Skip to main content

Erasmus Darwin - Patricia Fara *****

Patricia Fara has written a number of accessible history of science titles in the past, for example Science: a four thousand year history and Sex, Botany and Empire - but they have been conventional, if readable, academic titles. In her book on Erasmus Darwin (finally making it into paperback after eight years), she subverts the genre, along the way making it the most enjoyable relatively heavy-duty history of science book I've ever read.

Fara claims in her introduction that her approach was inspired by reading Lolita on a train: one of Humbert Humbert's thoughts inspired her to ponder the nature of history and how the process of uncovering what happened in the past differs from the straight line narrative we usually read. As a result, Fara draws us into the unstructured process of discovery, where new, sometimes serendipitous, findings can send the writer off on a whole new tack.  (I say 'claims in her introduction' not in a negative way, but because Fara does warn 'in this book about Darwin, my [fictionalized] personal narratives are not necessarily completely true.')

The subject of the book is Erasmus Darwin, grandfather of the somewhat better-known Charles, best remembered for his long poems on biology and nature - distinctly impenetrable to modern eyes - and as a member of the famous Lunar Society that brought together Midlands natural philosophy enthusiasts at the end of the eighteenth century. Although the book does have some biographical content, the focus is Darwin's writings and particularly on a mocking spoof of his work called The Loves of Triangles, which shifts the focus of Darwin's The Loves of Plants onto mathematical shapes in what is primarily an attack on his politics and to a degree religious beliefs. Along the way, we discover that Darwin was more than a medic who dabbled in biology and slightly prefigured evolutionary theory: there is a strong political thread in his work, including a focus on the abolition of slavery, along with enthusiasm for industry and for sexual themes (with the inevitable modesty of the day).

I confess that as a science writer myself, I am probably an ideal audience for this book. I identify totally with the way that discoveries made during the research and writing can shift the direction of a book as it is written, and require the author to suddenly plunge into a new topic in a way that's delightful for her or him to experience. And there's something refreshingly honest about Fara's admission of struggling with Darwin's stodgy, drawn-out poetical style - something anyone addressing many Victorian novels we are supposed to find wonderful may also have experienced.

If I have a criticism, it's that there isn't enough of this meta-text in the book. Fara sets out to produce a very different form of history of science title - and succeeds - but perhaps too high a percentage of the content has a conventional form and ends up exposing us to repeated exposition of Darwin's principle themes and stodgy versification. However, this doesn't undermine the fact that this is a wonderful way to make the process of exploring the history of science come alive. 

This study of Darwin through his didactic poetry uses the approach on a small and relatively insignificant corner of scientific history - I would love to see the same approach, made even more bold and personal, applied to some of the big picture aspects of the subject. For now, though, this was an impressive step forward in a field not always famous for its innovation.

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