Gender Estimate Via Browser History

Using your browser URL history to estimate gender

Use the tool at the above link to see if you can be profiled by sex according to your browser history.

According to the comments below the article and analyzer, this thing is pretty accurate. As is often the case, I bring down the average.

My browsing history:

Site Male-Female Ratio
youtube.com 1
wikipedia.org 1.08
amazon.com 0.9
facebook.com 0.83
blogger.com 1.06
imdb.com 1.06
washingtonpost.com 1.15
foodnetwork.com 0.63
drudgereport.com 2.08
hotmail.com 0.83
nfl.com 1.5
excite.com 1.13
startsampling.com 0.32
dallascowboys.com 1.56
megamillions.com 1.27
angieslist.com 0.77
wiley.com 0.89

I had just checked angieslist after seeing an advert on TV (no listings for this area) and had plugged in "wiley" into the address bar to check the spelling for a previous post. (It's spelled "wily", duh) I had also checked the Mega Millions site because I had a ticket for the $200 million+ jackpot. (and as hard as it was to get into the site, so did 200 million other people) The rest of the sites I visit nearly every day.

My results:

Likelihood of you being FEMALE is 54%
Likelihood of you being MALE is 46%

So I guess this means if I want to get in touch with my feminine side, I won't have to go very far.