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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 caretakes are taking

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Speaker 1: a novel approach their bamboos. Holding these pandas into getting

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

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Speaker 1: in Sichuan, China tricks mail pandas into doing sexercize, getting

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

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

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

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Speaker 1: hind legs trying to get a bite of that sweet fruit,

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Speaker 1: they're really working out their hips to be better at

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Speaker 1: making them moves on an email. This is one of

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Speaker 1: the very few of only examples of one species tricking

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Speaker 1: another species into being better at mating. And it's probably

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Speaker 1: because we humans are a bunch of weirdos. But when

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Speaker 1: you explore the animal kingdom, you'll find a great deal

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Speaker 1: of sexual bamboozles. Amongst these perverted connartist creatures. Joining me

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Speaker 1: today is actress, comedian Daily Zeygeister and host of the

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Speaker 1: show Scam Goddess Lacey Mosley. Hey, welcome, Thank you for

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Speaker 1: having me. Of course, uh, I'll of that these pandas

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Speaker 1: all they wanted was an apple, and they got tricked

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Speaker 1: into being really great at grinding. If only we could

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Speaker 1: do this for real mint, I know, I know, just

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

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Speaker 1: trying to get a taco like the football, Like 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 when they're like horning?

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

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Speaker 1: it so that when they do happen to under 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 so I want to

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

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Speaker 1: a real plaice okay island I would like to go to. Yes,

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Speaker 1: So it's named Deception island because it looks like a

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Speaker 1: normal island, but it's actually a caldera, which is a

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Speaker 1: ring around an active volcano. So it's like looks like

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Speaker 1: solid land, but then if you get in, it's just

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Speaker 1: this ring of islands and then ocean. So is it

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Speaker 1: like when those volcanoes like robbed and then they make

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Speaker 1: those ocean islands. It's like one of those islands. Oh yeah,

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Speaker 1: there's like nothing on those. Well, this one actually has

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Speaker 1: things on it, and it's got kind of funny and

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Speaker 1: in silly history, so various countries have tried to declare

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Speaker 1: it belongs to them. So in UM two and argentinean

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

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

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

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

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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 a north

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Speaker 1: Like that's really like back in the day, I truly

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Speaker 1: don't 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? Like that's

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Speaker 1: how you got it? Well? Like I did you just

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

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

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Speaker 1: many crazy things a day. I can't keep up he does.

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Speaker 1: But it was one of those things where I'm like, wait,

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

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Speaker 1: how do people get countries in the first place other

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Speaker 1: than just like war? And like it was like enough

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Speaker 1: people got together, like we're going to decide that this

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Speaker 1: is I mean, that's what happened to America. America had

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Speaker 1: people on it at Native Americans, and then Chris Columbus

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Speaker 1: came and stuck a flag down. Look I discovered it, dude, No,

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Speaker 1: I discovered over here? What about us? Hear? No, No,

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Speaker 1: don't see anything. I don't hear anything. This is my land. Now,

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Speaker 1: that's giving happened. Oh gosh, that the story we get.

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Speaker 1: So a year later after the Argentinian ship like just

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

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Speaker 1: a British ship, being extremely petty in British returned and

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Speaker 1: just like removed the signs and the flags and they're like, nope,

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Speaker 1: it's British again. So they owned it in the first place.

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Speaker 1: I mean no, I don't think anyone really owned it.

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Speaker 1: I think it's under some kind of like shared Antarctic

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Speaker 1: territory treaty um. And then in the nineteen sixties the

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Speaker 1: volcano became active again and it destroyed British and Chilean

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Speaker 1: scientific stations. So they gave up on like trying to

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

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Speaker 1: of lava. No, no, you can have it Argentina right

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Speaker 1: now away. You can have a great Britain like the

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Speaker 1: keep an taxes on it. That right, Argentina got a

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Speaker 1: good deal out of that. Then. Well, the best part

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Speaker 1: about Deception Island is it's home to chin strap penguins,

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Speaker 1: which are cute little penguins who they themselves are little

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Speaker 1: deceivers living on Deception Island? Is it? Okay? So it's

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Speaker 1: well they're penguins. Wait, so it's cold there, So it's

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Speaker 1: an act of Atarctica got it or near an Antarctic

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Speaker 1: So the chin strap penguins and penguins in general have

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Speaker 1: what's called counter shading. So you may wonder, like why

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Speaker 1: would you be where those little tuxedos if you want

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Speaker 1: to like blend in and be noticed. 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 bottom. So like if they're swimming and the

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

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

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

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Speaker 1: that is uh, that is true. Everyone in Florida should

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

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

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

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

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

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Speaker 1: wet suiting takes it off. It's just a Texian. Am

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Speaker 1: I imagining that? Or was that? Or was that in

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Speaker 1: like Austin Powers and I just feel like it. 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 it's shaded towards the bottom.

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Speaker 1: So then that's how you can tell, like, oh, this

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Speaker 1: is a three dimensional object. This is a ball. And

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Speaker 1: then like if you're an animal approaching from above or

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Speaker 1: blow especially in water, it's like, okay, this is an

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Speaker 1: object that is three dimensional, and therefore I can put

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Speaker 1: it in my mouth. So like if it's flat and

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Speaker 1: if you just see like an advertisement for the Hamburger,

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Speaker 1: you don't try, well, most people don't. I sometimes give

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Speaker 1: it a lick, just in case, just in case that

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Speaker 1: they've like Willy Wonka asked, yeah, scratch and wait, did

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Speaker 1: they have scratching licks? I didn't know that. I don't

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Speaker 1: think they scratching. We were licking. We were like with

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Speaker 1: those markers where it was sniff but it was a

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Speaker 1: little bit like grapes. Never tasted like grapes, but it

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Speaker 1: felt like grapes too after a while, like, yeah, I've

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Speaker 1: just sniffing it long enough. Everything everything feels like grapes. Yeah.

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Speaker 1: So here's another fun instance of this time. The chin

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Speaker 1: strap penguins were the were the Bamboozled Party. So in

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

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

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Speaker 1: for being a couple and they were both males, so

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

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Speaker 1: that it was an egg. So they kept trying to

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Speaker 1: hatch it, like sat on the rock and they were

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

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

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

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

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Speaker 1: and the couple hatched it and raised the chick. Ah.

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Speaker 1: That's beautiful. See see why can't people be really like?

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Speaker 1: This was in two thousand and four too, So it's

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Speaker 1: like I feel like the zookeepers were better at being

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Speaker 1: nice to the penguin than like penguins got more rights

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Speaker 1: than gay people. Oh that is unfortunate um. And then

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Speaker 1: one more little bamboosle that these chin strap penguins like

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Speaker 1: to do. And we've actually talked about this a bit

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Speaker 1: on the show about the Adelaide penguins who also do this.

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Speaker 1: So they create their nests out of pebbles because, like

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Speaker 1: I don't know, in Antarctic or on this on Deception Island,

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Speaker 1: there's not much to work with volcanic you're going to

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Speaker 1: be sleeping on rocks. So they will steal pebbles from

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Speaker 1: each other while they're not looking to make their nests better.

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Speaker 1: And we actually I think we talked about this on

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Speaker 1: the first or second episode, but this is a kind

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Speaker 1: of new update where researchers have found that while both

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Speaker 1: males and females will make nests and they'll both steal

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Speaker 1: from each other, in these chin strap populations, the males

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Speaker 1: are bigger assholes. I mean. But so males are more

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

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

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Speaker 1: you see a large stone penguin, you're not working with anything,

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Speaker 1: compensating for a bad career. Uh. And then females are

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Speaker 1: more likely to have their rocks stolen. So I know,

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Speaker 1: so y'all are stealing from the weaker. Second to how

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Speaker 1: to bring feminism to penguin, I mean, they already got

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Speaker 1: gay rights. I don't understand if the whole island is

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Speaker 1: made up of pebbles, like why I think you're stealing

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Speaker 1: specifically from people to be petty, because it's like you're

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Speaker 1: just get some pebbles that aren't lay well. I think

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Speaker 1: the researchers also found that if you if you have

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Speaker 1: more rocks around your nest, and the more rocks, I

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

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Speaker 1: because it like elevates a little bit off the cold ground.

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Speaker 1: And there's just natural stone loss over time because of

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Speaker 1: weather or penguins or like people running around well not people,

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Speaker 1: but penguins running around flags places playing tugo war with

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Speaker 1: a flag saying no, it's miling, No, it's mile. So

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

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

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

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

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

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

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

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

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

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

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Speaker 1: true for every like like twelve rocks the male penguins

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

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Speaker 1: 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 there because they have that. But

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Speaker 1: they have that, but they have that nice but um.

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Speaker 1: They're also called bleeding heart monkeys because they have a

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Speaker 1: red patch on their chest. But 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. They form multi level societies.

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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 a dozen

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Speaker 1: or so females and three or four males. Usually only

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Speaker 1: one of the males is mating with the female's um

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Speaker 1: at once. So it's like a orgy yeah yeah, but

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Speaker 1: it's like an orgy organization or gy org um. And

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Speaker 1: then the next step of gelata society is the bands,

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Speaker 1: and they're made up of about thirty reproductive units. So

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Speaker 1: it's like a bunch of these sex clubs come together

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Speaker 1: for like a convention, and there are herds that are

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Speaker 1: like temporary convoys made up of the report sex club.

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Speaker 1: Right more like so the basic structure trip and then

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Speaker 1: it's like how big? How big is the level? Right? Right? Right?

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

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Speaker 1: got three horses and that's all we're friend And then

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Speaker 1: you know, it grows into like a metropolitan say like

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

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Speaker 1: are we so different though? Everything? Like are you know,

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Speaker 1: it's just more people who in a place having sex

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Speaker 1: or less. You know, like the difference between a librarian

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Speaker 1: and in and out is the number of people having said. Yeah,

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Speaker 1: so let's focus back on that little, that smallest unit,

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Speaker 1: which is the little sex club of like a dozen

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

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Speaker 1: the males is supposed to be the only one reproducing um,

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

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Speaker 1: you know, they like to cheat, so uh, sometimes they

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

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Speaker 1: come on, he's already got like twelve females acting double

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Speaker 1: standards like big love when you're in the harem of women, right,

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Speaker 1: So these cheating pairs have been studied in these observations,

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Speaker 1: you know, like scientists just out there watching these gelata.

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Speaker 1: Is just sciences for science, for science. So often gelattes

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Speaker 1: will vocalize while mating, making happy noises like oh yeah exact, yeah, yeah, yeah, yeah,

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

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

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Speaker 1: they're more Yes, yes, I find this quite this, This

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

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Speaker 1: in addition, good day, wow, so they know they're doing something. Yeah,

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Speaker 1: and if they're caught the male that got cheated on,

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Speaker 1: we'll get really mad and throw a fit and like

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Speaker 1: attack them. And yet domestic just like a real soap

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Speaker 1: opera going on. Um, now when they get caught, like,

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Speaker 1: I wonder, is there someone telling them that that's so interesting?

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Speaker 1: I don't. I don't, like they just happened upon it,

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Speaker 1: like they were going behind a tree, like they're like,

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Speaker 1: wait a minute, there's just like a trail of like

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Speaker 1: clothes shoes. So the society may kind of seem unfair

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Speaker 1: to females at first, but sort of like how lions,

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Speaker 1: it's like 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: but um, so males will sometimes try to take over

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

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

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Speaker 1: 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: And then that comes along. But how do you know

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Speaker 1: if the new guy is going to be good at

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Speaker 1: sex or is it just like, well we don't like

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Speaker 1: our old guy. I guess you just take a gamble on.

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Speaker 1: But yeah, I know he could never find a clid

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

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Speaker 1: typically assert their dominance not by violence, but by occurring

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Speaker 1: favor with the females by grooming them. So if he's

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

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

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Speaker 1: you're never really had charming and we were like your jokes,

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Speaker 1: but really what I made was I was faking. I

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Speaker 1: was faking it those sex screams. So now we're gonna

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Speaker 1: go onto some more dastardly sex capades. Um. So, fireflies

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Speaker 1: are pretty spectacular and romantic, like I always like, you

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Speaker 1: know in romance, you're like, you want to kiss in

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Speaker 1: a field of fireflies, except you don't because then there's

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Speaker 1: probably mosquitoes around. Getting up and catching flireflies 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, literal childhood. 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, which is like

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

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Speaker 1: Prime and Chill? Have we moved on from Netflix and Chills? No,

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Speaker 1: because Amazon Prime doesn't. The thing about Netflix is it

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Speaker 1: has that like automatic like so it's like you don't

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Speaker 1: have to be like you know, like in the middle

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Speaker 1: of like you know, getting the cheeks clapped and then

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Speaker 1: it's like, are you still watching so you can like

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Speaker 1: binge watch the in place while having sex. Yes, yes,

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Speaker 1: and it'll stay on for at least four hours. Yeah,

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Speaker 1: just like just love that ted Dance right now that

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Speaker 1: probably think it goes back to the home screen and

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Speaker 1: next thing, you know, you're just looking at I don't know, landscapes. Yeah,

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Speaker 1: because like if you don't want to, you don't want

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Speaker 1: to like have sex and then have it go to

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Speaker 1: The Great British Bake Off because I mean that show

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Speaker 1: is great, but it is the anti aphrodisiac. Yeah, right, exactly,

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Speaker 1: you needed to keep playing whatever movie or whatever series

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Speaker 1: that you're watching, especially if you have roommates, right right, Wait,

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Speaker 1: what would the roommates would suspect something? Off, like if

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Speaker 1: I think they probably start hearing sex noises if I

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Speaker 1: live alone now, thank god, but I think they start

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Speaker 1: hearing the sex noises. All right, so you kind of

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Speaker 1: needed as kind of a scrambling affright right. It's sort

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Speaker 1: of like when there's that dead air and then the

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Speaker 1: screen goes black and then you just see yourself. Oh yeah, Also,

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Speaker 1: do you want to see your own reflection of you?

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Speaker 1: It's gonna be because it's not going to be like importants,

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

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Speaker 1: in a way you've never seen it before. That is

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Speaker 1: not becoming. Uh, it doesn't all look like That's how

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Speaker 1: I imagine I look. You know, for years I didn't

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Speaker 1: know that people were having sex with the lights off.

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Speaker 1: I was having sex with the lights on all like,

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Speaker 1: oh god, I'm having sex with this new guy. I

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Speaker 1: gotta I can my poses together? Okay, well, speaking of

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Speaker 1: sex with the lights on. Uh, these fireflies, so they

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Speaker 1: do their little beet their butts do the flashing light. Uh.

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Speaker 1: And then but there's a serial killer living amongst these

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Speaker 1: innocent fireflies. All they want to do is have sex

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Speaker 1: with each other. So photerus firefly females are called the

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Speaker 1: fim fatales of the fireflies. A woman who murders snaps women.

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Speaker 1: Have you seen the ads for that? Like show like

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Speaker 1: like why do women kill? Yes? I feel like because

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Speaker 1: they want to get it girl, all those people. Yes,

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00:21:01,560 --> 00:21:07,600
Speaker 1: I actually no curb. Literally it's literally slack. So they

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Speaker 1: live in North America. They mimic the flashing pattern of

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Speaker 1: firefly females of other species, so they're like deeping with

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Speaker 1: their their shiny butts, like, hey, I would like to

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

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Speaker 1: have sex as well, like a little NiFe the male

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Speaker 1: fireflies like what's the knife emoji? Because of how sharp

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Speaker 1: are sex will be. It's you know, that's a funny story.

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Speaker 1: When the male comes over ready to bone, then the

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Speaker 1: photorists will just eat them, just be like, hey, thanks

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Speaker 1: for showing up, munch, give me far like the black

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Speaker 1: woodows at least get hurt and then she's like, okay,

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Speaker 1: now you die right right right, which is you know,

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Speaker 1: like with spiders and mantis is at least they actually

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Speaker 1: do have sex. But this the male gets literally nothing

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Speaker 1: except death. I love it. So this is a form

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00:22:05,640 --> 00:22:09,000
Speaker 1: of aggressive mimicry. So mimicry comes in many different forms.

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Speaker 1: We'll talk more about it later, but aggressive mimicry is

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Speaker 1: when it's a predator or a parasite using the mimicry

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00:22:14,880 --> 00:22:18,359
Speaker 1: to attack their target, but the them fatil fireflight in

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Speaker 1: 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

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Speaker 1: tender dates where it's just they're super annoying and they're

385
00:22:28,440 --> 00:22:32,359
Speaker 1: always like sending you weird pickup lines or like weird erotica.

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00:22:33,960 --> 00:22:37,280
Speaker 1: I haven't had any of that. No one has ever

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00:22:37,440 --> 00:22:40,320
Speaker 1: sent me a penis picture unsolicited. I don't know. Maybe

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00:22:40,320 --> 00:22:41,760
Speaker 1: I have a face that says I don't want to

389
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Speaker 1: see your penis. Also, like, isn't this kind of cannibalism

390
00:22:45,080 --> 00:22:48,560
Speaker 1: because she's a firefly like different species, but they don't

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00:22:48,600 --> 00:22:53,400
Speaker 1: eat like I don't know, well, well, so this one

392
00:22:53,520 --> 00:22:56,439
Speaker 1: is carnivorous. It also has a really good reason for

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00:22:56,480 --> 00:22:59,679
Speaker 1: eating them, other than because they're annoying. So she sucks

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00:22:59,680 --> 00:23:03,320
Speaker 1: the uses out of them. And these juices have chemicals

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Speaker 1: that are essential for her self defense. So when attacked

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00:23:07,080 --> 00:23:12,280
Speaker 1: by predators, fireflies release droplets of blood containing luci boufagins.

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00:23:12,680 --> 00:23:16,480
Speaker 1: I don't I don't know you, but you try to.

398
00:23:16,640 --> 00:23:22,280
Speaker 1: You try to pronounce it lucid luciboufigins. That sounds better

399
00:23:22,320 --> 00:23:27,600
Speaker 1: than what I said, It's still wrong. So these lucibithfiggins

400
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Speaker 1: deter spiders and birds. They're like unpalatable. And the killer

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00:23:33,400 --> 00:23:38,840
Speaker 1: female fireflies don't produce their own lucibithfigins, so she eats

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Speaker 1: hapless sex time gry males of the actual species who

403
00:23:42,240 --> 00:23:44,840
Speaker 1: do produce it, so that she can suck out those

404
00:23:44,880 --> 00:23:49,720
Speaker 1: sweet lucibithigans. Makes sense. She needs them, she needs them,

405
00:23:49,800 --> 00:23:52,159
Speaker 1: she needs them, maybe have everything. Of course, they just

406
00:23:52,200 --> 00:23:54,760
Speaker 1: are fourn with the defense stuff and we have to

407
00:23:54,800 --> 00:23:58,040
Speaker 1: like exactly, we have literally suck it out of men.

