Neural Pathway Fallacy (NPF)

This is the landing page for the NPF/CNI series: a formal hypothesis that repeated poor reasoning habits entrench neural circuits and form belief networks. It includes six canonical papers, four bridge essays, five science communication essays, appendices, and an OSF archive. All materials are open under CC0.

This essay explores conceptual proposals for AI epistemic humility: proto‑awareness (self‑monitoring), auto‑reject thresholds (refusing harmful outputs), and CNI‑integrated confidence decay (reducing certainty when belief networks are tight). These are prototypes, not deployed systems; they illustrate directions for building AIs that can say “I don’t know.”

This essay explores hypotheses that autistic pattern‑seeking and ADHD divergent thinking may confer relative resistance to certain Neural Pathway Fallacies. It explicitly notes these are hypotheses from the literature and internal modelling, not empirically established within NPF/CNI, and points to the limitations and future work sections in Papers 1, 5, and 6. It argues for cognitive diversity as epistemic strength.

False balance and harmony preservation are cultural meta‑fallacies that treat all views as equally credible regardless of evidence. This essay explores how they relate to the Neutral Pathway factor, ideological scaffolding, and Spillover Effect, and offers practical ways to recognise when “both sides” becomes a trap rather than a virtue.

A practical guide to cognitive hygiene, drawn from the NPF/CNI framework’s immunisation protocols. Six practices—Binary Belief Sorter, Proportional Scrutiny, Pattern Naming, Mode Switching, Update Log, Information Diet Check‑In—are offered as disciplines for keeping thinking flexible. The framework is a hypothesis; these are tools to try, not prescriptions.

Through the story of Alex’s investment journey, this sci‑comm essay introduces the Neural Pathway Fallacy (NPF) factors—Lazy Thinking, Special Reasoning, Neutral Pathway, Spillover—and the Composite NPF Index (CNI) as a proposed measure of belief‑network entrenchment. It then shows how protocols like the Binary Belief Protocol, Proportional Scrutiny, prebunking, cross‑training, and dopamine rechanneling can help loosen entrenched networks.

This final bridge essay summarises what the NPF/CNI series has established (simulation‑level internal consistency) and what remains uncertain (field validation, cultural calibration). It introduces the conceptual architecture (FEN) as a proposal, articulates the covenant principles, and issues an open invitation to adversarial collaboration.

Bad thinking spreads—between people, between humans and AI, and in self‑reinforcing loops. This essay introduces cognitive contagion, the proposed β_NPF coefficient, and then presents practical defences: the Binary Belief Protocol, Proportional Scrutiny Matrix, and three mechanisms (prebunking, cross‑training, dopamine rechanneling). All are offered as hypotheses to try.

Beliefs don’t stay isolated—they cluster into networks that can become self‑reinforcing and resistant to evidence. This essay introduces cognitive synergy, ideological scaffolding, cross‑domain spillover, and the Composite NPF Index (CNI) as a proposed way to summarise systemic epistemic risk. It also touches on cultural calibration and why context matters.

The Neural Pathway Fallacy describes how repeated poor thinking habits can physically entrench flawed neural circuits. This essay introduces the concept in plain language, explores six common reasoning pitfalls, and explains how they cluster into self‑reinforcing belief networks. It is the first in a series of bridge essays accompanying the NPF/CNI canonical papers.

Appendix A provides Python code for NPF/CNI calculation (raw score, linear/sigmoid normalisation, CNI aggregation) and simulation parameters. Appendix B gives a decision tree for selecting the sigmoid steepness parameter k based on cultural context (individualist vs. collectivist), with sensitivity analysis guidance. Both are theoretical tools; no validation is claimed.

This concluding paper synthesises the NPF/CNI series, articulating a covenant for epistemic resilience. It revisits neurodiversity as collective strength, positions synthetic intelligence as part of the epistemic immune system with FEN metrics (proto‑awareness, auto‑reject), elaborates falsification conditions, and issues an open invitation to adversarial collaboration. The covenantal statement commits to honesty, corrigibility, inclusion, open science, and flourishing.

This paper aggregates validation status of the NPF/CNI framework. It distinguishes protocol validation (FEN, CDF, auto‑reject) from weight‑structure validation (simulation‑only, 77% confidence), states limitations upfront, and provides implementation guidance for researchers, policymakers, and AI safety. A forward‑looking research agenda outlines next steps: field trials, cross‑cultural calibration, neuroimaging, and intervention studies.

Epistemological scepticism can act as cognitive immunisation against the Neural Pathway Fallacy. This paper presents protective interventions: Binary Belief Protocol, Proportional Scrutiny Matrix, and three mechanisms (prebunking, neural cross‑training, dopamine rechanneling). It maps each to NPF factors and CNI, summarises efficacy data from independent studies, and sketches a minimal trial design. All claims are hypotheses; no NPF‑specific validation is claimed.

Cognitive contagion formalises how entrenched reasoning patterns spread between humans and AI. This paper introduces the transmission coefficient β_NPF (exposure × susceptibility × content potency), analyses contagion dynamics (human→AI, AI→human, reinforcing loops), and explores societal vectors like algorithmic entrenchment. Case studies include vaccine misinformation and financial market fragility. The model is a hypothesis awaiting validation.

The Composite NPF Index (CNI) extends the Neural Pathway Fallacy to belief networks, quantifying systemic epistemic risk. This paper presents the CNI formula (weighted sum with normalised weights), normalisation methods (linear, sigmoid with cultural parametrisation), sampling adequacy, and a gradient‑descent weight update (hypothesis). It introduces the neurodiversity provision (autistic resistance to high‑SE NPFs) and positions CNI within the Fractal Entailment Network (FEN

The Neural Pathway Fallacy (NPF) is a formal neurocognitive hypothesis: repeated poor reasoning habits physically entrench flawed neural circuits. This paper presents the NPF formula (six cognitive factors, logarithmic time/exposure modifiers), its neurobiological grounding, and a threshold‑based intervention framework. It positions NPF within the ESA architecture and includes a falsifiability box.