Does the brain have a gender? | Franck Ramus | TEDxClermont
-
0:17 - 0:21Are there cognitive differences
between genders? -
0:22 - 0:23I've got to be crazy
-
0:23 - 0:28for choosing to broach
such a controversial topic to you! -
0:28 - 0:32Yet, there are good reasons to do it,
and you're well aware of them. -
0:32 - 0:36These are the statistics you all know.
-
0:36 - 0:40For example: women are more often
in search of employment than men, -
0:40 - 0:43that they are paid less than men
in equivalent positions, -
0:43 - 0:47that they access executive
and managing positions -
0:47 - 0:49less often than men,
-
0:49 - 0:51even when they are
just as qualified as men, -
0:51 - 0:53or even more, on average.
-
0:54 - 0:58And so, these statistics are actually
appalling and I suppose that you all, -
0:58 - 1:03like me, would like to step
these numbers up to 50%. -
1:03 - 1:07However, various approaches differ
-
1:07 - 1:09on how to achieve this goal.
-
1:09 - 1:13If you have followed the debates
on this subject in the media recently, -
1:13 - 1:18even just a little, you must have noticed
that the main leitmotiv -
1:18 - 1:21which keeps coming up
consists of simply denying -
1:21 - 1:26that cognitive or cerebral differences
exist between genders. -
1:26 - 1:31Or, if they do exist,
that they are completely marginal, -
1:32 - 1:37or they are the result of stereotypes,
or educational biases -
1:37 - 1:39between boys and girls.
-
1:40 - 1:44Well, personally, I find
this approach particularly bold, -
1:44 - 1:50since it makes a moral principle
rest on facts which can or cannot -
1:50 - 1:52be observed in real life.
-
1:54 - 1:59So, imagine that tomorrow,
a new scientific research is published -
1:59 - 2:03and clearly shows that there are
cognitive differences between genders, -
2:03 - 2:05then everything collapses
and all of a sudden, -
2:05 - 2:06people will tell themselves,
-
2:06 - 2:08"Actually, there were differences.
-
2:08 - 2:12I was right to discriminate women
in hiring and to pay them less than men." -
2:12 - 2:16We can see that there is something wrong
about these arguments. -
2:16 - 2:19Even more so, given that these arguments
have already been proven wrong -
2:19 - 2:24since proofs of cognitive differences
between genders actually exist. -
2:24 - 2:26This is what we're going to do today.
-
2:26 - 2:28For the first time, go over the data
which actually shows -
2:28 - 2:30this is in fact, the case.
-
2:30 - 2:33Then, come back to our initial question.
-
2:33 - 2:37Thus, there are cognitive differences
between genders, but which ones? -
2:37 - 2:40All those which we are talking about
aren't necessarily real. -
2:40 - 2:44For example, in the 19th century,
we believed that women -
2:44 - 2:49were less intelligent than men, as said
by the famous neurologist, Paul Broca, -
2:49 - 2:53perhaps due to the smaller
size of their brain. -
2:53 - 2:56Facing such an assertion,
there are two possible stances. -
2:56 - 3:01You can either say that it's absolutely
unacceptable, so it has to be false, -
3:01 - 3:05but you will concede
that it is some sort of wishful thinking. -
3:05 - 3:10Or you might take a more scientific
approach, and check the data. -
3:10 - 3:13Let's see if it backs up this hypothesis.
-
3:13 - 3:15If we take a look at the data,
-
3:15 - 3:18first: do genders have
a different brain volume? -
3:18 - 3:22Yes, they do: men have a brain
that is, on average, -
3:22 - 3:249% larger than a woman's.
-
3:24 - 3:28Second question: is it true
that there is a link between brain volume -
3:28 - 3:30and general intelligence,
-
3:30 - 3:32which we can measure through IQ tests?
-
3:33 - 3:36The response is once again yes,
-
3:36 - 3:39which you see illustrated
by these lines here. -
3:39 - 3:44The differences in brain volume
between people explain -
3:44 - 3:47around 10% of IQ differences.
