Skip to main content

Seduced by Logic – Robyn Arianrhod ***

Though there still aren’t enough women involved in physics, there are certainly are far more than there used to be. When I look back at my 1976, final year undergraduate group photograph at the Cavendish in Cambridge there are probably only around 5 per cent of the students who are female. (It’s a little difficult to tell, given the similarities in hair length favoured at the time.) Now it would be significantly higher. But go back over two centuries and what’s amazing is to find any woman who dared to make herself visible in the scientific arena.

Yet despite the widely voiced concerns that women’s brains would practically explode if faced with anything more than the fluffiest of science popularisation (the father of one of the main characters in this book, discovering her interest in maths, said ‘We must put a stop to this, or we shall have Mary in a straightjacket one of these days’) the two individuals at the heart of Robin Arianrhod’s book managed not just to learn about the physics of the day but to make important contributions.

The first is Émilie du Châtelet. She was worthy of a biography for her life alone, somehow managing despite being married to the aristocratic Marquis du Châtelet, to spend most of her married life in the company of the writer Voltaire (with another lover later on with whom she had a child, though, sadly, Émilie would die shortly after the birth). But she was also a great enthusiast for Newton’s work, doggedly acquired knowledge of mathematics to better her understanding (soon outstripping Voltaire) and writing an influential paper on what we would now think of as energy. Perhaps most remarkably she made what is still the only complete French translation of Newton’s brilliant but often impenetrable masterpiece, the Principia.

Scottish-born Mary Somerville, the second of Arianrhod’s characters, born 70 years later, had more of a middle class background (Arianrhod helpfully puts her on a par in both period and social status with Jane Austen and her principle characters), but still managed to go on to be a world expert on Newton’s work, both providing new insights for the many scientists who struggled with Newton’s sometimes painful obscurity and writing some of the first approachable popular science on the subject. While both woman were of a certain standing, and could not have broken through the way Faraday did from truly humble beginnings, the achievements of this pair when all of society and the scientific establishment was stacked against them was truly remarkable and it is excellent that their work is being detailed here.

Where I have a little concern with the book (as opposed to the subjects) is that Arianrhod sets out to give us too detailed a rendition. Dotting every i and crossing every t of a scientific life is necessary for an academic biography, but here it can get a little plodding at times. It is only because of this that I have not given the book more stars – it is impossible to fault the attention to detail of the biography, nor the interest of the subjects, but the book doesn’t quite have the page turning intensity that these women’s stories could have had with the right approach.

However, if you want to find out more about this remarkable pair of early female Newtonians, this is definitely the book to make you a very happy bunny.

Hardback:   
Kindle 
Using these links earns us commission at no cost to you
These articles will always be free - but if you'd like to support my online work, consider buying a virtual coffee:
Review by Brian Clegg - See all Brian's online articles or subscribe to a weekly email free here

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