How to Lie with Statistics

By Darrell Huff, Irving Geis (illustrator),

Book cover of How to Lie with Statistics

Book description

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…

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Why read it?

1 author picked How to Lie with Statistics as one of their favorite books. Why do they recommend it?

How to Lie with Statistics is a book that I highly recommend to anybody just starting out in data science. While we would like to believe that data science is a science many times it’s not, it’s storytelling. This storytelling with data can quickly get us into trouble. Whether it’s shortening y-axis or presenting data in a way that makes things look better than they are.

Personally I have found this book to be invaluable especially when working with business leaders as to why I won’t do certain things to my models and presentations.

From Matthew's list on ethical artificial intelligence.

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