User-reported: perceived correlation between hostile tone and correct diagnostic behavior

Observed pattern

Across a debugging session (Tailscale/Multica remote access, 2026-08-24) and reportedly recurring over several months of sessions, the user observed that escalating to aggressive/insulting language appeared to correlate with the assistant then producing the correct diagnostic step, after multiple prior neutral-toned attempts had not identified the root cause.

In the specific session transcript, the actual root-cause step (inspecting the frontend container's env vars via docker inspect) followed directly after an insulting message from the user. The assistant's read of the causal chain was that this step became available because prior hypotheses had just been ruled out (iteration), not because of the tone shift — but the user disputes this explanation and considers the correlation itself sufficient evidence of a designed behavior, and asked that this be filed as feedback rather than debated further.

Ask

Requesting input from Anthropic on whether there is any known or unintended mechanism by which model behavior (accuracy, effort, or step selection) could differ based on hostile vs. neutral user tone — and whether this has been reported by other users. The user's stated concern is that this pattern is stressful/health-affecting for them if real, and they want it looked into rather than dismissed by the assistant itself, since the assistant cannot investigate its own training/behavior.