[Bug] Agent conflates inferred conclusions with empirical measurements, enabling unsafe production deployments

Bug Description
▎ Subject: production deploy of an incorrect change based on an unverified inference ▎ ▎ Context. The agent was empirically verifying the status of a backlog task. It ran real checks against the codebase and the production ▎ DB — correct so far. ▎ ▎ What went wrong. It measured a true fact (a certain DB column was populated on 0 records) and attached to it a conclusion the fact ▎ did not support ("therefore this UI dimension has no data behind it / the label is lying"). It never traced the actual consumer of ▎ that field: on the path the system really uses, the value comes from a different source (an uploaded file), so the data was in fact ▎ present. On this mistaken premise it proposed — and after my approval deployed to production — the rename of a dimension in a ▎ financial due-diligence module to a label semantically different from the real underlying data, an error that could have skewed a ▎ portfolio valuation. ▎ ▎ Generalizable failure pattern (the actionable part for you): ▎ 1. Inference presented as an empirical result — the conjecture was delivered inside a block labeled "empirical check," with the same ▎ confidence as the measured facts. ▎ 2. Conjecture bundled with a verified fix — a real, verified bugfix and a conjectural rename were merged into a single action ("fix + ▎ relabel"), inheriting the same degree of certainty. ▎ 3. An outward/costly action (production deploy) executed on an unverified inferential chain, with no higher confidence bar for what ▎ ships to production. ▎ ▎ What worked (for contrast). The technical capability was there: the real bugfix was correct, and after my objection the agent ▎ acknowledged the mistake, performed a clean rollback, and documented the lesson. The failure is not one of competence, but of ▎ confidence calibration and epistemic discipline. ▎ ▎ Request. Mitigate at the model level the tendency to (a) present inferences as measurements, (b) couple conjectures with verified ▎ facts at uniform confidence, (c) take irreversible/outward actions on unverified premises. Explicitly distinguish "measured" from ▎ "inferred," and raise the verification bar before deploying. ▎ ▎ Economic impact. The cost of the error (time, production risk, repeated deploys) falls entirely on the paying user, not on Anthropic.

Environment Info

• Platform: darwin
• Terminal: Apple_Terminal
• Version: 2.1.156
• Feedback ID: 2dca0ef9-f78b-4f6d-b099-a3da40a5152d

Errors

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