I set the welfare range as a fraction of that of humans to ânumber of neurons as a fraction of that of humansâ^âexponent of the number of neuronsâ
The results for this can be used for proxies besides the number of neurons (for example, number of neurons in the forebrain). If one thinks the welfare range as a fraction of that of humans is w = âproxy as a fraction of that of humansâ^âexponent of the proxyâ, and that âproxy as a fraction of that of humansâ = ânumber of neurons as a fraction of that of humansâ^k, w = ânumber of neurons as a fraction of that of humansâ^(k*âexponent of the proxyâ). So the results based on the new proxy for âexponent of the proxyâ would be the same as my results based on the number of neurons for âexponent of the number of neuronsâ = k*âexponent of the proxyâ.
The results for this can be used for proxies besides the number of neurons (for example, number of neurons in the forebrain). If one thinks the welfare range as a fraction of that of humans is w = âproxy as a fraction of that of humansâ^âexponent of the proxyâ, and that âproxy as a fraction of that of humansâ = ânumber of neurons as a fraction of that of humansâ^k, w = ânumber of neurons as a fraction of that of humansâ^(k*âexponent of the proxyâ). So the results based on the new proxy for âexponent of the proxyâ would be the same as my results based on the number of neurons for âexponent of the number of neuronsâ = k*âexponent of the proxyâ.