http://einstein.stanford.edu/Media/Everitt_Brainstorm-flash....
Well, you have to deal with it somehow. If you know the source of the noise, there's no excuse for not modelling it.
Look at the history of Milliken's oil-drop experiment: http://en.wikipedia.org/wiki/Oil_drop_experiment#Millikan.27...
He got the wrong answer, but subsequent researchers who got different results kind of smoothed their own results to match the "correct" (actually wrong) expected result.
I'm not saying that happened here, but it's always a possibility.
Essentially, how do you know when you've modelled the noise accurately enough? When you get the expected right answer? Why not continue to refine the noise model, or consider other ones?
Given Dr. Everitt's commitment to this experiment, I'd wager he was humble enough according to that definition ... though that assumption of mine would simply be a "halo effect" instance?
One point about it is that the probe had a lot of noise, so much noise that it swamped the signal. It was only by developing computer models of the source of the noise, and then subtracting it from the signal that the result was found.
But I find such "adjustments" distasteful. I mean everyone expects a certain answer, and voilà you get that answer. Is there a bug in your code? Or course not - you got the expected answer didn't you?
(See the section called "NASA review" in the wikipedia article.)
Anyway, now that they learned so much about such probes they should launch another one and get much cleaner data.