In case you were curious. (Ccf Razib. who is nearly 100% dude.)
This is from a site that investigates your browser history in relation to known gender data for visitation of a group of top visited sites. This information is then used to estimate your gender. This is cool because it uses interesting javascript and some basic math. Here are my results:
Likelihood of you being FEMALE is 55%
Likelihood of you being MALE is 45%
| Site | Male-Female Ratio |
| google.com | |
| youtube.com | |
| amazon.com | |
| cnn.com | |
| comcast.net | |
| comcast.com | |
| digg.com | |
| real.com | |
| bbc.co.uk | |
| aa.com | |
| barackobama.com | |
| perezhilton.com | |
| npr.org | |
| umn.edu | |
| startribune.com | |
| nintendo.com | |
| guardian.co.uk | |
| timesonline.co.uk | |
| stumbleupon.com | |
| icanhascheezburger.com | |
| akc.org | |
| openoffice.org | |
| tinyurl.com | |
| scienceblogs.com | |
| wcco.com | |
| harpercollins.com |
My analysis: As a blogger, most of my site visitations are determined by blogging. You will find an interesting correspondence between what is on this list and the topics of blogging over the last few weeks.




