I've seen two hot network questions in the past two days where one of the highly upvoted answers was a variation on "you did your measurement wrong". In both cases, this answer was incorrect--the measurement was right, the simplest physical model was wrong, and there was better physical model that matched the data very well.
- The first such question is Why did I measure the magnetic field to vary exponentially with distance?. The measurement showed that the magnetic field of certain magnets decayed exponentially. This differs from the simplest model--that of a dipole--and one of the answers claimed that the OP got the measurement wrong. It turns out that there was a better model for the magnet in question, namely a Halbach array, which correctly accounts for the exponential field decay.
- The second such question is Pan flute physics. The measurement showed that the frequency of a half-open pipe was lower than the naive formula $\frac{c}{4L}$ would predict. One answer claimed that this was due to imprecise knowledge of the speed of sound $c$. However, this turns out to be wrong (for reasons I explained in a comment on said answer), and the right explanation is that there is a better model for the frequency of a half-open pipe which accounts for non-zero diameter of the pipe, and does a better job of predicting the measured frequency.
A key point in both of these questions is that the OP knew the simplest model for the phenomena in question (respectively, field of a magnetic dipole and simple formula for frequency of a half-open pipe), and their questions were essentially "why does my measurement differ from the model?"
I'm going to make a bold assertion and say that trying to explain away surprising measurements as "bad data" is itself bad physics, and I think answers along these lines should be discouraged. The reason is that literally anything can be "explained" in this way, and it prevents you from seeing the "right" physics if it doesn't coincide with whatever simple models the answerer happens to favor. I think both of the preceding examples prove this point.
Having said this, I acknowledge that there are certainly cases where experiments are performed improperly. Notably, neither of the aforementioned questions had any estimate of the uncertainty of their measurements (an aspect often tragically overlooked in non-research-level experiments). However, for the purposes of this site, I think we ought to generally consider experimental error as a legitimate explanation only as a last resort. We should prioritize answers which explain an observation with physics, rather than fudge factors.