Skip to main content

Afterglow of Creation – Marcus Chown ****

This is the story of the cosmic background radiation – the ‘afterglow’ of the Big Bang in which the Universe was born – and how it was discovered.
Chown brilliantly weaves a tale of the search for the origins of the Universe, from the early years of cosmology (remarkably less than 100 years ago) to the flight of the COBE satellite and its crucial discovery.
This is the supreme detective story of cosmology. It begins in 1924 with Hubble’s discovery of galaxies and continues through to the 1992 discovery of extremely distant remnants of the Big Bang, ripples in space/time that provide a tantalising echo of the first beginnings.
Like all the best popular science, the book is as much about the people involved as the science itself. Afterglow finishes with a description of the resulting publicity and wrangling among team members who felt that one team leader, George Smoot (who had described a “map” of the ripples as “like seeing the face of God”), was hogging the spotlight. It’s a very relevant reminder that scientists may attempt to be objective in their work, but remain human.
Now newly republished in an updated edition, this book was nominated the prestigious Rhone Poulenc prize for science writing (now the Royal Society Prize).

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

Comments

Popular posts from this blog

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

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

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