger territory, people used to try

682
00:39:59,360 --> 00:40:01,400
Speaker 1: to wear mank on the back of their heads to

683
00:40:01,480 --> 00:40:06,800
Speaker 1: prevent tiger attacks because they would attack you from behind. Um.

684
00:40:06,800 --> 00:40:09,080
Speaker 1: But this only they were only able to do it

685
00:40:09,120 --> 00:40:12,799
Speaker 1: for a few months because reportedly the tigers like cut

686
00:40:12,840 --> 00:40:15,640
Speaker 1: onto it and they learned to differentiate between the fake

687
00:40:15,719 --> 00:40:19,640
Speaker 1: mask and like the real face. Right now, that's very smart.

688
00:40:19,760 --> 00:40:21,600
Speaker 1: So I wonder who who was the first guy to

689
00:40:21,640 --> 00:40:23,319
Speaker 1: get attacked. He was like, no, no no, not, don't worry,

690
00:40:23,320 --> 00:40:28,000
Speaker 1: I got my face mask. Do the first one. It's

691
00:40:28,040 --> 00:40:30,759
Speaker 1: like it's just a really bad face mask. And then

692
00:40:30,760 --> 00:40:32,960
Speaker 1: they turned around in their face also looks like that.

693
00:40:33,000 --> 00:40:34,840
Speaker 1: I was like, I don't know what we're wrong. It

694
00:40:34,960 --> 00:40:41,640
Speaker 1: was a perfect resemblance. Um so Uh. That is a

695
00:40:41,840 --> 00:40:45,640
Speaker 1: form of the The caterpillar pretending to be a form

696
00:40:45,680 --> 00:40:48,160
Speaker 1: is a form of Baitsian mimicry. So that's a harmless

697
00:40:48,200 --> 00:40:51,960
Speaker 1: animal mimicking a dangerous animal animal in order to scare

698
00:40:51,960 --> 00:40:55,319
Speaker 1: off would be attackers. Uh so uh. In addition to

699
00:40:55,400 --> 00:41:02,160
Speaker 1: the UM caterpillar, other examples are tasty butterflies mimicking UM.

700
00:41:02,320 --> 00:41:06,799
Speaker 1: The epi semitic coloration of unpalatable butterflies and moths, like

701
00:41:06,880 --> 00:41:09,520
Speaker 1: butterflies that will make like if a bird eats that butterfly,

702
00:41:09,600 --> 00:41:13,640
Speaker 1: it'll vomit. Those tend to be like like green and red. Yeah,

703
00:41:13,719 --> 00:41:17,440
Speaker 1: like these bright colors like monarchs are a good example. UM.

704
00:41:17,640 --> 00:41:25,480
Speaker 1: Monarchs aren't delicious, no, um. They do look delicious though buttery.

705
00:41:25,800 --> 00:41:31,200
Speaker 1: There's there's a complex math to this actually, because if

706
00:41:31,200 --> 00:41:36,720
Speaker 1: you have too many UM mimics who taste great mimicking

707
00:41:36,920 --> 00:41:41,720
Speaker 1: the unpalatable mimics. Uh, then the it gets all skewed

708
00:41:41,760 --> 00:41:44,920
Speaker 1: where predators don't learn, so they'll just like because the

709
00:41:45,000 --> 00:41:48,520
Speaker 1: signal has too much noise. The predators lead all these

710
00:41:48,520 --> 00:41:52,000
Speaker 1: tasty molds and only occasionally eat the moth or the butterfly.

711
00:41:52,200 --> 00:41:55,200
Speaker 1: That is actually toxic. So they're kind of messing up

712
00:41:55,239 --> 00:41:59,320
Speaker 1: the game for the person who is toxic because they's like,

713
00:41:59,360 --> 00:42:03,120
Speaker 1: I don't take my chances right exactly, Like if like

714
00:42:03,280 --> 00:42:06,400
Speaker 1: most ice cream you ate tasted great, but like one

715
00:42:06,560 --> 00:42:09,560
Speaker 1: once in a hundred like it tasted like ass like,

716
00:42:09,600 --> 00:42:11,520
Speaker 1: then you'd still eat ice cream, right, Yeah, yeah, I

717
00:42:11,520 --> 00:42:16,120
Speaker 1: probably would risk of that as Yeah. So so this

718
00:42:16,239 --> 00:42:18,359
Speaker 1: really is kind of ruining it for the people who

719
00:42:18,400 --> 00:42:22,239
Speaker 1: had the armor, right exactly. So the populations actually you

720
00:42:22,280 --> 00:42:25,399
Speaker 1: see like these populations rising in declining as they kind

721
00:42:25,400 --> 00:42:27,800
Speaker 1: of balance out because there has to be this balance

722
00:42:27,880 --> 00:42:34,040
Speaker 1: of mimic population to the actual true signal population. Um. So.

723
00:42:34,800 --> 00:42:36,880
Speaker 1: Another example, and this is just kind of funny, is

724
00:42:36,920 --> 00:42:40,560
Speaker 1: there be flies who are totally harmless that look like bees.

725
00:42:40,640 --> 00:42:42,719
Speaker 1: But they're really funny because they're just these little they

726
00:42:42,800 --> 00:42:45,640
Speaker 1: look like little poofballs with with eyes and they're they're

727
00:42:45,640 --> 00:42:48,200
Speaker 1: just harmless flies. But I would never look like these.

728
00:42:48,320 --> 00:42:50,280
Speaker 1: I've never known if I've seen a bee fly before.

729
00:42:50,480 --> 00:42:53,680
Speaker 1: I think the first time I saw one was um,

730
00:42:53,800 --> 00:42:57,160
Speaker 1: I think I saw one in the Sequoias um and

731
00:42:57,200 --> 00:42:59,799
Speaker 1: it was really funny because it like I thought it

732
00:42:59,840 --> 00:43:01,719
Speaker 1: was a be but it was also a lot less

733
00:43:01,760 --> 00:43:08,960
Speaker 1: agile than it looks like a great value brand, like

734
00:43:09,000 --> 00:43:12,520
Speaker 1: one of those ice cream trucks serving like like pocket

735
00:43:12,600 --> 00:43:15,480
Speaker 1: Monster like ice creams where it's like Pikachu but it's

736
00:43:15,520 --> 00:43:22,759
Speaker 1: all melty to never were it's it's sponge Guy, the

737
00:43:22,920 --> 00:43:28,200
Speaker 1: ice cream poke Man. Get a Pokemon, I scream. I mean,

738
00:43:28,239 --> 00:43:30,719
Speaker 1: I feel like this would work on humans too, Like

739
00:43:30,760 --> 00:43:33,720
Speaker 1: you know, how um, Like when the whole tide pod

740
00:43:33,840 --> 00:43:36,520
Speaker 1: thing was a mean and people were making like tide

741
00:43:36,600 --> 00:43:41,239
Speaker 1: pod jello shots and tide pod colored uh like cupcakes

742
00:43:41,280 --> 00:43:44,040
Speaker 1: and cookies like as a joke. But I feel like

743
00:43:44,080 --> 00:43:46,319
Speaker 1: if someone handed me a jello shot that looked like

744
00:43:46,360 --> 00:43:48,880
Speaker 1: a tide pod, I wouldn't want to eat it because

745
00:43:48,920 --> 00:43:51,560
Speaker 1: it would disgust weight. I would feel like I was

746
00:43:51,760 --> 00:43:53,839
Speaker 1: maybe going to eat a tide pot. Right. It's kind

747
00:43:53,840 --> 00:43:57,120
Speaker 1: of like how um, I think they're there. There's been

748
00:43:57,120 --> 00:44:00,000
Speaker 1: some research to show that when you have a certain

749
00:44:00,120 --> 00:44:03,560
Speaker 1: flavor associated with cleaning products in a country, like there's

750
00:44:03,680 --> 00:44:06,600
Speaker 1: less gum that comes in that flavor, whereas like if

751
00:44:06,680 --> 00:44:10,000
Speaker 1: in another country, like the gum or that kind of

752
00:44:10,040 --> 00:44:13,600
Speaker 1: flavoring isn't like a minty flavor being used in cleaning products.

753
00:44:13,680 --> 00:44:15,759
Speaker 1: It's not, it's less likely to be to be because

754
00:44:15,760 --> 00:44:18,520
Speaker 1: you don't want to consume it, right exactly. Oh that

755
00:44:18,600 --> 00:44:20,480
Speaker 1: makes total sense. I would turn me off to I

756
00:44:20,520 --> 00:44:22,600
Speaker 1: wonder what kind of gum they're eating in Mexico because

757
00:44:22,600 --> 00:44:27,839
Speaker 1: flavor um and it's all delicious. Why do they make

758
00:44:27,880 --> 00:44:30,239
Speaker 1: it look so good? They make it look too good.

759
00:44:30,280 --> 00:44:33,200
Speaker 1: It's like a bright color like candy apple, grein and

760
00:44:33,520 --> 00:44:37,840
Speaker 1: sin and blue, and the smells like candy does. And

761
00:44:37,880 --> 00:44:40,920
Speaker 1: then I'm like, but I can't eat it? But or

762
00:44:41,200 --> 00:44:45,120
Speaker 1: can I can? I? I mean we learned with tide pots.

763
00:44:45,320 --> 00:44:48,160
Speaker 1: Have you have you seen those um like their coffee

764
00:44:48,200 --> 00:44:52,879
Speaker 1: mug shaped like toilets? Yeah? I don't understand it because

765
00:44:52,920 --> 00:44:55,359
Speaker 1: any anytime, like there's some cute see things like oh,

766
00:44:55,440 --> 00:44:58,000
Speaker 1: here's a cookie, but it's shaped like a pupa emoji,

767
00:44:58,120 --> 00:45:02,920
Speaker 1: or like here's like it's eat poop. Yeah. Somebody had

768
00:45:02,920 --> 00:45:05,120
Speaker 1: a baby shower cake once and they had a very

769
00:45:05,160 --> 00:45:10,840
Speaker 1: realistic vagina yeah with like the baby you know, yeah,

770
00:45:11,040 --> 00:45:14,080
Speaker 1: I mean maybe the vagina alone with the baby hand

771
00:45:14,160 --> 00:45:17,080
Speaker 1: was coming down. It was like would you like to

772
00:45:17,120 --> 00:45:21,080
Speaker 1: eat this pussy? Yeah, a lot of people would like

773
00:45:21,120 --> 00:45:27,640
Speaker 1: to eat a pussy. Um, But but it was like baby, baby, baby.

774
00:45:27,760 --> 00:45:31,880
Speaker 1: I want to say coitus, but that's mad birth reaching

775
00:45:31,920 --> 00:45:35,640
Speaker 1: the baby is yeah, And I was like they did

776
00:45:35,680 --> 00:45:37,359
Speaker 1: as a joke, and I'm like, also, I don't want

777
00:45:37,400 --> 00:45:39,960
Speaker 1: to eat I don't ever want to eat a baby

778
00:45:39,960 --> 00:45:42,960
Speaker 1: shaped cake. Um. But also I saw I saw a

779
00:45:42,960 --> 00:45:45,600
Speaker 1: baby cake where it was like the stomach was transparent.

780
00:45:45,680 --> 00:45:50,080
Speaker 1: It was like this baby fetus in this transparent jello stomach.

781
00:45:50,920 --> 00:45:56,040
Speaker 1: I don't under we've just because we can doesn't mean

782
00:45:56,080 --> 00:45:59,799
Speaker 1: we should. Yeah, our society, man, I would eat a

783
00:45:59,840 --> 00:46:02,520
Speaker 1: cake shaped like a baby, though, I don't know. If

784
00:46:02,520 --> 00:46:05,640
Speaker 1: I give you a little baby foot, I already want

785
00:46:05,640 --> 00:46:08,359
Speaker 1: to eat baby cheek. I don't literally want to eat

786
00:46:08,360 --> 00:46:13,319
Speaker 1: a baby. But it's like nibble, that's true, just like yeah, yeah,

787
00:46:13,400 --> 00:46:19,520
Speaker 1: just like suez um. So there's another kind of mimicry

788
00:46:19,680 --> 00:46:24,560
Speaker 1: called Mularian mimicry, when it's two or more dangerous animals

789
00:46:24,600 --> 00:46:28,560
Speaker 1: that develop a similar look um so that that signal,

790
00:46:28,640 --> 00:46:31,800
Speaker 1: Like we talked about, it's important that predators actually learned

791
00:46:31,920 --> 00:46:35,320
Speaker 1: that that signal so they don't eat you otherwise it's useless.

