Backfill and Data Roadmap

From The Founding To The Current Stress Test

The 2016-2026 period should be ranked against the full American record, not treated as a detached emergency. The long-run model needs political history, citizen harm, markets, labor, public finance, crime, courts, schools, media, and state-local data in one audit trail.

The Core Question

Where does 2016-2026 fit against slavery expansion, secession, Reconstruction rollback, Jim Crow, Depression-era institutional response, wartime civil-liberty failures, Vietnam, urban disorder, Watergate, inflation shocks, 9/11, Iraq, the financial crisis, and the COVID shock?

Open the seeded era ranking

Competitive Read

What Stronger Trackers Already Prove

The best public projects usually master one lane: documents, lawsuits, elections, money, or democracy ratings. The Ledger should combine those methods without blurring their evidence standards.

Document databases

ProPublica-style projects win trust by tying people, entities, filings, and documents together. Ledger cards should become stable rows with source IDs, revision IDs, and entity IDs.

Legal trackers

NYT-style, Just Security, Lawfare, Brookings, and Democracy Docket trackers separate action, lawsuit, court, remedy, and status. The ledger needs factual maturity and legal posture as separate fields.

Directional threat trackers

Protect Democracy and International IDEA track democratic movement by event type and guardrail category. The ledger should keep trend direction separate from absolute damage scores.

Democracy indexes

V-Dem, Freedom House, Bright Line Watch, and OWID show the value of component questions, coder uncertainty, and time-series context. Scores should show components and revision history.

Personnel and money databases

ProPublica's appointee and financial-disclosure databases show how to tie power, agency role, prior employer, regulated industry, and source document into one durable entity record. FEC, OpenSecrets, FollowTheMoney, and DIME can extend that record to donors, industries, geography, and ideology.

State and election datasets

Brennan, Public Wise, States United, MIT Election Lab, and FiveThirtyEight are strongest when geography and office level are explicit. The ledger should never flatten federal, state, and municipal claims into one undifferentiated bucket.

Public-order datasets

ACLED and Bridging Divides show why protest, threat, and violence records need event type, actor, location, target, source, and coverage notes before they change public-order scores.

Data-license discipline

A monetized site can cite public records and source pages, but paid downloads, briefs, and data products need a license check for every normalized or third-party dataset.

1763-1828

Founding and Early Republic

Constitutional design, slavery compromise, party formation, sedition, war finance, banking, Indian removal precursors.

1829-1865

Jacksonian America to Civil War

Spoils system, nullification, slavery expansion, sectional violence, secession, wartime civil liberties, emancipation.

1865-1896

Reconstruction and Gilded Age

Reconstruction rollback, Jim Crow construction, corruption, money politics, railroads, labor conflict, federal retreat.

1897-1945

Progressive Era to New Deal

Antitrust, administrative state, immigration restriction, wartime speech limits, Depression response, New Deal institutions.

1946-1980

Cold War and Civil Rights

McCarthyism, civil-rights enforcement, Vietnam, urban crisis, crime, inflation, intelligence abuses, party realignment.

1981-2015

Neoliberal and Post-9/11 Era

Deregulation, deindustrialization, mass incarceration, campaign finance, Iraq, surveillance, financial crisis, polarization.

2016-2026

Populist and Institutional Stress Era

Election denial, executive escalation, public-health failure, crime and disorder, elite trust collapse, factional capture.

Public Data Spine

What Gets Added Next

Open the data source map

Federal economic and labor data

Unemployment, labor-force participation, wages, inflation, productivity, GDP, regional income, population, poverty, migration.

Markets, volatility, credit, and fiscal stress

Market drawdowns, volatility regimes, rates, debt, deficits, fiscal projections, Treasury flows, corporate disclosure, sector stress, and long-run valuation baselines.

Political history and institutions

Campaign finance, donor and industry networks, roll-call ideology, legislative output, election returns, founding-era primary sources, voting-law changes, party texts, policy-code families, and institutional change over time.

State, municipal, court, and public-safety data

Crime, policing, courts, case posture, state legislation, local finance, permits, school data, health, housing, and city service failure.

Democracy measurement and legal trackers

Democracy ratings, directional threat movement, institutional guardrail surveys, litigation posture, regulatory status, constitutional conflict timing, uncertainty bands, and comparative baselines.

Media, NGO, and open corpus data

News event volume, primary archives, nonprofit money trails, public text corpora, model-assisted classification, and source retrieval.

Quality Rules

Prefer primary public data when it exists. Use press and NGO sources to find claims, then anchor claims in data or documents.
Keep historical definitions stable. If unemployment, crime, inflation, or market series definitions change, label the break.
Separate measured harm from narrative intensity. Press volume is not damage by itself.
Track uncertainty by era. Early American data will often need wider bands than modern administrative data.
Do not claim survivorship-bias-free market conclusions from free equity data. Use licensed-grade market data where the claim requires it.
Check data licenses before monetized reuse. OpenSecrets, FEC-derived files, commercial market feeds, and normalized state records may allow citation while restricting resale or paid exports.