WEBVTT - Why do animals cooperate?

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<v Speaker 1>Howdy, Extraordinaries. Most of this episode is about social behavior

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<v Speaker 1>and cooperation in animals, and in particular human animals, but

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<v Speaker 1>towards the end we talk a little bit about cases

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<v Speaker 1>where humans and non human animals have not gotten the

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<v Speaker 1>love that they deserve early on in life, in the

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<v Speaker 1>implications of that for their behavior, which is a little

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<v Speaker 1>bit hard to hear, So just a heads up so

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<v Speaker 1>you can decide if you want to listen to the

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<v Speaker 1>last third of the episode or not. Thanks. Natural selection

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<v Speaker 1>doesn't exactly sound like the kind of mechanism that would

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<v Speaker 1>result in a lot of cooperation and snugly social behavior.

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<v Speaker 1>Let's imagine it. You take variation in some trait, say

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<v Speaker 1>differences in running speed, and link that trait to survival

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<v Speaker 1>and reproduction. And so imagine that running speed determines who

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<v Speaker 1>escapes from predators and then goes on to survive and

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<v Speaker 1>have babies. And if that trait is heritable, so if

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<v Speaker 1>the babies of fast parents are fast themselves, then you

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<v Speaker 1>have all the ingredients necessary for natural selection. Over time,

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<v Speaker 1>you'd expect that fast individuals survive and become more common,

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<v Speaker 1>while the slow individuals, well, they get eaten. That sounds

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<v Speaker 1>kind of cutthroat, Yet somehow we've still ended up in

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<v Speaker 1>a world where animals will call out to warn others

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<v Speaker 1>of a nearby predator, even if calling out increases the

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<v Speaker 1>risk that the predator goes after the caller in particular,

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<v Speaker 1>and honey bees will sting us to protect their hive mates.

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<v Speaker 1>Even though stinging us will pull out their stinger and

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<v Speaker 1>effectively disembowel the bee. They give their lives to protect

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<v Speaker 1>their buddies living inside the hive. So how did this

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<v Speaker 1>seemingly brutal mechanism give rise to so much cooperation and

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<v Speaker 1>helpful behavior. That's what we're going to talk about today.

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<v Speaker 1>Welcome to Daniel and Kelly's surprisingly cooperative universe.

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<v Speaker 2>Hi.

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<v Speaker 3>I'm Daniel. I'm a particle physicist, and I think people

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<v Speaker 3>are the most interesting thing in the universe and also

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<v Speaker 3>the most terrifying.

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<v Speaker 1>Oh hello, I'm Kelly. I study parasites and space and

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<v Speaker 1>I completely agree with Daniel's assessment, and at the end

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<v Speaker 1>of this episode when I describe human behavior, I will

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<v Speaker 1>try not to cry.

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<v Speaker 3>So my question for you today, Kelly is do you

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<v Speaker 3>consider yourself an introvert or an extrovert? And when did

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<v Speaker 3>you know?

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<v Speaker 1>Oh? Yeah, definitely an introvert. I think I hide it well,

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<v Speaker 1>but I very much enjoy hanging out with people. But

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<v Speaker 1>at the end of like a conference or something, I

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<v Speaker 1>will crawl into my bed and like just be absolutely exhausted.

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<v Speaker 1>And I get very nervous when I go in a

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<v Speaker 1>room and I have to like pick a group to

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<v Speaker 1>go hang out with because I assume that nobody really

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<v Speaker 1>wants to talk to me, And so I love situations

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<v Speaker 1>where people come up to talk to me because then

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<v Speaker 1>I don't feel like I'm putting anyone out. So if

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<v Speaker 1>you ever see me somewhere, feel free to come up

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<v Speaker 1>and talk to me, because that relieves the pressure on

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<v Speaker 1>me and makes me feel so much better. And I

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<v Speaker 1>don't know when I realized that. I think it was

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<v Speaker 1>probably in undergrad when I had to like start meeting people. Yeah,

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<v Speaker 1>I guess I don't know what about you.

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<v Speaker 3>I'm not sure how I would classify myself, because on

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<v Speaker 3>one hand, I feel the same way at the end

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<v Speaker 3>of a lot of socializing that like at a conference

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<v Speaker 3>when it was like, hey, let's go out to dinner

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<v Speaker 3>and I'm like, no, thank you. But also I find

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<v Speaker 3>that people are my best source of energy, you know,

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<v Speaker 3>if I go and teach in the classroom. I love

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<v Speaker 3>that engagement and the response. I love getting emails from listeners.

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<v Speaker 3>I love hanging out with friends, Like moments laughing with

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<v Speaker 3>your friends are more enjoyable than anything you could ever

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<v Speaker 3>do by yourself. Yeah, and so people are like the

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<v Speaker 3>greatest mystery and source of joy and happiness in the universe.

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<v Speaker 3>And also they are completely exhausting.

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<v Speaker 4>Yeah.

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<v Speaker 3>So I'm not sure where that puts me on the spectrum.

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<v Speaker 1>Maybe we're exo introverts intro exoverts. Because I agree, I like,

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<v Speaker 1>I also really look forward to going to conferences because

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<v Speaker 1>I cannot wait to see the people at conferences and

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<v Speaker 1>hear about how they were doing and laugh about stuff

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<v Speaker 1>and find out if they purposefully infected themselves with any

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<v Speaker 1>parasites in the last year, and you know, all that stuff.

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<v Speaker 1>But you know, on the other hand, at the end

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<v Speaker 1>of the day, I am also like.

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<v Speaker 3>I need to see Yeah, exactly. Well, today we are

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<v Speaker 3>not just telling personnel stories. We are talking about the

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<v Speaker 3>larger question of human being behavior. Why do people act

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<v Speaker 3>the way they do? Is it driven by evolution or

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<v Speaker 3>something else? Even weirder, and today's episode is inspired by

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<v Speaker 3>a question we got from an eleven year.

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<v Speaker 1>Old, didn't we Actually they're thirteen years old now and

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<v Speaker 1>they are the child of some friends of mine, and

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<v Speaker 1>I was super excited to get their questions. So let's

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<v Speaker 1>go ahead and listen to it.

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<v Speaker 5>Hi, Daniel and Kelly, I love your podcast, And I

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<v Speaker 5>have a question why did humans evolve to be social?

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<v Speaker 5>And why do we go crazy if we're isolated for

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<v Speaker 5>too long? I also want to know what happened at

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<v Speaker 5>the human related it's whole life without having contact with

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<v Speaker 5>other humans, and why could some animals like whales go

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<v Speaker 5>for so long without having contact with other whales but

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<v Speaker 5>humans can, thanks, all right?

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<v Speaker 3>So on one hand, this is a really fun question,

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<v Speaker 3>but also a really deep question about evolution, because like

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<v Speaker 3>the whole foundation of modern biology is evolution and natural selection,

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<v Speaker 3>and things are the way they are because of this process,

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<v Speaker 3>and that forces us to think about everything we see

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<v Speaker 3>through that lens. But it can sometimes be hard to

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<v Speaker 3>understand how something evolved to exist. You know, you have

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<v Speaker 3>the examples of the eye and stuff, but human behavior

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<v Speaker 3>is a great example. So tell us, Kelly, how do

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<v Speaker 3>you interpret this question.

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<v Speaker 1>Well, I'll be honest, I kind of put this question

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<v Speaker 1>off for a while because I was like, Okay, I'm

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<v Speaker 1>going to I'll look it up real quick and see, like,

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<v Speaker 1>you know, what are people saying these days? And generally

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<v Speaker 1>the answer I found was, oh, well, humans are social

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<v Speaker 1>because it benefited us in our evolutionary past. And I

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<v Speaker 1>was like, yeah, okay, well yeah, but how and like

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<v Speaker 1>there's got to be a richer answer to that. But

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<v Speaker 1>there was generally not a much richer answer. And I

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<v Speaker 1>think at the end of the day, it's hard to

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<v Speaker 1>know for a particular species why a behavior arose, in

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<v Speaker 1>part because behaviors don't leave fossils. But at the end,

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<v Speaker 1>I'm going to try to give a much better answer.

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<v Speaker 1>But I thought that we could start by taking a

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<v Speaker 1>look at why we think we see cooperation and social

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<v Speaker 1>behavior in general in animals at all, because actually that's

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<v Speaker 1>a little bit of a Darwinian puzzle.

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<v Speaker 3>Yeah, I agree, it's really a fascinating question. On one hand,

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<v Speaker 3>it seems like maybe it's simple because people learn to

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<v Speaker 3>cooperate because that's more effective. But if everybody else is cooperating,

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<v Speaker 3>then like the one jerk who's like lazy and then

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<v Speaker 3>just steals the results of the mammoth hunt is going

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<v Speaker 3>to benefit. So it's not obvious why cooperation is always

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<v Speaker 3>a successful strategy. That's how you have to think about.

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<v Speaker 1>It, right, yeah, right, exactly. So in order for natural

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<v Speaker 1>selection to happen, you have to have variation in a trait. So,

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<v Speaker 1>for example, maybe you have variation in speediness, and then

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<v Speaker 1>that variation needs to be important for survival and reproduction.

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<v Speaker 1>So maybe the faster individuals are able to run away

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<v Speaker 1>from the predator and then they survive to reproduce, right,

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<v Speaker 1>and that trait needs to be passed from parents to offspring,

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<v Speaker 1>So the faster parents makes faster offspring, and over time

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<v Speaker 1>you end up with faster individuals in the population, and

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<v Speaker 1>the genes that produce faster individuals become more common in

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<v Speaker 1>the population. And that doesn't necessarily sound like a mechanism

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<v Speaker 1>that would result in more like hugs and cooperation. That

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<v Speaker 1>seems like a bit of a cutthroat thing. You know,

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<v Speaker 1>if you are faster and better able to get away

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<v Speaker 1>from the predators, are better able to secure the food,

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<v Speaker 1>then you're the one who gets to reproduce and you're

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<v Speaker 1>the one who, you know, gets to pass your genes

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<v Speaker 1>to the next generation. But when when look out in

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<v Speaker 1>nature we see tons of cooperation. So you know, for example,

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<v Speaker 1>honey bees, if you walk up to a honeybee nest okay,

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<v Speaker 1>and you disturb the nest, do not recommend a honey

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<v Speaker 1>bee will come out and they'll sting you. And they've

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<v Speaker 1>got these barbed stingers that get stuck in your skin,

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<v Speaker 1>and so the stinger will stay behind and the venom

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<v Speaker 1>gland and like the insides of the honey bee will

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<v Speaker 1>get pulled out of the bee. The bee will get

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<v Speaker 1>disemboweled and will die to protect its hive mates. And

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<v Speaker 1>so that bee is giving its life to protect the

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<v Speaker 1>rest of the hive. And we see ants that are

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<v Speaker 1>willing to, for example, like plug the whole of a

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<v Speaker 1>nest overnight, even though the temperature is going to kill

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<v Speaker 1>them overnight. They give their lives to like protect the

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<v Speaker 1>temperature for the rest of their hivemates. And we see

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<v Speaker 1>just loads of examples of animals dying for you know,

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<v Speaker 1>their buddies, and you know, why does that happen?

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<v Speaker 3>And so this is a great analogy, for example, to

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<v Speaker 3>like soldiers dying in a war. Right, they're not going

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<v Speaker 3>to be around to experience the benefits of victory, and

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<v Speaker 3>yet they give up their lives. But then it's always

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<v Speaker 3>easier to understand these things in terms of like ants

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<v Speaker 3>and bees because you can actually do experiments on them ethically. Right, Yes,

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<v Speaker 3>so what do we know about why honey bees act altruistically?

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<v Speaker 3>Is it because they have like more sophisticated genetic relationships

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<v Speaker 3>among themselves and with their queens or what's the story?

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<v Speaker 1>Yes, absolutely so that is part of it. But first

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<v Speaker 1>I want to dig down a little bit more and

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<v Speaker 1>clarify what level we think evolution is happening at. Evolution

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<v Speaker 1>at the end of the day, is just changes in

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<v Speaker 1>gene frequencies over time. So when we were talking about

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<v Speaker 1>natural selection happening for fastness, like being able to run

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<v Speaker 1>away from the predators, evolution happening there, you'd end up

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<v Speaker 1>with a higher frequency of the types of genes that

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<v Speaker 1>are associated with moving quickly. So over time, the versions

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<v Speaker 1>of the genes for slow individuals go away and you

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<v Speaker 1>get more of the versions of the genes for fast individuals.

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<v Speaker 1>Does that make sense?

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<v Speaker 3>It does make sense, But it sounds like you're choosing

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<v Speaker 3>this set of words gene frequencies changing over time through

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<v Speaker 3>natural selection very specifically, maybe in contrast to something you

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<v Speaker 3>imagine is in the minds of the listeners or a

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<v Speaker 3>general misunderstanding of evolution. What are you contrasting this with, Well.

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<v Speaker 1>So I'm eventually going to make the point that individuals

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<v Speaker 1>are the ones who are carrying these genes around, and

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<v Speaker 1>selection is going to be happening at the level of

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<v Speaker 1>individuals and not the level of groups.

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<v Speaker 3>I see. So it's not like evolution is this like

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<v Speaker 3>mastermind guiding some species towards some predetermined goal or something.

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<v Speaker 3>It's just a bunch of individuals changing over time.

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<v Speaker 1>Yeah, it's a frequency of genes that are found in

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<v Speaker 1>a population, and those genes are carried by individuals that

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<v Speaker 1>some of which will die and some of which will not.

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<v Speaker 1>All right, yeah, okay, so individuals are carrying around these genes.

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<v Speaker 1>And then in the nineteen sixties there was this guy,

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<v Speaker 1>when Edwards, who was arguing that selection might be happening

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<v Speaker 1>at the level of like groups, or maybe even at

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<v Speaker 1>the level of species, and this idea kind of makes sense. So, like,

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<v Speaker 1>you know, you look around and there's for example, maybe

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<v Speaker 1>rodents having two babies each, and you might say, oh, okay,

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<v Speaker 1>two babies, that's not a lot of babies. Maybe what

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<v Speaker 1>they're doing is they're trying to not eat all of

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<v Speaker 1>the seeds. They're trying to make sure that they don't

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<v Speaker 1>over exploit the seeds for the good of the species.

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<v Speaker 1>They want to make sure that they're able to survive

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<v Speaker 1>for many generations.

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<v Speaker 3>What considerate and well organized rote.

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<v Speaker 1>Yes, yes, you know, maybe we should take some lessons

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<v Speaker 1>from their behavior, but unfortunately it turns out that we

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<v Speaker 1>don't actually usually see group selection being a good explanation

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<v Speaker 1>for what animals are doing in the wild. So imagine

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<v Speaker 1>you did have like a population of individuals who were

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<v Speaker 1>very responsible rodents and were limiting themselves to two babies

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<v Speaker 1>each because they didn't want to over exploit the seeds.

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<v Speaker 1>And then you had a mutation in a gene, and

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<v Speaker 1>a selfish gene popped up. Okay, and those parents six babies.

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<v Speaker 1>The jerk rats had six babies, and there's all these

0:12:23.920 --> 0:12:27.000
<v Speaker 1>extra seeds because everybody else is being responsible, and so

0:12:27.080 --> 0:12:29.720
<v Speaker 1>all of their babies survive. And they also got the

0:12:29.840 --> 0:12:32.400
<v Speaker 1>jerk gene, and so they have six babies too.

0:12:32.679 --> 0:12:34.040
<v Speaker 3>Dominion of the jerk rats.

0:12:34.440 --> 0:12:37.520
<v Speaker 1>Dominion of the jerk rats exactly. So over time, that

0:12:37.679 --> 0:12:41.439
<v Speaker 1>selfish gene is going to pass through the population. You're

0:12:41.440 --> 0:12:42.800
<v Speaker 1>going to end up with a lot more of this

0:12:42.920 --> 0:12:43.680
<v Speaker 1>jerk gene.

0:12:43.840 --> 0:12:47.320
<v Speaker 3>So does this argue against when Edward's idea of evolution

0:12:47.640 --> 0:12:48.800
<v Speaker 3>at the population level.

0:12:49.040 --> 0:12:51.880
<v Speaker 1>Yes, it does. And so just about whenever we look

0:12:52.360 --> 0:12:54.679
<v Speaker 1>when we go out into nature, we see that animals

0:12:54.720 --> 0:12:56.680
<v Speaker 1>are trying to have as many babies as they can,

0:12:56.800 --> 0:12:59.959
<v Speaker 1>maybe not in a particular season, but across their entire lifetime.

0:13:00.480 --> 0:13:03.040
<v Speaker 1>We don't see much evidence of individuals sort of doing

0:13:03.120 --> 0:13:05.360
<v Speaker 1>things for the good of the species. Most of the

0:13:05.360 --> 0:13:07.000
<v Speaker 1>evidence we find is that they're doing it for the

0:13:07.000 --> 0:13:10.760
<v Speaker 1>good of themselves. And we think that's because selfish strategies

0:13:10.800 --> 0:13:14.880
<v Speaker 1>could easily invade populations where everyone's you know, trying to

0:13:14.880 --> 0:13:16.560
<v Speaker 1>do things for the good of the species. That's just

0:13:16.640 --> 0:13:20.400
<v Speaker 1>a strategy that's very easy to invade by more selfish behaviors.

