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The Uncomfortable Science Of Sex Differences - Steve Stewart-Williams

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The Uncomfortable Science Of Sex Differences - Steve Stewart-Williams

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5112 segments

0:00

Do you think that you could have

0:01

published this book 6 years ago?

0:03

>> I think that I could have, but it would

0:04

have been a less wise move.

0:06

>> [laughter]

0:06

>> I think it would have gone down

0:09

a lot worse 6 years ago. Things have

0:11

kind of cooled off a little bit, I

0:12

think.

0:12

>> Why is talking about sex differences so

0:15

controversial?

0:16

>> Well, it's a good question, and I think

0:18

that it's a few things. I mean,

0:19

sometimes it surprises me cuz sometimes

0:21

I think a lot of the differences that

0:23

we're talking about, they're really

0:24

quite modest differences. Um they are

0:27

often differences in preferences rather

0:29

than cognitive abilities. So, they're

0:31

kind of neutral as far as I'm concerned.

0:33

Um and if anything, I think probably

0:34

they put men in a worse light than

0:36

women. Um so, sometimes it surprises me,

0:39

but I think really the main reason is a

0:42

long history of sexism against women.

0:45

And I think that we've got quite a long

0:48

science as well has a bit of a sorted

0:50

history in terms of how we've spoken

0:52

about women, especially in the 1800s.

0:54

I've got a quote, one of my favorite

0:55

quotes, one of my favorite examples of

0:57

this is from um

0:59

scientist by the name of Gustave Le Bon,

1:01

and he he wrote that

1:03

uh sure, there are some women who are as

1:06

intellectually accomplished as your

1:07

typical man, but they're about as rare

1:10

as a as a two-headed gorilla. And so,

1:12

therefore, we don't really need to think

1:13

about think about [clears throat] them.

1:15

Um so, with stuff like that in our

1:17

background, it's I guess not surprising

1:19

that people are a little bit a little

1:20

bit nervous about talking about evolved

1:22

sex differences, a little bit worried

1:24

that if we start doing that, it's going

1:25

to open the door to that kind of

1:27

that kind of sexism. Um I think they're

1:29

wrong to worry about that. I think that

1:31

really the science of sex differences

1:33

has disproved those kind of ideas. Um

1:37

and I think I think as well that we can

1:38

treat men and women respectfully and uh

1:42

and as you mainly and treat them well uh

1:45

even if men and women are not identical

1:47

on average on every single trait.

1:49

>> Yeah, I suppose

1:51

the history of science is to sex

1:53

differences what the Nazi Party is to

1:56

behavioral genetics.

1:57

>> Right. Right. Exactly. Yeah.

1:59

Yeah. And I do think that science is the

2:02

solution to the early sexism rather than

2:04

a continuation of it.

2:05

>> Yeah, that's a great way to put it. All

2:07

right. Why is it important to study sex

2:09

differences then? Why why should anybody

2:10

care?

2:11

>> Uh I think lots of reasons. The main

2:13

reason for me is I think it's just

2:14

deeply deeply fascinating. I just think

2:16

it's

2:17

>> It's the [laughter] best. Yeah. It's the

2:18

It's the best, dude. Me and you fell in

2:20

love with the same book, The Moral

2:21

Animal by Robert Wright. He He changed

2:23

my life.

2:23

>> Yeah, likewise. It changed my life. It

2:25

um shaped the rest of my career. Um just

2:28

I think it's deeply fascinating. And um

2:32

Yeah, I remember when I read that book

2:33

uh that's when I fell in love with uh

2:36

fell fell in love with evolutionary

2:37

psychology. And in particular, fell in

2:39

love with the evolutionary psychology of

2:41

sex differences. And I got the same

2:42

feeling that I did when I was a a kid

2:44

and I first understood how the phases of

2:46

the moon work. And everything just

2:48

clicked into place. Suddenly, the whole

2:49

thing made sense.

2:50

>> Oh, that is why it looks that way. That

2:53

is why people are different in that way.

2:56

>> Exactly. Exactly. It all made sense. It

2:57

was clear that it was true. And uh yeah,

3:00

just uh sort of instant insight. And uh

3:03

yeah.

3:04

>> Interesting. Even as you're saying it, I

3:05

can hear this sort of

3:08

critic preparedness inside of my mind

3:12

going

3:13

"Why would you when you read a book Why

3:15

would both of us when we read a book be

3:17

so enamored by sex differences dot dot

3:19

dot That must be because you are

3:22

secretly a sexist who is looking to try

3:24

and keep people in their place and not

3:26

ever have any progress and da da da da

3:27

da You know what I mean?" Like the

3:29

conversation around this has become so

3:31

tarnished. Um that

3:33

>> Accusatory.

3:34

>> Yes. Yes. Yeah. That you can't have an

3:36

interest in something which is

3:38

fundamental and fascinating and really

3:40

important, right? So that you don't try

3:42

and

3:43

people aren't trying to fight against

3:45

something so that we don't fully account

3:47

for and understand why behavior unfolds

3:50

in particular ways that can allow us to

3:51

have a better society, a society that's

3:53

got outcomes that's more close to what

3:56

we want. Fascinating.

3:57

>> Yeah, it is. Um yeah, so I do

4:01

I agree with that and I think

4:03

uh yeah.

4:05

Sorry, I just

4:07

uh I just went blank. What was What was

4:08

I going to say about that?

4:09

>> No, no, no. Uh just why is it important

4:10

to study sex?

4:11

>> Oh, yeah, why is it important? Yeah, so

4:12

that is that points to another reason.

4:13

So, one big reason why it's important is

4:15

just the fact that it's fun uh

4:16

fascinating.

4:17

Um but I think also that like you say,

4:19

it is important in terms of steering

4:21

society in an positive directions.

4:23

And uh underst- understanding ourselves,

4:26

uh understanding interactions between

4:28

men and women. Um in terms of yeah,

4:31

trying to keep people in their place and

4:32

the like. That's certainly not the

4:33

philosophy that I come away with um from

4:35

having studied all this over the years.

4:37

Um I instead of it, my basic philosophy,

4:40

I think I can summarize in just four

4:42

words. And those words would be, let

4:44

people be themselves.

4:46

Uh so, if they if they fit with

4:48

traditional

4:49

uh gender roles and expectations, that's

4:52

great. Uh but if they don't, that's

4:55

great as well. It doesn't matter. The

4:56

fact that something has evolutionary

4:57

origin doesn't necessarily mean that

4:59

it's good.

5:00

Uh it doesn't necessarily mean that it's

5:01

bad, either. I think that it's it's

5:03

morally neutral and that it's up to us

5:05

to decide whether it's good or bad or

5:07

somewhere in between.

5:08

>> I think that's a big fear that people

5:09

have that by looking at the evolutionary

5:13

explanation for why certain traits show

5:15

up the way that they do, why certain

5:16

differences occur the way that they do,

5:18

it sounds like you're excusing away that

5:19

behavior.

5:21

>> Indeed.

5:22

Like a lot of people do worry that

5:24

that's the case and that people will

5:25

assume that it's the case.

5:26

>> It's a naturalistic fallacy in your way

5:28

through all of the bad behavior of men

5:30

or all of the worst behavior of women or

5:32

all of the most repressive ideas that we

5:33

have for how people should behave.

5:35

>> Yeah, yeah. And I don't think that it

5:37

does justify any particular behavior. Um

5:40

but I do think it's

5:41

right to worry that people might assume

5:43

that it does, falsely assume that it

5:44

does.

5:45

So, I do think when we discuss these

5:47

issues,

5:48

uh that we should take into account the

5:49

concerns that people have about this

5:51

whole topic of sex differences. And we

5:53

should discuss them carefully. And we

5:55

should always emphasize that most of the

5:57

gaps are not huge. Most of the

5:58

psychological sex differences are not

5:59

huge. Um that there's a huge amount of

6:01

variation within both sexes, tons of

6:03

overlap between the sexes.

6:05

And also that there's no

6:07

um

6:07

normative implications or

6:09

disimplications. So, no um

6:12

sense of

6:13

because something is evolved, because

6:15

something is natural, that that

6:16

therefore means that it's good

6:18

or even permissible. Again, it's up up

6:20

to us to decide that.

6:22

>> Right to say that the the differences

6:24

are modest at best, but when you start

6:26

to stack them on top of each other, you

6:28

end up with huge You basically end up

6:30

with two completely separate Venn

6:31

diagrams, right? It's not just

6:35

preference for violence and risk-taking

6:37

and parental investment and da da da da.

6:39

It's when you put all of them together,

6:41

you do have two very different groups of

6:43

people.

6:43

>> Yeah, those are called multivariate sex

6:45

differences when you sort of cluster

6:48

the differences together.

6:49

Um I think that

6:52

while that's statistically true, I think

6:53

we have need to be a little bit wary

6:54

about the concept of multivariate

6:56

statistic multivariate um

6:58

sex differences just because

7:02

often we are thinking about single

7:03

traits. So, often we're thinking about

7:05

sex differences in parenting, sex

7:06

differences in sexual interests and

7:09

aggression, risk-taking, uh and and so

7:11

on. Um

7:12

but also if you were to

7:15

divide up take take a group of people,

7:17

divide them into two based on a flip of

7:19

a coin.

7:21

Um they're not going to be identical on

7:22

every trait. There's going to be small

7:24

differences between them. But then if

7:26

you add up all those traits, you could

7:27

just as well stack up the differences

7:28

between these two randomly chosen groups

7:30

of people, stack up the differences, and

7:31

you'd find that they equally uh

7:34

massively discrepant from each other

7:36

based on the multivariate statistical

7:37

approach.

7:38

So, um

7:39

so, I think we you to be wary about

7:42

exaggerating the magnitude of human sex

7:44

differences based on that statistical

7:45

approach. Cuz you could just as well

7:46

exaggerate the sex differences between

7:48

New Zealanders and New Zealanders and

7:49

Australians or and the British and the

7:51

French or or like I say two randomly

7:53

>> British and the French do that enough

7:54

already. All right, there's been a last

7:57

few years there's been a huge debate

7:58

about what sex actually is.

7:59

>> Yeah.

8:00

>> What's the definition that you land on?

8:02

>> Uh well, there are a few definitions.

8:04

The one that I land on is the

8:06

traditional scientific definition uh via

8:09

which sex is defined in terms of gamete

8:11

size.

8:12

So, in the vast majority of sexually

8:15

reproducing species,

8:17

uh you have two different gamete sizes

8:20

and the small gametes are called sperm,

8:21

the larger gametes are called eggs.

8:23

>> Is that across the board?

8:24

>> That is across the board.

8:25

>> No way. Like so, every every

8:28

almost every sexually reproducing male

8:33

>> Yes, produces sperm and sexually

8:34

reproducing female produces eggs.

8:36

>> Right.

8:37

>> And and

8:37

>> might this might be like the most

8:38

facepalm thing in my life. Wow, I didn't

8:40

know that that was those are the only

8:41

two currencies at play.

8:43

>> [snorts]

8:43

>> Um I mean, it seems like so so in

8:45

biology, it's not like math, right? So,

8:46

in biology, there are very rarely uh

8:48

generalizations that apply to every

8:50

single species.

8:51

>> Mhm.

8:52

>> Um this is one of them, but the reason

8:54

is that it's a definitional it's a

8:55

definitional truth. So, we define males

8:57

as the ones that produce the smaller

8:58

gametes. Um the

9:02

empirical truth that in principle could

9:04

have gone another way is the fact that

9:06

in the vast majority of species, you

9:08

have where the gametes are not

9:10

identical, you only have two different

9:13

types.

9:14

And one is bigger and one is smaller.

9:15

And that's true right across uh you

9:17

know, all species except the minority

9:19

where you uh you have

9:21

So, that's called anisogamy where you

9:22

have two different sizes and you have a

9:24

few isogamous sexually reproducing

9:26

species, but the vast majority

9:27

anisogamous.

9:28

>> Can you

9:29

what is what's an isogamous

9:32

sexually reproducing species What are

9:33

some examples of them?

9:34

>> Uh there are some very uh I think no

9:38

animals and no plants, but I think maybe

9:39

some simple bacteria and things like

9:41

that. And I think that would that would

9:42

have been the starting position. So, we

9:44

all evolved from species that originally

9:46

were isogamous.

9:47

>> Mhm.

9:48

>> They They first of all sexual

9:49

reproduction would have evolved, then

9:51

isoga- and they would have been

9:52

isogamous. They would have produced the

9:53

same gametes and mixed them. But then

9:55

that's evolutionarily unstable and that

9:57

tends to fall apart into uh smaller and

10:01

larger gametes.

10:02

>> Why Why is it unstable?

10:03

>> Uh because when you when you have

10:06

same-size gametes,

10:07

uh

10:08

the selection for any trait that will

10:10

increase the chances of being one of the

10:12

gamete I I producing gametes that are

10:13

going to uh produce offspring that

10:15

survive. So, that creates a selection

10:17

pressure for maybe loading up your

10:19

gametes with some extra uh supplies to

10:21

help them survive.

10:22

>> Mhm.

10:22

>> Um so so some gametes uh get a little

10:25

bit bigger

10:26

because of that. But as soon as they get

10:27

big enough, the larger gametes, you have

10:29

a selection for smaller gametes that

10:32

seek out the larger gametes and kind of

10:34

ride on their coattails.

10:36

>> Mhm.

10:36

>> And uh so and you get this it pushes

10:39

them apart. And

10:41

>> uh from a

10:43

sexual survival or a gamete survival

10:45

perspective,

10:46

>> Yeah.

10:47

>> it's the gray area in the middle of the

10:49

barbell is where you go to die and the

10:51

black and the white on either end are

10:52

actually the ones that are most

10:53

effective.

10:54

>> Exactly right. Cuz the ones in the

10:55

middle, they're not big enough, they

10:57

don't survive as well as the bigger

10:58

ones, they pack a picnic for their

11:00

offspring.

11:00

>> Mhm.

11:01

>> Um but they're also

11:03

>> in their

11:03

motility mobility by the the smaller

11:05

ones.

11:06

>> Exactly. And and just numbers, you know,

11:07

so like if you are producing small

11:09

gametes, you can produce many more. So,

11:11

individuals that produce the medium-size

11:12

gametes, they don't survive as well,

11:14

plus they don't produce as many.

11:15

>> remember what the stat is. There's some

11:17

stat around. Jerry, can you look at

11:18

ChatGPT, um how many sperm are produced

11:22

per day, human sperm versus human eggs?

11:24

It's a It's such a hilariously big

11:27

difference. Yeah. Um Okay, so broadly

11:30

across the animal kingdom, in almost

11:33

every single

11:35

sexually reproducing species,

11:37

there's a binary.

11:38

>> Yeah, there's a sex binary.

11:40

>> There's a sex binary, yeah. There's also

11:41

a ton of variation in terms of the

11:43

phenotypic characteristics

11:45

within each of those sexes.

11:47

But yeah, there is there is a sex

11:48

binary. You know, you and you do get

11:50

intersex individuals.

11:51

>> Yeah, what about the challenges to this?

11:53

We we have

11:54

hermaphrodites, within-sex variation,

11:57

intersex conditions. Does that disprove

11:59

this?

12:00

>> Uh it doesn't. Um so the I guess the

12:02

easiest one is the within-sex variation.

12:05

There is tons of it. So there's

12:06

variation in terms of levels of

12:08

masculinity, levels of femininity,

12:10

um just uh size dimorphism versus size

12:13

monomorphism, where they're they're

12:15

about the same size. Um

12:17

but nonetheless, they are all either

12:19

producing sperm or eggs.

12:21

>> Yep.

12:22

>> The vast majority within each within

12:23

each group.

12:24

>> You've seen that uh

12:25

image, right, of the bell curve graph,

12:28

and you say, "On average, something

12:30

something." And then somebody says,

12:32

"Well, I know a person who is actually

12:34

more that than the other group. I know a

12:36

a woman who's

12:38

6 ft 7." And and and she's actually

12:40

taller than most men. Most men on

12:42

average are taller than women. Well, my

12:43

friend's 6 ft 2. You go, "Right, okay,

12:45

but that doesn't necessarily disprove

12:49

the way that

12:50

>> yeah.

12:50

>> Exactly. The gen- The fact that the

12:51

generalization's there. And even more

12:53

so, the fact that the gamete size is

12:56

definitional, as you say. Oh, here we

12:57

go. I don't even know what that number

12:59

is. Is that sperm Is that a billion

13:01

sperm?

13:03

>> 100 to 300 million sperm per day

13:05

produced by healthy adult male.

13:06

>> no, no, no, no. I want this globally.

13:08

Total global sperm production, 200

13:10

quadrillion. Eggs released, 70 million.

13:14

Step it up, ladies.

13:15

>> So.

13:16

>> So, I think [ __ ] lagging behind. We

13:19

need to up the egg production, so I say.

13:21

So much of the so debate falls around

13:23

nature versus nurture.

13:24

>> Yeah.

13:25

>> So much of it.

13:26

How do you even begin to start to

13:28

separate this out, right? No almost no

13:32

women have grown up in a society that

13:35

hasn't had other women with the

13:37

expectations of women and almost no men

13:39

have grown up in society that doesn't

13:40

have the expectations of men. How do we

13:42

know that all of the sex differences

13:44

aren't just socialization?

13:46

>> It's a good question and um I think the

13:48

first thing I want to say about that is

13:50

that evolutionary psychologists don't

13:51

deny that socialization has a very

13:53

important uh impact on the nature of sex

13:56

differences in any given culture.

13:58

We know that it does have a big impact

13:59

cuz we know that sex differences, their

14:01

size, and the exact details of them,

14:04

many of them, vary across cultures and

14:06

vary across times. Um but in terms of

14:08

how we know that it's not just

14:10

socialization, there are various lines

14:12

of evidence that point in that

14:13

direction. None of them are perfect,

14:15

none of them by themselves seal the

14:16

deal.

14:17

But the reason I'm persuaded is that

14:19

they all point in

14:21

uh when you get a sex difference and

14:23

they all point in the same direction,

14:25

um that just makes a very strong case, I

14:26

think, that that is not just due to

14:28

socialization. And in the book I I lay

14:30

out six different lines of evidence uh

14:33

for an innate contribution to any given

14:35

uh difference. Um see if I can remember

14:37

the name. So, the first one is um

14:40

that a lot of sex differences they

14:43

appear very very early in the lifespan.

14:45

Uh so early in fact that even though

14:47

it's conceivable that it could be a

14:48

result of socialization, it just seems

14:50

less plausible than that there's

14:52

actually also an innate push. So, uh the

14:55

aggression sex difference and the

14:56

risk-taking sex difference, both of

14:58

those appear basically as soon as kids

15:00

are mature enough that they can move

15:01

around the place and are capable of

15:03

risk-taking, capable of aggressing. Uh

15:06

you get that sex difference um

15:08

like immediately. And and

15:09

[clears throat]

15:10

good example of that is that uh

15:12

right from the get-go, right from early

15:14

childhood, more boys than girls end up

15:16

in the ER from doing more risk-taking.

15:19

>> Mhm.

15:19

>> Uh and and also if it appears at puberty

15:22

as well, um, like a lot of sex

15:24

differences innate sex differences with

15:26

an innate basis, they

15:28

>> What do you mean when you say innate?

15:30

>> Uh, unlearned.

15:31

>> Right.

15:32

>> Unlearned, yeah.

15:32

>> Right. Right.

15:33

>> So there's an innate contribution, an

15:34

unlearned contribution, and where that's

15:36

the case, often you find that the sex

15:37

difference,

15:38

um, you may you may get it to some

15:40

degree early in the lifespan, but then

15:42

post puberty, it just skyrockets and and

15:45

expands.

15:45

>> Right. Okay. Which would suggest that

15:47

there is a biological basis, or else

15:49

>> Yeah.

15:49

>> why would this big change occur when

15:52

puberty happens?

15:53

>> Exactly. And and do so right across

15:54

cultures.

15:55

>> Yeah. Is it a Would the suggestion from

15:57

social roles, socialization theorists be

16:00

that well, during puberty,

16:03

culture ramps up its pressure on people?

16:07

There's greater expectation on young men

16:09

and women to change their behavior?

16:13

>> That would be the way that you would

16:14

have to you'd have to try to explain it,

16:16

uh, something like that, yeah.

16:17

>> Uh, [clears throat] I think they're more

16:18

malleable. They're more they're more uh

16:21

>> Yeah, more plastic at that age, perhaps.

16:22

Yeah. You could you could do that as

16:24

well. Um, and that's sort of implying an

16:26

innate, uh,

16:27

contribution to the plasticity, I guess.

16:30

But yeah, not to the specific sex

16:31

difference.

16:32

Uh, the reason I don't buy that, though,

16:33

is that most cultures actually try to

16:36

suppress male aggression, for instance.

16:38

Uh, in every culture, male aggression,

16:41

uh, post puberty, young male aggression,

16:43

violence, risk-taking, homicide, uh, is

16:46

a big problem that the society has to,

16:48

uh, deal with. And so, uh, usually they

16:50

they try to try to clamp down on it,

16:51

rather than trying to, uh,

16:53

encourage it. And nonetheless, you get,

16:56

uh, this uh, increase in aggression.

16:58

That's true. And actually, this is the

16:59

second line of evidence. Is that often

17:01

these sex differences appear despite

17:02

culture, rather than just because of

17:04

culture.

17:05

>> Mhm.

17:05

>> Culture's trying to push down aggression

17:06

like right from early on. Uh, parents,

17:09

teachers early on, they they actually

17:11

tell off boys for aggression more than

17:14

they tell off girls for aggression. Not

17:15

cuz they disap- disapprove of girls'

17:18

aggression, but just simply because boys

17:20

are more aggressive.

17:21

>> Right.

17:21

>> So, they have more cause more cause to

17:23

do it.

17:24

>> Mhm. I think

17:26

fMRIs of developing fetuses in the womb

17:30

can detect sex differences at 3 months.

17:33

>> They can I think I think even younger in

17:35

some cases as well.

17:36

>> Yeah. What are they are these

17:38

boys and girls, these tiny un- minus

17:40

6-month-year-olds,

17:42

are they

17:44

learning

17:45

that their brains are supposed to

17:46

develop differently?

17:47

>> Yeah, they've been socialized to develop

17:49

different brains inside of the womb.

17:50

Yeah.

17:51

>> Okay, so early development.

17:53

>> Early development um

17:55

appearing despite culture rather than

17:56

because of culture.

17:57

>> Yep.

17:58

>> Uh another one is that um

18:01

they persist often for a long time. So,

18:04

for instance, uh sex differences in mate

18:06

preferences were really consistent right

18:08

throughout the entirety of the uh 20th

18:10

century and the in the US.

18:11

>> Mhm.

18:12

>> Uh sex differences in career preferences

18:13

as well or or career-related interests.

18:15

>> Mhm.

18:16

>> Uh they were evident from

18:18

like the early 1900s when people first

18:21

started measuring them.

