Skip to main content

Alice and Bob Meet the Wall of Fire - Thomas Lin (Ed.) ***

This book contains a considerable amount of good (and interesting) science - but, for me, it's not a good science book. A book should have structure and flow, leading the reader through its narrative. This is a collection of articles (from the website Quanta). As a result, what we've got here is a magazine in book's clothing. And at that it's not a very good magazine.

What do we look for in a science magazine? Good illustrations, for one. Even a top-level science magazine such as Nature has plenty of illustrations and graphics. Here there are none. Also we want a smorgasbord of interesting articles - the origin of the term 'magazine' is a storehouse - the editor's job is to ensure variety and range, so even if one article isn't really to your taste, the next one will be something completely different. Here, the articles are grouped in topics, and are often quite similar within the topic - many even have quotes from the same handful of scientists over and over again.

Take the first section, which surely should be one designed to whet the appetite. Titled 'Why doesn't our universe make sense?', these articles are all what I'd call fantasy physics. As the book's title suggests, they obsess over purely theoretical concepts like black hole firewalls. There is no observational or experimental evidence for black hole firewalls. They are simply the result of playing mathematical games - which is fine for mathematicians, but shouldn't really be presented as science when there is no prospect of taking a close look at a black hole in the foreseeable future.  Every single one of the seven articles in this section is concerned with mathematical or philosophical considerations (such as 'naturalness') which are arguably not really science at all. There is a lot of discussion in the physics world at the moment about the validity of this kind of work - but none of it surfaces here.

Another section I struggled with was one labelled 'How do machines learn?' This was about AI and was very gung-ho about artificial intelligence, giving us hardly anything about the problems it raises and the concerns that it is being overhyped, reflected so well in books such as Common Sense, the Turing Test and the Search for Real AI and The AI Delusion.

The sections I found most interesting were those on biology - 'What is Life?' and 'What Makes us Human?' There was a time when physicists could deservedly be snide about biology, culminating in Rutherford's famous 'stamp collecting' put down. Yet these biology sections felt far more like real science than the physics ones. The articles were excellent and there seemed far more that was generally interesting here. (And I say this as someone with a physics background.)

In the end, I'm not sure that collecting together the 'best' articles (if the first section were the best physics articles, I'd hate to see the worst) from a website makes for a particularly useful book. By all means visit Quanta and read the articles there (they even have illustrations!) - it's a great resource. But the book doesn't do it for me.
Paperback 

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

Comments

Popular posts from this blog

David Spiegelhalter Five Way interview

Professor Sir David Spiegelhalter FRS OBE is Emeritus Professor of Statistics in the Centre for Mathematical Sciences at the University of Cambridge. He was previously Chair of the Winton Centre for Risk and Evidence Communication and has presented the BBC4 documentaries Tails you Win: the Science of Chance, the award-winning Climate Change by Numbers. His bestselling book, The Art of Statistics , was published in March 2019. He was knighted in 2014 for services to medical statistics, was President of the Royal Statistical Society (2017-2018), and became a Non-Executive Director of the UK Statistics Authority in 2020. His latest book is The Art of Uncertainty . Why probability? because I have been fascinated by the idea of probability, and what it might be, for over 50 years. Why is the ‘P’ word missing from the title? That's a good question.  Partly so as not to make it sound like a technical book, but also because I did not want to give the impression that it was yet another book

The Genetic Book of the Dead: Richard Dawkins ****

When someone came up with the title for this book they were probably thinking deep cultural echoes - I suspect I'm not the only Robert Rankin fan in whom it raised a smile instead, thinking of The Suburban Book of the Dead . That aside, this is a glossy and engaging book showing how physical makeup (phenotype), behaviour and more tell us about the past, with the messenger being (inevitably, this being Richard Dawkins) the genes. Worthy of comment straight away are the illustrations - this is one of the best illustrated science books I've ever come across. Generally illustrations are either an afterthought, or the book is heavily illustrated and the text is really just an accompaniment to the pictures. Here the full colour images tie in directly to the text. They are not asides, but are 'read' with the text by placing them strategically so the picture is directly with the text that refers to it. Many are photographs, though some are effective paintings by Jana Lenzová. T

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