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00:23:59,680 --> 00:24:07,119
Speaker 1: So selfish. So fireflies aren't the only animals out there

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Speaker 1: who get preyed upon by a sexy seductor. Humans are

410
00:24:10,119 --> 00:24:13,240
Speaker 1: often the victims of romance scammers, people who go online

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00:24:13,240 --> 00:24:15,720
Speaker 1: and pretend to be some hot guy from Italy who

412
00:24:15,800 --> 00:24:18,480
Speaker 1: just needs five hundred dollars for that plane ticket to

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00:24:18,560 --> 00:24:22,200
Speaker 1: visit you. Researchers looked into the issue of romance scams

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00:24:22,200 --> 00:24:25,639
Speaker 1: and catfishing and found there are some shared personality traits

415
00:24:25,640 --> 00:24:29,119
Speaker 1: among those who get scammed it's not just being gullible,

416
00:24:29,240 --> 00:24:31,680
Speaker 1: no matter how smart you are, you're always susceptible, but

417
00:24:31,960 --> 00:24:35,400
Speaker 1: being conned, especially if it taps into one of your vulnerabilities.

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00:24:35,960 --> 00:24:39,159
Speaker 1: People who are targeted by romance scammers tended to score

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00:24:39,280 --> 00:24:42,640
Speaker 1: higher on a romantic belief scale and believed in things

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00:24:42,720 --> 00:24:45,640
Speaker 1: such as love finds a Way or love at first

421
00:24:45,720 --> 00:24:49,640
Speaker 1: sight and there was one true soulmate out there. So,

422
00:24:49,720 --> 00:24:51,960
Speaker 1: in other words, it's hard to blame the victims when

423
00:24:51,960 --> 00:24:54,280
Speaker 1: there's a bunch of rom coms out there hawking these

424
00:24:54,320 --> 00:24:57,240
Speaker 1: same ideas, teaching us that it's normal for some hot

425
00:24:57,280 --> 00:24:59,880
Speaker 1: Italian stranger to declare their love to us and fly

426
00:25:00,040 --> 00:25:02,919
Speaker 1: halfway across the world to meet us. One way to

427
00:25:03,000 --> 00:25:07,080
Speaker 1: inoculate yourself against scammers, maybe to become the scammer, at

428
00:25:07,160 --> 00:25:10,360
Speaker 1: least to pretend to become a scammer. When we get back,

429
00:25:10,359 --> 00:25:13,600
Speaker 1: we'll discuss how learning to impersonate can help both humans

430
00:25:13,640 --> 00:25:22,879
Speaker 1: and animals survive. I'm sure you've heard endless chatter about

431
00:25:23,000 --> 00:25:26,800
Speaker 1: fake news. Some news story or Twitter talks about fake news,

432
00:25:26,800 --> 00:25:29,399
Speaker 1: and then that story gets called out for being fake news,

433
00:25:29,600 --> 00:25:31,879
Speaker 1: and then there's such an endless back and forth between

434
00:25:32,000 --> 00:25:34,679
Speaker 1: people yelling fake news. How are you supposed to be

435
00:25:34,720 --> 00:25:37,400
Speaker 1: able to sift through what's real and what's fake. There

436
00:25:37,400 --> 00:25:40,399
Speaker 1: are fact checking websites out there, but they themselves may

437
00:25:40,440 --> 00:25:43,480
Speaker 1: have their own biases, and there's no fact checkers checking

438
00:25:43,520 --> 00:25:47,240
Speaker 1: the fact checkers. So instead of taking someone's else's word

439
00:25:47,280 --> 00:25:48,960
Speaker 1: for it, there may be a way for you to

440
00:25:49,000 --> 00:25:53,439
Speaker 1: become an expert propaganda and misinformation detector by becoming a

441
00:25:53,600 --> 00:25:58,240
Speaker 1: misinformation and propagandist. A University of Cambridge study created a

442
00:25:58,240 --> 00:26:01,520
Speaker 1: game where you become the propaganda ist. It introduces you

443
00:26:01,560 --> 00:26:06,720
Speaker 1: and teaches you how to master six techniques of spreading misinformation, polarization,

444
00:26:06,880 --> 00:26:12,080
Speaker 1: invoking emotions, spreading conspiracy theories, trolling people online, deflecting blame,

445
00:26:12,400 --> 00:26:15,679
Speaker 1: and impersonating fake accounts. Of course, this is not a

446
00:26:15,720 --> 00:26:18,840
Speaker 1: complete list of all the various ways that propaganda is spread,

447
00:26:19,080 --> 00:26:21,639
Speaker 1: but it's start. The goal of the game is to

448
00:26:21,680 --> 00:26:25,800
Speaker 1: gather followers and credibilities metrics which are programmed into the game.

449
00:26:26,200 --> 00:26:29,320
Speaker 1: The researchers found that participants who played the game became

450
00:26:29,400 --> 00:26:33,399
Speaker 1: better at identifying made up news headlines when tested. In fact,

451
00:26:33,440 --> 00:26:36,520
Speaker 1: the greatest improvement in skepticism was found amongst those who

452
00:26:36,520 --> 00:26:40,040
Speaker 1: were initially more glible. This is very encouraging because it

453
00:26:40,080 --> 00:26:43,040
Speaker 1: means we can learn to become more savvy consumers of media.

454
00:26:43,600 --> 00:26:46,680
Speaker 1: Or maybe I just made up the soul study huh huh,

455
00:26:46,800 --> 00:26:49,920
Speaker 1: No I didn't, Or did I Now I didn't. You

456
00:26:49,960 --> 00:26:51,879
Speaker 1: can look it up. It's by John rousen Beak and

457
00:26:52,000 --> 00:26:56,160
Speaker 1: Sander van der Linden, published in Palgrave Communications five, article

458
00:26:56,240 --> 00:27:01,359
Speaker 1: number six, five, two thousand nineteen. Or was it that

459
00:27:01,480 --> 00:27:05,840
Speaker 1: last name sounded hell of fake? I know Sandra vander Lindon.

460
00:27:07,080 --> 00:27:11,399
Speaker 1: Sandra vander Linden. Yeah, it's like a Lisa and Bart pranks,

461
00:27:11,480 --> 00:27:16,640
Speaker 1: like like, I'm Sandra vander Linden. Can I speak to seymore?

462
00:27:16,800 --> 00:27:24,320
Speaker 1: But a study published in the Journal of Buttology. No,

463
00:27:24,440 --> 00:27:27,520
Speaker 1: that's legit though that as a scammer and I'm a

464
00:27:27,560 --> 00:27:30,120
Speaker 1: professed scammer. I tell me why I'm running small scams

465
00:27:30,119 --> 00:27:34,080
Speaker 1: and cons um The more you know about scams, the

466
00:27:34,119 --> 00:27:37,200
Speaker 1: better you aren't identifying that. Yeah, because there's like tell

467
00:27:37,240 --> 00:27:40,160
Speaker 1: tell signs that once you start to get your finger

468
00:27:40,200 --> 00:27:42,440
Speaker 1: on it, you're like, wait a minute, Like because if

469
00:27:42,440 --> 00:27:44,920
Speaker 1: you if you have long enough to think, so what

470
00:27:45,119 --> 00:27:47,760
Speaker 1: it is about gullibility to it is about how desperate

471
00:27:47,760 --> 00:27:49,960
Speaker 1: you are to want something like if you want it

472
00:27:50,000 --> 00:27:53,199
Speaker 1: really badly. And three, it's also sometimes about time, like

473
00:27:53,320 --> 00:27:56,000
Speaker 1: if someone catches you when you're like really sleepy, or

474
00:27:56,040 --> 00:27:57,800
Speaker 1: you're in a rush, or you don't have time to

475
00:27:57,880 --> 00:28:00,159
Speaker 1: really think about what they're saying to you, of an

476
00:28:00,200 --> 00:28:02,840
Speaker 1: opportunity to scam right, Which is kind of crazy because

477
00:28:02,840 --> 00:28:04,959
Speaker 1: that's when people read the news, like in the morning,

478
00:28:05,080 --> 00:28:07,439
Speaker 1: right before work, like when you're sort of in a rush,

479
00:28:07,560 --> 00:28:09,840
Speaker 1: or like if you're like checking Twitter, like when you're

480
00:28:09,880 --> 00:28:12,600
Speaker 1: on break, and you don't have a lot of times

481
00:28:13,040 --> 00:28:16,320
Speaker 1: right right, right exactly, so you're not always on your

482
00:28:16,359 --> 00:28:18,440
Speaker 1: a game. So if there's like a news story that's

483
00:28:18,480 --> 00:28:23,840
Speaker 1: like you know, like birds aren't real, Like you're like, yeah, sure, okay, no, yeah,

484
00:28:23,920 --> 00:28:26,040
Speaker 1: actually on the news, girl, I said, the birds not real,

485
00:28:27,920 --> 00:28:32,280
Speaker 1: hald drones, they're watching us, They're watching That's what they

486
00:28:32,280 --> 00:28:37,760
Speaker 1: said last night at eleven, Like sure, fine, I'll believe that. Also,

487
00:28:37,880 --> 00:28:41,800
Speaker 1: romance scams are like a hundred forty three million dollar industry,

488
00:28:42,000 --> 00:28:45,200
Speaker 1: Are you kidding? Yeah, so much money is made off

489
00:28:45,320 --> 00:28:47,480
Speaker 1: romance scams, and a lot of it is because people

490
00:28:47,480 --> 00:28:50,120
Speaker 1: are just so lonely, and I think that's so sad.

491
00:28:50,520 --> 00:28:53,600
Speaker 1: Really said and they tend to skew older too, right, yes,

492
00:28:54,000 --> 00:28:58,080
Speaker 1: and also like but older and also younger, like young

493
00:28:58,720 --> 00:29:00,800
Speaker 1: women and men with a lot of just posible come

494
00:29:00,920 --> 00:29:03,360
Speaker 1: especially like they're very susceptible because they don't when you

495
00:29:03,360 --> 00:29:05,640
Speaker 1: were younger, like I remember when I was nineteen, like right,

496
00:29:06,040 --> 00:29:08,080
Speaker 1: people just say stuff to me. They made no sense.

497
00:29:08,160 --> 00:29:10,480
Speaker 1: And it wasn't until I became like an adult that

498
00:29:10,520 --> 00:29:13,760
Speaker 1: I was like, oh, or like my one of my

499
00:29:13,840 --> 00:29:16,200
Speaker 1: ex boyfriends in college had a whole sugar daddy, and

500
00:29:16,240 --> 00:29:19,640
Speaker 1: I know something was off, but he had a sugar daddy.

501
00:29:19,640 --> 00:29:21,880
Speaker 1: It was like like, like okay. So we went to

502
00:29:21,920 --> 00:29:25,480
Speaker 1: school and our campus was like ten minutes away from

503
00:29:25,560 --> 00:29:29,760
Speaker 1: his internship, which was downtown. So he if they worked late,

504
00:29:30,160 --> 00:29:32,640
Speaker 1: the sugar daddy would get them a hotel and they

505
00:29:32,680 --> 00:29:35,320
Speaker 1: would stay downtown. And he lived ten minutes away from home.

506
00:29:36,200 --> 00:29:37,920
Speaker 1: I was like, you don't ever need to stay at

507
00:29:37,960 --> 00:29:40,680
Speaker 1: home toil with this man? What is And I was

508
00:29:40,760 --> 00:29:42,320
Speaker 1: young though, so I was like, I guess that's how

509
00:29:42,360 --> 00:29:44,440
Speaker 1: they'd be working in the bank in the industry. I

510
00:29:44,560 --> 00:29:49,400
Speaker 1: don't know. I don't work in the bank. Weirdly sweaty

511
00:29:49,440 --> 00:29:53,280
Speaker 1: at the bank. Oh my god. They had robes that

512
00:29:53,320 --> 00:29:55,360
Speaker 1: were like he would tell me all this stuff. I

513
00:29:55,360 --> 00:29:57,360
Speaker 1: don't know why did not put two and two together.

514
00:29:57,640 --> 00:30:03,080
Speaker 1: It was like robes that were monogramed, or like bank robes.

515
00:30:03,720 --> 00:30:06,000
Speaker 1: You know what the bank bankers wear, you know what

516
00:30:06,040 --> 00:30:07,840
Speaker 1: the bank? You know what the bank when they have

517
00:30:07,960 --> 00:30:10,040
Speaker 1: the robes, the terry cloth robes. Don't know what I'm

518
00:30:10,040 --> 00:30:13,840
Speaker 1: talking about. You'll need those robes to handle the money.

519
00:30:13,880 --> 00:30:19,920
Speaker 1: Don't make it weird. I wonder if there's like a

520
00:30:19,960 --> 00:30:23,479
Speaker 1: perfect age at which we are immune to scam. I

521
00:30:23,520 --> 00:30:26,760
Speaker 1: feel like it's got to be like thirty five and

522
00:30:26,840 --> 00:30:29,120
Speaker 1: that's it. Yeah. I feel like at thirty five, you're

523
00:30:29,160 --> 00:30:33,200
Speaker 1: probably like a little bit more of a skeptic, but

524
00:30:33,320 --> 00:30:36,760
Speaker 1: you're not like old enough that you're like worried about

525
00:30:37,360 --> 00:30:39,400
Speaker 1: I guess what I'm trying to say is like when

526
00:30:39,440 --> 00:30:41,320
Speaker 1: you get older, you as you also start to fall

527
00:30:41,360 --> 00:30:43,719
Speaker 1: out of the way of technology. So the thirty five

528
00:30:43,760 --> 00:30:45,880
Speaker 1: I feel like you're in tune with all the technology

529
00:30:45,920 --> 00:30:48,840
Speaker 1: that's currently happening. You probably know how to text and

530
00:30:48,880 --> 00:30:51,720
Speaker 1: cinemogs and skype, FaceTime and everything. But I feel like

531
00:30:51,760 --> 00:30:54,800
Speaker 1: the older you get, because there's grandpa scams to grandparents

532
00:30:54,840 --> 00:30:58,920
Speaker 1: scams and um, and those on average grandparents are sending

533
00:30:58,960 --> 00:31:03,080
Speaker 1: like nine thousand dollars to scammers. That's so sad, ye

534
00:31:03,360 --> 00:31:06,960
Speaker 1: who are pretending to be their grandchildren. And with Facebook,

535
00:31:07,000 --> 00:31:09,000
Speaker 1: you can get on Facebook and learn everything you need

536
00:31:09,040 --> 00:31:13,160
Speaker 1: to know about someone, click around to find their grandchildren. Um,

537
00:31:13,200 --> 00:31:15,400
Speaker 1: and even people put up videos so you can learn

538
00:31:15,440 --> 00:31:18,960
Speaker 1: how to mimic people's voices. It's so easy with deep fake.

539
00:31:19,080 --> 00:31:22,960
Speaker 1: Now it's it's that's game over. Like once someone deep

540
00:31:23,040 --> 00:31:26,160
Speaker 1: fakes a video of you going like, hey, grandma, it's me,

541
00:31:26,320 --> 00:31:30,720
Speaker 1: I need nine thousand dollars for a bail and that's

542
00:31:30,720 --> 00:31:33,320
Speaker 1: what they do. They call um. Actually just did a

543
00:31:33,360 --> 00:31:36,800
Speaker 1: show about one where the phone call started as like,

544
00:31:37,320 --> 00:31:41,400
Speaker 1: don't be afraid. It's me. I'm your grandson's defense attorney.

545
00:31:41,480 --> 00:31:43,480
Speaker 1: He got into a d U I accident and he

546
00:31:44,160 --> 00:31:48,320
Speaker 1: starts off with, don't be afraid. I trust it so much,

547
00:31:49,480 --> 00:31:52,120
Speaker 1: don't be afraid. So but the thing is going to

548
00:31:52,200 --> 00:31:54,280
Speaker 1: be afraid. But he told me not to so Muchill

549
00:31:54,640 --> 00:31:57,560
Speaker 1: I'm good. Naturally when I pick up the phone, I'm afraid,

550
00:31:58,120 --> 00:32:00,720
Speaker 1: all right, I'm just I'm on the needles. When I

551
00:32:00,720 --> 00:32:03,120
Speaker 1: answered the column, waiting for someone to reassure me not

552
00:32:03,200 --> 00:32:06,080
Speaker 1: to be afraid. But that's the thing that was like

553
00:32:06,480 --> 00:32:10,320
Speaker 1: when you learn certain scams or get into like scamming,

554
00:32:10,400 --> 00:32:11,920
Speaker 1: you start to hear things like that and you go

555
00:32:12,000 --> 00:32:15,120
Speaker 1: with the like, this is great. But if you're not

556
00:32:15,280 --> 00:32:17,440
Speaker 1: involved in that stuff, like your study was saying, I

557
00:32:17,480 --> 00:32:19,720
Speaker 1: think that you're less likely to pinpoint it sometimes, like

558
00:32:19,760 --> 00:32:21,080
Speaker 1: if they catch you at the right time because they

559
00:32:21,080 --> 00:32:23,080
Speaker 1: call late at night or really really early in the

560
00:32:23,080 --> 00:32:26,520
Speaker 1: morning to write. Yeah, it's interesting because I feel like

561
00:32:26,800 --> 00:32:31,560
Speaker 1: as a former psychology study research assistant, I was basically

562
00:32:31,640 --> 00:32:34,520
Speaker 1: running scams as well, because you just you have to

563
00:32:34,600 --> 00:32:36,560
Speaker 1: lie to people in order to test them because they

564
00:32:36,600 --> 00:32:39,520
Speaker 1: can't know what you're testing otherwise that influences the results.

