Skip to main content

Deceived Wisdom – David Bradley ****

One of the joys of reading popular science books is discovering little factoids that amaze you and that you can’t resist telling other people. But David Bradley’s Deceived Wisdom goes one step better. Here the factoids are ones that many people believe, but science shows to be false. Apart from the risk of coming across as a smartarse, what’s not to love?
This slim volume (I read the whole thing in one go on a 1.5 hour train journey) has a good mix of classic old wives tales and more modern surprises. It’s delightful to discover that so many of those things you were told off for as a child (‘Don’t wear your coat inside, you won’t feel the benefit!’ for instance) are simply not true. I similarly rather enjoyed the evidence that women are no better at multitasking then men, and that cats aren’t cleverer than dogs. (Bradley attempts balance, but he clearly demonstrates it’s the other way round.) If nothing else, every member of the government should be sent a copy of this book to persuade them they don’t need to put notices in petrol stations telling us not to use our phones. There is no risk of setting the petrol on fire.
It’s almost inevitable with a collection like this that there are some quibbles. Sometimes the wording could be a little clearer. I was confused, for instance, if letting red wine breathe (by decanting it) was a good idea or not. The structure of the entries is to have the myth up front and then disprove it. But when dispensing with ‘No two snowflakes are alike’, Bradley concludes ‘get a lot closer and it becomes clear that no two snow crystals could be exactly the same.’ He seems to have proved his myth. Actually it’s more complicated. At the level the statement was originally made, visually, it is a myth. A lot of snow crystals are simple hexagons. Not identical at the molecular level, but that was never intended.
Another example I could quibble with is that Bradley claims as a myth ‘The full moon looks bigger when it’s closer to the horizon.’ This is patently true. What he means is that it is no different optically, but ‘looks’ refers to what a human being perceives – and there it is true. The underlying reason is that we don’t see like a camera, but rather the brain detects shapes, shading etc. and constructs the image we ‘see’ – this isn’t really discussed. But these really are quibbles and don’t take away from the fun of reading this excellent collection of science surprises.
If you liken popular science books to food, Deceived Wisdom is simply not meaty enough to make it a three course meal. It is, however, a top notch box of chocolates – and who doesn’t like that? Recommended.

Hardback 

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

Vector - Robyn Arianrhod ****

This is a remarkable book for the right audience (more on that in a moment), but one that's hard to classify. It's part history of science/maths, part popular maths and even has a smidgen of textbook about it, as it has more full-on mathematical content that a typical title for the general public usually has. What Robyn Arianrhod does in painstaking detail is to record the development of the concept of vectors, vector calculus and their big cousin tensors. These are mathematical tools that would become crucial for physics, not to mention more recently, for example, in the more exotic aspects of computing. Let's get the audience thing out of the way. Early on in the book we get a sentence beginning ‘You likely first learned integral calculus by…’ The assumption is very much that the reader already knows the basics of maths at least to A-level (level to start an undergraduate degree in a 'hard' science or maths) and has no problem with practical use of calculus. Altho

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