Missing Data Fallacy (also known as: missing information fallacy) Description: Refusing to admit ignorance to the hypothesis and/or the conclusion, but insisting that your ignorance has to do with missing data that validate both the hypothesis and conclusion. Logical Form: Hypothesis H is put forward. Fatal Flaw F is pointed out. Rather than change the hypothesis to match the data, it is simply assumed that there must be data missing that will eliminate flaw F.
