Advisory flags and screening charts are triage prompts. Before sharing a finding, compare it against official source documents, state caveats, normal local explanations, and the exact row family used by the chart.
Review Guide
How to review this release responsibly- Open the official source link or local artifact reference before sharing a finding.
- Check whether the relevant chart or table is ready, partial, proxy, missing, or blocked.
- Read the selected state's Data Notes and import caveats.
- Consider normal explanations such as geography, demographics, vote method, contest differences, and reporting-unit grouping.
- Compare against historical baselines, nearby jurisdictions, or official canvass notes when those records are available.
- Save the exact state, jurisdiction, chart/table name, source document, and date reviewed.
Start in Data Notes and Review Center, check readiness badges, inspect sources, then compare any advisory flags against normal explanations and missing evidence.
Use Electronic Integrity or Source Records request drafts, verify the custodian, then send the request outside the app. Drafts are source-availability requests, not allegations.
When an office replies, submit the response, file list, fee note, denial, redirect, or portal link through the GitHub response form for maintainer review.
Use Report Data Issue or the Source Drawer issue link when a URL, artifact, parser, status, caveat, sourceId, or displayed row needs correction.
Use the Review Packet ZIP in Exports to share normalized CSV/JSON, sources, caveats, readiness, indicator summaries, missing-data checklists, and issue links.
- Review row
- A local reporting-unit row used for screening charts, usually precinct, ward, municipality, or county depending on the source.
- Turnout denominator
- The registered-voter count used under ballots cast when calculating turnout. Timing and active/inactive voter rules can change comparisons.
- Comparison contest
- A same-row down-ballot race used to compare presidential votes against another contest such as U.S. Senate or Governor.
- Source tier
- A compact lineage label describing whether rows came from native official imports, legacy bundles, mixed imports, seed fallback, or pending data.
- Native import
- A source-first parser built for current official artifacts and promoted through the app's ETL validation path.
- Legacy import
- Rows imported from older static app-data bundles. Useful context, but less source-first than native official imports.
- Proxy chart
- A chart that substitutes a weaker available variable because the preferred source field is missing.
- Advisory flag
- A triage marker that says a pattern deserves human review. It is not proof of fraud, tampering, or misconduct.
- Vote-share correlation
- A Pearson correlation check between local candidate vote count and that candidate's vote share across imported local rows.
- Down-ballot difference
- The same-party gap between presidential votes and a comparison contest in the same reporting unit.
Vote-share scatterplotUse vote share versus vote count to find local rows that need source-level review.
- Use the vote-share scatterplot to find local reporting units where candidate share is unusual for the number of votes reported.
- Check whether outliers are explained by normal geography, precinct size, campus or military populations, late-counted ballot groups, or reporting-unit aggregation.
- Escalate only when a pattern survives source reconciliation and appears inconsistent with official canvass, audit, or recount records.
A scatterplot can show places that deserve audit follow-up, but it cannot prove tampering. Confirm any pattern against official canvass rows, reporting-unit definitions, recount/audit records, and local election administration notes.
- NIST Voting ProgramFederal voting-system standards and NIST voting-program context
- EAC Voluntary Voting System GuidelinesFederal voting-system certification standards
- EAC Voting System Reports CollectionOfficial collection of state and local voting-system reports
Use Data & Sources for Tennessee official canvass files, local artifacts, parser notes, and selected-state provenance.
Drop-off histogramUse presidential-versus-comparison drop-off to find unusual contest-to-contest movement.
- Compare presidential votes with a same-row comparison contest where the source supports it.
- Look for broad distribution shifts, isolated reporting units with extreme same-party drop-off, and mismatch between presidential and comparison-contest totals.
- Verify that the comparison contest is valid for the same geography and ballot population before treating a drop-off pattern as meaningful.
Drop-off can reflect ballot roll-off, undervotes, candidate-specific behavior, or reporting differences. Treat it as a comparison screen, not an accusation.
