Skip to main content

Death on Earth - Jules Howard ****

I've never before come across a book that I found so likeable despite quite significant failings - most notably, the biggest scientific howler I've ever seen in a popular science title. It's like a friend whose company you enjoy, even though you know that you shouldn't. Underlying that likeability is Jules Howard's constant presence. Publishers like an author to put themselves into a book, to make it their own. Howard is so strongly part of the narrative that occasionally I wished he'd go out for a while.

In this respect, Death on Earth (are we laughing yet, Life on Earth fans?) reminds me of the remarkable books of Jon Ronson. Ronson's best books - the inspiration for the Louis Theroux style of knowing 'innocent abroad' first person TV documentaries - are marvellous. You are never quite sure how much what he writes is really what he feels and how much he is manipulating the reader, but Ronson takes you right into the world of psychopaths or psi abilities (to name but two of his books). In Death on Earth there is less of a sense of manipulation because Howard's progress is so bumbling that it's hard to believe it is anything other than the reality of life.

As yet I haven't really strayed onto the topic of the book - death. As Howard admits early on, many potential readers might consider this an off-putting topic. Yes, some strange individuals are obsessed with death, but most of us prefer not to think of it more than we have to. However, when it comes to it, the book doesn't exactly skirt around the subject, but equally doesn't push it in your face. It's not trying to present platitudes about death, but to examine behaviour and natural history linked to this inevitable eventual demise (or in the case of many living things, the early and tragic version).

In Howard's seemingly random meanderings he comes across a long-lived mollusc, ants dealing with death, frog and toad mortality, and plenty more. It's not that the book is without content. But somehow the content is always dominated, for good or ill, by his bizarre non-adventures - crossing half the country to bring home a dead magpie (used in a half-hearted failed attempt at an experiment in avian behaviour), suffering a frightening medical condition at a life-extension show at Olympia (oh, the irony) and haplessly confusing his very young daughter by trying to explain death to her.

I've put it off long enough - I need to detail the outstanding science fail. Howard writes: 'This understanding of states moving endlessly toward disorder (in a closed system) was first offered up by Newton: it was, famously, his Second Law of Thermodynamics.' If this doesn't leave you rolling around on the carpet guffawing, this is a confusion of Newton's second law of motion (in equation form, force = mass times acceleration) with the second law of thermodynamics, a totally different and hugely important nineteenth century development in physics. It is a bit like a literary expert referring to Shakespeare's novel War and Peace. Every book has a few mistakes, but this is in a class of its own.

It might seem difficult to reconcile giving this book four stars with the sometimes faint praise. But it is a tribute to the author that it remains enjoyable to read and it does have plenty of interesting content along the way. Getting there might be like taking part in a meandering conversation down at the pub - but sometimes that's exactly what you want out of a book. And after a few drinks, we might even forgive Newton's second law of thermodynamics. Perhaps.


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

Comments

Popular posts from this blog

Six Maths Essentials - Terence Tao *****

This is a book in the 'compact collection of science/maths essays' category beloved of publishers because they can charge hardback prices for fewer than 80 pages of text - but don't let that put you off, because it's excellent. Terence Tao introduces six areas of mathematics: numbers, algebra, geometry, probability, analysis and dynamics. Each of these is descriptive rather than practical (there are only a couple of school-level equations in sight), done in a way that gets to the heart of 'what's the point of this subject' with precision and a good level of storytelling. It's a shame in a way that analysis and dynamics form the final third of the book (apart from a short epilogue), because they don't work as well as the other sections. For the first four, practically everyone will have a vague idea of what they are and what they do - but Tao is then able to open our eyes to their wonders and power. Because Tao has to stay away from any detail of what...

A Canticle for Leibowitz (SF) - Walter Miller ****

There are a few SF titles that have cut through to be regarded modernish classics in the more general literature sense. One example would be Flowers for Algernon (which I read in English class at school). Another, surely, is the 1959  A Canticle for Leibowicz . There are parallels with Pavane , in presenting a 'modern day' setting with medieval living standards where the Catholic Church remains a major power, yet technology is gradually breaking through. But this is not an alternative history: it's a post-apocalyptic future where civilisation was destroyed by nuclear war, with tiny embers of knowledge kept alive by a monastery dedicated to a twentieth century electrical engineer turned priest called Leibowitz. Divided into three sections, each taking place six centuries apart, we first get a totally medieval view of the discovery of circuitry on a blueprint and more from pre-apocalyptic times. Then we see the gradual re-emergence of electrical technology in the abbey. And ...

To Think Like a Statistician - Bradley Efron ****

An old advert had the tag line 'it does what it says on the tin'. There's a vagueness about the title of this book that requires Bayes' theorem to work out whether it really does what it says on the cover. If you think this book will tell you how to think like a statistician, it's unlikely that you will be satisfied. But if you think it will tell you how a statistician thinks, it is much closer to being true. Sadly this makes the tag line I've seen 'Why you don’t need to be a statistician to think like one' entirely wrong. In the book, Bradley Efron gives us plenty of detail on how statisticians apply probability to try to understand better what is happening in the world. He makes a great point that his high school mathematical education consisted primarily of algebra, geometry and trigonometry. While these 'proved invaluable to my subsequent scientific studies' they hardly ever crop up in the news, where the one mathematical subject that does oc...