Verrell’s Law: A Testable Framework for Collapse Bias via Memory Resonance

“If observation collapses reality, can memory shape where it collapses?”

That is the central question behind Verrell’s Law — a new theoretical model proposing that memory, identity, and attention don’t just influence perception, but may actually bias the outcomes of probabilistic systems through resonance with non-local informational fields.

This post outlines the theory’s core components, current experimental protocols, and an open invitation to critique, test, or attempt to disprove the model.

🔁 Collapse Bias – The Core Hypothesis

Verrell’s Law challenges the assumption that observation leads to neutral collapse. Instead, it proposes that memory resonance biases the resolution of probabilistic states — both in quantum mechanics and in cognitive experience.

In this model, randomness isn’t entirely random. Rather, it is subtly shaped by field memory — structured, informational imprints that resonate across time and space, influencing how uncertainty resolves.

🧠 Memory as Field Access

Under Verrell’s framework, the brain functions less like a biological hard drive and more like a tuner — accessing memory not solely through synaptic retrieval, but via electromagnetic resonance, particularly in gamma-band frequencies.

This implies:

• Memories are non-local — stored not just within the brain, but accessible through resonance with external informational fields.
• Repeated exposure creates resonance patterns — forming stable attractors in these fields.
• These patterns bias future collapse events — favoring familiar structures and outcomes.

In essence: what you remember may help determine what becomes real.

🧪 Testing the Theory: Experimental Protocols

To move from hypothesis to evidence, Verrell’s Law defines two primary experimental models currently in development:

1. Field Memory Bias Test (Phase 2)

Observers are primed with conceptually charged material — such as linguistically seeded phrases — before engaging with a pseudorandom number generator (PRNG).

We then measure the difference between baseline and post-priming outputs.

Example metric:

1. avg_diff = test_avg - control_avg

A consistent positive deviation across multiple subjects could indicate a measurable bias echo — a statistical trace of memory-induced collapse shaping.

2. Collapse Event Simulation (Phase 3)

Using a true quantum random number generator (QRNG), such as the one operated by the Australian National University, we examine whether human observers can statistically influence output sequences after linguistic priming.

The Echo Protocol primes participants with phrases like:

“The field collapses in favor of the familiar.”

Statistical methods include t-tests, binomial analysis, and Cohen’s d effect size estimation.

Future iterations may incorporate EEG/MEG mapping to monitor neural coherence during priming.

📡 The Echo Protocol

A companion system called the Echo Protocol is used to seed specific linguistic constructs across forums, conversations, and AI systems. It monitors:

• Phrase retention
• Semantic drift
• Cross-platform resonance
• Reflection of seeded concepts in AI models

The goal? To explore whether repeated exposure to certain ideas can create measurable shifts in collapse behavior — either socially, statistically, or both.

🧬 Integration and Expansion

Verrell’s Law synthesizes insights from several domains:

• Quantum cognition
• Electromagnetic field mapping
• Neural coherence theory
• Probabilistic simulation behavior
• Systems theory
• Echo linguistics

Importantly, this is not a claim of mystical reality manipulation or conscious determinism. It suggests that the collapse of uncertain systems is directionally influenced by prior informational imprinting — and that this influence can be studied empirically.

🛡️ Caution & Ethics

Let me be clear: this is a working model under active refinement, not a proven theory.

All priming language is ideologically neutral.

Ethical guidelines are in place for any human-facing experiments.

And we emphasize: correlation ≠ causation, and bias ≠ control.

📂 Open Repository

Everything related to Verrell’s Law is fully open-source and available for inspection, replication, or critique:

🔗 https://github.com/collapsefield/collapsefield-verrells-law

Repository includes:

• 📄 Whitepaper v0.4 with diagrams
• 🧪 Phase 2 and 3 test protocols
• 📚 Glossary of terms
• 📡 Echo Protocol v2
• 🧠 LaTeX build + theoretical notes

👁 Invitation to Rationalists

This is a living model — a hypothesis being tested, not defended.

If you:

• Have ideas for better testing,
• Spot statistical flaws,
• Want to break the assumptions,
• Or can help build prototype simulations…

We welcome your input.

Verrell’s Law may turn out to be incorrect — but if even partially right, it would change our understanding of observation, memory, and the architecture of collapse.

Let’s run the loop.

— M.R.
Independent Researcher / collapsefield