Fact-check economics claims on Chrome before trusting, citing, or resharing them.
Start with one surprising number, chart, poll, budget claim, price claim, market-summary sentence, or viral screenshot, then run a FactSentinel first-step source check before you cite or amplify it.
Start with the exact numeric claim.
Economics and statistics claims often compress a data source, time period, geography, denominator, and methodology into one number or chart. A practical Chrome workflow starts by isolating the exact claim and checking whether the original data trail supports that wording.
1. Preserve numeric context
Keep the number, chart label, poll wording, date range, geography, source link, quote context, and screenshot wording before the claim gets paraphrased.
2. Run FactSentinel
Review original data/source trails, dates and geography, denominator/base-rate context, methodology notes, inflation/nominal-vs-real framing, quote context, caveats, reasoning, confidence, and model agreement.
3. Share cautiously
Open the source trail and decide whether to cite with context, keep reading, ask for methodology, clarify the denominator, or avoid resharing the chart.
Economics claims worth slowing down for.
Start where data context can change the next action. Prices, jobs, wages, budgets, taxes, public spending, markets, polls, and viral screenshots often depend on dates, geography, base rates, denominators, and real-versus-nominal framing.
Inflation, wages, and prices
- Claims about prices, pay, household costs, or inflation-adjusted values.
- Charts that mix nominal and real numbers without saying so.
- Comparisons where dates and geography change the meaning.
Jobs, budgets, and taxes
- Claims about employment, spending, deficits, taxes, or public programs.
- Public-spending screenshots that need source and denominator context.
- Quote snippets where the source supports a narrower point.
Markets, polls, and charts
- Market-summary claims that may be stale or incomplete.
- Poll claims that depend on sample, question wording, and field dates.
- Viral screenshots where methodology notes are missing.
What the check should surface before you rely on it.
The goal is not to make a financial, tax, legal, or policy decision. The goal is to slow the trust decision long enough to inspect original data/source trails, dates and geography, denominator/base-rate context, methodology notes, inflation/nominal-vs-real framing, quote context, and cautious share language.
Original data/source trails
- Source links tied to the exact number, chart, poll, or screenshot claim.
- Dates and geography preserved for the data being cited.
- Caveats when the data source is stale, missing, or mismatched.
Methodology and base rates
- Denominator/base-rate context before interpreting a percentage.
- Methodology notes for polls, surveys, charts, or economic series.
- Inflation/nominal-vs-real framing before comparing values.
cautious share language
- Cite with source, date, geography, and denominator context.
- Ask for the original data or methodology.
- Avoid resharing when the chart is cropped or context is missing.
Related source-aware workflows.
Use the political page for civic claims, science page for study and climate claims, health page for medical claims, video page for transcript claims, social page for viral posts, newsroom page for editorial checks, researcher page for observation workflows, classroom page for teaching checks, news guide for article claims, source guide for citations, hallucination guide for AI answers, and case study for a public fake-sources walkthrough.
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Install, then check one numeric claim.
Open the download page, install the Chrome extension, and run a first-step check on one inflation, wage, price, jobs, budget, tax, public-spending, market-summary, poll, chart, or viral screenshot claim before trusting, citing, or resharing it.