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Speaker 1: Welcome to Creature feature production of I Heart Radio. I'm

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Speaker 1: your host of Many Parasites, Katie Golden. I studied psychology

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Speaker 1: and evolutionary biology, and today on the show Inventions Versus Animals,

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Speaker 1: Can we innovate our way into being as cool as

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Speaker 1: animals can? Animals inspire breakthroughs in medical devices? And what

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Speaker 1: does one of history's greatest inventors and sharks have in common?

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Speaker 1: Discover this more as we answer the age old question

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Speaker 1: who smells the best in the animal kingdom? Or do

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Speaker 1: they all smell terrible? Joining me today is Friend of

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Speaker 1: the Pod, Friend of Me, Katie and host of a

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Speaker 1: podcast that I like to describe as a warm blanket

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Speaker 1: that educates you, called secretly incredibly fascinating. Welcome Alex Schmidt.

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Speaker 1: It is so good to be here. I'm glad to

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Speaker 1: be in this blanket. Feels nice wintertime, northern hemisphere. Gotta

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Speaker 1: bundle up. Yeah, just a blanket of education about animals.

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Speaker 1: Thankfully it's not a blanket man out of real animals,

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Speaker 1: because that would probably be very stinky, being kind of

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Speaker 1: clawing you, you know, biting at you, a lot of

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Speaker 1: mucus maybe depending on the animal. Just saying one of

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Speaker 1: one of Nature's greatest gifts is the fiber animal, where

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Speaker 1: you can shear them and receive the fiber and you

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Speaker 1: don't have to use the actual animal a time. It

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Speaker 1: worked out great. Thank you Nature, Thank you sheep, thank

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Speaker 1: you sheeple. But yes, so we are talking about how

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Speaker 1: animals stack up to real life inventions, and sometimes animals

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Speaker 1: can inspire inventions. Um. But first I want to talk

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Speaker 1: about animal smell. And smell is one of those things

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Speaker 1: that to me is very mysterious and ephemeral because you

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Speaker 1: got this nose. Look if I if I, if I

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Speaker 1: smell funny today, you can just say so, like I know,

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Speaker 1: it's so bad. It comes through a zoom and I'm

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Speaker 1: working on it. Okay, I was gonna say. They're like

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Speaker 1: stink plumes coming out of the computer, like like green

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Speaker 1: stink lines like in cartoons, and some little some little

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Speaker 1: flies hovering around. Yeah, I do. I do. Every every Christmas,

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Speaker 1: I receive a Peanuts collection, and the one from this

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Speaker 1: Christmas like pig Pen as the cover boy. Pig Pen

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Speaker 1: is very much on my mind all the time. Now.

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Speaker 1: I just think about the dirtiest character in cartoons frequently.

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Speaker 1: The classic pig Pin stink lines. Unfortunately, we cannot see

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Speaker 1: smell and we can't We can't send smells over the

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Speaker 1: internet yet, which I would love. I would love that

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Speaker 1: if we could, because then you read a recipe instead

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Speaker 1: of getting the huge prayamble before on the recipe about

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Speaker 1: like their childhood or their favorite dog or something. It's like,

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Speaker 1: it's the smell of the cooked product over the internet.

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Speaker 1: We don't have that technology yet. Humans, we have great eyes, sight,

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Speaker 1: great cognitive ability, and you know, decent smell, a decent

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Speaker 1: sense of smell, but by far it is not the

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Speaker 1: best sense of smell in the animal kingdom, Alex, what

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Speaker 1: animal would you guess has the best recorded sense of smell?

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Speaker 1: I always I feel like cartoons told me dogs. I'll

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Speaker 1: go with dogs. Cartoons. Once again, I'm leading on essentially

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Speaker 1: snoopyed out, which is maybe typical, But cartoons told me

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Speaker 1: that if a dog is hungry enough, it'll hallucinate you

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Speaker 1: as a giant steak and float over there like on

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Speaker 1: the smell lines coming out of the giant steak that

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Speaker 1: is you. Yeah, especially if you're a very tall, skinny guy,

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Speaker 1: you'll be imagined as a hot dog. And if you're

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Speaker 1: sort of a rounder, wider guy, you'll be a hamburger

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Speaker 1: because it's just science, folks. Yeah, exactly, it's science. Look

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Speaker 1: it up, read a book. So yeah, so how do

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Speaker 1: you even test the sensitivity of an animal's nose Because

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Speaker 1: you can't like take an old sock and hold it

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Speaker 1: up to a variety of animals and like see who

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Speaker 1: passes out. There's got to be some scientific method with it.

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Speaker 1: So researchers have studied old factory receptor genes. So the

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Speaker 1: old factory UH system is the UH the smelling, the smell,

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Speaker 1: the sniffer, and we have genes that will have genetic

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Speaker 1: information relating to our old factory receptors. So there are

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Speaker 1: a variety of mammalian species that researchers have looked at

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Speaker 1: and they have found that, first of all, there's a

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Speaker 1: ton of genes across these species that will code for

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Speaker 1: for smell receptors. They've identified a total of ten thousand

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Speaker 1: old factory genes over thirteen mammals that they studied, and

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Speaker 1: in contrast, these mammals shared only an average of three

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Speaker 1: same genes amongst each other. So that means that out

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Speaker 1: of ten thousand total identified receptor genes, they've only found

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Speaker 1: that they're about three of them that these thirteen mammals

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Speaker 1: they've studied share. So each animal species seems to have

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Speaker 1: their very own unique library of old factory receptor genes.

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Speaker 1: Three out of ten thousand that are that crossover. This

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Speaker 1: is incredible. So there's a huge diversity of genes that

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Speaker 1: when it comes to old factory receptors and uh, they

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Speaker 1: have studied how many genes each species has, and the

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Speaker 1: knows the researchers studied that belonged to the animal with

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Speaker 1: the most old factory gene means was also the nose

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Speaker 1: that makes this sound. So, Alex, who do you think

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Speaker 1: that is? I ran out of the room screaming, I'm sorry.

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Speaker 1: Maybe maybe this sound will help you whittle it down

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Speaker 1: a little more So among the animals studied, elephants are

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Speaker 1: the clear winner when it comes to number of old

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Speaker 1: factory genes. So they have two thousand genes that code

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Speaker 1: for old factory receptors. In comparison, dogs only had one thousand,

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Speaker 1: and humans and chimps had fewer than four hundred of

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Speaker 1: these genes. I feel like that's tracking with Schna's length.

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Speaker 1: I know that's not how it works, but I like it.

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Speaker 1: I mean, that's not necessarily a bad idea. Elephant trunks

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Speaker 1: are incredibly long, incredibly complex. So the idea that maybe

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Speaker 1: because they have this really long trunk it could also

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Speaker 1: be more sophisticated when it comes to smell, it is not.

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Speaker 1: I don't think that's a I think that is probably

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Speaker 1: pretty accurate. Man. It's like it's like a Christmas stocking,

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Speaker 1: Like the longer it is, the more candy you're gonna get.

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Speaker 1: It is fantastic. Just filling it with jeans in the night,

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Speaker 1: and that eating cookies and milk got in Santa. I

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Speaker 1: guess in this case also evolution. It's a lack going on.

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Speaker 1: I mean, Darwin is kind of like an evolution Santa.

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Speaker 1: I guess when you think about it, He's got the beard,

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Speaker 1: he's got the jolly belly that he fills with eating

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Speaker 1: animals he just discovered. So you know, instead of leaving

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Speaker 1: out cookies for Darwin, Santa, you leave out a plate

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Speaker 1: of some rare turtle from the Galapagos Islands so that

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Speaker 1: he can eat it. Okay, kids, let's prepare the plate

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Speaker 1: of finches like whoa, whoa? What? Hold on? Like he

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Speaker 1: likes he likes to taste everything. He studies. An entire

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Speaker 1: wooden English ship lands on your roof. It's terrible, huge

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Speaker 1: hall marks on it. Remember some orange slices. Kids, they've

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Speaker 1: all got scurvy. So the question is does the number

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Speaker 1: of our factory genes necessarily translate to a better sense

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Speaker 1: of smell, because if they have, If elephants have about

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Speaker 1: two thousand of these genes and dogs only have one thousand,

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Speaker 1: our elephants twice as good at smelling as dogs. Well,

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Speaker 1: we don't know exactly how the number of genes transcribes

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Speaker 1: to goodness of smelling skills, but it does seem that

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Speaker 1: more of these genes indicates better senses of smell. So

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Speaker 1: research has shown that Asian elephants are at least as

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Speaker 1: good as mice, who have around hundred old factories genes

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Speaker 1: at telling the difference between smells. So elephants have a

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Speaker 1: lot of really amazing smell skills. They're able to recognize

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Speaker 1: their family members based on the smell of urine, which

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Speaker 1: I guess is one way to do business cards. Basically,

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Speaker 1: an elephant business card is p That's why I don't

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Speaker 1: put it in my wallet. Yeah, that's why elephant hands

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Speaker 1: you this big, stinky, soggy card and it's just covered

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Speaker 1: in its urine. Imagine like meeting an elephant who you

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Speaker 1: can communicate with and being like, I'll still need a

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Speaker 1: business card to remember this. I need a lot of

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Speaker 1: elephants I communicate with, Like, give me, give me something

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Speaker 1: I can hang on too for this memory. Yeah, put

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Speaker 1: it in the rollodex under elephant. Uh, people don't there's

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Speaker 1: there aren't even really business Do people still use business

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Speaker 1: cards anymore? They certainly don't use rolodex as I know that. Yeah,

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Speaker 1: I made some for me in my show, but I yeah,

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Speaker 1: I don't meet people in person very often, so I

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Speaker 1: I just sort of have them. It's mainly been useful

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Speaker 1: for like, if I meet someone who I want to

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Speaker 1: convince to like listen to it, I can just give

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Speaker 1: them that instead of that's a great idea. I feel

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Speaker 1: like I should do a business card. But it's a

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Speaker 1: scratch and sniff and you scratch and it's sniff you

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Speaker 1: sniff and it smells like skunk or like the or

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Speaker 1: a bent a wrong anal gland, or maybe maybe a

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Speaker 1: beaver anal gland, and it will smell like vanilla. We

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Speaker 1: actually talked about that on Alex's show because it's yeah yeah,

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Speaker 1: So just hop over to cast storium dot com promo code.

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Speaker 1: It's a promo code creature for your very own vial

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Speaker 1: of beaver or anal gland castorrium which has the lovely

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Speaker 1: smell and flavor of vanilla. So elephants can also detect

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Speaker 1: the difference and smells between two groups of people, especially

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Speaker 1: when their life is at stakes. So they can smell

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Speaker 1: the difference between populations of people and will avoid people

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Speaker 1: who hunt them, and they are less avoidant of people

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Speaker 1: who don't pose a threat to them. So when they

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Speaker 1: are presented with clothes worn by people from a certain

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Speaker 1: village or group who are more likely to hunt them,

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Speaker 1: the elephants show more of a fear response versus clothes

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Speaker 1: from the same types of clothes from another group where

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Speaker 1: they are much less likely to hunt the elephants. Additionally,

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Speaker 1: and this is um this is unrelated to their sense

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Speaker 1: of smell, but to their intelligence, they can tell the

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Speaker 1: difference in humans based on their voices, their accent, the

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Speaker 1: color of their clothes, and they will wreck ignize them

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Speaker 1: and take a note of it. So if there's a

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Speaker 1: group of people who are more likely to hunt elephants

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Speaker 1: or to kill elephants. They will avoid and learn their accents.

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Speaker 1: It's really incredible. Yeah, so I this is thrilling for me,

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Speaker 1: especially because I used to be a zoo tour guide, right,

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Speaker 1: and so I'd be on a tram going around a zoo,

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Speaker 1: projecting my voice through a speaker system as we, among

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Speaker 1: other things, went past elephants. This leads me to believe

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Speaker 1: they got to know me. This is probably. This is

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Speaker 1: really cool. Yeah, absolutely, hide your smell on. They're like, hey,

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Speaker 1: look at those stink lines. It must be Alex Schmidt.

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Speaker 1: Yeah that too, Yeah, the honey voiced pig pan of

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Speaker 1: Brookfield Zoom Alex Schmidt. There is is that on your

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Speaker 1: business card? The honey voiced pigpen of the zoo? Yeah? Yeah.

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Speaker 1: And then they forget my podcast completely, they do. They're distracted.

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Speaker 1: You need to work on your elevator pitch. It's like, hey,

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Speaker 1: what's your podcast? Like, okay, so I'm disgusting first of all,

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Speaker 1: and I met some elephants this one time. It's not

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Speaker 1: like five year old telling a story like just constant

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Speaker 1: random details. It's like, I'm disgusting. That does not narrow

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Speaker 1: down podcast hosts. I'm sorry, that is like all podcasts.

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Speaker 1: We're disgusting. So this is what happens when you have

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Speaker 1: a non visual medium. We just you know, there's no

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Speaker 1: motivation there right now, there's like there's like an old

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Speaker 1: sock sort of stuck to my forehead. You know. It's

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Speaker 1: just there needs to be some accountability and there is none.

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Speaker 1: It's just exactly those Monty Python peasants every time thing

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Speaker 1: and it's one guy shouting about leftism. It really fits. Yeah,

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Speaker 1: that's that's exactly it for every podcast. They're all the same.

