As mentioned, those percentages wher my own subjective estimates, and they were determined based on the considerations that I mentioned (“This estimate is based on”). When I clearly state that these are my personal, subjective estimates, I don’t think it is misleading: it does not give a veneer of objectivity.
The clarifying part is that you can now decide whether you agree or disagree with the probability estimates. Breaking the estimate into factors helps you to clarify the relevant considerations and improves your accuracy. It is better than simply guessing the overall estimate of the probability that wild animal suffering is the priority.
If you don’t like the wide margins, perhaps you can improve the estimates? But knowing we often have an overconfidence bias (our error estimates are often too narrow), we should a priori not expect narrow error margins and we should correct this bias by taking wider margins.
As mentioned, those percentages wher my own subjective estimates, and they were determined based on the considerations that I mentioned (“This estimate is based on”). When I clearly state that these are my personal, subjective estimates, I don’t think it is misleading: it does not give a veneer of objectivity.
The clarifying part is that you can now decide whether you agree or disagree with the probability estimates. Breaking the estimate into factors helps you to clarify the relevant considerations and improves your accuracy. It is better than simply guessing the overall estimate of the probability that wild animal suffering is the priority.
If you don’t like the wide margins, perhaps you can improve the estimates? But knowing we often have an overconfidence bias (our error estimates are often too narrow), we should a priori not expect narrow error margins and we should correct this bias by taking wider margins.