Not true: it means you shouldn't use a normal distribution, and when you do you should say so up front. I see no reason not to apply normal distributions if your limit is high (say, greater than 4 sigmas--social science is much fuzzier than physical science). Better yet, make your limit a function of the number of observations you have. As the probability of getting into the long tail gets higher, make the tail longer.
Truncated normal is not the same thing as a plain-vanilla normal. And using it does mean increasing the complexity of the simulation.
As per a recent comment this thread is meant to voice contrarian opinions, that is anything this community tends not to agree with. Thus I ask you to post your contrarian views and upvote anything you do not agree with based on personal beliefs. Spam and trolling still needs to be downvoted.