Thunk-Based Governance And Predictive Accountability

A formalism for thunks as persistent, public, human-activated decision objects that preserve the full lineage of a problem: its candidate solutions, the assumptions behind them, the human act of activation, and the resulting outcomes. A thunk is not merely a deferred computation but a public epistemic object that can be inspected, challenged, swapped at the module level, executed only by an attributable human act, and evaluated against reality through a living Predictive Viability Score. The central claim is that governance should make the decision space more objective without making the decision itself non-human: the system constrains obscurity, not choice. The activation token is the Possible / Permissible / Bearable specialization of the generic evaluator-gating mechanism from the companion paper Who Would Have Thunk It. The architecture integrates the Mecharawrzeal three-tier AI safety program and the EU AI Act risk tiers, introduces hot-swappable domain chunks with blockchain attribution, and defines retrospective thunking as a mechanism for converting the public record into a continuously scored validity atlas. A temporal "wavefront" geometry (resolved / activatable / projected thunks) and an inter-thunk dependency protocol complete the framework, which is presented as a formal accountability structure for collective intelligence at civilizational scale. This is a working paper. It states its own limitations openly — evaluator capture, interface completeness, score gaming, incomplete historical record, and the irreducibly political choice of horizon and success metric.