
The Signal and the Noise
by Nate Silver
Like 'Statistics Done Wrong', this book critically examines prediction and data interpretation in various fields.

by Alex Reinhart (2013)
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by Nate Silver
Like 'Statistics Done Wrong', this book critically examines prediction and data interpretation in various fields.

by Jordan Ellenberg (2017)
Similar to 'Statistics Done Wrong', it explores common mathematical misunderstandings and their real-world implications.

by Carl T. Bergstrom and Jevin D. West (2020)
Echoing 'Statistics Done Wrong', this book teaches how to identify and combat misinformation and flawed data.

by Seth Stephens-Davidowitz (2017)
As with 'Statistics Done Wrong', this book uses data to reveal hidden truths, often highlighting statistical quirks.
by David Salsburg (2002)
Like 'Statistics Done Wrong', this book explores the impact of statistical methods, focusing on their historical development.
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