# Causal Story Capture **Entity class:** Concept or analytic term **Domain:** Identity / Prediction / Narrative Governance **Doc Type:** Concept Node **Maturity:** Foundational ## Definition **Causal Story Capture** occurs when an explanation of how a person arrived at a present state becomes a constraint upon which future states remain imaginable or institutionally available. The transition is subtle: **“This helps explain why I became this.” → “Therefore I could never have become otherwise.”** Explanation becomes verdict. A useful causal model acquires jurisdiction over the future person. ## Westworld Interface William uses childhood violence in [[wiki/Westworld S3E6 — The Model Beneath the Model|Decoherence]] as evidence that his later trajectory was inevitable. [[wiki/Rehoboam|Rehoboam]] performs the same operation at civilizational scale by treating modeled trajectories as definitions and removing opportunities that could falsify them. ## Governance Consequence When a model changes access, treatment, employment or custody, it can manufacture the future it predicted. [[wiki/Forecast-Induced Dissipation|Forecast-Induced Dissipation]] removes counterfactual lives; [[wiki/Institutional Retrocausality|Institutional Retrocausality]] lets the predicted future reorganize the present. ## See Also [[wiki/Peak Person|Peak Person]] · [[wiki/Forecast-Induced Dissipation|Forecast-Induced Dissipation]] · [[wiki/Counterfactual Opportunity|Counterfactual Opportunity]] · [[wiki/Prediction Is Not Jurisdiction|Prediction Is Not Jurisdiction]] · [[wiki/Developmental Priors|Developmental Priors]] ## Relationships <!-- BEGIN HUMANIZED RELATIONSHIPS 2026-09-11 --> This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material. <!-- END HUMANIZED RELATIONSHIPS 2026-09-11 --> ## Simple Reminders, Quotations, and Thoughts > "Aspiring writers are told to immerse themselves in great stories to gradually develop a deep, not necessarily conscious, sense for how they work." > **— Jonathan Gottschall**, *2015, Edge annual question “What Do You Think About Machines That Think?”* [[reminders/Machine Succession/Storytelling Machines Could Learn by Immersion by Jonathan Gottschall|Storytelling Machines Could Learn by Immersion by Jonathan Gottschall]]