Lying Numbers
by Hugh Barker (2020)
Like 'how to lie with statistics', this book critically examines the misuse of numbers in everyday life.

by darrell huff (1954)
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. 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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by Hugh Barker (2020)
Like 'how to lie with statistics', this book critically examines the misuse of numbers in everyday life.

by Howard Wainer
Similar to 'how to lie with statistics', this book teaches how to scrutinize data and uncover deception.

by Nate Silver
Like 'how to lie with statistics', this explores the challenges and pitfalls of statistical prediction.

by Hans Rosling (2018)
Following 'how to lie with statistics', this book combats misconceptions with data-driven insights.

by Charles Wheelan (2012)
Similar to 'how to lie with statistics', this makes complex statistical concepts understandable and engaging.
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