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* ec placement: steer shards to less-loaded machines, not the lowest id EC encode places every volume against one shared topology snapshot (it reserves the shards it assigns so later volumes see reduced capacity), but node selection ranked only by this volume's shard count and broke ties by sorted id. So the lowest-id machine won the first shard of every volume and accumulated far more total shards than the rest -- on a 6-machine cluster the first machines drifted to ~1.5x. Rank eligible nodes by the machine's shards of this volume, then the machine's free capacity, then the node's shards of this volume, then the node's free capacity. Free capacity reflects the load already placed, so ties steer toward the least-loaded machine instead of the lowest id, keeping total EC shards even across machines. * test: ec.balance converges to even per-machine load from a skew Starts machine 10.0.0.1 at 4 shards/volume and the rest at 2, then runs repeated worker-style capped passes; asserts convergence to an even per-machine total (reaches exactly even in ~13 rounds). * reduce comments on the placement fix Trim narration to the non-obvious why. * test: assert convergence and count zero-shard machines Seed the per-machine map with every host so a fully drained machine still registers, and fail explicitly if balance doesn't converge before the round cap.