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How to Read Numbers

How to Read Numbers

A Guide to Statistics in the News (and Knowing When to Trust Them)

by Tom Chivers and David Chivers
Paperback
Publication Date: 30/08/2022
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A short, practical, timely guide to the tools you need to understand the numbers we read in the news everyday - and how we often get them wrong

Every day, most of us will read or watch something in the news that is based on statistics in some way. Sometimes it'll be obvious - 'X people develop cancer every year' - and sometimes less obvious - 'How smartphones destroyed a generation'. Statistics are an immensely powerful tool for understanding the world, but in the wrong hands they can be dangerous.

Introducing you to the common mistakes that journalists make and the tricks they sometimes deploy, HOW TO READ NUMBERS is a vital guide that will help you understand when and how to trust the numbers in the news - and, just as importantly, when not to.

ISBN:
9781474619974
9781474619974
Category:
Popular science
Format:
Paperback
Publication Date:
30-08-2022
Language:
English
Publisher:
Orion Publishing Group, Limited
Country of origin:
United Kingdom
Pages:
208
Dimensions (mm):
196x126x6mm
Weight:
0.3kg
Tom Chivers

Tom Chivers was BuzzFeed UK's science writer between 2015 and 2018. Before joining BuzzFeed, he spent seven years at the Telegraph, where he once interviewed Terry Pratchett and was told he was 'far too nice to be a journalist'.

He has struggled on despite this handicap, winning a British Health Journalism award and an American Psychological Society media award, being shortlisted for an Association of British Science Writers award and being highly commended in the Royal Statistical Society's annual journalism prizes.

David Chivers

David Chivers is an assistant professor of economics at Durham University. Before this post he was a lecturer at the University of Oxford and completed his PhD at the University of Manchester, funded by the ESRC. He has published in academic journals such as Review of Economic Dynamics, Economic Theory and Journal of Economic Behaviour and Organisation. His research interests involve topics relating to inequality, growth and development.

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Mathematics Applied mathematics Popular science Media Popular mathematics Probability & statistics Impact of science & technology on society
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