WEBVTT

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This is Evolutionary Psychology the Podcast.

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Uh I am co-host David Petrozuski.

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Almost forgot your last name there.

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Well, it wouldn't be it wouldn't be that difficult to forget my last name.

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Um I was gonna well it doesn't matter.

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I was gonna say David Pinsoff, but then I had already said my I'm so I yeah.

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So you're David Pinsoff.

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I'm David Petrozowski.

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And this is Actual Evolutionary Psychology, the podcast, Actual Evolutionary Psychology.

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By Actual Evolutionary Psychologists.

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Enjoy

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David, today we have a wonderful guest, Patrick Durkey.

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Patrick does work confronting our folk intuitions about constructs like personality, for

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example.

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So he's done work with people like Aaron Lukashewski confronting the idea that as

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psychologists had sort of traditionally assumed personality was just there existing in the

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mind, he's been doing work kind of thinking about well, what would an adaptationist

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approach to this be?

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And very much in the Michael Graziano point of sometimes the first step is the wrong step,

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and assuming naively that the intuitive constructs like personality exist in the mind is

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sort of the wrong step.

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And so this is a lovely example of confronting what is personality, or what else do we talk

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about?

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Status, like what is status?

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Yeah.

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Yeah.

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I mean, you m you might think uh naively that status is a simple thing, and status seeking

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and status hierarchies are a simple thing.

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But in this episode, we really delve into the unfathomable complexity of what

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status is and how it touches on virtually every aspect of our lives, how it interacts with

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our personalities, um, how we look for niches to fill in our social world, and how social

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ecologies can affect our status seeking strategies and how you know moral progress can

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change what status games we play.

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Um, we even get into inspiration and what it means to be inspired to pursue a

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particular endeavor.

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Uh, this was a really fun, uh, wide-ranging conversation.

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I think you like it a lot.

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It was an inspirational episode, and we even get into like what our emotions or

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personality.

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What is personality from the perspective of like is personality sort of in a weird way the

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opposite of what free will is?

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Like I like this very cool thing that we're getting into.

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So by drilling down into the mechanistic details of the adaptations, we're also sort of

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making the familiar strange to use that lovely quote that John Alita used that was a quote

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from William James.

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So this is a lovely, inspiring, um, and and and nicely strange

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episode with Patrick Durkey.

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Agreed.

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Enjoy.

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Patrick Durkey, it's lovely to have you here.

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Um you are an expert in status, in personality,

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uh in different types of status and how personality traits might affect status acquisition

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and how good you are at seeking status.

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Um why don't we begin at the beginning and just try to define what status is.

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What exactly are we talking about?

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Oh Jesus, starting with or personality.

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The hardest possible problem, I guess.

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Generally, that's or justice or truth, whichever one is easiest.

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Reality.

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Yeah.

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Well, I think if you like look in the literature, like the definition of status that I

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think you'd see most often is something like the average kind of differences in attention,

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deference, control over resources, basically, that people have within a group.

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Okay.

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And yeah, I think that generally, like that's kind of the definition I've I've been working

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with.

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Um, but maybe just because that's the definition that is out there in the literature.

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Okay.

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I think like really what like I've been trying to work towards is more like, yeah, what

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is status like within the mind in a computational sense, or is status

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even a thing in the mind per se, or is it an emergent kind of thing that comes out of the

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computation is going on in the mind and what those computations actually look like, I

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guess.

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Hmm.

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So if if people pay attention to me and listen to what I say, and if I tell them to do

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things and they listen to me and they do it, and I have lots of stuff, then by your

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definition and by the definition in the academic literature, I have high status.

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Yeah.

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Okay.

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Um, and it seems to me that we also kind of need an explanation for why all

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those things go together, because in theory they could be decoupled.

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It could be that I have lots of stuff, but nobody listens to me or cares what I have to

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say.

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Um, it could be that everyone obeys my every command, but I'm very poor.

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Um so uh why do you think these things go together?

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Um I guess they the behavioral outputs like deference, attention, like might be

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outputs of of similar systems or the same system that depend on the same inputs, I suppose,

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is one.

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And one of those inputs might be something like yeah, resource holding potential, which is

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you know, from the animal like ecology literature, like then organisms

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ability to take or defend resources from other organisms and oh and

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also willingness to to do that.

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Right.

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Okay.

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So the so I maybe, you know, if you have lots of stuff, maybe I'll listen to you because

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you have the power to give me some of that stuff.

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Uh and I'll obey your command because if I do, then then maybe you'll share your stuff with

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me.

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And if I'm rude to you or I don't listen to you, uh, then you're not gonna share your stuff

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with me.

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Is that and so uh are there different types of status?

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Uh because I know a lot a lot of people in the literature think there are different types

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of status.

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Where do you fall uh in that debate?

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Yeah, I mean in the literature, you know, the biggest kind of popular distinction is

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between dominance on the one hand and prestige as different forms or

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different strategies or different routes to attaining status.

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And so, like, yeah, it gets a little dicey for me anyway, because I think really there's

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like one stat there's status.

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And they're I view dominance as prestige as different routes or different strategies to

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attaining status, at least that's in the literature.

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Um, but you I think it's also probably possible to think about these as completely like

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distinct forms of status.

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Um and maybe they're not even leading to the same outcome as like having status as an

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outcome of these things.

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And I think that that's contributed to a lot of confusion maybe in literature and in my own

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mind about like what what it is we're actually talking about when we're talking about

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status and the role of dominance and prestige in human

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status hierarchies.

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Um I've been thinking a bit about status myself.

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Um and I kind of want to run a definition by you, or at least how I'm thinking about it and

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see if you agree with me or not.

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Yeah.

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Um so I've been thinking about status as uh common knowledge of a

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person's relative value as a social partner and its downstream consequences

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on uh coalitions and alliances.

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Um, so this doesn't really assume that much because we already should have systems in

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the mind for evaluating uh the value of different social partners.

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Given that we are in a marketplace of partners, we're shopping around for potential

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friends, for potential mates, uh, for potential people to lead us in uh joint

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activities.

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Uh, we have some choice about who we're going to collaborate with.

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And in order to make good choices in that marketplace, we need to have some way of

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computing the value of different choices.

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Right.

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Um, and so if someone is just really valuable as a social partner, then it benefits me to

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pay attention to them and to try to uh be nice to them and form a relationship with them

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just because they're higher value.

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Um, and then the common knowledge of it uh is important because uh if I think you're really

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awesome but everyone else thinks you suck, well then you're not actually very awesome

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because a big part of your awesomeness is uh common knowledge of that awesomeness.

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Because um uh if you have lots of people who will take your side or

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cooperate with you, you're gonna be a much more valuable partner.

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But if everybody hates you and I'm the only one on your side, that's gonna be really bad

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for me.

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Um so uh it's not just your value, it's also we all need to know that everyone knows that

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you're awesome or that you're superior as a social partner.

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Uh and once we all have common knowledge that you are a really good social partner, well,

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it benefits us all to take your side in conflicts.

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Um and to try to form political alliances with you.

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Uh if there's some sort of political conflict where you're going to benefit and someone

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else is going to pay a cost, uh if you're the better partner, then it benefits everyone

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else to take your side.

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And if I know that everyone's going to take your side, then that benefits me even more if

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I'm going to take your side because I'm going to be in the majority.

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And so when there's common knowledge of your superior value, that creates a strong

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political incentive for all of us to have your back, to take your side, to oppose

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your enemies and support your friends.

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And to avoid ganging up on you and and gang up on your rivals, say, or

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to imitate you to try to signal our loyalty to you.

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Uh so that's how I'm thinking of it.

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It's common knowledge of a person's relative social value and its political implications.

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What do you what do you think about that way of thinking of it?

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Aaron Powell Yeah, I like that a lot.

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I think it's closely aligned with like how, for example, Aaron Luchesky and I have kind of

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talked about it too, which is kind of thinking about it like status is

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or like your representation of somebody's status in your social world is kind of capturing

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like your assessment of the collective like welfare trade-off ratios that people

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have towards that person.

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Where but I like the way you put it too just recognizing somebody's like relative social

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value as a cooperator or something like that.

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Um and yeah, because again, that helps you, like you said, to kind of figure out like what

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are some good strategic alliances to make, what who should I support in conflict, um, who

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should I defer to because they have XYZ people backing them up and that sort of thing.

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And that's very similar to, for example, like when I took a class with with John Patton

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back in the day, like right at the beginning of when I was getting into evolutionary

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psychology, it's very similar to how he viewed status as well as this kind of like

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marker of who's got the coalitional support behind them and who has more coalitional

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support.

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And again, that and that really does tie in with the biological literature in a lot of

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ways, just with more individuals when it comes down to resource holding potential.

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It's if things came down to a in a conflict over a resource or a decision,

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um, who has more resource holding potential in order to win that that

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conflict.

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And it the thing that makes it trickier in humans, or apparently seemingly trickier in

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humans, is that the way you get more people on your side in the conflict is not by forcing

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them, probably, to fight for you.

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Maybe that works in some situations, but probably an easier thing is to have people just

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genuinely want you around and want you to continue to exist and

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want you to have things your way, either because that benefits them or because they

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actually value so value you so highly that they just want you to have uh things a certain

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way.

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Uh that's yeah.

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Oh go ahead, David.

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Um I was just gonna maybe segue into where personality fits into this

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picture.

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Um do some personality traits lend themselves to status seeking

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or higher status?

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Um do we seek status in different ways based on our personality?

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Uh what do you think is the role between personality and status?

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Yeah, so I think it might help, yeah, to kind of back up into still stay in the maybe

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the status realm a little bit and figure out, yeah.

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So if you want to know like what personality traits might be useful for getting status,

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navigating style status hierarchies, maybe we should make a little bit more explicit, like

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what well, how do you get status in the first place?

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Like, what is the currency of status?

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I think, and which we've already kind of been talking about a little bit with this like

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dominance versus prestige distinction and figuring out like what is status.

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So I guess if we were gonna work with like this definition that status is like this

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collective recognition of basically other people valuing you and being willing to

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come to your defense or your aid over in a conflict,

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then we have to figure out like how do you get people to increase their valuation of you is

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the key there.

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Just going back like to the logic of costs and benefits, right?

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That's something we've talked a lot a lot about.

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Is it should be generating benefits for people.

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So either you're really good at generating benefits for people, or at least you're willing

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and and or you're willing to try to do those things.

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So this is actually a like a to be comment at one of my talks like as my first year of a

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PhD student.

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I was talking about some of my status work and talking about yeah like generating benefits

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versus generating costs.

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And he was basically like well shouldn't you split these into like ability and willingness

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to do these things?

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Cause maybe they don't always go together.

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You can be able to generate costs, but I mean able to yeah, able to inflict costs or able

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to generate benefits, but you're not particularly like willing to do any of those things.

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And that really changes the kind of calculus for me as a potential victim or beneficiary

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of those said costs or benefits.

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To know, you know, are you willing to impose costs on me?

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Or are you just able to?

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Are you willing to generate benefits?

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Do you specifically want to generate benefits for me?

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Or are you just able to to do that?

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And also I would imagine if it's obligatory, like which is a weird way to think, but sort

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of just there's some things where I can't control it or you can take advantage of it.

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So if I just am really good at doing something, um, just for example, no, but yeah, like

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you know, like I don't know, like I'm I can build really good wells or something, uh

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something dumb example like that, but then you benefit, it's an externality, but I can't

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monopolize it, then my willingness doesn't matter in that context.

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Yeah.

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Yeah, exactly.

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And so it's it is like separable.

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They don't always have to go together.

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You don't have to be both able and willing, but both of those are aspects of the decision

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about like how much status or how much uh of another person value you.

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Um that's a really interesting point, Dave, that the there is an aspect of be of

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benefiting from someone that is independent of willingness.

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Like you could just benefit me by accident, you know?

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Yeah.

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Just by uh for example, building a well that maybe you're just building the well because

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you personally want water.

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Uh well, as soon as you build that well, um, it's available for me to use as well.

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And so you may hate me and you may not care about me at all, but you your mere ability to

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build the well is a benefit to me in the same way that you know a a tree's existence is a

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benefit to me if I can sit in its shade.

00:15:30.800 --> 00:15:35.360
Uh the tree doesn't actually care about me, but its its existence uh is beneficial to me.

00:15:35.440 --> 00:15:39.040
So that's another aspect that you can think of as willingness, ability, and the

00:15:39.040 --> 00:15:41.520
externalities of the person's activities.

00:15:42.000 --> 00:15:46.610
Yeah, I I even wonder like some famous people sort of sometimes complain about people

00:15:46.610 --> 00:15:49.730
feeling or like feeling like people don't actually care about them.

00:15:49.890 --> 00:15:54.130
Um, and I wonder if that's like an example of this psychology where you're like, like if

00:15:54.130 --> 00:15:58.930
I'm buddies with Harrison Ford, I'm walking down the street, I get status just by virtue of

00:15:58.930 --> 00:16:00.770
like being around him, right?

00:16:01.090 --> 00:16:05.490
From me as the hanger on, I'm just sort of looking at it as like I'm using Harrison Ford to

00:16:05.490 --> 00:16:09.700
get some status because just the knowledge that like I have a picture with him or I'm just

00:16:09.700 --> 00:16:11.380
next to him gives me status.

00:16:11.540 --> 00:16:14.100
Harrison Ford can't sort of control that.

00:16:14.260 --> 00:16:14.980
Um, right.

00:16:15.140 --> 00:16:20.660
And so I think that that expression that um that people aren't actually

00:16:20.660 --> 00:16:26.420
interested in me, um, because they're using me to get status in some other way suggests

00:16:26.500 --> 00:16:30.500
like that there's the psychology assessing whether it's obligatory or not.

00:16:31.150 --> 00:16:32.990
So it uh it's really complicated.

00:16:33.390 --> 00:16:33.550
Yeah.

00:16:33.790 --> 00:16:38.750
Willingness, ability, externality, these these are hard problems for the mind to solve.

00:16:38.910 --> 00:16:44.830
Um because it's not clear, you know, just by looking at someone's behavior, listening to

00:16:44.830 --> 00:16:49.310
what they say, it's not clear how to carve that up into things they can do, things they're

00:16:49.310 --> 00:16:53.230
willing to do, things that are just happening by accident as an externality or as a

00:16:53.230 --> 00:16:55.310
byproduct of their activities.

00:16:56.060 --> 00:17:00.780
Do you have any inkling about how we solve these problems of how we figure figure out like

00:17:01.020 --> 00:17:06.700
who's capable of conferring benefits or who's willing or or whose uh

00:17:06.700 --> 00:17:08.700
activities are beneficial to us?

00:17:09.180 --> 00:17:14.300
Yeah, I think at like a certainly a a rough kind of level, it's something I've been

00:17:14.300 --> 00:17:14.700
thinking about.

00:17:14.780 --> 00:17:19.630
But I also like recognize like something I came to recently and doing some, I guess I call

00:17:19.630 --> 00:17:23.870
them agent-based models, like trying to figure out how an agent figure out like what things

00:17:23.870 --> 00:17:28.990
increase status, like what things like how much how important is cost infliction versus

00:17:28.990 --> 00:17:32.510
benefit generation in getting status in my local community.

00:17:32.670 --> 00:17:38.110
And at least in the models that I've been working with, like I have to already imbue the

00:17:38.110 --> 00:17:41.600
agent with an idea of benefit versus cost.

00:17:41.760 --> 00:17:45.040
And obviously I have no idea how how that really works.

00:17:45.360 --> 00:17:49.440
Like how do we know whether something is is a benefit or or a cost?

00:17:49.600 --> 00:17:53.040
Like I guess Daniel Sneeser's work touches on the value.

00:17:53.120 --> 00:17:55.680
How do you figure out what the value of things are?

00:17:55.920 --> 00:18:01.390
And maybe some of that is over deep evolutionary time you can get some good priors

00:18:01.710 --> 00:18:03.390
going about certain things.

00:18:03.550 --> 00:18:08.750
But a lot of things related to status, I think are pretty culturally variable or variable

00:18:08.750 --> 00:18:14.750
across contexts or across time, about their relative usefulness or their relative

00:18:14.750 --> 00:18:16.910
cost or benefit potential.

00:18:17.230 --> 00:18:21.390
And so it it would require, yeah, an agent to kind of figure out through an organism to

00:18:21.390 --> 00:18:26.760
figure out throughout development and like what are the relative values of different acts

00:18:26.760 --> 00:18:29.480
or characteristics or events?

00:18:29.640 --> 00:18:33.320
Like what events should I want to happen versus not want to happen?

00:18:33.480 --> 00:18:38.200
What are some characteristics that would be good to cultivate or skills that would be good

00:18:38.200 --> 00:18:38.760
to learn?

00:18:38.920 --> 00:18:43.400
Or what are some actions that are are good to do for status versus not good to do for

00:18:43.400 --> 00:18:43.880
status?

00:18:44.090 --> 00:18:49.610
So kind of the way I'm putting it together now is yeah, trying to say like if an agent is

00:18:49.610 --> 00:18:55.370
born in with some like rough, maybe some rough priors, that costs and benefits are

00:18:55.370 --> 00:19:01.210
a core dimension or two dimensions of accruing status in your local,

00:19:01.370 --> 00:19:06.650
in your local social world, then how do you just figure out the relative importance of

00:19:06.650 --> 00:19:06.970
each?

00:19:07.130 --> 00:19:12.490
Yeah, like of all the things you could do, what's like the rank ordering of things that

00:19:12.490 --> 00:19:16.980
would be good for generating benefits and then what's like the rank order of things that

00:19:16.980 --> 00:19:22.500
would be good for inflicting costs or characteristics that would allow me to uh inflict

00:19:22.500 --> 00:19:28.100
costs versus generate benefits and then using those things try to basically

00:19:28.100 --> 00:19:33.940
bootstrap your way to an idea of what what is the status value of these things like if I

00:19:33.940 --> 00:19:38.900
were to do this act versus this act, how can I get a rank ordering of what skills would be

00:19:38.900 --> 00:19:43.750
good to cultivate or what events should I seek out or avoid and that that kind of stuff.

00:19:43.830 --> 00:19:48.710
And at least in like, you know, my little cartoonish simulator world, you can kind of do

00:19:48.710 --> 00:19:53.990
this from some early observations, like throughout development, you can get a sense of when

00:19:53.990 --> 00:19:59.430
people have done this thing, either maybe I get through communications or gossip or

00:19:59.430 --> 00:20:03.270
whatever between other people, or just from observations of people's emotional reactions.

00:20:03.430 --> 00:20:06.870
You can maybe assign like that seems like more of a cost than this thing.

00:20:07.110 --> 00:20:09.910
People didn't like this as much as this thing, that kind of thing.

00:20:10.230 --> 00:20:15.700
And from there, you can kind of correlate, okay, what's like the like the value of these

00:20:15.700 --> 00:20:19.540
things with the status that I see out there in the world.

00:20:20.020 --> 00:20:24.580
And once you have that kind of correlation, then you can for a given act that you haven't

00:20:24.740 --> 00:20:30.020
maybe you haven't seen the the status value of hunting a particular animal or something.

00:20:30.100 --> 00:20:30.500
You don't know.

00:20:30.580 --> 00:20:35.860
It's an empty slot in your mind, but you you know how much people like that thing or don't

00:20:35.860 --> 00:20:37.460
like the taste of it or whatever.

00:20:37.620 --> 00:20:42.790
Then you can use your predictive model that you've generated about like the lay of the land

00:20:42.870 --> 00:20:47.830
in terms of what's the association between value and status or benefit generation and

00:20:47.830 --> 00:20:53.030
status to like get an estimate of the status impact or the status value of hunting that

00:20:53.030 --> 00:20:55.270
thing that you've haven't hunted before.

00:20:55.510 --> 00:21:00.070
And if that is a higher status value than maybe alternative things that you could hunt or

00:21:00.070 --> 00:21:04.070
alternative actions you could take, then that's a pretty good way to kind of figure out

00:21:04.070 --> 00:21:06.150
what should I do to try and increase my status.

00:21:06.950 --> 00:21:12.480
It's it seems like a a really important and underappreciated subsidiary problem is

00:21:12.480 --> 00:21:18.480
knowing what uh courses of action are even uh likely to achieve your goals.

00:21:18.640 --> 00:21:24.560
So like maybe I figure out that being a great basketball player is gonna get me lots

00:21:24.560 --> 00:21:25.200
of status.

00:21:25.600 --> 00:21:29.840
But whether I am capable of becoming a good basketball player is itself another problem I

00:21:29.840 --> 00:21:30.550
need to figure out.

00:21:30.710 --> 00:21:34.630
Maybe I'm never going to be a good basketball player and it's a waste of time and energy

00:21:34.630 --> 00:21:35.350
for me to try.

00:21:35.510 --> 00:21:37.430
Maybe I should try to do something else instead.

00:21:37.590 --> 00:21:42.230
So in addition to computing the value of being a basketball player, I need to estimate my

00:21:42.230 --> 00:21:47.350
own capability or my own likelihood of actually achieving that goal or how achievable or in

00:21:47.350 --> 00:21:49.030
control that thing is.

00:21:49.270 --> 00:21:54.040
Maybe the things that give me high status or give people high status are completely out of

00:21:54.040 --> 00:21:54.600
my control.

00:21:54.840 --> 00:21:56.360
In which case, we know what do I do then?

00:21:56.440 --> 00:21:57.960
Or maybe it's totally in my control.

00:21:58.120 --> 00:22:01.240
Uh and and I'm, you know, I stand a really good chance of being a good basketball player

00:22:01.320 --> 00:22:02.680
and I should really invest in this.

00:22:02.840 --> 00:22:05.800
Um and so that that to me is another interesting problem.

00:22:05.880 --> 00:22:11.800
And I suspect um our the emotion of inspiration might have uh evolved to

00:22:11.870 --> 00:22:12.670
solve that problem.

00:22:12.750 --> 00:22:17.630
That if there's a really high likelihood that investing time and energy into this activity

00:22:17.630 --> 00:22:22.030
is going to pay off in the long term in terms of my status, I should feel really inspired

00:22:22.030 --> 00:22:24.830
and energized to invest in that activity.

00:22:24.990 --> 00:22:29.710
But if if there's nothing I can do to become uh a good basketball player, I should feel the

00:22:29.710 --> 00:22:30.670
opposite of inspired.

00:22:30.750 --> 00:22:31.630
I should feel depressed.

00:22:31.710 --> 00:22:36.590
Or I should I should withdraw from that activity and look for other more inspiring uh uh

00:22:36.590 --> 00:22:37.310
investments.

00:22:37.470 --> 00:22:39.310
Uh, do you do you buy that way of thinking?

00:22:39.710 --> 00:22:40.400
Yeah, I like that.

00:22:40.480 --> 00:22:45.440
That's kind of like a direction I was kind of hoping to head next after like trying to lay

00:22:45.440 --> 00:22:50.480
out some groundwork for how the mind might solve the problem of just like what contributes

00:22:50.480 --> 00:22:51.280
to status?

00:22:51.520 --> 00:22:55.120
What are the things an organ an individual in my group or me could do?

00:22:55.280 --> 00:22:58.720
Or if somebody did this thing, how much status are they likely to get?

00:22:58.960 --> 00:23:04.080
And then from there figure out, okay, now how do I, as an individual, navigate the status

00:23:04.080 --> 00:23:04.880
hierarchy?

00:23:04.960 --> 00:23:07.650
Um, what would be s a good thing for me to try to do?

00:23:07.730 --> 00:23:10.930
Because yeah, obviously there's some things that maybe wouldn't be a good route for you,

00:23:11.010 --> 00:23:11.490
like you said.

00:23:11.730 --> 00:23:15.730
Yeah, and I've kind of been thinking I haven't thought about inspiration per se, but I have

00:23:15.890 --> 00:23:19.250
one project that has been like languishing for far too long.

00:23:19.490 --> 00:23:25.410
It is I've been trying to like work out a distinction between two emotion programs

00:23:25.410 --> 00:23:27.410
for navigating hierarchies.

00:23:27.570 --> 00:23:33.480
I'm not gonna say the names of the emotions uh Because because yeah, I just feel like the

00:23:33.480 --> 00:23:37.320
the language, the full terminology of emotions can get in the way sometimes here.

00:23:37.480 --> 00:23:42.520
But basically, I think there's one like emotion program that is basically just trying to

00:23:42.520 --> 00:23:48.360
figure out who has status and coordinates behavior in an appropriate

00:23:48.360 --> 00:23:48.600
way.

00:23:48.760 --> 00:23:53.160
You know, like don't get into con unnecessary conflicts with people who have higher status

00:23:53.240 --> 00:23:56.710
or you know, show deference, whatever, just by tracking who has status.

00:23:56.790 --> 00:24:01.110
Like the input is just somebody else's status or a status increasing characteristic that

00:24:01.110 --> 00:24:01.830
somebody has.

00:24:02.070 --> 00:24:06.070
It gets activated and you do appropriate behaviors, you know, the rough sketch of it.

00:24:06.230 --> 00:24:10.550
But there's another one kind of going along with what you're talking about, which is

00:24:10.550 --> 00:24:12.870
figuring, okay, like how do I get status?

00:24:13.030 --> 00:24:18.790
How do I learn the skills and characteristics that will allow me to get

00:24:18.790 --> 00:24:19.350
status?

00:24:19.640 --> 00:24:24.120
And there I think there's another emotion program which tracks other dimensions in addition

00:24:24.120 --> 00:24:26.440
to like, does this person have status?

00:24:26.760 --> 00:24:32.600
On top of that, it's also, yeah, like, is this does this person have status in the

00:24:32.600 --> 00:24:37.400
domain or in an area that I am trying to get status in?

00:24:37.960 --> 00:24:42.600
So if I'm an academic, you know, are they also an academic?

00:24:42.910 --> 00:24:47.310
And also it's tracking things like, yeah, is this a skill that is, I don't know,

00:24:47.470 --> 00:24:50.350
cultivatable or practicable or something like that?

