While “isolated demands for rigor” may be suspect, an outlier could be the result of high measurement error* or model failure. (Though people may be systematically overconfident in their models.)
*Which has implications for the model—the data thought previously correct may contain smaller amounts of error.
While “isolated demands for rigor” may be suspect, an outlier could be the result of high measurement error* or model failure. (Though people may be systematically overconfident in their models.)
*Which has implications for the model—the data thought previously correct may contain smaller amounts of error.