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|Tipo de documento:||Libro/Texto|
|Todos autores / colaboradores:||
|ISBN:||9781594204111 159420411X 9780143124009 0143124005 9780143125082 0143125087|
|Descripción:||534 p. : ill. ; 25 cm.|
|Contenido:||A catastrophic failure of prediction --
Are you smarter than a television pundit? --
All I care about is W's and L's --
For years you've been telling us that rain is green --
Desperately seeking signal --
How to drown in three feet of water --
Role models --
Less and less and less wrong --
Rage against the machines --
The poker bubble --
If you can't beat 'em--
A climate of healthy skepticism --
What you don't know can hurt you.
Human beings have to make plans and strategize for the future. As the pace of our lives becomes faster and faster, we have to do so more often and more quickly. But are our predictions any good? Is there hope for improvement? In this book the author examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy, ever-increasing data. Many predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. We are wired to detect a signal, and we mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the prediction paradox: the more humility we have about our ability to make predictions, and the more we are willing to learn from our mistakes, the more we can turn information into knowledge and data into foresight. The author examines both successes and failures to determine what more accurate forecasters have in common. In keeping with his own aim to seek truth from data, he visits innovative forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. Even when their innovations are modest, we can learn from their methods. How can we train ourselves to think probabilistically, as they do? How can the insights of an eighteenth-century Englishman unlock the twenty-first-century challenges of global warming and terrorism? How can being smarter about the future help us make better decisions in the present?
Reseñas de usuarios de WorldCat (1)
Forecasters, how to be less wrong with Bayes
Silver has the knack for turning to a good story to illustrate his points, so the book is entertaining as it guides the reader to some profound points about predicting the future. The ideas and the delivery are both solid and well done.
Nate Silver's basic thesis is that,...
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- Forecasting -- Methodology.
- Forecasting -- History.
- Bayesian statistical decision theory.
- Knowledge, Theory of.
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