Productive Errors, Random genetic mutations that fail but introduce variation, Incorrect antibodies generated by the immune system, Scientific experiments that contradict the original hypothesis, Anomalous data that does not fit an existing theory, Confusing productivity results in the Western Electric Hawthorne experiments, A concept that failed in production constraints but led to a stronger collaboration in another sub category, A color-matching failure that revealed in-store vs. outdoor lighting differences, Answering one of these questions incorrectly and looking through the chapter again later, Prevented/ Suppressed Errors, Early feedback ignored due to hierarchy, forcing late-stage rework later., Exploration that helped a team articulate their needs, but was discouraged because it did not produce immediate output. , Ignoring dissenting data because it challenges existing systems or models, Reinterpreting warning signs to fit an existing model, Treating anomalies as noise rather than information, Suppressing small errors until they accumulate into catastrophe, Requiring final polish before validation.

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