Induced-Resolution Corollary

Canonical definition

The Induced-Resolution Corollary is the derived result that, where a problem has been identified as sitting in the endogenous regime and one elects to resolve it, the better means is to induce the collapse of the prediction's superposition early, by acting on the world, rather than to predict the outcome and await its collapse; the corollary governs the choice of means once one elects to act, and does not impose a duty to resolve every open question at once. A system that acts early collapses on the short-Decoherence-Time regime, while the loop has accreted little, and the cost of having been wrong is bounded, whereas a system that predicts and waits permits the endogenous loop to run. The corollary also admits a parallel mode: rather than collapsing the whole superposition, the actor may isolate a smaller, representative component of the loop (most naturally a bounded sub-community) run an induced-decoherence test on that component while the larger loop continues, and use the resulting collapsed evidence to design the intervention against the larger loop before committing to it. The component must be representative enough that its collapse is informative about the whole, on pain of returning a clean verdict on the wrong question (its own Type I Exclusion). The parallel mode raises no prejudicial discrimination against the selected sub-community: the loop is already running on them, so the induced collapse reduces a cost they already bear rather than imposing a new one, and the focus of testing and intervention design places them first in line for the resulting intervention. The boundary is that the procedure collapses a dynamic already in place, never manufactures a new harm to study. In the limiting case, the collapse is itself the intervention: because contact with reality is what collapses an endogenous loop, identifying the problem as an endogenous loop and knowing how to induce its collapse is already sufficient to resolve it, and no separate downstream intervention need be designed. The parallel mode is reserved for the harder case, in which collapse is necessary but the intervention the collapsed state then requires is not known in advance; conducting the test at sub-community scale rather than population scale is what makes this case tractable, since a population-scale collapse with no ready remedy risks a full-scale crisis, and protects the larger community rather than disadvantaging it. First stated at Chapter 14 §14.8.5.