18:22

And then they just stayed the same. So,

18:24

so the average difference, the fact that

18:25

men for instance on average more

18:27

interested in things and things-related

18:29

jobs, whereas women on average are more

18:31

interested in people and people-related

18:33

jobs. That was that was the case right

18:35

throughout the 20th century uh despite

18:37

the fact that there was quite a strong

18:39

uh

18:40

social there was a lot of social

18:41

pressure to try to get more women into

18:43

uh traditionally male roles and it

18:45

persisted nonetheless.

18:46

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18:48

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19:50

What are the sociocultural explanations

19:53

that hold water?

19:55

Um well, I think a lot of them do.

19:57

Um

19:59

you know, it's it's tricky. So, I guess

20:00

we know because of cross-cultural

20:03

differences and

20:05

male-typical behavior, female-typical

20:07

behavior, and the size of the

20:08

differences, there's something that's

20:10

making the difference. But, it is

20:11

actually quite tricky to

20:13

to figure out what what it is that's

20:15

making the difference.

20:16

Um cuz we know, for instance, that

20:18

I guess like a popular explanation is

20:20

that it's how parents treat their kids.

20:22

And that seems incredibly plausible that

20:24

it's going to have an effect. There are

20:26

a few reasons to think maybe that it has

20:27

less effect than we might think. So, one

20:30

is that a lot of research in the West

20:33

finds that men finds that

20:35

parents don't particularly treat their

20:37

sons and daughters differently in some

20:38

important ways. But, they're equally

20:40

likely to encourage them to be

20:42

successful, equally likely to

20:44

encourage them to be independent.

20:46

Uh and another line of evidence against

20:49

parents having a big role is what's

20:51

called the second law of behavioral

20:52

genetics.

20:54

Uh and that's the finding that

20:55

um when two people, I guess like I say,

20:58

take identical twins. Two identical

21:00

twins that grow up in the same home,

21:01

you'd expect them to be more similar to

21:03

each other than two identical twins who

21:05

are separated at birth and reared apart.

21:07

And in childhood, they often are

21:10

quite a bit more similar than you would

21:12

expect by chance. Um by adulthood

21:14

though, they're often not much more

21:15

similar at all, and in some cases not no

21:17

more similar than they would be

21:19

um if they had grown up apart, which is

21:22

a surprising finding, but a very

21:23

consistent finding. And it suggests

21:25

maybe that um parental

21:28

treatment

21:29

affects individuals less than we might

21:31

think that they would. This kind of

21:32

pulls out the rug a little bit from the

21:34

idea that parents are having a huge

21:35

impact on sex differences specifically.

21:37

>> What about the gender equality paradox?

21:40

>> Uh well, that uh undermines another kind

21:42

of uh social cultural explanation, which

21:44

is the idea that um

21:47

the sex differences that we see are

21:48

products of the social roles of a

21:50

culture.

21:52

And shaped by

21:53

>> Is that social roles theory?

21:54

>> Yeah, social roles theory, exactly. Um

21:56

and patriarchy theory, the idea that

21:58

it's due to patriarchy, um

22:00

uh

22:01

that as well is undermined by the gender

22:03

equality paradox.

22:05

Um cuz both of those theories would

22:06

predict that in like like more

22:09

patriarchal societies

22:11

societies that are more patriarchal, uh

22:13

societies that have stricter gender

22:14

roles

22:15

>> Yeah.

22:15

>> you'd expect that it predict that the

22:17

sex differences would be bigger in those

22:19

societies

22:20

uh than they are in less patriarchal

22:22

societies, and ones that have less

22:24

strict social roles.

22:25

>> What would be some examples of how that

22:27

would play out if that was true?

22:29

>> Uh

22:29

basically any sex difference you care to

22:31

name, uh aggression sex difference, sex

22:33

differences in masculinity versus

22:35

femininity, all of those should be

22:36

bigger. Sex differences in

22:38

career-related preferences, they should

22:40

be bigger as well.

22:41

And the gender equality paradox is the

22:43

deeply counterintuitive finding, an

22:45

incredibly fascinating finding, that

22:47

often it goes the other way. Seems to go

22:49

the other way, that actually in more

22:50

gender equal societies, societies that

22:52

are less strict in terms of the gender

22:54

roles,

22:55

uh and societies that are less

22:56

patriarchal, you actually find larger

22:58

sex differences often rather than

22:59

smaller ones.

23:01

Uh

23:02

which is

23:02

>> in the direction that you would predict

23:04

as well.

23:05

>> Uh, yeah. So, so opposite to the

23:07

direction you predict if social role

23:09

theory was correct.

23:10

>> But, in the direction you would predict

23:11

if you were taking an evolutionary

23:12

perspective, I would imagine.

23:13

>> Um, well, actually, you know, taking an

23:15

evolutionary perspective, I I didn't

23:17

originally predict that. I I thought

23:19

that in more patriarchal societies, e-

23:22

even given that there's an innate push

23:23

towards certain sex differences, I still

23:25

thought that patriarchy and stricter sex

23:27

roles would pry the sexes apart even

23:29

more.

23:29

>> Right.

23:30

>> So, I was actually very surprised that

23:31

it doesn't and that it does the reverse

23:34

is the real surprise.

23:35

>> What are the rebuttals to socio- that

23:38

socio-cultural

23:39

explainers have for the gender equality

23:42

paradox?

23:43

>> Uh, there are a few. One is that, um,

23:45

people in more patriarchal societies,

23:48

they tend to the the men and women have

23:49

little to do with each other.

23:51

>> Right.

23:51

>> And so, that they have a more sort of

23:52

exaggerated picture of,

23:55

uh, the other sex. And so, when they

23:57

fill out personality inventories, for

23:58

instance, they they're comparing

24:01

themselves with with other men if

24:02

they're men or other women if they're

24:03

women. And they therefore see themselves

24:06

as being more similar to the

24:09

average

24:10

for their comparison group. But, their

24:11

comparison group is just their sex.

24:13

>> they're just in they're so siloed off in

24:15

these patriarchal societies that they

24:17

don't know what the [ __ ] the other

24:18

side's doing.

24:19

>> Exactly.

24:21

It is. [laughter] It is.

24:22

>> You're just in a bunker so much that you

24:25

don't know what's going on.

24:26

>> Exactly.

24:27

>> It makes sense. It does.

24:28

>> It does, but, um, there's also a

24:29

plausible rebuttal to that rebuttal,

24:31

>> [laughter]

24:32

>> uh, which is that, um,

24:33

>> It's [ __ ] love it. So good. This is

24:35

my [ __ ] This is my [ __ ] [laughter]

24:39

>> Uh, so, it doesn't just apply to

24:40

self-report things like personality. You

24:42

also find it for, uh, some cognitive

24:44

abilities. I think spatial ability, for

24:46

instance, you find it.

24:47

>> Yeah.

24:48

>> Um, you find it as well for physical

24:51

traits like height.

24:53

>> Are you saying that in more gender equal

24:55

societies boys get even better better at

24:57

throwing.

24:58

>> Um I don't know if that is actually the

25:00

case, but that that would be an example

25:02

if there's research on that. I'm not

25:03

sure there is actually cross-cultural

25:04

research on that.

25:04

>> Throwing's my favorite one, dude.

25:05

>> It's huge huge difference.

25:06

>> my It's one of my absolute favorite. Did

25:08

you ever look at that study where um so

25:11

the the the difference in throwing uh

25:13

velocity, accuracy is a pretty big sex

25:16

difference. But one of the um

25:20

appropriate pushbacks was, well, uh

25:23

men's shoulders articulate differently,

25:25

uh the length of the forearm means that

25:27

you've got more leverage, etc. etc. I

25:29

think the the sex difference at 8

25:31

[clears throat] years old in throwing

25:32

velocity and accuracy is basically the

25:34

same as adult men and women being able

25:36

to detect adult women and men just by

25:39

their face.

25:40

>> Right.

25:40

>> It's a 90% It's a huge huge huge

25:43

difference. So, there was this My

25:44

favorite study on this was uh in order

25:46

to negate the articulation argument, the

25:51

issues of sort of biomechanics, uh they

25:54

got a tennis ball serving machine and

25:57

fired tennis balls at students.

25:59

>> Yep.

25:59

>> And got the boys and the girls to see if

26:01

they could get out of the way. And I

26:03

don't think any of the males were hit.

26:05

And I think that I This is before you

26:07

wouldn't have been able to get this past

26:08

an ethics board. Um but yeah, just the

26:10

sort of spatial uh awareness, that

26:12

spatial rotationy stuff is um

26:15

the sex difference is is is pretty

26:17

large. And apparently Maybe maybe in a

26:19

more gender-equal society, even more

26:21

would be women would be hit by the

26:22

tennis balls.

26:23

>> Well, that's possible, yeah. Um so, the

26:24

gender equality paradox, it doesn't

26:25

apply to every trait. So, it might not

26:27

necessarily be that. But um yeah. But

26:29

but you are right. I think that was

26:30

probably a 70 I think it was a 70s

26:32

study. I'm not sure you could do that.

26:33

Yeah, in fact, you couldn't do that. You

26:35

couldn't aim projectiles at uh

26:36

participants in studies anymore, sadly.

26:39

>> What's the largest sex difference

26:41

between men and women?

26:43

>> Um well, the largest ones are physical

26:45

differences.

26:46

Physical sex differences. So, um the

26:49

very largest uh sex differences in

26:50

reproductive anatomy, where basically

26:52

all males have penises, all females have

26:55

vaginas, and so on.

26:56

Um

26:58

but other physical sex differences um

27:00

are also very very large. So, the sex

27:02

difference in upper body strength is is

27:05

huge, and there's very little overlap,

27:06

close to no overlap

27:08

uh for that one.

27:10

Um the sex difference in voice pitch is

27:12

another very very large one as well.

27:14

That's huge, uh which is quite

27:16

interesting because uh

27:18

the voice pitch sex difference other

27:20

apes

27:21

isn't isn't as big. It's nowhere near as

27:22

big. And that's even the case for um

27:25

for other species that are much more

27:27

dimorphic than us in terms of the size,

27:28

like gorillas and and orangutans.

27:31

So, that's a bit of a puzzle, not quite

27:32

sure why that is, why that's the case.

27:34

Uh when it comes to psychological sex

27:37

differences, the vast majority of them

27:39

are much more modest,

27:40

um but there's one that stands out as

27:43

being as being almost as big as some of

27:44

these physical ones.

27:46

I always ask people if they can guess

27:48

what it is. I think last time I was on

27:49

your show I asked you if you could

27:51

guess, and and you didn't, but then no

27:53

one does.

27:53

>> I've read the book now.

27:54

>> You've read the book now, so

27:55

>> Yeah. Yeah. Yeah.

27:56

>> So, you've got a head start on that.

27:58

>> what it would be, Jared? The the single

28:00

biggest psych psychological sex

28:02

difference between men and women?

28:04

>> Hm.

28:05

Is it aggression?

28:06

Um

28:07

>> It's not aggression. I'll give you a

28:08

clue, and that's that it is

28:11

it's related to reproduction pretty

28:13

closely.

28:14

What was that?

28:14

>> Diversion.

28:15

>> It's Well, actually, that is a big sex

28:17

difference, but

28:17

>> Not as Not as big as this one. You speak

28:19

to yourself.

28:20

>> Speak for yourself, dude.

28:21

>> [laughter]

28:22

>> It's the sex difference in

28:24

which sex each sex is primarily

28:27

attracted to. So, men most the vast

28:29

majority of men are primarily attracted

28:30

to women, the vast majority of women

28:32

primarily attracted to men. And when I

28:34

say it, it's obvious right it's so

28:36

obvious that it's a big sex difference,

28:38

and um

28:40

but but it's curious, people don't think

28:41

of it. Even um scientists often don't

28:43

think about it. I've read a bunch of

28:44

papers that summarize evolved sex

28:46

differences, and they don't tend to

28:48

mention that one. They often neglect to

28:50

mention that

28:51

that very very large one, but also that

28:53

one that has quite a clear evolutionary

28:55

rationale. That's very interesting.

28:57

>> because if that wasn't the case, we

28:59

wouldn't be here.

28:59

>> Exactly.

29:00

>> Literally.

29:01

>> We literally wouldn't be here. Yeah.

29:02

>> Uh okay, so what are the biggest sex

29:03

differences? Let's get down to some

29:05

brass [ __ ] tacks. What are the

29:06

biggest sex differences when it comes to

29:08

sex?

29:09

>> When it comes to sex,

29:10

>> Yes.

29:11

>> one of the largest ones is the sex

29:13

difference in interest in casual sex and

29:15

sexual variety. And

29:18

so basically so sociosexuality, the

29:20

trait of sociosexuality. No strings

29:22

attached sex.

29:24

Do I need to mention which direction it

29:26

is?

29:26

>> Uh

29:27

yeah, yeah, yeah, yeah, yeah.

29:28

Someone can intro it I guess.

29:30

>> Yeah.

29:31

So so men on average

29:33

uh score higher.

29:34

However you measure that trait, they

29:35

score higher than women on that trait.

29:38

The difference is there maybe though are

29:40

not not as huge as people sometimes

29:42

assume.

29:43

Um we're looking usually at an effect

29:45

size of

29:46

uh you know, about

29:49

Cohen's d equals one. So what what that

29:50

means is there's about one standard

29:52

deviation between the average for men

29:55

and the average for women.

29:56

Uh so so yeah, between eight and one.

29:59

And that is pretty big. That that is big

30:01

for a human sex difference.

30:02

But there is still quite a bit of

30:04

overlap. So there are plenty of women

30:07

who have a higher sociosexuality than

30:09

plenty of men.

30:10

I guess an intuitive way to put it, a

30:12

way to make it intuitive, would be to to

30:14

say to imagine plucking two people at

30:17

random, one man and one woman.

30:19

With effect size of

30:21

or or one, probably two-thirds to 70% of

30:25

the time the man will score higher than

30:26

the woman on that trait.

30:28

Um so that is a majority. It's not an

30:30

overwhelming majority though. In a

30:32

significant minority of cases, you'd

30:34

find that actually the woman scores

30:35

higher than the man.

30:36

>> Mhm.

30:37

>> Yeah.

30:37

>> Why?

30:38

>> Why is that sex difference? That is

30:40

getting right into this the central

30:42

question of why there are any sex

30:44

differences at all.

30:45

>> we we we probably need to talk about

30:47

like the evolution of sex differences,

30:48

why they why they exist in the first

30:49

place.

30:50

>> Yeah, um so we should jump to that.

30:53

Uh

30:54

Can I just as an aside though, can I we

30:56

we mentioned three of the six lines of

30:58

evidence for innateness. Do we want to

31:00

jump back and do the other three and

31:01

then maybe get into the sort of thing.

31:03

Um

31:05

So, what are we what are we

31:08

So, we had the developmental sex

31:09

differences, we had the resistance to

31:12

cultural pressure, we had the um

31:15

persistence across time. So, another one

31:18

is uh hormonal correlates of sex

31:20

differences.

31:22

And in particular, um you find

31:24

associations between prenatal hormonal

31:26

exposure and traits found later in life.

31:30

Uh so, higher levels of testosterone in

31:32

the womb for instance are associated

31:34

with higher levels of aggression later,

31:36

higher levels of risk-taking,

31:38

lower levels of parental inclinations.

31:41

>> Mhm.

31:41

>> Uh and so on. So, a lot of

31:43

>> regardless of sex.

31:44

>> That is regardless of sex, yes. So, you

31:45

can look at within sex differences as

31:47

well.

31:48

>> Mhm.

31:48

>> And uh yes, so one actually very strong

31:50

line of evidence for that claim is the

31:52

fact that uh women who who when they're

31:55

in the womb are exposed to very very

31:58

high levels of prenatal uh testosterone

32:01

uh due to having a condition called

32:03

congenital adrenal hyperplasia or CAH.

32:06

Uh they

32:08

as girls and then as women, they they

32:10

exhibit a lot of uh male-typical

32:13

traits.

32:15

Uh for instance,

32:16

>> in playing with dolls.

32:17

>> Exactly, yeah. Less interest in uh

32:20

getting married and having kids, uh more

32:22

interest in things-related professions

32:24

as well.

32:25

>> [clears throat]

32:25

>> So, that's pretty interesting.

32:26

>> them more likely to be bisexual or

32:27

lesbian?

32:28

>> Yeah, yeah, it does. It makes them more

32:29

likely to be interested in in other

32:31

women sexually as well, either as

32:32

bisexuals or as lesbians, yeah.

32:34

>> Wow.

32:35

>> So, so like a wide range of traits seem

32:38

to be influenced by testosterone.

32:39

>> is is correlates with hormones?

32:42

>> Yep. Uh the fifth one is uh

32:44

cross-cultural universality.

32:46

So, most of the key sex differences that

32:49

we've been discussing so far, they are

32:51

found either in every culture

32:53

or in the vast majority. And if it were

32:55

all just down to culture,

32:57

you wouldn't expect that. You'd expect

32:59

there to be more variation across

33:01

cultures than what we found. Um but you

33:04

don't you know you just always have like

33:05

in every culture, you find that men are

33:07

more aggressive than women, and you find

33:09

uh at the extreme of aggression in

33:11

particular, the differences are

33:12

particularly big. And you find that the

33:14

vast majority of homicides are

33:15

perpetrated by by guys in every single

33:17

nation for which we had data.

33:19

Greater risk-taking, more accidental uh

33:22

fatalities among men than women.

33:24

Uh women across cultures are more

33:26

involved in parental care, and so on and

33:28

so on.

33:29

And then last but not least, and maybe

33:31

this is the one I find most plausible on

33:33

its own, is the fact that a lot of these

33:34

sex differences, you find them as well

33:36

in in other species.

33:38

You don't find them in all other

33:39

species, but importantly you find them

33:41

in species um

33:43

that were subject to the same

33:45

evolutionary selection pressures as as

33:47

ourselves.

33:48

Uh and actually the selection pressures

33:51

in question uh bring us to the ultimate

33:54

roots of evolved sex differences.

33:57

Uh so, basically

34:00

most sex differences emerge from the sex

34:03

difference in in what I like to call the

34:05

maximum offspring number,

34:07

the male animals versus female animals

34:09

can produce. And in most species, uh the

34:12

males potentially can produce more

34:14

offspring than females.

34:16

Um that that average number of offspring

34:18

has to be the same. At least in species

34:20

where you have similar sex ratio, the

34:23

average has to be the same, but the

34:24

variance in the number of offspring

34:26

produced can be greater in one sex than

34:29

the other, and it's usually greater in

34:31

males.

34:32

>> Why does the average need to be the same

34:33

if the variance can be different?

34:35

>> Uh because it takes two to tango.

34:36

>> Yeah.

34:37

>> And so every

34:39

uh

34:39

offspring that's produced is produced by

34:41

one male one female.

34:43

And in most species it can be

34:44

>> have one male

34:46

servicing 20 females, why not have a 20

34:48

to one ratio?

34:49

>> Well, that'll be a 20 to one ratio in

34:51

terms of the number of parents.

34:54

But the [snorts] average number for each

34:55

sex will be the same.

34:56

>> Right.

34:57

>> Because you got the one male with 20

34:58

times more

34:59

>> Mhm.

34:59

>> uh than any female.

35:00

>> Mhm.

35:01

>> And then 19 and so that's already a high

35:03

number. But then the other 19 bachelors

35:05

who never get to have kids, uh that

35:07

brings the average for males down.

35:09

And then it's the same for all the

35:10

females. So you average out across all

35:12

of them and and the average is the same.

35:13

>> I I get that.

35:15

>> Sure.

35:15

>> Maybe I'm being stupid. Why is it not

35:18

the case given that men given that males

35:20

are able to produce more children than

35:23

women can

35:25

and females can,

35:26

>> Yeah.

35:26

>> why is it not the case that there is a

35:28

bias toward fewer males in the animal

35:32

kingdom?

35:32

>> Right. Right. That's a great question.

35:34

Um and that is one of the sort of early

35:36

mysteries

35:38

of evolutionary biology.

35:40

And if it were for the if selection

35:41

acted for the good of the group, that is

35:43

what we'd find.

35:44

We'd find if if you only need one one

35:46

male for every 20 females and

35:51

selection were were for the good of the

35:52

group, you get that because

35:54

if you have 20 of each,

35:55

>> Mhm.

35:56

>> then the other 19 are surplus and

35:57

they're using up these resources and

35:59

they can uh competing with each other

36:01

and fighting with each other. It's not

36:02

good for the species as a whole. Uh but

36:04

selection favors what's good for the

36:05

individual. And for the individual,

36:08

>> I could be the one.

36:09

>> You could be the one, exactly. And and

36:10

the average is the same. So the the

36:13

Um it's I guess it's useful to think

36:14

about

36:16

Think about it from the parents' point

36:17

of view. Like is it better to have to

36:19

have sons or daughters?

36:21

Um and if there were

36:23

20 females for for one male,

36:26

it'd be much better to have sons

36:28

because each son is going to just have

36:30

There's going to be tons of females. And

36:31

so that would mean that selection would

36:33

slowly favor an increase in the number

36:34

of sons.

36:35

>> well, the [ __ ] you can't beat

36:36

evolution.

36:37

>> Exactly. And the reverse, if there's 20

36:39

20 males and on for every female, then

36:42

it would be better for parents to

36:43

produce daughters because then they get

36:45

to pick the cream of the crop and and 20

36:47

males probably they're going to have a

36:48

low number, so it's better to have

36:50

daughters. So

36:51

the equilibrium point is 50/50.

36:53

>> Yeah, obviously as well, there's

36:54

survival and not just reproduction.

36:56

We're not living in this perfect

36:58

hermetically sealed safe environment.

37:00

>> Yeah.

37:00

>> Males do other things than just

37:03

reproduce regardless of whether they can

37:05

do 20 to 1 or not.

37:06

>> And they

37:07

Yeah.

37:09

>> Getting food, helping to protect,

37:12

getting rid of other tribes, etc., etc.

37:14

>> Yeah. Yeah, exactly. And you know, there

37:16

are plenty of species where the male uh

37:18

his his role

37:20

in reproduction is just the reproductive

37:22

act and then he then he's off looking

37:24

for other females, but we're not one of

37:26

those species.

37:27

I mean, that does happen occasionally.

37:29

There's occasional male that would do

37:30

that. Uh but generally we're quite

37:31

involved in child care.

37:34

Uh yeah, so okay, so

37:37

the big difference there is you you get

37:38

this difference in the variance.

37:39

>> Mhm.

37:40

>> Um some males can have tons of

37:42

offspring.

37:43

Uh and they can have many more offspring

37:45

than any female can. Where that's the

37:46

case though,

37:48

there's going to be some males that have

37:49

no offspring

37:50

um or maybe a few a few or none.

37:53

And where that's the case, you get

37:54

strong selection on the males to be one

37:57

of the lucky few males that has many

37:58

offspring

37:59

>> Mhm.

