How do I avoid overstating support when several references reuse one original observation?
One origin identifier represents one independent observation for the specified claim. Count only references whose relevance was reviewed.
Open Independent Source CountTry the worked example
These are the example inputs from Independent Source Count. Replace them in the tool to run your own case.
| Claim code | Reference | Origin ID | Reviewed |
|---|---|---|---|
| C1 | R1 | Study-A | yes |
| C1 | R2 | Study-A | yes |
| C1 | R3 | Study-B | yes |
| C2 | R4 | Study-C | no |
Example result
2 independent claim–origin pairs
Who uses this?
Editorial assurance lead. The free online tool runs the calculation in your browser. To edit the files and use the tools offline in one business, see the €49 offline edition.
Where the idea came from
Avoid overstating support when several references reuse one original observation. The creator advocates putting a prototype in front of people and collecting evidence about real use. Benchcraft designed this tool’s inputs, decision rule and example for this office task.
Original video