565
00:32:40,040 --> 00:32:42,960
Speaker 1: So there were some really weird studies. One of them

566
00:32:43,040 --> 00:32:45,840
Speaker 1: was I had to convince these guys that we had

567
00:32:45,880 --> 00:32:49,880
Speaker 1: a special camera that monitored their sexual arousal by looking

568
00:32:49,880 --> 00:32:52,720
Speaker 1: at their pupil dilation, and then we showed them a

569
00:32:52,840 --> 00:32:56,800
Speaker 1: sexy video and like I had to be really in college,

570
00:32:56,840 --> 00:33:01,280
Speaker 1: I was not cool. It's I just wasn't cool, and

571
00:33:01,360 --> 00:33:04,880
Speaker 1: I had I wasn't able to really I didn't know

572
00:33:04,880 --> 00:33:07,680
Speaker 1: how to lie. I was just you know, kind of

573
00:33:07,920 --> 00:33:10,160
Speaker 1: kind of doofy and stuff. I mean, you have like

574
00:33:10,200 --> 00:33:12,480
Speaker 1: such an honest face. Though you have like these bright

575
00:33:12,560 --> 00:33:14,680
Speaker 1: blue eyes. I feel like if you tell me things,

576
00:33:14,720 --> 00:33:17,560
Speaker 1: I would believe them. It's my honest face a k

577
00:33:18,280 --> 00:33:21,160
Speaker 1: looking always startled, or as if someone who's farted in

578
00:33:21,200 --> 00:33:24,760
Speaker 1: the room. Hey, it works, it works. I have the

579
00:33:24,760 --> 00:33:28,760
Speaker 1: face of a liar people people, people know what I'm talking.

580
00:33:29,120 --> 00:33:32,760
Speaker 1: If I'm breathing, I'm lying. And I mean because I

581
00:33:32,800 --> 00:33:35,280
Speaker 1: have to work real hard to convince people when I

582
00:33:35,320 --> 00:33:38,280
Speaker 1: am lying, I wouldn't say that, but then I have

583
00:33:38,360 --> 00:33:42,440
Speaker 1: the face of a gullible person. So and then the

584
00:33:42,480 --> 00:33:45,680
Speaker 1: guys would sometimes question me like say like, wait, how

585
00:33:45,680 --> 00:33:49,000
Speaker 1: can camera tell like I'm aroused? And it's like you know,

586
00:33:49,800 --> 00:33:53,240
Speaker 1: by detecting your pupils And they're like, well, am I

587
00:33:53,280 --> 00:33:55,800
Speaker 1: aroused right now? Like I don't know. If I'm not

588
00:33:55,960 --> 00:34:00,200
Speaker 1: the camera, I can't tell that guy's a camera. It

589
00:34:00,280 --> 00:34:04,600
Speaker 1: was like sounds. I didn't get good at scamming people,

590
00:34:04,720 --> 00:34:06,360
Speaker 1: or I didn't get good at like lying, but I

591
00:34:06,400 --> 00:34:10,560
Speaker 1: did learn like to do not trust anyone because if

592
00:34:10,600 --> 00:34:13,960
Speaker 1: I couldn't trust me, who can I trust? Right? And

593
00:34:14,080 --> 00:34:17,440
Speaker 1: that's the thing too, is it's like also your experience

594
00:34:17,920 --> 00:34:20,399
Speaker 1: is that will also cater to like how easily you're

595
00:34:20,400 --> 00:34:23,319
Speaker 1: scam if you're someone who's had more privileged life, you know,

596
00:34:23,400 --> 00:34:26,480
Speaker 1: people in your life have genuinely not been shady. If

597
00:34:26,520 --> 00:34:29,560
Speaker 1: you have access to a lot of money, those people

598
00:34:30,000 --> 00:34:33,759
Speaker 1: easiest to scam. Yeah, because you've been insulated in a

599
00:34:33,800 --> 00:34:37,320
Speaker 1: bubble and everyone's treated you well up until, Like, you

600
00:34:37,360 --> 00:34:40,040
Speaker 1: don't know how other people live. So someone does tell you,

601
00:34:40,080 --> 00:34:43,319
Speaker 1: like they work in diamond dealing, and it's dangerous that

602
00:34:43,400 --> 00:34:46,560
Speaker 1: people are following them, like the arrested development, Like how

603
00:34:46,640 --> 00:34:52,360
Speaker 1: much can banana's cost twelve dollars? I don't know. I

604
00:34:52,360 --> 00:34:55,440
Speaker 1: mean I think because I do look kind of innocent.

605
00:34:55,640 --> 00:34:57,600
Speaker 1: I think like a lot of people have tried to

606
00:34:57,600 --> 00:34:59,719
Speaker 1: take advantage of me, so I've kind of learned a

607
00:34:59,760 --> 00:35:02,360
Speaker 1: lot over the years. Like I remember in high school,

608
00:35:02,360 --> 00:35:04,520
Speaker 1: I was super gloable. People were always teasing me and

609
00:35:04,640 --> 00:35:06,680
Speaker 1: bullying me in a sort of funny way that like

610
00:35:06,760 --> 00:35:08,960
Speaker 1: even now I can like that was pretty funny, but

611
00:35:09,160 --> 00:35:12,480
Speaker 1: like the only person looking back fondly on the bullying, right,

612
00:35:12,600 --> 00:35:15,319
Speaker 1: I think about that, well, I mean I was I

613
00:35:15,360 --> 00:35:17,680
Speaker 1: was bullying. That was not so fun, But you know

614
00:35:17,800 --> 00:35:20,760
Speaker 1: the fun bowling where it's like oh, look at the ceiling, Katie,

615
00:35:20,800 --> 00:35:22,759
Speaker 1: and I would or like like, oh, did you know

616
00:35:22,800 --> 00:35:25,520
Speaker 1: if you like shake a salt salt shaker on your tongue,

617
00:35:25,520 --> 00:35:27,400
Speaker 1: you can like taste it them. I'm they're like looking

618
00:35:27,480 --> 00:35:32,319
Speaker 1: like I'm, you know, going off. So another thing you

619
00:35:32,360 --> 00:35:37,719
Speaker 1: can't trust is caterpillars. What a segue? Oh I'm great

620
00:35:37,760 --> 00:35:40,879
Speaker 1: at segways. On this show, we're going to learn that

621
00:35:41,160 --> 00:35:44,480
Speaker 1: just like humans can defend ourselves by learning to mimic

622
00:35:44,520 --> 00:35:47,000
Speaker 1: our predators, so can animals. And we're going to start

623
00:35:47,000 --> 00:35:51,239
Speaker 1: off with a very naughty little caterpillar. Um So, the

624
00:35:51,280 --> 00:35:54,480
Speaker 1: hawk moth caterpillar of Central and South America mimics the

625
00:35:54,560 --> 00:35:59,640
Speaker 1: look of vipers by inflating itself like a balloon. Need

626
00:35:59,680 --> 00:36:02,480
Speaker 1: to make it look like a snake, right, So they

627
00:36:02,520 --> 00:36:05,960
Speaker 1: have these big fake eye spots and fake reptile scales,

628
00:36:06,000 --> 00:36:08,120
Speaker 1: and they puff up their front parts and wave them

629
00:36:08,120 --> 00:36:11,440
Speaker 1: around to look like a snakehead. They'll even like undulate

630
00:36:11,440 --> 00:36:15,759
Speaker 1: and do Monck strikes. So I've got a video of

631
00:36:15,800 --> 00:36:20,640
Speaker 1: this alright, So here's the hawksmouth caterpillar. That's the cat.

632
00:36:20,719 --> 00:36:23,720
Speaker 1: Oh my, it looks like a snake. This is crazy.

633
00:36:23,800 --> 00:36:26,560
Speaker 1: Now it looks so it like twists itself around and

634
00:36:26,600 --> 00:36:31,239
Speaker 1: then it inflates itself, just like part of it so

635
00:36:31,360 --> 00:36:33,239
Speaker 1: part of it still skinny, and then it kind of

636
00:36:33,280 --> 00:36:37,160
Speaker 1: creates a bulb at one end that looks like a snakehead.

637
00:36:37,280 --> 00:36:41,880
Speaker 1: And it's extremely convincing like that, even even biologists and

638
00:36:41,920 --> 00:36:45,040
Speaker 1: researchers who know about this caterpillar and are actively looking

639
00:36:45,080 --> 00:36:48,879
Speaker 1: for it when they see it there. Yeah, because it's

640
00:36:48,960 --> 00:36:52,480
Speaker 1: we're so programmed to be afraid of snakes that if

641
00:36:52,480 --> 00:36:55,560
Speaker 1: you see this, you're gonna jump. Now the fake eys

642
00:36:55,600 --> 00:36:57,799
Speaker 1: at all? This is this the butt part of the caterpillar.

643
00:36:57,960 --> 00:37:00,759
Speaker 1: I think it's the front part actually, Like, oh wow,

644
00:37:00,800 --> 00:37:03,480
Speaker 1: because I thought it was eaten. Now I think that is.

645
00:37:03,560 --> 00:37:06,680
Speaker 1: I think that is the front part. Oh okay, because

646
00:37:06,719 --> 00:37:08,080
Speaker 1: I was like, that would be fly if you could

647
00:37:08,080 --> 00:37:09,840
Speaker 1: just make your booty look like a snake, but you

648
00:37:09,840 --> 00:37:12,840
Speaker 1: could just eat Yeah, there are examples. So auto mimicry

649
00:37:13,000 --> 00:37:16,399
Speaker 1: is a type of mimicry where you are mimicking your

650
00:37:16,440 --> 00:37:19,400
Speaker 1: own body parts. So there are caterpillars and animals that

651
00:37:19,480 --> 00:37:23,880
Speaker 1: have eyes on their butt um, and there's a there's

652
00:37:23,920 --> 00:37:27,200
Speaker 1: this owl called the North American pygmy owl that has

653
00:37:27,280 --> 00:37:29,680
Speaker 1: eyes on the back of its head. Um, here's a

654
00:37:29,760 --> 00:37:34,400
Speaker 1: picture of that, so you can see from a distance

655
00:37:34,520 --> 00:37:36,920
Speaker 1: that you would just think and it's looking at you

656
00:37:37,160 --> 00:37:39,959
Speaker 1: right exactly. And alics can swivel their heads around. So

657
00:37:40,239 --> 00:37:42,520
Speaker 1: this is like the next technology. They're like women need,

658
00:37:42,760 --> 00:37:47,000
Speaker 1: like walking home at night, a whole face on the

659
00:37:47,040 --> 00:37:49,560
Speaker 1: back of my head. I feel like if you had

660
00:37:49,600 --> 00:37:52,720
Speaker 1: two faces, that would be enough of a deterrent, like

661
00:37:52,719 --> 00:37:57,680
Speaker 1: like two faces, Like, she's a look crazier than what

662
00:37:57,719 --> 00:38:02,879
Speaker 1: I bargained for. Well actually, so um. In Indian Bangladesh,

663
00:38:02,960 --> 00:38:06,920
Speaker 1: in tiger territory, people used to try to wear masks

664
00:38:06,960 --> 00:38:09,680
Speaker 1: on the back of their heads to prevent tiger attacks

665
00:38:09,719 --> 00:38:13,120
Speaker 1: because they would attack you from behind. But they were

666
00:38:13,120 --> 00:38:15,520
Speaker 1: only able to do it for a few months because

667
00:38:15,560 --> 00:38:18,759
Speaker 1: reportedly the tigers like cut onto it and they learned

668
00:38:18,760 --> 00:38:22,320
Speaker 1: to differentiate between the fake mask and like the real face.

669
00:38:23,000 --> 00:38:25,680
Speaker 1: Right now, that's very smart. So I wonder who who

670
00:38:25,760 --> 00:38:27,759
Speaker 1: was the first guy to get attacked. He was like, no, no, not,

671
00:38:27,760 --> 00:38:32,200
Speaker 1: don't worry, I got my face mask. Do the first one.

672
00:38:32,600 --> 00:38:35,480
Speaker 1: It's like, it's just a really bad face mask. And

673
00:38:35,480 --> 00:38:37,799
Speaker 1: then they turned around in their face also looks like that.

674
00:38:37,840 --> 00:38:39,680
Speaker 1: I was like, I don't know what we're wrong. It

675
00:38:39,800 --> 00:38:46,080
Speaker 1: was a perfect resemblance. That is a form of the

676
00:38:46,080 --> 00:38:48,919
Speaker 1: The caterpillar pretending to be a form is a form

677
00:38:48,960 --> 00:38:51,880
Speaker 1: of Baitsian mimicry. So that's a harmless animal mimicking a

678
00:38:51,960 --> 00:38:56,000
Speaker 1: dangerous animal animal in order to scare off would be attackers.

679
00:38:56,160 --> 00:39:00,719
Speaker 1: In addition to the caterpillar, other examples are taste butterflies

680
00:39:00,920 --> 00:39:06,000
Speaker 1: mimicking the epis semitic coloration of unpalatable butterflies and moths.

681
00:39:06,080 --> 00:39:08,200
Speaker 1: Like butterflies that will make like if a bird eats

682
00:39:08,239 --> 00:39:11,759
Speaker 1: that butterfly, it'll vomit. Those tend to be like like

683
00:39:11,840 --> 00:39:15,080
Speaker 1: green and red. Yeah, like these bright colors like monarchs

684
00:39:15,080 --> 00:39:20,840
Speaker 1: are a good example. Um monarchs aren't delicious, No, okay,

685
00:39:21,040 --> 00:39:27,280
Speaker 1: they do look delicious, though I do buttery. There's there's

686
00:39:27,320 --> 00:39:29,560
Speaker 1: a complex math to this actually, because if you have

687
00:39:29,680 --> 00:39:35,720
Speaker 1: too many mimics who taste great mimicking the unpalatable mimics,

688
00:39:35,840 --> 00:39:38,839
Speaker 1: then it gets all skewed where predators don't learn, so

689
00:39:38,880 --> 00:39:42,400
Speaker 1: they'll just like because the signal has too much noise.

690
00:39:42,680 --> 00:39:46,040
Speaker 1: The predators lead all these tasty molds and only occasionally

691
00:39:46,080 --> 00:39:48,800
Speaker 1: eat the moth or the butterfly. That is actually toxic.

692
00:39:49,560 --> 00:39:51,160
Speaker 1: So they're kind of messing up the game for the

693
00:39:51,200 --> 00:39:55,320
Speaker 1: person who is toxic because they like to take my

694
00:39:55,480 --> 00:39:59,560
Speaker 1: chances right exactly. Like if like most ice cream you

695
00:39:59,719 --> 00:40:03,040
Speaker 1: ate taste great, but like one once in a hundred

696
00:40:03,080 --> 00:40:06,799
Speaker 1: like it tasted like like, then you'd still eat ice cream. Yeah,

697
00:40:06,840 --> 00:40:11,400
Speaker 1: I probably would risk of that as Yeah. So so

698
00:40:11,440 --> 00:40:13,560
Speaker 1: this really is kind of ruining it for the people

699
00:40:13,560 --> 00:40:17,440
Speaker 1: who had the armor right exactly. So the populations actually

700
00:40:17,520 --> 00:40:20,600
Speaker 1: you see like these populations rising in declining as they

701
00:40:20,640 --> 00:40:22,719
Speaker 1: kind of balance out because there has to be this

702
00:40:22,800 --> 00:40:29,440
Speaker 1: balance of mimic population to the actual true signal population. Um. So,

703
00:40:30,200 --> 00:40:32,279
Speaker 1: Another example, and this is just kind of funny, is

704
00:40:32,320 --> 00:40:35,920
Speaker 1: there be flies who are totally harmless that look like bees.

705
00:40:36,040 --> 00:40:38,160
Speaker 1: But they're really funny because they're just these little they

706
00:40:38,200 --> 00:40:41,000
Speaker 1: look like little poofballs with with eyes and they're they're

707
00:40:41,040 --> 00:40:43,919
Speaker 1: just harmless flies. But I would never know these. I've

708
00:40:43,920 --> 00:40:45,960
Speaker 1: never known if I've seen a bee fly before. I

709
00:40:46,000 --> 00:40:49,319
Speaker 1: think the first time I saw one was um I

710
00:40:49,360 --> 00:40:52,080
Speaker 1: think I saw one in the Sequoias and it was

711
00:40:52,200 --> 00:40:54,160
Speaker 1: really funny because I thought it was a be, but

712
00:40:54,200 --> 00:40:56,560
Speaker 1: it was also a lot less agile than it look

713
00:40:56,640 --> 00:41:03,640
Speaker 1: like a great value brand, like one of those ice

714
00:41:03,680 --> 00:41:07,600
Speaker 1: cream trucks serving like pocket Monster like ice creams where

715
00:41:07,600 --> 00:41:12,560
Speaker 1: it's like Pikachu but it's all meltysed to be never

716
00:41:12,680 --> 00:41:19,000
Speaker 1: were like it's it's sponge Guy, the poke Man, get

717
00:41:19,000 --> 00:41:22,359
Speaker 1: a Pokemon ice scream. I mean, I feel like this

718
00:41:22,400 --> 00:41:25,360
Speaker 1: would work on humans too, Like you know how um

719
00:41:25,360 --> 00:41:27,839
Speaker 1: Like when the whole tide Pod thing was a mean

720
00:41:28,440 --> 00:41:31,600
Speaker 1: people were making like tide Pod jello shots and tide

721
00:41:31,600 --> 00:41:36,120
Speaker 1: Pod colored cupcakes and cookies like as a joke. But

722
00:41:36,239 --> 00:41:38,359
Speaker 1: I feel like if someone handed me a jello shot

723
00:41:38,400 --> 00:41:40,560
Speaker 1: that looked like a tide pod, I wouldn't want to

724
00:41:40,600 --> 00:41:43,759
Speaker 1: eat it because it would discuss. I would feel like

725
00:41:43,920 --> 00:41:45,960
Speaker 1: I was maybe going to eat a tide pot, right,

726
00:41:46,120 --> 00:41:48,839
Speaker 1: It's kind of like how um I think they're there.

