Most people are... But reality is subjective, and the people you call "bad actors" in this case surely thought themselves "good actors." The problem happens when, in your good-actor zeal for righteousness (capturing bad-actors), you inconvenience a large number of good actors in order to more completely capture a small number of bad ones... and thus become a new bad actor.
(I believe this would be called "high recall, low precision" if you know stats or have done any machine learning https://en.wikipedia.org/wiki/Precision_and_recall and the goal is to maximize both, not just one- also see https://en.wikipedia.org/wiki/F1_score and https://en.wikipedia.org/wiki/Matthews_correlation_coefficie... )
An example of another (IMHO) "high recall, low precision" practice is AML/KYC laws, which find a very small percentage of bad actors at the cost of inconveniencing a large number of good ones (as well as missing some bad actors).
I wish I could assume such but having studied a bit of psychology, I have found no evidence to support such an assumption.