Skip to main content

Radioactivity – Marjorie C. Malley ****

Don’t judge a book by its cover, my old gran used to say (and some of the covers of the books she read certainly proved she believed what she said), but in practice it is difficult advice to follow. Covers have a huge impact on our approach to a book – and combined with an old-fashioned feeling title this one screamed ‘dull textbooky kind of thing at me.’ Luckily, though, I resisted the urge to lose it at the bottom of the review pile, because Radiationhas a lot going for it.
Marjorie Malley divides her book into three main sections. The first, biggest, and best gives us the history of the discovery of radioactivity and the development of the theory of what was going on. The second, which is quite interesting, looks at the applications of radioactivity. And the third, which isn’t very interesting at all, seems to be a sort of ‘put radioactivity into context’ that did very little for me. But that doesn’t matter, because that first section is so good.
It’s not that the material itself was all that new to me. I had read plenty, for example, about the Curies and their work, or about Rutherford. But what I found absolutely fascinating – and it’s something I’ve hardly ever come across in popular science writing – is the way that Malley makes us time travellers, g the feel for exactly what people were thinking and saying as work on radioactivity progressed. Instead of getting a sanitised story with a logical building of ideas, we travelled down all sorts of dead ends and incorrect theories. At times it could be quite confusing, not knowing which bits would later be proved correct, but it gave a much better feel for the nature of such scientific discovery than a typical book on the subject.
As a science writer myself I’m in awe of the work that must have gone into getting that changing perspective as we move through the timeline. It’s magnificent. So even though the middle section on applications is rushed and the final section did nothing for me, I’d still highly recommend this slim book for a great insight into an important period and series of events in the history of science.

Hardback 

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

Comments

Popular posts from this blog

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

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

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