think-authentic-dissentlisted

<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 --> # Authentic Dissent Genuine minority dissent makes a group reason better: a person who truly holds a contrary view makes the majority search more broadly and consider more options, even when the dissenter is wrong. The catch, established by the same research, is that **role-played devil's advocacy does not replicate this** - assigned dissent gets discounted as performance. So an AI cannot *be* the dissent; anything a model argues against a plan is constructed, the weaker kind. This skill therefore does not pretend to be the dissenter. It engineers the conditions for real dissent: it audits whether genuine dissent exists, surfaces who holds it, plans how to elicit and protect it, and flags constructed dissent as constructed. The output is a **dissent audit and plan**. ## When to Use - A group decision shows suspiciously smooth consensus and nobody is really pushing back. - You can influence how challenge is gathered (who speaks, anonymous input, outside reviewers). - Before a high-stakes call where you want genuine, not performed, challenge. ## When NOT to Use - As a source of dissent itself: the model's contrarian view is constructed, not authentic (use `red-team-light` for that, which is honest about being constructed). - In a purely solo setting with no access to other people - you cannot manufacture authentic dissent. - When genuine dissent already exists