Skip to main content

John Gribbin – Four Way Interview

John Gribbin is one of Britain’s foremost science writers. John gained a PhD from the Institute of Astronomy in Cambridge (then under the leadership of Fred Hoyle) before working as a science journalist for Nature and later New Scientist. He is the author of a number of bestselling popular science books, including In Search of Schrödinger’s Cat, In Search of the Multiverse, Science: A History and The Universe: A Biography. He is a Visiting Fellow at the University of Sussex and in 2000 was elected a Fellow of the Royal Society of Literature. His most recent book is Computing with Quantum Cats.
Why science?
From my earliest memories I have been interested in how things (things at large) work, and where it all comes from. I was specifically turned on to science by reading the Sf magazine Astounding (as it then was) from about the age of 8 or 9. Each issue included a “Science Fact” article. This led me to non-fiction by Asimov and Clarke. The rest is history.
Why this book?
Long-standing interest in quantum physics, merged with interest in the quantum group at Sussex University, leaders in the ion trap technology. Turing’s 100th birthday was the specific trigger.
What’s next?
Keeping it under my hat as not yet signed contracts.
What’s exciting you at the moment?
Quantum computing! This is not so obvious as it might seem, since usually by the time a book comes out I have moved on. But the field is developing faster than I can write about it. I’m also intrigued by hints of asymmetry in the cosmic background radiation, but this is very speculative as yet.

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

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...