"Negative" findings or "null" findings don't indicate a mistake. Let's say I'm studying whether or not a certain vitamin, lets say Vitamin HN, helps prevent the

"Negative" findings or "null" findings don't indicate a mistake. Let's say I'm studying whether or not a certain vitamin, lets say Vitamin HN, helps prevent the common cold. The null hypothesis would be that it does not help prevent the common cold, as most things do not and that's where we must assume our Vitamin HN will fall. If we find that it doesn't actually prevent cold, that is not a mistake, that is simply the calculation of a lack of treatment effect difference in two groups of a sample of a population. There is no "mistake" inherent to null vs. confirmed hypotheses.