Millions, Billions, Zillions : : Defending Yourself in a World of Too Many Numbers / / Brian W. Kernighan.
An essential guide to recognizing bogus numbers and misleading dataNumbers 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 numb...
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Superior document: | Title is part of eBook package: De Gruyter Princeton University Press Complete eBook-Package 2019 |
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Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2018] ©2019 |
Year of Publication: | 2018 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (176 p.) |
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100 | 1 | |a Kernighan, Brian W., |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Millions, Billions, Zillions : |b Defending Yourself in a World of Too Many Numbers / |c Brian W. Kernighan. |
264 | 1 | |a Princeton, NJ : |b Princeton University Press, |c [2018] | |
264 | 4 | |c ©2019 | |
300 | |a 1 online resource (176 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Chapter 1: Getting Started -- |t Chapter 2: Millions, Billions, Zillions -- |t Chapter 3: Big Numbers -- |t Chapter 4: Mega, Giga, Tera, and Beyond -- |t Chapter 5: Units -- |t Chapter 6: Dimensionality -- |t Chapter 7: Milestones -- |t Chapter 8: Specious Precision -- |t Chapter 9: Lies, Damned Lies, and Statistics -- |t Chapter 10: Graphical Trickery -- |t Chapter 11: Bias -- |t Chapter 12: Arithmetic -- |t Chapter 13: Estimation -- |t Chapter 14: Self Defense -- |t Further Reading -- |t Figure Credits |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a An essential guide to recognizing bogus numbers and misleading dataNumbers 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. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Apr 2024) | |
650 | 0 | |a Data mining. | |
650 | 0 | |a Numbers, Complex. | |
650 | 7 | |a MATHEMATICS / Counting & Numeration. |2 bisacsh | |
653 | |a A picture is worth a thousand words. | ||
653 | |a AARP. | ||
653 | |a American Medical Association. | ||
653 | |a Approximation. | ||
653 | |a Arithmetic mean. | ||
653 | |a Arithmetic. | ||
653 | |a Associated Press. | ||
653 | |a Baby boomers. | ||
653 | |a Back-of-the-envelope calculation. | ||
653 | |a Barrel (unit). | ||
653 | |a Birth rate. | ||
653 | |a Blogger (service). | ||
653 | |a Body surface area. | ||
653 | |a Breast cancer. | ||
653 | |a Calculation. | ||
653 | |a Celsius. | ||
653 | |a Centenarian. | ||
653 | |a Computation. | ||
653 | |a Consumer Reports. | ||
653 | |a Corporate tax. | ||
653 | |a Correlation does not imply causation. | ||
653 | |a Daniel Kahneman. | ||
653 | |a Darrell Huff. | ||
653 | |a Dilbert. | ||
653 | |a Dot-com bubble. | ||
653 | |a Economics. | ||
653 | |a Edward Tufte. | ||
653 | |a Error. | ||
653 | |a Estimation. | ||
653 | |a Exabyte. | ||
653 | |a Exponential growth. | ||
653 | |a FLOPS. | ||
653 | |a Factoid. | ||
653 | |a Fermi problem. | ||
653 | |a Gigabyte. | ||
653 | |a Half Gone. | ||
653 | |a Headline. | ||
653 | |a Hectare. | ||
653 | |a Home computer. | ||
653 | |a How to Lie with Statistics. | ||
653 | |a Hulu. | ||
653 | |a Identity theft. | ||
653 | |a Inception. | ||
653 | |a Inflation. | ||
653 | |a Innumeracy (book). | ||
653 | |a Jeff Bezos. | ||
653 | |a John Maynard Keynes. | ||
653 | |a Just in case. | ||
653 | |a Kilobit. | ||
653 | |a Kilogram. | ||
653 | |a Life expectancy. | ||
653 | |a Little's law. | ||
653 | |a Millionth. | ||
653 | |a Mortality rate. | ||
653 | |a My Local. | ||
653 | |a Naomi Wolf. | ||
653 | |a National Rifle Association. | ||
653 | |a Net worth. | ||
653 | |a Newspaper. | ||
653 | |a Newsweek. | ||
653 | |a Nobel Prize. | ||
653 | |a Order of magnitude. | ||
653 | |a Outright. | ||
653 | |a Percentage point. | ||
653 | |a Percentage. | ||
653 | |a Petabit. | ||
653 | |a Petabyte. | ||
653 | |a Population growth. | ||
653 | |a Pound sterling. | ||
653 | |a Power of 10. | ||
653 | |a Quadrillion. | ||
653 | |a Quantity. | ||
653 | |a Ranking (information retrieval). | ||
653 | |a Result. | ||
653 | |a Round number. | ||
653 | |a Rule of 72. | ||
653 | |a Sampling bias. | ||
653 | |a School bus. | ||
653 | |a Scientific notation. | ||
653 | |a Square foot. | ||
653 | |a Square yard. | ||
653 | |a Strategic Petroleum Reserve (United States). | ||
653 | |a Tax cut. | ||
653 | |a Tax. | ||
653 | |a Technology. | ||
653 | |a Terabit. | ||
653 | |a The Beauty Myth. | ||
653 | |a The Colbert Report. | ||
653 | |a The New York Times. | ||
653 | |a The Wisdom of Crowds. | ||
653 | |a The World's Billionaires. | ||
653 | |a U.S. News & World Report. | ||
653 | |a Ultra-high-definition television. | ||
653 | |a Unemployment. | ||
653 | |a W. E. B. Du Bois. | ||
653 | |a Warren Buffett. | ||
653 | |a With high probability. | ||
653 | |a Year. | ||
653 | |a Your Computer (British magazine). | ||
653 | |a Zettabyte. | ||
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t Princeton University Press Complete eBook-Package 2019 |z 9783110663365 |
776 | 0 | |c print |z 9780691182773 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9780691190136?locatt=mode:legacy |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9780691190136 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9780691190136/original |
912 | |a 978-3-11-066336-5 Princeton University Press Complete eBook-Package 2019 |b 2019 | ||
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