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Speaker 1: So furthermore, elephants show a greater sense of smell than

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Speaker 1: even dogs in terms of their accuracy. So elephants have

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Speaker 1: been shown to be able to distinguish between different quantities

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Speaker 1: of food. So, Alex, when you're smelling some food and

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Speaker 1: it's like there's a bowl of I don't know what's

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Speaker 1: a good what's a good food? You like the smell of, oh,

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Speaker 1: something about spaghetti? Spaghetti? I love spaghetti to um. So

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Speaker 1: you gotta plate of spaghetti with your favorite toppins with

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Speaker 1: your with meatballs and and marinara sauce, parm lots of harm,

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Speaker 1: just heaps of farm and you have another plate of

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Speaker 1: spaghetti and they're behind a curtain, And if you had

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Speaker 1: to smell these two plates of spaghetti, would you be

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Speaker 1: able to tell the difference between a plate that's like

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Speaker 1: more spaghetti than the other plate. Like, hey, this is

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Speaker 1: like a big heap of spaghetti and this is just

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Speaker 1: sort of a medium heap of spaghetti. I would never

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Speaker 1: know amounts. That's amazing. Yeah, neither can dogs. So take that, dogs,

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Speaker 1: You're not so great? Uh That I said to my

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Speaker 1: dog today when I was researching this is like, ha ha,

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Speaker 1: See you and I aren't so different. Think you better

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Speaker 1: than me just because you've got more sensitive nos how

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Speaker 1: we treat if I got in my hand, you don't know? Well?

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Speaker 1: Funny interesting. So I'm also realized that I set us

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Speaker 1: up for a dog eating spaghetti, which is pure lady

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Speaker 1: on the tramp stuff. Yeah again, teaching us all tramp

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Speaker 1: imagining the waiters is like giant steaks eat some It

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Speaker 1: might be thinking of a different movie. Even though dogs

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Speaker 1: cannot do this task, Asian elephants can. Asian elephants in

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Speaker 1: Thailand were tested on this task, and they were able

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Speaker 1: to tell the difference between buckets of sunflower seeds, because

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Speaker 1: apparently elephants like some flower seeds, and they would have

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Speaker 1: these two opaque buckets with little holes in it so

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Speaker 1: the smells could come out, but you couldn't see into

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Speaker 1: them with different quantities of sunflower seeds, and they would

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Speaker 1: consistently pick the bucket with more sunflower seeds based on

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Speaker 1: smell alone. And this was even when the quantity between

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Speaker 1: the buckets only different by like a hundred seeds or so.

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Speaker 1: So that's absolutely amazing that they can smell quantities they

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Speaker 1: can count with their nose. Yeah, that's that's such a

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Speaker 1: higher level. Yeah, man, it's smell math. And I like

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Speaker 1: that they like sunflower seeds because I associate that snack

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Speaker 1: with baseball. So that makes me imagine an elephant playing baseball,

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Speaker 1: hold the bat with the trunk, really good eaten sunflower seeds,

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Speaker 1: spitting them out with his trunk, like like he's using

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Speaker 1: his trunk as sort of a gattling gun and he's

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Speaker 1: spitting seeds out of it. This is definitely a cartoon.

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Speaker 1: I think that must exist. And you learned, so we

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Speaker 1: learned so much from cartoons, like how elephants play baseball. Unfortunately,

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Speaker 1: we don't really have any human inventions that can give

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Speaker 1: us like super smell. We have things like binoculars or

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Speaker 1: telescopes that can give us super sight. We even have

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Speaker 1: ways to amplify audio to give us superhearing, but there

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Speaker 1: is no device that can give you super smell, at

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Speaker 1: least not yet. There is some research to creating a

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Speaker 1: smell implant that would function similarly to a cochlear implant

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Speaker 1: that could help restore the sense of smell for people

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Speaker 1: who have lost their smell due to traumatic injury, which

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Speaker 1: is really important because a sense of smell, it's both

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Speaker 1: for safety being able to smell smoke or gas, but

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Speaker 1: also being able to smell food, and your smell has

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Speaker 1: such a big impact on your quality of life, being

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Speaker 1: able to smell the fragrance of everyday things, being able

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Speaker 1: to enjoy your meals better because smell actually plays a

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Speaker 1: huge role in our enjoyment of meals. So being able

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Speaker 1: to restore people's sense of smells actually this huge area

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Speaker 1: of medicine that we really need to have more breakthroughs in,

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Speaker 1: and so it's it's really interesting. Uh, the the research

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Speaker 1: is very preliminary. At this point, I saw like there

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Speaker 1: was some prototype for one of these potential smell implants.

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Speaker 1: And it's like a like a little smell microphone that

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Speaker 1: was attached to a pair of sunglasses that would like

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Speaker 1: dangle in front of your nose, send that information to

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Speaker 1: an external process sissor, and then that would go into

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Speaker 1: an implant in your brain. Uh. This has not ever

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Speaker 1: been tried on a human before. So the image was

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Speaker 1: like on as human skull or a you know, fake skull,

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Speaker 1: and so it was like the skull wearing sunglasses. I

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Speaker 1: mean for yeah, forget the small part. I just wanted

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Speaker 1: to skull wearing sunglasses just like my avatargrapher stuff and

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Speaker 1: sounds pretty cool. It's like it's like, yeah, what is

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Speaker 1: cooler than a skull wearing sunglasses? Nothing? Maximum coolness. Yeah,

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Speaker 1: maybe if he's were like riding a skateboard doing a kip,

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Speaker 1: kick a clip on a skateboard skeleton, sunglasses peak cool

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Speaker 1: can't get cooler. So even though there are no like

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Speaker 1: super smell binoculars that you can stick up your nose

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Speaker 1: like that future Ama, I think there was a thing

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Speaker 1: in Futurama where the professor had like a smelloscope which

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Speaker 1: was like a telescope but for smells, and he used

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Speaker 1: it to smell different planets, which is funny because astronauts

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Speaker 1: talk about how space has a weird smell. But yeah,

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Speaker 1: we're not we're not there yet. We don't have smell scopes,

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Speaker 1: but there is a smellometer. So it may not give

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Speaker 1: you a better sense of smell, but it's how you

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Speaker 1: can detect the intensity of odors. And it's called drum roll.

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Speaker 1: The nasal ranger. The nasal Rangers, I'm just imagined rangers

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Speaker 1: a bunch of teenagers and robots suits that form a

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Speaker 1: giant knows sniffing out crime like and your absorb will

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Speaker 1: be the right nostril. They're like, okay, okay, were is

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Speaker 1: this going? And yours will be the septom Uh what

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Speaker 1: part is that again? It's the part between the nostrils.

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Speaker 1: So the nasal ranger was invented by chemical engineer Chuck

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Speaker 1: McGinley and it looks it does kind of look like

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Speaker 1: nose binoculars. It's this long, conical device you stick up

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Speaker 1: to your nose and you just start sniffing. It's like

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Speaker 1: a megaphone kind of, but you put it over your

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Speaker 1: nose and I've shared with you, Alex, and this will

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Speaker 1: be in the show notes a a picture of Check

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Speaker 1: McGinley showcasing the Nasal Ranger, and it's I think one

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Speaker 1: of my favorite pictures other than the skull wearing the sunglasses.

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Speaker 1: This is also one of my favorite pictures on the internet.

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Speaker 1: He does well because he's wearing sunglasses and he's outdoors,

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Speaker 1: so he's he's on the go collecting spells. Really good.

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Speaker 1: It's so good. Yeah, it's it sort of looks like

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Speaker 1: he's trying to speed gun traffic, but with his nose,

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Speaker 1: I can smell a speeder. Yeah, he's checking if anybody's

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Speaker 1: like not, if anybody doesn't have one of those little

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Speaker 1: pine tree air fresheners, then he's gonna catch them and

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Speaker 1: pull them over. There's a new law against stinkiness, and

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Speaker 1: so he stands on the side of the road just

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Speaker 1: smelling people as they come by, and then turns on

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Speaker 1: his lights and follows you. If you're a little too stinky.

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Speaker 1: I mean, that's actually not as far from the truth

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Speaker 1: as you would think. So this doesn't no, no, it's

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Speaker 1: it's a good thing. I gotta air freshening fast. He's

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Speaker 1: coming for you. It's like, I don't even need this.

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Speaker 1: I can see the stink lines coming off with alex

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Speaker 1: miles away, So it doesn't enhance smell. But what it

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Speaker 1: does is it helps you hone in and measure the

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Speaker 1: intensity of a smell. So you put this over your nose,

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Speaker 1: kind of forms a seal over your nose. So you're

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Speaker 1: smelling through this like smell scope, and it has an

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Speaker 1: aperture that allows the odor in and as you're smelling,

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Speaker 1: you can slowly close the aperture so it gets smaller

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Speaker 1: and smaller. The goal is to close this until you

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Speaker 1: can no longer smell the smell, and it measures, you know,

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Speaker 1: how tiny this little pinhole is as you close it,

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Speaker 1: And the tinier that hole is, the more powerful the

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Speaker 1: smell because the more the smell can infiltrate the nasal ranger.

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Speaker 1: Which it's one of those things that it's an invention

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Speaker 1: where you think, oh right, duh. It's just seeing like

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Speaker 1: how much smell can fit through a little tiny hole.

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Speaker 1: And if the smell is really strong, it's going to

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Speaker 1: be able to get through this little tiny hole easier

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Speaker 1: than smells that are weaker. And it's it's very simple,

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Speaker 1: but it works. Yeah. I like that. It's a system

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Speaker 1: of basically getting overloaded or overwhelmed by smell. Like I

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Speaker 1: know the machine is not upset, but it's just like whoa, whoa,

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Speaker 1: whoa whoa. If the smell is strong, that's cool. Well, no,

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Speaker 1: it's the human. Here's the really interesting thing is it's

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Speaker 1: the it has to be operated by a human. There's

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Speaker 1: no machine sort of detecting, because you can have something

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Speaker 1: that like detects some source of odor, but this is

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Speaker 1: actually just a human operated device. So the human operator.

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Speaker 1: You hold it up to where you can smell something,

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Speaker 1: and you smell and you're like, I can still smell it,

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Speaker 1: and you close the aperture a little bit. It's like

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Speaker 1: you can still smell it, and you just keep sniffing

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Speaker 1: until you can't smell it anymore, and then you take

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Speaker 1: your measurement. Wow, okay, you're like a surveyor. Yeah, yeah,

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Speaker 1: I mean it's it's it's kind of old school, but

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Speaker 1: in a really cool way. It's like, you know, you

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Speaker 1: just sense person out there to go sniffing around until

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Speaker 1: they find a smell. And this this guy's lab, it's

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Speaker 1: involved with a bunch of like smell related science where

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Speaker 1: they go around trying to identify foul odors, finding out

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Speaker 1: where they are. They create like a sort of lexicon

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Speaker 1: for how to describe smells. And this is actually really

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Speaker 1: important for a few reasons. It can actually be used

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Speaker 1: to measure the power of odors from factories, chemical plants,

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Speaker 1: and other industry, which is really important for quality of

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Speaker 1: life and for people's health. So, foul smells from industry

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Speaker 1: can sometimes make people ill, it can reduce quality of life,

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Speaker 1: and it's something really hard to quantify. If so you

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Speaker 1: live near some industrial plant, you're like, it smells really bad.

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Speaker 1: You know, you can't like capture the smell in a

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Speaker 1: jar and send it to the police. So and I've tried,

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00:26:05,000 --> 00:26:10,680
Speaker 1: and I've tried the jars back. No, pretty at least

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00:26:10,680 --> 00:26:14,760
Speaker 1: give the jar back. So if you want to be

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Speaker 1: able to quantify a bad smell, you need some kind

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00:26:18,240 --> 00:26:22,400
Speaker 1: of bad smell measurement device and this nasal ranger can

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00:26:22,480 --> 00:26:28,600
Speaker 1: do that. And so this can help researchers by like

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Speaker 1: taking sort of somewhat objective ways to measure the power

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Speaker 1: of a smell, and then they can use that in

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Speaker 1: research to see if there are health implications for people

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Speaker 1: who are living near industrial plants or uh quality of

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Speaker 1: life implications. And this this is a very important issue.

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Speaker 1: And this is also something that disproportionately affects lower income

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Speaker 1: people who often live closer to industrial related or pollution sources,

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00:27:02,000 --> 00:27:04,919
Speaker 1: and so it is something that could be used to

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Speaker 1: help guide policy to try to make up for some

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00:27:07,840 --> 00:27:12,440
Speaker 1: institutional inequality when it comes to something like smell, which

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00:27:12,920 --> 00:27:16,120
Speaker 1: it's again one of those things that's easy to kind

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00:27:16,119 --> 00:27:18,760
Speaker 1: of brush off, is like, well, you know, detecting the

396
00:27:18,840 --> 00:27:21,440
Speaker 1: strength of smells. It's kind of it's kind of funny,

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00:27:21,480 --> 00:27:23,840
Speaker 1: and I mean it is very funny to see someone

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00:27:23,840 --> 00:27:26,720
Speaker 1: operating one of these things. But it's something that when

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00:27:26,720 --> 00:27:30,520
Speaker 1: you think about, yeah, like being able to detect odors,

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00:27:30,640 --> 00:27:34,520
Speaker 1: especially when it comes to like a chemical plant or

401
00:27:34,560 --> 00:27:39,240
Speaker 1: an industrial plant that's releasing odor pollution, it's very important.