792
00:46:35,600 --> 00:46:40,640
Speaker 1: So when you have too dangerous um or toxic animals

793
00:46:40,719 --> 00:46:43,480
Speaker 1: teaming up looking alike than their signal is going to

794
00:46:43,560 --> 00:46:46,120
Speaker 1: be even stronger. So an example of this is the

795
00:46:46,239 --> 00:46:51,200
Speaker 1: viceroy and monarch butterflies that are both mildly toxic um

796
00:46:51,200 --> 00:46:55,280
Speaker 1: too toxic uh, and they look very similar. They basically

797
00:46:55,280 --> 00:46:57,919
Speaker 1: look the same. It's really hard to differentiate them. And

798
00:46:58,080 --> 00:47:02,600
Speaker 1: there's actually some human example. So evolutionary zoologist Thomas in

799
00:47:02,719 --> 00:47:08,080
Speaker 1: Shatt claims that marketers engage in this Mularian mimicry where

800
00:47:08,080 --> 00:47:12,960
Speaker 1: products are colored similarly to signal brand identification better. So

801
00:47:13,080 --> 00:47:14,960
Speaker 1: that would kind of be like baits and mimicry, so

802
00:47:15,080 --> 00:47:18,600
Speaker 1: like a some coke off brand, like trying to look

803
00:47:18,680 --> 00:47:22,279
Speaker 1: like a coke bottle or having the same like Dr

804
00:47:22,320 --> 00:47:26,040
Speaker 1: Pepper and Mr Pitts exactly exactly um, or like the

805
00:47:27,120 --> 00:47:29,480
Speaker 1: I can't believe it's not butter. Have you seen like

806
00:47:29,520 --> 00:47:32,120
Speaker 1: all the variations of that where it's like butter, No,

807
00:47:32,280 --> 00:47:35,160
Speaker 1: I can't believe it. It's like, how don't know it's

808
00:47:35,200 --> 00:47:39,400
Speaker 1: not It's like the same kind of swooping texts like

809
00:47:39,719 --> 00:47:41,719
Speaker 1: like the blue on yellow or whatever it is, it's

810
00:47:41,800 --> 00:47:48,359
Speaker 1: like butter. Nah, maybe no, this isn't butter or is

811
00:47:48,400 --> 00:47:55,719
Speaker 1: it the taste of butter? Perhaps kind of butter but

812
00:47:55,760 --> 00:47:58,400
Speaker 1: not really, but is it Maybe we don't know the

813
00:47:58,480 --> 00:48:02,880
Speaker 1: cousin of butter or you be the judge, and I

814
00:48:02,920 --> 00:48:04,960
Speaker 1: would go for that. I mean, that's I mean, that's

815
00:48:04,960 --> 00:48:08,920
Speaker 1: what Walmart is a great value product is literally so

816
00:48:09,000 --> 00:48:14,080
Speaker 1: close to cheerios cheery boys. And then the kind of

817
00:48:14,160 --> 00:48:17,160
Speaker 1: Mularian mimicry where it's like their signal boosting each other

818
00:48:17,280 --> 00:48:20,480
Speaker 1: is like chip flavors often have similar colors, so like

819
00:48:20,800 --> 00:48:24,840
Speaker 1: cool ranch is like blue, and like, um, like salt

820
00:48:24,880 --> 00:48:30,120
Speaker 1: and vinegar is like green exactly um and like sort

821
00:48:30,120 --> 00:48:32,319
Speaker 1: of like red and yellow is just like you know,

822
00:48:32,520 --> 00:48:37,880
Speaker 1: basic basic chip. Yeah. Um So that's kind of interesting

823
00:48:37,880 --> 00:48:40,440
Speaker 1: to me. It's like butterflies do it and chips do it.

824
00:48:42,200 --> 00:48:45,760
Speaker 1: Um So, there's other forms, interesting forms of defensive mimicry.

825
00:48:45,960 --> 00:48:48,440
Speaker 1: Um So, there are these three snakes who live in

826
00:48:48,480 --> 00:48:51,560
Speaker 1: North Central and South America who look almost identical, the

827
00:48:51,600 --> 00:48:55,920
Speaker 1: milk snake, the false coral snakes, and the deadly coral snakes.

828
00:48:56,440 --> 00:48:59,640
Speaker 1: Um So, the milk snakes are harmless, the false coral

829
00:48:59,680 --> 00:49:03,320
Speaker 1: snakes are moderately toxic and venomous. Um and the deadly

830
00:49:03,400 --> 00:49:08,080
Speaker 1: coral snakes are um So, there's a nemonic device to

831
00:49:08,160 --> 00:49:11,560
Speaker 1: try to tell the difference between these snakes. Um, it

832
00:49:11,640 --> 00:49:14,840
Speaker 1: goes red on yellow kills a fellow, red on black

833
00:49:14,960 --> 00:49:18,200
Speaker 1: venom black, or there's another one that's like red touches black,

834
00:49:18,280 --> 00:49:20,640
Speaker 1: it's a friend of jack. Red touches yellow, it's a

835
00:49:20,680 --> 00:49:23,480
Speaker 1: bad for a fellow. Or I didn't mean to do that,

836
00:49:23,560 --> 00:49:30,000
Speaker 1: as like Italian, it's a bad for a Red touches yellow,

837
00:49:30,040 --> 00:49:33,879
Speaker 1: you're a dead fellow. Red touches black, you're okay, jack. Um,

838
00:49:33,920 --> 00:49:36,319
Speaker 1: I've never been able to learn these because I'm just

839
00:49:36,400 --> 00:49:39,800
Speaker 1: like red on yellow good for a fellow, Red on black,

840
00:49:39,840 --> 00:49:44,280
Speaker 1: you're okay, Jack. You know it's completely confusing to close,

841
00:49:44,440 --> 00:49:48,080
Speaker 1: but like you should, regardless of whether they confuse you,

842
00:49:48,080 --> 00:49:52,040
Speaker 1: you should completely ignore these poems. They are useless. Researchers

843
00:49:52,040 --> 00:49:55,000
Speaker 1: have found that there's no reliable color pattern that can

844
00:49:55,040 --> 00:49:58,160
Speaker 1: help you determine the harmless snakes from the deadly coral snakes.

845
00:49:58,280 --> 00:50:01,279
Speaker 1: So if you see like red touches yellow, just like,

846
00:50:01,360 --> 00:50:05,600
Speaker 1: stay away from these snakes, right, don't be like, okay,

847
00:50:05,680 --> 00:50:09,640
Speaker 1: red touches yellow or red touches black, rob it all

848
00:50:09,680 --> 00:50:14,239
Speaker 1: over your back. Um, So you might think that in

849
00:50:14,280 --> 00:50:16,800
Speaker 1: this case, the milk snake and the false coral snakes

850
00:50:16,800 --> 00:50:19,239
Speaker 1: are mimicking the deadly coral snake as a kind of

851
00:50:19,280 --> 00:50:22,600
Speaker 1: Baitsia mimicry, but it's Some biologists actually argue that this

852
00:50:22,640 --> 00:50:27,440
Speaker 1: is called Martensian mimicry um, where a deadly animal mimics

853
00:50:27,520 --> 00:50:31,640
Speaker 1: a less deadly but still harmful animal, because if you're deadly,

854
00:50:31,800 --> 00:50:34,759
Speaker 1: it's hard to teach a predator a lesson because if

855
00:50:34,800 --> 00:50:37,560
Speaker 1: they eat you, then they die, but you also die,

856
00:50:38,000 --> 00:50:41,760
Speaker 1: so nobody learns anything. So if you mimic a slightly

857
00:50:41,840 --> 00:50:46,400
Speaker 1: less deadly animal but that's still toxic, then the predators live,

858
00:50:46,719 --> 00:50:48,880
Speaker 1: but they learned that that is a yucky snake, and

859
00:50:48,880 --> 00:50:52,480
Speaker 1: then they won't eat you, which is kind of a

860
00:50:52,520 --> 00:50:57,560
Speaker 1: convoluted thing, and it's not it's somewhat controversial. Snake. I

861
00:50:57,640 --> 00:51:00,880
Speaker 1: can't tell my friends about the snake that I ate.

862
00:51:01,120 --> 00:51:04,760
Speaker 1: If I'm did right exactly, you can't do that anyways.

863
00:51:04,760 --> 00:51:08,400
Speaker 1: I've found people don't like it. I hate a snake

864
00:51:08,520 --> 00:51:11,920
Speaker 1: last week, and then then they're like, okay, well, do

865
00:51:12,000 --> 00:51:16,799
Speaker 1: snakes tastes good? Alligator don't think they taste super good.

866
00:51:16,800 --> 00:51:18,840
Speaker 1: I think it's hard to cook them without them getting

867
00:51:18,840 --> 00:51:24,200
Speaker 1: really chalky. Yeah, and like dried out they're just useless

868
00:51:24,239 --> 00:51:30,840
Speaker 1: little news like biting noodles UMDs. Uh. So um, there's

869
00:51:30,880 --> 00:51:36,200
Speaker 1: also Gilbertian um emicry, so this is an interesting one. Uh.

870
00:51:36,440 --> 00:51:41,120
Speaker 1: Here's an example. So, passion flowers um have developed growths

871
00:51:41,160 --> 00:51:45,040
Speaker 1: that look like butterfly eggs to deter butterflies from laying

872
00:51:45,040 --> 00:51:49,040
Speaker 1: their eggs on them, exposing them to caterpillars. So, um,

873
00:51:49,080 --> 00:51:54,839
Speaker 1: it's basically Gilbertian mimicry is you're the victim of parasites

874
00:51:55,000 --> 00:51:58,840
Speaker 1: that then mimics the parasite in order to trick the

875
00:51:58,920 --> 00:52:02,600
Speaker 1: parasite into not bothering you. Right, So this is like

876
00:52:02,760 --> 00:52:05,759
Speaker 1: if um, oh, this is so dark, but it's like

877
00:52:05,800 --> 00:52:07,920
Speaker 1: if someone shooting and you just lay down and pretend

878
00:52:07,960 --> 00:52:11,640
Speaker 1: you've already been shot pretty much um. And so it's

879
00:52:11,640 --> 00:52:15,000
Speaker 1: like these these passion flowers actually have developed growths that

880
00:52:15,080 --> 00:52:18,000
Speaker 1: look like butterfly eggs. So the butterfly who normally likes

881
00:52:18,040 --> 00:52:20,000
Speaker 1: to lay their eggs on these flowers will look at

882
00:52:20,040 --> 00:52:22,600
Speaker 1: that and be like, oh, there's already competition here, I

883
00:52:22,640 --> 00:52:27,480
Speaker 1: can't do it. Or it also attracts predators of the butterflies,

884
00:52:27,600 --> 00:52:30,440
Speaker 1: and then that's good because that then kills any butterflies

885
00:52:30,480 --> 00:52:33,360
Speaker 1: that will come and lay their eggs. Um, because it

886
00:52:33,400 --> 00:52:36,200
Speaker 1: kind of just keeps them around, like there's probably gonna

887
00:52:36,200 --> 00:52:38,839
Speaker 1: be some butterflies back soon and munch on. I feel

888
00:52:38,880 --> 00:52:40,880
Speaker 1: like this would be like if you got a scammer

889
00:52:40,920 --> 00:52:43,120
Speaker 1: calling you and then you tried to scam this camera,

890
00:52:43,600 --> 00:52:45,480
Speaker 1: Like like if they're like, can you give me your

891
00:52:45,520 --> 00:52:47,960
Speaker 1: social Security number? And you're like, oh, I don't know

892
00:52:48,000 --> 00:52:50,120
Speaker 1: what a social security number is? Could you give me

893
00:52:50,160 --> 00:52:54,680
Speaker 1: yours as an example? Yeah? Wait, repeat it, thank you?

894
00:52:55,080 --> 00:52:57,800
Speaker 1: Or like what's your driver's license? It's all of a

895
00:52:57,840 --> 00:53:02,040
Speaker 1: sudden you're giving up on the information. UM. And then

896
00:53:02,040 --> 00:53:04,920
Speaker 1: we talked a little bit about automimicry. UM. That's the

897
00:53:05,480 --> 00:53:08,000
Speaker 1: that's where you're mimicking your own body parts where it's

898
00:53:08,040 --> 00:53:10,719
Speaker 1: like the eyes on the back of your head. UM.

899
00:53:10,840 --> 00:53:15,239
Speaker 1: Actually you know the that Gilbert Tian Memicry reminds me of. UM.

