One thing to keep in mind, when looking at complex topics like expert vs. beginner opinions and so on:
> "When You Shouldn't Use the Bell Curve: There are some types of data that don't follow a normal distribution pattern. These data sets shouldn't be forced to try to fit a bell curve. A classic example would be student grades, which often have two modes. Other types of data that don't follow the curve include income, population growth, and mechanical failures."
https://www.thoughtco.com/bell-curve-normal-distribution-def...
https://news.mit.edu/2012/explained-sigma-0209
One thing to keep in mind, when looking at complex topics like expert vs. beginner opinions and so on:
> "When You Shouldn't Use the Bell Curve: There are some types of data that don't follow a normal distribution pattern. These data sets shouldn't be forced to try to fit a bell curve. A classic example would be student grades, which often have two modes. Other types of data that don't follow the curve include income, population growth, and mechanical failures."