Kathy Dopp wrote:

I believe that may be the case, because a sentence in the paper says:

"For example, if a
candidate receives 3 votes from bullet voters, 2 votes from voters who
approve of two
candidates, and 5 votes from voters who approve of three candidates, his or her
satisfaction score is 3(1) + 2(½) + 5(1/3) = 5 2/3."

and

"the satisfaction score of subset S, s(S), can be obtained by summing
the satisfaction
scores of the individual members of S. Now suppose that s(j) has been
calculated for all
candidates j = 1, 2,…, m. Arrange the set of m candidates [m] so that
the numbers s(j) are
in descending order. Then the first k candidates in the rearranged
sequence are a subset
of candidates that maximizes total voter satisfaction."

and

"Because candidates c and d are the two candidates with the highest
satisfaction scores,
they are the winners under SAV."
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What are its flaws that you see?


I'll consider it in greater detail when I have more time, but plain SNTV has two problems. The first is the "ordering of the vote" problem, which means that in order to achieve proportionality, voters have to spread their votes equally among party candidates. Parties in Taiwan use rather ingenious strategies (like telling a voter to vote for a candidate depending on the voter's birthday) to ensure this. This shouldn't be a problem for the cumulative vote version - each voter just votes for all the party candidates so that the mechanism distributes the vote fairly.

The second is that voters have to take into account how popular the candidate is; too much, and the vote is wasted (because the candidate would win anyway), too little, and the vote is wasted (because the candidate won't win). This, however, might be. It's like Approval strategy, but more complex: if the voter votes for a candidate that wouldn't win anyway, he weakens his other votes and so helps the other candidates less. Similarly, if the voter votes for a candidate that has already passed the threshold, that candidate can't "win more", and so that vote, too, is wasted. Knowing the expected relative support of each candidate becomes very important in such a system.

Now, you may say that the second problem is analogous to STV's Woodall vote management (don't vote for a candidate that would otherwise win), but the problem is not as serious in STV because STV has a contingency mechanism; if you vote for a candidate that still loses, for instance, your vote may have some chance of being transferred to one of the choices where your vote makes a difference. To not give the wrong impression, I'll say that the property here (that your vote counts towards those that could be elected) is more important than the specific method (in this case STV). My Webster-based monotone setwise method achieves something similar by having a vote count toward all sets of candidates ranked higher than or equal to the candidate in question, and the outcome is then constrained to have the same proportion of members from each set as voters that supported that set.
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