Computer models are seductive even though they are very often completely wrong. The more complicated they are the greater chance that they are wrong. Like children, they copy their parents -- the model architects. Confirmation bias involves cherry picking facts to obtain a result consistent with preexisting beliefs. A complicated computer model with many degrees of freedom is a perfect environment for confirmation bias to have its way. The investigator usually will believe, or at least claim, that his model is objectively setup without bias entering into the effort. Not all computer models are wrong. Sometimes they produce good predictions. But all too often they fail and the failures are not acknowledged because the modelers are emotionally or ideologically attached to their creation. The claim of objectivity by academic modelers contrasts with the standard leftist or academic belief that practically everyone is a racist, driven by unconscious motives. Google “implicit...(Read Full Article)