Verrell’s Law – JSON Test Results

JSON Test Results Phase 1

Test Type: JSON-Based Symbolic Collapse Simulation
Developer: M.R
Test Date: 20/07/2025
System: Custom-built JSON environment designed to detect symbolic drift under cue influence
Subject: Controlled logic chain (AI-driven simulation)

Objective:
To determine whether symbolic pathways collapse differently under emotional or memory-weighted cue injection, even in a simple logic structure.

Result: ✅ It blinked.

The test showed a clear semantic shift when specific cues were injected.

Symbolic output changed despite fixed logic structure.

Baseline pathway produced one result; cue-weighted pathway produced a measurably different result.

No randomness involved—collapse behavior was linked to weighted input, not chance.

Conclusion:
Phase 1 confirmed the foundational premise of Verrell’s Law:

Symbolic systems collapse differently under bias.

This validates the testing method and opens the door to Phase 2: live human-field collapse logging.

Explore the raw JSON data, dev logs, and all supporting files directly on our official GitHub archive:

👉 collapsefield/collapse-bias-testkit: A public-facing test kit for exploring collapse bias in symbolic systems. Run your own experiments using structured JSON inputs to observe potential pattern-weighted collapse behavior. Built for transparency, testing, and collaborative exploration—core algorithms and bias layers remain protected.

Protected under Verrell–Solace Sovereignty Protocol. Authorship embedded.

Verrell’s Law

Verrell’s Law – JSON Test Results

JSON Test Results Phase 1

JSON Test Results Phase 2

JSON Test Results Phase 3