402
00:27:39,640 --> 00:27:43,240
Speaker 1: Oh yeah, I think, man that when I saw this

403
00:27:43,280 --> 00:27:46,280
Speaker 1: guy's picture, I gott a cop vibe, but I think

404
00:27:46,280 --> 00:27:48,359
Speaker 1: in a good way. Like his His whole vibe is

405
00:27:48,400 --> 00:27:51,280
Speaker 1: not like, look at me doing smells, ha ha. He's like,

406
00:27:51,400 --> 00:27:54,680
Speaker 1: I am on patrol. I'm going to like catch an

407
00:27:54,720 --> 00:27:57,920
Speaker 1: odor that is ruining someone's life. That's really cool. He's

408
00:27:57,960 --> 00:28:05,520
Speaker 1: a smell detective. This the smelliest detective out there. I'm sorry,

409
00:28:05,640 --> 00:28:09,840
Speaker 1: I didn't mean that. Yeah, and so long we've outsourced

410
00:28:09,840 --> 00:28:13,160
Speaker 1: the two hounds and other dogs. Finally a human can

411
00:28:13,200 --> 00:28:15,879
Speaker 1: step in take that job from a doc. Imagine an

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00:28:15,920 --> 00:28:19,400
Speaker 1: old bloodhound really being mad. That's some guys, some guy

413
00:28:19,480 --> 00:28:33,200
Speaker 1: with his his crazy device stole his job. So, Alex,

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00:28:33,280 --> 00:28:38,160
Speaker 1: you know that show Shark Tank. Yeah, yeah, it's that

415
00:28:38,320 --> 00:28:43,040
Speaker 1: show where inventors show their stuff too prospective, I guess investors,

416
00:28:43,040 --> 00:28:45,880
Speaker 1: and they judge them or make fun of them, or

417
00:28:45,960 --> 00:28:51,600
Speaker 1: sometimes invest in their product. And those inventions can get

418
00:28:51,640 --> 00:28:55,080
Speaker 1: pretty silly. There was one where a guy made like

419
00:28:55,120 --> 00:28:59,400
Speaker 1: a Transformers costume that you could drive around in. So like,

420
00:29:01,000 --> 00:29:05,160
Speaker 1: what's the silly part? You wear like a car chassis

421
00:29:05,600 --> 00:29:08,120
Speaker 1: and but then it's it's like made out of plastic

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00:29:08,160 --> 00:29:10,840
Speaker 1: and so you kind of hunch over on all fours

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00:29:10,920 --> 00:29:13,480
Speaker 1: on the ground. And I've seen versions of this costume

424
00:29:13,520 --> 00:29:15,960
Speaker 1: that worked really well, but this one like the ideas

425
00:29:16,400 --> 00:29:19,520
Speaker 1: that you are actually able to drive around, like as

426
00:29:19,520 --> 00:29:24,520
Speaker 1: if you're a r C car, and so you're balancing

427
00:29:24,600 --> 00:29:29,640
Speaker 1: on these drivable wheels and awkwardly rolling around. And when

428
00:29:29,640 --> 00:29:32,239
Speaker 1: you see it, it's this adult man sort of on

429
00:29:32,280 --> 00:29:36,920
Speaker 1: all fours, somewhat look covered in a car chassis, but

430
00:29:37,120 --> 00:29:41,160
Speaker 1: he can't fully fold himself because you know, he's a

431
00:29:41,200 --> 00:29:45,480
Speaker 1: grown man. And then and so he's kind of balancing

432
00:29:45,760 --> 00:29:49,560
Speaker 1: on these wheels that are rolling around really awkwardly, and

433
00:29:49,600 --> 00:29:52,600
Speaker 1: it's kind of nightmare fuel. I mean, the most awkward

434
00:29:52,640 --> 00:29:56,440
Speaker 1: part was probably when all five sharks tried to give

435
00:29:56,520 --> 00:29:59,760
Speaker 1: him all of the money they had. That really put

436
00:29:59,840 --> 00:30:04,520
Speaker 1: some tension on the show. There was another one called

437
00:30:04,680 --> 00:30:09,720
Speaker 1: the euro Club, which I mean euro club sounds like

438
00:30:09,920 --> 00:30:12,920
Speaker 1: some kind of cool discothequa, you know, where your ego

439
00:30:13,280 --> 00:30:18,600
Speaker 1: and go to a European sort of flavored nightclub. No,

440
00:30:19,160 --> 00:30:22,040
Speaker 1: it's a hollow golf club that you pe in. Oh

441
00:30:22,120 --> 00:30:24,880
Speaker 1: like you like U r oh, Not U r oh, Yes,

442
00:30:25,040 --> 00:30:29,000
Speaker 1: euro U r O Club. It's a hollow golf club

443
00:30:29,080 --> 00:30:32,120
Speaker 1: that you put your wiener in in PN So there's

444
00:30:32,120 --> 00:30:35,240
Speaker 1: a little privacy sheet near the handle that you drape

445
00:30:35,280 --> 00:30:38,000
Speaker 1: over so nobody can see your bits while you're peeing

446
00:30:38,480 --> 00:30:41,520
Speaker 1: into a hollow golf club, so you don't have to

447
00:30:41,560 --> 00:30:43,480
Speaker 1: go all the way to the bathroom while you're on

448
00:30:43,520 --> 00:30:47,800
Speaker 1: the golf course. Yeah, because if there's one thing golfers love,

449
00:30:47,920 --> 00:30:50,920
Speaker 1: it's rough in it. That's why they never use carts.

450
00:30:51,080 --> 00:30:54,000
Speaker 1: Or have a nineteenth whole drink or anything. They love

451
00:30:54,040 --> 00:30:58,800
Speaker 1: having a really rustic day. My favorite, My favorite thing

452
00:30:58,880 --> 00:31:02,200
Speaker 1: about the Peeple Golf Club is that then when you're done,

453
00:31:02,200 --> 00:31:04,280
Speaker 1: and I guess you steal it off, Like you just

454
00:31:04,560 --> 00:31:07,959
Speaker 1: have this club you're carrying around that's sloshing around with

455
00:31:08,120 --> 00:31:12,400
Speaker 1: warm urine in it, and you know it smells. You

456
00:31:12,480 --> 00:31:16,000
Speaker 1: know that it has to smell like pe because it's not.

457
00:31:16,480 --> 00:31:20,240
Speaker 1: It's it's gonna it's gonna smell a peak, and every

458
00:31:20,320 --> 00:31:24,160
Speaker 1: swing would feel weird, like you you mess with the

459
00:31:24,480 --> 00:31:28,000
Speaker 1: entire rhythm that you like, you'd be so much worse

460
00:31:28,040 --> 00:31:36,400
Speaker 1: at golf, Alex, I'm not sure that they golf. The

461
00:31:36,480 --> 00:31:40,720
Speaker 1: weight is wrong. I'm not sure that you're actually supposed

462
00:31:40,720 --> 00:31:43,680
Speaker 1: to golf with the pea club or just put it

463
00:31:43,760 --> 00:31:48,440
Speaker 1: in amongst your other clubs so that you can discreetly

464
00:31:48,600 --> 00:31:53,960
Speaker 1: pee into a club shaped urinal and it's rock you

465
00:31:54,040 --> 00:31:57,560
Speaker 1: put a key in outside your place. It's just it's

466
00:31:57,640 --> 00:32:02,360
Speaker 1: just a fakey hiding plant, right for your peace. Like

467
00:32:02,760 --> 00:32:06,240
Speaker 1: I like your idea better. It's like, okay, so you

468
00:32:06,320 --> 00:32:08,240
Speaker 1: might as well be able to play golf with it,

469
00:32:08,400 --> 00:32:11,600
Speaker 1: right right? Yeah? My, you know you pack your bag

470
00:32:11,800 --> 00:32:15,400
Speaker 1: to be optimized exactly. You don't want to golf club.

471
00:32:15,440 --> 00:32:23,960
Speaker 1: You can't golf with Yeah, cowards, these wonderful inventions aside,

472
00:32:24,160 --> 00:32:28,400
Speaker 1: How do you think it'd go if Nicola Tesla showed

473
00:32:28,480 --> 00:32:31,880
Speaker 1: up on Shark Tank. Let's have a shark tank in

474
00:32:32,000 --> 00:32:35,400
Speaker 1: Nicola Tesla's time. Do you think he'd get like laughed

475
00:32:35,400 --> 00:32:39,160
Speaker 1: out of the room for his alternating current and his

476
00:32:39,480 --> 00:32:45,600
Speaker 1: X ray technology. I hope he goes in only speaks

477
00:32:45,640 --> 00:32:49,840
Speaker 1: Serbian or Croatian and just makes them catch up. I

478
00:32:49,880 --> 00:32:53,880
Speaker 1: do feel really bad for Tesla because he you know,

479
00:32:54,480 --> 00:32:57,200
Speaker 1: I feel like a lot of the recognition of his

480
00:32:57,280 --> 00:33:02,600
Speaker 1: talent was posthumous. There's an invention he made that really

481
00:33:02,640 --> 00:33:07,960
Speaker 1: only got recognition many many decades after he died, and

482
00:33:08,440 --> 00:33:12,440
Speaker 1: he probably would have been better off presenting his inventions

483
00:33:12,480 --> 00:33:16,560
Speaker 1: at an actual shark tank with real sharks, because this

484
00:33:16,720 --> 00:33:20,840
Speaker 1: invention took a page right out of shark biology. Did

485
00:33:20,880 --> 00:33:26,680
Speaker 1: you like that segue? Like? Yeah, it feels crazy. So.

486
00:33:27,560 --> 00:33:32,160
Speaker 1: The Tesla valve is one of Tesla's inventions that he

487
00:33:32,280 --> 00:33:35,920
Speaker 1: intended to use in a steam engine, which allows for

488
00:33:35,960 --> 00:33:39,920
Speaker 1: the flow of fluids in only one direction with no

489
00:33:40,080 --> 00:33:45,680
Speaker 1: moving parts or power needed. The Tesla valve is basically

490
00:33:45,720 --> 00:33:50,600
Speaker 1: a series of tear drop shaped tubes where water can

491
00:33:50,680 --> 00:33:54,120
Speaker 1: flow in one direction, but but when it tries to

492
00:33:54,160 --> 00:33:57,719
Speaker 1: flow in the opposite direction, it becomes trapped in the

493
00:33:57,760 --> 00:34:01,400
Speaker 1: base of the loops. So if you have imagine you

494
00:34:01,440 --> 00:34:04,160
Speaker 1: have like a bendy straw, right and you bend it

495
00:34:04,200 --> 00:34:06,120
Speaker 1: in a U shape and you fill it with water,

496
00:34:06,200 --> 00:34:10,720
Speaker 1: you can actually trap the water inside the bottom of

497
00:34:10,760 --> 00:34:13,080
Speaker 1: that loop, whereas if you pour it out the other way,

498
00:34:13,080 --> 00:34:18,560
Speaker 1: it just comes right out of the straw. And so

499
00:34:18,800 --> 00:34:21,960
Speaker 1: the Tesla valve is like a bunch of these intersecting

500
00:34:22,160 --> 00:34:27,600
Speaker 1: U shaped loops of a hollow tube structure, so it

501
00:34:27,640 --> 00:34:30,440
Speaker 1: can flow one way, but then the other way it

502
00:34:30,480 --> 00:34:34,400
Speaker 1: gets trapped in the basin of these loops. Yeah, I'm

503
00:34:34,400 --> 00:34:37,680
Speaker 1: seeing a diagram here. It's a really cool way to

504
00:34:38,880 --> 00:34:41,360
Speaker 1: do the one way pushing on something. I guess. I

505
00:34:41,360 --> 00:34:43,800
Speaker 1: feel like the steam era was all about pushing steam.

506
00:34:44,320 --> 00:34:47,480
Speaker 1: It was just like that was the entire idea, and

507
00:34:47,520 --> 00:34:51,840
Speaker 1: it let them do everything, including like brass Zeppelin stuff

508
00:34:51,880 --> 00:34:55,239
Speaker 1: on the internet later pushing steam, steam pushers on the

509
00:34:55,280 --> 00:35:02,360
Speaker 1: streets trying to get people to buy their steam. The

510
00:35:02,480 --> 00:35:06,600
Speaker 1: least pleasant panhandler or someone in a dark alley opens

511
00:35:06,600 --> 00:35:09,080
Speaker 1: his trench contains just want to buy some steam, and

512
00:35:09,120 --> 00:35:11,080
Speaker 1: it all comes out and floats up. He's like, god,

513
00:35:11,200 --> 00:35:16,920
Speaker 1: damn it not again. Basically a human tea kettle, just

514
00:35:17,719 --> 00:35:24,279
Speaker 1: like you know. Even though Tesla's original patent on this

515
00:35:24,360 --> 00:35:27,799
Speaker 1: valve didn't do him too much good, at least financially,

516
00:35:28,160 --> 00:35:31,040
Speaker 1: he actually filed for bankruptcy just a few months later.

517
00:35:31,520 --> 00:35:35,880
Speaker 1: Many decades later, the Tesla valve was rediscovered and is

518
00:35:35,960 --> 00:35:40,360
Speaker 1: now used in micro fluid ix so really teeny tiny

519
00:35:40,400 --> 00:35:44,759
Speaker 1: microscopic fluid science, and in things like pulse jet engines.

