@Liberty4Masses As we know with statistics there is a threshold to how accurate data needs to be before we can make actionable results on it. We can test for that and know ahead of time if the data is "Accurate enough". The fact that after data is collected it begins to lose accuracy is true, but also irrelevant because what matters is "did it lose ENOUGH accuracy to no longer be useful". As i said we can test where that point is. So it is largely irrelevant point and doesnt negate the fact that we can still draw conclusions from it.