[EM] Majority Judgment v. RCIPE version 2 (Richard Lung)

[steve bosworth]

________________________________


To Richard Lung from Steve Bosworth:

However, since politics and voting are not a " purely mathematical problem" (see below), it seems to me that using Balinski's Majority Judgment voting method is a much more meaningful way to collect a "complete scale of [evaluative] measurement of candidate support, positive and negative". In an MJ post-election report, we see that every candidate received the same number of evaluations, but a different set of regarding each voter's judgment of the suitability for office of each candidate: Excellent, Very Good, Good, Acceptable, Poor, or Reject. The winner is the one who has the highest median grade. If there is a tie, the winner is the candidate who alone continues to have the highest median grade at the end of repeatedly removing the current median grade from each of the tied candidates. What do you think?
Steve

Date: Sun, 15 Aug 2021 06:05:19 +0100
From: Richard Lung <voting at ukscientists.com>
To: "Richard, the VoteFair guy" <electionmethods at votefair.org>
Cc: "election-methods at electorama.com"
        <election-methods at electorama.com>
Subject: Re: [EM] RCIPE version 2
Message-ID: <e46f8841-2f36-7df0-5799-c71817923e25 at ukscientists.com>
Content-Type: text/plain; charset="utf-8"; Format="flowed"


Looking at election method as a purely mathematical problem, the
objection to existing voting method is that it lacks a complete scale of
measurement of candidate support, positive and negative. This is achievd
by making an exclusion count the polar opposite of an election count, on
the same continuum. The zero point in the middle is the zero surplus
votes of just elected candidates. Or alternatively the zero deficit
votes of just not unelected candidates.
Once youve got this bipolar (or indeed binomial) count youve got one
complete dimension, a basic standard of scientific measurement.
(It's possible to go onto more than one dimension, as used in natural
science.)

Richard Lung.




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