WEBVTT

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David, this is Evolutionary Psychology the Podcast.

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I'm David Pinsoff.

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I'm David Petrozowski.

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This is Actual Evolutionary Psychology.

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By Actual Evolutionary

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Psychologists,

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David, today we have a weird episode where we are uh I'm outside.

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You're inside.

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Uh we have a medium uh length episode today because uh people were sick for after H

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bus.

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I'm still getting over a cold.

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So we're sort of doing a medium length episode.

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We're just talking a coup about a couple issues like design and good or bad adaptationism.

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I think, you know, we we covered some interesting topics about this this concept of design

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and why it's so important important to evolutionary psychology, what it means to be design

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minded, why it is a defensible stance to take.

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So and just some misunderstandings.

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We're going to cover in year two, we're going to also talk about just some topics and

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issues, not just interview people.

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And this is a good uh intro of that.

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But we'll we'll uh we'll end here and we'll see everybody next week.

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All right.

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Sounds good.

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Okay.

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All right.

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We're recording David.

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Today, David, how are you after HBus?

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I'm doing great.

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Yeah.

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Recharged intellectually?

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Yeah.

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And uh yeah, lots of food for thought that I'm still digesting.

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It was a wonderful HBAS.

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Fantastic.

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Yeah.

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and today is uh also a special episode because uh uh a lot

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of people are recovering from HBS.

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We've had we had uh a couple of people pull out of scheduled interviews because they

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weren't feeling well.

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Um I'm actually getting over a cold as well.

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Um uh we're gonna talk to Josh Schnodgrass soon about lassitude, which is the emotion of

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feeling not well.

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So Oh yeah, that that paper's awesome.

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I love that paper.

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Yeah, it's counterintuitive that that's an emotion.

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It is counterintuitive, uh, but also very enlightening to to view feeling sick as an

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emotion.

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Um, but so I thought we would just uh today uh we're gonna just do a sort of

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in-between episode where we're gonna cover a couple topics maybe that um people

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have questions about that we've had people submit uh questions about or or sort of common

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misunderstandings uh to catch people up who might um want to have those

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issues addressed.

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Yeah.

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I realize that's very abstract.

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Um, but uh but yeah, let's get into it, David.

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Uh one thing is um, and I can hear everybody uh ending listening because we don't

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have a guest this week.

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That's an old bit, but um, but it doesn't get old.

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Um, one question um I heard people talk about is the idea of design.

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Um, and uh here's a good uh let me pull up my um here

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we go.

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Okay, here's here is a comment from somebody who is I don't believe in evolutionary

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behavioral scientists, but I've heard this sentiment expressed before, which is why is it a

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common statement that natural selection designs traits when it literally doesn't.

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It's just a passive filter changing relative frequencies of genes.

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It doesn't design or create any gene or phenotype.

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Thoughts about that, David?

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Uh it's a really great point.

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Uh there is, I think it's a misleadingly simple question.

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It's actually hugely complicated, touching on many different things.

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So, why do we use design language when we're not intelligent design theorists?

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Uh I think the answer is that um

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it is a useful and insightful way of thinking.

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So um the philosopher Dan Dennett talks about the design stance as a kind of uh

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intuitive way of understanding the world.

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He argues that natural selection is a design process without a

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designer.

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That is, it creates the appearance of design.

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And he thinks that that is the best most insightful way to understand

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the products of natural selection, that uh you do not actually need a designer to have the

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appearance of design or the improbable functional organization of matter.

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So if you think about our tools, you know, hammers, cars, these are uh

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non-random organizations of matter, and they are improbably well

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organized for solving a particular problem.

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And Dennett has argued that natural and and Richard Dawkins and others has have ar argued

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that natural selection is the only process that can give rise to that

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improbable fit between form and function.

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There are other psychological aspects to this question, which is why do we use the design

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stance when we're trying to understand the mind?

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We have systems in the head for thinking about people, for thinking about artifacts, for

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thinking about tools and the proper functions of tools.

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We have systems in the head for thinking about foraging, mating, whatever.

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And so the question is if we're minds trying to understand the human mind, which part of

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our mind should we use to understand the human mind?

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And in traditionally in psychology, we've used our folk psychology to do psychology.

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We've used the system in the head that evolved for understanding people to understand

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people.

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But you, Dave, have argued that we should that's actually the wrong system in the head to

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use.

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Or or we shouldn't use that system primarily.

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Yeah, exactly.

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Or even primary.

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Yeah, yeah, yeah.

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Yeah.

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Um, it's better for us to to use the design stance.

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And so maybe I'll put it to you, Dave.

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So w why do you think that we should not use folk psychology to do psychology

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and and we're better off using the design stance, the artifact stance to understand

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psychology?

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Well, I think the folk psychology is fine, uh, but it doesn't get you what we

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want, which is a scientific understanding, because it's the folk psychology system is

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not designed for a scientific understanding.

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So scientific understanding has sort of two components.

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One is understanding how the thing works.

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And then the other one is prediction.

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What it means how something works is roughly speaking, that uh you understand the

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subsystems and then you understand their relations, such that you can do a counterfactual

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and sort of say if I change this part or this piece has this piece of

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information or is in this setting, this will then lead to this outcome.

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And that leads to the second part, the prediction part.

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And the idea is that natural selection, the theory of mind system, it's good at prediction,

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but it's a very rough cut.

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So, like if I know that David likes France, I know he's going to tend to go to France, but

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it's not anything like a how does the system work?

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And it's not going to be very predictive, right?

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And actually, how my theory of mind system even generates that prediction is sort of all

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black box.

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Like I don't know how that works.

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So, in the same way, like I can anticipate that David's room will um

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obey the laws of physics.

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And if I see a violation of the laws of physics, I'll be surprised.

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But that system is doing all the work.

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And if I was a physicist, I would have to flesh out what are the rules that my expectations

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follow, right?

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So basically that's just a way of saying that we have this intuition.

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It doesn't get us what are the subcomponents and how do they work bit.

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And that's where we need to come up with new pieces of design for lack of a better way of

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putting it.

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Like David, as you mentioned, like you know, a lines tracking system or visual system or

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whatever.

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And then the issue of how you carve those up is a separate issue.

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Um, but then the other part is the prediction part, and that it's hard to predict outcomes,

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even like weather or you know, the performance, like what a car will do per se.

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But in some sense, for a scientific understanding, we're at least more interested in

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narrowing the scope to here's a more mandatory style rule that a

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complex system should follow, like a computational system.

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And then if we know how the algorithms or the functions work, then we can know how

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one setting, a change in a setting should produce a certain outcome.

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And that's sort of the logic of experimental design.

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So a lot of experimental studies in psychology are not often framed this way, but you can

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think of them as if you think of them below the level of the whole agent, what you're doing

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is you're saying if if this theory of function is correct, there should be a system that's

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sensitive to this part of the world, and that if our stimuli make that system in

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into one state, then we should get some general outcome, which is what we measure in our

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study.

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So I don't know.

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I don't know, David.

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Does that answer your question?

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Um, sort of.

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So is the idea that our folk psychology system is really good at predicting things, even a

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year in advance, you can predict my physical location, uh, and that wherever

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HBS is, you can predict that I'm going to be there next year.

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And that's a really powerful prediction if you think about it.

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Like uh not even ph physicists can predict you know what's gonna happen.

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Uh well I mean th astronomers can in terms of the position of the planets and stuff like

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that, but yeah, um it's very hard to predict something a year in advance.