38:00

>> rather than one of the the few that has

38:01

none.

38:02

>> Yep.

38:02

>> Or one of the many that has none.

38:03

>> Yep.

38:04

>> Um and so that selects for traits like

38:08

greater aggression, within sex

38:09

aggression to try to beat up other males

38:11

for either directly for females

38:13

>> Okay.

38:14

>> or for the territories,

38:15

the status, or the resources that are

38:17

necessary to attract female attention.

38:20

Uh a tendency to show off, a tendency to

38:23

grow a great big tail. If you're a

38:25

peacock, you might want to try that.

38:26

Grow a great big flashy tail to seduce

38:28

the peahens.

38:30

Um, or just a tendency to seek multiple

38:33

mates. And uh, and seek no strings

38:35

attached sex, basically. So, that's the

38:37

answer to your earlier question. Is that

38:39

what That's why you have selection for

38:41

like stronger selection on males than

38:43

females for an interest in multiple

38:44

partners and sex without commitment or

38:47

that kind of thing.

38:48

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38:50

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39:44

>> How does parental investment influence

39:47

the evolution of sex differences?

39:49

>> That is a major contributor. And the

39:52

reason is that So, so this variance sex

39:55

difference is mainly a a result of sex

39:57

differences in parental investment. So,

40:00

the reason that um, some males can have

40:03

many, many more offspring than any

40:05

female in in a lot of species is that

40:07

females invest more in the young.

40:09

So, in mammals for instance, to produce

40:11

any one offspring, uh, a female has to

40:13

have a have a long pregnancy, has to

40:15

give birth to the young, and then has to

40:17

nurse the young uh for for a while,

40:20

whereas uh a male to produce an

40:21

offspring just, in principle, only needs

40:24

to um engage in in one sex act.

40:27

>> Mhm.

40:27

>> So, he can mate with multiple females

40:29

and have tons of offspring cuz he

40:31

invests

40:32

potentially little in any given

40:33

offspring.

40:34

>> Mhm.

40:34

>> Uh whereas the females on the other

40:35

hand, they invest a lot in each

40:37

offspring. That lowers the ceiling for

40:39

the number of offspring they can

40:40

produce.

40:41

>> Therefore, you have to be choosier.

40:42

>> You have to be choosier about your

40:43

mates, exactly. Sleeping with

40:45

uh or or mating with lots and lots of

40:47

males less useful for females than for

40:49

males.

40:50

Um

40:51

but

40:52

so so parental investment is really the

40:53

core um to

40:55

>> Is that the Is that the key driver?

40:57

>> Uh well, I think the key driver is the

40:59

difference in the maximum offspring

41:01

number or or the reproductive variance.

41:03

>> Right.

41:03

>> Because it's not just shaped by parental

41:05

investment.

41:05

>> Behaviorally, that shows up as parental

41:07

investment.

41:08

>> Well, that's a big part of it, yeah. So,

41:09

the parental investment is is the major

41:12

cause of the sex difference in in

41:14

maximum offspring number. But other

41:15

things do come into it in different

41:17

species.

41:18

>> periods too is like a biological

41:20

imposition on parental investment,

41:23

right?

41:23

>> Well, look, is actually is is

41:25

how long it takes to just make a baby

41:28

considered part of parental investment?

41:30

>> of parental investment, yeah.

41:31

>> Right.

41:32

>> And parental care is and nursing is

41:34

>> Yeah.

41:34

>> Um

41:34

>> Obviously those two, but I wasn't sure

41:36

whether or not it's classed Parental

41:37

investment is classed as actually the

41:39

making of the baby.

41:40

>> It it is cuz it forecloses the option to

41:42

make other babies.

41:43

>> Understood.

41:43

>> Yeah. Yep. Yep. Yep. Um but ecological

41:45

factors come into it as well. So, one

41:47

example of um effect other than parental

41:49

investment that influences the

41:50

reproductive variance uh is ecological

41:52

factors. So, you'll have some species

41:54

where the males where they're quite

41:56

solitary. So, the males and females

41:58

might pair up, and there aren't many

41:59

other individuals around. Um even if the

42:03

female invests a lot more in the young

42:06

than the male does,

42:08

their maximum offspring number is about

42:10

the same because just simply cuz they're

42:12

isolated from other uh members of the

42:14

species, the males don't have many other

42:16

opportunities to sow their wild oats,

42:18

basically.

42:18

>> What's Bateman's principle?

42:20

>> Bateman's principle,

42:21

so that is the idea that reproductive

42:23

variance is greater in males than

42:25

females in most species.

42:27

>> Right.

42:27

>> And then Trivers sort of refinement of

42:29

that was that the main cause of that is

42:31

parental investment. So so Bateman

42:34

put put put a lot of it on anisogamy. He

42:37

explained the difference in in

42:39

reproductive variance in terms of the

42:41

fact that

42:42

um

42:43

females invest more per egg than males

42:45

invest per sperm.

42:46

Um

42:47

Trivers said, Robert Trivers, who died

42:49

recently, he said it's not just that,

42:51

actually it's it's all kinds of

42:53

investment that you put into into the

42:55

young, not just the gametes, but also

42:57

gestation and parturition, which is

42:59

giving birth, uh nursing, parental care,

43:02

all those things um are what matters.

43:05

And and I would just add that it's

43:06

parental investment is the big one, but

43:08

other things as well determine

43:09

reproductive variance.

43:10

>> What is the It's about 40% of males of

43:15

human males ancestrally reproduce and

43:17

about 80% of females, is that right?

43:20

>> I have heard that number bandied about.

43:22

I actually think that probably

43:24

in our species,

43:26

my guess is that it's not it's not that

43:27

big. I've also seen other evidence

43:29

suggesting that um

43:32

it's called reproductive skew,

43:33

>> Mhm.

43:33

>> and suggesting that the reproductive

43:34

skew in our species is quite a bit lower

43:37

than you find in most mammals.

43:38

And I think the reason for that is that

43:40

>> So the 40-80 number you think is is

43:43

wrong?

43:43

>> Yeah.

43:43

>> Right, okay.

43:44

>> so. I think it's I think it's a small

43:45

one. I well I think it's smaller and I

43:47

think because males in our species very

43:50

often invest

43:51

quite a lot in the in the young. So it's

43:53

not just the sex act. Um they often

43:56

typically help out with the young as

43:58

well.

43:59

Uh and so we have we have high levels of

44:01

biparental care in our species. That

44:04

reduces the maximum offspring number for

44:06

males relative to females and

44:08

brings it down brings it closer to what

44:10

we have for females.

44:11

>> So if other animals have less of a

44:13

reproductive skew but also have less

44:17

male parental investment, how would the

44:19

reproductive skew for us be so great if

44:22

we have more male parental investment?

44:24

Is that what you're saying?

44:24

>> That that is what I'm saying.

44:25

>> Bingo! I [ __ ] know evolutionary

44:26

psychology, dude. Don't test me on this.

44:29

I [ __ ] understand this. It's the only

44:30

topic I understand.

44:32

Um

44:32

>> Yeah.

44:33

>> So it's the variance in reproductive

44:34

success.

44:35

>> What

44:35

>> What do you What do you reckon it was

44:37

then if it's not 40/80? Feel free to

44:39

just bro-science it.

44:40

>> I think I

44:41

I might

44:42

>> [laughter]

44:44

>> Um I probably shouldn't put a number. I

44:46

I uh

44:48

other than to say I think it's smaller.

44:50

I think it was it was smaller.

44:52

I know. I know.

44:53

>> That's why I'm in the room, dude. Let me

44:54

just [laughter] find and put this thing

44:55

on for the rest of the conversation. Um

44:58

>> Well, you've got these as well.

44:59

>> That's also That's if you want to say

45:00

something insane.

45:01

>> Okay, cool. Well, I'll keep it here cuz

45:03

I may well want to

45:04

>> insane, you're allowed to put that on.

45:06

It's actually saved me once already. I

45:09

I got I got clipped talking about a

45:10

slightly highly postulated theory. Put

45:12

that on. It's going to be interesting on

45:13

you because you already have the

45:14

mustache and the glasses.

45:15

>> It will indeed, yeah.

45:16

>> Nothing's changed.

45:17

>> Nothing's changed.

45:18

>> [laughter]

45:24

>> Yeah. Okay, so we've got a

45:27

It's like an interesting I guess an

45:29

interesting

45:31

pivot on what people think. The That's

45:34

sort of 40/80 number. As far as I was

45:36

aware, like to actually

45:38

So you think the skew is different? What

45:40

I thought might be true is that the

45:42

overall number might be different, too.

45:45

That the whole To me, infant mortality

45:49

>> Right. Right. Right.

45:49

>> [ __ ] ruthless. So

45:51

the only way that we can work out how

45:53

many

45:54

of our ancestors reproduced presumably

45:56

is due to some kind of genealogy stuff.

45:59

And that means that it's not how many

46:01

reproduced, it's how many survived.

46:04

>> Yeah, survived to reproduce

46:05

>> yeah. The grandparent optimizing machine

46:08

from your

46:09

previous book, which is fantastic and

46:11

everyone needs to go and look at.

46:12

>> Um yeah, everyone has said the universe.

46:15

>> 80% of women having

46:19

grandchildren producing or

46:22

80% of women being grandchildren

46:24

producing people

46:26

>> Yeah.

46:26

>> seems insanely high to me.

46:29

>> Uh I guess the thing is that they would

46:31

have had a bunch of kids and only about

46:32

50% would make it, but 50% would make it

46:35

and so if they, you know, have sex for

46:37

instance.

46:38

>> That's what it is, around about 50%

46:40

>> Yeah.

46:40

>> that are born go on to reproduce.

46:42

>> With unbelievably high, right?

46:44

Uh what about 50% um infant mortality

46:47

rate. So, like half of them didn't make

46:49

it. Yeah. One of the great things I

46:50

think about civilization is that we have

46:52

lowered that number to very close to

46:54

zero

46:55

cuz that was I think a massive cause of

46:57

misery throughout most of human history.

47:00

>> Was it Darwin lost a bunch of kids?

47:03

>> He did, yeah. He had uh

47:05

What was it? He He had 10 and three

47:07

didn't make it to adulthood, I think

47:08

that's the number. Yeah.

47:10

>> Is it your book or was it I think this

47:12

might have been The Moral Animal Yeah.

47:15

where

47:16

Robert Wright talks about the fact that

47:18

Darwin lost multiple children.

47:21

But the one that was the most

47:23

psychologically painful Yeah. was his

47:26

daughter who was 12 or 13.

47:28

>> Yeah.

47:29

>> And the reason for that

47:31

the evolutionary reason that Robert

47:33

gives for it is that

47:36

parents are able to detect

47:39

the moment at which the life cycle of

47:42

their child would have allowed them to

47:44

just about become the grandparent

47:48

optimizing machine that evolutionarily

47:50

we're driven to be. And that if a child

47:53

dies at two years old, that's

47:56

horrible, but

47:58

they won't they had a long way to go and

48:00

many things could have occurred between

48:01

now and being able to have kids. If a

48:04

child dies when they're old, then

48:07

they've had all of the opportunities to

48:09

have had kids and that didn't

48:11

didn't go well or maybe did go well. But

48:13

if you are just on the cusp of being

48:15

able to reproduce biologically and you

48:18

die, that is from an evolutionary

48:21

perspective the most painful. Am I

48:23

making that up or is that the story?

48:24

>> No, that is the story. Yeah. And

48:26

there's

48:27

pretty good evidence on it as well. That

48:28

grief tracks reproductive value of the

48:30

individual.

48:31

>> No [ __ ] way. So this has been

48:33

reproduced cuz that book's 30 years old

48:35

now.

48:35

>> Yeah. Yeah.

48:36

Um yeah, go the grief average grief

48:39

levels go up and up and up as

48:40

reproductive value goes up as as kids

48:42

move from the very vulnerable

48:44

historically very vulnerable early

48:46

infancy to childhood, it's kind of peaks

48:49

at about the age that reproductive value

48:52

peaks. So couple of years after puberty

48:55

and then starts coming down again as

48:56

people get older.

48:57

>> [ __ ] fascinating. How is everyone not

48:59

obsessed with evolutionary psychology?

49:01

It's so cool. It's so fun.

49:04

>> And sheds light on some of the most

49:06

fundamental stuff in life.

49:07

>> Yeah, I mean obviously it's very

49:10

bleak in some ways too. It's very stark.

49:12

It doesn't paint a particularly

49:13

flattering picture of human motivation.

49:16

Like the reason that Darwin was

49:17

particularly sad about his 13-year-old

49:19

daughter dying is that he had this weird

49:22

algorithm running in the back of his

49:23

mind. He's like, "Oh, so you're just

49:24

saying that all the children are that

49:26

produced for you to be happy to do

49:28

things like

49:29

I do that you you don't need to lord

49:34

our ultimate evolutionary drives

49:37

>> Yeah.

49:38

>> in order to understand and respect them

49:40

and accept the fact that they are

49:42

important influences on our behavior.

49:44

>> I completely agree and even you know,

49:46

and I do feel the pull to what like it

49:48

is a bit bleak. I remember when I was

49:49

first reading about that grief theory,

49:50

it does seem a bit a bit dark. But then

49:53

when you think about it though, it's not

49:54

very flattering exactly. I mean, I guess

49:55

one thing is that um

49:58

we don't actually we're not actually

49:59

thinking about reproductive value.

50:01

Uh we just we just have a built-in

50:03

tendency to react as if we are. But

50:05

we're not actually thinking in the back

50:06

of our minds, this is sad because

50:09

I this this kid was going to close

50:11

[laughter] to having kids and then I

50:12

wouldn't have been

50:13

>> then. Well, this is

50:15

this is sort of my least I don't know

50:17

actually. I I I probably could write out

50:19

a hit list of my least favorite internet

50:22

rebuttals to anyone talking about

50:24

evolutionary theory, but one of them is

50:29

a lack of understanding about the

50:30

difference between proximate and

50:31

ultimate motivations for behavior.

50:33

>> Yeah, exactly. So one of the big ones.

50:35

>> Yeah, like the

50:36

>> big misunderstandings.

50:37

>> why you

50:39

feel the desire to do a thing

50:41

and the evolutionary advantage of you

50:45

doing the thing. The fact that those two

50:47

things are different. Um you eat food

50:50

because it tastes good. But the reason

50:52

for eating food is to keep you alive.

50:55

You have sex because it feels good, but

50:57

the reason to have sex is not the reason

51:00

that it feels good.

51:01

>> Exactly right. And and it's quite

51:03

annoying, right, when people say, "So

51:04

you're saying that um like sex and

51:07

uh having like short-term relationships

51:09

or long-term relationships is just about

51:11

babies, but that can't be true cuz often

51:13

the last people the last thing people

51:14

want is to have kids."

51:15

>> I don't want to have kids. I'd love to

51:17

have sex.

51:18

>> Yeah. Yeah, yeah, exactly. So it doesn't

51:19

make sense. They've just misunderstood

51:20

the idea cuz it's not a psychological

51:22

theory.

51:23

Uh like the the genes I view

51:25

explanations the the evolutionary

51:27

explanations those are not motivations.

51:30

Those are just explanations for why we

51:31

have the the proximate

51:33

psychological drives that we do.

51:35

>> Not the ultimate.

51:36

>> Exactly.

51:36

>> Yeah, yeah. And you know, with the

51:39

the

51:40

what's it referred to as that theory of

51:42

the sexual not sexual value?

51:45

>> Um

51:45

>> of

51:47

uh

51:47

Darwin's daughter dying, what's the

51:50

>> Oh, yeah. Our reproductive value.

51:52

>> Reproductive value.

51:54

No one is how horrible to say to a

51:57

parent, "Well, it's actually

51:59

Mrs. Thompson, the reason that you're

52:01

grief Mrs. Darwin, the reason that your

52:02

grief is so high is because of the

52:04

reproductive value that your daughter

52:06

almost didn't cash in on."

52:08

Horrible, horrible thing to say. But it

52:10

doesn't need to

52:14

it doesn't need to be something that's

52:15

in your mind to like go how could you

52:17

claim that this mother is feeling that,

52:19

thinking that at the time and that's

52:21

contributing to a grief? No.

52:22

>> Yeah.

52:23

>> No, she just loves the kid. Yeah. It

52:24

would would be the same it would be the

52:26

same as going

52:27

why is it that people get depressed when

52:29

they're lonely? I'm not thinking about

52:31

potentially being kicked out of the

52:32

tribe. You go, "Well, yeah, like we're

52:35

in a modern environment. Why do you

52:37

think it is that depression and anxiety

52:39

correlate with isolation?"

52:40

>> Yeah. Yeah.

52:41

>> If it didn't matter. Well, it does

52:42

matter. It doesn't matter anymore, not

52:44

in the same sort of a way, but that

52:46

doesn't negate the fact that our system

52:49

is basically ancient programming living

52:51

in a modern world.

52:51

>> Exactly. And even though it does seem

52:54

bleak sometimes, I don't see that other

52:56

explanations, socio-cultural

52:57

explanations would be any less bleak,

52:59

you know? If they were telling me

53:01

>> I'm at the mercy of the memes and trends

53:04

of the modern world.

53:06

Some guy decides to start a new cool

53:10

movement somewhere and then that

53:11

completely sort of blows the wind of

53:13

whatever it is that I'm supposed to care

53:15

about.

53:15

>> Exactly. Or or you might say, "Okay, the

53:17

reason that you grieve this individual

53:19

is just because you've been socialized

53:20

to do so."

53:21

How's that any less any less bleak?

53:23

>> It's the same. This is why I think

53:24

there's a lot of similarities between

53:26

evolutionary psychology and behavioral

53:27

genetics that if you start to strip away

53:31

the science and the evidence underneath

53:33

it, what you end up with is an equally

53:36

or maybe even uglier perspective. No, if

53:40

if for instance, if you deny that there

53:41

are genetic influences on outcomes in

53:43

life,

53:44

>> Yeah.

53:44

>> what you're left with is this world

53:46

where

53:47

everybody did start off

53:50

equal.

53:52

And you are exclusively at the mercy

53:55

of the entire world.

53:56

>> And and injustices.

53:58

>> Yeah. Yeah. The the only reason that

54:00

this didn't come out is all on your

54:01

shoulders. All on your shoulders because

54:03

you didn't try hard enough or your

54:04

parents didn't try hard enough.

54:06

>> Yeah.

54:06

>> Horrible. Horrible.

54:07

>> And I guess so the thing is that

54:10

whatever hard truth

54:12

and they're not all hard either, but

54:13

whatever hard truths

54:14

ultimately we just got to um accept

54:16

what's true, whether we like it or not.

54:19

As you know, sometimes it is positive.

54:20

So so in natural selection has given us

54:22

a whole range of less than noble traits,

54:25

but it's also given us some really

54:26

lovely traits as well. Like the capacity

54:28

to fall in love and to love our children

54:30

and to love our friends.

54:31

>> Mhm.

54:31

>> You know, these are all great

54:32

things. Yeah. Yeah.

54:34

Exactly. To be able to do stuff.

54:35

>> Okay. So I guess one just to round out

54:37

the We haven't even got into the sex

54:38

differences yet, which is the meat and

54:40

potatoes of this, but I don't care. Um

54:44

Is it

54:46

Are humans unique in this regard because

54:49

we've got mutual mate choice mhm and

54:51

we've got biparental care.

54:54

So when we're talking about evolution of

54:56

sex differences, parental investment,

54:58

ability to produce children, volume of

55:00

children across a lifespan, Bateman's

55:01

principle, variance in reproductive

55:03

success,

55:06

but humans do seem to be somewhat of an

55:08

outlier in mammals and especially in the

55:11

animal kingdom.

55:12

>> Yeah.

55:14

Yeah.

55:14

>> What wrinkle does that throw in?

55:17

>> Uh well, yeah. So we are

55:19

So the question, are we unique? Sort of

55:21

yes and no.

55:22

So the way in which we are unique, we're

55:24

very unique among mammals. Like you say,

55:26

in the fact that we have high levels of

55:28

the tendency to pair bond, sort of fall

55:30

in love and form relatively durable pair

55:32

bonds and for both sexes rather than

55:34

just the females to invest in the young.

55:36

Um that is found in maybe 5

55:39

to 10% 10% at the most of mammals.

55:43

So the overwhelming trend among mammals

55:46

is that the females do all the

55:47

investment in the young and the males

55:49

are basically deadbeat dads.

55:51

In birds on the other hand, they

55:55

are an outlier family of animals among

55:57

animals in general and that around 90%

55:59

of birds form pair bonds and have

56:01

biparental care. And so there's a funny

56:03

thing I find this

56:05

just very very interesting is that

56:07

in our primary reproductive behavior,

56:09

humans are more like the average bird

56:11

than like the average mammal.

56:13

>> No way.

56:13

>> Yeah, that's cuz of our pair bonding and

56:15

our biparental tendencies.

56:18

>> Is a

56:20

reinforcement that the

56:22

parental investment is the key driver of

56:27

sex differences.

56:28

>> Yeah, exactly.

56:29

And and of the

56:30

difference in most birds hang on a

56:33

second. So

56:36

most birds are kind of like dinosaurs

56:38

and humans are closer to birds than they

56:40

are to most mammals, which means that

56:42

humans are kind of dinosaurs.

56:43

>> Yeah, so

56:45

that's great. It's great. Do you want

56:47

this or

56:47

>> Yes, I don't need that. I don't need

56:49

that.

56:49

>> No, no, you don't cuz I I agree. So we

56:51

we're mammals that are

56:53

more like dinosaurs in terms of having

56:55

the the primary reproductive arrangement

56:57

of of today's dinosaurs.

56:59

>> go.

56:59

>> It's wild, right?

57:00

>> Let's [ __ ] go.

57:01

>> And so yes, so we're an exception among

57:03

mammals in that respect.

57:05

A way in which we're not an exception

57:07

though

57:08

is that the the same evolutionary

57:09

principles that apply right across the

57:11

animal kingdom apply to us as well. So

57:13

the fact that sex differences emerge

57:15

from the maximum offspring number, the

57:18

the level of sex differences and

57:20

reproductive variance

57:22

that is true across the animal kingdom

57:24

and

57:26

the rules about that apply to us as well

57:28

and the fact that we have we do have a

57:31

sex difference and reproductive

57:32

variance. Men do have and have always

57:35

had greater reproductive variance than

57:37

women, but it's relatively low compared

57:39

to most mammals.

57:40

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57:43

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58:44

>> Isn't there an interesting inversion of

58:47

this in spiders where female spiders are

58:49

bigger than the males?

58:50

>> Uh actually, in most insects, it's that

58:53

way around. And actually, there are more

58:54

animals where the females are bigger

58:56

than where the males are bigger. Um but

58:59

that's not because of difference in

59:00

reproductive variance. It's because

59:03

um

59:04

in a lot of species, the main driver of

59:07

sexual dimorphism is just the number of

59:09

eggs that you can produce. And females

59:12

bigger females can produce more eggs.