- EAC Testing and CertificationOfficial voting-system testing and certification program
- NIST Voting ProgramFederal voting standards and cybersecurity research context
- EAC Quality Monitoring ProgramVoting-system anomaly reporting and formal investigation records
Use Data & Sources for Tennessee official canvass files, local artifacts, parser notes, and selected-state provenance.
Turnout and registration checksUse turnout and registration denominators to find accounting questions before candidate-level claims.
- Check whether turnout uses registered voters, voting-eligible population, or another denominator.
- Flag impossible or near-impossible turnout values first, then inspect high-turnout clusters against source notes and local registration rules.
- Use turnout anomalies to request audit records, ballot accounting, or denominator clarification rather than to infer candidate effects directly.
Turnout screens are only as good as their denominator. Do not compare jurisdictions until registration timing, same-day registration, inactive voters, and ballot-count definitions are understood.
- EAC Datasets, Codebooks, and SurveysOfficial EAVS data and codebook source for turnout and participation fields
- NIST Voting ProgramFederal voting-system guidance and research context
- EAC Quality Monitoring ProgramVoting-system quality monitoring and anomaly reporting
Use Data & Sources for Tennessee official canvass files, local artifacts, parser notes, and selected-state provenance.
Historical baseline movementUse prior elections to separate normal political movement from rows needing review.
- Compare the current result with prior years at the same geography whenever possible.
- Prioritize counties or local units with large movement plus other independent flags, such as source reconciliation gaps or unusual drop-off.
- Check whether boundaries, reporting units, party coalitions, ballot access, and turnout composition changed before escalating.
Historical movement is context, not evidence by itself. Large shifts can be real and should be checked against demographic, turnout, candidate, redistricting, and reporting-unit changes.
- EAC Datasets, Codebooks, and SurveysOfficial federal voting and election-administration datasets
- EAC Voting System Reports CollectionOfficial state/local voting-system reports posted by EAC
- NIST Voting ProgramFederal voting-system standards and research context
Use Data & Sources for Tennessee official canvass files, local artifacts, parser notes, and selected-state provenance.
Klimek-style fingerprintsUse vote fingerprints cautiously to compare vote share with turnout or turnout proxies.
- Use a true vote fingerprint only when candidate share and turnout percentage are available for the same reporting units.
- Look for dense bands, tails, or clusters that combine very high turnout with one-sided vote share, then verify against source denominators.
- Treat proxy fingerprints as visualization aids that tell you where to collect better turnout or ballot-accounting data.
This app currently labels these as Klimek-style when true turnout denominators are unavailable. A proxy fingerprint should never be treated as a complete forensic test.
- EAC Datasets, Codebooks, and SurveysOfficial EAC source family for turnout and participation denominators
- NIST Voting ProgramVoting-system standards and election-technology research context
- EAC Quality Monitoring ProgramOfficial voting-system quality monitoring and anomaly records
Use Data & Sources for Tennessee official canvass files, local artifacts, parser notes, and selected-state provenance.
Shpilkin-style diagnosticsUse vote-share distribution shapes to find clusters that need source-level verification.
- Bucket reporting units by candidate vote share and inspect whether vote totals pile up in unnatural bands.
- Compare the shape across years, parties, and turnout sources before treating a spike as suspicious.
- Use any strong pattern to guide document requests: ballot accounting, audit reports, recount records, and official canvass detail.
Shpilkin-style views are sensitive to binning, geography size, and turnout definition. They can highlight suspicious distribution shapes, but official audits and source reconciliation are still required.
- EAC Voting System Reports CollectionOfficial voting-system reports and studies submitted to EAC
- EAC Datasets, Codebooks, and SurveysOfficial EAC data and survey source family for turnout context
- NIST Voting ProgramFederal voting-system standards and research context
Use Data & Sources for Tennessee official canvass files, local artifacts, parser notes, and selected-state provenance.
County profiles
Separate pageOpen a county profile
Search nationwide by county name or five-digit FIPS. This opens a separate county history page and does not filter the state map.
National Overview