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Evidence and provenance

Three Reports Can Still Be One Test

Before trusting a claim that copied research files preserve provenance, check what was tested and where each report got its evidence.

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Question the agreement

Three agreeing reports can look like three independent confirmations. That inference fails when the reports reuse evidence. Suppose you are evaluating a product that claims to preserve measurements and their provenance when copying research files. Your decision concerns the information that survives in the copy. A report count alone cannot establish that the required information was checked.

Trace a concrete counterexample

Imagine three reports saying a copy passed inspection. The first describes one test; the second repeats its result; the third summarizes the second. All three ultimately depend on one output file. If that inspection compared measurement values but ignored their origin, none establishes that provenance survived. A copier can multiply pages without producing another observation. These examples are illustrative, not reported test results.

Test a precise requirement

Write a narrow acceptance condition before testing: every measurement must retain its source identifier and any transformation record required by your specification. Prepare a file containing both original and derived measurements. Copy it, then compare the values and required records in the output with the input. Record the product version, procedure, and observed differences. For each supporting report, trace the result to its input, execution, and output; mark reused observations explicitly. Accept only the scope that the actual check supports.

Set a boundary for acceptance

Hypothetically, two reviewers compare the same input and output independently and agree that every required record survived. Their separate inspections can reduce the chance of an overlooked defect, but they do not test another execution or another input. Decision rule: treat this as independent checking of one result. If your decision requires confidence across varied files, require additional executions with relevant differences in the inputs. If one required record disappears, withhold acceptance for that use until the problem is corrected and checked again.

Make the research practical.

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