The story behind Spurious
Spurious exists to make statistical literacy delightful. In a world drowning in data, we believe understanding why “correlation does not imply causation” is a superpower—and learning it should be fun.
We collect weird, funny, and surprisingly convincing correlations from real data, and use them to teach critical thinking without the textbook boredom.
We analyze thousands of datasets to find the most surprising, funny, and shareable spurious correlations.
Every correlation comes with a friendly explanation of why it might exist—without claiming false causation.
Beautiful cards designed for social media, because the best way to learn is to teach (or at least to show off).
Our datasets come from publicly available sources including:
All data is used for educational and entertainment purposes.
Yes! All correlations are calculated from real datasets. The relationships are genuine statistical correlations—the spurious part is assuming they're causally related.
We use Pearson's correlation coefficient, which measures linear relationships between variables. It's the most common method but only captures linear patterns.
Absolutely! We're always looking for new weird correlations. Send us your ideas via email or Twitter.
Yes. Any data you upload for correlation analysis is processed locally in your browser and never sent to our servers.
Made with for the statistically curious
© 2026 Spurious. Correlation ≠ Causation.