Lawrence Summers speech

1. Maybe it would be helpful to just, for a moment, broaden the problem, or the issue, beyond science and engineering. I've had the opportunity to discuss questions like this with chief executive officers at major corporations, the managing partners of large law firms, the directors of prominent teaching hospitals, and with the leaders of other prominent professional service organizations, as well as with colleagues in higher education. In all of those groups, the story is fundamentally the same. Twenty or twenty-five years ago, we started to see very substantial increases in the number of women who were in graduate school in this field. Now the people who went to graduate school when that started are forty, forty-five, fifty years old. If you look at the top cohort in our activity, it is not only nothing like fifty-fifty, it is nothing like what we thought it was when we started having a third of the women, a third of the law school class being female, twenty or twenty-five years ago. And the relatively few women who are in the highest ranking places are disproportionately either unmarried or without children, with the emphasis differing depending on just who you talk to. And that is a reality that is present and that one has exactly the same conversation in almost any high-powered profession. What does one make of that? I think it is hard-and again, I am speaking completely descriptively and non-normatively-to say that there are many professions and many activities, and the most prestigious activities in our society expect of people who are going to rise to leadership positions in their forties near total commitments to their work. They expect a large number of hours in the office, they expect a flexibility of schedules to respond to contingency, they expect a continuity of effort through the life cycle, and they expect-and this is harder to measure-but they expect that the mind is always working on the problems that are in the job, even when the job is not taking place. And it is a fact about our society that that is a level of commitment that a much higher fraction of married men have been historically prepared to make than of married women. That's not a judgment about how it should be, not a judgment about what they should expect. But it seems to me that it is very hard to look at the data and escape the conclusion that that expectation is meeting with the choices that people make and is contributing substantially to the outcomes that we observe. One can put it differently. Of a class, and the work that Claudia Goldin and Larry Katz are doing will, I'm sure, over time, contribute greatly to our understanding of these issues and for all I know may prove my conjectures completely wrong. Another way to put the point is to say, what fraction of young women in their mid-twenties make a decision that they don't want to have a job that they think about eighty hours a week. What fraction of young men make a decision that they're unwilling to have a job that they think about eighty hours a week, and to observe what the difference is. And that has got to be a large part of what is observed. Now that begs entirely the normative questions-which I'll get to a little later-of, is our society right to expect that level of effort from people who hold the most prominent jobs? Is our society right to have familial arrangements in which women are asked to make that choice and asked more to make that choice than men? Is our society right to ask of anybody to have a prominent job at this level of intensity, and I think those are all questions that I want to come back to. But it seems to me that it is impossible to look at this pattern and look at its pervasiveness and not conclude that something of the sort that I am describing has to be of significant importance. To buttress conviction and theory with anecdote, a young woman who worked very closely with me at the Treasury and who has subsequently gone on to work at Google highly successfully, is a 1994 graduate of Harvard Business School. She reports that of her first year section, there were twenty-two women, of whom three are working full time at this point. That may, the dean of the Business School reports to me, that that is not an implausible observation given their experience with their alumnae. So I think in terms of positive understanding, the first very important reality is just what I would call the, who wants to do high-powered intense work?