0:13:20.640 --> 0:13:24.000
<v Speaker 3>This is a cool test because the cooperative strategy is

0:13:24.040 --> 0:13:27.960
<v Speaker 3>actually more successful. Right, if nobody's a jerk, everybody does better.

0:13:28.280 --> 0:13:31.439
<v Speaker 3>It's sort of a prisoner's dilemma situation. But if everybody

0:13:31.480 --> 0:13:34.720
<v Speaker 3>else is cooperating and you're the jerk, then you individually

0:13:34.800 --> 0:13:37.680
<v Speaker 3>win out and then your babies dominate the future. Yes,

0:13:37.880 --> 0:13:41.240
<v Speaker 3>and so if you were operating at a population level,

0:13:41.440 --> 0:13:43.640
<v Speaker 3>you would definitely choose no jerks.

0:13:43.920 --> 0:13:44.079
<v Speaker 5>Yeah.

0:13:44.120 --> 0:13:44.320
<v Speaker 2>Yeah.

0:13:44.320 --> 0:13:46.280
<v Speaker 1>If selection was acting at the level of the group,

0:13:46.320 --> 0:13:48.360
<v Speaker 1>then maybe that would be better for everybody, but we

0:13:48.400 --> 0:13:50.840
<v Speaker 1>don't see evidence of that happening. And additionally, like even

0:13:50.840 --> 0:13:53.000
<v Speaker 1>if you could get a group of individuals to be

0:13:53.160 --> 0:13:57.960
<v Speaker 1>like super nice and everybody cooperates, usually we see migration

0:13:58.080 --> 0:14:01.640
<v Speaker 1>between groups because they don't usually exist completely in isolation.

0:14:02.080 --> 0:14:04.599
<v Speaker 1>So if you had a jerk group, you know, a

0:14:04.679 --> 0:14:08.240
<v Speaker 1>little north of you, some jerks might move south and

0:14:08.280 --> 0:14:12.319
<v Speaker 1>invade your population. And since you've left all these resources unexploited,

0:14:12.320 --> 0:14:14.400
<v Speaker 1>they're going to come in and sort of mess everything

0:14:14.440 --> 0:14:15.520
<v Speaker 1>up for everybody else.

0:14:15.840 --> 0:14:17.040
<v Speaker 3>Those northern jerks.

0:14:17.080 --> 0:14:20.240
<v Speaker 1>Every time time I know, I'm looking at you, Canada,

0:14:20.720 --> 0:14:24.200
<v Speaker 1>I'm just kidding. Canadians are way nicer. We should have

0:14:24.200 --> 0:14:25.000
<v Speaker 1>done it in reverse.

0:14:25.480 --> 0:14:27.080
<v Speaker 3>Oh, now you're offending the Mexicans.

0:14:27.760 --> 0:14:30.400
<v Speaker 1>Oh no, no, no, I meant it's the Americans ruining

0:14:30.440 --> 0:14:32.640
<v Speaker 1>things for the Canadians, is what I was saying. No, no, no, no,

0:14:35.080 --> 0:14:38.000
<v Speaker 1>don't get me wrong. Okay, So there are some arguments

0:14:38.000 --> 0:14:40.400
<v Speaker 1>still that there could be some situations where it makes

0:14:40.440 --> 0:14:43.080
<v Speaker 1>sense to think about selection from a group or a

0:14:43.120 --> 0:14:46.560
<v Speaker 1>species level, But I think in general, we think that

0:14:46.960 --> 0:14:49.000
<v Speaker 1>most of the time selection is happening at the level

0:14:49.040 --> 0:14:51.480
<v Speaker 1>of the individual and that you can, you know, get

0:14:51.520 --> 0:14:53.720
<v Speaker 1>away with not thinking about group selection most of the time.

0:14:53.840 --> 0:14:56.320
<v Speaker 3>And this is true for behavior and also for more

0:14:56.360 --> 0:14:59.200
<v Speaker 3>like mechanical traits like cheetah's running fast and stuff.

0:14:59.560 --> 0:15:03.160
<v Speaker 1>Yes, okay, okay, And actually I bought a recent animal

0:15:03.160 --> 0:15:05.160
<v Speaker 1>behavior textbook because that's what I learned in like the

0:15:05.240 --> 0:15:06.880
<v Speaker 1>early two thousands, and I was like, I just want

0:15:06.880 --> 0:15:08.640
<v Speaker 1>to be one hundred percent chore that this is what

0:15:08.680 --> 0:15:10.360
<v Speaker 1>everybody still says and it is.

0:15:10.560 --> 0:15:13.280
<v Speaker 3>So then you're telling me that you can't choose behavior

0:15:13.320 --> 0:15:15.880
<v Speaker 3>based at the population level, like hey, everybody be nice

0:15:16.000 --> 0:15:19.360
<v Speaker 3>or everybody like to have go to parties or whatever.

0:15:19.920 --> 0:15:22.560
<v Speaker 3>And so in that case, how do we get things

0:15:22.640 --> 0:15:27.960
<v Speaker 3>like altruism or social behavior if natural selection acts only

0:15:28.000 --> 0:15:28.920
<v Speaker 3>on individuals.

0:15:29.120 --> 0:15:31.240
<v Speaker 1>That's the puzzle, right, Yeah, that is the puzzle. Okay.

0:15:31.240 --> 0:15:33.560
<v Speaker 1>So we're going to talk about three or four different

0:15:33.560 --> 0:15:36.200
<v Speaker 1>ways that we think you can get it by individual

0:15:36.360 --> 0:15:39.880
<v Speaker 1>level selection. Oh all right, So the first way is

0:15:39.880 --> 0:15:43.280
<v Speaker 1>what we call kin selection. This is an idea by

0:15:43.280 --> 0:15:45.680
<v Speaker 1>William Hamilton. It was proposed in the sixties, and the

0:15:45.760 --> 0:15:50.040
<v Speaker 1>idea is that you've got genes for particular traits, and

0:15:50.560 --> 0:15:54.040
<v Speaker 1>you can get those genes passed from one generation to

0:15:54.080 --> 0:15:58.600
<v Speaker 1>another by having your own babies directly, but you can

0:15:58.720 --> 0:16:02.800
<v Speaker 1>also increase the frequency of those genes by doing things

0:16:02.880 --> 0:16:06.960
<v Speaker 1>like helping out your brother, and so that indirectly increases

0:16:07.000 --> 0:16:11.240
<v Speaker 1>your fitness because you probably share about fifty percent of

0:16:11.280 --> 0:16:14.800
<v Speaker 1>your genes by descent because you come from the same parents.

0:16:15.280 --> 0:16:17.760
<v Speaker 1>And you know, for example, if you're a diploid organism,

0:16:17.760 --> 0:16:21.600
<v Speaker 1>so humans are diploid organisms, that means we have two chromosomes.

0:16:21.880 --> 0:16:24.160
<v Speaker 1>We got fifty percent of our genes from our mom,

0:16:24.200 --> 0:16:26.600
<v Speaker 1>fifty percent of our genes from our dad, and just

0:16:26.680 --> 0:16:30.280
<v Speaker 1>by random chance, you and a sibling probably share about

0:16:30.360 --> 0:16:33.160
<v Speaker 1>fifty percent of the versions of the genes that you

0:16:33.280 --> 0:16:35.080
<v Speaker 1>have in your body. Does that make sense?

0:16:35.600 --> 0:16:38.640
<v Speaker 3>Yes, So basically, I have a big nose. My brother

0:16:38.720 --> 0:16:41.480
<v Speaker 3>is a big nose. If I help my brother's kids,

0:16:41.560 --> 0:16:44.560
<v Speaker 3>then I'm increasing the big nose fraction of future generation.

0:16:44.760 --> 0:16:47.840
<v Speaker 3>So I'm not really being altruistic by helping people who

0:16:47.840 --> 0:16:49.840
<v Speaker 3>are not my direct offspring.

0:16:49.840 --> 0:16:53.040
<v Speaker 1>As long as they're related to you. Yeah, yes, right right, yeah,

0:16:53.040 --> 0:16:54.120
<v Speaker 1>as long as they're related.

0:16:54.360 --> 0:16:55.760
<v Speaker 3>That's why it's called kin selection.

0:16:55.880 --> 0:16:58.040
<v Speaker 1>I guess, yes, exactly right, and so are there's some

0:16:58.120 --> 0:17:00.480
<v Speaker 1>predictions that come from this. You should care about how

0:17:00.520 --> 0:17:03.800
<v Speaker 1>closely related people are to you, and so for example,

0:17:03.800 --> 0:17:06.520
<v Speaker 1>you should be more likely to help a brother or

0:17:06.560 --> 0:17:09.600
<v Speaker 1>a sister, and you should be, you know, sort of

0:17:09.960 --> 0:17:13.040
<v Speaker 1>willing to help like a half sibling or a cousin.

0:17:13.280 --> 0:17:14.520
<v Speaker 3>Depends how big their nose is.

0:17:14.560 --> 0:17:20.560
<v Speaker 1>Actually that's maybe, that's right. Depends on the gene. But

0:17:20.600 --> 0:17:22.840
<v Speaker 1>you know, for example, if you imagine that there is

0:17:22.880 --> 0:17:27.040
<v Speaker 1>a gene out there for altruism, and that gene does

0:17:27.080 --> 0:17:29.679
<v Speaker 1>make you more likely to help out other members of

0:17:29.720 --> 0:17:32.640
<v Speaker 1>your family, then you can imagine that that gene would

0:17:32.680 --> 0:17:36.120
<v Speaker 1>pass through a population if family members are helping each other.

0:17:36.600 --> 0:17:40.080
<v Speaker 1>And so there's this fameless quote by a scientist named

0:17:40.200 --> 0:17:43.159
<v Speaker 1>JBS Haldane and he was asked, would you save a

0:17:43.240 --> 0:17:46.040
<v Speaker 1>drowning brother if it risked your own life? And he

0:17:46.080 --> 0:17:49.840
<v Speaker 1>said no, but I would save two brothers or eight

0:17:49.920 --> 0:17:52.080
<v Speaker 1>cousins because.

0:17:53.560 --> 0:17:55.000
<v Speaker 3>And mathematically that checks out.

0:17:55.200 --> 0:17:57.000
<v Speaker 1>That's right, that's right. And so whether or not you

0:17:57.040 --> 0:17:59.479
<v Speaker 1>should engage in a behavior that helps out your family

0:17:59.480 --> 0:18:02.800
<v Speaker 1>members to some extent depends on how closely related they

0:18:02.840 --> 0:18:05.240
<v Speaker 1>are to you. How much the cost would be to

0:18:05.280 --> 0:18:08.679
<v Speaker 1>yourself and how much they would benefit. And so you

0:18:08.680 --> 0:18:12.439
<v Speaker 1>should expect to see altruistic behaviors arising a mon closely

0:18:12.440 --> 0:18:15.520
<v Speaker 1>related individuals if it's going to result in, for example,

0:18:15.560 --> 0:18:18.439
<v Speaker 1>your siblings having more kids that are going to carry

0:18:18.440 --> 0:18:20.240
<v Speaker 1>some of the genes that you would find in yourself.

0:18:20.560 --> 0:18:23.480
<v Speaker 1>And so maybe you're not having as many kids personally,

0:18:23.920 --> 0:18:26.520
<v Speaker 1>but if your siblings are having loads of additional kids,

0:18:26.560 --> 0:18:29.480
<v Speaker 1>then your genes are still getting out there, and so indirectly,

0:18:29.920 --> 0:18:32.440
<v Speaker 1>your fitness is doing great, and so maybe we see

0:18:32.440 --> 0:18:37.040
<v Speaker 1>altruism happening because selfishly, that still helps your genes pass

0:18:37.520 --> 0:18:38.640
<v Speaker 1>through the environment.

0:18:38.760 --> 0:18:40.639
<v Speaker 3>All right, So just to make sure I understand, we

0:18:40.680 --> 0:18:43.800
<v Speaker 3>started out wondering why would anybody die for other members

0:18:43.800 --> 0:18:45.879
<v Speaker 3>of the population, And this seems like to me a

0:18:45.920 --> 0:18:48.840
<v Speaker 3>partial answer, because it doesn't suggest you would die for

0:18:48.920 --> 0:18:51.320
<v Speaker 3>any member of the population, but it tells you that

0:18:51.400 --> 0:18:55.000
<v Speaker 3>you might sacrifice yourself for people you're related to who

0:18:55.040 --> 0:18:58.280
<v Speaker 3>are not directly your offspring. Yes, exactly, And that to

0:18:58.320 --> 0:19:01.239
<v Speaker 3>me described as sort of like limited local altruism that

0:19:01.280 --> 0:19:03.320
<v Speaker 3>like falls off with the size of the nose of

0:19:03.359 --> 0:19:06.760
<v Speaker 3>people in your family. But then you added this twist

0:19:06.800 --> 0:19:10.800
<v Speaker 3>about a gene for altruism itself, right, because this doesn't

0:19:10.800 --> 0:19:13.800
<v Speaker 3>require a gene for altruism. You just support people who

0:19:13.960 --> 0:19:15.960
<v Speaker 3>have enough genes that overlap with you.

0:19:16.560 --> 0:19:19.960
<v Speaker 1>Yes, but you could imagine that a gene for altruism

0:19:19.960 --> 0:19:22.880
<v Speaker 1>would be how you get this trait to pass from

0:19:22.920 --> 0:19:25.080
<v Speaker 1>family member to family member to family member.

0:19:25.240 --> 0:19:27.879
<v Speaker 3>Oh, I see, yeah, The gene for altruism helps you

0:19:27.960 --> 0:19:29.480
<v Speaker 3>recognize that this is beneficial.

0:19:29.840 --> 0:19:32.960
<v Speaker 1>It helps make sure that the trait passes in families

0:19:33.000 --> 0:19:33.879
<v Speaker 1>and is maintained.

0:19:34.680 --> 0:19:35.960
<v Speaker 3>I see, all right.

0:19:35.960 --> 0:19:38.160
<v Speaker 1>And we have some examples of this. So, for example,

0:19:38.440 --> 0:19:42.400
<v Speaker 1>there are these squirrels that you find in California building's

0:19:42.440 --> 0:19:45.720
<v Speaker 1>ground squirrels, and the females tend to stay in the

0:19:45.760 --> 0:19:47.919
<v Speaker 1>areas where they were born, whereas the males tend to

0:19:47.960 --> 0:19:51.280
<v Speaker 1>go away. And so if you're a female, your sisters

0:19:51.280 --> 0:19:53.520
<v Speaker 1>are likely to be nearby, your aunts are likely to

0:19:53.520 --> 0:19:56.320
<v Speaker 1>be nearby. And what they find is that the females

0:19:56.359 --> 0:19:58.960
<v Speaker 1>are more likely to call when there's a predator around.

0:19:59.040 --> 0:20:01.600
<v Speaker 1>And so when a predator's around, they call, and then

0:20:01.680 --> 0:20:04.600
<v Speaker 1>their sisters and their aunts, maybe their mom and even

0:20:04.640 --> 0:20:07.960
<v Speaker 1>their kids go and hide in their burrows. But when

0:20:07.960 --> 0:20:11.000
<v Speaker 1>you call, you also increase the probability that the coyote

0:20:11.040 --> 0:20:14.000
<v Speaker 1>goes after you because you've drawn its attention. So it's

0:20:14.000 --> 0:20:16.840
<v Speaker 1>a risky behavior that has a cost. But they've also

0:20:16.960 --> 0:20:19.960
<v Speaker 1>found that females will call even if none of their

0:20:19.960 --> 0:20:22.439
<v Speaker 1>own kids are around, so it's not just a direct

0:20:22.480 --> 0:20:26.120
<v Speaker 1>fitness thing. They will call to help their aunts get

0:20:26.160 --> 0:20:28.200
<v Speaker 1>out of the way or some or their sisters get

0:20:28.240 --> 0:20:29.600
<v Speaker 1>out of the way. So it looks like they're also

0:20:29.640 --> 0:20:32.840
<v Speaker 1>willing to take a cost to get an indirect fitness benefit,

0:20:32.920 --> 0:20:34.439
<v Speaker 1>so to help their sisters and stuff.

0:20:34.960 --> 0:20:38.840
<v Speaker 3>So females without any kids of their own still raise

0:20:38.920 --> 0:20:41.439
<v Speaker 3>the alarm, putting themselves at risk even though they have

0:20:41.520 --> 0:20:45.080
<v Speaker 3>no offspring. That's fascinating. Are squirrels smart enough to do

0:20:45.119 --> 0:20:48.439
<v Speaker 3>this calculation of the little jbs haldines adding up like

0:20:48.560 --> 0:20:50.639
<v Speaker 3>you know, fractions and cousins and stuff.