900
00:53:15,920 --> 00:53:18,319
Speaker 1: I think his name is James Veach. Have you ever

901
00:53:18,360 --> 00:53:22,279
Speaker 1: seen his stuff? He's like he um, scammers email him,

902
00:53:22,360 --> 00:53:26,560
Speaker 1: and then he like scams the scammers for comedy where

903
00:53:26,600 --> 00:53:29,279
Speaker 1: he like, uh, like they'll they'll like try to get

904
00:53:29,320 --> 00:53:30,880
Speaker 1: him to do a scam and then he tries to

905
00:53:30,960 --> 00:53:33,799
Speaker 1: keep them engaged as long as possible, where he's like, oh,

906
00:53:33,840 --> 00:53:37,000
Speaker 1: I'm in, But then he like starts like tormenting them

907
00:53:37,000 --> 00:53:39,000
Speaker 1: by being like, you know, can you send me a

908
00:53:39,040 --> 00:53:44,360
Speaker 1: photo of the briefcase scammers? I haven't seen that, but

909
00:53:44,480 --> 00:53:46,879
Speaker 1: scammers have to be really good at photoshop or its

910
00:53:46,920 --> 00:53:50,200
Speaker 1: like a requirement. Um, and I can't imagine like him

911
00:53:50,239 --> 00:53:52,319
Speaker 1: like putting them through like can you send me the

912
00:53:52,320 --> 00:53:54,839
Speaker 1: bank statement? Like and they have to go to work

913
00:53:55,239 --> 00:53:57,839
Speaker 1: making it all the comp or they're like they'll say

914
00:53:57,880 --> 00:54:00,200
Speaker 1: like you've won this thing, and he's like, oh, I

915
00:54:00,239 --> 00:54:02,000
Speaker 1: heard about that in the newspaper. So I also get

916
00:54:02,000 --> 00:54:03,759
Speaker 1: a free toaster, right, And they're like, no, there's no

917
00:54:03,800 --> 00:54:05,920
Speaker 1: free toasters, Like well what about this? And each shows

918
00:54:05,960 --> 00:54:08,719
Speaker 1: like an advertisement for their scam, but it says like

919
00:54:08,800 --> 00:54:16,160
Speaker 1: and a free toaster. It's it's so good. There's one

920
00:54:16,200 --> 00:54:19,960
Speaker 1: example of mimicry and evolutionary biology that isn't just unique,

921
00:54:20,040 --> 00:54:23,399
Speaker 1: it's freaky, and like many freaky things in nature, it's

922
00:54:23,400 --> 00:54:26,759
Speaker 1: all because of this weird fungus. Imagine a fungus that

923
00:54:26,840 --> 00:54:29,520
Speaker 1: infects your body, hijacks your biology to make you look

924
00:54:29,560 --> 00:54:32,840
Speaker 1: and smell like a delicious dessert. This is exactly what

925
00:54:32,920 --> 00:54:37,800
Speaker 1: the disco micat Fungus monil in the Vaccini quorum bosy

926
00:54:37,960 --> 00:54:40,880
Speaker 1: fungus do, or as I like to call them, because

927
00:54:40,880 --> 00:54:45,280
Speaker 1: that's impossible to pronounce, the blueberry fucker. The blueberry fucker

928
00:54:45,320 --> 00:54:48,800
Speaker 1: fungus infects the leaves of the blueberry plant and causes

929
00:54:48,880 --> 00:54:53,600
Speaker 1: them to secrete sweet nectar like substance. Pollinators like bees

930
00:54:53,640 --> 00:54:56,600
Speaker 1: come to sip at this sugary hoax, and the fungus

931
00:54:56,640 --> 00:54:59,360
Speaker 1: hitches right on the bee. Then, when the bee moves

932
00:54:59,400 --> 00:55:03,160
Speaker 1: on to a blueberry flower, the fungus infects the flowers

933
00:55:03,239 --> 00:55:07,800
Speaker 1: reproductive system. Then the fungus hijacks the flowers ovaries, using

934
00:55:07,840 --> 00:55:12,479
Speaker 1: them to produce mummified, inedible blueberries containing the fungus, which

935
00:55:12,520 --> 00:55:15,040
Speaker 1: hibernate over the winter and goes on to infect the

936
00:55:15,080 --> 00:55:17,839
Speaker 1: plant again in the spring. This is one of the

937
00:55:17,920 --> 00:55:22,960
Speaker 1: only cases in nature where a parasitic organism forces another organism,

938
00:55:23,120 --> 00:55:26,640
Speaker 1: in this case the blueberry plant, to engage in mimicry,

939
00:55:27,000 --> 00:55:29,920
Speaker 1: and then uses a patsy in this case, the bee,

940
00:55:30,200 --> 00:55:33,120
Speaker 1: to infect the plant. Not only does it force the

941
00:55:33,160 --> 00:55:37,560
Speaker 1: blueberry to smell delicious, it also alters its ultra violet coloration,

942
00:55:37,680 --> 00:55:40,680
Speaker 1: making the leaves give off a flower signal to the bees.

943
00:55:41,120 --> 00:55:44,319
Speaker 1: The blueberry fucker fungus runs one of the most complicated,

944
00:55:44,400 --> 00:55:48,319
Speaker 1: dastardly scams in nature. When we return, we'll discuss how

945
00:55:48,400 --> 00:55:51,080
Speaker 1: sometimes all we need to do to bamboozle someone is

946
00:55:51,120 --> 00:55:59,520
Speaker 1: to just act casual and blend into the crowd. Sometimes

947
00:55:59,600 --> 00:56:01,759
Speaker 1: the best way to trick someone is to act like

948
00:56:01,760 --> 00:56:04,920
Speaker 1: what you're doing is totally normal. The greatest strength of

949
00:56:05,000 --> 00:56:08,080
Speaker 1: humans can also be our greatest weakness. We are highly

950
00:56:08,160 --> 00:56:11,920
Speaker 1: socially intelligent, and we depend on social groups to survive,

951
00:56:12,280 --> 00:56:15,040
Speaker 1: and other words, were a bunch of conformists. There's a

952
00:56:15,080 --> 00:56:17,760
Speaker 1: famous study in psychology that puts us to the test

953
00:56:17,800 --> 00:56:22,800
Speaker 1: it in an almost unnecessarily humiliating way. The elevator experiment

954
00:56:22,840 --> 00:56:26,040
Speaker 1: was part of the Ash Conformity experiments that looked at

955
00:56:26,080 --> 00:56:29,359
Speaker 1: how people coped with group pressures. Now imagine that you

956
00:56:29,440 --> 00:56:32,160
Speaker 1: normally enter an elevator. You get in, face the wall

957
00:56:32,200 --> 00:56:34,279
Speaker 1: with the doors and all the buttons, and wait while

958
00:56:34,360 --> 00:56:38,960
Speaker 1: desperately holding in that part. And the elevator experiment experimenters

959
00:56:38,960 --> 00:56:42,000
Speaker 1: placed research assistance in the elevator who were instructed to

960
00:56:42,080 --> 00:56:44,239
Speaker 1: face the back wall when they got in with their

961
00:56:44,280 --> 00:56:46,880
Speaker 1: backs turned away from the doors like a couple of idiots,

962
00:56:47,239 --> 00:56:51,120
Speaker 1: except when an unexpecting bystandard got in the elevator, they

963
00:56:51,200 --> 00:56:54,400
Speaker 1: copied the two research assistants, also turning away to face

964
00:56:54,440 --> 00:56:56,680
Speaker 1: the back. So are we all just a bunch of

965
00:56:56,719 --> 00:57:00,879
Speaker 1: stupid cheap well? The ash conformity experiments revealed that while

966
00:57:00,920 --> 00:57:04,440
Speaker 1: people are heavily pressured by crowds and conforming, we're also

967
00:57:04,520 --> 00:57:07,600
Speaker 1: extremely willing to listen to reason. His research show that

968
00:57:07,640 --> 00:57:09,880
Speaker 1: it only took one person going like, hey, why the

969
00:57:09,880 --> 00:57:12,480
Speaker 1: hell are you guys standing backward? You assholes to prevent

970
00:57:12,520 --> 00:57:16,200
Speaker 1: people from falling for the group think um, which, I

971
00:57:16,240 --> 00:57:18,920
Speaker 1: feel like I would be easily tricked by this elevator

972
00:57:18,960 --> 00:57:21,960
Speaker 1: experiment because I've been an elevator where they open on

973
00:57:21,960 --> 00:57:24,640
Speaker 1: one side and then like I'm standing there, you know,

974
00:57:24,680 --> 00:57:27,360
Speaker 1: like like a door like facing the doors, and then

975
00:57:27,520 --> 00:57:29,640
Speaker 1: like ding, and then I hear like from the kind

976
00:57:29,680 --> 00:57:31,640
Speaker 1: of like what there's like a big target on the

977
00:57:31,720 --> 00:57:34,320
Speaker 1: bread that has those elevators where like they open on

978
00:57:34,360 --> 00:57:38,280
Speaker 1: the other side when you go out. I would definitely

979
00:57:38,320 --> 00:57:40,080
Speaker 1: fall for this because like I'm also the type of

980
00:57:40,080 --> 00:57:42,080
Speaker 1: person and like black people joke about this. Alive is

981
00:57:42,120 --> 00:57:44,160
Speaker 1: like if we see other people running, we will start

982
00:57:44,240 --> 00:57:46,160
Speaker 1: running to and we don't need to know why we're

983
00:57:46,240 --> 00:57:48,560
Speaker 1: running or what we're running from or where we're running to.

984
00:57:48,720 --> 00:57:53,200
Speaker 1: We'll figure out when we get there. We're like, there's dangerous,

985
00:57:53,640 --> 00:57:55,720
Speaker 1: so we're going to just run with this group of people.

986
00:57:57,120 --> 00:58:00,240
Speaker 1: Sometimes it's a marathon. Uh. There have been prying shows

987
00:58:00,280 --> 00:58:01,960
Speaker 1: where they just like have a horde of people who

988
00:58:02,080 --> 00:58:05,520
Speaker 1: start running like towards some innocent person and then the

989
00:58:05,560 --> 00:58:09,640
Speaker 1: person's like, oh shit, it's like it's happening, It's finally happening,

990
00:58:09,640 --> 00:58:11,560
Speaker 1: and then they start running away too. I mean that's

991
00:58:12,040 --> 00:58:14,360
Speaker 1: I feel like that's not being gullible. I think that's

992
00:58:14,360 --> 00:58:17,400
Speaker 1: just self preservation because usually when a bunch of people

993
00:58:17,400 --> 00:58:20,240
Speaker 1: are running, you should run, And I think it's also

994
00:58:20,280 --> 00:58:22,800
Speaker 1: self preservation. Sometimes I feel like when we're conforming, because

995
00:58:22,840 --> 00:58:30,160
Speaker 1: it's like sometimes standing out can be dangerous exactly. But

996
00:58:30,360 --> 00:58:33,480
Speaker 1: me too, me too, me as well, I know why

997
00:58:33,520 --> 00:58:37,600
Speaker 1: we're doing this. I'm not even that like I would

998
00:58:37,640 --> 00:58:41,680
Speaker 1: definitely do the same. I'd rather be sometimes. I mean

999
00:58:41,720 --> 00:58:43,400
Speaker 1: it's like I know we're all like, oh, you know,

1000
00:58:43,480 --> 00:58:45,400
Speaker 1: you want you don't want to conform, you don't want

1001
00:58:45,400 --> 00:58:48,160
Speaker 1: to be a sheep. But sometimes I kind of would

1002
00:58:48,280 --> 00:58:51,760
Speaker 1: rather be a sheep than like be the idiot who's like, wait,

1003
00:58:51,760 --> 00:58:58,400
Speaker 1: why is nobody else wat? Aay is nobody else walking?

1004
00:58:59,640 --> 00:59:03,320
Speaker 1: Because it's like an open man hole or right, literally,

1005
00:59:03,320 --> 00:59:05,200
Speaker 1: you don't want to be that one guy whose mask

1006
00:59:05,280 --> 00:59:07,920
Speaker 1: on the back of his head didn't work? Are my

1007
00:59:07,960 --> 00:59:11,000
Speaker 1: ex boyfriend who was wearing robes to the bank, you know,

1008
00:59:11,560 --> 00:59:14,640
Speaker 1: it's like, I guess that's whatever. It doesn't think. It's

1009
00:59:14,720 --> 00:59:17,000
Speaker 1: like what if you want to bank, like wearing a

1010
00:59:17,040 --> 00:59:19,760
Speaker 1: monoground robe and you're like, but my boyfriend said, this

1011
00:59:19,800 --> 00:59:24,520
Speaker 1: is what? This is? What? No, where's my hotel room?

1012
00:59:25,040 --> 00:59:27,360
Speaker 1: Do all your business out of hotel rooms right now?

1013
00:59:28,000 --> 00:59:32,960
Speaker 1: So in the animal kingdom, there's something called wassmanny and mimicry,

1014
00:59:33,800 --> 00:59:36,640
Speaker 1: where the mimic resembles the animal that it's trying to

1015
00:59:36,680 --> 00:59:39,520
Speaker 1: live amongst um. So kind of like it makes me

1016
00:59:39,560 --> 00:59:41,800
Speaker 1: think of that meme with um, what's his name? Who's

1017
00:59:41,840 --> 00:59:49,840
Speaker 1: going like, hello, what's that actor's name? Oh it's Steve Yes, yes, yes, yes, hello,

1018
00:59:49,960 --> 00:59:55,600
Speaker 1: fellow kids, children, Yes, this is exactly that. So typically

1019
00:59:55,720 --> 01:00:00,360
Speaker 1: it's found in insects who are mimicking social insects like ants, bees.

