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About the evidence

Methodology is part of the product

Bay Evidence is designed to show how information was produced, what population it covers, what it can support, what it cannot support, and when comparison across time or place becomes unsafe.

Evidence hierarchy

Tiers describe evidentiary role, not moral worth. Administrative data, scholarship, journalism, and lived-experience evidence answer different questions and should be triangulated rather than flattened into one credibility score. Evidence tier and source type are separate fields: a source can be Tier D and investigative journalism, or Tier A and a court order, without collapsing those concepts into one badge.

The critical source landscape applies this rule to the federal, California, academic, advocacy, provider, legal, journalism, and international resources Bay Evidence monitors.

◆ Tier A
Primary evidence
Counts, budgets, contracts, program outputs, official findings, methodology, legal text, and documented administrative failures.
◆ Tier B
Peer-reviewed empirical research
Causal inference, epidemiology, mortality, behavioral health, aging, housing trajectories, victimization, service access, and longitudinal analysis.
◆ Tier C
University and institutional research
Structural interpretation, policy design, regional comparison, hypothesis development, and competing institutional frameworks.
◆ Tier D
Accountability and explanatory journalism
Chronology, implementation, local accountability, institutional consequences, interviews, and public-record leads.
◆ Tier E
Documentary, audio, video, and first-person evidence
Environmental observation, institutional culture, lived experience, spatial analysis, rhetoric, and longitudinal narrative evidence.

Never collapse stock, flow, inflow, and durable exits

PIT stock
How many people were identified as homeless on one specified night?
A one-night estimate is not the number of distinct people who experience homelessness during a year.
HIC capacity
What shelter and housing inventory was available on the inventory date?
Inventory does not establish actual utilization, quality, eligibility, or durable outcomes.
HMIS / service-system flow
How many people interacted with participating homelessness services over a period?
Service-system data exclude people who never interact with participating programs and can be affected by data quality and coverage.
Inflow
How many people newly entered homelessness during the period?
First-time-system contact is not always identical to first lifetime homelessness.
Durable exit
How many people entered stable housing and remained housed over a meaningful follow-up interval?
Placement without retention follow-up is an incomplete outcome measure.

Cross-sectional versus longitudinal evidence

Cross-sectional studies describe people observed at a point or period. They are powerful for prevalence, characteristics, and associations, but can overrepresent people with long-duration episodes. Longitudinal studies follow people through time and are stronger for trajectories, exits, returns, and temporal ordering. Bay Evidence will not describe CASPEH as longitudinal; its findings must be read with its cross-sectional design and duration-bias caution intact.

Conflicting sources

When credible sources disagree, Bay Evidence should display the disagreement, definitions, universes, dates, and methodological differences. It should not silently select the more convenient number. A conflict can be evidence about measurement architecture, not merely an editorial inconvenience.

Bibliographic verification

Every citation used in original Bay Evidence research is checked against a stable publisher, journal, court, agency, or institutional record before publication. Candidate citations that cannot be verified as written are excluded from the authoritative bibliography and are not used to support published claims.

Editorial verification notes belong to the research process, not automatically to the finished publication. If a citation is corrected, replaced, or removed after publication, the material change is dated in the public corrections ledger and the affected report version is incremented.

Evidence Desk inclusion rule

A development belongs in the Bay Evidence Desk only when it materially bears on housing loss, homelessness response, displacement, or the fiscal, legal, administrative, health, or service systems governing those issues in the nine-county Bay Area. Broader state or federal developments are included only when the Bay Area relevance is explicit and documentable. General political news does not enter the Desk solely because it concerns government power or public administration.

Data quality states

CURRENT

Verified and methodologically comparable for the intended use.

CURRENT_PROVISIONAL

Recent and useful, but subject to revision.

STALE

Still useful historically, but should not be presented as current.

METHOD_BREAK

Comparison across periods requires adjustment or explicit qualification.

PARTIAL_COVERAGE

The data universe excludes part of the target population.

CONFLICTED

Credible sources materially disagree.

SOURCE_NEEDED

A claim exists but adequate documentation has not been located.

UNDER_REVIEW

Discovered or ingested, but not cleared for authoritative use.

Link audit policy

The source ledger distinguishes live, platform-unverified, fetch-limited, and moved-or-unconfirmed destinations. “An automated agent could not retrieve this page” is not logically equivalent to “the source is dead.” Constrained sources remain visible with their status and are not silently removed.

Version control and corrections

Important metrics should expose source date, publication date, retrieval date, geography, population universe, methodology version, known exclusions, missingness, revision history, comparability warnings, review status, and verification status. Corrections should be public and dated. Changes in counting method, eligibility, geography, or administrative coverage must be treated as potential method breaks rather than invisible footnotes.