Month: October 2015

  • My unconsciously biased address book

    The 20% problem Earlier this year, I cleaned up my contacts and became interested in what the gender split would look like for my address book. Not only was it no better than my Twitter experiment from last year, the numbers were exactly the same. Of the just over 1,900 contacts in my primary address book, 399 are women. Last…

  • Using genderize.io to infer gender in a LinkedIn network

    A month or so ago, I got to wondering whether there was any way to determine the gender of my LinkedIn network. Surprisingly, LinkedIn doesn’t even ask for gender on sign-up, so I couldn’t just pull the info directly from LinkedIn. And I didn’t need a 100% accurate solution – I just wanted a directionally-useful…