Educational companion dossier · Fact, interpretation, lived experience, clinical education, fiction, and mechanics are labeled separately. Scope & safety
PsychologicalWar.orgPeople before labels.
REAL-WORLD INTERPRETIVE

SIMULATION LITERACY

Population Data and Human-Impact Ethics

A person-first standard for using population, mobility, health, infrastructure, and vulnerability data in consequential models.

Read the working brief Choose a learning path
LEVEL 1

ORIENTATION

Why this matters

REAL-WORLD INTERPRETIVE

One-sentence brief

Aggregates can support preparedness and fairness analysis, but they can also turn communities into target density, erase unequal exposure, or stigmatize identity groups.

REAL-WORLD INTERPRETIVE

Three key points

  1. People are not interchangeable points or demographic risk multipliers.
  2. Minimum necessary resolution protects privacy and dignity.
  3. Distributional outcomes, remedy, and community review matter more than one total impact number.
LEVEL 2

WORKING BRIEF

Evidence, context, and limits

REAL-WORLD INTERPRETIVE

Purpose limitation

Collect and model population data only for a declared educational, preparedness, access, or fairness purpose. A useful variable in one context may be discriminatory or dangerous in another.

  • Document purpose and prohibited reuse.
  • Do not repurpose health or identity data for suspicion.
  • Review downstream sharing.
REAL-WORLD INTERPRETIVE

Aggregation and heterogeneity

A regional average can hide overcrowding, disability access, informal work, displacement, caregiving, transport dependence, and uneven service capacity.

  • Report distribution and worst-affected cohorts.
  • Avoid ecological inference about individuals.
  • Include qualitative context.
REAL-WORLD INTERPRETIVE

Privacy and re-identification

Fine spatial and temporal data can reveal homes, routines, clinics, shelters, or vulnerable groups even when names are removed.

  • Use minimum necessary granularity.
  • Assess linkage and re-identification risk.
  • Suppress or generalize sensitive locations.
REAL-WORLD INTERPRETIVE

Language and dignity

Terms such as load, loss, density, compliance, and casualty can distance readers from lived experience. Use clear technical language while acknowledging people, rights, uncertainty, and recovery.

  • Avoid dehumanizing shorthand.
  • Distinguish statistical estimate from individual fate.
  • Include support and remedy where relevant.
REAL-WORLD INTERPRETIVE

Distributional ethics

A policy that improves the average may harm one region, disability access mode, language community, or low-resource cohort.

  • Set minimum cohort gates.
  • Investigate intersectional harm.
  • Do not trade basic access for aggregate efficiency without accountable review.
REAL-WORLD INTERPRETIVE

Participation and correction

Affected communities, regional experts, public-health professionals, accessibility reviewers, and privacy experts should be able to challenge categories and assumptions.

  • Publish correction routes.
  • Compensate lived-experience review.
  • Record unresolved disagreement.
LEVEL 3

COMPLETE DOSSIER

Limitations, game links, and review context

DISPUTED / MULTIPLE ACCOUNTS

Known limitations and gaps

  • This is a non-operational educational transformation: it does not build or implement a game, executable simulator, forecasting service, emergency tool, or decision system.
  • This page is an educational transformation of supplied research leads; it does not authenticate every citation, equation, product claim, or institutional attribution in those files.
  • A scenario, model run, or map is not an observation, forecast, legal finding, public-health instruction, emergency warning, or proof of future behavior.
  • No source code, nuclear-effects formula, casualty calculation, target-selection method, cyber-intrusion procedure, exploit chain, or instruction for bypassing safeguards is published.
  • Geography, nationality, ethnicity, religion, language, migration, disability, health, poverty, or political identity are not inherent danger, compliance, intelligence, competence, or worth variables.
  • Specialist scientific, public-health, accessibility, legal, regional, ethics, security, and lived-experience review remains pending; the page stays open to correction.
LEVEL 4

RESEARCH EDITION

Sources, methods, and stable links

REAL-WORLD INTERPRETIVE

Linked reports

  • Building a NUKEMAP CloneProtected research reference; no public report route in this release.
  • Building Epidemiological ModelsProtected research reference; no public report route in this release.
  • Planetary Simulation Game ArchitectureProtected research reference; no public report route in this release.
REAL-WORLD VERIFIED

Method and corrections

This page follows the public method for provenance, confidence, source independence, alternative accounts, limitations, review state, and visible correction.

Read the methodView corrections
NEXT

CONTINUE

Related learning

Simulation LiteracyAccessibility, Performance, and Low-Bandwidth ReviewA standard for making complex maps and simulations inspectable without high-end hardware, constant broadband, motion-heavy 3D, color-only encoding, or inaccessible controls.Simulation LiteracyAgent-Based, Compartmental, Cellular, and Network ModelsA comparative guide to four common model families and the kinds of heterogeneity, interaction, and uncertainty each preserves.Simulation LiteracyCalibration, Validation, and SensitivityHow to tune a model, test it against evidence, and reveal which assumptions drive its conclusions.Simulation LiteracyCompetitive AI Spread as a Fictional ScenarioA non-operational way to use a helpful-versus-harmful AI scenario to examine network assumptions, patching, uncertainty, governance, and recovery. Learning pathResponsible High-Consequence ModelingExamine population dignity, hazard communication, outbreak-model interpretation, fictional AI propagation, deterministic authority, and accountable correction without operational enablement.