Why Apps Should Never Silently Adjust the Numbers Behind Someone's Pay

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A software engineer argues that silently correcting mileage data in driver expense apps is a trust problem, even when the algorithm is technically accurate. The piece uses a real example where a pipeline reduced a driver's recorded 40km trip to 36km by filtering out mock locations, implausible jumps, and spike distances. The author contends that without explanation, drivers cannot tell the difference between a careful algorithm and an employer manipulating their pay. The proposed fix involves displaying both the original and adjusted figures, naming each removal category explicitly, and giving users a toggle to override the algorithm. The broader principle, the engineer notes, applies to any system — fraud scores, rankings, usage billing — where automated outputs directly affect a person's money or reputation.

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