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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“There is a lot of difference between tempting and leading into error. God tempts but does not lead into error. To tempt is to provide opportunities for us to do certain things if we do not love God, but putting us under no necessity to do so. To lead into error is to compel a man necessarily to conclude and follow a falsehood.”
—Blaise Pascal (16231662)