00:24:50.510 --> 00:24:55.710
You know, um, something that you could work on to improve versus oh that they're just tall

00:24:55.790 --> 00:24:58.430
and that get like, you know, that's not something you change.

00:24:58.670 --> 00:25:04.670
Um, and so there I think that's like the beginnings of a new kind of set of

00:25:04.670 --> 00:25:10.440
inputs and a new set of outputs that are designed to maybe try to emulate that

00:25:10.440 --> 00:25:16.200
person, learn from that person, you know, seek closeness to that person.

00:25:16.440 --> 00:25:21.880
And I think that's more of like uh yeah, a different kind of strategy for cultivating those

00:25:21.880 --> 00:25:25.640
skills, finding basically like role models or people to emulate.

00:25:25.880 --> 00:25:31.480
And then just to go another step, because in that realm, if you're just based on those two

00:25:31.480 --> 00:25:37.410
inputs of um, you know, this person maybe is getting status or they

00:25:37.410 --> 00:25:43.170
have status, and they have skill in an area that I'm trying to get status in, basically.

00:25:43.410 --> 00:25:47.330
Then you could also run into this problem where you don't want to necessarily be emulating

00:25:47.330 --> 00:25:48.450
competitors.

00:25:49.330 --> 00:25:53.810
Or you don't want to maybe you can't like buddy buddy up with competitors, or maybe it

00:25:53.810 --> 00:25:57.570
would be like it would hurt your status to acknowledge that they have status.

00:25:58.220 --> 00:26:02.300
Um and in that case, I think then you also need to have this other input being tracked,

00:26:02.380 --> 00:26:03.980
which is like, is this a competitor?

00:26:04.140 --> 00:26:10.060
And maybe there's lots of cues to that, like age or uh yeah, I don't

00:26:10.060 --> 00:26:11.900
know, age is one I'm thinking of right now.

00:26:11.980 --> 00:26:13.420
Uh but I don't can't think of others.

00:26:13.660 --> 00:26:15.180
Age, gender, that kind of stuff.

00:26:15.260 --> 00:26:18.700
Maybe or just like the nature of the thing, right?

00:26:18.890 --> 00:26:22.490
Where it's sort of like if you're a really good musician and I'm a good musician, but we

00:26:22.490 --> 00:26:26.890
play different instruments, just a stupid example, versus we play the same instrument and

00:26:26.890 --> 00:26:28.730
the kind of music we play is just rival.

00:26:28.970 --> 00:26:32.650
Like like you can there's only one lead guitar, you know, and that's what I want to do and

00:26:32.650 --> 00:26:33.290
that's what you do.

00:26:33.370 --> 00:26:33.530
Yeah.

00:26:33.770 --> 00:26:34.010
Yeah.

00:26:34.570 --> 00:26:35.130
For sure.

00:26:35.450 --> 00:26:35.610
Yeah.

00:26:35.690 --> 00:26:39.850
And so I think those there's like those three kinds of I don't know if they need to be

00:26:39.850 --> 00:26:44.720
entirely separate emotion programs, but the I think they can be they lead to different

00:26:44.720 --> 00:26:49.840
outputs and they track some at different inputs, even if they have overlapping inputs.

00:26:50.080 --> 00:26:54.800
And I think, yeah, the way I've been thinking about it is like they're kind of what folk

00:26:54.960 --> 00:26:59.600
terminology of like respect versus admiration might be.

00:26:59.760 --> 00:27:04.560
Like respect is kind of like that baseline one that's just tracking like what do who has

00:27:04.560 --> 00:27:05.200
status?

00:27:05.440 --> 00:27:10.400
What are did you do something that's status worthy of like you know, respect, whatever?

00:27:10.790 --> 00:27:14.150
And then admiration, like who do I emulate?

00:27:14.390 --> 00:27:19.670
Um, and then maybe envy is more like that other one of like this you're competing in the

00:27:19.670 --> 00:27:24.550
same in the same area and you need a different set of of outputs in order to solve that

00:27:24.550 --> 00:27:24.790
problem.

00:27:25.110 --> 00:27:26.150
Yeah, I I like this.

00:27:26.230 --> 00:27:30.790
What what you're both saying is like this idea of status as a learning problem is super

00:27:30.790 --> 00:27:31.110
cool.

00:27:31.350 --> 00:27:33.990
And David, I love this idea of um inspiration.

00:27:34.230 --> 00:27:38.310
I just looked up like what are inspiring movies, and one of them, the top on the list, is

00:27:38.310 --> 00:27:38.870
Rudy.

00:27:38.940 --> 00:27:43.020
And if anybody doesn't know the story of Rudy, you know, it's like this kid who's like

00:27:43.020 --> 00:27:48.060
small, doesn't think he's going to make it on college Notre Dame football, which is like

00:27:48.060 --> 00:27:50.380
the storied prestigious thing.

00:27:50.620 --> 00:27:52.620
He just works really, really hard at it.

00:27:52.780 --> 00:27:57.900
And just by virtue of being the underdog, it's this inspirational story of the underdog by

00:27:57.900 --> 00:28:03.790
means that are not traditional or were opaque and doesn't have like he's not strong, you

00:28:03.790 --> 00:28:06.830
know, like an underdog story is not like, well, my dad's a senator.

00:28:06.910 --> 00:28:11.950
I'm, you know, six foot five and, you know, super muscular and, you know, and like an and

00:28:11.950 --> 00:28:14.110
I'm look and I'm playing on the Notre Dame football.

00:28:14.190 --> 00:28:18.750
Like that's a terrible movie, you know, but this is like he's he's a janitor, you know, and

00:28:18.750 --> 00:28:23.900
he's like, you know, cleaning the stands, but he loves this the team and his heart is in

00:28:23.900 --> 00:28:28.060
it, and he wants to be affiliated with the group.

00:28:28.140 --> 00:28:31.260
Um, and there's no guy, like you know, there's no guile.

00:28:31.500 --> 00:28:34.780
It's all just sort of I love the team, and he doesn't want his own status.

00:28:34.860 --> 00:28:37.100
And this is an inspirational story.

00:28:37.260 --> 00:28:43.180
Um, it suggests that the means, there's a system that always keeps

00:28:43.180 --> 00:28:45.260
the outcomes there that we might want.

00:28:45.340 --> 00:28:51.170
Like, you know, I I watch somebody I learn that uh being uh

00:28:51.410 --> 00:28:57.170
winning a fight is a good thing but I might be small you know and I can't

00:28:57.170 --> 00:29:02.210
actually do the same thing like I can't win the fight like the big guy I just saw it would

00:29:02.210 --> 00:29:06.610
be a bad design to dump that as being a good thing even if I don't think I can do that now

00:29:06.770 --> 00:29:11.660
because maybe if I team up with four other small guys, we can still do it.

00:29:11.740 --> 00:29:11.980
Right.

00:29:12.140 --> 00:29:17.260
So I think like there's this really interesting, complicated compositional structure where

00:29:17.260 --> 00:29:21.020
there's sort of what are the expected reasonable means?

00:29:21.420 --> 00:29:23.820
What are the ones that I can probabilistically do?

00:29:23.900 --> 00:29:28.220
But then there's like some outcomes where it's like unlikely, but there's always interest

00:29:28.220 --> 00:29:33.740
and attention on if I discover unsurprising means, means that I didn't see,

00:29:34.090 --> 00:29:34.810
attend to that.

00:29:34.890 --> 00:29:39.130
And I think that's what like movies like Rudy or underdog movies in general, I think like

00:29:39.210 --> 00:29:45.050
why people watch them is because it's providing the input of this is an outcome that

00:29:45.050 --> 00:29:46.010
people would want.

00:29:46.650 --> 00:29:51.610
But I'm there's a there's a scenario here of it's surprising given what the can

00:29:51.610 --> 00:29:54.250
preconditions are that this outcome happened.

00:29:55.520 --> 00:29:55.840
Yeah.

00:29:56.000 --> 00:29:56.320
Yeah.

00:29:56.720 --> 00:30:02.400
And a lot of like like the motivational self-help industry is about trying to

00:30:02.400 --> 00:30:07.040
inspire people and making them think that they're more capable of achieving high status

00:30:07.040 --> 00:30:08.560
than they might have thought.

00:30:08.800 --> 00:30:14.160
Um and it's an interesting question why we're so vulnerable to to being uh

00:30:14.400 --> 00:30:18.310
misled about those like because a lot of people just really are you know, probably not

00:30:18.310 --> 00:30:18.870
gonna make it.

00:30:18.950 --> 00:30:21.830
Like not everyone can be a rock star, not everyone can play for the NBA.

00:30:22.150 --> 00:30:25.670
Like, you know, uh, you know, we we like to tell people, Oh, you can you can achieve your

00:30:25.670 --> 00:30:27.910
dreams, but like not everyone can achieve their dreams.

00:30:27.990 --> 00:30:29.270
That's the sad fact of reality.

00:30:29.350 --> 00:30:31.510
But but but we love to hear that we can.

00:30:31.750 --> 00:30:32.630
Like w why?

00:30:32.790 --> 00:30:34.470
It seems like um we should be skeptical.

00:30:34.550 --> 00:30:38.150
We should want to you know know the truth about, you know, what our chances are and you

00:30:38.150 --> 00:30:41.590
know, you know, pursue activities where we have a good chance and abandon them when we

00:30:41.590 --> 00:30:42.390
don't have a good chance.

00:30:42.470 --> 00:30:46.780
But it seems like we we w we have these kind of we're prone to these kinds of delusions

00:30:46.940 --> 00:30:50.220
where we where we think we can be the best but we we actually can.

00:30:50.380 --> 00:30:53.500
That seems maladaptive, I I think it seems it's kind of mysterious.

00:30:53.580 --> 00:30:53.820
I don't know.

00:30:54.060 --> 00:30:58.300
It's it's like the Red Bull phenomenon where it's sort of like it even like there's a whole

00:30:58.300 --> 00:30:59.660
category of advertising, right?

00:30:59.740 --> 00:31:03.900
Which is sort of like you're a kid and you're like, this is an amazing like mountain biker

00:31:03.980 --> 00:31:07.820
and he drinks Red Bull and it's like that has nothing to do, you know, but you're a kid and

00:31:07.820 --> 00:31:09.260
you're like this is a high status thing.

00:31:09.340 --> 00:31:13.500
Like he's an awesome skateboarder or he's like, you know, or somebody's a really good

00:31:13.500 --> 00:31:14.140
singer.

00:31:14.530 --> 00:31:15.810
what shoes do they wear?

00:31:15.970 --> 00:31:20.930
You know, like it doesn't matter, but the fact that there's leakage um of these things, um,

00:31:21.170 --> 00:31:22.530
which yeah, is interesting.

00:31:22.610 --> 00:31:26.530
And I mean, I obviously like I think there's probably I mean Patrick, you've probably

00:31:26.530 --> 00:31:28.930
thought about like this kind of thing.

00:31:29.010 --> 00:31:29.890
Like I what do you think?

00:31:29.970 --> 00:31:33.890
Is it like that the world is causally opaque and there's sort of an error erring on the

00:31:33.890 --> 00:31:36.130
side of you don't know if the shoes matter.

00:31:36.290 --> 00:31:38.580
So if you can get them, why not?

00:31:38.900 --> 00:31:39.140
Yeah.

00:31:39.300 --> 00:31:41.860
There's a couple things like, yeah, in those those threads.

00:31:41.940 --> 00:31:46.260
Like one is like, yeah, like why are we so do we seem gullible to be like, oh yeah, I can

00:31:46.260 --> 00:31:47.380
attain like a lot of status.

00:31:47.460 --> 00:31:48.500
I can be a big shot.

00:31:48.740 --> 00:31:52.180
And like that, yeah, I guess I don't know how like culturally widespread that is.

00:31:52.260 --> 00:31:58.180
So that might be like a really just like a one of our quirks in the in the like the Western

00:31:58.180 --> 00:31:58.420
world.

00:31:58.500 --> 00:31:59.060
I don't know.

00:31:59.300 --> 00:32:05.130
But also if it's if it is really uh like a more culturally widespread

00:32:05.130 --> 00:32:08.970
thing then you know the first thing that comes to mind is like some kind of like if you you

00:32:08.970 --> 00:32:13.050
know you shoot for the stars at least you'll land a long on the moon or whatever kind of

00:32:13.050 --> 00:32:17.930
kind of thing like a a little bit of an error management maybe approach um to be like well

00:32:18.090 --> 00:32:24.010
you have to really like be trying for the top to hopefully that you land somewhere else

00:32:24.220 --> 00:32:25.900
um in order to be motivated.

00:32:26.060 --> 00:32:27.420
That's like one potential thing.

00:32:27.580 --> 00:32:30.940
But then even as I'm saying it, I'm like, I could see that backfiring pretty hard.

00:32:31.100 --> 00:32:34.540
You know, people are just like, Yeah, that person really thinks they're hot shit, like

00:32:34.700 --> 00:32:35.580
they're not.

00:32:35.900 --> 00:32:39.580
And yeah, so I I I do think that's an interesting problem to to try and unpack.

00:32:39.660 --> 00:32:43.900
And I I don't have a a good answer for that one right now.

00:32:44.140 --> 00:32:49.890
Um, but then as f yeah, as far as like that phenomenon of like why the hell can

00:32:50.130 --> 00:32:55.570
pro athletes or you know other high status people basically like be used to advertise

00:32:55.730 --> 00:33:00.050
things that aren't actually like crucial to this success most likely.

00:33:01.250 --> 00:33:02.610
Like it's causally irrelevant.

00:33:02.690 --> 00:33:04.450
Like, yeah, it's it's along for the ride.

00:33:04.530 --> 00:33:04.690
Yeah.

00:33:04.930 --> 00:33:05.170
Yeah.

00:33:05.410 --> 00:33:09.490
And that's kind of one of those problems that led me to think a little bit more about like,

00:33:09.570 --> 00:33:15.540
yeah, like what kinds of what problem is our mind trying to solve or capable of

00:33:15.540 --> 00:33:19.860
solving when we're when we're trying to tackle this problem of how do I get status?

00:33:20.180 --> 00:33:25.620
Because yeah, the world is causally opaque, and this is a pretty wicked like

00:33:25.940 --> 00:33:31.700
computational problem, like as a as a field, or I across all

00:33:31.780 --> 00:33:36.980
science, like the figuring out causes is is like one of the most difficult problems.

00:33:37.450 --> 00:33:42.970
Um and in psycho psychology, we do a pretty uh crappy job of it.

00:33:43.210 --> 00:33:46.090
Um and it is pretty crazy when you think about it.

00:33:46.170 --> 00:33:50.330
Like we have, you know, thousands of researchers working over decades trying to figure out

00:33:50.330 --> 00:33:53.050
this problem of like what is the cause of success?

00:33:53.210 --> 00:33:55.450
Like that's the holy grail of the social sciences.

00:33:55.610 --> 00:33:59.690
Like, what causes the desirable outcomes that we're all seeking in life?

00:33:59.930 --> 00:34:04.090
And we've thrown so much time and money and manpower at this problem, and we still haven't

00:34:04.090 --> 00:34:04.490
figured it out.

00:34:04.570 --> 00:34:06.170
We're still confused as all hell.

00:34:06.440 --> 00:34:10.840
And yet, in order to survive and reproduce, our minds have to solve this problem.

00:34:11.000 --> 00:34:16.920
They have to figure out what is the causal process for getting

00:34:16.920 --> 00:34:18.360
status and resources.

00:34:18.600 --> 00:34:22.440
Because if our, you know, if if the mind didn't figure that out, well, we, you know, our

00:34:22.440 --> 00:34:25.720
minds are not going to be descended from the minds that failed to figure that out.

00:34:25.880 --> 00:34:28.760
We're going to be descended from the minds that figured out that problem.

00:34:29.080 --> 00:34:33.210
And so it suggests that our minds might actually be better at this, or our our intuitions

00:34:33.210 --> 00:34:38.090
might actually be better than this than um legions of social scientists with uh millions of

00:34:38.090 --> 00:34:40.010
dollars uh to spend.

00:34:40.250 --> 00:34:43.930
Um yeah, I think that's definitely possible.

00:34:44.090 --> 00:34:48.330
Like I think that it's possible that our mind might have evolved to actually get at the

00:34:48.330 --> 00:34:50.250
causal effects of these things.

00:34:50.490 --> 00:34:53.130
That's one thing I'm trying to work out now.

00:34:53.210 --> 00:34:58.620
It's like the pretty early stages of this project, but trying to see like uh because in

00:34:58.620 --> 00:35:03.180
data science, right, there's this distinction between getting at causes, getting at causal

00:35:03.180 --> 00:35:07.180
effects, versus getting a really good predictive model of outcomes.

00:35:07.420 --> 00:35:11.420
And they're oftentimes, or most of the time, those models won't be the same.

00:35:11.580 --> 00:35:14.540
Like a good causal model that gives you like a good causal effect.

00:35:14.700 --> 00:35:18.700
What's the effect of buying the shoe on my status?

00:35:19.530 --> 00:35:24.970
that to get that model, that causal effect estimate correct, your statistical model or your

00:35:24.970 --> 00:35:29.930
model of of the world will be pretty different than just a giant like predictive model of

00:35:29.930 --> 00:35:30.570
status.

00:35:31.130 --> 00:35:36.090
And because of in data science, at least the way statistics work, you know, a good

00:35:36.090 --> 00:35:40.090
predictive model can have totally biased causal effects.

00:35:40.410 --> 00:35:43.370
And they would be totally wrong if you were to take them at face value.

00:35:43.450 --> 00:35:48.280
But it can help you really well predict an outcome that you want to predict.

00:35:48.520 --> 00:35:48.840
I see.

00:35:48.920 --> 00:35:53.160
So for example, like let's say great white shark attacks are always on the fore in my mind.

00:35:53.240 --> 00:35:57.000
So just like if you're like, well, are they selling ice cream that day?

00:35:57.240 --> 00:35:59.640
And maybe that like correlates really well.

00:35:59.800 --> 00:36:03.160
So it's really predictive of whether or not, because like, for example, that's like when

00:36:03.160 --> 00:36:04.600
the sharks are, when it's weather's warm.

00:36:04.680 --> 00:36:06.600
When weather's warm, people buy ice cream.

00:36:06.760 --> 00:36:12.210
So, like, probabilistically, predictively, it's really good to put in the model, but it has

00:36:12.210 --> 00:36:13.730
no effect causally.

00:36:13.890 --> 00:36:17.810
Like the person selling ice cream and buying ice cream is no causal relation, but it's just

00:36:17.890 --> 00:36:18.930
it's a good predictor.

00:36:19.650 --> 00:36:24.130
Because it could be, especially if you for some reason, you know, you you can't observe how

00:36:24.130 --> 00:36:26.530
many people there are on the beach that day.

00:36:26.770 --> 00:36:26.930
Exactly.

00:36:27.010 --> 00:36:32.290
So that's your information about that, then that's going to help you give get a good

00:36:32.290 --> 00:36:33.090
predictive model.

00:36:33.250 --> 00:36:37.810
But then yeah, like increasing or de artificially decreasing the number of ice cream sales,

00:36:37.970 --> 00:36:43.400
closing the ice cream shop will change the Exactly.

00:36:43.480 --> 00:36:47.560
So yeah, we know that when people buy more when there's a really high number of ice cream

00:36:47.560 --> 00:36:49.160
cones sold, there's shark attacks.

00:36:49.240 --> 00:36:53.320
So we should prevent shark attacks by reducing, we should stop people buying ice cream.

00:36:53.400 --> 00:36:54.520
And that that's silly.

00:36:54.600 --> 00:36:54.920
But yeah.

00:36:55.160 --> 00:36:55.400
Yeah.

00:36:55.640 --> 00:36:55.960
Yeah.

00:36:56.200 --> 00:37:01.720
But uh like the thing that kind of what I'm trying to get out of this project is to look at

00:37:01.800 --> 00:37:07.730
like w in under what circumstances, under what like causal structures of the world

00:37:07.970 --> 00:37:11.410
will a predictive model be like good enough?

00:37:11.570 --> 00:37:14.130
Like because that's what like that's what we're really looking for, right?

00:37:14.210 --> 00:37:18.050
We're looking for like what might be good enough to work for an organism.

00:37:18.210 --> 00:37:19.650
It might not be the most optimal thing.

00:37:19.810 --> 00:37:24.050
Like I agree, the most optimal thing would be like a good causal model or some magical

00:37:24.050 --> 00:37:26.290
system that figures out the causal structure of the world.

00:37:26.450 --> 00:37:31.890
And for some problems, that might be totally feasible to do, but for other problems, it

00:37:31.890 --> 00:37:34.460
might it might not be feasible to do that.

00:37:34.620 --> 00:37:38.860
And I kind of this I'm working on some simulations now, which hopefully I'll talk about at

00:37:38.860 --> 00:37:44.780
HBest this year, which is kind of showing that at least under some circumstances

00:37:45.900 --> 00:37:51.340
which might look similar to how at least I think of the causal structure of status, like a

00:37:51.340 --> 00:37:55.650
predictive model could be pretty decent, could get you pretty far.

00:37:56.050 --> 00:38:00.770
And if if we have like these mechanisms that are kind of just following predictive models,

00:38:00.930 --> 00:38:05.570
then you might actually expect that people will just pick up on these erroneous cues and

00:38:05.570 --> 00:38:06.050
use them.

00:38:06.130 --> 00:38:08.050
Like what shoes do people wear?

00:38:08.210 --> 00:38:10.530
You know, what watch do they do they wear?

00:38:10.690 --> 00:38:13.490
That that that kind of stuff that isn't actually causally relevant.

00:38:13.730 --> 00:38:18.130
But it's just because you have this predictive model, it's gonna pick up on those things.

00:38:18.450 --> 00:38:24.200
And maybe that's like an an an outcome of the something weird about

00:38:24.200 --> 00:38:29.160
our our world or something that there are the all these like extra erroneous cues that

00:38:29.160 --> 00:38:31.320
actually like aren't part of the causal structure.

00:38:31.480 --> 00:38:33.960
Uh, but yeah, that's another kind of empirical question, I guess.

00:38:34.360 --> 00:38:38.280
Yeah, can we make it concrete just so like you know, just so sort of like uh there's an

00:38:38.280 --> 00:38:41.560
example, like let's say the this problem of learning.

00:38:41.720 --> 00:38:47.720
I'm a kid and I see somebody fishing, and they get a lot of fish, a lot

00:38:47.720 --> 00:38:51.240
more than I've ever seen before, and everyone's really happy about that.

00:38:52.050 --> 00:38:54.770
Um, so that's like the event.

00:38:55.730 --> 00:39:00.850
And there's lots of things, lots of ways to carve that event up.

00:39:01.010 --> 00:39:06.930
And is the idea sort of what you're saying that um there might be privileged categories.

00:39:07.090 --> 00:39:12.930
So, like the lesson I could draw from that is like providing people with a lot of fish

00:39:12.930 --> 00:39:18.610
is a good thing, or providing people with a lot of resources is a good thing, or um things

00:39:18.610 --> 00:39:23.360
that are hard to catch that people like is a good thing.

00:39:23.760 --> 00:39:25.120
You know, that's one issue.

00:39:25.280 --> 00:39:28.080
Another issue is like, well, how do they catch a lot of fish?

00:39:28.320 --> 00:39:31.760
Like I could try to fish there another day when they're not there.

00:39:32.000 --> 00:39:36.560
I might look at all the things they're using, like the physical accoutrements, and then say

00:39:36.800 --> 00:39:37.680
copy what they do.

00:39:37.760 --> 00:39:43.750
And maybe that's where like the sneakers and the watch kind of parasitize on because

00:39:43.750 --> 00:39:45.910
we're sort of like, I don't know why they caught a lot of fish.

00:39:46.070 --> 00:39:47.990
If I did, I wouldn't catch a lot of fish myself.

00:39:48.070 --> 00:39:48.790
So I don't know.

00:39:48.950 --> 00:39:51.670
So maybe I should just emulate everything.

00:39:51.750 --> 00:39:53.430
So I'm gonna wear the same, you know.

00:39:53.590 --> 00:39:57.750
So like I'm gonna wear the same shirt color, even though I don't know if that's relevant.

00:39:57.910 --> 00:39:59.910
So I'm gonna overimitate in a way.

00:40:00.150 --> 00:40:06.120
So is the idea that there's these sort of pre-privileged structures that are part

00:40:06.120 --> 00:40:07.240
of the predictive model.

00:40:07.320 --> 00:40:08.440
Is that sort of what you're saying?

00:40:08.520 --> 00:40:11.240
In the in the context of this sort of fishing example?

00:40:11.640 --> 00:40:11.960
Yeah.

00:40:12.120 --> 00:40:13.560
Like for the fishing example, right?

00:40:13.640 --> 00:40:19.080
Like I'm just gonna imagine there's like it's cold weather that day.

00:40:19.400 --> 00:40:23.640
And I don't know if this is true about fish, but let's say when it's cold, like the fish

00:40:23.640 --> 00:40:28.040
are more active, they're like near the surface or something, they're hungrier, whatever.

00:40:28.360 --> 00:40:33.870
And when it's cold, people are more like want to wear a jacket or wear some fur or

00:40:33.870 --> 00:40:34.510
something, you know.

00:40:34.670 --> 00:40:40.670
And so you have this confound of of weather that's leading to this new cue of

00:40:40.750 --> 00:40:44.910
like, what is this fisher who's who's going to catch more fish than usual?

00:40:45.070 --> 00:40:49.470
Like, oh, he's wearing something different than typical, or well, you know, whatever, and

00:40:49.470 --> 00:40:50.510
he catches more fish.

00:40:50.670 --> 00:40:52.910
And so you have the confound there, the weather.