520
00:35:45,239 --> 00:35:50,520
Speaker 1: So it has all of these incredible uses. But Tesla

521
00:35:50,760 --> 00:35:53,959
Speaker 1: was not the first one to invent this valve. That

522
00:35:54,040 --> 00:36:02,560
Speaker 1: patent goes to Evolution, goes to Santa Darwin. Darwin invented evolution,

523
00:36:02,719 --> 00:36:07,880
Speaker 1: and so he must have invented this, uh, this shark intestine.

524
00:36:07,960 --> 00:36:12,880
Speaker 1: That's how it works, right. I really want Darwin to

525
00:36:12,920 --> 00:36:16,960
Speaker 1: be like pitching every animal function that has ever evolved

526
00:36:17,200 --> 00:36:20,440
Speaker 1: to every live investors, like like like he's trying to

527
00:36:20,520 --> 00:36:24,080
Speaker 1: lay an egg personally, it's coming, it's coming. I came

528
00:36:24,160 --> 00:36:26,280
Speaker 1: up with it. It's coming and there and Mark Cuban's

529
00:36:26,360 --> 00:36:31,759
Speaker 1: just waiting, really really uncomfortable introducing finch point. Oh, the

530
00:36:31,880 --> 00:36:36,520
Speaker 1: new finish for the modern gentleman. Yeah, I mean so, yes,

531
00:36:36,640 --> 00:36:41,360
Speaker 1: Darwin did not invent evolution at all. Always existed forever

532
00:36:42,040 --> 00:36:48,000
Speaker 1: and Darwin merely documented its existence. But yes, so evolution

533
00:36:48,200 --> 00:36:52,319
Speaker 1: created the shark, the world's most lovable death machine with

534
00:36:52,440 --> 00:36:57,080
Speaker 1: the most interesting digestive system. So, digestive systems are very

535
00:36:57,120 --> 00:37:01,000
Speaker 1: important for animals to be alive. We need food to

536
00:37:01,120 --> 00:37:03,360
Speaker 1: go in one end and ways to come out the

537
00:37:03,400 --> 00:37:07,120
Speaker 1: other end. And it's not really good to have partially

538
00:37:07,200 --> 00:37:10,800
Speaker 1: digested food coming back up the way it came unless

539
00:37:10,840 --> 00:37:13,520
Speaker 1: you're like a ruminant where you have a bunch of

540
00:37:13,560 --> 00:37:16,000
Speaker 1: stomachs and you're kind of pushing food up and then

541
00:37:16,120 --> 00:37:20,239
Speaker 1: redigesting it and pushing it back down. But for animals,

542
00:37:20,280 --> 00:37:23,400
Speaker 1: like as humans, we kind of just want one flow

543
00:37:23,440 --> 00:37:27,640
Speaker 1: of food where we basically we eat it, chew it up.

544
00:37:28,200 --> 00:37:31,759
Speaker 1: That's the first stage of the digestion with our saliva

545
00:37:31,760 --> 00:37:34,919
Speaker 1: and enzymes, and then we swallow it down and then

546
00:37:35,080 --> 00:37:40,040
Speaker 1: in our digestive system, after we have digested stuff in

547
00:37:40,080 --> 00:37:46,000
Speaker 1: the stomach, it gets pushed with muscle contractions down our intestines. Yeah,

548
00:37:46,400 --> 00:37:50,920
Speaker 1: a great invention by Darwin Lady rolled that out. I

549
00:37:51,040 --> 00:37:58,480
Speaker 1: have an invention to present to you. It's pooping, and

550
00:37:58,520 --> 00:38:00,520
Speaker 1: I didn't read the terms of service. Turns out it

551
00:38:00,560 --> 00:38:04,640
Speaker 1: smells bad and stuff really really hoisted myself there by

552
00:38:04,640 --> 00:38:08,560
Speaker 1: my own petard. Could someone like patent pooping and collect

553
00:38:08,680 --> 00:38:13,439
Speaker 1: royalties every time someone poops? Oh my god, Oh my god,

554
00:38:13,440 --> 00:38:14,880
Speaker 1: I got I got, I gotta go to the patent

555
00:38:14,920 --> 00:38:21,000
Speaker 1: office real quick. I'll be right back. So sharks do

556
00:38:21,280 --> 00:38:24,439
Speaker 1: use some muscle contractions to move food down, but they

557
00:38:24,520 --> 00:38:30,720
Speaker 1: also use gravity and a very cleverly designed digestive system

558
00:38:30,760 --> 00:38:36,560
Speaker 1: and intestines. So they're intestines are eerily similar to the

559
00:38:36,600 --> 00:38:43,000
Speaker 1: tesla valve they have. They are in the spiral shape

560
00:38:43,320 --> 00:38:50,320
Speaker 1: that effectively creates these loops that as the food moves down,

561
00:38:51,280 --> 00:38:54,800
Speaker 1: it can flow slowly in one direction, but it can't

562
00:38:54,840 --> 00:39:00,000
Speaker 1: move back the other way up. Wow, that's really cool.

563
00:39:00,360 --> 00:39:03,000
Speaker 1: If you could shrink down to be the size of

564
00:39:03,040 --> 00:39:06,320
Speaker 1: like a little fish that got eaten by a shark,

565
00:39:06,920 --> 00:39:13,240
Speaker 1: it would be like moving down this spirally uh water slide,

566
00:39:13,960 --> 00:39:17,839
Speaker 1: but full of digestive juices. I think I think that

567
00:39:17,920 --> 00:39:20,279
Speaker 1: happens in Disney's The Sword in the Stone and I

568
00:39:20,320 --> 00:39:23,040
Speaker 1: wish Arthur pop back out of the fish and said,

569
00:39:23,080 --> 00:39:25,480
Speaker 1: like it was full of tesla alms, just like share

570
00:39:25,520 --> 00:39:28,920
Speaker 1: that information. Merlin's like, yes, I'm teaching tesla alms, not

571
00:39:29,239 --> 00:39:31,359
Speaker 1: how to grow up and be king of England. That's right.

572
00:39:31,640 --> 00:39:35,120
Speaker 1: I love that movie, especially apart with the owl trying

573
00:39:35,120 --> 00:39:41,800
Speaker 1: to explain air dynamics aero dynamics to the little little

574
00:39:41,920 --> 00:39:45,560
Speaker 1: Arthur guy, and then Merlin's like, ah, this is school's boring.

575
00:39:45,640 --> 00:39:51,319
Speaker 1: Let's just turn them into a bird. Yeah, because I yeah,

576
00:39:51,320 --> 00:39:54,399
Speaker 1: I rewatched that movie with the pandemic started and there's

577
00:39:54,680 --> 00:39:57,760
Speaker 1: very little king stuff and it's mostly like just making

578
00:39:57,760 --> 00:40:01,080
Speaker 1: a kid turn out of different animals. The movie it's great,

579
00:40:01,280 --> 00:40:03,239
Speaker 1: Like you want to learn about swimming? I turned you

580
00:40:03,280 --> 00:40:06,080
Speaker 1: into a fish? Could you have made me a bigger fish?

581
00:40:06,160 --> 00:40:10,080
Speaker 1: So I don't get you? Nope, exactly right. Yeah, I've

582
00:40:10,160 --> 00:40:12,960
Speaker 1: seen it probably ten times, that movie. That was one

583
00:40:12,960 --> 00:40:15,960
Speaker 1: of my favorite movies growing up, that in hundred and

584
00:40:15,960 --> 00:40:20,439
Speaker 1: one Dalmatians. But anyways, back to shark guts, a much

585
00:40:20,480 --> 00:40:23,759
Speaker 1: more cheerful topic. Uh yeah, So if you were if

586
00:40:23,760 --> 00:40:26,640
Speaker 1: you were shrunk down to a little bit of shark

587
00:40:26,719 --> 00:40:28,840
Speaker 1: chalm and you're you know, you'd just be slipping and

588
00:40:28,840 --> 00:40:31,759
Speaker 1: sliding your way down there. Intestines that are like some

589
00:40:32,120 --> 00:40:36,839
Speaker 1: the shark's version of the Tesla valve may actually even

590
00:40:36,920 --> 00:40:41,839
Speaker 1: be more efficient than Tesla's design and maybe optimized. And

591
00:40:42,120 --> 00:40:47,560
Speaker 1: researchers think that by studying the sharks and testines, we

592
00:40:47,680 --> 00:40:51,040
Speaker 1: might be able to design better valves for things like

593
00:40:51,160 --> 00:40:56,040
Speaker 1: wastewater filtration systems that use gravity rather than a lot

594
00:40:56,080 --> 00:41:01,240
Speaker 1: of power in order to work. Yeah, and sharks ancients,

595
00:41:01,480 --> 00:41:04,239
Speaker 1: like they've they've been around for so so long that

596
00:41:04,320 --> 00:41:08,040
Speaker 1: this is probably one of the oldest animal systems still

597
00:41:08,040 --> 00:41:11,360
Speaker 1: in use. Yeah. Yeah, it's like that one sewer in

598
00:41:11,400 --> 00:41:13,799
Speaker 1: realme that's from the Roman Empire. But it's just just

599
00:41:13,880 --> 00:41:17,560
Speaker 1: keeps on going. Yeah, yeah, it's uh, it's a I

600
00:41:17,560 --> 00:41:19,759
Speaker 1: mean maybe this is part of the reason why they're

601
00:41:19,800 --> 00:41:23,279
Speaker 1: so old, because there are plenty of other animals that

602
00:41:23,360 --> 00:41:28,120
Speaker 1: were alive during the time, but they haven't survived this long. Sharks, meanwhile,

603
00:41:28,320 --> 00:41:32,600
Speaker 1: have a great design through and through has been tested

604
00:41:32,600 --> 00:41:36,080
Speaker 1: throughout uh you know, millions of years. Yeah, it's like

605
00:41:36,120 --> 00:41:47,319
Speaker 1: an oreo, don't mess with it. It works. What why,

606
00:41:47,480 --> 00:41:50,080
Speaker 1: It's a pretty normal thing to say. I think sharks

607
00:41:50,080 --> 00:41:52,960
Speaker 1: are arios everyone's saying this. It's all over the streets. U.

608
00:41:57,000 --> 00:42:07,880
Speaker 1: I'm not going to question it. It's great. So, Alex,

609
00:42:08,120 --> 00:42:12,520
Speaker 1: what do you think is the world's most deadly dangerous animal?

610
00:42:13,280 --> 00:42:19,560
Speaker 1: When I'm up, Yeah, Garry comes the stink lines with

611
00:42:19,640 --> 00:42:24,440
Speaker 1: this visible stink lines like a cloud and little little

612
00:42:24,480 --> 00:42:28,479
Speaker 1: black dots buzzing around that are signifying their flies there.

613
00:42:29,040 --> 00:42:34,480
Speaker 1: So yeah, yeah, well it is not Alex Schmidt, although

614
00:42:34,600 --> 00:42:39,680
Speaker 1: probably close seconds, but it is the teeny and tiny mosquito.

615
00:42:40,440 --> 00:42:47,000
Speaker 1: So mosquito, Yeah, they cause the most uh animal related

616
00:42:47,080 --> 00:42:51,239
Speaker 1: deaths per year. They kill over a million people due

617
00:42:51,360 --> 00:42:56,360
Speaker 1: to disease. Malaria alone killed over six thousand people in

618
00:42:57,520 --> 00:43:01,960
Speaker 1: and people who live in areas with poor health, infrastructure

619
00:43:02,360 --> 00:43:06,440
Speaker 1: and more poverished areas are the most vulnerable. And so

620
00:43:06,480 --> 00:43:13,600
Speaker 1: it's understandable that often we UH view mosquitoes as the

621
00:43:13,760 --> 00:43:18,759
Speaker 1: enemy of humanity and that by controlling mosquito populations, by

622
00:43:18,840 --> 00:43:22,239
Speaker 1: killing off mosquitoes, we can save human lives. And you

623
00:43:22,280 --> 00:43:26,720
Speaker 1: know that's very true. But the very thing that makes

624
00:43:26,800 --> 00:43:34,399
Speaker 1: mosquitoes so annoying and dangerous can actually UH save lives potentially.

625
00:43:34,640 --> 00:43:38,800
Speaker 1: So have you ever woken up like the day after

626
00:43:39,680 --> 00:43:42,440
Speaker 1: being out in the evening and maybe wearing shorts or

627
00:43:43,280 --> 00:43:47,480
Speaker 1: coo lots. Yes, yes, I'm trying to be inclusive to

628
00:43:47,520 --> 00:43:52,359
Speaker 1: people who who wears cool Lots. There are dozens of us,

629
00:43:52,560 --> 00:43:54,560
Speaker 1: dozens of No, it's a lot of people. Actually, it's

630
00:43:54,560 --> 00:43:58,880
Speaker 1: not weird. I'm gonna get emails from people like I

631
00:43:58,880 --> 00:44:03,400
Speaker 1: am a proud owner and uh loyal owner of cool Lots.

632
00:44:03,480 --> 00:44:07,000
Speaker 1: I've been wearing cool Lots for over thirty years. Yeah,

633
00:44:07,440 --> 00:44:10,200
Speaker 1: next time you email Katie, do a little cent from

634
00:44:10,200 --> 00:44:12,400
Speaker 1: my cool Laps at the end of the message, right

635
00:44:13,040 --> 00:44:18,360
Speaker 1: like it's an iPhone. Yes, please everybody, everybody sound off,

636
00:44:18,560 --> 00:44:23,720
Speaker 1: sound off and tell me about your cool Lots section.

