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

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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.

#machine-learning

#python

#data-science

#data-analysis

Feb 10•9m read time•From code.likeagirl.io

Table of contents

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.Myth: “Our timings are mismatched.”Get Ms.DataByte ’s stories in your inbox The Myth: “Most guys get ghosted.”Myth: The app is the problem Is there a Love Algorithm?Can We Actually Code Romance?