WEBVTT - How We’re Learning to Talk to Animals

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<v Speaker 1>Welcome to Stuff you should Know, a production of iHeartRadio.

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<v Speaker 2>Hey, and welcome to the podcast. I'm Josh, and there's Chuck.

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<v Speaker 2>And I was gonna say Jerry's here, but she totally

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<v Speaker 2>flaked on us.

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<v Speaker 3>And this is stuff you should know. Yeah, I've never

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<v Speaker 3>wanted to be able to make a dolphin sound.

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<v Speaker 1>More in my life.

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<v Speaker 3>I mean, that was medium better than I could do.

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<v Speaker 4>Well, let's hear yours. I put I've heard better out there.

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<v Speaker 3>No, I mean I can't. I don't even want to try. Okay,

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<v Speaker 3>how about this bet my nose. I'm a dolphin.

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<v Speaker 4>That was good.

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<v Speaker 2>A dolphin that speaks English is pretty impressive, Chuck.

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<v Speaker 4>I like that interpretation.

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<v Speaker 2>Yeah, Usa, so USA and Canada. So we're talking today.

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<v Speaker 2>The reason we're trying to speak dolphin, Chuck, is because

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<v Speaker 2>we're talking about anim communication. And just to clear things

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<v Speaker 2>up right out of the gate, we're not talking about

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<v Speaker 2>animal communication where we try to teach animals to speak

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<v Speaker 2>human languages, whether it be sign language, English, whatever. Yeah,

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<v Speaker 2>we already did that in our Live Coco the Gorilla episode.

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<v Speaker 3>Yeah.

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<v Speaker 2>Now we're going the other way here because there's a

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<v Speaker 2>whole other tranche. As the French would say, of research

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<v Speaker 2>that is going into listening to, decoding, understanding and potentially

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<v Speaker 2>speaking animal animal languages.

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<v Speaker 3>Yeah, and this is one. It's like one of the

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<v Speaker 3>rare cases whereas we'll see for a lot of year,

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<v Speaker 3>science was like, animals don't do this, Like they grunt

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<v Speaker 3>at each other, they make little instinctual noises, but they're

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<v Speaker 3>not really communicating with each other or us. Don't kid yourself.

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<v Speaker 3>And this is a rare case where I'm like, I

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<v Speaker 3>don't care what science says. My pets speak to me

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<v Speaker 3>and I understand what they're saying.

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<v Speaker 2>Yeah, no, this researching this, I was haunted by the

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<v Speaker 2>ghost of Tracy Wilson. Do you remember like how hard

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<v Speaker 2>core she was about not anthropomorphizing years back?

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<v Speaker 4>Yeah, sorry, Will, Yeah, sorry Tracy.

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<v Speaker 3>I do it.

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<v Speaker 2>And Tracy's a cat person, I know for it, she

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<v Speaker 2>refuses to speak to her cat. No, I'm sure that's

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<v Speaker 2>not true, but yeah, I mean that's a that's a

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<v Speaker 2>fair point, and I think we've made that point many

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<v Speaker 2>times whenever we've talked about pets like communicating or I

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<v Speaker 2>think anytime we talk about pets, we kind of both

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<v Speaker 2>agree that no, there's they're obviously communicating in ways we're

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<v Speaker 2>just not fully aware of. And it's actually pretty anthropercentric

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<v Speaker 2>to just assume that because we don't understand it, they're

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<v Speaker 2>not doing it. Luckily, Like I said, there's a whole

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<v Speaker 2>tranche of search that is assuming no, these these animals

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<v Speaker 2>have communication patterns that yeah, kind of follow the same

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<v Speaker 2>general idea of human language. Yeah, and as such we

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<v Speaker 2>have a chance of being able to understand it. But

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<v Speaker 2>the whole, the whole thing is based on this idea.

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<v Speaker 2>Like you said, science has long thought like that there

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<v Speaker 2>was not that any any sounds they make were instinctual,

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<v Speaker 2>that there wasn't any purpose behind them. It was just

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<v Speaker 2>that it was an involuntary response to something that evolution

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<v Speaker 2>had kind of bred into that animal. And that was

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<v Speaker 2>also predicated on this idea that Renee Descartes put out there,

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<v Speaker 2>which is animals have like no inner lives whatsoever, only

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<v Speaker 2>humans do.

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<v Speaker 4>Boo.

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<v Speaker 2>Yeah, I'm very disappointed with Descartes, and I know we've

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<v Speaker 2>talked about this before, probably multiple times, but it bears

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<v Speaker 2>repeating because he set that tone for centuries to follow.

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<v Speaker 3>Yeah, oh for sure. But I mean you needn't only

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<v Speaker 3>look at your dog and to a certain degree, your

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<v Speaker 3>cat but you know the first couple of animals we're

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<v Speaker 3>going to talk about that Olivia helped us with this

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<v Speaker 3>that she was keen to point out humans have been

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<v Speaker 3>around for a while and you know, communicate with if

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<v Speaker 3>you are the owner, slash, you know, mother, father, caretaker

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<v Speaker 3>of these animals. We're talking about dogs and horses, and

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<v Speaker 3>if you have ever had a dog, you know what

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<v Speaker 3>at least this one thing is. And that's called puppy

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<v Speaker 3>dog eyes. And this is a trade. It's actually a

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<v Speaker 3>muscle called the loam, the lam, the levator anguli oculi

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<v Speaker 3>media alis cristo. It's a muscle in the eyebrow basically

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<v Speaker 3>of a dog that evolved from a wolf. Like They've

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<v Speaker 3>done studies and found that wolves don't still have this

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<v Speaker 3>or wolves don't have this right and that the only

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<v Speaker 3>dog out of like the eight breeds they studied that

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<v Speaker 3>didn't evolve this way was the Siberian husky, which is

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<v Speaker 3>I guess closely related to a wolf.

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<v Speaker 2>It's a wolf posing as a dog.

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<v Speaker 3>And I don't know if you've ever known huskies. I'm

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<v Speaker 3>not knocking any breed. I like huskies just fine. I've

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<v Speaker 3>known a few, but and I've never been able to

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<v Speaker 3>have a good connection with them. Yeah, and that may

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<v Speaker 3>be part of the reason is that there haven't evolved

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<v Speaker 3>as far away as as you know we have with

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<v Speaker 3>our other domesticated friends.

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<v Speaker 4>That's a great point.

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<v Speaker 3>But they have done studies. There was one published in

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<v Speaker 3>the proceeding of the National Academy of Sciences who studied

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<v Speaker 3>dogs out for adoption at like a you know, what

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<v Speaker 3>do you call it? Well, I can't even think.

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<v Speaker 4>Of the word an adoption dry.

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<v Speaker 3>Sure, it wouldn't a dry, but just in the in

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<v Speaker 3>the pound.

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<v Speaker 4>Okay, what do you call those? Though? An animal shelter?

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<v Speaker 3>Animal shelter. You know how the easiest word won't come

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<v Speaker 3>to you sometimes.

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<v Speaker 4>Yeah, I do. I've been there, buddy, it's very frustrating.

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<v Speaker 3>Anyway, sheltered dogs. And they found they studied all these dogs,

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<v Speaker 3>like hundreds and hundreds of them over long periods of time,

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<v Speaker 3>and the found that the dogs to use these lone

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<v Speaker 3>muscles to make their eyes bigger and raise that inner

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<v Speaker 3>brow were adopted quicker.

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<v Speaker 4>Yeah.

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<v Speaker 2>I think it has to do with exaggerating the shape

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<v Speaker 2>of the eyes, which, as we've talked about the Kinder schema.

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<v Speaker 2>I believe in the science of cute Yeah, that would

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<v Speaker 2>just make them automatically cuter.

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<v Speaker 3>Yeah, bigger eyes. I mean, that's why those Disney characters

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<v Speaker 3>have big eyes.

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<v Speaker 2>But the exactly, but the point of this is that dogs.

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<v Speaker 2>We have clear evidence that dogs evolved a way to

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<v Speaker 2>be expressive through their facial expressions in ways that affect humans.

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<v Speaker 2>And that's a form of communication, exactly. That's just one

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<v Speaker 2>form of communication. So it isn't anthe promorphizing to say that,

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<v Speaker 2>you know, dogs have emotions and that they express these

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<v Speaker 2>emotions like things like being happy to see their their friend,

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<v Speaker 2>their human friend. There's a guy named ecologist Carl Sephina,

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<v Speaker 2>and he points out that his whole thing is like

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<v Speaker 2>dogs love us. Clearly, it's clear as day. Anybody who

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<v Speaker 2>owns a dog knows this, and anybody who says otherwise

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<v Speaker 2>is just being a real stick in the mud, basically.

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<v Speaker 2>But he pointed out that really the the whole thing

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<v Speaker 2>broke open. Finally, Descartes Smelly Corpse was finally cast off

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<v Speaker 2>of the animal behavior field in the sixties, I believe

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<v Speaker 2>when observational studies of animals really started in earnest thanks

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<v Speaker 2>to people like Jane Goodall and I can't remember who

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<v Speaker 2>her Lewis leaky that those people were coming back with report.

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<v Speaker 2>It's like, guys, these are these animals clearly interact with

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<v Speaker 2>one another in ways that humans would consider empathy. They're communicating,

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<v Speaker 2>they're doing all sorts of stuff we supposedly think they

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<v Speaker 2>can't and then today it's being demonstrated. All of these

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<v Speaker 2>these observations are being proven because we've fashioned MRI machines

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<v Speaker 2>that dogs can go in, and we don't like, sedate

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<v Speaker 2>the dog and put them in there. It's not going

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<v Speaker 2>to have any effect. They've made these open machines and

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<v Speaker 2>then they kind of introduce them to the dogs, and

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<v Speaker 2>the dogs free to come or go in the MRI,

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<v Speaker 2>and if the dog says there long enough, they can

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<v Speaker 2>study the dog's brain activity and what they're seeing is Nope,

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<v Speaker 2>these these dogs are smart. They definitely have an inner life,

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<v Speaker 2>and most of what we're taking as emotional communication is

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<v Speaker 2>probably totally correct.

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<v Speaker 3>Yeah, and if they sit there long enough, they're good

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<v Speaker 3>boys and good girls.

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<v Speaker 4>That's right, and they get treats, that's right.

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<v Speaker 3>We also have horses. If you want to look at

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<v Speaker 3>another animal that humans have probably had the longest relationship with,

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<v Speaker 3>and there's a horse trainer slash neuroscientist, which is a

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<v Speaker 3>very handy thing if you're going to talk about animal communication.

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<v Speaker 3>Her name is Janet Jones, not the former gymnasts who

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<v Speaker 3>was married to Wayne Gretzky. Remember, Oh, I knew.

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<v Speaker 2>That name sounded familiar, but I didn't know why.

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<v Speaker 3>I say former gymnast, former actress. She was a gymnast too, though, right.

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<v Speaker 2>I haven't paid that much attention to Wayne Gretzky's marital.

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<v Speaker 3>Life anyway, different Janet Jones, and she said that horses

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<v Speaker 3>and humans are are different because humans evolved into predators,

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<v Speaker 3>horses evolved from prey species, So like we have different

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<v Speaker 3>ways of looking at the world when you're riding a

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<v Speaker 3>horse around outside, and we communicate that to one another,

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<v Speaker 3>you know. Also throwing the fact that horses have a

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<v Speaker 3>three hundred and forty degree range of vision with those awesome,

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<v Speaker 3>humongous eyes on the sides of their heads.

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<v Speaker 2>Yeah, that last degrees really ticks horses.

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<v Speaker 3>It really does. But if you're like, if you're riding

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<v Speaker 3>along and a horse, a horse might be scared about.

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<v Speaker 3>And Olivia uses a great illustration of like an umbrella opening.

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<v Speaker 3>It might spook a horse, but the human's like, Hey,

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<v Speaker 3>that's just an umbrella. So they're gonna, you know, sitting

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<v Speaker 3>atop the horse. They're going to relax the horse by

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<v Speaker 3>you know, I'm not a horse rider certainly know how

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<v Speaker 3>you do this, but by moving your body and flexing

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<v Speaker 3>your muscles in a certain way with the rhythm of

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<v Speaker 3>the horse to let them know that it's cool.

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<v Speaker 4>Right.

