72 problems carry built on the wrong data

The right quantity was measured — on the wrong sample. A model trained on calm seas fails during storms; a sensor validated with clean spiked samples fails on naturally contaminated ones; a medical device calibrated mostly on lighter skin tones misreads darker-skinned patients. The tool inherits every blind spot of the data it was built from, and the blind spots land exactly where the tool is needed most.