Gender hierarchy in online dating photos psp updating software
For instance, it’s possible that the men in the top 20% of attractiveness were attractive and smiling, and the men in the bottom 20% of attractiveness were unattractive and not smiling.
This leaves only smiling ugly guys at the bottom of the spectrum and grumpy hot guys at the top, making it look like being grumpy makes you hot.
This tip originated on the Ok Cupid’s Ok Trends blog in January 2010.
Is it likely that trends found among a very specific niche of male daters long ago — those who chose to upload only one photo and no profile text to Ok Cupid in 2009 — could translate to a viable Tinder strategy for all men in 2017?Using the massive stores of data on our platform, we set out to reproduce Ok Cupid’s process (as laid out by the Myths of Profile Pictures post). And in Ok Cupid’s case, it’s reasonable to assume that they got the interesting result they wanted, in part, by cutting out particular populations from their data set. Why did Ok Cupid eliminate users outside of the ages of 18 and 32?We narrowed the demographics of our data set accordingly, matching their 7,140-photo sample. Ok Cupid used a sample of 7,140 photographs from users aged 18-32, in big cities, possessing average attractiveness (that is, they lopped off the top and bottom 20%), and who had profiles containing only one photo and no text. Why did they eliminate users who were most and least attractive?Ours says that whether you smile or not makes no statistically-significant difference (except in the case of eye contact and no smile, which is harmful). They just didn’t get as interesting of a result that way.Here are some possible reasons behind the differing results. Back in 2010, no one would publish “smiling works great in dating photos!! The over-sifting of the data set likely obscured other trends that were more responsible for profile success than the photo characteristics the study claimed to be measuring.