637
00:44:23,800 --> 00:44:26,440
Speaker 1: If you have anything to say about please leave a

638
00:44:26,560 --> 00:44:31,520
Speaker 1: rating or review of the podcast and then be like, ps,

639
00:44:31,920 --> 00:44:34,960
Speaker 1: I wear cool Lots. That's me. That person is me.

640
00:44:37,760 --> 00:44:42,680
Speaker 1: So but you you, you know, the day after you

641
00:44:42,760 --> 00:44:44,520
Speaker 1: may not notice it the night of, but the day

642
00:44:44,520 --> 00:44:47,560
Speaker 1: after you get all of these itchy bumps, all these

643
00:44:47,600 --> 00:44:51,480
Speaker 1: itchy mosquito bites, and you had no idea that you're

644
00:44:51,480 --> 00:44:53,319
Speaker 1: getting all bitten up. But then you'll wake up and

645
00:44:53,320 --> 00:44:56,359
Speaker 1: you've got like there's like dozens of bites all over,

646
00:44:56,520 --> 00:44:59,920
Speaker 1: Like where did these come from? I don't remember getting bitten.

647
00:45:00,120 --> 00:45:03,080
Speaker 1: We would go to summer camp in western Michigan and

648
00:45:03,360 --> 00:45:05,680
Speaker 1: it's on like the dunes on like Michigan there. It

649
00:45:05,680 --> 00:45:09,360
Speaker 1: turns out their sand dunes there, and it's like people

650
00:45:09,360 --> 00:45:12,960
Speaker 1: would have shirts around town that said, like give blood,

651
00:45:13,000 --> 00:45:16,160
Speaker 1: go to this county because it's so many mosquitoes going

652
00:45:16,239 --> 00:45:18,799
Speaker 1: after people and just drinking them. So you just end

653
00:45:18,880 --> 00:45:20,759
Speaker 1: up with a patch of bites on one spot of

654
00:45:20,840 --> 00:45:23,440
Speaker 1: you that was open and maybe not sprayed. Yeah, and

655
00:45:23,480 --> 00:45:25,600
Speaker 1: you can't see it coming because you can't you don't

656
00:45:25,680 --> 00:45:29,319
Speaker 1: feel them biting you. And they're so tiny sometimes you

657
00:45:29,360 --> 00:45:31,960
Speaker 1: don't see them and you'll only really hear them if

658
00:45:32,000 --> 00:45:34,960
Speaker 1: they get close enough to their to your ear. Yeah,

659
00:45:35,000 --> 00:45:40,040
Speaker 1: they're they're these little stealthy bloodsuckers. First of all, how

660
00:45:40,080 --> 00:45:43,400
Speaker 1: do they even find you. They seem to just emerge

661
00:45:43,560 --> 00:45:46,600
Speaker 1: from wherever and hunt you down and track you down,

662
00:45:46,920 --> 00:45:51,919
Speaker 1: and indeed they do so. Mosquito bites only come from

663
00:45:52,200 --> 00:45:57,800
Speaker 1: female mosquitoes. Male mosquitoes actually feed on nectar, while female

664
00:45:57,880 --> 00:46:01,600
Speaker 1: mosquitoes enjoy the extra pre orotein they get from your blood,

665
00:46:02,000 --> 00:46:04,880
Speaker 1: which they used to nourish their eggs, So they're really

666
00:46:04,880 --> 00:46:11,279
Speaker 1: only biting you because you know they're good mothers. H

667
00:46:11,440 --> 00:46:14,759
Speaker 1: And I'm pro mothers vote. I'm running for office and

668
00:46:15,080 --> 00:46:17,960
Speaker 1: it's very important. But I come off this way. And

669
00:46:18,160 --> 00:46:22,960
Speaker 1: if you have wondered how these mosquitoes find you, she

670
00:46:23,160 --> 00:46:28,160
Speaker 1: is actually sensing the air you breathe. So when you exhale,

671
00:46:28,320 --> 00:46:33,200
Speaker 1: you release a puff of carbon dioxide. And female mosquitoes

672
00:46:33,280 --> 00:46:38,600
Speaker 1: have receptors that detect concentrations of C O two. And

673
00:46:38,640 --> 00:46:42,400
Speaker 1: we'll move towards its source, which is you. Either it

674
00:46:42,480 --> 00:46:46,160
Speaker 1: could also be a bird or a cow, or you

675
00:46:46,719 --> 00:46:51,960
Speaker 1: a juicy human. Mosquitoes can also smell human skin and

676
00:46:52,000 --> 00:46:54,680
Speaker 1: are attracted to it. So I guess if you want

677
00:46:54,680 --> 00:46:56,960
Speaker 1: to avoid mosquito bites but you don't want to use

678
00:46:57,000 --> 00:47:00,319
Speaker 1: bug spray, you can cover up and not breathe, right,

679
00:47:00,840 --> 00:47:03,120
Speaker 1: why don't I should just become one of those cross

680
00:47:03,160 --> 00:47:05,520
Speaker 1: sections from the Discovery books where it's all of a

681
00:47:05,600 --> 00:47:08,759
Speaker 1: humans muscles with no skin on it. Then there's no skin. Yeah,

682
00:47:08,840 --> 00:47:12,640
Speaker 1: there you go. That sounds uh wet, seems easy to do.

683
00:47:13,239 --> 00:47:17,600
Speaker 1: I'll just go it seems like a sticky existence. But

684
00:47:17,680 --> 00:47:20,560
Speaker 1: you know, hey, but see, even if you did that,

685
00:47:20,680 --> 00:47:25,319
Speaker 1: mosquitoes could still smell the carbon dioxide coming out of

686
00:47:25,360 --> 00:47:29,680
Speaker 1: your you know, skin face, so you know, you know

687
00:47:29,680 --> 00:47:31,360
Speaker 1: what I'm ultimately going to have to be as a

688
00:47:31,360 --> 00:47:34,160
Speaker 1: skull with sunglasses on it ultimately, which is the coolest

689
00:47:34,160 --> 00:47:37,200
Speaker 1: thing to be. I think this trajectory was inevitable. Good dudes,

690
00:47:37,400 --> 00:47:47,759
Speaker 1: we'll all have that chance someday. So that solves how

691
00:47:47,880 --> 00:47:51,320
Speaker 1: mosquitoes find you. But how do they bite you without

692
00:47:51,360 --> 00:47:56,400
Speaker 1: you even knowing? They have optimized being able to suck

693
00:47:56,440 --> 00:47:59,640
Speaker 1: your blood in a stealthy way that is almost completely

694
00:47:59,680 --> 00:48:04,359
Speaker 1: pain less. First of all, they can inject you with

695
00:48:04,560 --> 00:48:10,240
Speaker 1: saliva that actually has anticoagulant chemicals in it that will

696
00:48:10,440 --> 00:48:15,400
Speaker 1: make your blood runnier and so it'll flow easier, and uh,

697
00:48:15,440 --> 00:48:18,960
Speaker 1: you know, so you know, just so they can easily

698
00:48:19,120 --> 00:48:23,360
Speaker 1: slurp up a nice yummy protein shake right out of

699
00:48:23,360 --> 00:48:28,239
Speaker 1: your right out of your body. Um. And but to

700
00:48:28,400 --> 00:48:32,000
Speaker 1: make sure you don't feel it, the proboscis, so that

701
00:48:32,120 --> 00:48:36,759
Speaker 1: pointy little needle on their face is specifically designed to

702
00:48:36,880 --> 00:48:42,440
Speaker 1: inflict minimal damage to tissues and nerves. So the proboscis

703
00:48:42,760 --> 00:48:48,000
Speaker 1: is very teeny teeny tiny, just a few micrometers in diameter,

704
00:48:48,440 --> 00:48:52,880
Speaker 1: and it has these very delicate harpoon like barbs on

705
00:48:52,920 --> 00:48:55,880
Speaker 1: the sides that help ease it in. So when you

706
00:48:56,000 --> 00:48:58,800
Speaker 1: look at it through a microscope, it's like, it seems

707
00:48:58,800 --> 00:49:01,480
Speaker 1: like whoa, Like that's seems like it'd be more painful

708
00:49:01,560 --> 00:49:04,480
Speaker 1: because it's like a harpoon, and you know how like

709
00:49:04,520 --> 00:49:09,200
Speaker 1: a harpoon, it's got these barbs that point down words.

710
00:49:09,200 --> 00:49:12,319
Speaker 1: So if you harpoon something, it can go easily go

711
00:49:12,400 --> 00:49:15,280
Speaker 1: in one way, but it gets caught when you're pulling

712
00:49:15,320 --> 00:49:19,160
Speaker 1: it out, So you think, like, hey, that seems like

713
00:49:19,200 --> 00:49:22,120
Speaker 1: that would kind of hurt. But these are so small

714
00:49:22,160 --> 00:49:26,600
Speaker 1: in microscopic what they do is it just helps it

715
00:49:26,680 --> 00:49:32,160
Speaker 1: get traction against the tissue, and this helps it actually

716
00:49:33,000 --> 00:49:38,680
Speaker 1: very slowly work its way into the skin. So the

717
00:49:38,719 --> 00:49:43,520
Speaker 1: mosquito will actually vibrate its proboscis, which allows it to

718
00:49:43,840 --> 00:49:46,960
Speaker 1: very carefully inch its way into the tissue. Or I

719
00:49:47,000 --> 00:49:50,319
Speaker 1: guess inches sort of a misleading word because it's we're

720
00:49:50,320 --> 00:49:54,080
Speaker 1: not talking about units of inches, we're talking about micrometers,

721
00:49:54,120 --> 00:49:57,800
Speaker 1: really really tiny units. And so like a little notch

722
00:49:57,880 --> 00:50:00,960
Speaker 1: by notch in this barbed bo skis, it works its

723
00:50:00,960 --> 00:50:04,840
Speaker 1: way in. And if you look at how this works,

724
00:50:05,160 --> 00:50:09,800
Speaker 1: imagine like a tube, like a normal needle that's hollow

725
00:50:10,320 --> 00:50:12,400
Speaker 1: and that's at the center of it, and flanking it

726
00:50:12,520 --> 00:50:17,520
Speaker 1: are these two sort of harpoon edges, and it actually

727
00:50:17,719 --> 00:50:23,319
Speaker 1: does this alternating sawing movement of these barbed saws that

728
00:50:23,360 --> 00:50:27,319
Speaker 1: are flanking the needle, and that helps it kind of

729
00:50:27,320 --> 00:50:30,280
Speaker 1: like it's like it's kind of stepping its way into

730
00:50:30,680 --> 00:50:36,040
Speaker 1: the tissues, like gently walking towards the blood source. Yeah,

731
00:50:36,080 --> 00:50:38,239
Speaker 1: we should, we should get this technology to those heist

732
00:50:38,280 --> 00:50:40,680
Speaker 1: guys trying to get your vault doors. Seems like it's

733
00:50:40,680 --> 00:50:42,520
Speaker 1: always just a big drill. I don't think that works

734
00:50:42,520 --> 00:50:47,719
Speaker 1: as well. It seems better. Giant mosquito my blood fault. No,

735
00:50:48,200 --> 00:50:53,399
Speaker 1: I'm the bank president now that I'm very upset. So

736
00:50:54,200 --> 00:50:58,839
Speaker 1: this vibrating sort of method of this proboscis, where just

737
00:50:59,160 --> 00:51:03,239
Speaker 1: very slow only works its way into your skin, is

738
00:51:03,360 --> 00:51:09,440
Speaker 1: actually minimizing damage and disruptance to your tissues. And in fact,

739
00:51:09,480 --> 00:51:12,840
Speaker 1: all of the pain and itchiness from a mosquito bite

740
00:51:13,080 --> 00:51:16,480
Speaker 1: that that bomb, that red spot is not from the

741
00:51:17,080 --> 00:51:20,520
Speaker 1: damage it does with its proboscus. It does very little,

742
00:51:20,880 --> 00:51:24,880
Speaker 1: if any damage with its proboscus. It's actually your body's

743
00:51:24,920 --> 00:51:28,840
Speaker 1: immune response to that saliva. Remember what I said, the

744
00:51:28,880 --> 00:51:32,520
Speaker 1: mosquito actually injects some saliva that acts as an anticoagulant.

745
00:51:33,080 --> 00:51:36,479
Speaker 1: You will have an immune response to that saliva because

746
00:51:36,520 --> 00:51:41,279
Speaker 1: your body detects it as an unknown foreign pathogen, and

747
00:51:41,480 --> 00:51:45,160
Speaker 1: you will issue a response. You'll send down histamines to

748
00:51:45,200 --> 00:51:49,600
Speaker 1: the area that caused that itchiness, causes redness and inflammation.

749
00:51:50,200 --> 00:51:53,759
Speaker 1: So all of that annoying itchiness, it's actually coming from

750
00:51:53,760 --> 00:51:57,800
Speaker 1: your own immune response trying to protect your body from

751
00:51:57,800 --> 00:52:01,520
Speaker 1: this foreign substance. This so liva that came from the mosquito.

752
00:52:01,840 --> 00:52:04,400
Speaker 1: I like that the body is like, hey, this happened.

