Evidence & uncertainty

Human Scale Evidence Atlas

What do we actually know, what do we merely suspect, what do we value, and what are we choosing politically?

17 chapter audits completed. Now the hidden assumptions between chapters go under pressure.

The method

Human Scale contains empirical claims, design hypotheses, moral commitments, and political proposals. The Atlas breaks them apart so they cannot borrow certainty from one another.

Strong evidence

Consistent support

Substantial support for a narrowly stated claim; implementation can still fail.

Moderate

Credible direction

Causality, magnitude, population, dose, or implementation remains uncertain.

Hypothesis

Worth testing

A plausible mechanism that must remain vulnerable to domain-specific failure.

Value / proposal

A choice

Evidence constrains it. Science alone does not decide what society ought to value.

Research rule: evidence → inference → values → political mechanism. Then state what result would make us change our minds.

All 17 chapter audits

Cross-cutting audits

These pressure-test assumptions that recur across several chapters.

Corrections that now define Human Scale

Novel ≠ harmful

Mismatch is a question to test.

Small ≠ good

Scale follows the function.

Local ≠ sustainable

Food, energy, and community are judged by outcomes.

Open ≠ automatically free

Security, support, complexity, capability, and exit all count.

Belonging ≠ captivity

Rights, privacy, and practical exit are part of care and community.

Independence ≠ no support

Tools, assistance, care, and accommodations can increase autonomy.

Age ≠ capability

Functional ability and preference matter more than chronological shortcuts.

Walkability ≠ access

Walking is one useful mode inside a broader mobility portfolio.

Procedure ≠ waste

Some friction protects rights, safety, accuracy, and appeal; unjustified burden should still be removed.

AI exposure ≠ job loss

Tasks, jobs, transformation, automation, and displacement are different outcomes.

What would make the project lose?

Supposed mismatch effects disappear under stronger designs.
Favored smaller or local systems underperform without gains in agency, resilience, rights, or accountability.
Favored interventions create larger safety, maintenance, exclusion, financial, accessibility, or ecological burdens than benefits.
People with meaningful choice repeatedly prefer arrangements the doctrine predicts should be worse while achieving equal or better outcomes.
A policy aimed at vulnerable people predictably narrows their real choices.
AI, health, education, media, mobility, or accessibility systems outperform Human Scale's preferred alternatives on real outcomes without hidden dependency or rights costs.
Better evidence contradicts an evidence grade published here.
Human Scale begins treating its moral or spiritual commitments as evidence immune to criticism.
A doctrine that cannot lose an argument is not learning.

The next frontier

Next cross-cutting targets: ownership & automation distribution, local resilience & disaster response, AI companionship & relational dependence, and a direct audit of the Human Scale Audit scoring model.

The implementation frontier remains just as important: outside criticism, outside experiments, public failures, and the first San Diego implementation receipt.

Try to break a claim → · Submit evidence or a counterexample → · Run an experiment →

The purpose

Human Scale should be allowed to have convictions. It should not be allowed to hide uncertainty.