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This new data supports a theory popularized by Hannah Fry, a mathematician at the UCL Centre for Advanced Spatial Analysis in London and author of the 2015 book "The Mathematics of Love." In the book, Fry describes the "stable marriage problem," or the challenge of matching two entities so that neither would be better off in another match, and explains the Gale-Shapley matching algorithm often used to solve it.
Exploiting this algorithm can be a great strategy for successful online dating.
chaios24, a late-20-something in a large East Coast city in the US, wrote that their profile "stated that I wasn't l looking for anything serious." As of January 9, the person was no longer single.
To be sure, this is just one person's experience, meaning it's hard to draw conclusions about online dating in general.
Online dating can be weird, and confusing, and frustrating — but if you're even a little bit of a data nerd, it's also a gold mine.
In January, Redditor chaios24 submitted a popular post to the subreddit r/dataisbeautiful titled "My 180 Days of Lesbian Online Dating." chaios24 shows the success rates of sending a message versus a GIF and of initiating a conversation versus responding to someone else.
Only nine of the 59 total threads analyzed ended in a date.
That's because women generally message men who are five points more attractive (as rated by OKCupid users) than they are, while they typically receive messages from men who are seven points less attractive than they are.
At the same time, OKCupid found that men currently send 3.5 times the number of messages women send, suggesting that few women are aware of the advantages of stepping up to the plate.
Ok Cupid used data from nearly 200,000 profiles for its Words and Politics analysis, which also found that liberals looking for love are vegetarians and conservatives like steak.
"Whether we’re aware of it or not, our political beliefs influence how we advertise ourselves romantically," the dating site wrote on its "Deep End" blog.