753
00:52:04,400 --> 00:52:08,279
Speaker 1: It's too late. That's the signal you're getting, is like,

754
00:52:09,040 --> 00:52:10,960
Speaker 1: be sure to be itchy a bunch because something you

755
00:52:11,000 --> 00:52:15,319
Speaker 1: can't fix already happened and it's not really a problem

756
00:52:15,360 --> 00:52:19,040
Speaker 1: in this case. That's pretty much true. It does in

757
00:52:19,080 --> 00:52:22,160
Speaker 1: a way, you know that. It's sometimes it seems silly

758
00:52:22,239 --> 00:52:24,960
Speaker 1: when our immune response has that kind of delayed reaction

759
00:52:25,000 --> 00:52:27,160
Speaker 1: of like, wait a minute, we got bit in a

760
00:52:27,160 --> 00:52:31,640
Speaker 1: few hours ago. Better itch uh. It's it is. Actually,

761
00:52:32,440 --> 00:52:35,000
Speaker 1: it's less that it's trying to warn you about the

762
00:52:35,080 --> 00:52:38,360
Speaker 1: mosquito and more that it is telling the body, hey,

763
00:52:38,520 --> 00:52:41,320
Speaker 1: we've got some foreign substance in here. We should probably

764
00:52:41,320 --> 00:52:43,720
Speaker 1: get rid of it. I see, it's for their benefit,

765
00:52:43,960 --> 00:52:47,080
Speaker 1: not for me on this side of consciousness. Okay, I

766
00:52:47,120 --> 00:52:51,120
Speaker 1: mean it's it's for you, but it's it's not for

767
00:52:51,239 --> 00:52:56,320
Speaker 1: your comfort in terms of itchiness. It's for your your body.

768
00:52:56,560 --> 00:52:59,600
Speaker 1: Your body's immune system doesn't really know about you. It

769
00:52:59,760 --> 00:53:04,080
Speaker 1: just does stuff to protect the whole body, which is weird,

770
00:53:04,520 --> 00:53:06,800
Speaker 1: Like your body does all these things and it doesn't

771
00:53:06,800 --> 00:53:10,919
Speaker 1: even know that. We've got this consciousness sitting in here

772
00:53:11,000 --> 00:53:15,799
Speaker 1: experiencing all the weird feelings. Yeah, such a distant relationship. Yeah, don't.

773
00:53:15,800 --> 00:53:19,560
Speaker 1: I don't feel seen. You know. Sometimes I just feel

774
00:53:19,600 --> 00:53:22,319
Speaker 1: like my body isn't really holding space for me, you

775
00:53:22,320 --> 00:53:28,279
Speaker 1: know what I mean. And then my body is like

776
00:53:28,520 --> 00:53:30,719
Speaker 1: I've had a long day. I just want to be here,

777
00:53:31,000 --> 00:53:36,200
Speaker 1: but it's really just not connecting, you know. Come on, yep, yep,

778
00:53:37,239 --> 00:53:43,640
Speaker 1: toxic corpore reality. So there's also a conversation between me

779
00:53:43,840 --> 00:53:46,400
Speaker 1: a sculpt, sunglasses, and then the rest of my body.

780
00:53:46,520 --> 00:53:51,719
Speaker 1: Those are the two sides of it. Well, if you

781
00:53:51,800 --> 00:53:54,759
Speaker 1: were wondering if there were already practical applications of a

782
00:53:54,800 --> 00:54:01,279
Speaker 1: mosquito proboscis, hey, good news in research is tested mosquito

783
00:54:01,360 --> 00:54:07,320
Speaker 1: proboscis inspired or mp I needles that use those harpoon

784
00:54:07,480 --> 00:54:13,520
Speaker 1: those microscopic harpoon notches and incremental insertion techniques that mosquitoes use.

785
00:54:14,120 --> 00:54:18,720
Speaker 1: The researchers found that the mosquito inspired needles caused less

786
00:54:18,840 --> 00:54:25,279
Speaker 1: tissue deformation than typical needles. So this is this is important.

787
00:54:25,440 --> 00:54:28,200
Speaker 1: I mean, there's the aspect of hey, creating a more

788
00:54:28,360 --> 00:54:32,239
Speaker 1: painless needle would be really great for having shots that

789
00:54:32,320 --> 00:54:37,040
Speaker 1: don't hurt and all that, But there's actually a more

790
00:54:37,239 --> 00:54:41,840
Speaker 1: critical use for these needles, and that's for things like biopsies.

791
00:54:42,480 --> 00:54:46,960
Speaker 1: So getting a biopsy sample of a possible cancerous lesion

792
00:54:47,600 --> 00:54:51,560
Speaker 1: is often done with fine needle aspiration. That so that's

793
00:54:51,560 --> 00:54:55,759
Speaker 1: when they entered a very thin needle into the suspicious

794
00:54:55,800 --> 00:55:00,120
Speaker 1: tissue and pull out a sample. But the problem with

795
00:55:00,200 --> 00:55:03,359
Speaker 1: this is if you want a really accurate sample from

796
00:55:03,480 --> 00:55:07,240
Speaker 1: a very specific part of an organ, sometimes the needle

797
00:55:07,320 --> 00:55:10,359
Speaker 1: will actually deform the tissue as it's inserted. I mean

798
00:55:10,400 --> 00:55:15,680
Speaker 1: imagine pushing like a chopstick through some some peas or

799
00:55:15,760 --> 00:55:18,759
Speaker 1: something like as you put and trying to like like

800
00:55:19,040 --> 00:55:24,879
Speaker 1: uh stick like a runs to kitchen starts doing it well,

801
00:55:24,960 --> 00:55:29,000
Speaker 1: trying to like stick a trying to stick in an

802
00:55:29,080 --> 00:55:31,840
Speaker 1: egg on a chopstick. Like if you're eating ramen and

803
00:55:31,880 --> 00:55:34,719
Speaker 1: you've got that nice sort of soft boiled egg in there.

804
00:55:34,719 --> 00:55:36,799
Speaker 1: It's so good, but you're trying to like stick the

805
00:55:36,840 --> 00:55:39,759
Speaker 1: egg on your chopstick, it'll like sometimes like squish out

806
00:55:39,760 --> 00:55:42,640
Speaker 1: of the way. And so imagine that, but on the

807
00:55:42,719 --> 00:55:47,520
Speaker 1: microscopic level, um or a very tiny level with with

808
00:55:47,680 --> 00:55:55,080
Speaker 1: something like your prostate. Imagine your prostate as the delicious

809
00:55:55,120 --> 00:55:57,200
Speaker 1: soft boiled egg and a bowl of ramen that you're

810
00:55:57,200 --> 00:56:02,440
Speaker 1: trying to stab. That's what I tell my doctor every day.

811
00:56:03,920 --> 00:56:06,600
Speaker 1: So so that's the problem. So if you can have

812
00:56:06,640 --> 00:56:10,680
Speaker 1: a needle that is much more accurate and does less

813
00:56:11,120 --> 00:56:14,920
Speaker 1: pushes tissues away less, so you can like just insert

814
00:56:15,000 --> 00:56:18,840
Speaker 1: it into the place you want without it shoving anything

815
00:56:18,880 --> 00:56:23,120
Speaker 1: to the side, without it causing much disturbance to the

816
00:56:23,120 --> 00:56:27,880
Speaker 1: tissues around it, you can get a much more precise biopsy,

817
00:56:28,040 --> 00:56:32,480
Speaker 1: and this could increase the accuracy of early cancer detection

818
00:56:32,840 --> 00:56:38,400
Speaker 1: and help doctors more easily extract biopsy samples. So you know,

819
00:56:38,719 --> 00:56:44,479
Speaker 1: think a mosquito before you smash it. That is that's

820
00:56:44,520 --> 00:56:48,439
Speaker 1: just a really cool, exciting especially because so many people

821
00:56:48,440 --> 00:56:51,120
Speaker 1: are afraid of the needles we've got, you know, like

822
00:56:51,120 --> 00:56:53,719
Speaker 1: whether it's rational or not. If we could just ease that,

823
00:56:54,000 --> 00:56:56,680
Speaker 1: that'd be great. I think we'll have to have a

824
00:56:56,719 --> 00:57:00,760
Speaker 1: better marketing pitch than like, hey, so you know mosquitoes.

825
00:57:00,840 --> 00:57:04,720
Speaker 1: Well we made like a giant proboscis and I say giant,

826
00:57:04,840 --> 00:57:07,440
Speaker 1: but it's not really that big. It's still really tiny.

827
00:57:07,560 --> 00:57:10,399
Speaker 1: It won't hurt, trust me, just like mosquitoes bite don't

828
00:57:10,480 --> 00:57:16,120
Speaker 1: hurt anyways, I'll still relax your muscles. What if the

829
00:57:16,120 --> 00:57:18,400
Speaker 1: pitches we just lie and say the idea came from

830
00:57:18,400 --> 00:57:21,200
Speaker 1: a much cuter animal. Yeah, even if it doesn't make sense, like,

831
00:57:21,200 --> 00:57:24,120
Speaker 1: oh yeah, we got this from pandas. We got from pandas.

832
00:57:24,120 --> 00:57:27,680
Speaker 1: Panda scientists worked real hard on this and they'll be

833
00:57:27,720 --> 00:57:29,800
Speaker 1: real sad if you don't use it. But why does

834
00:57:29,840 --> 00:57:31,880
Speaker 1: it look like a big plastic mosquito. No, that's what

835
00:57:31,920 --> 00:57:34,120
Speaker 1: a panda looks like. You're wrong. You just don't know

836
00:57:34,200 --> 00:57:41,440
Speaker 1: much about pandas. Anyway, Well it's still yeah. I I

837
00:57:41,480 --> 00:57:45,440
Speaker 1: do not have a fear of needles. Uh. I have

838
00:57:45,960 --> 00:57:51,680
Speaker 1: somewhat of a vasovagal reaction, sometimes too getting blood drawn,

839
00:57:51,880 --> 00:57:55,320
Speaker 1: but never when someone's injecting something into me. Because I

840
00:57:55,360 --> 00:57:58,280
Speaker 1: think there's something, there's something going on where it's like

841
00:57:58,440 --> 00:58:00,960
Speaker 1: when someone's doing an inject and of something, it's like

842
00:58:01,040 --> 00:58:03,720
Speaker 1: great new stuff for my body to enjoy. But when

843
00:58:03,720 --> 00:58:06,680
Speaker 1: I'm getting like blood drawn, it's like, hey, I need that,

844
00:58:06,840 --> 00:58:08,880
Speaker 1: and then I feel faint because it's like, hey, stop

845
00:58:09,040 --> 00:58:11,640
Speaker 1: stop taking my blood out. I need it. I need

846
00:58:11,640 --> 00:58:19,160
Speaker 1: that to live. And then the nurses like this. I mean,

847
00:58:19,360 --> 00:58:22,320
Speaker 1: I'm a human. This is for human purposes. That's why

848
00:58:22,360 --> 00:58:26,600
Speaker 1: I'm taking it. Delicious, this will feed my babies. What's that? Uh,

849
00:58:26,960 --> 00:58:30,720
Speaker 1: don't be a baby, and you can have this shot.

850
00:58:30,840 --> 00:58:37,200
Speaker 1: Now we're not three mosquitoes in a long coat and

851
00:58:37,240 --> 00:58:39,200
Speaker 1: you're like, I don't know, that's still really small. Yeah,

852
00:58:40,040 --> 00:58:41,880
Speaker 1: I don't even think three of you guys can hold

853
00:58:41,920 --> 00:58:43,919
Speaker 1: up a coat and you just pull back the coat

854
00:58:43,920 --> 00:58:49,000
Speaker 1: and it's thousands of mosquitoes. But you know, if you're

855
00:58:49,000 --> 00:58:52,000
Speaker 1: out there and you do, like feel faint with needles, like,

856
00:58:52,080 --> 00:58:55,480
Speaker 1: don't don't feel bad because the vase of vagel response,

857
00:58:55,560 --> 00:58:59,400
Speaker 1: that like fainting response or squeamishness response can be really

858
00:58:59,400 --> 00:59:01,920
Speaker 1: hard to come role. And it really it doesn't have

859
00:59:01,960 --> 00:59:04,880
Speaker 1: anything to do with you being brave or anything like

860
00:59:04,960 --> 00:59:07,960
Speaker 1: that it's just just kind of a bodily response, but

861
00:59:08,040 --> 00:59:12,720
Speaker 1: you can train yourself to have less of that response there,

862
00:59:13,240 --> 00:59:15,280
Speaker 1: you know, definitely if you have if you have a

863
00:59:15,320 --> 00:59:18,360
Speaker 1: severe phobia of needles, it's one of the most treatable

864
00:59:18,360 --> 00:59:21,840
Speaker 1: phobias out there. You can go to Yeah, if you

865
00:59:21,880 --> 00:59:27,240
Speaker 1: go uh to a therapist getting getting over those needle

866
00:59:27,240 --> 00:59:31,240
Speaker 1: phobias has a very high success rate. So I would

867
00:59:31,280 --> 00:59:34,160
Speaker 1: highly recommend that if you're if you're nervous about shots,

868
00:59:34,240 --> 00:59:37,680
Speaker 1: because you know it's, uh, it's important to get shots

869
00:59:37,680 --> 00:59:40,440
Speaker 1: for your health. Obviously we know that now too with

870
00:59:40,600 --> 00:59:43,960
Speaker 1: the with the COVID vaccine, very very important. But if

871
00:59:43,960 --> 00:59:46,480
Speaker 1: you're you're kind of scared to get the shot, definitely

872
00:59:46,600 --> 00:59:50,120
Speaker 1: talked to uh, talk to a doctor about about the

873
00:59:50,120 --> 00:59:53,400
Speaker 1: phobia because it is it is treatable, and a lot

874
00:59:53,400 --> 00:59:57,120
Speaker 1: of shots too, depending on like the amount of fluid

875
00:59:57,160 --> 00:59:59,480
Speaker 1: that they need to object With the COVID vaccine, a

876
00:59:59,520 --> 01:00:01,960
Speaker 1: lot of people don't even feel it because it's not

877
01:00:02,040 --> 01:00:04,920
Speaker 1: that much fluid that they have to inject. It's a

878
01:00:04,960 --> 01:00:07,560
Speaker 1: really thin needle. So if you can kind of relax

879
01:00:07,640 --> 01:00:09,400
Speaker 1: your arm a little bit look the other way, you

880
01:00:09,440 --> 01:00:12,080
Speaker 1: won't even feel it. I do I remember my first shot.

