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Data discipline

Why I change one test variable at a time

A test is only useful when the result can be tied back to a controlled difference.

Monochrome growth-ring labyrinth target
Monochrome growth-ring labyrinth target

More changes do not create more information

Changing several components or setup details at once may produce a different result, but it does not explain why. I keep a baseline, change one planned variable, and record everything else that could affect the comparison.

Define the question before the test

A useful question has a measurable answer: did consistency improve, did the point of impact repeat, or did the process become easier to control? Decide that before seeing the target.

Keep safety outside the experiment

Published data, component-manufacturer guidance, and equipment limits are constraints, not variables to explore. If anything looks abnormal, stop and verify it. No score or graph is worth pushing past uncertainty.