Notes on Cognitive Biases and Heuristics

Page 1

  • Introductory remark highlights the tendency to oversimplify complex ideas, suggesting a need for deeper understanding.

Page 2

  • Discussion Questions:
    • Is there such a phenomenon as "the hot hand" in basketball?
    • Identify non-sporting examples of the "hot hand" phenomenon.
    • Considerations on the depiction of individuals by social cognition researchers.

Page 3

  • Types of Simplification Strategies:
    1. Dispositional Inference Biases
    2. Confirmatory Biases
    3. Cognitive Heuristics

Page 4

  • Cognitive Heuristic:
    • Defined as a mental shortcut that simplifies decision-making.
    • Can be adaptive but may lead to mistakes if relied upon too heavily.

Page 5

  • Common Cognitive Heuristics:
    1. Anchoring and Adjustment Heuristic
    2. Representativeness Heuristic
    3. Availability Heuristic
    4. Straightness Heuristic

Page 6

  • Introduction of the Mississippi River question, setting up a practical example of cognitive heuristics.

Page 7

  • Mississippi River Query:
    • Is the Mississippi River longer than 500 miles?
    • Reflection on Actual Length.

Page 8

  • Continued emphasis on estimation related to the Mississippi River question.

Page 9

  • Another Mississippi Query:
    • Is the Mississippi River longer than 5,000 miles?
    • Actual length consideration.

Page 10

  • Introduction of a math-related query for estimative problem-solving.

Page 11

  • Math Challenge:
    • Estimate the product: 1imes2imes3imes4imes5imes6imes7imes81 imes 2 imes 3 imes 4 imes 5 imes 6 imes 7 imes 8

Page 12

  • Continuation of math challenges aimed at enhancing estimation skills.

Page 13

  • Another Math Challenge:
    • Estimate the product: 8imes7imes6imes5imes4imes3imes2imes18 imes 7 imes 6 imes 5 imes 4 imes 3 imes 2 imes 1

Page 15

  • Anchoring and Adjustment Heuristic:
    • Process explanation: starts with an initial estimate and adjusts accordingly, exemplified in various contexts.

Page 17

  • Linda Problem:
    • Depicts a scenario to rank perceived likelihood regarding Linda’s profession based on given descriptions.

Page 19

  • Representativeness Heuristic:
    • A strategy of assessing likelihood based on prototypes rather than statistical thinking.

Page 20

  • Conjunction Error:
    • Mistaken belief that two events together are more likely than either event individually; an example of representativeness heuristic.

Page 21

  • Coin Flip Scenario:
    • Illustration contrasting likelihoods with sequences of heads and tails.

Page 22

  • Gambler’s Fallacy:
    • A belief where individuals think the occurrence of a random event influences future occurrences.

Page 24

  • Hot Hand Phenomena:
    • Common belief in sports, particularly basketball, that consecutive successes increase likelihood of further success.

Page 25

  • Study by Larkey et al., 1989:
    • Analysis of famous players like K. Abdul Jabbar and Michael Jordan; findings suggest the hot hand effect isn't statistically present overall.

Page 27

  • Causes of Death (Statistical Overview):
    • Analysis of leading causes of death, detailing top and bottom categories.

Page 28

  • Statistical Breakdown of Causes of Death in 2002:
    • Percentages and ranks given for various causes, highlighting significant health issues like heart disease and cancer.

Page 29

  • Language Example Comparison:
    • Evaluating word frequency issues; how many start with “r” versus having “r” as the third letter.

Page 30

  • Availability Heuristic:
    • Concept where people estimate probabilities based on how readily examples come to mind.

Page 31

  • Example of the availability heuristic, referencing media coverage of rare events.

Page 33

  • False Consensus Effect:
    • Explanation of the tendency to overestimate others’ agreement with personal beliefs.

Page 35

  • Geography Questions:
    • Tests knowledge on U.S. city geography.

Page 37

  • Straightness Heuristic:
    • Cognitive tendency to misrepresent complexities in order to create a simpler, cleaner perspective.

Page 40

  • Bottom Line on Heuristics:
    • Adaptive nature of heuristics in cognitive processes, speed versus accuracy trade-off, and importance of recognizing errors to improve judgments.