The core issue isn't unwillingness to reduce waste—it's the inability to see what's actually moving through the system, which metrics are most frequent, which attributes create complexity, and how filter rules would truly behave. Teams could discover this through experimentation, but that approach carries risk. Mistakes could mean either discarding essential incident data or failing to sufficiently improve data quality.
This revelation created engineering contradictions, as Artemis II's heat shield features reduced permeability to facilitate ultrasonic inspection. Nevertheless, mission planners asserted trajectory modifications would adequately mitigate spalling risks.
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