Skip to main content

How to Make the World Add Up - Tim Harford ****

Many UK listeners will be familiar with the BBC's excellent More or Less radio show, hosted by the Financial Times' 'undercover economist' Tim Harford. The programme takes on numbers in the news to explain them and, where necessary, show what's wrong with them, in a light but informative fashion. The only slight problem with the programme is that it does tend towards silly presentation styles (though the last couple of years these have been toned down). On his own, Tim Harford is perhaps less fun and more serious in style, but remains approachable on a subject that most of us ought to understand better.

One of the most enjoyable things in the field is to shoot down misuse of stats. It's certainly an important thing to do, but Harford points out that only doing this, while entertaining, is potentially dangerous as it may lead to a total detachment from the usefulness of statistics. Instead, he suggests, we need to get better about thinking about the numbers we are bombarded with in our lives, so that we can most sensibly make use of what we are being told.

The approach in the book, in the fashionable 'ten rules' style, gives us a series of statistical 'commandments' such as being aware of our emotional response to data to avoid simply reacting based on emotion, or finding appropriate context, or being aware that facts can change. For each of the ten we are given examples, mostly historical, though all interesting. It's a shame in a way that the book was finished in March, so we get a few initial thoughts on by far the biggest statistical impact on lives in 2020 - the coronavirus pandemic - but it was too soon to have in-depth examples from this.

In the final chapter, Harford condenses all his commandments in New Testament style into simpler guidance that encompasses the rest - be curious. It is curiosity that inspires us to explore the statistics we are given - and to question them effectively when they need questioning, rather than simply dismissing them as fake news or accepting them as indisputable fact.

If you want guidance on what's really happening in the numbers we see, it's impossible to beat David Spiegelhalter's magisterial The Art of Statistics. But if you want to discover the best mindset to appreciate statistics, make the most of them and find where it's necessary to ask more and doubt the outcome, then Harford, through How to Make the World Add Up, is an ideal guide.

I'm reminded in a way of Brian Cox's popular science titles written with Jeff Forshaw, such as The Quantum Universe. If the fans of Cox's fluffy TV documentaries were to pick up one of these books (as no doubt many did), they would find it a lot harder going that the TV shows, but more intellectually rewarding. There's not quite such a disparity between Harford's book and More or Less - but listeners will find it less of an educational entertainment and more of an educative read.

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

Comments

Popular posts from this blog

It's On You - Nick Chater and George Loewenstein *****

Going on the cover you might think this was a political polemic - and admittedly there's an element of that - but the reason it's so good is quite different. It shows how behavioural economics and social psychology have led us astray by putting the focus way too much on individuals. A particular target is the concept of nudges which (as described in Brainjacking ) have been hugely over-rated. But overall the key problem ties to another psychological concept: framing. Huge kudos to both Nick Chater and George Loewenstein - a behavioural scientist and an economics and psychology professor - for having the guts to take on the flaws in their own earlier work and that of colleagues, because they make clear just how limited and potentially dangerous is the belief that individuals changing their behaviour can solve large-scale problems. The main thesis of the book is that there are two ways to approach the major problems we face - an 'i-frame' where we focus on the individual ...

Introducing Artificial Intelligence – Henry Brighton & Howard Selina ****

It is almost impossible to rate these relentlessly hip books – they are pure marmite*. The huge  Introducing  … series (a vast range of books covering everything from Quantum Theory to Islam), previously known as …  for Beginners , puts across the message in a style that owes as much to Terry Gilliam and pop art as it does to popular science. Pretty well every page features large graphics with speech bubbles that are supposed to emphasise the point. Funnily,  Introducing Artificial Intelligence  is both a good and bad example of the series. Let’s get the bad bits out of the way first. The illustrators of these books are very variable, and I didn’t particularly like the pictures here. They did add something – the illustrations in these books always have a lot of information content, rather than being window dressing – but they seemed more detached from the text and rather lacking in the oomph the best versions have. The other real problem is that...

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...