Why not simply allocate weights of preference between choices so they sum up to 1 (100%)? If you require that some peoples votes are of higher weight, run the

Why not simply allocate weights of preference between choices so they sum up to 1 (100%)? If you require that some peoples votes are of higher weight, run the same thing but on population that votes - assigning weight to every individual - so it sums up to 1 (100%) as well. With problem defined in this way you have this intuitive tool to easily compose/merge or compare outcomes, ie. voting run for shareholders (weighted on shares) can be merged with votes of ie. employees (could be weighted on salary and/or time spent in the company) - all those can be merged givig weight to each vote run. This can be extended with more exotic things like votes (at any level) attached to probablity of some yet unknown "fact" or time or any arbirary input which is an output of any DAG created by this voting rule. This makes the whole setup dynamic. Complexity always collapses into simple, intuitive values that can be interpreted (and used as input for other voting-like decisions). Weighted voting all the way down.