0:20:50.800 --> 0:20:53.280
<v Speaker 1>Yeah, that's a great question. So I think they really

0:20:53.359 --> 0:20:57.239
<v Speaker 1>just need to know, like, Okay, I was raised with uh,

0:20:57.280 --> 0:20:58.679
<v Speaker 1>so you know, for example, they were raised in a

0:20:58.720 --> 0:21:01.240
<v Speaker 1>nest with their sisters, and so they don't necessarily have

0:21:01.280 --> 0:21:03.520
<v Speaker 1>to be like, all right, I've got three sisters out here,

0:21:03.680 --> 0:21:06.639
<v Speaker 1>I'm fifty percent related to all of them. So that's

0:21:06.720 --> 0:21:09.040
<v Speaker 1>point five plus point five plus point five, that's one

0:21:09.119 --> 0:21:12.439
<v Speaker 1>point five. So that's more than just me. So you know,

0:21:12.480 --> 0:21:15.040
<v Speaker 1>they don't necessarily have to do those calculations. They just

0:21:15.119 --> 0:21:17.800
<v Speaker 1>have to, like, you know, have some affiliative feeling for

0:21:17.840 --> 0:21:20.399
<v Speaker 1>the individuals that they were raised in a nest with

0:21:20.800 --> 0:21:23.160
<v Speaker 1>and be willing to call. And so maybe the genes

0:21:23.640 --> 0:21:27.800
<v Speaker 1>that are being passed aren't necessarily like altruism genes. They're

0:21:27.840 --> 0:21:31.640
<v Speaker 1>just genes for you know, having like a nice feeling

0:21:31.960 --> 0:21:33.800
<v Speaker 1>about the people that you were raised in a nest

0:21:33.920 --> 0:21:35.480
<v Speaker 1>or you know, the squirrels you were raised in a

0:21:35.520 --> 0:21:37.440
<v Speaker 1>nest with and being willing to call if you think

0:21:37.440 --> 0:21:38.520
<v Speaker 1>that they're in danger.

0:21:38.560 --> 0:21:41.359
<v Speaker 3>Or does it work even if it's more instinctive, like

0:21:41.400 --> 0:21:45.560
<v Speaker 3>if every female squirrel responds to a predator with a call,

0:21:45.840 --> 0:21:48.600
<v Speaker 3>than in general that increases the fitness and the whole population,

0:21:48.680 --> 0:21:52.040
<v Speaker 3>including their own, and then that gene tends to survive.

0:21:52.480 --> 0:21:55.080
<v Speaker 1>Is that a reasonable argument, Well, there is evidence that

0:21:55.240 --> 0:21:58.520
<v Speaker 1>females are less likely to call if they are surrounded

0:21:58.520 --> 0:22:01.159
<v Speaker 1>by females they are not related to. Oh wow, so

0:22:01.200 --> 0:22:04.679
<v Speaker 1>they will withhold calling when they're not around family members.

0:22:04.800 --> 0:22:07.600
<v Speaker 3>So it's really context dependent. They are doing fractions in

0:22:07.640 --> 0:22:09.800
<v Speaker 3>their head. When deciding whether to save your.

0:22:09.680 --> 0:22:13.600
<v Speaker 1>Life, they are at least deciding are there people who

0:22:13.680 --> 0:22:15.919
<v Speaker 1>were at the last family reunion or not?

0:22:16.760 --> 0:22:18.040
<v Speaker 3>What did they bring to the pot luck?

0:22:18.280 --> 0:22:20.240
<v Speaker 1>That's right, that's right. And if you didn't bring enough,

0:22:20.760 --> 0:22:24.560
<v Speaker 1>I'm not gonna call that coyote, can have you for dinner.

0:22:24.720 --> 0:22:27.480
<v Speaker 3>I know that akon casserole didn't pass muster, and so

0:22:27.640 --> 0:22:28.920
<v Speaker 3>I'm sorry.

0:22:31.600 --> 0:22:34.080
<v Speaker 1>Okay, let's take a break, and when we get back,

0:22:34.080 --> 0:22:36.879
<v Speaker 1>we're going to return to the honey bees and the

0:22:36.920 --> 0:22:39.919
<v Speaker 1>insects that Daniel asked about like fifteen minutes ago. And

0:22:39.920 --> 0:22:41.359
<v Speaker 1>I was like, oh, get right back to it, and

0:22:41.400 --> 0:22:57.960
<v Speaker 1>then I didn't.

0:23:02.760 --> 0:23:05.000
<v Speaker 3>All right, we're back, and we're answering a question from

0:23:05.000 --> 0:23:08.560
<v Speaker 3>a listener about how behaviors can evolve and a broader

0:23:08.640 --> 0:23:13.440
<v Speaker 3>question about altruism in evolution. So tell me about insects.

0:23:13.840 --> 0:23:17.119
<v Speaker 3>Why do bees give up their lives for their fellow bees?

0:23:17.520 --> 0:23:20.800
<v Speaker 1>Yeah, so, in particular, we're talking about hymenopteran insects, and

0:23:20.880 --> 0:23:24.399
<v Speaker 1>hymenoptrans are like the bees and the ants and stuff

0:23:24.440 --> 0:23:27.919
<v Speaker 1>like that, and the wasps and these have some of

0:23:27.960 --> 0:23:33.520
<v Speaker 1>the most amazing examples of hymenopterans. Oh yeah, you'd ask that.

0:23:33.880 --> 0:23:37.760
<v Speaker 3>Well, it's just it has an interesting prefix.

0:23:39.000 --> 0:23:42.720
<v Speaker 1>So hymen is Greek for membrane and turin is wing,

0:23:43.040 --> 0:23:44.280
<v Speaker 1>and so they have wing membranes.

0:23:45.320 --> 0:23:48.719
<v Speaker 3>Got it. Okay, Yeah, so membrane. That's a great answer.

0:23:48.800 --> 0:23:52.760
<v Speaker 1>Yeah, thanks. Okay. So they have a really interesting sort

0:23:52.800 --> 0:23:55.159
<v Speaker 1>of system for determining whether or not they end up

0:23:55.160 --> 0:23:57.200
<v Speaker 1>being males or females. And we talked about this a

0:23:57.240 --> 0:24:00.920
<v Speaker 1>little bit in the Listener Questions episode. But briefly, males

0:24:01.040 --> 0:24:04.480
<v Speaker 1>are haploid, which means they only get one set of

0:24:04.520 --> 0:24:09.639
<v Speaker 1>genetic information, so they develop from unfertilized eggs. So females

0:24:09.680 --> 0:24:12.200
<v Speaker 1>will not mate with males, they'll just lay an egg.

0:24:12.320 --> 0:24:14.960
<v Speaker 1>It will have one set of chromosomes instead of two,

0:24:16.080 --> 0:24:20.480
<v Speaker 1>whereas females will get two sets of chromosomes. And so

0:24:20.680 --> 0:24:24.320
<v Speaker 1>when a daughter is born, she gets one hundred percent

0:24:24.400 --> 0:24:26.480
<v Speaker 1>of the info from dad because you only had one

0:24:26.480 --> 0:24:29.919
<v Speaker 1>set of chromosomes to give. So all of the sisters

0:24:30.200 --> 0:24:32.679
<v Speaker 1>they're going to get the same chromosome from Dad, So

0:24:33.200 --> 0:24:36.119
<v Speaker 1>that chromosome's one hundred percent the same the chromosome they

0:24:36.119 --> 0:24:37.639
<v Speaker 1>get from mom. They're going to have a like fifty

0:24:37.680 --> 0:24:40.400
<v Speaker 1>percent chance of having the same information if you're comparing

0:24:40.440 --> 0:24:44.000
<v Speaker 1>between two sisters. So if you look at two sisters,

0:24:44.400 --> 0:24:47.440
<v Speaker 1>seventy five percent of their genetic information is going to

0:24:47.520 --> 0:24:48.280
<v Speaker 1>be the same.

0:24:48.520 --> 0:24:51.280
<v Speaker 3>Whereas between me and my brothers and humans it's only

0:24:51.320 --> 0:24:51.959
<v Speaker 3>fifty percent.

0:24:52.240 --> 0:24:55.280
<v Speaker 1>That's right, I see. And if you compare the mom

0:24:55.680 --> 0:25:00.280
<v Speaker 1>to her daughters, they're only fifty percent similar. And so

0:25:00.320 --> 0:25:03.040
<v Speaker 1>the daughters are like super hyper similar to each other.

0:25:03.200 --> 0:25:05.200
<v Speaker 3>They're more like clones than our sisters.

0:25:05.480 --> 0:25:08.359
<v Speaker 1>Yeah, yeah, they're much closer. And so you find that

0:25:08.359 --> 0:25:11.159
<v Speaker 1>they're willing to help their mom produce a bunch of

0:25:11.200 --> 0:25:15.199
<v Speaker 1>additional sisters because they're producing more individuals that are very

0:25:15.240 --> 0:25:18.399
<v Speaker 1>similar to each other, and they are quite willing to

0:25:18.400 --> 0:25:20.479
<v Speaker 1>give up their lives to protect each other because they

0:25:20.520 --> 0:25:24.200
<v Speaker 1>are very genetically similar. And so we think that that's

0:25:24.240 --> 0:25:27.640
<v Speaker 1>why you tend to see these amazing examples of animals

0:25:27.720 --> 0:25:29.720
<v Speaker 1>being willing to give up their lives to protect each

0:25:29.760 --> 0:25:32.880
<v Speaker 1>other because in these systems, at least the sisters tend

0:25:32.880 --> 0:25:36.040
<v Speaker 1>to be very genetically similar. So kin selection seems to

0:25:36.040 --> 0:25:39.440
<v Speaker 1>be able to particularly work well in these systems.

0:25:39.640 --> 0:25:45.399
<v Speaker 3>It's fascinating that behavior seems to follow these relationships. You

0:25:45.480 --> 0:25:49.359
<v Speaker 3>know that people who are more closely aligned tend to

0:25:49.480 --> 0:25:52.440
<v Speaker 3>act in a way that benefits people who are more

0:25:52.520 --> 0:25:57.080
<v Speaker 3>related to them. And isn't it because selection at the

0:25:57.200 --> 0:26:02.280
<v Speaker 3>level of individuals, when individuals have these complex overlaps, tends

0:26:02.320 --> 0:26:06.679
<v Speaker 3>to benefit behaviors that leads to the selection of those

0:26:07.119 --> 0:26:09.440
<v Speaker 3>genes that led to those behaviors. Is that right?

0:26:09.960 --> 0:26:14.359
<v Speaker 1>When you are closely related to individuals, you might be

0:26:14.800 --> 0:26:20.560
<v Speaker 1>more likely to see a benefit to any genes associated

0:26:20.600 --> 0:26:23.159
<v Speaker 1>with behaviors for cooperation.

0:26:23.520 --> 0:26:25.480
<v Speaker 3>But you have to see the benefit. I guess that's

0:26:25.520 --> 0:26:29.040
<v Speaker 3>my question, you know, because like we were talking earlier

0:26:29.080 --> 0:26:32.720
<v Speaker 3>about like the squirrels knowing whether their people are related,

0:26:32.960 --> 0:26:34.760
<v Speaker 3>But in the case of like a bee, like a

0:26:34.800 --> 0:26:38.520
<v Speaker 3>bee isn't aware that they're related in some way? Isn't

0:26:38.520 --> 0:26:40.879
<v Speaker 3>it just that their behavior benefits people who are more

0:26:40.920 --> 0:26:43.640
<v Speaker 3>closely related to them without them being aware of their

0:26:43.680 --> 0:26:47.120
<v Speaker 3>like sisterly relationship? I mean, are bees feeling a sisterly

0:26:47.200 --> 0:26:50.040
<v Speaker 3>bond with their clone sisters?

0:26:50.359 --> 0:26:52.560
<v Speaker 1>I see? Okay, So I think ants are able to

0:26:52.560 --> 0:26:55.480
<v Speaker 1>tell the difference between nestmates and not nestmates based on

0:26:55.760 --> 0:26:58.920
<v Speaker 1>their chemical smell. I wouldn't be surprised if bees could

0:26:58.920 --> 0:27:04.440
<v Speaker 1>do something similar. There are social trematodes We talked about

0:27:04.440 --> 0:27:06.480
<v Speaker 1>this in a prior episode, Living in the go nedes

0:27:06.480 --> 0:27:09.280
<v Speaker 1>of snails that are able to tell the difference between

0:27:09.960 --> 0:27:13.000
<v Speaker 1>members of the same species that are a different genotype

0:27:13.000 --> 0:27:15.399
<v Speaker 1>that are trying to invade and take over the snail.

0:27:15.800 --> 0:27:19.360
<v Speaker 1>And so I think even for species that we think

0:27:19.400 --> 0:27:23.040
<v Speaker 1>of as like you know, quite quote unquote lower, they

0:27:23.080 --> 0:27:26.359
<v Speaker 1>are able to tell even within the same species, you know,

0:27:26.440 --> 0:27:29.200
<v Speaker 1>are you my family or not? Which is kind of amazing.

0:27:29.200 --> 0:27:31.480
<v Speaker 1>But I think there are a lot of techniques for telling,

0:27:32.000 --> 0:27:34.679
<v Speaker 1>even in a hive, are you in my family or

0:27:34.680 --> 0:27:35.840
<v Speaker 1>are you not in my family?

0:27:36.240 --> 0:27:38.959
<v Speaker 3>Yeah? I see, And that makes sense because if you

0:27:38.960 --> 0:27:41.720
<v Speaker 3>can do that, then you can act differently based on

0:27:41.800 --> 0:27:45.680
<v Speaker 3>that information. And that also will help propagate your genes

0:27:46.280 --> 0:27:49.240
<v Speaker 3>if you help people who have your genes more than

0:27:49.240 --> 0:27:51.440
<v Speaker 3>you help people who don't have your genes. Yes, yeah,

0:27:51.480 --> 0:27:52.080
<v Speaker 3>that makes sense.

0:27:52.200 --> 0:27:54.359
<v Speaker 1>Yeah, I think being able to recognize family is a

0:27:54.359 --> 0:27:56.280
<v Speaker 1>big part of how this stuff works.

0:27:57.200 --> 0:27:59.800
<v Speaker 3>All right. Cool, So in the future when the aliens

0:27:59.800 --> 0:28:02.879
<v Speaker 3>come and they create like an army of ten thousand

0:28:02.960 --> 0:28:07.280
<v Speaker 3>Daniel clones, I will just like naturally help those guys

0:28:07.320 --> 0:28:10.080
<v Speaker 3>out more than like all the Kelly clones, because I'll

0:28:10.119 --> 0:28:13.960
<v Speaker 3>know that I'm more closely related to the damn clones,

0:28:14.040 --> 0:28:16.440
<v Speaker 3>and it's just nature. Kelly, don't be offended.

0:28:16.480 --> 0:28:19.920
<v Speaker 1>Okay, okay, but let's move on to mechanism too, which

0:28:19.960 --> 0:28:23.640
<v Speaker 1>is mutualism, which is there are some instances where there

0:28:23.720 --> 0:28:26.880
<v Speaker 1>is mutual benefit to working together and you both get

0:28:26.960 --> 0:28:31.879
<v Speaker 1>higher fitness by cooperating. And so, for example, although I

0:28:31.920 --> 0:28:33.359
<v Speaker 1>was going to say, you know, we both have this

0:28:33.400 --> 0:28:35.040
<v Speaker 1>great fitness together, but I don't think it's going to

0:28:35.080 --> 0:28:39.520
<v Speaker 1>help either of our reproductions. So maybe that's not going

0:28:39.600 --> 0:28:41.920
<v Speaker 1>to work. You help the Daniel clones, I understand. So

0:28:42.360 --> 0:28:45.160
<v Speaker 1>all right, So here here's an example in paper wasps.

