Validation
Testing consistency without claiming certainty
GRIP is not validated by asking whether it can predict a single political decision. It is tested by checking whether the same inputs produce stable calculations, whether custom profiles behave plausibly against comparable cases, and whether historical analogues expose strengths or calibration limits.
Four layers of validation
Full regression testing
Every standard-country and standard-scenario pair is recalculated and compared with the established baseline.
Custom-profile calibration
Own Country and Own Scenario profiles are tested against comparable standard cases to identify close analogues, broad consistency and material divergence.
Historical plausibility assessment
Three real countries were recreated as custom country profiles and paired with three custom scenarios. For each case, a comparable recent historical event was identified and the GRIP result was compared with the state's documented reaction.
Application output verification
Selected cases were checked independently to confirm that the calculation is generated correctly and transferred into the application without changing the expected output fields.
Module 1 — Regression stability
The complete 47 × 14 standard matrix was recalculated. No categorical output changed and no threshold was crossed. The only differences were 0.01 changes in one or more debug scores.
Conclusion: standard SC–SS calculation behaviour remained stable against the previous baseline.
Module 2 — Calibration of custom inputs
Custom-country and custom-scenario cases were compared with standard analogues. Divergence is not automatically an error: it may indicate that the custom profile meaningfully differs from its closest available standard comparison.
Module 3 — Historical plausibility assessment
Three real countries were recreated through the Own Country function, and three custom scenarios were constructed through the Own Scenario function. For each country–scenario pair, a comparable recent real-world event was identified. The GRIP output was then compared with the documented external reaction, internal response and rhetoric of the state concerned.
Kazakhstan
Strong fit
Morocco
Partial fit
Oman
Strong fit
Historical comparison can reveal plausible behaviour and calibration limitations, but it cannot prove that the model will predict a future decision.
Module 4 — Application output verification
After the model calculations had been calibrated, selected cases were checked independently. The expected values were compared field by field with the results generated inside the application. This verifies that the calculation logic is transferred correctly into the implemented GRIP workflow and that the application presents the intended outputs.
What validation establishes
Validation establishes calculation stability, reproducibility and analytical plausibility within the tested scope. It does not convert GRIP into a forecasting oracle. The model remains an interpretation framework whose results depend on the quality of its country and scenario inputs.