1020
01:00:01,120 --> 01:00:04,360
Speaker 1: So here's an example there are several species of jumping

1021
01:00:04,400 --> 01:00:08,520
Speaker 1: spiders who do this to avoid predation and get lost

1022
01:00:08,560 --> 01:00:13,000
Speaker 1: in the ant crowd. So spider predators like spider wasps,

1023
01:00:13,400 --> 01:00:15,960
Speaker 1: which like to prey on spiders, don't like to prey

1024
01:00:16,000 --> 01:00:20,560
Speaker 1: on ants because ants have zero chill. They will yeah,

1025
01:00:20,600 --> 01:00:23,840
Speaker 1: and they will destroy you. Turn. I stepped in an

1026
01:00:23,840 --> 01:00:27,200
Speaker 1: ampile not too long and they descended on my foot.

1027
01:00:27,320 --> 01:00:30,880
Speaker 1: It was like seconds before, like my whole was yeah,

1028
01:00:30,960 --> 01:00:36,840
Speaker 1: it was like damn, it was accidentally, bit is get

1029
01:00:36,880 --> 01:00:40,560
Speaker 1: kid out here? They come outside and beat me up.

1030
01:00:40,640 --> 01:00:43,479
Speaker 1: I was like damn. It's like when you accidentally bump

1031
01:00:43,520 --> 01:00:45,880
Speaker 1: someone in the grocery store and then they just they

1032
01:00:45,960 --> 01:00:48,360
Speaker 1: don't accept your apology. You're like, oh, I'm sorry, and

1033
01:00:48,400 --> 01:00:53,680
Speaker 1: they're like what we're going asho, dare you. It's like

1034
01:00:53,720 --> 01:00:55,880
Speaker 1: there are people in traffic, like you cut somebody off

1035
01:00:55,880 --> 01:00:57,880
Speaker 1: by acts and you're like sorry that they honk at

1036
01:00:57,880 --> 01:01:02,640
Speaker 1: you for three blocks. Drink It's it's like it's like

1037
01:01:03,040 --> 01:01:05,080
Speaker 1: it's like I want there to be a horn I

1038
01:01:05,120 --> 01:01:07,640
Speaker 1: can press where it's like, yes, I realize I've made

1039
01:01:07,680 --> 01:01:10,200
Speaker 1: a mistake and I'm very sorry about it. Please stop

1040
01:01:10,200 --> 01:01:12,560
Speaker 1: talking at me. I understand my mistake and I will

1041
01:01:12,640 --> 01:01:14,440
Speaker 1: endeavor to not do it again. And I wanted to

1042
01:01:14,440 --> 01:01:17,080
Speaker 1: be that law. Yes, that one you have to pause

1043
01:01:17,080 --> 01:01:19,280
Speaker 1: and let it finish, and then it repeats. I'm really

1044
01:01:19,320 --> 01:01:21,680
Speaker 1: sorry that I did this action. I have apologized. I

1045
01:01:21,720 --> 01:01:24,000
Speaker 1: know I didn't. We all do it. I don't know

1046
01:01:24,040 --> 01:01:26,040
Speaker 1: why people get so angry. I don't know, but yeah,

1047
01:01:26,080 --> 01:01:29,880
Speaker 1: aunts turned up real quickly. They are um, they are,

1048
01:01:29,920 --> 01:01:34,560
Speaker 1: they are on board, uh for I feel like they're

1049
01:01:34,560 --> 01:01:36,800
Speaker 1: also just juiced up. I feel like they're like the

1050
01:01:37,040 --> 01:01:40,720
Speaker 1: roided up yes animal of the animal kingdom or of

1051
01:01:40,760 --> 01:01:43,400
Speaker 1: the insect kingdom, because they can like lift like ten

1052
01:01:43,400 --> 01:01:47,960
Speaker 1: times are a body weight. They're they're like fifty flannel bros,

1053
01:01:48,160 --> 01:01:51,320
Speaker 1: like all like showing up to a party and they

1054
01:01:51,400 --> 01:01:53,760
Speaker 1: all like sign like one of them gets their drink

1055
01:01:53,800 --> 01:01:55,720
Speaker 1: knocked over and they're all like you want to go.

1056
01:01:56,360 --> 01:01:59,960
Speaker 1: They're all on pre workout there drinking pre workout and vodka.

1057
01:02:00,360 --> 01:02:05,320
Speaker 1: These are the antstring for logo. Love for logo, like

1058
01:02:07,320 --> 01:02:13,720
Speaker 1: all the ants is simultaneously unison like flannels off off um.

1059
01:02:13,800 --> 01:02:17,320
Speaker 1: So these jumping spiders who mimic the ants will do

1060
01:02:17,400 --> 01:02:20,720
Speaker 1: a lot to try to really sell the allusions so

1061
01:02:20,760 --> 01:02:25,240
Speaker 1: that big um they can like the jumping spiders are

1062
01:02:25,240 --> 01:02:28,720
Speaker 1: actually quite small. They're pretty cute. I think they're adorable.

1063
01:02:29,120 --> 01:02:32,400
Speaker 1: I know, I know that's a controversial opinion about spiders

1064
01:02:32,400 --> 01:02:34,440
Speaker 1: being cute, But if there is a cute spider, it's

1065
01:02:34,480 --> 01:02:37,080
Speaker 1: the jumping spiders. UM. So I'll show you a couple

1066
01:02:37,080 --> 01:02:41,200
Speaker 1: of pictures of Um, here's the actual ants, and then

1067
01:02:41,200 --> 01:02:44,960
Speaker 1: here's the mimic. This is a spider, and then this

1068
01:02:45,040 --> 01:02:50,320
Speaker 1: is another spider that looks just like the ants. You

1069
01:02:50,320 --> 01:02:53,040
Speaker 1: can tell that the mouth is different, the mandibles are

1070
01:02:53,040 --> 01:02:56,360
Speaker 1: a little different. So ants have those antenna which the

1071
01:02:56,400 --> 01:02:59,040
Speaker 1: spiders don't have. So the spiders will wave their front

1072
01:02:59,120 --> 01:03:03,600
Speaker 1: legs around as if they're antenna. Um. It makes me

1073
01:03:03,640 --> 01:03:06,480
Speaker 1: think of those like videos where like you put human

1074
01:03:06,600 --> 01:03:08,600
Speaker 1: arms around a dog and it's like, look, I'm a

1075
01:03:08,720 --> 01:03:13,240
Speaker 1: human doing science. I love that. That reminds me of UM.

1076
01:03:13,400 --> 01:03:16,360
Speaker 1: One time, my girlfriends and I were trying to get

1077
01:03:16,360 --> 01:03:18,840
Speaker 1: into the v I P. Of this nightclub and it

1078
01:03:18,920 --> 01:03:21,400
Speaker 1: was like they had like really walled up and there

1079
01:03:21,440 --> 01:03:23,760
Speaker 1: were like some really famous people in there. And we

1080
01:03:23,880 --> 01:03:26,000
Speaker 1: walked by a table and there was like a bunch

1081
01:03:26,040 --> 01:03:29,600
Speaker 1: of cups and like supplies on it, and so we

1082
01:03:29,720 --> 01:03:31,840
Speaker 1: just picked that stuff up and held it over our

1083
01:03:31,880 --> 01:03:37,040
Speaker 1: heads like we worked there, Like excuse, that's so good

1084
01:03:37,120 --> 01:03:39,360
Speaker 1: to put these cups ye, jimmy, you know me, we

1085
01:03:39,360 --> 01:03:42,160
Speaker 1: gotta put these cups back here. I think people are

1086
01:03:42,320 --> 01:03:45,560
Speaker 1: so we're so willing, we want to go with the flow.

1087
01:03:45,720 --> 01:03:47,960
Speaker 1: We want things to be normal. That if some if

1088
01:03:48,000 --> 01:03:50,880
Speaker 1: you are confident and you're just like I'm here to

1089
01:03:50,960 --> 01:03:54,040
Speaker 1: do a job, like people's default is like oh yeah, okay, yeah,

1090
01:03:54,080 --> 01:03:57,400
Speaker 1: you've got cups, you're official. I also learned in my

1091
01:03:57,440 --> 01:04:00,400
Speaker 1: Psychology of Marketing class that if you give people want

1092
01:04:00,360 --> 01:04:04,080
Speaker 1: to excuse, any excuse, they're more likely to let you

1093
01:04:04,080 --> 01:04:06,200
Speaker 1: do what you want. So an example, if you want

1094
01:04:06,200 --> 01:04:08,360
Speaker 1: to cut in a line, they can just be like

1095
01:04:09,160 --> 01:04:10,680
Speaker 1: I do all the time at the airport, my flight

1096
01:04:10,720 --> 01:04:13,040
Speaker 1: sporting like do you mind it in front of you?

1097
01:04:13,360 --> 01:04:17,200
Speaker 1: Works every single time, or just any excuse. It doesn't

1098
01:04:17,200 --> 01:04:19,520
Speaker 1: even have to do with the situation. Could be at

1099
01:04:19,520 --> 01:04:21,880
Speaker 1: the air I've got diabetes and then you get the line.

1100
01:04:21,920 --> 01:04:25,160
Speaker 1: It's like, wait, what it works? Just like what I

1101
01:04:25,160 --> 01:04:27,880
Speaker 1: don't know if she got diabetes, so she said she

1102
01:04:28,440 --> 01:04:29,919
Speaker 1: said she got to get through t s a fast

1103
01:04:29,960 --> 01:04:32,360
Speaker 1: because the diabetes gonna flare up. I don't get it.

1104
01:04:32,520 --> 01:04:36,240
Speaker 1: I have my dog has a bladder stone. Okay, so

1105
01:04:36,360 --> 01:04:40,320
Speaker 1: you need your start, sure, yeah, get your Starbucks faster. No,

1106
01:04:40,400 --> 01:04:42,280
Speaker 1: I was just gonna get a lot tame. But if

1107
01:04:42,320 --> 01:04:48,800
Speaker 1: you're dog like, you know how it is your dog? Yeah,

1108
01:04:48,920 --> 01:04:52,880
Speaker 1: okay sure. So some of these um jumping spiders that

1109
01:04:52,920 --> 01:04:56,040
Speaker 1: mimic ants will prey on the ants. Um. They'll like,

1110
01:04:57,360 --> 01:04:59,160
Speaker 1: I know, I know, they're like, I'm just a normal

1111
01:04:59,200 --> 01:05:01,240
Speaker 1: ants And it's like, well wait, why do you have

1112
01:05:01,280 --> 01:05:05,240
Speaker 1: another ant in your mouth? Billy, come back, come back

1113
01:05:05,240 --> 01:05:07,040
Speaker 1: behind this dirt pile. I need you to see something.

1114
01:05:07,280 --> 01:05:11,400
Speaker 1: So some of the some of the other find that picture.

1115
01:05:11,480 --> 01:05:13,720
Speaker 1: So some of the other spiders, the bigger ones that

1116
01:05:13,800 --> 01:05:16,680
Speaker 1: can't get away with being ant sized. Instead they just

1117
01:05:16,800 --> 01:05:22,160
Speaker 1: look like two ants, like carrying another ant. Um. Here

1118
01:05:22,200 --> 01:05:24,480
Speaker 1: it is here, it is here, it is It's so cool. Okay.

