Statistics Explained

Statistics Explained | Ideasthesia

Statistics is the mathematics of extracting signal from noise. It's how you go from messy data to confident claims. It's how you know if the drug works, if the policy helped, if the pattern is real.

This isn't just academic procedure. Every time you read "studies show" or "researchers found," someone used statistics to get there. Every medical treatment, every A/B test, every poll—statistics is the machinery underneath.

But here's the thing: most people—including most researchers—misunderstand the core concepts. P-values don't mean what you think. Confidence intervals don't work how they sound. And correlation definitely doesn't mean causation, but not for the reasons you've heard.

This series unpacks the fundamental tools of statistical inference, from the ground up. We'll build from descriptive statistics through hypothesis testing to regression and beyond. By the end, you'll understand how statistics lets us learn from uncertainty—and where the whole system breaks down.