How to Lie with Statistics
Language: English
Published by R.S. Means Company, 1954
- Hardcover
- Used

Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
AbeBooks seller since March 23, 2026
Condition: Used - Fair
US$ 6.76
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Add to basketItem description from seller
Now available in audio for the first time Darrell Huff's celebrated classic How to Lie with Statistics is a straight-forward and engaging guide to understanding the manipulation and misrepresentation of information that could be lurking behind every graph, chart, and infographic. Originally published in 1954, it remains as relevant and necessary as ever in our digital world where information is king--and as easy to distort and manipulate as it is to access. A precursor to modern popular science books like Steven D. Levitt's Freakonomics and Malcolm Gladwell's Outliers, 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 full rather than to inform. Critically acclaimed by media outlets like the New York Times and the Wall Street Journal, How to Lie with Statistics stands as the go-to book for understanding the use of statistics by teachers and leaders everywhere.…
Seller Inventory # CIN039309426XA
- Title
- How to Lie with Statistics
- Author
- Darrell Huff
- Publisher
- R.S. Means Company
- Publication year
- 1954
- Condition
- Fair
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0393052648
- ISBN 13
- 9780393052640
- Illustrator
- Irving Geis
"Synopsis" may belong to another edition of this title.
Review
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
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World of Books Inc
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