🔍 Don’t Trust a Correlation Coefficient Until You Test It

How many times have you seen a “strong” correlation and thought you found gold? Let’s talk about why you might just be seeing noise.

📈 The seduction of r = 0.7

If you’ve ever built a dashboard or a quick analysis in Python, you’ve probably had that moment:

“Whoa, this feature has a 0.7 correlation with sales — that’s huge!”

It’s easy to get excited. After all, the Pearson correlation coefficient, rr, is one of the most widely used statistics in data analysis.

But here’s the catch: a big r doesn’t mean a real relationship.

Sometimes, a “strong” correlation is just statistical luck — especially when your sample size is small.