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Whale coalitions, jitter > 0 and very slow beta were the residual "untested adversary variants" of open item 11. None moves a conclusion: - Concentration does not change the deflation (suppression D-hat within noise at every stake), and a whale coalition reproduces the sec 6.4 withholding law D-hat -> (1-beta_adv) more cleanly than a random one: 0.9005/0.6997/0.5010 against a predicted 0.9/0.7/0.5. The "lumpier share statistic" worry points the other way, and for a reason that is about coalition CONSTRUCTION rather than concentration: a random coalition grows until its stake first reaches the target, so the last node added overshoots by its own size -- a whale, under a Pareto tail. Realised block share at a nominal beta_adv = 0.1 is 0.137 +- 0.108. Logged as item 17: the beta_adv axis is a nominal target. - jitter up to 1 slot changes nothing under attack (notch 0.390 -> 0.410, attacker share flat, range_ratio identically 0), as sec 6.1 found honestly. - Slow beta shrinks the notch (0.415 -> 0.080 for beta 1 -> 0.1) at flat attacker take, but sinks the MEAN estimate to 0.765 at beta = 0.05: the estimator can no longer track back up during the honest half of the cycle. Slowing beta buys the defender nothing on either axis. Unplanned: study A blew past the memory guard, which turned out to be the sec 6.2 fold being reached. The mechanism is sec 6.2's own -- rho_eff = rho/r, and withholding deflates r by design, so a 50 % coalition doubles the load onto rho_eff ~ 1.1 at the design point. Swept directly, the estimate collapses once in 144 runs at delta_max = 8 (a concentrated 50 % coalition) and never at delta_max = 4. That retires "not an observed dynamical trap" but is one event, so the claim is stated as a rare tail and the rate is logged unmeasured as item 18. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>