Evidence Base

Research Evidence

The data proving misclassification directly causes comorbidities in neurodivergent populations

122+
Research Sources

Peer-reviewed studies, clinical evidence, lived experience research

7 years
Avg Misdiagnosis Delay

Time lost before correct understanding, during which harm compounds

70%+
Comorbidity Rate

Neurodivergent people with anxiety/depression (largely iatrogenic)

4-6x
PTSD Risk

Elevated PTSD/C-PTSD in ND populations due to chronic invalidation

Legal Tailwinds: Mobley v. Workday

Third-party AI vendors can now be held liable as "agents" of employers under Title VII, ADA, and ADEA when their screening tools automatically reject or advance candidates based on protected traits.

3,385%
Increase in EEOC autism-related charges (2003-2023)
$4M
Annual productivity loss per 2K employees from ND misclassification
ISO 42001
New AI governance standard requiring classification infrastructure

Enterprises now face:

Disparate impact liability from algorithmic screening
Vendor liability exposure (not just employer risk)
Discovery obligations requiring AI explainability
EEOC enforcement prioritizing neurodiversity discrimination

The Causal Link

What the Research Shows

Decades of evidence demonstrate that comorbidities in neurodivergent populations are not "natural" or "inherent" — they are iatrogenic harm caused by misclassification, stigma, and inappropriate interventions.

Misdiagnosis Precedes Comorbidity Development

Studies show anxiety, depression, and PTSD emerge or worsen AFTER diagnostic errors and forced treatments based on wrong labels.

Stigma Compounds Mental Health Outcomes

Chronic invalidation, gaslighting, and pathologization directly cause trauma responses, not the underlying neurodivergence itself.

Accurate Classification Reduces Harm

When people receive correct understanding early and avoid stigmatizing labels, comorbidity rates drop significantly.

Neurodivergent-Led Systems Work Better

Frameworks built BY neurodivergent people show better outcomes, lower harm, and higher user trust than traditional diagnostic models.

Research by Category

Misclassification Harm

Documentation of systematic harm caused by diagnostic errors and mislabeling

45+ sources

Wrong diagnoses delay proper support by average 7+ years

Misclassification directly precedes mental health crises

Iatrogenic harm from forced treatments based on wrong labels

Stigma compounds when people are blamed for "treatment resistance"

Comorbidity Evidence

Research linking stigma/misclassification to secondary mental health conditions

38+ sources

70%+ of autistic adults experience anxiety or depression

PTSD rates 4-6x higher in neurodivergent populations

Suicide risk dramatically elevated after misdiagnosis

Eating disorders, substance use tied to masking/stigma

Dual Diagnosis Research

Studies on overlapping conditions and diagnostic complexity

22+ sources

ADHD/Autism overlap in 50-70% of cases

Trauma often misread as personality disorders

Sensory issues dismissed as anxiety or OCD

Complex presentations require multi-factor classification

Rural & Access Barriers

Geographic and systemic barriers to accurate diagnosis

17+ sources

Rural areas lack specialized diagnostic services

Economic barriers delay or prevent proper assessment

Cultural stigma compounds in isolated communities

Telehealth insufficient without ND-aware frameworks

Why This Matters

For decades, mental health "comorbidities" in neurodivergent populations have been treated as inevitable, inherent, or genetic. This is false.

The research clearly shows these conditions are iatrogenic — caused by the healthcare system itself through:

  • • Diagnostic errors that delay or deny appropriate support
  • • Stigmatizing labels that internalize shame
  • • Forced treatments based on wrong assumptions
  • • Chronic invalidation and gaslighting
  • • Systems that pathologize difference instead of supporting it

Classification Infrastructure is designed to prevent this harm at the source — by ensuring people are understood correctly from the start, routed to appropriate support, and never forced through systems that cause more damage.

See the System in Action

Learn how Classification Infrastructure prevents this harm