
This learning plan bridges the gap between knowing what to do with money and actually doing it by addressing the psychological roots of financial behavior. It's ideal for anyone who has struggled with money decisions despite understanding basic financial principles, professionals seeking to improve their financial outcomes, and individuals curious about why they repeat the same financial patterns. Whether you're an investor, saver, or simply want to make smarter money choices, understanding the psychology behind your decisions is the key to lasting financial transformation.
This plan was crafted by BeFreed’s proprietary AI to help you learn Money, psychology and human behavior with ease. It is curated from in-depth research on the topic and structured around the most effective learning journeys proven by BeFreed users.
Each episode delivers bite-sized, high-impact lessons distilled from world-class sources — bestselling books, research papers, and expert insights. Together, they form a sophisticated yet accessible path to mastering Money, psychology and human behavior.
Discover the fundamental psychological forces that drive your financial decisions and learn why smart people often make irrational choices with money.
Explore the systematic errors and mental shortcuts that lead to poor money decisions, from overconfidence to loss aversion, and learn how behavioral economics explains our irrational patterns.





Discover how your brain's automatic shortcuts secretly influence every decision you make. Drawing from Daniel Kahneman's 'Thinking, Fast and Slow,' Julia Galef's 'Scout Mindset,' and Thaler & Sunstein's 'Nudge,' learn practical tools to recognize and outsmart these mental patterns in work and life.
Move beyond understanding into practical application by rewiring deep-seated money beliefs and building systems that work with your psychology, not against it.




Master sophisticated strategies for overcoming investment biases, applying nudge theory to automate smart choices, and building wealth through psychology-driven systems.

From Columbia University alumni built in San Francisco
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From Columbia University alumni built in San Francisco
