Look dating photos
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?
Since Ok Cupid published their data in support of not smiling in pics, the tip has been quoted as gospel truth on dating advice blogs, PUA podcasts, dozens of dating subreddits, forums, everywhere.
But, at the same time, widespread skepticism rose too.
Then we ran each picture through a variety of analysis scripts (in our case, neural nets that detected smiles and eye contact) as well as tagged each one by hand until total agreement was reached. The explanation given (that they “[feared it] would skew [their] results”) is no explanation at all.
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.
But the number of men who were not smiling and looking away (especially in early 2010, before Ok Cupid advised it) would be in the hundreds at most.
Even today, less than 15% of photos have no eye contact.
Further, what kind of man uploads one photo and no profile text?Perhaps it’s this personality type (not the photo’s characteristics out of context) that speak to which photo strategies worked best for him.Finally, let’s chat for a moment about what happens when a highly popular dating site disseminates misinformation about what works best in guy’s dating pics: a new class of male dating photos is born.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?