Flashback Friday.
Add to the list of new books to read Delusions of Gender: How Our Minds, Society, and Neurosexism Create Difference, by Cordelia Fine. Feeding my interest in the issue of sexual dimorphism in humans — which we work so hard to teach to children — the book is described like this:
Drawing on the latest research in neuroscience and psychology, Cordelia Fine debunks the myth of hardwired differences between men’s and women’s brains, unraveling the evidence behind such claims as men’s brains aren’t wired for empathy and women’s brains aren’t made to fix cars.
Good reviews here and here report that Fine tackles an often-cited study of newborn infants’ sex difference in preferences for staring at things, by Jennifer Connellan and colleagues in 2000. They reported:
…we have demonstrated that at 1 day old, human neonates demonstrate sexual dimorphism in both social and mechanical perception. Male infants show a stronger interest in mechanical objects, while female infants show a stronger interest in the face.
And this led to the conclusion: “The results of this research clearly demonstrate that sex differences are in part biological in origin.” They reached this conclusion by alternately placing Connellan herself or a dangling mobile in front of tiny babies, and timing how long they stared. There is a very nice summary of problems with the study here, which seriously undermine its conclusion.
However, even if the methods were good, this is a powerful example of how a tendency toward difference between males and females is turned into a categorical opposition between the sexes — as in, the “real differences between boys and girls.”
To illustrate this, here’s a graphic look at the results in the article, which were reported in this table:
They didn’t report the whole distribution of boys’ and girls’ gaze-times, but it’s obvious that there is a huge overlap in the distributions, despite a difference in the means. In the mobile-gaze-time, for example, the difference in averages is 9.7 seconds, while the standard deviations are more than 20 seconds. If I turn to my handy normal curve spreadsheet template, and fit it with these numbers, you can see what the pattern might look like (I truncate these at 0 seconds and 70 seconds, as they did in the study):
Source: My simulation assuming normal distributions from the data in the table above.
All I’m trying to say is that the sexes aren’t opposites, even if they have some differences that precede socialization.
If you could show me that the 1-day-olds who stare at the mobiles for 52 seconds are more likely to be engineers when they grow up than the ones who stare at them for 41 seconds (regardless of their gender) then I would be impressed. But absent that, if you just want to use such amorphous differences at birth to explain actual segregation among real adults, then I would not be impressed.
Originally posted in September, 2010.
Philip N. Cohen is a professor of sociology at the University of Maryland, College Park. He writes the blog Family Inequality and is the author of The Family: Diversity, Inequality, and Social Change. You can follow him on Twitter or Facebook.
Comments 27
MarissaAO — September 13, 2010
Excellent! I've seen this kind of criticism of "sex difference" studies before, but it's always good to see more of it.
angelica — September 13, 2010
"If you could show me that the 1-day-olds who stare at the mobiles for 52 seconds are more likely to be engineers when they grow up than the ones who stare at them for 41 seconds (regardless of their gender) then I would be impressed. "
This is a total tangent, but the only apparently pre-social characteristic of neonates that has been demonstrated to have any predictive value for "intelligence" (and yeah, I'm fully aware how problematic that term is) in later life is speed of accustomisation to external stimuli. So incidentally if anything, assuming that "engineer" is taken to be a job requiring some brainpower, staring at the mobile for less time would suggest a child more likely to work as an engineer when older.
links for 2010-09-13 « Embololalia — September 13, 2010
[...] Guest Post: Delusions of Dimorphism » Sociological Images If you could show me that the 1-day-olds who stare at the mobiles for 52 seconds are more likely to be engineers when they grow up than the ones who stare at them for 41 seconds (regardless of their gender) then I would be impressed. But absent that, if you just want to use such amorphous differences at birth to explain actual segregation among real adults, then I would not be impressed. (tags: neuroscience gender) [...]
Bagelsan — September 13, 2010
Yeesh, it looks like Table 2 showed "significant" differences but I'm (perhaps unreasonably) leery about those tiny n-values. If I were going to generalize about 7 billion people I'd want more than 102 test subjects, yanno? :p
Also a great example of how "significant" != important or large or meaningful in any way.
Lindsey — September 13, 2010
Can we talk about the standard deviation? According to Table 2, the standard deviations for every condition was ABOVE 20! That's totally insane. I work in a behavioral neuroscience lab, and if we got data that varied, we couldn't publish a thing.
Basically, this looks like shit science.
(P.S. Standard deviation and standard error are measures of error. The bigger the number, generally speaking, the flimsier the results)
Natasha — September 13, 2010
I'm just lusting over the normal curve spreadsheet template. Anyone know where I could get my hands on something that I could plug means and standard devs into to get simulated normal curves? Lovely.
Molly — September 14, 2010
A little rant: I really hate the phrase "hard-wired" being used to describe social behavior in popular articles. It's usually (though not always) about gender, and it indicates to me that the writers/editors of the publication simplified for the lowest common denominator some findings that were probably already simplified for the non-scientific community.
There's just not a lot that we do socially that's not complex on some level; denying that fact, even just via the language we use, has real-life consequences like sexism and racism (etc etc etc), so this is more than a personal pet peeve. Silver lining: Seeing "hard wired" reminds me that popular media are always reporting some interpretation of reality, not reality itself...so I guess that's something.
Brian — September 14, 2010
It isn't news, I guess, that boys and girls, or men and women, are more or less the same, except in the tails of the distribution.
But it doesn't turn up in sociology because reactionaries want to treat them as fundamentally different, and progressives want to treat them as separate classes and all that entails, and so few people end up arguing the point that saying "Women behave in X fashion", or "Men behave in Y fashion", is basically always rubbish.
Siren — September 16, 2010
I think the entire reasoning behind the study is sketchy. Exactly why does mobile = engineering skills and face = emotional attachment? Because the researcher wants it to? If the mobile and the face are meant to be symbols for something else, then you can't plausibly because symbols have different meanings to different people and in different cultures. So I could just as easily say that this means all the girls have a knack for plastic surgery and all the boys like to watch clothes spin around in the washing machine while they're doing laundry.
Also nevermind the fact that researchers who set out to prove something are often biased toward what they want to find. So I'm wondering if this researcher was aware of the sex of the children while testing them.
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[...] Studie ohnehin hier auseinandergenommen, aber selbst, wenn man die Ergebnisse voll anerkennt, kann man eine Verteilung finden, wie sie hier links dargestellt ist: die Unterschiede zwischen den [...]
Men vs. women « does not quite — October 3, 2010
[...] different in some ways — the problems lie in the way the research findings are framed. This post from Sociological Images talks about how sex differences are often framed as oppositional or [...]
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