This chapter goes inside ADHD experience, rejecting the “distracted” stereotype and describing a different architecture of attention governed by salience and time. It explores hyperfocus, paralysis, emotional dysregulation, rejection sensitivity, and what ADHD reveals about motivation and will. It also notes that the NPF/CNI ADHD parameter space is unresolved, and refuses to soften the cost of mismatch.

This chapter goes inside autistic experience, rejecting the “detail‑first” stereotype and describing a different ratio of detail to pattern. It explores sensory processing, systematising, special interests, masking, and what autistic consciousness reveals about integration under constraint. It also introduces the NPF/CNI neurodiversity provision (as a hypothesis) and refuses to soften the real costs of mismatch.

This chapter examines how diagnostic labels operate as stigma‑carrying devices and how the Spillover Effect contaminates credibility across domains. It critiques three dominant narratives (tragedy, superpower, social construction) and uses NPF/CNI to explain why stigma is so resistant to evidence. It connects stigma to epistemic injustice and ends with a personal reflection on the practice of noticing categorical bias.

This chapter deconstructs “normal” as a social and institutional construction, not a biological baseline. It explains why diagnoses have risen (better criteria, reduced stigma, online community, unmasking) and introduces the NPF/CNI Spillover Effect to show how stigma contaminates credibility. It ends with a vision of consciousness as a gradient.

This opening section introduces the book’s authorial stance, the frameworks (GRM, CaM, NPF/CNI), and the five‑part structure. It rejects both tragedy and superpower narratives, offering instead an inquiry into what different bodies and minds reveal about consciousness. The book is written from inside the author’s own neurodivergence, with careful attention to experiences not his own.

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.

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.

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

Bias is infrastructure. SE Press isolates high-CNI claims, tattoos AI bias lineages, and forces adversarial audits. High-risk distortion gets quarantined, decay-tracked, and only the challenge-ready survive. The dark matter of epistemology—now auditable.

Perceptions are not inherently reliable. Only adversarial audit, SI–human review, and protocolled NPF/CNI scrutiny can move a perception toward trust. GRM and SE Press protocols make reliability a process, not a presumption—audited, upgradeable, never given.