Frame the decision
Define reader, operating decision, geography, cohort, period, and what would change the answer.
Noindex pending exact-claim approval.
The research system keeps official records, first-party operating data, interviews, and directional web signals in their proper lanes. A polished page never upgrades weak evidence.
Evidence-backed review drafts move through the content contract and approval system. A finished local page is still not authorization to publish it.
Define reader, operating decision, geography, cohort, period, and what would change the answer.
Classify official records, first-party operating data, interviews, public web evidence, and directional signals separately.
Keep denominators, event definitions, exclusions, status, and source dates attached.
Plan tables, charts, maps, source captures, captions, mobile behavior, and accessible data before prose.
Check evidence IDs, privacy, rights, limitations, local difference, and buyer value against exact candidate bytes.
After approval only: deploy, inspect the live route, rerun browser QA, and confirm the public artifact.
Triangulation improves confidence only when sources are genuinely independent and their coverage is understood.
May lag, duplicate, or describe paperwork rather than outcomes.
Requires event definitions, privacy controls, and comparable cohorts.
Recall and selection bias prevent unsupported prevalence claims.
A website flag is not proof of revenue loss or business behavior.
Normalized interest is not demand volume, bookings, or causality.
The boundary travels with the reading. It is not buried in a generic disclaimer.
Employee survey estimate. Excludes self-employed workers and employer burden.
Administrative authorizations. Not starts, electrical scope, awards, or revenue.
Active licenses and business addresses. Not unique brands or market share.
Directory-derived automated screen. Not a census or outcome study.
Event reports can duplicate episodes and do not measure electrical calls.
ERCOT-wide forecast. Not DFW-specific service-upgrade demand.
Official sales disclosures. Not DFW unit economics or profitability.
Product mechanics. No DFW booked-job cost or margin.
These remain collection requirements, not placeholders to fill with model-generated estimates.
No eligible 42-shop dataset exists.
Requires dated role-level vacancy cohorts and stable definitions.
Requires opportunity-level timestamps, comparable jobs, and outcomes.
Requires normalized completed invoices with scope and jurisdiction.
Requires time diaries and an explicit value-of-time policy.
Requires spend, credits, attribution, bookings, collected revenue, and crew capacity.
Requires a stable local universe and comparable outlet financials.
Requires a real engagement, preregistration, consent, and approved records.
The manifest currently preserves 11 raw files with byte counts and SHA-256 hashes. A hash establishes byte identity—not source correctness, publication rights, or interpretive validity.
1da3e401…c10c2fb14,013 rows; 2,956 in frozen DFW frame; 19 blank business counties; no duplicate license numbers.
adb0a2df…105d11c59Final annual CBSA file used for 66,179 authorized units.
Manifested raw filesFiltered to Collin, Dallas, Denton, and Tarrant; rows are not unique storms or jobs.
Illustrative values define the intended page without masquerading as research.
Claims and assets are bound to evidence, but public approval has not been granted.
Exact bytes were approved, deployed, and checked at the live URL.
The hub connects the market pillar, flagship reports, field notes, quarterly brief, and this methodology.
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