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Thinking Statistically is the "sharp little book" that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn’t know he sucks (even when everyone else does); how to use Bayes’ Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically.

This book offers a simple, engaging introduction to key statistical concepts. More advanced students may not encounter any new concepts* but they will be helped by the author's intuitive explanations that make the fundamentals taught in years of statistics and social science courses make sense like never before.

I highly recommended this book, especially for: beginning students looking to get some initial motivation to study statistics or a short, fun intro to key concepts (or eager parents who want to encourage interest in statistics); intermediate/advanced students who want to get more excited by the subject matter or are looking for intuitive explanations of the concepts covered in the book (selection bias, endogeneity, Bayes Theorem); and anyone who wants to seem smart at dinner parties.