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Yes.

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And yet our folk psychology can do that, uh very precisely, it can predict the location of

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my body.

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And that's really impressive.

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But what you're arguing is I what I think you're arguing is that that's not enough, is

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that we also want explanation.

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Yeah.

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And so folks' psychology can tell you, you know, why I'm gonna be at HBES, or it can it can

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tell you that I'm going to be at HBES next year.

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But it cannot tell you what what it means for my mind to have a belief about HBES,

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what it means for for me to want to go there, why I want to go there, what goals am

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I trying to achieve?

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Uh what is a goal?

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The processes that are involved that that that got my body to HBAS, none of that is in the

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folk psychology system.

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And that's ideally what we want if we want to fully understand the human mind.

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We don't just want intuitions that can make certain predictions but are sort of lack any

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kind of foundation.

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We want to know what the foundation is.

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Is that one way of putting what you're saying?

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Yeah, I think so.

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I mean, I think to just put it concretely, I think this is what you said.

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I'm just gonna restate it is that if I'm using my intuition to predict that you'll be at

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HBES next year, if we want to be scientists and not just ourselves, um

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uh pre scientifically, we would want to have a scientific account of well, what does it

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mean that I predict that you're gonna go to HBES?

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Like what's going on in me that leads to the prediction that you're gonna go to

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HBus wherever it is, um, Arizona, for example.

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Um and once you start thinking about well, what is how do you explain Dave's ability to do

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that?

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Then you're starting to get scientific.

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There's a separate question, which is then how do you get scientific about the fact that

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you, David, independent of my representation of you, um, want to go to HBus?

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And what does how does how would you build a robot to do that?

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So I think you know, it comes back to this thing of uh you don't understand something if

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you can't sort of build it.

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And the goal of scientific psychology is to figure out how

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our folk psychology works and to not just use it.

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We don't have to not document what its outputs are or its contents are.

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That's sort of the thing to be explained.

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if you're just using that, then you're just not doing science, I would say.

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Or you're doing a a kind of science where you're cataloging the outputs

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of intuitive psychology, but you're still you still need principles, right?

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Like you can't just, I think it was Carl Popper who said if a scientist just collected data

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all their lives in a notebook or observations all their lives in a notebook, nobody would

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think, oh, this should be like in a science museum, because it's just, you know, like today

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I woke up and I had an egg for breakfast, and it was there was a bluebird.

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And, you know, uh, science is not just about cataloging arbitrary outcomes, it's

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an attempt to apply principles that are generalizable, rules, to make some inferences,

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uh, to have a framework.

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And if I just say David's gonna go to HBest next year, with a unless you're trying to infer

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some principle, um, then uh then you're not really trying to do, to do science.

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And once you start asking, well, what are the principles, then you start getting into,

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well, David has a desire, so that's sort of a principle, but that's a principle of our

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intuitive psychology.

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Is that a theory?

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I don't know.

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But then how does a desire work?

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And that's where you get into the to the weeds of science.

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So but that's the the basic idea is that it's just not enough.

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There's not enough um uh not enough structure in the explanation.

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David wants to go to HBus, even though it works really well.

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Yeah, that's an another interesting point, which is that the fact that you are able to

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predict my behavior a year from now itself is the thing we want to explain.

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Like that's a really impressive ability to emerge uh from nature.

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And we want an explanation of that.

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year are infinitesimally small, right?

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Insofar as you are a hunk of matter that can predict where I'm going to be in a year, we

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need an explanation for that.

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And the only explanation we know of that can explain that kind of non-random organization

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is natural selection, right?

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Entropy is really powerful.

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It prevents matter from accumulating these kinds of functional organizations.

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And insofar as we see a departure from entropy toward a system that can make

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predictions a year in advance, we want to explain that.

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We want to explain the selective process that created that system.

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Another way of putting it is that, you know, let's say I have a black box and every now and

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then it just it spits out a prediction.

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You know, tomorrow it's it's gonna rain.

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You know, a year from now Dave's gonna be at HBES.

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And I have no idea how the box works.

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I could just say, I don't want to do science.

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I'm just gonna listen to the box and uh go about my life.

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Or you could say, I want to do science and I want to figure out how the box works.

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And it seems like using folk psychology is just kind of taking the outputs of the of

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the box and reifying them and trying to spin them as as theories or as explanations when

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they're not, they're just outputs of a of a black box.

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But when we want to do science, we want to actually get in there and see how the system

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works.

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Yeah.

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And I think like this comes back to the issue of design and looping back to that, and

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there's still a lot to say about that.

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But I think the alternative to just saying like this neuron bumps into this or this

00:15:41.910 --> 00:15:47.110
molecule bumps into this, you know, it's hard to do that for David's going to end up in

00:15:47.110 --> 00:15:48.390
Arizona next year.

00:15:48.550 --> 00:15:53.620
So the middle ground is something like the design stance where you it's

00:15:53.620 --> 00:15:57.780
teleological to say, look, there's some system that has some function.

00:15:57.940 --> 00:16:03.860
Like the plant grows towards light, and we don't know exactly or worry so much

00:16:03.860 --> 00:16:05.540
about exactly how it's implemented.

00:16:05.700 --> 00:16:11.140
There's different ways to implement it physically, but we can roughly predict that the

00:16:11.140 --> 00:16:12.900
plant will grow towards light.

00:16:13.060 --> 00:16:15.460
There's a sort of a functional system that does that.

00:16:15.620 --> 00:16:20.510
And so trying to decompose desires and beliefs into more specific

00:16:21.790 --> 00:16:27.070
systems, it makes it harder because now you have lots of characters in your story, but it's

00:16:27.070 --> 00:16:30.270
not as many characters as physical interactions.

00:16:30.510 --> 00:16:33.390
And it's abstract means-ends.

00:16:33.550 --> 00:16:34.590
This has this function.

00:16:34.750 --> 00:16:38.270
And you have to sort of posit them, like, you know, there's a foraging system, it cares

00:16:38.270 --> 00:16:43.550
about calories, it cares about macronutrients, it cares about search time and handling time

00:16:43.630 --> 00:16:45.070
and costs and benefits.

00:16:45.480 --> 00:16:50.040
These are still abstractions, but they're more concrete than beliefs and desires.

00:16:50.200 --> 00:16:52.360
So I think it's just sort of this middle ground.

00:16:52.520 --> 00:16:53.080
Yeah.

00:16:53.960 --> 00:16:58.520
Another argument you could give is that what we're ultimately looking for is a unification

00:16:58.520 --> 00:17:04.280
of knowledge, of a bridging of the gap between psychology and biology and physics.

00:17:04.360 --> 00:17:08.010
That this this is all part of the same reality.

00:17:08.170 --> 00:17:13.290
There are different levels that we can look at, but ultimately we want an explanation of

00:17:13.290 --> 00:17:17.530
our minds that is concilient with and consistent with our understanding of the natural

00:17:17.530 --> 00:17:19.930
world and the physical world in general.

00:17:20.170 --> 00:17:24.970
Simply relying on our our folk psychology intuitions is not going to get us there.

00:17:25.450 --> 00:17:25.690
Yeah.

00:17:25.930 --> 00:17:30.570
I mean, one question for you, David, is I mean, like the the original email or the original

00:17:30.570 --> 00:17:36.260
comment that we read is this concern that like we're not positing that there's actually a

00:17:36.260 --> 00:17:39.460
designer, and we're sort of talking metaphorically.

