Suppose a hardware engineering team runs a study looking for a statistically significant correlation between using circuit A in new computers and a system failure. Suppose that the team found a correlation, but when the study is finished the engineering team leaves open the possibility that the correlation was accidental. However, another team later finds that there is indeed a statistically significant correlation between using circuit A and a system failure. Explain the kind of error the first engineering team has made. Why is it not quite accurate to call the error a false negative? Please provide an example of a bias that might cause this sort of error.