Source Credibility Assessment
Assesses funding, method, date and whether it is primary — in that order, since the first two explain most disagreements.
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Running it, start to finish
- Trace the claim back to primary work.
- Identify the funder and what their interest would predict.
- Compare the finding against how it is summarised.
What you get back
The output this produces, every time.
- Traces whether the source is primary, since a citation chain is one piece of evidence appearing as several.
- States the funder's interest and checks whether the findings run in that direction.
- Separates what the study supports from what its summary claims.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Look hardest at sample selection. It is where most weak studies fail, and a self-selected or convenience sample undermines everything downstream.
- Check correlation is not reported as cause. It is the most common misrepresentation in research reporting, and it usually happens in the summary rather than the paper.
- Ask why sources disagree. The reason — different populations, definitions or interests — is usually more informative than the disagreement.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.
