# Intervention (Causal Inference) **Entity class:** Causal And Behavioral-Modeling Layer concept **Intervention (Causal Inference)** is a concept in the causal and behavioral-modeling of the counterterrorism predictive-graph ontology. The operational value of Intervention (Causal Inference) lies in preserving time, provenance, confidence, and alternative explanations. ## Counterterrorism predictive-graph role The page records capability and analytic function. Any claim of a named operational deployment remains subject to the [[wiki/Counterterrorism Predictive Graph Evidence Ladder|evidence ladder]]. The analytic state should distinguish ground truth, observed evidence, inferred state, and predicted state. ## Relationships - **domain router:** [[wiki/Causal Inference|Causal Inference]]. - **ontology neighbors:** [[wiki/Potential Outcomes|Potential Outcomes]] and [[wiki/Correlation|Correlation]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [NIST/SEMATECH — e-Handbook of Statistical Methods (accessed September 23, 2026)](https://www.itl.nist.gov/div898/handbook/) - [Oden Institute — Tan Bui-Thanh research profile (accessed September 23, 2026)](https://oden.utexas.edu/people/directory/Tan-Bui/) **As of:** 2026-09-23