727
00:41:49,320 --> 00:41:52,120
Speaker 1: There's been some research to show that when you have

728
00:41:52,280 --> 00:41:55,480
Speaker 1: a certain flavor associated with cleaning products in a country,

729
00:41:55,840 --> 00:41:58,480
Speaker 1: like there's a less gum that comes in that flavor,

730
00:41:58,480 --> 00:42:01,400
Speaker 1: whereas like if in another country eat like the gum

731
00:42:01,520 --> 00:42:04,840
Speaker 1: or that kind of flavoring isn't like a minty flavor

732
00:42:04,880 --> 00:42:07,520
Speaker 1: being used in cleaning products. It's not, it's less likely

733
00:42:07,600 --> 00:42:09,400
Speaker 1: to be to be because you don't want to consume

734
00:42:09,440 --> 00:42:12,560
Speaker 1: it exactly. Oh that makes total sense. I would turn

735
00:42:12,600 --> 00:42:14,160
Speaker 1: me off to I wonder what kind of gum they're

736
00:42:14,200 --> 00:42:18,560
Speaker 1: eating in Mexico because fabuloso flavor um and it's all delicious.

737
00:42:19,840 --> 00:42:22,120
Speaker 1: Why do they make it look so good? They make

738
00:42:22,160 --> 00:42:24,520
Speaker 1: it look too good. It's like a bright color like

739
00:42:24,600 --> 00:42:27,520
Speaker 1: candy apple, grereen and chin and blue, and then it

740
00:42:27,640 --> 00:42:31,640
Speaker 1: smells like candy. And then I'm like, but I can't

741
00:42:31,680 --> 00:42:36,399
Speaker 1: eat it? But or can I can? I? I mean

742
00:42:36,440 --> 00:42:39,960
Speaker 1: we learned with tide pots. Have you have you seen those? Um?

743
00:42:40,000 --> 00:42:44,600
Speaker 1: Like their coffee mug shaped like toilets? Yeah, I don't

744
00:42:44,640 --> 00:42:47,240
Speaker 1: understand it because any any time, like there's some cute

745
00:42:47,239 --> 00:42:49,600
Speaker 1: see things like oh, here's a cookie but it shaped

746
00:42:49,640 --> 00:42:52,640
Speaker 1: like a poop emoji or like here's like the want

747
00:42:53,200 --> 00:42:56,480
Speaker 1: that eat poop. Yeah. Somebody had a baby shower cake

748
00:42:56,520 --> 00:43:00,279
Speaker 1: once and they had a very realistic of vagina. Yeah,

749
00:43:00,440 --> 00:43:03,880
Speaker 1: with the baby hand was coming out. It was like

750
00:43:03,920 --> 00:43:08,000
Speaker 1: would you like to eat this? Yeah, a lot of

751
00:43:08,000 --> 00:43:11,400
Speaker 1: people would like to eat it, um, but but it

752
00:43:11,480 --> 00:43:17,840
Speaker 1: was like a baby birth reaching the Yeah. And I

753
00:43:17,920 --> 00:43:20,600
Speaker 1: was like they did as a joke and I'm like, also,

754
00:43:20,640 --> 00:43:23,160
Speaker 1: I don't want to eat I don't ever want to

755
00:43:23,160 --> 00:43:25,959
Speaker 1: eat a baby shaped cake. Um. But also I saw

756
00:43:26,040 --> 00:43:27,960
Speaker 1: I saw a baby cake where it was like the

757
00:43:28,040 --> 00:43:31,319
Speaker 1: stomach was transparent. It was like this baby fetus in

758
00:43:31,400 --> 00:43:38,719
Speaker 1: this transparent jellow cab. I don't under we've just because

759
00:43:38,760 --> 00:43:42,719
Speaker 1: we can doesn't mean we should. Yeah, our society, man,

760
00:43:43,000 --> 00:43:44,839
Speaker 1: I would eat a cake shape like a baby, though,

761
00:43:45,600 --> 00:43:47,240
Speaker 1: I don't know. If I give me a little baby

762
00:43:47,239 --> 00:43:50,520
Speaker 1: foot baby, I already want to eat baby cheeks. I

763
00:43:50,680 --> 00:43:53,640
Speaker 1: don't literally want to eat a baby, but I just

764
00:43:53,680 --> 00:43:57,239
Speaker 1: wanted like nibble. That's true, just like yeah, yeah, just

765
00:43:57,280 --> 00:44:04,320
Speaker 1: like it. So there's another kind of mimicry called Mularian mimicry,

766
00:44:04,400 --> 00:44:08,440
Speaker 1: when it's two or more dangerous animals that develop a

767
00:44:08,520 --> 00:44:11,640
Speaker 1: similar look so that that signal. Like we talked about,

768
00:44:11,680 --> 00:44:15,719
Speaker 1: it's important that predators actually learned that that signal so

769
00:44:15,760 --> 00:44:18,279
Speaker 1: they don't eat you otherwise it's useless. So when you

770
00:44:18,360 --> 00:44:24,320
Speaker 1: have too dangerous um or toxic animals teaming up looking alike,

771
00:44:24,480 --> 00:44:26,919
Speaker 1: than their signal is going to be even stronger. So

772
00:44:27,239 --> 00:44:30,720
Speaker 1: an example of this is the viceroy and monarch butterflies

773
00:44:30,800 --> 00:44:34,279
Speaker 1: that are both mildly toxic to toxic, and they look

774
00:44:34,400 --> 00:44:37,160
Speaker 1: very similar they basically look the same. It's really hard

775
00:44:37,200 --> 00:44:41,200
Speaker 1: to differentiate them, and there's actually some human examples. So

776
00:44:41,320 --> 00:44:46,040
Speaker 1: evolutionary zoologist Thomas in Shat claims that marketers engage in

777
00:44:46,320 --> 00:44:50,880
Speaker 1: this mulary in mimicry where products are colored similarly to

778
00:44:51,160 --> 00:44:54,560
Speaker 1: signal brand identification better. So that would kind of be

779
00:44:54,600 --> 00:44:58,320
Speaker 1: like Baitsian mimicry, So like a some Coke off brand,

780
00:44:58,480 --> 00:45:00,879
Speaker 1: like trying to look like a Coke bottle, or having

781
00:45:00,880 --> 00:45:05,440
Speaker 1: the same like Dr Pepper and Mr Pitts exactly exactly,

782
00:45:06,000 --> 00:45:08,640
Speaker 1: or like the I can't believe it's not butter. Have

783
00:45:08,680 --> 00:45:10,960
Speaker 1: you seen like all the variations of that where it's

784
00:45:11,000 --> 00:45:14,279
Speaker 1: like butter, No, I can't believe it. It's like, I

785
00:45:14,280 --> 00:45:17,960
Speaker 1: don't know, it's not Maybe it's like the same kind

786
00:45:17,960 --> 00:45:20,560
Speaker 1: of swooping texts like like the blue on yellow or

787
00:45:20,560 --> 00:45:26,600
Speaker 1: whatever it is, it's like butter. Nah, maybe no, this

788
00:45:26,680 --> 00:45:33,880
Speaker 1: isn't butter. Or is it the taste of butter? Perhaps

789
00:45:34,960 --> 00:45:39,440
Speaker 1: the cousin of butter butter. You be the judge, and

790
00:45:39,480 --> 00:45:41,399
Speaker 1: I would go for that. I mean, that's I mean,

791
00:45:41,440 --> 00:45:45,080
Speaker 1: that's what Walmart is. Every great value product is literally

792
00:45:45,280 --> 00:45:50,680
Speaker 1: so close to cheerios, cheery boys, and then the kind

793
00:45:50,680 --> 00:45:53,640
Speaker 1: of Mularian mimicry where it's like their signal boosting each

794
00:45:53,640 --> 00:45:56,840
Speaker 1: other is like chip flavors often have similar colors, so

795
00:45:57,000 --> 00:46:00,759
Speaker 1: like cool, ranch is like blue, salt and vinegar is

796
00:46:00,800 --> 00:46:05,200
Speaker 1: like green exactly, red and yellow is just like you know,

797
00:46:05,440 --> 00:46:10,760
Speaker 1: basic basic chip. Yeah. Um, so that's kind of interesting

798
00:46:10,760 --> 00:46:13,319
Speaker 1: to me. It's like butterflies do it and chips do it.

799
00:46:15,040 --> 00:46:18,719
Speaker 1: So there's other forms, interesting forms of defensive mimicry. Um.

800
00:46:18,800 --> 00:46:21,279
Speaker 1: So there are these three snakes who live in North

801
00:46:21,320 --> 00:46:24,800
Speaker 1: Central and South America who look almost identical, the milk snake,

802
00:46:24,920 --> 00:46:28,879
Speaker 1: the false coral snakes, and the deadly coral snakes. So

803
00:46:28,960 --> 00:46:32,160
Speaker 1: the milk snakes are harmless, the false coral snakes are

804
00:46:32,520 --> 00:46:35,880
Speaker 1: moderately toxic and venomous um, and the deadly coral snakes

805
00:46:35,880 --> 00:46:40,319
Speaker 1: are um. So there's a mnemonic device to try to

806
00:46:40,360 --> 00:46:43,600
Speaker 1: tell the difference between these snakes. It goes red on

807
00:46:43,719 --> 00:46:47,200
Speaker 1: yellow kills a fellow, Red on black venom black. Or

808
00:46:47,280 --> 00:46:49,560
Speaker 1: there's another one that's like red touches black, it's a

809
00:46:49,560 --> 00:46:52,120
Speaker 1: friend of jack, Red touches yellow. It's a bad for

810
00:46:52,200 --> 00:46:54,719
Speaker 1: a fellow, or I didn't mean to do that, as

811
00:46:54,760 --> 00:47:01,040
Speaker 1: like Italian it's a bad for a red touches yellow,

812
00:47:01,080 --> 00:47:04,880
Speaker 1: you're a dead fellow, Red touches black, you're okay, jack. Um,

813
00:47:04,920 --> 00:47:07,359
Speaker 1: I've never been able to learn these because I'm just

814
00:47:07,440 --> 00:47:10,840
Speaker 1: like red on yellow good for a fellow, red on black,

815
00:47:10,840 --> 00:47:15,239
Speaker 1: you're okay, jack. You know it's completely confusing to close,

816
00:47:15,480 --> 00:47:19,120
Speaker 1: but like you should, regardless of whether they confuse you,

817
00:47:19,120 --> 00:47:23,040
Speaker 1: you should completely ignore these poems. They are useless. Researchers

818
00:47:23,040 --> 00:47:26,040
Speaker 1: have found that there's no reliable color pattern that can

819
00:47:26,040 --> 00:47:29,160
Speaker 1: help you determine the harmless snakes from the deadly coral snakes.

820
00:47:29,320 --> 00:47:32,319
Speaker 1: So if you see like red touches yellow, just like,

821
00:47:32,360 --> 00:47:36,640
Speaker 1: stay away from these snakes, right, don't be like, okay,

822
00:47:36,719 --> 00:47:40,680
Speaker 1: red touches yellow or red touches black, rob it all

823
00:47:40,719 --> 00:47:44,960
Speaker 1: over your back. Um. So you might think that in

824
00:47:44,960 --> 00:47:47,480
Speaker 1: this case, the milk snake and the false coral snakes

825
00:47:47,520 --> 00:47:49,960
Speaker 1: are mimicking the deadly coral snake as a kind of

826
00:47:50,000 --> 00:47:53,279
Speaker 1: Baitsia mimicry, but it's Some biologists actually argue that this

827
00:47:53,360 --> 00:47:58,200
Speaker 1: is called Martensian mimicry um, where a deadly animal mimics

828
00:47:58,239 --> 00:48:01,719
Speaker 1: a less deadly but still harm full animal. Because if

829
00:48:01,719 --> 00:48:04,440
Speaker 1: you're deadly, it's hard to teach a predator a lesson

830
00:48:04,560 --> 00:48:07,560
Speaker 1: because if they eat you, then they die, but you

831
00:48:07,680 --> 00:48:12,799
Speaker 1: also die. So so if you mimic a slightly less

832
00:48:12,840 --> 00:48:17,120
Speaker 1: deadly animal but that's still toxic, then the predators live,

833
00:48:17,440 --> 00:48:19,600
Speaker 1: but they learned that that is a yucky snake, and

834
00:48:19,600 --> 00:48:23,160
Speaker 1: then they won't eat you, which is kind of a

835
00:48:23,239 --> 00:48:28,799
Speaker 1: convoluted thing, and it's not it's somewhat. I can't tell

836
00:48:28,840 --> 00:48:32,239
Speaker 1: my friends about the snake that I ate if I'm

837
00:48:32,280 --> 00:48:35,920
Speaker 1: did right exactly, you can't do that anyways. I've found

838
00:48:35,920 --> 00:48:39,719
Speaker 1: people don't like it. I hate a snake last week,

839
00:48:39,760 --> 00:48:45,480
Speaker 1: and then then they're like, okay, well do snakes tastes good? Alligator,

840
00:48:45,760 --> 00:48:48,120
Speaker 1: don't think they taste super good. I think it's hard

841
00:48:48,160 --> 00:48:51,239
Speaker 1: to cook them without them getting really chalky. Yeah, and

842
00:48:51,320 --> 00:48:55,240
Speaker 1: like dried out. It's just useless. They're just useless little

843
00:48:55,320 --> 00:49:00,759
Speaker 1: news like biting noodles, noodles. There's also Gilbertian emacry, so

844
00:49:00,800 --> 00:49:04,080
Speaker 1: this is an interesting one. Uh here's an example. So

845
00:49:04,160 --> 00:49:08,640
Speaker 1: passion flowers have developed growths that look like butterfly eggs

846
00:49:08,719 --> 00:49:12,200
Speaker 1: to deter butterflies from laying their eggs on them, exposing

847
00:49:12,200 --> 00:49:17,359
Speaker 1: them to caterpillars. So Basically Gilbertian mimicry is you're the

848
00:49:17,440 --> 00:49:22,040
Speaker 1: victim of parasites that then mimics the parasite in order

849
00:49:22,080 --> 00:49:25,880
Speaker 1: to trick the parasite into not bothering you. Right, So

850
00:49:25,920 --> 00:49:28,959
Speaker 1: this is like if um, oh, this is so dark,

851
00:49:29,040 --> 00:49:31,160
Speaker 1: but it's like if someone shooting and you just lay

852
00:49:31,200 --> 00:49:34,160
Speaker 1: down and pretend you've already been shot, pretty much. And

853
00:49:34,239 --> 00:49:37,480
Speaker 1: so it's like, these these passion flowers actually have developed

854
00:49:37,480 --> 00:49:40,279
Speaker 1: growth that look like butterfly eggs. So the butterfly who

855
00:49:40,360 --> 00:49:42,719
Speaker 1: normally likes to lay their eggs on these flowers will

856
00:49:42,719 --> 00:49:45,080
Speaker 1: look at that and be like, oh, there's already competition here,

857
00:49:45,520 --> 00:49:49,640
Speaker 1: I can't do it. Or it also attracts predators of

858
00:49:49,680 --> 00:49:52,600
Speaker 1: the butterflies, and then that's good because that then kills

859
00:49:52,640 --> 00:49:56,000
Speaker 1: any butterflies that will come and lay their eggs. Um,

860
00:49:56,040 --> 00:49:58,680
Speaker 1: because it kind of just keeps them around, like it's

861
00:49:58,680 --> 00:50:01,600
Speaker 1: probably gonna be some butterflies by soon, munch on. I

862
00:50:01,600 --> 00:50:03,360
Speaker 1: feel like this would be like if you got a

863
00:50:03,440 --> 00:50:06,160
Speaker 1: scammer calling you and then you tried to scam the camera,

864
00:50:06,640 --> 00:50:08,520
Speaker 1: Like like if they're like, can you give me your

865
00:50:08,520 --> 00:50:10,960
Speaker 1: social Security number? And you're like, oh, I don't know

866
00:50:11,040 --> 00:50:13,160
Speaker 1: what a social security number is could you give me

867
00:50:13,200 --> 00:50:17,759
Speaker 1: yours as an example? Yeah, wait, repeat it? Thank you?

868
00:50:18,080 --> 00:50:20,840
Speaker 1: Or like what's your driver's license? It's all of a

869
00:50:20,840 --> 00:50:25,040
Speaker 1: sudden you're giving up on the information. Um. And then

870
00:50:25,080 --> 00:50:27,920
Speaker 1: we talked a little bit about automimicry. UM. That's the

871
00:50:28,480 --> 00:50:31,040
Speaker 1: that's where you're mimicking your own body parts where it's

872
00:50:31,080 --> 00:50:33,719
Speaker 1: like the eyes on the back of your head. Um.

873
00:50:33,840 --> 00:50:38,239
Speaker 1: Actually you know the that Gilbert Tian Memicry reminds me of. UM.

874
00:50:38,960 --> 00:50:41,359
Speaker 1: I think his name is James Veach. Have you ever

875
00:50:41,400 --> 00:50:45,279
Speaker 1: seen his stuff? He's like he um, scammers email him

876
00:50:45,400 --> 00:50:49,560
Speaker 1: and then he like scams the scammers for comedy where

877
00:50:49,600 --> 00:50:52,279
Speaker 1: he like, uh, like they'll they'll like try to get

878
00:50:52,360 --> 00:50:53,880
Speaker 1: him to do a scam and then he tries to

879
00:50:53,960 --> 00:50:56,839
Speaker 1: keep them engaged as long as possible, where he's like, oh,

880
00:50:56,880 --> 00:51:00,000
Speaker 1: I'm in. But then he like starts like tormenting them

881
00:51:00,080 --> 00:51:02,040
Speaker 1: by being like, you know, can you send me a

882
00:51:02,040 --> 00:51:07,239
Speaker 1: photo of the briefcase? And like scammers, I haven't seen that,

883
00:51:07,320 --> 00:51:09,919
Speaker 1: but scammers have to be really good at photoshop. It's

884
00:51:09,920 --> 00:51:13,200
Speaker 1: like a requirement. UM, And I can't imagine like him

885
00:51:13,239 --> 00:51:15,320
Speaker 1: like putting them through like can you send me the

886
00:51:15,320 --> 00:51:17,880
Speaker 1: bank statement like and they have to go to work

887
00:51:18,239 --> 00:51:21,239
Speaker 1: making it all or they're like they'll say, like you've

888
00:51:21,280 --> 00:51:23,359
Speaker 1: won this thing and he's like, oh yeah, I heard

889
00:51:23,400 --> 00:51:25,080
Speaker 1: about that in the newspaper. So I also get a

890
00:51:25,080 --> 00:51:27,560
Speaker 1: free toaster, right, And they're like, no, there's no free toasters,

891
00:51:27,560 --> 00:51:29,160
Speaker 1: Like well what about this? And he shows like an

892
00:51:29,200 --> 00:51:32,080
Speaker 1: advertisement for their scam, but it says like and a

893
00:51:32,120 --> 00:51:39,799
Speaker 1: free toaster. It's it's so good. There's one example of

894
00:51:39,880 --> 00:51:44,240
Speaker 1: mimicry and evolutionary biology that isn't just unique, it's freaky,

895
00:51:44,400 --> 00:51:46,839
Speaker 1: and like many freaky things in nature, it's all because

896
00:51:46,880 --> 00:51:50,720
Speaker 1: of this weird fungus. Imagine a fungus that infects your body,

897
00:51:50,800 --> 00:51:53,239
Speaker 1: hijacks your biology to make you look and smell like

898
00:51:53,280 --> 00:51:56,840
Speaker 1: a delicious dessert. This is exactly what the disco mycet

899
00:51:56,880 --> 00:52:02,520
Speaker 1: fungus monil in the Vaccini core bosy fungus do, or

900
00:52:02,560 --> 00:52:05,320
Speaker 1: as I like to call them because that's impossible to pronounce,

901
00:52:05,719 --> 00:52:10,200
Speaker 1: the blueberry. The blueberry fungus infects the leaves of the

902
00:52:10,239 --> 00:52:14,719
Speaker 1: blueberry plant and causes them to secrete sweet nectar like substance.