59:14

There's a selection pressure on them to

59:15

get bigger and bigger and bigger.

59:16

They're typically bigger than the males.

59:17

The males

59:18

don't need to be much bigger.

59:19

>> need that much room for sperm.

59:20

>> Uh yeah, exactly. Yeah. So, so the um

59:24

gamete size difference, sperm are bigger

59:25

than eggs, is reflected in the

59:27

physiology of the species.

59:28

>> so [ __ ] cool. That's so cool.

59:30

>> we're the weirdos. We're so used to

59:32

males being bigger than females, but

59:34

actually mammals and other large

59:35

vertebrates we're the exception to the

59:37

rule. And the main reason for it is that

59:40

um

59:41

you still have the selection pressure on

59:43

the females for producing more eggs. So,

59:45

you know, they got certain size

59:48

sort of push for them to be bigger. They

59:50

got an even stronger push on the males

59:52

to be bigger as a result of intersexual

59:54

selection which is selection for the

59:55

ability to be able to beat each other up

59:57

basically. So, a lot of species bigger

60:00

males do better in in fighting than than

60:01

smaller ones. Males get bigger than the

60:04

males get bigger and sometimes they get

60:06

even bigger than the females.

60:07

>> All right, meat and potatoes. Getting

60:08

back to sex differences in sex drive.

60:11

>> Yeah.

60:11

>> What casual sex, sexual variety,

60:14

cheating, what's going on there?

60:16

>> Yeah. That's all about producing more

60:18

offspring. So,

60:20

um

60:21

a male that is equipped with those

60:24

motivations is going to be sort of like

60:25

a heat-seeking missile going out to seek

60:27

multiple

60:28

partners

60:30

and is therefore more likely to have

60:32

um

60:34

more offspring. If if he's successful

60:36

than that, then he would if he just sort

60:38

of sat back and wasn't wasn't interested

60:40

in multiple partners.

60:41

>> Right.

60:41

>> And and you do find that in many

60:43

species. Now, I don't think that the

60:44

difference is as big in our species as

60:47

in many others and I think that's a side

60:49

effect of the fact that because we have

60:50

biparental care

60:52

the level of reproductive variance among

60:54

males in our species is somewhat

60:55

constrained. Still greater than among

60:57

females, but because it's somewhat

60:59

constrained, sex differences in our

61:00

species have correspondingly come down

61:03

as well.

61:04

>> Mhm.

61:04

>> So, we still have all the traditional

61:06

sex differences that you find in in most

61:09

mammals and many other species, but

61:11

they're somewhat muted. So, you have the

61:12

the sexuality sex differences,

61:15

but they're somewhat muted. The

61:16

aggression differences, but they're

61:18

somewhat muted.

61:19

Um

61:20

Uh uh parenting differences is the main

61:23

source of this. So, that, you know, is

61:25

like uh the discrepancy in male

61:27

investment in kids versus female

61:29

investment has been massively reduced.

61:31

>> And that's the driver.

61:32

>> And that's the That's the driver of all

61:33

of

61:34

>> The biparental investment is the nerfing

61:37

the reason for the nerfing of all of the

61:38

others. Okay. Again, I I'm only going to

61:41

make this [ __ ] disclaimer once. Uh

61:43

but we said it we said it previously,

61:45

but I think it's worth saying again.

61:46

Just because we can explain using

61:49

evolutionary logic the reason why men

61:52

might be driven to cheat more than women

61:55

is not the same thing as excusing why it

61:57

happens.

61:57

>> No, not at all. Anymore than um a

62:00

sociocultural explanation would excuse

62:02

it.

62:02

That's a funny asymmetry. People seem to

62:04

think if you explain it in evolutionary

62:05

terms, that excuses it.

62:07

But there's no more reason to assume

62:09

that than to assume that if you explain

62:10

it in sociocultural terms, it excuses

62:12

it.

62:12

>> of those, you are um outsourcing the

62:16

culpability of the individual to

62:18

something else. In one, it's it's

62:20

evolution and ancestors, and in the

62:21

other, it's culture and influence.

62:23

>> Yeah, exactly. And all our behavior must

62:25

have causes, right? So, if we're going

62:27

to say that if we can identify the cause

62:29

of a behavior, and it's an evolutionary

62:31

cause, we're going to have to um

62:34

not hold people to blame. We're going to

62:36

have to say that for any cause. And

62:36

we're going to have to say that for all

62:37

behaviors, because all behaviors have

62:39

some kind of cause, whether or not we

62:40

know what it is. They have some kind of

62:41

>> Whether it's evolutionary or cultural.

62:44

>> Or or most likely a combination of both.

62:45

>> Yeah.

62:46

>> Yeah, yeah.

62:46

>> that basically we the institution of

62:48

holding people responsible we have to

62:50

keep that institution cuz it's useful,

62:52

regardless of the fact that of course

62:53

people's behavior has causes, and it's

62:55

not inexplicable.

62:57

>> That's so good. Uh Ashley Madison, the

62:59

cheating website, had 20 million active

63:01

male users.

63:02

>> Yeah.

63:02

>> And 1,492

63:04

active female users, despite women

63:06

getting free lifetime membership and men

63:08

having to pay.

63:09

>> Yeah, that's wild, right? That's a

63:10

massive difference.

63:11

>> 20 million

63:13

2,500.

63:15

>> It's probably similar to that ratio we

63:17

had up before that

63:18

>> It's probably it's almost exactly the

63:19

same, yeah.

63:20

>> Yeah. Um, what about men being more

63:21

turned on by visual triggers?

63:23

>> Uh, yeah, that's another another big sex

63:25

difference. Um,

63:26

both sexes

63:28

are to some degree, you know, both sexes

63:30

are interested in good looks in a mate,

63:31

but it's stronger in men than in women.

63:33

And the main reason for that is that the

63:36

traits that we consider good looking are

63:37

associated with with youthfulness and

63:39

fertility

63:40

for both sexes. Um, but men place a

63:43

greater weight on those traits because

63:45

because of menopause, basically. So, the

63:47

fact that um, that they place more

63:49

weight on youthfulness in a mate because

63:51

youthfulness is more closely linked to

63:53

fertility in women than men because of

63:55

the fact that women's fertility shuts

63:57

off about you know, two-thirds of the of

64:00

the way through the lifespan.

64:01

>> Mhm.

64:01

>> Yeah.

64:03

So, yeah. So, men are much more

64:04

interested in visual sexual stimuli, as

64:06

psychologists call it. It's part of the

64:08

explanation for the fact that um,

64:10

men are much more avid consumers of porn

64:13

than women are.

64:13

>> What is the reason that women are much

64:15

more avid consumers of romanticy and

64:18

romance novels than men?

64:21

>> It's it's an interesting one, isn't it?

64:22

So, that's the the standard sort of

64:24

differences in consumer preferences that

64:25

we hear about. Men are much more into

64:27

porn than women. Women are much more

64:28

into romance novels. Um,

64:32

now

64:33

Now, it is interesting. We've talked

64:35

about the fact that

64:36

men on average are more interested in

64:38

casual sex than women.

64:40

And people often assume that the flip

64:42

side of that is true as well, that women

64:43

are more interested in long-term

64:44

relationships than men.

64:46

But actually, that's not the case. Uh,

64:48

typically what we find is that men and

64:49

women are about as interested as as each

64:51

other in long-term committed

64:53

relationships, in falling in love, in

64:55

forming a committed bond with with a

64:57

partner.

64:57

>> So, you haven't reapportioned

65:00

the sex drive relationship drive desire

65:04

from short-term to long-term for women.

65:06

It's just that they don't have this

65:09

addition that men do of the one-night

65:11

stand.

65:12

>> Exactly right. But bearing that in mind

65:14

Yeah. Yeah. Yeah. Bearing that in mind

65:16

the the fact that women are so much more

65:18

interested in romance novels

65:21

is interesting

65:23

and sort of slightly unexpected. You you

65:25

might expect that both sexes would be

65:27

interested in them.

65:28

So so why is the case that women are

65:30

more interested in them? I guess

65:32

evolutionary speaking I don't know. They

65:34

they do seem to be despite the fact that

65:36

actually men do seem to be very invested

65:39

in long term relationships. A bunch of

65:40

papers have come out recently actually

65:42

saying that in in a lot of ways men are

65:44

kind of more more romantic than women.

65:47

They are more likely to suffer after a

65:48

breakup.

65:49

They fall in love more quickly. They say

65:51

I love you more soon. Exactly. Exactly.

65:53

So why aren't they more into romance

65:54

novels? I don't know. Maybe they're just

65:56

too busy with the with the porn. But

65:58

>> I

65:59

true.

66:00

Dude, I mean I sat next to a lady,

66:01

lovely lady, floral dress, slightly

66:03

slightly older lady on a flight a few

66:05

months ago and she had a iPad up resting

66:08

it and it was a big

66:10

big [ __ ] off font and she was reading

66:11

some

66:13

romancy thing and she was getting to the

66:15

good stuff.

66:16

And

66:17

I mean I couldn't I was like we have

66:19

legalized we have legalized women

66:21

reading porn in public and it's not I

66:25

mean I

66:26

it was she was having a she seemed to be

66:28

having a wonderful flight and I got my

66:32

When someone sits next to me and they've

66:33

got an iPad I think oh that's that's

66:35

great cuz it's going to or whatever the

66:36

Kindle or something it's going to

66:37

influence me to be not be a degenerate.

66:39

All I wanted to do was put a pair of

66:41

blinkers on. [laughter]

66:43

Focus on some brain slop stuff.

66:46

>> I've never I've never I've been meaning

66:48

for ages as a sort of anthropological

66:51

study to read

66:51

>> you want dude. Excuse it however you

66:53

want.

66:53

>> I haven't got round to doing it. I'm

66:54

going to do it. I'm going to read a

66:55

romance novel at some point. I have

66:57

heard that the general theme is

66:59

boy meets girl.

67:01

Boy is a bit of an [ __ ]

67:02

Girl tames boy and then they live

67:04

happily ever after. And they do involve

67:06

sex, right?

67:07

>> Well yeah, I mean, there is some sex in

67:09

them. At least there was in hers.

67:10

>> And the one that she was reading.

67:11

>> Yeah, exactly. Um I mean, there's some

67:13

interesting stuff, right? The number of

67:15

uh if you have a single a sexual fantasy

67:17

mental sexual fantasy, men will cycle

67:20

through, I think it's between four and

67:22

six different partners on average during

67:25

the

67:25

>> and six or 46?

67:27

>> Four and six, I think, but it depends

67:28

who you are. Yeah. Um whereas for women,

67:31

they tend to have fewer or maybe maybe

67:33

just one. Now,

67:35

I don't know, but I'm going to guess

67:36

that this would be reflected in romance

67:37

novels. Uh in fact, I know that this is

67:39

the case because I've been on the cover

67:41

of a bunch of them. And

67:44

during those novels, at least mo- I

67:46

would say on average most

67:47

>> Yeah.

67:48

>> the women

67:49

who are the protagonists aren't cycling

67:52

through multiple male suitors.

67:55

And if they are, even if you look at

67:57

movies, movies like The Notebook or

67:58

Titanic or whatever,

68:00

>> Yeah.

68:00

>> it tends to be a a pivot between two

68:03

different life directions.

68:04

>> Yeah.

68:05

>> Um it's not a kind of

68:07

ruthless conveyor belt that is closer to

68:10

sort of the the typical male fantasy. Uh

68:13

but yeah, the the men being more turned

68:15

on by visual triggers thing, I think

68:17

make makes makes an awful lot of sense.

68:19

I remember in uh Bad Men, Buss's book,

68:22

he talks about how there is an area of

68:24

the brain that exists in men that lights

68:27

up when they just see something that's

68:29

remotely sexual. A a

68:31

pair of rocks that look like boobs.

68:33

>> Putting a coin into a vending machine.

68:35

>> Putting a coin into a vending machine.

68:36

You're [ __ ] kidding me.

68:37

>> Oh, that was a joke. I'm not sure

68:39

there's actually research on that. But

68:40

that kind of thing wouldn't surprise me.

68:41

>> No, no, likewise.

68:42

>> There is something penetrative about

68:45

gambling. And it was on top of the

68:46

risk-taking on top

68:47

>> [snorts]

68:49

>> That's it. Um overperception bias as

68:51

well. Another

68:52

great example that I learned from uh Bad

68:54

Men by David.

68:55

>> Yeah, yeah, and that's um uh research by

68:57

him and and spearheaded by uh his former

69:00

student Martie Haselton. Yeah, the

69:02

sexual overperception bias.

69:04

Yeah, that refers to the fact that, uh,

69:07

men are more likely to

69:09

infer sexual interest on the part of a

69:11

woman

69:12

falsely.

69:13

Like like falsely infer it than women

69:15

are on the in the case of men. That's so

69:17

they're more likely to think, "Yeah,

69:17

she's into me." When actually they're

69:19

just, uh, in a little dream world, and

69:21

that's not actually true.

69:22

>> Men are more likely to think that women

69:24

are interested in them than they are,

69:27

and women are more likely to think that

69:29

men aren't interested in them when they

69:31

are. And I think that the data shows

69:35

the level of attraction that men assume

69:38

a woman has toward them is roughly equal

69:41

to the amount of attraction that the man

69:43

has toward the woman.

69:44

>> Right. Right. Yes. Right. Yeah. Exactly.

69:46

So, it seems to be maybe some kind of,

69:48

uh, projecting yourself into the world

69:50

kind of bias.

69:51

>> Yeah. So, it's a failure of cross-sex

69:53

mind reading, but it's also specifically

69:55

in a in an overperception bias here,

69:57

too. And this is smoke detector

69:59

principle. If you as a man had the

70:02

opportunity to potentially bag an

70:05

available and attractive woman, and

70:08

because you weren't sufficiently

70:09

vigilant in detecting it, because you

70:12

underplayed your potential success

70:13

likelihood as opposed to overplayed it,

70:15

>> Yeah.

70:16

>> you are going to have an error of

70:18

missing the opportunity as opposed to

70:19

the error of an awkward and clumsy

70:22

rejection.

70:22

>> Exactly.

70:23

>> And this, again, I [ __ ] I'm just going

70:25

to have to keep saying it,

70:27

does not excuse guys in the workplace

70:30

with the receptionist in the printing

70:31

room having an awkward fumble that she

70:33

absolutely didn't give off signals for.

70:35

>> Right.

70:36

>> However,

70:37

>> Yeah.

70:38

>> this does explain how you get to that

70:40

situation, or why it is that on average

70:44

men seem to be, unless you're the CEO of

70:47

Who is it? Procter & Gamble? Who is the

70:49

one that that Indian dude made the whole

70:50

[ __ ] um, uh, conspiracy theory about?

70:54

It went insanely viral. I bet your

70:56

fish-head Asian wife doesn't have these

70:58

cannons. Do you remember that?

71:00

>> Goldman

71:00

>> Goldman Sachs.

71:01

>> Right.

71:02

>> Goldman Sachs. Yasmin's mom works at

71:04

Goldman. We should get the inside scoop.

71:05

Um

71:07

Uh

71:08

Yeah, my get my guest book his mom is

71:09

like real real high up at uh at Goldman

71:12

Sachs. And then there was that huge Did

71:13

you see this thing kick off a couple of

71:14

months ago?

71:15

>> I don't

71:16

>> or two ago or so. Uh it just It was a a

71:18

guy me tooing a very very high up um

71:21

>> Right. Okay.

71:22

>> Exact.

71:23

>> Yeah, a bit of a role reversal.

71:25

>> at Goldman. But as soon as the proposed

71:28

accusations came out, there was no

71:31

>> I was

71:32

>> rare. It was like the most It would have

71:33

been incredibly extreme

71:35

>> Yeah.

71:36

>> for a guy to do.

71:37

>> Yeah, yeah, yeah.

71:38

>> And the fact that everybody intuited

71:40

like, "Really?"

71:41

>> Yeah.

71:43

>> Sex differences.

71:44

>> Yeah. Yeah, yeah.

71:45

>> All right, how do um how do gay men and

71:47

lesbians reveal what each sex wants?

71:49

>> They do so in a very interesting way,

71:51

which is that um

71:53

gay men have more casual sex than

71:56

straight men, and lesbians have less

71:58

casual sex than straight women.

72:00

Uh and the reason is that gay men and

72:02

lesbians don't have to compromise with

72:04

the typical sexual inclinations of the

72:06

other sex.

72:07

>> Mhm.

72:08

>> And they can there- therefore their

72:09

behavior is a like a clearer window onto

72:12

the the sexual motivations of men and

72:14

women in general.

72:15

>> Unsullied by the other sex.

72:17

>> Ex- exactly. Yeah. So, men are

72:18

compromising by having less cuz

72:20

basically women are thwarting their

72:22

plans.

72:22

>> Yeah.

72:23

>> Whereas

72:23

>> gatekeeper.

72:24

>> Ex- exactly. And uh yeah, whereas

72:27

straight women are compromising with men

72:28

and they'll be having more than more uh

72:30

casual sex than they would choose,

72:33

uh at least as revealed by yeah, lesbian

72:35

behavior.

72:35

>> There's a an interesting study that Rob

72:37

brought up, which was

72:39

uh inside of marriages

72:41

typically men say that they would like

72:44

to have twice as much sex as they are

72:45

having, and women say that they are

72:47

happy with the amount of sex that they

72:49

are having, which suggests that there is

72:50

a compromise going on.

72:52

>> Yeah.

72:52

>> Uh but that the compromise

72:54

>> The guy going, "Okay, fine." And she's

72:56

setting she's setting the level

72:58

>> more than he is.

72:59

Uh I do think that there's kind of a

73:03

And this is

73:05

I mean, like, are we really going to

73:07

say boo-hoo poor men not getting exactly

73:10

what they want? But I do think that it's

73:12

a a kind of compromise that might be

73:15

invisible to women because sexual

73:17

entitlement comes wrapped in some really

73:20

ugly

73:21

uh paper.

73:23

But there is an argument that you can

73:25

make there to say something like, "Look,

73:28

men are

73:31

doing a type of containment, a type of

73:32

desire containment there that isn't a

73:35

burden that is

73:36

>> Yeah.

73:36

>> that they are paying that isn't being

73:38

paid in the same way inside of a

73:41

marriage by the women. And huh, that's

73:43

we Well done. Well done for doing that

73:45

for for compromising what it is that you

73:46

want."

73:48

>> Yeah, indeed. And I guess

73:50

uh

73:50

>> [gasps]

73:51

>> I guess it's more it's more I guess that

73:54

um men are doing that more often. Like

73:56

like some women are doing the same

73:57

thing, no doubt, but it's just fewer

73:58

women than than men in that situation.

74:00

>> Yeah.

74:01

Uh

74:02

there's also more dead bedroom in

74:05

lesbian relationships.

74:06

>> I've heard that, yeah. There's what is

74:07

the um there's some some phrase like

74:09

that, isn't there? The there's been dead

74:11

bed or something. Yeah, yeah.

74:13

>> Okay, so

74:14

mate preferences

74:15

>> Yes.

74:15

>> When it comes to mate preferences

74:18

is it surprising how similar men and

74:21

women are when it comes to what they

74:22

look for in a partner?

74:24

>> [sighs]

74:24

>> Uh well, I guess it fits with the

74:26

generalization that in a lot of ways we

74:28

are

74:30

quite similar.

74:31

That we sex differences in our species

74:33

are not as huge as as in some others.

74:35

And I guess also just on a um everyday

74:37

level, when when you hear about some of

74:39

the sex differences that we have in

74:41

common they're all things that I think

74:42

it's it's obvious why we like them.

74:45

Uh people tend to be uh, and women tend

74:47

to want somebody, uh,

74:49

who's pretty intelligent and who's kind

74:52

and who loves them and who is attracted

74:55

to them and who is pretty good looking,

74:58

uh, and who's not, uh, like,

75:01

mentally unstable.

75:02

>> [snorts]

75:02

>> Uh, both sexes want that, not just men,

75:04

not just women. Um, there are some areas

75:07

though where you do find sex differences

75:09

in the strength of different

75:11

preferences. So, both sexes want someone

75:13

who's pretty good looking, for instance,

75:15

um, but on average in long-term

75:17

relationships, that's a bigger deal for

75:18

men than for women. Uh, men put more

75:20

weight on looks in a mate, um,

75:22

than in a long-term mate than than women

75:24

do for the reasons that I mentioned that

75:26

I mentioned earlier.

75:27

Uh, women on the other hand

75:30

tend to put more weight on resources and

75:33

status in a long-term mate, uh,

75:35

than men do.

75:37

Um, now now in neither of those cases is

75:39

that the it's not like looks are the

75:42

most important thing to most men. To

75:44

most men, it's it's important, but other

75:46

things are equally important or even

75:48

more important. Traits like kindness.

75:50

And likewise with women, um,

75:52

uh, resources and status in a mate,

75:54

they're they're important, but other

75:55

things, like, again, like kindness, uh,

75:57

tend to top the list of the things that

75:59

are most important for women.

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76:56

What's the evolutionary logic of

76:58

non-physical mate preferences like

77:00

wealth and status?

77:01

>> It all comes down, I think, to the fact

77:03

Well, there are two main explanations

77:04

for it. So, one is that it's part of our

77:07

evolution and other pair-bonding

77:08

biparental species.

77:09

So, a guy who is able to access

77:12

resources, you know,

77:14

bringing food,

77:16

and and also has good standing within

77:18

the group, that's going to be someone

77:19

who is better able to invest in the

77:22

young to co-rear the children.

77:24

And that's the explanation, I think,

77:26

most popular and most likely.

77:29

There is also an explanation, though,

77:30

that it's primarily

77:32

a human equivalent to the peacock's

77:34

tail.

77:35

So, that any any male that is capable of

77:37

bringing in resources and climbing the

77:39

status hierarchy, that's a male who's

77:41

got good genes and he's going to pass on

77:44

whatever traits enabled him to do that

77:46

to his male offspring. They're going to

77:47

be able to do the same. They're going to

77:48

attract more mates.

77:50

So, those are two main explanations.

77:52

I think it's quite possible that both of

77:53

them

77:54

shed light on it. That that is both a

77:57

a fitness indicator, but also is

77:58

actually useful in the context of

78:00

biparental care.

78:01

>> You mentioned this is to do with

78:04

long-term relationships.

78:05

>> Yeah.

78:06

>> How does this change when it comes to

78:07

short-term relationships? Do women place

78:09

more or closer to equal

78:12

uh weight on physical attractiveness in

78:15

men?

