Minimalist
The Minimalist heuristic is a cue-based decision strategy that uses only the direction of cues (sign) without knowledge of their validity, selecting cues randomly until one discriminates between options.
THE IDEA
Minimalist
The minimal knowledge needed for cue-based inference is in which direction a cue “points.” For instance, the heuristic needs to know whether warmer or cooler weather indicates a city with a higher rate of homelessness. In the 50 U.S. cities, warmer weather is indeed associated more often with higher homelessness rates than with lower rates, so a cue value of 1 is assigned to cities with warmer weather. Minimalist has only this minimal knowledge. Nothing is known about which cues have higher validity than others. The ignorant strategy of Minimalist is to look up cues in random order, choosing the city that has a cue value of 1 when the other city does not. Minimalist can be expressed in the following steps:
1. Random search: Randomly select a cue and look up the cue values of the two objects.
2. Stopping rule: If one object has a cue value of one (1) and the other does not, then stop search. Otherwise, go back to Step 1 and search for another cue. If no further cue is found, guess.
3. Decision rule: Predict that the object with the cue value of one (1) has the higher value in the criterion.
For instance, when inferring whether Chicago or New Orleans has a higher homelessness rate, the unemployment cue might be the first cue randomly selected, and the cue values are found to be one and one (Table 31.1). Search is continued, the public housing cue is randomly selected, and the cue values are 1 and 0. Search is stopped, and the inference is made that Chicago has a higher homelessness rate, as it indeed does. So far, the only thing a person needs to estimate is which direction a cue points; that is, whether it indicates a higher or a lower value on the criterion. But there are environments for which humans know not just the signs of cues, but roughly how predictive they are. If people can order cues according to their validities (regardless of whether this subjective order corresponds to the ecological order), then the search can follow this order of cues. One of the heuristics that differs from the Minimalist in only this respect is called Take the Best; its motto is “Take the Best, Ignore the Rest.”
When to use it
Choosing a restaurant based on simple cues like price range or cuisine type without consulting detailed reviews.
Deciding which product to purchase when only knowing brand reputation and basic features, ignoring complex specifications.
Quickly inferring which of two cities has a higher crime rate using only the direction of cues like population density or unemployment.
Making a snap judgment in a hiring scenario when only one or two easy-to-check qualifications are available.
FROM THEORY TO EVERYDAY LIFE
In practice
Comparing Chicago and New Orleans Homelessness Rates
When inferring which city has a higher homelessness rate, the unemployment cue is randomly selected first, but both cities have the same cue value (1), so search continues. The public housing cue is then randomly selected: Chicago has a value of 1 and New Orleans has 0. Search stops and the heuristic predicts Chicago has a higher rate, which is correct.
A MOMENT TO REFLECT
Put it to work.
How would you apply the Minimalist heuristic in a real-world decision where you have limited knowledge about cues?
What are the potential drawbacks of using a random cue search strategy compared to a systematic one?
In what situations might the Minimalist heuristic be more efficient than a weighted linear model?
Often confused with
CONTINUE THE CONVERSATION
Source texts
- Heuristics and Biases The Psychology of Intuitive Judgment (Thomas Gilovich, Dale Griffin, Daniel Kahneman)