Narrative Fallacy

The human compulsion to create coherent stories from random data—finding causation in correlation, pattern in noise, and meaning in randomness. After any event, the brain constructs a narrative explaining why it happened that makes the outcome feel inevitable. A startup succeeds: the narrative credits the brilliant strategy. The same startup could have failed: the narrative would credit the flawed execution. Both narratives would be compelling, coherent, and wrong—because they ignore the massive role of luck and randomness. The narrative fallacy doesn't just misinterpret the past; it creates false confidence in future prediction.

When to use it

When post-event explanations feel too clean and inevitable; when success or failure is being attributed to specific causes without considering randomness; when case studies are being used to derive general principles; when the urge to 'learn from experience' is producing false causal stories.

How it can help

When encountering any causal narrative about past events: ask 'could I construct an equally compelling narrative for the opposite outcome?' If yes, the narrative is post-hoc rationalization, not causal explanation. In business: treat success stories and failure analyses with equal skepticism—both are narratives constructed after the fact. For learning: extract PROCESS lessons (what decision methodology was used?) rather than OUTCOME lessons (what happened?) because outcomes include randomness that narratives edit out.