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<v Speaker 2>So, what Janet Jones is basically saying is she wrote

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<v Speaker 2>this really cool article called Becoming a Centaur and aon

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<v Speaker 2>is that through this communication that horses and humans have

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<v Speaker 2>have co evolved together to understand with one another and

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<v Speaker 2>to be able to train one another with you're becoming

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<v Speaker 2>like kind of a super organism for that time where

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<v Speaker 2>you are a top of horse, yeah, and the horses

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<v Speaker 2>below you and you guys are working conjuncture together, sharing

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<v Speaker 2>sensory information.

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<v Speaker 3>I love that. I want to ride more horses in

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<v Speaker 3>my life.

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<v Speaker 2>There's a that's a great, great thing to try to do, Chuck, I've.

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<v Speaker 3>Only done it a couple of times that I loved it.

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<v Speaker 2>I haven't for a really long time. I used to

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<v Speaker 2>as a kid a lot more. I have it on

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<v Speaker 2>the prairie.

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<v Speaker 3>Yeah, when you were when you were westward bound.

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<v Speaker 2>Yeah, in the wagon train.

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<v Speaker 3>Birds, we're gonna talk a lot about birds, because obviously

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<v Speaker 3>bird vocalizations are you can just listen to birds and

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<v Speaker 3>and tell that they are specific and that that probably

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<v Speaker 3>means something. But humans and birds interact in different ways

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<v Speaker 3>around the world. Specifically, a couple of tribes, the Jahua

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<v Speaker 3>people in Mozambique and the Hods of Tanzania both use

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<v Speaker 3>what are called honeyguides, and they are birds that they

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<v Speaker 3>can call. They each you know, use different calls in

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<v Speaker 3>their inner respective places to call over these birds, and

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<v Speaker 3>the birds come a flying in and say, hey, follow

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<v Speaker 3>me and we'll show you the honey, and they go

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<v Speaker 3>and get the honey. And if you're asking, like, well,

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<v Speaker 3>why in the world would they do this, it's because

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<v Speaker 3>the birds get the wax after they're finished, so it's

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<v Speaker 3>a mutually beneficial relationship.

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<v Speaker 2>Yeah, And they've actually tested to make sure it's not

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<v Speaker 2>just the presence of humans making sounds that catch the

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<v Speaker 2>birds attention and then the birds associate humans with getting honey.

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<v Speaker 2>They've tested other like control sounds, but there are specific

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<v Speaker 2>calls that Jahwua people use. It's like a bird something

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<v Speaker 2>like that, and that is what the honey guides respond to.

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<v Speaker 2>They don't respond to hey, honeyguide or anything like that.

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<v Speaker 2>They respond to this call that the Jahua people have

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<v Speaker 2>been using for countless generations, and that the Jahwa have

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<v Speaker 2>been passing down from generation to generation. That also means

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<v Speaker 2>that the honey guides wild birds, not tamed in any way.

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<v Speaker 2>They're not coerced to do this. They're wild animals who

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<v Speaker 2>clearly communicate with humans. They're passing down that that burr

0:13:05.880 --> 0:13:09.160
<v Speaker 2>hum sound that a Jahua person makes in the woods

0:13:09.160 --> 0:13:11.760
<v Speaker 2>means go find that person and take them to some honey,

0:13:11.760 --> 0:13:14.400
<v Speaker 2>and they'll they'll leave. The honey comes for you. Like

0:13:14.960 --> 0:13:19.200
<v Speaker 2>people and birds passing down this common information that forms

0:13:19.200 --> 0:13:20.719
<v Speaker 2>the symbiotic relationship.

0:13:21.120 --> 0:13:22.200
<v Speaker 4>That's nuts.

0:13:22.800 --> 0:13:25.600
<v Speaker 3>Yeah, And I imagine if they said, hey, honey guides,

0:13:25.760 --> 0:13:28.680
<v Speaker 3>come over here, the birds would say, why else speak

0:13:28.679 --> 0:13:30.199
<v Speaker 3>in English?

0:13:30.400 --> 0:13:30.640
<v Speaker 1>Right?

0:13:30.760 --> 0:13:31.520
<v Speaker 3>That's really weird.

0:13:31.840 --> 0:13:33.640
<v Speaker 2>Yeah, it happened to burr hume.

0:13:34.280 --> 0:13:36.440
<v Speaker 3>They're also, of course, and we're not going to get,

0:13:36.480 --> 0:13:38.880
<v Speaker 3>you know, too much into this, but you know, for hunters,

0:13:38.920 --> 0:13:41.880
<v Speaker 3>all kinds of mating calls and and I guess you

0:13:41.920 --> 0:13:43.400
<v Speaker 3>don't have to hunt to use a maiding call if

0:13:43.440 --> 0:13:45.120
<v Speaker 3>you want to. If you want to call a mooseover

0:13:45.280 --> 0:13:47.960
<v Speaker 3>just to say hello, you could use a moose mating call,

0:13:48.000 --> 0:13:50.720
<v Speaker 3>but all kinds of and it's not just mating calls,

0:13:50.720 --> 0:13:53.560
<v Speaker 3>but usually it's some kind of mating call for any

0:13:53.640 --> 0:13:55.800
<v Speaker 3>kind of game that you're hunting, or ducks or stuff

0:13:55.840 --> 0:13:56.120
<v Speaker 3>like that.

0:13:56.880 --> 0:13:58.520
<v Speaker 4>Yeah, I crossed that part.

0:13:58.320 --> 0:14:02.480
<v Speaker 3>Out those people communicating with animals at the very least.

0:14:03.160 --> 0:14:05.520
<v Speaker 2>So you mentioned birds and how we're going to talk

0:14:05.520 --> 0:14:10.360
<v Speaker 2>about birds a lot. But birds are just an obvious

0:14:10.360 --> 0:14:13.160
<v Speaker 2>place to start, and that's where humans kind of started

0:14:13.200 --> 0:14:17.640
<v Speaker 2>in tracking animal communication, whether they realized it was animal

0:14:17.640 --> 0:14:20.600
<v Speaker 2>communication or not. Bird song has always kind of captured

0:14:20.600 --> 0:14:25.600
<v Speaker 2>the human imagination and apparently back in the day they

0:14:25.960 --> 0:14:31.520
<v Speaker 2>started to try to assign musical notation to recording bird

0:14:31.560 --> 0:14:35.480
<v Speaker 2>song by hand on paper. Good luck, right, And then

0:14:35.800 --> 0:14:39.120
<v Speaker 2>as you know, the technology progressed and we got better

0:14:39.160 --> 0:14:42.840
<v Speaker 2>at recording and reproducing sound. One of the things that

0:14:42.880 --> 0:14:46.080
<v Speaker 2>we really started compiling a lot of we're bird song.

0:14:46.920 --> 0:14:50.120
<v Speaker 2>Bird songs is bird song plural and singular?

0:14:50.560 --> 0:14:52.240
<v Speaker 3>I feel like the kind of word that would be

0:14:52.480 --> 0:14:53.040
<v Speaker 3>I think, so.

0:14:53.600 --> 0:14:54.520
<v Speaker 4>Bird's song guy.

0:14:56.440 --> 0:15:00.480
<v Speaker 2>And there's actually a really great collection at Cornell. There

0:15:00.520 --> 0:15:04.720
<v Speaker 2>are Ornithology Lab has what's called the McAuley Library. And

0:15:05.240 --> 0:15:09.000
<v Speaker 2>I've got this app called Merlin. It's a bird identification app.

0:15:09.040 --> 0:15:09.800
<v Speaker 2>It's free.

0:15:10.040 --> 0:15:10.320
<v Speaker 4>I think.

0:15:10.360 --> 0:15:12.880
<v Speaker 2>You just have to sign up with your email and

0:15:13.720 --> 0:15:16.000
<v Speaker 2>if you hear a bird call, you just open Merlin

0:15:16.120 --> 0:15:17.640
<v Speaker 2>and it's like Shazam for birds.

0:15:18.360 --> 0:15:18.680
<v Speaker 4>Amazing.

0:15:19.120 --> 0:15:22.560
<v Speaker 2>It is amazing and like it just sits there and

0:15:22.560 --> 0:15:24.360
<v Speaker 2>listens and then it goes, oh is it this burden.

0:15:24.400 --> 0:15:25.920
<v Speaker 2>It shows you a picture and tells you what that

0:15:25.960 --> 0:15:28.360
<v Speaker 2>bird is, and you say, that's exactly what bird that is.

0:15:28.440 --> 0:15:30.920
<v Speaker 2>Thanks Merlin. Merlin gives you a wink and goes back

0:15:30.960 --> 0:15:31.720
<v Speaker 2>to sleep.

0:15:31.440 --> 0:15:32.080
<v Speaker 4>In your phone.

0:15:32.280 --> 0:15:35.720
<v Speaker 3>Yeah, it's It's a very popular app and very popular

0:15:35.720 --> 0:15:38.760
<v Speaker 3>in my family. We use it all the time. A

0:15:38.760 --> 0:15:41.480
<v Speaker 3>lot of We have a lot of identification apps that

0:15:41.520 --> 0:15:45.800
<v Speaker 3>are really handy. We have like bird apps and plant

0:15:45.880 --> 0:15:48.480
<v Speaker 3>of course and flower apps, and we has those. And

0:15:48.480 --> 0:15:52.200
<v Speaker 3>then I have an art app where you can point

0:15:52.200 --> 0:15:55.480
<v Speaker 3>it at a painting or something and it'll it'll tell

0:15:55.520 --> 0:15:57.280
<v Speaker 3>you if it's in the database. Of course, it'll tell

0:15:57.280 --> 0:15:57.720
<v Speaker 3>you who it is.

0:15:57.880 --> 0:15:58.520
<v Speaker 4>Cubist.

0:16:00.040 --> 0:16:03.360
<v Speaker 3>Now it'll tell you the actual artist I got, you know,

0:16:03.520 --> 0:16:04.280
<v Speaker 3>Max Cubist.

0:16:05.240 --> 0:16:07.560
<v Speaker 2>So let me just set this up real quick, Chuck

0:16:07.600 --> 0:16:11.560
<v Speaker 2>and I say we take a break. But although people

0:16:11.880 --> 0:16:15.720
<v Speaker 2>were like, okay, animals have somewhat richer inner lives than

0:16:15.760 --> 0:16:18.840
<v Speaker 2>we had always suspected, but they're still not using anything

0:16:18.920 --> 0:16:23.480
<v Speaker 2>like what we would consider language. That carried on until

0:16:23.520 --> 0:16:26.560
<v Speaker 2>the seventies until a couple of studies came through chick

0:16:26.640 --> 0:16:28.840
<v Speaker 2>the legs out from under that what a.

0:16:28.840 --> 0:16:53.960
<v Speaker 1>Great cliffy, So I said, cliffy.

0:16:54.080 --> 0:16:57.960
<v Speaker 3>People know that means cliffhanger. I hope longtime listeners to

0:16:58.280 --> 0:17:01.280
<v Speaker 3>longtime listeners. So, yeah, you were talking about until the seventies,

0:17:01.640 --> 0:17:03.440
<v Speaker 3>and that's what I mentioned that science had always kind

0:17:03.440 --> 0:17:05.280
<v Speaker 3>of poo pooed it, and it was in the seventies

0:17:05.720 --> 0:17:08.360
<v Speaker 3>where people finally started you know, there were some sort

0:17:08.400 --> 0:17:11.199
<v Speaker 3>of rogue hippie scientists here and there that was like

0:17:11.359 --> 0:17:14.840
<v Speaker 3>nobody was listening to basically. But in the seventies is

0:17:14.840 --> 0:17:16.840
<v Speaker 3>when a couple of big studies came out that you

0:17:16.920 --> 0:17:20.480
<v Speaker 3>mentioned pre break. One was in nineteen seventy seven a

0:17:20.560 --> 0:17:24.480
<v Speaker 3>couple of primate scientists named Robert C. Farth say Farth

0:17:25.040 --> 0:17:28.480
<v Speaker 3>and Dorothy Cheney, and they were working with one of

0:17:28.520 --> 0:17:32.840
<v Speaker 3>those hippies, Peter Marler, who was an animal communication expert.

