# Darrell Huff

- Quotes: 13
- Author page: https://www.leafyquotes.com/darrell-huff

## Books

- [How to Lie with Statistics](https://www.leafyquotes.com/darrell-huff/how-to-lie-with-statistics.md) — 13 quotes

## Recently added quotes

> "Does it make sense?" will often cut a statistic down to size when the whole rigmarole is based on an unproven assumption.

> 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.

> There is terror in numbers. [...] Perhaps we suffer from a trauma induced by grade-school arithmetic.

> It is all too reminiscent of an old definition of the lecture method of classroom instruction: a process by which the contents of the textbook of the instructor are transferred to the notebook of the student without passing through the heads of either party.

> The president of the American Statistical Association once called me down for that. Not chicanery much of the time, said he, but incompetence. There may be something in what he says, but I am not certain that one assumption will be less offensive to statisticians than the other.

> It's all a little like the tale of a roadside merchant who was asked to explain how he could sell rabbit sandwiches so cheap. "Well," he said, "I have to put in some horse meat too. But I mix 'em fifty-fifty: one horse, one rabbit."

> The secret language of statistics, so appealing in a fact-minded culture, is employed to sensationalize, inflate, confuse, and oversimplify. Statistical methods and statistical terms are necessary in reporting the mass data of social and economic trends, business conditions, "opinion" polls, the census. But without writers who use the words with honesty and understanding and readers who know what they mean, the result can only be semantic nonsense.

> Nothing has been falsified—except the impression that it gives.

> Who are those who chucked the questionnaire into the nearest wastebasket?

> This [the degree of significance] is the little figure that is not there—on the assumption that you, the lay reader, wouldn't understand it. Or that, where there is an axe to grind, you would.

> A well-wrapped statistic is better than Hitler's "big lie"; it misleads, yet it cannot be pinned on you.

> What comes full of virtue from the statistician's desk may find itself twisted, exaggerated, oversimplified, and distorted-through-selection by salesman, public-relations expert, journalist, or advertising copywriter. [...] As long as the errors remain one-sided, it is not easy to attribute them to bungling and accident.