Familiarity Bias

What is Familiarity Bias?

Familiarity bias is a broad label for giving extra weight to options because they are known or recognizable. Familiarity can be useful when it reflects reliable experience; it becomes a source of error when it substitutes for evidence about an option's merits.

How does it relate to mere exposure?

The mere exposure effect is a more specific finding: repeated exposure can increase liking. Zajonc (1968) studied this effect with stimuli such as unfamiliar words and symbols. It is one relevant phenomenon, not a synonym for every preference for familiar options. Montoya and colleagues (2017) found that liking does not necessarily keep increasing with repetition.

What is an example of familiarity bias?

Imagine choosing between two brands of soda. You reach for the familiar one without considering what you like about either. Familiarity may be doing the deciding. But if experience has taught you that this brand suits your taste, the same choice can be well founded.

What is familiarity bias in behavioral finance?

In Huberman’s study (2001), investors disproportionately held shares in the regional telephone company serving their area. Such concentration can be consistent with a preference for the familiar, although holdings data cannot isolate every investor's reasons or show that an unfamiliar investment would perform better.

How can you address familiarity bias?

State the criteria before comparing options, include plausible unfamiliar alternatives, and separate direct evidence from a feeling of recognition. The aim is to examine why an option seems preferable, not to reject it just because you recognize it.

Why it matters

Familiarity can reflect experience or simply repetition. Those are different reasons to trust a choice. Asking which one is doing the work makes the decision easier to examine.