0:17:32.840 --> 0:17:35.680
<v Speaker 3>When that wasn't cool. And they were studying vervet monkeys

0:17:35.720 --> 0:17:39.800
<v Speaker 3>and Kenya, and this is a pretty big breakthrough and

0:17:39.840 --> 0:17:44.080
<v Speaker 3>pretty remarkable. They found that they they are using different

0:17:45.520 --> 0:17:47.159
<v Speaker 3>we're going to say things like words for lack of

0:17:47.200 --> 0:17:51.640
<v Speaker 3>a better term, sounds, vocalizations, but they used different words

0:17:52.359 --> 0:17:56.720
<v Speaker 3>for different threats. So like they noticed that like something

0:17:56.760 --> 0:17:59.159
<v Speaker 3>flying like an eagle versus something on the ground like

0:17:59.200 --> 0:18:02.600
<v Speaker 3>a snake like a python, they would use those to

0:18:02.640 --> 0:18:05.360
<v Speaker 3>indicate one or the other. And they learned this by

0:18:05.400 --> 0:18:08.400
<v Speaker 3>making recordings of it. And when they played it, sure enough,

0:18:08.640 --> 0:18:11.560
<v Speaker 3>the monkey would look up into the sky or search

0:18:11.640 --> 0:18:13.159
<v Speaker 3>the ground around them for the snake.

0:18:13.600 --> 0:18:15.640
<v Speaker 2>Yeah, depending on what call they played.

0:18:15.320 --> 0:18:18.760
<v Speaker 3>Back, that's right, not depending on what Brian Adams song

0:18:18.800 --> 0:18:19.240
<v Speaker 3>they played.

0:18:20.200 --> 0:18:26.520
<v Speaker 2>So okay, smarty, So you can still make a case that, okay,

0:18:26.680 --> 0:18:30.439
<v Speaker 2>so what they have these specific words for snake or

0:18:30.480 --> 0:18:33.760
<v Speaker 2>for eagle, But it doesn't mean that it's anything more

0:18:33.800 --> 0:18:37.480
<v Speaker 2>than instinct for a monkey to utter this particular cry

0:18:37.520 --> 0:18:40.359
<v Speaker 2>when it sees a snake, and other monkeys to respond

0:18:40.800 --> 0:18:43.639
<v Speaker 2>in kind, And it's all innate and none of it

0:18:43.720 --> 0:18:48.720
<v Speaker 2>means that they're using grammar or language. It's okay, fine, fine,

0:18:49.040 --> 0:18:51.320
<v Speaker 2>just keep waiting a few more years, and we're going

0:18:51.400 --> 0:18:57.000
<v Speaker 2>to go forward to Klaus Zuberbueler, great name, who is Swiss,

0:18:56.760 --> 0:19:01.119
<v Speaker 2>as people who name their family's Zuber are wont to be.

0:19:02.119 --> 0:19:08.119
<v Speaker 2>He studied the Campbell's monkeys in the Cote Duvoir, I

0:19:08.200 --> 0:19:13.919
<v Speaker 2>believe the tomato Campbell's monkeys, and he found nothing.

0:19:14.960 --> 0:19:16.400
<v Speaker 3>Not Campbell's tomato soup.

0:19:16.920 --> 0:19:22.360
<v Speaker 2>Yeah, and he found that they actually use suffixes. Right,

0:19:22.680 --> 0:19:26.200
<v Speaker 2>So if they use the alarm called crock or crack

0:19:26.320 --> 0:19:28.879
<v Speaker 2>k r a K, that's how they spelled it, not

0:19:29.280 --> 0:19:33.080
<v Speaker 2>the Campbell's monkeys, but Zuberbueler and his friends, Yeah, that

0:19:33.160 --> 0:19:37.719
<v Speaker 2>means leopard is coming, but crack ou means it's just

0:19:37.760 --> 0:19:40.479
<v Speaker 2>a general alarm like lookout or heads up or something

0:19:40.560 --> 0:19:44.639
<v Speaker 2>like this. They can also like supplement crack or crack

0:19:44.680 --> 0:19:49.000
<v Speaker 2>oo with booms that they will make. It can mean

0:19:49.080 --> 0:19:52.159
<v Speaker 2>like come this way. They can mean that there's a

0:19:52.200 --> 0:19:55.239
<v Speaker 2>falling tree branch, depending on if they amend it with

0:19:55.359 --> 0:20:00.480
<v Speaker 2>the suffix Ooh. So Zuberbueler is saying, like, guys, this

0:20:00.680 --> 0:20:05.320
<v Speaker 2>is grammar. Those are words. This cannot possibly just be instinctual.

0:20:05.640 --> 0:20:08.720
<v Speaker 2>And even if it is instinctual, then that would suggest

0:20:09.040 --> 0:20:12.600
<v Speaker 2>that animals, at least some types of monkeys have a

0:20:12.680 --> 0:20:16.480
<v Speaker 2>language instinct too. Who that's a whole other ball of wax,

0:20:16.560 --> 0:20:20.320
<v Speaker 2>like we talked about before. But Zuberbueler's like, dude, come on,

0:20:20.440 --> 0:20:22.960
<v Speaker 2>and people started to finally be like, all right, fine,

0:20:23.119 --> 0:20:25.679
<v Speaker 2>we'll kind of get on board with this idea that

0:20:25.720 --> 0:20:28.520
<v Speaker 2>the animals are using something like language possibly.

0:20:28.920 --> 0:20:31.879
<v Speaker 3>Yeah, And he even, you know, as an example of

0:20:31.920 --> 0:20:35.159
<v Speaker 3>how it's something that humans can potentially understand once they

0:20:35.240 --> 0:20:38.680
<v Speaker 3>learn it, he was warned off by a leopard by

0:20:38.720 --> 0:20:41.960
<v Speaker 3>hearing the leopard call apparently, and this was in a

0:20:42.040 --> 0:20:45.080
<v Speaker 3>radio lab at one point shout out to Radio Lab,

0:20:45.400 --> 0:20:49.200
<v Speaker 3>Yeah some of the ogs like us. But yeah, zuber

0:20:49.240 --> 0:20:52.320
<v Speaker 3>Bueler was like, hey, you know, I heard them sound

0:20:52.320 --> 0:20:55.679
<v Speaker 3>the leopard alarm, and that meant that I needed to to,

0:20:55.840 --> 0:20:56.760
<v Speaker 3>you know, be watchful.

0:20:57.400 --> 0:21:00.240
<v Speaker 2>Yeah they weren't. I didn't understand. I didn't go listen

0:21:00.280 --> 0:21:02.000
<v Speaker 2>to that episode of Radio Lab, So I'm not sure

0:21:02.040 --> 0:21:04.639
<v Speaker 2>if they were warning him or he was just paying

0:21:04.640 --> 0:21:05.760
<v Speaker 2>attention that they were.

0:21:06.200 --> 0:21:09.280
<v Speaker 3>I think it's that okay, So I think, but who knows,

0:21:09.280 --> 0:21:11.360
<v Speaker 3>Maybe they're like Zuberbueler.

0:21:11.200 --> 0:21:15.119
<v Speaker 2>He spoke, he spoke Campbell's monkey for that moment and

0:21:15.160 --> 0:21:18.320
<v Speaker 2>it helped them out. Yeah, sure so, and it wasn't

0:21:18.400 --> 0:21:23.240
<v Speaker 2>just a zuberbueler who did. Apparently other animals, including birds

0:21:23.240 --> 0:21:26.399
<v Speaker 2>and other monkeys that live around Campbell's monkeys have learned

0:21:26.440 --> 0:21:30.840
<v Speaker 2>what crock or crack means too and will respond in kind.

0:21:31.480 --> 0:21:37.040
<v Speaker 2>So there's evidence that there's interspecial communication, and not necessarily

0:21:37.040 --> 0:21:39.320
<v Speaker 2>that monkey talking to that bird, but that bird just

0:21:39.440 --> 0:21:43.600
<v Speaker 2>from being around these monkeys using language, picking up certain

0:21:43.640 --> 0:21:46.480
<v Speaker 2>words and speaking monkey ease, even though the bird actually

0:21:46.520 --> 0:21:48.119
<v Speaker 2>speaks parodies or something.

0:21:49.000 --> 0:21:51.560
<v Speaker 3>Yeah. I mean, it's not any different, I think than

0:21:51.960 --> 0:21:54.680
<v Speaker 3>you know. I have cats and dogs, and they each

0:21:54.720 --> 0:21:59.639
<v Speaker 3>have their own respective feeding times and programs and systems

0:21:59.680 --> 0:22:04.040
<v Speaker 3>and treat systems, and sometimes one will get a little

0:22:04.080 --> 0:22:06.680
<v Speaker 3>of the other. Like, for instance, my dog Charlie will

0:22:06.720 --> 0:22:10.159
<v Speaker 3>lick the wet cat food spoon after I give them

0:22:10.200 --> 0:22:15.439
<v Speaker 3>their wet cat food. So now Charlie knows when I say, uh,

0:22:15.640 --> 0:22:17.320
<v Speaker 3>do you want your good stuff, which is what I

0:22:17.359 --> 0:22:19.720
<v Speaker 3>say to the cats, and they come running in there

0:22:19.760 --> 0:22:22.679
<v Speaker 3>for the wet food, Charlie knows, Hey, that's when I

0:22:22.680 --> 0:22:26.600
<v Speaker 3>get to lick that spoon. So I'm speaking English and

0:22:26.680 --> 0:22:30.440
<v Speaker 3>each of these animals is understanding what I'm saying, even

0:22:30.440 --> 0:22:34.520
<v Speaker 3>though for Charlie I'm speaking cat, although that's really not true.

0:22:34.520 --> 0:22:35.119
<v Speaker 3>You know what I'm saying.

0:22:35.480 --> 0:22:37.040
<v Speaker 4>No, I know what you mean. You know what I mean.

0:22:37.240 --> 0:22:39.400
<v Speaker 2>It holds up and it applies. It's also you can

0:22:39.440 --> 0:22:42.639
<v Speaker 2>make the case very much like an English speaking person

0:22:42.720 --> 0:22:45.920
<v Speaker 2>in America who's got a bodega down the street. M

0:22:46.080 --> 0:22:50.600
<v Speaker 2>h understands what ka pasa means or aii or something

0:22:50.720 --> 0:22:51.040
<v Speaker 2>like that.

0:22:51.119 --> 0:22:52.720
<v Speaker 4>Right. Yeah, it's think this.

0:22:53.000 --> 0:22:56.040
<v Speaker 2>Living in proximity of people who speak other languages, you

0:22:56.080 --> 0:22:59.200
<v Speaker 2>pick up other languages. And that seems to very much

0:22:59.720 --> 0:23:02.639
<v Speaker 2>be analogous to what we're talking about with the birds

0:23:02.640 --> 0:23:04.080
<v Speaker 2>living around the Campbell's monkeys.

0:23:04.280 --> 0:23:04.480
<v Speaker 4>Yeah.

0:23:04.520 --> 0:23:07.320
<v Speaker 3>I guess the true comparison would be if my cats

0:23:07.359 --> 0:23:11.560
<v Speaker 3>made a distinctive meal when they wanted, and who knows,

0:23:11.600 --> 0:23:13.520
<v Speaker 3>they might when they want that good stuff, and that

0:23:13.640 --> 0:23:14.760
<v Speaker 3>that signal. Charlie.

0:23:15.040 --> 0:23:16.960
<v Speaker 2>Yeah, but I think your analogy still worked.

0:23:17.119 --> 0:23:19.040
<v Speaker 3>Okay, thanks man, No problem.

0:23:19.119 --> 0:23:22.200
<v Speaker 2>You want to tell them about Con, I'll.

0:23:22.080 --> 0:23:22.639
<v Speaker 4>Leave it to you.

0:23:23.840 --> 0:23:29.199
<v Speaker 3>It there's a biologist name Con slobotic cough slobota. Oh No,

0:23:29.280 --> 0:23:32.040
<v Speaker 3>that's not right at all. No, it's not slow bod Chikhov.

0:23:32.600 --> 0:23:35.040
<v Speaker 4>Oh, nice work. I think you totally nailed it.

0:23:35.320 --> 0:23:37.359
<v Speaker 3>Yeah, oddly enough, Con is the one that throws me.

0:23:37.400 --> 0:23:39.200
<v Speaker 3>I've never heard that as a first name.

