An old advert had the tag line 'it does what it says on the tin'. There's a vagueness about the title of this book that requires Bayes' theorem to work out whether it really does what it says on the cover. If you think this book will tell you how to think like a statistician, it's unlikely that you will be satisfied. But if you think it will tell you how a statistician thinks, it is much closer to being true. Sadly this makes the tag line I've seen 'Why you don’t need to be a statistician to think like one' entirely wrong. In the book, Bradley Efron gives us plenty of detail on how statisticians apply probability to try to understand better what is happening in the world. He makes a great point that his high school mathematical education consisted primarily of algebra, geometry and trigonometry. While these 'proved invaluable to my subsequent scientific studies' they hardly ever crop up in the news, where the one mathematical subject that does oc...
There are broadly three types of popular science books. There's the skim-level book that's descriptive but hasn't much depth, then there's the book that tries to go as deep as you can without getting into the mathematics, and finally there's the textbook lite. I would normally avoid this last category like the plague, but just occasionally one really works: and that's the case with Wonders in Motion . This is not a book that will appeal if you have an aversion to equations. I don't think there's anything that goes beyond the maths you'd get if studying it at school to age 18 - and you aren't expected to have much prior knowledge - but if you are happy with that, David Acheson does a great job of combining history of science stories with a the development of dynamics as an aspect of physics from Newton's second law to viscous flow of fluids. Sometimes reading it does feel a little like being lectured to, featuring rather more hard mental work ...