00:40:52.990 --> 00:40:58.960
So you don't if you if you don't have a pre-built system that like kind of removes

00:40:58.960 --> 00:41:04.800
or holds constant weather in figuring this stuff out um or controls for it basically

00:41:04.960 --> 00:41:10.800
like you're you won't be able to you might mis uh apply the correlation between like the

00:41:10.800 --> 00:41:16.800
sweater wearing and the fish as a causal effect, thinking that you can wear a sweater and

00:41:16.800 --> 00:41:19.040
that's gonna let you get more fish.

00:41:19.280 --> 00:41:19.520
Right.

00:41:19.840 --> 00:41:20.400
Right.

00:41:22.090 --> 00:41:22.410
yeah.

00:41:22.650 --> 00:41:25.530
And then Hume's problem of induction, right?

00:41:25.610 --> 00:41:30.730
Like every time that you see, and this is like famously like uh philosophically in language

00:41:30.730 --> 00:41:35.130
learning, that any one instance, there's an infinite number of things you could sort of

00:41:35.130 --> 00:41:36.730
learn from that instance.

00:41:36.970 --> 00:41:40.810
Like the person was successful because it was a Tuesday, the person was successful because

00:41:40.810 --> 00:41:43.850
they were wearing a fur coat, the person was successful because it was a Tuesday and they

00:41:43.850 --> 00:41:45.930
were wearing a fur coat, like all kinds of crazy stuff.

00:41:46.090 --> 00:41:52.040
And what you're saying is without some built-in ways of narrowing that down in

00:41:52.040 --> 00:41:57.560
this context of learning about status or maybe status inner inner inter

00:41:58.360 --> 00:42:04.280
um interpenetrated with uh like event cognition, you know.

00:42:04.360 --> 00:42:08.760
So sort of like what leads to catching fish, or what are the things that plausibly might do

00:42:08.840 --> 00:42:09.160
that?

00:42:09.400 --> 00:42:12.120
Without that, it's you're really out of luck.

00:42:12.600 --> 00:42:12.840
Yeah.

00:42:13.000 --> 00:42:17.890
And obviously, that's like a whole nother like research area people I'm sure are are

00:42:17.890 --> 00:42:22.930
looking into and and like but the status problem is that there's like hundreds of things

00:42:22.930 --> 00:42:27.810
that people are doing and even figuring out like you know which of those things actually

00:42:27.810 --> 00:42:31.890
change their status is is another like a level of that problem.

00:42:32.450 --> 00:42:38.340
Um and so yeah again this is like um really early in trying to even like define

00:42:38.340 --> 00:42:41.380
like this problem in like little statistical models.

00:42:41.540 --> 00:42:47.460
Uh so I don't know how much more I can really say about it, but it it like

00:42:47.540 --> 00:42:52.660
it seems like there will be some problems that are intractable, like you can't solve them

00:42:52.660 --> 00:42:56.020
as an organism with your experiences.

00:42:56.500 --> 00:43:01.140
Um, especially if you can't do the interventions yourself because they're too costly or

00:43:01.140 --> 00:43:04.420
they're too inefficient, like you would have to do, you know, hundreds of these

00:43:04.420 --> 00:43:07.620
interventions yourself to really know the causal effect or whatever.

00:43:08.030 --> 00:43:13.470
And in that case, like the you know, the better than nothing system to

00:43:13.630 --> 00:43:18.990
evolve might be a just a prediction model that makes some mistakes, but it's right often

00:43:18.990 --> 00:43:24.590
enough in getting the relative, like it might be wrong for every actual causal effect,

00:43:24.830 --> 00:43:29.790
but about figuring out the relative which things tend to be better than other things out of

00:43:29.790 --> 00:43:34.990
a hundred things, it could be useful for getting like a rough estimate of that

00:43:35.760 --> 00:43:38.080
And helping you rank order that in your head.

00:43:38.640 --> 00:43:44.320
I think considerable insight can be made here by dividing this into two

00:43:44.320 --> 00:43:47.040
different problems that are intimately related.

00:43:47.120 --> 00:43:49.200
So the first problem is just how do I get status?

00:43:49.280 --> 00:43:52.000
How do I intervene on the world to get status?

00:43:52.160 --> 00:43:54.400
And with that, uh uh prediction is not enough.

00:43:54.480 --> 00:43:55.360
I need causality.

00:43:55.440 --> 00:44:00.010
I need to know what causal processes are going to increase my status.

00:44:00.330 --> 00:44:03.850
But there is a second problem that I think is too often overlooked and is extremely

00:44:03.850 --> 00:44:05.850
important, and that is a coordination problem.

00:44:06.010 --> 00:44:11.530
And that is how do I reach agreement with my community about who is high status and who is

00:44:11.530 --> 00:44:12.250
low status?

00:44:12.570 --> 00:44:17.370
And for that problem, I don't necessarily need to know the causal structure of the world to

00:44:17.370 --> 00:44:18.330
solve that problem.

00:44:18.440 --> 00:44:22.120
I just need to know how to predict who people are going to listen to and pay attention to,

00:44:22.280 --> 00:44:25.480
who people are going to side with and who they're not going to side with.

00:44:25.800 --> 00:44:28.040
And for that, correlation is enough.

00:44:28.200 --> 00:44:34.120
If people who wear fancy suits and use big words are high status, uh, it doesn't matter

00:44:34.120 --> 00:44:36.920
if the fancy suits or the big words cause the high status.

00:44:37.080 --> 00:44:41.890
As long as everyone thinks that everyone else thinks that those are high status traits,

00:44:42.370 --> 00:44:46.610
then it benefits me to go along with the group and assuming that these are high status

00:44:46.610 --> 00:44:47.010
things.

00:44:47.490 --> 00:44:50.850
And as soon as you have that coordination that we've all coordinated on, the people who use

00:44:50.850 --> 00:44:54.370
big words, the people who wear fancy clothes, these people are high status.

00:44:54.610 --> 00:44:59.570
Well, all of a sudden, I can take advantage of that by imitating those high status words,

00:44:59.650 --> 00:45:03.730
by wearing the fancy clothes and tricking other people into thinking that I'm high status

00:45:03.730 --> 00:45:07.170
because they've already coordinated on the fact that that thing is high status.

00:45:07.490 --> 00:45:08.050
Right.

00:45:08.420 --> 00:45:14.420
Um and so it it may be it's it may be not merely that um uh the

00:45:14.420 --> 00:45:18.980
causal problem is is too hard to solve and therefore we just settle for the the you know

00:45:19.060 --> 00:45:19.860
the correlates.

00:45:20.260 --> 00:45:25.620
It may be that the correlates in some cases are enough because of this important aspect of

00:45:25.620 --> 00:45:28.580
coordination uh that is at the at the heart of it.

00:45:28.740 --> 00:45:33.070
And and when you have when coordination enters the picture, you can have um a

00:45:33.070 --> 00:45:37.150
self-fulfilling process where people are high status for being high status, where they

00:45:37.150 --> 00:45:40.110
don't actually have any special ability to generate benefits.

00:45:40.270 --> 00:45:44.830
But because everyone thinks that everyone else thinks that they have those abilities, they

00:45:44.830 --> 00:45:45.870
have high status.

00:45:46.110 --> 00:45:50.670
And and in cases like that, the status bubble can burst uh once we all gain common

00:45:50.670 --> 00:45:53.860
knowledge that the person isn't all they're cracked up to be.

00:45:54.100 --> 00:45:58.820
And so um I I think it's another aspect where where coordination, common knowledge, is a

00:45:58.820 --> 00:46:03.780
really uh overlooked and important part of the of the process here with with status.

00:46:04.100 --> 00:46:04.260
Yeah.

00:46:04.580 --> 00:46:06.580
Yeah, I like that that extension.

00:46:06.740 --> 00:46:10.500
Like I have been thinking about it as a yeah, there are like these purely predictive

00:46:10.580 --> 00:46:14.630
problems, or could be purely predictive problems, which is just like, oh, of my peer group

00:46:14.710 --> 00:46:18.790
without knowing anything about causal structure of status, can I predict who's gonna be sta

00:46:19.030 --> 00:46:19.990
higher status in the future?

00:46:20.150 --> 00:46:22.390
Like that's just a good predictive model to have.

00:46:22.630 --> 00:46:27.110
And so there, yeah, you but then uh also the causal structure stuff, which is like what can

00:46:27.110 --> 00:46:27.430
I do?

00:46:27.590 --> 00:46:29.990
How do I intervene on the world to get status?

00:46:30.150 --> 00:46:35.260
Um, but I hadn't that thought too much about this, like the self-fulfilling prophecy on top

00:46:35.260 --> 00:46:40.460
of the predictive models then becomes part of the causal structure of the world,

00:46:40.700 --> 00:46:41.340
actually.

00:46:41.820 --> 00:46:43.900
And I I like that, I like that take.

00:46:44.540 --> 00:46:44.860
Yeah.

00:46:44.940 --> 00:46:49.580
And then of course you're kind of like the coordination games that we play when we're

00:46:49.580 --> 00:46:53.820
competing for status, you know, they change a lot and they fall apart.

00:46:53.900 --> 00:46:58.090
Uh when it becomes common knowledge that we are competing for status.

00:46:58.330 --> 00:46:59.770
Um yeah, cool.

00:47:00.010 --> 00:47:04.650
Yeah, I'll definitely have to think, yeah, what happens at like the I guess that's like the

00:47:04.650 --> 00:47:10.570
second order effects of having these prediction models working and trying to predict what

00:47:10.570 --> 00:47:13.770
other people think about this the hierarchy and stuff like that.

00:47:13.850 --> 00:47:15.050
I I'll I like that.

00:47:15.290 --> 00:47:15.450
Yeah.

00:47:15.530 --> 00:47:17.450
And homage to Catalonia, George L.

00:47:17.610 --> 00:47:23.240
Orwell, it's his story about joining uh the Franco uh fighting against the fascists in

00:47:23.240 --> 00:47:29.080
Spain in 1930s and he's with the anarchists and the um but he talks about when he moves to

00:47:29.400 --> 00:47:34.200
when he goes to Spain in the beginning um because it's sort of like a a class based

00:47:34.200 --> 00:47:40.120
revolution uh he was wearing like a suit and a tie and a collar and

00:47:40.120 --> 00:47:43.800
he's on the train to Spain and everyone's like you can't wear that like you're gonna be

00:47:43.800 --> 00:47:49.650
like ostracized Um, and so like he he quickly picks up on like that the local

00:47:49.650 --> 00:47:55.570
ecology is like the more working class you look, the higher status you're granted.

00:47:55.810 --> 00:48:00.530
And then months later, when he's actually like fleeing Spain after the um he like fights in

00:48:00.530 --> 00:48:05.410
the war and sort of the the class-based revolution didn't pan out, it flips again.

00:48:05.490 --> 00:48:10.290
And now he actually escapes and isn't even questioned on the train out of Spain by sort of

00:48:10.290 --> 00:48:13.340
dressing up and looking kind of bougie bougie bougie.

00:48:13.660 --> 00:48:18.780
Um, and so like that was an example of it's exactly this thing of what

00:48:18.780 --> 00:48:22.620
counts as given status completely flipped.

00:48:22.780 --> 00:48:26.780
And he was able to sort of from the local ecology pick that up and it flipped like within

00:48:26.780 --> 00:48:28.700
the course of a year or something like that.

00:48:29.100 --> 00:48:29.740
Yeah.

00:48:29.980 --> 00:48:35.900
And my example that I often think of of with this is at least from my memory of the

00:48:35.900 --> 00:48:40.190
COVID 19 like early days pandemic, which could be could be flawed, and this isn't like a

00:48:40.190 --> 00:48:41.550
value judgment or anything.

00:48:41.710 --> 00:48:47.070
But I just remember early on the the narrative was you know uh

00:48:47.390 --> 00:48:53.230
N95 masks were scarce, and so you know, we should be saving those for

00:48:53.390 --> 00:48:54.830
healthcare workers.

00:48:55.310 --> 00:49:00.030
And and so yeah, I think like implicitly maybe I was like, if I saw somebody wearing an N95

00:49:00.030 --> 00:49:03.870
mask, maybe I might have thought they were a little selfish or or something like that, you

00:49:03.870 --> 00:49:04.030
know.

00:49:04.510 --> 00:49:09.280
But then later on, as uh I don't know, supply chains or whatever caught up with those d

00:49:09.440 --> 00:49:13.920
those demands, you know, it became like people should be wearing an N95 mask.

00:49:14.000 --> 00:49:15.040
And they're totally flipped.

00:49:15.120 --> 00:49:17.520
Then if you're not wearing one, I'm like, what are you doing?

00:49:17.600 --> 00:49:19.520
Don't you know like those cloth masks?

00:49:19.680 --> 00:49:21.760
Maybe they don't do maybe they don't do like anything at all.

00:49:21.840 --> 00:49:23.600
I don't know, whatever I thought at the time.

00:49:23.760 --> 00:49:26.880
But but yeah, you can see those kinds of dynamics changing all the time.

00:49:26.960 --> 00:49:31.840
The the value of the same action changes not just in our lifetimes, but yeah, over weeks or

00:49:31.840 --> 00:49:34.170
months or yeah, minutes.

00:49:35.690 --> 00:49:37.290
Yeah, this is this is awesome.

00:49:37.370 --> 00:49:39.210
And I can imagine too, like it's a weird question.

00:49:39.450 --> 00:49:40.570
Again, it's instinct blindness.

00:49:40.650 --> 00:49:43.370
We're sort of like obviously like high status, that's obvious.

00:49:43.450 --> 00:49:45.370
Like, why would we even need to study that?

00:49:45.610 --> 00:49:48.730
I think it's really to your credit, but I imagine it's difficult.

00:49:48.890 --> 00:49:52.890
Um, and I don't know what the reception of this work has been outside of Evan Evolutionary

00:49:52.970 --> 00:49:55.930
Approach, but like one of the things taking an evolutionary approach or cognitive science

00:49:55.930 --> 00:49:59.210
approach gives you is this outs kicking you out of your instinct blindness.

00:49:59.290 --> 00:50:04.780
But this really strikes me as like uh something that hasn't been studied outside of like a

00:50:04.780 --> 00:50:06.300
very narrow set of people.

00:50:07.180 --> 00:50:08.540
Status like I don't know.

00:50:08.620 --> 00:50:10.940
There's not a cognitive science of status, is there?

00:50:11.260 --> 00:50:13.580
Yeah, it's big in social psychology for sure.

00:50:13.740 --> 00:50:17.580
Um especially looking at more like surface level things of like, yeah, what what

00:50:17.580 --> 00:50:19.900
personality characteristics are associated with status.

00:50:19.980 --> 00:50:24.380
And but it's not so much, at least in in my view, it's not so much of like how does status

00:50:24.380 --> 00:50:27.010
work at a deep like kind of computational level?

00:50:27.170 --> 00:50:31.810
How do we given that this navigating status hierarchies is probably like a fundamental

00:50:31.810 --> 00:50:33.410
problem that our ancestors had to solve?

00:50:33.570 --> 00:50:34.850
Like, how do you solve this?

00:50:35.010 --> 00:50:38.690
Because it's not like it's not like every other adaptive problem, it's not like the problem

00:50:38.690 --> 00:50:39.410
of finding mates.

00:50:39.490 --> 00:50:41.330
I don't think it's it's it's different.

00:50:41.410 --> 00:50:45.810
So you need different machinery to to solve that, even if it helps you find mates and stuff

00:50:45.890 --> 00:50:46.450
like that, right?

00:50:46.770 --> 00:50:52.340
And and to also just clarify, like, you're not thinking about this from the perspective of

00:50:52.660 --> 00:50:57.140
status seeking the way we usually think about it in a folk way, which is I think like a lot

00:50:57.140 --> 00:50:59.540
of people are like, oh, there's somebody who's just trying to seek status.

00:50:59.620 --> 00:51:05.460
They're not actually like interested in like their job or like their mate, or they're not

00:51:05.460 --> 00:51:06.260
serious.

00:51:06.420 --> 00:51:08.100
They're really in it for the status.

00:51:08.180 --> 00:51:12.900
And I mean, I think that is a real evolved entry, but I think you're you're talking about

00:51:12.900 --> 00:51:18.250
just no below the surface, there's just evolve software for

00:51:19.050 --> 00:51:24.970
you look out and you're like, okay, I gotta eat, I gotta have like social support.

00:51:25.290 --> 00:51:27.770
How can I not be an asshole?

00:51:28.010 --> 00:51:29.130
What do people like?

00:51:29.210 --> 00:51:34.810
And what can I do so that I have support and that people don't think I'm an asshole?

00:51:34.970 --> 00:51:39.370
So I think like a lot of bad things get thrown under the rubric of like status seeking, but

00:51:39.370 --> 00:51:43.380
I imagine a lot of good things, like as just kids learn up of like when you're mean, other

00:51:43.380 --> 00:51:44.740
pu kids don't want to play with you.

00:51:44.820 --> 00:51:49.860
Like that's part of figuring out like what to invest in for status.

00:51:50.020 --> 00:51:52.020
And I don't think it often gets framed that way.

00:51:52.100 --> 00:51:54.020
Is that consistent with how you're thinking about it?

00:51:54.100 --> 00:51:59.460
Like that yeah, that caveat that it's not the folk category status seeking.

00:51:59.700 --> 00:51:59.860
Yeah.

00:52:00.100 --> 00:52:04.980
If in fact I think I've in my head, at least like implicitly, maybe not explicitly, like

00:52:05.220 --> 00:52:09.290
pretty much framed it as just like you're just trying not to lose status.

00:52:09.370 --> 00:52:10.410
You're not trying to go down.

00:52:10.570 --> 00:52:15.290
Like many people might not really care that much about the going up and up and up and up,

00:52:15.370 --> 00:52:19.530
like becoming like the you know, top of the hierarchy or whatever.

00:52:19.770 --> 00:52:25.610
But I would wager that like nobody is like, yeah, like I want to go down in status, like

00:52:25.850 --> 00:52:26.650
nobody.

00:52:26.970 --> 00:52:29.690
And so I think that's really what it's more about.

00:52:29.770 --> 00:52:35.640
It's about like avoiding the problems of that come with yeah, losing social support, uh

00:52:35.720 --> 00:52:41.720
like ostracism and yeah, defensive and the conflict, and about yeah, mediating these kind

00:52:41.720 --> 00:52:42.120
of conflicts.

00:52:42.200 --> 00:52:46.440
So, I mean, that's one of the hypotheses from the animal literature about like what is what

00:52:46.440 --> 00:52:51.400
are hierarchies before, you know, what if hierarchies have a function, what is it?

00:52:51.480 --> 00:52:56.600
And it's to maybe stabilize like intergroup conflict over resources.

00:52:56.840 --> 00:53:00.650
And so if you're pushing, you know, I don't think many people are just gonna keep pushing

00:53:00.650 --> 00:53:06.010
and pushing like for uh I think this probably well calibrated to kind of figure out like

00:53:06.090 --> 00:53:10.250
what seems reasonable and just don't wanna be losing status 'cause that's where, you know,

00:53:10.330 --> 00:53:13.130
you'll lose you'll get a lot of costs, I guess.

00:53:13.450 --> 00:53:13.690
Yeah.

00:53:13.850 --> 00:53:14.730
No, that's a great point.

00:53:14.810 --> 00:53:20.140
I think um the folk concept of status, I think, ties much more to

00:53:21.100 --> 00:53:27.020
the offensive version of status or the being superior to others rather than uh the

00:53:27.020 --> 00:53:29.180
avoidance of being inferior.

00:53:29.420 --> 00:53:35.420
And I think that's why we often see status seekers as assholes, is because it's much more

00:53:35.420 --> 00:53:39.020
of a threat to me if you're trying to be better than me, if you're trying to outdo me.

00:53:39.180 --> 00:53:43.260
Because if you're trying to outdo me, then my status is going to fall uh as a result of

00:53:43.260 --> 00:53:43.900
your pursuit.

00:53:44.060 --> 00:53:47.470
But if you're just trying to avoid looking worse than me, You're just trying to avoid

00:53:47.470 --> 00:53:49.150
getting ostracized or ganged up on.

00:53:49.230 --> 00:53:50.350
That's much less of a threat to me.

00:53:50.430 --> 00:53:53.390
And it's, you know, more understandable and sympathetic.

00:53:53.630 --> 00:53:59.470
And so the problem is that our folk concept of status is mainly framed in terms

00:53:59.470 --> 00:54:00.590
of superiority.

00:54:00.750 --> 00:54:06.670
And that's why we often lose status for overtly seeking status, is

00:54:06.670 --> 00:54:11.600
because people interpret it as a threat to them and they interpret it as uh as as a kind of

00:54:11.600 --> 00:54:16.000
selfishness, because if I'm trying to be better than you or to others, then that benefits

00:54:16.000 --> 00:54:20.640
me and it hurts others, and the benefit to me is smaller than the cost to others, and so

00:54:20.640 --> 00:54:23.120
that gets framed as a kind of selfishness.

00:54:23.360 --> 00:54:29.200
Um and that uh unfortunately, um because you can lose status for overtly seeking

00:54:29.200 --> 00:54:33.670
status, that creates a kind of you know volatility where if we all gain common knowledge

00:54:33.670 --> 00:54:36.950
that that we're all just trying to be better than each other, then we all look worse than

00:54:36.950 --> 00:54:37.510
each other.

00:54:37.590 --> 00:54:40.230
Uh, and we have to do something else to gain status.

00:54:40.310 --> 00:54:43.590
Or at least I've I've written a lot about that, and I think that might underlie a lot of

00:54:43.590 --> 00:54:46.950
the the arbitrariness and volatility of our of our status symbols.

00:54:47.030 --> 00:54:51.750
And I can get you know status for for these weird random things like powdered wigs or you

00:54:51.750 --> 00:54:55.910
know uh wearing a certain type of clothing, you know, baggy clothing versus you know

00:54:56.070 --> 00:54:57.270
tight-fitting clothing.

00:54:57.430 --> 00:55:00.150
Um What's weird about powdered wigs, David?

00:55:01.060 --> 00:55:01.780
Well, it's interesting.

00:55:01.860 --> 00:55:02.740
I was reading about this.

00:55:04.580 --> 00:55:06.580
It is I find powdered wigs so funny.

00:55:06.660 --> 00:55:12.420
It's it's I mean, I think the fact that we find them funny is like it's it's the remnants

00:55:12.420 --> 00:55:13.620
of that status game collapsing.

00:55:13.780 --> 00:55:17.860
I think status games collapse once we realize that they're just funny, that they're just

00:55:17.860 --> 00:55:18.340
ridiculous.

00:55:18.980 --> 00:55:21.220
Um, you know, as historians have written about this with dueling.

00:55:21.300 --> 00:55:24.470
Like dueling used to be taken very seriously, but now we just find it funny.

00:55:24.630 --> 00:55:25.750
Like it's just kind of hilarious.

00:55:25.990 --> 00:55:27.670
The Looney Tunes like engage in dueling.

00:55:27.750 --> 00:55:30.790
It's just a it's just a macho pissing contest that's like this stupid thing.

00:55:31.030 --> 00:55:32.870
But like at the time, people took it very seriously.

00:55:32.950 --> 00:55:37.270
And if you were to laugh at it, that would be uh a huge, you know, hugely taboo.

00:55:37.350 --> 00:55:40.550
Um, and so I think these status games collapse when we all just realize that they're

00:55:40.550 --> 00:55:42.070
ridiculous pissing contests.

00:55:42.310 --> 00:55:46.070
And probably many of our current status games are likely to collapse at some point in the

00:55:46.070 --> 00:55:49.800
future when we realize that they're ridiculous pissing contests.

00:55:49.960 --> 00:55:55.960
Um, and uh predicting which status games are likely to be stable and persistent to

00:55:55.960 --> 00:55:59.560
the future versus which ones are likely to collapse, I think that is also part of the

00:55:59.560 --> 00:56:01.240
adaptive problem of inspiration.

00:56:01.400 --> 00:56:06.360
It's not merely um, you know, what kinds of status um uh are likely to pay off or or are

00:56:06.360 --> 00:56:07.480
worth investing in.

00:56:07.720 --> 00:56:11.480
It's also like, is this status game going to be stable into the future or is it gonna turn

00:56:11.480 --> 00:56:15.370
into a laughing stock next year or in five years, right?

00:56:15.450 --> 00:56:20.410
It's it's gonna suck if I try to invest in being good at dueling, if dueling is just gonna

00:56:20.410 --> 00:56:23.210
be funny and stupid uh next year, right?

00:56:23.610 --> 00:56:29.210
Um, and so I think another part of inspiration is is the status game around something

00:56:29.370 --> 00:56:32.170
that isn't uh framed as status?

00:56:32.330 --> 00:56:36.010
Like is it is it the pursuit of something higher and noble or altruistic?

00:56:36.090 --> 00:56:39.290
Uh and that is a cue that it's gonna be stable into the future.

00:56:39.450 --> 00:56:45.320
And so I think what inspires us is a person who um invests a lot of time and energy

00:56:45.320 --> 00:56:50.760
into a status game without caring about status, and then gets showered with status.

00:56:50.840 --> 00:56:51.240
Right.

00:56:51.400 --> 00:56:52.600
That's really inspiring.

00:56:53.000 --> 00:56:54.360
Because it suggests that yeah.

00:56:54.760 --> 00:56:56.360
Yeah, or shows us like how to do it.

00:56:56.520 --> 00:56:58.280
Or like it's like you can do it too.

00:56:58.360 --> 00:57:02.840
Or like you see a avenue of like, you know, a great teacher, a book inspired me.

00:57:03.080 --> 00:57:04.760
And your claim is the readout.

00:57:04.840 --> 00:57:10.680
That's the readout of I see a path towards doing this thing that has these positive

00:57:10.680 --> 00:57:11.880
attributes.

00:57:12.280 --> 00:57:12.760
Right.

00:57:13.070 --> 00:57:14.030
Exactly.

00:57:14.430 --> 00:57:20.110
Um so yeah, no, that's I've I've been just thinking about this this stuff a lot

00:57:20.110 --> 00:57:20.750
lately.

