Austral (SF) - Paul McAuley ****

When I was a teenager, I devoured post-apocalyptic disaster novels, but as an adult I've tended to think that life is too short to read depressing books. Luckily, despite Paul McAuley's Austral being set in a world that has been reshaped by catastrophic climate change, it hasn't got the entirely miserable feel of some of science fiction's more hangdog works - but it certainly isn't a bundle of laughs either.

Central character Austral is an outcast, genetically modified by her eco-poet parents (not writers of verse, but involved in shaping the environment to naturally deal with what hits it). She is bigger, stronger and far more able to cope with the cold of her Antarctic home than normal humans. And for most of the book she is on the run, taking with her cousin, a young woman she has saved from being kidnapped by kidnapping her herself.

The structure of the narrative is multi-layered. We get the straight Austral story, Austral telling her cousin the story of their mutual grandfather (each has their own very different version of this), the story of Austral's parents and, somewhat bizarrely, a story that her cousin (almost always, and rather irritatingly just referred to as 'the girl' throughout the book) is reading, which is a modern myth (set on a greened Antarctic where the ice has melted) that seems to combine Tristram and Isolde with aspects of Theseus.

What we get is a beautifully written book that immerses the reader in the harsh Antarctic environment which is Austral's natural home. It's impossible not to be pulled in to Austral's story and want to see it through to its conclusion - it manages to have both literary merit and a page turning draw in the main storyline. I did find those multiple layers a little frustrating - and in the end, Austral's repeated negative warnings about how things will turn out mean that her flight seems doomed from the start. However, this didn't stop this being a haunting and engaging piece of science fiction that is every bit as good as a piece of writing as the best literary fiction.

Paperback:

Kindle:

Using these links earns us commission at no cost to you

Review by Brian Clegg

Comments

Models of the Mind - Grace Lindsay *****

This is a remarkable book. When Ernest Rutherford made his infamous remark about science being either physics or stamp collecting, it was, of course, an exaggeration. Yet it was based on a point - biology in particular was primarily about collecting information on what happened rather than explaining at a fundamental level why it happened. This book shows how biologists, in collaboration with physicists, mathematicians and computer scientists, have moved on the science of the brain to model some of its underlying mechanisms. Grace Lindsay is careful to emphasise the very real difference between physical and biological problems. Most systems studied by physics are a lot simpler than biological systems, making it easier to make effective mathematical and computational models. But despite this, huge progress has been made drawing on tools and techniques developed for physics and computing to get a better picture of the mechanisms of the brain. In the book we see this from two directions

The Ten Equations that Rule the World - David Sumpter ****

David Sumpter makes it clear in this book that a couple of handfuls of equations have a huge influence on our everyday lives. I needed an equation too to give this book a star rating - I’ve never had one where there was such a divergence of feeling about it. I wanted to give it five stars for the exposition of the power and importance of these equations and just two stars for an aspect of the way that Sumpter did it. The fact that the outcome of applying my star balancing equation was four stars emphasises how good the content is. What we have here is ten key equations from applied mathematics. (Strictly, nine, as the tenth isn’t really an equation, it’s the programmer’s favourite ‘If… then…’ - though as a programmer I was always more an ‘If… then… else…’ fan.) Those equations range from the magnificent one behind Bayesian statistics and the predictive power of logistic regression to the method of determining confidence intervals and the kind of influencer matrix so beloved of social m

How to Read Numbers - Tom Chivers and David Chivers *****

This is one of my favourite kinds of book - it takes on the way statistics are presented to us, points out flaws and pitfalls, and gives clear guidance on how to do it better. The Chivers brothers' book isn't particularly new in doing this - for example, Michael Blastland and Andrew Dilnot did something similar in the excellent 2007 title The Tiger that Isn't - but it's good to have an up-to-date take on the subject, and How to Read Numbers gives us both some excellent new examples and highlights errors that are more common now. The relatively slim title (and that's a good thing) takes the reader through a whole host of things that can go wrong. So, for example, they explore the dangers of anecdotal evidence, tell of study samples that are too small or badly selected, explore the easily misunderstood meaning of 'statistical significance', consider confounders, effect size, absolute versus relative risk, rankings, cherry picking and more. This is all done i

Search This Blog