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Something Doesn't Add Up: Surviving Statistics in a Post-Truth World

Paul Goodwin



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31 March 2020
Mathematics & Sciences; Applied mathematics; Popular psychology
Some people fear and mistrust numbers. Others want to use them for everything. After a long career as a statistician, Paul Goodwin has learned the hard way that the ones who want to use them for everything are a very good reason for the rest of us to fear and mistrust them. Something Doesn't Add Up is a fieldguide to the numbers that rule our world, even though they don't make sense.

Wry, witty and humane, Goodwin explains mathematical subtleties so painlessly that you hardly need to think about numbers at all. He demonstrates how statistics that are meant to make life simpler often make it simpler than it actually is, but also reveals some of the ways we really can use maths to make better decisions. Enter the world of fitness tracking, the history of IQ testing, China's social credit system, Effective Altruism, and learn how someone should have noticed that Harold Shipman was killing his patients years before they actually did. In the right hands, maths is a useful tool. It's just a pity there are so many of the wrong hands about.
By:   Paul Goodwin
Imprint:   Profile
Country of Publication:   United Kingdom
Edition:   Main
Dimensions:   Height: 222mm,  Width: 144mm,  Spine: 28mm
Weight:   433g
ISBN:   9781788162586
ISBN 10:   1788162587
Pages:   256
Publication Date:   31 March 2020
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Paul Goodwin is an emeritus professor at the University of Bath, where he taught and researched statistics, forecasting and decision-making. He has written numerous articles and papers and several books, including, most recently, Forewarned: A Sceptic's Guide to Prediction.

Reviews for Something Doesn't Add Up: Surviving Statistics in a Post-Truth World

Praise for Forewarned: A Sceptic's Guide to Prediction The book is awash with entertaining examples of predictions that were astoundingly accurate and others that were spectacularly wrong. * Irish Times *

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