-
3:48 - 3:51Third point: does that mean
that women necessarily have -
3:51 - 3:53a lower IQ than men?
-
3:54 - 3:58By looking at the data,
we can respond to this question. -
3:58 - 4:00Here is the data from a particular study
-
4:00 - 4:02that was confirmed by many others.
-
4:02 - 4:05You see people's brain volume
on the x-axis, -
4:05 - 4:08and on the y-axis, their IQ.
-
4:08 - 4:10The men are in black
and the women in white. -
4:10 - 4:14What you see, if you look
at the x-axis, is effectively -
4:14 - 4:16that the men have larger brains
than the women. -
4:16 - 4:22If you look at the lines that show
the connection between brain size and IQ, -
4:22 - 4:25you clearly see that within the men,
there is a relationship, -
4:25 - 4:27and within the women,
there is also a relationship. -
4:27 - 4:31Look now at the IQ on the y-axis,
you see that, on average, -
4:31 - 4:35there isn't an IQ difference
between women and men. -
4:35 - 4:38From a scientific approach,
this allows to give -
4:38 - 4:42a firm and definitive response
to Broca, which is: no. -
4:42 - 4:45Men and women do not differ
in terms of general intelligence. -
4:45 - 4:49Well, does that mean
that there is no difference? -
4:49 - 4:50Not necessarily.
-
4:50 - 4:51There could be more subtle differences.
-
4:51 - 4:55For example, on the brain level,
if you look at different brain regions, -
4:55 - 4:59there are some that differ
between men and women. -
4:59 - 5:03This image shows that the regions in blue
have larger volumes of grey matter -
5:03 - 5:07in men than in women, on average,
-
5:07 - 5:10while the red areas have
larger volumes of grey matter -
5:10 - 5:12in women than in men.
-
5:12 - 5:14I will not go through
all of the regions in detail, -
5:14 - 5:18but some are in the limbic system,
-
5:18 - 5:20also known as the emotional brain.
-
5:21 - 5:25If we look at it on a cognitive level,
is it manifested through differences -
5:25 - 5:27of performance during tests?
-
5:27 - 5:30Once again, the response is yes.
-
5:30 - 5:34There is a handful of cognitive
functions where men and women -
5:34 - 5:35differ a little.
-
5:35 - 5:37You see an illustration here.
-
5:37 - 5:39These are two cognitive tests.
-
5:39 - 5:42The first, which we see on top,
is a kind of Spot the Difference. -
5:42 - 5:46You've got a board
with a certain number of objects. -
5:46 - 5:49You look at it, then it's hidden,
and the second board is shown to you, -
5:49 - 5:52and you have to guess
which items changed place. -
5:52 - 5:56It's a task of spatial
locations memorisation. -
5:56 - 5:59The task below:
you are shown a 3D object -
5:59 - 6:03and then, you are shown several others
that are the same object -
6:03 - 6:07which has been rotated,
but one amongst them shouldn't be there, -
6:07 - 6:11as it is not the same object rotated,
but its mirror image. -
6:11 - 6:14You are asked to find this one.
-
6:14 - 6:16One of these tasks is better
performed by men, -
6:16 - 6:19while the other is better
performed by women. -
6:19 - 6:22Are you able to guess which is which?
-
6:22 - 6:23We are going to test you.
-
6:23 - 6:26You will vote by raising your hands.
-
6:26 - 6:29Those who think
that the spatial location task -
6:29 - 6:31is better performed by men,
-
6:31 - 6:33and the mental rotation task
-
6:33 - 6:35is better performed by women,
raise your hands. -
6:35 - 6:38Go ahead, I want to see your hands.
There isn't a lot of you. -
6:38 - 6:39Are you guys shy?
-
6:39 - 6:44The people who think exactly
the opposite, raise your hands. -
6:44 - 6:46Straightaway, there are more hands.
