Volume 8, Issue 1

Schrödinger's Normal: A Quantum Analysis of Neurotypical Expectations

Axel Andersen5 January 20253 pages108 KB

Abstract

'Normal' is a neurotypical ideal that collapses under observation, much like a quantum particle—or a government budget forecast. This study explores the paradox autistic people face when evaluated by neurotypical standards: the requirement to be simultaneously normal enough to be unproblematic and disabled enough to justify support. We term this phenomenon Schrödinger's Normal.

Full Article

3 pages

A satirical-serious conceptual analysis of normality, administrative convenience, and the authoritarian urge. This article examines how disability rights are systematically deprioritised in moments of democratic stress, functioning as a canary in the coalmine for broader erosions of rights and protections.

The Stillness Industrial Complex: Why Neurotypicals Don't Stim (In Public), and Why They Police Ours

An investigation into the perplexing absence of visible stimming among neurotypicals and the parallel enthusiasm for suppressing other people's stimming. Findings suggest neurotypicals do stim, but in camouflage (leg bouncing under tables, cuticle excavation, marathon 'coffee walks'). Visible, joyful stimming is reclassified as 'disruptive' because it fails the national test of Professional Statuesque—the belief that stillness equals competence and vibration equals mutiny.

The Incident Economy: Why Nothing Happens Until the Night Before Court

Bureaucratic systems love numbers the way magpies love shiny things. This article presents the Court-Eve Activation Effect (CEAE): a reliable surge in administrative competence precisely one sleep before a final hearing. We also formalise the Funding-Evidence Treadmill (FET): when resolution requires government funding, action is deferred pending 'more evidence'—which means more incidents and escalated harm—until the night before court, when the evidence abruptly becomes 'compelling.'

Vol. 520

The Administrative Danger Response: A Systems-Level Model

Axel Andersen1 Nov 20246 pages

A satirical but clinically observable model describing how Australian systems: (1) deny complexity, (2) demand simplistic fixes, (3) moralise biology as laziness, (4) blame disabled people for macroeconomic events, and (5) generate revenue streams from the resulting distress. Findings suggest ADR is self-sustaining and resistant to evidence, particularly when the evidence contains 'trigger words' such as metabolism, inflammation, disability, environment, or accountability.

Read article →PDF • 136 KB

Vol. 14, No. 1

The African Sex Safari Fallacy: A Neurotypical Projection Error in Disability Expenditure Discourse

Axel Andersen15 Oct 20246 pages

Public discourse surrounding disability expenditure frequently invokes images of excess, indulgence, and moral risk. Using media analysis, policy review, and comparative cognitive prioritisation modelling, we demonstrate that the 'African Sex Safari' fantasy is not rooted in disabled experience, but reflects a neurotypical projection error. Empirical indicators show disabled aspirations are overwhelmingly focused on accessibility, housing, health stability, and survival logistics.

Read article →PDF • 172 KB

Vol. 9, No. 1

Pollute the World, Deny the Damage, Cut the Supports

Axel Andersen AI Assisted12 Mar 20267 pages

This paper advances one of the most significant findings in Neurotypical Studies to date: the same society capable of profiting from environmental harm, denying its effects, and misreading distress as 'behaviour' will then present disabled people as the real budget problem. The pattern was never hidden—it was visible the entire time. The paper focuses on Super Autism: those hit first by environmental harm, speaking first through distress, behaviour, overload and physiological collapse, and listened to last. If a system helps create the conditions of harm, ignores the earliest signals, and then blames the harmed for the cost of surviving it—the problem is not the disabled person. The problem is the system.

Read article →PDF • 273 KB

Vol. 2, No. 2

Closing the Distance: Explainable AI for Diagnosing Neurotypicality in Disability Assessors

Axel Andersen10 July 202410 pages

This paper proposes a complex machine learning framework to diagnose high-risk neurotypicality in clinicians, bureaucrats, data scientists and 'innovation leaders' involved in algorithmic disability assessment. We hypothesise that the urge to algorithmically contain disabled people functions as a psychological distancing technology—allowing professionals to comply with policy without risking actual relationship. Our TabPFN-NeuroMix model outputs a Neurotypicality Proximity Avoidance Index (NPAI) with explainability via SHAP, repurposed as Shapley Ableism Partitioning.

Read article →PDF • 188 KB