Again, statistics applied to a partially observable and partially understood phenomena yield nonsense. If not all the variables are controlled or not all possib

Again, statistics applied to a partially observable and partially understood phenomena yield nonsense. If not all the variables are controlled or not all possible causes has been taken into account the result will be a mere aggregation of observations. What's true for coins and dices does not applicable for partially observable environments with multiple causation and yet unknown control mechanisms. Statistics is not applicable to imaginary models based on unproven assumptions or premises.