'Lucid and entertaining. With barely an equation in sight, Numbercrunch makes a passionate case for how just a little bit more numeracy could help us all'
- Tom Whipple, The Times
'The perfect introduction to the power of mathematics - fluent, friendly and practical'
- Tim Harford, bestselling author of How to Make the World Add Up
In our hyper-modern world, we are bombarded with more facts, stats and information than ever before. So, what can we grasp hold of to make sense of it all?
Oliver Johnson reveals how mathematical thinking can help us understand the myriad data all around us. From the exponential growth of viruses to social media filter-bubbles; from share-price fluctuations to growth of computing power; from the datafication of our sports pages to quantifying climate change. Not to mention the things much closer to home: ever wondered when the best time is to leave a party? What are the chances of rain ruining your barbecue this weekend? How about which queue is the best to join in the supermarket?
Journeying through the three sections of Randomness, Structure, and Information, we meet a host of brilliant minds such Alan Turing, Enrico Fermi and Claude Shannon, and we learn the tools, tips and tricks to cut through the noise all around us - from the Law of Large Numbers to Entropy to Brownian Motion.
Lucid, surprising, and endlessly entertaining, Numbercrunch equips you with a definitive mathematician's toolkit to make sense of your world.
Author(s): Oliver Johnson
Edition: 1
Publisher: Heligo Books
Year: 2023
Language: English
Pages: 329
City: London
Tags: Mathematical Thinking; Mathematical Interpretation; Numbers; Randomness; Structure; Information; Information Representation
Praise for Numbercrunch
Half Title
About the Author
Title Page
Copyright
Dedication
Epigraph
Contents
Introduction
Part 1: Structure
Chapter 1: The right picture is worth a thousand words
Chapter 2: Getting it in the right ballpark
Chapter 3: Captain’s log
Chapter 4: Following the rules
Part 2: Randomness
Chapter 5: Data is random
Chapter 6: Vital statistics
Chapter 7: Positives and negatives
Chapter 8: Odds and trends
Part 3: Information
Chapter 9: Information is power
Chapter 10: Drunkards, queues and networks
Chapter 11: Measure for measure
Chapter 12: Game theory
Part 4: Lessons
Chapter 13: Learning from error
Acknowledgements
Glossary
Further reading
Index
Sources