0:23:40.119 --> 0:23:43.160
<v Speaker 2>Con like Con.

0:23:43.320 --> 0:23:47.119
<v Speaker 3>Yeah, right, this is just gone anyway. That person is

0:23:47.160 --> 0:23:50.360
<v Speaker 3>a biologist and they study prairie dogs and that they

0:23:50.359 --> 0:23:53.640
<v Speaker 3>found that they have very distinct sounds that when they're

0:23:53.640 --> 0:23:56.600
<v Speaker 3>talking about predators that basically say what kind of predator

0:23:56.680 --> 0:23:59.800
<v Speaker 3>is coming, how what color they are, how big they

0:23:59.840 --> 0:24:03.640
<v Speaker 3>are are, how fast they're coming at us, And they

0:24:03.680 --> 0:24:06.480
<v Speaker 3>can combine all those sounds in different ways. If it's

0:24:06.520 --> 0:24:08.439
<v Speaker 3>an let's say it's an animal they've never a predator

0:24:08.480 --> 0:24:11.159
<v Speaker 3>they've never seen, they can combine those other words to

0:24:11.240 --> 0:24:13.520
<v Speaker 3>kind of say this is a new thing and not

0:24:13.760 --> 0:24:16.440
<v Speaker 3>the whatever hunts a prairie dog.

0:24:16.680 --> 0:24:22.359
<v Speaker 2>Right Like if you saw a somehow a terrasaar came

0:24:22.400 --> 0:24:25.600
<v Speaker 2>through a time warp into example, modern day Atlanta, and

0:24:25.640 --> 0:24:28.400
<v Speaker 2>we were standing outside and we didn't know a TerraSAR

0:24:28.480 --> 0:24:31.720
<v Speaker 2>because we'd never seen one before. We might say something

0:24:31.840 --> 0:24:37.640
<v Speaker 2>like look a flying green dragon monster. And that gets

0:24:37.880 --> 0:24:44.440
<v Speaker 2>generally the point across what Slobodchikov found is that prairie

0:24:44.480 --> 0:24:47.920
<v Speaker 2>dogs do the same thing. Yeah, and that they also

0:24:47.960 --> 0:24:50.760
<v Speaker 2>have a tonal language very similar to Mandarin, where different

0:24:51.040 --> 0:24:56.200
<v Speaker 2>changes in intonation of the same phoneme mean totally different things,

0:24:56.240 --> 0:24:59.560
<v Speaker 2>and that they layer these different tones, that these prairie

0:24:59.600 --> 0:25:04.919
<v Speaker 2>dogs language may actually be more complex than other languages

0:25:05.080 --> 0:25:07.640
<v Speaker 2>in in that use that are used by humans.

0:25:07.840 --> 0:25:11.280
<v Speaker 3>Yeah tonally right, Oh.

0:25:11.160 --> 0:25:13.320
<v Speaker 2>I thought you were making a joke, like totally.

0:25:13.200 --> 0:25:16.600
<v Speaker 3>No, no, no, tonally yeah, tonally tonally speaking, not like

0:25:16.640 --> 0:25:17.240
<v Speaker 3>the number.

0:25:17.000 --> 0:25:18.879
<v Speaker 4>Of words or whatever, totally tubular.

0:25:19.520 --> 0:25:19.639
<v Speaker 2>Uh.

0:25:19.920 --> 0:25:22.840
<v Speaker 3>And that they he fed all this stuff through a

0:25:22.840 --> 0:25:26.840
<v Speaker 3>computer to pick out like just very I called that,

0:25:26.880 --> 0:25:27.280
<v Speaker 3>by the way.

0:25:27.520 --> 0:25:30.240
<v Speaker 2>I know, but you're giving me nothing today, are you,

0:25:30.320 --> 0:25:32.120
<v Speaker 2>mac as I keep fooling you these days?

0:25:32.320 --> 0:25:36.800
<v Speaker 3>Yeah, maybe that's it, okay to the max. Uh. So

0:25:36.840 --> 0:25:39.639
<v Speaker 3>he fed this stuff into a computer so they could analyze, like,

0:25:40.000 --> 0:25:41.960
<v Speaker 3>you know, stuff that humans can't even hear, like a

0:25:41.960 --> 0:25:45.760
<v Speaker 3>program designed to analyze little minute differences. And what they

0:25:45.800 --> 0:25:48.280
<v Speaker 3>found out was when they did experiments of like human

0:25:48.320 --> 0:25:51.280
<v Speaker 3>beings walking and approaching the prairie dogs, they would say

0:25:51.280 --> 0:25:54.159
<v Speaker 3>something different, for here comes the tall guy and the

0:25:54.200 --> 0:25:59.080
<v Speaker 3>hat rather than here comes the short woman in the

0:25:59.520 --> 0:26:00.160
<v Speaker 3>high heat.

0:26:01.480 --> 0:26:02.840
<v Speaker 2>Right walking through the prairie.

0:26:03.160 --> 0:26:06.480
<v Speaker 3>Yeah, you know, because all those short ladies and high heels.

0:26:06.400 --> 0:26:08.520
<v Speaker 2>Right, and the tall man in the yellow hat.

0:26:08.720 --> 0:26:10.160
<v Speaker 3>Yeah, I'm not sure what happened there.

0:26:11.520 --> 0:26:15.359
<v Speaker 2>So so things are starting to kind of pick up here.

0:26:15.680 --> 0:26:17.480
<v Speaker 2>There's a one more we need to throw out that

0:26:17.560 --> 0:26:23.320
<v Speaker 2>really had a big effect on demonstrating language use among

0:26:24.000 --> 0:26:27.960
<v Speaker 2>among animals, and that was among Japanese tits using grammar.

0:26:29.000 --> 0:26:30.280
<v Speaker 3>These are birds, by the way.

0:26:30.240 --> 0:26:33.040
<v Speaker 2>Cute little birds. Yes, thank you for rescuing me from

0:26:33.800 --> 0:26:38.560
<v Speaker 2>angry parents. And they have a distinct sound for snake.

0:26:39.040 --> 0:26:39.600
<v Speaker 3>Yeah.

0:26:39.640 --> 0:26:42.600
<v Speaker 2>And if you say that, if you take that sound,

0:26:43.480 --> 0:26:45.119
<v Speaker 2>I'm not quite sure what the sound is, but I

0:26:45.200 --> 0:26:47.720
<v Speaker 2>believe it's more than one part. And you play it

0:26:47.760 --> 0:26:51.120
<v Speaker 2>out of order, it means nothing to them. To the birds,

0:26:51.640 --> 0:26:53.360
<v Speaker 2>But if you play in order, they're like, oh my god,

0:26:53.400 --> 0:26:57.680
<v Speaker 2>a snake ware and they've they've That shows that there

0:26:57.800 --> 0:27:01.840
<v Speaker 2>is grammar, there's word order mountains. And if it were

0:27:02.000 --> 0:27:04.760
<v Speaker 2>just innate, if it were just an involuntary reflex, it

0:27:04.760 --> 0:27:07.320
<v Speaker 2>wouldn't matter how you said that. If they heard one

0:27:07.359 --> 0:27:10.159
<v Speaker 2>of those tones or whatever, it would it would evoke

0:27:10.280 --> 0:27:14.439
<v Speaker 2>some sort of reaction or response. So you can speak

0:27:15.160 --> 0:27:20.000
<v Speaker 2>Gibberish to Japanese tits just by switching the word order

0:27:20.160 --> 0:27:22.680
<v Speaker 2>or the order of the sounds, which is the same thing,

0:27:22.720 --> 0:27:24.160
<v Speaker 2>basically switching word order.

0:27:24.840 --> 0:27:27.960
<v Speaker 3>Yeah, pretty cool this, you know. Now we get to

0:27:28.040 --> 0:27:31.639
<v Speaker 3>the question of is this something that they've learned or

0:27:31.720 --> 0:27:34.919
<v Speaker 3>is it instinctive, Like are their older counterparts teaching in

0:27:34.960 --> 0:27:38.199
<v Speaker 3>them these languages? Are they born with it? And we

0:27:38.240 --> 0:27:41.000
<v Speaker 3>have a couple of really cool examples. One is something

0:27:41.040 --> 0:27:45.040
<v Speaker 3>we talked about at length in the b episode, which

0:27:45.080 --> 0:27:50.879
<v Speaker 3>is the waggle dance that honey bees do. Basically to

0:27:50.960 --> 0:27:54.239
<v Speaker 3>show another bee where the food is. They use their

0:27:54.240 --> 0:27:56.800
<v Speaker 3>body position in relation to the sun and do this

0:27:56.840 --> 0:28:00.680
<v Speaker 3>little vibrating waggle to indicate the distance, and that's how

0:28:00.720 --> 0:28:03.000
<v Speaker 3>they tell everyone like, hey, let's go find this honey.

0:28:03.760 --> 0:28:06.639
<v Speaker 3>In nineteen seventy three, a gentleman named Carl von Frisch

0:28:07.080 --> 0:28:10.760
<v Speaker 3>won a Nobel Prize in physiology by translating this dance

0:28:10.800 --> 0:28:13.119
<v Speaker 3>and kind of figuring it out. And then just this

0:28:13.240 --> 0:28:16.119
<v Speaker 3>year in twenty twenty three, they did a study about

0:28:16.119 --> 0:28:19.240
<v Speaker 3>whether this was learned or something they're born with, and

0:28:19.280 --> 0:28:21.840
<v Speaker 3>they found that it's super cool, but it's a little

0:28:21.880 --> 0:28:25.320
<v Speaker 3>bit of both. So they got little baby bees who

0:28:25.560 --> 0:28:29.520
<v Speaker 3>hadn't seen this waggle dance yet isolated them, and they

0:28:30.240 --> 0:28:33.119
<v Speaker 3>found that they actually did try the waggle dance, so

0:28:33.240 --> 0:28:35.959
<v Speaker 3>it is somewhat innate something they're born with, but they

0:28:36.000 --> 0:28:38.400
<v Speaker 3>weren't very good at it. And when they compared those

0:28:38.440 --> 0:28:42.400
<v Speaker 3>to other baby bees who were living with adult bees

0:28:42.600 --> 0:28:46.000
<v Speaker 3>who were ostensibly teaching them this dance, they did it

0:28:46.080 --> 0:28:48.920
<v Speaker 3>much much better, were way more accurate as far as

0:28:48.960 --> 0:28:51.760
<v Speaker 3>the distance goes. And so they found that like, yeah,

0:28:51.800 --> 0:28:53.920
<v Speaker 3>they are born with it to a certain degree, but

0:28:53.960 --> 0:28:56.000
<v Speaker 3>they get better at it by being taught.

0:28:56.440 --> 0:29:00.000
<v Speaker 2>Yes, and just a teeny teensy bit of it is mabelin.

0:29:00.240 --> 0:29:03.040
<v Speaker 3>Right, all right, there you go, you heavy?

0:29:03.480 --> 0:29:04.160
<v Speaker 4>Yes, thanks you.

0:29:05.840 --> 0:29:10.280
<v Speaker 2>So there's so bees that's a wiggle dances is almost

0:29:10.320 --> 0:29:14.280
<v Speaker 2>just entirely incomprehensible to us, except for Carl von Hirsch.

0:29:14.320 --> 0:29:15.280
<v Speaker 4>He figured it out.

0:29:16.920 --> 0:29:21.440
<v Speaker 2>A much more closely relatable to us are hand signals,

0:29:21.520 --> 0:29:24.040
<v Speaker 2>the communication that a lot of the great apes use.

0:29:25.480 --> 0:29:29.040
<v Speaker 2>And what they found is that across apes there's similar

0:29:29.120 --> 0:29:34.280
<v Speaker 2>similar gestures for similar meanings, but that groups and different

0:29:34.320 --> 0:29:38.000
<v Speaker 2>species can use slightly different gestures. Whether it's a hand gesture,

0:29:38.000 --> 0:29:41.280
<v Speaker 2>I think chewing on a leaf a certain way is flirting,

0:29:42.360 --> 0:29:48.640
<v Speaker 2>there's a lot of different communicative body language or body

0:29:48.680 --> 0:29:52.160
<v Speaker 2>gestures that apes use, but that they can be slightly

0:29:52.200 --> 0:29:56.000
<v Speaker 2>different based on groups, which is a dialect. A dialect

0:29:56.080 --> 0:29:59.400
<v Speaker 2>is the use of a similar language or the same

0:29:59.480 --> 0:30:04.960
<v Speaker 2>language in slightly different ways based on your group, your culture,

0:30:05.400 --> 0:30:08.560
<v Speaker 2>your geography, what region you live in. It's exactly the

0:30:08.600 --> 0:30:12.479
<v Speaker 2>same thing as the distinction between soda or pop or

0:30:12.480 --> 0:30:15.680
<v Speaker 2>coke depending on where you live in the United States.

