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Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform...

Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

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Number of Pages: 142

ISBN: 0393310728

ISBN-13: 9780393310726


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I picked up this short, easy-to-read book after seeing it on a Wall Street Journal list of good books for investors. I enjoyed it so much that it was one of a handful of books I recommended to everyone at TED this year. It was first published in 1954, but aside from a few anachron...

I picked up this short, easy-to-read book after seeing it on a Wall Street Journal list of good books for investors. I enjoyed it so much that it was one of a handful of books I recommended to everyone at TED this year. It was first published in 1954, but aside from a few anachronistic examples (it has been a long time since bread cost 5 cents a loaf in the United States), it doesn’t feel dated. One chapter shows you how visuals can be used to exaggerate trends and give distorted comparisons—a timely reminder, given how often infographics show up in your Facebook and Twitter feeds these days. A useful introduction to the use of statistics, and a helpful refresher for anyone who is already well versed in it.

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How To Lie With Statistics will make you laugh and be skeptical of almost everything in one sitting.

Product managers need a solid foundation in statistics to be metrics-driven. This classic book is a lively and fun book will leave you smarter and more skeptical.

There is terror in numbers," writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate to blind acceptance of authority more than in the slippery world of averages, correlations, graphs, and trends. Huff sought to break through "the daze that follow...

There is terror in numbers," writes Darrell Huff in How to Lie with Statistics. And nowhere does this terror translate to blind acceptance of authority more than in the slippery world of averages, correlations, graphs, and trends. Huff sought to break through "the daze that follows the collision of statistics with the human mind" with this slim volume, first published in 1954. The book remains relevant as a wake-up call for people unaccustomed to examining the endless flow of numbers pouring from Wall Street, Madison Avenue, and everywhere else someone has an axe to grind, a point to prove, or a product to sell. "The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify," warns Huff.
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.

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