78:15

>> They do. They do, yeah. So, that sex

78:17

difference in good looks,

78:19

we sometimes hear it discussed as if

78:20

that's the difference between men and

78:21

women right across the board in every

78:23

context. But, actually does just apply

78:26

to long-term relationships. And when it

78:27

comes to low-commitment relationships,

78:30

um

78:31

then that that difference basically

78:32

evaporates. And women are at least as

78:35

interested in physical attractiveness in

78:38

a mate as men are. If not, you know,

78:40

some research suggesting maybe even more

78:41

interested in physical attractiveness.

78:43

>> Why would that be the case using

78:44

evolutionary logic?

78:45

>> Because well, the the best explanation

78:47

is that

78:49

in a short-term context, that's likely

78:51

to be

78:52

um

78:53

uh basically

78:55

there's going to be no further

78:56

investment, probably.

78:57

>> Huh.

78:58

>> Uh

78:58

likely no further investment. The only

79:00

investment is the genes that the male is

79:03

going to be passing on. And therefore

79:05

traits that are indicative of good genes

79:08

are much more important. They they take

79:10

center stage in terms of what what women

79:12

are looking for.

79:12

>> Mhm.

79:13

>> And um and and yeah, with the the basic

79:16

evolutionary logic that uh when you're

79:18

reproducing, you are finding somebody to

79:20

mix your genes with.

79:21

>> Mhm.

79:22

>> If you want your genes to go on in the

79:23

gene pool,

79:24

uh you got to mix them with

79:27

a good set of genes from from another

79:28

individual.

79:29

>> And what you want, if it's you have a a

79:32

short window to do this assessment in,

79:33

you want the most obvious representation

79:35

of those good genes as you can.

79:37

>> Exactly. And and physical looks are the

79:39

are that.

79:39

>> I'm sorry, your ability to do non-kin

79:43

altruism and reciprocal care and

79:46

kindness and your ambition over time.

79:48

It's like, yeah, great, but I don't have

79:49

time to assess that in the same way

79:52

>> Yeah, yeah.

79:53

>> as I do your status and your resources.

79:55

I suppose it's another one of the

79:56

reasons. And both men and women if this

79:58

sex difference didn't exist, if this

80:00

preference didn't exist, why would it be

80:02

the case that both men and women seem to

80:04

play into a caricature of that in an

80:06

attempt to get sexual access? Why is the

80:09

caricature of

80:11

dudes in Miami nightclubs wearing a

80:13

Rolex and having a fast car outside?

80:16

Well, that's a way to turn

80:20

wealth, ambition, and status buying a

80:24

VIP booth, status, into an immediately

80:28

transactable and obvious advertisement

80:31

in case there is some of this short-term

80:33

mating that's going on. Why is it that

80:34

women do more beautification when they

80:37

go on a night out, etc., etc.? Like

80:40

because you're playing into even if you

80:41

don't intend on doing it, it's always

80:43

nice to sort of be window shopped

80:45

against, I suppose.

80:46

>> Totally. And And it's interesting,

80:47

right? Cuz these are

80:48

human equivalents of the peacock's tail.

80:50

And whereas in in peacocks and and every

80:52

other species, basically their peacock's

80:54

tails

80:56

non-negotiable, that's just how they do

80:58

it. Whereas we, cuz we're a cultural

81:00

animal, we we always have our peacock's

81:01

tails. We always have our way of showing

81:03

off status and and whatever else,

81:05

resources.

81:06

Um

81:06

But it varies from culture to culture

81:08

and time to time.

81:09

>> Why isn't it that women aren't turning

81:10

up in a fast car with a an expensive

81:12

watch outside?

81:13

>> That's a very interesting question. And

81:15

I guess that I guess cuz that's more

81:17

indicative of of resources. And

81:19

resources are more important to women

81:21

than men.

81:22

Um I don't know. There was this um

81:25

the study where

81:27

uh this guy uh it wasn't study actually.

81:30

This guy in in his class, his

81:31

evolutionary psychology class, he was uh

81:33

showing a a photo of um this uh this

81:35

amazing Rolex. And um people saying how

81:37

how great it was and what what a great

81:39

uh way of attracting a mate that it

81:41

would be. And then he revealed the trick

81:43

was that actually it was a woman's Rolex

81:45

rather than a man's. And uh and and his

81:48

point was that actually this goes

81:50

both and in both directions more than we

81:52

kind of think it does.

81:53

>> Mhm.

81:54

>> Yeah.

81:55

>> Have you seen, I think it's Andrew

81:57

Thomas that did this study. Have you

81:58

seen the

82:01

preferences

82:03

that women state when it comes to sperm

82:07

donors?

82:08

>> Yeah.

82:08

>> So this is [ __ ] fascinating. Cuz

82:10

what's interesting is when you run a

82:12

kind of a split test or you're able to

82:14

separate out certain motivations from

82:18

uh a behavior that people are typical

82:20

with. So

82:22

in order for you to do the I want to

82:24

have kids with this person, typically

82:26

you need to go through courtship phase

82:28

and get to know them and or even if it's

82:30

a one-night stand, be seduced by them.

82:32

>> Yeah.

82:32

>> But that means that you're optimizing

82:34

for two different things. You're not

82:35

just optimizing for the genes that your

82:36

kid gets, you're also optimizing for the

82:40

expression of traits that make you want

82:44

to get into bed with somebody. But if

82:46

you get rid of the seduction side of

82:48

this, all you're optimizing for is what

82:50

do I want my kids to have from a trait

82:52

perspective.

82:53

>> Yeah.

82:53

>> And that difference of when you get rid

82:55

of the need to actually be attracted to

82:57

somebody, you can just optimize for what

83:00

do I want my kids to be like.

83:01

>> Yep.

83:02

>> Kind of fascinating.

83:03

>> It's really fascinating, right? And and

83:04

just the same mate preferences emerge in

83:06

that context as emerge in an actual uh

83:09

interaction, social interactions.

83:11

>> Mhm.

83:12

There's that Clark Hatfield study as

83:13

well, right? The on-street interview.

83:16

>> Yeah. Yeah, that's the one where um

83:19

uh basically, they got a bunch of

83:22

good-looking guys, good-looking gals to

83:24

go around a campus on a nice day, uh

83:27

walk up to random people on the campus

83:29

and just say, "Hello, how you doing? Um

83:31

I've noticed you around the place lately

83:33

and find you very attractive and I was

83:35

just wondering whether you wanted to

83:37

{dot} {dot} {dot}" and then they would

83:38

finish that sentence with one of three

83:40

options.

83:41

Option number one was I was wondering if

83:42

you wanted to go out with me tonight.

83:44

Option number two was I was wondering if

83:46

you wanted to come up to my room. And

83:48

option number three was I wondering

83:49

wondering if you wanted to go to bed

83:50

with me.

83:51

And they got men to ask women, women to

83:53

ask men. And for the um for the first

83:56

first question, the go out with me

83:58

question, there in in the first study

84:00

they did, there was basically no sex

84:02

difference. So it was about 50% 50/50

84:04

likelihood of saying yes in both cases.

84:07

Uh other replication studies have found

84:08

that

84:09

it's not a huge difference, but that

84:11

actually men are more likely to say yes

84:12

than women are.

84:13

But then with the other two questions,

84:15

the gaps get bigger and bigger. With

84:17

question number two,

84:18

which is would you want to come up to my

84:19

room, um

84:21

what was it? It was basically 60 In the

84:24

first study, about 67% of men said yes.

84:27

So, actually higher than the date rate.

84:31

>> [laughter]

84:31

>> More likely to go up to your room than I

84:33

am to go on a date with you.

84:33

>> Exactly.

84:34

>> Hilarious.

84:35

>> Uh, with women on the other hand,

84:37

it uh sank down to I believe it was 6%

84:40

said yes to that.

84:42

Uh, and then the gap was even bigger for

84:44

the last question, unsurprisingly. So,

84:46

would you go to bed with me? 75% of men

84:48

said yes

84:50

uh to that offer. So, at even higher

84:52

rate of men.

84:54

Whereas uh exactly 0% of women said yes

84:57

to the the kind offer. And not only

84:59

that, but actually the the manner of the

85:00

refusal differed between men and women.

85:03

So, uh the um 25% of men who said

85:06

thanks, but no thanks,

85:08

well, they kind of said that. They were

85:09

like polite about it. And uh some of

85:12

them said, "I'm really sorry. I'm I'm

85:13

meeting my fiance." or whatever. Bunch

85:15

of them even asked for a rain check,

85:16

apparently. They said, "I can't No, I'm

85:18

very busy. I'm meeting my fiance or or

85:19

whatever, but maybe we could postpone

85:21

the sex till later." Whereas uh none of

85:24

the women uh who were refusing were

85:26

polite about it at all. They were more

85:28

They were reacted more like, "Are you

85:30

crazy? Um How dare you ask me that?"

85:33

None of them um apologized and asked for

85:35

a rain check.

85:36

>> Why do you think that the manner of

85:39

refusal was so different?

85:41

>> Uh

85:42

I think that it reveals Well, two

85:44

reasons. So, one is there's this average

85:46

difference in interest in casual sex.

85:48

And of course men are more interested in

85:50

it. They are more likely to be flattered

85:53

by the request. Uh because men are much

85:55

more likely to approach women than vice

85:57

versa.

85:58

Traditionally, uh

86:00

women are much more likely to get sick

86:01

of it and and have to,

86:03

you know, uh push guys away.

86:06

Whereas guys are much It's a rarer event

86:07

for them, so they are more likely to be

86:09

flattered and

86:11

uh

86:11

and hugely grateful

86:13

on the rare occasions when it happens.

86:15

Uh the other thing though,

86:17

and the reason I think the difference is

86:18

quite so big is because it's it's not

86:20

just a reflection of sex differences and

86:23

interest in casual sex.

86:25

I think also in that situation

86:29

like like if a woman were to go off with

86:31

a guy that she doesn't know,

86:33

she's at a greater physical risk than if

86:35

a guy goes off with a woman that he

86:36

doesn't know.

86:37

So, the fact that the the difference was

86:39

massive is partly due to that as well.

86:42

>> Feels like a danger.

86:44

>> Yeah, exactly.

86:44

>> that emotional activation of hang on,

86:47

I'm going to go with this person who I

86:48

don't know, who is physically stronger

86:51

than me.

86:52

>> Yeah.

86:53

>> Explosion.

86:54

>> Exactly.

86:54

>> As opposed to there's just way less of a

86:56

It feels less of a physical threat to

86:58

me.

86:59

Those both make Those both both make

87:00

complete sense. There's a

87:02

an interesting wrinkle in this. Now, I'm

87:05

I'm going to guess that when they did

87:07

this, the Clark Hatfield study, they

87:08

must have done some sort of

87:11

rated assessment of the attractiveness

87:13

of the man or the men versus the women

87:16

to ensure that they were similarly high

87:18

in terms of physical attractiveness.

87:19

>> Yeah.

87:20

>> Right?

87:20

>> Yeah.

87:21

>> So,

87:22

something that I learned that I think is

87:24

absolutely [ __ ] hilarious is one of

87:26

the reasons why women, and I presume men

87:29

would be too if women approached men at

87:31

the same rate, one of the reasons why

87:33

women are sometimes quite rude when guys

87:36

come up to them is if they feel like

87:38

there's too big of a disparity in mate

87:39

value between them and the person doing

87:41

it. Because they go

87:43

>> Hang on.

87:44

You think you've got a you've got a

87:46

chance with me?

87:48

>> Yeah.

87:49

>> Oh my god. It's basically an insult.

87:51

It's essentially an insult. If you as a

87:53

woman think that you're an eight, nobody

87:56

thinks like this. It's not the Whatever

87:57

podcast.

87:59

You as a woman think that you're an

88:00

eight,

88:01

>> Yeah.

88:01

>> and a guy that you think is a three

88:04

comes up to you,

88:05

that is

88:06

>> Yeah.

88:07

>> it tests your own self-perception and

88:10

you go, [ __ ] maybe this is how the

88:12

world sees me."

88:13

>> Yeah. Do you not think I'm an eight as

88:15

well? Yeah.

88:16

>> Yeah, and I think that that

88:18

it feels like an insult. And the same

88:20

thing like, "Fucking no, get away

88:22

because rightly so, you're kind of

88:24

pissed that this thing happened.

88:25

>> I wonder if guys would feel the same in

88:28

reverse. See, my my hunch is that they

88:30

would be less likely to take it as a

88:32

huge insult if the guy felt he was an

88:34

eight and approached by a three.

88:36

>> Well, preference for casual sex.

88:38

>> Yeah.

88:39

>> rarer

88:41

approach in any case.

88:42

>> Indeed.

88:42

>> Um and because

88:45

women are less likely to approach, I

88:47

think that most guys would actually see

88:49

it as closer to, "You know what? I'm so

88:52

good looking that I got that girl to

88:55

overcome

88:57

>> Yeah.

88:57

>> non-approach predisposition.

88:59

>> Yeah. Yeah. Yeah.

89:00

>> That's the power of my attractiveness. I

89:02

think that's I think that's how a lot of

89:04

guys would take it and I think that's

89:05

why it is it is flattering. It's like

89:08

um somebody running for a bus fast that

89:10

they really, really want. You know,

89:12

like, "Well, they must really want this

89:13

bus cuz look at how fast they're going

89:15

as opposed to how slow they would

89:16

usually

89:16

>> And guys tend to be more overconfident

89:18

than women.

89:19

>> Mhm.

89:20

>> Yeah.

89:21

>> What about sex differences in

89:22

aggression?

89:23

>> Sex differences in aggression very, very

89:25

consistent especially for direct

89:28

aggression, so face-to-face aggression

89:30

and guys predominate. And a really

89:31

interesting fact about the aggression

89:33

sex difference is that it's it's for

89:36

like verbal aggression

89:38

it's there and it's significant. It's

89:40

fairly modest though. So, the effect

89:41

size might be about like a 0.5 effect

89:43

size, so half a standard deviation

89:45

between the mean for men and men and

89:46

women.

89:48

And maybe, you know, pluck two people at

89:49

random,

89:51

guy and a gal, two-thirds of the time

89:53

the guy's going to be higher in verbal

89:54

aggression.

89:55

But as you go further out to more and

89:57

more intense forms of aggression, the

89:59

size of the sex difference gets bigger

90:00

and bigger with every step. So, when you

90:02

go to low levels of physical aggression,

90:05

slapping, pushing, that kind of thing,

90:08

that you have a larger sex difference,

90:10

men doing it more. Then you get into

90:12

serious physical aggression, violent

90:14

crime,

90:15

it's much more men than women.

90:16

>> of who the victim is.

90:18

>> Independent of who the victim is. It is,

90:20

yeah.

90:21

Um

90:21

and then when you get to the extreme of

90:22

one-on-one

90:24

aggression, which is homicide, uh men

90:27

vastly predominate. So, across different

90:29

uh cultures, every single nation, uh

90:31

every data set I've I've ever seen, 90

90:33

plus percent of homicides are

90:35

perpetrated by men. Men are also they're

90:37

they're the majority of the victims as

90:38

well, and and almost all data sets that

90:41

I've seen.

90:42

Um but but yeah, the 90% plus

90:45

perpetrators, very very strong effect.

90:47

>> Yeah, uh men commit more than 90% of

90:49

homicides in every society on Earth

90:51

where data is available, and this gap is

90:52

remarkably invariant across cultures,

90:55

not just the absolute rates. In humans,

90:57

males commit 95% of homicides, and are

90:59

70 to 80% of homicide victims. In

91:02

chimpanzees, males commit 92% of

91:05

chimpicides, and are 73% of victims,

91:08

virtually identical numbers to humans.

91:10

>> It's wild, right? Yeah. Now, they are

91:11

more aggressive than us. I think some

91:13

sometimes people hear that and they

91:14

think that the claim is that we're just

91:16

as aggressive as chimps, but they are

91:18

more. But the size of the sex diff-

91:20

difference in lethal aggression is the

91:22

same, and the size of the the targets,

91:24

the sex difference in the targets of

91:25

aggression is about the same as well.

91:27

>> Why?

91:28

>> Uh that is a direct offshoot of the fact

91:31

that um

91:33

it it's the selection for

91:36

getting to be one of the few males that

91:38

has many offspring rather than the many

91:40

that have few of them.

91:42

And one of the ways that males do that

91:45

is they compete with each other

91:46

uh for status and resources,

91:50

uh which increase their mating

91:51

opportunities.

91:53

And so you get selection in many many

91:55

species, not just humans, selection for

91:57

greater aggression in the males, and and

91:59

particularly for greater male-male

92:01

aggression, which is why you have this

92:02

the skew toward

92:04

not only do other males more aggressive,

92:06

but the targets of their aggression tend

92:07

to be same-sex individuals as well.

92:09

For women and for female animals in

92:11

general, they are capable of aggression

92:14

in many species, but there's just less

92:16

of a selection pressure. It's less It's

92:17

less useful for them evolutionarily to

92:19

engage in same-sex

92:22

combat for status and resources

92:25

because of the fact that the the ceiling

92:26

offspring number that they have is

92:28

lower. So, they can't vastly increase

92:31

the number of offspring they have by

92:33

fighting each other and getting lots of

92:35

status, resources, and ultimately mates.

92:37

You know, that that won't boost the

92:38

number of offspring they have cuz the

92:39

ceiling is lower.

92:41

So, it's it's costly effort them. The

92:42

costs aren't worth the risks.

92:44

>> Yeah.

92:45

Plus more fragile.

92:46

>> Yeah.

92:48

>> More easy more easily killed. Like just

92:50

generally.

92:51

>> Yeah, um but that's that's possibly just

92:53

an offshoot of the fact that there's

92:54

been less selection on them for

92:56

aggression. So, there's been more more

92:57

of that in males.

92:58

>> up the defenses in order to be able

93:00

Exactly. That's why we have a brow

93:01

ridge. That's why we've got bigger

93:02

hands.

93:03

>> Exactly. Yeah.

93:05

>> So, what's interesting, again talking to

93:06

Andrew Thomas about this, he said

93:10

why is it the case if

93:12

violence is

93:15

rightly so such a huge fear that most

93:17

women have that lots of women are

93:19

attracted to powerful men who are able

93:21

to be violent?

93:23

And

93:24

Andrew's theory is that

93:27

it's

93:29

a perspective that

93:32

a guy who is violent is able to turn it

93:35

on and turn it off in service of the

93:38

family unit

93:39

>> Yeah.

93:39

>> as opposed to violence being a trait

93:41

that just is more global across the

93:43

board. I think Is Andrew doing Krav

93:46

Maga? He's into it martial artsy type

93:48

stuff, I swear it.

93:49

>> so, yeah.

93:49

>> And uh he was explaining

93:52

how many Krav Maga, this Israeli martial

93:56

arts,

93:57

very lethal, supposedly, martial art.

94:00

Um, a lot of the guys that he trained

94:01

with, unbelievably lethal physically.

94:05

>> Yeah.

94:06

>> And a lot of the training was them

94:08

learning to turn it off, not turn it on.

94:10

>> Interesting.

94:11

>> Yeah.

94:12

>> that that

94:14

the number of men who are physically

94:17

imposing and might seem like somebody

94:20

that would be really great to be able to

94:21

protect the family unit

94:22

>> Yeah.

94:23

>> that have done the work to be able to

94:25

learn to turn that off

94:26

>> Yeah.

94:27

>> to the trigger that makes this person

94:29

likely to be uh flash-in-the-pan, you

94:32

don't want to [ __ ] with me, bro, guy.

94:36

At least non-zero-ly

94:38

are also going to have some triggers

94:40

that will be more sensitive when it

94:42

comes to interpersonal communication and

94:45

domestic disputes

94:46

>> Yeah.

94:47

>> and things around the house.

94:48

>> Indeed. It's It's

94:49

interesting, isn't it? Having uh

94:52

>> [sighs]

94:52

>> that kind of temperament, violent

94:53

temperament, and the capacity for

94:55

physical aggression is a It's really a

94:58

mixed blessing for women, you know? It's

95:00

great if the guy's going to protect

95:01

them, protect the family.

95:03

But it's not so great because he can

95:04

potentially turn that against them as

95:06

well. And so, you know, you get the

95:07

evaluation of those traits.

95:10

It can increase attract- Like aggression

95:12

itself, I don't think increases

95:14

attractiveness. Protectiveness does.

95:16

>> Yeah.

95:16

>> Uh

95:18

Muscularity and the like can increase

95:19

attraction somewhat, but because it's a

95:21

mixed blessing, I think women are also

95:22

interested in the guy's character.

95:24

>> Muscularity seems

95:25

>> pretty reliable at improving

95:26

attractiveness.

95:26

>> Yeah.

95:27

>> Yeah, and it's the probably the most

95:29

easily modifiable thing that guys can

95:31

do.

95:31

>> Right. Yeah, yeah.

95:32

>> I think In fact, I think William said

95:34

that this is exactly the case cuz he's

95:35

he's looking at his incel stuff.

95:37

>> Yeah.

95:37

>> Did you see Now, I

95:39

broscience this. I put the I put the

95:42

the captain of broscience hat on

95:44

when Mack and came through last time,

95:46

and I said, "I'm pretty sure that I've

95:48

seen a study that says

95:50

a woman would be

95:53

would lose more attraction if her

95:56

partner didn't protect her during a

95:59

physical altercation than if he cheated

96:01

on her.

96:02

>> Right.

96:02

>> And then the guys went and replicated it

96:04

and

96:06

>> And you were right?

96:07

>> I was right.

96:07

>> Excellent.

96:08

>> I mean it wasn't my original insight

96:10

because I found it in a study that I

96:11

couldn't discover again. But this this

96:13

the same insight being true, the

96:14

protectiveness, the ability to protect.

96:17

In fact, do you know what it is? It was

96:18

the willingness to protect.

96:20

>> Yes.

96:20

>> Wasn't even the ability to protect. Yes.

96:22

But I suppose willingness to protect

96:24

is the most important part of

96:26

protectiveness cuz you can be the

96:27

biggest guy in the world, but if you're

96:28

not prepared to step in between your

96:30

misses and this potential assailant,

96:32

doesn't mean anything.

96:32

>> might as well not be.

96:33

>> Exactly.

96:34

>> Yeah, exactly.

96:35

>> I wonder, do you know what it is? I

96:36

wonder if this would be This is another

96:37

new skew that the guy should do.

96:39

>> Yeah.

96:39

>> Um is it more or less attractive

96:43

for a guy who could protect you to not

96:46

than a guy who couldn't protect you to

96:48

not?

96:49

>> That's an interesting one.

96:51

>> You know what I mean?

96:52

I need to separate it out here.

96:53

>> But in terms of the character trait, it

96:55

would be less attractive

96:57

>> Yeah.

96:57

>> for the guy who could protect you but

96:58

doesn't, right?

96:59

>> Mhm.

96:59

>> That shows uh a worse character.

97:01

>> Yeah.

97:02

>> Um

97:03

but I guess it does also matter

97:06

>> I just need to train him to be able to

97:08

in the future.

97:09

>> There is that, yeah.