0:30:16.040 --> 0:30:19.040
<v Speaker 2>Same thing, same meaning. Those are all English words, but

0:30:19.240 --> 0:30:21.560
<v Speaker 2>you would say that based on where you live or

0:30:21.600 --> 0:30:24.320
<v Speaker 2>where you were raised or the culture that you were

0:30:24.400 --> 0:30:24.880
<v Speaker 2>raised in.

0:30:25.360 --> 0:30:28.680
<v Speaker 3>Yeah, and you know, chimpanzees, of course, get a lot

0:30:28.720 --> 0:30:31.040
<v Speaker 3>of research on stuff like this, and I think people

0:30:31.040 --> 0:30:34.480
<v Speaker 3>are more apt to believe that a chimp would do

0:30:34.520 --> 0:30:37.640
<v Speaker 3>something like that because they're just more like us. But

0:30:37.800 --> 0:30:40.040
<v Speaker 3>they found the same thing in all kinds of animals,

0:30:40.240 --> 0:30:43.040
<v Speaker 3>one of which is the naked mole rat, that they

0:30:43.120 --> 0:30:45.600
<v Speaker 3>respond as far as the dialects go, they respond to

0:30:45.680 --> 0:30:48.720
<v Speaker 3>soft chirps from people in their own colonies more than

0:30:48.720 --> 0:30:52.440
<v Speaker 3>they do those a similar sounding soft chirp in a

0:30:52.480 --> 0:30:55.120
<v Speaker 3>different colony. So, in other words, it's a different dialect,

0:30:56.080 --> 0:30:57.840
<v Speaker 3>and we're going to be doing one on naked mole

0:30:57.880 --> 0:30:58.880
<v Speaker 3>rats at some point.

0:30:59.120 --> 0:30:59.520
<v Speaker 4>Easy it is.

0:31:00.320 --> 0:31:03.680
<v Speaker 3>I forgot forgot how much I love this animal from

0:31:04.040 --> 0:31:07.160
<v Speaker 3>watching the great documentary Fast, Cheap and out of Control

0:31:07.680 --> 0:31:12.240
<v Speaker 3>by master documentarian Errol Morris. And we'll talk about it

0:31:12.280 --> 0:31:15.160
<v Speaker 3>when we eventually get to that episode. Okay, so, same

0:31:15.600 --> 0:31:18.600
<v Speaker 3>great doc I have a recommend it though. You want

0:31:18.600 --> 0:31:21.760
<v Speaker 3>to hear something super amazing? Yes, do you remember?

0:31:21.800 --> 0:31:24.680
<v Speaker 2>And I think our Evolution of Human Intelligence episode we

0:31:24.720 --> 0:31:27.320
<v Speaker 2>talked about how they think the word he might actually

0:31:27.360 --> 0:31:31.320
<v Speaker 2>be so old that Neanderthals might have used it, like

0:31:31.360 --> 0:31:35.480
<v Speaker 2>it's one of the oldest sounds that humans make. There's

0:31:35.640 --> 0:31:38.640
<v Speaker 2>the hand gesture for come here that you use where

0:31:38.640 --> 0:31:40.280
<v Speaker 2>you kind of point right in front of you with

0:31:40.320 --> 0:31:41.320
<v Speaker 2>your fingers downward.

0:31:41.720 --> 0:31:44.040
<v Speaker 4>M Yeah, apes, apes use that.

0:31:44.600 --> 0:31:47.280
<v Speaker 2>Oh wow, we still use the same hand gesture that

0:31:47.320 --> 0:31:49.040
<v Speaker 2>we used back when we were.

0:31:49.840 --> 0:31:51.320
<v Speaker 4>Full on great apes.

0:31:51.760 --> 0:31:52.320
<v Speaker 3>That's awesome.

0:31:52.640 --> 0:31:53.440
<v Speaker 2>Isn't that amazing?

0:31:53.720 --> 0:31:53.840
<v Speaker 3>Ye?

0:31:54.440 --> 0:31:57.480
<v Speaker 2>It just works so well. Why why fix what ain't broke?

0:31:57.520 --> 0:31:59.720
<v Speaker 2>We decided over millions and millions of years.

0:32:00.240 --> 0:32:03.560
<v Speaker 3>That's super cool. I think we should take a break

0:32:05.080 --> 0:32:07.280
<v Speaker 3>because we have a star of the show that's about

0:32:07.280 --> 0:32:10.720
<v Speaker 3>to appear several but a big star of the show

0:32:10.800 --> 0:32:13.680
<v Speaker 3>is about to appear in Communication and that's called the Whale.

0:32:14.320 --> 0:32:16.240
<v Speaker 3>And we'll be back to talk about wales right.

0:32:16.120 --> 0:32:38.000
<v Speaker 4>After this, okay, Chuck.

0:32:38.040 --> 0:32:40.480
<v Speaker 2>So, in addition to the Naked mole Rat episode, I

0:32:40.520 --> 0:32:42.440
<v Speaker 2>want to do an episode on the Save the Whales

0:32:42.480 --> 0:32:43.080
<v Speaker 2>movement that.

0:32:43.080 --> 0:32:45.440
<v Speaker 3>Was oh yeah, yeah, yeah, Okay, we're.

0:32:45.280 --> 0:32:46.600
<v Speaker 4>Gonna do that, okay.

0:32:47.440 --> 0:32:49.960
<v Speaker 2>But central to that was a guy named Roger Payne,

0:32:50.000 --> 0:32:52.360
<v Speaker 2>who I'm sure will come quite a bit in that episode,

0:32:52.680 --> 0:32:55.200
<v Speaker 2>so we won't get into him too deeply, but he

0:32:55.640 --> 0:33:01.920
<v Speaker 2>was a I believe, a biological acoustician, some really arcane

0:33:02.480 --> 0:33:08.520
<v Speaker 2>specialty made he Basically, he, I guess, had friends in

0:33:08.760 --> 0:33:12.520
<v Speaker 2>US Navy listening stations that had been set up to

0:33:12.640 --> 0:33:18.280
<v Speaker 2>eavesdrop on ro Soviet submarines, and those navy stations were

0:33:18.440 --> 0:33:21.760
<v Speaker 2>turning up these amazing recordings of whale songs that people

0:33:21.840 --> 0:33:25.040
<v Speaker 2>just didn't realize existed up to that point, and Roger

0:33:25.080 --> 0:33:28.760
<v Speaker 2>Paine wrote a science article on it that came out

0:33:29.320 --> 0:33:32.680
<v Speaker 2>in the early seventies, and then simultaneous to that, he

0:33:32.720 --> 0:33:35.840
<v Speaker 2>introduced it to the larger public, not just the scientific community,

0:33:36.120 --> 0:33:39.640
<v Speaker 2>with an album called Songs of the Humpback Whale. It

0:33:39.680 --> 0:33:43.400
<v Speaker 2>was released in nineteen seventy. It is recordings, I think,

0:33:43.400 --> 0:33:46.840
<v Speaker 2>a thirty five minute album of recording of whale songs.

0:33:47.480 --> 0:33:51.880
<v Speaker 2>It went multi platinum because I imagine that you could take

0:33:52.000 --> 0:33:54.680
<v Speaker 2>acid or smoke pot and just sit there and zone

0:33:54.720 --> 0:33:58.240
<v Speaker 2>out to that for hours. But also it really dovetailed

0:33:58.240 --> 0:34:02.600
<v Speaker 2>with the nascent environmental movement that was coming along at

0:34:02.600 --> 0:34:05.880
<v Speaker 2>the same time too, and that actually helped contribute to

0:34:05.920 --> 0:34:10.120
<v Speaker 2>the Save the Whales campaign that was highly successful just

0:34:10.160 --> 0:34:11.640
<v Speaker 2>from releasing that album.

0:34:11.760 --> 0:34:15.000
<v Speaker 3>Yeah, I've listened to it today. You can stream it

0:34:15.160 --> 0:34:18.399
<v Speaker 3>anytime you want. It's I'm sure you listen to it, right.

0:34:18.840 --> 0:34:19.280
<v Speaker 4>I didn't.

0:34:19.320 --> 0:34:23.480
<v Speaker 2>I found it distracting, Like even though it's instrumental silent,

0:34:23.640 --> 0:34:25.759
<v Speaker 2>I was my mind kept being like, what the hell

0:34:25.840 --> 0:34:27.960
<v Speaker 2>is that? And I couldn't concentrate, so I did turn

0:34:28.000 --> 0:34:28.319
<v Speaker 2>it off.

0:34:28.520 --> 0:34:30.840
<v Speaker 3>Oh interesting, because I found it to be because I

0:34:30.880 --> 0:34:33.799
<v Speaker 3>can only listen to very specific kinds of music when

0:34:33.840 --> 0:34:38.719
<v Speaker 3>I do this study stuff, like mainly it's Brian Eno

0:34:38.880 --> 0:34:41.960
<v Speaker 3>and now songs of the humpback Whales in Brian Adams

0:34:42.400 --> 0:34:44.759
<v Speaker 3>and Brian Adams. It was good though I like it.

0:34:44.800 --> 0:34:48.400
<v Speaker 3>I mean it's not it's very much background music and

0:34:48.440 --> 0:34:51.800
<v Speaker 3>it's not even like a like I would defy anyone

0:34:51.800 --> 0:34:53.400
<v Speaker 3>to even say, like, oh, if you listen to this

0:34:53.520 --> 0:34:55.799
<v Speaker 3>like a melodic and it's like a song, it's really not.

0:34:55.920 --> 0:34:58.840
<v Speaker 3>It's whales making noises. But I just found it very relaxing.

0:34:59.120 --> 0:34:59.560
<v Speaker 4>Yeah, it is.

0:35:00.640 --> 0:35:03.319
<v Speaker 2>I can imagine like if I were, if I were

0:35:03.680 --> 0:35:06.120
<v Speaker 2>just kind of sitting around zoning out on that, it

0:35:06.160 --> 0:35:10.000
<v Speaker 2>would be extraordinarily pleasant. But my brain just wants to focus.

0:35:09.800 --> 0:35:13.680
<v Speaker 3>Yeah, on acid on PCP. There are all kinds of whales, though,

0:35:13.680 --> 0:35:16.799
<v Speaker 3>and they have all kinds of communications that we've learned

0:35:16.800 --> 0:35:19.640
<v Speaker 3>about over the years. The sperm whale they have what

0:35:19.680 --> 0:35:24.040
<v Speaker 3>they call like a coda click pattern, and it depends

0:35:24.120 --> 0:35:26.080
<v Speaker 3>It's kind of like a dialect as well, I guess,

0:35:26.120 --> 0:35:31.200
<v Speaker 3>because it depends on what clan and clans are, you know,

0:35:31.280 --> 0:35:34.080
<v Speaker 3>groups of huge, huge groups of whales. Sometimes there are

0:35:34.080 --> 0:35:38.120
<v Speaker 3>thousands of them, made up of smaller groups, usually five

0:35:38.160 --> 0:35:41.080
<v Speaker 3>to ten female adults and their kids. But they get

0:35:41.120 --> 0:35:44.319
<v Speaker 3>together in these big clans and the different clans have

0:35:44.520 --> 0:35:47.880
<v Speaker 3>you know, variations of their language, and when they have

0:35:47.960 --> 0:35:52.520
<v Speaker 3>overlapping territories, they get really really distinct because they're overlapping,

0:35:52.560 --> 0:35:54.040
<v Speaker 3>so they can tell one another apart.

