Skip to main content

Consider Phlebas (SF) - Iain Banks ***

This title didn't quite work for me. The absolute joy and totally original creation of Banks' science fiction books is the Culture. This hedonistic, clever, human and machine, seemingly anarchistic yet superbly functional empire without an emperor is a work of creative genius and in most of his Culture books it is front and centre. One of the problems with Consider Phelbas is that, although the Culture has a presence throughout as one side in a war, the book isn't about the Culture but rather an individual and his crusade against the Culture, which he feels is ultimately wrong for humanity. Because of this, he sides with the three-legged species with which the Culture is reluctantly at war.

The result is that the book descends into baroque space opera pure and simple, where Banks' books are usually far more, even though they use all of the language and paraphernalia of the space opera genre. If you enjoy pure space opera, this will be good news - but it's rarely my thing. There's an element of a quest story, but an awful lot of set piece battles and unpleasant scenes where the protagonist comes close to death in sadistic ways. Though there are brief asides set in the Culture (and one ambiguous Culture central character), they feel tacked on and don't particularly add to the story. I'm afraid it also felt far too long and some of the set pieces - notably when the mega ship hits the ice - were hard to follow descriptively. I've been fascinated by every Culture book I've read so far - but this one wasn't for me. I gather it was the first of the Culture novels, and it may be that the author was yet to settle into his stride.


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