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Check a political claim about the economy in three moves: pin down exactly what was said, trace the statistic to its original source and see what it measures, then test whether the evidence supports the speaker’s conclusion. A correct number can still be used misleadingly if its timeframe, comparison or context is missing.
1. Capture the exact claim before checking it
Save the full statement, who made it, when and where it was made, and the surrounding context. Look for the original transcript, video, speech, press release or social-media post rather than relying on a clipped repost or someone else’s summary. A short phrase may leave out a qualification that changes its meaning.
FactCheck.org describes checking political statements against transcripts, videos, websites, press releases and social-media posts. It says, “The burden is on the person or organization making the claim to provide the evidence to support it.” That describes its fact-checking approach, not a universal legal rule. FactCheck.org’s process
2. Separate facts from judgments
Some parts of a statement can be checked directly: a date, a quoted figure, a definition or whether a policy document says what the speaker claims. Other parts depend on a standard that the speaker has not stated.
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Example: “Unemployment is high”
“High” requires a comparison. High relative to last year, a long-run average, another country or a particular target? The answer may change depending on the benchmark, the population counted and the period selected. Ask the speaker—or make the chosen benchmark explicit—before treating “high” as a simple fact.
Example: “Wages are too low”
Wage data can establish a measured level or trend, but “too low” expresses a judgment about what people should earn. Statistics may inform that judgment; they cannot settle it without a stated standard, such as the cost of living or a policy goal.
3. Find the original statistic or document
Identify the exact measure behind the claim and trace it to the organization that produced the data or document. A news article or fact-check can help locate a source, but readers should inspect the underlying release, table, report or policy text when possible. Prefer official or well-documented primary sources for the jurisdiction in question.
- United States: FactCheck.org points to the Bureau of Labor Statistics (BLS) for employment data and the Bureau of Economic Analysis (BEA) for economic data.
- United Kingdom: The House of Commons Library points to the Office for National Statistics (ONS) as an example of a reputable source for labour-market data.
- Elsewhere: Use the relevant national statistical agency or other clearly documented primary source. Do not assume a UK or U.S. measure answers a claim about another country.
The European Commission’s guidance also recommends official sources for official data and independent fact-checkers as a starting point for evaluating claims. European Commission: Finding information you can trust
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A figure can be accurate on its own while failing to support the claim attached to it. The UK Office for Statistics Regulation (OSR) offers five useful questions for statistics used in election campaigns:
- Does the claim logically follow from the statistics quoted?
- Is the source for the figure publicly available?
- Has the figure been quoted without important context or background?
- Are comparisons like-for-like?
- Does the statistic seem wildly unlikely or too good to be true?
These checks are useful beyond election campaigns. A claim about average wages, for example, should not quietly switch to median wages when making a comparison; a figure for one age group should not be presented as covering everyone. OSR guidance on statistics in election campaigns
5. Check definitions, dates and comparisons
Before comparing numbers, confirm that they cover the same thing. Check the measure’s definition, the period covered, the geography and the population. For income and wages, determine whether figures are nominal or adjusted for inflation. For unemployment, make sure the same definition and population are used across the periods or places being compared.
Also note whether the figure describes an observed result, an estimate or a forecast. A forecast is not a measured outcome, and an estimate may later change. If a claim says something rose or fell, verify that both endpoints use comparable measures and releases.
6. Read release notes and revisions
Economic estimates can be revised as more complete source data become available or methods are updated. Check the release date and notes, and record which version of the data supports the claim. BEA describes how it publishes source data and methods, explains assumptions when source data are unavailable, documents planned updates and revisions, and studies the accuracy of estimates over time. BEA Information Quality Guidelines
A revised estimate does not automatically mean an earlier claim was dishonest or that the data are unusable. It means the release vintage matters: a speaker may have used the best available estimate at the time, while a later version gives a different figure.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.7. Treat claims about cause more cautiously than claims about change
“The economy changed during this administration” is a statement about timing. “This administration caused the change” is a stronger claim. Economic outcomes have many possible contributors, so a before-and-after comparison alone does not establish that a particular policy produced a result.
For a causal claim, look for evidence connecting the policy to the outcome, the assumptions behind that analysis and plausible alternative explanations. If the evidence shows an association or a change over time but does not isolate the policy’s effect, describe that limit rather than presenting timing as proof of causation.
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8. Compare evidence without flattening disagreement
If credible sources appear to disagree, first check whether they are measuring the same thing. Compare each source’s definition and coverage, time period and release vintage, geography and population, method, and whether it reports an observation, estimate or forecast. Then ask whether each conclusion is descriptive, comparative or causal.
Different measures can capture different aspects of the economy and show different trends. That does not automatically make one source unreliable. Explain what each measure includes and why the results differ before drawing a conclusion. The House of Commons Library’s guide to checking facts discusses differences between measures, context and the limits of causal claims.
9. Reach a conclusion readers can audit
State whether the claim is accurate, inaccurate, unsupported or misleading because of omitted context, and explain the basis for that judgment. Link to the original data or document, identify the relevant dates and definitions, and disclose limitations that could change the interpretation. Full Fact’s published method, as described by the House of Commons Library, aims to use two sources for a central claim unless only one is relevant and prefers primary data tables and legal documents.
As Full Fact puts it in the wording quoted by the Commons Library: “We’d prefer you not to. Anything we publish is attributed and linked to its source, so you can make your own mind up about it.” A reader should be able to follow the same trail from a political statement to its evidence.
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Quick Recap
A quick checklist
- Do I have the original statement and enough context to understand it?
- Which part is measurable fact, and which part is a value judgment?
- What exact statistic or document is the speaker using, and who produced it?
- Do the definition, dates, geography, population and comparison match the wording?
- Is the figure observed, estimated or forecast, and has it been revised?
- Does the evidence show that a policy caused an outcome, or only that the two occurred together?
- Can another reader inspect the sources and understand the limits of my conclusion?
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