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In-group Bias

Favoring members of your own group

Social

What is it?

In-group bias (or in-group favoritism) is the tendency to favor members of one's own group over outsiders. Henri Tajfel's "minimal group" experiments showed that even arbitrary groupings (such as a stated preference for one abstract painter over another) were enough to trigger preferential treatment of in-group members. The bias often operates without conscious intent. We tend to allocate more resources, extend more trust, give more charitable interpretations and provide more positive evaluations to those we perceive as "us." A common explanation is that cooperating with one's own group once aided survival. In modern contexts, it creates problems. In hiring, we tend to favor candidates who share our background. In performance reviews, we may rate in-group members higher. In conflicts, we assume bad intent from out-groups while granting the benefit of the doubt to our own. The bias perpetuates homogeneity and inequality. It is often invisible to those displaying it: we don't see ourselves as biased; we just "click better" with certain people. Counteracting in-group bias requires awareness of group boundaries, structured decision-making processes that reduce discretion, diverse decision-making bodies, and explicit evaluation criteria applied consistently.

Example

A manager giving better projects to people from their alma mater. Trusting information more when it comes from someone of your own nationality. Rating in-group members higher in reviews.

References

Tajfel, H., Billig, M. G., Bundy, R. P., & Flament, C. (1971). Social Categorization and Intergroup Behaviour. European Journal of Social Psychology, 1(2), 149-178.

Tajfel, H., & Turner, J. C. (1979). An Integrative Theory of Intergroup Conflict. In W. G. Austin & S. Worchel (Eds.), The Social Psychology of Intergroup Relations (pp. 33-47). Brooks/Cole.

Brewer, M. B. (1979). In-Group Bias in the Minimal Intergroup Situation: A Cognitive-Motivational Analysis. Psychological Bulletin, 86(2), 307-324.

How to Prevent It

Doxa uses AI and can make mistakes. How it's built

Question

Am I treating outsiders as fairly as group members?

Question

Would I make this decision for someone outside my group?

Question

Am I assuming negative traits about "them" without evidence?

Question

Apart from a shared background, what specific evidence supports my view of this person?

Question

Am I seeing individuals or just group membership?

Technique

Use blind evaluation processes when possible.

Technique

Write down evaluation criteria before meeting candidates or reviewing work, and score everyone against them.

Technique

Build relationships with people from different groups.

Technique

Focus on shared goals that transcend group boundaries.

Technique

Create cross-functional teams that mix different groups.