Here’s where the story gets a little silly. People often treat P-values like magical truth-revealers. But they can be tricked. If you test 100 random things, you’ll probably get a few “significant” results by pure luck—like flipping heads five times in a row.
That’s why statisticians jokingly call it “p-hacking” when you tweak the data until you see a low number. It’s the equivalent of taking a selfie from a weird angle until you look amazing, even though you’re the same person. Don’t do that. Be honest with your spreadsheets.
Also, P-values don’t tell you how big the effect is. A significant result might still be tiny—like saving 30 seconds on a commute. It’s real, but not life-changing. Context matters, people.
