Skip to main content

Weird Science and Bizarre Beliefs – Gregory L. Reece ***

What can I say? It’s a subject I love. I’ve also enjoyed books on fringe science, why people believe strange things and science fiction, so this seemed an ideal book. So it’s a terrible disappointment to have to tell you it’s not very good. There are two big problems with this book. One is that the range of subject matter is rather random – bigfoots (bigfeet?), lost worlds and the hollow earth, ancient wonders and the alleged technology of genius/madman Nikola Tesla. Of these, far too much of the book – the first 100 pages of small print – is on bigfoot. The second problem is that the writing is simply not up to scratch. It’s more like the collection of notes for a book than a real book, and somehow Gregory Reece manages to take these fascinating subjects and make them, well, dull.
When I call the subjects fascinating, I ought to clarify that I don’t believe that, for example, the earth is hollow and mole men live inside it. But the people who do believe this have an interesting delusion, and there’s been plenty of science fiction based on the concept. Technically it’s mostly weird pseudo-science, rather than weird science – but that shouldn’t stop it being interesting in principle.
It’s just possible that my lack of interest in bigfoot put me of early on – but I’ve always been fascinated by Tesla and even this section failed to lift my enthusiasm. There’s good material in here, but the writer was sadly not up to turning it into an effective book.

Paperback:  
Using these links earns us commission at no cost to you

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...