Improve your decision-making, frameworks for learning, backcasting, and more | Annie Duke

Peter Attia

Sep 2, 2024

Episode description

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In this episode, former World Series of Poker champion and author Annie Duke explains how poker is a pertinent model system for decision-making in the real world, a system which blends imperfect information with some unknown percentage of both luck and skill. Annie breaks down the decision-making matrix, revealing how we often focus too narrowly on just one of the four quadrants, missing out on valuable learning opportunities in the remaining 75% of situations. She delves into how our tendency to evaluate only negative outcomes leads to a culture of risk aversion. This mindset, she argues, stifles the kind of bold decision-making necessary for progress and innovation across various fields, from poker and sports to business and medicine. Annie also introduces a robust framework for learning and the levels of thought required to excel in any domain. Finally, she discusses a strategy called “backcasting”, a concept that resonated deeply with Peter in terms of how he thinks about extending healthspan.

We discuss:

  • Annie’s background, favorite sports teams, and Peter’s affinity for Bill Belichick [1:30];

  • Chess vs. poker: Which is a better metaphor for decision-making in life (and medicine)? [6:45];

  • Thinking probabilistically: Why we aren’t wired that way, and how you can improve it for better decision-making [12:30];

  • Variable reinforcement: The psychological draw of poker that keeps people playing [19:15];

  • The role of luck and skill in poker (and other sports), and the difference between looking at the short run vs. long run [32:15];

  • A brief explanation of Texas hold ‘em [41:00];

  • The added complexity of reading the behavior of others players in poker [47:30];

  • Why Annie likes to “quit fast,” and why poker is still popular despite the power of loss aversion [52:45];

  • Limit vs. no-limit poker, and how the game has changed with growing popularity [55:15];

  • The advent of analytics to poker, and why Annie would get crushed against today’s professionals [1:04:45];

  • The decision matrix, and the “resulting” heuristic: The simplifier we use to judge the quality of decisions —The Pete Carroll Superbowl play call example [1:10:30];

  • The personal and societal consequences of avoiding

Episode description

View the Show Notes Page for This Episode

Become a Member to Receive Exclusive Content

Sign Up to Receive Peter’s Weekly Newsletter

In this episode, former World Series of Poker champion and author Annie Duke explains how poker is a pertinent model system for decision-making in the real world, a system which blends imperfect information with some unknown percentage of both luck and skill. Annie breaks down the decision-making matrix, revealing how we often focus too narrowly on just one of the four quadrants, missing out on valuable learning opportunities in the remaining 75% of situations. She delves into how our tendency to evaluate only negative outcomes leads to a culture of risk aversion. This mindset, she argues, stifles the kind of bold decision-making necessary for progress and innovation across various fields, from poker and sports to business and medicine. Annie also introduces a robust framework for learning and the levels of thought required to excel in any domain. Finally, she discusses a strategy called “backcasting”, a concept that resonated deeply with Peter in terms of how he thinks about extending healthspan.

We discuss:

  • Annie’s background, favorite sports teams, and Peter’s affinity for Bill Belichick [1:30];

  • Chess vs. poker: Which is a better metaphor for decision-making in life (and medicine)? [6:45];

  • Thinking probabilistically: Why we aren’t wired that way, and how you can improve it for better decision-making [12:30];

  • Variable reinforcement: The psychological draw of poker that keeps people playing [19:15];

  • The role of luck and skill in poker (and other sports), and the difference between looking at the short run vs. long run [32:15];

  • A brief explanation of Texas hold ‘em [41:00];

  • The added complexity of reading the behavior of others players in poker [47:30];

  • Why Annie likes to “quit fast,” and why poker is still popular despite the power of loss aversion [52:45];

  • Limit vs. no-limit poker, and how the game has changed with growing popularity [55:15];

  • The advent of analytics to poker, and why Annie would get crushed against today’s professionals [1:04:45];

  • The decision matrix, and the “resulting” heuristic: The simplifier we use to judge the quality of decisions —The Pete Carroll Superbowl play call example [1:10:30];

  • The personal and societal consequences of avoiding

Mindsip insights from this episode:

Backcast your centenarian olympics to shape your fitness plan today

To prepare for old age, define the physical tasks you want to perform at 100—your "Centenarian Olympics"—and work backward to create your fitness plan for today.

Utilize poker as a model for real-world decision-making

Poker is a better model for real-world decisions than chess because it involves incomplete information and a strong influence of luck.

Determine skill through intentional loss in activities

A simple test to determine if an activity involves skill is to ask if you can intentionally lose on purpose while still following the rules.

Quit negative-value activities to seize better opportunities

We should be encouraged to quit things with a negative expected value quickly, as sticking with them has a huge opportunity cost.

Analyze wins to avoid dangerous learning traps

The most dangerous learning trap is getting a good outcome from a bad decision, because we rarely analyze our wins, which reinforces poor processes.

Shift focus from bad outcomes to learning from unexpected successes

By only analyzing bad outcomes, like in medical morbidity conferences, we reinforce risk aversion and miss the learning opportunities from unexpected successes.

Analyze successful outcomes for improved decision-making processes

The highest level of decision-making involves analyzing even your successful outcomes to see if there was a better process you could have used.

Conduct pre-mortems to anticipate bad luck in projects

The exercise of a "pre-mortem," where you imagine a project has failed, forces you to consider the role of bad luck and plan for it.

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