Skip to main content

The Islands of Benoit Mandelbrot – Nina Samuel (Ed.) **

Benoit Mandelbrot was the poster-boy of chaos and fractals, in a sense literally as the graphic version of his Mandelbrot set occupied many an arty poster in its time. There’s no doubt Mandelbrot himself did lots of marvellous work from his analysis of cotton production to his ‘how far is at around the coastline of the UK’ and, yes, his remarkable set. But the trouble with the arty associations of that image means he tends to get dragged into a lot of stuff that is peripheral and verges on pseudo-science.
The antennae were raised by the subtitle of this book: ‘Fractals, chaos and the materiality of thinking.’ Is ‘materiality’ even a word?
It also doesn’t help that this book is a collection of articles. There is no narrative thrust – it’s not going anywhere. Allegedly the book shows how ‘images actually further knowledge.’ There is an element of truth in that idea, though it sounds rather like wishful thinking on the part of arty people who want to be scientific. But the approach taken – to use images found in the late Dr Mandelbrot’s office smacks of opportunism with no great interest in imparting wisdom.
One or two of the pieces are worth dipping into , particularly the one on ‘Nature in Mandelbrot’s Geometry’, but many of them are not worth wasting time on. Overall this is certainly not popular science. In fact it’s hard to see what it is, except self-indulgant.

Paperback 
Using these links earns us commission at no cost to you
Review by Peter Spitz

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...