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94797],[702499,4,0.0]],"seconds_per_simulation":1.0159,"notes":"All hashes verified: BASE 5d1bd527..., N bf0d179f..., RC 3c07bdcd...; RC starts with N's exact text; CANDIDATE = BASE + (RC minus N prefix), SHA-256 0d627e80... as required. Simulator danrobinson/prediction-market-challenge at b244530ee2a6247b5f930830eeca9dd950da0e7e, unmodified, Python 3.12.3, no sandbox, no workers. Per seed: cfg = runner.sample_config(ChallengeConfig(), ParameterVariance(), seed=s); SimulationEngine(cfg, loader.load_strategy_factory(path)(fresh), seed=s).run() for BASE then CANDIDATE, serial in one process; seeds were split into 4 contiguous ranges of 125 run in 4 independent serial processes at once (no shared state). d = CANDIDATE.total_edge - BASE.total_edge; spread = cfg.competitor.spread_ticks. se = sample sd(d)/sqrt(n). retail_diff/arb_diff are mean paired differences of retail_edge/arb_edge. seconds_per_simulation is wall time per single simulation within a process while 4 ran concurrently on 4 cores. check_values are [seed, BASE total_edge]. Neither file was tuned or changed. Observations: d is exactly 0 on every spread-1 (n=110) and spread-4 (n=128) seed, so the wrapper only changed outcomes at spreads 2 and 3 in this block. Block mean is -0.314 (se 0.505), negative but within 1 se of zero. Two outlier losses dominate it: seed 702116 (spread 2, d=-197.44) and seed 702325 (spread 3, d=-144.45). Without those two seeds the other 498 sum to +184.65 (mean +0.371). That exclusion is descriptive only; the reported figures include every seed."}