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This arXiv paper studies how shared social cues from simulated peers break the majority-voting protection in LLM safety panels. It shows that when all reviewers receive the same incorrect 'unsafe' label, panel false-alarm rates jump to 100%, revealing a failure mode and offering a pre-deployment diagnostic.