00:17:39.700 --> 00:17:44.420
I wonder though, there's another argument, which is that accepting that design requires a

00:17:44.420 --> 00:17:49.700
designer is the wrong step, and that natural selection literally does design things.

00:17:49.940 --> 00:17:53.860
Maybe this is definitional because it depends on what you mean by design, but there is an

00:17:53.860 --> 00:17:59.250
argument that changes in gene frequencies are the reason

00:17:59.250 --> 00:18:04.610
why certain means-ends proximate systems exist.

00:18:04.770 --> 00:18:10.290
The reason why there's a bit of flesh that acts as if it cares about calories or that

00:18:10.290 --> 00:18:16.210
cares about something abstract like the expected reproductive success

00:18:16.210 --> 00:18:19.020
of a morph in a con specific, you know.

00:18:19.180 --> 00:18:24.060
Um, the reason why that chunk of matter does that and not the infinite number of other

00:18:24.060 --> 00:18:29.740
things it might do, like play table tennis or calculate pi to the infinite

00:18:29.740 --> 00:18:34.780
decimal place, is because those things had an effect on fitness, and

00:18:34.940 --> 00:18:40.250
fitness uh changes is what can design uh

00:18:40.490 --> 00:18:41.610
flesh, right?

00:18:41.770 --> 00:18:47.530
So I mean there's an argument that if you strip out the idea that there is a intelligence

00:18:47.530 --> 00:18:53.450
to begin with and you need to explain intelligence, then design a

00:18:53.450 --> 00:18:59.290
non-intelligent design, uh a non a design created by a pro dumb

00:18:59.290 --> 00:19:02.810
process is the original design.

00:19:03.960 --> 00:19:08.600
And there's an argument then that, you know, lateral selection literally does design, is d

00:19:08.680 --> 00:19:14.360
actually does design things insofar as what you're describing as design is a

00:19:14.360 --> 00:19:20.360
means-ends system that's acting as if it's for producing a particular kind of outcome.

00:19:20.840 --> 00:19:21.080
Right.

00:19:21.320 --> 00:19:26.350
I mean there's you could even make the argument that human design doesn't even exist to a

00:19:26.350 --> 00:19:26.670
certain extent.

00:19:26.830 --> 00:19:30.590
I mean, you can think about the the idea of an intelligence that designs something, that

00:19:30.670 --> 00:19:33.390
that itself is a folk psychology intuition.

00:19:33.710 --> 00:19:39.230
And that itself is probably a misleading description of how the process works.

00:19:39.390 --> 00:19:43.150
If you take, you know, the example of a human designing a tool to perform a particular

00:19:43.150 --> 00:19:47.900
function, even there, probably there is some kind of quasi Darwinian process going on

00:19:47.900 --> 00:19:52.860
inside that human's brain where they're thinking and considering different possibilities

00:19:52.860 --> 00:19:53.820
and possible ideas.

00:19:53.900 --> 00:19:57.980
And you know, the the ideas that make sense are going to rise to the top, and the ones that

00:19:57.980 --> 00:19:59.740
don't are going to get filtered away.

00:19:59.900 --> 00:20:02.700
And then they're going to and the ones that they try out, they're going to try some things

00:20:02.780 --> 00:20:06.220
that's not going to work, and those get discarded, and the things that actually do work are

00:20:06.220 --> 00:20:07.420
going to stick around.

00:20:07.690 --> 00:20:12.410
And then if you zoom out past that particular human and you look at the process of cultural

00:20:12.410 --> 00:20:17.530
evolution or cultural change, the design aspects that that work are probably going to be

00:20:17.530 --> 00:20:21.450
favored by cultural evolution if you're taking a cultural evolutionary perspective.

00:20:21.690 --> 00:20:25.610
It may be the case that it's just Darwinism all the way down, that there isn't even a clear

00:20:25.610 --> 00:20:29.930
case of human design, that there's a is there's a Darwinian whittling process within that

00:20:29.930 --> 00:20:34.730
human's mind, there's a Darwinian whittling process within cultural evolution that filters

00:20:34.730 --> 00:20:37.260
out the cultural variants that don't work.

00:20:37.420 --> 00:20:42.700
And it may be that, you know, there really is no quote unquote designer.

00:20:42.780 --> 00:20:45.980
And that's just a kind of folk psychological simplification.

00:20:46.140 --> 00:20:49.980
So maybe all design is without a little homunculus designing it.

00:20:50.300 --> 00:20:51.420
Yeah, it would have to be, right?

00:20:51.500 --> 00:20:56.710
And I think even within the individual, that stuff's being done by systems that are

00:20:56.710 --> 00:20:57.750
probably doing something like this.

00:20:57.830 --> 00:20:59.990
I like to say that everything is trial and error.

00:21:00.070 --> 00:21:01.670
You just don't always see the error, right?

00:21:01.830 --> 00:21:05.510
So the trial and error can be over evolutionary time.

00:21:05.670 --> 00:21:08.150
So let's say we take our artifact psychology.

00:21:08.310 --> 00:21:12.790
There were alternate versions of our artifact psychology that were selected out.

00:21:12.950 --> 00:21:14.790
Um, so that's some trial and error.

00:21:14.870 --> 00:21:19.510
And then within an individual existing, so if David wants to build a better mousetra, that

00:21:19.510 --> 00:21:24.070
system, I mean, more precisely, it's not David is designing a mousetrap.

00:21:24.150 --> 00:21:29.200
I mean, you can say that, but precisely and more more precisely, there's a bunch of systems

00:21:29.200 --> 00:21:34.560
in David that are doing this generate, evaluate,

00:21:34.880 --> 00:21:40.080
select, refine process that eventually leads to David being like, oh, I have an idea.

00:21:40.320 --> 00:21:45.680
And so, yeah, so in that sense, um it's it's mechanism all the way down.

00:21:45.760 --> 00:21:51.520
And to sort of say, start off by saying, look, natural selection doesn't design anything

00:21:51.600 --> 00:21:56.410
because it's not an intelligence, and you need an intelligence to design something, it's

00:21:56.410 --> 00:22:02.010
sort of ironically it's using the mechanistic outcome to

00:22:02.490 --> 00:22:05.450
like sort of reject that it's all mechanistic in a way.

00:22:06.410 --> 00:22:08.010
Yeah, totally.

00:22:08.650 --> 00:22:14.090
So so I I would say, you know, I mean, Brett Beheim alluded to this, you know, the the

00:22:14.090 --> 00:22:18.570
synthesis between population genetics and the design in the organism.

00:22:18.650 --> 00:22:22.570
I mean, Lita alluded to this too, that what George Williams would was doing was saying,

00:22:22.730 --> 00:22:28.300
look, it's changes in gene frequencies and populations wedded to changes in

00:22:28.300 --> 00:22:32.700
organism design, those are the two things that are that are hooked up together.

00:22:33.100 --> 00:22:36.060
That's really the uh modern synthesis.

00:22:36.220 --> 00:22:39.260
In that sense, it it literally is design.

00:22:39.340 --> 00:22:42.460
And I think it's fine to talk about design.

00:22:42.620 --> 00:22:47.820
I think, I think maybe the kernel of truth, my thought is that if you say, well, there's

00:22:47.820 --> 00:22:51.970
design for fitness, and you say fitness teleology, right?

00:22:52.130 --> 00:22:53.170
This is Letus point.

