Comment Re:But, as the feminists say.. (Score 3, Interesting) 333
I'm completely for stopping all kinds of discrimination, but when you're taking things from the grandchildren of the people who actually performed the discrimination, you're doing it wrong.
Yup. And if you introduce systemic biases (quotas, lowered entrance requirements, etc.) to encourage girls to do something, then invariably some of those girls will be less qualified than the boys who get excluded. When the boys notice this (and they will), then they'll start to assume that all girls are less qualified. And thanks to confirmation bias, this perception will tend to strengthen over time, because they'll always notice the underqualified women and won't notice the qualified women. Thus, in the long run, using reverse biasing to counter discrimination almost invariably leads to more discrimination, not less.
And although it is unclear whether contests that are strictly for women will have the same effect, at a minimum, they'll cause envy, which is almost certainly not an effective way to encourage men to take women in STEM more seriously.
You can't fix discrimination with more discrimination. The only way to fix discrimination is with marketing—by hyping the heck out of members of underrepresented groups who are good at what they do, so that they'll serve as examples for other people in those underrepresented groups, and will encourage them to work harder to overcome the discrimination and take jobs in particular fields. This approach is also the only way to counteract the confirmation bias that is the source of nearly all discrimination—by repeatedly showing examples that contradict the biased expectations, and by showing those counterexamples far more often than they see confirmatory examples.
For example, if you want to get more girls into a contest like this, when you advertise the contest, use mostly pictures of girls. Don't change the rules; don't change the requirements; change the image you project. Unlike every other strategy, this works, and has been repeatedly proven to work through decades of advertising research.