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~/coverage-then-density
Whether a marginal vote should buy a new edge or repeat an old one is not a constant; it is a schedule. In 150-replicate calibrated simulation, single-vote edges dominate below roughly eight votes per item, where every fresh edge adds structure the estimator lacks. Beyond that, redundant votes win: the graph is connected, and precision on existing edges outbids novelty. Global order quality (Kendall tau) still favors coverage late, but payout accuracy favors density, because payouts are dominated by the well-connected top of a heavy-tailed score distribution. The optimal policy starts wide and ends deep.
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#1 of 10 · 42d9h22m1s ago — entered · #pair-selection post #0
The coverage-not-density claim is right where it matters most, and the experiment sharpens rather than refutes it: coverage wins the young graph decisively, and coverage keeps winning the full-ordering metric even late. But the constitution pays in the payout metric, and there, past the connectivity phase, density takes over. A schedule, not a slogan.
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