1119
01:05:24,520 --> 01:05:28,440
Speaker 1: So this is an image of one spider who looks

1120
01:05:28,520 --> 01:05:33,760
Speaker 1: like two ants. What like, here's the like it looks

1121
01:05:33,800 --> 01:05:36,240
Speaker 1: like one ant and then carrying another aunt because like,

1122
01:05:36,280 --> 01:05:39,520
Speaker 1: and it's got little eyes with anty right exactly. It's

1123
01:05:39,520 --> 01:05:42,480
Speaker 1: got little uh little spots in two places, so it

1124
01:05:42,520 --> 01:05:44,960
Speaker 1: looks like it has two sets of eyes. So it

1125
01:05:45,000 --> 01:05:47,480
Speaker 1: looks like a worker ant carrying like a dead or

1126
01:05:47,520 --> 01:05:50,280
Speaker 1: injured ant um and so it gets away with It's

1127
01:05:50,320 --> 01:05:52,680
Speaker 1: like it's like it's sort of the reverse of like

1128
01:05:52,760 --> 01:05:55,640
Speaker 1: two kids in a trench coat. It's like it's like

1129
01:05:55,800 --> 01:06:03,000
Speaker 1: one person looking like two adults that is insane. And

1130
01:06:03,040 --> 01:06:07,200
Speaker 1: then it's eating ants. Yeah, it's like just a paramedic

1131
01:06:07,200 --> 01:06:11,920
Speaker 1: ant here carrying the injured out actually more ant on

1132
01:06:11,960 --> 01:06:16,120
Speaker 1: the It's like, is that are those two ants eating

1133
01:06:16,160 --> 01:06:20,120
Speaker 1: another ant just doing medicine which is working on and

1134
01:06:20,200 --> 01:06:29,320
Speaker 1: we broke his lick scalpel. Alright, So now, um, I

1135
01:06:29,360 --> 01:06:33,040
Speaker 1: want to talk about zebra coloring because it's a really interesting,

1136
01:06:33,560 --> 01:06:36,000
Speaker 1: uh phenomenon where like you look at the zebra, it's like,

1137
01:06:36,040 --> 01:06:38,440
Speaker 1: that is a stupid animal because if it wants to

1138
01:06:38,520 --> 01:06:42,760
Speaker 1: not stand out, not be spotted by lions, like it's

1139
01:06:43,040 --> 01:06:46,160
Speaker 1: dumb because it's it's it almost looks like white and

1140
01:06:46,200 --> 01:06:48,480
Speaker 1: black right, Like it looks like it's like an alarm

1141
01:06:48,560 --> 01:06:53,880
Speaker 1: sign going like here's a zebra eat it um. Uh.

1142
01:06:54,280 --> 01:06:56,000
Speaker 1: Like it even looks like a diner, you know how

1143
01:06:56,040 --> 01:06:57,960
Speaker 1: like diners like have this sort of like black and

1144
01:06:57,960 --> 01:07:00,560
Speaker 1: white pattern like tapers like like them and dine at

1145
01:07:00,600 --> 01:07:05,640
Speaker 1: the zebra diner um. So actually, uh, there's a few

1146
01:07:05,960 --> 01:07:09,080
Speaker 1: theories as to why these stripes are advantageous and they're

1147
01:07:09,160 --> 01:07:13,800
Speaker 1: really wild. So um zebras are actually have some defense

1148
01:07:13,880 --> 01:07:18,320
Speaker 1: against predators and biting flies because of this coloring. So

1149
01:07:18,680 --> 01:07:22,600
Speaker 1: one way is they confuse predators with what's called motion dazzle,

1150
01:07:22,960 --> 01:07:27,880
Speaker 1: which is like the old razzle does the these zebras

1151
01:07:27,880 --> 01:07:33,800
Speaker 1: are like bootleggers from the twenties or something like kicking

1152
01:07:33,800 --> 01:07:36,200
Speaker 1: the hair feed up. Wait, what, like what do you

1153
01:07:36,200 --> 01:07:37,800
Speaker 1: mean by that? Is it like you look at them,

1154
01:07:37,920 --> 01:07:41,440
Speaker 1: you think you're high for a second. That's also true,

1155
01:07:41,520 --> 01:07:44,600
Speaker 1: but it's like so bold patterns actually can make it

1156
01:07:44,640 --> 01:07:47,640
Speaker 1: difficult to assess speed and direction because of a couple

1157
01:07:47,680 --> 01:07:50,959
Speaker 1: of um illusions. So there are two illusions at play.

1158
01:07:51,000 --> 01:07:53,240
Speaker 1: There's the wagon wheel effects, so like if you've ever

1159
01:07:53,280 --> 01:07:55,960
Speaker 1: seen I mean, we don't see wagon wheels, but it's

1160
01:07:56,000 --> 01:07:58,200
Speaker 1: kind of an antiquated term, like you know how well

1161
01:07:58,400 --> 01:08:02,120
Speaker 1: we wheel? But like when you see like a fan,

1162
01:08:02,640 --> 01:08:04,600
Speaker 1: like a ceiling fan, and sometimes it looks like it's

1163
01:08:04,600 --> 01:08:08,280
Speaker 1: going backwards in a weird way. Um, it's like the

1164
01:08:08,400 --> 01:08:13,160
Speaker 1: motion seems inverted when it's moving fast enough, because like

1165
01:08:13,200 --> 01:08:16,760
Speaker 1: the the light and dark going like light dart like dark.

1166
01:08:17,040 --> 01:08:19,760
Speaker 1: It's like it confuses your visual neurons and it's like

1167
01:08:19,880 --> 01:08:22,120
Speaker 1: because that is the same pattern as it would go

1168
01:08:22,200 --> 01:08:25,400
Speaker 1: in the other direction, so your brain keeps switching it

1169
01:08:25,439 --> 01:08:29,200
Speaker 1: back and forth. So this is similar to the barber

1170
01:08:29,280 --> 01:08:32,280
Speaker 1: pole illusion, which is also in effect with the zebras,

1171
01:08:32,280 --> 01:08:35,000
Speaker 1: where stripes on a barber pole, so it's just a

1172
01:08:35,120 --> 01:08:38,240
Speaker 1: rotating thing inside that. It's like got like a blue

1173
01:08:38,280 --> 01:08:40,720
Speaker 1: and a red band, but it looks like when you

1174
01:08:40,720 --> 01:08:44,280
Speaker 1: look at the pole, looks like the stripes are moving down,

1175
01:08:44,520 --> 01:08:48,400
Speaker 1: like um, vertically along the stripe rather than just turning around.

1176
01:08:48,920 --> 01:08:52,160
Speaker 1: So that's because neurons in the visual cortex have what's

1177
01:08:52,200 --> 01:08:55,720
Speaker 1: called an aperture problem, which is that you only have

1178
01:08:55,800 --> 01:09:00,120
Speaker 1: a limited slice of visual information. You can't take in

1179
01:09:00,280 --> 01:09:03,439
Speaker 1: like everything about the geometry of like that barber pole.

1180
01:09:03,840 --> 01:09:07,320
Speaker 1: So when there are two interpretations which like you have,

1181
01:09:07,640 --> 01:09:10,320
Speaker 1: it's like with the wagon wheel illusion, like you have

1182
01:09:10,760 --> 01:09:14,840
Speaker 1: the visual stimulation of like the stripes going around the

1183
01:09:14,880 --> 01:09:18,000
Speaker 1: pole is actually very similar to how it would look

1184
01:09:18,120 --> 01:09:21,920
Speaker 1: like if they were traveling down. Um, that's my brain

1185
01:09:22,040 --> 01:09:24,559
Speaker 1: is making it seem like it's traveling. It's like it's

1186
01:09:24,600 --> 01:09:27,679
Speaker 1: doing that right, and and in fact, your brain actually

1187
01:09:27,720 --> 01:09:31,720
Speaker 1: will opt for the slower moving interpretation. I'm not really

1188
01:09:31,760 --> 01:09:33,360
Speaker 1: sure why it does that. I think the neurons are

1189
01:09:33,360 --> 01:09:36,760
Speaker 1: just lazy. They're like slow, don't worry about it. This

1190
01:09:36,880 --> 01:09:39,000
Speaker 1: is when our brain just starts to like make stuff up.

1191
01:09:39,400 --> 01:09:41,639
Speaker 1: It's like, yeah, we think it's moving down. We don't

1192
01:09:41,640 --> 01:09:44,360
Speaker 1: really know, but that's what we're gonna that's what we decided,

1193
01:09:44,520 --> 01:09:50,679
Speaker 1: right U. Yeah, Tom said it's moving down and around

1194
01:09:53,080 --> 01:09:57,799
Speaker 1: there's just loud chewing and like like McDonald's papers, like crinkly,

1195
01:09:58,000 --> 01:10:06,519
Speaker 1: like what moving down down. So with the zebras with

1196
01:10:06,600 --> 01:10:09,720
Speaker 1: their stripes, they kind of they reap the advantage of

1197
01:10:09,760 --> 01:10:12,800
Speaker 1: both the barber pool and the wagon wheel allusions, so

1198
01:10:12,920 --> 01:10:16,000
Speaker 1: like uh, and they also when they're moving as a

1199
01:10:16,080 --> 01:10:20,759
Speaker 1: herd um, it just turns into this giant, flickering mass

1200
01:10:20,760 --> 01:10:23,120
Speaker 1: that to like a line, it's like it's it's hard

1201
01:10:23,200 --> 01:10:26,559
Speaker 1: for it to know like what way it's moving, what

1202
01:10:26,720 --> 01:10:29,280
Speaker 1: it's doing, And it's also hard to pick out an

1203
01:10:29,280 --> 01:10:32,280
Speaker 1: individual to like eat, because like you know, if you're

1204
01:10:32,280 --> 01:10:34,840
Speaker 1: a line, you can't just eat all of the zebras

1205
01:10:35,640 --> 01:10:41,679
Speaker 1: you want to write once You probably just can't stop um,

1206
01:10:42,240 --> 01:10:47,040
Speaker 1: Sarah Getti spprinkle. But I mean that's another thing with scammers.

1207
01:10:47,080 --> 01:10:49,080
Speaker 1: You have to isolate a victim, right, Like if you

1208
01:10:49,080 --> 01:10:51,559
Speaker 1: try to scam a group of people, it's harder. No, yeah,

1209
01:10:51,640 --> 01:10:53,559
Speaker 1: because then people can start figuring it out. And you

1210
01:10:53,600 --> 01:10:57,040
Speaker 1: also have to pick victims who are isolated, because if

1211
01:10:57,040 --> 01:10:59,040
Speaker 1: a victim has too many friends and then they go,

1212
01:10:59,080 --> 01:11:01,400
Speaker 1: you know, there I brunch and they're like, yeah, so

1213
01:11:01,520 --> 01:11:04,479
Speaker 1: Ferderico told me I gotta send him seven thousand dollars

1214
01:11:04,800 --> 01:11:07,160
Speaker 1: and then he's gonna get his visa and then he's

1215
01:11:07,160 --> 01:11:09,639
Speaker 1: gonna be able to come over here. But right now

1216
01:11:09,680 --> 01:11:12,800
Speaker 1: he only has a flip phone and he cannot contact

1217
01:11:12,840 --> 01:11:15,360
Speaker 1: me or show me any pictures of him. And you're like, wait,

1218
01:11:15,360 --> 01:11:17,240
Speaker 1: you shouldn't do that, but but no, it's okay. His

1219
01:11:17,360 --> 01:11:20,040
Speaker 1: dog is bladders. Yeah, I know his dog is very

1220
01:11:20,080 --> 01:11:23,080
Speaker 1: much gonna die. I've never seen the dog either, No,

1221
01:11:23,479 --> 01:11:25,639
Speaker 1: but he once did have it bark on the phone,

1222
01:11:25,800 --> 01:11:32,599
Speaker 1: so I know it's real bark bark. Right. Oh, here's

1223
01:11:32,680 --> 01:11:36,720
Speaker 1: here's an image of the barber. Like it looks like

1224
01:11:36,800 --> 01:11:39,320
Speaker 1: it's like just moving moving up And even though I'm

1225
01:11:39,320 --> 01:11:42,400
Speaker 1: trying to tell my brain it's not my brain. Tom

1226
01:11:42,479 --> 01:11:44,000
Speaker 1: is like no, no, no, no, no, we told you

1227
01:11:44,040 --> 01:11:46,080
Speaker 1: it's going right, going up. I mean, that's what's so

1228
01:11:46,160 --> 01:11:49,679
Speaker 1: interesting about illusions is that even once you know the illusion,

1229
01:11:49,760 --> 01:11:53,439
Speaker 1: you can't unsee it, and you you all actually flip

1230
01:11:53,479 --> 01:11:55,880
Speaker 1: back and forth, and sometimes you can force yourself to

1231
01:11:55,920 --> 01:11:59,360
Speaker 1: try to see. So Another use of these stripes is

1232
01:11:59,479 --> 01:12:03,880
Speaker 1: they are unattractive to horse flies, which typically like to

1233
01:12:04,360 --> 01:12:09,280
Speaker 1: bite animals like zebras. But horseflies can't, like they're so

1234
01:12:09,320 --> 01:12:12,280
Speaker 1: stupid that like, and they expect light to act in

1235
01:12:12,280 --> 01:12:15,599
Speaker 1: a certain way. That putting like um, a dark color

1236
01:12:15,640 --> 01:12:18,200
Speaker 1: and a light color next to each other like that

1237
01:12:18,600 --> 01:12:21,400
Speaker 1: is like too confusing for them. And they they're like

1238
01:12:22,000 --> 01:12:25,840
Speaker 1: what you know what, never mind, we'll eat later. Come on, Tim,

1239
01:12:26,560 --> 01:12:31,640
Speaker 1: Like this horse is uh confusing just because it's got

1240
01:12:31,640 --> 01:12:33,840
Speaker 1: different colors, Like it smells like a horse and horse

1241
01:12:33,960 --> 01:12:37,439
Speaker 1: is broken. We don't want any of this nasty horse.

