________ refers to staying with a decision even when there is clear evidence it's wrong.

________ 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



Answer: A


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