Some refer to the normal distribution as "God's curve" because of its supposed presence in nature when enough observations are collected. But what if I told you that there is a non-normal distribution that looks so normal that even experts can't see the difference? And beyond looks, it's a curve that is both prevalent in nature and likely to cause false negatives when testing hypotheses. 📊 Interactive notebook app: https://deepnote.com/workspace/allan-campopiano-4ca00e1d-f4d4-44a2-bcfe-b2a17a031bc6/project/robust-stats-simulator-7c7b8650-9f18-4df2-80be-e84ce201a2ff/notebook/notebook-d33fc4dd05304e8c8bca8d6e2a8ca3c9 🐍 Hypothesize (robust statistics library for Python): https://github.com/Alcampopiano/hypothesize