0:28:45.680 --> 0:28:47.880
<v Speaker 1>You may have seen like these giant wasp nests that

0:28:47.960 --> 0:28:49.640
<v Speaker 1>kind of look like they're made of paper, Like you know,

0:28:49.640 --> 0:28:52.640
<v Speaker 1>they're literally using their mouth parts to sort of scrape

0:28:52.680 --> 0:28:55.080
<v Speaker 1>parts off of trees or parts off of your furniture,

0:28:55.440 --> 0:28:58.200
<v Speaker 1>and then they make these giant nests. They're made by

0:28:58.240 --> 0:29:00.840
<v Speaker 1>several females, and some of those females, up to thirty

0:29:00.840 --> 0:29:04.240
<v Speaker 1>five percent are actually not related. And so why would

0:29:04.280 --> 0:29:06.680
<v Speaker 1>they be helping to make these giant nests if they're

0:29:06.880 --> 0:29:09.640
<v Speaker 1>not related, Because only one of the females in that

0:29:09.720 --> 0:29:12.600
<v Speaker 1>nest is laying the eggs, and everybody else is subordinating

0:29:12.640 --> 0:29:15.880
<v Speaker 1>themselves and choosing to not lay eggs. Yeah, and so

0:29:15.920 --> 0:29:17.920
<v Speaker 1>why would they do that, Well, it turns out that

0:29:18.000 --> 0:29:21.720
<v Speaker 1>at some point the dominant female will die and one

0:29:21.760 --> 0:29:24.120
<v Speaker 1>of the subordinate females will get the chance to take

0:29:24.240 --> 0:29:28.400
<v Speaker 1>over that giant nest when she dies. And the giant

0:29:28.480 --> 0:29:32.000
<v Speaker 1>nests have a much better chance of surviving like a

0:29:32.040 --> 0:29:35.280
<v Speaker 1>predator attack than teeny tiny nests that are made by

0:29:35.280 --> 0:29:38.000
<v Speaker 1>solitary females. So there are nests like that are made

0:29:38.040 --> 0:29:40.800
<v Speaker 1>by solitary females who try to go it alone. And

0:29:40.880 --> 0:29:42.600
<v Speaker 1>so there are some females who will say, all right,

0:29:42.640 --> 0:29:44.840
<v Speaker 1>you know what, I'm not related to you, but I

0:29:44.920 --> 0:29:47.440
<v Speaker 1>am going to help you out in the hope that

0:29:47.480 --> 0:29:49.200
<v Speaker 1>maybe one day I'm going to get to take over

0:29:49.280 --> 0:29:52.880
<v Speaker 1>this giant kingdom and my turn will come. And so

0:29:52.920 --> 0:29:54.920
<v Speaker 1>I'm going to cooperate now in the hope that later

0:29:55.400 --> 0:29:57.080
<v Speaker 1>I'm going to get to take this over. And so

0:29:57.120 --> 0:30:00.440
<v Speaker 1>it's like a delayed benefit with it. This is called

0:30:00.480 --> 0:30:05.280
<v Speaker 1>postponed coordination. And actually this idea of like territorial inheritance,

0:30:05.280 --> 0:30:07.000
<v Speaker 1>where if I help you now, I might get to

0:30:07.080 --> 0:30:10.600
<v Speaker 1>take over this amazing territory later is a pretty common

0:30:10.640 --> 0:30:13.440
<v Speaker 1>thing that we see in like birds and insects and

0:30:13.520 --> 0:30:15.160
<v Speaker 1>lots of other lots of other species.

0:30:15.400 --> 0:30:18.719
<v Speaker 3>Okay, so then my question here is it makes sense

0:30:19.000 --> 0:30:23.160
<v Speaker 3>to cooperate. Everybody benefits. But what about the prisoner's dilima

0:30:23.320 --> 0:30:26.840
<v Speaker 3>example we talked about earlier. Why aren't there jerk wasps

0:30:26.880 --> 0:30:29.480
<v Speaker 3>who come and wait for you to build your nice

0:30:29.560 --> 0:30:32.600
<v Speaker 3>nest and then say, oh, wouldn't it be a tragedy

0:30:32.640 --> 0:30:34.720
<v Speaker 3>if something were to happen to your paper wasp nest

0:30:35.080 --> 0:30:37.080
<v Speaker 3>and you know, kill everybody and take it over.

0:30:37.280 --> 0:30:41.480
<v Speaker 1>Ah. Yeah, So usually the individuals who are helping are

0:30:42.400 --> 0:30:46.040
<v Speaker 1>weaker and couldn't be the dominant individual for whatever reason.

0:30:46.120 --> 0:30:48.000
<v Speaker 1>And so, for example, if you are one of the

0:30:48.040 --> 0:30:51.720
<v Speaker 1>thirty five percent of individuals who are not genetically related

0:30:52.040 --> 0:30:55.400
<v Speaker 1>to the dominant individual who's making the nest, you probably

0:30:55.480 --> 0:30:59.560
<v Speaker 1>couldn't try to oust the dominant individual who's laying the eggs.

0:30:59.560 --> 0:31:01.719
<v Speaker 1>You'd probably get slaughtered if you tried to do that.

0:31:02.200 --> 0:31:03.840
<v Speaker 1>And so I think in a lot of cases you

0:31:03.880 --> 0:31:07.360
<v Speaker 1>would be outnumbered, and you are kind of like waiting

0:31:07.400 --> 0:31:09.640
<v Speaker 1>to get older, and in the meantime, you're probably also

0:31:09.720 --> 0:31:12.640
<v Speaker 1>like learning how things are done. It's also like an apprenticeship,

0:31:13.360 --> 0:31:15.520
<v Speaker 1>and so I think that if you could go it alone,

0:31:15.560 --> 0:31:17.720
<v Speaker 1>maybe you would, but you're just sort of waiting for

0:31:17.800 --> 0:31:18.280
<v Speaker 1>your chance.

0:31:19.520 --> 0:31:21.880
<v Speaker 3>I see, all right, cool, so that makes.

0:31:21.640 --> 0:31:25.720
<v Speaker 1>Sense, okay, And then option three is manipulation. So maybe

0:31:25.760 --> 0:31:28.440
<v Speaker 1>it looks like cooperation, but you are just straight up

0:31:28.480 --> 0:31:32.120
<v Speaker 1>being coerced. And you should go to our episode on

0:31:32.280 --> 0:31:36.360
<v Speaker 1>interspecific brood parasitism where we talk about birds who take

0:31:36.400 --> 0:31:39.320
<v Speaker 1>care of eggs that are not theirs because they were

0:31:39.360 --> 0:31:40.960
<v Speaker 1>tricked into doing so.

0:31:40.960 --> 0:31:42.880
<v Speaker 3>So definitely not altruism, right.

0:31:42.840 --> 0:31:48.440
<v Speaker 1>Definitely, just you have straight up been duped. And so

0:31:48.600 --> 0:31:51.560
<v Speaker 1>last let's talk about reciprocity. This used to be called

0:31:51.640 --> 0:31:55.960
<v Speaker 1>reciprocal altruism, but we stop calling it that because altruism,

0:31:56.080 --> 0:31:59.240
<v Speaker 1>in my mind, is when you do something nice with

0:31:59.400 --> 0:32:02.000
<v Speaker 1>no anti a patient that you'll get paid back. But

0:32:02.080 --> 0:32:04.040
<v Speaker 1>this is really like you're doing something nice because you

0:32:04.040 --> 0:32:05.480
<v Speaker 1>expect to get paid back eventually.

0:32:05.720 --> 0:32:07.080
<v Speaker 3>This is like a gift exchange.

0:32:07.400 --> 0:32:09.840
<v Speaker 1>Yeah right, yeah, that doesn't really feel like ultruism, So

0:32:10.000 --> 0:32:14.480
<v Speaker 1>we call it reciprocity. And my favorite example of reciprocity

0:32:14.960 --> 0:32:18.320
<v Speaker 1>is vampire bats in Costa Rica. So the idea here

0:32:18.400 --> 0:32:21.840
<v Speaker 1>is that you are doing something nice because you expect

0:32:21.920 --> 0:32:24.400
<v Speaker 1>that you're going to interact with this individual over and

0:32:24.440 --> 0:32:26.880
<v Speaker 1>over and over again. So you mentioned the prisoner's dilemma,

0:32:27.680 --> 0:32:30.680
<v Speaker 1>and so the prisoner's dilemma is a game that is

0:32:30.840 --> 0:32:34.200
<v Speaker 1>often used to think about these reciprocal interactions. And it

0:32:34.240 --> 0:32:36.560
<v Speaker 1>doesn't work if you're only going to interact with somebody once.

0:32:36.880 --> 0:32:39.600
<v Speaker 1>If you interact with someone once, you should probably dupe

0:32:39.600 --> 0:32:41.440
<v Speaker 1>them to try to get, you know, the best outcome

0:32:41.480 --> 0:32:45.040
<v Speaker 1>from the interaction for that one iteration. But if you're

0:32:45.080 --> 0:32:46.760
<v Speaker 1>going to interact with someone over and over and over

0:32:46.880 --> 0:32:49.480
<v Speaker 1>and over again, maybe it makes sense to cooperate and

0:32:49.560 --> 0:32:51.360
<v Speaker 1>try to make it so that both of you are

0:32:51.360 --> 0:32:53.840
<v Speaker 1>getting the best outcome from interacting over and over and

0:32:53.880 --> 0:32:54.280
<v Speaker 1>over again.

0:32:54.560 --> 0:32:57.040
<v Speaker 3>And I remember they did this experiment and they showed

0:32:57.040 --> 0:32:59.880
<v Speaker 3>that like the best strategy for the prisoners to dumble

0:33:00.120 --> 0:33:02.800
<v Speaker 3>is called like tit for tat. Basically, people are being

0:33:02.880 --> 0:33:05.040
<v Speaker 3>nice to you, you're nice to them. People are not

0:33:05.160 --> 0:33:06.960
<v Speaker 3>nice to you. You're not nice back.

0:33:07.560 --> 0:33:07.760
<v Speaker 6>Right.

0:33:07.840 --> 0:33:09.640
<v Speaker 1>Excelelrod is the one who's set up I think the

0:33:09.720 --> 0:33:12.560
<v Speaker 1>games and people could submit different strategies and tit for

0:33:12.640 --> 0:33:14.120
<v Speaker 1>tat one.

0:33:14.360 --> 0:33:16.640
<v Speaker 3>Right, Okay, classic game theory. Cool stuff.

0:33:17.080 --> 0:33:18.960
<v Speaker 1>All right, So with these vampire bats that live in

0:33:19.000 --> 0:33:21.520
<v Speaker 1>Costa Rica, they go out for a blood meal at night.

0:33:22.240 --> 0:33:25.240
<v Speaker 1>If they unfortunately don't get a blood meal, they can

0:33:25.280 --> 0:33:26.800
<v Speaker 1>make it for one night, but if they don't get

0:33:26.840 --> 0:33:28.520
<v Speaker 1>a blood meal for three nights in a row, they're

0:33:28.520 --> 0:33:31.480
<v Speaker 1>probably gonna die. But if they get a blood meal

0:33:31.480 --> 0:33:33.840
<v Speaker 1>and they could find an animal, they probably get more

0:33:33.880 --> 0:33:36.040
<v Speaker 1>than enough blood and they could afford to share some.

0:33:36.760 --> 0:33:41.240
<v Speaker 1>So helping out a roost meat so they live in roosts,

0:33:41.680 --> 0:33:43.480
<v Speaker 1>isn't a big cost to you, but could be a

0:33:43.480 --> 0:33:46.960
<v Speaker 1>big benefit to an individual who didn't get any food

0:33:47.000 --> 0:33:47.400
<v Speaker 1>that night.

0:33:47.600 --> 0:33:49.160
<v Speaker 3>How do they help them out? They're like, spit up

0:33:49.200 --> 0:33:49.640
<v Speaker 3>some blood.

0:33:49.840 --> 0:33:52.240
<v Speaker 1>Yeah, yeah, they puke in their mouth. Yeah, super gross.

0:33:52.280 --> 0:33:53.240
<v Speaker 1>Puke up blood in their mouth?

0:33:53.920 --> 0:33:55.120
<v Speaker 3>You very much?

0:33:55.840 --> 0:34:01.600
<v Speaker 1>Yeah, well you know, yeah, well you wanted to do

0:34:01.640 --> 0:34:04.280
<v Speaker 1>a podcast with an animal behavior person, this is what

0:34:04.320 --> 0:34:09.000
<v Speaker 1>you get. So anyway, Okay, So they looked and they

0:34:09.080 --> 0:34:11.799
<v Speaker 1>saw that bats that didn't manage to get a meal

0:34:11.840 --> 0:34:14.480
<v Speaker 1>for the night, they weren't very likely to get fed

0:34:14.560 --> 0:34:17.359
<v Speaker 1>by family members. So that's totally consistent with our kin

0:34:17.480 --> 0:34:21.399
<v Speaker 1>selection discussion. But they were also really likely to get

0:34:21.400 --> 0:34:25.120
<v Speaker 1>fed by roostmates. So there was a guy who went

0:34:25.160 --> 0:34:27.080
<v Speaker 1>out and they collected a bunch of bats from the wild,

0:34:27.200 --> 0:34:29.680
<v Speaker 1>brought them into the lab and then held onto some

0:34:29.719 --> 0:34:31.240
<v Speaker 1>of the bats and made it so that they couldn't

0:34:31.280 --> 0:34:33.880
<v Speaker 1>get food, and then they released them back into a

0:34:33.960 --> 0:34:38.160
<v Speaker 1>room that had some individuals from the same roost and

0:34:38.239 --> 0:34:41.400
<v Speaker 1>some individuals that were completely new to the bats, so

0:34:41.480 --> 0:34:45.040
<v Speaker 1>they essentially had like friends and non friends, and the

0:34:45.160 --> 0:34:48.719
<v Speaker 1>friends were much more likely to feed the bats when

0:34:48.760 --> 0:34:51.000
<v Speaker 1>it went in asking for food and essentially was like,

0:34:51.040 --> 0:34:54.239
<v Speaker 1>I'm hungry, and individuals that knew the bat were like, okay,

0:34:54.280 --> 0:34:57.840
<v Speaker 1>I'll feed you bat, And so it does seem like

0:34:57.920 --> 0:35:00.920
<v Speaker 1>having some familiarity with an individual and essentially like some

0:35:01.040 --> 0:35:03.520
<v Speaker 1>anticipation that you'll see this individual again so they might

0:35:03.560 --> 0:35:05.560
<v Speaker 1>be able to pay you back. Yeah, made you more

0:35:05.600 --> 0:35:09.640
<v Speaker 1>likely to feed them. And individuals who were fed were

0:35:09.680 --> 0:35:13.920
<v Speaker 1>then more likely to feed individuals later on in the experiment,

0:35:14.280 --> 0:35:17.040
<v Speaker 1>And so it does look like other individuals expect you

0:35:17.080 --> 0:35:19.719
<v Speaker 1>to ante up later if it's known that you were

0:35:19.760 --> 0:35:23.239
<v Speaker 1>helped out, and if you see someone pretty often, then

0:35:23.239 --> 0:35:25.520
<v Speaker 1>you feel like you can ask them for help. And

0:35:25.600 --> 0:35:28.200
<v Speaker 1>so it does look like these bats have this reciprocal

0:35:28.239 --> 0:35:31.600
<v Speaker 1>altruism system going on, where if you've got these iterated

0:35:31.640 --> 0:35:33.880
<v Speaker 1>interactions where you know you're going to see them pretty often,

0:35:34.239 --> 0:35:36.560
<v Speaker 1>you can ask them for help and expect to get

0:35:36.600 --> 0:35:37.280
<v Speaker 1>help in return.

0:35:37.760 --> 0:35:40.239
<v Speaker 3>I see, all right, So that's like another reason why

0:35:40.280 --> 0:35:44.000
<v Speaker 3>what seems like altruistic behavior might benefit the individual, And

0:35:44.000 --> 0:35:46.520
<v Speaker 3>that seems to be the common thread is that you're

0:35:46.840 --> 0:35:49.759
<v Speaker 3>arguing that all of this behavior, which seems like it

0:35:49.840 --> 0:35:52.640
<v Speaker 3>might have been selected at the group level, can sometimes

0:35:52.719 --> 0:35:56.279
<v Speaker 3>be explained by evolution on the individual because in the end,

0:35:56.680 --> 0:35:59.160
<v Speaker 3>all of this behavior really does come back to benefit

0:35:59.200 --> 0:36:00.920
<v Speaker 3>the individual, and that's why it would.

0:36:00.680 --> 0:36:03.600
<v Speaker 1>Be selected exactly. Yep, that's the perfect way. At bottom

0:36:03.640 --> 0:36:06.279
<v Speaker 1>line it whenever we've seen examples of cooperation, we've been

0:36:06.320 --> 0:36:09.719
<v Speaker 1>able to find explanations that can be explained by individual

0:36:09.800 --> 0:36:13.440
<v Speaker 1>level selection, don't require group selection, and can be completely

0:36:13.520 --> 0:36:15.640
<v Speaker 1>understood through the lens of natural selection.

0:36:15.960 --> 0:36:17.720
<v Speaker 3>So everybody out there is selfish, you're.

0:36:17.560 --> 0:36:21.240
<v Speaker 1>Saying, well, we do see a lot of selfish behavior

0:36:21.360 --> 0:36:24.480
<v Speaker 1>in nature. We also, this is kind of interesting. We

0:36:24.560 --> 0:36:27.080
<v Speaker 1>don't see a lot of examples of spite, which is

0:36:27.120 --> 0:36:31.480
<v Speaker 1>where someone is willing, which is where someone is willing

0:36:31.520 --> 0:36:36.680
<v Speaker 1>to accept a negative impact on themselves just to see

0:36:36.719 --> 0:36:39.959
<v Speaker 1>something bad happen as someone else. But we do see

0:36:40.080 --> 0:36:42.799
<v Speaker 1>humans do that. That's a unique thing.

