________ refers to staying with a decision even when there is clear evidence it's wrong.
A) Escalation of commitment
B) Fundamental attribution error
C) Randomness error
D) Risk aversion
E) Availability bias
The correct answer is A. escalation of commitment. Availability bias refers to the tendency for people to base their judgments on information that is easily accessible. Escalation of commitment happens when despite the bad prognosis we still believe we should keep on pushing because sometimes the miracle can happen because there are many examples of the decision makers who did not give up and eventualy succedded.
