I agree with your thoughts. Competitiveness isn’t necessarily fully orthogonal to common good pressures but there generally is a large component that is, especially in tough cases.
If they are not orthogonal then they may reach some sort of equilibrium that does maximize competitiveness without decreasing common good to zero. However, in a higher dimensional version of this it becomes more likely that they are mostly orthogonal (apriori, more things are orthogonal in higher dimensional spaces) and if what is competitive can sorta change with time walking through dimensions (for instance moving in dimension 4 then 7 then 2 then...) and iteratively shifting (this is hard to express and still a bit vague in my mind) then competitiveness and common good may become more orthogonal with time.
The Moloch and Pareto optimal frontier idea is probably extendable to deal with frontier movement, dealing with non-orthogonal dimensions, deconfounding dimensions, expanding or restricting dimensionality, and allowing transformations to iteratively “leak” into additional dimensions and change the degree of “orthogonality.”
I agree with your thoughts. Competitiveness isn’t necessarily fully orthogonal to common good pressures but there generally is a large component that is, especially in tough cases.
If they are not orthogonal then they may reach some sort of equilibrium that does maximize competitiveness without decreasing common good to zero. However, in a higher dimensional version of this it becomes more likely that they are mostly orthogonal (apriori, more things are orthogonal in higher dimensional spaces) and if what is competitive can sorta change with time walking through dimensions (for instance moving in dimension 4 then 7 then 2 then...) and iteratively shifting (this is hard to express and still a bit vague in my mind) then competitiveness and common good may become more orthogonal with time.
The Moloch and Pareto optimal frontier idea is probably extendable to deal with frontier movement, dealing with non-orthogonal dimensions, deconfounding dimensions, expanding or restricting dimensionality, and allowing transformations to iteratively “leak” into additional dimensions and change the degree of “orthogonality.”