0:36:43.080 --> 0:36:46.200
<v Speaker 3>Now, this sounds like a Mary roach book spite. Spite

0:36:46.680 --> 0:36:50.800
<v Speaker 3>examples of people hurting themselves just to get back at somebody.

0:36:50.440 --> 0:36:52.319
<v Speaker 1>Else we know of at least one case. So like,

0:36:52.360 --> 0:36:54.880
<v Speaker 1>there's been studies on monkeys in the lab, capuchin monkeys,

0:36:54.920 --> 0:36:58.560
<v Speaker 1>I think, where if a capuchin monkey was observed getting

0:36:58.600 --> 0:37:03.600
<v Speaker 1>too many of the most delicious snack, another monkey would

0:37:03.800 --> 0:37:06.839
<v Speaker 1>take a less delicious snack as long as it meant

0:37:06.880 --> 0:37:10.319
<v Speaker 1>the other monkey would get punished in some way like no, no,

0:37:10.360 --> 0:37:12.480
<v Speaker 1>you've been getting too many good snacks. This is not cool.

0:37:12.520 --> 0:37:14.839
<v Speaker 1>You're getting punished and I'm getting punished. I don't care,

0:37:15.040 --> 0:37:18.560
<v Speaker 1>it's not cool. So other animals are capable of spite.

0:37:18.760 --> 0:37:20.799
<v Speaker 3>I'm willing to have a less delicious snack as long

0:37:20.840 --> 0:37:22.080
<v Speaker 3>as I get to see you suffer.

0:37:22.280 --> 0:37:22.799
<v Speaker 1>That's right.

0:37:22.840 --> 0:37:24.840
<v Speaker 3>Wow, that is cold cold.

0:37:24.960 --> 0:37:26.880
<v Speaker 1>Yeah, So we don't see it as often as we

0:37:26.920 --> 0:37:30.880
<v Speaker 1>see humans doing it, but we also see amazing examples

0:37:30.920 --> 0:37:34.360
<v Speaker 1>of cooperation and social behavior in humans, which gets to

0:37:34.440 --> 0:37:51.240
<v Speaker 1>Kurran's question, which we will get to after the break.

0:37:57.920 --> 0:38:01.080
<v Speaker 3>All right, we're back when we're taking a long detour

0:38:01.200 --> 0:38:04.040
<v Speaker 3>to answer this question, first giving you a background and

0:38:04.080 --> 0:38:07.000
<v Speaker 3>how evolution works, and reminding you that there is no

0:38:07.040 --> 0:38:09.839
<v Speaker 3>true altruism out there in the animal kingdom, and that

0:38:09.880 --> 0:38:12.640
<v Speaker 3>in the end, it all benefits the individual and that's

0:38:12.680 --> 0:38:16.120
<v Speaker 3>how evolution works. So tell us, Kelly, how does this

0:38:16.200 --> 0:38:20.040
<v Speaker 3>help us understand the answer to Karen's question about human behavior?

0:38:20.200 --> 0:38:22.400
<v Speaker 1>All right, Well, first of all, I'm hoping this wasn't

0:38:22.640 --> 0:38:26.800
<v Speaker 1>too painful for Karen. They have professor parents, so hopefully

0:38:26.840 --> 0:38:31.240
<v Speaker 1>they're accustomed to long winded answers and so they're not surprised.

0:38:32.520 --> 0:38:35.160
<v Speaker 3>I'm afraid you might be making the wrong assumption there. Now.

0:38:35.200 --> 0:38:38.920
<v Speaker 3>My daughter Hazel is like oversensitized to long answers. If

0:38:38.920 --> 0:38:41.480
<v Speaker 3>she sends us when coming, she's like, I didn't ask

0:38:41.520 --> 0:38:42.600
<v Speaker 3>for a college lecture.

0:38:42.760 --> 0:38:44.600
<v Speaker 1>All right, well, I'll tell them that they can fast

0:38:44.640 --> 0:38:47.959
<v Speaker 1>forward to forty minutes in and get right to the point. Okay,

0:38:48.000 --> 0:38:50.279
<v Speaker 1>so let's hone in on mammals, and so you'll see

0:38:50.320 --> 0:38:53.640
<v Speaker 1>I actually haven't quite gotten the answer. We're just getting

0:38:53.680 --> 0:38:57.879
<v Speaker 1>to mammals. So all right, two thirds of mammals are

0:38:57.920 --> 0:39:02.080
<v Speaker 1>actually living alone. So only of mammals are social. In

0:39:02.120 --> 0:39:04.920
<v Speaker 1>other cases, they get together to mate and then they

0:39:04.960 --> 0:39:08.319
<v Speaker 1>tend to split up, and the females will spend some

0:39:08.360 --> 0:39:11.399
<v Speaker 1>time with the babies because mammals do lactation, which means

0:39:11.440 --> 0:39:13.440
<v Speaker 1>the moms need to be around the babies for a

0:39:13.440 --> 0:39:17.600
<v Speaker 1>while to feed them. But okay, so now, why did

0:39:17.719 --> 0:39:26.520
<v Speaker 1>humans in particular evolve to be social? Yeaht hey, they're extraordinaries. Well,

0:39:26.960 --> 0:39:30.320
<v Speaker 1>Daniel and I actually recorded an answer to the question

0:39:30.360 --> 0:39:33.360
<v Speaker 1>that I just asked, but after I listened to our answer,

0:39:33.440 --> 0:39:37.080
<v Speaker 1>I decided it's like not a super satisfying answer. So

0:39:37.280 --> 0:39:40.400
<v Speaker 1>instead I reached out to an expert to get away

0:39:40.600 --> 0:39:44.200
<v Speaker 1>better answer, and I'm having our amazing audio guy Matt,

0:39:44.760 --> 0:39:49.280
<v Speaker 1>drop that much better answer in here. Doctor Nathan Lynz

0:39:49.320 --> 0:39:51.799
<v Speaker 1>is a professor of biology at John Jay College, City

0:39:51.880 --> 0:39:54.560
<v Speaker 1>University of New York, and he's the author of three

0:39:54.560 --> 0:39:57.839
<v Speaker 1>books that touch on human evolution topics. We had him

0:39:57.840 --> 0:40:00.600
<v Speaker 1>on the show on February twenty seventh, twenty tw to

0:40:00.640 --> 0:40:04.160
<v Speaker 1>talk about the sexual evolution How five hundred million years

0:40:04.239 --> 0:40:07.560
<v Speaker 1>of sex, gender, and mating shape modern relationships, which is

0:40:07.560 --> 0:40:10.160
<v Speaker 1>a book you all should definitely check out, and you

0:40:10.160 --> 0:40:12.080
<v Speaker 1>can also find more of his writing over at the

0:40:12.160 --> 0:40:15.640
<v Speaker 1>Human Evolution Blog and today we're bringing him on to

0:40:15.760 --> 0:40:19.680
<v Speaker 1>answer one of Karen's questions. And so, Nathan, welcome back

0:40:19.680 --> 0:40:20.240
<v Speaker 1>on to the show.

0:40:20.480 --> 0:40:22.280
<v Speaker 4>It's a pleasure. I love this podcast.

0:40:23.960 --> 0:40:25.640
<v Speaker 1>Well, we love having you on the show. This is

0:40:25.640 --> 0:40:28.040
<v Speaker 1>your third appearance now, which I think makes you tied

0:40:28.080 --> 0:40:32.040
<v Speaker 1>with Scott Solomon for most regular appearances on the show.

0:40:32.120 --> 0:40:33.799
<v Speaker 1>So that's awesome for us.

0:40:33.960 --> 0:40:35.359
<v Speaker 4>The gauntlet has been thrown down.

0:40:36.280 --> 0:40:40.280
<v Speaker 1>That's right, that's right. Yeah, So folks submit more human

0:40:40.280 --> 0:40:42.440
<v Speaker 1>evolution questions and then we can you know, we can

0:40:42.440 --> 0:40:43.600
<v Speaker 1>get Nathan on even more.

0:40:44.600 --> 0:40:44.680
<v Speaker 3>So.

0:40:44.840 --> 0:40:47.680
<v Speaker 1>Yeah, So why did humans evolve to be social? And

0:40:47.760 --> 0:40:49.840
<v Speaker 1>a little bit of context here. We just spent forty

0:40:49.880 --> 0:40:54.040
<v Speaker 1>minutes talking about social evolution and other animals. We've talked

0:40:54.040 --> 0:40:58.440
<v Speaker 1>about kin selection, reciprocal altruism, and now we're talking about humans.

0:40:58.440 --> 0:41:00.920
<v Speaker 1>Why do we cooperate and why? Why are we social?

0:41:01.000 --> 0:41:02.000
<v Speaker 1>What do we know about this?

0:41:02.600 --> 0:41:02.839
<v Speaker 4>Yeah?

0:41:02.880 --> 0:41:06.680
<v Speaker 7>So, I mean humans, So mammals and then primates evolved

0:41:06.680 --> 0:41:10.000
<v Speaker 7>to be very very social. Very few mammals live solitary lives.

0:41:10.000 --> 0:41:12.480
<v Speaker 7>They live in communities, they live in families, and they

0:41:12.520 --> 0:41:15.600
<v Speaker 7>interact with one another and they're obviously they're better off

0:41:15.719 --> 0:41:19.040
<v Speaker 7>when they do. So humans have taken this to an

0:41:19.080 --> 0:41:22.960
<v Speaker 7>incredible extreme. And the reason why is humans are the

0:41:23.160 --> 0:41:28.880
<v Speaker 7>ultimate generalists, right, We're actually not particularly well evolved or

0:41:28.880 --> 0:41:32.200
<v Speaker 7>suited for any particular habitat or lifestyle. Instead, we went

0:41:32.280 --> 0:41:35.400
<v Speaker 7>the other way. We evolved to be adaptable and to

0:41:35.480 --> 0:41:37.320
<v Speaker 7>live in a whole variety of ways.

0:41:37.680 --> 0:41:40.000
<v Speaker 4>So, you know, there are animals.

0:41:39.560 --> 0:41:42.040
<v Speaker 7>That can throw better, that can run faster, that can

0:41:42.080 --> 0:41:44.920
<v Speaker 7>climb better, that can swim better. But we can run

0:41:45.000 --> 0:41:47.600
<v Speaker 7>and climb and jump, and we could do it all,

0:41:47.840 --> 0:41:50.040
<v Speaker 7>and we can eat a variety of diets. Think of

0:41:50.080 --> 0:41:52.600
<v Speaker 7>how different world diets are around the world, you know,

0:41:52.640 --> 0:41:56.400
<v Speaker 7>from chore lines and seafaring peoples to desert people to

0:41:56.480 --> 0:42:01.560
<v Speaker 7>tundra to rainforest. So that that quality of being very

0:42:01.840 --> 0:42:06.040
<v Speaker 7>general in our approach lends itself to division of labor

0:42:06.120 --> 0:42:08.719
<v Speaker 7>where individuals do not have to all do.

0:42:08.800 --> 0:42:09.479
<v Speaker 4>The same thing.

0:42:09.920 --> 0:42:12.920
<v Speaker 7>Whereas most other animals they all do the same thing.

0:42:13.040 --> 0:42:15.240
<v Speaker 7>They can do different things, and they can work together.

0:42:15.360 --> 0:42:19.080
<v Speaker 7>But there's not like trades, you know, there aren't professions.

0:42:19.840 --> 0:42:22.920
<v Speaker 7>They all basically do the same thing, and they basically

0:42:23.000 --> 0:42:26.719
<v Speaker 7>all have to learn everything they need to know each generation. Right,

0:42:26.760 --> 0:42:29.319
<v Speaker 7>they don't inherit a whole bunch of knowledge. They do

0:42:29.440 --> 0:42:32.640
<v Speaker 7>learn from each other, but they don't intentionally teach anything.

0:42:32.880 --> 0:42:35.480
<v Speaker 7>And that's what humans do is we have this huge

0:42:35.520 --> 0:42:38.520
<v Speaker 7>toolkit of knowledge, of cultural knowledge that gets passed on

0:42:38.640 --> 0:42:42.200
<v Speaker 7>each generation and then get specialized. So some individuals can

0:42:42.239 --> 0:42:44.520
<v Speaker 7>do one thing. They can be homesteaders, you know, they

0:42:44.520 --> 0:42:47.040
<v Speaker 7>can work with their hands. Other people are out hunting

0:42:47.040 --> 0:42:49.399
<v Speaker 7>and they have great vision, whatever it is. There's lots

0:42:49.440 --> 0:42:51.640
<v Speaker 7>of different ways that you can contribute to the group

0:42:52.000 --> 0:42:54.879
<v Speaker 7>and be important and valuable, and therefore your genes are

0:42:54.880 --> 0:42:58.440
<v Speaker 7>more likely to find success, not because you're good at

0:42:58.440 --> 0:43:01.520
<v Speaker 7>this one specific thing, but because you're good at something.

0:43:01.920 --> 0:43:05.600
<v Speaker 7>So we were all contributing in this wide variety of ways. Well,

0:43:05.600 --> 0:43:09.800
<v Speaker 7>that creates a social network that is better the larger

0:43:09.880 --> 0:43:12.480
<v Speaker 7>it gets, because then that's how you add more and

0:43:12.560 --> 0:43:15.640
<v Speaker 7>more skills to the toolkit, is that any one person

0:43:15.680 --> 0:43:17.080
<v Speaker 7>doesn't have to do it all. They only have to

0:43:17.080 --> 0:43:20.040
<v Speaker 7>do one thing. And so our groups became highly intricate,

0:43:20.400 --> 0:43:24.360
<v Speaker 7>highly cooperative, and also large reservoirs of knowledge.

0:43:24.840 --> 0:43:27.719
<v Speaker 8>And the best support for this hypothesis is that the

0:43:27.760 --> 0:43:30.759
<v Speaker 8>few examples we have of population declines where you get

0:43:30.760 --> 0:43:34.680
<v Speaker 8>a bottleneck, they lose tons of skills. So we have

0:43:34.760 --> 0:43:38.080
<v Speaker 8>societies like in Tasmania where we can tell from the

0:43:38.120 --> 0:43:40.640
<v Speaker 8>fossils and the archaeology that they used to be able

0:43:40.680 --> 0:43:43.279
<v Speaker 8>to do some things that they no longer can. I

0:43:43.280 --> 0:43:45.680
<v Speaker 8>mean now they can, but when they were first kind

0:43:45.680 --> 0:43:48.040
<v Speaker 8>of studied anthropologically, they had actually lost a lot of

0:43:48.040 --> 0:43:51.600
<v Speaker 8>cultural knowledge when the population shrunk to a small size.

0:43:51.760 --> 0:43:55.840
<v Speaker 4>So our large groups with intricate social structures.

0:43:55.400 --> 0:43:59.320
<v Speaker 7>And division of labor, that created a society that was

0:43:59.440 --> 0:44:02.000
<v Speaker 7>much better than just the sum of its parts. Right,

0:44:02.040 --> 0:44:04.600
<v Speaker 7>we're not all doing the same thing, we're contributing to

0:44:04.680 --> 0:44:06.359
<v Speaker 7>this larger group set.

0:44:06.400 --> 0:44:10.000
<v Speaker 4>So that's why social evolution just really ran out of control.

0:44:10.040 --> 0:44:14.239
<v Speaker 7>And in fact, it's what Dan Lieberman calls evolution in

0:44:14.360 --> 0:44:17.440
<v Speaker 7>warp drive because you don't have to wait around for

0:44:17.560 --> 0:44:20.759
<v Speaker 7>new genes or new alleles, you know, mutations to provide things.

0:44:20.800 --> 0:44:22.799
<v Speaker 7>You can actually learn a new skill, teach it, and

0:44:22.840 --> 0:44:26.200
<v Speaker 7>then boom, everyone has it. So it's really our sociality

0:44:26.280 --> 0:44:27.600
<v Speaker 7>is key to our success.

0:44:28.040 --> 0:44:32.239
<v Speaker 1>Why just us? Why don't more animals do this generalist

0:44:32.320 --> 0:44:34.399
<v Speaker 1>thing that has clearly been so great for us?

0:44:34.680 --> 0:44:37.520
<v Speaker 7>Well, to be honest, it's an unlikely scenario to play

0:44:37.560 --> 0:44:41.160
<v Speaker 7>out because if you think about it. Selection generally operates

0:44:41.160 --> 0:44:43.960
<v Speaker 7>on the level of the individual, right, so you don't

0:44:44.040 --> 0:44:47.160
<v Speaker 7>get anything out of helping other people, for example, it

0:44:47.200 --> 0:44:49.600
<v Speaker 7>doesn't unless it directly benefits you.

0:44:50.239 --> 0:44:52.360
<v Speaker 4>It won't. Those genes won't persist.

