Signal and noise. Why do some predictions come true and others not?
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We believe that our world is largely logical and predictable, and therefore we make forecasts, calculate the likelihood of earthquakes, epidemics, economic crises, and try to guess the results of trading on the stock exchange and sports matches. In this vast ocean of data, it is important to be able to correctly recognize a real signal and not be distracted by useless information noise. Nate Silver, a political visionary and statistical guru, who developed a forecasting system that made it possible to predict the results of the presidential election twice as accurately as possible twice, talks about how to learn this. all states of America. His book is in many ways close to the research of Nassim Taleb and is equally significant for anyone who deals with large volumes of data and calculates various scenarios. And if Taleb talks about the laws of the birth of “black swans,” Silver explores models and methods that allow us to catch these birds in the nets we set. He summarizes the experience of expert practitioners, studies various models and approaches that allow making more accurate forecasts. Like Daniel Kahneman, author of the best-selling book “Thinking Slowly... Decide Fast”, observing the behavior and thinking of people assessing uncertain events, Silver argues: yes, computers are indispensable when working with huge amounts of data, but for maximum accuracy of results, a flexible human mind and experience, because forecasting is planning under conditions of uncertainty.
Data sheet
- Name of the Author
- Нейт Сильвер
- Language
- Russian
- Translator
- Павел Валерьевич Миронов