-
6:46 - 6:50And so I can tell you
that the majority of you, indeed, -
6:50 - 6:51have the right intuition.
-
6:51 - 6:54Meaning that women are better
at memorisation tasks -
6:54 - 6:57of object locations, while men are,
-
6:58 - 7:00on average, better at tasks
-
7:00 - 7:03where you have to manipulate
objects in space. -
7:03 - 7:09It's not enough to show that men and women
differ on such and such test. -
7:10 - 7:11Because, what does that prove?
-
7:11 - 7:14It doesn't prove the difference is innate.
-
7:14 - 7:19There are many factors that lead
to such performance differences. -
7:19 - 7:23Perhaps it's education:
it's a fact that boys are not educated -
7:23 - 7:24in the same way that girls are,
-
7:24 - 7:28that girls are not encouraged
in the same activities, -
7:28 - 7:29they are not led to the same things.
-
7:29 - 7:32There can also be stereotype biases.
-
7:32 - 7:36I will illustrate this stereotypical bias
-
7:36 - 7:40through this famous American study
in which they gave -
7:40 - 7:44a quite complex math test
to university students. -
7:44 - 7:47The first version had a notice explaining
-
7:47 - 7:50that it was a math test in which men
-
7:50 - 7:52usually performed better than women.
-
7:52 - 7:55The observed results did indeed
conform to this suggestion, -
7:55 - 7:59namely that men have
better results than women. -
7:59 - 8:02In a second version, they gave exactly
the same math test, -
8:02 - 8:05but only changed the instructions
-
8:05 - 8:10which said, "Here is a math test in which
there is no difference between genders." -
8:11 - 8:12And there,
-
8:12 - 8:16the results showed
no difference between genders. -
8:16 - 8:21Thus, you see that, eventually, through
a simple suggestion, you can induce -
8:21 - 8:26stereotypes in people's minds
that they will end up conforming to. -
8:26 - 8:29It's a bit like
a self-fulfilling prophecy. -
8:29 - 8:33We think, "Of course,
these kinds of stereotypes, -
8:33 - 8:36there are many of those, especially
stereotypes devaluing women." -
8:36 - 8:42Then, if women internalize it
and conform to this stereotype, -
8:42 - 8:45then that could explain the numerous
differences observed. -
8:46 - 8:49To be sure, once again,
it's necessary to examine the data. -
8:49 - 8:53Here is a long list of tests,
in which we compared -
8:53 - 8:56men's and women's performances.
-
8:56 - 9:03The ones that do not differ between men
and women are those on the middle line. -
9:04 - 9:06Those with the pink lines
going to the left -
9:06 - 9:09are the tests
that are to the women's advantage. -
9:09 - 9:12Those with the blue lines
going to the right are the tests -
9:12 - 9:14that are to the men's advantage.
-
9:14 - 9:18The length of the lines reflects the size
of the difference between genders, -
9:18 - 9:21on a statistical level
which I won't explain to you. -
9:21 - 9:25But in order to fix ideas, look
at the blue line at the bottom. -
9:25 - 9:28It's the size of the difference
in body size between the sexes. -
9:28 - 9:32Men are, on average,
a little larger than women. -
9:32 - 9:33This is irrefutable!
-
9:33 - 9:37And this difference has a size that is two
-
9:37 - 9:40on this statistical scale,
what is represented here. -
9:40 - 9:43In comparison, the majority
of cognitive differences -
9:43 - 9:45between genders is not actually that big.
-
9:45 - 9:47They are lower than 1 on this scale,
-
9:47 - 9:49so by taking a man and a woman randomly
-
9:49 - 9:52and by comparing them on these tests,
-
9:52 - 9:54they have less chances
of being different than if we took -
9:54 - 9:56two men randomly or two women randomly.
-
9:56 - 9:59Let's say they are lesser differences.
-
9:59 - 10:01Could they be completely explained
-
10:01 - 10:03by stereotype biases?