00:22:53.330 --> 00:22:57.410
If I know I'm in an economic scheme and I know I'll never see David again again, I should

00:22:57.410 --> 00:22:58.370
sort of screw him over.

00:22:58.530 --> 00:23:04.450
Or if I know that uh, you know, pornography is not gonna lead me to differential

00:23:04.450 --> 00:23:08.530
to have like more babies, I shouldn't care about pornography because like I know.

00:23:08.770 --> 00:23:14.770
So the idea of there's sort of this um rationality that's sort of ideal and

00:23:14.770 --> 00:23:15.650
knows everything.

00:23:15.890 --> 00:23:16.130
Yeah.

00:23:16.370 --> 00:23:20.920
I mean, the other point to make is that using the design stance or the folk artifact

00:23:20.920 --> 00:23:25.160
system, whatever you want to call it, has been tremendously successful in biology.

00:23:25.320 --> 00:23:29.160
Like it it, you know, it's been said that nothing in biology makes sense except in light of

00:23:29.160 --> 00:23:29.560
evolution.

00:23:29.720 --> 00:23:33.000
I think you could also say that nothing in biology makes sense except in light of the

00:23:33.000 --> 00:23:33.800
design stance.

00:23:34.040 --> 00:23:39.960
You think about our knowledge of how the molecular machinery work, proteins, uh RNA DNA,

00:23:40.200 --> 00:23:42.650
all the different parts of our morphology.

00:23:42.810 --> 00:23:47.770
We have organs and within them cells and different molecular structures.

00:23:48.090 --> 00:23:52.970
If you just try to understand how parts of different animals work, how parts of the body

00:23:52.970 --> 00:23:58.330
work, you really cannot understand any of that without availing yourself of a design

00:23:58.330 --> 00:24:02.810
metaphor that this thing has this particular function, and that's why it's shaped this way,

00:24:02.890 --> 00:24:05.610
and that's why the process works this way and not some other way.

00:24:05.850 --> 00:24:10.320
This little mole piece of molecular machinery does this, this piece does that.

00:24:10.480 --> 00:24:14.800
Like it it's kind of inconceivable to even think about what biology would look like if we

00:24:14.800 --> 00:24:18.320
could not avail ourselves of functional design thinking.

00:24:18.480 --> 00:24:22.960
And so the argument would just be it's been so successful in biology in general.

00:24:23.120 --> 00:24:27.920
Uh, why don't we try to leverage that success and see how s successful it can be when we

00:24:27.920 --> 00:24:29.280
apply it to the mind?

00:24:30.150 --> 00:24:32.870
Yeah, and I think my point, uh, I agree with that.

00:24:32.950 --> 00:24:38.950
And I think my point is that the design stance, it's refracted through the constraints of

00:24:39.110 --> 00:24:40.710
it's not going to be a perfect system.

00:24:40.870 --> 00:24:44.150
It has to use cues that were available over evolutionary time.

00:24:44.470 --> 00:24:50.070
And it's not just uh an ideal design from the perspective of any any

00:24:50.230 --> 00:24:55.300
outcome that would be that would produce uh fitness benefits under any environmental

00:24:55.300 --> 00:24:57.460
circumstances would be selected for.

00:24:57.700 --> 00:25:00.020
And um yeah, I think I think that's right.

00:25:00.100 --> 00:25:03.700
But yeah, I I think the bottom line is that I think it's fine to talk about natural

00:25:03.700 --> 00:25:09.140
selection designing things as long as you understand that it's not a foolproof

00:25:09.460 --> 00:25:12.580
process that's literally driven by a person.

00:25:13.220 --> 00:25:19.170
And if you give them the information, um, like oh yeah this is a one shot

00:25:19.170 --> 00:25:24.130
encounter or in a modern environment this won't lead to fitness you know the mechanisms

00:25:24.290 --> 00:25:30.210
it's not real time fitness teleology it's just that there's a design that was designed for

00:25:30.210 --> 00:25:36.130
a particular set of environmental circumstances that's the design um and that's sort of

00:25:36.130 --> 00:25:41.730
fixed and you can't if you take the design out of a it's an evolutionary relevant

00:25:41.730 --> 00:25:44.660
context then you might get weird results.

00:25:44.980 --> 00:25:50.180
With if you keep that caveat of the notion of an EA, then I think it's fine to be design

00:25:50.260 --> 00:25:50.580
minded.

00:25:50.740 --> 00:25:55.700
If you don't do that, then yeah, I can see how being design minded would would mislead you.

00:25:56.260 --> 00:25:56.420
Right.

00:25:56.580 --> 00:26:00.820
So th there's a bad way to be design minded where you could say that the function of the

00:26:00.820 --> 00:26:02.820
mind is to maximize fitness.

00:26:03.060 --> 00:26:03.300
Yes.

00:26:03.540 --> 00:26:03.780
Right.

00:26:03.860 --> 00:26:08.020
We want the the reason why we have brains is just to figure out how we can have the most

00:26:08.020 --> 00:26:08.420
babies.

00:26:08.650 --> 00:26:08.810
Right.

00:26:09.290 --> 00:26:12.170
That would be a bad uh design stance.

00:26:12.570 --> 00:26:17.210
The right design stance is, well, yes, in some sense, minds are designed to maximize

00:26:17.210 --> 00:26:20.970
fitness, but within a very specific environment, that the environment is crucial.

00:26:21.130 --> 00:26:27.050
And so once you recognize that our minds are designed to promote fitness in a very specific

00:26:27.050 --> 00:26:32.980
set of ancestral environments and ecologies, then you have the right design

00:26:32.980 --> 00:26:36.740
stance and you can begin to make predictions about how the mind works that make sense.

00:26:36.980 --> 00:26:41.940
But if you strip away the environment and the and the ecology and you just use your design

00:26:41.940 --> 00:26:45.940
stance to think about what a fitness maximizing computer would do, you're just going to go

00:26:45.940 --> 00:26:46.500
astray.

00:26:46.580 --> 00:26:51.700
Uh and so I think another piece of the design stance is it has to be ecology and

00:26:51.700 --> 00:26:52.820
environment focused.

00:26:53.060 --> 00:26:53.220
Yeah.

00:26:53.620 --> 00:26:58.340
And without an understanding of of of the environment in which the phenotype was selected,

00:26:58.420 --> 00:26:59.940
you have no understanding of the phenotype.

00:27:00.330 --> 00:27:00.810
Yeah, that's right.

00:27:00.890 --> 00:27:05.450
And I think the environment and ecology go together with actually being design minded

00:27:05.530 --> 00:27:10.890
because if you say people are designed to maximize their fitness and you understand that it

00:27:10.890 --> 00:27:14.970
sounds like you're saying a design stance thing, but if you if you think of it from an uh

00:27:14.970 --> 00:27:18.970
intentional theory mind level, then you just say people are motivated to maximize their

00:27:18.970 --> 00:27:19.610
fitness.

00:27:19.850 --> 00:27:23.930
And so whether or not it incurred in an ancestral environment or not, you just sort of say,

00:27:24.010 --> 00:27:28.140
well, people look around and look at what maximizes their fitness, and they just do it.

00:27:28.460 --> 00:27:34.380
So I think a lot of misunderstanding happens where people think they're talking at a

00:27:34.380 --> 00:27:38.300
design level stance, and they're saying, look, there's a system that's for maximizing

00:27:38.300 --> 00:27:38.780
fitness.

