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Humble Pi: When Math Goes Wrong in the Real World [Mīkstie vāki]

4.10/5 (21487 ratings by Goodreads)
  • Formāts: Paperback / softback, 336 pages, height x width x depth: 209x140x21 mm, weight: 306 g, BLACK-AND-WHITE ART THROUGHOUT
  • Izdošanas datums: 19-Jan-2021
  • Izdevniecība: Riverhead Books,U.S.
  • ISBN-10: 0593084691
  • ISBN-13: 9780593084694
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 20,90 €
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  • Formāts: Paperback / softback, 336 pages, height x width x depth: 209x140x21 mm, weight: 306 g, BLACK-AND-WHITE ART THROUGHOUT
  • Izdošanas datums: 19-Jan-2021
  • Izdevniecība: Riverhead Books,U.S.
  • ISBN-10: 0593084691
  • ISBN-13: 9780593084694
Citas grāmatas par šo tēmu:
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AN ADAM SAVAGE BOOK CLUB PICK

The book-length answer to anyone who ever put their hand up in math class and asked, “When am I ever going to use this in the real world ” 

“Fun, informative, and relentlessly entertaining, Humble Pi is a charming and very readable guide to some of humanity's all-time greatest miscalculations—that also gives you permission to feel a little better about some of your own mistakes.” —Ryan North, author of How to Invent Everything 


Our whole world is built on math, from the code running a website to the equations enabling the design of skyscrapers and bridges. Most of the time this math works quietly behind the scenes . . . until it doesn’t. All sorts of seemingly innocuous mathematical mistakes can have significant consequences.

Math is easy to ignore until a misplaced decimal point upends the stock market, a unit conversion error causes a plane to crash, or someone divides by zero and stalls a battleship in the middle of the ocean.

Exploring and explaining a litany of glitches, near misses, and mathematical mishaps involving the internet, big data, elections, street signs, lotteries, the Roman Empire, and an Olympic team, Matt Parker uncovers the bizarre ways math trips us up, and what this reveals about its essential place in our world. Getting it wrong has never been more fun.
Introduction 311
1 Losing Track of Time
303
2 Engineering Mistakes
281
3 Little Data
259
4 Out of Shape
237
5 You Can't Count on It
211
6 Does Not Compute
189
7 Probably Wrong
171
8 Put Your Money Where Your Mistakes Are
149
9 A Roundabout Way
129
9.49 Too Small to Notice
111
10 Units, Conventions, and Why Can't We All Just Get Along?
97
11 Stats the Way I Like It
75
12 Tltloay Rodanm
53
13 Does Not Compute
29
So, What Have We Learned from Our Mistakes?
9
Afterword
Acknowledgments
List of Illustrations
Index