97:10

>> Yeah. Although I mean I need to teach

97:11

him to be able to

97:14

like be strong enough to be protective

97:16

or need to be able to change his

97:17

character in order for him to use his

97:19

strength of potential protectiveness.

97:21

>> Yeah.

97:22

Yeah, but if he's definitely not going

97:23

to do that, that's going to be very

97:25

off-putting and you might just want the

97:26

person who is not quite so good at

97:27

protecting but is willing to do it.

97:29

>> Mhm.

97:31

>> If they if they can do it.

97:32

>> That's what I mean.

97:33

>> There's trade-offs though, right?

97:34

>> Why is it Why is it that women care more

97:35

about a man's height than women do? Is

97:37

it playing to this?

97:39

>> Uh I think probably yes. I think it must

97:40

be. I think it's the within a cluster of

97:42

traits that determine protectiveness and

97:44

the like. Muscularity, height, they

97:46

they're all part of the same package.

97:48

>> Mhm.

97:49

>> And it's interesting, right? That does

97:50

seem to be really, really high on the

97:51

list for women. Seems to be very

97:53

important.

97:53

>> You know why this makes the most sense?

97:57

And it's the probably

98:01

Yeah, I would I would go as far as to

98:03

say it's the most commonly cited "Well,

98:06

you bitches" internet kind of rebuttal

98:09

that guys have around I think uh Tinder

98:12

released as an April Fools' joke about

98:15

10 years ago mhm a height filter

98:18

>> Mhm.

98:18

>> that people could use. Like, "Wouldn't

98:19

it be funny if we gave you a height

98:20

filter?"

98:21

>> Yeah.

98:21

>> That's now an actual feature.

98:22

>> actual feature, right?

98:23

>> Yeah. Um and many women don't need to

98:27

date or don't want to date men that are

98:29

under 6 ft. Uh especially not men when

98:32

you get sort of like 5'7, 5'6, 5'5, like

98:35

very few would. And I had this insight,

98:37

the tall girl problem, uh and it was

98:39

born out of a friend whose sister is 5'

98:44

2. Uh sorry, her sister's 5'11. Um so,

98:47

if she wants to wear heels on her

98:48

wedding day, she's like a professional

98:49

athlete.

98:50

>> Yeah.

98:51

>> And they were going around the

98:52

supermarket and she saw this guy who was

98:55

like 6'5, like tall dude, like you. Tall

98:58

guy. And she sort of nudges her sister

99:01

and says, like, "I got to go up I might

99:03

go up and talk to him." And

99:05

they round the corner and they say see

99:07

him with this 5'2 Latina bombshell and

99:12

she kicks off at her sister quietly

99:15

and says, like, "This [ __ ] [ __ ]

99:17

Like, she could date 5' 5'5, 5'6, 5'7.

99:20

Why do you have to take a guy that's a

99:21

foot and a half taller than her?" But

99:23

the point here is

99:25

if we're talking about protectiveness as

99:28

the driver,

99:29

>> Yeah.

99:30

>> the fact that your chick is a 5'2

99:32

Latina, not a 5'11 American,

99:37

does not make your height any more or

99:40

less useful when it comes to

99:41

protectiveness. this. I don't need to

99:42

protect you less just because you're

99:44

smaller.

99:45

>> Yeah. Yeah. Yeah.

99:46

Indeed.

99:46

>> You know?

99:47

And this is why I think you don't see

99:50

much of a height compensation effect.

99:54

>> Yeah.

99:54

>> Other than

99:55

I guess if you're 5'2, you can't really

99:57

tell the difference. I don't Above

99:59

probably 5'10, you it's all just up

100:01

there.

100:02

>> Yeah.

100:02

>> It's just like it's all up there, you

100:04

know?

100:04

>> In the clouds, exactly. Yeah, my cousins

100:06

are my cousins are quite tall cuz I'm

100:08

I'm from a tall family and I know they

100:09

were complaining often. I remember them

100:11

complaining, female cousins,

100:13

about guys, taller guys, dating much

100:15

shorter women. But guess how short Guess

100:17

how tall my wife is. She's 5'4.

100:20

So

100:21

>> [laughter]

100:22

>> These bloody [ __ ] how dare they take

100:24

the tall men?

100:26

All right, sex differences in stalking.

100:27

What about that?

100:28

>> Uh women do a lot more of it.

100:31

Joke. Men do a lot more of it.

100:33

>> [laughter]

100:35

>> Uh men do a lot more of it. It's I think

100:36

it's just um an example of the the fact

100:39

that men

100:40

are more, you know, proactive seeking

100:42

out mates, seeking out multiple mates,

100:45

uh and stalking is the subcategory of

100:46

that when it gets into extremely

100:48

inappropriate examples of that.

100:50

Um and also I guess uh yeah, it's also

100:53

it's not just mate seeking, it's also

100:56

when people get fixated on somebody.

100:58

>> Yeah.

101:00

>> And both sexes can do that. They can get

101:01

fixated on somebody.

101:02

>> Sort of limerence type thing.

101:03

>> Yeah. Yeah. Exactly, limerence. Yeah.

101:05

It's a sort of falling in love except

101:06

that

101:07

we call it limerence cuz it's in an

101:09

inappropriate circumstance, i.e.,

101:11

circumstance where the other person does

101:12

not reciprocate. Both sexes can do it,

101:15

but

101:16

men are more prone to aggression and

101:18

risk taking and just bad behavior. And

101:20

so they're more likely to do more of the

101:21

those kind of behaviors in the context

101:23

of

101:24

uh limerence and being fixated on

101:27

somebody.

101:27

>> surveillance, surveilling of a partner,

101:31

checking in because I could see two two

101:33

reasons why either side might be doing

101:36

it more.

101:37

Male parental uncertainty, which we

101:39

haven't talked about yet, but is super

101:41

important. No woman has ever given birth

101:43

to a child and wondered whether it was

101:44

hers, but many men have looked at maybe

101:48

even all men to some degree. In fact, it

101:50

would be evolutionary

101:51

useful for you the first time that you

101:53

look at your kid to be so beautiful and

101:56

those my eyes?

101:56

>> Yeah.

101:57

>> Yeah, I think they're my eyes.

101:59

But given the fact that you have high

102:01

male parental uncertainty

102:03

>> Yeah.

102:03

>> because you've got concealed ovulation

102:05

and you don't have the same kind of sort

102:06

of harem hermetically sealed sphere when

102:10

it comes to men and women human men and

102:12

women. Um

102:15

stalking I could see a surveillance

102:18

surveillance behavior

102:19

mate guard could be a a part of mate

102:21

guarding

102:22

>> Totally.

102:22

>> Uh

102:23

to try and counteract that, but I could

102:25

also see how it would be useful for

102:27

women

102:29

in order to ensure that their partner

102:31

doesn't leave them high and dry because

102:33

there's more of a dependency especially

102:35

if we are going to have a kid or do have

102:38

a kid.

102:38

>> Yeah.

102:38

>> Um the the man doesn't need the woman as

102:42

much for survival.

102:43

Uh but the woman doesn't need to check

102:45

on the man as much to ensure

102:48

female parental uncertainty.

102:50

>> Yeah, that's exactly right. And both

102:51

sexes do get jealous.

102:54

Uh paternity uncertainty or you know,

102:57

parental uncertainty is uniquely an

102:59

issue for guys.

103:00

But you're absolutely right that there

103:02

is uh the danger of desertion for women.

103:05

And so for different reasons both sexes

103:07

have evolved to be to be jealous and

103:08

prone to jealousy. And one way that that

103:10

manifests so so jealousy drives mate

103:12

guarding behavior and one subset of mate

103:15

guarding behavior is surveilling and

103:17

just keeping keeping an eye on what the

103:18

person is up to and are they getting on

103:20

too well with that good looking next

103:22

door neighbor or the good looking guy or

103:24

or woman at work.

103:26

Um and then if you take that to an

103:28

extreme, that's where it becomes

103:29

surveilling behavior.

103:31

Isn't it interesting that you have a an

103:34

extreme insight of men about other men

103:38

and an extreme insight of women about

103:40

other women, but the failure of

103:41

cross-sex mind reading still occurs even

103:44

when you add other individuals in? So,

103:46

when we're talking about surveillance,

103:49

jealousy, mate guarding, etc.

103:52

The I mean

103:53

William put these stats up recently

103:55

about how what the percentage is of men

103:58

who would sleep with a female friend.

104:00

>> Mhm.

104:00

>> It's huge. [snorts]

104:02

It's like 50% of relationships used to

104:05

be friendships.

104:06

>> Yeah, yeah, yeah.

104:08

>> Uh so, that's like 50%.

104:10

>> Yeah.

104:11

>> Right, that's a huge amount and

104:15

I think uh

104:16

when you put all of this together, you

104:18

end up with a world where

104:20

inside of a relationship men are trying

104:22

to explain to women what they see in

104:25

other men that are around them and women

104:27

are trying to explain to men what they

104:28

see in the other women that are around

104:30

them. And just because it's not them

104:32

talking about themselves doesn't mean

104:34

that they can explain it. A woman is no

104:36

better at understanding another man than

104:39

her own husband and a man is no better

104:40

at understanding another woman than his

104:42

own wife in these sort of

104:45

more subtle hard to detect motivations.

104:48

>> Did you say what?

104:49

Um

104:50

that those data that that William was

104:52

talking about

104:53

so so yes so like a lot of guys would be

104:56

interested in sleeping with friends that

104:58

they have, right? But it's not true in

104:59

the other direction like fewer

105:01

uh some women but fewer of them

105:03

are particularly interested in sleeping

105:05

with

105:06

male friends that they have.

105:07

>> Mhm.

105:09

>> But because of the sexual over

105:10

perception bias, the male friends in

105:11

question would probably assume

105:13

otherwise.

105:14

>> Mhm.

105:14

Mhm.

105:15

>> What's the sex difference on sexual

105:17

violence?

105:18

>> Sexual violence men are much more likely

105:20

to do it

105:22

and that is just partly just an offshoot

105:24

of the fact that men are more aggressive

105:25

uh, aggressive.

105:26

>> Mhm.

105:27

>> Um, yeah, and

105:29

the numbers are pretty big. So, sexual

105:31

violence, um,

105:33

is much more often perpetrated by men

105:35

than by women. It's not It doesn't only

105:37

go in in the one direction, though, but

105:38

it is just much more common for men to

105:40

do it.

105:40

>> have any idea what the numbers are?

105:42

>> Uh, I probably do. Let me have a think.

105:44

Um,

105:46

Okay, so I do have a few numbers coming

105:47

to mind, but I'm not actually sure if

105:48

they're the right numbers. So, I'm going

105:50

to I'm going to again do the annoying

105:51

academic thing.

105:52

>> Directionally correct, specifically

105:54

vague.

105:54

>> in vague. So, directionally correct, and

105:56

and I'll you know, I'll go to say that

105:58

it is a big difference.

105:59

>> Yeah.

106:00

>> Um,

106:02

I think the effect size might be

106:03

something like,

106:04

uh,

106:06

two.

106:07

So, like two standard deviations between

106:09

the mean for men and women for the

106:11

extreme forms of, um, of sexual violence

106:14

and sexual assault and harassment and

106:15

that kind of like.

106:16

>> Yeah.

106:16

>> Yeah. Yeah, another situation where it's

106:18

kind of hard to talk about evolutionary

106:20

explanations for bad behavior, like the

106:22

worst behavior, right? Between this and

106:24

homicide without sounding like you're

106:25

excusing it as natural, but

106:27

>> Exactly, but again, natural doesn't mean

106:28

good.

106:28

>> Yeah.

106:29

>> I mean, you know, you can explain bad

106:30

stuff without saying that actually the

106:32

bad stuff is not good stuff. You It's

106:34

still,

106:35

uh, bad even if it has an evolutionary

106:36

explanation.

106:37

>> Yeah. Yeah. It's that, uh,

106:39

analysis is not justification.

106:41

>> Yeah. Yeah, exactly.

106:42

>> Uh, you know, that's a [ __ ] Hasan

106:44

[ __ ] quote. That's like a Hasan [ __ ]

106:46

quote.

106:46

>> Is that Is that right?

106:47

>> Yeah, he got canceled He got canceled

106:48

for talking about some stuff to do with

106:49

the right wing.

106:50

That is an absolute slammer of a line,

106:52

analysis is not justification.

106:53

>> Yeah.

106:54

>> Uh, but you know, we can see sexual

106:56

violence if men are

107:01

able to

107:04

procreate without having to do any

107:05

investment,

107:07

the ultimate form of that is to not even

107:09

have to ask for consent as well.

107:10

>> Yeah. Yeah, indeed. And, you know, it

107:13

has been argued that

107:15

the tendency

107:17

in some men to do that, to take that

107:18

path, does have evolutionary roots.

107:21

Um

107:22

And I guess really you just have to have

107:24

two things. You have to have

107:25

men's greater interest in

107:28

sexual variety and casual sex.

107:31

>> Mhm.

107:31

>> Uh coupled with their willingness to use

107:34

violence in certain uh

107:37

you know, certain situations.

107:39

So, because men are more interested in

107:40

casual sex, it's going to be not

107:42

uncommon for a man to want to have sex

107:43

with the woman who doesn't want to do

107:45

so.

107:45

>> Yep.

107:46

>> And because men are willing to use

107:47

violence sometimes to get what they

107:49

want.

107:49

>> Mhm.

107:51

>> Every now and then you are going to have

107:52

that situation where those those factors

107:54

add up and the man's going to try to

107:56

force the woman to have sex. That's not

107:58

just found in our species.

108:00

Uh males in in many species try to

108:02

coerce

108:03

women females rather in into sex.

108:06

>> Mhm.

108:06

>> It happens in our species.

108:08

It's also been argued though that

108:09

because uh preserving female choice is

108:12

so important

108:13

across the animal kingdom including in

108:14

our own species, so important to women

108:17

uh that that helps explain why sexual

108:20

coercion and rape is so upsetting to

108:23

women. You know, it's not that we

108:24

haven't just been socialized for it to

108:26

be upsetting to women. It's very very

108:28

deep in uh females' nature to be upset

108:30

by it because it compromises female

108:32

choice.

108:33

>> Oh, that's interesting.

108:35

>> Yeah.

108:36

>> That's interesting because

108:37

not not only not only is it [ __ ]

108:39

heinous, but you know

108:44

that because somebody because this male

108:47

committed that behavior

108:50

they've had to disregard the entire

108:53

female-wide

108:55

value that is supposed to be

108:58

uh universally uh uh

109:01

protected.

109:02

>> Well, right. Well, I mean, she's evolved

109:04

this tendency to be choosier

109:05

>> Mhm.

109:05

>> about who mates than men have. And she's

109:08

got these mate choice criteria and uh

109:11

that that's because she can have fewer

109:12

offspring and therefore each offspring

109:14

counts for more. So, she's got to be uh

109:16

wiser in every mating decision that she

109:18

makes. And this other male has come

109:20

along

109:21

and has just taken that away from her.

109:24

Taken that choice away from her.

109:26

Uh and has gone against the the so that

109:29

she's evolved to be more to be choosy

109:31

and and

109:32

gone against that.

109:33

>> I I I think that the

109:35

inability of men

109:37

to fully understand what fear of sexual

109:41

violence must feel like

109:42

>> Yeah.

109:44

>> is one of the reasons why any guy

109:49

who's seemingly sort of flippant or

109:51

callous

109:52

about any type of male-female

109:54

aggression, even non-sexual violence

109:56

>> Yeah, yeah.

109:57

>> is treated with a very strong antibody

110:02

response from from women.

110:04

>> Indeed, yeah. And guys do

110:06

you know, guys the idea of going to

110:08

prison and being raped in prison

110:09

obviously is is terrifying to a lot of

110:11

guys. So, they they do get it to some

110:13

degree. But,

110:15

and I guess particularly when it comes

110:17

to the sort of lower level stuff, like

110:18

like I think in Buss's Batman book, he

110:21

talks about research suggesting that men

110:23

often will underestimate just how

110:24

upsetting it is to women to be to be

110:26

sexually harassed and to have stuff done

110:28

to them against their will. And that's

110:30

another very good example of a and a

110:32

very important example of a failure of

110:34

cross-sex mind reading where the guy

110:36

just doesn't really appreciate just

110:37

quite how upsetting it is for that to

110:39

happen because if it would have happened

110:41

in reverse if if it would have happened

110:42

to him

110:43

he might not like it, but he on average

110:45

is not going to be quite so upset by it.

110:47

>> It's interesting that people who denied

110:49

sex differences seem to sort of not want

110:52

to argue for parity that if women

110:55

weren't so held back, they'd want to

110:56

commit just as much violent crime as men

110:58

do.

110:58

>> Indeed, yeah, indeed.

110:59

>> There's a directionality

111:01

to

111:02

the way that this analysis happens.

111:05

>> Yeah.

111:05

>> They're Why is it not that we've got

111:07

50/50 in terms of homicides? Like that

111:10

we should do.

111:10

>> Yeah, yeah, yeah. be free to commit as

111:12

just as many killings as they want to.

111:14

>> Yeah, and they've just been kept down

111:15

the fact that they're not doing it.

111:16

Yeah.

111:17

>> Yeah, the patriarchy, the damn

111:18

patriarchy.

111:19

>> And I guess the thing is that they and

111:20

then we all would want it all to come

111:22

down.

111:23

>> Mhm.

111:23

>> And uh it's a good example of um how

111:25

equality is not necessarily a good thing

111:27

in itself.

111:28

So So men are more aggressive than

111:30

women. The solution to that is So So we

111:33

want to kind of um

111:35

reduce male violence.

111:38

And in the process of doing that, we're

111:39

going to reduce the size of the sex

111:40

difference.

111:41

>> Mhm.

111:41

>> And And that's a that's a very good

111:43

thing to do, but the reason it's a good

111:46

thing to do is not cuz there's anything

111:47

inherently wrong with the sex

111:48

difference. It's because violence is

111:50

bad. It's not cuz the sex difference is

111:51

bad. It's cuz violence is bad. And we

111:53

know that because another way to get rid

111:54

of that sex difference and violence

111:56

would be to increase the female level of

111:57

violence.

111:58

>> [laughter]

111:59

>> And that would be

112:01

big thumbs down on that, right? That is

112:02

going to going to make the world a a

112:03

worse place rather than a better place.

112:05

>> [laughter]

112:08

>> Point is, yeah, equality is not a good

112:09

thing in itself.

112:10

>> itself. Yeah, yeah, yeah, yeah. Okay,

112:11

what about the differences in parenting?

112:13

>> Differences in parenting, that's quite a

112:14

controversial one, actually. Um that's

112:16

one of the ones that people like

112:18

least. The aggression sex difference, no

112:20

worries about the parenting sex

112:21

difference, people aren't so keen on.

112:23

And that refers to the fact that

112:26

in every culture, again, where we have

112:28

good data, women do more of the direct

112:30

parenting uh than than men do.

112:33

Uh and they invest more in the young.

112:36

They do more parental care. Um men in

112:38

every culture do more than your average

112:41

male chimpanzee or male walrus.

112:43

But they they do less than women in

112:45

every single culture.

112:46

And it doesn't seem to just be because

112:48

men are forcing women to do it. They do

112:50

do seem to be average differences in

112:51

terms of parental inclinations, with

112:53

women being more interested in doing it

112:55

uh than men are on on on average.

112:58

And

112:59

yeah, I guess the reason that it's

113:01

controversial is that there's a concern

113:03

that people are saying making up an

113:05

excuse why you should do it. So So like

113:07

the guys are using it as an excuse. It's

113:09

just It's just natural that you should

113:11

want to be changing the nappies and

113:13

doing these things that coincidentally I

113:15

would rather not have to do.

113:16

>> Mhm.

113:16

>> Um so that that I think is the concern.

113:19

But in a way it's ironic. So,

113:22

the fact that people consider it to be

113:24

kind of an insult to say that on average

113:25

women are more interested in parenting

113:27

than men,

113:28

um

113:30

implies a negative valuation of

113:33

parenting or doing more of the

113:34

parenting. Because if it didn't imply a

113:36

negative valuation of that, it would not

113:38

be an insult to say that women on

113:40

average are more

113:41

>> one of my most

113:42

one of my one of the best ideas that I

113:44

think I've come up with over the last

113:45

couple of years, which was the the soft

113:47

signal of male expectations.

113:49

>> Yeah, yeah, yeah. I think you mentioned

113:50

that in when we met the first time,

113:52

right? Was it?

113:52

>> Yeah, yeah. Soft the soft bigotry of

113:54

male expectations. It's

113:56

It's like as if we treat the the male

113:58

standard, what whatever men do, that's

113:59

the standard of what what is right. And

114:01

if women do it less, that's a bad thing

114:02

and we should make them more like males.

114:04

>> Mhm.

114:05

>> But not so much not so much the reverse.

114:07

Um yeah, and it is very ironic cuz

114:10

>> It's really misogynistic worldview.

114:12

>> It is, really, isn't it? It is. It is.

114:13

And so to if we're taking a negative

114:15

valuation of uh our parenting,

114:19

which is what we are implicitly doing if

114:20

we say that it's an insult to say women

114:22

are more parental. We're implicitly

114:25

uh

114:26

if it is actually true that women on

114:28

average are more parental by nature,

114:29

then we're taking [snorts] a negative

114:30

valuation of a more female typical trait

114:33

and that is really sexist.

114:35

>> Yeah. Yeah. What's the kibbutz

114:37

experiment?

114:38

>> Uh the kibbutz experiment So, there

114:39

there there are um

114:41

the there were these kibbutzim that they

114:43

had in in uh Israel. So, these were

114:45

these communes

114:47

uh

114:47

like highly egalitarian uh communes

114:50

where they wanted to get rid of all

114:52

traditional kind of structures including

114:53

traditional male-female ways where the

114:56

woman is expected to do all of the child

114:59

care and the guys out of in the public

115:02

doing the public stuff. She's at home

115:03

doing the private stuff.

115:05

So, what they did was they would um they

115:08

would get all the kids

115:09

and they would house them in communal

115:12

houses. And then they would have

115:13

dedicated adults within the group who'd

115:15

be the primary primarily in charge of

115:17

looking after all the kids. So, the kids

115:19

weren't living under the the roof of

115:22

their biological parents. They didn't

115:23

think you know the idea was everyone

115:25

should care for everyone

115:27

rather than having this traditional what

115:29

they they saw as uh as bourgeois

115:32

uh

115:33

approach where people are specifically

115:35

interested in their own biological

115:36

children. They want to get rid of that.

115:38

Um they tried to

115:40

they did manage to make it work for a

115:41

while, but what happened was that

115:44

just the parents hated it basically. The

115:45

parents hated not having their own kids

115:48

living with them under their under their

115:50

roof. And they agitated and complained

115:52

about it and and eventually it broke

115:53

down.

