Skip to main content

Plato's Labyrinth (SF) - Michael Carroll ***

This is an interesting contribution to Springer's innovative 'Science and Fiction' series, which includes both SF novels and non-fiction books about science and science fiction. It is Michael Carroll's fourth contribution to the series that I've read, preceded by On the Shores of Titan's Farthest Sea, Europa's Lost Expedition and Lords of the Ice Moons. As with its predecessors, there is an interesting 'now the science part' at the end, covering wide ranging topics - in this case from quantum physics to palaeontology.

Carroll has improved on the previous book - each novel seems to step up a notch from the last. By far the biggest advantage this title has is in moving the setting to Earth - Carroll's writing works better here than in hypothetical outer planet moonscapes. In fact, the first part of the book works so well I was entirely ready to give it four or five stars, but there were a couple of issues as I continued to read that dragged it back down. 

At the heart of Plato's Labyrinth is time travel. We witness the first, tentative trips into the past and the battle between two rival groups developing the technology (one team decidedly shady). I absolutely loved the way that Carroll tied in an early trip to the work of the Victorian artist and sculptor Benjamin Waterhouse Hawkins, the man behind the Crystal Palace dinosaur sculptures in London and a set of sadly wrecked equivalents in New York. If Carroll had remained focused on this strand of the plot Plato's Labyrinth could have been a superb novel (though it would have needed a different title).

Where things go a little astray is the sheer number of other plot elements that get piled in. So we've also got a quantum theory many worlds interpretation twist to the tale, a significant Ancient Greek Minoan strand, a pantomime villain who want to import Roman legionnaires to the present day in order to... well, I'm not really sure why. Throw in the mental disintegration of one character, a love story and an incompetent comedy private eye and there's just far too much going on - reflected in the fact that the book feels very long at 367 pages. It loses impetus about half way through.

Inevitably with fictional time travel technology close scrutiny uncovers issues. So, for instance, for no obvious reason, all non-living matter transported through time starts to disintegrate on arrival. Except the devices they use to recall the time machines don't disintegrate. On the plus side, Carroll has great fun devising a living organic equivalent of a camera. He also uses Ron Mallett's real life concept of a frame dragging spiral of light as the time travel mechanism - a neat touch, though in reality even if Mallett's idea works (many physicists doubt it), it couldn't deliver the results described here. However, it's a better-than-usual attempt at suspension of disbelief on the mechanisms of time travel.

I enjoyed reading this book, but an editor with experience of fiction should have ensured that Carroll focused more, pruning those messy plot lines and producing the outstanding novel that was promised by the opening chapters. Even so, definitely Carroll's best.

Paperback: 
Bookshop.org

  

Kindle 
Using these links earns us commission at no cost to you

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