Asimov's Psychohistory. Predicting the Future Using Math. The Foundation Trilogy. Wikipedia. NOVA TV Show - We Have People With Computers Gambling on the Stock Market Right Now!

The Plot of the Foundation Trilogy is Based on Psychohistory. Hari Seldon Predicted the Collapse of the Galactic Empire. His Plan was to Collect all Knowledge in an Encyclopedia So That Humanity Could Easily Rebuild Society. IMHO: Wikipedia is That Encyclopedia. First, There are the Articles in Wiki that Explain Every Topic, Simply ... and Then at the Bottom of the Page are Links for The SOURCE Material That the Article Was Based Upon. Magazine Articles, Scientific Journals, Books, Websites and The Location (URL) of Every Other Original Content on the Internet. 

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Weather? They are Pretty Accurate about Predicting the Weather for about a Week... Beyond That? Not So Good. General Trends Like Global Warming and Climate Change are... Turning Out To Be Accurate... OH NO! Massive Forest Fires Coming This Summer (2021) in the Western USA... 

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I was Employed by Radio Shack Predicting What People Will Buy In Six Months... The Answer was Look at What was Being Bought by Japanese Schoolgirls. High School Students in Japan are Out In Front of The USA as Far as Purchasing Electronic Equipment. 

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Polls Predicted Hillary Clinton Would Beat Donald Trump in 2016 Presidential Election. OOPS... MONEYBALL Used Math to Help the Oakland A's Win at Baseball...  

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Psychohistory is a fictional science in Isaac Asimov's Foundation universe which combines history, sociology, and mathematical statistics to make general predictions about the future behavior of very large groups of people, such as the Galactic Empire. It was first introduced in the four short stories (1942–1944) which would later be collected as the 1951 novel Foundation.

https://en.wikipedia.org/wiki/Psychohistory_(fictional)

Asimov Foundation book covers


NOVA: Prediction By The Numbers:

https://www.pbs.org/wgbh/nova/video/prediction-by-the-numbers/

Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and “big data,” the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty?

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