Skip to main content

Number Freak – Derrick Niederman ***

Things didn’t start well with me with this self-confessed ‘mathematical compendium from 1 to 200′. On the front it has a quote from Carol Vorderman. ‘This book is a complete joy. It made me smile. A lot.’ Is it really a recommendation that a book made Carol Vorderman smile? This started me off in a nervous disposition.
When it comes down to it, this is one of those books that takes a theme and batters it to death. ‘I’ll list every number between 1 and 200 and write something interesting about it,’ thought the author. (Except he couldn’t find anything at all to say about 183.) Oh, good – a bit like counting sheep. Inevitably this format leads to a forced style, but to be fair, Derrick Niederman does manage to dig up some quite interesting material (occasionally it feels like wading through one of the worse episodes of QI) about the numbers in question. At these points it can be entertaining. But all too often I found myself thinking ‘not another…[insert mathematical structure of your choice].’ It all gets a bit samey.
This is not helped by a rather limited ability on the part of the author to explain mathematical matters lucidly. Several times I found myself having to read a paragraph two or three times to try to understand what Niederman was trying to get across. Even straightforward English sometimes presents a challenge. Take this comment about the Olympic rings. ‘Although the colours of the rings – blue, black, yellow, green, and red – do not correspond to [the five regions of the world] in a one-to-one sense, each of these five colours is represented in every national flag in the world.’ Really? Where is the yellow and black in the Union Flag or the Star Spangled Banner? It just doesn’t make sense. What he probably meant is that every national flag contains at least one of these colours, but it’s not what he said, and someone writing about maths should understand the need for precision.
I’d also have been a lot happier if the book gave some explanations for some of the apparently arbitrary labels of mathematics. For instance, we are told 6 is the first perfect number (it’s the sum of the numbers that divide into it, 1, 2 and 3). I knew that. But what I didn’t know, and would like to know, is so what? What does this signify? What does it do or provide us with as a piece of information? How can we use it? It’s just left dangling.
All in all, highly curate’s-egg-like as a reading experience. It’s very rare I don’t get all the way through a book, but I confess I couldn’t be bothered to finish this one.

Hardback:  
Using these links earns us commission at no cost to you  
Review by Peter Spitz

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on