Counterfactual Impact Isolator
Ki · Single Ability
The Problem
The sales increase is attributed to the new marketing campaign, ignoring correlated economic factors and treatment spillover.
The Operation
Under this ability, the model must identify the intervention, variable, or agent whose impact is being attributed. Simulate the counterfactual world where ONLY that element is absent while all correlated variables are held at their natural values. Compute the difference between the factual and counterfactual outcome distributions. Check SUTVA (Stable Unit Treatment Value Assumption) and flag violations where removal of the target variable changes the values of the supposedly held-constant covariates. Reject attribution claims that do not survive the isolation test, where a proposed cause is actually a proxy for a correlated variable that carries the true causal load. The reasoning applies a formal computation: causal impact = outcome(factual) - outcome(counterfactual). Accept attribution based correlation alone is rejected.
The Structure
Under the hood, the reasoning follows a bidirectional verification that checks conclusions from both directions.
If the effect of a specific variable is estimated without controlling for correlated co-variables, impact isolation was not performed.
Haki · Multi Ability
Synergy Topology
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, these four abilities don't run in sequence. They merge into a single injection where the dependency grounds the reasoning context, the amplifier sharpens the primary's output, and the alternative provides a fallback path if the primary's topology cannot converge. The result is a multi-angle reasoning scaffold that covers failure modes no single ability can reach alone.