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Millions, billions, zillions : defending yourself in a world of too many numbers

por Brian Kernighan

Otros autores: Lorraine Doneker (Diseñador de cubierta)

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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.… (más)
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[nota: esiste anche la traduzione italiana, Milioni, miliardi, fantastiliardi, che però non ho letto]. Un qualunque informatico della mia età o anche un po' più giovane, se sente parlare di Kernighan, pensa immediatamente al linguaggio C e al Kernighan-Ritchie. I più esperti sanno anche che lui è la K del linguaggio awk. È perciò buffo scoprire che è ancora attivo e ha da poco scritto questo libro, il cui scopo specifico è insegnare alla gente come non aver paura dei numeroni che ci assediano e soprattutto accorgersi degli errori marchiani che spesso si trovano nei giornali. Ho il sospetto che collezionare questi errori e le eventuali correzioni - nella stampa americana è molto più facile che capiti rispetto che da noi - sia un suo hobby. Il libro insegna attraverso tanti esempi ad applicare la nobile arte della spannometria, e quindi è altamente meritorio; forse è un po' troppo simile a un manuale, compreso il recap alla fine di qualunque capitolo, ma non ci si può aspettare nulla di diverso, no? Fatevi comunque un favore e leggetelo! ( )
  .mau. | Sep 4, 2020 |
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Nombre del autorRolTipo de autor¿Obra?Estado
Kernighan, BrianAutorautor principaltodas las edicionesconfirmado
Doneker, LorraineDiseñador de cubiertaautor secundariotodas las edicionesconfirmado
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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.

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