Recognition Heuristic

What is the recognition heuristic?

The recognition heuristic uses recognition to infer which of two alternatives has a higher value on a specified criterion. When one alternative is recognized and the other is not, the rule favors the recognized alternative.

When recognition is informative

Goldstein and Gigerenzer’s model concerns environments where recognition predicts the criterion. For instance, recognizing a city’s name can sometimes provide information about population. Recognition is not inherently evidence that something is better, safer, or more valuable.

When the recognition heuristic applies

The basic rule does not settle a comparison when both alternatives are recognized or neither is recognized. It also differs from merely liking a familiar option.

Limits of the recognition heuristic

The model identifies conditions under which limited knowledge can support accurate inference. It does not say that less knowledge is always better or that people always ignore other information. For example, recognizing a company’s name does not establish that it is a good investment, and recognizing a sports team does not establish its chance of winning. The important question is whether recognition predicts the specific outcome being judged.