Suggestion for an alternative model, simpler than gerrymandering: prob(punishment) depends positively on the severity of a norm violation, but there is no threshold where it becomes 1 or 0. Even though you draw a two-dimensional diagram, You model seems to have only one dimension, and so there is some randomness capturing the things left out of it.
Suggestion for an alternative model, simpler than gerrymandering: prob(punishment) depends positively on the severity of a norm violation, but there is no threshold where it becomes 1 or 0. Even though you draw a two-dimensional diagram, You model seems to have only one dimension, and so there is some randomness capturing the things left out of it.