00:27:38.940 --> 00:27:43.340
But all they're really doing is they're just that's the agent who has an intention or a

00:27:43.340 --> 00:27:45.340
goal to maximize their fitness.

00:27:45.870 --> 00:27:50.990
The way you know if somebody's being design minded is you're forced to have

00:27:51.630 --> 00:27:57.630
deterministic cues where the cues are what are the inputs, what are the processes,

00:27:57.790 --> 00:28:01.390
what are the outputs, and these things are are mechanistic or deterministic.

00:28:01.550 --> 00:28:07.550
That's even if you take an ancestral versus modern perspective, if you're

00:28:07.550 --> 00:28:13.420
actually just using your theory mind, the theory of mind system might still lead you to

00:28:13.420 --> 00:28:16.620
think, well, it was ancestrally good to be maximize your fitness.

00:28:16.700 --> 00:28:18.300
Let's do it in modern environments too.

00:28:18.380 --> 00:28:18.620
Yeah.

00:28:18.940 --> 00:28:19.260
Right.

00:28:19.500 --> 00:28:20.460
And it's important.

00:28:20.540 --> 00:28:22.300
I mean, a lot of people get tripped up on this.

00:28:22.540 --> 00:28:28.060
They think that um the mind is is for maximizing fitness and that we're calculating, you

00:28:28.060 --> 00:28:32.860
know, the how many babies we can make if we if we take option A versus option B.

00:28:33.180 --> 00:28:33.580
So yeah.

00:28:33.660 --> 00:28:38.630
So I think design, as long as you know it's not a person doing it, it's fine to talk about

00:28:38.630 --> 00:28:40.710
it in the context of natural selection.

00:28:41.910 --> 00:28:42.390
For sure.

00:28:42.710 --> 00:28:47.350
Should we talk about bad ways to do design thinking?

00:28:47.510 --> 00:28:53.190
So we already talked about one, which is fitness teleology, the idea that the mind is

00:28:53.190 --> 00:28:57.510
designed to maximize fitness independent of what the environment is and what the

00:28:57.510 --> 00:28:58.390
constraints are.

00:28:58.550 --> 00:29:04.280
Uh are there other bad ways that this way of thinking has

00:29:04.280 --> 00:29:04.680
gone?

00:29:05.400 --> 00:29:10.600
I mean, I think I think one of them is sort of an oversimplification, uh short-term versus

00:29:10.600 --> 00:29:16.520
long-term meeting, or like genetic quality, um, things like that, where there's this idea

00:29:16.520 --> 00:29:22.520
that um there's an essence of there's a design looking for something like genetic quality,

00:29:23.160 --> 00:29:26.920
and not thinking about, well, that has to be a Q-based system.

00:29:27.080 --> 00:29:29.310
What does genetic quality mean?

00:29:29.390 --> 00:29:35.390
Well, it would be things like, well, there's variation in uh how injured or prone

00:29:35.390 --> 00:29:39.630
to disease an organism is, and what cues would those be?

00:29:39.870 --> 00:29:45.790
And that doesn't necessarily mean genes per se, but it's just cues of like on the

00:29:45.790 --> 00:29:50.270
ground, which robots are in better condition versus others, you know, and that and that

00:29:50.270 --> 00:29:52.510
changes the way you sort of start thinking about it.

00:29:52.590 --> 00:29:58.040
And leaving it at the level of genetic quality, I think essentializes it sort of conflates

00:29:58.120 --> 00:30:00.120
selection pressures with the design.

00:30:00.360 --> 00:30:06.360
And it sort of leads to shorthands that I think lead one not to look into, well, what is

00:30:06.360 --> 00:30:08.040
the exact design?

00:30:08.200 --> 00:30:10.440
I think short-term and long-term mating is another one.

00:30:10.600 --> 00:30:15.080
Well, you could invest a little bit in a lot of offspring or a lot in a few offspring.

00:30:15.240 --> 00:30:18.520
And so maybe males are more designed for short-term mating.

00:30:18.690 --> 00:30:22.290
And then you just get this idea of, well, well, let's just look at short-term mating versus

00:30:22.290 --> 00:30:23.970
long-term mating motivations, which is fine.

00:30:24.050 --> 00:30:29.570
And, you know, like that's that's data and that's maybe an insight compared to what existed

00:30:29.570 --> 00:30:30.210
before.

00:30:30.450 --> 00:30:36.130
But then work through the logic of, okay, so I'm a male and I have a short-term mating

00:30:36.130 --> 00:30:36.770
preference.

00:30:36.930 --> 00:30:39.730
How does that play out in a real world ecology?

00:30:40.210 --> 00:30:45.100
Do I do differentially better if you're investing in your offspring social political

00:30:45.100 --> 00:30:46.060
capital, and I'm not.

00:30:46.140 --> 00:30:50.860
So like Brooke Shelza and that and uh the other people we've talked to have sort of argued

00:30:50.860 --> 00:30:56.620
that um there's a lot more to investing in the offspring than just uh conception, and uh

00:30:56.700 --> 00:30:57.900
as as people put it.

00:30:58.060 --> 00:31:04.060
And so I think thinking about selection pressures or mechanisms in these slogan y ways

00:31:04.140 --> 00:31:10.140
of like short-term, long-term, or good genes, it's a shorthand that prevents people

00:31:10.140 --> 00:31:11.980
from actually fleshing out the design.

00:31:12.060 --> 00:31:18.010
And I think it leads to just a cottage industry of studies that in some

00:31:18.010 --> 00:31:23.930
way resemble or sound like they're consistent with that slogan, but it's

00:31:23.930 --> 00:31:29.850
not fleshing out a design or even asking what would the design look like given

00:31:29.850 --> 00:31:33.690
that it has to naturally evolve in a real environment.

00:31:34.900 --> 00:31:35.140
Right.

00:31:35.380 --> 00:31:41.220
I guess the pitfall there is not thinking of the design in terms of the ecology

00:31:41.300 --> 00:31:47.060
again, where um the mind is by design an organ that uh

00:31:47.700 --> 00:31:53.220
processes information from the ecology and uses that information to guide

00:31:53.220 --> 00:31:54.100
behavior.

00:31:54.420 --> 00:31:55.860
That's why we have a mind.

00:31:55.940 --> 00:32:01.540
It it's it it processes information, it makes behavior contingent on that information.

00:32:01.780 --> 00:32:05.810
I think probably where people are going wrong is that they're sort of viewing the mind as

00:32:05.810 --> 00:32:07.250
analogous to any other organ.

00:32:07.410 --> 00:32:13.010
So like a liver just detoxifies poisons from the blood and it doesn't it doesn't do that

00:32:13.010 --> 00:32:16.290
conditional on some kind of environmental uh information.

00:32:16.370 --> 00:32:17.730
It just it just naturally does that.

00:32:17.890 --> 00:32:19.730
The heart just pumps blood throughout the body.

00:32:19.890 --> 00:32:25.890
It doesn't do that conditional on, you know, uh whether your uh mate is flirting

00:32:25.890 --> 00:32:26.530
with someone else.

00:32:26.690 --> 00:32:28.370
It just always pumps blood throughout the body.

00:32:28.450 --> 00:32:31.640
It's not con contingent on anything in the environment.

00:32:31.720 --> 00:32:34.120
The same thing goes with the lungs, any other part of the body.

00:32:34.200 --> 00:32:36.840
These are not information contingent adaptations.

00:32:37.080 --> 00:32:39.400
Their job is to do one thing and they do that thing.

