Errors, Blunders, and Lies: How to Tell the Difference

O livro é sucinto e direto, com capítulos curtos de fácil leitura, abordando os tópicos de forma ilustrativa, bom para os leitores com noção da área estatística sem no entanto exigir maiores conhecimentos, porém na minha opinião agrega valor e lança uma luz em vários tópicos que dificilmente são abordados em um curso de graduação, servindo inclusive de direcionador para um melhor aprofundamento aos interessados.

David Spiegelhalter's cover quote says it best, but I will add that David Salsburg employs interesting examples, analogies, and stories to effectively convey statistical concepts. Very enjoyable!

Bom livro. Fácil leitura. Muito interessante o assunto

I recommend this book for anyone studying statistical analysis.

I very-much enjoyed Salsburg's "The Lady Tasting Tea", but found this "sequel" disappointing. "The Lady Tasting Tea" introduced statistical concepts through entertaining stories, but the current effort feels a bit formulaic -- a bit forced. It lacks the charm of its predecessor. This may be a biased perspective -- "The Lady Tasting Tea" was among the motivating factors that led me to go back to school and acquire a graduate degree and career in statistics, so I am viewing this book with a very different -- and perhaps jaded -- set of eyes. Your mileage may vary. I will say that Paul Ross's review is perhaps overly critical -- yes there are areas like principal components analysis and factor analysis (and my favorite, generalized additive modeling) which this book could have delved into, but choices must be made in selection of topics for a general audience, and I'm not going to criticize Salsburg for leaving some things out.