This document discusses the importance of product managers understanding statistics. It argues that using statistics and data analysis helps product managers better understand their users and make more informed decisions. Some key points made include: - Statistical analysis tools like probability, cohort analysis, and Pareto analysis can provide insights into who uses a product, when, and why. - Averages can hide important distributions in data and obscure outliers. Things like variance are more revealing. - Understanding data through a statistical lens prevents making assumptions without evidence and being misled by superficial metrics. - Courses in statistics, computer science, marketing, and data science can equip product managers to analyze user data effectively.