903
00:52:15,239 --> 00:52:18,640
Speaker 1: Pollinators like bees come to sip at this sugary hoax

904
00:52:18,960 --> 00:52:21,680
Speaker 1: and the fungus hitches right on the bee. Then when

905
00:52:21,719 --> 00:52:25,160
Speaker 1: the bee moves on to a blueberry flower, the fungus

906
00:52:25,200 --> 00:52:29,279
Speaker 1: infects the flowers reproductive system. Then the fungus hijacks the

907
00:52:29,280 --> 00:52:34,400
Speaker 1: flowers ovaries, using them to produce mummified, inedible blueberries containing

908
00:52:34,440 --> 00:52:37,400
Speaker 1: the fungus, which hibernate over the winter and goes on

909
00:52:37,440 --> 00:52:40,400
Speaker 1: to infect the plant again in the spring. This is

910
00:52:40,440 --> 00:52:43,680
Speaker 1: one of the only cases in nature where a parasitic

911
00:52:43,800 --> 00:52:47,920
Speaker 1: organism forces another organism, in this case the blueberry plant

912
00:52:48,160 --> 00:52:51,920
Speaker 1: to engage in mimicry and then uses a patsy in

913
00:52:51,920 --> 00:52:55,319
Speaker 1: this case, the bee, to infect the plant. Not only

914
00:52:55,360 --> 00:52:58,480
Speaker 1: does it force the blueberry to smell delicious, it also

915
00:52:58,560 --> 00:53:02,000
Speaker 1: alters its ultra violet coloration, making the leaves give off

916
00:53:02,040 --> 00:53:06,000
Speaker 1: a flower signal to the bees. The blueberry fungus runs

917
00:53:06,040 --> 00:53:09,719
Speaker 1: one of the most complicated, dastardly scams in nature. When

918
00:53:09,760 --> 00:53:12,600
Speaker 1: we return, we'll discuss how sometimes all you need to

919
00:53:12,600 --> 00:53:15,360
Speaker 1: do to bamboozle someone is to just act casual and

920
00:53:15,480 --> 00:53:23,640
Speaker 1: blend into the crowd. Sometimes the best way to trick

921
00:53:23,719 --> 00:53:26,400
Speaker 1: someone is to act like what you're doing is totally normal.

922
00:53:26,760 --> 00:53:30,080
Speaker 1: The greatest strength of humans can also be our greatest weakness.

923
00:53:30,400 --> 00:53:33,920
Speaker 1: We are highly socially intelligent, and we depend on social

924
00:53:33,920 --> 00:53:37,360
Speaker 1: groups to survive, and other words, were a bunch of conformists.

925
00:53:37,719 --> 00:53:40,279
Speaker 1: There's a famous study in psychology that puts us to

926
00:53:40,320 --> 00:53:44,600
Speaker 1: the test it in an almost unnecessarily humiliating way. The

927
00:53:44,680 --> 00:53:48,680
Speaker 1: elevator experiment was part of the Ash Conformity experiments that

928
00:53:48,719 --> 00:53:52,080
Speaker 1: looked at how people coped with group pressures. Now imagine

929
00:53:52,080 --> 00:53:54,759
Speaker 1: that you normally enter an elevator. You get in, face

930
00:53:54,880 --> 00:53:56,680
Speaker 1: the wall with the doors and all the buttons, and

931
00:53:56,800 --> 00:54:00,480
Speaker 1: wait while desperately holding in that fart. And the elevator

932
00:54:00,520 --> 00:54:04,359
Speaker 1: experiment experimenters placed research assistance in the elevator who were

933
00:54:04,360 --> 00:54:06,920
Speaker 1: instructed to face the back, while when they got in

934
00:54:07,000 --> 00:54:09,040
Speaker 1: with their backs turned away from the doors like a

935
00:54:09,040 --> 00:54:13,200
Speaker 1: couple of idiots. Except when an unexpecting bystandard got in

936
00:54:13,239 --> 00:54:16,720
Speaker 1: the elevator, they copied the two research assistants, also turning

937
00:54:16,719 --> 00:54:19,239
Speaker 1: away to face the back. So are we all just

938
00:54:19,320 --> 00:54:22,879
Speaker 1: a bunch of stupid sheep? Well, the Ash Conformity experiments

939
00:54:23,160 --> 00:54:26,480
Speaker 1: revealed that while people are heavily pressured by crowds and conforming,

940
00:54:26,760 --> 00:54:30,200
Speaker 1: were also extremely willing to listen to reason. His research

941
00:54:30,239 --> 00:54:32,600
Speaker 1: show that it only took one person going like, hey,

942
00:54:32,640 --> 00:54:34,959
Speaker 1: why the hell are you guys standing backwards yet holes

943
00:54:35,080 --> 00:54:38,280
Speaker 1: to prevent people from falling for the group think um,

944
00:54:38,680 --> 00:54:41,080
Speaker 1: which I feel like I would be easily tricked by

945
00:54:41,120 --> 00:54:44,399
Speaker 1: this elevator experiment because I've been an elevator where they

946
00:54:44,440 --> 00:54:47,239
Speaker 1: open on one side and then like I'm standing there,

947
00:54:47,400 --> 00:54:50,160
Speaker 1: you know, like like a door, like facing the doors,

948
00:54:50,200 --> 00:54:52,359
Speaker 1: and then like ding, and then I hear like from

949
00:54:52,800 --> 00:54:55,040
Speaker 1: like what there's like a big target on the brand

950
00:54:55,120 --> 00:54:57,440
Speaker 1: that has those elevators where like they opened on the

951
00:54:57,480 --> 00:55:01,280
Speaker 1: other side when you go out. I I would definitely

952
00:55:01,320 --> 00:55:03,080
Speaker 1: fall for this because like I'm also the type of

953
00:55:03,080 --> 00:55:05,080
Speaker 1: person and like black people joke about this. Alive is

954
00:55:05,120 --> 00:55:07,200
Speaker 1: like if we see other people running, we will start

955
00:55:07,239 --> 00:55:09,200
Speaker 1: running too, and we don't need to know why we're

956
00:55:09,239 --> 00:55:11,560
Speaker 1: running or what we're running from or where we're running to.

957
00:55:11,719 --> 00:55:16,640
Speaker 1: We'll figure out when we get there. We're like, there's dangerous,

958
00:55:16,680 --> 00:55:18,680
Speaker 1: so we're going to just run with this group of people.

959
00:55:20,120 --> 00:55:23,280
Speaker 1: Sometimes it's a marathon. Uh. There have been prank shows

960
00:55:23,280 --> 00:55:25,040
Speaker 1: where they just like have a horde of people who

961
00:55:25,080 --> 00:55:28,560
Speaker 1: start running like towards some innocent person and then the

962
00:55:28,560 --> 00:55:32,719
Speaker 1: persons like oh, it's like running, it's finally happening, and

963
00:55:32,719 --> 00:55:35,160
Speaker 1: then they start running away too. I mean that's I

964
00:55:35,160 --> 00:55:37,480
Speaker 1: feel like that's not being gullible. I think that's just

965
00:55:37,520 --> 00:55:40,920
Speaker 1: self preservation because usually when a bunch of people are running,

966
00:55:41,320 --> 00:55:44,440
Speaker 1: you should run, right, And I think it's also self preservation. Sometimes.

967
00:55:44,440 --> 00:55:46,800
Speaker 1: I feel like when we're conforming, because it's like sometimes

968
00:55:46,800 --> 00:55:54,120
Speaker 1: standing out can be dangerous exactly. But me too, me too,

969
00:55:54,160 --> 00:55:57,319
Speaker 1: me as well, I know why we're doing this. I'm

970
00:55:57,320 --> 00:56:01,760
Speaker 1: not even gonna like I would definitely do the same.

971
00:56:02,000 --> 00:56:05,359
Speaker 1: I'd rather be sometimes. I mean it's like, I know

972
00:56:05,400 --> 00:56:07,160
Speaker 1: we're all like, oh, you know, you want you don't

973
00:56:07,160 --> 00:56:09,080
Speaker 1: want to conform, you don't want to be a sheep,

974
00:56:09,480 --> 00:56:12,200
Speaker 1: But sometimes I kind of would rather be a sheep

975
00:56:12,280 --> 00:56:15,080
Speaker 1: than like be the idiot who's like, wait, why is

976
00:56:15,120 --> 00:56:20,560
Speaker 1: nobody else what? Right? Exactly just getting pulled away is

977
00:56:20,560 --> 00:56:23,799
Speaker 1: nobody else walking over because it's like an open man

978
00:56:23,840 --> 00:56:27,120
Speaker 1: hole or right, literally, you don't want to be that

979
00:56:27,160 --> 00:56:29,000
Speaker 1: one guy whose mask on the back of his head

980
00:56:29,000 --> 00:56:33,000
Speaker 1: didn't work, my ex boyfriend who was wearing robes to

981
00:56:33,080 --> 00:56:35,640
Speaker 1: the bank. You know, it's like, I guess that's whatever,

982
00:56:35,640 --> 00:56:38,279
Speaker 1: but it doesn't the bank what if you want to

983
00:56:38,400 --> 00:56:40,759
Speaker 1: bank like wearing a monograund robe and you're like, but

984
00:56:41,080 --> 00:56:45,920
Speaker 1: my boyfriend said, this is what this is. No, where's

985
00:56:45,960 --> 00:56:48,640
Speaker 1: my hotel room? To all your business out of hotel

986
00:56:48,800 --> 00:56:53,240
Speaker 1: rooms right now. So in the animal kingdom, there's something

987
00:56:53,280 --> 00:56:57,080
Speaker 1: called los manny and mimicry, where the mimic resembles the

988
00:56:57,120 --> 00:56:59,839
Speaker 1: animal that it's trying to live amongst. So kind of

989
00:56:59,880 --> 00:57:01,680
Speaker 1: like it makes me think of that meme with um,

990
00:57:01,680 --> 00:57:06,319
Speaker 1: what's his name? Who's going like, hello, what's that actor's name?

991
00:57:06,600 --> 00:57:13,719
Speaker 1: Oh it's Steve, Yeah, yeah, hello, fellow kids, children, Yes,

992
00:57:14,239 --> 00:57:17,960
Speaker 1: this is exactly that. So typically it's found in insects

993
00:57:18,080 --> 00:57:22,200
Speaker 1: who are mimicking social insects like ants and bees. So

994
00:57:22,320 --> 00:57:26,080
Speaker 1: here's an example. There are several species of jumping spiders

995
00:57:26,200 --> 00:57:29,600
Speaker 1: who do this to avoid predation and get lost in

996
00:57:29,640 --> 00:57:34,600
Speaker 1: the ant crowd. So spider predators like spider wasps, which

997
00:57:34,640 --> 00:57:37,000
Speaker 1: like to prey on spiders, don't like to prey on

998
00:57:37,040 --> 00:57:41,480
Speaker 1: ants because ants have zero chill. They will oh yeah,

999
00:57:41,520 --> 00:57:45,200
Speaker 1: and they will destroy you. I stepped in an ampile

1000
00:57:45,280 --> 00:57:48,320
Speaker 1: not too long and they descended on my foot. It

1001
00:57:48,440 --> 00:57:51,280
Speaker 1: was like seconds before, like my whole foot was bit.

1002
00:57:51,880 --> 00:57:55,760
Speaker 1: I was like, damn, it was an accident. Is everybody

1003
00:57:55,920 --> 00:58:01,480
Speaker 1: Tina get kid out here? The out beat me up.

1004
00:58:01,560 --> 00:58:04,400
Speaker 1: I was like, damn. It's like when you accidentally bump

1005
00:58:04,480 --> 00:58:06,800
Speaker 1: someone in the grocery store and then they just they

1006
00:58:06,880 --> 00:58:09,320
Speaker 1: don't accept your apology. You're like, oh, I'm sorry, and

1007
00:58:09,320 --> 00:58:14,560
Speaker 1: they're like what You're going, Oh, wow, dare you. It's

1008
00:58:14,560 --> 00:58:16,640
Speaker 1: like there are people in traffic, like you cut somebody

1009
00:58:16,640 --> 00:58:18,640
Speaker 1: off by acts and you're like sorry that they hawk

1010
00:58:18,680 --> 00:58:22,560
Speaker 1: at you for three blocks down. I want there to

1011
00:58:22,640 --> 00:58:24,760
Speaker 1: be a horn I can press where it's like, yes,

1012
00:58:24,840 --> 00:58:27,320
Speaker 1: I realize I've made a mistake and I'm very sorry

1013
00:58:27,360 --> 00:58:30,400
Speaker 1: about it. Please stop hawking at me. I understand my mistake,

1014
00:58:30,440 --> 00:58:32,240
Speaker 1: and I will endeavor to not do it again. And

1015
00:58:32,240 --> 00:58:34,640
Speaker 1: I wanted to be that law. Yes, that one you

1016
00:58:34,680 --> 00:58:37,520
Speaker 1: have to pause and let it finish. And I'm really

1017
00:58:37,560 --> 00:58:39,880
Speaker 1: sorry that I did this action. I have apologized. I

1018
00:58:39,920 --> 00:58:42,240
Speaker 1: know I didn't. We all do it. I don't know

1019
00:58:42,240 --> 00:58:44,600
Speaker 1: why people get so angry, don't know, but yeah, Aunt's

1020
00:58:44,640 --> 00:58:48,440
Speaker 1: turned up real quickly. So they are they are, they

1021
00:58:48,640 --> 00:58:53,040
Speaker 1: are on board, uh for I feel like they're also

1022
00:58:53,080 --> 00:58:55,680
Speaker 1: just juiced up. I feel like they're like the roided

1023
00:58:55,800 --> 00:58:59,440
Speaker 1: up animal of the animal kingdom or of the insect

1024
00:58:59,560 --> 00:59:02,000
Speaker 1: kingdom because they can like lift like ten times their

1025
00:59:02,000 --> 00:59:06,960
Speaker 1: own body. Way. They're angry at fifty flannel bros all

1026
00:59:07,000 --> 00:59:09,800
Speaker 1: showing up to a party and they all like sign

1027
00:59:09,920 --> 00:59:11,840
Speaker 1: like one of them gets their drink knocked over and

1028
00:59:11,880 --> 00:59:14,400
Speaker 1: they're all like, you want to go? They're all on

1029
00:59:14,480 --> 00:59:18,120
Speaker 1: pre workout there drinking pre workout in vodka. These are

1030
00:59:18,160 --> 00:59:25,080
Speaker 1: the antswering for loco, love for logo, like all the

1031
00:59:25,120 --> 00:59:30,440
Speaker 1: ants is simultaneously unison, like flannels off off. So these

1032
00:59:30,680 --> 00:59:33,680
Speaker 1: jumping spiders who mimic the ants will do a lot

1033
00:59:34,240 --> 00:59:37,880
Speaker 1: to try to really sell the allusions. And that's big.

1034
00:59:38,360 --> 00:59:42,120
Speaker 1: Um they can like the jumping spiders are actually quite small.

1035
00:59:42,680 --> 00:59:45,600
Speaker 1: They're pretty cute. I think they're adorable. I know, I

1036
00:59:45,640 --> 00:59:48,880
Speaker 1: know that's a controversial opinion about spiders being cute, But

1037
00:59:48,960 --> 00:59:52,080
Speaker 1: if there is a cute spider, it's the jumping spiders. Um.

1038
00:59:52,120 --> 00:59:55,360
Speaker 1: So I'll show you a couple of pictures. Here's the

1039
00:59:55,400 --> 00:59:57,800
Speaker 1: actual ants, and then here's the mimic. This is a

1040
00:59:57,840 --> 01:00:02,840
Speaker 1: spider what and and this is another spider that looks

1041
01:00:03,280 --> 01:00:06,080
Speaker 1: just like the ant, except for you can tell that

1042
01:00:06,160 --> 01:00:09,080
Speaker 1: the mouth is different and the mandibles are a little different.

1043
01:00:09,400 --> 01:00:12,480
Speaker 1: So ants have those antenna which the spiders don't have.

1044
01:00:12,520 --> 01:00:15,360
Speaker 1: So the spiders will wave their front legs around as

1045
01:00:15,400 --> 01:00:18,480
Speaker 1: if they're antenna. Um. It makes me think of those

1046
01:00:18,560 --> 01:00:21,280
Speaker 1: videos where you put human arms around a dog and

1047
01:00:21,320 --> 01:00:25,760
Speaker 1: it's like, look, I'm a human doing science. I love that.

1048
01:00:25,760 --> 01:00:28,920
Speaker 1: That reminds me of one time my girlfriends and I

1049
01:00:28,920 --> 01:00:30,720
Speaker 1: were trying to get into the v I P. Of

1050
01:00:30,840 --> 01:00:33,680
Speaker 1: this nightclub and it was like they had like really

1051
01:00:33,720 --> 01:00:35,760
Speaker 1: walled up and there were like some really famous people

1052
01:00:35,800 --> 01:00:38,480
Speaker 1: in there. And we walked by a table and there

1053
01:00:38,520 --> 01:00:41,560
Speaker 1: was like a bunch of cups and like supplies on it,

1054
01:00:42,000 --> 01:00:44,520
Speaker 1: and so we just picked that stuff up and held

1055
01:00:44,520 --> 01:00:47,640
Speaker 1: it over our heads like we worked there, Like, excuse us,

1056
01:00:49,360 --> 01:00:52,320
Speaker 1: that's so good to put these cups, Jimmy, you know me.

