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Determining Gender based on browsing history.

An interesting bit-o-javascript posted by Mike-On-Ads that exploits an age old trick of leaking out the browsers navigated history. Armed with the info a cunning developer can workout what gender the viewer is.

The blog posting on the site explains the method used and allows you to try it out. Give it a ago and see how accurate it is 🙂

Here are my results:

Likelihood of you being FEMALE is 34%
Likelihood of you being MALE is 66%

Site Male-Female Ratio
slashdot.org 1.74
theage.com.au 1.13

Damn, I knew I shouldnt be browsing SlashDot that much, atleast it wasnt Cosmopolitan or Womens Weekly (ooops!). Unfortunately, only my current session records the history as I clear my page history when firefox closes. I’ll have to try it again and see if it changes.

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