Skip to main content

Decoding Reality – Vlatko Vedral ****

This is a class of popular science book that has a lot going for it, but carries a lot of risks. It’s written by a practising scientist, rather than a professional writer – which can mean anything from awful writing to real cutting edge thrills.
If I’m honest, Vlatko Vedral’s writing style is a touch amateurish – but this doesn’t really matter because it’s more than countered by his enthusiasm, which shines through, and his earnest honesty about the scientific method and his subject. This is a fascinating one – the significance of information in the universe. Vedral ties together information, entropy, the nature of the universe, quantum theory and more in a fascinating yet rarely heavy tour of the topic. We get a combination of an explanation of basic information theory with an expansion of this to describe what could be the underlying mechanism of everything. This gets particularly interesting when we get taken into quantum information theory and how it builds on classical theory to make a more wide-reaching whole.
This is all excellent stuff, but a combination of that writing style and one other thing makes me wish Vedral had taken on a science writer as a co-author. The second thing is a certain carelessness with the facts. When outside the author’s own particular sphere, the book can be quite inaccurate.
A few examples – he tells us George Bernard Shaw was English (which would have him turning in his grave). He makes a very confusing statement about global warming. He suggests that global warming is inherent – that the planet will always heat up because processes are inefficient and will always generate heat, which will warm the planet. But this to have a certain lasting effect assumes the Earth is a closed system, which is patently not true.
When he strays into the stock market, he makes the fundamentally flawed assumption that it is possible to deduce future performance from past data (which if true would mean there would be no panics, no crashes). In telling us about six degrees of separation he gives a figure that assumes there are no mutual acquaintances, which seems more than a little dubious. In fact I’m reminded of the early 20th century physicists who taken in by psychics – they proved too naive outside their own field, and this comes across strongly here.
Two other quick examples – he suggests Archimedes’ book The Sand Reckoner was commissioned by King Gelon, where it’s much more likely Archimedes wrote it independently (merely dedicating it to Gelon) to demonstrate how to extend the limited Greek number system. And he gives an estimate for the size of the universe using a diameter of 15 billion light years, which seems remarkably far off current estimates. Oh, and he sinks into mushy mysticism at the end.
Perhaps the worst failure is that he moans that most people don’t understand information theory when it’s so simple – then fails to explain it in a way that most readers will grasp. For example he tells us that an increase in entropy is the same as an increase in information, but doesn’t really explain this, where it is quite easily put across with simple examples.
This isn’t a bad book – far from it – and that’s why I’ve given it four stars. The subject is very powerful and much of what Vedral has to tell us along the way makes interesting reading, particularly when he sticks to the physics and doesn’t try to extend to the likes of the stock market and social interaction. But it could have been so much better.

Hardback:  

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

Comments

Popular posts from this blog

Beyond Belief - Helen Pearson *****

Apparently it comes as a surprise to many that medicine was not particularly scientific until the end of the twentieth century (to be honest, it's no surprise to me - we had a GP who used homeopathy in the 90s). Instead it was based on anecdotal guidance - the kind of thing that appeared to work. Evidence-based medicine has since improved the field, trying where possible to base decisions on evidence, ideally based on randomised controlled trials. The first part of Helen Pearson's book covers this well - though I think it's by far the least interesting part of what we discover. Instead what's truly fascinating is the rest of it, looking at a wide range of other fields where evidence was rarely properly used and that are only now starting to dip a toe in the water. These include social policy, policing, conservation, business and education. The main part of the book gives us examples of how bad these areas have been in terms of basing decisions on what's always been ...

In Seach of Sea Dragons - Matthew Myerscough ****

It's common advice to would-be authors of narrative non-fiction to open with something dramatic - Matthew Myerscough certainly does this with the story of his being trapped under an avalanche on Snowdon (while his girlfriend, also carried away remains on top of the snow unhurt). It certainly is dramatic, but seemed entirely disconnected from the reason I got the book, which was to read about fossil collecting.  Luckily, though, in the second chapter we get into a more conventional 'how I got interested in fossils as a boy'. Having recently reviewed Patrick Moore's autobiography and noting that astronomy was one of the few sciences where amateurs can still make a contribution, it came to mind that palaeontology is another - Myerscough is a civil engineer by trade, but just as amateur astronomers can find new details in the skies, so amateur fossil hunters have been searching for these relics for centuries. When I give talks in junior schools, the two topics that guarant...

The Infinity Machine - Sebastian Mallaby ****

It's very quickly clear that Sebastian Mallaby is a huge Demis Hassabis fan - writing about the only child prodigy and teen genius ever who was also a nice, rounded personality. After a few chapters, though, things settle down (I'm reminded of Douglas Adams' description of the Hitchhiker's Guide to the Galaxy ) and we get a good, solid trip through the journey that gave us DeepMind, their AlphaGo and AlphaFold programs, the sudden explosion of competition on the AI front and thoughts on artificial general intelligence. Although Mallaby does occasionally still go into fan mode - reading this you would think that AlphaFold had successfully perfectly predicted the structure of every protein, where it is usually not sufficiently accurate for its results to have direct practical application - we get a real feel for the way this relatively unusual company was swiftly and successfully developed away from Silicon Valley. It's readable and gives an important understanding of...