On 12/22/2011 12:27 AM, Jameson Quinn wrote:
> ...
> If you aren't 100% sure you have the right answer, you probably don't
> have the right answer 100% of the time.

Keep in mind that I am allowing for cases in which there are 50 or 100 choices _and_ it is important for every single one of the choices to be correctly ranked.

In real life there are cases that involve lots of candidates -- in fact I recently heard about an election involving 46 candidates -- but only the top few choices are important. (Maybe as many as the top half win seats.) The correct ranking for the obviously losing candidates is not needed.

Specifically I don't want to claim -- without proof -- that every one of the obviously losing candidates -- say the bottom 5 candidates out of 50 candidates -- is accurately ranked with respect to each other. (Actually in this case the lack of statistical significance of the collected data is a bigger issue.)

Remember that other single-winner voting methods only identify a single winner. The VoteFair popularity ranking software will always correctly identify the correct single winner according to the Condorcet-Kemeny criteria.

My uncertainty is about the correct ranking of every single choice when there are 50 or 100 choices.

Keep in mind that the software easily (quickly) calculates all the sequence scores if there are up to 6 choices, so those results can be used to accurately identify the winner -- which is all that is usually wanted anyway.

My statement ...
>    But as far as I know, the algorithm always finds the highest
>    score, even in the most complex cases.
... is not expressed as having 100% certainty because I do not have a _proof_ that it always finds the largest sequence score.

I have run calculations for thousands of rankings (based on real-life data, plus unusual cases that I've collected), and I have compared those rankings to the method that calculates every sequence score (if there are no more than 6 choices), and I have not found any cases in which the described algorithm fails to find the highest score.

Again I'll say that my concerns about the validity of the results relate to odd kinds of ties, which are not relevant to the Condorcet-Kemeny method.

That last sentence needs clarification. Similar to the way that the "Condorcet method" does not specify what should happen when there is no Condorcet winner, the Condorcet-Kemeny method does not specify what should happen when more than one sequence has the same highest score. Those are the cases where I know I have correctly identified the implied ties for simpler cases, but there are complex (such as non-symmetrical) cases for which others might argue for a different tie structure.

Richard Fobes


On 12/22/2011 12:27 AM, Jameson Quinn wrote:


2011/12/22 Richard Fobes <[email protected]
<mailto:[email protected]>>

      But as far as I know, the algorithm always finds the highest
    score, even in the most complex cases.


If you aren't 100% sure you have the right answer, you probably don't
have the right answer 100% of the time.



    Yes, a _proof_ that the highest sequence score has been found may be
    NP-hard.  Yet, as the calculation descriptions point out, that
    becomes an issue only in situations that are like finding the
    highest sand dune in a desert.  In such cases different experts will
    argue about which candidate really should have won.


I understand that you're claiming that the only cases where your
algorithm might not give the right answer are unrealistic cases where
the "wrong" answer is not actually very wrong. Still, if you can't prove
you have the right answer, you possibly don't.

So your own claims contradict themselves. It would seem that you do not
have a polytime algorithem for finding the Kemeny-Young winner, but just
for probably finding that winner. I would not be surprised if your
algorithm was right >99.9% of the time. But if the alternative when your
algorithm is wrong is a 10% chance of a civil war which kills millions,
then that still could be an unacceptable risk. And your claim to have
solved the problem, when you haven't, actually reduce my confidence that
you've even solved it 99% of the time.

Jameson



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