00:32:39.960 --> 00:32:41.320
You could quibble with that.

00:32:41.400 --> 00:32:45.480
Maybe in some sense, some organs are contingent on some types of information, but the

00:32:45.480 --> 00:32:48.920
degree of contingency is way lower than it is in the brain, which is that's that's the

00:32:48.920 --> 00:32:50.120
whole reason why it's there.

00:32:50.280 --> 00:32:55.240
You know, we have these elaborate sense organs to pick up information from the environment

00:32:55.370 --> 00:32:59.530
and use it to guide behavior, our other organs of the body don't have sense organs, or at

00:32:59.530 --> 00:33:03.770
least not ones that are as elaborate uh as our eyes and ears.

00:33:04.010 --> 00:33:08.650
And so I think when people do kind of lazy theorizing, like, oh, men just they want to

00:33:08.650 --> 00:33:13.210
pursue short-term mating in the same way that the heart pumps blood, and they just do that

00:33:13.290 --> 00:33:15.930
that's it that's not in any way contingent on anything in the environment.

00:33:16.010 --> 00:33:17.130
That's just what that's what men do.

00:33:17.210 --> 00:33:21.930
They they pursue short-term mating and the heart pumps blood and and and it's uh sort of

00:33:22.500 --> 00:33:27.460
devoid of any kind of e ecological thinking that I think is necessary for the design

00:33:27.460 --> 00:33:27.860
stance.

00:33:28.180 --> 00:33:30.100
That might be where where people are going wrong there.

00:33:30.420 --> 00:33:30.740
Yeah.

00:33:31.060 --> 00:33:32.100
Yeah, I like that a lot.

00:33:32.180 --> 00:33:32.580
Yeah, yeah.

00:33:32.740 --> 00:33:37.220
I think it also it comes back to like Lita's point of like it's a depth psychology where

00:33:37.220 --> 00:33:42.580
it's if you take an intentional perspective, it's people really are motivated because they

00:33:42.580 --> 00:33:44.660
want to maximize their genetic interest.

00:33:44.900 --> 00:33:47.220
You know, that's the real reason why they're doing something.

00:33:47.300 --> 00:33:53.150
And so that's why it's deflationary to talk about genes when we're talking about falling

00:33:53.150 --> 00:33:58.270
in love or caring about your children or caring about social partners and being altruistic.

00:33:58.430 --> 00:34:03.390
If you view those as opposed, I think that's a good mark that you're probably operating at

00:34:03.390 --> 00:34:04.350
the wrong level.

00:34:04.430 --> 00:34:10.110
Um, and you're understanding genes in design, not at the level of design, but

00:34:10.350 --> 00:34:14.670
but at the intentional level, such that there's some rivalry between the two.

00:34:15.380 --> 00:34:15.620
Right.

00:34:15.780 --> 00:34:20.100
And I think it gets you greater purchase on the variation that does exist across cultures

00:34:20.100 --> 00:34:21.620
and between individuals.

00:34:21.940 --> 00:34:26.900
If you focus your analysis on how the mind is interacting with the environment to produce

00:34:26.900 --> 00:34:30.900
the behavior and what kinds of information it's using from the environment to adjust

00:34:30.900 --> 00:34:31.620
behavior.

00:34:32.740 --> 00:34:37.540
For example, if you if you ignore that, then you might predict just uh naively more

00:34:37.540 --> 00:34:41.460
universality than in fact exists among people.

00:34:41.990 --> 00:34:46.150
Whereas if you view the mind as an organ that is designed to pick up information from the

00:34:46.150 --> 00:34:50.470
environment and strategically use it, then you would predict a lot of variation insofar as

00:34:50.470 --> 00:34:53.990
there's variation in different environments, different affordances, different constraints,

00:34:54.150 --> 00:34:55.590
different ecologies, et cetera.

00:34:55.910 --> 00:34:56.550
Yeah, that's right.

00:34:56.630 --> 00:35:02.630
And I think, you know, the uh the the sort of trope that um evolutionary psychologists

00:35:02.630 --> 00:35:04.710
don't study cross-cultural differences.

00:35:05.360 --> 00:35:10.560
I'm of two minds with that, because on the one hand, like a lot of theorizing is based on

00:35:10.560 --> 00:35:14.080
weird populations, and that's you know, that is a problem.

00:35:14.320 --> 00:35:18.080
I mean, that said, a weird population is still a human being, right?

00:35:18.160 --> 00:35:21.680
Um and it's easy to sort of poo-poo that.

00:35:21.840 --> 00:35:27.430
But on the other hand, the kernel of truth is that if you're taking the design stance,

00:35:27.590 --> 00:35:33.590
cross-cultural variation or no cultural being a default is useful if you're taking

00:35:33.590 --> 00:35:38.950
the design stance because exactly as you said, all the variation and outcomes tell you

00:35:38.950 --> 00:35:40.790
about the underlying design, right?

00:35:41.030 --> 00:35:46.310
Um, but if you're if you're sort of not operating at the design stance, then you sort of

00:35:46.310 --> 00:35:50.630
have this idea well, like there's some outcome that's evolved or genetic or innate.

00:35:50.710 --> 00:35:52.840
Like, is theory of mind innate.

00:35:53.000 --> 00:35:55.000
Well, theory of mind has to be universal.

00:35:55.160 --> 00:36:00.200
So looking at universals, um, it could there's a good smart way to do it, and there's sort

00:36:00.200 --> 00:36:01.080
of a dumb way to do it.

00:36:01.160 --> 00:36:05.800
The smart way, I mean, dumb is too strong, but the smart way is to say these are all

00:36:05.800 --> 00:36:08.520
outcomes that are diagnostic of design.

00:36:09.080 --> 00:36:14.760
Um, or the attempt to describe universals is getting at a level of abstraction that

00:36:14.760 --> 00:36:16.360
isn't just outcomes.

00:36:17.270 --> 00:36:23.030
But the other version is to say, do men always prefer sexual

00:36:23.030 --> 00:36:24.390
variety over women?

00:36:24.630 --> 00:36:29.030
What I think we're kind of describing as sort of fast and loose design stance that might

00:36:29.030 --> 00:36:30.710
not even be design stance thinking.

00:36:31.190 --> 00:36:31.430
Yeah.

00:36:31.910 --> 00:36:37.430
Another way to think of it is that uh the universality is what produces the variation.

00:36:38.160 --> 00:36:38.480
right?

00:36:38.960 --> 00:36:43.120
We have a universal design that responds strategically to certain types of information that

00:36:43.120 --> 00:36:44.720
vary across different ecologies.

00:36:44.880 --> 00:36:48.960
And insofar as that information varies across ecologies, you're going to see different

00:36:48.960 --> 00:36:50.560
outcomes across ecologies.

00:36:52.000 --> 00:36:54.000
But what is universal is not the output.

00:36:54.080 --> 00:36:55.600
The output is going to change.

00:36:55.840 --> 00:37:01.200
What's universal is the information processing structure that responds to that information.

00:37:01.410 --> 00:37:03.330
Uh, and that and that's the important part.

00:37:03.490 --> 00:37:06.690
That's that's the the human nature that that we're interested in as evolutionary

00:37:06.690 --> 00:37:07.250
psychologists.

00:37:07.410 --> 00:37:11.170
Not necessarily the stuff that is the same across cultures, although that's that's part of

00:37:11.170 --> 00:37:12.930
it and that gives you some clues.

