Skip to main content

The Double Helix – James D. Watson *****

This is the daddy of them all. There have been attempts at popularising science for many a year, but James Watson’s very personal account of the discovery of the structure of DNA started the trend for popular science bestsellers, books on science that would be read by “ordinary people” not just science enthusiasts.
In some quarters it is popular to denigrate Watson’s book – but this entirely misses the point. Yes it has sexist elements, yes it supports a particular version of history that puts a Watson and Crick’s efforts in a good light – but that’s hardly surprising given that it was written in the 1950s by one of the protagonists.
But if you can see past the inevitable fact that the book doesn’t have a 21st century outlook, it’s wonderful. Firstly, it really doesn’t show its age, thanks to Watson’s excellent, personal narrative style, featuring none of the stiffness of most of the writing of the period. Secondly, Watson may give us a biased picture, but it gives a feel for the reality of scientific endeavour, as opposed to the glossy Hollywood view. Thirdly, Watson is honest about his relative ignorance of much of science, and a certain laziness in not wanting to put too much effort into reading things up that will reassure and delight anyone who enjoys science but finds some of the detailed work boring. Scientists in Watson’s world – including himself – aren’t geniuses who immediately understand what other scientists are saying. Instead they have very limited understanding outside their own little sphere of knowledge. Finally, Watson doesn’t stint from giving us some detail that a modern popularizer would shy away from. The information on molecular structures might be too much for some readers, but it’s easy enough to skip over without losing the flow.
Perhaps the biggest potential criticism of the book is over Watson’s treatment of the crystalographer Rosalind Franklin, whose case for being more prominent in the discovery of DNA has been well argued and is generally taken for granted today. (Franklin didn’t share in the Nobel Prize, which some complain about, but to be fair it was awarded after her death, and the Nobel Prize is never awarded posthumously.) It’s certainly true that Watson is, for most of the book, patronising towards Franklin, and he plays down the rather dubious way the Cambridge team obtained her X-ray photographs that would inspire them to come up with the familiar double helix structure. Nonetheless, it would be revisionist not to accept that Franklin was a prickly character and difficult to work with – very probably because of the way women were treated at the time – and Watson’s response to her was unfortunate but honest. He does at the end of the book, written a few years later after Franklin’s death, reassess her contribution and paints a more positive picture of her work.
Overall, though this is a gem of a popular science book that has stayed in print for many years for a reason. It’s a great read, plain and simple.

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

Comments

Popular posts from this blog

Mathematics with Love – Mary Stopes-Roe *****

Admittedly it’s early days (this review is written in January), but this, for me, is the surprise hit of the year so far! I approached this book with trepidation, but found it absolutely delightful. It is described on the cover as the “courtship correspondence of Barnes Wallis, inventor of the bouncing bomb”, and contains a series of letters between Wallis and his cousin and eventual wife Molly Bloxham, along with some useful annotation by their daughter, Mary. The courtship itself is not without difficulties, as Wallis was 18 years older than the 17-year-old Molly at the start of the correspondence, and her father, not surprisingly, wasn’t too pleased about the interest of such an elderly suitor, but that isn’t the only reason the letters are interesting – it’s also because of maths, and Wallis’s position in the UK as the engineering hero of the Second World War. (Incidentally, it seemed very strange to see letters addressed to “Barnes” – I had always assumed Barnes Wallis was a ...

Data Empire - Roopika Risam ****

The central thesis presented by Roopika Risam is that information gives us (and particularly countries) the power to organise, control and dominate others. Although I have a couple of issues with the presentation, this is a genuinely interesting trip through the history of our use of stored information from the earliest tallies to the latest information technology. I loved a quote from Lisa Gitelman that data is is always 'cooked' so 'raw data is an oxymoron'. This neatly underlines Risam's thesis that data and information are not neutral facts, but rather tools that (like everything from fire to electronics) can be used for good or evil. As we are taken through the historical context, it can sometimes be a little difficult to judge whether Risam regards a particular example as bad or good, even when the outcome is disastrous. One thing I didn't like too much is the adherence to a popular science writing approach that has got distinctly hackneyed: opening chapte...

Andrew Jaffe - Five way interview

Andrew Jaffe is professor of astrophysics and cosmology at Imperial College, London and director of the Imperial Centre for Inference and Cosmology. His new book is The Random Universe. Why science? I’ve always been interested in science, in particular in  astronomy, astrophysics, and space. One of my earliest memories - back in nursery school in New Jersey, I think - was watching one of the moon launches. I wanted that excitement to be part of my life! I never got to be an astronaut, but I did get to be part of the Planck Satellite team, and was privileged to be able to travel to the ESA Spaceport in French Guiana to watch the launch.  In between, I was lucky enough to have a supportive family, get a good education, and find inspiring teachers, mentors, and collaborators. They helped me model the universe, and helped me learn how to refine those models in the face of experimental and observational evidence. That is, they taught me to be a scientist. Why this book? The Random...