The second thing that I think one has to recognize is present is what I would call the combination of, and here, I'm focusing on something that would seek to answer the question of why is the pattern different in science and engineering, and why is the representation even lower and more problematic in science and engineering than it is in other fields. And here, you can get a fair distance, it seems to me, looking at a relatively simple hypothesis. It does appear that on many, many different human attributes-height, weight, propensity for criminality, overall IQ, mathematical ability, scientific ability-there is relatively clear evidence that whatever the difference in means-which can be debated-there is a difference in the standard deviation, and variability of a male and a female population. And that is true with respect to attributes that are and are not plausibly, culturally determined. If one supposes, as I think is reasonable, that if one is talking about physicists at a top twenty-five research university, one is not talking about people who are two standard deviations above the mean. And perhaps it's not even talking about somebody who is three standard deviations above the mean. But it's talking about people who are three and a half, four standard deviations above the mean in the one in 5,000, one in 10,000 class. Even small differences in the standard deviation will translate into very large differences in the available pool substantially out. I did a very crude calculation, which I'm sure was wrong and certainly was unsubtle, twenty different ways. I looked at the Xie and Shauman paper-looked at the book, rather-looked at the evidence on the sex ratios in the top 5% of twelfth graders. If you look at those-they're all over the map, depends on which test, whether it's math, or science, and so forth-but 50% women, one woman for every two men, would be a high-end estimate from their estimates. From that, you can back out a difference in the implied standard deviations that works out to be about 20%. And from that, you can work out the difference out several standard deviations. If you do that calculation-and I have no reason to think that it couldn't be refined in a hundred ways-you get five to one, at the high end. Now, it's pointed out by one of the papers at this conference that these tests are not a very good measure and are not highly predictive with respect to people's ability to do that. And that's absolutely right. But I don't think that resolves the issue at all. Because if my reading of the data is right-it's something people can argue about-that there are some systematic differences in variability in different populations, then whatever the set of attributes are that are precisely defined to correlate with being an aeronautical engineer at MIT or being a chemist at Berkeley, those are probably different in their standard deviations as well. So my sense is that the unfortunate truth-I would far prefer to believe something else, because it would be easier to address what is surely a serious social problem if something else were true-is that the combination of the high-powered job hypothesis and the differing variances probably explains a fair amount of this problem.
This is only a small portion of the speech. You can view the rest at http://www.president.harvard.edu/speeches/2005/nber.html
Summers, Lawrence. Address. Harvard University. Cambridge, MA.14 Jan. 2005 .

2. The media item is a speech of former Harvard president Lawrence Summers about why there are dramatically fewer women in science and math careers than there are men. The reasons that he talks about in his speech are that the jobs are too much work for them and they aren’t as capable to keep up especially with children, their lesser intelligence at the high end, and the socialization and discrimination that leads women to believe that those jobs are for men. The reason that I chose this was because I had to do a Psychology assignment on an article related to this speech and I was kind of interested in it. Then after thinking about it I realized it also related to our class.
3. I think that this speech relates to the reading “Privilege, Oppression, and Difference.” In this article it was discussed that men have more power and privilege over women. Two of the main areas of discrimination that we discussed in class were in the job force and in education. We talked about how women with the same credentials as men often lose out to men in the hiring process. This is also true with regards into graduate schools around the nation. Summers echoes these discriminatory claims in his speech when he says, “It does appear that on many, many different human attributes-height, weight, propensity for criminality, overall IQ, mathematical ability, scientific ability-there is relatively clear evidence that whatever the difference in means-which can be debated-there is a difference in the standard deviation, and variability of a male and a female population.” With this statement he is pretty much saying that one reason men are more prevalent in high paying jobs within science and math is because men are as a whole smarter than women in these areas. He clearly has a stereotype that men are better inclined to be successful in these areas. He, as the president of Harvard, is a very powerful person in regards to education. He also exclaimed in his speech, “They expect a large number of hours in the office, they expect a flexibility of schedules to respond to contingency, they expect a continuity of effort through the life cycle, and they expect-and this is harder to measure-but they expect that the mind is always working on the problems that are in the job, even when the job is not taking place. And it is a fact about our society that that is a level of commitment that a much higher fraction of married men have been historically prepared to make than of married women.” With this statement, he is saying that men are more capable to work many hours than women in these high power jobs. But he does mention that we are socialized to think that women need to stay at home and take care of the kids. If women were not socially encouraged to stay at home and look after the house and the kids, than maybe more women would become scientists and engineers.
4. I personally do not agree with him that men are more intelligent than women in science and mathematical areas. I think the main reason you see less women in these professions is because they are socially influenced not to desire these professions. I believe that women are just as capable as men to be scientists or engineers. Another factor that was mentioned in his speech was that people tend to hire people like themselves for positions. So white male scientists hire other white males. This discrimination is another reason there is a big disparity. Lawrence Summers was fired after this speech. He did suggest that men were more intelligent than women in those areas, but I don’t think his overall speech was meant to degrade women. I think he pointed out a couple key points and I don’t think he deserved to be fired.