Summary of The Future of Everything

The Science of Prediction

Basic Books,
First Edition: 2007 more...

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The Future of Everything
Can experts forecast the future in science, medicine and economics? An intriguing take on the limits of prediction.

Rating

9 Overall

8 Applicability

9 Innovation

8 Style

 

Review

This book is a fascinating, very readable look at the accuracy of modern forecasting. David Orrell begins with an overview of the history of telling the future, including humanity’s inherent need to try to decipher what tomorrow holds. He covers the current state of forecasting in fascinating detail, dwelling on weather and climate, economics and medicine. He points out the shortcomings in experts’ current ability – or lack thereof – to predict the future accurately in any of these realms. Finally, he discusses the future of forecasting, and makes a case for using the limited models available to become better prepared for future events, particularly climate-related ones, even those that are impossible to forecast with precision. The fiscal and commercial relevance of his advice is startlingly clear in light of recent natural disasters. getAbstract highly recommends this well-structured overview of forecasting and the author’s cautionary message that the planet’s health will govern much of what lies ahead.

In this summary, you will learn

  • How forecasting evolved, from the ancient Greeks to modern methods
  • What limitations affect forecasting in weather, medicine and economics
  • Why those realms are interconnected
  • Why ecological concerns are likely to govern the future
 

Summary

Is Forecasting an Exact Science?
In many ways, people in today’s media-focused societies take modern forecasting for granted. When it comes to weather, for instance, the public assumes modern forecasting has made vast improvements, and that meteorologists have complex mathematical models...
Get the key points from this book in less than 10 minutes.

About the Author

David Orrell, Ph.D., received his doctorate in mathematics from the University of Oxford. His work on the prediction of complex systems has been featured in numerous publications and on radio in the U.S. and the United Kingdom.


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