1057
01:00:52,400 --> 01:00:54,840
Speaker 1: We gotta put these clubs back here. I think people

1058
01:00:55,040 --> 01:00:58,160
Speaker 1: are so we're so willing, we want to go with

1059
01:00:58,240 --> 01:01:00,640
Speaker 1: the flow, we want things to be normal. That if

1060
01:01:00,920 --> 01:01:03,880
Speaker 1: if you are confident and you're just like I'm here

1061
01:01:03,920 --> 01:01:07,200
Speaker 1: to do a job, like people's default is like oh yeah, okay, yeah,

1062
01:01:07,200 --> 01:01:10,520
Speaker 1: you've got cups, you're especial. I also learned in my

1063
01:01:10,560 --> 01:01:14,000
Speaker 1: Psychology of marketing class that if you give people an excuse,

1064
01:01:14,240 --> 01:01:17,440
Speaker 1: any excuse, they're more likely to let you do what

1065
01:01:17,480 --> 01:01:19,680
Speaker 1: you want. So an example, if you want to cut

1066
01:01:19,720 --> 01:01:22,440
Speaker 1: in a line, they can just be like I do

1067
01:01:22,560 --> 01:01:24,600
Speaker 1: all the time at the airport, my flight sporting like

1068
01:01:24,720 --> 01:01:27,080
Speaker 1: do you mind get in front of you? Works every

1069
01:01:27,120 --> 01:01:30,560
Speaker 1: single time, or or just any excuse. It doesn't even

1070
01:01:30,600 --> 01:01:32,640
Speaker 1: have to do with the situation. Could be at the

1071
01:01:32,680 --> 01:01:35,640
Speaker 1: aird diabetes and then your yeah line, it's like wait

1072
01:01:35,680 --> 01:01:38,640
Speaker 1: what it works? Just like well, I don't know if

1073
01:01:38,680 --> 01:01:42,040
Speaker 1: she got babeties, so she said she said she got

1074
01:01:42,040 --> 01:01:44,280
Speaker 1: to get through t s a fast because diabetes gonna

1075
01:01:44,280 --> 01:01:46,440
Speaker 1: flare up. I don't get it, I have it. My

1076
01:01:46,600 --> 01:01:50,960
Speaker 1: dog has a bladder stone. So you need your start. Sure, yeah,

1077
01:01:51,120 --> 01:01:54,160
Speaker 1: get your Starbucks faster. No, I was just gonna get

1078
01:01:54,160 --> 01:01:58,280
Speaker 1: a lot time. But if you're dog like you know

1079
01:01:58,360 --> 01:02:03,800
Speaker 1: how it is you dog? Yeah? Okay sure. So some

1080
01:02:03,880 --> 01:02:07,479
Speaker 1: of these um jumping spiders that mimic ants will prey

1081
01:02:07,560 --> 01:02:10,920
Speaker 1: on the ants. Um They'll like I know, I know,

1082
01:02:11,000 --> 01:02:13,200
Speaker 1: They're like, I'm just a normal ants And it's like,

1083
01:02:13,240 --> 01:02:15,760
Speaker 1: well wait, why do you have another ant in your mouth?

1084
01:02:16,240 --> 01:02:19,120
Speaker 1: Billy an Billy come back, come back behind this dirt pile.

1085
01:02:19,160 --> 01:02:22,360
Speaker 1: I need you to see something. So some of the

1086
01:02:22,640 --> 01:02:24,880
Speaker 1: some of the other I find that picture. So some

1087
01:02:24,920 --> 01:02:27,320
Speaker 1: of the other spiders, the bigger ones that can't get

1088
01:02:27,320 --> 01:02:30,080
Speaker 1: away with being ant sized, and so they just look

1089
01:02:30,160 --> 01:02:35,360
Speaker 1: like two ants like carrying another ant um. Here it

1090
01:02:35,440 --> 01:02:37,600
Speaker 1: is here, it is here, it is It's so cool. Okay,

1091
01:02:37,640 --> 01:02:41,560
Speaker 1: So this is an image of one spider who looks

1092
01:02:41,600 --> 01:02:46,440
Speaker 1: like two ants. What the like? Here's the like it

1093
01:02:46,560 --> 01:02:49,000
Speaker 1: looks like one ant and then it carrying another ant

1094
01:02:49,040 --> 01:02:51,200
Speaker 1: because like and it's got little eyes where the ant

1095
01:02:51,800 --> 01:02:55,400
Speaker 1: right exactly, It's got little uh little spots in two places,

1096
01:02:55,400 --> 01:02:57,160
Speaker 1: so it looks like it has two sets of eyes.

1097
01:02:57,840 --> 01:03:00,240
Speaker 1: So it looks like a worker ant carrying like a

1098
01:03:00,280 --> 01:03:02,960
Speaker 1: dead or injured ant um. And so it gets away

1099
01:03:02,960 --> 01:03:05,520
Speaker 1: with It's like it's like it's sort of the reverse

1100
01:03:05,560 --> 01:03:08,240
Speaker 1: of like two kids in a trench coat. It's like

1101
01:03:08,400 --> 01:03:15,120
Speaker 1: it's like one person looking like two adults that is insane.

1102
01:03:16,040 --> 01:03:19,720
Speaker 1: And then it's eating ants. Yeah, it's like just a

1103
01:03:19,720 --> 01:03:23,600
Speaker 1: paramedic ant here carrying injured Do you want to actually

1104
01:03:23,600 --> 01:03:27,480
Speaker 1: I got more ant on the It's like, is that

1105
01:03:27,800 --> 01:03:31,480
Speaker 1: are those two ants eating another ant? Just doing medicine,

1106
01:03:32,360 --> 01:03:42,120
Speaker 1: which is working on his lick scalpel. Al Right, So now, um,

1107
01:03:42,360 --> 01:03:45,000
Speaker 1: I want to talk about zebra coloring because it's a

1108
01:03:45,080 --> 01:03:47,880
Speaker 1: really interesting phenomenon where like you look at a zebra,

1109
01:03:47,960 --> 01:03:50,280
Speaker 1: it's like that is a stupid animal because if it

1110
01:03:50,320 --> 01:03:54,240
Speaker 1: wants to not stand out, not be spotted by lions,

1111
01:03:54,320 --> 01:03:57,920
Speaker 1: like it's dumb because it's it's it almost like something

1112
01:03:58,000 --> 01:03:59,880
Speaker 1: is white and black right, Like it looks like it's

1113
01:04:00,120 --> 01:04:02,960
Speaker 1: an alarm sign going like here's a zebra eat it?

1114
01:04:05,000 --> 01:04:07,920
Speaker 1: Um uh. Like it even looks like a diner, you

1115
01:04:07,960 --> 01:04:09,880
Speaker 1: know how like diners like have this sort of like

1116
01:04:09,880 --> 01:04:12,760
Speaker 1: black and white pattern, like like come and dine at

1117
01:04:12,760 --> 01:04:17,680
Speaker 1: the zebra diner. So actually there's a few theories as

1118
01:04:17,680 --> 01:04:20,760
Speaker 1: to why these stripes are advantageous and they're really wild.

1119
01:04:20,840 --> 01:04:25,440
Speaker 1: So zebras are actually have some defense against predators and

1120
01:04:25,640 --> 01:04:29,720
Speaker 1: biting flies because of this coloring. So one way is

1121
01:04:29,760 --> 01:04:33,640
Speaker 1: they confuse predators with what's called motion dazzle, which is

1122
01:04:33,680 --> 01:04:39,680
Speaker 1: like the old razzle day. These zebras are like bootleggers

1123
01:04:39,680 --> 01:04:45,520
Speaker 1: from the twenties or something like picking their feed up. Wait,

1124
01:04:45,800 --> 01:04:47,160
Speaker 1: what like what do you mean by that? Is it

1125
01:04:47,320 --> 01:04:49,080
Speaker 1: like you look at them you think you're high for

1126
01:04:49,120 --> 01:04:53,400
Speaker 1: a second. That's also true, but it's like so bold

1127
01:04:53,440 --> 01:04:56,560
Speaker 1: patterns actually can make it difficult to assess speed and

1128
01:04:56,640 --> 01:04:59,880
Speaker 1: direction because of a couple of um illusions. So they

1129
01:05:00,000 --> 01:05:02,760
Speaker 1: are two illusions at play. There's the wagon wheel effects,

1130
01:05:02,760 --> 01:05:04,720
Speaker 1: so like if you've ever seen I mean, we don't

1131
01:05:04,760 --> 01:05:07,560
Speaker 1: see wagon wheels, but it's kind of an antiquated term,

1132
01:05:07,600 --> 01:05:11,880
Speaker 1: like you know how well wheel. But when you see

1133
01:05:11,920 --> 01:05:14,440
Speaker 1: like a fan, like a ceiling fan, and sometimes it

1134
01:05:14,440 --> 01:05:17,960
Speaker 1: looks like it's going backwards in a weird way. Um,

1135
01:05:18,040 --> 01:05:21,720
Speaker 1: it's like the motion seems inverted when it's moving fast

1136
01:05:21,880 --> 01:05:25,960
Speaker 1: enough because like the the light and dark going like

1137
01:05:26,040 --> 01:05:28,960
Speaker 1: light dart like dark. It's like it confuses your visual

1138
01:05:29,000 --> 01:05:31,760
Speaker 1: neurons and it's like because that is the same pattern

1139
01:05:31,840 --> 01:05:34,600
Speaker 1: as it would go in the other direction, so your

1140
01:05:34,640 --> 01:05:38,160
Speaker 1: brain keeps switching it back and forth. So this is

1141
01:05:38,200 --> 01:05:41,480
Speaker 1: similar to the barber pole illusion, which is also in

1142
01:05:41,560 --> 01:05:44,640
Speaker 1: effect with the zebras, where stripes on a barber pole,

1143
01:05:44,760 --> 01:05:47,640
Speaker 1: so it's just a rotating thing inside that. It's like

1144
01:05:47,680 --> 01:05:50,360
Speaker 1: got like a blue and a red band, but it

1145
01:05:50,440 --> 01:05:52,280
Speaker 1: looks like when you look at the pole, looks like

1146
01:05:52,320 --> 01:05:57,040
Speaker 1: the stripes are moving down like vertically along the stripe

1147
01:05:57,160 --> 01:06:00,720
Speaker 1: rather than just turning around. So that's big because neurons

1148
01:06:00,720 --> 01:06:04,240
Speaker 1: in the visual cortex have what's called an aperture problem,

1149
01:06:04,280 --> 01:06:07,360
Speaker 1: which is that you only have a limited slice of

1150
01:06:07,440 --> 01:06:11,840
Speaker 1: visual information. You can't take in like everything about the

1151
01:06:11,920 --> 01:06:15,280
Speaker 1: geometry of like that barber pole. So when there are

1152
01:06:15,280 --> 01:06:18,800
Speaker 1: two interpretations which like you have, it's like with the

1153
01:06:18,920 --> 01:06:22,240
Speaker 1: wagon wheel illusion, like you have the visual stimulation of

1154
01:06:22,320 --> 01:06:26,440
Speaker 1: like the stripes going around the pole is actually very

1155
01:06:26,480 --> 01:06:28,720
Speaker 1: similar to how it would look like if they were

1156
01:06:28,760 --> 01:06:33,200
Speaker 1: traveling down. Um, that's my brain is making it seem

1157
01:06:33,200 --> 01:06:36,160
Speaker 1: like it's traveling. It's like it's doing that right. And

1158
01:06:36,160 --> 01:06:39,040
Speaker 1: and in fact your brain actually will opt for the

1159
01:06:39,200 --> 01:06:42,520
Speaker 1: slower moving interpretation. I'm not really sure why it does that.

1160
01:06:42,560 --> 01:06:45,600
Speaker 1: I think the neurons are just lazy. They're like slow,

1161
01:06:45,600 --> 01:06:47,840
Speaker 1: don't worry about it. That's when our brain just starts

1162
01:06:47,880 --> 01:06:50,640
Speaker 1: to like make stuff up. It's like, yeah, we think

1163
01:06:50,640 --> 01:06:52,600
Speaker 1: it's moving down. We don't really know, but that's what

1164
01:06:53,480 --> 01:06:59,440
Speaker 1: that's what we decided to. Yeah, Tom said it's moving

1165
01:06:59,480 --> 01:07:04,760
Speaker 1: down and around there's just loud chewing and like like

1166
01:07:05,280 --> 01:07:14,960
Speaker 1: McDonald's papers like crinkly, like what moving down? Down. So

1167
01:07:15,360 --> 01:07:18,320
Speaker 1: with the Zebras with their stripes, they kind of they

1168
01:07:18,360 --> 01:07:21,400
Speaker 1: reap the advantage of both the barber pool and the

1169
01:07:21,400 --> 01:07:24,640
Speaker 1: wagon wheel allusions, so like uh, and they also when

1170
01:07:24,640 --> 01:07:28,800
Speaker 1: they're moving as a herd um, it just turns into

1171
01:07:28,840 --> 01:07:32,000
Speaker 1: this giant, flickering mass that to like a line, it's

1172
01:07:32,040 --> 01:07:34,520
Speaker 1: hard for it to you know what way it's moving,

1173
01:07:35,240 --> 01:07:37,400
Speaker 1: what it's doing, And it's also hard to pick out

1174
01:07:37,440 --> 01:07:40,600
Speaker 1: an individual to like eat. You know, if you're a line,

1175
01:07:40,640 --> 01:07:44,000
Speaker 1: you can't just eat all of the Zebras you want

1176
01:07:44,040 --> 01:07:50,320
Speaker 1: to write once. You probably just can't stop Sarah Getti

1177
01:07:50,400 --> 01:07:54,360
Speaker 1: spread Sprinkle. But I mean that's another thing with scammers.

1178
01:07:54,440 --> 01:07:56,400
Speaker 1: You have to isolate a victim, right, Like if you

1179
01:07:56,440 --> 01:07:58,919
Speaker 1: try to scam a group of people, it's harder, yeah,

1180
01:07:58,960 --> 01:08:01,160
Speaker 1: because then people can figure it out. And you also

1181
01:08:01,200 --> 01:08:04,440
Speaker 1: have to pick victims who are isolated, because if a

1182
01:08:04,520 --> 01:08:06,680
Speaker 1: victim has too many friends and then they go, you know,

1183
01:08:06,960 --> 01:08:09,760
Speaker 1: they're at brunch and they're like, yeah, so Federico told me,

1184
01:08:09,800 --> 01:08:12,600
Speaker 1: I gotta send him seven thousand dollars and then he's

1185
01:08:12,600 --> 01:08:15,000
Speaker 1: gonna get his visa and then he's gonna be able

1186
01:08:15,040 --> 01:08:17,599
Speaker 1: to come over here. But right now he only has

1187
01:08:17,600 --> 01:08:20,719
Speaker 1: a flip phone and he cannot contact me or show

1188
01:08:20,720 --> 01:08:22,760
Speaker 1: me any pictures of him. And you're like, wait, you

1189
01:08:22,760 --> 01:08:24,880
Speaker 1: shouldn't do that. Well, but no, it's okay. His dog

1190
01:08:25,000 --> 01:08:27,360
Speaker 1: is bladders. Yeah, yeah, I know his dog is very

1191
01:08:27,439 --> 01:08:30,240
Speaker 1: much gonna die. I've never seen the dog either, No,

1192
01:08:30,800 --> 01:08:32,960
Speaker 1: but he once did have it bark on the phone,

1193
01:08:33,120 --> 01:08:39,920
Speaker 1: so I know it's real. Burk burk. Right. Oh, here's

1194
01:08:40,000 --> 01:08:44,080
Speaker 1: here's an image of the barber. Like it looks like

1195
01:08:44,120 --> 01:08:46,640
Speaker 1: it's like just moving moving up And even though I'm

1196
01:08:46,680 --> 01:08:49,719
Speaker 1: trying to tell my brain it's not, my brain, Tom

1197
01:08:49,800 --> 01:08:51,320
Speaker 1: is like, no, no, no, no, no, we told you

1198
01:08:51,360 --> 01:08:53,320
Speaker 1: it's going right, it's going up. I mean. That's what's

1199
01:08:53,360 --> 01:08:56,280
Speaker 1: so interesting about illusions is that even once you know

1200
01:08:56,400 --> 01:08:59,880
Speaker 1: the illusion, you can't unsee it, and you you are

1201
01:09:00,000 --> 01:09:02,639
Speaker 1: actually flip back and forth, and sometimes you can force

1202
01:09:02,680 --> 01:09:06,000
Speaker 1: yourself to try to see. So another use of these

1203
01:09:06,000 --> 01:09:11,000
Speaker 1: stripes is they are unattractive to horseflies, which typically like

1204
01:09:11,160 --> 01:09:16,400
Speaker 1: to bite animals like zebras. But horseflies can't, like they're

1205
01:09:16,439 --> 01:09:19,479
Speaker 1: so stupid that like, and they expect light to act

1206
01:09:19,520 --> 01:09:22,200
Speaker 1: in a certain way. That putting a dark color and

1207
01:09:22,240 --> 01:09:25,240
Speaker 1: a light color next to each other like that is

1208
01:09:25,280 --> 01:09:28,800
Speaker 1: like too confusing for them, and they they're like what

1209
01:09:29,280 --> 01:09:31,559
Speaker 1: you know what, never mind, never mind, we'll eat later.

1210
01:09:31,680 --> 01:09:37,600
Speaker 1: Come on, tim, Like this horse is uh confusing just

1211
01:09:37,600 --> 01:09:39,320
Speaker 1: because it's got different colors, Like it smells like a

1212
01:09:39,320 --> 01:09:43,639
Speaker 1: horse and broken. We don't want any of this nasty

1213
01:09:43,680 --> 01:09:49,520
Speaker 1: horse o. Horseflies like taking our blood out when they Yeah,

1214
01:09:49,600 --> 01:09:56,000
Speaker 1: they're second or juices are delicious juices, horse juice. That's

1215
01:09:56,000 --> 01:09:58,280
Speaker 1: the best situation though, because horselies I have to kill anybody.

