RDA v0.9.7 was run against 13 LeRobot-format datasets from HuggingFace Hub — 4,940 episodes total, default thresholds, zero per-dataset tuning. The results challenge the assumption that "clean data" and "good training data" are the same thing. The Problem When most people evaluate robot manipulation datasets, they check one thing: is the data broken? Missing frames? NaN values? Timestamp inversions? If none of those — "data's fine, let's train." That logic has a gap. We ran RD...