Apophenia
The tendency to perceive meaningful connections between unrelated things
Causal AttributionOutcome
Learning Path
Evidence And Explanation
Biases that corrupt sampling, explanation, and the interpretation of evidence before a confident belief hardens.
8 biases
Foundational
50 min
By the end of this path
- Differentiate selective evidence handling from genuinely stronger explanation.
- Notice when rates, denominators, and missing cases have been displaced by a cleaner story.
- Get comfortable generating rival hypotheses before reading further.
How to study it
Work the pages in order, then loop back and compare which distortions happened earliest, which ones protected the first impression, and which ones interfered with later learning.
Next:
Biases in this path
This is a deliberate sequence, not just a themed pile. Start at the top if the context is new to you.
Clustering illusion
The tendency to overestimate the importance of small runs, streaks, or clusters in large samples of random data (that is, seeing phantom patterns)
Hypothesis AssessmentOutcome
Confirmation bias
The tendency to notice, seek, and remember evidence that supports the story you already prefer more readily than evidence that threatens it.
Hypothesis AssessmentOutcomeMedia & politicsResearch & evidence
Motivated reasoning
The tendency to use reasoning as a defense lawyer for desired conclusions rather than as an impartial search for what is most likely true.
Hypothesis AssessmentSelf-PerspectiveMedia & politicsPersonal decisions
Availability heuristic
The tendency to judge frequency, risk, or importance by how easily examples come to mind.
EstimationAssociationMedia & politicsPersonal decisions
Base-rate neglect
The tendency to underweight general prevalence information when vivid case-specific details are available.
EstimationBaselineResearch & evidenceForecasting & planning
Survivorship bias
The tendency to learn from the visible winners while overlooking the invisible failures that dropped out of view.
Hypothesis AssessmentOutcomeResearch & evidenceForecasting & planning
Outcome bias
The tendency to judge the quality of a decision mainly by how things turned out rather than by the quality of the reasoning under the uncertainty that existed at the time.
EstimationOutcomePostmortems & learningTeams & management