Applied Statistics in Real Life: How Data Misleads Us - and to Reason Better

Numbers are everywhere-in medicine, business, technology, public policy, investing, and everyday decisions. They can clarify reality, but they can also mislead when noise, bias, weak comparisons, hidden assumptions, or overconfident models go unnoticed. Applied Statistics in Real Life is a practical guide to seeing beyond the headline number. Across 28 concise chapters, Adrian Keller uses memorable stories, real-world case studies, and plain-language explanations to show how statistical reasoning works when the data are messy and the stakes are real. You will learn how to: - distinguish signal from noise and understand base rates; - recognize regression to the mean, survivorship bias, and misleading averages; - interpret A/B tests, p-values, statistical power, and multiple comparisons more carefully; - spot confounding, selection bias, screening distortions, and publication bias in medical evidence; - think more clearly about forecasting, tail risk, model overfitting, correlation, and systemic failure; and >No advanced mathematics is required. The goal is not to turn every reader into a statistician, but to make statistical thinking more useful in real life.