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Tuesday, March 01, 2011

Megan McCardle on bias in academia:
It is just my impression, but I think what conservatives want most of all is simply recognition that they are being shut out. It is a double indignity to be discriminated against, and then be told unctuously that your group's underrepresentation is proof that almost none of you are as good as "us". Haidt notes that his correspondence with conservative students (anonymously) "reminded him of closeted gay students in the 1980s":
He quoted -- anonymously -- from their e-mails describing how they hid their feelings when colleagues made political small talk and jokes predicated on the assumption that everyone was a liberal. "I consider myself very middle-of-the-road politically: a social liberal but fiscal conservative. Nonetheless, I avoid the topic of politics around work," one student wrote. "Given what I've read of the literature, I am certain any research I conducted in political psychology would provide contrary findings and, therefore, go unpublished. Although I think I could make a substantial contribution to the knowledge base, and would be excited to do so, I will not."
Beyond that, mostly they would like academics to be conscious of the bias, and try to counter it where possible. As the quote above suggests, this isn't just for the benefit of conservatives, either. Just as excluding blacks and women from academia by tacit agreement allowed for a certain amount of wrong-headed groupthink, so does excluding people with different political views. No, I'm not saying you have to hire a Young Earth Creationist to be a biology professor, but I don't see why it should matter in a professor of Mathematics or Sociology.

Trying to be more conscious of one's own bias, and even to attempt to work against it, should not be such a hard task for people as brilliant, open-minded, and committed to equality and social justice as I keep hearing that liberal academics are.
And their attempts at explaining away the bias are pretty pathetic too, as Paul Krugman ably demonstrates by using statistics that simply don't prove his point at all. Read the whole thing.

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