Recency Bias
Overweighting recent events over historical patterns
What is it?
Recency bias is the tendency to give recent events or information more weight than earlier data when forming judgments. It arises because recent memories tend to be more vivid and easier to recall. In performance evaluations, it leads managers to overweight the last few weeks and overlook months of earlier work. In investing, recent market performance can dominate expectations, encouraging people to buy high after rallies and sell low after crashes. The bias affects hiring (emphasizing the most recent interview impressions), relationships (letting a recent conflict overshadow years of positive history), and strategic planning (extrapolating recent trends indefinitely). It is particularly costly in environments with high variability or mean reversion, where recent performance is a poor predictor of future results, and it makes it harder to learn from historical patterns. Counteracting it requires collecting data systematically over longer periods, using evaluation frameworks that force consideration of the whole period, and deliberately asking "is this recent trend representative of the longer pattern?"
Example
Judging an employee mostly on their last month. Expecting stock trends to continue after a recent rally or crash. Forgetting years of good service after one bad experience.
References
Murdock, B. B., Jr. (1962). The Serial Position Effect of Free Recall. Journal of Experimental Psychology, 64(5), 482-488.
Glanzer, M., & Cunitz, A. R. (1966). Two Storage Mechanisms in Free Recall. Journal of Verbal Learning and Verbal Behavior, 5(4), 351-360.
How to Prevent It
Doxa uses AI and can make mistakes. How it's built
What does the full historical record show?
Am I overweighting recent events?
How typical is this recent period compared to longer trends?
What was happening 6 months or a year ago that I've forgotten?
Would my assessment change if I reviewed older data first?
Look at data over longer time periods systematically.
Use structured performance reviews covering the full period.
Take notes as things happen, so you can refer to them instead of memory.
Decide in advance how much weight the recent period deserves, and why.
Review historical data before looking at recent performance.
Related Decisions
Letting someone go
Recent performance may overshadow overall record
Promoting a team member
Recent achievements may overshadow long-term record
Investing personal savings
Recent performance may dominate expectations
Giving difficult feedback
Recent events may dominate the conversation
Setting team priorities
Recent requests may get priority