Skip to main content

Experiencing the Impossible: Gustav Kuhn ***

I have to admit I find magic acts rather tedious entertainment - but I do enjoy trying to work out how the trick was done and then (ideally) finding out how it really was undertaken - so I was fascinated by the idea of a book that claims to cover 'the science of magic'. (By magic, I should stress, I don't mean the fantasy sorcery version, but the very down-to-earth engineered version used in magic shows.) This handsome book proved to be a distinct curate's egg: there were sections I pretty much skip read as they were somewhat dull, but other parts that really captured my attention.

The reason that some sections don't work so well was the classic academic writer's problem of not realising the importance of narrative and storytelling (which you'd think a practising magician like Gustav Kuhn would realise). The book comes alive when we are told about specific tricks or people or situations, but sometimes it becomes a collection of facts, a lecture on, say, a particular psychological trait, and then it can lose the reader's attention.

It's not that the psychology parts aren't interesting - and inevitably, apart from engineering, most of the 'science of magic' is about psychology and how the brain works (and doesn't) - but they need to be presented with much more context and more tying back to the magic that they are supposed to be illustrating. Similarly, it's not that the science is too heavy - if anything, we don't get enough of it. So, for example, Kuhn introduces a theory of Bayesian misdirection which I absolutely loved as a concept, but wasn't able to read much about.

If you read the book to get the lowdown on how all the famous tricks work, you will be disappointed. Kuhn does explain a few very basic tricks, but mostly brandishes the magician's traditional veil of secrecy. This is a real shame and is another reason the book doesn't work as well as it could. You don't explain science by saying 'the researchers did an experiment, but I'm not going to tell you how it worked, just what it looked like' - but that's exactly what happens here. A great example is Kuhn's use of a Derren Brown illusion, where someone was given the choice of any toy in the huge toy store Hamleys, and Brown apparently predicted what the choice would be. Kuhn tells us that Brown 'explained' the trick by telling us it was due to repeated suggestions - but that this explanation doesn't hold up. We're then told 'Brown is one of my favourite magicians and I have no intention of revealing how his trick is done...' - but that's exactly what's required to make the book work. There's too much tease with no reveal.

One other thing that I was surprised wasn't covered, perhaps because of the author's obvious love for magic, is its rapid decline as a popular adult entertainment. A couple of decades ago, magic shows were primetime TV fixtures. Now, magic tends to be much more niche. It may be that as we are so used to amazing CGI, we don't really care about illusion. Or something else. It would have been interesting to have seen a professional analysis of this.

I don't want to give the impression that this book is devoid of interesting content. I repeatedly came on sections which really grabbed my attention, primarily those built around actual magical tricks. But it could have been so much better.

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...