This is pretty cool. Click the link and you are taken to a site which analyses your browsing history to assess how likely you are to be male or female. The idea is that men and women have different likelihoods of visiting certain websites, and so using that information backwards, you can tell a user how male or female their browsing is.
A reader of Andrew Sullivan’s points out:
An interesting irony of it is that the highest ratios you can get are from gay websites (adam4adam is 4.13 as a commenter points out) which ironically means that, in that world, a lot of gay men get a 100% while most heterosexual male get at least something like a 10% female side.
I got 69% male at home, but on my work computer I got 57%, which means I’m fully 12% more in touch with my feminine side at work. I do live with my girlfriend, but also two gay guys, while my office has mostly women and straight guys. Maybe the more feminised context of the office affects what I am interested in online, and probably much more besides?
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