115:54

And [snorts] the interesting thing was

115:55

that um although both parents hated it

115:58

most of the the mothers particularly

116:00

hated it. And a lot of the agitation

116:02

came from the mothers more than the

116:04

fathers. And it's a great example a

116:07

great case study

116:08

because we often hear that um that women

116:11

are placed in the primary caregiver role

116:13

by men. That men have kind of forced

116:14

them into the into that role. But here

116:16

was a case where actually

116:19

uh the women in particular were

116:21

rebelling against the male leaders to

116:24

try to put themselves into that role

116:26

instead. So, it's it's a another example

116:28

of a very common phenomenon where you

116:31

see certain behaviors and certain

116:32

aspects of human nature

116:34

that emerge and persist despite culture

116:38

rather than because of culture.

116:40

Culture's pushing in the opposite

116:41

>> going against it.

116:42

>> Exactly.

116:43

>> Yeah. Yeah. I saw this really

116:45

heartbreaking video of a

116:47

woman on TikTok. Uh she was at work in a

116:50

cubicle like like a sort of normal

116:51

office cubicle and she had a screen up

116:55

of maybe the

116:56

daycare that her kid went to and she was

117:00

seeing watching her kid

117:02

say

117:04

its first words or take its first steps.

117:07

>> Mhm.

117:07

>> And the it was just one of those ones

117:09

with the caption over it that said uh

117:11

like me being devastated that I'm at

117:14

work while

117:15

my

117:16

kid is going through one of the most

117:18

meaningful experiences at the start of

117:19

its life and I'm missing it.

117:20

>> It's tough, right? There's a real That's

117:22

the

117:23

uh the work family uh

117:25

you know, clashing roles

117:27

uh that that both sexes do experience,

117:29

but it does seem to be um still a bigger

117:32

deal to women than men.

117:33

>> Yeah. It's not It's not It's certainly

117:34

not something that

117:36

people are happy to talk about matern-

117:38

maternity leave and the lack of

117:39

maternity leave as being kind of

117:41

barbaric and I agree. I think it I mean

117:42

the UK gives 9 months, which is still

117:44

not enough, but feels at least remotely

117:46

humane.

117:47

>> Yeah.

117:47

>> Um

117:49

the US is basically once you're out of

117:51

the

117:52

hospital, you're back to work.

117:53

>> Yeah.

117:53

>> Uh

117:55

but very few people I think

117:57

it's not a big cultural conversation

117:58

around what is missed by

118:02

either the need to go back to work to

118:03

keep yourself financially stable or the

118:05

desire to go back to work because of

118:07

expectations

118:09

that have

118:10

been adjusted on women about where their

118:12

value comes from. This soft bigotry

118:13

thing again. I don't want to be just a

118:15

mom.

118:16

>> Yeah.

118:16

>> Uh but by being

118:17

not just a mom, I'm also missing out on

118:20

a lot of the joys of motherhood.

118:22

It's a It's a very kind of

118:25

It's kind of hard to win that situation.

118:27

Women really don't have a good a good

118:29

outcome there.

118:30

>> Yeah, and people in general I mean in a

118:31

way you know, there are there are these

118:33

kind of trade-offs for everybody always

118:35

and and choosing one option always does

118:37

mean

118:39

uh not choosing another one. I know that

118:41

a lot of people

118:42

solve that problem to some degree to the

118:44

extent that it is solvable. A lot of

118:46

women do by taking some time off you

118:48

know, more time off, taking career break

118:50

in other words when the kids are are

118:52

young.

118:52

>> Yeah.

118:53

>> But then particularly when they go to

118:54

school, then, you know, getting back on

118:56

the uh career career horse.

118:59

>> Yeah.

118:59

>> What about differences between men and

119:01

women in sexual jealousy?

119:03

>> Um that's an interesting one. So, both

119:04

are prone to it, like I mentioned.

119:06

But for the reasons that

119:08

uh you mentioned already, um men men's

119:12

jealousy is more focused than women's on

119:15

sex.

119:16

So, a sexual infidelity, like like if

119:19

you ask men, which would upset you more,

119:21

uh your partner who you love going off

119:23

and sleeping with somebody else, or just

119:26

forming a close emotional bond with

119:27

somebody else? Now, both of those are

119:29

upsetting to most men, but men are more

119:31

likely to say that the sex is more

119:34

upsetting than just the bond.

119:36

And

119:37

pose the same question to women, and

119:39

again, it's both of them are upsetting

119:41

to to the vast majority of women, but

119:44

they're more likely to say that the

119:45

emotional bond, the sort of falling in

119:47

love maybe falling in love with the

119:48

other person, um that that's more

119:50

upsetting than just sex per se.

119:53

>> Huh.

119:54

>> It's interesting, right?

119:54

>> And it comes out of the fact that uh men

119:57

have this this problem of paternity

119:59

uncertainty.

120:01

Like you say, no man in the history of

120:02

the species has ever um

120:05

no woman around the in the history of

120:06

the species ever given birth and

120:08

thought, "Now, how do I know that this

120:09

is my kid and not some other woman's

120:11

kid?" Whereas you know, for most men,

120:14

more than likely it is their own kid.

120:15

>> Huh.

120:15

>> Um but there is always some non-zero

120:18

chance that actually it's not, that it's

120:19

the uh the good-looking next-door

120:20

neighbor's kid instead. So, yeah, that's

120:23

why sex is more important issue for men

120:25

than women. Women are more likely to be

120:27

left holding the baby, and that is not

120:29

good for their fitness,

120:30

>> Yeah.

120:30

>> cuz it's going to reduce the time before

120:33

they can have another kid, and uh just

120:35

make things a lot more difficult for

120:37

them. And so,

120:39

the

120:40

it's obviously not great if their

120:41

partner sort of sleeps with somebody

120:43

else. It's not great. They'd be very,

120:44

very upset about it. Very often it

120:46

destroys the relationship.

120:49

>> But it's even worse

120:50

for most women if the partner gets

120:53

emotionally involved with somebody else

120:54

because then

120:55

the whether whether they want the

120:57

relationship to end or not it's going to

120:58

end cuz they're going to leave very

120:59

likely going to leave and I set up shop

121:01

with the other woman.

121:03

>> I have an example

121:05

that I heard about from a while ago that

121:07

a

121:08

a friend was on

121:11

23andMe or ancestry.com and one day in

121:15

their 30s got an email notification

121:17

saying you've got a new half-sister.

121:20

>> Right.

121:21

>> And it says, "How the [ __ ] have I got a

121:23

new half-sister?" What it turns out was

121:24

that 32 years ago

121:28

the dad had had a one-night stand

121:30

affair.

121:31

That kid had never met the father, never

121:33

been involved again.

121:35

>> Right.

121:35

>> But three decades later this situation

121:38

unfolds and uh

121:41

ob- obviously awful

121:43

awful to try to live through.

121:45

But I would have been fascinated to have

121:46

done a study to work out what happens to

121:52

what happens to sexual jealousy and

121:54

intimacy jealousy and the fear of

121:58

resources resource provisioning needing

122:00

to be split

122:01

>> Yeah.

122:01

>> when you've gone past all of those

122:03

things because you have this you know

122:05

three decade as assuming that there's

122:08

not been more infidelity this three

122:09

decade example of someone

122:12

committing to the family and raising the

122:14

kids and doing the rest of the stuff and

122:16

also the person that would have been the

122:18

dependent

122:19

is no longer in need of any of the

122:22

provisioning. Do you understand what I'm

122:24

getting at? To like separate out all of

122:25

the typical areas trust infidelity all

122:30

of those things obviously

122:32

horrible

122:34

but kind of kind of fascinating too.

122:36

>> It is really fascinating and I wonder if

122:38

this could be an example where

122:41

proximate and ultimate

122:43

could could just I thinking about the

122:44

proximate and ultimate might solve the

122:46

mystery cuz it's possible that cuz we

122:48

don't necessarily think about

122:50

we don't necessarily think it through

122:51

well. We're not really necessarily

122:52

thinking well, I'm going to lose this

122:54

partner. He he's going to fall in love

122:55

with her and he's going to go away and

122:57

then I've got this baby and I'm going to

122:59

have no one to help me with it.

123:00

That's the evolutionary rationale, but

123:02

it could just be a gut reaction like

123:04

he's getting close to somebody else. I

123:06

hate that. I feel jealous. I feel bad

123:07

about it. And so that could kick him

123:09

just as strongly 30 years down the line

123:12

when it doesn't matter anyway.

123:13

You know, like you say trust issues and

123:15

those kind of things are going to kick

123:16

him.

123:17

Could kick him just just as strong

123:19

even though evolutionarily the

123:21

circumstances it doesn't matter anymore.

123:23

The gut reaction that evolved

123:26

might be

123:27

might not discriminate those those

123:29

details.

123:29

>> Mhm.

123:30

What do we know about sex differences in

123:31

personality?

123:33

>> Uh well, there are some and they're

123:34

pretty consistent. They're not huge. Two

123:37

of them are bigger

123:38

bigger than the rest. Now if you're

123:39

thinking about the big five personality

123:40

traits.

123:41

So so the ocean acronym, right? So

123:44

openness to experience, neuroticism,

123:45

extraversion, agreeableness,

123:48

uh and uh

123:50

conscientiousness. I got that in the

123:52

wrong order. That wasn't ocean, but but

123:54

those were the

123:55

those are the five.

123:56

So um the two sex differences that are

124:00

largest and most consistent

124:02

uh the sex difference in neuroticism,

124:04

which is proneness to negative emotions

124:06

like depression and anxiety plus

124:08

emotional volatility. So ups and downs.

124:11

Um and that is about a medium effect

124:13

size. So I guess it's usually estimated

124:15

between about 0.2 and 0.5

124:18

uh standard deviation between between

124:20

men and women. There's that one and then

124:22

the other consistent one is the sex

124:23

difference in agreeableness.

124:26

Uh and women on average score higher.

124:29

Again, it's not a massive difference,

124:30

heaps of overlap, but but again it's 0.2

124:33

to 0.5. I'd say it's a it's a medium

124:36

small to medium sex difference. Uh as

124:38

well.

124:39

There are some sex differences in the

124:40

other uh three big five traits. Um

124:45

Often

124:46

not always. You sometimes find that

124:48

women score a bit higher

124:49

conscientiousness, but but not always.

124:51

Some studies don't find that. Uh

124:53

extraversion, on average women slightly

124:56

higher on extraversion, but but again,

124:58

not always and it's it's a smaller

124:59

difference if it is one.

125:01

Uh and then

125:04

uh

125:05

Uh what's the other one?

125:06

Conscientiousness?

125:08

Openness. Yeah, openness slightly higher

125:10

for for women as well or no difference.

125:12

>> What's the explanation for why those

125:14

would be the case?

125:15

>> Uh well, I

125:17

I don't think we know for sure, but my

125:18

best guess so then neuroticism sex

125:21

difference, so that's proneness to

125:22

things like anxiety and depression, and

125:25

I think women there's a general trend

125:27

where women seem to be more

125:28

self-protective than men. It's kind of

125:30

the flip side of the fact that men take

125:32

greater risks than women.

125:34

They more risk-taky. I think that that

125:36

evolved cuz that is um about trying to

125:38

propel yourself up the status hierarchy.

125:41

You got to take risks in order to do so.

125:44

Uh and men have evolved to do that more

125:45

than women cuz they have a higher

125:47

maximum offspring number.

125:48

But yeah, the flip side of of

125:49

risk-taking is to be more self

125:51

self-protective. Part of that is to be

125:53

more prone to anxiety. Anxiety, the

125:55

function of anxiety is to is the same as

125:57

the function of the of the turtle shell.

125:59

It's to protect yourself. It's about

126:01

protection.

126:02

So I think that's why women are more

126:05

neurotic. Now, the agreeableness sex

126:08

difference, so women on average are more

126:09

agreeable. Um

126:11

I don't have quite as strong an idea

126:13

about that. I do think that Well, I

126:15

guess I guess it could be the flip side

126:17

of the fact that men are um sort of more

126:19

more aggressive, more more pushy, and

126:23

and that evolved like like we discussed

126:24

to try to again get up the status

126:26

hierarchy.

126:27

Uh beat rival males to to go up in the

126:30

world and achieve status and resources.

126:33

Women have evolved to do less of that

126:35

and one manifestation of that is the

126:36

fact that they're more more agreeable,

126:38

more friendly, more compassionate.

126:40

Um

126:41

and and just the way that women have

126:42

evolved to form

126:45

social bonds that does tend to

126:47

have a high level of compassion

126:49

and and understanding the other person.

126:52

That seems to be more common in in women

126:53

than men.

126:54

>> What about the people versus things

126:56

divide?

126:56

>> Um so that's an interesting one, right?

126:59

That is

127:01

a bigger difference.

127:02

That's actually quite a big difference.

127:03

One of the bigger psychological sex

127:05

differences and the effect size there is

127:07

is like one standard deviation or even

127:09

even a bit more when it comes to people

127:11

people versus things.

127:13

Very very consistent. I think there's a

127:15

good case that it is not just due to

127:17

socialization. So so one thing is that

127:20

like I mentioned earlier, it has

127:21

persisted for as long as we've been

127:23

measuring it. Very very consistent. Even

127:25

when the culture's trying to push

127:26

against it and and get women more

127:28

interested in things related professions

127:30

traditionally male professions.

127:32

Seems to be related as we also mentioned

127:34

seems to be related to prenatal hormonal

127:36

exposure.

127:37

And one thing I haven't mentioned

127:38

already is that it's also very very

127:41

cross-culturally consistent. So there

127:43

was one study that had about 200,000

127:45

people in it and found that sex

127:46

difference in career-related interests.

127:49

Found that in 53 out of 53 nations.

127:52

And another one had half a million

127:53

people and found that in 80 out of 80

127:55

nations.

127:56

>> Wow.

127:56

>> And that level is amazing, right? That

127:57

level of cross-cultural uniform

128:00

uniformity you just hardly ever find it

128:02

in the social sciences, but you do find

128:04

it for that difference.

128:05

>> And this has been around for 100 years.

128:07

>> Yep. Yep.

128:08

>> First documented in 1911.

128:09

>> Yeah yeah yeah, that's right. Yeah,

128:11

that's when they first first documented

128:12

it and it's been consistent ever since.

128:14

It's one of the biggest differences and

128:16

I always find that pretty interesting

128:17

really cuz

128:19

the kind of careers that we have today

128:21

are evolutionarily novel.

128:23

So you might not necessarily expect that

128:24

to be one of the biggest sex

128:25

differences. You know, interest in

128:27

careers that just haven't existed

128:29

throughout the vast majority of

128:30

evolutionary history for our species.

128:32

>> Yeah.

128:32

>> But but it's there. And very consistent.

128:34

>> And there's been some deliberate effects

128:36

attempts to try and close it as well.

128:38

>> Indeed. And they're ongoing. And it just

128:40

doesn't seem to

128:41

doesn't seem to budge really.

128:43

>> Mhm.

128:43

>> Yeah.

128:43

>> Interesting that the the soft bigotry of

128:46

male expectations happens with get more

128:47

women into STEM as well.

128:49

>> Yes. Yeah, indeed. As opposed to get

128:51

more men into traditional female

128:53

dominant Exactly. Exactly. But um you

128:56

know, Richard Reeves who he's been on

128:58

the show, right? And and [clears throat]

128:58

he's he's trying to

129:00

get more men into the into those kind of

129:02

professions.

129:03

>> He's trying to do it, but again

129:07

I think the reason that there is a

129:09

publicly lauded push toward getting more

129:12

women into STEM is because of that soft

129:14

bigotry.

129:15

>> Agreed.

129:16

>> And

129:18

if you look I'm going to guess that if

129:20

you look at the gender equality paradox,

129:22

you're going to find that in more gender

129:24

equal nations fewer women end up going

129:26

into things-based roles.

129:28

>> Yep.

129:29

>> And more men go into things-based roles.

129:31

>> That is exactly right. Yeah. And and

129:33

just the interest in it is gets bigger

129:35

in those in those cultures as well.

129:36

>> Regardless of what you do, what you

129:38

That's an interesting one to have to

129:39

separate out what jobs are available to

129:41

you and can you get from what ones you

129:43

interested in.

129:44

>> Exactly. And and both both expand.

129:46

And it's really it is interesting. Now,

129:48

I think that you were right that it does

129:49

reflect the soft bigotry of male

129:51

expectations. I think I think people who

129:53

want to close those gaps also will

129:55

typically point out

129:56

that those kind of professions pay more

129:58

as well.

129:59

And that's that's another reason to try

130:01

to close the gap.

130:02

>> But that doesn't change the interest.

130:03

>> It doesn't it doesn't change the

130:04

interest.

130:05

>> I mean, some people are interested in

130:06

things because I I went to university

130:08

and did business

130:10

>> Yeah.

130:10

>> because I thought I could get a job in

130:12

it.

130:12

>> Yeah.

130:12

>> So I

130:13

became interested, but it was a very

130:16

transactional type of interest.

130:18

>> Interesting.

130:19

>> Yeah.

130:20

So yeah, I

130:21

how many people develop an interest in a

130:24

thing because it's functionally useful

130:26

for them to acquire resources in it? I I

130:28

you know, not know people. I would say

130:31

that in in a pretty wealthy society that

130:34

more men than women do that. Now, in in

130:36

poorer societies, I think it's more

130:38

common for everybody to do that, you

130:40

know? Some poorer societies you just

130:42

think, well, I would love to do whatever

130:44

it is, impressionistic dancing or

130:45

whatever. But you get some in in high

130:47

inequality and uh high poverty

130:51

environments, you get some really

130:52

interesting outcomes. You've seen

130:53

Candace Blake's work on the female

130:55

beautification. I I have, yeah. Remind

130:57

me remind me the details there. They

130:58

analyzed It was either Instagram posts

131:00

or tweets and correlated them with the

131:02

level of income inequality in the local

131:04

ecology. And in areas with higher income

131:07

inequality, women did more

131:08

self-sexualization and more

131:09

beautification. And supposedly, the

131:12

proposed mechanism for that is when you

131:14

see not only how high you could climb,

131:16

but how low you could fall, you try to

131:18

maximize your ability to be a assisted

131:20

in being dragged out of that from a

131:22

resource resource provision perspective.

131:24

Yeah, it's it's it's really cool, but

131:26

basically, it's just

131:28

when

131:29

material

131:31

restrictions are in place, stuff gets

131:34

warped and squirrely because people are

131:37

concerned about survival. I mean, you've

131:39

seen the um

131:41

environmental security hypothesis as

131:43

well about men are more attracted to

131:45

bigger women in times of

131:47

poor

131:48

economy and more attracted to skinnier

131:50

women in times of bad times of good

131:53

economy.

131:53

>> And and good Yeah, it's interesting,

131:55

right? And there does seem to be pretty

131:56

good data on that. I am not 100%

131:58

persuaded of the evolutionary arguments

132:00

for it, though.

132:01

>> You could survive a famine, there's a

132:02

famine imminent. You couldn't survive a

132:04

famine, but it doesn't matter cuz we got

132:05

loads of food.

132:06

>> Indeed. And I mean, it does make sense.

132:08

Like the the logic there does make

132:09

sense, but I mean, is it the case that

132:11

for a long enough fraction of human

132:13

evolutionary history,

132:15

Uh

132:16

we had feast and famine feast and

132:18

famines I'm sure we did have that, but

132:20

with a feast periods

132:22

big enough that people were actually

132:23

getting bigger. I mean my impression is

132:25

that hunter-gatherers they just didn't

132:27

really get

132:28

uh big enough that they would have been

132:29

selected for that.

132:30

>> very very very rare. It would have would

132:32

have been almost impossible

132:34

>> Indeed.

132:35

>> before what 13,000 years ago. It would

132:38

have been almost exactly impossible

132:40

definitionally because you could only

132:42

eat what you could carry.

132:43

>> E- Exactly.

132:44

>> no surplus at all.

132:46

That's interesting.

132:47

>> So I sort of feel like I can hear today

132:48

we can [ __ ] grill him about it. We

132:50

can talk about that, yeah, cuz he's a

132:51

he's a fan of that, right?

132:52

>> Yeah, he is. Well, he likes he likes the

132:54

sort of behavioral ecology approach to

132:55

things. He likes humans as plants as

132:57

well as humans as as animals. So we grow

132:59

toward the sun and how is the local

133:01

ecology imposing and warping, uh but it

133:05

definitely the the

133:07

it's self-sexualization

133:09

in high income inequality makes makes

133:11

sense.

133:12

>> Yeah. And I do agree with the general

133:13

principle that uh we've evolved to

133:17

respond to the ecology.

133:18

I'm just not sure in that case it could

133:20

have it could have evolved because of

133:22

there weren't, you know, fatter people

133:24

around the place for long enough.

133:25

>> What about cognitive abilities?

133:27

>> Cognitive abilities, um that's

133:30

if anything is I would say that's

133:33

probably the most controversial topic

133:35

that I deal with in the book.

133:37

>> Let's bury it 2 hours into the episode.

133:38

>> [laughter]

133:38

>> Yeah.

133:39

>> Um

133:41

so there are some, I guess, few things

133:43

to say uh to avoid or try to avoid

133:45

getting canceled is first of all that

133:47

there are there are no sex differences

133:49

in the cognitive ability that matters

133:50

most to most people, which is IQ or

133:52

general cognitive ability.

133:54

Um there is basically zero sex

133:56

difference in the average there. Um now

133:59

people when when you say that some

134:00

people will say

134:01

but that's because IQ tests have

134:03

deliberately been constructed to

134:06

create equal averages.

134:09

Um and that is true. Some of them have

134:11

some of them have, but there are some IQ

134:12

tests

134:13

>> the sex difference?

134:15

>> Well, that that's the that's the theory.

134:17

And so some of some of them have been

134:19

deliberately

134:20

created that way, but some haven't.

134:23

But even those ones that haven't been

134:24

created specifically to give the same

134:26

the same outcome and balancing spatial

134:28

versus verbal and and that kind of

134:30

thing.

134:31

Um even when they haven't they they give

134:33

basically the same averages with

134:35

representative samples of people. Now,

134:37

sometimes you'll get

134:39

uh some studies that will have males

134:41

doing slightly better on average, but uh

134:44

I'm persuaded by the argument that that

134:45

is because the very low IQ males are

134:48

more likely to fall off the map, fall

134:50

through the cracks, and kind of

134:51

disappear and and not end up on the

134:52

samples

134:53

>> Right. And the low IQ women bringing

134:55

down bringing down the female average.

134:58

Because we do have a higher variance.

134:59

>> Yeah, right.

135:00

>> Yeah, yeah, yeah, yeah. In cognitive

135:02

abilities there's higher variance, yeah.

135:04

Average is the same. The variance is

135:05

slightly greater in men than in women.

135:08

>> More male geniuses and more male

135:09

retards.

135:10

>> That is exactly right, but uh important

135:13

note that that's quite a small effect.

135:16

Um and that is

135:18

this is the controversial area and

135:19

that's maybe the most controversial

135:20

claim within that controversial area.