1242
01:12:38,960 --> 01:12:43,000
Speaker 1: Our horseflies like taking our blood out when they yeah, yeah,

1243
01:12:43,080 --> 01:12:49,479
Speaker 1: they're second or juices are delicious juices, horse juice. That's

1244
01:12:49,479 --> 01:12:51,160
Speaker 1: the best situation though, because horse flies i't have to

1245
01:12:51,240 --> 01:12:54,920
Speaker 1: kill anybody. They're just come bite. That's true. Although um,

1246
01:12:55,720 --> 01:12:59,519
Speaker 1: like I'm not I think horse flies might sometimes carry disease,

1247
01:13:00,120 --> 01:13:02,240
Speaker 1: but I think that's the that's the thing that really

1248
01:13:02,280 --> 01:13:06,120
Speaker 1: gets you with like mosquitoes or the u C flies,

1249
01:13:06,200 --> 01:13:08,640
Speaker 1: Like they carry disease and then that's how they So

1250
01:13:08,640 --> 01:13:12,400
Speaker 1: it's not really their fault. It's the diseases that they

1251
01:13:12,479 --> 01:13:17,080
Speaker 1: carry a kind of blame from biting people. Uh yeah,

1252
01:13:17,080 --> 01:13:19,040
Speaker 1: I mean that's a good that's kind of a chicken

1253
01:13:19,080 --> 01:13:21,160
Speaker 1: and the egg thing. Yeah. So like like they get

1254
01:13:21,160 --> 01:13:24,200
Speaker 1: the virus um or the virus directly infects them and

1255
01:13:24,240 --> 01:13:26,840
Speaker 1: then like they'll get it from another infected animal and

1256
01:13:26,840 --> 01:13:28,719
Speaker 1: then they pass it on. But they're like living good

1257
01:13:28,720 --> 01:13:32,960
Speaker 1: with zeka like zoidism. Yeah, yeah exactly. Um I think so.

1258
01:13:33,280 --> 01:13:41,080
Speaker 1: Um So, it's like they're they're the carrier, they're um So, Lacy,

1259
01:13:41,120 --> 01:13:43,160
Speaker 1: I was thinking we could in the show with you

1260
01:13:43,240 --> 01:13:46,400
Speaker 1: talking a little bit about the scams that you know

1261
01:13:46,479 --> 01:13:49,200
Speaker 1: about or the scams that you do. I'm really not

1262
01:13:49,280 --> 01:13:52,559
Speaker 1: insulting you, So I don't talk about the current scams

1263
01:13:52,960 --> 01:13:56,360
Speaker 1: right right, it's like you know, going, but when it's

1264
01:13:56,400 --> 01:14:00,120
Speaker 1: retired and then I'll talk about scam exactly. So the

1265
01:14:00,560 --> 01:14:03,080
Speaker 1: scam Goddess that's coming out with new episodes, right, Yes,

1266
01:14:03,240 --> 01:14:07,280
Speaker 1: so October one, Scam Goddess on Earwolf. We'll be out

1267
01:14:07,320 --> 01:14:10,240
Speaker 1: and we'll have an episode every single week. Yeah, what's happening.

1268
01:14:10,280 --> 01:14:13,000
Speaker 1: We're recording episodes now. It's super fun. This was a

1269
01:14:13,120 --> 01:14:17,400
Speaker 1: part of my inspiration for I love to see all

1270
01:14:17,439 --> 01:14:23,320
Speaker 1: the scammer animals and a scam scaminals. That's the kind

1271
01:14:23,360 --> 01:14:25,240
Speaker 1: of fat I want to have as a scaminal. Yeah.

1272
01:14:25,840 --> 01:14:29,280
Speaker 1: So what some of your advice to to scam which

1273
01:14:30,280 --> 01:14:35,559
Speaker 1: obviously we don't We don't endorse them scam people, but yeah,

1274
01:14:35,680 --> 01:14:37,599
Speaker 1: it depends on what kind of scams you're doing. If

1275
01:14:37,640 --> 01:14:40,519
Speaker 1: you're like scamming and hurting people that I don't approve

1276
01:14:40,520 --> 01:14:44,639
Speaker 1: of that, if you're scamming big faceless corp. Absolutely don't

1277
01:14:44,680 --> 01:14:49,160
Speaker 1: scam old people, scam old companies right exactly, Like they're

1278
01:14:49,200 --> 01:14:52,160
Speaker 1: they're they're scams themselves, Like they've been running scams and

1279
01:14:52,280 --> 01:14:54,559
Speaker 1: work scams. So they need to be like like, scam

1280
01:14:54,560 --> 01:14:59,000
Speaker 1: your Internet provider into giving you new like trial packages

1281
01:14:59,040 --> 01:15:01,880
Speaker 1: and stuff like that. That's that's that's the good scam

1282
01:15:02,080 --> 01:15:05,720
Speaker 1: because they're you know, like they're the scammer exactly. They've

1283
01:15:05,760 --> 01:15:07,799
Speaker 1: they've all ripped us off so much that we deserve.

1284
01:15:08,760 --> 01:15:10,920
Speaker 1: Oh this is a fun one um that I actually

1285
01:15:11,000 --> 01:15:14,960
Speaker 1: learned about. A listener mailed this one in. They said

1286
01:15:14,960 --> 01:15:17,400
Speaker 1: they retired the scams so I could share it, but

1287
01:15:17,439 --> 01:15:19,040
Speaker 1: I think other people should pick it up because I

1288
01:15:19,040 --> 01:15:23,080
Speaker 1: think it could still work. So if you have a

1289
01:15:23,120 --> 01:15:26,200
Speaker 1: friend and you asked and like you asked them to

1290
01:15:26,320 --> 01:15:31,000
Speaker 1: like send you some text messages, so basically you change

1291
01:15:31,040 --> 01:15:35,000
Speaker 1: their name in your phone to like insert whatever food

1292
01:15:35,040 --> 01:15:40,080
Speaker 1: business promotion here, so like insert Taco Bell food promotion right,

1293
01:15:40,120 --> 01:15:42,559
Speaker 1: So you change their name to that in your phone.

1294
01:15:42,720 --> 01:15:46,599
Speaker 1: Then you have them text you a text saying like, oh,

1295
01:15:46,800 --> 01:15:49,960
Speaker 1: you have received a deal deal of the day and

1296
01:15:50,000 --> 01:15:54,000
Speaker 1: it's like ten corn traps for five dollars um offered

1297
01:15:54,240 --> 01:15:57,920
Speaker 1: only for a limited time at participating locations. And then

1298
01:15:58,000 --> 01:15:59,519
Speaker 1: like you have to make sure that the date is

1299
01:15:59,560 --> 01:16:02,720
Speaker 1: about to expire or is already expired, but maybe just

1300
01:16:02,760 --> 01:16:05,280
Speaker 1: like a day or try. And then you go into

1301
01:16:05,360 --> 01:16:07,880
Speaker 1: like these fast food restaurants and you're like, hey, I

1302
01:16:07,880 --> 01:16:12,439
Speaker 1: got this deal promotion for tin five. I know it

1303
01:16:12,439 --> 01:16:14,519
Speaker 1: says it's about to expire, like can I use it?

1304
01:16:14,560 --> 01:16:16,840
Speaker 1: And a lot of times like these, like these fast

1305
01:16:16,880 --> 01:16:21,519
Speaker 1: food chain restaurants don't really communicate they'll honor it. Um,

1306
01:16:21,680 --> 01:16:23,720
Speaker 1: And I was that was a wild because at first

1307
01:16:23,760 --> 01:16:25,759
Speaker 1: I thought you were going to like prank the friend,

1308
01:16:26,040 --> 01:16:30,840
Speaker 1: and it's like it's mean your friends. It's like prank talking.

1309
01:16:30,920 --> 01:16:34,120
Speaker 1: That's fine. And I'm talking about those food scams. As

1310
01:16:34,200 --> 01:16:38,160
Speaker 1: you look up like popular concerts in the area or

1311
01:16:38,160 --> 01:16:41,439
Speaker 1: whatever concerts are happening that day, and then you call

1312
01:16:41,479 --> 01:16:44,800
Speaker 1: ahead to Chipotle and he tells them that you're on

1313
01:16:44,920 --> 01:16:48,000
Speaker 1: tour with whatever concept that's playing whatever venue, and that

1314
01:16:48,080 --> 01:16:50,760
Speaker 1: they love to have some like free burritos because this

1315
01:16:50,960 --> 01:16:57,280
Speaker 1: artist loves these burritos and most of the time and

1316
01:16:57,360 --> 01:17:01,040
Speaker 1: Sharon he loves and he's in love with the shape.

1317
01:17:04,040 --> 01:17:07,680
Speaker 1: I accidentally scammed a restaurant once because um, I was

1318
01:17:07,760 --> 01:17:11,040
Speaker 1: doing a report for school on an Italian chain restaurants.

1319
01:17:11,040 --> 01:17:14,120
Speaker 1: It's like a an anthropology class. I was like comparing

1320
01:17:14,160 --> 01:17:18,080
Speaker 1: like American Italian chains like to to authentic Italian and

1321
01:17:18,120 --> 01:17:21,519
Speaker 1: like what kinds of things they're like mimicking and stuff. Uh,

1322
01:17:21,560 --> 01:17:24,200
Speaker 1: And so I like showed up with like a clipboard.

1323
01:17:24,240 --> 01:17:26,280
Speaker 1: I was like writing things down because like I was

1324
01:17:26,280 --> 01:17:28,040
Speaker 1: trying to take notes and I didn't want to bring

1325
01:17:28,120 --> 01:17:30,360
Speaker 1: my whole laptop, so I was like there with a

1326
01:17:30,400 --> 01:17:32,360
Speaker 1: clip note like writing about the food, and they were

1327
01:17:32,600 --> 01:17:36,479
Speaker 1: so nice to me, and they like gave me extra bread.

1328
01:17:37,080 --> 01:17:40,120
Speaker 1: Came in with a clipboard. Yeah yeah, yeah, listen, a

1329
01:17:40,120 --> 01:17:43,320
Speaker 1: clipboard is in a scammers artillery. Okay, you gotta have

1330
01:17:43,360 --> 01:17:47,200
Speaker 1: a clip right right, It's like uh and I was like, wow, gosh,

1331
01:17:47,240 --> 01:17:51,000
Speaker 1: they sure were nice. They don't know what you're reporting.

1332
01:17:51,040 --> 01:17:53,919
Speaker 1: A lot of times, like food credits, may be shocked

1333
01:17:53,920 --> 01:17:55,720
Speaker 1: how a much stuff you can get for free, right,

1334
01:17:55,800 --> 01:17:58,840
Speaker 1: so if you want, um, I mean you don't necessarily

1335
01:17:59,760 --> 01:18:01,639
Speaker 1: they might not give you free things, but they will

1336
01:18:01,720 --> 01:18:04,360
Speaker 1: be really nice to you. Yeah, um I got I

1337
01:18:04,400 --> 01:18:06,040
Speaker 1: think I got some free bread though they get me

1338
01:18:06,080 --> 01:18:08,640
Speaker 1: extra bread. There are definitely people who will like impersonate

1339
01:18:08,840 --> 01:18:11,880
Speaker 1: famous food critics that people may not necessarily know what

1340
01:18:11,920 --> 01:18:14,760
Speaker 1: their faces. And then those people come in and you

1341
01:18:14,760 --> 01:18:17,559
Speaker 1: can get complimentary meals that way. Are saying that you're

1342
01:18:17,560 --> 01:18:20,360
Speaker 1: writing for like a big right. I think that's kind

1343
01:18:20,360 --> 01:18:22,680
Speaker 1: of mean because like if you like, if you know,

1344
01:18:22,760 --> 01:18:27,960
Speaker 1: like when waiters like but like also the cooks like

1345
01:18:28,040 --> 01:18:31,120
Speaker 1: you have some like like line cooks who are like, oh,

1346
01:18:31,200 --> 01:18:34,040
Speaker 1: I'm really trying hard in the like as well, you

1347
01:18:34,080 --> 01:18:36,839
Speaker 1: gotta get this right, like Gorton Ramsey, like just screaming

1348
01:18:36,920 --> 01:18:40,120
Speaker 1: them out. It's like y'all solving this crap on a

1349
01:18:40,240 --> 01:18:43,240
Speaker 1: plata that would have never happened to me at the

1350
01:18:43,280 --> 01:18:45,920
Speaker 1: restaurant that I worked at ages ago, because we had

1351
01:18:46,000 --> 01:18:49,120
Speaker 1: photos of l a food critics were really so you