0:44:52.719 --> 0:44:54.759
<v Speaker 7>And in fact, I just finished a book not too

0:44:54.760 --> 0:44:58.120
<v Speaker 7>long called The Accidental Homo Sapiens, and it talks about how,

0:44:58.480 --> 0:45:03.200
<v Speaker 7>in many ways our particular trajectory was not destined for success.

0:45:04.160 --> 0:45:06.960
<v Speaker 7>It's actually quite costly to be have these big, huge

0:45:07.040 --> 0:45:10.600
<v Speaker 7>brains at the expense of our bodies. We use our

0:45:10.600 --> 0:45:12.479
<v Speaker 7>brains instead of our bodies, and so our bodies actually

0:45:12.480 --> 0:45:13.120
<v Speaker 7>aren't that great.

0:45:13.160 --> 0:45:14.120
<v Speaker 4>I read a book about that.

0:45:15.040 --> 0:45:17.040
<v Speaker 7>Because we rely on our on our brains so much,

0:45:17.080 --> 0:45:21.160
<v Speaker 7>our bodies kind of aren't as heavily scrutinized by natural selection.

0:45:21.440 --> 0:45:24.479
<v Speaker 1>That book is called Human Errors. Right, Yes, another great book.

0:45:24.520 --> 0:45:27.239
<v Speaker 7>Thanks for the plug. It's available at fine stores near you.

0:45:28.080 --> 0:45:29.560
<v Speaker 1>Yeah, don't miss those opportunities.

0:45:30.160 --> 0:45:33.600
<v Speaker 7>But the best proof of the sort of futility of

0:45:33.600 --> 0:45:36.239
<v Speaker 7>our approach is if you look at all of our

0:45:36.320 --> 0:45:40.560
<v Speaker 7>close relatives. They all went extinct, right and everywhere, whether

0:45:40.719 --> 0:45:44.520
<v Speaker 7>it's Homo erectus or you know, Homo habilists, and you know,

0:45:44.760 --> 0:45:47.719
<v Speaker 7>total rid of fences. Think of all of the named species,

0:45:47.760 --> 0:45:51.000
<v Speaker 7>those were all the smartest things that they were planet

0:45:51.040 --> 0:45:53.879
<v Speaker 7>had ever seen, and they all went extinct, right, some

0:45:53.920 --> 0:45:56.239
<v Speaker 7>of them because of direct interaction with us, but most

0:45:56.239 --> 0:45:58.640
<v Speaker 7>of them probably not. You know, so this is not

0:45:58.800 --> 0:46:02.480
<v Speaker 7>actually that successful a strategy. And our own species was

0:46:02.680 --> 0:46:05.120
<v Speaker 7>kind of on the nice edge of extinction multiple.

0:46:04.840 --> 0:46:05.760
<v Speaker 4>Times in our history.

0:46:05.960 --> 0:46:06.120
<v Speaker 9>Right.

0:46:06.120 --> 0:46:08.880
<v Speaker 7>We have a lot of population bottlenecks in our genetic history.

0:46:09.200 --> 0:46:11.760
<v Speaker 4>So what that means is it's a great system.

0:46:12.000 --> 0:46:15.240
<v Speaker 7>Once you get big enough and spread around far enough,

0:46:15.719 --> 0:46:19.120
<v Speaker 7>then it's a great system. But until then, favoring the

0:46:19.200 --> 0:46:22.760
<v Speaker 7>development of the brain over everything else was a recipe

0:46:22.760 --> 0:46:23.320
<v Speaker 7>for extinction.

0:46:23.800 --> 0:46:27.120
<v Speaker 1>How sure are we of this hypothesis? This seems like

0:46:27.160 --> 0:46:30.480
<v Speaker 1>a hard thing. You know, studying behavior is tough because

0:46:30.520 --> 0:46:34.040
<v Speaker 1>behavior rarely leaves fossils, Like, you know, what percent confidence

0:46:34.080 --> 0:46:37.040
<v Speaker 1>would you put on this explanation for why we're social?

0:46:38.400 --> 0:46:41.160
<v Speaker 4>I don't know. It's really hard to say. What we

0:46:41.239 --> 0:46:41.640
<v Speaker 4>can do.

0:46:41.719 --> 0:46:44.600
<v Speaker 7>The best way to test these is to look at

0:46:44.719 --> 0:46:47.680
<v Speaker 7>animal correlates and to look at closely related species that

0:46:47.760 --> 0:46:50.279
<v Speaker 7>have some key difference and kind of see how it

0:46:50.320 --> 0:46:53.080
<v Speaker 7>plays out. And you know, for example, if you look

0:46:53.120 --> 0:46:57.160
<v Speaker 7>at chimpanzees and bonobos. They're very closely related. They're sister species,

0:46:57.840 --> 0:47:00.520
<v Speaker 7>separated by about a million and a half year of

0:47:00.560 --> 0:47:03.920
<v Speaker 7>distinct evolution, and their sociality is very very different, and

0:47:04.000 --> 0:47:06.760
<v Speaker 7>a very short amount of time they developed very different

0:47:06.800 --> 0:47:09.799
<v Speaker 7>social structures. The bonobo seems to be a bit more

0:47:09.840 --> 0:47:13.840
<v Speaker 7>cooperative and egalitarian and gregarious. You know, they still have

0:47:13.960 --> 0:47:17.400
<v Speaker 7>some you know, competition and it can be ruthless, but

0:47:17.480 --> 0:47:20.160
<v Speaker 7>in general they're more pro social than the chimpanzees, which

0:47:20.160 --> 0:47:23.440
<v Speaker 7>are much more aggressive and hierarchical. But the common chipanzees

0:47:23.560 --> 0:47:26.280
<v Speaker 7>are more successful if you use numbers as your outfit,

0:47:27.400 --> 0:47:32.480
<v Speaker 7>so it's you know, our sociality, it was no guarantee

0:47:32.520 --> 0:47:35.319
<v Speaker 7>of success. So we don't really know. A lot of

0:47:35.480 --> 0:47:36.640
<v Speaker 7>social evolution.

0:47:36.360 --> 0:47:41.360
<v Speaker 6>Is speculative, but you know, when these hypotheses attract a

0:47:41.360 --> 0:47:44.200
<v Speaker 6>lot of attention and a lot of scrutiny, and you

0:47:44.239 --> 0:47:46.279
<v Speaker 6>have a lot of scientists who, you know, would try

0:47:46.320 --> 0:47:47.759
<v Speaker 6>to think of clever ways to test them.

0:47:47.800 --> 0:47:51.200
<v Speaker 4>So all we can do is say that this explanation.

0:47:52.120 --> 0:47:54.560
<v Speaker 7>Has so far held up and no a lot without

0:47:54.600 --> 0:47:56.799
<v Speaker 7>a time machine, we don't really know for sure. As

0:47:56.800 --> 0:48:00.520
<v Speaker 7>you said, behaviors don't fossilize, but archaeology does, and we

0:48:00.680 --> 0:48:05.239
<v Speaker 7>have a lot of evidence of an intricately pro social ancestry.

0:48:05.280 --> 0:48:07.479
<v Speaker 7>I mean, they're they're. My favorite fossil of all time

0:48:07.640 --> 0:48:10.359
<v Speaker 7>is called the old Man from Demonissi. He's it's a

0:48:10.400 --> 0:48:12.879
<v Speaker 7>fossil of a homoerectus from about two and a half

0:48:12.880 --> 0:48:15.200
<v Speaker 7>million years ago. And this is an old man who

0:48:15.239 --> 0:48:18.799
<v Speaker 7>lost all of his teeth and survived because we can

0:48:18.800 --> 0:48:20.960
<v Speaker 7>tell by the healing of his bones that he survived

0:48:20.960 --> 0:48:24.719
<v Speaker 7>for at least two years beyond having any teeth in

0:48:24.719 --> 0:48:29.080
<v Speaker 7>his head. How does one survive before you know, soft

0:48:29.160 --> 0:48:32.760
<v Speaker 7>cooked foods, you know, the only explanation is that somebody

0:48:32.800 --> 0:48:35.320
<v Speaker 7>was chewing his food for him, someone was preparing his food,

0:48:35.400 --> 0:48:38.239
<v Speaker 7>softening it. And why would you do this to this

0:48:38.320 --> 0:48:41.520
<v Speaker 7>old man who was a burden to his group because

0:48:41.560 --> 0:48:42.719
<v Speaker 7>he knew things.

0:48:42.880 --> 0:48:44.520
<v Speaker 3>Or maybe he was really fun to have around.

0:48:44.960 --> 0:48:49.359
<v Speaker 6>Yeah, he made him laugh, you know, But the point

0:48:49.440 --> 0:48:52.520
<v Speaker 6>is he contributed, like and that's I think, as far

0:48:52.560 --> 0:48:55.440
<v Speaker 6>as I know, the oldest evidence we have that that

0:48:55.800 --> 0:48:59.719
<v Speaker 6>just being older, you know, was a value to the

0:48:59.760 --> 0:49:02.719
<v Speaker 6>group because you old people know things, you know, they've been.

0:49:02.640 --> 0:49:06.120
<v Speaker 7>Around longer, they teach things, and so when and by

0:49:06.120 --> 0:49:08.080
<v Speaker 7>the way, that fossil does not stand alone. We have

0:49:08.120 --> 0:49:11.279
<v Speaker 7>a lot of other examples of clearly individuals that had

0:49:11.280 --> 0:49:14.440
<v Speaker 7>been helped by their group that by having all kinds

0:49:14.440 --> 0:49:17.759
<v Speaker 7>of you know, injuries and deformities and yet continue to

0:49:17.760 --> 0:49:19.480
<v Speaker 7>live for years on end, they couldn't have done that

0:49:19.520 --> 0:49:22.160
<v Speaker 7>without help. So we've been caring for each other, taking

0:49:22.200 --> 0:49:25.560
<v Speaker 7>care of each other, and also respecting each other's contributions.

0:49:25.600 --> 0:49:27.520
<v Speaker 7>We've been doing that for a very, very long time,

0:49:27.880 --> 0:49:31.759
<v Speaker 7>and I'm pretty convinced that that's that our sociality is

0:49:31.800 --> 0:49:32.960
<v Speaker 7>the key the key aspect.

0:49:33.160 --> 0:49:36.360
<v Speaker 3>What do you think is the sort of leading alternative hypothesis.

0:49:37.120 --> 0:49:39.480
<v Speaker 7>Well, there's a lot of people still to this day

0:49:39.680 --> 0:49:44.120
<v Speaker 7>who have a hard time accepting any benefits to the

0:49:44.200 --> 0:49:50.000
<v Speaker 7>group that a particular you know, genetic trade, certain adaptation

0:49:50.400 --> 0:49:53.120
<v Speaker 7>would have because if it doesn't directly benefit the individual

0:49:53.840 --> 0:49:58.560
<v Speaker 7>and quickly, some biologists, many biologists, can't see a way

0:49:58.560 --> 0:49:59.200
<v Speaker 7>that it would.

0:49:58.960 --> 0:49:59.600
<v Speaker 3>Be selected for.

0:50:00.080 --> 0:50:01.880
<v Speaker 7>I'm not convinced of that. I think that the tide

0:50:01.920 --> 0:50:05.320
<v Speaker 7>is turning against the opponents of group selection. The reason

0:50:05.360 --> 0:50:08.120
<v Speaker 7>why is it's not hard to imagine when you have

0:50:08.239 --> 0:50:11.960
<v Speaker 7>multiple groups competing against each other that a cooperative group

0:50:12.200 --> 0:50:15.800
<v Speaker 7>would outcompete a non cooperative.

0:50:15.239 --> 0:50:16.600
<v Speaker 4>Or less cooperative group.

0:50:17.800 --> 0:50:20.680
<v Speaker 7>And this is the work of Davis Loan Wilson, and

0:50:20.719 --> 0:50:23.600
<v Speaker 7>he's been ringing this bell for fifty years. And the

0:50:23.680 --> 0:50:26.520
<v Speaker 7>idea is that it's true that really competitive, kind of

0:50:26.560 --> 0:50:31.680
<v Speaker 7>antisocial instincts can be rewarded within a group, rewarded meaning success.

0:50:32.280 --> 0:50:35.400
<v Speaker 7>But when you have groups competing against each other, that

0:50:35.560 --> 0:50:39.600
<v Speaker 7>actually becomes the more powerful selective force. And to be honest,

0:50:39.680 --> 0:50:42.640
<v Speaker 7>Darwin mentioned this in the Descent of Man when he

0:50:42.680 --> 0:50:45.200
<v Speaker 7>talked about if you look at any two human groups

0:50:45.200 --> 0:50:49.120
<v Speaker 7>when they clash, the differences between them that determined which

0:50:49.120 --> 0:50:53.600
<v Speaker 7>group is successful is never genetic, right, It's always has

0:50:53.680 --> 0:50:57.600
<v Speaker 7>to do with something entirely non genetic, something social, something cultural,

0:50:57.680 --> 0:51:01.640
<v Speaker 7>something technological. And if you can imagine that same competition

0:51:01.760 --> 0:51:04.800
<v Speaker 7>playing out for millions of years, not just a few generations,

0:51:04.800 --> 0:51:07.520
<v Speaker 7>but millions of years, what you would see emerging is

0:51:07.680 --> 0:51:11.400
<v Speaker 7>very cooperative, pro social groups would tend to outcompete those

0:51:11.880 --> 0:51:12.520
<v Speaker 7>that aren't.

0:51:12.760 --> 0:51:15.680
<v Speaker 3>But isn't that social behavior somehow encoded in the gene

0:51:15.680 --> 0:51:18.800
<v Speaker 3>so indirectly, it is still a genetic advantage.

0:51:18.400 --> 0:51:19.120
<v Speaker 4>Right, It is?

0:51:19.280 --> 0:51:22.279
<v Speaker 7>It is and so and that's why I think group

0:51:22.400 --> 0:51:25.640
<v Speaker 7>selection is starting to experience this renaissance where people can

0:51:25.680 --> 0:51:28.480
<v Speaker 7>recognize that if the genes make you more social than

0:51:28.520 --> 0:51:30.839
<v Speaker 7>your whole group really is better. And if your group

0:51:30.920 --> 0:51:34.520
<v Speaker 7>is competing against the less one than those genes would accumulate.

0:51:34.880 --> 0:51:36.400
<v Speaker 7>You know, the jury still out on a lot of

0:51:36.440 --> 0:51:39.520
<v Speaker 7>these a lot of these questions. But one thing I

0:51:39.520 --> 0:51:44.080
<v Speaker 7>would point out is that competition and cooperation we think

0:51:44.120 --> 0:51:46.960
<v Speaker 7>of them as opposites, but actually they involve all of

0:51:47.000 --> 0:51:50.920
<v Speaker 7>the same skill sets, right, because to cooperate with someone

0:51:51.080 --> 0:51:53.360
<v Speaker 7>requires the same things to compete against them, you have

0:51:53.400 --> 0:51:55.200
<v Speaker 7>to understand them. You have to be able to predict

0:51:55.200 --> 0:51:57.799
<v Speaker 7>their behavior, you have to be able to manipulate them.

0:51:57.800 --> 0:51:59.920
<v Speaker 7>And whether that's good or bad, you know, depending on

0:52:00.200 --> 0:52:02.239
<v Speaker 7>who it is. But you know, if you can kind

0:52:02.280 --> 0:52:04.640
<v Speaker 7>of get someone to do what you want, you have

0:52:04.680 --> 0:52:07.000
<v Speaker 7>to understand them. So it's like empathy, and I mean

0:52:07.000 --> 0:52:09.920
<v Speaker 7>that is like emotional empathy, cognitive empathy. And when you

0:52:10.000 --> 0:52:12.080
<v Speaker 7>have that ability, you can either work with them or

0:52:12.080 --> 0:52:14.520
<v Speaker 7>work against them. So it's the same skill set. So

0:52:15.000 --> 0:52:17.880
<v Speaker 7>what the difference is who do you identify as groups?

0:52:17.880 --> 0:52:21.600
<v Speaker 7>So what makes you cooperative versus competitive is in group

0:52:21.680 --> 0:52:25.920
<v Speaker 7>versus outgroup identification, which to me still proves the point

0:52:25.960 --> 0:52:29.280
<v Speaker 7>that you had cooperative groups competing against each other. Cooperation

0:52:29.360 --> 0:52:32.719
<v Speaker 7>and competition do exist together at the same time in

0:52:32.760 --> 0:52:35.480
<v Speaker 7>the same individuals, and that's why you can have someone

0:52:35.520 --> 0:52:40.040
<v Speaker 7>who's you know, extremely you know, generous and nice to

0:52:40.120 --> 0:52:43.120
<v Speaker 7>his friends and absolutely ruthless to his enemies. I mean

0:52:43.160 --> 0:52:45.759
<v Speaker 7>the classic caces that Nazi soldiers used to come home

0:52:45.800 --> 0:52:48.040
<v Speaker 7>and kiss their children gently on the head, you know,

0:52:48.120 --> 0:52:52.360
<v Speaker 7>Like we're all capable of both evil and pro social acts.

