1) Search browser history, look for porn. 2) If porn site = true, gender = male 3) else gender = female
(Or you work at a corporate job.)
Imagine an advertiser detecting which sites you've been to, and serving different ads based on what it finds.
Edit: the author of the script thought of it: http://azarask.in/blog/post/socialhistoryjs/ and it's bugzilla 147777 https://bugzilla.mozilla.org/show_bug.cgi?id=147777
Oh.
Not a problem for me, though, since newegg.com, pricewatch.com, ubuntuforums, etc all have 2+ ratios of men to women. Hah. (I'm male)
:(
Likelihood of you being FEMALE is 45% Likelihood of you being MALE is 55%
Apparently, my surfing habits are androgynous.
Likelihood of you being FEMALE is 57%
Likelihood of you being MALE is 43%
Site Male-Female Ratio
google.com 0.98
commerceonline.com 0.77