Anaylysis of pictures and dating sites dating someone 14 years older
After all, Ok Cupid’s findings were based on behavior, not just talk, right? Like everyone else, we believed in Ok Cupid’s conclusions. But every time we looked into this, we found the same thing: daters who used Photofeeler for photo testing were getting right-swipes like never before.But the more data we collected about men’s dating photo attractiveness, the more it became undeniable: Ok Cupid’s advice wasn’t raising men’s photo scores. In fact, users reported 3-5x (200-400%) more matches!TL; DR: OKCupid’s study on male dating photos fails reproducibility If you’re a guy who uses online dating sites/apps, you’ve probably heard this one: don’t smile in your picture.Better yet, don’t smile and look away from the camera.One Reddit commenter put it this way: Further — everywhere men floated the “don’t smile in pictures” advice, many women decried how much they hated these nonsmiling pictures.But, the men countered, women don’t necessarily know what they want.
Finally, we used Photofeeler attractiveness ratings to gauge the success of the various photo types (smiling, not smiling, eye contact, no eye contact). our own: Ok Cupid’s data said that not smiling and not making eye contact was better. They didn’t have to “fear” anything because, in all likelihood, they first ran their numbers with these populations included.
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?
via GIPHY Not to mention, the metric they were using to gauge a male dater’s profile effectiveness (“women met per attempt”) is a wildly varying and unbounded metric; one guy with a particularly interesting photo that gets one unsolicited message per day could have easily made their whole result. In data science, we know it can be difficult to find consistent trends even between visitors of the same website from one week to the next.
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?
We hypothesize that the publicity of Ok Cupid’s results gave rise to a new type of dating photo within which the subject is purposefully avoiding smiling and eye contact, in which the subject seems to be awkwardly looking in another direction for no apparent reason.