Original editorial illustration; not a location photograph or product screenshot.
A search result that repeats your question is not evidence that its answer is correct. Online claims travel quickly from one post to another, and ten repetitions may trace back to the same misunderstanding. The solution is a compact verification workflow that identifies the original source and the precise statement it supports.
Step one: turn a headline into a testable proposition
A headline such as 'new study proves phones damage memory' mixes a source description, causal claim, population, and outcome. Rewrite it: 'In which participants, did which measured exposure cause which result, using what study design?' If the exact proposition cannot be stated, the claim is too vague to verify confidently.
Step two: trace the attribution backward
Open the linked article and follow its references. If it cites a press release, inspect the underlying study or report. If it cites an unnamed 'expert', search for the actual statement and its date. Prefer the responsible institution's original dataset, text of a law, official technical documentation, or peer-reviewed paper as appropriate. An official source can also contain error, so original does not mean infallible.
Step three: inspect scope and definitions
Check geography, time period, sample, age group, and unit. 'Doubled' might mean growth from one case to two; 'most' might refer only to survey respondents. For a screenshot, look for missing axes, cropped disclaimers, or a date that belongs to a previous version of the story. For policy statements, distinguish a proposal from an enacted requirement.
Step four: compare independent material
Find a second source that conducted its own analysis or offers a different type of evidence. Two outlets copying one press release do not count as independent corroboration. For scientific results, reviews and replication may matter more than a second article about the same paper. For fast-changing products, primary documentation and a current changelog are often more useful than evergreen lists.
Step five: record what remains uncertain
A useful note records the exact claim, source link, publication or observation date, strongest supporting evidence, strongest contradiction, and status: supported, unsupported, mixed, or not yet established. Uncertainty is an outcome, not a failure. Resist promoting preliminary findings into universal rules.
Worked example: a free software claim
Imagine a page claims that an editor is 'free forever, for everyone'. The company’s pricing page may show a no-cost tier but also mention limits on exports, commercial use, storage, or countries. A screenshot from last year might be accurate historically but false for today's offer. Your revised statement should preserve conditions: 'a free plan exists; features and eligibility should be checked before use'.
Publication checklist
Before sharing a claim, include the source URL, a defensible paraphrase, the date relevant to the claim, and any material limitation. Never fake testing, interviews, or credentials to make a story sound authoritative.
FAQ: Is Wikipedia unusable? No. It can be a starting map of references, but the precise claim should be checked against the cited primary or specialist source.
A claim-to-evidence log
Use this original planning worksheet with your own information. Its example decisions illustrate a method; they are not results from a product test or a visit.
| Check | What to record | How to use it |
|---|---|---|
| Exact claim | Population, date, unit and wording | Rewrite a vague headline as a checkable statement. |
| Original evidence | Source URL and supporting passage | Check whether the passage actually supports the claim. |
| Outcome | Supported, contradicted or unresolved | Keep unresolved details visible in the final explanation. |
Download this planning worksheet (CSV)
Sources & verification
Source check: 2026-10-28. This is desk research and practical guidance; no firsthand product test or place visit is claimed. Provider terms can change.