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How to Lie with Statistics

by Darrell Huff

Reading the numbers critically

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AlbakiReads Editorial

Reading the numbers critically

Darrell Huff’s primer examines how statistical claims can be shaped by choices such as graph design, sample selection, and the use of averages. Examples and illustrations introduce basic statistical principles while showing how the same tools can present information accurately or misleadingly. The book’s practical subject is the interpretation of numerical claims: it connects elementary statistics with the ways figures are used to support arguments or sell products. Its examples center on recognizing the methods behind a statistic, not simply accepting a number at face value.

Good fit for readers who enjoy

  • Readers seeking an accessible introduction to basic statistics.
  • Anyone interested in spotting misleading graphs, samples, or averages.
  • Readers who want to assess numerical claims in arguments or product pitches.

Themes

Statistical literacyData presentation and distortionCritical evaluation of numerical claims

Based on publisher information and book metadata.

Book overview

From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statistics and explains how they're used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

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