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Methodology

Published Verasight source reports are the canonical record. The Data Library presents key findings from them.

Featured topics
61
Indexed questions
1,228

Vocabulary

The editorial primitives

CategoryThe top-level grouping: AI & Tech, Money & Finance, Politics, Health, Culture, Sports. An editorial taxonomy on top of the data, not a Verasight module name.
Featured topicA curated narrative built from multiple supporting questions in one or more waves. The main editorial unit on site.
Indexed questionA canonical question not absorbed into a published featured topic. It stays browseable and searchable on its own, lighter page.
Supporting dataUnderlying questions, crosstabs, methodology notes, and source-report links that justify a featured topic's story, charts, and layout.

Pipeline

Six stages from raw wave to canonical library

01 · IngestRaw Verasight files (.sav, .csv, .dta, .rds, .xlsx) become long-format tables with metadata sidecars.
02 · NormalizeNull handling, PII scrub, demographic normalization, and respondent context propagation.
03 · WeightRow-level weight validation and reusable weighted summaries.
04 · CrosstabBanner and demographic breakdowns with low-N flags and canonical dimension names.
05 · EnrichQuestions package into a wave-scoped bundle with toplines, crosstabs, methodology, citation, and slug.
06 · EmitCanonical question JSON, per-question CSV, per-wave summary, and a site-wide index.

Each stage owns one job and writes a checkable artifact; a failure halts the run with a descriptive error. Curation happens after, on committed artifacts, and always passes human review.

Publication

How canonical data becomes a published page

Canonical layerOne JSON and one CSV per question, plus a per-wave summary and a site-wide index. Stable contract, regenerable from raw inputs.
Curation layerCategory mappings, topic proposals, and curated featured topics commit on top of the canonical layer as tracked artifacts.
Publication layerThe site reads committed artifacts. Published featured topics drive the home, category, and search surfaces.

A question absorbed into a published featured topic never duplicates as a standalone page — indexed-question pages are exactly the questions not absorbed.

Sources

The canonical source is the report

Canonical destinationreports.verasight.io is the canonical hub. Each page links to its verified report; older reports may remain on legacy hosts.
Question-level citationVerified question anchors where the source report supports them; report-granularity waves link to the report root; unpublished sources remain visibly pending and unlinked.
Raw data on siteV1 does not surface raw downloads on site. Per-question CSVs are emitted by the pipeline and remain a future on-site surface.
TransparencyField methodology and weighting design are attributed to Verasight upstream in each source report.

Citations

Citing the data library

Every topic and question page includes a copy-ready citation naming the survey, field dates, unweighted base, and margin of error. The standard format:

llms.txtRoot-level index for LLM crawlers.
.md mirrorsEvery page has a markdown mirror for clean machine citation.
JSON-LDDataset and FAQPage schema on relevant pages.
robots.txtAllow-all. The library wants to be cited.

Citation format

Verasight [survey name], fielded [dates], N=[base] US adults age 18+, +/- [margin of error].

https://data.verasight.io/money/americans-say-economic-system-rigged-to-favor-the-wealthy/

Upstream

How we collect data

Every finding in the Data Library comes from a survey fielded on the Verasight panel. Panelists are recruited through random address-based sampling, random person-to-person text messaging, and dynamic online targeting. We do not use opt-in river samples, and every respondent is verified before joining the panel.

Weighting

Weighting and estimates

Results are weighted to benchmarks for the U.S. adult population from the Census Bureau's Current Population Survey, covering age, gender, race and ethnicity, education, and region, plus partisanship. Reported margins of error reflect a 95% confidence interval and account for the design effect of weighting.

Fields

What every page reports

ModeHow the survey was administered and how respondents were recruited
PopulationThe population the estimate represents, e.g. US adults age 18+
Field datesThe dates the survey was in the field
Base (unweighted)The unweighted number of respondents asked the question
Margin of errorThe 95% confidence interval for full-sample estimates
Weight variableThe survey weight applied to all reported estimates
ModuleThe omnibus module (respondent subset) the question was asked in

Transparency

Transparency

Verasight is a member of the AAPOR Transparency Initiative. Full question wording, topline results, and methodology reports for every survey in the library are published at reports.verasight.io.

Open Verasight reports ↗