numerous other possible sources of uncertainty in experimental data
How can we sure that a possible source of uncertainty is the same as a source of error? I've always thought that to a small extent, there can be differences in experiments due to randomness. In such case it wouldn't be error--the differences this randomness creates would simple be statistical noise. If an experiment does control for a certain variable, would it be experimental error, systematic error, human error...?