UPSC MainsPSYCHOLOGY-PAPER-I201810 Marks150 Words
हिंदी में पढ़ें
Q15.

Explain the use of availability heuristic and representativeness heuristic in problem solving with the help of research studies.

How to Approach

This question requires a demonstration of understanding of cognitive heuristics and their application in problem-solving. The answer should define both availability and representativeness heuristics, explain how they function, and illustrate their use with relevant research studies. A structured approach involving definitions, explanations, research examples, and potential biases is recommended. Focus on clarity and conciseness within the word limit.

Model Answer

0 min read

Introduction

Human cognition often relies on mental shortcuts, known as heuristics, to simplify complex decision-making processes. These heuristics, while generally efficient, can lead to systematic errors in judgment. Two prominent heuristics are the availability heuristic and the representativeness heuristic. The availability heuristic involves estimating the likelihood of events based on their readily available memories, while the representativeness heuristic judges the probability of an event based on how similar it is to a prototype or stereotype. Understanding these heuristics is crucial for comprehending biases in problem-solving and decision-making.

Availability Heuristic

The availability heuristic operates on the principle that instances with greater ease of recall are judged as more frequent or probable. This is often due to vividness, recency, or emotional impact.

  • Mechanism: If examples of an event come to mind easily, we overestimate its likelihood.
  • Research Example: Tversky and Kahneman (1973) asked participants to estimate whether more words started with the letter ‘K’ or had ‘K’ as the third letter. Participants consistently overestimated the number of words starting with ‘K’ because words beginning with ‘K’ are more readily recalled.
  • Bias: This can lead to overestimation of risks associated with dramatic events (e.g., plane crashes) compared to less publicized but statistically more frequent risks (e.g., car accidents).

Representativeness Heuristic

The representativeness heuristic involves evaluating the probability of an event by assessing its similarity to a prototype or stereotype. This often leads to ignoring base rate information.

  • Mechanism: We judge the probability of an event based on how well it ‘represents’ a particular category.
  • Research Example: Kahneman and Tversky (1973) presented participants with profiles of individuals and asked them to judge whether they were more likely to be a librarian or a farmer. Profiles described individuals as quiet, bookish, and organized. Participants consistently judged these individuals as more likely to be librarians, even though there are far more farmers than librarians in the population (base rate neglect).
  • Bias: This can lead to stereotyping and inaccurate predictions, particularly when base rate information is available.

Comparison of the Heuristics

Heuristic Basis of Judgment Potential Bias Example
Availability Ease of recall Overestimation of vivid/recent events Fearing flying more than driving
Representativeness Similarity to prototype Base rate neglect, stereotyping Assuming a quiet person is a librarian

Application in Problem Solving

Both heuristics play a role in everyday problem-solving. For instance, in medical diagnosis, doctors might rely on the availability heuristic if they recently encountered a patient with a rare disease, leading them to overestimate its prevalence. Similarly, the representativeness heuristic might lead a detective to focus on suspects who fit a particular profile, potentially overlooking other viable leads.

Conclusion

In conclusion, the availability and representativeness heuristics are fundamental cognitive shortcuts that significantly influence problem-solving and decision-making. While these heuristics offer efficiency, they are prone to systematic biases, such as base rate neglect and overestimation of vivid events. Recognizing these biases is crucial for improving judgment and making more rational decisions in various contexts. Further research continues to explore the interplay between these heuristics and their impact on human cognition.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

Heuristic
A mental shortcut that allows people to solve problems and make judgments quickly and efficiently, though may lead to errors.
Base Rate Information
The prior probability of an event occurring, often ignored when using the representativeness heuristic.

Key Statistics

Studies suggest that approximately 90% of human decisions are made using heuristics, rather than through deliberate, analytical thought.

Source: Kahneman, D. (2011). Thinking, Fast and Slow.

Research indicates that individuals are more likely to overestimate the probability of rare events that receive extensive media coverage, such as shark attacks, compared to common events like heart disease.

Source: Slovic, P. (1987). Perception of Risk.

Examples

Gambler's Fallacy

The gambler's fallacy, a manifestation of the representativeness heuristic, is the belief that if something happens more frequently than normal during some period, it will happen less frequently in the future (or vice versa). For example, believing that after a series of coin flips landing on heads, the next flip is more likely to be tails.

Frequently Asked Questions

Can heuristics be overcome?

While heuristics are largely automatic, awareness of their potential biases can help mitigate their negative effects. Techniques like considering base rates, seeking diverse perspectives, and employing structured decision-making processes can improve judgment.

Topics Covered

PsychologyCognitive PsychologyCognitive BiasesProblem SolvingHeuristics