Skip to main content

Fire, Ice and Physics - Rebecca Thompson **

It's easy to see the way that science fiction can fit with a 'science of' treatment - less so a fantasy such as Game of Thrones, which is the topic of the latest in this long-lasting genre. However, it's certainly not impossible. The Science of Middle Earth, for example, does a great job of exploring the scientific content of Tolkien's output, so it doesn't seem unreasonable that Rebecca Thompson should be able to do the same for George R. R. Martin's blockbuster series of books and the accompanying TV show.

I ought to say straight away that the title here is a little misleading, as by no means all of the content is physics. It covers paleantology, biology, zombieology (is that a word?) and more - but physics probably has the biggest word count, perhaps fitting as Thompson is a physicist. She tells us that the idea of the book is to use the popular fantasy series to introduce science to a wider audience, but I'm not sure that the way the material is presented in this book does that job well.

A good popular science book has a careful blend of facts, context and narrative. Facts, of themselves, are rarely sustainably interesting. The problem here, ironically in a book about the science of a piece of fiction, is that there are far too many facts and nowhere near enough storytelling. So, for example, the idea that there are 17 structures of ice is a bit interesting if you then make something of the fact as part of a narrative - but here we’re told it is the case (complete with a totally uninformative phase diagram, one of three in the book), then we move straight on to the next fact.  There’s nothing actually made of the information. The result is, sadly, rather dull. 

As far as I'm aware, most of the scientific content is accurate, but it does go a touch adrift when Thompson ventures into palaeontology. In trying to explain dragons scientifically (something Thompson eventually admits is an impossible task, which kind of undermines the premise of the whole book) we are told that pterosaurs, the winged flying reptiles that co-existed with dinosaurs, were cold blooded - however, modern opinion is that at least some if not all were warm-blooded. Also, we are told ‘Flying dinosaurs did exist, but as a group they are characterised as pterosaurs, with no one dinosaur bearing the name pterodactyl.’ Unfortunately, pterosaurs weren’t dinosaurs. And though pterodactyl isn't the generic term as it's often incorrectly used, the pterodactyl did exist, though admittedly it wasn’t a dinosaur either, as it was a type of pterosaur. 

The actual science bits were sufficiently uninspiring that I looked forward to the parts that  concerned the goings on in Game of Thrones (which we could go many pages without returning to). When I started the book, I thought I would find these the least interesting part, as I only ever watched half the first season and gave up on it (a particularly embarrassing admission as a friend of mine was in the show). I'm sure if you are a GoT fan that the parts involving the series will indeed be interesting, but there's still going to be a lot of the book that is hard work.

Hardback:   
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