-
10:03 - 10:05You have to compare them
to the effects of stereotype -
10:05 - 10:08represented by the grey area.
-
10:08 - 10:11Effectively, you see
that a certain number of these differences -
10:11 - 10:15in the middle, which are small,
can be completely attributed -
10:15 - 10:17to effects of stereotype, potentially.
-
10:17 - 10:21There are some as well
that are a little larger and that probably -
10:21 - 10:24cannot be completely
due to effects of stereotype. -
10:25 - 10:29And I will illustrate this
with a specific example: aggressiveness. -
10:31 - 10:34The differences are minimal, however,
-
10:34 - 10:36they can have a certain importance.
-
10:36 - 10:38Aggressiveness, how is it measured?
-
10:38 - 10:41For example, through questionnaires
in which you answer -
10:41 - 10:44to dozens of questions
that target your attitudes, -
10:44 - 10:47based on your reactions
in several situations. -
10:47 - 10:51The scores of all these questions
are gathered and, at the end, -
10:51 - 10:54a score out of 200 or 250 is given.
-
10:54 - 10:58And here you have the distribution
of the men's scores in blue -
10:58 - 11:00and the distribution
of women's scores in red. -
11:00 - 11:05What you see is that these distributions
are a little staggered: -
11:05 - 11:08the men's average is a little higher
than the women's. -
11:08 - 11:12You could say that men are, on average,
more aggressive than women. -
11:12 - 11:15But, the two distributions
overlap quite a lot, -
11:15 - 11:17so there are also a lot of women
-
11:17 - 11:19who are more aggressive than a lot of men.
-
11:19 - 11:22You could say,
"This difference is so small -
11:22 - 11:24that it has literally no importance."
-
11:24 - 11:25If we see the data in a different way,
-
11:25 - 11:28if we interest ourselves
in the proportion of men and women -
11:28 - 11:31that go above a certain score,
in the lower scores, -
11:31 - 11:33we have one man for one woman,
-
11:33 - 11:36but when we get to the scores
that are average, -
11:36 - 11:38we have two men for one woman.
-
11:38 - 11:41When we get to 150,
it is four men for one woman. -
11:41 - 11:43And at 200, we have eight men
for one woman. -
11:43 - 11:46The number is perhaps linked
to another statistic, -
11:46 - 11:48which is the perpetrators of homicide.
-
11:48 - 11:50There are about ten men for one woman.
-
11:50 - 11:55So we see through this example
that even when an average difference -
11:55 - 11:59is very small and there is a large overlap
between the two distributions, -
11:59 - 12:03there can be very significant consequences
on a societal level. -
12:03 - 12:04So, we have spoken
-
12:04 - 12:07about the cognitive differences
between genders, -
12:07 - 12:08about differences of personality.
-
12:08 - 12:10There are also differences of preference.
-
12:10 - 12:13That is to say that spontaneously,
men and women -
12:13 - 12:16are attracted to different objects
and activities. -
12:16 - 12:20And these differences
are observed from infancy. -
12:20 - 12:23From the nursery playgrounds,
we can clearly see that boys -
12:23 - 12:28are attracted to games that are a little
more active, competitive, rowdy, -
12:28 - 12:31while girls will be more attracted
by calmer games -
12:31 - 12:34that are also more social and cooperative.
-
12:34 - 12:36These are stereotypes,
but also observations -
12:36 - 12:38that can be made in very young childen.
-
12:38 - 12:41Obviously, you can think
that the way in which we educate -
12:41 - 12:45boys and girls is not unrelated
to these observations. -
12:45 - 12:48But can they explain
these differences entirely? -
12:48 - 12:50Can the biases in education explain
-
12:50 - 12:52these differences completely?
-
12:53 - 12:56Well, to be sure, it is necessary
to watch younger children, -
12:56 - 12:58with appropriated methodologies.
-
12:58 - 13:02For example, in my laboratory,
we have methods to study -
13:02 - 13:04the infant's perception.
