Does the conclusion flip if you don’t value 30 shrimps/shrimp moments the same as a human?
It might be more meaningful to present your results as a function, e.g., if you value shrimps and chicken at xyz, then the overall value is negative/positive
Particularly in uncertain domains, it might have been worth it to consider uncertainty explicitly, and RP does give confidence intervals.
The sign of the conclusion would be the same (though significantly weaker) even if you ignore shrimp entirely, provided all other assumptions are held constant. That said, the final numbers are indeed quite sensitive to the moral weights, particularly those of chickens, shrimp, and fish as the most abundant nonhumans.
I agree re: the value of both a function-based version that would allow folks to put in their own weights/assumptions, and a version that explicitly considers uncertainty. I don’t have plans to build these out myself, but might reconsider if there’s sufficient interest, and in any case would be happy to support someone else in doing so.
Does the conclusion flip if you don’t value 30 shrimps/shrimp moments the same as a human?
It might be more meaningful to present your results as a function, e.g., if you value shrimps and chicken at xyz, then the overall value is negative/positive
Particularly in uncertain domains, it might have been worth it to consider uncertainty explicitly, and RP does give confidence intervals.
The sign of the conclusion would be the same (though significantly weaker) even if you ignore shrimp entirely, provided all other assumptions are held constant. That said, the final numbers are indeed quite sensitive to the moral weights, particularly those of chickens, shrimp, and fish as the most abundant nonhumans.
I agree re: the value of both a function-based version that would allow folks to put in their own weights/assumptions, and a version that explicitly considers uncertainty. I don’t have plans to build these out myself, but might reconsider if there’s sufficient interest, and in any case would be happy to support someone else in doing so.