Podcasts Business Investing Hidden Forces Jim Rickards | Can Complexity Science, Bayesian Inference Theory, and History Help Predict the Next Financial Crisis?

Jim Rickards | Can Complexity Science, Bayesian Inference Theory, and History Help Predict the Next Financial Crisis?

Published: March 6, 2017, 6 a.m.

In Episode 2 of Hidden Forces, host Demetri Kofinas speaks with New York Times bestselling author and financial commentator, Jim Rickards. Jim is the author of multiple New York Times bestsellers including\xa0The Death of Money,\xa0Currency Wars, and\xa0The New Case For Gold. His latest book is\xa0The Road To Ruin: The Global Elites' Secret Plan for the Next Financial Crisis.\xa0He is the editor of the Strategic Intelligence newsletter and a member of the advisory board of the Center for Financial Economics at Johns Hopkins. He's an adviser to the Department of Defense and the U.S. intelligence community on international economics and financial threats and served as a facilitator of the first-ever financial war games conducted by the Pentagon.

Jim and Demetri explore financial history stretching back to some of the earliest economic philosophers. They recall the deregulation of US financial system from the time of Bretton Woods, through the financial panics in Asia in the late 1990s to the Financial Crisis of 2008. Jim Rickards address one of the economics professions' greatest weaknesses, namely, the desperate need for better modeling. What can complexity theory, Bayesian analysis, and behavioral psychology tell us about our world? How can these theories help improve or replace our broken models? The two end with projections about the future. Jim gives his rationale for why he believes the next crisis will be larger and could run deeper than what any of us might imagine.\xa0

Producer & Host:\xa0Demetri Kofinas

Editor: Connor Lynch

Engineering: Ignacio Lecumberri

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