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El. knyga: Millions, Billions, Zillions: Defending Yourself in a World of Too Many Numbers

3.75/5 (105 ratings by Goodreads)
  • Formatas: 176 pages
  • Išleidimo metai: 06-Nov-2018
  • Leidėjas: Princeton University Press
  • Kalba: eng
  • ISBN-13: 9780691190136
Kitos knygos pagal šią temą:
Millions, Billions, Zillions: Defending Yourself in a World of Too Many NumbersDidesnis paveikslėlis
  • Formatas: 176 pages
  • Išleidimo metai: 06-Nov-2018
  • Leidėjas: Princeton University Press
  • Kalba: eng
  • ISBN-13: 9780691190136
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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, Brian Kernighan teaches anyone—even diehard math-phobes—how to demystify the numbers that assault us every day. 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.

Preface xi
Chapter 1 Getting Started
1(8)
Chapter 2 Millions, Billions, Zillions
9(10)
2.1 How long will it last?
10(1)
2.2 How can this be?
11(3)
2.3 Check the units
14(3)
2.4 Summary
17(2)
Chapter 3 Big Numbers
19(12)
3.1 Number numb
20(2)
3.2 What's my share?
22(3)
3.3 High finance
25(2)
3.4 Other big numbers
27(1)
3.5 Visualizations and graphical explanations
28(2)
3.6 Summary
30(1)
Chapter 4 Mega, Giga, Tera, And Beyond
31(10)
4.1 How big is an e-book?
32(4)
4.2 Scientific notation
36(2)
4.3 Mangled units
38(1)
4.4 Summary
39(2)
Chapter 5 Units
41(8)
5.1 Get the units right
41(2)
5.2 Reasoning backwards
43(3)
5.3 Summary
46(3)
Chapter 6 Dimensionality
49(10)
6.1 Square feet and feet square
50(1)
6.2 Area
51(3)
6.3 Volume
54(3)
6.4 Summary
57(2)
Chapter 7 Milestones
59(10)
7.1 Little's Law
59(3)
7.2 Consistency
62(3)
7.3 Another example
65(1)
7.4 Summary
65(4)
Chapter 8 Specious Precision
69(16)
8.1 Watch out for calculators
70(1)
8.2 Units conversions
71(6)
8.3 Temperature conversions
77(2)
8.4 Ranking schemes
79(2)
8.5 Summary
81(4)
Chapter 9 Lies, Damned Lies, And Statistics
85(10)
9.1 Average versus median
86(2)
9.2 Sample bias
88(2)
9.3 Survivor bias
90(1)
9.4 Correlation and causation
91(1)
9.5 Summary
92(3)
Chapter 10 Graphical Trickery
95(14)
10.1 Gee-whiz graphs
96(3)
10.2 Broken axes
99(1)
10.3 Pie charts
100(2)
10.4 One-dimensional pictures
102(2)
10.5 Summary
104(5)
Chapter 11 Bias
109(10)
11.1 Who says so?
110(2)
11.2 Why do they care?
112(1)
11.3 What do they want you to believe?
113(3)
11.4 Summary
116(3)
Chapter 12 Arithmetic
119(18)
12.1 Do the math!
120(1)
12.2 Approximate arithmetic, round numbers
121(1)
12.3 Annual and lifetime rates
122(2)
12.4 Powers of 2 and powers of 10
124(2)
12.5 Compounding and the Rule of 72
126(3)
12.6 It's growing exponentially!
129(2)
12.7 Percentages and percentage points
131(1)
12.8 What goes up comes down, but differently
132(3)
12.9 Summary
135(2)
Chapter 13 Estimation
137(14)
13.1 Make your own estimate first
138(2)
13.2 Practice, practice, practice
140(2)
13.3 Fermi problems
142(3)
13.4 My estimates
145(3)
13.5 Know some facts
148(1)
13.6 Summary
149(2)
Chapter 14 Self Defense
151(6)
14.1 Recognize the enemy
151(2)
14.2 Beware of the source
153(1)
14.3 Learn some numbers, facts, and shortcuts
154(1)
14.4 Use your common sense and experience
155(2)
Further Reading 157(2)
Figure Credits 159
Brian W. Kernighan is professor of computer science at Princeton University. His many books include Understanding the Digital World: What You Need to Know about Computers, the Internet, Privacy, and Security (Princeton).
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