Skip to main content

The Tipping Point – Malcolm Gladwell ****

This little book is highly entertaining. There’s frankly not a lot in it, and certainly nothing original. The concepts Gladwell puts across were being taught on my Operational Research masters in the 1970s. But what he is so good at (and did again in his second book Blink) is taking a very simple but powerful concept and transforming it into a great little book by providing very clear, engaging stories that put the idea into context. It’s the stories that are fresh and powerful.
In this book the idea is the mechanism for the spread of a concept, a fad, a virally marketed product is like an epidemic. The mathematical mechanisms are well understood, but because they aren’t ones that come naturally to us they take us by surprise time and time again.
Gladwell shows how different types of interconnects between people spread ideas, and finding a relatively small number of people with the right connections can make a huge difference. Covering everything from six degrees of connection to Sesame Street, it’s very well sewn together.
Frankly, the content doesn’t deserve those four stars, but it does have a scientific basis, and Gladwell’s excellent story telling makes it such a good read that it’s a light relief after much popular science.
What’s more, this is a book you can read on a wet afternoon, it won’t take weeks of study, which again isn’t a bad thing.
All in all, a great little book.

Paperback:  
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