Skip to main content

New Theories of Everything – John D. Barrow ****

Could this be the only science book you will ever need to read? After all it is, in effect, trying to assemble an explanation for life, the universe and everything. Those who worry about unweaving the rainbow will perhaps gain some solace in Barrow’s penultimate sentence in the book. ‘No Theory of everything can ever provide total insight.’ I’ll leave you to read the book to discover the punchline.
This is a brave effort from Barrow to break of all of science down to universals, not in the sense of exploring current thinking in every branch of science, but rather pulling apart the tools that science uses – as he calls it, the eightfold way – and getting a better understanding of the insights that everything from an understanding of symmetry to the nature of universal constants brings us. Along the way, he merrily weaves in an impressive range of associations and concepts that will help in the big picture.
I confess I don’t agree entirely with one of the key axioms that leads to Barrow’s description. He says that … we recognize science to be the search for algorithmic compressions. We list sequences of observed data. We try to formulate algorithms that compactly repesent the information content of those sequences. Then we test the correctness of our hypothetical abbreviations by using them to predict the next terms in the string. These predictions can then be compared with the future direction of the data sequence. Without the development of algorithmic compressions of data, all science would be replaced by mindless stamp collecting – the indiscriminate accumulation of every available fact. While there is plenty of truth in this statement, it seems to miss the real big picture explanatory/sense of wonder aspects of science, limiting it to either stamp collecting (information gathering) or reducing numbers to rules that generate those numbers. It’s no surprise that Barrow is a proponent of the ‘it from bit’ concept that considers the whole universe as, in effect, a vast computer program.
The writing style is probably not for everyone. I was a little unnerved by Barrow’s use of the first person plural (‘it is our intention…’) and in general the feel is something between a university lecture and Radio Four’s ‘In our Time.’ Not a bad thing per se, but at the distancing end of popular science. Even so, this is a powerful book and one that repays the indubitable effort required to read it with some intriguing insights.
Paperback:  
Also on Kindle:  
Review by Brian Clegg

Comments

Popular posts from this blog

Cosmology for the Curious - Delia Perlov and Alex Vilenkin ***

In the recently published The Little Book of Black Holes we saw what I thought was pretty much impossible - a good, next level, general audience science title, spanning the gap between a typical popular science book and an introductory textbook, but very much in the style of popular science. Cosmology for the Curious does something similar, but coming from the other direction. This is an introductory textbook, intended for first year physics students, with familiar textbook features like questions to answer at the end of each chapter. Yet by incorporating some history and context, plus taking a more relaxed style in the writing, it's certainly more approachable than a typical textbook.

The first main section, The Big Bang and the Observable Universe not only covers basic big bang cosmology but fills in the basics of special and general relativity, Hubble's law, dark matter, dark energy and more. We then move onto the more speculative (this is cosmology, after all) aspects, brin…

Astrophysics for People in a Hurry – Neil deGrasse Tyson *****

When I reviewed James Binney’s Astrophysics: A Very Short Introduction earlier this year, I observed that the very word ‘astrophysics’ in a book’s title is liable to deter many readers from buying it. As a former astrophysicist myself, I’ve never really understood why it’s considered such a scary word, but that’s the way it is. So I was pleasantly surprised to learn, from Wikipedia, that this new book by Neil deGrasse Tyson ‘topped The New York Times non-fiction bestseller list for four weeks in the middle of 2017’.

Like James Binney, Tyson is a professional astrophysicist with a string of research papers to his name – but he’s also one of America’s top science popularisers, and that’s the hat he’s wearing in this book. While Binney addresses an already-physics-literate audience, Tyson sets his sights on a much wider readership. It’s actually very brave – and honest – of him to give physics such prominent billing; the book could easily have been given a more reader-friendly title such …

Once upon and Algorithm - Martin Erwig ***

I've been itching to start reading this book for some time, as the premise was so intriguing - to inform the reader about computer science and algorithms using stories as analogies to understand the process.

This is exactly what Martin Erwig does, starting (as the cover suggests) with Hansel and Gretel, and then bringing in Sherlock Holmes (and particularly The Hound of the Baskervilles), Indiana Jones, the song 'Over the Rainbow' (more on that in a moment), Groundhog Day, Back to the Future and Harry Potter.

The idea is to show how some aspect of the story - in the case of Hansel and Gretel, laying a trail of stones/breadcrumbs, then attempting to follow them home - can be seen as a kind of algorithm or computation and gradually adding in computing standards, such as searching, queues and lists, loops, recursion and more.

This really would have been a brilliant book if Erwig had got himself a co-author who knew how to write for the public, but sadly the style is mostly heavy…