p < 0.05 means ship, p > 0.05 means kill. A typical sprint review ritual. In the gaming industry, being able to decide fast opens a lot of doors. But making fast-food decisions based on p-values might be our most expensive habit.
When p < 0.001 means almost nothing — a Football case study in why statistical significance isn’t practical importance.
Extreme performances catch headlines. But behind the highs and lows lies a quieter truth: randomness. This post unpacks how regression to the mean fools fans, coaches, and analysts — and how to see through the illusion.
Why does intuition mislead us in complex decisions? We simulate the “dance” of the p-value using 2015–2016 Premier League xG data and talk about power, sample size, and noise.
