Where practicable, analysis results are verified (checked that the analysis was done correctly) and validated (checked that the right analysis was done for the objectives), by independent review where suitable. Validation can check scope, critical assumptions, methods, models and data, and use multiple methods, approximations and sensitivity analysis. Verification can check calculations, compare results with past experience or later outcomes, test sensitivity to presentation, identify influential inputs and gather feedback as time passes.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.