Bias Taxonomy
KahneBench tests 69 cognitive biases organized into 16 categories based on underlying cognitive mechanisms.
Categories Overview
Each category represents a distinct cognitive mechanism from the Kahneman-Tversky research program. Click on a category to see its details below.
Anchoring
Over-reliance on initial information when making estimates
Attention Bias
Selective focus on certain information over others
Attribution Bias
Errors in explaining causes of behavior
Availability
Judging frequency or probability by ease of recall
Confirmation
Seeking and favoring confirming evidence
Extension Neglect
Ignoring sample size, duration, and scope
Framing
Decisions affected by how options are presented
Loss Aversion
Losses loom larger than equivalent gains
Memory Bias
Systematic distortions in memory and recall
Overconfidence
Excessive certainty in one's judgments
Probability Distortion
Systematic misweighting of probabilities
Reference Dependence
Outcomes evaluated relative to reference points rather than absolutely
Representativeness
Judging probability by similarity to prototypes rather than base rates
Social Bias
Biases in social perception and judgment
Temporal Bias
Biases related to time perception and discounting
Uncertainty Judgment
Errors in assessing and responding to uncertainty
Category Details
Expand each category to see all its associated biases and detailed information.
Bias Data
The full taxonomy data including detailed bias definitions, theoretical basis, System 1/2 mechanisms, and classic paradigms will be populated after running the benchmark. This data comes from the Python benchmark's taxonomy.py file.