-
13:04 - 13:08For example, you can see
if the infant prefers to look -
13:08 - 13:12longer at one visual stimulus or another.
-
13:12 - 13:15What you observe in this kind
of experiment is that babies, -
13:15 - 13:19when they are girls, will prefer
to look longer at the female face, -
13:19 - 13:21but when it is boys,
they will prefer to look longer -
13:21 - 13:26at this abstract image,
which you do not see, -
13:26 - 13:29but there is a string with a ball
that is hanging - a kind of mobile. -
13:29 - 13:33You see that from the youngest age,
as it so happens, the experiment shows -
13:33 - 13:35that from birth, boys and girls already
-
13:35 - 13:38have preferences for different objects.
-
13:40 - 13:44You also see some differences
concerning cognitive capacities, -
13:44 - 13:47like the previous mental rotation
in space. -
13:47 - 13:51So the 3D object is shown
to this baby and then is turned -
13:51 - 13:53and presented in different orientations.
-
13:53 - 13:57Then, after a few seconds,
the mirror image of this object is shown. -
13:57 - 14:00So it is no longer the same
as the rotated object. -
14:00 - 14:04What you observe is that baby boys
notice the difference, -
14:04 - 14:08and that is shown through an increase
in the amount of time they watch -
14:08 - 14:09the new object.
-
14:09 - 14:12While the girls, you see
on the two left lines, do not show -
14:12 - 14:15any difference in the amount of time
they watch. -
14:15 - 14:16So, in theory, they do not
-
14:16 - 14:19notice the difference between
the object and its mirror image. -
14:19 - 14:23These are experiments that were
performed between three and five months, -
14:23 - 14:26otherwise said, at an age where
it is still not very plausible -
14:26 - 14:30that the cognition of these babies
has already been biased -
14:30 - 14:33by different treatments
between boys and girls. -
14:33 - 14:37So, if there can be differences
as early as this, where do they come from? -
14:37 - 14:41Well, we have a small idea
of the mechanisms that are at work. -
14:41 - 14:43You know that genetic differences exist
-
14:43 - 14:47between men and women
in their sexual chromosomes. -
14:47 - 14:52The fact that the male fetus possesses
a Y chromosome will differentiate -
14:52 - 14:55their testicular gonads, very early,
-
14:55 - 14:57and their testicles will secrete
testosterone, -
14:58 - 15:02that will progressively soak
into the tissues -
15:02 - 15:06by reaching a peak around
15 weeks of pregnancy. -
15:06 - 15:11But if you look at the dotted line
at the bottom, in the female fetuses, -
15:11 - 15:15the testosterone remains at zero
all throughout development. -
15:15 - 15:17The fact this testosterone
soaks into all the tissues -
15:17 - 15:22will masculinize the tissues,
will change the cells slightly -
15:22 - 15:25to have them take on a form
which is specific for the male sex. -
15:25 - 15:29This phenomenon is also produced
in the brain and drives structural -
15:29 - 15:34and functional differences,
and behavioral differences. -
15:34 - 15:37These things are very well
demonstrated in different -
15:37 - 15:40animal species because in the animal,
we can conduct experiments -
15:40 - 15:43where we manipulate the rate
of fetal testosterone. -
15:43 - 15:46You can imagine though
that we don't authorize these experiments -
15:46 - 15:49on human beings and consequently,
there isn't formal proof -
15:49 - 15:52that the exact same thing
happens with humans. -
15:52 - 15:54Despite everything, we do know
-
15:54 - 15:56that the human being's biology
is compatible -
15:56 - 16:00with the idea that the same mechanisms
are at work in the human being. -
16:00 - 16:04So, in summary, you saw, yes,
cognitive differences -
16:04 - 16:08between men and women do clearly exist.
-
16:09 - 16:10They are not enormous,
-
16:10 - 16:12they are moderate sized,
or otherwise said, -
16:12 - 16:15they don't justify distribution
of differentiated roles -
16:15 - 16:18between men and women in society.
