What is the significance of a hard cutoff in the context of data analysis and how does it impact the accuracy of the results?

A hard cutoff in data analysis refers to a strict boundary or threshold used to categorize or filter data. It is significant because it can affect the inclusion or exclusion of data points, which in turn can impact the accuracy of the results. If the cutoff is set too high or too low, important data may be missed or irrelevant data may be included, leading to biased or inaccurate conclusions.