00:57:20.910 --> 00:57:25.870
Um and I I think inspiration is a really interesting topic that's underappreciated

00:57:26.990 --> 00:57:27.950
evolutionary science.

00:57:28.350 --> 00:57:34.000
Yeah, especially if it like as a way of separating it from maybe admiration and envy and

00:57:34.000 --> 00:57:40.000
and respect, even though it's maybe a hierarchy navigating emotion, like yeah, the the

00:57:40.000 --> 00:57:42.320
outputs might not involve emulating people.

00:57:42.400 --> 00:57:46.000
They're just like a motivation to do a particular thing.

00:57:46.400 --> 00:57:47.280
Or yeah.

00:57:47.520 --> 00:57:47.840
Yeah.

00:57:48.160 --> 00:57:48.320
Yeah.

00:57:48.400 --> 00:57:50.400
A teacher inspired me, a book inspired me.

00:57:50.480 --> 00:57:50.880
I like that.

00:57:50.960 --> 00:57:56.880
Like that explains that that it's all I I I like this what you're both saying is and again,

00:57:56.960 --> 00:58:02.910
it's very counter instinct blindness where it's it's it's the deep structure of is

00:58:02.910 --> 00:58:06.030
this a way to make a living in the world?

00:58:06.190 --> 00:58:08.910
Sort of, you know, and I think like people recognize that at some level.

00:58:09.070 --> 00:58:13.390
Like you kind of have to be like, I want to do something that excites me, that inspires me.

00:58:13.550 --> 00:58:19.550
And I think what people mean by that is they detect a possibility of doing well and

00:58:19.550 --> 00:58:25.080
being able to do well such that there will be rewards greater than

00:58:25.400 --> 00:58:28.520
the default expected rewards, right?

00:58:28.680 --> 00:58:33.480
Like it's sort of this thing of like, oh, I discovered something that I might be better at

00:58:33.480 --> 00:58:39.240
than m most people or that I thought, and then I might get more out of than most people or

00:58:39.240 --> 00:58:40.200
that I thought.

00:58:40.920 --> 00:58:42.760
If you really reduce it down.

00:58:43.320 --> 00:58:43.560
Yeah.

00:58:43.720 --> 00:58:45.000
Yeah, that's interesting.

00:58:45.630 --> 00:58:50.750
And I think another cue to you know this status game being worth investing in, um, and

00:58:50.750 --> 00:58:55.550
being stable over the long run is has it been stable in centuries past?

00:58:55.710 --> 00:58:58.750
Have my ancestors been playing this status game for generations?

00:58:58.990 --> 00:59:00.830
If so, that's a really good one to invest in.

00:59:00.910 --> 00:59:04.830
Because you know, if it's lasted for generations, then it's not going to become a laughing

00:59:04.830 --> 00:59:05.710
stock next year.

00:59:06.000 --> 00:59:06.240
Right.

00:59:06.640 --> 00:59:08.160
Uh and so that should be inspiring.

00:59:08.240 --> 00:59:12.240
If if I'm doing the same thing that, you know, my ancestors have done for generation after

00:59:12.240 --> 00:59:16.560
generation, you know, um uh it still gets to me.

00:59:16.640 --> 00:59:20.960
I was watching Moana with my daughter, and there's this scene where sh where uh Moana

00:59:21.040 --> 00:59:24.720
discovers that her ancestors were explorers for generations, and you know, the whole movie

00:59:24.880 --> 00:59:28.080
they were telling her that she shouldn't go out and explore because it's too dangerous, and

00:59:28.080 --> 00:59:31.440
then she realized that the things that she really wants to do, like her ancestors have been

00:59:31.440 --> 00:59:32.400
doing it for generations.

00:59:32.480 --> 00:59:35.200
It was really beautiful, like it moves me when I when I see that.

00:59:35.360 --> 00:59:41.130
Um and um so I I think another part of it, you know, is is doing something that has

00:59:41.130 --> 00:59:44.810
been done um for for many generations into the past.

00:59:45.130 --> 00:59:49.450
Um anyway, I'm I'm just uh going off on on my thinking on this topic but I'm curious.

00:59:49.770 --> 00:59:54.650
I like that especially as like a like a storytelling, cultural storytelling as a kind of

00:59:54.650 --> 01:00:00.340
way of you know, teaching or helping our status navigation systems learn what

01:00:00.340 --> 01:00:03.780
are good status games that are worth coordinating around.

01:00:04.020 --> 01:00:08.980
Because I mean and there might even be, yeah, some cultural evolution to that too, where

01:00:08.980 --> 01:00:14.500
you're like, yeah, like we don't want our next generations coordinating over stupid

01:00:14.500 --> 01:00:20.430
status games that lead to conflict or harm our our culture or our group.

01:00:20.590 --> 01:00:25.150
And so kind of like I don't know, inoculating them or yeah, trying to get that implanted in

01:00:25.150 --> 01:00:30.110
them early on, kind of like with storytelling about what your ancestors have done could be

01:00:30.110 --> 01:00:34.670
like one of those kind of cultural technologies to help prevent some of these like

01:00:34.990 --> 01:00:40.830
pointless status games and try to push them towards ones that like s seem

01:00:40.830 --> 01:00:45.150
to have been beneficial generation after generation kind of thing.

01:00:45.620 --> 01:00:45.860
Yeah.

01:00:46.020 --> 01:00:50.340
I mean no no one gets inspired about wearing baggy pants because those are going to go out

01:00:50.340 --> 01:00:52.500
of style uh in a few years anyway.

01:00:52.660 --> 01:00:56.660
But people might get inspired about like wearing the religious garb of their ancestors that

01:00:56.660 --> 01:00:59.220
the their ancestors have been wearing for for generations.

01:01:00.180 --> 01:01:05.700
I mean there is on the baggy pants thing right like this is going to be embarrassing to to

01:01:05.700 --> 01:01:10.670
admit, but like I think you know, as somebody I grew up wearing like really tight skinny

01:01:10.670 --> 01:01:11.230
jeans, right?

01:01:11.310 --> 01:01:11.390
Yeah.

01:01:11.550 --> 01:01:16.590
And I used to put on like baggy pants or whatever, like I got bought a pair of pants from

01:01:16.590 --> 01:01:17.710
somebody by somebody else or whatever.

01:01:17.790 --> 01:01:20.430
And I'd be like, the aesthetics of these are like I hated them.

01:01:20.510 --> 01:01:22.270
They were they were all wrong and stuff.

01:01:22.510 --> 01:01:28.430
And since that trend has changed, like the aesthetic sensibility that

01:01:28.430 --> 01:01:30.440
I have has changed.

01:01:30.520 --> 01:01:33.480
And I I like the baggy silhouette.

01:01:33.800 --> 01:01:37.400
Now something that I would have felt totally uncomfortable in before.

01:01:37.560 --> 01:01:43.560
So yeah, like I even though even knowing that it will change, I was still inspired by that.

01:01:43.640 --> 01:01:48.440
You could view that as inspired by that new aesthetic to enjoy it.

01:01:49.240 --> 01:01:52.690
And embarrassingly, like I've got some wide pants on.

01:01:52.850 --> 01:01:53.650
Like you know.

01:01:53.890 --> 01:01:54.210
Yeah.

01:01:54.370 --> 01:01:59.090
I mean, it's all it's kind of embarrassing to like look at the silly things that people

01:01:59.090 --> 01:02:00.850
used to wear in in previous genera.

01:02:01.010 --> 01:02:04.290
I know sometimes like when I look at pictures of people wearing bell bottoms in the 70s,

01:02:04.370 --> 01:02:05.490
like they're so ridiculous.

01:02:05.570 --> 01:02:07.730
Like I can't believe people thought that was cool.

01:02:07.810 --> 01:02:08.690
And and yet people did.

01:02:08.850 --> 01:02:13.010
I'm sure at the time, like it felt like really cool, but now it's not cool.

01:02:13.250 --> 01:02:14.400
Um yeah.

01:02:14.560 --> 01:02:19.200
I our our sense of aesthetics is so interestingly blended with with status and hard to

01:02:19.200 --> 01:02:20.960
tease apart from status.

01:02:21.440 --> 01:02:25.040
Yeah, I feel like you all talked about this maybe on like another episode.

01:02:25.280 --> 01:02:29.360
Yeah, and I I feel like if I'm remembering your kind of intuition of the explanation,

01:02:29.440 --> 01:02:29.600
right?

01:02:29.680 --> 01:02:30.720
I think I think I liked it.

01:02:30.800 --> 01:02:36.350
It's like then in a sense, like keeping up with these like changing aesthetics is

01:02:36.830 --> 01:02:42.830
oh yeah it was David it was David's wife saying that you've lost it is yeah it yeah it is

01:02:43.070 --> 01:02:48.750
it is kind of like there's a skill like it is maybe showing like that you're I don't know

01:02:48.910 --> 01:02:52.270
still trying to impress somebody or you're trying to be relevant.

01:02:52.430 --> 01:02:55.950
I'm not saying this is necessarily the thing that you should be striving for, but it is

01:02:55.950 --> 01:03:00.510
communicating maybe something if you're still trying to keep up with some trends even if

01:03:00.510 --> 01:03:02.830
they are things that will collapse soon.

01:03:03.460 --> 01:03:06.340
That you're sa socially savvy enough to be aware of the trends.

01:03:06.660 --> 01:03:10.900
Because they're often pretty subtle and hard to you know notice um and pick up on.

01:03:11.060 --> 01:03:14.740
And if you can pick up on those trends, then you're going to be pretty socially competent.

01:03:14.900 --> 01:03:19.300
And picking up on other subtle cues and avoiding embarrassing yourself, like that's that's

01:03:19.300 --> 01:03:20.020
a good skill to have.

01:03:20.100 --> 01:03:23.220
I think it's it's a kind of social coordination ability.

01:03:23.460 --> 01:03:25.300
Um that's another dimension of status.

01:03:25.670 --> 01:03:25.830
Yeah.

01:03:25.910 --> 01:03:31.670
And I think a lot of stuff uh is explained by understanding this issue that it's about the

01:03:31.670 --> 01:03:34.310
audience and that there may not be a uniform audience.

01:03:34.390 --> 01:03:40.390
So like kids are signaling and negotiating status with themselves at some level.

01:03:40.550 --> 01:03:44.630
So, you know, like the like the old man, like these kids in their baggy pants, you know,

01:03:44.710 --> 01:03:46.150
it's like and the kids don't care.

01:03:46.310 --> 01:03:50.800
The kids are doing stuff to piss off the older adults, or they or the older adults just

01:03:50.800 --> 01:03:53.040
like it's not part of their status scheme.

01:03:53.200 --> 01:03:58.880
Um, and so I I think the idea that this is all about status

01:03:59.360 --> 01:04:05.200
is with respect to an audience, and that audience may or may not be as many

01:04:05.200 --> 01:04:06.640
people as possible, right?

01:04:07.040 --> 01:04:10.880
Um, and I this also comes back to this definition because the definition is like sort of

01:04:11.120 --> 01:04:14.410
how do others listen to you or defer to you?

01:04:14.650 --> 01:04:16.090
And there's two paths to do that.

01:04:16.250 --> 01:04:21.530
One is everybody, but another one is you really commit to like a narrow subset.

01:04:21.850 --> 01:04:22.090
Right.

01:04:22.250 --> 01:04:26.890
So you can imagine sort of like I'm generally like well respected, like take it back to Pat

01:04:27.050 --> 01:04:30.330
and like Kanambo, like in the village, and everybody listens to me.

01:04:30.730 --> 01:04:36.420
Or maybe like, you know, I'm just really like I'm a very partisan person and

01:04:36.420 --> 01:04:41.460
like the the this particular group, like half of them hate me, but the other half really

01:04:41.460 --> 01:04:41.860
like me.

01:04:42.020 --> 01:04:43.780
Those are two different ways of having status.

01:04:43.940 --> 01:04:48.900
One averages out to zero, but but still might be pursued, you know.

01:04:48.980 --> 01:04:51.060
And I think like, have you thought about that too?

01:04:51.220 --> 01:04:57.130
Like how status um it's not it's not

01:04:57.130 --> 01:05:01.370
maybe universal uh in the sense of who the audience is for either.

01:05:01.530 --> 01:05:02.010
Mm-hmm.

01:05:02.570 --> 01:05:07.610
Yeah, I mean I I I think this is kind of also in line with with what you're saying, but

01:05:07.610 --> 01:05:13.610
yeah, like as far as you know, we're talking about like value to some number

01:05:13.610 --> 01:05:19.360
of other people and ultimately those other people, the people who you're trying

01:05:19.360 --> 01:05:24.160
to be valuable to, or to have them have a high welfare trade-off ratio so that they'll back

01:05:24.160 --> 01:05:30.080
you in a conflict, like that group, I think only needs to

01:05:30.080 --> 01:05:34.800
be as big as or the right people

01:05:36.790 --> 01:05:40.950
to be stronger than the opposing coalition.

01:05:41.830 --> 01:05:47.510
And in some cases, probably in a lot of cases, for like at least ancestral contexts of

01:05:47.510 --> 01:05:50.950
human human groups, like you probably just want the most people.

01:05:51.270 --> 01:05:57.190
But especially in I don't know, our world, if there's one group of people that has a lot of

01:05:57.190 --> 01:06:01.350
guns, and the other group people, and the rest of people don't really have a lot of guns,

01:06:01.510 --> 01:06:06.720
you can pretty easily have more resource holding potential by just trying to get those

01:06:06.720 --> 01:06:11.840
people who have a lot of guns to really like you and want to defend you, you know, even if

01:06:11.840 --> 01:06:14.080
there are way more people in the other group.

01:06:14.320 --> 01:06:14.640
Right.

01:06:15.040 --> 01:06:19.440
So I think there probably is some of this, like you can or like more simply, right?

01:06:19.520 --> 01:06:25.280
If there's like a few warriors and a bunch of people who are not warriors, they

01:06:25.280 --> 01:06:31.280
don't fight, then like mono monopolizing the warrior group can get you status,

01:06:31.360 --> 01:06:37.350
even if as a whole, the rest of the group doesn't value any value you and wouldn't come to

01:06:37.350 --> 01:06:42.470
your aid in a conflict, as long as you at the group, the inter, like, yeah, your little

01:06:42.470 --> 01:06:48.070
coalitional level, you have more power, then I think that can be a stable way of of

01:06:48.070 --> 01:06:52.310
getting status by you know dominating another group.

01:06:52.470 --> 01:06:57.270
But really the way you're getting these group of people to come to your aid is probably

01:06:57.270 --> 01:06:58.870
through benefit generation.

01:07:00.560 --> 01:07:03.680
For them, for for the for the stronger coalition.

01:07:03.840 --> 01:07:04.080
Yeah.

01:07:04.400 --> 01:07:08.320
And that's why I think like defining groups, which is something that like obviously, you

01:07:08.320 --> 01:07:12.960
know, you're working on for me, like I got to kind of that point and I was like, I don't

01:07:12.960 --> 01:07:14.080
know what a group is.

01:07:14.720 --> 01:07:18.080
So I don't know how to define like yeah, these things.

01:07:18.240 --> 01:07:22.160
And I think that's we need a definition of how do we carve up these different groups, how

01:07:22.160 --> 01:07:26.210
do we know like who is our coalition versus the other coalitions.

01:07:26.610 --> 01:07:26.690
Yeah.

01:07:26.770 --> 01:07:29.650
And and yeah, I think it's an inference within that software.

01:07:29.810 --> 01:07:32.610
Like I don't yeah, I don't think it's like a thing out in the world.

01:07:32.690 --> 01:07:33.090
Yeah.

01:07:33.490 --> 01:07:33.810
Yeah.

01:07:33.970 --> 01:07:38.530
I mean, let me add another layer of complication to this already hugely complicated mess,

01:07:38.690 --> 01:07:42.210
where you know it's hard enough to figure out what the status landscape is now.

01:07:42.290 --> 01:07:44.370
And that's an important part of the adaptive problem.

01:07:44.530 --> 01:07:49.560
But another hugely important part of the adaptive problem is forecasting what the status

01:07:49.560 --> 01:07:52.280
landscape is likely going to be in the future.

01:07:52.440 --> 01:07:56.760
So it may be that the people with the guns have all the status, or at least they they have

01:07:56.760 --> 01:07:59.080
all the power now because they have guns and we don't.

01:07:59.400 --> 01:08:04.280
But um, if I can forecast that that situation is actually precarious, because those people

01:08:04.280 --> 01:08:09.870
with guns are actually resented by everyone in the community, And they're viewed as

01:08:09.870 --> 01:08:11.310
predatory and selfish.

01:08:11.390 --> 01:08:12.750
And there's an uprising of people.

01:08:12.830 --> 01:08:16.350
And though they're small now, they seem to have morality on their side.

01:08:16.430 --> 01:08:19.550
And morality is itself a kind of focal point for coordination.

01:08:19.710 --> 01:08:25.150
And so it might be better off for me teaming up with the band of rebels who right now are

01:08:25.150 --> 01:08:26.910
weaker and right now have lower status.

01:08:27.070 --> 01:08:31.630
But because they have the moral high ground, I can forecast that the status landscape is

01:08:31.630 --> 01:08:35.550
going to change if I team up with these people who have the moral high ground.

01:08:35.950 --> 01:08:41.360
And so that adds another aspect of this of choosing the status game that is that has more

01:08:41.360 --> 01:08:46.880
moral gravity, um, because that is a good sign that that status game is going to grow and

01:08:46.880 --> 01:08:52.880
be more stable into the future than ones that um are more fragile, are more um, you know,

01:08:53.120 --> 01:08:58.240
selfish seeming, are more likely to collapse, um, etcetera.

01:08:58.670 --> 01:09:02.350
Of course, so you now get now you gotta throw morality into the whole picture, which is its

01:09:02.510 --> 01:09:04.510
old you know whole nother complicated mess.

01:09:04.670 --> 01:09:04.990
Yeah.

01:09:05.310 --> 01:09:05.950
Yeah.

01:09:06.350 --> 01:09:06.590
Yeah.

01:09:06.670 --> 01:09:07.070
I mean it's a lot of things.

01:09:07.230 --> 01:09:12.670
What sucks is that it's like the status is just connected to literally every issue in the

01:09:12.670 --> 01:09:13.790
evolutionary social sciences.

01:09:14.190 --> 01:09:18.750
It reminds me again, this is the to be quote of like everything, the the canonical example

01:09:18.750 --> 01:09:23.310
of evolutionary psychology is high school social dynamics, which is you know, it's also

01:09:23.310 --> 01:09:27.460
this thing of like the the trope of like the high schooler who peaks during high school,

01:09:27.620 --> 01:09:30.980
you know, where you're sort of like, Well, what what genre of kid am I gonna be?

01:09:31.140 --> 01:09:36.740
Am I gonna be like a a nerd, you know, a theater kid, a music kid, a jock, or you know,

01:09:36.980 --> 01:09:42.020
popular, or and you know, you can imagine at some level there's machinery for sort of being

01:09:42.020 --> 01:09:44.420
like, you know, what are my proclivities?

01:09:44.500 --> 01:09:46.180
But then, like, what's future-proofing this?

01:09:46.260 --> 01:09:50.890
And you know, that the the kind of trope of, you know, oh man, high school was like the

01:09:50.890 --> 01:09:51.290
best thing.

01:09:51.450 --> 01:09:55.690
And then, you know, the person whose life is sort of terrible and low status after high

01:09:55.690 --> 01:09:56.170
school.

01:09:56.410 --> 01:10:01.290
It's sort of we we sort of laugh about that, but I think it's the readout of the system of

01:10:01.290 --> 01:10:06.970
like, oh, they kind of either were a victim or judged incorrectly about how

01:10:06.970 --> 01:10:08.810
future-proof the status game was.

01:10:08.890 --> 01:10:12.650
You know, they thought like, you know, being the captain of the football team and being

01:10:12.650 --> 01:10:18.000
kind of a bully and like, you know, dating the the pretty girl was the way to get status,

01:10:18.160 --> 01:10:18.880
and that worked.

01:10:18.960 --> 01:10:24.480
But then, like, the nerd who was didn't have a lot of status and maybe got picked on in

01:10:24.480 --> 01:10:29.040
high school was like, Well, I'm really smart and like I'm gonna be fine once high school's

01:10:29.040 --> 01:10:33.200
over, you know, and like has a really good job and has a good life, but then like has high

01:10:33.200 --> 01:10:37.280
status, quote unquote, according to other metrics.

01:10:37.520 --> 01:10:42.850
Um, you know, I think seeing that as as a trope, I think is a readout of this sort of like

01:10:43.090 --> 01:10:47.170
issue you're talking about, David, which is sort of like you can be wrong about which

01:10:47.170 --> 01:10:52.050
status scheme you sort of uh tie your fortunes to.

01:10:52.610 --> 01:10:52.930
Yeah.

01:10:53.330 --> 01:10:57.170
I I I think this this ties in a lot to moral progress as well.

01:10:57.410 --> 01:11:00.960
Cause a lot of a lot of moral discourse is about, you know, you know, in the next

01:11:00.960 --> 01:11:05.440
generation, our forebears are going to look back at us and and see that we were barbaric

01:11:05.440 --> 01:11:08.320
for, say, eating factory farmed meat or something like that.

01:11:08.480 --> 01:11:12.960
And a big part of you know the moral discourse game is finding issues that our forebears

01:11:13.120 --> 01:11:15.440
are going to look back at us and condemn.

01:11:15.600 --> 01:11:20.000
And if we can find that now, then that's that's a forecast of the future status landscape.

01:11:20.080 --> 01:11:23.210
And that is a good investment to invest if invest in now.

01:11:23.290 --> 01:11:27.450
So if I see that, you know, this eating factory farm meat business, this isn't looking

01:11:27.450 --> 01:11:27.610
good.

01:11:27.850 --> 01:11:32.250
This this status game is gonna is gonna collapse pretty soon, and and the vegans are gonna

01:11:32.250 --> 01:11:34.330
end up looking morally superior to everyone else.

01:11:34.410 --> 01:11:37.370
So I better get in on this veganism business now.

01:11:37.450 --> 01:11:41.930
Um and I'm making kind of a moral status game forecast for the future.

01:11:42.090 --> 01:11:46.170
Um and I think you know that might be part of this as well.

01:11:46.250 --> 01:11:51.720
Um but before we get too wishy-washy into abstract theoretical stuff, I want to anchor us

01:11:51.720 --> 01:11:55.880
into empirical stuff, which you've done a lot of really cool empirical stuff, Patrick.

01:11:56.120 --> 01:12:02.040
Um so um you've done work on how good people are at

01:12:02.040 --> 01:12:05.480
figuring out what is going to get them status and what isn't.

01:12:05.640 --> 01:12:09.320
So could you talk about your work on on that question and how how good are people at

01:12:09.320 --> 01:12:10.760
figuring this stuff out?

01:12:11.270 --> 01:12:14.950
Yeah, I was just gonna say this sounds like a good segue into like the personality stuff.

01:12:15.030 --> 01:12:18.950
Now we're talking about yeah, like all these differences and how well people are predicting

01:12:18.950 --> 01:12:23.750
future status games versus yeah, predicting all these things about status, right?

01:12:24.230 --> 01:12:28.550
Yeah, that's basically like so after doing or not after, but while doing the status kind of

01:12:28.550 --> 01:12:32.310
stuff, learning, trying to learn more about like how do these mechanisms work at like a

01:12:32.310 --> 01:12:34.780
species typical level, yeah.

01:12:34.860 --> 01:12:39.420
I kind of got sucked into like thinking about the individual differences in these things,

01:12:39.660 --> 01:12:43.260
because there's so many spaces for these individual differences to creep in.

01:12:43.420 --> 01:12:47.900
Like, you know, we've hinted at a whole bunch of different little systems in the mind that

01:12:47.900 --> 01:12:51.980
all design are designed to like pick up on certain inputs and produce certain outputs or

01:12:51.980 --> 01:12:53.500
estimate different things.

01:12:53.820 --> 01:12:58.860
And any like differences there in any of those systems that creep in for whatever reason,

01:12:59.020 --> 01:13:04.890
either due to differences in developmental calibration or genetic noise or you

01:13:04.890 --> 01:13:10.810
know facultative calibration, whatever, like um they can produce differences in

01:13:10.810 --> 01:13:11.130
behavior.

01:13:11.210 --> 01:13:12.970
Like that's kind of the whole thing that we're talking about.

01:13:13.050 --> 01:13:16.650
Is like, are you going to pursue becoming a football player or an academic?

01:13:16.890 --> 01:13:22.890
Like somewhere your mind uh estimated one to be a better strategy than the

01:13:22.890 --> 01:13:23.450
other, maybe.

01:13:23.610 --> 01:13:28.970
And maybe that was incorrect or or something, but it led to differences in behavior, a

01:13:28.970 --> 01:13:34.300
choice, that then will lead to other aspects of your everyday behaviors changing too, and

01:13:34.300 --> 01:13:38.140
the way you think and feel will be changing too over time.

01:13:38.300 --> 01:13:44.220
And so, really, like I think these kinds of things, obviously not just hierarchy navigation

01:13:44.220 --> 01:13:48.620
mechanisms, all the psychological mechanisms in our head and individual differences

01:13:48.620 --> 01:13:54.530
therein, like are the true personality

01:13:54.530 --> 01:13:56.050
generators, so to speak.

01:13:56.130 --> 01:14:01.170
Like these are the things that produce differences in behavior that over time accumulate

01:14:01.170 --> 01:14:06.690
into these, you know, tendencies or dispositions, uh,

01:14:06.930 --> 01:14:11.810
average differences in thoughts, feelings, and behavior, which is like what personality is,

01:14:11.970 --> 01:14:15.220
according to personality psychologists.

01:14:15.540 --> 01:14:21.300
And yeah, so I started to just think about like how does differences in our ability

01:14:21.300 --> 01:14:25.860
to estimate the status impacts of different things, like how might that play into

01:14:26.500 --> 01:14:27.460
personality?

