The First Killer Robots - Andrew May ***

Mention killer robots and inevitably thoughts go to something from science fiction like the Terminator - but Andrew May makes the point in this compact book that the real-life killer robots have been guided missiles. Starting with the V1 and V2 missiles used by the Germans during the Second World War, we come forward in time to see these destructive weapons become more and more sophisticated.

Whether we are talking surface to air missiles, cruise missiles or ICBMs, May gives us a guide to the development of this technology and how it has changed aspects of warfare. Guidance may have changed from vague point and time approaches to potential pinpoint precision, but missiles (and drones get a quick look-in too) are amongst the most advanced technology used in warfare and peacekeeping.

One of the most quoted put-downs in the history of science is Rutherford's alleged remark that all science is either physics or stamp collecting. A fair amount of this book fits into the stamp collecting category. I'm not knocking this, but it doesn't make for the most inspiring reading. However, the book really comes alive when May tells us a story, particularly of a real life situation where a guided missile has been used in error, resulting in particularly shocking outcomes.

I expected to read this book primarily for useful background information, and a lot of it is just that, but I was surprised by how gripping some of the stories of missile deployment were.

Paperback:

Kindle:

Using these links earns us commission at no cost to you

Review by Brian Clegg

Comments

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

Search This Blog