1216
01:09:58,280 --> 01:10:03,240
Speaker 1: They're just come bite. That's true, although um, like I'm

1217
01:10:03,240 --> 01:10:06,639
Speaker 1: not I think horse flies might sometimes carry disease. That's

1218
01:10:06,680 --> 01:10:09,200
Speaker 1: the thing that really gets you with like mosquitoes or

1219
01:10:09,240 --> 01:10:13,280
Speaker 1: the flies, Like they carry disease and then that's how

1220
01:10:13,280 --> 01:10:17,080
Speaker 1: they so it's not really their fault, it's the diseases

1221
01:10:17,120 --> 01:10:22,080
Speaker 1: that they carry. Now are they from biting people? Uh yeah,

1222
01:10:22,120 --> 01:10:25,040
Speaker 1: I mean that's a good chicken and the egg thing. Yeah.

1223
01:10:25,120 --> 01:10:27,519
Speaker 1: So like like they get the virus um or the

1224
01:10:27,600 --> 01:10:30,200
Speaker 1: virus directly infects them and then like they'll get it

1225
01:10:30,240 --> 01:10:32,640
Speaker 1: from another infected animal and then they pass it on.

1226
01:10:32,760 --> 01:10:35,880
Speaker 1: But they're like living good with zeka like zukism. Yeah,

1227
01:10:35,960 --> 01:10:43,000
Speaker 1: yeah exactly. I think so they're the carrier. They're so lacy.

1228
01:10:43,040 --> 01:10:45,080
Speaker 1: I was thinking we could in the show with you

1229
01:10:45,160 --> 01:10:48,320
Speaker 1: talking a little bit about the scams that you know,

1230
01:10:48,400 --> 01:10:52,479
Speaker 1: about the scams that you do. I'm really not insulting you, no, No,

1231
01:10:52,640 --> 01:10:55,599
Speaker 1: I don't talk about current scams right right, it's like

1232
01:10:55,680 --> 01:10:59,519
Speaker 1: you know, knowing, but when it's retired, and then I'll

1233
01:10:59,560 --> 01:11:03,479
Speaker 1: talk to retire scams exactly. So the scam Goddess that's

1234
01:11:03,479 --> 01:11:05,439
Speaker 1: coming out with new episodes, this is part of my

1235
01:11:05,479 --> 01:11:09,360
Speaker 1: inspiration for I love this. I love to see all

1236
01:11:09,360 --> 01:11:15,559
Speaker 1: the scammer animals, scam samins. That's the kind of fat

1237
01:11:15,600 --> 01:11:18,479
Speaker 1: I want to have as a scaminal. Yeah. So what's

1238
01:11:18,520 --> 01:11:22,920
Speaker 1: some of your advice to to scam which obviously we

1239
01:11:22,960 --> 01:11:27,720
Speaker 1: don't we don't endorse them scam people, but yeah, it

1240
01:11:27,760 --> 01:11:29,760
Speaker 1: depends on what kind of scams you're doing. If you're

1241
01:11:29,800 --> 01:11:32,640
Speaker 1: like scamming and hurting people that I don't approve of that,

1242
01:11:32,720 --> 01:11:37,759
Speaker 1: If you're scamming big faceless corporation, absolutely don't scam old people,

1243
01:11:38,040 --> 01:11:42,680
Speaker 1: scam old companies right exactly, Like they're they're they're scams themselves,

1244
01:11:42,720 --> 01:11:45,280
Speaker 1: like they've been running scams and work scams, so they

1245
01:11:45,280 --> 01:11:47,920
Speaker 1: need to be like like scam your internet provider into

1246
01:11:48,000 --> 01:11:52,479
Speaker 1: giving you new like trial packages and stuff like. That's

1247
01:11:52,560 --> 01:11:55,720
Speaker 1: that's that's the good scam because they're you know, like

1248
01:11:55,880 --> 01:11:58,519
Speaker 1: they're the scammer exactly. They've they've all ripped us off

1249
01:11:58,560 --> 01:12:01,160
Speaker 1: so much, so we we deserve we're road. Oh this

1250
01:12:01,240 --> 01:12:03,479
Speaker 1: is a fun one um that I actually learned about.

1251
01:12:03,960 --> 01:12:07,479
Speaker 1: A listener mailed this one in. They said they retired

1252
01:12:07,479 --> 01:12:09,599
Speaker 1: the scam so I could share it, but I think

1253
01:12:09,600 --> 01:12:11,200
Speaker 1: other people should pick it up because I think it

1254
01:12:11,200 --> 01:12:16,240
Speaker 1: could still work. So if you have a friend and

1255
01:12:16,320 --> 01:12:19,519
Speaker 1: you asked and like you asked them to like send

1256
01:12:19,520 --> 01:12:23,360
Speaker 1: you some text messages, so basically you change their name

1257
01:12:23,479 --> 01:12:28,360
Speaker 1: in your phone to like insert whatever food business promotion here,

1258
01:12:28,479 --> 01:12:32,240
Speaker 1: So like insert Taco Bell food promotion, right, So you

1259
01:12:32,360 --> 01:12:35,519
Speaker 1: change their name to that in your phone. Then you

1260
01:12:35,560 --> 01:12:38,880
Speaker 1: have them text you a text saying like, oh, you

1261
01:12:38,960 --> 01:12:42,160
Speaker 1: have received a deal deal in the day, and it's

1262
01:12:42,200 --> 01:12:47,160
Speaker 1: like ten corntraps for five dollars um, offered only for

1263
01:12:47,320 --> 01:12:50,360
Speaker 1: a limited time at participating locations. And then like you

1264
01:12:50,400 --> 01:12:51,960
Speaker 1: have to make sure that the date is about to

1265
01:12:52,000 --> 01:12:54,840
Speaker 1: expire or is already expired, but maybe just like a

1266
01:12:54,960 --> 01:12:57,880
Speaker 1: date or and then you go into like these fast

1267
01:12:57,920 --> 01:13:00,439
Speaker 1: food restaurants and you're like, hey, I got this deal

1268
01:13:00,439 --> 01:13:04,599
Speaker 1: promotion for tin for five dollars. I know it says

1269
01:13:04,600 --> 01:13:06,559
Speaker 1: it's about to expire, like can I use it? And

1270
01:13:06,640 --> 01:13:09,040
Speaker 1: a lot of times like these, like these fast food

1271
01:13:09,120 --> 01:13:13,400
Speaker 1: chain restaurants don't really communicate they'll honor it. And that

1272
01:13:13,479 --> 01:13:15,600
Speaker 1: was a wild because at first I thought you were

1273
01:13:15,640 --> 01:13:18,559
Speaker 1: going to like prank the friend and it's like, it's me.

1274
01:13:18,840 --> 01:13:23,639
Speaker 1: Don't your friends like prank talking? That's fine, And I'm

1275
01:13:23,640 --> 01:13:26,400
Speaker 1: talking about those food scammers. As you look up like

1276
01:13:26,600 --> 01:13:31,000
Speaker 1: popular concerts in the area or whatever concerts are happening

1277
01:13:31,080 --> 01:13:34,360
Speaker 1: that day, and then you call ahead to Chipotle and

1278
01:13:34,439 --> 01:13:37,599
Speaker 1: you tell them that you're on tour with whatever concept

1279
01:13:37,680 --> 01:13:40,360
Speaker 1: that's playing whatever venue, and that they love to have

1280
01:13:40,439 --> 01:13:44,480
Speaker 1: some like free burritos because this artist loves these burritos.

1281
01:13:44,600 --> 01:13:47,000
Speaker 1: And most of the time they will give you like

1282
01:13:47,160 --> 01:13:51,439
Speaker 1: thirteen free burritos, and Sharon, he loves he said, I'm

1283
01:13:51,479 --> 01:13:56,759
Speaker 1: in love with the ship of Time. I accidentally scammed

1284
01:13:56,760 --> 01:14:00,200
Speaker 1: a restaurant once because I was doing a report for

1285
01:14:00,320 --> 01:14:04,639
Speaker 1: school on Italian chain restaurants. It's like a an anthropology class.

1286
01:14:04,680 --> 01:14:08,040
Speaker 1: I was like comparing like American Italian chains like to

1287
01:14:08,040 --> 01:14:11,120
Speaker 1: to authentic Italian and like what kinds of things they're

1288
01:14:11,160 --> 01:14:13,559
Speaker 1: like mimicking and stuff, And so I like showed up

1289
01:14:13,960 --> 01:14:16,200
Speaker 1: with like a clipboard. I was like writing things down

1290
01:14:16,280 --> 01:14:18,120
Speaker 1: because like I was trying to take notes and I

1291
01:14:18,160 --> 01:14:20,519
Speaker 1: didn't want to bring my whole laptop. So I was

1292
01:14:20,560 --> 01:14:22,719
Speaker 1: like there with a clip note, like writing about the food,

1293
01:14:22,720 --> 01:14:26,040
Speaker 1: and they were so nice to me, and they like

1294
01:14:26,120 --> 01:14:30,840
Speaker 1: gave me extra bread. You came in with a clipboard. Yeah, yeah, listen,

1295
01:14:30,840 --> 01:14:34,000
Speaker 1: a clipboard is in a scammers artillery. Okay, you gotta

1296
01:14:34,040 --> 01:14:36,680
Speaker 1: have a clip right right, It's like uh And I

1297
01:14:36,760 --> 01:14:40,880
Speaker 1: was like, well, gosh, they sure were nice. They don't

1298
01:14:40,880 --> 01:14:43,640
Speaker 1: know what you're reporting. A lot of times, like food critics,

1299
01:14:43,640 --> 01:14:45,840
Speaker 1: like you'd be shocked how much stuff you can get

1300
01:14:45,840 --> 01:14:48,280
Speaker 1: for free. They might not give you free things, but

1301
01:14:48,320 --> 01:14:50,479
Speaker 1: they will be really nice to you. Yeah, there are

1302
01:14:50,479 --> 01:14:53,760
Speaker 1: definitely people who will like impersonate famous food critics that

1303
01:14:53,800 --> 01:14:57,280
Speaker 1: people may not necessarily know what their faces, and then

1304
01:14:57,320 --> 01:14:59,280
Speaker 1: those people will come in and you can get complimentary

1305
01:14:59,280 --> 01:15:01,720
Speaker 1: meals that way. Are saying that you're writing for like

1306
01:15:01,760 --> 01:15:04,559
Speaker 1: a big right. I think that's kind of mean because

1307
01:15:04,640 --> 01:15:08,960
Speaker 1: if you know, like when waiters like, but like the

1308
01:15:09,040 --> 01:15:12,120
Speaker 1: also the cooks, like you have some like line cooks

1309
01:15:12,120 --> 01:15:15,040
Speaker 1: who are like, oh, I'm really trying harder than the like, yeah,

1310
01:15:15,439 --> 01:15:17,479
Speaker 1: you gotta get this right, like Gordon Ramsey like just

1311
01:15:17,920 --> 01:15:21,559
Speaker 1: screaming them out. It's like y'all serving this crap on

1312
01:15:21,560 --> 01:15:24,680
Speaker 1: a plata. That would have never happened to me at

1313
01:15:24,680 --> 01:15:27,160
Speaker 1: the restaurant that I worked at ages ago, because we

1314
01:15:27,240 --> 01:15:30,360
Speaker 1: had photos of l a food critics that were really

1315
01:15:30,400 --> 01:15:33,120
Speaker 1: so you knew what their face like, putting like photos

1316
01:15:33,160 --> 01:15:36,559
Speaker 1: of counterfeit dollars up or putting real money. You knew

1317
01:15:36,560 --> 01:15:38,240
Speaker 1: how to be on diler if you did get a

1318
01:15:38,240 --> 01:15:40,360
Speaker 1: food critic and you're like, oh, I know who you are,

1319
01:15:40,439 --> 01:15:43,040
Speaker 1: like you have to, I'll give you the goods right

1320
01:15:43,600 --> 01:15:48,599
Speaker 1: like like Gordon Ramsey isn't a twelve year old boy,

1321
01:15:48,800 --> 01:15:51,960
Speaker 1: but like im person Nation. Scams like those are really big.

1322
01:15:52,000 --> 01:15:54,320
Speaker 1: The biggest thing that I tell people though, because on

1323
01:15:54,479 --> 01:15:56,240
Speaker 1: Scam God Is we spent a lot of time warning

1324
01:15:56,240 --> 01:15:57,920
Speaker 1: you about scams because we only want you to get

1325
01:15:57,920 --> 01:16:00,679
Speaker 1: involved in my scams. Now I'm running this camp. Please

1326
01:16:00,720 --> 01:16:03,200
Speaker 1: do give me your social Security number, spinning a cup

1327
01:16:03,200 --> 01:16:05,479
Speaker 1: and mail it to me. Yeah, I need it like

1328
01:16:05,560 --> 01:16:08,360
Speaker 1: you wan't like meet a swamman. Okay, I already took

1329
01:16:08,360 --> 01:16:12,559
Speaker 1: your other water bottles. I helpfully labeled it with my

1330
01:16:12,640 --> 01:16:15,560
Speaker 1: credit card information. Yes, that was very helpful of you.

1331
01:16:17,800 --> 01:16:21,439
Speaker 1: Too easy, right right? No, um, but one of the

1332
01:16:21,439 --> 01:16:23,680
Speaker 1: biggest things is is like if someone calls you and

1333
01:16:23,720 --> 01:16:27,320
Speaker 1: they're offering you information, like you should always be watching

1334
01:16:27,360 --> 01:16:29,320
Speaker 1: out so like, so think about it, like when you

1335
01:16:29,360 --> 01:16:31,680
Speaker 1: call your bank, like your bank basically acts like an

1336
01:16:31,720 --> 01:16:35,000
Speaker 1: angry ex girlfriend and interrogates you, like it's like, oh,

1337
01:16:35,040 --> 01:16:37,880
Speaker 1: you're wearing a you have a Bank of America account. Okay, sure,

1338
01:16:37,960 --> 01:16:40,759
Speaker 1: what's your social Okay, what's your day to birth? Okay,

1339
01:16:40,760 --> 01:16:42,600
Speaker 1: what's your last name, what's your first name, what's your

1340
01:16:42,600 --> 01:16:44,479
Speaker 1: middle name? Who is your mama? Who is your mom?

1341
01:16:44,960 --> 01:16:49,479
Speaker 1: And what's your mama's favorite car? Like like they're gonna

1342
01:16:49,520 --> 01:16:53,200
Speaker 1: interrogate you. I heard your mother's dog has bladderstone. What's

1343
01:16:53,280 --> 01:16:57,640
Speaker 1: that dog's name? I don't know. You're not gonna be

1344
01:16:57,680 --> 01:16:59,280
Speaker 1: able to get anybody out of your account if you

1345
01:16:59,320 --> 01:17:02,280
Speaker 1: can't tell me. Um. So, if a scammer calls and

1346
01:17:02,320 --> 01:17:05,200
Speaker 1: they're like, hey, I'm calling from your bank, and here's

1347
01:17:05,240 --> 01:17:08,000
Speaker 1: a reference number, a reference number, is like the biggest

1348
01:17:08,040 --> 01:17:10,400
Speaker 1: O G scam things like they'll give you some made

1349
01:17:10,520 --> 01:17:17,000
Speaker 1: up numbers too, one zero O nine is your reference number,

1350
01:17:17,479 --> 01:17:19,320
Speaker 1: like and we know it's a scamp. Oh, here's one

1351
01:17:19,439 --> 01:17:21,840
Speaker 1: for all the dog walkers. And we're talking about the

1352
01:17:21,840 --> 01:17:24,760
Speaker 1: animals obviously and animal lovers. I'm sure listen to this

1353
01:17:24,840 --> 01:17:30,000
Speaker 1: podcast Wags. So we've heard of WAGS, right, is that

1354
01:17:30,080 --> 01:17:33,160
Speaker 1: the walking dog walking service? Dog walking service with the app.

1355
01:17:33,560 --> 01:17:36,200
Speaker 1: So there's some scammers. This is a recent one that

1356
01:17:36,320 --> 01:17:38,919
Speaker 1: um they'll get on the Wags app and they'll schedule

1357
01:17:39,000 --> 01:17:42,280
Speaker 1: a dog walking session with you and then they'll cancel

1358
01:17:42,360 --> 01:17:45,280
Speaker 1: it and then they'll call you because on the app

1359
01:17:45,320 --> 01:17:47,280
Speaker 1: it's like Uber how like when you can call people

1360
01:17:47,320 --> 01:17:49,519
Speaker 1: because you're about to have service with them, and like

1361
01:17:49,560 --> 01:17:51,600
Speaker 1: you know how Uber like scramble your number when you

1362
01:17:51,640 --> 01:17:53,280
Speaker 1: call the Uber driver and it does the same for

1363
01:17:53,280 --> 01:17:57,120
Speaker 1: them for privacy. So when they've scheduled a dog walk

1364
01:17:57,160 --> 01:17:59,880
Speaker 1: with you, they get access to your contact and for

1365
01:18:00,080 --> 01:18:04,200
Speaker 1: nation through the app. So by canceling the dog walking

1366
01:18:04,320 --> 01:18:07,120
Speaker 1: service that they previously booked with you, then they'll call

1367
01:18:07,200 --> 01:18:10,280
Speaker 1: and be like, hey, we're calling from WAGS and we

1368
01:18:10,439 --> 01:18:13,120
Speaker 1: just canceled your dog walking service, but don't worry, you're

1369
01:18:13,160 --> 01:18:15,840
Speaker 1: going to get a ten dollar cancelation fee. So then

1370
01:18:15,880 --> 01:18:17,920
Speaker 1: that person will go through the app and send ten

1371
01:18:17,960 --> 01:18:20,479
Speaker 1: dollars to the person that they just canceled the walk on.

1372
01:18:21,600 --> 01:18:25,080
Speaker 1: Then they'll be like, hey, we actually need to reverify

1373
01:18:25,120 --> 01:18:28,840
Speaker 1: your banking information. Um, we're like right after they've sent

1374
01:18:28,880 --> 01:18:31,280
Speaker 1: them the money, then they take their banking information and

1375
01:18:31,320 --> 01:18:36,760
Speaker 1: they robbed the dog walker and it's wait, wait, wait,

1376
01:18:36,840 --> 01:18:40,479
Speaker 1: so so it's a dog walk Wait, so who's getting scammed?

