PDF Ebook How to Lie with Statistics, by Darrell Huff
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How to Lie with Statistics, by Darrell Huff
PDF Ebook How to Lie with Statistics, by Darrell Huff
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Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller
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 full rather than to inform.- Sales Rank: #5377 in Books
- Brand: Huff, Darrell/ Geis, Irving (ILT)
- Published on: 1993-10-17
- Original language: English
- Number of items: 1
- Dimensions: 8.20" h x .40" w x 5.50" l, .30 pounds
- Binding: Paperback
- 144 pages
- Statistions, how to lie
- Darrell Huff
- Illustrated by Irving Genis
- New York - London 5 6 7 8 9 0
Amazon.com Review
"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." --Therese Littleton
Review
“A hilarious exploration of mathematical mendacity…. Every time you pick it up, what happens? Bang goes another illusion!” (The New York Times)
“In one short take after another, Huff picks apart the ways in which marketers use statistics, charts, graphics and other ways of presenting numbers to baffle and trick the public. The chapter “How to Talk Back to a Statistic” is a brilliant step-by-step guide to figuring out how someone is trying to deceive you with data.” (Wall Street Journal)
“Illustrator and author pool their considerable talents to provide light lively reading and cartoon far which will entertain, really inform, and take the wind out of many an overblown statistical sail.” (Library Journal)
“A pleasantly subversive little book, guaranteed to undermine your faith in the almighty statistic.” (Atlantic)
About the Author
Darrell Huff lives in Carmel, California.
Most helpful customer reviews
142 of 147 people found the following review helpful.
very popular account of how statistics can be misused
By Michael R. Chernick
Statisticians hate the old adage "Lies, Damned Lies and Statistics", but statistical methods do have that reputation with the general public. There are many excellent accounts, some even understandable to laymen that explain the proper ways to analyze, study and report the analysis of statistical data. Huff's famous account is illustrative and well written. It gives the average guy a look at how statistics is commonly misused (either unintentionally or deliberately) in the popular media. Graphical abuses are particularly instructive. Readers should recognize that statistical methods are scientific and with proper education anyone should be able to recognize the good statisticians from the charletons. For now Huff's book is still a good starting place. As a statistician I hate the public image portrayed in the quote above. However, I do sometimes have fun with it myself. As I write this review I am in my office wearing a sweatshirt that reads "When all else fails manipulate the data."
A modern book by a consulting statistician on the same topic is "Common Errors in Statistics and How to Avoid Them" by Phil Good. If you enjoy this book take a look at Good's book also.
2 of 2 people found the following review helpful.
A classic that NEVER gets old
By Doug Welch
This book is a classic, written over a half century ago and yet it is MORE applicable now in the era of endless corporate and government lies and spin. I was introduced to this book by my father as a teenager and read it and needing to read it again for grad school, I realize to what extent I internalized a lot of Huff's lessons on how graphics can really alter the impact of information represented graphically. I might be tempted to say that any well informed citizen of our Great Republic ought to read this book and master its contents to comb through the blizzards of BS we are inundated with each and every day in these times of lies. Huff's ubiquitous use of humor is sugar coating for this bitter medicine.
1 of 1 people found the following review helpful.
This book is short but packed with abundance of common sense and great insights. The author outlines a very healthy skeptical ..
By DiegoMM
Question everything you think you know!
This book is short but packed with abundance of common sense and great insights.
The author outlines a very healthy skeptical attitude to have before drawing conclusions from statistical analysis. Although an old book, it has not lost validity in all these years.
The book provides important tips about which questions to ask and which criteria to consider when checking data, before taking statistical results at face value, and it is an excellent insight on how data can be easily manipulated (consciously or unconsciously) to create and reinforce biases.
"We are flooded by information, but craving for knowledge". The principles in this book are a great tool to assist you in distinguishing reality from noise, in all spheres of life.
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