Game theory and some math of financial markets w/ Noah Healy (#002)
For the Curious and Confused · Don McTaggart
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Show Notes
Noah Healy is a professional algorithm developer and self-proclaimed recreational mathematician. Noah’s interests focus on unpacking what game theory and information theory can teach us about financial systems, and what outcomes result when these theoretical frameworks overlap with the legal system. He has pioneered a patent-pending system aimed at addressing limitations in traditional commodity markets and increasing widespread economic potential.
Episode chapters:
(0:00) - Noah’s Background & Motivation
(3:08) - How Noah Experiences Math
(7:16) - High-Dimensional Computation & Complexity
(12:03) - Basics of Game Theory & Information Theory
(20:00) - Modern Financial Systems and Their Limitations
(28:40) - Flash Crashes, Noise, and Structural Failures
(36:00) - Proposed Market Redesign: Producer, Consumer, and Forecaster
(47:52) - Patent Process and Legal Challenges
(1:04:46) - Systemic Failures and Integrating New Knowledge
(1:11:04) - Closing Thoughts and Hope for the Future