I wrote a Tinder bot a couple of years ago and ran some interesting studies:<p>1) I placed a male profile in ~10 different cities, auto-swiped for a few days, and waited for matches and messages to flow in. I found the match/message rates to be significantly different for each city. Sample size of ~34,000 right swipes.<p>2) A/B test two female profiles with exact same photos and bio except 1 was a CEO and 1 was Graphic Designer. Swiped on 1000 men in NYC and 1000 men in SF.<p>3) A/B test two female profiles with exact same photos and bio except 1 was listed as 29 and 1 was listed as 31. Swiped on 1000 men in NYC and 1000 men in SF.<p>Through my experience in this, I can see the methodology they used in this study could be flawed. Specific concerns:<p>* While I don't have any real inside knowledge into Tinder's "recommendation" algorithm of who they show to you, I assume there is a strong preference to show active users first. So if they are swiping on hundreds of thousands of profiles, they are probably burning through the legitimately active users in a region pretty quickly... that's one reason why they get a lot of matches quickly and not as many matches over time and end up with a 0.6% match rate.<p>* The number of messages that guys send (at least as of 2 years ago when I ran my studies) is wildly more than women. The male profile was seeing an 11.8% match rate, and a message rate of 15.3% from the matches for an effective message rate of 1.8%. Whereas the women were getting an 81.5% match rate, with 63.9% message rate from those matches for an effective message rate of 52.1%.<p>* I believe there is now rate-limiting on the right swiping, so after ~100 or so right swipes, you have to wait 12 hours until right-swiping again. Really not sure how they could have made it through hundreds of thousands of profiles unless they paid for the premium membership.<p>Anyway, interesting stuff regardless, happy to release more data when I have time, if there is interest.
Finally, a topic I can consider myself some kind of expert in!<p>For the record, here are my credentials: I've tinder-valeted multiple guy friends, selecting women and conversing with them and warming things up for them. My friends happen to be across a wide variety of attractiveness and success spectrum.<p>Observations:<p>1. As is obvious, attractive/successful men get a lot more likes than women.<p>2. Guys who get lesser matches get increasingly desperate, and start liking everyone.<p>3. Being 'picky' for guys is hard work. It seems funny when I put it this way, but going through hundreds/thousand(s) of women, and even making a binary choice of yes/no is actually pretty tiring. Even my better guy friends have tended to go on the safer side and pick the earlier choices, because oh god it's a tiring head-aching process, even if you have a group of friends assisting you with the choice and the conversations.<p>Going through Tinder so much has made me very very very cynical either about people, or the kind of people on Tinder. We're all stereotypes. Really. One picture with mountain in the background, one with a beach, one in Europe, one with friends, one with pet/lonely pouty picture. Bios mentioning 1) 'sarcasm' 2) love of beer 3) love of scotch/whisky. Some mention their heights, most add ' I don't know why this matters but here it is'. Almost everyone desirable puts 'not into hookups', but rarely means it. So many other things. It was only after I started heavily using Tinder (for others) that I really appreciated meeting/dating people more in person/talking over the phone and got really into 'old school' dating.<p>Anyone else have very different experience?
21% of women sending a message first seems surprising. I only skimmed the paper, but it doesn't seem like they removed bots from their data. Back when I was single, the vast majority of women messaging first were bots.
A man can have 10 children in a day.<p>A woman can have 10 children in a lifetime.<p>Only this ridiculous age could be surprised by the behavioral outcomes of this basic fact.
I suppose a solution would be to somehow limit the number of right-swipes that can be made, or enforcing a swipe ratio. However, that would probably end up reducing overall usage of the app, so Tinder is unlikely to adopt such a strategy.