01:14:27.940 --> 01:14:32.500
And I this this is kind of like a first pass of trying to figure out like, can I measure

01:14:32.500 --> 01:14:32.900
these things?

01:14:33.060 --> 01:14:36.420
Can I measure differences in this like accuracy of the system?

01:14:36.660 --> 01:14:37.940
What would that look like?

01:14:38.180 --> 01:14:43.610
And then can I tie those parameters to broader traits

01:14:44.410 --> 01:14:50.170
like motivations um and hexaco traits is kind of where I was at there.

01:14:50.330 --> 01:14:56.170
And I I didn't make really big predictions beforehand, uh in part just because I view

01:14:56.170 --> 01:14:58.330
this work kind of as ex exploratory.

01:14:58.490 --> 01:15:03.610
Like I think the the theory is there in the thinking that there are psychological

01:15:03.610 --> 01:15:08.520
mechanisms that pay attention to these inputs and these outputs and individual differences

01:15:08.680 --> 01:15:13.560
and how people map these inputs to outputs will lead to behavioral differences.

01:15:13.640 --> 01:15:17.000
And sometimes those behavioral differences might be obvious, but I think there's going to

01:15:17.000 --> 01:15:23.000
be a lot of like non-intuitive ways in which our personality terminology, like the

01:15:23.000 --> 01:15:28.120
words that we use to describe people, which is what like our personality scales are

01:15:28.120 --> 01:15:34.070
ultimately tapping into, they're gonna map onto those things in non obvious ways.

01:15:34.230 --> 01:15:38.550
Uh so that's kind of why I view this as exploratory, even though I think it's fundamentally

01:15:38.550 --> 01:15:40.150
rooted in in theory.

01:15:40.870 --> 01:15:46.790
Um and yeah, basically, like what we found is people who are better at or at least

01:15:46.790 --> 01:15:52.710
have a closer assessment of the impact, status impacts to what other people say tend

01:15:52.870 --> 01:15:55.830
to be themselves like more motivated to get status.

01:15:55.910 --> 01:15:57.190
They're more status driven.

01:15:57.350 --> 01:16:00.880
And of course you can imagine different like causal structures at play here.

01:16:00.960 --> 01:16:05.920
Like it could be somewhere in your head there's a a motivational there, there's a

01:16:05.920 --> 01:16:11.840
motivation somehow representing how much you pay attention to status cr status

01:16:11.840 --> 01:16:12.480
information.

01:16:12.720 --> 01:16:17.040
And because you pay attention to more status information, that leads to more accurate

01:16:17.040 --> 01:16:17.920
estimates.

01:16:18.320 --> 01:16:20.720
And then that's why they're correlated.

01:16:21.230 --> 01:16:26.830
Or it could be maybe there's some other reasons why some people's status impact assessment

01:16:26.830 --> 01:16:28.830
systems or whatever are more accurate.

01:16:29.070 --> 01:16:32.750
And then as you're going through life, you know, you're getting feedback.

01:16:32.910 --> 01:16:36.670
Like if you have a really accurate one, you're probably going to be rewarded more often

01:16:36.670 --> 01:16:37.310
with status.

01:16:37.390 --> 01:16:43.320
And so it kind of feeds this motivation for status, versus if you're

01:16:43.320 --> 01:16:46.360
inaccurate a lot of times, maybe you don't get that feedback.

01:16:46.440 --> 01:16:49.960
And so you you actually learn that maybe status seeking is not a good strategy for me.

01:16:50.120 --> 01:16:52.200
So you kind of don't have that motivation as strong.

01:16:52.440 --> 01:16:54.920
So and it could be both or you know, whatever.

01:16:55.000 --> 01:16:58.600
But I think there's multiple causal pathways that could lead to that.

01:16:58.840 --> 01:16:59.960
Um yeah.

01:17:00.200 --> 01:17:03.400
And then I was just gonna ask a clarifying question.

01:17:03.480 --> 01:17:06.760
How did you measure uh accuracy of assessment?

01:17:07.170 --> 01:17:07.410
Yeah.

01:17:07.490 --> 01:17:13.410
So basically we have like these lists of acts, characteristics, and events, like 240,

01:17:13.490 --> 01:17:16.210
whatever things that you could do or somebody else could do.

01:17:16.530 --> 01:17:21.970
And you know, in this in this research, we're basically asking like a large group of people

01:17:22.130 --> 01:17:27.170
if somebody did this thing, would this increase or decrease their status in your eyes?

01:17:27.330 --> 01:17:32.370
Or sometimes it's in the eyes of others in your community, whatever the exact prompt is.

01:17:32.720 --> 01:17:36.640
So we use that or I use that as like the kind of criterion.

01:17:36.800 --> 01:17:40.160
So that's like as close to the ground truth as I think I'm going to get.

01:17:40.240 --> 01:17:42.640
And there's all kinds of issues with that, of course.

01:17:42.720 --> 01:17:44.960
Uh, but it's a way of estimating kind of the ground truth.

01:17:45.040 --> 01:17:48.480
What's the average status impact across different groups, let's say.

01:17:48.720 --> 01:17:52.480
And then I ask another group of people who are like the main subjects.

01:17:52.720 --> 01:17:55.210
They go in and I give them the same things.

01:17:55.290 --> 01:17:59.210
And I say, like, if this were if you did this thing or it happened to you, like what do you

01:17:59.210 --> 01:18:01.050
think would happen to your status?

01:18:01.530 --> 01:18:07.290
And then you can basically, like, in a sense, get a sense of like what is the

01:18:07.290 --> 01:18:10.730
difference between the criteria and each person's estimate.

01:18:10.970 --> 01:18:12.970
And you can get a couple of different parameters.

01:18:13.050 --> 01:18:18.040
Like, one is do they tend to overestimate how beneficial things are?

01:18:18.520 --> 01:18:21.160
Do they tend to underestimate how beneficial things are?

01:18:21.320 --> 01:18:22.600
That's one parameter.

01:18:22.840 --> 01:18:25.000
Kind of like, yeah, a continuum.

01:18:25.160 --> 01:18:29.240
And then the another parameter is like, do they have the rank ordering right?

01:18:29.320 --> 01:18:34.280
Like how well correlated is their estimate of the world with the, you know, the objective

01:18:34.280 --> 01:18:35.240
criterion.

01:18:35.990 --> 01:18:41.430
And so with those two, you can kind of treat them as different parameters that index like

01:18:41.430 --> 01:18:42.790
the accuracy of the system.

01:18:42.870 --> 01:18:45.590
Or that's how I've been treating these parameters anyway.

01:18:45.750 --> 01:18:50.870
So you could be like have a really good rank ordering of things, a good correlation between

01:18:50.870 --> 01:18:54.870
what you think and what most people think, but you just tend to think that things tend to

01:18:54.870 --> 01:18:59.400
be better than average, or you could tend to think that they're worse.

01:18:59.560 --> 01:19:05.000
Or you could have just like a you know, almost like messed up rank ordering of what things

01:19:05.000 --> 01:19:05.320
are better.

01:19:05.400 --> 01:19:11.000
You think this is like, you know, being good at basketball is better than being good at uh

01:19:11.640 --> 01:19:12.440
something else.

01:19:12.760 --> 01:19:16.280
I have no examples, but yeah, it could be totally flipped or whatever.

01:19:16.570 --> 01:19:22.410
And so basically I find that people who are have a better like rank ordering, a more true

01:19:22.410 --> 01:19:26.810
rank ordering or a rank ordering that corresponds more to other like the average rank

01:19:26.810 --> 01:19:30.890
ordering of people tend to have higher motivations for status.

01:19:31.130 --> 01:19:35.210
And they also tend to think that things are better for status than they are.

01:19:35.770 --> 01:19:38.810
So they overestimate the status benefits of of acts.

01:19:39.450 --> 01:19:43.370
But it's still but the relative rank ordering about like which things are better than other

01:19:43.370 --> 01:19:44.730
things, they're still good at.

01:19:45.640 --> 01:19:48.600
So it's like in a way, it's like they're not inaccurate.

01:19:48.680 --> 01:19:52.600
They just kind of think like everything just seems better to them, you know?

01:19:52.920 --> 01:19:53.480
Hmm.

01:19:53.880 --> 01:19:54.200
Interesting.

01:19:54.280 --> 01:19:56.760
And how are you how you're measuring status motivations?

01:19:57.160 --> 01:20:00.760
That one's just like the standard kind of I used a couple different self-report scales.

01:20:01.000 --> 01:20:06.920
Like there's uh Kenrick has one in the fundamental uh motives, and then

01:20:06.920 --> 01:20:11.000
there's another one, I forget the the author, but they're like the standard kind of like

01:20:11.270 --> 01:20:15.510
self-report, personality type uh motivation questions.

01:20:16.150 --> 01:20:16.630
Interesting.

01:20:17.030 --> 01:20:22.950
Because if if I recall, it seems uh I think that status motivation,

01:20:23.030 --> 01:20:28.230
depending on how you measure it, is correlated with like dark triad traits like narcissism,

01:20:28.390 --> 01:20:31.590
manipulativeness, um, psychopathy.

01:20:31.910 --> 01:20:33.830
Um, is that correct?

01:20:34.480 --> 01:20:36.320
It probably depends on on how you measure it.

01:20:36.400 --> 01:20:39.680
I don't remember off the top of my head what the correl because I do have like honesty

01:20:39.840 --> 01:20:41.840
humility in the in this study.

01:20:42.320 --> 01:20:45.120
I don't remember exactly what the correlation was.

01:20:45.520 --> 01:20:46.480
But it yeah.

01:20:46.640 --> 01:20:51.120
It probably depends on exactly the wording of like what goes into those status motivation

01:20:51.120 --> 01:20:51.520
questionnaires.

01:20:51.760 --> 01:20:55.600
Is it like I want to be better than other people, I want to be superior, I like to be in

01:20:55.600 --> 01:20:56.080
charge.

01:20:56.320 --> 01:21:01.070
Or is it like I want others to value me and like you know, uh that kind of stuff.

01:21:01.470 --> 01:21:06.510
So because because yeah, like I do have the honesty humility scale, and that was another

01:21:06.510 --> 01:21:12.350
finding from that basically that study is that people who are low on honest

01:21:12.510 --> 01:21:17.870
humility, meaning like people who probably it that would correlate with the dark triad.

01:21:18.030 --> 01:21:21.390
If you're low on honesty humility, you'd be higher on dark triad traits because they're

01:21:21.470 --> 01:21:23.390
like, you know, super highly correlated.

01:21:23.790 --> 01:21:29.580
Um, they actually tended to be like less accurate in the rank ordering of things.

01:21:29.820 --> 01:21:34.460
So they tended to think that things mattered more for status than they actually did, but

01:21:34.460 --> 01:21:39.500
they were less accurate about what those things were exactly.

01:21:39.820 --> 01:21:44.540
So you know, the story that I can kind of think about in my head or my way of interpret

01:21:44.780 --> 01:21:49.900
interpreting this is like, you know, your motive, you you think things are better for

01:21:49.900 --> 01:21:55.170
status than they are, and the things that you think are better for status are are actually

01:21:55.170 --> 01:21:56.530
not better than some other things.

01:21:56.610 --> 01:22:02.610
So maybe things like trying to be assertive or uh trying to be trying to always

01:22:02.610 --> 01:22:06.450
get your way or show that you're better than other people, like you might think that those

01:22:06.450 --> 01:22:09.330
are good, but they're most people think that they're not good.

01:22:09.490 --> 01:22:14.050
And so you do behaviors that other people interpret as being like

01:22:14.050 --> 01:22:19.890
Machiavellian or you know not humble, you know, and

01:22:19.890 --> 01:22:25.300
that filters into your your story of what your personality is.

01:22:25.860 --> 01:22:26.420
Basically.

01:22:26.980 --> 01:22:31.780
So it suggests that assholes might be just bad at status seeking.

01:22:31.860 --> 01:22:34.500
They might not realize that being an asshole is low status.

01:22:35.700 --> 01:22:40.580
Yeah, I think some I think that might be some of what of what's going on here and we have

01:22:40.580 --> 01:22:46.020
an another study not looking at status things, but I think assholes, people, people that

01:22:46.020 --> 01:22:49.470
either other people think of assholes and then might think of themselves as assholes

01:22:49.550 --> 01:22:54.510
because other people think of them as assholes, like they might just be less accurate at

01:22:55.310 --> 01:23:01.230
estimating these important social things uh that go factor into these decisions and

01:23:01.230 --> 01:23:06.670
behaviors and things people say, and that influences that how people how much people think

01:23:06.670 --> 01:23:07.950
they're an asshole, you know?

01:23:08.110 --> 01:23:13.080
Uh to to defend assholes, which I don't want to do, but just from a purely scientific

01:23:13.080 --> 01:23:16.520
perspective, it's sort of, I think there could be an argument that it's sort of similar to

01:23:16.520 --> 01:23:21.880
like being a criminal, which is sort of if you ask people like, would it be good to like

01:23:21.880 --> 01:23:22.520
rob somebody?

01:23:22.680 --> 01:23:24.040
Everyone would be like, That's terrible.

01:23:24.280 --> 01:23:25.000
Don't do it.

01:23:25.240 --> 01:23:30.200
But the the problem is you get the benefit from doing it to one person, you know.

01:23:30.360 --> 01:23:36.290
So like it might be a thing of uh somebody is like I think a thing is very common

01:23:36.530 --> 01:23:42.130
is women who sort of seem vulnerable, and like some asshole dude is like really

01:23:42.210 --> 01:23:44.610
manipulative or controlling of her.

01:23:45.250 --> 01:23:50.930
Most people would say that that's a bad thing, but the benefits that

01:23:50.930 --> 01:23:56.680
guy's getting are sort of flowing through her, and is he's sort of protecting himself from

01:23:56.680 --> 01:23:58.360
like the the rest of the social world.

01:23:58.520 --> 01:24:04.200
So, in other words, like he's he's in he's a strategy getting a benefit from

01:24:04.440 --> 01:24:10.440
one particular person, even though most people would argue what he's doing is wrong.

01:24:10.520 --> 01:24:16.280
And that's where like the crime metaphor comes in, where it's sort of like the costs aren't

01:24:16.280 --> 01:24:17.800
always what everybody thinks.

01:24:17.960 --> 01:24:22.840
It might just be you're this this asshole is still getting a benefit because the way that

01:24:22.840 --> 01:24:26.610
they can exploit a small subset of the population.

01:24:27.490 --> 01:24:32.050
Or like in their group like their group of people, their peers, like the status game

01:24:32.050 --> 01:24:37.170
they're playing is actually that like you have maybe it is like you need to control, you

01:24:37.170 --> 01:24:39.570
know, your spouse or whatever, or it is that you need to control it.

01:24:39.730 --> 01:24:43.170
You're just you're uh you're things to be cool, you know, that's it.

01:24:43.490 --> 01:24:48.960
You're in some sort of um uh um you know, I don't know, what what are these uh

01:24:48.960 --> 01:24:53.200
pickup artists, you know, or like your that's your that's your status community, right?

01:24:53.360 --> 01:24:55.120
And so you're just that's what you're doing.

01:24:55.200 --> 01:24:55.600
Yeah.

01:24:56.000 --> 01:24:56.240
Yeah.

01:24:56.400 --> 01:25:00.560
And that's where I think my like the way I've empirically tried to do this anyway, it

01:25:00.560 --> 01:25:05.600
breaks down because it really I think we need to be at the level of like individual groups.

01:25:05.760 --> 01:25:06.000
Right.

01:25:06.240 --> 01:25:10.480
And the people in those groups and define the status criteria within those groups because a

01:25:10.480 --> 01:25:15.930
lot of what my work might be capturing is just deviations from like the average,

01:25:16.090 --> 01:25:17.450
whatever the average group is.

01:25:17.530 --> 01:25:22.490
So it's kind of not the exact comparison I want to be making, you know, but just trying to

01:25:22.490 --> 01:25:25.210
delineate like how how do what do I model this?

01:25:25.370 --> 01:25:29.370
Because that's kind of where I'm trying to see my work or where I see my work heading is

01:25:31.450 --> 01:25:36.570
with individual differences, trying to like model the actual parameters within these

01:25:36.570 --> 01:25:38.250
psychological mechanisms.

01:25:38.540 --> 01:25:44.540
and you like getting an estimate, for example, of like uh how well is your

01:25:44.540 --> 01:25:50.140
situation detector for devaluation functioning?

01:25:51.180 --> 01:25:54.300
And then, you know, what is your set point for devaluation?

01:25:54.380 --> 01:25:58.060
What's your threshold for how much you'll tolerate be being devaluated?

01:25:58.220 --> 01:26:03.810
And then, like, what behaviors do you view as being having high utility for

01:26:03.810 --> 01:26:06.530
solving the problem of being devaluated?

01:26:06.690 --> 01:26:10.930
Like all of that within the shame s shame system, those could be different parameters.

01:26:11.570 --> 01:26:17.090
And I want to be able to measure those parameters somehow and then link them to the these

01:26:17.090 --> 01:26:23.090
traditional lexical concepts in personality to try and give us an explanatory account

01:26:23.090 --> 01:26:28.920
of what these lexical descriptive uh dimensions are, like the big five and

01:26:29.080 --> 01:26:29.960
hexaco.

01:26:30.920 --> 01:26:35.400
So, so to get so personality, because we're we're starting in on this, but I want to just

01:26:35.400 --> 01:26:37.000
make sure it's clear for everybody.

01:26:37.240 --> 01:26:43.240
So, one idea is that in a world where there are no differences between people,

01:26:43.480 --> 01:26:48.760
there's sort of just state-dependent paths where you just happen to be exposed to comic

01:26:48.760 --> 01:26:54.550
books, and David gets exposed to jokes and I get exposed to bike riding and

01:26:54.870 --> 01:27:00.870
we um we just start down the path of maybe this is a status

01:27:00.870 --> 01:27:06.310
game we'd like to pursue and the mystery of

01:27:06.630 --> 01:27:11.990
personality is why are there stable differences or correlated differences

01:27:12.310 --> 01:27:14.230
among individuals?

01:27:14.710 --> 01:27:19.780
And I guess the idea is that at some level that's driven by

01:27:20.580 --> 01:27:25.860
a commitment to a particular strategy and an assessment of the cost of switching?

01:27:25.940 --> 01:27:31.540
So, for example, if you're down the path of comic books or bicycles or telling

01:27:31.540 --> 01:27:36.420
jokes, every moment you spend investing in that,

01:27:37.110 --> 01:27:42.870
there's more of a switch cost and an opportunity cost to switch to the next thing all SQL.

01:27:42.950 --> 01:27:48.710
So even on a world where there's no differences or proclivities, just by simply being

01:27:48.710 --> 01:27:53.670
exposed to like one kind of status game versus another, you might get just by virtue of

01:27:53.670 --> 01:27:58.230
this evolved design of calculating what are the switch costs, you might start to get stable

01:27:58.230 --> 01:27:58.710
differences.

01:27:58.870 --> 01:28:03.460
But then in addition to that, and what I just said is oversimplified, you get this extra

01:28:03.460 --> 01:28:09.220
thing of there's an assessment of is this body envelope good at riding

01:28:09.220 --> 01:28:11.700
bikes versus telling jokes versus comic books?

01:28:11.780 --> 01:28:14.100
I mean, it's a dumb example, but you get the idea.

01:28:14.340 --> 01:28:20.020
And then that kind of somehow you sort of feel out

01:28:20.500 --> 01:28:26.020
how am I doing if I invest five units of effort in each three of these things, how many,

01:28:26.180 --> 01:28:30.230
how many cues of success or status do I get?

01:28:30.390 --> 01:28:32.630
And maybe that also affects things.

01:28:32.870 --> 01:28:34.550
So is that the way you're thinking about it?

01:28:34.710 --> 01:28:40.390
Is that really what personality is or the stable differences

01:28:40.390 --> 01:28:41.030
between people?

01:28:41.190 --> 01:28:44.950
And we haven't talked about like the personality types yet, because we can talk about that

01:28:44.950 --> 01:28:45.430
in a second.

01:28:45.510 --> 01:28:51.460
But is this the idea that there's sort of an underlying sort of contingency rules in human

01:28:51.460 --> 01:28:56.900
beings and that leads them to invest in certain activities or

01:28:57.220 --> 01:28:58.500
have certain goals.

01:28:58.580 --> 01:29:02.420
And that is in a weird way that's part of personality.

01:29:02.580 --> 01:29:03.940
Is that the claim?

01:29:04.500 --> 01:29:07.780
Yeah, I think that's part of the part of the claim anyway.

01:29:08.340 --> 01:29:14.190
But really like I think mm the claim that I'm making, and I I think the like people that

01:29:14.190 --> 01:29:19.470
I've worked with on this also would agree with this is any any psychological system that

01:29:19.470 --> 01:29:25.230
we're talking about, whether it's shame or you know the status impact estimation system

01:29:25.470 --> 01:29:31.470
or your plant learning systems, um all of these things, you know, if

01:29:31.470 --> 01:29:37.240
we think about them like bits of code, they have more or less maybe some separable pieces.

01:29:37.400 --> 01:29:41.960
So like I like I've been thinking a lot about emotions for this because I like how there's

01:29:41.960 --> 01:29:43.080
these different pieces.

01:29:43.240 --> 01:29:48.440
And in particular, I like this like cybernetic view, which is slightly different from like

01:29:48.440 --> 01:29:53.720
the typical view, but or the way we frame things typically in the evolutionary

01:29:53.720 --> 01:29:54.840
psychological sciences.

01:29:55.000 --> 01:29:56.040
But I don't think it's at odds.

01:29:56.120 --> 01:29:59.160
I think it's just like maybe a helpful analogy for this example.

01:29:59.400 --> 01:30:02.360
So like imagine just a thermostat, right?

01:30:02.510 --> 01:30:07.390
So a thermostat in a house, it has a few different components to it that allows it to do

01:30:07.390 --> 01:30:07.950
its job.

01:30:08.190 --> 01:30:14.110
Like one of those components is a uh like basically a temperature detector, like a

01:30:14.110 --> 01:30:15.310
thermometer or whatever.

01:30:15.390 --> 01:30:18.270
And that allows it to detect the ambient temperature.

01:30:18.590 --> 01:30:24.030
And then there's also a set point, which is like the internal setting of like what the

01:30:24.030 --> 01:30:27.470
temperature should be set by the user or whatever.

01:30:27.960 --> 01:30:33.560
And basically the job of this comparator is to try using the ambient temperature index

01:30:33.960 --> 01:30:36.520
to determine is that above or below it, right?

01:30:36.760 --> 01:30:42.120
And then depending on whether it's above or below it, it will turn on uh like the air

01:30:42.120 --> 01:30:42.600
conditioning.

01:30:42.680 --> 01:30:46.280
It will do some kind of output or they call it a control element.

01:30:47.080 --> 01:30:51.480
And so if the temperature is higher than it ought to be, higher than the set point, then

01:30:51.480 --> 01:30:56.350
you turn on the control element and it should blow the cold air, not the hot air.

01:30:56.510 --> 01:30:58.750
But if it's lower, it should blow the hot air, right?

01:30:59.070 --> 01:31:04.990
So that's the way, like the species typical thermometer, that's the way it works.

01:31:05.470 --> 01:31:11.470
But I think in the in the biological world, probably even in like the like machine-made

01:31:11.470 --> 01:31:14.750
world, there are problems that can creep into any point of those systems.

01:31:14.990 --> 01:31:20.020
Your ambient temperature detectant thing could be inaccurate.

01:31:20.180 --> 01:31:24.740
It could think it's two degrees hotter than it is always, or it could just be like kind of

01:31:24.740 --> 01:31:27.220
like randomly, unreliably wrong.

01:31:27.460 --> 01:31:31.460
And that, whatever that is, it's going to feed to the comparator.

01:31:31.620 --> 01:31:34.980
And the comparator could also be different from thermostat to thermostat.

01:31:35.140 --> 01:31:39.620
Some might have the desired temperature 78, some is 76, so on.

01:31:40.070 --> 01:31:45.110
And so both of those things, if they're different, which they could, you know, be different

01:31:45.110 --> 01:31:49.510
in different combinations across different thermostats or across different people, they're

01:31:49.510 --> 01:31:53.910
going to lead to different behaviors in the thermostat, whereby like some thermostats

01:31:53.990 --> 01:31:56.150
you're going to be like, why is that thermostat going on all the time?

01:31:56.310 --> 01:31:58.870
Or why does it never go on at the times we need it to?

01:31:59.030 --> 01:32:03.910
Um, and you might be make some judgments or describe that thermostat in different ways, or

01:32:03.910 --> 01:32:07.430
just be like, I don't know, my house is too hot, or my house is too cold, or it's never the

01:32:07.430 --> 01:32:08.870
right temperature, or whatever.

01:32:09.140 --> 01:32:13.780
And I think that those folk judgments of like my thermostat isn't working correctly, or

01:32:13.780 --> 01:32:15.780
it's like always too hot or too cold.

01:32:15.940 --> 01:32:20.580
It those that's kind of like personality, the concepts of personality that we have.

01:32:20.900 --> 01:32:26.420
And then really, like I think if the if personality was a thing, like a real thing,

01:32:26.820 --> 01:32:32.340
at the functional level, it would be the differences in those set in those

01:32:32.340 --> 01:32:34.180
components of the system.

01:32:35.070 --> 01:32:39.710
And so I think for things like emotions, for example, using that thermostat example, like

01:32:39.870 --> 01:32:45.070
you have situation detectors that are looking for and integrating cues of adaptive

01:32:45.070 --> 01:32:45.470
problems.

01:32:45.550 --> 01:32:48.670
Like what's the probability that I'm being devalued right now?

01:32:48.990 --> 01:32:54.430
That feeds to some comparator, like a set point of like what is an acceptable amount of

01:32:54.430 --> 01:32:55.070
devaluation.