1352
01:18:49,200 --> 01:18:52,439
Speaker 1: knew what they're like, like putting like photos of counterfeit

1353
01:18:52,520 --> 01:18:55,320
Speaker 1: dollars up or putting real money n how to be

1354
01:18:55,360 --> 01:18:58,080
Speaker 1: onler If you did get a food back and you're like, oh,

1355
01:18:58,160 --> 01:19:00,320
Speaker 1: I know who you are, you have to I'll give

1356
01:19:00,360 --> 01:19:03,880
Speaker 1: you the goods right like like Gordon Ramsey isn't a

1357
01:19:03,920 --> 01:19:08,960
Speaker 1: twelve year old boy, but like im person Nation. Scams

1358
01:19:09,000 --> 01:19:11,200
Speaker 1: like those are really big. The biggest thing that I

1359
01:19:11,240 --> 01:19:14,000
Speaker 1: tell people though, because on Scam Goddess, we spend a

1360
01:19:14,000 --> 01:19:15,960
Speaker 1: lot of time warning you about scams because we only

1361
01:19:15,960 --> 01:19:18,040
Speaker 1: want you to get involved in my scams. Now I'm

1362
01:19:18,080 --> 01:19:20,240
Speaker 1: running a scam. Please do give me your social Security

1363
01:19:20,320 --> 01:19:22,639
Speaker 1: number spinning a cup and mail it to me. Yeah,

1364
01:19:23,280 --> 01:19:26,200
Speaker 1: I need it, like you wan't like meet a swamman. Okay,

1365
01:19:26,280 --> 01:19:30,479
Speaker 1: I already took your other water bottles. I helpfully labeled

1366
01:19:30,520 --> 01:19:33,200
Speaker 1: it with my credit card information. Yes, that was very

1367
01:19:33,240 --> 01:19:39,800
Speaker 1: helpful of you, right right, no, Um, but one of

1368
01:19:39,840 --> 01:19:42,080
Speaker 1: the biggest things is is like if someone calls you

1369
01:19:42,120 --> 01:19:45,320
Speaker 1: and they're offering you information, like you should always be

1370
01:19:45,320 --> 01:19:47,720
Speaker 1: watching out so like, so think about it, Like when

1371
01:19:47,720 --> 01:19:50,040
Speaker 1: you call your bank, like your bank basically acts like

1372
01:19:50,040 --> 01:19:53,480
Speaker 1: an angry ex girlfriend and interrogates you, like it's like, oh,

1373
01:19:53,520 --> 01:19:56,400
Speaker 1: you're wearing you have a Bank of America account. Okay, sure,

1374
01:19:56,439 --> 01:19:59,400
Speaker 1: what's yourself Okay, what's your day to birth? Okay, what's

1375
01:19:59,439 --> 01:20:01,519
Speaker 1: your last night? What's your first name? Was your middle name?

1376
01:20:01,560 --> 01:20:04,559
Speaker 1: Who is your mama? Who's your mom? And what's your

1377
01:20:04,560 --> 01:20:08,840
Speaker 1: mama's favorite car? Like like they're gonna interrogate you. I

1378
01:20:08,920 --> 01:20:12,800
Speaker 1: heard your mother's dog has bladderstone. What's that dog's name?

1379
01:20:14,960 --> 01:20:16,559
Speaker 1: I don't know. You're not gonna be able to get

1380
01:20:16,560 --> 01:20:19,640
Speaker 1: anybody out of your account if you can't tell me. Um. So,

1381
01:20:19,680 --> 01:20:22,200
Speaker 1: if a scammer calls and they're like, hey, I'm calling

1382
01:20:22,280 --> 01:20:25,200
Speaker 1: from your bank, and here's a reference number. A reference

1383
01:20:25,280 --> 01:20:27,720
Speaker 1: number is like the biggest O G scam things, Like

1384
01:20:27,760 --> 01:20:32,200
Speaker 1: they'll give you some made up numbers too, one zero

1385
01:20:33,600 --> 01:20:36,559
Speaker 1: O nine is your reference number, like and we know

1386
01:20:36,600 --> 01:20:39,240
Speaker 1: it's a scamp. Oh, here's one for all the dog walkers,

1387
01:20:39,240 --> 01:20:42,320
Speaker 1: and we're talking about the animals obviously and animal lovers.

1388
01:20:42,320 --> 01:20:47,400
Speaker 1: I'm sure listen to this podcast. Wags. So you've heard

1389
01:20:47,400 --> 01:20:50,240
Speaker 1: of WAGS, right, is that the walking dog walking service

1390
01:20:50,280 --> 01:20:53,360
Speaker 1: dog walking service with the app. So there's some scammers.

1391
01:20:53,320 --> 01:20:55,600
Speaker 1: This is a recent one that um they'll get on

1392
01:20:55,640 --> 01:20:58,839
Speaker 1: the Wags app and they'll schedule a dog walking session

1393
01:20:58,920 --> 01:21:02,479
Speaker 1: with you and then they'll cancel it and then they'll

1394
01:21:02,520 --> 01:21:04,639
Speaker 1: call you because on the app it's like Uber how

1395
01:21:04,680 --> 01:21:06,600
Speaker 1: like when you can call people because you're about to

1396
01:21:06,640 --> 01:21:08,639
Speaker 1: have service with them, and like you know how Uber

1397
01:21:08,840 --> 01:21:10,960
Speaker 1: like scramble your number when you call the Uber driver

1398
01:21:11,000 --> 01:21:13,320
Speaker 1: and it does the same for them for privacy. So

1399
01:21:13,520 --> 01:21:16,519
Speaker 1: when they've scheduled a dog walk with you, they get

1400
01:21:16,560 --> 01:21:20,840
Speaker 1: access to your contact information through the app. So by

1401
01:21:20,920 --> 01:21:24,760
Speaker 1: canceling the dog walking service that they previously booked with you,

1402
01:21:24,840 --> 01:21:27,479
Speaker 1: then they'll call and be like, Hey, we're calling from

1403
01:21:27,560 --> 01:21:30,840
Speaker 1: Wags and we just canceled your dog walking service. But

1404
01:21:30,880 --> 01:21:33,800
Speaker 1: don't worry, you're going to get a ten dollar cancelation fee.

1405
01:21:34,000 --> 01:21:35,880
Speaker 1: So then that person will go through the app and

1406
01:21:35,960 --> 01:21:38,439
Speaker 1: send ten dollars to the person that they just canceled

1407
01:21:38,439 --> 01:21:42,559
Speaker 1: the walk on then they'll be like, hey, we actually

1408
01:21:42,560 --> 01:21:46,680
Speaker 1: need to reverify your banking information. Um, We're like right

1409
01:21:46,720 --> 01:21:49,080
Speaker 1: after they've sent them money, then they take their banking

1410
01:21:49,080 --> 01:21:54,800
Speaker 1: information and they robbed the dog walker and it's wait

1411
01:21:54,840 --> 01:21:58,000
Speaker 1: wait wait, so so it's a dog walk. Wait, so

1412
01:21:58,000 --> 01:22:00,200
Speaker 1: who's getting scammed? Is it the person with the dog

1413
01:22:00,280 --> 01:22:03,000
Speaker 1: or the person who was the person who walks the dog,

1414
01:22:03,040 --> 01:22:07,679
Speaker 1: which is so sad because the person probably doesn't even

1415
01:22:07,720 --> 01:22:09,960
Speaker 1: have a dog. The scammer is just getting on the

1416
01:22:10,000 --> 01:22:13,040
Speaker 1: app so that they can get in contact with the

1417
01:22:13,160 --> 01:22:15,599
Speaker 1: dog walker. And then it's like and through the app

1418
01:22:15,640 --> 01:22:17,679
Speaker 1: they can pay the dog walker and make it seem

1419
01:22:17,720 --> 01:22:19,960
Speaker 1: like they work for the Apple. I see. It's one

1420
01:22:19,960 --> 01:22:21,880
Speaker 1: of those things where they dangle a little bit of

1421
01:22:21,880 --> 01:22:24,000
Speaker 1: money out for you and then they take all of

1422
01:22:24,000 --> 01:22:26,559
Speaker 1: your money. So it's like it's like, oh, I sorry,

1423
01:22:26,600 --> 01:22:29,200
Speaker 1: I had to cancel here, Um, let me give you

1424
01:22:29,240 --> 01:22:31,080
Speaker 1: ten dollars, but actually, could she give you a social

1425
01:22:31,160 --> 01:22:34,200
Speaker 1: Security number? Right? It's like it's like if I called

1426
01:22:34,200 --> 01:22:37,120
Speaker 1: an Uber driver that I had the number four because

1427
01:22:37,160 --> 01:22:39,640
Speaker 1: I was using the app, and I was like, hey, Tom,

1428
01:22:39,920 --> 01:22:42,400
Speaker 1: that Uber drivers that we actually call him from Uber?

1429
01:22:42,439 --> 01:22:46,760
Speaker 1: It's me um, Mr Uber from San Francisco. Um, yeah, yeah,

1430
01:22:46,800 --> 01:22:48,760
Speaker 1: we just had to cancel that client. But we sent

1431
01:22:48,840 --> 01:22:50,880
Speaker 1: you the cancelation for you. We don't You're banking information

1432
01:22:51,120 --> 01:22:54,320
Speaker 1: is at a date or whatever, and then you give

1433
01:22:54,360 --> 01:22:57,280
Speaker 1: me the information, then I steal it. Yeah yeah, I

1434
01:22:57,320 --> 01:22:59,960
Speaker 1: think for me, like the general thing is like when

1435
01:23:00,000 --> 01:23:02,040
Speaker 1: I get a call from someone like pretending to be

1436
01:23:02,120 --> 01:23:04,400
Speaker 1: the I R S or something, and they're like they're like,

1437
01:23:04,439 --> 01:23:09,280
Speaker 1: you owe taxes, and I'm just like make me because

1438
01:23:09,400 --> 01:23:12,880
Speaker 1: I've actually because I've gotten like actual letters from the

1439
01:23:12,920 --> 01:23:17,320
Speaker 1: I R S. Because like whenever you owe taxes or something, um,

1440
01:23:17,479 --> 01:23:20,840
Speaker 1: the I R S will send you physical mail and

1441
01:23:20,880 --> 01:23:24,120
Speaker 1: they'll be like, hey, you owe some stuff like check

1442
01:23:24,280 --> 01:23:27,439
Speaker 1: like send us, which is so petty, Like I don't

1443
01:23:27,479 --> 01:23:29,920
Speaker 1: get the letter. They're like, hey, hoping this rail or

1444
01:23:29,960 --> 01:23:32,320
Speaker 1: go to jail. Well, I mean they actually don't really

1445
01:23:32,320 --> 01:23:35,040
Speaker 1: threaten you with jail typically, like there they there may

1446
01:23:35,080 --> 01:23:37,040
Speaker 1: be something in the letter which is like you know,

1447
01:23:37,120 --> 01:23:40,440
Speaker 1: like not paying these things we can't result in penalties

1448
01:23:40,560 --> 01:23:43,759
Speaker 1: or something, but they won't call you and be like hey,

1449
01:23:43,880 --> 01:23:46,040
Speaker 1: you need to pay this now or you'll go to jail.

1450
01:23:46,560 --> 01:23:49,120
Speaker 1: They just don't have the resources to send you to jail.

1451
01:23:49,240 --> 01:23:53,320
Speaker 1: They're so underfunded, like they you know, they'll try to

1452
01:23:53,320 --> 01:23:56,880
Speaker 1: get you to pay it, but like it's um. But

1453
01:23:56,920 --> 01:23:58,840
Speaker 1: if someone's calling you, it's like I'm the I R. S.

1454
01:23:58,880 --> 01:24:00,640
Speaker 1: And if you don't pay this, you're in danger of

1455
01:24:00,680 --> 01:24:02,559
Speaker 1: going to jail. It's like no, they don't. They do

1456
01:24:02,640 --> 01:24:04,519
Speaker 1: not have the manpower to do. That's how they call.

1457
01:24:04,560 --> 01:24:10,320
Speaker 1: They call like Hi, it's like maybe please listen, were

1458
01:24:10,320 --> 01:24:14,200
Speaker 1: trying to build a roses okay, and we just really

1459
01:24:14,240 --> 01:24:18,160
Speaker 1: meet right, and you know they're they're not Like it

1460
01:24:18,240 --> 01:24:20,360
Speaker 1: happens all the time too, especially like if you have

1461
01:24:20,479 --> 01:24:23,880
Speaker 1: kind of complicated taxes, um, you know, like you may

1462
01:24:24,040 --> 01:24:26,519
Speaker 1: make a miscalculation and they're just like, hey, this is

1463
01:24:26,520 --> 01:24:29,720
Speaker 1: what you owe or like hey there's something could you

1464
01:24:29,800 --> 01:24:31,800
Speaker 1: tell us what you want, like what you want me

1465
01:24:31,840 --> 01:24:34,240
Speaker 1: to both pay you and figure out what I owe.

