Numbercrunch equips readers with the mathematical tools and thinking to understand the myriad data all around us. I follow Professor Johnson on Twitter, and found him a helpful, moderate source of information during the pandemic.

I’ve been led through the basic understanding of some mathematics relevant to everyday statistics I see. An excellent, straightforward introduction to usefulness of numbers, which gets to the heart of why maths is so important to all of us. David Spiegelhalter, author o f The Art of Statistics also referred to it as ‘A fine and valuable read. Not to mention the things much closer to home: ever wondered when the best time is to leave a party?Absolut empfehlenswert für jeden, der entweder privat oder im Beruf Datenzusammenhänge besser verstehen möchte. To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average.

We are experiencing delays with deliveries to many countries, but in most cases local services have now resumed.And if every journalist and pundit would read even just chapter 7, our media would be so much better for it. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Oliver Johnson is Professor of Information Theory and Director of the Institute for Statistical Science in the School of Mathematics. In an age driven more and more by data and misinformation this book cuts through the fudges and fiddles beloved of politicians and obfuscators and outright liars to give a modern insight into discerning what the data and information really say and how to understand it all. This is a super fascinating, well-written and amusing guide to how an understanding of numbers can help us make sense of all the data/information around us.

With barely an equation in sight, Numbercrunch makes a passionate case for how just a little bit more numeracy could help us all. In our hyper-modern world, we are bombarded with more facts, stats and information than ever before. However, even in this topic, the good professor stumbles by trying to justify some of the official view points (of which he's a part of).I also find some issues with the way the concepts are explained as this could easily confuse someone unfamiliar with maths. The 103 third parties who use cookies on this service do so for their purposes of displaying and measuring personalized ads, generating audience insights, and developing and improving products. It is a pity that most examples in the book are based on the covid pandemic only, as the title of the does not suggest that. Journeying through three sections - Randomness, Structure, and Information - we meet a host of brilliant minds, such Alan Turing, Enrico Fermi and Claude Shannon, and are equipped with the tools to cut through the noise all around us - from the Law of Large Numbers to Entropy to Brownian Motion.