0:52:53.400 --> 0:52:55.880
<v Speaker 7>Even on a dying we can switch, right, So, because

0:52:55.960 --> 0:52:57.759
<v Speaker 7>I think it's the same parts of our brain. It's

0:52:57.800 --> 0:53:00.160
<v Speaker 7>just whether or not we identify as pro social or

0:53:00.200 --> 0:53:06.160
<v Speaker 7>anti is in group outgroup identification, which is depressing given

0:53:06.280 --> 0:53:09.480
<v Speaker 7>the way the world is increasingly pitting us against each other.

0:53:09.680 --> 0:53:13.480
<v Speaker 3>Agreed, fascinating. Do you think when we meet aliens we

0:53:13.560 --> 0:53:16.680
<v Speaker 3>will discover the same sort of social structures there, and

0:53:16.719 --> 0:53:19.680
<v Speaker 3>the same sort of you know, arguments apply.

0:53:22.719 --> 0:53:26.680
<v Speaker 7>It's really hard to predict anything about how life outside

0:53:26.719 --> 0:53:29.239
<v Speaker 7>of you know, the selective pressures of Earth, how that

0:53:29.320 --> 0:53:30.080
<v Speaker 7>would evolve.

0:53:30.280 --> 0:53:32.640
<v Speaker 3>But the arguments you've made are fairly general, right.

0:53:32.760 --> 0:53:33.360
<v Speaker 4>Yeah, exactly.

0:53:33.440 --> 0:53:36.320
<v Speaker 7>It's very hard to imagine how a very anti social

0:53:36.360 --> 0:53:39.520
<v Speaker 7>species could ever evolve very far, and we see that

0:53:39.600 --> 0:53:42.040
<v Speaker 7>in our own planet, right, So there are some creatures

0:53:42.040 --> 0:53:44.480
<v Speaker 7>who have evolved to be very solitary as adults and

0:53:44.480 --> 0:53:47.160
<v Speaker 7>are fairly hostile to one another. The orangutan is our

0:53:47.200 --> 0:53:50.120
<v Speaker 7>closest relative that, at least among the males. They're just

0:53:50.600 --> 0:53:54.680
<v Speaker 7>generally hostile. They kind of hate each other. So it's

0:53:54.920 --> 0:53:59.200
<v Speaker 7>probably a dead end evolutionarily. It's hard to imagine getting

0:53:59.280 --> 0:54:01.719
<v Speaker 7>much And you know, Tasmanian devils are sort of the

0:54:01.719 --> 0:54:03.400
<v Speaker 7>same way that they pretty much hate one another.

0:54:03.719 --> 0:54:06.240
<v Speaker 3>So we're not going to be visited by space orangutangs,

0:54:06.560 --> 0:54:07.760
<v Speaker 3>that's your prediction.

0:54:08.800 --> 0:54:09.359
<v Speaker 4>Yeah, I think.

0:54:09.440 --> 0:54:11.640
<v Speaker 9>I think like if you if you watch Star Trek

0:54:11.680 --> 0:54:14.000
<v Speaker 9>and and and you know Galaxy, you know all of these,

0:54:14.280 --> 0:54:17.920
<v Speaker 9>it's hard to imagine the really nasty, anti ruthless ones

0:54:17.920 --> 0:54:19.520
<v Speaker 9>ever becoming that successful.

0:54:21.040 --> 0:54:23.480
<v Speaker 6>But I'm an optimist, so maybe that's where that's coming from.

0:54:23.560 --> 0:54:25.799
<v Speaker 6>Is I just refuse to believe that evil's gonna win?

0:54:26.800 --> 0:54:27.440
<v Speaker 4>But I don't know.

0:54:28.160 --> 0:54:30.359
<v Speaker 1>I think that attitude is helpful to keep us all

0:54:30.400 --> 0:54:31.280
<v Speaker 1>going personal.

0:54:31.360 --> 0:54:35.640
<v Speaker 7>Yeah, but even if it's wrong, it's a youthful illusion, right, Yeah.

0:54:35.480 --> 0:54:36.960
<v Speaker 1>I mean, you need something to get you up in

0:54:36.960 --> 0:54:38.399
<v Speaker 1>the morning. And get you out of bed and keep

0:54:38.400 --> 0:54:41.239
<v Speaker 1>you going personally. Maybe I'm speaking for myself now, but.

0:54:41.280 --> 0:54:44.040
<v Speaker 7>Yeah, well, use useful illusions. That's a whole area of

0:54:44.840 --> 0:54:47.560
<v Speaker 7>evolutionary thought as well. Useful illusions. I mean, free will

0:54:47.640 --> 0:54:49.240
<v Speaker 7>is very likely a useful illusion.

0:54:49.440 --> 0:54:52.040
<v Speaker 6>Even our sense of self as a as a as

0:54:52.080 --> 0:54:54.880
<v Speaker 6>an identity is a useful consciousness, useful illusion.

0:54:55.800 --> 0:54:58.640
<v Speaker 1>Yeah, well, we are getting into a whole new episode there,

0:54:58.760 --> 0:55:00.759
<v Speaker 1>and we will have you back on to talk about

0:55:00.760 --> 0:55:03.120
<v Speaker 1>that some other times. So thank you so much for

0:55:03.160 --> 0:55:10.560
<v Speaker 1>answering that question, and we'll chat with you later. Okay,

0:55:11.239 --> 0:55:15.080
<v Speaker 1>we're back to our regularly scheduled Daniel and Kelly programming.

0:55:15.680 --> 0:55:18.640
<v Speaker 1>So Karen also wanted to know why do we go

0:55:18.800 --> 0:55:22.160
<v Speaker 1>crazy if we're isolated and why doesn't that happen to

0:55:22.280 --> 0:55:25.359
<v Speaker 1>other species like whales? And so the first thing I

0:55:25.400 --> 0:55:28.359
<v Speaker 1>do when I have a question like why do we

0:55:28.400 --> 0:55:30.960
<v Speaker 1>go crazy? Is first I want to ask do we

0:55:31.000 --> 0:55:33.480
<v Speaker 1>go crazy? Let's make sure that there's evidence for that statement,

0:55:33.560 --> 0:55:35.880
<v Speaker 1>and so you know, first of all, I'll note that

0:55:36.080 --> 0:55:38.120
<v Speaker 1>some of us, there's a lot of variability and how

0:55:38.160 --> 0:55:42.480
<v Speaker 1>our species responds to social isolation. Some of us really

0:55:42.520 --> 0:55:47.440
<v Speaker 1>would rather be by ourselves. Yeah, yeah, but for some

0:55:47.480 --> 0:55:50.359
<v Speaker 1>of us, loneliness is detrimental to our health. And so

0:55:50.400 --> 0:55:54.040
<v Speaker 1>according to the Centers for Disease Control, social isolation and

0:55:54.120 --> 0:55:57.880
<v Speaker 1>loneliness can increase a person's risk for heart disease and stroke,

0:55:58.000 --> 0:56:02.800
<v Speaker 1>type two diabetes, depression and anxiety, suicidality and self harm, dementia,

0:56:02.880 --> 0:56:06.760
<v Speaker 1>and earlier death. Yikes. Okay, so lots lots of things.

0:56:07.200 --> 0:56:11.520
<v Speaker 1>And so why well, you know, we for species that

0:56:11.560 --> 0:56:14.720
<v Speaker 1>are social, our brains are sort of hardwired to expect

0:56:14.760 --> 0:56:17.399
<v Speaker 1>that level of connection. And so when we don't have

0:56:17.440 --> 0:56:21.200
<v Speaker 1>that connection, when you want that connection, that can be stressful.

0:56:21.200 --> 0:56:24.279
<v Speaker 1>And so there's evidence that people who are isolated, who

0:56:24.320 --> 0:56:28.360
<v Speaker 1>are feeling isolated and feeling lonely, they have higher levels

0:56:28.360 --> 0:56:31.320
<v Speaker 1>of stress hormones. So we have these like hormones that

0:56:31.360 --> 0:56:35.560
<v Speaker 1>our body releases when we're stressed out and in acute stressors.

0:56:35.760 --> 0:56:38.319
<v Speaker 1>So like you know, if you need to run out

0:56:38.320 --> 0:56:41.520
<v Speaker 1>in front of a car to pull your dog out

0:56:41.560 --> 0:56:44.440
<v Speaker 1>from you know, the path of the car, having a

0:56:44.640 --> 0:56:47.040
<v Speaker 1>big release of stress hormones is good because you you know,

0:56:47.120 --> 0:56:49.440
<v Speaker 1>you run out there quickly, you go back and your

0:56:49.480 --> 0:56:51.400
<v Speaker 1>body then returns to normal. Like it helps you in

0:56:51.440 --> 0:56:54.040
<v Speaker 1>that immediate moment. But if you have high levels of

0:56:54.080 --> 0:56:57.320
<v Speaker 1>stress hormones all the time, that's bad for your body.

0:56:57.320 --> 0:56:59.880
<v Speaker 1>It does things like mess with your immune system, and

0:57:00.200 --> 0:57:02.080
<v Speaker 1>if your immune system is messed up, then when you

0:57:02.120 --> 0:57:05.480
<v Speaker 1>get sick, you get sick worse. And it can do

0:57:05.600 --> 0:57:08.680
<v Speaker 1>things like increase your risk of type two diabetes, and

0:57:08.719 --> 0:57:10.719
<v Speaker 1>over time, it can make you sort of depressed and

0:57:10.800 --> 0:57:13.359
<v Speaker 1>anxious and stuff like that. And so this can have

0:57:13.400 --> 0:57:16.200
<v Speaker 1>negative impacts on our bodies, especially if you're feeling isolated

0:57:16.200 --> 0:57:19.880
<v Speaker 1>for a really long time. So Karen is right, being

0:57:19.920 --> 0:57:23.360
<v Speaker 1>isolated is definitely bad for your health, but it also

0:57:23.480 --> 0:57:26.480
<v Speaker 1>is bad for other social animals as well. So any

0:57:26.520 --> 0:57:30.560
<v Speaker 1>animal that's highly social does show evidence of being harmed,

0:57:31.120 --> 0:57:34.840
<v Speaker 1>like physically by being isolated socially. And I don't know

0:57:34.840 --> 0:57:37.040
<v Speaker 1>about whales in particular, because it's hard to do these

0:57:37.120 --> 0:57:40.600
<v Speaker 1>kinds of studies on big animals like whales, But there

0:57:40.640 --> 0:57:43.640
<v Speaker 1>are monkeys that have been in labs and we've infected

0:57:43.640 --> 0:57:47.280
<v Speaker 1>them with viruses, and if they're socially isolated, they show

0:57:47.320 --> 0:57:50.000
<v Speaker 1>similar things that you see in humans. They show high

0:57:50.080 --> 0:57:53.280
<v Speaker 1>levels of stress hormones, their immune systems don't respond to

0:57:53.320 --> 0:57:55.640
<v Speaker 1>the virus as well, and so you see more of

0:57:55.680 --> 0:57:58.320
<v Speaker 1>the virus particles moving around in their body, and they're

0:57:58.320 --> 0:58:01.320
<v Speaker 1>more likely to die from that viral infection. So very

0:58:01.320 --> 0:58:03.400
<v Speaker 1>similar to what we were talking about in humans.

0:58:03.760 --> 0:58:06.280
<v Speaker 3>That's a terrible experiment. Not only are you making the

0:58:06.320 --> 0:58:08.720
<v Speaker 3>monkey sick, but then you make them be on their

0:58:08.760 --> 0:58:11.280
<v Speaker 3>own and see if that makes it even worse.

0:58:12.760 --> 0:58:16.040
<v Speaker 1>Yeah, I mean so, there's a really interesting book by

0:58:16.120 --> 0:58:18.960
<v Speaker 1>Robert Sapolski called Why Zebras Don't Get Ulcers? And this

0:58:19.080 --> 0:58:21.520
<v Speaker 1>was an example he used in that book. And so

0:58:21.560 --> 0:58:23.720
<v Speaker 1>you know, monkeys are often used as a way of

0:58:23.760 --> 0:58:28.880
<v Speaker 1>trying to understand diseases that humans get associated by having

0:58:28.960 --> 0:58:32.920
<v Speaker 1>chronic stress, and that book is a really interesting look

0:58:32.920 --> 0:58:34.800
<v Speaker 1>at how chronic stress can impact a lot of different

0:58:34.840 --> 0:58:37.720
<v Speaker 1>aspects of our lives. But yes, I agree, that's a

0:58:37.720 --> 0:58:41.960
<v Speaker 1>horrible experiment. Here's another horrible experiment. Harry Harlowe in the

0:58:42.000 --> 0:58:44.480
<v Speaker 1>nineteen fifties in the nineteen sixties was living at a

0:58:44.520 --> 0:58:47.720
<v Speaker 1>time where people were arguing that the main reason babies

0:58:47.760 --> 0:58:50.520
<v Speaker 1>were attached to their moms is because they're a source

0:58:50.560 --> 0:58:52.600
<v Speaker 1>of food, and that's it. They're a source of food.

0:58:53.840 --> 0:58:55.080
<v Speaker 3>Is the wire monkey experiment?

0:58:55.160 --> 0:58:57.480
<v Speaker 1>This does the wire monkey experiment? Oh, my God. And

0:58:57.520 --> 0:58:59.840
<v Speaker 1>so so he was like, no, it's not just food.

0:59:00.320 --> 0:59:03.120
<v Speaker 1>It's because there's like there's comfort and love and that

0:59:03.200 --> 0:59:05.440
<v Speaker 1>and attachment and those things matter too. And so to

0:59:05.520 --> 0:59:09.480
<v Speaker 1>show that, he took infant reesiss monkeys and he created

0:59:09.600 --> 0:59:13.240
<v Speaker 1>two kinds of quote unquote moms. Both of them started

0:59:13.400 --> 0:59:16.920
<v Speaker 1>from a wooden and wire frame, but one of them

0:59:17.000 --> 0:59:21.240
<v Speaker 1>also had like a rubber or a foam support and

0:59:21.240 --> 0:59:23.480
<v Speaker 1>then a terry cloth on top of it. And he

0:59:23.520 --> 0:59:25.800
<v Speaker 1>alternated which one got a bottle, and so which got

0:59:25.840 --> 0:59:28.200
<v Speaker 1>a bottle which quote unquote mom, Yeah, got a bottle.

0:59:28.280 --> 0:59:31.920
<v Speaker 1>And so if like comfort didn't matter, the baby should

0:59:32.000 --> 0:59:34.720
<v Speaker 1>just stick to the bottle wherever the bottle was. But

0:59:34.760 --> 0:59:36.720
<v Speaker 1>it turned out if the bottle is on the wire mom,

0:59:36.960 --> 0:59:39.520
<v Speaker 1>the baby will go over to the wire mom, drink

0:59:39.560 --> 0:59:42.280
<v Speaker 1>its milk, and then immediately go back to the terry

0:59:42.280 --> 0:59:46.080
<v Speaker 1>cloth mom for support. So clearly it's more than just

0:59:46.160 --> 0:59:48.800
<v Speaker 1>where the bottle is. It wants to feel like the comfort.

0:59:49.240 --> 0:59:51.960
<v Speaker 3>And there's something just so sad about how a terry

0:59:52.040 --> 0:59:55.120
<v Speaker 3>cloth is a stand in for comfort, I know, if

0:59:55.160 --> 0:59:57.920
<v Speaker 3>not even the presence of another monkey. It's like this

0:59:57.960 --> 1:00:00.959
<v Speaker 3>thing is so desperate for love that a will find

1:00:01.000 --> 1:00:02.200
<v Speaker 3>comfort in a towel.

