The advantage of the quote in the headline is that it allows the person saying it to feel more positive about his or her own worldview, while side-stepping the real issue. Pascal-Emmanuel Gobry looks at a new report that addresses this issue:
I have had the following experience more than once: I am speaking with a professional academic who is a liberal. The subject of the under-representation of conservatives in academia comes up. My interlocutor admits that this is indeed a reality, but says the reason why conservatives are under-represented in academia is because they don’t want to be there, or they’re just not smart enough to cut it. I say: “That’s interesting. For which other under-represented groups do you think that’s true?” An uncomfortable silence follows.
I point this out not to score culture-war points, but because it’s actually a serious problem. Social sciences and humanities cannot be completely divorced from the philosophy of those who practice it. And groupthink causes some questions not to be asked, and some answers not to be overly scrutinized. It is making our science worse. Anyone who cares about the advancement of knowledge and science should care about this problem.
That’s why I was very gratified to read this very enlightening draft paper [PDF] written by a number of social psychologists on precisely this topic, attacking the lack of political diversity in their profession and calling for reform. For those who have the time and care about academia, the whole thing truly makes for enlightening reading. The main author of the paper is Jonathan Haidt, well known for his Moral Foundations Theory (and a self-described liberal, if you care to know).
Although the paper focuses on the field of social psychology, its introduction as well as its overall logic make many of its points applicable to disciplines beyond social psychology.
The authors first note the well-known problems of groupthink in any collection of people engaged in a quest for the truth: uncomfortable questions get suppressed, confirmation bias runs amok, and so on.
But it is when the authors move to specific examples that the paper is most enlightening.