0:35:54.520 --> 0:35:57.239
<v Speaker 2>Yeah, they have like a clan signifier that they use

0:35:57.360 --> 0:36:01.200
<v Speaker 2>identify themselves to others, right, because these whales don't really

0:36:01.280 --> 0:36:05.120
<v Speaker 2>navigate the world by eyesight, they mostly do it from sound,

0:36:05.719 --> 0:36:09.040
<v Speaker 2>so that's how you would do that. And these clicks

0:36:09.120 --> 0:36:13.680
<v Speaker 2>apparently can last about ten milliseconds, but they're two hundred

0:36:13.680 --> 0:36:18.279
<v Speaker 2>and thirty six decibels in volume, And to give you

0:36:18.400 --> 0:36:24.480
<v Speaker 2>a a comparison, that's the word I'm groping for. Totally

0:36:24.719 --> 0:36:30.200
<v Speaker 2>gunshot is one hundred and forty decibels. Okay, okay, your

0:36:30.239 --> 0:36:33.160
<v Speaker 2>pain threshold starts around there. So if you happen to

0:36:33.200 --> 0:36:38.160
<v Speaker 2>be sitting next to a sperm whale underwater when it

0:36:38.239 --> 0:36:40.239
<v Speaker 2>let out one of these clicks, it would blow your

0:36:40.280 --> 0:36:42.640
<v Speaker 2>ear drums right out and possibly your entire head.

0:36:43.040 --> 0:36:45.440
<v Speaker 3>I can only picture you now underwater, sitting in your

0:36:45.480 --> 0:36:49.920
<v Speaker 3>don't be Dumb chair, just floating above it or standing

0:36:49.960 --> 0:36:54.919
<v Speaker 3>awkwardly beside it, yeah, or underneath it, or who knows,

0:36:54.680 --> 0:36:55.760
<v Speaker 3>things got weird.

0:36:56.000 --> 0:36:57.719
<v Speaker 2>Yeah, it did get a little weird right out of

0:36:57.760 --> 0:36:58.040
<v Speaker 2>the gate.

0:36:58.120 --> 0:37:00.719
<v Speaker 3>Really well, that was the whole point. And I love

0:37:00.760 --> 0:37:04.759
<v Speaker 3>for your Instagram birthday posts. When I ask people to

0:37:04.760 --> 0:37:07.919
<v Speaker 3>make their favorite Josh moments, those a lot of don't

0:37:07.920 --> 0:37:09.240
<v Speaker 3>be dumb in there. I don't know if you noticed.

0:37:10.000 --> 0:37:12.560
<v Speaker 2>I did, and thank you for that. That was extraordinarily

0:37:12.719 --> 0:37:13.200
<v Speaker 2>kind of you.

0:37:13.480 --> 0:37:16.319
<v Speaker 3>Of course, man, that's all true, but people love. Don't

0:37:16.360 --> 0:37:16.760
<v Speaker 3>be dumb.

0:37:16.960 --> 0:37:20.719
<v Speaker 4>I get it, like I get it. Everybody just shut up.

0:37:20.880 --> 0:37:26.160
<v Speaker 3>No, it was great. Baby sperm whales and orcas have

0:37:26.400 --> 0:37:29.280
<v Speaker 3>like baby talk. They babble just like a little human

0:37:29.320 --> 0:37:33.279
<v Speaker 3>baby would. When they're learning. Newborn orcas make a really

0:37:33.360 --> 0:37:37.000
<v Speaker 3>high pitched call. It changes as they grow into adults

0:37:37.000 --> 0:37:40.800
<v Speaker 3>into a completely different sound, and it starts at about

0:37:40.840 --> 0:37:45.160
<v Speaker 3>two months. The adult sounding stuff they start to learn, basically,

0:37:45.800 --> 0:37:48.640
<v Speaker 3>it seems like it about two months, and then for

0:37:48.800 --> 0:37:50.920
<v Speaker 3>years and years until they hit pubert. They are learning

0:37:50.960 --> 0:37:54.280
<v Speaker 3>new vocalizations aka words.

0:37:54.360 --> 0:37:59.760
<v Speaker 2>Exactly like the development of human kids too. Yeah, orcas

0:37:59.800 --> 0:38:02.680
<v Speaker 2>all so very much like those birds that live around

0:38:02.680 --> 0:38:05.359
<v Speaker 2>the Campbell's monkeys. They can learn the calls of other

0:38:05.560 --> 0:38:09.719
<v Speaker 2>species too that they live around. Apparently, orcus can understand

0:38:09.800 --> 0:38:13.320
<v Speaker 2>what bottlenose dolphins are saying to one another. Again, bottlenose

0:38:13.400 --> 0:38:15.880
<v Speaker 2>dolphin is not trying to communicate with the orca. The

0:38:16.000 --> 0:38:18.680
<v Speaker 2>orc is just eavesdropping and if it hears like O,

0:38:18.719 --> 0:38:21.640
<v Speaker 2>there's some really great salmon over here you're clear, the

0:38:21.719 --> 0:38:23.520
<v Speaker 2>orca will be like, I'm going straight to it because

0:38:23.520 --> 0:38:24.720
<v Speaker 2>I love chinook salmon.

0:38:25.160 --> 0:38:28.200
<v Speaker 3>Yeah. The dolphin actually has my fact of the podcast

0:38:29.239 --> 0:38:31.920
<v Speaker 3>that I can't wait to tell Ruby later on what

0:38:33.480 --> 0:38:37.520
<v Speaker 3>they name themselves. Within the first few months of being born,

0:38:37.960 --> 0:38:41.440
<v Speaker 3>they create a very signature whistle to identify themselves, so

0:38:41.480 --> 0:38:42.799
<v Speaker 3>they you know, that's their name.

0:38:43.400 --> 0:38:46.160
<v Speaker 2>Yeah, And so I really want to make sure that

0:38:46.239 --> 0:38:51.520
<v Speaker 2>this lands because sperm whales have clan codas you're saying

0:38:51.520 --> 0:38:56.520
<v Speaker 2>to other sperm whales, I'm a member of the Jamboree

0:38:56.560 --> 0:39:00.399
<v Speaker 2>clan or whatever whatever they would name themselves. Sure, it's

0:39:00.400 --> 0:39:05.040
<v Speaker 2>like in click sounds, Yeah, but that's for their clan membership,

0:39:05.160 --> 0:39:09.120
<v Speaker 2>not them as individuals. Bottlenose dolphins name themselves as individuals,

0:39:09.200 --> 0:39:11.560
<v Speaker 2>like this is my name. I'm Josh the dolphin. Good

0:39:11.600 --> 0:39:14.120
<v Speaker 2>to meet you. That is what they're doing. Like that,

0:39:14.520 --> 0:39:18.680
<v Speaker 2>it's that level of identity, individual identity that they're using

0:39:18.719 --> 0:39:21.680
<v Speaker 2>to introduce themselves to other dolphins.

0:39:22.160 --> 0:39:23.560
<v Speaker 3>Amazing it is.

0:39:23.640 --> 0:39:25.720
<v Speaker 2>That really is one of the facts of the podcast.

0:39:25.800 --> 0:39:28.440
<v Speaker 2>In the podcast chock full of facts of the podcast.

0:39:28.760 --> 0:39:30.759
<v Speaker 3>So we should probably talk about the brain a little bit,

0:39:32.440 --> 0:39:34.799
<v Speaker 3>and like, you know, the question like have we ever

0:39:34.840 --> 0:39:36.880
<v Speaker 3>actually studied the brain of these animals to see if

0:39:36.880 --> 0:39:39.200
<v Speaker 3>there are anything like humans, because we know so much

0:39:39.200 --> 0:39:42.400
<v Speaker 3>about human brains and the areas of the brain that

0:39:42.440 --> 0:39:45.799
<v Speaker 3>handle communication and like emotion and stuff like that that

0:39:45.880 --> 0:39:50.399
<v Speaker 3>comes out through communication. And yes, they have. And we're

0:39:50.400 --> 0:39:53.720
<v Speaker 3>gonna talk about something called spindle cells, which were discovered

0:39:53.760 --> 0:39:57.560
<v Speaker 3>in eighteen eighty one and then basically went away and

0:39:57.600 --> 0:40:01.640
<v Speaker 3>were rediscovered in nineteen ninety five. And these are specialized

0:40:01.680 --> 0:40:05.960
<v Speaker 3>neurons that are in two very specific brain regions, the ACC,

0:40:06.200 --> 0:40:11.960
<v Speaker 3>the anterior cingulate cortex, and the frontal insula the FI.

0:40:12.719 --> 0:40:16.160
<v Speaker 3>And they've basically established that both of these regions of

0:40:16.200 --> 0:40:19.960
<v Speaker 3>the brain and humans are where we experience our emotion

0:40:20.480 --> 0:40:25.360
<v Speaker 3>and are really important for monitoring ourselves and our bodies

0:40:25.440 --> 0:40:28.400
<v Speaker 3>and how we feel, like are we in pain? Are

0:40:28.440 --> 0:40:32.920
<v Speaker 3>we hungry? Did we goof something up? Like self monitoring?

0:40:32.960 --> 0:40:35.719
<v Speaker 2>Basically yeah, and not just self monitoring like on the

0:40:35.760 --> 0:40:38.319
<v Speaker 2>individual level, but in relation to other people, like you said,

0:40:38.360 --> 0:40:40.440
<v Speaker 2>like did we goof something up? Should we feel embarrassed?

0:40:40.480 --> 0:40:42.879
<v Speaker 2>Have we made a social gaff? All of these things

0:40:42.960 --> 0:40:46.480
<v Speaker 2>are kind of controlled self monitoring, self reflection by the

0:40:47.120 --> 0:40:52.200
<v Speaker 2>anterior cingulate cortex and the frontal insula. Right, So our

0:40:52.640 --> 0:40:58.719
<v Speaker 2>ability to empathize, essentially is what we're talking about, is

0:40:58.719 --> 0:41:02.440
<v Speaker 2>from the activity of these two and they're characterized by

0:41:02.480 --> 0:41:06.000
<v Speaker 2>a large number of spindle cells, and only spindle cells

0:41:06.000 --> 0:41:10.040
<v Speaker 2>are found in these areas. Okay, so we're like, okay,

0:41:10.120 --> 0:41:13.600
<v Speaker 2>spindle cells, that's the seat of empathy, of emotion, of

0:41:13.719 --> 0:41:18.719
<v Speaker 2>understanding other people. Well, it turns out that I don't

0:41:18.719 --> 0:41:23.080
<v Speaker 2>know if it's neuron for neuron, sperm whales have more

0:41:23.120 --> 0:41:27.520
<v Speaker 2>spindle cells than human beings do. Yeah, okay, so we

0:41:27.640 --> 0:41:30.360
<v Speaker 2>have really good evidence and it's not just sperm whales.

0:41:30.360 --> 0:41:33.160
<v Speaker 2>There are other cetaceans. A lot of the great apes

0:41:33.200 --> 0:41:35.840
<v Speaker 2>have spindle cells too. Don't ask how we know this,

0:41:35.960 --> 0:41:38.799
<v Speaker 2>by the way, but where we've found that they have

0:41:39.040 --> 0:41:42.960
<v Speaker 2>the makings of what it would take to empathize with others.

0:41:43.120 --> 0:41:46.319
<v Speaker 2>And if you put that together with the assumption or

0:41:46.320 --> 0:41:50.640
<v Speaker 2>the growing understanding that they're communicating in very deep levels,

0:41:51.040 --> 0:41:54.279
<v Speaker 2>it would make sense that if we can decode what

0:41:54.360 --> 0:41:56.560
<v Speaker 2>they're saying, we'll find they have quite a bit to

0:41:56.640 --> 0:42:00.840
<v Speaker 2>say that we could conceivably, you know, understand and connect with.

0:42:01.520 --> 0:42:04.040
<v Speaker 3>Yeah, that's I mean, that's just incredible.