01:32:55.150 --> 01:33:00.190
Like maybe for most people that's zero, but there could be some fluctuation in there due to

01:33:00.190 --> 01:33:02.670
genetic noise or who knows what, you know.

01:33:02.910 --> 01:33:08.800
And then that's gonna turn on the control elements that do stuff to fix the

01:33:08.800 --> 01:33:10.160
devaluation, right?

01:33:10.640 --> 01:33:15.520
And then just to complicate that that one component a little bit more is like obviously we

01:33:15.520 --> 01:33:18.560
have more than just like turn on the hot air, turn on the cold air.

01:33:18.720 --> 01:33:23.680
You know, there's maybe there's like run away, there's lie, cover things up,

01:33:24.350 --> 01:33:26.830
fight people, like draw attention to yourself.

01:33:26.910 --> 01:33:28.110
Don't draw attention to yourself.

01:33:28.270 --> 01:33:34.270
This menu of control elements that themselves have some utility assigned

01:33:34.270 --> 01:33:39.470
to them, maybe that you've learned throughout development or have some strong priors for,

01:33:39.550 --> 01:33:40.590
or whatever.

01:33:40.830 --> 01:33:45.870
Um, and individual differences in those settings, in tandem with the individual differences

01:33:45.950 --> 01:33:50.780
in the set points and the uh the situation detecting

01:33:50.780 --> 01:33:54.460
mechanisms, like they're going to lead to differences in behavior.

01:33:54.540 --> 01:33:58.940
It might be strategic, but it could just be like there's a ton of differences out there in

01:33:58.940 --> 01:33:59.260
the world.

01:33:59.420 --> 01:34:00.540
It's maybe random.

01:34:00.700 --> 01:34:03.340
Maybe they don't even really go together that much.

01:34:03.820 --> 01:34:08.700
And it's helpful for me as somebody interacting with a bunch of other thermostats or

01:34:08.700 --> 01:34:14.130
whatever to know what these differences tend to look like and just be able to describe them

01:34:14.130 --> 01:34:19.090
to other people and make predictions about like which thermostat I want in my house or you

01:34:19.090 --> 01:34:22.930
know which person I'd want to cooperate with, or you know, who's going to be good at this

01:34:23.010 --> 01:34:23.570
or not that.

01:34:23.730 --> 01:34:27.730
And I think that's what the difference detecting you know mechanisms are trying to do is

01:34:27.730 --> 01:34:33.490
label label things about people, recognize things about people conspecifics

01:34:33.650 --> 01:34:38.450
that is good to know for decisions about who to cooperate with, who to mate with, et

01:34:38.450 --> 01:34:39.010
cetera.

01:34:39.360 --> 01:34:45.280
And because like obviously that was an oversimplified example of like how our psychological

01:34:45.280 --> 01:34:47.440
mechanisms would work using the thermostat example.

01:34:47.520 --> 01:34:52.320
But like already, that's a lot to try and track for I I would think for a brain.

01:34:52.400 --> 01:34:57.600
So like if you just have some summary variable that's like this thermostat is often wrong

01:34:57.600 --> 01:35:02.720
in this way, that could be enough to let you f make these decisions without having to know

01:35:02.720 --> 01:35:06.000
exactly like where in that system things are wrong.

01:35:08.830 --> 01:35:12.030
So so what is a uh a niche?

01:35:12.350 --> 01:35:18.350
What is niche diversity and how do niches contribute to personality

01:35:18.350 --> 01:35:18.990
variation?

01:35:19.550 --> 01:35:20.190
Yeah.

01:35:21.150 --> 01:35:25.230
Um well defining a niche is I think harder than I I gave it credit for.

01:35:25.390 --> 01:35:27.390
And this isn't my work, I I would say.

01:35:27.470 --> 01:35:33.280
Like this is, you know, uh Aaron Lukachewski, Mike Gervin, and and and

01:35:33.280 --> 01:35:36.720
Chris von Ruden push who pushed this stuff forward.

01:35:36.800 --> 01:35:40.160
I just came along as a grad student and was like, look, I found this data, like, let's do

01:35:40.160 --> 01:35:40.880
it again.

01:35:41.120 --> 01:35:46.880
Uh and I do think that this work needs to be pushed on still quite a bit, but I guess the

01:35:46.880 --> 01:35:52.850
definition of a niche is like some segment of the social world that that

01:35:52.930 --> 01:35:56.450
that you're living in, that you make your living in.

01:35:56.690 --> 01:36:00.610
And it's the way in which you make your living within the within the social world.

01:36:00.930 --> 01:36:06.770
So like some birds they look for seeds on the ground, some dig for worms, some burrow

01:36:06.770 --> 01:36:07.250
into trees.

01:36:07.330 --> 01:36:08.450
Like those are different niches.

01:36:08.850 --> 01:36:13.820
They have different affordances and different things that would be useful for doing well in

01:36:13.820 --> 01:36:16.060
that niche versus not doing well.

01:36:16.380 --> 01:36:21.580
They basically evoke different kinds of behaviors depending on what niche you're in.

01:36:22.140 --> 01:36:27.260
And because of that, they're going to lead to different traits being prominent in some

01:36:27.260 --> 01:36:28.780
niches versus others.

01:36:29.820 --> 01:36:35.740
So if you know, if you're in a world, let's say you're a bouncer at a club, like what are

01:36:35.740 --> 01:36:41.210
some traits that you think would be helpful for you to do your job to make money there?

01:36:41.930 --> 01:36:42.570
Yeah.

01:36:43.370 --> 01:36:47.770
It'd be like, I don't know, maybe being a little disagreeable, being strong and scary.

01:36:48.010 --> 01:36:48.410
Yeah.

01:36:48.650 --> 01:36:53.770
You know, being good with people, maybe, or versus a banker, like maybe you just have to be

01:36:53.770 --> 01:36:59.210
really detail oriented or not get bored very easily or something like that, you know?

01:36:59.370 --> 01:37:04.140
And so they're of course different people select into these things too, but then you're

01:37:04.140 --> 01:37:07.580
still rewarded differently in these different niches for different behaviors.

01:37:07.820 --> 01:37:07.980
Right.

01:37:08.140 --> 01:37:13.020
And so the the argument is that this, depending on the niches people go into, especially if

01:37:13.020 --> 01:37:18.220
people were to sort randomly into niches, then once you go into a niche, you get pulled in

01:37:18.220 --> 01:37:19.500
these different directions.

01:37:19.740 --> 01:37:24.940
So like before I became an academic, maybe I didn't think all that deeply or spend all that

01:37:24.940 --> 01:37:28.700
much time reading, you know, of two kind of academic papers.

01:37:28.860 --> 01:37:31.870
But now then once I went into that niche, then I spent more time doing that.

01:37:31.950 --> 01:37:36.670
So it changed my behaviors, it changed my thoughts, how I feel about doing these things.

01:37:37.150 --> 01:37:40.270
And so that kind of pulls people's traits in different directions.

01:37:41.790 --> 01:37:46.670
So at like a simple kind of level, descriptive level, like that's what we would expect to

01:37:46.670 --> 01:37:50.430
happen if people respond to the incentives of niches, which I think is kind of

01:37:50.430 --> 01:37:53.150
uncontroversial that people respond to incentives.

01:37:54.900 --> 01:38:00.900
And the the cool insight of of that work uh is that just with that

01:38:00.900 --> 01:38:06.740
simple process happening across different populations, if

01:38:06.740 --> 01:38:12.020
populations have more niches that are more unique, more different from one another,

01:38:13.620 --> 01:38:18.290
then you're gonna get more types of people, basically is is the take the takeaway that

01:38:18.290 --> 01:38:22.690
you're gonna get more personality dimensions, more different combinations of traits that go

01:38:22.690 --> 01:38:24.930
together in more different ways.

01:38:25.330 --> 01:38:30.930
And you know, there's simulations backing that up by Paul Smaldino, um, and then a couple

01:38:31.090 --> 01:38:35.730
empirical studies like at the country level, kind of giving some support for uh

01:38:35.810 --> 01:38:41.720
correlations that you would expect to find if these processes were actually

01:38:41.720 --> 01:38:44.440
operating on human personality.

01:38:44.840 --> 01:38:50.760
And so the takeaway from this is that like these dominant personality models, like the big

01:38:50.760 --> 01:38:55.560
five hexco, these kind of low-dimensional models of personality, like they're not

01:38:55.560 --> 01:38:58.920
necessarily going to be human nature.

01:38:59.080 --> 01:39:02.040
Like they're not the human personality structure.

01:39:02.120 --> 01:39:07.410
They're an emergent phenomenon that comes out of the way the human psychology were, where

01:39:07.410 --> 01:39:10.770
even if it was so simple, all it does is respond to incentives.

01:39:11.890 --> 01:39:15.330
That interacting with environments, different environments will produce different

01:39:15.330 --> 01:39:20.130
combinations of traits, which then look like more or less personality dimensions, depending

01:39:20.130 --> 01:39:22.530
on how many different niches there are.

01:39:22.850 --> 01:39:27.090
And so it's kind of pushing back against like the dominant view in psychology, which has

01:39:27.090 --> 01:39:32.290
become the dominant view since like the 80s, that the big five is what is what it is.

01:39:32.370 --> 01:39:36.610
Like that is human personality, and it's the same more or less everywhere.

01:39:37.080 --> 01:39:39.080
and that somehow it's in us.

01:39:39.240 --> 01:39:44.040
Like Costa McCray, like the biggest proponents of the five-factor model of personality.

01:39:44.200 --> 01:39:48.760
Like, I don't think it's uncharitable to say that they literally think there are like basic

01:39:48.760 --> 01:39:53.240
biological dimensions that correspond to extroversion and neuroticism and conscientiousness

01:39:53.320 --> 01:39:55.160
and openness and agreeableness.

01:39:55.400 --> 01:40:00.810
Um, whereas this view says, no, there's nothing resembling the big five in our

01:40:00.810 --> 01:40:01.770
biology.

01:40:02.010 --> 01:40:07.850
There's a whole bunch of little machines doing different tasks to solve different adaptive

01:40:08.090 --> 01:40:08.730
problems.

01:40:09.290 --> 01:40:11.210
And we should figure out what those things are.

01:40:11.450 --> 01:40:16.250
But but they might produce patterns of behavior that look like the big five, and we need to

01:40:16.250 --> 01:40:17.450
figure out maybe why.

01:40:17.610 --> 01:40:19.370
Why did that why does that get produced?

01:40:19.450 --> 01:40:22.410
You know, part of the story might be this niche thing.

01:40:22.730 --> 01:40:23.930
Uh, but that's interesting.

01:40:24.300 --> 01:40:25.180
might be another story.

01:40:25.260 --> 01:40:31.260
Like I should point out, like uh Matt Zefferman, he has been doing some simulations related

01:40:31.260 --> 01:40:37.020
to this niche, uh kind of contradicting this uh niche diversity

01:40:37.020 --> 01:40:42.060
viewpoint, highly highlighting that some of what we find, or maybe even entirely what we

01:40:42.060 --> 01:40:47.980
find, could itself be a a measurement artifact of the of the problem with exporting, you

01:40:47.980 --> 01:40:53.510
know, these personality inventories developed for a particular population, like

01:40:53.670 --> 01:40:59.350
in you know, US, European populations, to other places, you

01:40:59.430 --> 01:41:04.470
you're artificially like deflating the amount of uh personality variation that you see in

01:41:04.470 --> 01:41:05.030
these places.

01:41:05.110 --> 01:41:09.270
So that's totally uh I I looking at a simulation is like I think it's a convincing,

01:41:09.510 --> 01:41:10.550
convincing argument.

01:41:10.710 --> 01:41:13.190
And it's something we need to do a lot more work to tease apart.

01:41:13.270 --> 01:41:17.590
But I think the strength of the the niche diversity hypothesis and I mean Masswork is like

01:41:17.750 --> 01:41:20.710
personality structure probably doesn't look exactly the same everywhere.

01:41:20.920 --> 01:41:25.880
And there's no reason to expect that it should, because different minds will interact

01:41:25.880 --> 01:41:30.200
differently, or even a universal the universal human mind interacting with different

01:41:30.200 --> 01:41:33.880
environmental contexts and cultural contexts will produce different patterns of

01:41:33.880 --> 01:41:39.800
covariation, which is what defines personality structure currently

01:41:39.800 --> 01:41:41.560
in personality science.

01:41:41.800 --> 01:41:43.410
Like this is a whole different discussion.

01:41:43.570 --> 01:41:47.650
Like that probably shouldn't be how we define personality structure, maybe.

01:41:47.730 --> 01:41:53.170
If we're looking for some like something more like deep part of human nature, we shouldn't

01:41:53.170 --> 01:41:57.890
be relying on like how do things tend to covary and how do we describe those covariations

01:41:57.970 --> 01:42:00.130
with our adjectives out there in the world.

01:42:00.370 --> 01:42:04.900
Maybe we should be thinking more about like what is the the design of the human mind?

01:42:05.060 --> 01:42:06.180
What parameters are in there?

01:42:06.340 --> 01:42:11.540
What parameters might have correlations among them or have causal dependencies on one

01:42:11.540 --> 01:42:17.060
another that creates these different patterns of covariation that we see out there

01:42:17.300 --> 01:42:20.340
at the level of observable behavior?

01:42:23.060 --> 01:42:24.020
Very cool stuff.

01:42:25.050 --> 01:42:30.410
Yeah, I mean it suggests to me that we're too quick to reify

01:42:30.410 --> 01:42:36.170
personality dis uh differences that um exist in our particular cultural

01:42:36.170 --> 01:42:42.170
context but need not exist in the same way that if we were to go into a a jungle

01:42:42.170 --> 01:42:47.290
and try to map the the variation in turn and in subsistence strategies of all the different

01:42:47.290 --> 01:42:52.940
animals in that jungle, and maybe we have a nocturnal diurnal dimension or like specializes

01:42:52.940 --> 01:42:57.020
in eating fruit versus leaves versus other versus bugs dimension.

01:42:57.180 --> 01:43:01.020
And we say this these are the only dimensions by which animals vary.

01:43:01.420 --> 01:43:06.700
Well, uh, if we go into the Arctic or into a desert, uh, our map of the variation is gonna

01:43:06.700 --> 01:43:07.420
be completely different.

01:43:07.580 --> 01:43:07.900
Right.

01:43:08.380 --> 01:43:13.740
It's not that these are uh inherent differences that all animals need to have, it depends

01:43:13.740 --> 01:43:18.460
on that particular ecology and what types of affordances are available to the different

01:43:18.550 --> 01:43:19.190
animals there.

01:43:19.350 --> 01:43:24.630
And I think the same is true of our cultural ecology, that there are different

01:43:24.630 --> 01:43:27.030
opportunities for different types of people.

01:43:27.270 --> 01:43:28.870
And that leads to covariance.

01:43:29.110 --> 01:43:34.390
So, like in an environment where I can make a lot of money as a bouncer, you know, uh

01:43:34.950 --> 01:43:40.710
physical strength and toughness and uh willingness to use force,

01:43:40.870 --> 01:43:44.560
like those things are going to intercorrelate on a questionnaire.

01:43:44.800 --> 01:43:50.800
Uh, but if I'm in a place where uh uh a bouncer does not exist as an occupation, um

01:43:51.200 --> 01:43:55.280
or w you know, in a place where if I'm strong, maybe that's going to enable me to be a

01:43:55.280 --> 01:43:55.920
better hunter.

01:43:56.000 --> 01:44:01.520
And there's a norm that hunters have to share uh their meat, well then in that environment,

01:44:01.600 --> 01:44:03.920
maybe strength will correlate with generosity.

01:44:04.160 --> 01:44:04.640
Right.

01:44:04.880 --> 01:44:09.970
Uh and that's you know, uh that doesn't necessarily mean that um there's an inherent

01:44:09.970 --> 01:44:13.250
connection between strength and generosity on the one hand and strength and, you know,

01:44:13.410 --> 01:44:15.010
toughness and meanness on the other hand.

01:44:15.170 --> 01:44:20.770
This is just dependent on uh the affordances in the environment and what opportunities are

01:44:20.770 --> 01:44:23.650
available to different types of people.

01:44:24.770 --> 01:44:25.090
Yeah.

01:44:25.410 --> 01:44:29.170
I think that's a big part of the story of personality structure for sure.

01:44:29.570 --> 01:44:29.810
Yeah.

01:44:30.120 --> 01:44:34.600
I mean and it could be that the just one quick thing, like and it could be that there still

01:44:34.600 --> 01:44:38.280
is heritable variation in things like extroversion, openness, whatever.

01:44:38.680 --> 01:44:39.400
Well we know that it is.

01:44:39.640 --> 01:44:39.720
Yeah.

01:44:39.880 --> 01:44:40.040
Yeah.

01:44:41.400 --> 01:44:41.480
Yeah.

01:44:41.880 --> 01:44:42.200
Sure.

01:44:42.280 --> 01:44:43.960
And that could, you know, tip the scales.

01:44:44.040 --> 01:44:48.520
Like if I'm deciding what niche to pursue to to fill or what status game to play, like if

01:44:48.520 --> 01:44:53.750
I'm naturally a little more, say smart, maybe I'll I'll go into this particular niche.

01:44:53.830 --> 01:44:57.590
Or if I'm naturally a little more physically strong, maybe I'll go into this niche, or I'm

01:44:57.670 --> 01:45:03.110
naturally a little more extroverted and socially adept, maybe I'll go into this niche.

01:45:03.590 --> 01:45:07.590
So you'd still expect individual differences to matter and sort of pushing you into one

01:45:07.590 --> 01:45:10.710
niche or another that you might have a comparative advantage in.

01:45:11.190 --> 01:45:13.030
Um so that that still makes sense.

01:45:13.110 --> 01:45:17.430
But you know, once you enter that niche, it's going to create um a feedback loop where I

01:45:17.500 --> 01:45:23.180
continue to cultivate those traits and and that's going to cause uh different types of of

01:45:23.180 --> 01:45:23.900
covariation.

01:45:24.140 --> 01:45:28.860
So maybe in an an initial maybe initially I'm like just a tiny bit more extroverted than

01:45:28.860 --> 01:45:29.260
average.

01:45:29.340 --> 01:45:34.940
But if I go into um say uh marketing or or or uh or a field that or

01:45:34.940 --> 01:45:39.100
networking, uh that's going to increase my extroversion even more because I I've

01:45:39.100 --> 01:45:40.220
specialized in that niche.

01:45:40.300 --> 01:45:44.860
And so what began as a very tiny difference uh uh gets magnified into a much larger

01:45:44.860 --> 01:45:47.850
difference as I uh continue to invest in that niche.

01:45:48.090 --> 01:45:50.170
Um but anyway, you were gonna say something, Dave.

01:45:50.890 --> 01:45:54.170
Uh oh, Patrick, do you want to respond to that before I go on to something?

01:45:54.570 --> 01:45:58.570
No, I mean I do think like even I think the behavioral genetics research backs this up.

01:45:58.730 --> 01:46:04.570
Like a large chunk of personality variation in the population can be attributed to

01:46:04.650 --> 01:46:06.090
like truly like random.

01:46:06.330 --> 01:46:08.330
Like they don't, it's the non-shared environment.

01:46:08.410 --> 01:46:09.690
It's the gloomy paradox.

01:46:09.770 --> 01:46:10.570
We don't know what it is.

01:46:10.730 --> 01:46:12.330
It's just like randomness.

01:46:12.490 --> 01:46:12.650
Yeah.

01:46:12.890 --> 01:46:18.740
And then uh a big chunk of it is some genetic, you know, proclivities,

01:46:19.060 --> 01:46:21.940
or at least of just having genes in c in common, right?

01:46:22.100 --> 01:46:25.860
But that doesn't mean that that like there are extroversion genes or whatever, of course,

01:46:25.940 --> 01:46:26.180
right?

01:46:26.260 --> 01:46:31.380
Like the something being heritable doesn't make it or attribute to genetics doesn't make it

01:46:31.540 --> 01:46:33.060
like a a real entity.

01:46:33.460 --> 01:46:37.620
Um and then for personnel, it's like the the shared environment is super tiny.

01:46:37.700 --> 01:46:41.540
So I think a lot of it is like these small proclivities that maybe push you a little bit in

01:46:41.540 --> 01:46:47.190
one direction, And then just like the snowballing effect of like a lot of non-shared kind

01:46:47.190 --> 01:46:51.030
of things adding up over time uh as a result of that.

01:46:52.150 --> 01:46:52.550
Yeah.

01:46:52.870 --> 01:46:57.910
Do you think my question was gonna be, do you think like so with the big five, like uh uh

01:46:58.070 --> 01:47:01.190
uh extra version, you should probably go through just for audience members who don't know

01:47:01.270 --> 01:47:05.510
like what the big five or hexico things are, which you could just like list what they are.

01:47:05.750 --> 01:47:08.980
But do you is this an accident?

01:47:09.380 --> 01:47:15.300
Like in the sense of are there other um common dimensions of variation

01:47:15.620 --> 01:47:19.060
that just haven't been stumbled upon?

01:47:19.460 --> 01:47:25.220
Um or or have they been stumbled upon because they

01:47:25.540 --> 01:47:30.740
are the most reliable dimensions of variation, whether or not they correspond to like the

01:47:30.740 --> 01:47:33.860
little machines, like in the same way, like I think the computer metaphor, which like I

01:47:33.860 --> 01:47:39.010
know the Aaron, you know, so like just imagine laptops, like some laptops are heavier or

01:47:39.010 --> 01:47:41.810
lighter, some laptops are hotter or cooler.

01:47:42.050 --> 01:47:47.570
You can imagine like those that are deep dimensions of variation that are pretty orthogonal

01:47:47.570 --> 01:47:52.370
to, or like, you know, some may be faster, slower, or whatever, louder, or you know, so

01:47:52.370 --> 01:47:57.300
they're very indirectly related to the function, but they're pretty stable differences.

01:47:57.460 --> 01:48:01.700
And if you thought, well, the way that the laptop works is heaviness or lightness or

01:48:01.700 --> 01:48:03.220
fastness, you'd be wrong.

01:48:03.380 --> 01:48:03.540
Yeah.

01:48:03.780 --> 01:48:06.660
But you can see why those attributes hang together.

01:48:06.980 --> 01:48:12.900
Is that sort of um can you connect up this laptop metaphor to how you're thinking

01:48:12.900 --> 01:48:14.260
about personality?

01:48:14.420 --> 01:48:15.940
And then this, and then the related question.

01:48:16.020 --> 01:48:20.980
Sorry, this is a complicated one, is just then what is is the question of like

01:48:21.890 --> 01:48:25.170
are what's up with these big five?

01:48:25.250 --> 01:48:29.410
And are there really big twelve and we haven't found the other seven or no one bothered to

01:48:29.410 --> 01:48:29.730
look for them?

01:48:29.890 --> 01:48:30.930
Or what do you think about that?

01:48:31.170 --> 01:48:31.570
Yeah, yeah.

01:48:31.650 --> 01:48:34.690
I'll take the that question first about like where how do we get here?

01:48:34.770 --> 01:48:36.210
Are these useful?

01:48:36.690 --> 01:48:42.690
Um and I I think like okay, so the history of this stuff is right, like Gordon Alport and

01:48:42.690 --> 01:48:46.690
whoever like looked in the dictionary, got a bunch of words that people used to describe

01:48:46.690 --> 01:48:49.860
people's tendencies, and then took those words.

01:48:49.940 --> 01:48:53.940
And over decades, researchers gave these all these different adjectives and asked people

01:48:54.180 --> 01:48:57.620
how much does this describe you, or how much does it describe your best friend, or we all

01:48:57.700 --> 01:48:58.340
that stuff.

01:48:58.580 --> 01:49:00.580
So, like hundreds, thousands of words.

01:49:00.740 --> 01:49:04.180
I want to say like 4,000 or 6,000 words or something like that.

01:49:04.500 --> 01:49:08.980
All these ratings, from those ratings, they can get the correlations among all these

01:49:08.980 --> 01:49:14.260
adjectives, and they boil them down with factor analysis or principal components analysis

01:49:14.580 --> 01:49:17.060
into some lower number of dimensions.

01:49:17.590 --> 01:49:22.230
And I think the first one, yeah, let's say something like 16, but then they found some

01:49:22.230 --> 01:49:28.150
mistakes and then like literally decades of people redoing this, like all through the 50s,

01:49:28.310 --> 01:49:29.750
60s to the 80s.

01:49:29.830 --> 01:49:32.870
People were doing this and debating over personality structure.

01:49:33.110 --> 01:49:35.670
And it they kept converging as I understand it.

01:49:35.750 --> 01:49:39.990
And you can look back and see they just keep finding something like the big five, which is

01:49:40.150 --> 01:49:46.100
uh extroversion, openness to experience, agreeableness, neuroticism, and

01:49:46.100 --> 01:49:47.380
conscientiousness.

01:49:47.620 --> 01:49:53.460
And those describe the patterns of correlations that they that they found in those

01:49:53.460 --> 01:49:55.380
6,000 adjectives, right?

01:49:55.620 --> 01:49:59.300
So it's a useful summary of all these different ways that people vary.

01:50:00.100 --> 01:50:02.180
And I don't think that's a mistake.

01:50:03.030 --> 01:50:05.510
Although the hexaco does highlight that.

01:50:05.750 --> 01:50:11.590
Because the the hexaco, the difference there is just like in 2000 or whatever, they went

01:50:11.590 --> 01:50:12.550
back to the dictionary.

01:50:12.630 --> 01:50:13.350
They started over.

01:50:13.510 --> 01:50:17.590
And they added just some words that weren't that were excluded from like the original

01:50:17.590 --> 01:50:21.190
lexical approaches because they didn't want words that had to do with like moral valuation

01:50:21.430 --> 01:50:25.030
moral evaluations to be considered for personality.