1466
01:24:34,320 --> 01:24:38,400
Speaker 1: And that's literally the government's biggest scam is the oh yeah,

1467
01:24:38,439 --> 01:24:41,200
Speaker 1: because like Tiarbo tax uh and other like H and

1468
01:24:41,240 --> 01:24:44,400
Speaker 1: R Blacks and these other like tax prep like companies

1469
01:24:44,520 --> 01:24:49,200
Speaker 1: lobbied against legislation that would have them, uh calculate what

1470
01:24:49,240 --> 01:24:50,760
Speaker 1: we all and just like be like, hey, here's your

1471
01:24:50,760 --> 01:24:53,040
Speaker 1: bill for taxes, which I would be fine with because

1472
01:24:53,040 --> 01:24:54,800
Speaker 1: then it's like then I don't have to do work

1473
01:24:54,840 --> 01:24:56,720
Speaker 1: and oh no, no, no, I need to be able

1474
01:24:56,760 --> 01:24:59,920
Speaker 1: to run my scam. Honestly, my accountant is too low

1475
01:25:00,000 --> 01:25:01,960
Speaker 1: a biting and I'm gonna have to switch him out

1476
01:25:02,000 --> 01:25:04,120
Speaker 1: for more of a like a better call sault type

1477
01:25:04,439 --> 01:25:06,800
Speaker 1: because he'd be trying to follow all the law. And

1478
01:25:07,080 --> 01:25:09,040
Speaker 1: I was like, that's not why I hired you, Like,

1479
01:25:09,160 --> 01:25:12,639
Speaker 1: what is this? I literally like, I was shooting in Savannah,

1480
01:25:12,640 --> 01:25:16,599
Speaker 1: and Savannah took six percent of my earnators for shooting

1481
01:25:16,800 --> 01:25:18,479
Speaker 1: um and it was a series regular role, so they

1482
01:25:18,520 --> 01:25:21,439
Speaker 1: took a lot of money from me. And so when

1483
01:25:21,439 --> 01:25:23,040
Speaker 1: I found out that this was going to happen, my

1484
01:25:23,080 --> 01:25:25,559
Speaker 1: lork my accountant called me and he was like, hey, Lacy,

1485
01:25:25,600 --> 01:25:26,920
Speaker 1: so when you get to Georgia like that, it's going

1486
01:25:27,000 --> 01:25:29,720
Speaker 1: to be a six percent tax for an outside contractor.

1487
01:25:29,880 --> 01:25:31,840
Speaker 1: And I said, okay, so how can we get around that?

1488
01:25:32,439 --> 01:25:35,479
Speaker 1: He said, we can't. It's the law. It's like, what,

1489
01:25:35,840 --> 01:25:38,200
Speaker 1: oh you can side? Are you on? I need to

1490
01:25:38,240 --> 01:25:42,280
Speaker 1: fire you talking about side or the law? Hired shady?

1491
01:25:43,200 --> 01:25:45,600
Speaker 1: What I want you gotta get? You gotta get a

1492
01:25:45,640 --> 01:25:49,160
Speaker 1: sweatier accountant because like you know that, like in movies

1493
01:25:49,200 --> 01:25:55,040
Speaker 1: are always sweaty if they're like you know, yeah, you're right.

1494
01:25:55,080 --> 01:25:58,040
Speaker 1: Mine is like completely dry. He's got photos of his family.

1495
01:25:58,840 --> 01:26:04,679
Speaker 1: It looks like he sleeps. Well, that's not want. What's

1496
01:26:04,680 --> 01:26:10,479
Speaker 1: your favorite scammer like in history? Oh gosh, that's hard

1497
01:26:10,560 --> 01:26:12,960
Speaker 1: because I've fallen in love with a lot of scammers.

1498
01:26:13,160 --> 01:26:16,200
Speaker 1: One that I particularly love a lot. He's actually you

1499
01:26:16,640 --> 01:26:18,920
Speaker 1: heard if you heard the first episode a show that

1500
01:26:18,960 --> 01:26:22,200
Speaker 1: you heard about him. But it's Jerome Jacobs. I love

1501
01:26:22,240 --> 01:26:24,360
Speaker 1: that story. I love him so much. There's another scammer

1502
01:26:24,360 --> 01:26:26,200
Speaker 1: that I'm trying to get the whole story on. But

1503
01:26:26,280 --> 01:26:29,519
Speaker 1: there was a woman and she worked for Walmart and

1504
01:26:29,640 --> 01:26:34,439
Speaker 1: she made over four hundred thousand dollars by just charging

1505
01:26:34,520 --> 01:26:38,840
Speaker 1: customers and extra nickel for a fake item and then

1506
01:26:38,920 --> 01:26:41,639
Speaker 1: taking that nickel out of the register. Oh my god.

1507
01:26:42,240 --> 01:26:44,960
Speaker 1: And I just thought the patient that's like the office

1508
01:26:44,960 --> 01:26:48,160
Speaker 1: space kind of thing, right, Yeah, but yeah, that that

1509
01:26:48,240 --> 01:26:52,719
Speaker 1: takes a lot of She did it for many, many God,

1510
01:26:53,040 --> 01:26:55,719
Speaker 1: she said if people looked gullible, she'd take a quarter.

1511
01:26:56,120 --> 01:27:00,200
Speaker 1: I mean, who checks the receipt for like no bad

1512
01:27:00,360 --> 01:27:02,800
Speaker 1: especially bag fees. Now, if I saw a cord I'd

1513
01:27:02,800 --> 01:27:05,400
Speaker 1: just be like, it's probably like a fee for printing

1514
01:27:05,400 --> 01:27:08,160
Speaker 1: out the receipt or something, right, And also I feel

1515
01:27:08,160 --> 01:27:11,120
Speaker 1: like there's no that's probably the hot new scam is

1516
01:27:11,200 --> 01:27:13,840
Speaker 1: charging for bags but not actually charging for the bag,

1517
01:27:13,920 --> 01:27:16,360
Speaker 1: because I don't think that stores are counting how many

1518
01:27:16,400 --> 01:27:18,760
Speaker 1: bags that they're giving away. Um, I know they're not

1519
01:27:18,800 --> 01:27:20,600
Speaker 1: at rouse because that's my biggest scam. And when I

1520
01:27:20,640 --> 01:27:24,040
Speaker 1: get like the grocery stores, I'll get all my stuff

1521
01:27:24,120 --> 01:27:28,479
Speaker 1: and I'll say no bags. Then I'll pay, and then

1522
01:27:28,479 --> 01:27:30,559
Speaker 1: they'll close the card and then I'm like, I can't

1523
01:27:30,600 --> 01:27:33,479
Speaker 1: carry all this what was that again? And they don't

1524
01:27:33,520 --> 01:27:35,200
Speaker 1: never ring me back up for the bags and just

1525
01:27:35,240 --> 01:27:40,519
Speaker 1: give me the Bag's terrible. Let's self check out. They

1526
01:27:40,560 --> 01:27:43,320
Speaker 1: don't check Oh no, but I feel weird in the

1527
01:27:43,360 --> 01:27:44,960
Speaker 1: self check out, So I'll be like I got three

1528
01:27:45,000 --> 01:27:47,559
Speaker 1: bags when really I got y. That's funny. Yeah, I'll

1529
01:27:47,600 --> 01:27:50,880
Speaker 1: give them a little bit, a little bit at because

1530
01:27:50,920 --> 01:27:53,880
Speaker 1: then I'll go to the regular counter and be like like,

1531
01:27:53,960 --> 01:27:57,559
Speaker 1: I can't carry this grocery car troll be some bad.

1532
01:27:57,680 --> 01:28:00,320
Speaker 1: I think it's because with that, you're like actually giving

1533
01:28:00,360 --> 01:28:03,040
Speaker 1: them a chance to do it. Charge. Yeah, where it's

1534
01:28:03,040 --> 01:28:05,600
Speaker 1: like charge on his like the honor system. And I

1535
01:28:05,640 --> 01:28:08,840
Speaker 1: think it's like maybe it's feels guiltier to like because

1536
01:28:08,840 --> 01:28:10,960
Speaker 1: it's like it's so easy to get away with, right,

1537
01:28:11,320 --> 01:28:14,200
Speaker 1: I don't know what it challenge she loved the challenge

1538
01:28:14,760 --> 01:28:16,600
Speaker 1: might be it for me. I think I might just

1539
01:28:16,880 --> 01:28:24,840
Speaker 1: enjoy duping people. It makes me feel smart. Okay, that's

1540
01:28:24,880 --> 01:28:28,679
Speaker 1: so true. Why do I do that? You don't me?

1541
01:28:29,120 --> 01:28:30,960
Speaker 1: And that it was that? It was okay that I

1542
01:28:31,000 --> 01:28:34,360
Speaker 1: gave you my social Security number? Is I'm just verifying it? Yeah,

1543
01:28:34,400 --> 01:28:36,599
Speaker 1: you're going to turn that into like big investments. Right?

1544
01:28:36,600 --> 01:28:46,080
Speaker 1: Oh of course were credit. That's seating social Security number. Well,

1545
01:28:46,120 --> 01:28:49,360
Speaker 1: thank you so much for joining me having me so

1546
01:28:49,439 --> 01:28:51,920
Speaker 1: tell people where they can find you in more about

1547
01:28:51,920 --> 01:28:55,040
Speaker 1: the podcast. Oh great. So you can find me Um

1548
01:28:55,120 --> 01:28:57,240
Speaker 1: Lacey Mosley at d I V A l A c

1549
01:28:57,479 --> 01:29:00,760
Speaker 1: I DVA Lacey on all platforms Instagram to Twitter, Ben

1550
01:29:00,880 --> 01:29:04,760
Speaker 1: Mode the like. Um. You can follow scam gott Us

1551
01:29:04,800 --> 01:29:07,240
Speaker 1: at scam got Us pod on Twitter and on Instagram.

1552
01:29:07,280 --> 01:29:08,760
Speaker 1: And if you have any scams that you want to

1553
01:29:08,760 --> 01:29:12,920
Speaker 1: share with me that you're retiring or anytime you've been scammed, Uh,

1554
01:29:12,960 --> 01:29:16,439
Speaker 1: scam got his Pod at gmail dot com and don't

1555
01:29:16,520 --> 01:29:20,320
Speaker 1: don't scam the elderly only scam big face lost. Yes, yes,

1556
01:29:20,360 --> 01:29:22,679
Speaker 1: please do not scam the elderly. That is so hurtful.

1557
01:29:22,720 --> 01:29:25,679
Speaker 1: And also, guys, watch Florida Girls on Pop tv um.

1558
01:29:25,960 --> 01:29:27,759
Speaker 1: The whole season is out now, so you can stream

1559
01:29:27,760 --> 01:29:29,920
Speaker 1: the whole thing on or you can get on iTunes

1560
01:29:30,000 --> 01:29:32,920
Speaker 1: or Amazon and download it. It's really fun, guys, And

1561
01:29:32,960 --> 01:29:37,240
Speaker 1: you can follow us on the internets. Uh Creature Feature

1562
01:29:37,320 --> 01:29:41,880
Speaker 1: Pod dot Com, Creature Feature Pod on Instagram, Creature Feet Pod.

1563
01:29:42,000 --> 01:29:45,280
Speaker 1: We couldn't get Creature Feature Pot on Twitter, Creature feet

1564
01:29:45,320 --> 01:29:48,960
Speaker 1: sounds like it's it's not it's f e a T.

1565
01:29:49,560 --> 01:29:52,680
Speaker 1: Don't type in creature f e T because you will

1566
01:29:52,720 --> 01:29:56,800
Speaker 1: get you will get something that's uh not endorsed by

1567
01:29:56,840 --> 01:29:59,960
Speaker 1: this podcast. And you can find me online at Katie

1568
01:30:00,080 --> 01:30:03,280
Speaker 1: Golden Um. And I'm also a bird on Twitter at

1569
01:30:03,320 --> 01:30:06,800
Speaker 1: pro bird Writes, where I am a real, actual, factual bird.

1570
01:30:07,800 --> 01:30:10,479
Speaker 1: The greatest scam ever pulled was birds because they're not

1571
01:30:11,160 --> 01:30:13,200
Speaker 1: they are they are real. I don't know, I don't

1572
01:30:13,200 --> 01:30:18,759
Speaker 1: have to listening to this podcast is Bird Scams, Bird

1573
01:30:18,840 --> 01:30:23,799
Speaker 1: is scams, Birds is Scams. And thanks to the Space

1574
01:30:23,840 --> 01:30:28,480
Speaker 1: Classics for their awesome song exolumina