I analyzed 50,000 Dating Profiles to Decipher the Myths of Love in Algorithm They say love is a mystery. I believe love is just an algorithm in a dataset full of too many outliers. Welcome to the …

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Code Like A Girl

A data scientist analyzes 50,000 dating app profiles to debunk common dating myths using Python and machine learning. The analysis reveals that urban users get 40% more successful relationships but double the catfish rate, picky swipers (right-swipe <25%) perform better than desperate ones, and spending more time on apps doesn't increase matches. A logistic regression model achieves 99.15% accuracy in predicting compatibility based on swipe behavior, app usage patterns, and shared interests—proving that behavioral alignment matters more than common hobbies.

I analyzed 50,000 Dating Profiles to Decipher the Myths of Love in Algorithm

Myth: “I need to move to the big city to find love.”

Myth: “I swipe less, that’s why I get fewer chances.”

Myth: If I spend more time on the app, it will give me more chances at love.

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I think you’re graphs are really scaled poorly because it seems like every graph is just showing almost no statistical difference between any of the questions you’ve asked.

What does bro does at valentines after he says why isnt he getting any dates:

I second what others have written. The graphs don’t seem to show what the author writes next to them.

There’s a great book that bill gates loves, it’s called how to lie with statistics. I duno, this article kind of reminded me of that for some reason.

finally a good post after a long while.