01:50:25.270 --> 01:50:29.600
And as I understand it, you know, the hexago folks, they included those words, redid

01:50:29.600 --> 01:50:32.800
everything again, and lo and behold, they get another dimension that basically has to do

01:50:32.800 --> 01:50:33.680
with like morals.

01:50:34.160 --> 01:50:35.360
How big of an asshole you are.

01:50:36.080 --> 01:50:36.160
Yeah.

01:50:36.240 --> 01:50:37.120
So it's like, okay, yeah.

01:50:37.200 --> 01:50:39.360
So anything that we didn't include is not going to be there.

01:50:39.440 --> 01:50:44.720
If we included things like physical characteristics in that original word count, which some

01:50:44.720 --> 01:50:48.480
European personality psychologists probably would have wanted to do, or intelligence, like

01:50:48.560 --> 01:50:50.240
there's nothing about intelligence in there.

01:50:50.320 --> 01:50:52.480
Yeah, then we're missing those dimensions too.

01:50:52.910 --> 01:50:57.150
And the point is that they're as useful as they're gonna be for describing all the words

01:50:57.150 --> 01:51:01.230
that you wanted to dis that you included as being worthy of describing in the first place.

01:51:01.550 --> 01:51:01.870
I see.

01:51:02.110 --> 01:51:05.790
And coordinated, musical, funny, those aren't all left out.

01:51:06.030 --> 01:51:07.230
Yeah, they're they're not really in there.

01:51:07.310 --> 01:51:10.990
Like they've no doubt they're gonna correlate with some of the big five anyway.

01:51:11.310 --> 01:51:16.110
But but uh yeah, I think these things are it just solves it solved the problem of like

01:51:17.140 --> 01:51:20.020
uh coordination for personality psychology.

01:51:20.100 --> 01:51:22.180
What traits are we gonna coordinate about studying?

01:51:22.340 --> 01:51:26.020
Because everybody originally was like studying their own random personality traits, give

01:51:26.020 --> 01:51:27.460
them their own random names.

01:51:27.700 --> 01:51:31.700
And at least this way we have some random names that everybody agrees on, and like we're

01:51:31.700 --> 01:51:33.220
gonna study those things.

01:51:33.540 --> 01:51:39.140
And the the problem, if which there is a problem with this stuff, is I think the sleight of

01:51:39.140 --> 01:51:44.910
hand of reification, circular reasoning, which uh some people uh

01:51:45.230 --> 01:51:48.830
Simon Bogue, I think, has a really cool paper called like verbal magic.

01:51:48.990 --> 01:51:54.510
And it's this combination of circular reasoning and and reification where I think the field

01:51:54.590 --> 01:52:00.510
like to do the slide of hand, maybe completely unaware, but where it's just like

01:52:00.590 --> 01:52:06.430
these things which were originally descriptive constructs became the explanatory construct.

01:52:06.590 --> 01:52:11.740
They're the they they stand in place of like learning about what are the actual underlying

01:52:11.740 --> 01:52:12.060
mechanisms.

01:52:12.220 --> 01:52:14.620
So it's like it's it's going back to your computer analogy.

01:52:14.780 --> 01:52:18.780
It's like saying, Oh, we learned like the most important ways that computers are different

01:52:18.780 --> 01:52:24.300
from one another is that they differ in speed and functionality and size and

01:52:24.300 --> 01:52:26.060
clarity of the screen.

01:52:26.220 --> 01:52:29.420
And therefore, like I know how to make the best computer.

01:52:29.660 --> 01:52:30.700
Like I know how to do it.

01:52:30.860 --> 01:52:35.690
And then you know, you sit down and you're like, Okay, I gotta just imbue this computer

01:52:35.690 --> 01:52:37.770
with speed and all these things.

01:52:38.010 --> 01:52:39.130
But you don't actually know how to do it.

01:52:39.530 --> 01:52:40.010
Yeah, exactly.

01:52:40.490 --> 01:52:41.770
You got no idea how to do it.

01:52:41.930 --> 01:52:46.650
And if you wanted to do that, you would need to understand like mechanistically how the

01:52:46.650 --> 01:52:52.570
things on the computer contribute to these emergent qualities of speed and

01:52:52.570 --> 01:52:57.210
functionality and size and clarity of the screen and and all these things.

01:52:57.440 --> 01:52:59.920
Um, and I think that's where we're we're at right now.

01:53:00.080 --> 01:53:06.080
Like we have a like a consumer guide to personality of like what are the main things

01:53:06.080 --> 01:53:11.520
that people that humans are paying attention to and labeling about other people, at least

01:53:11.520 --> 01:53:13.040
in the Western world.

01:53:13.280 --> 01:53:17.680
Uh and then, but we don't have a good idea of like what are the underlying mechanisms

01:53:17.680 --> 01:53:23.680
driving those things, or how do those underlying mechanisms produce different

01:53:23.850 --> 01:53:27.610
dimensions that people care about in other cultural contexts.

01:53:29.690 --> 01:53:29.930
Yeah.

01:53:30.170 --> 01:53:33.930
There's also a meta science thing I've did I've noticed when I wrote the difference

01:53:33.930 --> 01:53:38.650
detecting paper, and maybe this happens in personality too, which is you also fight the

01:53:38.650 --> 01:53:39.050
data.

01:53:39.290 --> 01:53:41.130
We have data and therefore it's real.

01:53:41.290 --> 01:53:41.450
Yeah.

01:53:41.690 --> 01:53:47.290
Which is that if you have a ton of data for these personality characteristics, that

01:53:47.290 --> 01:53:53.220
magic uh inference of this is a real thing, that sort of it's not

01:53:53.220 --> 01:53:57.220
warranted in the same way you could say I have a ton of data that like some computers are

01:53:57.220 --> 01:53:58.340
faster and slower.

01:53:58.500 --> 01:54:02.340
But that doesn't warrant the claim that like faster and slower is like how the machine

01:54:02.340 --> 01:54:02.740
works.

01:54:02.900 --> 01:54:03.140
Yeah.

01:54:03.300 --> 01:54:06.900
But people use that all the time to be like, of course, we've got tons of data.

01:54:06.980 --> 01:54:09.380
Like, look, people vary on, like, we have a ton of data.

01:54:09.460 --> 01:54:11.460
Like, how can you say it's not a mechanism?

01:54:11.780 --> 01:54:12.660
Yeah, totally.

01:54:12.820 --> 01:54:18.050
And I think there's actually a paper by uh Costa and McRae called like four, I don't know

01:54:18.050 --> 01:54:21.730
if it's four ways or five ways, the big five are basic, where they're basically saying,

01:54:21.810 --> 01:54:23.970
like, this is all the evidence that these are real things.

01:54:24.130 --> 01:54:25.090
Like it's heritable.

01:54:25.170 --> 01:54:26.850
We got all this cross-cultural stuff.

01:54:27.170 --> 01:54:31.250
And like I I feel like a paper needs to be written that just goes because none of them are

01:54:31.250 --> 01:54:33.970
actually reasons to believe that those are real things.

01:54:34.130 --> 01:54:38.770
They're just convincing at an intu at like a in intuitive level, like, oh yeah, this must

01:54:38.770 --> 01:54:39.490
be like thing.

01:54:39.570 --> 01:54:43.490
You think of things are heritable, or there's lots of genetics supporting that that it's a

01:54:43.490 --> 01:54:43.890
real thing.

01:54:44.050 --> 01:54:49.120
But no, like educational attainment is is heritable, but like there isn't a educational

01:54:49.120 --> 01:54:50.480
attainment entertainment.

01:54:52.160 --> 01:54:52.320
Yeah.

01:54:52.400 --> 01:54:55.040
There's no weight is not a mechanism in a computer.

01:54:55.200 --> 01:54:58.400
Like it's just it's a weird category mistake, you know.

01:54:58.480 --> 01:55:02.320
It's just but it yeah, it's real in a different way than you mean it, and you're meaning

01:55:02.320 --> 01:55:04.720
real in a very specific way that doesn't follow.

01:55:05.040 --> 01:55:05.200
Yeah.

01:55:05.360 --> 01:55:07.040
That's actually something I kind of wanted to ask you.

01:55:07.200 --> 01:55:13.070
Like I was listening to the the podcast about free will, and um if I can, you know,

01:55:13.230 --> 01:55:16.590
briefly summarize it, which hopefully this is right.

01:55:16.910 --> 01:55:22.510
You have two like your your explanation of what free will is as a concept,

01:55:22.670 --> 01:55:28.350
anyway, is that it's a it's like the placeholder or it's a marker of things that are

01:55:28.350 --> 01:55:32.190
levers that I could pull on or could be pulled on in order to change somebody's behavior.

01:55:32.510 --> 01:55:33.790
Yeah, that's how David put it actually.

01:55:34.270 --> 01:55:34.670
Is that fair?

01:55:34.830 --> 01:55:37.550
So yeah, that's that was David's characterization, which I thought was lovely.

01:55:37.630 --> 01:55:37.710
Yeah.

01:55:37.950 --> 01:55:38.110
Yeah.

01:55:38.340 --> 01:55:38.580
Cool.

01:55:38.660 --> 01:55:38.820
Yeah.

01:55:38.900 --> 01:55:42.580
And so that got me because I was like, oh, I like, yeah, what is free will as a concept?

01:55:42.740 --> 01:55:44.340
What is like personality as a concept?

01:55:44.500 --> 01:55:45.300
Why do we have that?

01:55:45.620 --> 01:55:49.540
And kind of like I I don't know if this is right, but my intuition is like almost like the

01:55:49.540 --> 01:55:50.180
flip side of that.

01:55:50.260 --> 01:55:55.300
It's kind of like the things, if there's an equation of behavior, like free will is some of

01:55:55.300 --> 01:55:57.060
the variables that are open to be changed.

01:55:57.140 --> 01:56:00.260
You can put in a different number there, convince somebody to put a different number there.

01:56:00.420 --> 01:56:06.020
But personality as a concept, not like the individual personality dimensions, it's like a

01:56:06.130 --> 01:56:09.250
recognition of the things in there that are less able to be changed.

01:56:09.410 --> 01:56:13.090
I'm not going to say like totally unable to be changed, but it's like more like the

01:56:13.090 --> 01:56:18.130
constants in the equation or things that would take longer to to change than just like

01:56:18.130 --> 01:56:21.650
trying to, you know, change their minds, so to speak, or or whatever.

01:56:21.970 --> 01:56:22.530
That's awesome.

01:56:22.690 --> 01:56:23.170
I like that.

01:56:23.330 --> 01:56:27.890
And maybe like the I'm sure you thought like maybe then also like, you know, like uh sex

01:56:28.130 --> 01:56:30.760
morph or age morphs would also go into that, right?

01:56:30.920 --> 01:56:35.240
Where it's sort of like you're not gonna convince a baby to start walking, you know, or

01:56:35.320 --> 01:56:38.360
like, yeah, or I'm not gonna convince a grumpy person to be cheerful.

01:56:38.440 --> 01:56:39.240
That's that's awesome.

01:56:39.320 --> 01:56:39.720
I love that.

01:56:39.800 --> 01:56:40.520
That's really cool.

01:56:40.840 --> 01:56:41.080
Yeah.

01:56:41.240 --> 01:56:44.760
So I was like, yeah, I've never even thought about like what what is it, what is it as a

01:56:44.760 --> 01:56:45.080
concept?

01:56:45.160 --> 01:56:45.800
What is this even for?

01:56:45.880 --> 01:56:46.520
Yeah, why do we have to do that?

01:56:46.680 --> 01:56:50.440
Yeah, why would an evolved organism think personality exists and why would it have that

01:56:50.440 --> 01:56:51.320
intuitive entry?

01:56:51.480 --> 01:56:53.080
But that's a really uh that's awesome.

01:56:53.160 --> 01:56:56.280
That's like a really clear functional reason why it would.

01:56:57.230 --> 01:57:02.270
I love this because it's a good it's a good psychology of psychology, which it it explains

01:57:02.270 --> 01:57:08.190
why personality psychologists were less interested in uh physical variation and say

01:57:08.350 --> 01:57:10.350
variation in intelligence, right?

01:57:10.590 --> 01:57:14.670
Uh because these are physical, if I'm taller or shorter, or stronger, or weaker, or

01:57:14.670 --> 01:57:18.750
healthier, or sicker, or whatever, those aren't levers that I can really pull, right?

01:57:19.060 --> 01:57:23.220
Um and so it it's natural that when when we're thinking about personality, we're focusing

01:57:23.220 --> 01:57:26.020
on the stuff that we can't we can change, um, right?

01:57:26.180 --> 01:57:27.700
Are the the levers that we can pull.

01:57:27.780 --> 01:57:29.700
So we're not gonna be interested in in physical stuff.

01:57:29.780 --> 01:57:33.140
We're not gonna be interested in, you know, how quick witted or dim witted you are because

01:57:33.140 --> 01:57:34.660
that seems like it's harder to control.

01:57:34.820 --> 01:57:38.180
We're just gonna focus on the stuff that that or actually no, I'm am I getting it

01:57:38.180 --> 01:57:38.420
backwards?

01:57:38.900 --> 01:57:41.540
I think it's a little bit backwards, but but not completely.

01:57:41.700 --> 01:57:46.970
Like I think it's it's a marker of what things are less changeable than the levers you

01:57:46.970 --> 01:57:51.130
could pull on in like an everyday interaction to change to get you to behave differently?

01:57:51.370 --> 01:57:52.650
Or like change the incentives.

01:57:52.730 --> 01:57:58.250
Like incentives can just be changed, I think, you know, or like I could try to change a

01:57:58.250 --> 01:58:02.890
belief that you have, that would then pretty in if I can change your belief like in the

01:58:02.890 --> 01:58:04.810
moment, it will have an impact on your behavior.

01:58:05.050 --> 01:58:09.520
Whereas I think personality is a stand-in for the things that are like less able to be

01:58:09.520 --> 01:58:09.840
changed.

01:58:10.160 --> 01:58:13.920
Maybe not totally unchangeable, but just a little bit more fixed.

01:58:14.080 --> 01:58:20.080
Like for example, how accurate your thermostat detection ambient temperature is,

01:58:20.160 --> 01:58:21.200
or the the set point.

01:58:21.280 --> 01:58:23.200
Like maybe those are just a little bit harder to change.

01:58:23.280 --> 01:58:26.880
And as a human navigating the world, it's helpful to know that there are some things out

01:58:26.880 --> 01:58:28.560
there that are a little bit more fixed.

01:58:28.720 --> 01:58:33.360
And so if I'm gonna try to change somebody's behavior, it narrows the space of like what

01:58:33.360 --> 01:58:36.670
should I be trying to poke on in order to change their behavior.

01:58:36.830 --> 01:58:42.110
I should poke on the free will things, you know, not the God and then to your point, like

01:58:42.270 --> 01:58:46.270
it highlights some of this like the folk differences, the psychology of psychology.

01:58:46.510 --> 01:58:50.830
European personality psychologists included back in the day, from what I understand,

01:58:50.990 --> 01:58:56.110
intelligence was part of personality, height, physical stature, muscularity, athleticism,

01:58:56.190 --> 01:58:58.030
these are personality traits for them.

01:58:58.430 --> 01:59:02.350
It's the American school, like Gordon Alport, I think, who kind of excluded that kind of

01:59:02.350 --> 01:59:02.510
stuff.

01:59:02.670 --> 01:59:07.980
So these folk intuitions about what counts as personality is itself like

01:59:08.220 --> 01:59:13.980
baked into our concepts of personality, or or no, our science of personality and our yeah,

01:59:14.060 --> 01:59:14.700
what we count.

01:59:14.860 --> 01:59:15.900
And it's possible, yeah.

01:59:15.980 --> 01:59:21.820
Like your height is less changeable than maybe some of your anger pronenessness, but

01:59:22.380 --> 01:59:25.100
maybe weight isn't or musculature isn't, you know.

01:59:25.180 --> 01:59:25.740
So anyway.

01:59:26.470 --> 01:59:26.950
That's interesting.

01:59:27.110 --> 01:59:32.950
So i it it it then would predict that domains of human variation that we intuitively think

01:59:33.110 --> 01:59:38.790
that we can change very easily, that those domains would be less likely to be considered

01:59:38.790 --> 01:59:41.190
personality traits, quote unquote.

01:59:41.430 --> 01:59:45.830
I'm trying to think of a of a good example of something that we think can be easily

01:59:45.830 --> 01:59:46.310
changed.

01:59:46.550 --> 01:59:52.480
I don't know, like um uh your willingness

01:59:52.480 --> 01:59:55.280
to um make me a hot dog, right?

01:59:55.600 --> 02:00:00.400
Um that totally depends on my um whether I can give you ten dollars to to make me the hot

02:00:00.400 --> 02:00:02.640
dog if you're a hot dog stand or whatever.

02:00:02.800 --> 02:00:05.520
It's totally uh in my power to control, right?

02:00:05.680 --> 02:00:07.120
Uh that's not a personality trait.

02:00:07.280 --> 02:00:11.120
The fact that you that you have a hot dog stand is not a part of your personality, right?

02:00:11.520 --> 02:00:15.630
Um so I don't know, maybe maybe th that's a uh one way of thinking about it.

02:00:15.790 --> 02:00:20.510
The the stuff that is easy to to manipulate through, say, money, through you know,

02:00:20.750 --> 02:00:24.030
reciprocity, that those things will not be viewed as personality traits.

02:00:24.350 --> 02:00:28.030
Um whereas people that can't things that can't be changed so easily, those will be more

02:00:28.030 --> 02:00:29.790
likely to be viewed as personality traits.

02:00:30.190 --> 02:00:30.670
Yeah, yeah.

02:00:30.910 --> 02:00:35.520
Or like in in that in that equation of how likely I am to make you a hot dog, or like will

02:00:35.520 --> 02:00:36.560
I make you a hot dog, right?

02:00:36.640 --> 02:00:38.800
Like there's some things that go into that equation.

02:00:38.880 --> 02:00:44.080
Like one of them is the incentive structure to motivate me, and and the other part is maybe

02:00:44.080 --> 02:00:49.040
some aspect of like how much I like helping people in general.

02:00:49.280 --> 02:00:53.440
And so like depending on that how much I like helping people, which maybe is a little

02:00:53.440 --> 02:00:59.250
harder to change, let's say, you know, like then you for you it'd be helpful to know like

02:00:59.330 --> 02:01:03.330
kind of where I stand on that personality trait of being willing to help people in order to

02:01:03.330 --> 02:01:07.490
know how much you need to offer me or whether it's even possible to offer me enough to make

02:01:07.490 --> 02:01:09.010
you a hot dog, you know.

02:01:09.650 --> 02:01:14.610
So it's like a it helps, I think it could help guide decisions if you have these little

02:01:14.610 --> 02:01:20.420
kind of placeholders in this these equations of like other people's behavior to to

02:01:20.420 --> 02:01:25.300
figure out like what what are the levers I can pull on, how strong do I need to pull on

02:01:25.300 --> 02:01:29.780
those levers for different people out there out there in the world.

02:01:30.100 --> 02:01:30.420
Yeah.

02:01:30.660 --> 02:01:36.100
And I like that like emotions too might be different or another part or in between where

02:01:36.100 --> 02:01:41.220
it's sort of so personality is sort of differences, but then there's also emotions which

02:01:41.220 --> 02:01:45.140
are sort of universal and common but also really dictate behavior.

02:01:45.370 --> 02:01:49.610
Um, so you know, it might be like, well, you have a particular plan about hot dogs, and

02:01:49.690 --> 02:01:53.530
like, you know, that's right, like really easy to push on the hot dog serving lever.

02:01:53.690 --> 02:01:59.370
Um, but then like, you know, if you see something that's objectively scary, like a

02:01:59.370 --> 02:02:05.370
explosion or somebody gets killed, for example, there's things that like whether we intend

02:02:05.370 --> 02:02:11.130
it or not, or plan it or not, our evolved psychology sort of takes over of like we're in a

02:02:11.200 --> 02:02:15.840
dangerous situation and we can predict our behavior, other people's behavior is like we're

02:02:15.840 --> 02:02:17.520
having this emotion of fear.

02:02:17.760 --> 02:02:22.640
And it's independent of like the that that's sort of like a universal lever.

02:02:22.720 --> 02:02:24.160
But then there's individual differences.

02:02:24.240 --> 02:02:30.000
Like maybe Patrick is like deathly afraid of like snails and he sees a snail

02:02:30.240 --> 02:02:31.520
and he like runs away.

02:02:31.600 --> 02:02:35.760
And he, you know, but David, you and I would only run away if like we saw somebody killed,

02:02:35.840 --> 02:02:36.160
you know.

02:02:36.320 --> 02:02:41.110
And so so we can then we know that like that's like a personality difference attached to

02:02:41.110 --> 02:02:42.070
this universal.

02:02:42.470 --> 02:02:47.350
So I like this idea that it's all kind of compositional predicting behavior or

02:02:47.350 --> 02:02:51.590
interventions on future behavior, get to get back to the interventionism.

02:02:52.150 --> 02:02:57.750
Um so yeah, I like personality fitting within that or emotions fitting in that and why we

02:02:57.750 --> 02:03:00.310
would have these entries or and then also like free will.

02:03:00.390 --> 02:03:01.190
Like it's the planning.

02:03:01.350 --> 02:03:03.420
Like I this is a really that's cool.

02:03:03.500 --> 02:03:04.140
I hadn't thought of that.

02:03:04.220 --> 02:03:05.740
And I I like that kind of thing.

02:03:05.900 --> 02:03:09.660
Yeah, like you can almost kind of try to figure out like what are all these personality

02:03:09.660 --> 02:03:12.300
concepts or things that personality psychologists are studying.

02:03:12.380 --> 02:03:12.460
Yeah.

02:03:12.620 --> 02:03:14.060
Like how did we even create these things?

02:03:14.140 --> 02:03:16.700
Why would we create these things with our evolved psychology?

02:03:16.860 --> 02:03:18.300
And I like the emotions one too.

02:03:18.460 --> 02:03:22.620
Like somebody I don't know who actually wrote this, but somebody once, an economist, was

02:03:22.620 --> 02:03:25.420
explaining like a game theoretic model of anger to me.

02:03:25.580 --> 02:03:31.370
And it was basically like the argument was something like anger is almost like a

02:03:31.450 --> 02:03:35.450
well, it's similar to Aaron Cells in this bargaining tactic, but it's it's like I'm in this

02:03:35.450 --> 02:03:36.170
new mode now.

02:03:36.330 --> 02:03:36.490
Yeah.

02:03:36.730 --> 02:03:38.010
The me that you know is gone.

02:03:38.250 --> 02:03:38.490
Exactly.

02:03:38.730 --> 02:03:40.570
And you're you're arguing with this thing now.

02:03:40.650 --> 02:03:40.730
Yeah.

02:03:41.050 --> 02:03:42.250
So you have to satisfy this thing.

02:03:42.810 --> 02:03:43.370
Yeah, bargaining.

02:03:43.770 --> 02:03:49.050
And having an emotion concept, maybe it like allows us to deal to navigate that and yeah,

02:03:49.210 --> 02:03:54.140
either use that or exploit it or navigate other people having those emotions, something

02:03:54.140 --> 02:03:54.380
like that.

02:03:54.700 --> 02:03:59.660
Yeah, there's a classic paper Hirschlife or Emotions of Guarantee as guaranteers of threats

02:03:59.660 --> 02:04:00.940
and promises or something like that.

02:04:01.100 --> 02:04:01.340
Okay.

02:04:01.580 --> 02:04:02.860
From like the 80s or something.

02:04:03.020 --> 02:04:03.500
Sorry, yeah.

02:04:03.580 --> 02:04:03.740
Yeah.

02:04:04.060 --> 02:04:04.300
Yeah.

02:04:04.540 --> 02:04:10.540
But I think you could see this stuff like in like in personality, there's I'm not super

02:04:10.540 --> 02:04:14.060
infamiliar with this debate, but I know that there are some personality researchers like

02:04:14.300 --> 02:04:18.540
who differ in whether they think motivations should be included in the definition of

02:04:18.540 --> 02:04:19.820
personality or not.

02:04:20.150 --> 02:04:24.470
And I think this is again where like our folk psychology psychology is coming into play.

02:04:24.790 --> 02:04:29.590
If you feel like your motivations are like the things that you can pull on, change

02:04:29.590 --> 02:04:33.750
somebody's motivation in a given moment, versus you feel like motivations are more like

02:04:33.750 --> 02:04:35.350
these basic drives.

02:04:35.590 --> 02:04:40.360
So depending on which one you think is like what people mean by motivations, then you're

02:04:40.360 --> 02:04:44.040
gonna be more or less likely to want to include that in the definition of personality.

02:04:44.200 --> 02:04:48.920
And at least these debates, or maybe we don't need to be having these debates, it's just

02:04:48.920 --> 02:04:54.200
like trying to figure out exactly what the thing is that we're trying to talk about in the

02:04:54.200 --> 02:04:54.680
first place.

02:04:55.080 --> 02:05:00.360
Yeah, like the essence of the nature, like somebody's lazy versus industrious versus um

02:05:00.680 --> 02:05:03.960
stingy versus lecherous versus gluttonous, like this.

02:05:04.040 --> 02:05:06.840
It feels very old-timey to have those be personality traits.

02:05:06.920 --> 02:05:12.650
But as you said, maybe that's it's predicated on like there's some essence essential human

02:05:12.650 --> 02:05:14.890
nature that if we include it, it's right.

02:05:14.970 --> 02:05:17.930
And if we don't include it, it's wrong, as opposed to the right way to think about it,

02:05:18.010 --> 02:05:22.250
which is these are all like difference detecting systems.

02:05:22.330 --> 02:05:23.850
And there's no right or wrong.

02:05:23.930 --> 02:05:25.850
It's just we have these.

02:05:26.010 --> 02:05:26.250
Yeah.

02:05:26.730 --> 02:05:31.040
It it also maps onto our our discourse, like the way we talk about these traits.