00:37:13.090 --> 00:37:16.770
Uh what we're interested in is, you know, what is that machinery doing?

00:37:17.010 --> 00:37:21.810
Uh and you would expect a machine, a really complicated machine, to produce different

00:37:21.810 --> 00:37:23.890
outputs in response to different situations.

00:37:24.050 --> 00:37:29.880
And that is indeed why the brain exists is to, you know, produce uh adaptive behavior in

00:37:30.040 --> 00:37:34.840
in response to particular situations and contexts and ecologies.

00:37:35.160 --> 00:37:40.360
Yeah, I I don't think you can overestimate how much misunderstanding evolutionary

00:37:40.360 --> 00:37:46.280
psychology is understanding the words and concepts through the lens of just

00:37:46.280 --> 00:37:47.320
the intentional level.

00:37:47.480 --> 00:37:52.920
So if you have this idea that uh evolutionary psychologists are interested in genes and

00:37:52.920 --> 00:37:57.130
universals, and you understand that from the intentional level, then you would think that

00:37:57.130 --> 00:38:01.530
people's underlying motivations are genes, not the surface level things.

00:38:01.690 --> 00:38:05.370
So it's this depth psychology, as Lita talked about, and thus you get all this stuff of

00:38:05.370 --> 00:38:08.330
like, well, people are they really altruistic, or is it just their genes?

00:38:08.410 --> 00:38:10.890
Or do people really love their family or not?

00:38:11.050 --> 00:38:12.010
Or is it just their genes?

00:38:12.090 --> 00:38:14.250
Or do you really care about other people or is it just your genes?

00:38:14.410 --> 00:38:17.500
That's the wrong way to think about it, because it's in opposition.

00:38:17.740 --> 00:38:22.540
The other one is if it's universal, if if what evolutionary psychologists think is

00:38:22.540 --> 00:38:28.140
universal is just sort of the desires and beliefs of of people, then everywhere people

00:38:28.140 --> 00:38:31.820
should believe the same thing, desire the same thing, act the same way.

00:38:31.900 --> 00:38:33.180
Um I don't think that's true.

00:38:33.260 --> 00:38:35.500
So evolutionary psychology is clearly wrong.

00:38:35.660 --> 00:38:39.020
Um and that's not what evolutionary psychologists say, but I think again, that's like a

00:38:39.020 --> 00:38:43.180
symptom of taking the design not taking the design stance, which is a weird way to think.

00:38:43.330 --> 00:38:48.130
And but I think the the defaults of taking the intentional theory of mind approach to

00:38:48.130 --> 00:38:53.970
psychology, that's that is sort of well, most of the misunderstandings of evolutionary

00:38:53.970 --> 00:38:58.850
psychology, I think, are a consequence of treating it from that perspective and

00:38:58.850 --> 00:39:00.850
misunderstanding it from that perspective.

00:39:01.250 --> 00:39:01.410
Right.

00:39:01.810 --> 00:39:05.890
I I think there is a defensible version of that, which is that you can say that human

00:39:05.890 --> 00:39:08.120
motivations are are universal.

00:39:08.280 --> 00:39:12.440
Like every human wants physical safety and health, and, you know, they they want their

00:39:12.440 --> 00:39:18.200
offspring to be safe and well fed, and they want status and support and

00:39:18.280 --> 00:39:20.360
uh coalitional strength.

00:39:20.440 --> 00:39:24.840
You know, yeah, I think there's a defensible reading of that, which is that, you know, the

00:39:24.840 --> 00:39:29.110
underlying things we're striving for and we evolved to strive for the the things that

00:39:29.110 --> 00:39:35.030
natural selection picked up on as fitness proxies to strive for, those things

00:39:35.030 --> 00:39:35.990
are universal.

00:39:36.310 --> 00:39:42.150
But the strategies that people pursue to to get those fitness proxies, to get those those

00:39:42.150 --> 00:39:45.590
goals, those motivations, are going to be different from place to place.

00:39:45.670 --> 00:39:50.310
You know, just the simplest possible example, you know, every human everywhere has fear of

00:39:50.310 --> 00:39:52.630
being in in physical danger, right?

00:39:52.710 --> 00:39:57.430
And there are systems in the mind that monitor the environment for signs of physical

00:39:57.430 --> 00:39:57.830
danger.

00:39:58.020 --> 00:40:01.300
And you could say that, you know, that is a universal part of human nature.

00:40:01.460 --> 00:40:05.540
But what is dangerous in one place is going to be very different from what is dangerous in

00:40:05.540 --> 00:40:06.260
a different place.

00:40:06.500 --> 00:40:10.100
You might have snakes in one place and not in another place, you know, poisonous spiders in

00:40:10.100 --> 00:40:11.300
one place and not in another place.

00:40:11.540 --> 00:40:16.820
You might have warfare that is intense and ubiquitous in one place and not so intense and

00:40:16.820 --> 00:40:18.820
ubiquitous in another place.

00:40:19.220 --> 00:40:24.290
So just because the underlying fear system is the same across humans doesn't mean that the

00:40:24.290 --> 00:40:28.930
outputs of that fear system and the strategies that people take to pursue the goal of

00:40:28.930 --> 00:40:30.370
safety are going to be the same.

00:40:30.530 --> 00:40:31.410
They're going to be very different.

00:40:31.810 --> 00:40:32.690
Totally agree, David.

00:40:32.770 --> 00:40:34.770
David, maybe should we just end here?

00:40:35.410 --> 00:40:35.970
That's fine.

00:40:36.130 --> 00:40:37.090
I think this is good.

00:40:37.330 --> 00:40:41.330
Um we'll we'll uh we'll end here and we'll see everybody next week.

00:40:41.650 --> 00:40:42.530
All right, sounds good.

00:40:42.770 --> 00:40:43.090
Okay.

00:40:44.220 --> 00:40:45.260
Hey everybody.

00:40:45.500 --> 00:40:49.660
Uh we're doing provisional recording, so thanks for bearing with our abrupt ending.

00:40:49.740 --> 00:40:55.420
Uh on our way out here we'll hear from Greg Bryant, who we ran into at HBS in Robot

00:40:55.500 --> 00:40:56.380
Morocco as well.

00:40:56.540 --> 00:40:57.820
Thanks everybody for listening.

00:40:57.980 --> 00:40:59.260
We'll see you next week.

00:40:59.980 --> 00:41:00.940
Here maybe I'll get on this side.

00:41:01.100 --> 00:41:02.140
Yeah, because David, you have to say something.

00:41:03.180 --> 00:41:04.700
So David Oh okay.

00:41:04.850 --> 00:41:06.050
Uh how's it going, Greg?

00:41:06.290 --> 00:41:06.930
I'm doing well.

00:41:07.090 --> 00:41:08.370
Yeah, did you have a good HPAS?

00:41:08.530 --> 00:41:10.690
Yeah, both both conference both conferences were good.

00:41:11.010 --> 00:41:12.530
Yeah, oh you went to CES and HPS.

00:41:12.610 --> 00:41:13.490
Yeah, I did the whole spiel.

00:41:13.650 --> 00:41:14.290
Oh wow, okay.

00:41:14.370 --> 00:41:15.170
Which one was better?

00:41:16.450 --> 00:41:17.090
No way, man.

00:41:17.330 --> 00:41:17.650
No way.

00:41:17.810 --> 00:41:18.770
You're not touching that one.

00:41:18.850 --> 00:41:19.410
Nope.

