[EM] Fw: Best Single-Winner Method: RR vs. MJ+

Ted Stern dodecatheon at gmail.com
Wed Jul 3 11:08:47 PDT 2019


Hi Steve,

Your proposed MJ+ is just Bucklin; that is, Bucklin-ratings, with equal
ratings allowed.

Are you saying that you no longer consider it necessary to break ties
according to B&L's method, by dropping median ballots?

Again, my objective for single winner elections is to find a strategically
robust method that will almost always find the candidate whose variance
from the voters is minimized.  That is, the sum of all sentiment distances,
squared, over all ballots, will be minimized by the winner.In 2D geometry,
the variance minimizing point in a figure is also the average location.


Majority Judgment, I find, sometimes does this, but often captures the
candidate who maximizes total support above the median score.  This tends
to choose the largest factional winner more often than it finds the
centroid candidate.

Unfortunately, in a political election, one can't really measure absolute
distance from each candidate to each voter.  So many of our methods are
attempts to infer sentiment distance from the voter's relative ratings or
rankings.

Seemingly, finding a candidate with the highest total score should choose
the variance minimizing candidate, but what if some fraction of voters
strategically exaggerate their preferences?  B&L claim that the median is
the best way to avoid those votes, but maybe there is another way.

What if, instead of finding the total of all ballots, for each candidate,
you drop the highest and lowest voting ballots for a candidate, and take
the entire ballot in the middle slot?  This is called Trimmed Mean voting,
and it has some nice properties.

I would also recommend that you look at Warren Smith's analysis of median
rating methods: https://rangevoting.org/MedianVrange.html

On Tue, Jul 2, 2019 at 5:59 PM steve bosworth <stevebosworth at hotmail.com>
wrote:

>
>
> ------------------------------
> *From:* steve bosworth <stevebosworth at hotmail.com>
> *Sent:* Wednesday, July 3, 2019 12:45 AM
> *To:* election-methods at lists.electorama.com
> *Subject:* Best Single-Winner Method: RR vs. MJ+
>
>
>
> ------------------------------
> *From:* steve bosworth <stevebosworth at hotmail.com>
> *Sent:* Sunday, June 30, 2019 3:00 AM
> *To:* Ted Stern
> *Subject:* Steve's request for clarification: Best Single-Winner Method:
> RR vs. MJ+
>
>
> Hi Ted,
>
>
> Thank you for giving me an additional concept to think about, namely, the
> *centroid of the population*.   Perhaps my need to seek some
> clarification about this has made my reply to you later than expected.  Such
> clarifications may enabling our next dialogue to be even more productive.
>
>
> Of course, initially I saw the *centroid* as best expressed by Balinski’s
> definition of the MJ winner.  However, given your apt reference to the
> wikipedia  article on MJ, I can see that one might instead argue that the
> centroid would be more completely expressed and represented by the
> candidate who had received the l*argest* absolute majority of grades
> equal to or above the highest median-grade received by any candidate,
> e.g. candidate C in the wikipedia example.  Balinski's tie breaking
> procedure would not be used unless there were also a tie between two or
> more candidates because they have exactly the same number of such grades.
> We might call this modification MJ+.
>
>
> Assuming for the moment that I now prefer MJ+, are we in total agreement
> with each other?
>
>
> If you have a different concept of the *centroid*, please give me your
> definition and explain the process by which it can be discovered for any
> given population.  Exactly what data would we have to collect before we
> could  minimize *the sum of the distance squared from all voters to the
> winning candidate*.  How would we process this date so we could make this
> calculation?
>
>
> I look forward to your ideas.
>
>
> Steve
>
>
> ----
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>
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