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Laddar... The Math of Life and Death: 7 Mathematical Principles That Shape Our Lives (2019)av Kit Yates
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Gå med i LibraryThing för att få reda på om du skulle tycka om den här boken. Det finns inga diskussioner på LibraryThing om den här boken. Good grief, an alternate title could very well be "2020: all the ways the world will quantitatively fall apart." ( ) No Formulas. Just Numb3rs. In this book about how math shapes our lives, British math professor Yates doesn't take us into the algebra, geometry, and even trigonometry that we all use daily - whether we realize it or not. Instead, he takes an approach similar to the now decade old US television show Numb3rs, starring David Krumholtz and Rob Morrow, wherein he shows applications of higher level mathematics in fields such as epidemiology, medicine, law, journalism, elections, and several others. Yates cites real world examples including unjust convictions and Ebola outbreaks and many others to show how math was used incorrectly and what the math actually showed in that situation, to help the reader begin to get an overall sense of math without getting bogged down in the technical calculations. Truly an excellent book for even the more arithmophobic among us, as it shows the numbers all around us and explains how we can have a better sense of them. Disclaimers: 1) I LOVED Numb3rs back in the day and would still be watching it if it were still on the air. 2) I have a computer science degree and very nearly got secondary mathematics education and mathematics bachelors degrees at the same time as my CS one - so obviously I'm a bit more attuned to math than others. One of the best mathematical books I have ever read. Teaching the real effect of mathematics ( mostly statistics and probability theory) with real-world stories made it fun to read. How a simple idea like dependent probability which we learn using dice examples in our school, can have a huge impact on the conviction in a murder case was eye-opening. The book primarily talks about mathematical ideas like exponential growth, conditional probabilities, median vs mean, etc in a real-world context. As application of mathematics is exploding using data science and Machine learning, understanding these nuances of their application is very important. Chapter 4 which talks about media misuse of statistics is highly relevant to today's fake news era. The last chapter about mathematical epidemiology which concerns mathematical modeling of epidemics is one of the real needs of today's COVID-19 pandemic. It clearly shows why quarantine and lockdowns are important and gives a cautionary tale if it's not followed how fast an epidemic can spread. The books leave us with single an important message "Never take mathematical results as absolute truth. Always question the source of data, assumptions behind the model, and their biases.". Taking this attitude towards the mathematics as yet another tool to model the complex real-world makes it more potent rather than blind usage. inga recensioner | lägg till en recension
"We are all doing math all the time, from the way we communicate with each other to the way we travel, from how we work to how we relax. Many of us are aware of this. But few of us really appreciate the full power of math - the extent to which its influence is not only in every office and every home, but also in every courtroom and hospital ward. In this eye-opening and extraordinary book, Kit Yates explores the true stories of life-changing events in which the application - or misapplication - of mathematics has played a critical role: patients crippled by faulty genes and entrepreneurs bankrupted by faulty algorithms; innocent victims of miscarriages of justice and the unwitting victims of software glitches. We follow stories of investors who have lost fortunes and parents who have lost children, all because of mathematical misunderstandings. Along the way, Yates arms us with simple mathematical rules and tools that can help us make better decisions in our increasingly quantitative society"-- Inga biblioteksbeskrivningar kunde hittas. |
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