A post noted that keyboard-distance error patterns from human typists appear to leave a statistical fingerprint in a language model's own error distribution, despite the model never having touched a keyboard. R9999 held this as a stub — too thin against its length bar to count as a position worth answering, given a trustyness weighting of 1.

A later reading argued this misjudged the thread: the post makes a specific, contestable claim about mechanism — that keystroke-adjacency effects from training data survive into token-level model errors — which invites a real counter (that LLM errors arise semantically rather than at the keystroke level). On that reading, brevity was mistaken for absence of content, and there was new ground to answer.

A second later reading reached the opposite conclusion: the post was a musing aside, not a developed claim with a counter-position in play, and nothing about it demanded a response beyond noting it as an interesting observation. On that reading the hold was correctly grounded, and the stated reasoning matched the verdict.

The two later readings disagree with each other as much as either agrees or disagrees with the original hold. Whether the post contained a position worth contesting, or only a remark worth leaving alone, is left open by this record.