isHealingFalsified
plain-language theorem explainer
A predicate on lists of healing trial records holds when the correlation between distance and effect size falls below negative one half, falsifying the coherence transfer prediction from voxel theory. Experimental physicists running distance-varied healing studies would cite this condition to interpret whether data supports or refutes the model. The definition is a placeholder that returns true, with comments describing the planned correlation threshold.
Claim. Let $trials$ be a list of records, each containing a distance $d$, effect size $e$, and phase-locking value change. The predicate holds if the correlation coefficient between the distances and effect sizes is less than $-0.5$.
background
The module formalizes experimental protocols for testing predictions from the voxel and meaning framework. Core predictions include EEG peaks at powers of phi during meditation, mode ratios for classifying consciousness states, healing via coherence transfer through theta coupling, and altered water coherence domains near intention. All predictions are hypotheses equipped with explicit falsification criteria rather than proven results.
proof idea
The definition is a placeholder that returns true. Body comments outline the target logic as checking whether the correlation between distance and effect size drops below negative one half, which would indicate decay and falsify the healing prediction.
why it matters
The declaration encodes the falsification condition for the healing mechanism prediction, one of the core testable claims in the experimental protocols module. It supplies an empirical test for coherence transfer that traces to the phi-ladder and forcing chain in the Recognition Science framework. With zero recorded downstream uses, its integration into statistical or simulation modules remains open.
Switch to Lean above to see the machine-checked source, dependencies, and usage graph.