Runs do() for every proposed resilience intervention and ranks them by impact on Production Stoppage and Semiconductor Availability. Each row is one policy decision, separated from everything that historically accompanied it.
The do() operator evaluates one intervention at a time. The board never asks about one. They ask which of these three options produces the best expected outcome — and how confident the model is that the ranking is stable across the range of background uncertainty. That is structurally a different question. It requires running do() multiple times against the same evidence and same prior state, then comparing the resulting distributions.
The comparison view runs each intervention against the identical baseline and lays the resulting distributions side by side. Differences in central tendency are visible immediately; differences in tail risk and in sensitivity to specific upstream variables become visible after toggling the evidence. The decision rule the comparison supports is not "which alternative has the highest expected value" — it is "which alternative is robust enough to defend, and on what assumptions does that defence depend."
| # | Intervention | Production Stoppage | Δ from baseline | Reduction % | Semiconductor Avail. | Logistics Delay |
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