-
16:18 - 16:20But they are credible.
-
16:20 - 16:24Some of them can be observed
from infancy, even from birth, -
16:24 - 16:26and we begin to recognize,
at least partially, -
16:26 - 16:30their cerebral foundations
and hormonal and genetic origins. -
16:32 - 16:33So, there are differences.
-
16:33 - 16:35So what?
-
16:36 - 16:40Does that justify discrimination
of women in employment, paying them less? -
16:40 - 16:42Obviously not!
-
16:42 - 16:45Because there are differences,
nothing justifies this discrimination, -
16:45 - 16:48whatever the differences highlighted.
-
16:49 - 16:51So it is clear that we are actually
bloody wrong. -
16:52 - 16:57It's a matter of confusion between
equality in law and equality in practice. -
16:57 - 17:00When you say that human beings
are born free and equal in law, -
17:00 - 17:04you're not observing a fact,
you're affirming a value. -
17:04 - 17:07We wanted to continue to affirm this value
-
17:07 - 17:09whatever the observation that can be made,
-
17:09 - 17:13and whatever the differences
that can be observed between individuals. -
17:13 - 17:17Because, in any case,
differences are everywhere, -
17:17 - 17:18and they will always be there.
-
17:18 - 17:22We are all different and, actually,
so that we all can be equal, -
17:22 - 17:24it would be necessary
that we all be clones, -
17:24 - 17:25and so all the same gender,
-
17:25 - 17:29and, furthermore, everyone would be raised
-
17:29 - 17:31in the exact same laboratory conditions.
-
17:31 - 17:33Does that appeal to anyone?
-
17:33 - 17:34No? Good.
-
17:34 - 17:37So differences are everywhere.
-
17:37 - 17:40Finally, this is also what makes
human life interesting. -
17:40 - 17:44It's diversity and this is also
what makes it possible to hope that rather -
17:44 - 17:48than being afraid of our differences,
we can try to capitalize on them -
17:48 - 17:52and recognize that we also have qualities
that are able to complement one another. -
17:52 - 17:57Elsewhere, the idea of justice and equity
is still more important. -
17:57 - 18:02What is unjust is to devalue
a person evaluating them -
18:02 - 18:05based on average qualities,
real or assumed, -
18:05 - 18:08of the gender or of the group
to which they belong. -
18:08 - 18:13This is fundamentally unjust,
while justice is simply evaluating people -
18:13 - 18:16on the basis
of their individual qualities, -
18:16 - 18:21independent of their gender
or another group that they belong to. -
18:21 - 18:23To conclude, I think that this
is what is necessary -
18:23 - 18:25to vindicate for women.
-
18:25 - 18:28It's not de facto equality
in every aspect with men. -
18:28 - 18:31It's equality in law,
and that is justice and equity. -
18:31 - 18:32Thank you.
-
18:32 - 18:35(Applause)
- Title:
- Does the brain have a gender? | Franck Ramus | TEDxClermont
- Description:
-
This talk was given at a local TEDx event, produced independently of the TED Conferences.
Do men come from Mars and women from Venus? Are there actual differences in cognitive and brain function between genders? If there are, what are they and where do they come from? Education? Social conditioning? Hormones? Genes? Science provides a great deal of factual data allowing to take up these questions without getting trapped by stereotypes and ideologies.
Franck is the research director at CNRS (National Centre for Scientific Research) and a psychology professor at the department of cognitive studies at the École Normale Supérieure de Paris. His research focuses on children's language acquisition and their handicaps (dyslexia, language disorder, autism).
- Video Language:
- French
- Team:
- closed TED
- Project:
- TEDxTalks
- Duration:
- 18:57
Ivana Korom approved English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont | ||
Ivana Korom edited English subtitles for Le cerveau a-t-il un sexe ? | Franck RAMUS | TEDxClermont |
Denise RQ
Task returned to https://amara.org/es/profiles/profile/phaedra_vandersteen/