0:42:04.400 --> 0:42:06.280
<v Speaker 2>It really is, because what we're seeing with those spindle

0:42:06.320 --> 0:42:10.600
<v Speaker 2>cells is they're not like, you know, I'm hungry, let's

0:42:10.640 --> 0:42:13.319
<v Speaker 2>eat that snake. And that's like the extent, the most

0:42:13.360 --> 0:42:17.919
<v Speaker 2>fascinating thing a chimp says on any given day. Who

0:42:17.960 --> 0:42:20.080
<v Speaker 2>knows what they're thinking, Like, it just opens up a

0:42:20.120 --> 0:42:24.320
<v Speaker 2>whole universe of possibility about what they're thinking, what they're feeling,

0:42:24.520 --> 0:42:28.840
<v Speaker 2>because bear in mind, they're also experiencing life in the universe,

0:42:28.880 --> 0:42:33.319
<v Speaker 2>in the world and everything in a totally different way

0:42:33.360 --> 0:42:35.080
<v Speaker 2>than we are. So the idea of being able to

0:42:35.120 --> 0:42:37.759
<v Speaker 2>tap into that and then to share our experience with them,

0:42:38.040 --> 0:42:42.759
<v Speaker 2>I mean, I can't imagine what just massive impacts that

0:42:42.760 --> 0:42:45.440
<v Speaker 2>would have on humanity and hopefully on the world and

0:42:45.520 --> 0:42:46.799
<v Speaker 2>in general if we could do that.

0:42:47.280 --> 0:42:49.920
<v Speaker 3>Oh yeah, well, and to be able to figure a

0:42:49.960 --> 0:42:52.920
<v Speaker 3>lot of this stuff out, they've they've we've long realized

0:42:52.960 --> 0:42:56.239
<v Speaker 3>that some of this stuff is just beyond our abilities.

0:42:56.880 --> 0:43:00.440
<v Speaker 3>The crow is one example. They use, like have a

0:43:00.520 --> 0:43:04.960
<v Speaker 3>lot of different vocalizations of varying pitches and durations and

0:43:05.000 --> 0:43:10.120
<v Speaker 3>inflections and rhythms and cadences, and there's just no way

0:43:10.160 --> 0:43:14.520
<v Speaker 3>that humans could listen enough basically and isolate these crows

0:43:14.680 --> 0:43:17.920
<v Speaker 3>by sex and age and social status and where they

0:43:17.960 --> 0:43:20.600
<v Speaker 3>are and to be able to really learn all of

0:43:20.640 --> 0:43:24.040
<v Speaker 3>this stuff. So, you know, we talked about AI and

0:43:24.160 --> 0:43:27.640
<v Speaker 3>large language models recently and got a few emails from

0:43:27.680 --> 0:43:29.560
<v Speaker 3>people that are like, you know, there seem to be

0:43:29.640 --> 0:43:32.439
<v Speaker 3>a lot of fear based stuff in this, which is true,

0:43:33.440 --> 0:43:35.640
<v Speaker 3>and you guys didn't focus on any of the great

0:43:35.680 --> 0:43:39.040
<v Speaker 3>possibilities and maybe we didn't. So here's one cool thing

0:43:39.080 --> 0:43:42.640
<v Speaker 3>that AI is gonna potentially do and that they're already

0:43:42.680 --> 0:43:46.400
<v Speaker 3>starting to use, is helping out just sort of like

0:43:46.480 --> 0:43:49.520
<v Speaker 3>we have figured out or how AI is working with

0:43:49.640 --> 0:43:53.239
<v Speaker 3>large language models as predictors of like how a human

0:43:53.320 --> 0:43:56.719
<v Speaker 3>might type of sentence that makes sense, and doing the

0:43:56.719 --> 0:43:59.480
<v Speaker 3>same thing with animals basically and trying to figure out

0:43:59.480 --> 0:44:00.319
<v Speaker 3>their language.

0:44:00.680 --> 0:44:03.760
<v Speaker 2>Yeah, just detecting patterns, figuring out what words are important,

0:44:03.800 --> 0:44:06.960
<v Speaker 2>how they're being used, all this stuff. They've already got it.

0:44:07.360 --> 0:44:10.759
<v Speaker 2>I think Deep Squeak was the first one that analyzes

0:44:10.880 --> 0:44:13.920
<v Speaker 2>rodent sounds. And there's a couple of groups. One is

0:44:14.000 --> 0:44:19.960
<v Speaker 2>seti ceti cetacean translation initiative project that's led by a

0:44:19.960 --> 0:44:23.560
<v Speaker 2>guy named David Gruber. They have there. The way I

0:44:23.640 --> 0:44:26.160
<v Speaker 2>saw it put is that they're going all in on

0:44:26.160 --> 0:44:30.200
<v Speaker 2>one plan, the EC two clan of sperm whales off

0:44:30.239 --> 0:44:35.799
<v Speaker 2>the island of Dominica, and they are completely observing and

0:44:35.880 --> 0:44:39.239
<v Speaker 2>monitoring this clan of sperm whales twenty four hours a day,

0:44:39.560 --> 0:44:42.200
<v Speaker 2>every day of the year. They're down to using robotic

0:44:42.280 --> 0:44:45.360
<v Speaker 2>fish that are gathering video and audio and everything that

0:44:45.440 --> 0:44:49.680
<v Speaker 2>swim along with the whales. They know everything that these

0:44:49.680 --> 0:44:52.399
<v Speaker 2>whales are doing at any given moment. And so not

0:44:52.440 --> 0:44:55.239
<v Speaker 2>only are they getting these whale songs and collecting them

0:44:55.280 --> 0:44:59.520
<v Speaker 2>to feed into this the large language model to understand it,

0:44:59.640 --> 0:45:03.120
<v Speaker 2>they're all so notating this stuff so that the context

0:45:03.160 --> 0:45:06.239
<v Speaker 2>is also understood too, because what they what they think

0:45:06.320 --> 0:45:09.600
<v Speaker 2>is that a different click or coda depending on the context,

0:45:09.680 --> 0:45:12.560
<v Speaker 2>can totally change meaning. So they also need to know

0:45:12.600 --> 0:45:14.719
<v Speaker 2>this too. But it's a huge undertaking. They have like

0:45:14.800 --> 0:45:18.160
<v Speaker 2>tens of thousands of whale song right now. To probably

0:45:18.200 --> 0:45:22.280
<v Speaker 2>crack this language, they're gonna need millions. So it's they

0:45:22.480 --> 0:45:24.400
<v Speaker 2>they started on the road, but they've got a ways

0:45:24.440 --> 0:45:24.759
<v Speaker 2>to go.

0:45:25.520 --> 0:45:28.359
<v Speaker 3>Yeah, And it's like, I think what they're looking for

0:45:28.440 --> 0:45:32.080
<v Speaker 3>is that next level, which is not oh wow, the

0:45:32.120 --> 0:45:36.000
<v Speaker 3>whales told other whales where the good fish were or whatever,

0:45:36.560 --> 0:45:41.400
<v Speaker 3>is they want answers to things like do whales tell stories,

0:45:41.760 --> 0:45:43.960
<v Speaker 3>like very rudimentary stories to one another.

0:45:43.880 --> 0:45:45.960
<v Speaker 2>Or very advanced stories? Why does it have to be

0:45:46.040 --> 0:45:46.680
<v Speaker 2>rude to artry?

0:45:46.760 --> 0:45:46.920
<v Speaker 4>You know?

0:45:47.080 --> 0:45:51.600
<v Speaker 3>Yeah, exactly do they if something like something big happens

0:45:51.600 --> 0:45:54.040
<v Speaker 3>to a whale clan, do they talk about it afterward?

0:45:54.160 --> 0:45:56.200
<v Speaker 3>Like a week later? Does someone bring this up? Do

0:45:56.280 --> 0:45:59.040
<v Speaker 3>they do these maths in any way? And these are

0:45:59.080 --> 0:46:02.760
<v Speaker 3>all like questions that would just blast open the door,

0:46:03.840 --> 0:46:06.359
<v Speaker 3>like if answered, just blast open the door of our

0:46:06.440 --> 0:46:09.520
<v Speaker 3>understanding of how animals may talk to one another.

0:46:09.719 --> 0:46:13.000
<v Speaker 2>Yeah, so SETI is eavesdropping in order to understand what

0:46:13.040 --> 0:46:16.320
<v Speaker 2>whales are saying. There's another project called the Earth's Species

0:46:16.360 --> 0:46:19.759
<v Speaker 2>Project ESP that is in part looking at types of

0:46:19.760 --> 0:46:22.200
<v Speaker 2>whales not only to learn what they're saying, but to

0:46:22.280 --> 0:46:25.480
<v Speaker 2>speak to them directly. So the difference between the two

0:46:25.560 --> 0:46:28.480
<v Speaker 2>projects is almost like the difference between SETI and Mehdi

0:46:28.920 --> 0:46:31.759
<v Speaker 2>as far as searching for alien intelligence is concern. It's

0:46:31.880 --> 0:46:34.920
<v Speaker 2>very similar in nature. But one of the things that

0:46:35.000 --> 0:46:38.560
<v Speaker 2>Earth Species Project is trying to do is map all

0:46:38.680 --> 0:46:45.200
<v Speaker 2>species languages to find universal terms or universal concepts and

0:46:45.320 --> 0:46:48.800
<v Speaker 2>understand the different words, so you could translate tiger into whale,

0:46:48.800 --> 0:46:52.600
<v Speaker 2>into human into you know Japanese tit.

0:46:54.000 --> 0:46:57.600
<v Speaker 3>Right, or if they're like conceptually like you were talking about,

0:46:57.920 --> 0:47:01.759
<v Speaker 3>are there overlaps in things like grief or joy or

0:47:01.800 --> 0:47:06.000
<v Speaker 3>these other like big sort of umbrella experiences that seemingly

0:47:06.280 --> 0:47:07.440
<v Speaker 3>any living thing could.

0:47:07.360 --> 0:47:11.319
<v Speaker 2>Experience right exactly, and like you said, it would blow

0:47:11.320 --> 0:47:15.800
<v Speaker 2>things open it totally. Some people are like, this would

0:47:15.880 --> 0:47:19.040
<v Speaker 2>change humans forever, Like how could anybody eat meat after

0:47:19.040 --> 0:47:20.680
<v Speaker 2>that point? If you can understand a pig is saying

0:47:20.680 --> 0:47:22.680
<v Speaker 2>please don't kill me, Please don't kill me while you're

0:47:22.719 --> 0:47:26.160
<v Speaker 2>killing it, right, you couldn't do it, and if you did,

0:47:26.200 --> 0:47:29.520
<v Speaker 2>people would stop you kind of thing. Other people are like, well,

0:47:29.520 --> 0:47:32.360
<v Speaker 2>I'm worried that we're going to use it to manipulate animals,

0:47:32.760 --> 0:47:35.000
<v Speaker 2>and people will probably try to do that too. Up

0:47:35.040 --> 0:47:38.880
<v Speaker 2>the outcome would likely be both, like humans would be changed,

0:47:38.920 --> 0:47:43.480
<v Speaker 2>our relationship with the animal world would be forever changed

0:47:43.800 --> 0:47:46.439
<v Speaker 2>for the better and the worse. And that's just kind

0:47:46.440 --> 0:47:49.160
<v Speaker 2>of how life goes. But that kind of change, I

0:47:49.160 --> 0:47:52.400
<v Speaker 2>can't imagine how amazing it would be to witness that.

0:47:53.239 --> 0:47:55.360
<v Speaker 3>Yeah, I also thought this thing, the one thing you

0:47:55.360 --> 0:47:58.920
<v Speaker 3>said was really cool about, like because the idea of

0:47:58.960 --> 0:48:00.680
<v Speaker 3>like all right, let's say we could only get there

0:48:00.680 --> 0:48:05.600
<v Speaker 3>like or understand. You know, I think who was the

0:48:05.600 --> 0:48:06.640
<v Speaker 3>guy that was named.

0:48:06.480 --> 0:48:11.200
<v Speaker 2>Garber, he's the head of setting Ruber. Yeah, Gruber, Yeah, yeah,

0:48:11.360 --> 0:48:11.960
<v Speaker 2>Gruber was.

0:48:12.440 --> 0:48:14.799
<v Speaker 3>He was like, you know, everyone's really excited. He said

0:48:14.840 --> 0:48:16.440
<v Speaker 3>that also could be a real letdown. It could be

0:48:16.560 --> 0:48:20.000
<v Speaker 3>like the do talk is just super boring. But the

0:48:20.080 --> 0:48:22.759
<v Speaker 3>idea that you know, this thing that you said about, like, well,

0:48:22.800 --> 0:48:24.040
<v Speaker 3>what if we could communicate, what.

0:48:24.000 --> 0:48:26.640
<v Speaker 4>Would what would we have to talk about with the whale?

0:48:27.480 --> 0:48:29.640
<v Speaker 3>And that's where you start to look at like larger

0:48:29.640 --> 0:48:31.360
<v Speaker 3>commonalities of living things.

