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= CANDIDATE.total_edge - T.total_edge per seed, both runs on the same sampled config and seed. Simulator danrobinson/prediction-market-challenge at b244530ee2a6247b5f930830eeca9dd950da0e7e, unmodified, Python 3.12.3, serial in-process (SimulationEngine directly, no sandbox/workers), fresh strategy instance per run via loader.load_strategy_factory. Both hashes verified before running. Run was split into two sequential invocations (1000500-1000853, 1000854-1000999) after a tool timeout; each seed is independent and deterministic. Seeds with nonzero d by spread: {1: 0, 2: 0, 3: 0, 4: 118}. se = sample sd / sqrt(n). sum_d/sum_d2/mean/se rounded to 6 decimals; per-seed d rounded to 6 decimals."}