Although many of the examples used in the book are charmingly dated, the cautions are timeless. Statistics are rife with opportunities for misuse, from "gee-whiz graphs" that add nonexistent drama to trends, to "results" detached from their method and meaning, to statistics' ultimate bugaboo--faulty cause-and-effect reasoning. Huff's tone is tolerant and amused, but no-nonsense. Like a lecturing father, he expects you to learn something useful from the book, and start applying it every day. Never be a sucker again, he cries!
Even if you can't find a source of demonstrable bias, allow yourself some degree of skepticism about the results as long as there is a possibility of bias somewhere. There always is.
Read How to Lie with Statistics. Whether you encounter statistics at work, at school, or in advertising, you'll remember its simple lessons. Don't be terrorized by numbers, Huff implores. "The fact is that, despite its mathematical base, statistics is as much an art as it is a science." --Therese Littleton
As "big data" becomes an increasingly loud clarion call and statistics get tossed around social media at a dizzying pace, Mr Huff's book is a pleasant, humorous and... Read morePublished 1 day ago by VermontGuy
This is simply must reading. Parents should urge youngsters to start reading this book no later than high school. Read morePublished 14 days ago by Dr.G.
Goes over some common methods of deception when presenting data either numerically or visually. While dated, this actually works in the books favor, as one is less likely to get... Read morePublished 22 days ago by biafra
This is one of the few books that I have read twice. The first time was as an undergraduate 40 odd years ago. I wanted a refresher. Read morePublished 1 month ago by Gerald R. Stein
This book should be mandatory reading to anyone who reads newspapers. It explains in accessible language some of the tricks used in reporting many kinds of data. Read morePublished 2 months ago by Pedro Dullius