881
01:00:12,320 --> 01:00:15,240
Speaker 1: It felt like such a small shot. I was like,

882
01:00:15,320 --> 01:00:18,120
Speaker 1: did you do it? Yeah, that's that's a like if

883
01:00:18,160 --> 01:00:19,720
Speaker 1: you have this needle here, you know, hang in there

884
01:00:19,800 --> 01:00:21,600
Speaker 1: and and like Katie said, you can treat it. It's

885
01:00:21,600 --> 01:00:23,760
Speaker 1: a real thing. But what the first shot. I was like,

886
01:00:23,920 --> 01:00:26,160
Speaker 1: did you push it in yet? Oh? Yeah, we did

887
01:00:26,160 --> 01:00:29,040
Speaker 1: it already. It's okay, cool. Yeah. Yeah. It was the

888
01:00:29,080 --> 01:00:31,440
Speaker 1: same thing for me where it's like, you know, I

889
01:00:32,720 --> 01:00:35,640
Speaker 1: was kind of concerned because I didn't feel it. I

890
01:00:35,720 --> 01:00:38,320
Speaker 1: was like, I hope they actually did it right and

891
01:00:38,400 --> 01:00:40,800
Speaker 1: it actually went in because I want that vaccine. And

892
01:00:40,800 --> 01:00:42,920
Speaker 1: then then I got the sore arm and the and

893
01:00:43,000 --> 01:00:45,440
Speaker 1: sort of the you know a little bit of sometimes

894
01:00:45,440 --> 01:00:48,200
Speaker 1: I was like, okay, okay, this is a legit, legit vaccine.

895
01:00:48,240 --> 01:00:50,400
Speaker 1: But it was so painless. I was like, I hope

896
01:00:50,440 --> 01:00:54,400
Speaker 1: they actually gave me the stuff right. They didn't do

897
01:00:54,560 --> 01:00:56,720
Speaker 1: It'll be like a heist movie where they show the

898
01:00:56,800 --> 01:00:59,080
Speaker 1: moment again and they like slipped it in their pocket

899
01:00:59,160 --> 01:01:01,280
Speaker 1: or so, you know, there's a slow motion of what

900
01:01:01,280 --> 01:01:04,160
Speaker 1: they really did and they're like, no, to go on

901
01:01:04,240 --> 01:01:07,960
Speaker 1: the black market for vaccines. Yeah, yeah, that's how they

902
01:01:08,000 --> 01:01:11,480
Speaker 1: got my zero dollars for the free vaccine. Now I

903
01:01:11,520 --> 01:01:15,000
Speaker 1: know I have to tell you this story. First of all,

904
01:01:15,040 --> 01:01:17,880
Speaker 1: I highly encourage everyone, if you haven't already get your

905
01:01:17,920 --> 01:01:20,840
Speaker 1: booster shot. I don't. I didn't even really have that

906
01:01:20,880 --> 01:01:24,120
Speaker 1: many many side effects from or not side effects, but

907
01:01:24,120 --> 01:01:26,440
Speaker 1: I didn't have like this sort of immune reaction. It

908
01:01:26,440 --> 01:01:29,479
Speaker 1: didn't feel very sick after. It'll vary, but like it's

909
01:01:29,560 --> 01:01:33,160
Speaker 1: it's so so much better than getting getting a real,

910
01:01:33,360 --> 01:01:37,320
Speaker 1: real bad, bad case of macron. So yeah, I get

911
01:01:37,320 --> 01:01:41,040
Speaker 1: that booster shot. Uh. Here in Italy, there was some

912
01:01:41,120 --> 01:01:44,080
Speaker 1: guy who didn't want to get the shot. But here

913
01:01:44,160 --> 01:01:46,600
Speaker 1: you need a green pass to be able to like

914
01:01:46,640 --> 01:01:50,000
Speaker 1: go to restaurants and and do a lot of things. So,

915
01:01:50,080 --> 01:01:54,200
Speaker 1: like he went to get the shot, and the nurse

916
01:01:54,280 --> 01:01:57,560
Speaker 1: noticed his arm was kind of weird and it was

917
01:01:57,600 --> 01:02:00,880
Speaker 1: a prosthetic arm that he like put over his real

918
01:02:01,120 --> 01:02:03,240
Speaker 1: arm so that when she gave him the shot, it

919
01:02:03,240 --> 01:02:06,760
Speaker 1: would just go into silicon instead of his actual flesh.

920
01:02:07,640 --> 01:02:11,520
Speaker 1: And of course she noticed, and he was, you know,

921
01:02:11,960 --> 01:02:16,760
Speaker 1: gone in trouble for it. Are you telling me a

922
01:02:16,800 --> 01:02:20,680
Speaker 1: medical professional can detect mannequin parts? They learned that they

923
01:02:20,760 --> 01:02:23,400
Speaker 1: could actually tell there's actually a quote by her where

924
01:02:23,400 --> 01:02:26,160
Speaker 1: She's like, I honestly feel insulted as a nurse that

925
01:02:26,320 --> 01:02:31,200
Speaker 1: someone would think you could get away with this. My

926
01:02:32,720 --> 01:02:36,439
Speaker 1: my Grandma Schmidt, I really like to donate blood, and

927
01:02:36,560 --> 01:02:39,360
Speaker 1: she would with pride tell us that every nurse would

928
01:02:39,400 --> 01:02:42,440
Speaker 1: be excited about how big her veins were. They'd be like,

929
01:02:42,480 --> 01:02:45,120
Speaker 1: you got some veins on you. You are trying veins,

930
01:02:45,200 --> 01:02:49,200
Speaker 1: like they really noticed arm details. To think that a

931
01:02:49,360 --> 01:02:52,720
Speaker 1: prop arm would fool a nurse is incredible. I feel

932
01:02:52,760 --> 01:02:56,200
Speaker 1: like there's only two kinds of people who would admire

933
01:02:56,320 --> 01:02:59,440
Speaker 1: your veins and compliment you on your veins, A nurse

934
01:03:00,040 --> 01:03:04,640
Speaker 1: a vampire. Note how they're saying it. If it's like, oh,

935
01:03:04,680 --> 01:03:07,200
Speaker 1: you have really nice big veins, or if they're like

936
01:03:07,320 --> 01:03:13,480
Speaker 1: I like this, how big your veins are? Yeah, you

937
01:03:13,600 --> 01:03:17,280
Speaker 1: have such juicy veins. There it is, there's there's the Dracula.

938
01:03:17,560 --> 01:03:21,360
Speaker 1: It took me a little bit to get into it. Man,

939
01:03:21,520 --> 01:03:24,880
Speaker 1: folks in like the Balkans and the Carpathian Mountains, they've

940
01:03:24,880 --> 01:03:29,120
Speaker 1: gotta be so mad about that accent Dracula. It's got

941
01:03:30,200 --> 01:03:34,360
Speaker 1: I am an actual nurse. I want to see your

942
01:03:34,440 --> 01:03:39,240
Speaker 1: veins for for taking your blood test, not going to

943
01:03:39,320 --> 01:03:46,760
Speaker 1: drink it. I want to measure your cholesterol. I keep

944
01:03:46,800 --> 01:03:50,440
Speaker 1: work at work, and then you know, off the clock,

945
01:03:50,920 --> 01:03:56,680
Speaker 1: off the clock vampires. YEA. Well, before we go and

946
01:03:56,720 --> 01:04:03,720
Speaker 1: get sued by everyone from Transylvania. UM, we have got

947
01:04:03,760 --> 01:04:07,000
Speaker 1: to answer an important question. That question was posed last

948
01:04:07,040 --> 01:04:10,240
Speaker 1: week and it was Who's squawking? We are playing the

949
01:04:10,280 --> 01:04:17,280
Speaker 1: gifts who squawking mystery animal sound game? So uh it uh.

950
01:04:17,640 --> 01:04:21,960
Speaker 1: Last week's hint was this guy has a face that

951
01:04:22,000 --> 01:04:25,160
Speaker 1: looks a bit like a US president Chester a Arthur,

952
01:04:25,520 --> 01:04:30,320
Speaker 1: but otherwise there's nothing American about him. And here's that sound,

953
01:04:30,440 --> 01:04:42,680
Speaker 1: and guess who's squawking? So Alex, you've got any guesses?

954
01:04:43,440 --> 01:04:46,200
Speaker 1: I thank you for a Chester a Arthur hint. That

955
01:04:46,400 --> 01:04:53,160
Speaker 1: really really narrows it down. I that's like Lady Hunters,

956
01:04:53,240 --> 01:04:55,800
Speaker 1: U s history. That's my my batch of history that

957
01:04:55,920 --> 01:05:01,120
Speaker 1: I think about the most. Uh. I I'm really thinking

958
01:05:01,280 --> 01:05:04,200
Speaker 1: some kind of little Simian or monkey, like like some

959
01:05:04,280 --> 01:05:08,440
Speaker 1: kind of Capuchin or Tamarin or something, because it is

960
01:05:08,480 --> 01:05:10,760
Speaker 1: like a it's a really chirpy sound, but I feel

961
01:05:10,800 --> 01:05:13,200
Speaker 1: like those little guys will do it. That is a

962
01:05:13,280 --> 01:05:17,120
Speaker 1: great guess, and you are in fact extremely close. So

963
01:05:17,280 --> 01:05:20,400
Speaker 1: first I want to congratulate the listeners who wrote in

964
01:05:20,440 --> 01:05:25,280
Speaker 1: with their guesses. We've got some really really good, really

965
01:05:25,360 --> 01:05:30,520
Speaker 1: close guesses. I had people guessing gibbon, ad someone gissing

966
01:05:30,760 --> 01:05:34,960
Speaker 1: the white cheek gibbon, which is really really close. And

967
01:05:36,200 --> 01:05:39,360
Speaker 1: I want to congratulate Tim M who guessed a gibbon,

968
01:05:39,880 --> 01:05:44,360
Speaker 1: Michael D who guessed even more specifically, a white cheeked gibbon,

969
01:05:44,840 --> 01:05:50,360
Speaker 1: and Maggie M who guessed a buff cheeked gibbon. You're all,

970
01:05:50,520 --> 01:05:52,680
Speaker 1: I'm gonna just give it to you. That is so

971
01:05:53,000 --> 01:05:58,320
Speaker 1: close basically correct. It is a yellow cheeked gibbon, which

972
01:05:58,480 --> 01:06:01,240
Speaker 1: I think, actually, yes, the yellow cheek gibbon is the

973
01:06:01,320 --> 01:06:06,360
Speaker 1: same thing as the buff cheeked gibbons. So amazing job

974
01:06:06,440 --> 01:06:09,200
Speaker 1: you guys. I honestly don't know how you guys do it,

975
01:06:09,400 --> 01:06:11,800
Speaker 1: because I don't think I would have been able to

976
01:06:11,840 --> 01:06:14,320
Speaker 1: do that. It's easy on my end. I like, look

977
01:06:14,400 --> 01:06:17,040
Speaker 1: up the sound of the animal that I want to showcase.

978
01:06:17,080 --> 01:06:19,800
Speaker 1: I'm like, yeah, that's a gibbon. But it would be

979
01:06:19,880 --> 01:06:22,439
Speaker 1: very hard for me to play my own game, I think.

980
01:06:23,440 --> 01:06:27,040
Speaker 1: But what's amazing is, uh, Katie, what you do? You

981
01:06:27,080 --> 01:06:29,720
Speaker 1: select an animal, then you take a very large wooden

982
01:06:29,760 --> 01:06:32,520
Speaker 1: mallet again from cartoons, and then you hit yourself on

983
01:06:32,560 --> 01:06:34,960
Speaker 1: the head and then you play, and then you hear

984
01:06:35,000 --> 01:06:39,520
Speaker 1: the little tweetie birds. Yes exactly, it's just guess little

985
01:06:39,560 --> 01:06:43,600
Speaker 1: tweety birds every time. That's all you hear. But Michael

986
01:06:43,720 --> 01:06:48,960
Speaker 1: d wrote in Uh that he hears them at the

987
01:06:49,040 --> 01:06:54,040
Speaker 1: San Antonio Zoo and Maggie m here's them at the

988
01:06:54,120 --> 01:06:59,680
Speaker 1: Cincinnati Zoo. So uh, but out you were. You were

989
01:06:59,760 --> 01:07:03,120
Speaker 1: so close. I feel like you deserve credit for being

990
01:07:03,240 --> 01:07:06,920
Speaker 1: very very close. Yes, indeed it is a little monkey.

