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Print to Digital Instruments: Hidden Dataset Assumptions
When analog gauges went digital, old datasets cracked open. What the transition revealed about the numbers we trusted for decades.
Picture the moment: you're staring at a line graph of engine temperatures spanning four decades, clean and unbroken, the kind of record that inspires confidence in quarterly reviews and safety audits alike. Then someone swaps the analog gauges for digital sensors, and the graph develops a step change so abrupt it looks like a data entry error. The temperatures didn't shift. The instruments did. Forty years of carefully maintained records now have a seam running straight through the middle, and nobody wrote down why.
This is what the print-to-digital transition in instrumentation actually revealed: not bad data, exactly, but data carrying assumptions so baked-in that nobody had thought to document them.