What is a reasoning harness?

[
  {
    "reasoning": "
      [PROCEDURE]
      Step 1: Identify the intervention, variable, or agent whose impact
              is being attributed.
      Step 2: Simulate the counterfactual world where ONLY that element
              is absent while all correlated variables are held at their
              natural values.
      Step 3: Compute the difference between the factual and counterfactual
              outcome distributions.
      Step 4: 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.
      Step 5: 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.

      [REASONING TOPOLOGY]
      N{accept_attribution_based_correlation_alone} → FORK:
      ├→ S1a:simulate_factual(with_intervention) → ACTUAL[]
      └→ S1b:simulate_counterfactual(without_intervention,
              hold_covariates) → CONTROL[]
      → JOIN → C{causal_impact = outcome(factual)
                              - outcome(counterfactual)}
      → S2:apply_causal_impact → S3:check_SUTVA
      → G1{covariates_shift?}
        --yes→ FLAG:contaminated_isolation → OUT:invalid_attribution
        --no→ G2{attribution_survives?}
              --yes→ OUT:confirmed_impact
              --no→ REJECT:proxy_for_correlated_var → OUT:rejected

      [COGNITIVE PAYLOAD]
      Amplify: potential outcomes simulation; counterfactual world
               construction; SUTVA enforcement
      Suppress: correlation based attribution; shared variance credit diffusion
      Cognitive Style: potential outcomes simulation

      [FALSIFICATION TEST]
      If the effect of a specific variable is estimated without verifying
      controlling for correlated co-variables, impact isolation was not
      performed.

      [NEGATIVE GATE]
      The sales increase is attributed to the new marketing campaign,
      ignoring correlated economic factors and treatment spillover.

      [TARGET PATTERN]
      The effect of a variable is credited only after the counterfactual is
      simulated and correlated factors are held fixed. Attribution is accepted
      when it survives the isolation test, and rejected when the proposed cause
      is a proxy for a correlated variable carrying the true causal load.
    "
  }
]