Millions, Billions, Zillions

Defending Yourself in a World of Too Many Numbers

Brian W. Kernighan

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English

Princeton University Pres
14 January 2019

Media studies; Mathematics & Sciences; Mathematical foundations

An essential guide to recognizing bogus numbers and misleading data Numbers are often intimidating, confusing, and even deliberately deceptive - especially when they are really big. The media loves to report on millions, billions, and trillions, but frequently makes basic mistakes or presents such numbers in misleading ways. And misunderstanding numbers can have serious consequences, since they can deceive us in many of our most important decisions, including how to vote, what to buy, and whether to make a financial investment. In this short, accessible, enlightening, and entertaining book, leading computer scientist Brian Kernighan teaches anyone - even diehard math-phobes - how to demystify the numbers that assault us every day.

With examples drawn from a rich variety of sources, including journalism, advertising, and politics, Kernighan demonstrates how numbers can mislead and misrepresent. In chapters covering big numbers, units, dimensions, and more, he lays bare everything from deceptive graphs to speciously precise numbers. And he shows how anyone - using a few basic ideas and lots of shortcuts - can easily learn to recognize common mistakes, determine whether numbers are credible, and make their own sensible estimates when needed.

Giving you the simple tools you need to avoid being fooled by dubious numbers, Millions, Billions, Zillions is an essential survival guide for a world drowning in big - and often bad - data.

By: Brian W. Kernighan
Imprint: Princeton University Pres
Country of Publication: United States
Dimensions: Height: 191mm, Width: 114mm,
ISBN: 9780691182773
ISBN 10: 0691182779
Pages: 176
Publication Date: 14 January 2019
Audience: General/trade , Professional and scholarly , General/trade , ELT Advanced , Undergraduate
Format: Hardback
Publisher's Status: Active

Brian W. Kernighan is Professor of Computer Science at Princeton University. His research covers programming languages/compilers, security/privacy, and security/policy. His most recent publication is Understanding the Digital World: What You Need to Know About Computers, the Internet, and Security (Princeton, 2017). Notable works include AMPL: A Modeling Language for Mathematical Programming (with D. Gay and R. Fourer) (Cengage, 2002).

Reviews for Millions, Billions, Zillions: Defending Yourself in a World of Too Many Numbers

This sophisticated, rich, and accessible book walks us through something we all need but are almost never taught: number sense. The reader is left with real skills and confidence about understanding and interpreting numbers, probabilities, graphics, and much more. Brian Kernighan has done a great service by offering tools that will help all of us become more informed citizens, patients, parents, and news consumers--and better bullshit detectors. --Zeynep Tufekci, contributing opinion writer for the New York Times and author of Twitter and Tear Gas: The Power and Fragility of Networked Protest The indispensable guide to numerical trickery, deception, and flimflam! --Harry Lewis, coauthor of Blown to Bits: Your Life, Liberty, and Happiness after the Digital Explosion A delightful introduction to an important topic, this book will appeal to far more than technical readers and could become a classic. --Jon Bentley, retired Distinguished Member of Technical Staff, Bell Labs Research