9 Ugly Lessons About Sex From Big Data | TIME

Interesting example of big data and some reminders that we are not yet living in a post-racial society:

5. According to Rudder’s research, Asian men are the least desirable racial group to women…On OkCupid, users can rate each other on a 1 to 5 scale. While Asian women are more likely to give Asian men higher ratings, women of other races—black, Latina, white—give Asian men a rating between 1 and 2 stars less than what they usually rate men. Black and Latin men face similar discrimination from women of different respective races, while white men’s ratings remain mostly high among women of all races.

6. …And black women are the least desirable racial group to men.Pretty much the same story. Asian, Latin and white men tend to give black women 1 to 1.5 stars less, while black men’s ratings of black women are more consistent with their ratings of all races of women. But women who are Asian and Latina receive higher ratings from all men—in some cases, even more so than white women.

8. Your Facebook Likes reveal can reveal your gender, race, sexuality and political views.A group of UK researchers found that based on someone’s Facebook Likes alone, they can tell if a user is gay or straight with 88% accuracy; lesbian or straight, 75%; white or black, 95%; man or woman, 93%; Democrat or Republican, 85%.

9 Ugly Lessons About Sex From Big Data | TIME.

About Andrew
Andrew blogs and tweets public policy issues, particularly the relationship between the political and bureaucratic levels, citizenship and multiculturalism. His latest book, Policy Arrogance or Innocent Bias, recounts his experience as a senior public servant in this area.

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