Right - the idea’s not to conclude with ‘tomatoes bring utility - let’s make tomatoes’. The idea’s to maximize total utility, given a population with different values.
I’m very interested in this topic, how would you define the maximal total utility for a group with different values? And is there a limit to optimization for a group before it starts coming at a cost for subgroups?
I understand that it’s easy to revert to an argument of a homogeneous group, but unless everyone is identical - even the slightest difference could lead to large splits. In a global perspective, the difference between i.e. catholics and protestants are comperatively small yet some experience a large divide.
I’m very interested in this topic, how would you define the maximal total utility for a group with different values?
I’ll try to condense what I’ve read with some bullet points:
Utilitarian theory has a lot to say about why this is possible in principle, but it’s not always possible in practice. It’s similar to physics, where everything has mass, but actual measurement is difficult (except Utilitarian theory isn’t nearly as developed as any branch of Physics).
Actual methodologies typically use Economics tools, such as Game Theory. There’s another hurdle to implementation - we can calculate a ‘fair’ wage for everyone in a corporation, depending on what they contribute, but the actual formula’s difficult to compute once you get beyond about 10 people (or at least 10 roles).
even the slightest difference could lead to large splits.
Yes - every difference in someone’s individual utility mappings can affect a given decision, but it’s not all that crazy once you look at real-world examples.
And is there a limit to optimization for a group before it starts coming at a cost for subgroups?
Yes - and utilitarians won’t add any suggestions on where to take the split.
5 people want to go to the cinema. 2 of them love Marvel, 1 hates Marvel. The currently playing films are ...
Mathematically, this example threatens to become insanely challenging, but we make these decisions every day, so clearly we’re making some attempt to maximize utility, even if we’re not 100% successful.
In a global perspective, the difference between i.e. catholics and protestants are comperatively small yet some experience a large divide.
This is an easy one - don’t take global perspectives when making decisions, unless it’s a question with a super-homogenous answer like ‘should people get stabbed by rabbid monkeys?’.
Right - the idea’s not to conclude with ‘tomatoes bring utility - let’s make tomatoes’. The idea’s to maximize total utility, given a population with different values.
I’m very interested in this topic, how would you define the maximal total utility for a group with different values? And is there a limit to optimization for a group before it starts coming at a cost for subgroups?
I understand that it’s easy to revert to an argument of a homogeneous group, but unless everyone is identical - even the slightest difference could lead to large splits. In a global perspective, the difference between i.e. catholics and protestants are comperatively small yet some experience a large divide.
I’ll try to condense what I’ve read with some bullet points:
Yes - every difference in someone’s individual utility mappings can affect a given decision, but it’s not all that crazy once you look at real-world examples.
Yes - and utilitarians won’t add any suggestions on where to take the split.
5 people want to go to the cinema. 2 of them love Marvel, 1 hates Marvel. The currently playing films are ...Mathematically, this example threatens to become insanely challenging, but we make these decisions every day, so clearly we’re making some attempt to maximize utility, even if we’re not 100% successful.
This is an easy one - don’t take global perspectives when making decisions, unless it’s a question with a super-homogenous answer like ‘should people get stabbed by rabbid monkeys?’.