Observational error is the difference between a measured value of quantity and its true value. In statistics, an error is not a "mistake". Variability is an inherent part of things being measured and of the measurement process.
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“Mistakes are made on two counts: an argument is either based on error or incorrectly developed.”
—Thomas Aquinas (c. 1225–1274)