Truncated normal is not the same thing as a plain-vanilla normal. And using it does mean increasing the complexity of the simulation.
Sentence 1: True, fair point. Sentence 2: This isn't obvious to me. Selecting random values from a truncated normal distribution is (slightly) more complex than, say, a uniform distribution over the same range, but it is demonstrably (slightly) less complex than selecting random values from an unbounded normal distribution. Without finite boundaries, you'd need infinite precision arithmetic just to draw a value.
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.