Skip to main content

Don’t You Have Time to Think? [Perfectly Reasonable Deviations from the Beaten Track] – Richard Feynman ****

Richard Feynman is a unique figure in the history of science. One of the few physicists most are comfortable putting on a par with Einstein, he combined a superb intellect with a human touch. His lectures dismissed the stuffiness of academic tradition. Even the way he spoke was different. (This book contains a letter complaining that he had the temerity to say “you guys” on a TV broadcast.) If you haven’t heard a recording of Feynman lecturing, imagine how it would sound if Tony Curtis had been a physicist. Feynman has written some superb science books, but also was a great storyteller, with the best of his tales, edited by his friend Ralph Leyton recorded in the remarkable Surely you are joking, Mr Fenyman.
This book, a collection of Feynman’s letters edited by his daughter Michelle, makes a superb addition to the collected Feynman writings. If you decide to read it, don’t be put off by the first section, which is by far the worst. Many of Feynman’s early letters were during the development of the atomic bomb – because of this there was little he could write about his work, and few people could write to him. The result, though historically interesting, makes rather bland reading. But persevere and you will be greatly rewarded. After that early section it’s practically all fascinating. (The only other part that gets a bit tedious are the letters of congratulation for his Nobel Prize – I can understand why a proud daughter wants to show these off, but a dozen would have sufficed to get the point.)
There are so many good things in here. One is a demonstration of his surprising patience, responding to clearly confused writers in a self-deprecating and supportive way. There’s a wide exposure to his dismissal of status for the sake of it – refusing any honorary degrees and so forth. And there’s a chance to peek under the Feynman myth. His stories were better than reality. He enjoyed over-emphasising his own failings. His letters reveal that he had more interest in the arts, was less dismissive of culture (and even knew the language they spoke in Brazil, despite the story he told to the contrary). The real Richard Feynman can be seen so much more clearly through these letters, and any Feynman fan will be very grateful for that.
The obvious gap in the story is his second marriage. It isn’t even referred to in the linking text – if Fenynman himself hadn’t commented a couple of times about this being his third marriage, you wouldn’t have known he had more than two wives. Although you can understand why his daughter wouldn’t want to go into his second, disastrous marriage to a woman who allegedly once told him “some old bore called, but I sent him away” when Niels Bohr tried to visit Feynman. (Actually, this is a slight misquote on our part – she said that while he was out he had been invited to have dinner with “some old bore” – thanks to Peet Morris for highlighting this.) It may be that there just aren’t any letters from that period intact – but for completeness it’s a shame.
Normally we wouldn’t give a book like this more than 3 stars, because it’s only borderline popular science, but this is so good we’ve had to go for four.

Paperback:  
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