 This effect is a kind of biased interpretation, in that objectively neutral or unfavorable evidence is interpreted to support existing beliefs.It is also related to biases in hypothesis-testing behavior.In judging whether two events, such as illness and bad weather, are correlated, people rely heavily on the number of "positive-positive" cases