Skip to main content

Mutants – Armand Leroi *****

A freak show. It’s not a nice term – not a nice concept, but something that has the terrible ability to fascinate at the same time as it horrifies.
This is a subject where academic detachment is inconceivable. The whole concept of being entertained by the deformed is so disgusting (and so appealing to many) that it would seem a good popular science book on the subject of human mutation is practically impossible. Yet Armand Leroi has achieved it.
It’s hard to believe that the accompanying TV series can manage this so well. However good Leroi’s intentions, TV can’t help but turn this topic into prurient viewing. And it doesn’t help that in the UK that the next programme in the broadcaster’s schedule is Big Brother – a show that is totally dependent on the voyeuristic enjoyment of the human condition and suffering of others. (A recent example of this was when the occupants of the Big Brother house had to sit on a roundabout that was spun until they vomited.) Arguably the TV version of Mutants should never have been made. But – an immense but – the book manages to walk the tightrope superbly.
Perhaps it would have been even better to emphasize this distinction without the illustrations, but that apart, the distancing brought by the printed word makes it possible to deal with this delicate topic with real humanity. What Leroi’s book is about is not the horrified delight of the peep show, nor the opportunistic exhibition of the likes of Joseph Merrick, but the biological causes of human mutation and the lessons we can learn about the way we are all put together. And it is remarkably brilliant at doing this.
Reading Leroi’s description of the minute complexities of our gradual construction in the womb, what is remarkable is not that there are mutants, but there are so few. Or at least seemingly so – for as Leroi points out we are all mutants, it’s just that some are more mutated than others.
If your idea of what mutants are is formed from watching the movie X-Men, it’s time for a radical re-think. We all know, as the portentous X-Men voiceover tells us, that mutation is an essential. Without it there would have been no evolution of the human race. But Leroi shows us both mutation’s dark side – the sad but essential cost of being able to develop in this way – and the lessons that modern biologists can learn, both from natural mutation and from the experimental modification (in animals, not humans) of genetic material. These experiments themselves can seem distastefully gruesome – but the balance of knowledge is one we have to weigh carefully.
If you had any doubt about getting this book because of the “freak factor” – and I have to confess I did – put that concern aside. Leroi is not a modern-day sideshow huckster, encouraging you in to see the two-headed calf and the bearded lady. Instead he brilliantly (and most of all, humanely and very readably) lays bare the realities of our human development. Highly recommended.

Paperback:  
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

Vector - Robyn Arianrhod ****

This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho

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