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

Who Invented the Computer? – Ian Watson

Ian Watson is the author of  The Universal Machine  and featured in a recent  Four Way Interview . Saturday June 23 2012 was the centenary of the birth of Alan Turing, the troubled genius who invented the modern computer. Why though do so few people recognize his name and his great achievements? In 1936 English mathematician Alan Turing, published a paper,  On Computable Numbers, with an application to the Entscheidungsproblem . This became the foundation of computing. In it Turing presented a theoretical machine that could solve any problem that could be described by instructions encoded on a paper tape. A Turing Machine could calculate square roots, whilst another might solve Sudoku puzzles. Turing demonstrated you could construct a single  Universal Machine  that could simulate any Turing Machine. One machine solving any problem for which a program could be written – sound familiar? He’d invented the computer. Then,  computers  were peop...

The Star Book – Peter Grego ****

This attractive landscape format book combines an excellent introduction to the stars and basic astronomy with a set of star maps, plus in depth looks at some of the stars featured, with a  bonus section on the solar system. Amazon says it’s a hardback, but in fact it’s a paperback with a rather ingenious cover – you can’t tell from the photo, but the words ‘The Star Book’ are punched through as a series of holes that show the white paper of the next page beneath. Like many astronomy/space books, the cover lacks shelf appeal because it is mostly black, but at least there is some original thought here. Unlike many books in this format which tend to concentrate on the pictures, there is a good deal of excellent text by Peter Grego, so there was no feeling that you were only getting the star maps and star ‘biographies’, something these days much more suited to an iPad or smartphone app. Instead, the opening 30 or so pages give a very good introduction that would be valuable to ...

Ignorance: How it drives science – Stuart Firestein *****

This is a delightful little book that really gets you thinking. I stress the ‘little’ part not as a negative, but as a good thing. There is nothing worse than fat, bloated popular science books where the author feels they have to get 120,000 words to be taken seriously. This is the sort of book that can be read in a couple of hours – but you will get so much more out of it than one of those tedious doorstops. The premise underlying the book is in once sense extremely simple, yet is fundamental to an understanding of what science is and what scientists do. And it is an understanding that is totally at odds with the typical way science is portrayed both in university lectures and popular science books. As Stuart Firestein points out, what is important is not the facts, but rather the area of ignorance. The interesting part and the fundamental heart of science is not about what we know, but about what we don’t know and where we want to look next. Take this lovely quote: ‘Working ...