The Cost of
Doing Nothing
QuietCost helps municipal decision-makers understand the long-term fiscal consequences of delaying supportive housing interventions for people experiencing chronic homelessness.
11
Datasets Registered
1,000
Monte Carlo Runs
10 yrs
Simulation Horizon
6
Markov States
Net Present Cost of Delay
$12.4M – $18.7M
80% CI · 3-yr delay scenario
Population at Year 10
1,420 – 2,140
Chronic homeless, mid estimate
Intervention Savings
$6.1M – $9.3M
vs. Do Nothing scenario
Projected Annual System Cost — 10yr
How QuietCost Works
A transparent, auditable simulation stack built on peer-reviewed methods — not a black box.
Markov Simulation
6-state discrete-time model with 1,000 Monte Carlo runs — never a single-point forecast.
Cost of Inaction
Quantifies the net present cost of delaying PSH interventions across shelter, healthcare, and justice.
Data Health
Auto-discovers 11 registered datasets. Monitors drift, staleness, and missingness in real time.
Responsible AI
Human-in-the-loop by design. Hard bypasses for stale data. No automated policy decisions.
Range Estimates
All outputs shown as probability ranges — never exact. Invisible population multipliers surfaced.
Decision Briefs
AI-generated plain-language summaries help non-technical policymakers understand the model output.
Responsible AI by Design
QuietCost does not make policy decisions or determine individual eligibility. All projections include uncertainty ranges. The simulator disables itself when data is older than 18 months, missingness exceeds 25%, or population falls below 100. Humans remain responsible for all final decisions.