1377
01:18:40,479 --> 01:18:42,240
Speaker 1: Is it the person with the dog or the person

1378
01:18:42,360 --> 01:18:44,880
Speaker 1: who was the person who walks the dog, which is

1379
01:18:44,920 --> 01:18:49,840
Speaker 1: so sad because the person probably doesn't even have a dog.

1380
01:18:49,960 --> 01:18:52,439
Speaker 1: The scammer is just getting on the app so that

1381
01:18:52,479 --> 01:18:55,680
Speaker 1: they can get in contact with the dog walker, and

1382
01:18:55,720 --> 01:18:57,639
Speaker 1: then it's like and through the app they can pay

1383
01:18:57,680 --> 01:18:59,880
Speaker 1: the dog walker and make it seem like they work

1384
01:19:00,040 --> 01:19:01,960
Speaker 1: for the Apple. I see. It's one of those things

1385
01:19:02,000 --> 01:19:04,280
Speaker 1: where they dangle a little bit of money out for

1386
01:19:04,320 --> 01:19:06,040
Speaker 1: you and then they take all of your money. So

1387
01:19:06,120 --> 01:19:08,519
Speaker 1: it's like it's like, oh, I sorry, I had to

1388
01:19:08,560 --> 01:19:11,639
Speaker 1: cancel here. Um, let me give you ten dollars, but actually,

1389
01:19:11,680 --> 01:19:14,200
Speaker 1: could you give me a social Security number? Right? It's

1390
01:19:14,200 --> 01:19:16,880
Speaker 1: like it's like if I called an Uber driver that

1391
01:19:16,960 --> 01:19:19,559
Speaker 1: I had the number four because I was using the app,

1392
01:19:19,600 --> 01:19:22,720
Speaker 1: and I was like, hey Tom, that Uber drivers that

1393
01:19:22,760 --> 01:19:25,200
Speaker 1: we actually call him from Uber it's me um mr

1394
01:19:25,280 --> 01:19:28,640
Speaker 1: Uber from San Francisco. Um. Yeah, yeah, we just had

1395
01:19:28,680 --> 01:19:31,000
Speaker 1: to cancel that client. But we sent you the cancelation

1396
01:19:31,000 --> 01:19:33,880
Speaker 1: for you. We don't. You're banking information is at a

1397
01:19:33,960 --> 01:19:36,559
Speaker 1: date or whatever, and then you give me the information,

1398
01:19:36,680 --> 01:19:40,120
Speaker 1: then I steal it. Yeah yeah. I think for me,

1399
01:19:40,280 --> 01:19:41,840
Speaker 1: like the general thing is like when I get a

1400
01:19:41,880 --> 01:19:44,040
Speaker 1: call from someone like pretending to be the I R

1401
01:19:44,200 --> 01:19:47,040
Speaker 1: S or something, and they're like they're like, you owe taxes,

1402
01:19:47,120 --> 01:19:52,400
Speaker 1: and I'm just like make me because I've actually because

1403
01:19:52,400 --> 01:19:54,800
Speaker 1: I've gotten like actual letters from the I R S.

1404
01:19:54,840 --> 01:19:59,120
Speaker 1: Because like whenever you owe taxes or something, um, the

1405
01:19:59,160 --> 01:20:02,599
Speaker 1: I R S will send you physical mail and they'll

1406
01:20:02,640 --> 01:20:06,400
Speaker 1: be like, hey, you owe some stuff like like send us,

1407
01:20:06,520 --> 01:20:09,599
Speaker 1: which is so petty. Like if I don't get the letter,

1408
01:20:09,640 --> 01:20:12,639
Speaker 1: they're like, hey I open this pail or go to jail. Well,

1409
01:20:12,680 --> 01:20:15,120
Speaker 1: I mean they actually don't really threaten you with jail typically,

1410
01:20:15,200 --> 01:20:17,599
Speaker 1: like there they there may be something in the letter

1411
01:20:17,640 --> 01:20:20,240
Speaker 1: which is like you know, like not paying these things,

1412
01:20:20,400 --> 01:20:23,400
Speaker 1: we can't result in penalties or something. But they won't

1413
01:20:23,560 --> 01:20:26,000
Speaker 1: call you and be like, hey, you need to pay

1414
01:20:26,040 --> 01:20:28,639
Speaker 1: this now or you'll go to jail. They just don't

1415
01:20:28,680 --> 01:20:31,840
Speaker 1: have the resources to send you to jail. They're so underfunded,

1416
01:20:31,960 --> 01:20:35,200
Speaker 1: like they you know, they'll try to get you to

1417
01:20:35,320 --> 01:20:37,439
Speaker 1: pay it, but but if someone's calling you, it's like

1418
01:20:37,439 --> 01:20:39,160
Speaker 1: I'm the I R S. And if you don't pay this,

1419
01:20:39,280 --> 01:20:41,200
Speaker 1: you're in danger of going to jail. It's like no,

1420
01:20:41,240 --> 01:20:43,160
Speaker 1: they don't. They do not have the manpower to do.

1421
01:20:43,240 --> 01:20:46,759
Speaker 1: That's how they they call like Hi, it's like maybe

1422
01:20:47,040 --> 01:20:52,240
Speaker 1: to leave. Listen, we trying to build a roses okay,

1423
01:20:52,280 --> 01:20:56,680
Speaker 1: and we just really meet right. And it happens all

1424
01:20:56,680 --> 01:20:58,640
Speaker 1: the time too, especially like if you have kind of

1425
01:20:58,640 --> 01:21:02,160
Speaker 1: complicated taxes um you know, like you may make a

1426
01:21:02,200 --> 01:21:04,680
Speaker 1: miscalculation and they're just like hey, this is what you

1427
01:21:04,720 --> 01:21:08,120
Speaker 1: owe or like hey there's something could you tell us

1428
01:21:08,160 --> 01:21:10,200
Speaker 1: what you want, like what you want me to both

1429
01:21:10,280 --> 01:21:12,599
Speaker 1: pay you and figure out what I owe. And that's

1430
01:21:12,720 --> 01:21:16,639
Speaker 1: literally the government's biggest scam is they oh yeah, because

1431
01:21:16,680 --> 01:21:19,200
Speaker 1: like Tibo tax uh and other like H and R

1432
01:21:19,280 --> 01:21:22,799
Speaker 1: backs and these other like tax prep like companies lobbied

1433
01:21:22,800 --> 01:21:26,680
Speaker 1: against legislation that would have them calculate what we all

1434
01:21:26,720 --> 01:21:28,719
Speaker 1: and just like be like, hey, here's your bill for taxes,

1435
01:21:28,840 --> 01:21:30,640
Speaker 1: which I would be fine with because then it's like

1436
01:21:30,720 --> 01:21:33,280
Speaker 1: then I don't have to do work and oh no, no, no,

1437
01:21:33,360 --> 01:21:35,559
Speaker 1: I need to be able to run my scam. Honestly,

1438
01:21:35,600 --> 01:21:38,400
Speaker 1: my accountant is to law abiding and I'm gonna have

1439
01:21:38,439 --> 01:21:40,000
Speaker 1: to switch him out for more of a like a

1440
01:21:40,040 --> 01:21:43,400
Speaker 1: better call sault type because he'd be trying to follow

1441
01:21:43,439 --> 01:21:45,080
Speaker 1: all the laws. And I was like, that's not why

1442
01:21:45,080 --> 01:21:48,200
Speaker 1: I hired you, Like what is this? I literally like

1443
01:21:48,479 --> 01:21:51,439
Speaker 1: was shooting in Savannah, and Savannah took six percent of

1444
01:21:51,479 --> 01:21:54,960
Speaker 1: my earning for shooting um and it was a series

1445
01:21:55,000 --> 01:21:57,040
Speaker 1: regular roll, so they took a lot of money from me.

1446
01:21:57,560 --> 01:21:59,559
Speaker 1: And so when I found out that this was going

1447
01:21:59,600 --> 01:22:02,080
Speaker 1: to happen, my lork my accountant called me and he

1448
01:22:02,120 --> 01:22:03,639
Speaker 1: was like, hey, Lacy, so when you get to Georgia

1449
01:22:03,680 --> 01:22:05,280
Speaker 1: like that, it's going to be a six percent tax

1450
01:22:05,360 --> 01:22:08,080
Speaker 1: for an outside contractor. I said, okay, so how can

1451
01:22:08,120 --> 01:22:11,280
Speaker 1: we get around that? He said, we can't. It's the law.

1452
01:22:11,760 --> 01:22:15,760
Speaker 1: It's like, what, oh side are you on? Are you

1453
01:22:15,920 --> 01:22:21,640
Speaker 1: talking about? Or the law? Shady what I want. You

1454
01:22:21,720 --> 01:22:25,160
Speaker 1: gotta get you gotta get a sweatier accountant because like

1455
01:22:25,320 --> 01:22:27,320
Speaker 1: you know that like in movies, ayre always sweaty if

1456
01:22:27,360 --> 01:22:33,719
Speaker 1: they're like, you know, you're right. Mine is like completely dry.

1457
01:22:33,800 --> 01:22:37,200
Speaker 1: He's got photos of his family. It looks like he sleeps. Well.

1458
01:22:37,400 --> 01:22:44,280
Speaker 1: That was not you want. What's your favorite scammer like

1459
01:22:44,479 --> 01:22:48,640
Speaker 1: in history? Oh gosh, that's hard because I've fallen in

1460
01:22:48,680 --> 01:22:51,760
Speaker 1: love with a lot of scammers. One that I particularly

1461
01:22:51,800 --> 01:22:54,800
Speaker 1: love a lot. He's actually you heard if you heard

1462
01:22:55,080 --> 01:22:56,720
Speaker 1: the first episode my show that you heard about him.

1463
01:22:56,720 --> 01:23:00,200
Speaker 1: But it's Jerome Jacobson. I love that story. I love

1464
01:23:00,240 --> 01:23:02,000
Speaker 1: him so much. There's another scammer that I'm trying to

1465
01:23:02,000 --> 01:23:04,320
Speaker 1: get the whole story on. But there was a woman

1466
01:23:05,040 --> 01:23:08,880
Speaker 1: and she worked for Walmart and she made over four

1467
01:23:08,960 --> 01:23:13,479
Speaker 1: hundred thousand dollars by just charging customers and extra nickel

1468
01:23:13,840 --> 01:23:17,160
Speaker 1: for a fake item and then taking that nickel out

1469
01:23:17,200 --> 01:23:20,200
Speaker 1: of the register. Oh my god, And I just thought

1470
01:23:20,320 --> 01:23:23,759
Speaker 1: the patients, that's like the office space kind of thing, right, Yeah,

1471
01:23:24,000 --> 01:23:27,840
Speaker 1: but yeah, that takes a lot of She did it

1472
01:23:27,920 --> 01:23:31,760
Speaker 1: for many, many and she said if people looked gullible,

1473
01:23:31,880 --> 01:23:35,120
Speaker 1: she'd take a quarter. I mean, who checks the receipt

1474
01:23:35,200 --> 01:23:39,160
Speaker 1: for like no bad especially bag fees. Now, if I

1475
01:23:39,200 --> 01:23:41,200
Speaker 1: saw a quarter, I'd just be like, it's probably like

1476
01:23:41,520 --> 01:23:44,080
Speaker 1: a fee for printing out the receipt or something, right.

1477
01:23:44,520 --> 01:23:47,000
Speaker 1: And also I feel like there's no that's probably the

1478
01:23:47,360 --> 01:23:49,920
Speaker 1: hot new scam is charging for bags but not actually

1479
01:23:50,000 --> 01:23:52,519
Speaker 1: charging for the bag, because I don't think that stores

1480
01:23:52,560 --> 01:23:55,439
Speaker 1: are counting how many bags that they're giving away. Um,

1481
01:23:55,479 --> 01:23:57,439
Speaker 1: I know they're not at rouse because that's my biggest scam.

1482
01:23:57,479 --> 01:23:59,679
Speaker 1: And when I got to like the grocery stores, I'll

1483
01:24:00,080 --> 01:24:04,479
Speaker 1: get all my stuff and I'll say no bags. Then

1484
01:24:04,520 --> 01:24:06,720
Speaker 1: I'll pay, and then they'll close the card and then

1485
01:24:06,720 --> 01:24:09,639
Speaker 1: I'm like I can't carry all this what was that again?

1486
01:24:10,280 --> 01:24:11,760
Speaker 1: And then I'll never ring me back up for the

1487
01:24:11,760 --> 01:24:16,800
Speaker 1: bags and just give me a bag. It's terrible. Let's

1488
01:24:16,800 --> 01:24:19,720
Speaker 1: self check out. They don't check Oh no, but I

1489
01:24:19,760 --> 01:24:21,360
Speaker 1: feel weird in the self check out, So I'll be

1490
01:24:21,400 --> 01:24:23,679
Speaker 1: like I got three bags when really I got Telly.

1491
01:24:23,800 --> 01:24:25,680
Speaker 1: That's funny. Yeah, I'll give him a little bit, a

1492
01:24:25,720 --> 01:24:29,880
Speaker 1: little because then I'll go to the regular counter and

1493
01:24:29,920 --> 01:24:34,000
Speaker 1: be like like I can't carry this grocery car to

1494
01:24:34,200 --> 01:24:36,519
Speaker 1: be some bad I think it's because with that, you're

1495
01:24:36,560 --> 01:24:39,760
Speaker 1: like actually giving them a chance to do it. Charged? Yeah,

1496
01:24:39,840 --> 01:24:42,680
Speaker 1: where did charge on his? Like the honor system? And

1497
01:24:42,720 --> 01:24:45,080
Speaker 1: I think it's it's so easy to get away with, right,

1498
01:24:45,479 --> 01:24:48,200
Speaker 1: I don't know what it a challenge. She loved the chill.

1499
01:24:48,680 --> 01:24:50,599
Speaker 1: That might be it for me. I think I might

1500
01:24:50,680 --> 01:24:56,800
Speaker 1: just enjoy duping people. It makes me feel smart, Like, Okay,

1501
01:24:57,200 --> 01:25:01,240
Speaker 1: what it that's so true? Why do I do that? Bags?

1502
01:25:01,320 --> 01:25:03,720
Speaker 1: As long as you don't do me? And that it

1503
01:25:03,840 --> 01:25:05,559
Speaker 1: was that it was okay that I gave you my

1504
01:25:05,600 --> 01:25:08,720
Speaker 1: social Security number? Is I'm just verifying it. Yeah, you're

1505
01:25:08,720 --> 01:25:10,960
Speaker 1: going to turn that into like big investments right. Oh

1506
01:25:10,960 --> 01:25:20,479
Speaker 1: of course we're credited seating social security number. Well, thank

1507
01:25:20,479 --> 01:25:22,800
Speaker 1: you so much for joining me. Thank you for having me.

1508
01:25:23,400 --> 01:25:25,760
Speaker 1: So tell people where they can find you in more

1509
01:25:25,800 --> 01:25:28,680
Speaker 1: about the podcast. Oh great. So you can find me

1510
01:25:28,960 --> 01:25:31,240
Speaker 1: um Lacey Mosley at d I V A l A

1511
01:25:31,360 --> 01:25:34,920
Speaker 1: c I DVA Lacey on all platforms Instagram, Twitter, then

1512
01:25:35,000 --> 01:25:39,040
Speaker 1: mo the like. Um, you can follow Scam Gottess at

1513
01:25:39,040 --> 01:25:41,599
Speaker 1: Scam got his Pot on Twitter and on Instagram. And

1514
01:25:41,680 --> 01:25:43,120
Speaker 1: if you have any scams that you want to share

1515
01:25:43,160 --> 01:25:46,480
Speaker 1: with me that you're retiring or any time you've been scammed.

1516
01:25:46,880 --> 01:25:50,120
Speaker 1: U scam got his pot at gmail dot com And

1517
01:25:50,280 --> 01:25:54,439
Speaker 1: don't don't scam the elderly only scam big face. Yes, yes,

1518
01:25:54,479 --> 01:25:56,839
Speaker 1: please do not scam the elderly. That is so hurtful.

1519
01:25:56,880 --> 01:26:00,000
Speaker 1: And also, guys, watch Florida Girls on pop tv um.

1520
01:26:00,160 --> 01:26:01,880
Speaker 1: The whole season is out now, so you can stream

1521
01:26:01,920 --> 01:26:04,040
Speaker 1: the whole thing on or you can get on iTunes

1522
01:26:04,120 --> 01:26:07,080
Speaker 1: or Amazon and download it. It's really fun, guys. And

1523
01:26:07,120 --> 01:26:11,400
Speaker 1: you can follow us on the internets. Uh, Creature feature

1524
01:26:11,479 --> 01:26:16,040
Speaker 1: Pod dot com, Creature Feature Pod on Instagram, Creature feet Pod.

1525
01:26:16,160 --> 01:26:19,920
Speaker 1: We couldn't get Creature feature pot on Twitter, creature like

1526
01:26:20,680 --> 01:26:24,360
Speaker 1: it's it's not it's f e a T. Don't type

1527
01:26:24,360 --> 01:26:28,519
Speaker 1: in creature fet because you will get you will get

1528
01:26:28,600 --> 01:26:32,439
Speaker 1: something that's uh not endorsed by this podcast. And you

1529
01:26:32,479 --> 01:26:35,880
Speaker 1: can find me online at Katie Golden Um. And I'm

1530
01:26:35,920 --> 01:26:39,000
Speaker 1: also a bird on Twitter at pro bird Writes where

1531
01:26:39,040 --> 01:26:42,760
Speaker 1: I am a real, actual, factual bird. The greatest scam

1532
01:26:42,800 --> 01:26:45,880
Speaker 1: ever pulled was birds because they're not they are they

1533
01:26:45,880 --> 01:26:48,040
Speaker 1: are real. I don't know. I don't after listening to

1534
01:26:48,080 --> 01:26:53,479
Speaker 1: this podcast, I don't know. It's birds scams. Bird is scams.

1535
01:26:53,600 --> 01:26:58,600
Speaker 1: Birds is scams and thanks to the Space Classics for

1536
01:26:58,640 --> 01:27:00,720
Speaker 1: their awesome song Solumina.