00:41:19.650 --> 00:41:21.010
Um, I like them both, you know.

00:41:21.090 --> 00:41:26.400
Uh actually it's been inspiring me to think about what kinds of factors would um

00:41:26.720 --> 00:41:31.280
cause the divisions we see and what kinds of things could we do to increase the um

00:41:31.680 --> 00:41:32.720
community overall.

00:41:33.040 --> 00:41:33.360
For sure.

00:41:33.600 --> 00:41:37.680
And um I'm thinking about that right now and I think people need to write about it and

00:41:37.680 --> 00:41:38.400
think about it.

00:41:38.720 --> 00:41:39.440
Totally agree.

00:41:39.520 --> 00:41:43.520
Yeah I think that was a common theme I saw here at at HBES at least.

00:41:43.680 --> 00:41:48.880
I didn't go to CDS, but uh the desire to have greater unification uh within the

00:41:48.880 --> 00:41:50.000
evolutionary social sciences.

00:41:50.400 --> 00:41:50.800
Absolutely.

00:41:50.880 --> 00:41:56.010
Yeah yeah I mean the old version of HBES included um all these different people.

00:41:56.170 --> 00:41:56.570
Yeah.

00:41:56.730 --> 00:42:02.330
And now, you know, the community's fracturing a little bit for reasons that are good too

00:42:02.490 --> 00:42:07.130
because people are specializing, but I think we need to figure out how to come together as

00:42:07.130 --> 00:42:13.050
evolutionary behavioral science or behavioral scientists and uh and see

00:42:13.050 --> 00:42:17.530
each the value in each other's work and then recognize where there may be empirical

00:42:17.530 --> 00:42:19.050
differences that are resolvable.

00:42:19.300 --> 00:42:19.700
Yeah.

00:42:19.940 --> 00:42:23.860
It was really great they were able to do like organize the two back to back too.

00:42:24.340 --> 00:42:30.100
Yeah, I mean like uh Clark mentioned, uh that was a uh difficult uh thing to get

00:42:30.100 --> 00:42:30.420
going.

00:42:30.900 --> 00:42:34.900
But um hopefully people appreciated that and then you can do it again.

00:42:35.140 --> 00:42:35.380
Yeah.

00:42:35.540 --> 00:42:35.940
Yeah.

00:42:36.180 --> 00:42:42.100
Uh any uh any big any takeaway findings, talks, things that stuck with you from

00:42:42.100 --> 00:42:42.980
the conference?

00:42:43.220 --> 00:42:44.500
Oh, that's a tough one.

00:42:44.980 --> 00:42:46.770
Um what did you talk about?

00:42:46.850 --> 00:42:47.490
Either any of that?

00:42:47.730 --> 00:42:49.970
Yeah, yeah, what your talk could be your favorite talk.

00:42:50.290 --> 00:42:50.450
Exactly.

00:42:50.530 --> 00:42:50.930
That was definitely.

00:42:51.410 --> 00:42:52.210
I saw Greg's talk.

00:42:52.290 --> 00:42:52.690
It was very good.

00:42:52.850 --> 00:42:54.690
It was about laughter.

00:42:55.250 --> 00:43:01.250
You want to give the Yeah, well I'm um I just talked about um just kind of an

00:43:01.250 --> 00:43:07.170
incremental um uh finding in my own research program that was in

00:43:07.170 --> 00:43:11.860
collaboration with the folks I work with at the Bioacoustics Research Lab in France looking

00:43:11.860 --> 00:43:16.180
at um how volitional laughter functions as an effective signal and there aren't really

00:43:16.180 --> 00:43:20.740
laugh types that are associated with different meanings but instead laughter works on the

00:43:20.740 --> 00:43:25.860
dimension of valence in particular that allows people to communicate different kinds of uh

00:43:25.860 --> 00:43:27.940
meanings in their discourse.

00:43:28.260 --> 00:43:34.210
So like a evil laugh versus a happy laugh or well that those were two of the eight

00:43:34.450 --> 00:43:40.290
contexts we looked at and evil laugh which doesn't really happen in normal um

00:43:40.610 --> 00:43:41.170
conversation.

00:43:43.010 --> 00:43:48.770
Yeah it was kind of we included that to really see how a real category that we know exists

00:43:48.930 --> 00:43:51.330
how that would manifest in the data.

00:43:51.490 --> 00:43:51.730
Uh-huh.

00:43:51.890 --> 00:43:55.010
Um and that one was the only category that was highly recognizable.

00:43:56.380 --> 00:44:02.300
But yeah, it's uh just trying to figure out the puzzle of how nonverbal um vocalizations

00:44:02.460 --> 00:44:05.820
are you know perceived and what the acoustic features are.

00:44:06.300 --> 00:44:12.060
Do whales laugh not that I know of but I'm assuming they have play vocalizations of some

00:44:12.060 --> 00:44:12.300
sort.

00:44:12.540 --> 00:44:12.860
Right.

00:44:13.100 --> 00:44:14.540
Or play signals.

00:44:15.020 --> 00:44:15.180
Yeah.

00:44:15.650 --> 00:44:16.210
That makes sense.

00:44:16.690 --> 00:44:21.250
Yeah, but pro probably probably it wouldn't be how a how to cocoa has got me thinking about

00:44:21.250 --> 00:44:21.490
whales.

00:44:21.890 --> 00:44:21.970
Yeah.

00:44:22.130 --> 00:44:22.530
Yeah, no.

00:44:23.490 --> 00:44:23.890
Yeah, no.

00:44:24.050 --> 00:44:25.250
I would bet they'd have a place signal.

00:44:25.410 --> 00:44:30.130
But the odds of it being uh that there being convergence evolution toward the lap in

00:44:30.130 --> 00:44:32.610
particular is a place signal seems unlikely.

00:44:33.170 --> 00:44:33.570
Definitely.

00:44:33.730 --> 00:44:33.810
Yeah.

00:44:34.050 --> 00:44:34.210
Yeah.

00:44:34.370 --> 00:44:39.170
But I mean it th there could be some place signal that is um sort of appears within the

00:44:39.170 --> 00:44:40.690
repertoire that they already have.

00:44:40.850 --> 00:44:41.010
Yeah.

00:44:41.250 --> 00:44:44.700
Or it co evolves with their own localizations Yeah.

00:44:44.780 --> 00:44:48.300
Yeah, it would be cool to see if there's a particular vocal signature that happens at the

00:44:48.300 --> 00:44:49.660
onset of play behavior.

00:44:50.140 --> 00:44:50.540
Yeah.

00:44:50.780 --> 00:44:51.180
Yeah.

00:44:51.340 --> 00:44:53.340
Uh they probably have visual signals as well.

00:44:53.420 --> 00:44:54.220
I don't yeah, yeah.

00:44:54.300 --> 00:44:56.140
I don't know about whale play, have to say.

00:44:56.300 --> 00:44:56.780
Yeah.

00:44:57.100 --> 00:44:58.140
A little hard to measure.

00:45:01.420 --> 00:45:01.580
Yeah.

00:45:01.820 --> 00:45:03.100
Yeah, I don't want to dominate the podcast.

00:45:03.660 --> 00:45:04.490
No no, that's great, Frank.

00:45:04.650 --> 00:45:05.050
Thank you so much.

00:45:05.210 --> 00:45:05.610
Good to see you.

00:45:09.370 --> 00:45:09.930
Awesome.

00:45:10.890 --> 00:45:12.250
Yeah, two whales left.
