Thinking in Bets: Decision-Making Strategies with Annie Duke

Added:

决策科学起源
决策障碍分析
回音室与动机推理
决策即下注
避免结果导向
决策小组策略
审视维持现状
构建求真社群
应用决策思维
量化概率思维

决策科学起源

0:00
Playing Section
  • 1

    从认知科学学术背景转向扑克职业生涯。

  • 2

    将扑克视为研究不确定条件下决策的天然实验室。

  • 3

    旨在将决策研究成果应用于现实生活。

Basic probability concepts, including expected value, odds, and the distinction between risk and uncertainty.
An introduction to cognitive biases, specifically outcome bias (judging a decision based solely on its result) and hindsight bias.
Fundamentals of decision theory, particularly how choices are made under conditions of incomplete information.
Elementary game theory principles, such as understanding strategic decision-making in competitive environments with hidden information.
Bayesian epistemology and updating, learning how to systematically adjust belief probabilities as new data becomes available.
Advanced forecasting methodologies, such as 'superforecasting' and calibrating subjective probability estimates.
Implementing structured decision-making tools in organizations, such as premortems, red teaming, and decision journals.
Behavioral economics frameworks, including Daniel Kahneman's System 1 and System 2 thinking and Prospect Theory.
189.5K views2.9Klikes1:23:43@talksatgoogleOriginal Release: 2018-06-21

Every decision should be explicitly framed as a bet with uncertain outcomes, which helps overcome cognitive biases like confirmation bias and self-serving bias by forcing probabilistic thinking and separating decision quality from outcomes; this approach involves deconstructing decisions before outcomes occur, seeking diverse perspectives, and using groups to hold each other accountable to accuracy rather than just being right.