Skip to main content

Einstein Relatively Simple - Ira Mark Egdall ***

This review has turned out entirely different from the way I expected after the first chapter or two of Ira Mark Egdall's exploration of the special and general theories of relativity. Frankly, I was all set to give up, as I initially found the book very irritating, but I'm glad I continued, because it turned out to be like a good friend. Just as you like the friend despite their irritating habits, so there was enough here to make it worth suffering a little - at least, if you are part of the right kind of audience.

Let's get the irritating bits out of the way. Because the book is trying to be popular science, it includes a reasonable amount of biography, but it is pretty lightweight. The most glaring example is that we read 'He and his wife Mileva Marić were becoming increasingly estranged during this period. Nonetheless, Albert fathered a second child with Mileva, their son Eduard, in July of 1910.' No, that would be their third child. Poor old Lieserl doesn't get a mention. I also found the way that Edgall goes out of his way to use US units rather than scientific units, without even offering both (except on one single occasion, which makes me wonder if the publisher took them out) frustrating. Seeing the speed of light in miles per hour was just weird.

Perhaps the worst aspect was the author's determined attempt to drive the reader mad by repeated misusing the word 'per'. This Latin term has very specific uses in English, such as 'miles per hour'. But it is really painful when the author regularly uses it to mean 'taking the view of' or 'according to'. On one spread alone we get 'Per Einstein, you see my watch...', 'Per Einstein's theory...', 'Per special relativity, the length of an object...' and 'Per Einstein's formula...' I visibly flinched each time this happened, and never got over it.

All in all, the book feels like a de-mathematised text book, with a bit of historical context sprinkled in, while the examples are made cringingly embarrassing by the attempt to make them 'friendly' by putting in childish characters like Surfer Sally and Crash the rocket jockey. It's a bit like trying to make a limo out of a racing car by stripping out all the powerful stuff and adding in faux leather seats. You end up with something that isn’t satisfying for either requirement.

However, here's the weird thing. By about half way through the special theory section I discovered that I was finding the book interesting, and though there was lots that was familiar, there were also some examples I'd never seen before. What's more Egdall genuinely does have an ability to present his subject in a way that isn't too dry, only optionally includes equations (though I found them very useful) and really enhances the understanding. All the way through the general theory I continued to appreciate what I was getting.

So here's the payoff. This isn't really a popular science book. Ignore the so-so biography and it's real nature shines through: an easy reader textbook. And that is something that could genuinely be of interest to, say, an engineer who wants to pick up some basics of relativity, a science graduate who has forgotten half he was taught, or someone who has started with popular science books but wants something with a bit more teeth. This might be a quite narrow market, but the book fits into it brilliantly, and really delivers 100 per cent for that kind of reader - for them it's highly recommended. As long as they can cope with the 'per's.


Paperback 

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...