Annie Duke, a former top poker player and bestselling author, offers a unique perspective on decision-making, particularly when to quit. The podcast delves into the complexities of quitting, the cognitive biases that prevent people from stopping, and strategies for making better decisions.
Duke highlights the cultural bias against quitting, reinforced by phrases like "quitters never win." However, she argues that failure isn't simply about stopping; it's about clinging to things that are no longer worthwhile or stopping something that is still worthwhile simply because it is difficult. She introduces cognitive biases like the sunk cost fallacy, where people consider past investments (time, money, effort) when deciding whether to continue, hindering their ability to evaluate future prospects objectively. Ideally, one should only continue if willing to start fresh today, irrespective of past costs.
Duke emphasizes expected value, the weighted average of probabilities and payoffs, as a critical decision-making tool. She illustrates how expected value is subjective, tied to individual goals and values. Something of positive expected value for one might be negative for another. She uses the example of climbing Mount Everest, discussing that a person should stop climbing when the probability of death and severe injury is higher than your intention at the beginning of the climb.
To combat these biases, Duke introduces the concept of "kill criteria." Planning for quitting involves identifying future signals that indicate a need to stop and committing to specific actions upon seeing those signals. An example is setting a turnaround time while mountaineering, regardless of how close one is to the summit, to avoid dangerous conditions. It helps prevent rationalization and "thesis creep," where people alter their initial reasons to justify continuing.
Duke also tackles the "resulting" or "outcome bias," where the quality of a decision is judged solely by its outcome. Good results overshadow bad decisions and vice-versa, hindering learning. She gives the example of Pete Caroll, who made what was likely the better decision, statistically, but still lost. For evaluating a decision, one should consider best expected value decision over time.
Regarding intuition, Duke acknowledges its potential accuracy but stresses the difficulty in identifying errors without making the underlying assumptions explicit. She advocates for making models explicit and judging decisions based on those models. This process involves identifying the qualities that define a "good" investment or decision. By making those qualities explicit, it reduces noise, bias, and helps improve team performance by allowing team members to learn faster.
Duke underscores the importance of independent judgment collection in group settings. She advocates using the ‘nominal group’ framework, where individuals formulate their opinions independently before group discussions. This prevents initial opinions from influencing others and allows for more open and honest expression of diverse perspectives.
When seeking advice, Duke emphasizes the importance of eliciting unbiased opinions by withholding one's own viewpoint and the outcome of past decisions. This ensures that advisors provide their true assessment without being influenced by resulting bias and prevents initial opinions from influencing others.
Drawing from her poker experience, Duke emphasizes the detrimental role of luck. While luck is present in every situation, it should not dictate future decision-making. Focus on good decisions, don't focus on the outcome of those decisions. The biggest lesson from poker is avoiding the human need for a positive self-narrative, which often leads to rationalizing losses.
Duke recalls an encounter with Bill Gates where they discussed bluffing. She explains bluffing isn't necessarily about deception but about creating uncertainty to maximize long-term earnings. She emphasizes adapting bluffing strategies based on the play styles of opponents, and how different environments will affect how a person should or should not bluff.
On gender differences in risk-taking, Duke acknowledges that, on average, men tend to be more risk-seeking than women. She advocates for diverse teams to benefit from varied perspectives. She also acknowledges she does not know how to solve the lack of women in risk taking positions. She thought in the past, that by representing, the issue would resolve itself, but has not found that to be the case.
Duke's interest in decision-making emerged during her cognitive science PhD program, particularly when studying learning under uncertainty. Later, her poker experience provided a real-world laboratory for exploring decision-making challenges.
Currently, Duke is curious about misinformation and disinformation, not from the perspective of people lying, but from the need to understand how to model true data points to arrive at a sound decision. She gives the example of vaccinations and that more vaccinated people were dying of COVID than unvaccinated, despite that over 80% of the population at the time was vaccinated.
In advising young people, Duke emphasizes the importance of accepting luck while focusing on improving the quality of one's decisions. Over time, better decisions accumulate, changing the trajectory of one's life and contributing to a better society.