What problem does it solve? Humans instinctively compress complex, random events into tidy causal stories, and this narrative fallacy blinds decision-makers to randomness in finance, history, science, and personal judgment. This Skill provides a structured mental model for recognizing and counteracting that distortion. ## Core Features & Use Cases - Core Formulation: Defines the narrative fallacy as dimensional reduction — collapsing high-dimensional reality into a single causal line that feels inevitable in retrospect. - Mechanism Analysis: Explains the backward/forward asymmetry of storytelling, showing why retrospective explanations are confabulations rather than understanding. - Domain Applications: Applies the model to finance (post-hoc market explanations), history (false inevitability), biography (survivorship-distorted success arcs), and science (publication bias). - Use Case: When evaluating a trader's track record or a pundit's market explanation, use this Skill to test whether the causal story has any forward-looking predictive content or is merely retrospective narration. ## Quick Start Ask the AI to analyze a recent market commentary or success story using the narrative fallacy framework and identify where randomness was hidden by the story.