02:05:31.200 --> 02:05:37.040
Like if I say Dave is lazy and that's why he's not uh showing up to the podcasts, you might

02:05:37.040 --> 02:05:39.600
say, no, he's not lazy, he's just not sufficiently motivated.

02:05:39.680 --> 02:05:42.480
You're not giving him a good enough reason to show up to these podcasts.

02:05:42.560 --> 02:05:45.680
You know, maybe maybe it's your fault, or maybe it's it's it's the listener's fault.

02:05:45.760 --> 02:05:48.880
They're not you know being generous enough on our Patreon page, and that's why he's not

02:05:48.880 --> 02:05:49.120
showing up.

02:05:49.280 --> 02:05:53.200
It's not that he's inherently lazy, it's just the situation that he's in.

02:05:53.440 --> 02:05:58.080
And so the relative importance of the situation versus Dave's innate characteristic is

02:05:58.080 --> 02:06:02.930
going to determine whether Dave is quote unquote lazy or judged by us to be lazy.

02:06:03.090 --> 02:06:06.690
It's going to depend on the relative influence of different factors in determining his

02:06:06.690 --> 02:06:07.010
behavior.

02:06:07.090 --> 02:06:11.730
And a lot of our gossip, I think, is trying to pin down whether a person is inherently

02:06:11.730 --> 02:06:17.730
smart or lazy or shy or uh uh nervous or whatever, or or whether it's

02:06:17.730 --> 02:06:21.250
just a a product of the specific situation that they happen to be in.

02:06:22.140 --> 02:06:22.380
Yeah.

02:06:22.700 --> 02:06:23.340
That's really cool.

02:06:23.580 --> 02:06:25.420
Is is is the personality literature.

02:06:25.500 --> 02:06:26.780
I mean, David, that's so lovely.

02:06:26.860 --> 02:06:31.020
Is the is the personality literature Patrick acknowledging that all this is for predicting

02:06:31.020 --> 02:06:31.660
behavior?

02:06:31.900 --> 02:06:35.820
Is that or is that not a part of the I mean it's probably acknowledged in there, but I

02:06:35.820 --> 02:06:38.620
wouldn't say it's the main take on what's going on.

02:06:38.780 --> 02:06:42.860
Like it's if anything, like the closest you're gonna get to that is just like recognition

02:06:42.860 --> 02:06:44.940
that it's descriptions of behavior.

02:06:45.150 --> 02:06:45.550
I see.

02:06:46.190 --> 02:06:51.470
Like the social cognitive theories of personality, for example, and thinking like Fleason.

02:06:51.550 --> 02:06:55.710
And like they recognize that like these traits that we talk about as traits, like they're

02:06:55.710 --> 02:06:58.190
descriptive summaries of behavior.

02:06:58.350 --> 02:07:02.270
And there's a trait, what they call trait explanatory side of things.

02:07:02.510 --> 02:07:08.190
But like maybe this is too harsh, but I think they're like basically agnostic andor lost

02:07:08.190 --> 02:07:09.870
about what those things are.

02:07:10.080 --> 02:07:14.240
Whereas that's the value I think the adaptationist evolutionary approach brings, is it

02:07:14.240 --> 02:07:19.600
tells us like what should we expect the things are that are explaining the personality

02:07:19.600 --> 02:07:21.920
traits in the descriptive sense that we see.

02:07:22.080 --> 02:07:25.040
Because it tells us, well, there should be things in the head that solve all these

02:07:25.040 --> 02:07:28.320
different problems, and we can get a sense of how they might work and what their different

02:07:28.320 --> 02:07:32.960
parameters are by doing a task analysis of those things and figuring out how to robot solve

02:07:32.960 --> 02:07:33.200
that.

02:07:33.360 --> 02:07:37.280
And then you go and try to do that empirically and test, measure those little things, those

02:07:37.280 --> 02:07:43.110
parameters, and see if they do indeed link up to these descriptive uh labels that we give

02:07:43.110 --> 02:07:45.110
to people's personality traits.

02:07:45.350 --> 02:07:49.990
Uh but so much of the field, especially because like so many people who use personality

02:07:49.990 --> 02:07:53.110
scales, they're not they wouldn't, they probably wouldn't identify as personality

02:07:53.110 --> 02:07:53.670
psychologists.

02:07:53.830 --> 02:07:58.310
They're just like using them because I don't know, correlations, p-values, whatever.

02:07:58.470 --> 02:08:02.390
And like it's just implicit in the way everybody thinks about these things and writes about

02:08:02.390 --> 02:08:05.430
them that they're that they're somehow causing things.

02:08:05.780 --> 02:08:09.540
but these descriptive things can't cause much.

02:08:09.700 --> 02:08:14.340
Like they they can probably have caused some things, maybe, like, but they're not I don't

02:08:14.340 --> 02:08:17.540
think they're the main causes of behavior because they're not real.

02:08:17.860 --> 02:08:23.700
They're you know, they're abstract summaries of average tendencies, so right, yeah,

02:08:23.940 --> 02:08:24.180
right.

02:08:24.340 --> 02:08:29.270
Like the faster computers uh can do the do this thing better.

02:08:29.750 --> 02:08:30.230
That might just be a good idea.

02:08:30.470 --> 02:08:35.110
It'll predict too it'll predict buying prices and stuff like that.

02:08:35.350 --> 02:08:36.070
But yeah.

02:08:36.230 --> 02:08:40.790
You don't want to mistake that for being causally relevant for like the performance itself.

02:08:41.110 --> 02:08:41.590
Right.

02:08:41.990 --> 02:08:42.230
Right.

02:08:42.390 --> 02:08:46.710
Maybe one day we'll build a super fast computer that's faster than any computer before and

02:08:46.790 --> 02:08:47.670
will take over the world.

02:08:47.830 --> 02:08:51.510
I feel like that's a lot of the the um the arguments you hear about AI because it's

02:08:51.510 --> 02:08:51.910
reified.

02:08:52.310 --> 02:08:53.270
It's gonna be so fast.

02:08:53.430 --> 02:08:53.830
Yeah, exactly.

02:08:54.070 --> 02:08:58.740
It's gonna be so fast, it's gonna hit the threshold of fast so fast that it's gonna become

02:08:58.740 --> 02:08:59.460
human like.

02:08:59.700 --> 02:09:00.260
Yeah, exactly.

02:09:00.660 --> 02:09:02.740
That's actually the the the base logic of it.

02:09:02.820 --> 02:09:03.620
Yes, exactly.

02:09:03.780 --> 02:09:08.100
The base logic is it's gonna get so fast it's gonna become exactly like a human.

02:09:08.500 --> 02:09:08.660
Right.

02:09:08.820 --> 02:09:13.220
It's the the exact same thing where we're reifying intelligence as a real thing when um

02:09:13.300 --> 02:09:15.140
it's all it's a whole bunch of different things.

02:09:15.220 --> 02:09:18.420
And then we extrapolate that into like, oh, if we build an AI, it's gonna be super

02:09:18.420 --> 02:09:21.940
intelligent and it's gonna do all the things that we can do, but better, it's just gonna be

02:09:21.940 --> 02:09:24.590
like a wish-granting genie that can do anything.

02:09:24.910 --> 02:09:25.230
Yeah.

02:09:25.630 --> 02:09:26.110
Um anyway.

02:09:26.510 --> 02:09:30.190
Although even without that, I've seen some arguments about like even just if we were to

02:09:30.190 --> 02:09:34.670
increase like the speed of things by a lot or and it could make copies of itself, you don't

02:09:34.670 --> 02:09:35.870
even need superintelligence.

02:09:35.950 --> 02:09:38.030
It but it could very it could take over the world.

02:09:38.110 --> 02:09:42.670
It could you know with just in increases in speed and productivity that go along with that,

02:09:42.830 --> 02:09:48.140
like somebody could use that to do a lot, a lot more, have huge impacts on the world, even

02:09:48.140 --> 02:09:49.660
without the computer being super intelligent.

02:09:49.980 --> 02:09:50.300
Oh yeah.

02:09:50.620 --> 02:09:51.180
No, exactly.

02:09:51.420 --> 02:09:52.220
Yeah, no, no, no.

02:09:52.300 --> 02:09:57.180
I mean, I think the the I well, I mean, David's point, I think, right, is like we should be

02:09:57.180 --> 02:10:03.100
worried about any technology for for the usual reasons of like humans using it to like

02:10:03.340 --> 02:10:09.170
coerce others and take stuff from them or hurt them, uh, and wield it that way,

02:10:09.330 --> 02:10:14.690
as opposed to like that there's some magical spirit that's all of a sudden gonna become

02:10:14.930 --> 02:10:17.730
curiously like a human but a superhuman.

02:10:17.810 --> 02:10:18.530
Um yeah.

02:10:18.690 --> 02:10:19.170
Yeah.

02:10:19.410 --> 02:10:19.650
Yeah.

02:10:19.810 --> 02:10:20.450
Yeah.

02:10:21.250 --> 02:10:24.130
Uh Patrick, should we have asked you anything?

02:10:24.850 --> 02:10:25.250
Yeah.

02:10:25.490 --> 02:10:28.850
I mean, I did actually because I watched this or I listened to this, I did actually come

02:10:28.850 --> 02:10:29.570
prepared with one.

02:10:29.650 --> 02:10:34.530
It's not really a ask me something, but it's just like a hobby horse I want to get on for a

02:10:34.530 --> 02:10:34.770
second.

02:10:35.650 --> 02:10:38.400
So I said I don't know.

02:10:38.560 --> 02:10:40.640
Ask me how I feel about posters.

02:10:40.800 --> 02:10:41.440
Yeah.

02:10:41.920 --> 02:10:45.680
Posters like in a dorm room or posters on a scientific conference at a scientific

02:10:45.680 --> 02:10:46.080
conference.

02:10:46.320 --> 02:10:50.720
Uh Patrick, how do you feel about posters at a scientific conference if I got the question

02:10:50.720 --> 02:10:50.880
right?

02:10:51.200 --> 02:10:51.760
Yeah, yeah.

02:10:51.920 --> 02:10:56.880
I think that we need to stop printing out fancy posters and going through all jumping

02:10:56.880 --> 02:10:57.760
through all these hoops.

02:10:57.920 --> 02:11:00.990
Just put up some pieces of paper, five pieces of paper.

02:11:01.230 --> 02:11:01.710
I've seen that.

02:11:02.190 --> 02:11:03.630
When I say formatted, I do this.

02:11:03.870 --> 02:11:04.030
Okay.

02:11:04.270 --> 02:11:06.350
Yeah, because I'm just like, why are we doing all this?

02:11:06.510 --> 02:11:09.470
Like, we don't need to have this extra random veneer.

02:11:09.710 --> 02:11:11.390
Like it can be just as legible.

02:11:11.550 --> 02:11:15.230
Don't need to jump through, carry a giant tube around on a plane.

02:11:15.390 --> 02:11:18.670
In part because like I'm lazy, I don't want to do a big poster.

02:11:19.070 --> 02:11:22.240
And and so I also don't like standing out.

02:11:22.320 --> 02:11:26.640
So I'd rather just everybody, you know, got get got on board with printing out pieces of

02:11:26.640 --> 02:11:27.120
paper.

02:11:27.600 --> 02:11:28.480
You heard it here first.

02:11:28.800 --> 02:11:29.840
This is very tractable.

02:11:29.920 --> 02:11:30.960
I I think this is very important.

02:11:31.040 --> 02:11:31.680
I think it's tractable.

02:11:31.840 --> 02:11:35.040
It's the lowest costs for students and universities.

02:11:35.440 --> 02:11:40.400
But seeing then, Patrick, if we adopted this, it would be less of a compelling status

02:11:40.400 --> 02:11:40.720
signal.

02:11:41.040 --> 02:11:41.920
I know, I know, yeah.

02:11:42.160 --> 02:11:46.560
It wouldn't be it would be less costly of a signal, and then I couldn't use it to judge

02:11:46.560 --> 02:11:50.650
people based on you know how much time and energy they've put into it and then what do

02:11:50.650 --> 02:11:55.690
people I mean, because some people put them back up in their walls and like

02:11:56.650 --> 02:11:58.090
I mean if you really want to do it, fine.

02:11:58.170 --> 02:11:59.290
If you're gonna put them up somewhere.

02:11:59.450 --> 02:12:02.330
I've never put a poster up anywhere after it goes in the trash.

02:12:02.570 --> 02:12:06.570
Uh but they used to print cloth ones and you could use it like as a tablecloth.

02:12:06.650 --> 02:12:10.330
I mean, a lot of it is like provisional data often, you know, so it's not even like the

02:12:10.330 --> 02:12:11.450
final word on the thing.

02:12:11.530 --> 02:12:11.850
Yeah.

02:12:12.170 --> 02:12:13.770
Yeah, I just mean I don't know.

02:12:14.040 --> 02:12:14.600
I like this.

02:12:14.760 --> 02:12:14.920
Okay.

02:12:15.080 --> 02:12:16.360
So yeah, you heard it here first.

02:12:16.520 --> 02:12:21.880
If you can so no sh what's the what's the like one sentence summary as like just no

02:12:21.880 --> 02:12:22.440
posters?

02:12:22.680 --> 02:12:24.840
Basically do a data blitz presentation.

02:12:25.240 --> 02:12:26.360
Put a bunch of graphs and tables.

02:12:26.600 --> 02:12:26.920
Put them up.

02:12:27.000 --> 02:12:27.320
No words.

02:12:30.600 --> 02:12:31.880
It can still be nice and aesthetic.

02:12:32.120 --> 02:12:34.520
It just we don't need to, you know, go to the phone.

02:12:34.760 --> 02:12:38.600
If you're gonna put words on a put on a poster, I might as well just read a paper, right?

02:12:39.160 --> 02:12:44.110
Yeah, you know some nice headers, you know, some headers and headers and captions on the on

02:12:44.110 --> 02:12:44.510
the figures.

02:12:44.590 --> 02:12:48.750
And then if I have questions about what the figures mean and what the charts mean, I can

02:12:48.750 --> 02:12:52.270
ask the person and the person's right there and they can tell me in their own words what is

02:12:52.270 --> 02:12:52.750
happening.

02:12:52.910 --> 02:12:53.070
Right.

02:12:54.430 --> 02:12:58.350
I'm not sort of me just like awkwardly standing there and reading a paragraph that I was

02:12:58.430 --> 02:13:02.110
like when I could have just read that paragraph in the privacy of my own home on my own

02:13:02.110 --> 02:13:02.190
time.

02:13:02.350 --> 02:13:02.670
Yeah, yeah.

02:13:03.070 --> 02:13:05.790
I mean I'm not even getting into that side of the poster stuff that I'm gonna do.

02:13:05.900 --> 02:13:07.420
the social, the awkward social interaction.

02:13:07.660 --> 02:13:08.380
I'm gonna stand that way.

02:13:08.540 --> 02:13:09.980
I just mean just like the poster itself.

02:13:12.780 --> 02:13:15.660
Yeah, we gotta think of better ways of of communicating.

02:13:15.980 --> 02:13:17.900
Honestly, an interpretive dance would be better.

02:13:18.060 --> 02:13:20.860
Maybe we should have poetry slams for our for our projects.

02:13:21.020 --> 02:13:23.500
It would be more effective, I think, more memorable songs.

02:13:24.220 --> 02:13:25.980
That can't be turned into a status game, right?

02:13:26.300 --> 02:13:30.860
There used to be an HBES, um, the human behavior evolutionary society back in the day, and

02:13:30.860 --> 02:13:33.100
I was a young graduate student while this was still happening.

02:13:33.180 --> 02:13:38.650
It was so um not um attended it was like there were not many people going to it

02:13:38.810 --> 02:13:44.650
early days that it wasn't very um competitive to get in and

02:13:44.650 --> 02:13:50.650
there would literally always be one or two posters done by I mean to just put

02:13:50.650 --> 02:13:56.330
it like bluntly like crazy people where there'd be like glowing like chakras coming around

02:13:56.490 --> 02:13:56.730
people.

02:13:56.970 --> 02:14:00.570
And so there was always, you know, like they were kind of referred to as like tinfoil hat

02:14:00.730 --> 02:14:05.580
like it would just be like this really weird like you know the seventh dimension harmonics

02:14:05.580 --> 02:14:09.900
are causing people to like act selfishly and then there was just like a so david it

02:14:09.900 --> 02:14:15.020
reminded me of your just all pictures because those were often those posters stood out

02:14:15.020 --> 02:14:20.940
because they had usually very strange graphics um almost religious like um and you

02:14:21.020 --> 02:14:25.650
you know you could usually tell because either it'd be a hundred point font or a one point

02:14:25.890 --> 02:14:31.170
font, um, you know, with four words or ten thousand words on the poster and really

02:14:31.330 --> 02:14:34.850
interesting, um, really interesting pictures.

02:14:35.010 --> 02:14:35.490
Yeah.

02:14:35.810 --> 02:14:36.450
Yeah.

02:14:37.250 --> 02:14:41.570
Maybe we haven't quite figured out the optimal way to have research conferences.

02:14:41.730 --> 02:14:45.250
Maybe this is the best we can do is the poster PowerPoint format.

02:14:45.490 --> 02:14:46.050
I don't know.

02:14:46.260 --> 02:14:46.580
Yeah.

02:14:46.740 --> 02:14:47.060
Yeah.

02:14:47.700 --> 02:14:48.580
That's all I'm asking.

02:14:48.820 --> 02:14:50.340
Yeah, I think that's reasonable.

02:14:50.820 --> 02:14:56.500
And to just make it a meta science point while we're on it, is uh as a

02:14:56.500 --> 02:15:02.500
PSA, like glossy, well published like really highly produced things are

02:15:02.500 --> 02:15:05.460
not uh a good proxy for truth either.

02:15:05.700 --> 02:15:05.940
Right.

02:15:06.420 --> 02:15:10.020
Like somebody writing something on cardboard, yeah, like that's one issue.

02:15:10.100 --> 02:15:15.650
But like some of my favorite papers, like John Patton papers, are like low, low production

02:15:15.650 --> 02:15:18.850
quality, you know, old school, black and white.

02:15:18.930 --> 02:15:22.130
And then like, you know, there's a lot of journals now that have like really pretty

02:15:22.130 --> 02:15:24.850
pictures, but that doesn't mean that it's better science.

02:15:25.170 --> 02:15:26.050
Absolutely.

02:15:26.290 --> 02:15:26.930
Yeah.

02:15:27.490 --> 02:15:28.690
So yeah, we're doing it.

02:15:29.010 --> 02:15:34.440
We should just hand draw hand drawn uh eight and a half by eleven.

02:15:36.280 --> 02:15:42.280
I don't know about that, but it rewards people with good legible writing, so and

02:15:42.280 --> 02:15:42.520
drawing.

02:15:42.840 --> 02:15:43.000
Right.

02:15:43.160 --> 02:15:47.800
And if you're starting a podcast, don't bother editing it and putting high in high

02:15:47.800 --> 02:15:50.840
production values or exactly it's really self serving.

02:15:51.560 --> 02:15:52.120
Yeah, yeah, yeah.

02:15:52.440 --> 02:15:57.480
The real podcasts, you know, don't edit anything out, and they just do real talk and they

02:15:57.480 --> 02:16:02.270
include all the ums and uhs and mistakes and they're boring sometimes.

02:16:02.430 --> 02:16:03.070
They're boring sometimes.

02:16:03.310 --> 02:16:04.670
There's no show notes.

02:16:04.990 --> 02:16:05.470
Mm-hmm.

02:16:05.710 --> 02:16:05.950
Yeah.

02:16:06.590 --> 02:16:07.870
Those are the best kinds of podcasts.

02:16:08.110 --> 02:16:08.750
Yes, exactly.

02:16:09.070 --> 02:16:11.630
We should give a lot of status to those kinds of podcasts.

02:16:12.030 --> 02:16:12.750
A lot of funding.

02:16:12.830 --> 02:16:15.230
More funding is needed, as Daniel Speaker would say.

02:16:15.390 --> 02:16:15.710
Yes.

02:16:15.950 --> 02:16:19.790
Well, Patrick, um uh what are you what what are you working on really quickly next?

02:16:19.950 --> 02:16:21.710
What's your next big thing?

02:16:22.460 --> 02:16:27.980
Uh all these things still probably mainly trying to tie these parameters of emotions that I

02:16:27.980 --> 02:16:33.020
was kind of talking about, like situation detecting algorithm differences and set point

02:16:33.180 --> 02:16:36.300
differences to these broader personality traits.

02:16:36.540 --> 02:16:40.700
And then the other one is kind of this more meta question that we kind of hinted at here.

02:16:41.180 --> 02:16:46.690
Uh trying to differentiate between, yeah, these more prediction based subtasks of adaptive

02:16:46.690 --> 02:16:51.250
problems, like the one uh that that David kind of mentioned, of like just trying to predict

02:16:51.410 --> 02:16:56.850
like who among my peers is gonna get status, or predict who will my peers tend to think is

02:16:56.850 --> 02:17:01.410
worthy of status, versus the causal side of things, which is how do I intervene on the

02:17:01.410 --> 02:17:06.130
world or how can the world be intervened on in order to bring about certain changes?

02:17:06.290 --> 02:17:12.180
And I think figuring out like the space of adaptive like the complexity

02:17:12.180 --> 02:17:16.820
of different adaptive problems and what kinds of cognitive machinery could solve those

02:17:16.820 --> 02:17:16.980
problems.

02:17:17.060 --> 02:17:21.860
That's kind of like something I'm excited about, but also like honestly slowly, slow, very

02:17:21.860 --> 02:17:23.220
slowly getting into that.

02:17:23.300 --> 02:17:26.180
But yeah, anybody's interested in those things, like reach out.

02:17:26.260 --> 02:17:28.180
I'd love to talk and and chat.

02:17:28.580 --> 02:17:28.980
Cool.

02:17:29.190 --> 02:17:29.590
All right.

02:17:29.750 --> 02:17:31.110
Well, thanks so much for being on.

02:17:31.190 --> 02:17:31.830
We really appreciate it.

02:17:31.910 --> 02:17:32.470
It's great talking to you.

02:17:32.630 --> 02:17:33.190
Thanks for having me.

02:17:33.430 --> 02:17:33.590
Yeah.

02:17:33.670 --> 02:17:33.910
Yep.

02:17:33.990 --> 02:17:34.150
Yeah.

02:17:34.310 --> 02:17:35.830
And thanks for doing the podcast.

02:17:36.630 --> 02:17:38.150
Thank you for coming on.

02:17:38.630 --> 02:17:39.190
All right.

02:17:40.710 --> 02:17:42.150
David, you're still here.

02:17:42.470 --> 02:17:43.110
I'm still here.

02:17:43.190 --> 02:17:43.750
Are you still here?

02:17:43.910 --> 02:17:45.350
I am still let me check.

02:17:45.430 --> 02:17:46.390
Oh, yep, still here.

02:17:46.470 --> 02:17:46.630
Okay.

02:17:46.790 --> 02:17:47.990
Uh and you're still here.

02:17:48.230 --> 02:17:53.350
So um if you liked the episode, please subscribe.

02:17:53.580 --> 02:17:59.180
Um, you can click like, you can make comments on social media, um, preferably

02:17:59.340 --> 02:18:00.380
neutral to good.

02:18:00.460 --> 02:18:02.300
And you know, we're on Patreon.

02:18:02.540 --> 02:18:02.860
Yeah.

02:18:03.100 --> 02:18:04.380
Call a friend.

02:18:04.940 --> 02:18:10.940
Yeah, neutral third party, disinterested, shout it in the streets, buy David a fanny

02:18:10.940 --> 02:18:12.140
pack, send him French fries.

02:18:12.300 --> 02:18:15.020
I think that's almost shouted from a mountaintop.

02:18:15.260 --> 02:18:17.340
Um, yell it to people on the street.

02:18:17.420 --> 02:18:23.110
Don't do anything, be kind to yourself, give yourself some time and space,

02:18:23.270 --> 02:18:24.150
take care of yourself.

02:18:24.310 --> 02:18:25.990
I think these are drugs.

02:18:26.070 --> 02:18:26.310
Yeah.

02:18:26.950 --> 02:18:27.270
Yeah.

02:18:27.350 --> 02:18:30.870
Um well and it depends on the drug and what the context is, but yeah.

02:18:31.190 --> 02:18:31.750
Yeah, yeah.

02:18:33.510 --> 02:18:34.950
Don't be arrogant.

02:18:35.030 --> 02:18:37.030
If you think you're arrogant, you're probably not.

02:18:37.190 --> 02:18:38.470
If you don't, you probably are.

02:18:38.630 --> 02:18:40.870
I think these are all things we've covered in outros.

02:18:41.350 --> 02:18:41.670
Yep.

02:18:41.750 --> 02:18:42.630
Yeah, maybe take it.

02:18:42.870 --> 02:18:43.270
Anything new?

02:18:43.350 --> 02:18:45.030
Anything new, Fanny Pack?

02:18:45.910 --> 02:18:47.820
Uh no, not really.

02:18:48.380 --> 02:18:49.340
French fries.

02:18:50.140 --> 02:18:50.460
Okay.

02:18:51.420 --> 02:18:52.300
Uh I don't know.

02:18:52.460 --> 02:18:53.740
Watch Star Wars again.

02:18:54.140 --> 02:18:55.260
The old ones or the new ones?

02:18:55.500 --> 02:18:55.820
The old ones.

02:18:55.980 --> 02:18:56.460
The OG.

02:18:56.860 --> 02:18:57.260
Yeah, they're good.

02:18:57.420 --> 02:18:58.140
Yeah, yeah, yeah, yeah, yeah.

02:18:58.300 --> 02:18:58.540
Okay.

02:18:58.620 --> 02:18:58.860
Yeah.

02:18:59.420 --> 02:18:59.980
All right.

02:19:00.300 --> 02:19:00.860
Uh good.

02:19:01.180 --> 02:19:02.540
Well, see you next week, David.

02:19:02.700 --> 02:19:04.380
Yep, see you next week.