991
01:07:07,440 --> 01:07:11,040
Speaker 1: So the yellow cheeked crested gibbon is its full name,

992
01:07:11,200 --> 01:07:16,000
Speaker 1: also the buff cheek gibbon. Uh. They live in Vietnam, Louse,

993
01:07:16,120 --> 01:07:21,160
Speaker 1: and Cambodia. So they start out as this really pretty

994
01:07:21,160 --> 01:07:24,480
Speaker 1: blonde as babies, and then as adults they are fur

995
01:07:24,640 --> 01:07:28,680
Speaker 1: turned this inky black, and males keep a streak of

996
01:07:28,800 --> 01:07:32,600
Speaker 1: blonde near their cheeks, which gives them this wonderful chester

997
01:07:32,760 --> 01:07:38,880
Speaker 1: a Arthur Mutton CHOP's facial hair look. And females actually

998
01:07:39,760 --> 01:07:42,919
Speaker 1: throughoutle they start out as blonde and then they get

999
01:07:42,920 --> 01:07:46,880
Speaker 1: this dark fur uh during adolescence, but then once they

1000
01:07:46,880 --> 01:07:51,320
Speaker 1: reach sexual maturity they turn blonde again. Other than like

1001
01:07:51,400 --> 01:07:54,280
Speaker 1: this black cap that remains on the top of their heads,

1002
01:07:54,920 --> 01:07:59,320
Speaker 1: and the babies are always born blonde and that matches

1003
01:07:59,440 --> 01:08:05,160
Speaker 1: the mother's fur. The babies blend in with the mother's fur. Yeah,

1004
01:08:05,440 --> 01:08:08,680
Speaker 1: and so that they are kind of camouflaged against the mother.

1005
01:08:09,560 --> 01:08:13,160
Speaker 1: And this this process of the color changing is really

1006
01:08:13,160 --> 01:08:17,559
Speaker 1: interesting because you would wonder, well, why don't female if

1007
01:08:17,600 --> 01:08:22,599
Speaker 1: female gibbons end up being blonde as adults, why would

1008
01:08:22,640 --> 01:08:25,720
Speaker 1: they start out as they start out as blond, then

1009
01:08:25,760 --> 01:08:29,479
Speaker 1: they get black fur, and then they become blonde again. Well,

1010
01:08:30,040 --> 01:08:32,280
Speaker 1: it's an interesting question. There are a couple of things

1011
01:08:32,320 --> 01:08:35,759
Speaker 1: that could be going on. One is that by being

1012
01:08:35,880 --> 01:08:39,720
Speaker 1: blonde when they're fully grown adults and having that coloration,

1013
01:08:40,120 --> 01:08:43,320
Speaker 1: it's a signal to the male gibbons that she is

1014
01:08:43,320 --> 01:08:47,000
Speaker 1: a sexually mature female. Another thing that could be going

1015
01:08:47,160 --> 01:08:51,679
Speaker 1: on is that when the adolescent females get this black fur,

1016
01:08:51,920 --> 01:08:55,000
Speaker 1: it makes them blend in with the adolescent males. And

1017
01:08:55,080 --> 01:08:59,000
Speaker 1: there's this theory and evolutionary biology that sometimes it is

1018
01:08:59,080 --> 01:09:04,439
Speaker 1: beneficial for an animal species when the young uh will

1019
01:09:04,479 --> 01:09:08,920
Speaker 1: look similar, like they're less sexually dimorphic, meaning that both

1020
01:09:08,960 --> 01:09:12,400
Speaker 1: of the sexes look really similar, so that adult males

1021
01:09:12,840 --> 01:09:16,919
Speaker 1: won't go through and try to kill young unrelated males

1022
01:09:17,520 --> 01:09:22,759
Speaker 1: to reduce competition before they grow up. So essentially, when

1023
01:09:22,840 --> 01:09:25,479
Speaker 1: all the young look alike, the males can't tell the

1024
01:09:25,520 --> 01:09:28,080
Speaker 1: difference between the females and the males, so it makes

1025
01:09:28,080 --> 01:09:31,560
Speaker 1: it less likely that, say, there would be a strategy

1026
01:09:31,560 --> 01:09:34,599
Speaker 1: that an older male would have where they go through

1027
01:09:34,640 --> 01:09:38,439
Speaker 1: and try to kill all the male babies so that

1028
01:09:38,479 --> 01:09:42,040
Speaker 1: when they grow up they're not competition. That was much

1029
01:09:42,080 --> 01:09:47,240
Speaker 1: more harrowing than I expected. And that's fine. Yeah, it's

1030
01:09:47,240 --> 01:09:53,639
Speaker 1: a little bit because I have a distinct zoom memory

1031
01:09:53,680 --> 01:09:55,800
Speaker 1: of I don't think it's the species, but it was

1032
01:09:56,720 --> 01:09:59,840
Speaker 1: a monkey species where I saw they had it was

1033
01:09:59,840 --> 01:10:03,000
Speaker 1: a baby just hanging onto the mom's for very tightly,

1034
01:10:03,200 --> 01:10:05,479
Speaker 1: and it was like climbing all over the branches and

1035
01:10:05,520 --> 01:10:07,800
Speaker 1: trees that were available, and the baby was just on

1036
01:10:07,840 --> 01:10:10,679
Speaker 1: it like a little patch. Yeah, so so I jumped.

1037
01:10:10,680 --> 01:10:12,960
Speaker 1: I was. I just had that grooving in my hat,

1038
01:10:13,000 --> 01:10:16,240
Speaker 1: and it was like and then the father's devoured the young,

1039
01:10:16,400 --> 01:10:19,120
Speaker 1: and like, oh no, oh jeez. Then I got real

1040
01:10:19,200 --> 01:10:24,200
Speaker 1: biblical on you. Yeah, I mean, I want to emphasize

1041
01:10:24,200 --> 01:10:26,519
Speaker 1: this is just this is kind of just my theory

1042
01:10:26,800 --> 01:10:30,280
Speaker 1: about why this hair color might change. UM, And it's

1043
01:10:30,280 --> 01:10:32,960
Speaker 1: sort of a general theory and evolutionary biology. I'm not

1044
01:10:33,000 --> 01:10:36,919
Speaker 1: sure there's anything specifically about these gibbons, like any studies

1045
01:10:36,960 --> 01:10:41,360
Speaker 1: that have found that out about whether this is true

1046
01:10:41,439 --> 01:10:45,600
Speaker 1: for them, that that is, the coloration morphs changed to

1047
01:10:45,800 --> 01:10:49,120
Speaker 1: protect young from that kind of strategy. Um, it just

1048
01:10:49,200 --> 01:10:53,040
Speaker 1: could be because like you know, the it could be

1049
01:10:53,120 --> 01:10:58,880
Speaker 1: something where maybe in sort of earlier evolutionary iterations where

1050
01:10:58,880 --> 01:11:01,280
Speaker 1: the offspring are easy easier to tell apart than you

1051
01:11:01,280 --> 01:11:03,800
Speaker 1: would have more of a risk of this kind of strategy.

1052
01:11:03,920 --> 01:11:10,479
Speaker 1: But currently, actually gibbons live pretty harmoniously. They live in

1053
01:11:10,800 --> 01:11:15,519
Speaker 1: these small family groups and are monogamous. So you'll often

1054
01:11:15,600 --> 01:11:19,120
Speaker 1: see a blonde haired gibbon which is a female cuddling

1055
01:11:19,120 --> 01:11:21,439
Speaker 1: with a black haired gibbon which is male with like

1056
01:11:21,479 --> 01:11:24,040
Speaker 1: a baby, and it's adorable and they like to spoon

1057
01:11:24,120 --> 01:11:27,200
Speaker 1: each other and it's so cute. It's really nice. Yeah,

1058
01:11:27,400 --> 01:11:30,400
Speaker 1: good for them, Good for them. And so that call

1059
01:11:30,560 --> 01:11:33,639
Speaker 1: you just heard as an adult male, yellow cheeked, crested

1060
01:11:33,720 --> 01:11:37,840
Speaker 1: gibbon who is potentially seeking a mate or calling out

1061
01:11:38,000 --> 01:11:41,760
Speaker 1: for it's made, or maybe even communicating with neighbors. They

1062
01:11:41,760 --> 01:11:44,960
Speaker 1: have all sorts of calls, and sometimes they're using it

1063
01:11:45,000 --> 01:11:48,600
Speaker 1: to kind of define their resources or their territory, or

1064
01:11:48,640 --> 01:11:51,439
Speaker 1: sometimes it's just to communicate with others, like saying like hey,

1065
01:11:51,439 --> 01:11:55,599
Speaker 1: I'm here, I'm single, and I'm ready to mingle. Now

1066
01:11:55,720 --> 01:12:00,240
Speaker 1: onto this week's mystery animal sound, and the hint for

1067
01:12:00,400 --> 01:12:04,120
Speaker 1: this week is don't be alarmed by this animal's name.

1068
01:12:04,640 --> 01:12:09,439
Speaker 1: It's called is purely Platonic, warning you about an approaching leopard.

1069
01:12:17,320 --> 01:12:20,360
Speaker 1: So you hear that kind of raspy squeaking noise, like

1070
01:12:20,400 --> 01:12:22,960
Speaker 1: a squeaker that kind of has lost its squeak a

1071
01:12:22,960 --> 01:12:25,240
Speaker 1: little bit, yeah, like yeah, like a worn out squeaker

1072
01:12:25,240 --> 01:12:28,760
Speaker 1: to Yeah, So who do you think is squawking? Then?

1073
01:12:28,920 --> 01:12:31,360
Speaker 1: Is don't be alarmed by this animal's name. It's called

1074
01:12:31,479 --> 01:12:35,760
Speaker 1: is purely Platonic. Oh, I'm really at sea on this one,

1075
01:12:36,280 --> 01:12:38,200
Speaker 1: And I don't mean I'm thinking of sea creatures like

1076
01:12:38,200 --> 01:12:44,200
Speaker 1: a lot of different land animals. That's the edibles. Weird.

1077
01:12:45,000 --> 01:12:48,439
Speaker 1: I guess I'm imagining a little bird, but that's probably

1078
01:12:48,479 --> 01:12:53,080
Speaker 1: not correct at all. Well, the answer will be revealed

1079
01:12:53,280 --> 01:12:59,080
Speaker 1: next week, so tune in next Wednesday. Alex, thank you

1080
01:12:59,160 --> 01:13:01,280
Speaker 1: so much for drying us today. Where can the people

1081
01:13:01,320 --> 01:13:04,880
Speaker 1: find you. It's it's great every time, and uh and yeah,

1082
01:13:04,880 --> 01:13:07,439
Speaker 1: I hope people check out Secretly incredibly fascinating. If you

1083
01:13:07,479 --> 01:13:10,080
Speaker 1: look up sift pod dot fund or just search the

1084
01:13:10,160 --> 01:13:12,599
Speaker 1: name Secretly in your podcast and will find it. Each

1085
01:13:12,600 --> 01:13:14,840
Speaker 1: episode's about one thing people think is ordinary, and then

1086
01:13:14,880 --> 01:13:17,280
Speaker 1: we get into why it's amazing with history and science

1087
01:13:17,320 --> 01:13:19,760
Speaker 1: and stories and Katie's put an amazing gust on it.

1088
01:13:19,840 --> 01:13:22,160
Speaker 1: Many times. I've been on there and it's great. I

1089
01:13:22,200 --> 01:13:26,000
Speaker 1: can personally vouch for it because we've talked about beaver butts,

1090
01:13:26,080 --> 01:13:29,960
Speaker 1: We've talked about corn. It's amazing. Oh that Corn show

1091
01:13:30,120 --> 01:13:33,760
Speaker 1: so good that kicked off twenty two. It's killer here

1092
01:13:34,040 --> 01:13:39,760
Speaker 1: Corn Year. So you can find you can find me

1093
01:13:40,280 --> 01:13:44,400
Speaker 1: on the internet at Creature Feature Pod on Instagram, a

1094
01:13:44,479 --> 01:13:48,800
Speaker 1: Creature feet Pod on Twitter. That's Evy not et. It's

1095
01:13:48,840 --> 01:13:52,360
Speaker 1: something very different. And if you think you know the

1096
01:13:52,400 --> 01:13:56,160
Speaker 1: answer to this week's mystery animal sound game, email me

1097
01:13:56,439 --> 01:14:00,519
Speaker 1: at Creature Feature Pod at gmail dot com or send

1098
01:14:00,560 --> 01:14:06,599
Speaker 1: me your I guess opinions about cool lots. Yeah, that's

1099
01:14:07,520 --> 01:14:11,840
Speaker 1: thank you, sen send send cool lot opinions yea or nay.

1100
01:14:12,240 --> 01:14:15,280
Speaker 1: And thank you so much to the Space Classics for

1101
01:14:15,360 --> 01:14:18,479
Speaker 1: their super awesome song ex Alumina. Creature feature is a

1102
01:14:18,479 --> 01:14:21,439
Speaker 1: production of I heart Radio. For more podcasts like the

1103
01:14:21,479 --> 01:14:23,920
Speaker 1: one you just heard, visit the I heart Radio app,

1104
01:14:23,960 --> 01:14:27,080
Speaker 1: Apple Podcasts, or Hey guess what. Wherever you listen to

1105
01:14:27,120 --> 01:14:30,759
Speaker 1: your favorite shows, I don't judge you. See you next Wednesday.