Skip to main content

Seven Tales of the Pendulum – Gregory L. Baker ***

There was a time when practically every review we published of an OUP popular science book had the same complaint. What we were forced to say again and again was that this was a book with a great idea, an excellent topic, and an expert writing it. But unfortunately that expert was an academic who didn’t have a clue how to write for the general public and the result was unreadable. In the last year or so, however, things have changed. OUP has come out with a good number of titles (e.g. The Many Worlds of Hugh Everett III) which have been surprisingly readable. Unfortunately, this title is a return to form. It’s a wonderful subject. It has a neat concept in the ‘seven tales’. It’s written by an expert. But it is practically impenetrable.
Things don’t start awfully well in the introduction, when Gregory L. Baker is a little condescending about producing a version of his ‘real’ book for the common herd. But he also reassures us ‘Readers may rest easy knowing that I am mindful of the warning made famous by Stephen Hawking, that every formula reduces the readership by a factor of two.’ The problem is, although it sold well, Hawking’s book has a reputation for being difficult. Yet it is vastly easier to read than this one.
This limitation is frustrating, because Baker does pack in lots of interesting stuff about pendulums. Whether it’s the basic surprise that (despite Galileo), on the whole an ordinary pendulum’s timing isn’t independent of swing size, or explorations of Foucault’s pendulum, torsion pendulums, swinging censors in cathedrals and even the Pit and the Pendulum, there is some excellent material to cover. But the writing is rarely approachable and the author simply misses the whole idea of how to write for a general audience. This is much more the sort of writing you’d find in an undergraduate physics textbook.
I opened a page at random and had a choice of at least four quotes to demonstrate this. Here’s one of them: ‘A sophisticated mathematical procedure may be used to calculate the fractal dimension for the Poincaré section of the chaotic pendulum. But our intuition can at least help demystify the result. Close examination of the Poincaré section shows that its points do not cover an area, but are really a (possibly infinite) set of closely spaced lines. Therefore the Poincaré section is more than a line and less than an area. We then expect its dimension to like between one and two. For the parameter set A(Forcing)=1.5, Q (friction)=4, ωD(forcing frequency)=0.66 the fractal dimension is found to be 1.3. In fact, it is generally true that Poincaré sections for chaotic systems have noninteger dimensions.’ That’s all right then.
The other potential quotes were more dense and impenetrable. You might excuse this because some of the terms have been explained earlier, but the problem is that the approach assumes the way to write popular science is to take a textbook and take out the maths, leaving the explanatory parts, rather than starting from scratch and putting things in terms that people will understand.
Overall, then, a useful and interesting book for physics students who want to find out more about pendulums without doing the maths, but not for the general reader.

Hardback:  

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

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

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...