Skip to main content

How to Read Numbers - Tom Chivers and David Chivers *****

This is one of my favourite kinds of book - it takes on the way statistics are presented to us, points out flaws and pitfalls, and gives clear guidance on how to do it better. The Chivers brothers' book isn't particularly new in doing this - for example, Michael Blastland and Andrew Dilnot did something similar in the excellent 2007 title The Tiger that Isn't - but it's good to have an up-to-date take on the subject, and How to Read Numbers gives us both some excellent new examples and highlights errors that are more common now.

The relatively slim title (and that's a good thing) takes the reader through a whole host of things that can go wrong. So, for example, they explore the dangers of anecdotal evidence, tell of study samples that are too small or badly selected, explore the easily misunderstood meaning of 'statistical significance', consider confounders, effect size, absolute versus relative risk, rankings, cherry picking and more.

This is all done in a light, approachable style that makes the book a delight to read. Just occasionally the jokes are a little heavy-handed (as when they gave examples based on people buying their book), but it's all nicely balanced, informative and laser-accurate in pinpointing the errors we see day after day from the media. The book finishes with a 'statistical style guide' for journalists, which should be printed out and placed on every desk in a media outlet.

Off the top of my head, the only major issue they don't address is spurious accuracy - though this is indirectly covered in asking for statistics to be given with confidence intervals. Overall, an excellent addition to the armoury of good use of statistics. I suspect a self-selecting readership will result in the Chivers brothers largely preaching to the converted - but if even a few media sources take the hint it will be well worth it, and even if they don't, it gives readers the tools to recognise misuse of statistics in many cases.

Hardback: 
Bookshop.org

  

Kindle:  
Using these links earns us commission at no cost to you
Review by Brian Clegg

Labels:

Comments

Post a Comment

Popular posts from this blog

Ignorance: How it drives science – Stuart Firestein *****

This is a delightful little book that really gets you thinking. I stress the ‘little’ part not as a negative, but as a good thing. There is nothing worse than fat, bloated popular science books where the author feels they have to get 120,000 words to be taken seriously. This is the sort of book that can be read in a couple of hours – but you will get so much more out of it than one of those tedious doorstops. The premise underlying the book is in once sense extremely simple, yet is fundamental to an understanding of what science is and what scientists do. And it is an understanding that is totally at odds with the typical way science is portrayed both in university lectures and popular science books. As Stuart Firestein points out, what is important is not the facts, but rather the area of ignorance. The interesting part and the fundamental heart of science is not about what we know, but about what we don’t know and where we want to look next. Take this lovely quote: ‘Working ...
Post a Comment
Read more

Who Invented the Computer? – Ian Watson

Ian Watson is the author of  The Universal Machine  and featured in a recent  Four Way Interview . Saturday June 23 2012 was the centenary of the birth of Alan Turing, the troubled genius who invented the modern computer. Why though do so few people recognize his name and his great achievements? In 1936 English mathematician Alan Turing, published a paper,  On Computable Numbers, with an application to the Entscheidungsproblem . This became the foundation of computing. In it Turing presented a theoretical machine that could solve any problem that could be described by instructions encoded on a paper tape. A Turing Machine could calculate square roots, whilst another might solve Sudoku puzzles. Turing demonstrated you could construct a single  Universal Machine  that could simulate any Turing Machine. One machine solving any problem for which a program could be written – sound familiar? He’d invented the computer. Then,  computers  were peop...
Post a Comment
Read more

The Star Book – Peter Grego ****

This attractive landscape format book combines an excellent introduction to the stars and basic astronomy with a set of star maps, plus in depth looks at some of the stars featured, with a  bonus section on the solar system. Amazon says it’s a hardback, but in fact it’s a paperback with a rather ingenious cover – you can’t tell from the photo, but the words ‘The Star Book’ are punched through as a series of holes that show the white paper of the next page beneath. Like many astronomy/space books, the cover lacks shelf appeal because it is mostly black, but at least there is some original thought here. Unlike many books in this format which tend to concentrate on the pictures, there is a good deal of excellent text by Peter Grego, so there was no feeling that you were only getting the star maps and star ‘biographies’, something these days much more suited to an iPad or smartphone app. Instead, the opening 30 or so pages give a very good introduction that would be valuable to ...
Post a Comment
Read more