135:22

Um so I always like to follow that up by

135:24

saying

135:26

So that that people hate that cuz it's a

135:28

cognitive advantage that gives an

135:29

advantage to guys, but there are also

135:31

other cognitive um

135:33

ability sex differences that give the

135:35

advantage to women. So women on average

135:37

um are better verbally. Um that is one.

135:40

And another one is that among the

135:43

minority people who are really really

135:44

gifted at maths,

135:46

the women are more likely than than the

135:47

men to also be gifted verbally.

135:50

So they're they're more likely to be a

135:51

double threat.

135:52

>> [laughter]

135:53

>> That's cool.

135:54

>> Uh

135:55

So that's So no average differences in

135:57

IQ.

135:59

Where you do find differences, they're

136:00

just as likely to favor women as men.

136:02

Some of them So in some cases men are

136:04

slightly better. Spatial abilities,

136:07

that's an example.

136:09

Verbal abilities though, women tend to

136:10

be somewhat better. And then, most of

136:13

the differences are small.

136:15

So, the personality They're smaller than

136:16

the personality differences. They're

136:17

much smaller than the differences in

136:19

interests. So, when it comes to

136:21

cognitive abilities, we're much more

136:22

alike than different.

136:24

But, having said all that, there are

136:26

these average differences in these

136:27

specific abilities.

136:29

Um and that, like it or not, that just

136:32

is the the fact of the matter. And

136:33

that's been measured for

136:35

uh 100 years as well. There's There's

136:36

tons and tons of data on it.

136:38

Typically found across cultures.

136:40

Very likely, I think, to be to be partly

136:43

innate. You know, that

136:45

it's shaped by culture as well. You can

136:47

You can minimize it.

136:48

Uh

136:49

and and I guess also, in principle, you

136:51

could increase it as well. But, yeah, I

136:52

would be surprised if it's just due to

136:54

socialization.

136:55

>> What about physical health?

136:57

>> Physical health, um there are some

137:00

definite sex differences there.

137:02

Uh one of them, and the one that's

137:04

probably best known, is that men are

137:05

more prone to cardiovascular disease.

137:08

That women are more prone to heart

137:09

attacks in particular. Um at least among

137:12

you know, like like in '50s and '60s.

137:14

Until until very old age, men are more

137:16

prone uh to those.

137:18

Women are more prone to immune system

137:21

disorders. They're more prone as well to

137:23

to pain disorders.

137:25

Uh

137:26

men are more prone to most forms of

137:28

cancer, other than sort of reproductive

137:30

cancers that only strike one sex or the

137:32

other. Uh men are somewhat more prone to

137:34

to cancers as well. And actually, one of

137:36

the big ones is that men die younger, on

137:38

average, than men in the vast majority

137:40

of cultures.

137:41

Uh including even most cultures where

137:43

women have high rates of of death during

137:45

childbirth.

137:47

So, we drew the the short straw there.

137:50

>> Eunuchs in the Korean Chosen Dynasty

137:52

lived longer than intact males of

137:54

identical social standing, demonstrating

137:56

that testosterone has a direct

137:58

biological cost to male lifespan.

138:00

>> That is very true. So, I touch on that

138:02

in the book in a billion billion years

138:04

of sex differences. I write about how

138:06

actually most people probably don't know

138:08

this, but we do actually already have an

138:09

intervention that we could in principle

138:11

do,

138:12

which would completely obliterate the

138:14

the average difference in lifespan

138:15

between men and women, and would extend

138:17

men's lifespan, and that is castration.

138:20

It's got to be um castration before you

138:22

hit puberty though. So, you know, sadly

138:24

enough if anyone wants to take that

138:25

approach, if you've already hit puberty,

138:27

it's too late. Uh but yeah, the fact

138:29

that it it would work is it's

138:31

interesting. That show that it's

138:32

testosterone that is making us bigger,

138:35

stronger, more aggressive, but also

138:36

shortening our our lifespan as well.

138:38

>> If male mortality rates were lowered to

138:40

female rates, Randy Nesse, who did the

138:42

evolutionary medicine studies,

138:44

calculated we would save more years of

138:46

life

138:47

than if we cured cancer. If male

138:50

mortality were at female rates, we would

138:52

save more years of life than if we cured

138:54

cancer.

138:55

>> Yeah.

138:55

So, we're so used to it, so used to the

138:58

fact that men die younger,

138:59

that we don't really think about it, I

139:01

think. But then when you do think about

139:02

it, yeah, you find that that is a is

139:04

just a massive massive difference.

139:05

>> And then we've got 88% of Darwin Award

139:08

winners, which are people who die

139:09

through spectacular self-inflicted

139:11

stupidity, are men. But 90% of Carnegie

139:14

Hero Awards, which are given to people

139:16

who risk someone's life in order to save

139:17

a stranger, also go to men. So, the risk

139:20

sort of cuts both ways. It's almost

139:21

exactly the same. 88% of people who die

139:24

through stupid self-inflicted ways are

139:26

guys, and 90% of people who risk one's

139:30

life to save a stranger are also guys.

139:32

>> Yeah. So, that is the trade-off there of

139:34

of risk-taking, right? Is that and in

139:36

fact almost by definition, taking risks

139:38

can pay off big time, but can also kill

139:41

you.

139:41

>> Winners and losers.

139:42

>> Yeah, exactly. And because men do more

139:44

of that risk-taking, I mean, that's one

139:45

of the reasons I think that um

139:48

that

139:49

you get more males than females will

139:51

start a business that does really really

139:53

well.

139:53

Uh and people focus on that, and they

139:55

think it's it's unfair, but it's it's

139:57

also the other way around. Exactly,

139:58

exactly right. Yeah, they're more

139:59

>> likely to go in both directions. So,

140:01

they're more likely to succeed cuz they

140:02

take bigger risks, more likely to fail

140:04

because they take bigger risks. Some

140:06

people when they hear about that, they

140:07

think, "Well, we should encourage women

140:08

to take bigger risks."

140:10

But the problem is that they are then

140:12

to the extent that they do that, they're

140:13

opening themselves up not only to

140:15

greater chances of success, but also to

140:17

greater chances of failure.

140:18

>> Yeah, risk doesn't just cut one way.

140:20

>> Yeah, well, totally. Exactly. And so, my

140:21

solution there, I think, would be just

140:23

tell everybody all the facts. Tell men

140:24

and women all the facts.

140:26

This approach to life, this risky

140:27

approach

140:28

uh cuts both ways. You could go up, you

140:30

could go down.

140:31

>> Yeah.

140:32

>> Uh do do what you want with that with

140:33

that knowledge.

140:34

>> Mhm.

140:35

>> And that's my approach to just uh a lot

140:37

of gender gaps in general, right? So,

140:38

like workplace gender gaps.

140:40

Tell people all the facts. Try to get

140:41

rid of I mean, just do everything we can

140:43

to get rid of bias and barriers. But

140:46

then, having done that, um

140:49

respect people's choices about their own

140:51

lives and how they want to live them and

140:53

what careers they want to do.

140:54

>> really interesting about that is if you

140:56

try to

141:00

compartmentalize the information that

141:02

people see

141:03

>> Mhm.

141:03

>> and you don't give them full access to

141:06

the information,

141:07

>> Yeah.

141:08

>> what you end up with is actually a world

141:10

in which there's more likely to be

141:13

resentfulness,

141:14

and you need to do more compensation on

141:17

the back end because people have made

141:19

decisions under imperfect information.

141:21

>> Yeah. Yeah, that's exactly right. And um

141:24

some of the steps I think that people

141:25

take to try to

141:27

balance out gender gaps in the

141:28

workplace, I think, can have exactly

141:30

that effect, creating uh resentment.

141:33

Um

141:35

This is one of the dangers really, I

141:35

think, of

141:37

overstating the extent to which gender

141:39

gaps in occupations are due to bias and

141:42

barriers.

141:43

>> Mhm.

141:44

>> Um

141:45

Uh you know, I do think it's absolutely

141:47

essential to

141:48

look at the extent to which they are due

141:49

to those facts. But I think we just to

141:52

to bias barriers, I think we also though

141:53

need to look at um the extent to which

141:55

they're due to

141:56

preferences as well.

141:59

>> [gasps]

141:59

>> Cuz if we don't, first of all, if if we

142:01

say any kind of gaps that you see are

142:03

products of discrimination,

142:05

first of all, it's going to create

142:06

unnecessary resentment cuz you're going

142:08

to say, "Look look at these gaps, that's

142:09

because of men mistreating women."

142:12

>> [gasps]

142:12

>> Second, it's going to lead to

142:14

like like costly interventions to try to

142:16

eliminate the gaps. And those

142:18

interventions

142:20

probably not going to work because

142:21

they're targeting

142:23

things that are not the causes, the

142:24

primary causes

142:26

of the gaps in the first place.

142:28

Then what happens is cuz they don't

142:29

work,

142:30

we start doing more and more coercive

142:32

things to try to eliminate the gaps.

142:33

>> Yeah.

142:34

>> In some cases, we

142:37

do anti-male discrimination kind of

142:39

inadvertently just trying to eliminate

142:40

the gaps. We get a bit more coercive and

142:42

end up

142:44

instead of getting rid of

142:45

discrimination, which is what I think we

142:46

should do, we end up reversing the

142:48

direction of discrimination.

142:50

Which I think is just creating It's not

142:52

It's not undoing past injustices. It is

142:54

just adding to the sum total of

142:56

injustices.

142:57

>> Exactly. Exactly. And reverse reverse

142:59

ones.

143:00

And then I can create a backlash among

143:02

guys.

143:03

And then also if we if we exaggerate the

143:05

extent to which discrimination is behind

143:07

those gender gaps. Um

143:10

like in STEM, for instance, we say

143:12

there's the the you have these gaps in

143:14

STEM, more men than women go into it,

143:16

and it's just because

143:18

STEM is just riddled with sexism. It's a

143:20

horrible horrible hotbed of sexism.

143:22

That's going to

143:24

put a lot of women off, girls and women

143:25

off, who might otherwise go into it. So,

143:27

ironically, this effort to try to to

143:28

fight it could actually be, you know,

143:32

create the the reverse.

143:34

>> You touched on it earlier. What about

143:35

differences in mental health?

143:37

>> Mental health,

143:38

so

143:40

there's the neuroticism sex difference,

143:41

first of all. Women are more prone to

143:43

depression and anxiety, just sort of

143:44

day-to-day depression and anxiety,

143:47

um, than clinical levels of it.

143:49

But, at the extreme of that

143:50

distribution, they are also more prone

143:53

to clinical depression and clinical

143:55

anxiety disorders.

143:56

>> Mhm.

143:57

>> Uh, men are slightly more prone to

143:59

schizophrenia.

144:01

Men are much more prone to

144:04

like antisocial personality disorders,

144:06

sociopathy, psychopathy, um, more likely

144:08

to be psychopaths. Mhm.

144:10

What else is there? I'll tell you one

144:12

that we don't find a sex difference is

144:14

bipolar disorder. That is, I'd say in

144:17

the book that that's the the least

144:18

sexist disorder on record.

144:21

Because it's basically the same, uh,

144:23

across cultures it's about the same

144:25

frequency in both sexes.

144:26

>> What's your explanation for why we would

144:29

have these differences in mental health?

144:31

>> Well, with the depression and anxiety,

144:33

I think that's just a, um, side effect

144:36

of the neuroticism sex difference. So,

144:38

at at lower levels, it's adaptive for

144:41

women to be, girls as well, but

144:43

especially women to be somewhat more

144:45

anxiety-prone because they they protect

144:47

themselves more and they're not taking

144:50

risks,

144:51

uh, in the way that is more adaptive for

144:53

males.

144:53

>> Mhm.

144:54

>> Um, because of the higher maximum

144:55

offspring number. Um,

144:58

I So, it's adaptive at that level, but I

145:00

think that cuz you have a distribution,

145:03

it it means that inevitably some people

145:05

are going to be the extreme of that

145:06

distribution. I I I don't think it's

145:07

actually adaptive out there. So, I don't

145:09

accept adaptive explanations for

145:12

clinical depression or clinical levels

145:14

of anxiety disorders.

145:15

>> Mhm.

145:15

>> I think that that is the sort of, uh,

145:17

non-adaptive or actually maladaptive,

145:20

often, byproduct of sex differences.

145:23

>> Kind of a spandrel, yeah. So, just a

145:25

side effect, um, exactly, of differences

145:28

that closer to the mean are adaptive.

145:30

>> Mhm.

145:31

>> The schizophrenia difference, I don't

145:32

have a theory about that why that is and

145:34

I don't think there is that there is a

145:35

theory yet about why that is more common

145:38

among men than women.

145:38

>> Mhm.

145:39

>> Uh, some that I didn't mention,

145:40

actually, autism is more common among

145:42

boys and girls. Uh

145:44

ADHD is more common among

145:46

uh boys and girls as well.

145:48

Um so yeah, ADHD I think that again

145:51

that's just a sort of offshoot of the

145:52

fact that boys are kind of more

145:55

active on average than girls

145:57

and sort of less attentive and more

145:59

likely to get distracted and run running

146:00

around the place. And it's not a problem

146:03

at in the usual I mean it might be

146:05

irritating for parents and teachers, but

146:07

it's not a

146:08

big problem in the normal uh range, but

146:11

at the extremes it is a quite a problem.

146:14

And it's a problem more often suffered

146:15

by males than females as an offshoot of

146:18

the differences at the mean.

146:20

>> Mhm.

146:22

I think going through all of this, doing

146:23

all of the the research obviously you've

146:25

been deep in this for a long time.

146:26

>> Yeah.

146:27

>> And then doing the book, what happens or

146:30

what's your fear when people don't

146:33

respect sex differences or they deny

146:36

them? What

146:37

what's the sort of world that we live in

146:38

if that happens?

146:39

>> It's a good question and I think it's a

146:41

particularly good question because we're

146:43

always focusing on the dangers of

146:44

exaggerating sex differences and and

146:47

moralizing sex differences. I think

146:48

there are lots of problems with doing

146:49

that and we need to be careful not to do

146:51

it. Um but where I think I disagree with

146:54

a lot of folks is that I I think that

146:56

there are also problems with doing the

146:57

reverse. I think there are also problems

146:59

with minimizing sex differences and

147:01

denying them.

147:02

Um so one thing is that just as in

147:04

exactly the same way that some people

147:06

who exaggerate and moralize sex

147:07

differences, they try to push people

147:09

into traditional gender roles.

147:12

People who deny the differences or or

147:15

massively minimize them, they're in

147:16

danger of trying to push people out of

147:18

gender roles. So kind of replacing one

147:21

gender straightjacket with a with

147:22

another unisex gender straight

147:24

straightjacket or like a maybe reversed

147:26

gender role reversed uh straightjacket.

147:29

Um and then we've actually touched on

147:30

another of the big problems I think with

147:32

minimizing the differences, which is the

147:34

fact that trying to explain gender gaps

147:36

in society like occupational gender

147:38

gaps, there's just a whole host of

147:40

problems with doing that that we that we

147:41

discussed.

147:42

Um,

147:44

other problems

147:46

uh, with minimizing sex differences is

147:49

that there are certain

147:52

physical health problems and and mental

147:53

health problems

147:55

um, that so so not only do they

147:57

frequency of the of different problems

147:59

differ between the sexes, sometimes they

148:01

um,

148:02

symptoms differ as well. They they

148:04

present differently. So like

148:06

cardiovascular problems present

148:08

differently for women than men. Women

148:10

are more likely than men to have

148:12

shortness of breath as as a as a symptom

148:15

rather than sort of shooting pains down

148:17

the arms and the other kind of classic

148:18

problems like that. And if you don't

148:20

focus on sex differences, you might be

148:22

more likely to overlook the symptoms of

148:24

heart attacks in women. Traditionally,

148:26

doctors and people themselves have been

148:28

have overlooked it for that reason

148:29

because they've underestimated the sex

148:31

differences.

148:32

Uh, mental health-wise, same deal. So,

148:35

even though autism is more common among

148:36

boys and girls, there is a strong case

148:39

that it's under-diagnosed in girls.

148:41

And part of the reason for that is that

148:44

it it presents somewhat differently in

148:45

girls. It's less likely, for instance,

148:47

to involve repetitive behaviors. So,

148:50

people might not know if they don't if

148:51

they're not aware of that sex

148:52

difference, they might overlook it in

148:53

girls. And that means girls won't get

148:55

the help that they need.

148:57

Uh, and yeah, likewise with um, social

149:00

problems. Uh, if you're looking at

149:02

social problems like intimate partner

149:04

abuse,

149:05

um, if we assume that all intimate

149:08

partner abuse only goes in one

149:10

direction,

149:11

uh, like male-to-female,

149:13

uh, then we're going to

149:15

like underestimate the extent to which

149:17

it sometimes goes in the in the other

149:18

direction.

149:19

Um, yeah, just so you know,

149:21

>> of that is bidirectional, right?

149:23

>> Uh, at at low levels it is, yeah. Sort

149:25

of low levels, um, verbal

149:27

abuse, pushing and shoving. And

149:29

actually, in the West, there's even some

149:31

data suggesting that

149:32

like verbal abuse might be more common

149:34

women toward men.

149:36

Other cultures that's not the case

149:38

and and it's more likely men to women.

149:41

And when it comes to severe

149:42

>> the equality paradox

149:44

>> Indeed.

149:46

When it comes to severe aggression

149:47

though, even even in the West, men do

149:49

predominate.

149:50

But you know,

149:52

it's not 100%

149:54

>> And what are the harms of exaggerating

149:55

sex differences?

149:56

>> So one of them is trying to push push

149:58

people into

150:01

traditional gender roles and like if you

150:04

just let people do what they want

150:06

probably a majority going to kind of

150:07

gravitate in the direction in

150:09

traditional directions.

150:10

But not everyone does.

150:13

We cuz we don't have

150:15

massive massive sex differences,

150:16

somewhat modest sex differences. There

150:18

always going to be some folks who

150:20

are not going to want to go into the

150:21

traditional directions and in my view,

150:24

my let people be themselves view, would

150:26

say well that's fine, just let them let

150:28

them be themselves. It it doesn't

150:29

matter.

150:30

>> But if you exaggerate and moralize sex

150:31

differences, you're unlikely to think

150:33

that. You're going to think well no no,

150:34

this is the way of nature.

150:36

Any exceptions to the rule that is by

150:38

definition a problem and we need to push

150:39

people into into those roles.

150:42

>> What else?

150:44

Other problems with the exaggeration

150:45

differences. If you exaggerate the

150:47

frequency of cardiovascular health

150:50

problems, you will say well you find

150:52

them in men not women. So that's another

150:54

reason that you might overlook them in

150:56

women.

150:57

Just because you just

151:00

it doesn't occur to you that okay, she's

151:01

got these symptoms. What would that be?

151:03

Well, it's not going to be

151:03

cardiovascular problems cuz that those

151:05

are men's problems.

151:06

Get the same thing with with mental

151:08

health problems. If you're really

151:10

fixated on the fact that depression for

151:13

instance is more common among women than

151:15

men, you might overlook it in men.

151:17

Because you're exaggerating the size of

151:19

the sex difference and you know, like a

151:21

significant minority of people who

151:23

suffer depression are men. You you

151:25

a third of cases are guys.

151:28

>> [snorts]

151:28

>> Um so, if you exaggerate that

151:29

difference, uh you might not be on the

151:31

lookout for them. Anxiety disorders as

151:33

well,

151:34

so and social problems, yes, so social

151:36

problems like um

151:37

and interpersonal violence, sexual

151:39

harassment, if you exaggerate the extent

151:41

of those,

151:42

you are more likely to focus on

151:45

just the cases where men are doing it to

151:47

women.

151:48

And those are the majority of the cases,

151:50

but there are cases the majority of the

151:52

extreme cases anyway, but you do find

151:54

the reverse. And the reverse is a

151:56

problem as well, and it's problem that

151:57

that we overlook if we exaggerate those

151:59

sex differences. There's an irony there

152:01

though, um

152:02

how which is that uh

152:05

the sex difference in sexual harassment,

152:07

sex difference in interpersonal

152:09

uh

152:10

intimate partner abuse,

152:13

the people who are most likely to

152:14

exaggerate that and say it's all men

152:16

tend to be gender role progressives, so

152:18

people who generally trying to minimize

152:20

and deny sex differences. In those

152:22

cases, they actually, funnily enough,

152:24

flip to the reverse and and

152:27

adhere to them in fact just reverse it

152:28

and and

152:30

uh massively exaggerate those

152:31

differences.

152:32

>> Fascinating. Steve, you're the best. I

152:34

appreciate you, man. You've done a

152:35

wonderful job with this book. Everyone

152:36

should go and buy it, Billion Years of

152:37

Sex Differences. What else what else do

152:39

you want to plug?

152:40

>> Could I plug uh my Substack? So, that's

152:42

the the thing I'm most excited about.

152:44

>> nurture newsletter. Dude, I am a I am a

152:47

Steve Stewart-Williams stan, bro. I

152:49

mean, you're the AP wonders that the

152:51

universe is in the five books that

152:53

everybody needs to read for my first

152:54

reading list.

152:55

Had this one have been out, it would

152:56

have been in the second one.

152:58

Yeah, your your Substack rules, and

153:00

everyone should go and check it out. I

153:01

love it. The my favorite thing that you

153:03

do is the link fest yeah yeah yeah

153:05

breakdowns. Once a month, you just send

153:07

like

153:08

40 or 50 different studies or insights

153:11

that you find. You're the best, man. I I

153:12

really appreciate you. Thank you so much

153:13

for coming to see me.

153:14

>> Thanks very much for for making this

153:16

happen. This is great.

153:17

>> I got you. All right, goodbye, everyone.

153:18

>> Okay, later, folks.

153:19

>> Deuces.

153:21

Yes.

153:22

>> All right.

153:22

>> Nailed it. Nailed it. Nailed it. [ __ ]

153:24

hell. it.

153:25

>> Congratulations, you made it to the end

153:26

of a full podcast episode. You are not

153:28

so TikTok brained that you've completely

153:30

dissolved into nothingness.

153:32

>> [music]

153:33

>> Why not watch another one?

153:35

Right here.

153:37

Go on.

153:37

Press it.

Interactive Summary

This video features a discussion with Steven Stewart-Williams regarding his book, 'Billion Years of Sex Differences.' The conversation delves into why the study of sex differences is both scientifically fascinating and politically controversial. Stewart-Williams presents various lines of evidence—such as early development, consistency across time and cultures, and hormonal correlates—to argue for an innate biological basis for many sex differences, while acknowledging the interplay between nature and nurture. The discussion also covers the gender equality paradox, definitions of sex based on gamete size (anisogamy), and the evolutionary drivers behind behavioral differences, such as parental investment and reproductive variance. Throughout, the participants emphasize that understanding these differences does not justify bad behavior or excuse discrimination.

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