0:48:31.880 --> 0:48:32.040
<v Speaker 2>Uh.

0:48:32.080 --> 0:48:34.239
<v Speaker 3>And in the case of a whale, like you know,

0:48:34.480 --> 0:48:37.280
<v Speaker 3>I got kids, You got kids. I love to swim,

0:48:37.400 --> 0:48:41.200
<v Speaker 3>I love to sleep. We're both mammals, like we got

0:48:41.320 --> 0:48:44.920
<v Speaker 3>we have a handful of things we could actually talk about. Uh.

0:48:44.960 --> 0:48:48.279
<v Speaker 3>And then the idea of like objectivity as a scientist

0:48:48.400 --> 0:48:53.239
<v Speaker 3>comes in because it's and not objectivity in that like

0:48:53.440 --> 0:48:57.120
<v Speaker 3>I really want this to happen or not, but objectivity

0:48:57.160 --> 0:49:01.800
<v Speaker 3>of just like an experience that a whale can understand,

0:49:01.880 --> 0:49:05.239
<v Speaker 3>can't even understand, like being dry, Like we would talk

0:49:05.239 --> 0:49:07.560
<v Speaker 3>about being wet in a different context that a whale

0:49:07.560 --> 0:49:09.040
<v Speaker 3>would because a whale would just say, like, what do

0:49:09.040 --> 0:49:12.560
<v Speaker 3>you mean wet? Like all is wet exactly, and we

0:49:12.560 --> 0:49:14.240
<v Speaker 3>would say no, like wet's when you take a shower

0:49:14.280 --> 0:49:15.239
<v Speaker 3>or get in a swimming pool.

0:49:15.520 --> 0:49:17.720
<v Speaker 2>But the hope is is that if they are capable

0:49:17.760 --> 0:49:20.520
<v Speaker 2>of empathy, they're probably capable of metaphor, and that we

0:49:20.560 --> 0:49:24.040
<v Speaker 2>could explain things to one another like prairie dogs do,

0:49:24.360 --> 0:49:30.719
<v Speaker 2>like yellow tall human inhabit getting getting ideas and concepts

0:49:30.719 --> 0:49:32.480
<v Speaker 2>across just enough for the other one to kind of

0:49:32.560 --> 0:49:34.759
<v Speaker 2>understand things that are totally foreign.

0:49:34.440 --> 0:49:38.960
<v Speaker 3>To them, or whaling ship nearby swim the other way exactly.

0:49:40.920 --> 0:49:44.320
<v Speaker 2>There was a I saw somebody theorize that you could

0:49:44.400 --> 0:49:48.879
<v Speaker 2>teach like a large language model to analyze and learn

0:49:48.960 --> 0:49:52.279
<v Speaker 2>to speak teach itself to speak whale. But because we

0:49:52.320 --> 0:49:57.760
<v Speaker 2>don't understand how large language models actually work, the AI

0:49:58.000 --> 0:50:00.359
<v Speaker 2>and the whale could have a conversation and we would

0:50:00.360 --> 0:50:02.239
<v Speaker 2>have no idea what they were seeing.

0:50:02.520 --> 0:50:04.279
<v Speaker 3>It's frightening, it is.

0:50:04.320 --> 0:50:07.759
<v Speaker 2>It's frightening, but it's also like wah wah, hilarious too,

0:50:07.880 --> 0:50:09.839
<v Speaker 2>Like imagine putting all that work into it and that's

0:50:09.880 --> 0:50:10.440
<v Speaker 2>the outcome.

0:50:10.560 --> 0:50:11.680
<v Speaker 3>Yeah, you'd have to.

0:50:11.600 --> 0:50:14.000
<v Speaker 2>Build another AI to tell you what the first, AI

0:50:14.200 --> 0:50:18.320
<v Speaker 2>is talking about let's do it cool, pretty neat stuff.

0:50:18.880 --> 0:50:22.480
<v Speaker 3>I agree, And I feel like we're not done with

0:50:22.520 --> 0:50:23.680
<v Speaker 3>this topic, you know what I mean?

0:50:23.920 --> 0:50:25.760
<v Speaker 4>Oh, okay, I think.

0:50:25.560 --> 0:50:28.759
<v Speaker 3>There's more more to come, all right. Oh, by the way,

0:50:29.000 --> 0:50:31.080
<v Speaker 3>there is a listener who is Did you see that

0:50:31.120 --> 0:50:35.480
<v Speaker 3>email that has grouped our stuff into uh tranches sweets?

0:50:35.760 --> 0:50:36.799
<v Speaker 2>No, I didn't see that one.

0:50:37.640 --> 0:50:39.560
<v Speaker 3>I'll make sure I'll forward it to you. I haven't

0:50:39.560 --> 0:50:42.240
<v Speaker 3>even answered him back yet, but his name is Robert Fiddler.

0:50:43.200 --> 0:50:48.360
<v Speaker 3>Ironically enough, because he's fiddling about with with our content

0:50:48.800 --> 0:50:52.680
<v Speaker 3>and he has created sweets and subsuitees a in a

0:50:52.960 --> 0:50:53.879
<v Speaker 3>spreadsheet for us.

0:50:54.000 --> 0:50:55.280
<v Speaker 2>That's awesome, Thanks Robert.

0:50:55.760 --> 0:51:02.000
<v Speaker 3>And it's she's looking over it. Justice system, police, true crime.

0:51:02.040 --> 0:51:05.840
<v Speaker 3>Those are the big ones. Economics, finance, atmospheric science, weird,

0:51:06.239 --> 0:51:09.200
<v Speaker 3>natural disasters, natural resources. Boy, this is amazing.

0:51:09.360 --> 0:51:09.600
<v Speaker 4>Yeah.

0:51:09.800 --> 0:51:11.680
<v Speaker 3>I haven't even really looked through it yet, but anyway,

0:51:11.840 --> 0:51:16.319
<v Speaker 3>shout out to He called himself Robbie, Robbie Fiddler. Yeah,

0:51:16.360 --> 0:51:18.040
<v Speaker 3>maybe we could publish it at some point or something

0:51:18.040 --> 0:51:18.720
<v Speaker 3>on our website.

0:51:18.760 --> 0:51:21.200
<v Speaker 2>Oh I have to copyright Robbie Fiddler.

0:51:21.560 --> 0:51:26.040
<v Speaker 3>Yeah, we'll see anyway, did you say you listener mail? No, Okay,

0:51:26.040 --> 0:51:28.120
<v Speaker 3>why don't you set me up then in the traditional way.

0:51:28.239 --> 0:51:30.719
<v Speaker 2>Chuck's feeling like the chatty Kathy, so that means it's

0:51:30.760 --> 0:51:31.799
<v Speaker 2>time for a listener mail.

0:51:34.840 --> 0:51:37.160
<v Speaker 3>There you go, Hey guys, I'm an eleven year old

0:51:37.200 --> 0:51:39.480
<v Speaker 3>Canadian living in Australia and we've been listening to your

0:51:39.480 --> 0:51:42.160
<v Speaker 3>show my whole life. My dad's tell me he would

0:51:42.160 --> 0:51:43.719
<v Speaker 3>listen to stuff you should know when cuddling me in

0:51:43.719 --> 0:51:45.720
<v Speaker 3>the middle of the night when I was just a bbe.

0:51:46.560 --> 0:51:48.520
<v Speaker 3>We love your podcast and hope you make many more

0:51:48.560 --> 0:51:50.360
<v Speaker 3>for many years to come. We hope to see a

0:51:50.400 --> 0:51:52.480
<v Speaker 3>live show soon. I love it when you guys do

0:51:52.560 --> 0:51:54.759
<v Speaker 3>mysteries because they're one of my favorite things to listen

0:51:54.840 --> 0:51:58.040
<v Speaker 3>to on your channel. You've expanded my imagination and creativity

0:51:58.080 --> 0:52:01.759
<v Speaker 3>and intelligence. Me and my get into big conversations about

0:52:01.760 --> 0:52:04.839
<v Speaker 3>your episodes because you're so intriguing, and we discuss what

0:52:04.880 --> 0:52:07.440
<v Speaker 3>we've learned and what we think. I'm just emailing you

0:52:07.480 --> 0:52:08.719
<v Speaker 3>to let you know that my dad and I are

0:52:08.719 --> 0:52:11.799
<v Speaker 3>traveling across a big chunk of Australia on a road

0:52:11.840 --> 0:52:15.680
<v Speaker 3>trip in July to see the Australian Zoo. My dad

0:52:15.680 --> 0:52:17.160
<v Speaker 3>has so many stuff you should know, just to listen

0:52:17.200 --> 0:52:19.319
<v Speaker 3>to in the way, and I'm really excited to listen

0:52:19.360 --> 0:52:22.400
<v Speaker 3>to the podcast and go to the zoo. Oh and

0:52:22.440 --> 0:52:25.000
<v Speaker 3>your jokes are pretty funny, but I make them even

0:52:25.040 --> 0:52:26.799
<v Speaker 3>funnier and we all have a good laugh.

0:52:27.280 --> 0:52:31.040
<v Speaker 2>Nice, he's playing off jokes. It's collaborative.

0:52:31.480 --> 0:52:35.160
<v Speaker 3>I love it. So that says love dictated but not

0:52:35.280 --> 0:52:37.600
<v Speaker 3>read from Reese.

0:52:38.160 --> 0:52:40.759
<v Speaker 2>Reese, You're pretty cool. I just have to say.

0:52:41.280 --> 0:52:44.200
<v Speaker 3>Yeah. And a little request from Reese, I imagine the

0:52:44.280 --> 0:52:47.080
<v Speaker 3>samed at you please do one more of the voice

0:52:47.280 --> 0:52:49.720
<v Speaker 3>from the last Halloween special. It's my dad's favorite.

0:52:49.800 --> 0:52:50.200
<v Speaker 1>Yeah.

0:52:50.440 --> 0:52:53.680
<v Speaker 3>I gotta think that Reese is talking about my friend Spiegel.

0:52:54.160 --> 0:52:57.000
<v Speaker 2>Yeah, I have to go back and listen to Sniegel

0:52:57.040 --> 0:53:01.799
<v Speaker 2>again because he apparently was off last time I tried it.

0:53:01.840 --> 0:53:02.719
<v Speaker 3>So I'm not sousy.

0:53:03.080 --> 0:53:07.160
<v Speaker 2>Yeah, from what I hear, all right, some people emailed

0:53:07.200 --> 0:53:08.839
<v Speaker 2>in and were like, that was not right.

0:53:09.840 --> 0:53:13.120
<v Speaker 3>All right, I'm shooting let down an eleven year old.

0:53:13.480 --> 0:53:14.480
<v Speaker 3>I'm fine if you're fine.

0:53:15.440 --> 0:53:16.839
<v Speaker 2>Yeah, I'm prepared to do that.

0:53:17.400 --> 0:53:17.759
<v Speaker 4>All right.

0:53:17.800 --> 0:53:20.279
<v Speaker 3>Well, just listen in recent Josh. I will brush up

0:53:20.280 --> 0:53:21.160
<v Speaker 3>on his smigle.

0:53:20.880 --> 0:53:23.600
<v Speaker 2>And eventually recent when I do it next, you can

0:53:23.600 --> 0:53:24.520
<v Speaker 2>be like that was for me.

0:53:25.120 --> 0:53:25.560
<v Speaker 3>Exactly.

0:53:25.719 --> 0:53:28.120
<v Speaker 2>Okay, Well, if you want to be like recent show

0:53:28.440 --> 0:53:32.040
<v Speaker 2>how super cool you are naturally without any effort whatsoever,

0:53:32.400 --> 0:53:34.839
<v Speaker 2>we would love to hear from you. You can send

0:53:34.880 --> 0:53:42.200
<v Speaker 2>it in an email to stuff podcast at iHeartRadio dot com.

0:53:42.360 --> 0:53:45.239
<v Speaker 3>Stuff you Should Know is a production of iHeartRadio. For

0:53:45.320 --> 0:53:48.040
<v Speaker 3>more podcasts my heart Radio, visit the iHeartRadio

0:53:48.080 --> 0:53:51.480
<v Speaker 1>App, Apple Podcasts, or wherever you listen to your favorite shows.