out 07 2008

Site discovers whether you are male or female because your browser history

I just saw esse post Tecnoblog on this site that deduces whether you are male or female analyzed the history of your browser.

Basically what it does is analyze your browsing history via a script, cross your data with a list of most visited sites in the United States, with the profile of visitors, in other words, data indicating whether the site is more seen by men or women.

I was happy to know I've been visiting only male site and therefore the script concluded with 100% I am sure man. 🙂

Follow the result:

Likelihood of you being FEMALE is 0%
Likelihood of you being MALE is 100%

SiteMale-Female Ratio
google.com0.98
yahoo.com0.9
live.com0.9
msn.com0.92
youtube.com1
wikipedia.org1.08
microsoft.com1.08
amazon.com0.9
adobe.com0.87
paypal.com1.04
wordpress.com0.98
usps.com0.9
digg.com1.56
barnesandnoble.com0.68
linkedin.com0.94
pricegrabber.com1.25
rapidshare.com2.51
bellsouth.com0.8
mininova.org1.63
perezhilton.com0.75
google.ca1.33
hotmail.com0.83
sony.com1.08
thepiratebay.org2.13
multiply.com1
dmoz.org0.96
archive.org1.11
filehippo.com1.67
feedburner.com1.11
godaddy.com1.17
alexa.com1.33
sendspace.com1.38
torrentz.com1.99
sapo.pt1.56
winamp.com1.5
gmail.com0.9
ieee.org1.63
nvidia.com1.99
dpreview.com1.99
mcgraw-hill.com0.72
fotolog.com1.08
nero.com1.99
creative.com1.53
cjb.net1.27
plaxo.com0.82
gamesforwindows.com1.13
orkut.com1.08
videohelp.com2.08
yousendit.com0.9
bluehost.com1.17
christianet.com0.63
towerhobbies.com2.28

Interestingly site has that list that not remember having accessed or accessed a long time ago, while lacking others it certainly recently accessed (perhaps because they are not in the list for which the data are crossed).

Permanent link to this article: https://www.skooterblog.com/2008/10/07/site-descobre-se-voce-e-homem-ou-mulher-pelo-historico-do-seu-navegador/

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