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Kahneman Unit 2 Glossary

  1. Availability Cascade
    A self-reinforcing process in which a minor event or belief gains more plausibility through repetition.

  2. Probability Neglect
    When an individual perceives the likelihood of a rare event to be more plausible and frequent than actuality.

  3. Base Rate
    Relative frequency or quantity of events or things required for judgment and decision making.

  4. Representativeness Heuristic
    Decision-making heuristic wherein one ignores the base rate and makes a decision based upon fit with prior stereotypes, schemas, or expectations.

  5. Logic of Probability
    Using the probability of an event happening, or being true, in judgments and decisions.

  6. Conjunction Fallacy
    The incorrect assumption that two events are more likely to occur in conjunction with one another than one simple event is.

  7. Bayes's Rule
    Determining the probability of an event based on prior knowledge of the conditions.

  8. Causal Base Rates
    Specific information related to an individual case that is often stereotyped, and can affect decisions.

  9. Statistical Base Rates
    Facts about a population that provide information about the general category, but aren't relevant to the individual case.

  10. Stereotypes
    An over-generalized and/or discriminatory belief about a particular category of people.

  11. Regression to the Mean
    The phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on its second measurement.

  12. Correlation Coefficient
    The statistical correlation between two variables, ranging from -1 (strong negative correlation) to +1 (strong positive correlation).

  13. Intuitive Prediction
    Non-regressive prediction that uses heuristics to substitute an easier question for whatever harder question was asked.

  14. Baseline Prediction
    A prediction made without knowing anything about the situation one is being asked to predict.

  15. Narrative Fallacy
    The tendency to create links between unrelated events; the tendency to create a story of events.

  16. Pernicious Illusion
    The illusion that we understand the past, which implies that we know the future, even though we don't understand the past as well as we believe.

  17. Hindsight Bias
    The difficulty to reconstruct past beliefs, resulting in underestimating the extent to which one was surprised by an event; also known as the "I-knew-it-all-along" effect.

  18. Illusion of Validity
    Cognitive bias in which a person overestimates their ability to predict an unrelated outcome from a particular set of data.

  19. Low-Validity Environments
    Any domain with a significant degree of uncertainty or unpredictability.

  20. Broken-Leg Rule
    As long as the environment and circumstances are consistent, it's ideal to use an algorithm to determine probability. Disruption of that consistency makes it better to use experts instead.

  21. Recognition-Primed Decision (RPD) Model
    A decision-making process using associative memory to devise a rough plan (system 1), followed by mentally simulating the plan to ensure effectiveness (system 2).

  22. Planning Fallacy
    A phenomenon where predictions about how much time will be needed to complete a future task display an optimism bias and underestimate risks and required time.

Kahneman Unit 2 Glossary

  1. Availability Cascade
    A self-reinforcing process in which a minor event or belief gains more plausibility through repetition.

  2. Probability Neglect
    When an individual perceives the likelihood of a rare event to be more plausible and frequent than actuality.

  3. Base Rate
    Relative frequency or quantity of events or things required for judgment and decision making.

  4. Representativeness Heuristic
    Decision-making heuristic wherein one ignores the base rate and makes a decision based upon fit with prior stereotypes, schemas, or expectations.

  5. Logic of Probability
    Using the probability of an event happening, or being true, in judgments and decisions.

  6. Conjunction Fallacy
    The incorrect assumption that two events are more likely to occur in conjunction with one another than one simple event is.

  7. Bayes's Rule
    Determining the probability of an event based on prior knowledge of the conditions.

  8. Causal Base Rates
    Specific information related to an individual case that is often stereotyped, and can affect decisions.

  9. Statistical Base Rates
    Facts about a population that provide information about the general category, but aren't relevant to the individual case.

  10. Stereotypes
    An over-generalized and/or discriminatory belief about a particular category of people.

  11. Regression to the Mean
    The phenomenon that if a variable is extreme on its first measurement, it will tend to be closer to the average on its second measurement.

  12. Correlation Coefficient
    The statistical correlation between two variables, ranging from -1 (strong negative correlation) to +1 (strong positive correlation).

  13. Intuitive Prediction
    Non-regressive prediction that uses heuristics to substitute an easier question for whatever harder question was asked.

  14. Baseline Prediction
    A prediction made without knowing anything about the situation one is being asked to predict.

  15. Narrative Fallacy
    The tendency to create links between unrelated events; the tendency to create a story of events.

  16. Pernicious Illusion
    The illusion that we understand the past, which implies that we know the future, even though we don't understand the past as well as we believe.

  17. Hindsight Bias
    The difficulty to reconstruct past beliefs, resulting in underestimating the extent to which one was surprised by an event; also known as the "I-knew-it-all-along" effect.

  18. Illusion of Validity
    Cognitive bias in which a person overestimates their ability to predict an unrelated outcome from a particular set of data.

  19. Low-Validity Environments
    Any domain with a significant degree of uncertainty or unpredictability.

  20. Broken-Leg Rule
    As long as the environment and circumstances are consistent, it's ideal to use an algorithm to determine probability. Disruption of that consistency makes it better to use experts instead.

  21. Recognition-Primed Decision (RPD) Model
    A decision-making process using associative memory to devise a rough plan (system 1), followed by mentally simulating the plan to ensure effectiveness (system 2).

  22. Planning Fallacy
    A phenomenon where predictions about how much time will be needed to complete a future task display an optimism bias and underestimate risks and required time.

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