Skip to main content

A Song for Molly - Jeremy Bernstein ***

This is quite probably the strangest popular science/maths book I have ever read. There have been a good few attempts to combine science writing with fiction, as A Song for Molly does. It's a great idea, but from the results I have seen so far, extremely difficult to do well. What Jeremy Bernstein does is different from anything I've seen before, and in some aspects works very well.

Let's start with what I love about this book. Every now and then I have lunch with the varied collection of individuals who once made up the Lancaster University Christmas University Challenge team. We're a very different bunch, and the group includes brilliant raconteurs. The lunches are a delight, in part because of the way the conversation ranges far and wide. There is a similar joy in Bernstein's range of interests as his book skips from the ideas of Wittgenstein to the attempts to decipher Linear A/B, from Cantor's ideas on infinity to game theory. It really feels like sitting as an observer on a sparkling conversation that bounces from topic to topic.

Other aspects left me less enthused. The fictional framework feels forced. The theme of dogs running through it (Molly is a dog) didn't really work for me (and I'm a dog lover), while the central character's views on women seem distinctly old-fashioned. The character also resorts regularly to an analyst, which felt too much like the use of an analyst in the TV series Suits, while worst of all was the regular description of the central character's dreams. If there is one thing more boring than being told about someone else's dream, it's being told about a fictional character's dream. And though the information is fascinating, far too much of it is put across by the main character in full-on mansplaining mode to a female character - it's amazing she sticks with him.

There were also rather more typos than I hope for in a professionally produced book, most painfully the statement 'the Minotaur - the bull-headed monster which had been kept in a labyrinth at Knossos by King Minotor.' For that matter, the cover makes it look like a self-published book with a design done by a friend.

It's impossible to tell how anyone will react to reading this book. I'm glad I did, but it certainly won't be for everyone. I'd recommend dipping your toe in - if you are enjoying it after the first chapter, read on.

Paperback:

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

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