1:00:02.840 --> 1:00:05.520
<v Speaker 1>I know, I know. And then they also did experiments

1:00:05.520 --> 1:00:08.040
<v Speaker 1>where he just kind of put it in a space

1:00:08.200 --> 1:00:10.920
<v Speaker 1>like without any sort of comfort, and it would sort

1:00:10.920 --> 1:00:13.760
<v Speaker 1>of stare at the wall and go in circles and

1:00:13.840 --> 1:00:15.560
<v Speaker 1>just sort of freak out. And then if you would

1:00:15.600 --> 1:00:17.760
<v Speaker 1>put it and it would hurt itself. And then if

1:00:17.800 --> 1:00:20.160
<v Speaker 1>you put it in a room with other infant monkeys,

1:00:20.240 --> 1:00:22.680
<v Speaker 1>eventually it would be totally confused about how to interact

1:00:22.760 --> 1:00:25.360
<v Speaker 1>with them, and some of them stopped eating and would

1:00:25.440 --> 1:00:28.160
<v Speaker 1>pass away. And I should start this episode with a

1:00:28.240 --> 1:00:32.520
<v Speaker 1>disclaimer anyway, So he did a variety of experiments, and

1:00:32.760 --> 1:00:35.760
<v Speaker 1>the monkeys that had just the terry cloth were in

1:00:35.840 --> 1:00:38.040
<v Speaker 1>a much better shape, Like they would go out and

1:00:38.120 --> 1:00:41.160
<v Speaker 1>explore the environment, and they would like explore the environment

1:00:41.240 --> 1:00:43.320
<v Speaker 1>and then run back to the terry cloth mom if

1:00:43.320 --> 1:00:44.880
<v Speaker 1>they got scared, and then they would go back out

1:00:44.920 --> 1:00:47.440
<v Speaker 1>and explore again. And the one that didn't have a

1:00:47.520 --> 1:00:50.840
<v Speaker 1>terry cloth mom in the cage at all would just

1:00:50.920 --> 1:00:53.360
<v Speaker 1>kind of like sit in a corner, like huddled up,

1:00:53.440 --> 1:00:56.760
<v Speaker 1>sucking its thumb, being totally upset. And so anyway, the

1:00:56.800 --> 1:01:01.120
<v Speaker 1>point is, there are lots of other animals that really

1:01:01.160 --> 1:01:04.320
<v Speaker 1>need love in social connection as well, and so humans

1:01:04.720 --> 1:01:06.640
<v Speaker 1>we get totally messed up without it, but so do

1:01:06.720 --> 1:01:09.800
<v Speaker 1>other animals also, and so any animal that it seems

1:01:09.800 --> 1:01:12.760
<v Speaker 1>like any animal that's wired to need social connection who

1:01:12.800 --> 1:01:15.800
<v Speaker 1>misses who doesn't have it, really suffers from that.

1:01:15.880 --> 1:01:19.080
<v Speaker 3>This reminds me also of the sort of accidental terrible

1:01:19.120 --> 1:01:22.800
<v Speaker 3>experiment of the like Eastern European orphanages, where there were

1:01:22.800 --> 1:01:25.919
<v Speaker 3>a lot of kids that were sort of raised mechanically

1:01:25.960 --> 1:01:28.080
<v Speaker 3>in cribs and left in their cribs like most of

1:01:28.120 --> 1:01:31.120
<v Speaker 3>their childhood until there were seven, and then had difficulty

1:01:31.160 --> 1:01:32.880
<v Speaker 3>forming attachments, right, So I.

1:01:32.840 --> 1:01:36.960
<v Speaker 1>Think that was in Romania, Chowchescu outlawed birth control, and

1:01:37.000 --> 1:01:38.720
<v Speaker 1>so you ended up with a bunch of babies all

1:01:38.760 --> 1:01:41.320
<v Speaker 1>at once from a bunch of parents that were not

1:01:41.400 --> 1:01:44.080
<v Speaker 1>quite ready to take care of them. And maybe it

1:01:44.120 --> 1:01:46.720
<v Speaker 1>wasn't half, but a subset of those children were then

1:01:47.320 --> 1:01:50.920
<v Speaker 1>given to foster families, and you could compare the outcomes,

1:01:51.480 --> 1:01:54.640
<v Speaker 1>and the kiddos who ended up in foster families did

1:01:54.720 --> 1:01:58.000
<v Speaker 1>a lot better. And so yes, there's a lot of

1:01:58.040 --> 1:02:03.760
<v Speaker 1>evidence that even just getting hugs makes a huge difference. Okay,

1:02:03.760 --> 1:02:07.200
<v Speaker 1>And then the last question was what would happen if

1:02:07.200 --> 1:02:10.280
<v Speaker 1>a human lived its whole life without ever having contact

1:02:10.280 --> 1:02:14.120
<v Speaker 1>with another human. This is so depressing. This is where

1:02:14.120 --> 1:02:17.120
<v Speaker 1>we hope that Kelly is not going to cry here.

1:02:17.200 --> 1:02:21.800
<v Speaker 1>So the answer is nothing good. So for ethical reasons,

1:02:21.840 --> 1:02:23.680
<v Speaker 1>this is of course an experiment that we can't do.

1:02:24.880 --> 1:02:27.800
<v Speaker 1>And any experiments that have happened, you know, quote unquote

1:02:27.880 --> 1:02:32.120
<v Speaker 1>naturally have had like abuse layered on top of them,

1:02:32.200 --> 1:02:38.120
<v Speaker 1>so it's not like a clean experiment essentially. So let's see.

1:02:38.120 --> 1:02:40.600
<v Speaker 1>So there have been like quote unquote feral children that

1:02:40.680 --> 1:02:42.840
<v Speaker 1>have been like found out in the wilds, that have

1:02:42.880 --> 1:02:46.720
<v Speaker 1>been raised by animals. And in these cases, these children

1:02:47.000 --> 1:02:49.440
<v Speaker 1>had to have been at least for a while raised

1:02:49.920 --> 1:02:53.120
<v Speaker 1>with adults, because you know, they had to have been

1:02:53.240 --> 1:02:55.680
<v Speaker 1>born to adults. They had to have been raised up

1:02:55.720 --> 1:02:58.960
<v Speaker 1>until a point where they could you know, probably walk around.

1:02:59.400 --> 1:03:01.040
<v Speaker 3>Wolves can't nurse an infant, for.

1:03:01.000 --> 1:03:03.080
<v Speaker 1>Example, They're probably not going to nurse an infant, right

1:03:03.360 --> 1:03:05.400
<v Speaker 1>and so one, there's a lot of evidence that some

1:03:05.480 --> 1:03:08.920
<v Speaker 1>of these stories are actually just stories and didn't actually happen.

1:03:09.640 --> 1:03:13.200
<v Speaker 1>There's also some evidence that some of these are cases

1:03:13.240 --> 1:03:17.760
<v Speaker 1>of kids that hit age six or seven, their parents

1:03:17.880 --> 1:03:21.000
<v Speaker 1>identified that the kiddo had a disability, and they decided

1:03:21.080 --> 1:03:23.880
<v Speaker 1>they were just going to abandon the kid in the woods.

1:03:24.680 --> 1:03:27.880
<v Speaker 1>And then the kid was found, you know, months or

1:03:28.000 --> 1:03:33.080
<v Speaker 1>years later, and the kiddo had difficulty communicating, and it

1:03:33.120 --> 1:03:36.720
<v Speaker 1>wasn't necessarily clear if that was the disability or if

1:03:36.720 --> 1:03:40.439
<v Speaker 1>that was the time alone in the woods. And so

1:03:40.840 --> 1:03:44.960
<v Speaker 1>humans are horrible is really what I conclude from the

1:03:45.000 --> 1:03:49.040
<v Speaker 1>feral children examples. But in general, if there is a

1:03:49.120 --> 1:03:53.360
<v Speaker 1>lesson from the federal children's stories, it appears to be

1:03:53.440 --> 1:03:57.840
<v Speaker 1>that language is impacted. If there are any cases where

1:03:58.400 --> 1:04:03.120
<v Speaker 1>children who could have developed language normally were released out

1:04:03.160 --> 1:04:05.040
<v Speaker 1>into the wild, it seems that their language is impacted

1:04:05.080 --> 1:04:08.280
<v Speaker 1>and some of their ability to exhibit social behaviors that

1:04:08.280 --> 1:04:11.000
<v Speaker 1>we've come to expect from kids in society, things like

1:04:11.360 --> 1:04:14.360
<v Speaker 1>eating with a fork and knowing which behaviors are acceptable

1:04:14.360 --> 1:04:16.920
<v Speaker 1>when you're in private and which behaviors are acceptable when

1:04:16.960 --> 1:04:18.280
<v Speaker 1>you are in public, like.

1:04:18.280 --> 1:04:20.640
<v Speaker 3>Can you bring up poop at the dinner table? Only

1:04:20.640 --> 1:04:22.200
<v Speaker 3>if they're biologists.

1:04:21.600 --> 1:04:28.360
<v Speaker 1>There ex was Katrina Ferrell.

1:04:32.840 --> 1:04:35.880
<v Speaker 3>I'm just saying behavior is surprisingly context.

1:04:35.480 --> 1:04:39.120
<v Speaker 1>Depending it is it is okay. And then there are

1:04:39.120 --> 1:04:41.640
<v Speaker 1>a handful of kids that you'd maybe call cases of

1:04:41.680 --> 1:04:46.360
<v Speaker 1>isolation where they were kept in houses where they weren't

1:04:46.400 --> 1:04:50.000
<v Speaker 1>really interacting with people. But again this is isolation layered

1:04:50.040 --> 1:04:54.000
<v Speaker 1>with abuse, so it's not just isolation. So for example,

1:04:54.000 --> 1:04:56.640
<v Speaker 1>in the nineteen seventies, there was a kid named Genie

1:04:56.800 --> 1:04:59.800
<v Speaker 1>who for years was locked in a room by herself,

1:05:00.200 --> 1:05:04.240
<v Speaker 1>was tied to a toilet, and was abused by her father,

1:05:04.400 --> 1:05:08.600
<v Speaker 1>and eventually she was found and she had very few words.

1:05:08.600 --> 1:05:11.320
<v Speaker 1>She was able to develop some words with a little

1:05:11.320 --> 1:05:13.160
<v Speaker 1>bit of extra help, but she never was really able

1:05:13.200 --> 1:05:16.800
<v Speaker 1>to develop grammar. And so grammar seems to be maybe

1:05:16.880 --> 1:05:18.959
<v Speaker 1>something that we need to develop early if we're going

1:05:19.000 --> 1:05:21.400
<v Speaker 1>to develop it at all, or it needs to be

1:05:21.400 --> 1:05:23.720
<v Speaker 1>something that we hear a little bit when we're younger.

1:05:24.560 --> 1:05:28.080
<v Speaker 1>And she also had some trouble with understanding what was

1:05:28.120 --> 1:05:32.120
<v Speaker 1>societally acceptable, you know, again, like what is okay to

1:05:32.120 --> 1:05:34.480
<v Speaker 1>do in public? What is not okay to do in public?

1:05:35.440 --> 1:05:38.080
<v Speaker 1>You know, how close is it acceptable to be when

1:05:38.120 --> 1:05:41.200
<v Speaker 1>you're interacting with someone, stuff like that In general, like

1:05:41.400 --> 1:05:44.800
<v Speaker 1>I read through a couple cases before I felt like

1:05:45.560 --> 1:05:48.160
<v Speaker 1>I wasn't going to be able to not cry. And

1:05:48.200 --> 1:05:52.360
<v Speaker 1>it seemed like in general, language and meeting societal expectations

1:05:52.400 --> 1:05:56.640
<v Speaker 1>were the things that tended to get impacted most strongly

1:05:56.880 --> 1:05:59.160
<v Speaker 1>by these isolation things. But again, in all of these

1:05:59.200 --> 1:06:03.680
<v Speaker 1>cases you also have like abuse layered in, so it's complicated.

1:06:03.800 --> 1:06:06.400
<v Speaker 3>Isn't it amazing that you need like a license to

1:06:06.480 --> 1:06:08.360
<v Speaker 3>drive a car but not to become a parent.

1:06:08.600 --> 1:06:10.840
<v Speaker 1>Sometimes I do feel like it is amazing.

1:06:10.960 --> 1:06:14.000
<v Speaker 3>Yeah, all right, So bottom line it for us, Kelly,

1:06:14.080 --> 1:06:16.880
<v Speaker 3>what is the overall answer to Karen's question.

1:06:17.440 --> 1:06:19.360
<v Speaker 1>My brain is so mired right now and all of

1:06:19.400 --> 1:06:22.880
<v Speaker 1>the depressing stuff that we just talked about, I'm gonna

1:06:22.880 --> 1:06:25.240
<v Speaker 1>try to lift it up a little bit. So our

1:06:25.600 --> 1:06:30.560
<v Speaker 1>species does some absolutely amazing things socially, you know, so,

1:06:30.640 --> 1:06:34.680
<v Speaker 1>like we share information with each other that has resulted

1:06:34.880 --> 1:06:38.520
<v Speaker 1>in our ability to do things like create vaccines. Everybody

1:06:38.520 --> 1:06:41.280
<v Speaker 1>knows how excited I am about vaccines that like save

1:06:41.400 --> 1:06:44.840
<v Speaker 1>the lives of our children. We are able to share

1:06:44.880 --> 1:06:47.280
<v Speaker 1>technologies that heat our homes and make it so we

1:06:47.320 --> 1:06:52.320
<v Speaker 1>can live even in Virginia and love Virginia.

1:06:51.600 --> 1:06:54.720
<v Speaker 3>And on that point, make jokes which can like bring

1:06:54.840 --> 1:06:57.640
<v Speaker 3>light to the darkness and make people feel happy and

1:06:57.680 --> 1:06:59.560
<v Speaker 3>together even if they're something Yeah exactly.

1:06:59.560 --> 1:07:01.680
<v Speaker 1>And you know, these these horrible stories of isolation that

1:07:01.720 --> 1:07:04.000
<v Speaker 1>I read about part of why they're so horrible is

1:07:04.000 --> 1:07:08.480
<v Speaker 1>because they are really rare. And for example, I live

1:07:08.480 --> 1:07:12.600
<v Speaker 1>in a place where there's incredible support for you know,

1:07:12.720 --> 1:07:15.960
<v Speaker 1>for kiddos with disabilities, and there's just you know, incredible

1:07:16.000 --> 1:07:19.920
<v Speaker 1>school system, and there's just incredible support in general. And

1:07:20.000 --> 1:07:22.440
<v Speaker 1>so we are a species that in a lot of

1:07:22.480 --> 1:07:25.200
<v Speaker 1>cases takes care of each other. I would love to

1:07:25.240 --> 1:07:28.640
<v Speaker 1>see us make more progress there, but in general, you know,

1:07:28.680 --> 1:07:30.560
<v Speaker 1>there's a lot to be excited about it.

1:07:30.680 --> 1:07:32.680
<v Speaker 3>And so thanks to everybody out there who has a

1:07:32.800 --> 1:07:34.960
<v Speaker 3>job where you're taking care of people you're not directly

1:07:35.000 --> 1:07:39.160
<v Speaker 3>related to. Teachers and soldiers and firefighters and everybody out

1:07:39.160 --> 1:07:41.080
<v Speaker 3>there who's helping make the world a little bit of

1:07:41.120 --> 1:07:42.040
<v Speaker 3>a better place. Thank you all.

1:07:42.160 --> 1:07:42.320
<v Speaker 8>Yeah.

1:07:42.440 --> 1:07:44.120
<v Speaker 1>And one of the amazing things about our species is

1:07:44.160 --> 1:07:46.200
<v Speaker 1>I think that maybe we are the only species where

1:07:46.240 --> 1:07:49.080
<v Speaker 1>you really see altruism, where you'll see people make a

1:07:49.200 --> 1:07:53.440
<v Speaker 1>huge donation or something too an organization anonymously, where they

1:07:53.560 --> 1:07:56.480
<v Speaker 1>really don't expect to get anything in return. And so

1:07:57.120 --> 1:08:01.240
<v Speaker 1>way to go humans. We're not perfect, but a lot

1:08:01.280 --> 1:08:02.560
<v Speaker 1>of us do some good stuff.

1:08:04.640 --> 1:08:07.760
<v Speaker 3>And for all of these examples of terrible parenting, there

1:08:07.760 --> 1:08:10.800
<v Speaker 3>are millions and millions of people out there who just

1:08:10.960 --> 1:08:13.440
<v Speaker 3>love their kiddos to smithereens right.

1:08:13.400 --> 1:08:16.360
<v Speaker 1>Oh my gosh, yes, amen, all right.

1:08:16.600 --> 1:08:19.160
<v Speaker 3>And we love all of you, and we love all

1:08:19.200 --> 1:08:22.040
<v Speaker 3>of your questions and your curiosity and your desire to

1:08:22.200 --> 1:08:25.360
<v Speaker 3>know everything we do and don't know about this amazing,

1:08:25.479 --> 1:08:27.320
<v Speaker 3>beautiful and crazy universe.

1:08:27.600 --> 1:08:30.559
<v Speaker 1>And thank you to Karin for sharing your question with us.

1:08:30.760 --> 1:08:32.720
<v Speaker 1>I'm sorry it got so dark at the end there.

1:08:33.080 --> 1:08:35.400
<v Speaker 1>We look forward to hearing what you thought of the answer.

1:08:35.720 --> 1:08:38.559
<v Speaker 2>Hi, guys, thanks so much for answer my question. I

1:08:38.680 --> 1:08:41.519
<v Speaker 2>don't mind the long winded answer, and I thought it

1:08:41.560 --> 1:08:45.120
<v Speaker 2>was really interesting to take a tour of altruism throughout

1:08:45.160 --> 1:08:48.800
<v Speaker 2>the animal kingdom. I also thought it was interesting that

1:08:49.280 --> 1:08:53.479
<v Speaker 2>some animals will be promoting their genes by helping others

1:08:53.520 --> 1:09:00.800
<v Speaker 2>who are closely related to that. Thanks so much. Bye.

1:09:03.840 --> 1:09:07.680
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1:09:07.720 --> 1:09:10.280
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