Representative Heuristics

Article byKhalid Ahmed
Reviewed byDheeraj Vaidya, CFA, FRM

What Is Representative Heuristics?

Representative heuristics is a shortcut in which one reaches a decision based on past experience or on the similarity of the event with a preconceived notion. In this, one reaches a decision or conclusion quickly without analyzing the available factual information.

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A representative heuristic can often lead to incorrect or biased decisions which lack the judgment skills of a person. Some representative heuristics examples include basing an investment decision on the historical returns of a stock, assuming a person wearing glasses to be an engineer, concluding that product X has good quality if it is costly, and so on.

Key Takeaways

  • Representative heuristic involves making decisions based on past experiences or typical examples. The similarity between an event and its outcomes forms the basis of decisions.
  • A decision based on representative heuristics is quick though it can be misleading and flawed.
  • In the availability heuristic, decisions are based on events that took place recently. The more one is impacted by an event, the easier it is to recall it, and the higher the chances of basing decisions on it.
  • A representative heuristic can be overcome by becoming aware of its usage, making judgments backed by data, bringing in a fresh perspective, and changing with the feedback obtained.

Representative Heuristics Explained

The representative heuristic is also called the representativeness heuristic. The representative heuristics psychology was formulated and explained by Daniel Kahneman and Amos Tversky in the 1970s. Their book “Judgment under Uncertainty: Heuristics and Biases” discusses the decisions based on representative heuristics and the way they can be improved.

Representative Heuristics

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A decision based on the representative heuristic relies on prototypes, stereotypes or preconceived notions. Precisely, the decision-maker identifies a pattern or similarity in the happening of an event and its outcome.

The concept of representative heuristic works in the following way:

  1. A person, P, believes that whenever event B occurs, its outcome is D. This is because event B is similar to the group of events that have happened in the past.
  2. The next time event B occurs, P jumps to the conclusion that the outcome will be D. So, P bases his decision on outcome D.

Due to the representative heuristic, P thinks that the event B is a typical case of D. While making a decision, P ignores that event B could occur because of several logical factors and can have different outcomes other than D. Consequently, P makes a wrong decision based on just one aspect, that is, his past impression of a similar event.

The decisions may be based on a representative heuristic for the following reasons:

Therefore, decisions based on the representative heuristic are often biased, flawed, and lack logical reasoning. This is because, in representative heuristics, a person compares an event with a pre-defined mental representation and then acts accordingly.

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Examples

Let us consider a few examples to understand the concept of representative heuristics.

Example #1

The security, S, of a company has not been performing well in the last four years. However, after the lockdown was over, the company entered a new international market where its services were in high demand.

The inferences are stated as follows:

Example #2

A bank, R, is operating successfully in several countries, due to which its shares are performing fairly well. However, in the preceding month, a major corporate customer defaulted on a huge loanLoanA loan is a vehicle for credit in which a lender will give a sum of money to a borrower or borrowing entity in exchange for future repayment.read more as it experienced losses in the business.

The inferences are stated as follows:

  • An investor buys the shares of the bank R. The reason is the belief that the shares have been performing well, consistently, for a long time. This decision is an outcome of representative heuristics.
  • The investor who bought the shares of R suffers a loss as the market price begins to fall. Rather than acting on the representative heuristic, the investor should have collected factual information before buying the shares of the bank.

How To Overcome?

Since the representative heuristic is a cognitive flaw of the human brain, it is difficult to avoid it completely. However, its negative impact can be reduced or prevented to some extent.

The ways to overcome the impact of a representative heuristic are listed as follows:

  • One should be aware that his/her decision is based on representative heuristics. This will help prevent errors in decision-making.
  • One must think in different directions. He/she must assess several factors and think logically at each step. In this way, the decision will be an outcome of reasoning rather than a representative heuristic.
  • One should ask his/her peers and friends for feedback while making important decisions. This will help one realize whether he/she is relying on the representative heuristic or not.
  • One must approach each situation from a fresh perspective rather than a preconceived notion or past experience.

Representative Heuristic Vs Availability Heuristic

In the works of Daniel Kahneman and Amos Tversky, there is another heuristic called the availability heuristic. In this heuristic, decisions are based on recent information or the most easily available information.

The differences between representative heuristic and availability heuristic are listed as follows:

DifferentiatorsRepresentative HeuristicAvailability Heuristic
DescriptionOne makes decisions based on comparing an event with a previous mental representation.      One makes decisions based on the most easily available information about an event.  
Basis of decisionsThe mind tries to find events of a similar nature to base its decision.      The mind tries to take help of the recently available information.  
Strategy followed for making judgmentsThe more the preconceived notions, the higher the dependency on them and the lower the chances of considering other logical factors.  The easier the information can be recalled, the higher the chances of one forming an opinion.      
Interpretation of current event      The current event is a representative of the past event.The current event has happened as is in the past.        

Frequently Asked Questions (FAQs)

1. What is the representative heuristic in psychology?

Representative heuristic implies making decisions based on the resemblance of an event with a preconceived notion. The current event belongs to a group of events and shares the same features as this group. Therefore, in the representative heuristic, the current event is judged on the basis of the existing mental representations about the group of events.

2. What is a representative heuristic example?

An interviewer, N, has the impression that an introvert person is not a good fit for a marketing job. During an interview, N realizes that the candidate is not a socially active person though his resume is quite impressive.

In a short span of time, N decides not to hire the candidate simply because he is an introvert. N has drawn this conclusion on the basis of her past impression. She has ignored the other logical factors of assessing a candidate. This is an example of representative heuristics.

3. Why does a representative heuristic occur?

A representative heuristic occurs because one perceives a similarity between current and past events. Further, the past events have created a particular impression in the human brain. As a result, this pre-defined notion or impression is used to make decisions in the present.

The past impression is a mental stereotype wherein one forms a mental belief about the happening of an event. Such belief is often untrue or partly true.

This has been a guide to Representative Heuristics and its definition. Here we discuss the examples of representative heuristics, how to control it, and the differences between representative and availability heuristics. You can learn more from the following articles – 

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