The Tim Ferriss Show
The Tim Ferriss Show

#659: Michael Mauboussin — How Great Investors Make Decisions, Harnessing The Wisdom (vs. Madness) of Crowds, Lessons from Race Horses, and More

Brought to you by Athletic Greens’s AG1 all-in-one nutritional supplement, House of Macadamias delicious and nutritious nuts, and Shopify global commerce platform providing tools to start, grow, market, and manage a retail business. Michael Mauboussin (@mjmauboussin) is Head of Consilient Research o

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Tim Ferriss HostMichael Mauboussin Guest

Topics Discussed

Episode Summary

Executive Summary: Tim Ferriss and Michael Mauboussin explore better decision-making through first principles, base rates, cognitive diversity, complex adaptive systems, and the limits of experts and intuition. The conversation connects investing, biology, and psychology to show how markets and organizations work—and fail—when incentives, aggregation, or diversity break down.

Main Topics: First principles and intellectual humility (Priority: 5/5): Mauboussin explains his teaching mottos: question authority and prioritize underlying ideas over equations. He argues that beginner’s mind and first-principles thinking helped him succeed on Wall Street despite lacking formal business training. Consilience and cross-disciplinary thinking (Priority: 5/5): He defines consilience as the unification of knowledge across disciplines, inspired by E.O. Wilson and the Santa Fe Institute. This lens shaped his newsletter, books, and approach to markets as systems best understood through multiple fields. Wisdom of crowds, diversity, and aggregation (Priority: 5/5): The discussion covers jelly-bean experiments, the Galton ox-weight example, and why groups can outperform individuals when diversity, aggregation, and incentives are present. They distinguish social-category diversity from cognitive diversity, emphasizing the latter as most important. Base rates and probabilistic thinking (Priority: 5/5): Mauboussin argues that outside-view/base-rate thinking is one of the most valuable tools in decision-making. He uses the Big Brown Triple Crown example to show how ignoring historical reference classes leads to overconfident forecasts. Complex adaptive systems and markets (Priority: 4/5): Markets, economies, and ecosystems are framed as complex adaptive systems with emergent behavior. This explains why simple linear models often fail and why interventions can have unintended consequences. Investing, experts, and decision quality (Priority: 4/5): He distinguishes true expertise from mere experience and argues that great investors are defined more by decision quality than analytical tools. He also notes that algorithms and crowds often outperform experts in complex domains. Intuition, stress, and time horizon (Priority: 4/5): Intuition is presented as trained pattern recognition that works best in stable, linear domains. Mauboussin also links stress to shortened time horizons, explaining why investors under pressure often make worse long-term decisions.

Key Arguments: Questioning authority and focusing on first principles helps people avoid inherited but flawed rules of thumb. Accounting numbers can obscure economic reality; cash flow and value creation matter more than surface metrics. Valuation and strategy are inseparable: good strategy should create value, and valuation requires understanding competitive position. Crowds are wise only when diversity, aggregation, and incentives are present; otherwise they can become irrational. Cognitive diversity is more important than demographic diversity alone because different mental models improve problem-solving. Base rates/outside views usually outperform purely intuitive inside views for forecasting and planning. Markets are complex adaptive systems, so prices can be efficient much of the time yet still break down dramatically. True experts have predictive models that work; mere experience is not enough. Algorithms and structured methods can outperform human experts in many domains. Stress shortens time horizons, which can push investors toward short-term defensive behavior even when long-term opportunities improve. Intuition is valuable mainly when it has been trained in stable, rule-based environments. Great investors are distinguished by decision-making discipline, humility, and the ability to update beliefs. Premortems, red teaming, and counterfactual thinking expand the set of alternatives considered before decisions are made.

Data Points: House of Macadamias carbs vs almonds: 27% fewer grams of carbs - Promotional read describing macadamias as a lower-carb snack than almonds. House of Macadamias carbs vs cashews: more than 50% fewer grams of carbs - Promotional read comparing macadamias to cashews. House of Macadamias farmers: 94 independent farmers - The company’s South African supply chain and sourcing advantage. Shopify employees: 7,000+ - Tim Ferriss describes Shopify’s growth from a small team to a large global company. Shopify countries served: 175 countries - Scale of Shopify’s global customer base. Shopify total sales on platform: exceeding $400 billion - Cumulative sales processed through Shopify. AG1 ingredients: approximately 75 vitamins, minerals, and whole-food sourced ingredients - Sponsor description of AG1’s formula. Big Brown Belmont odds: 77% implied probability - Used to illustrate overconfidence versus base-rate thinking. Triple Crown historical success rate: 40% overall at the time - Base-rate comparison for horses in position to win the Triple Crown. Triple Crown success rate since 1950: 15% - Shows how historical context changes the forecast. Big Brown speed figure ranking: slowest of the last seven contenders - Additional evidence that the market’s 77% estimate was too optimistic. Jelly bean class accuracy: typically within 2% to 10% of the actual count - Mauboussin’s classroom demonstration of crowd wisdom. Individual guess error: about 50% off on average - A random individual guess is far less accurate than the group estimate. Public companies today: around 3,500 - Used to discuss the decline in the number of public companies. Public companies in the mid-1990s: about twice as many as today - Illustrates the long-term decline in public listings. Public companies in the 1970s: more than today - Further historical context for the shrinking public market. Credit Suisse / First Boston employees: 20,000 - Mauboussin references co-chairing a diversity advisory board for a large workforce. Santa Fe Institute founding year: 1984 - Historical origin of the interdisciplinary research center. Tim Ferriss audience size: 10 to 20 million people per month - Ferriss discusses the scale available for audience experiments. Tim Ferriss newsletter subscribers: between 1.5 and 2 million - Mentioned in the Five Bullet Friday promo.

Pivotal Quotes: "nullius in verba" — Michael Mauboussin: Explaining his course motto: take nobody’s word for it; see for yourself. "beliefs are hypotheses to be tested, not treasures to be protected" — Michael Mauboussin: A quote he says would work well on a billboard, capturing his approach to learning and updating beliefs. "analysts who know the most about a situation have the most to unlearn when the world changes" — Michael Mauboussin: He cites this idea to explain why expertise can become a liability when conditions shift.

Implications: Listeners should think more probabilistically, use base rates, seek cognitive diversity, and treat beliefs as provisional. For investors and leaders, the biggest edge comes from better decision processes—not just more data or confidence.

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About The Tim Ferriss Show

Tim Ferriss is a self-experimenter and bestselling author, best known for The 4-Hour Workweek. In this show, he deconstructs world-class performers from eclectic areas (investing, sports, business, art, etc.) to extract the tactics, tools, and routines you can use.

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