hjugement: Majority Judgment.

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A library for the Majority Judgment.

The Majority Judgment is judged by its authors to be “superior to any known method of voting and to any known method of judging competitions, in theory and in practice”.

For introductory explanations, you can read: the README.md (en) and/or Marjolaine Leray's comic: Vous reprendrez bien un peu de démocratie ? (fr)

Or watch: Rida Laraki's conference: Le Jugement Majoritaire (fr)

For comprehensive studies, you can read Michel Balinski and Rida Laraki's:


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Versions [RSS] 1.0.0.20170804, 1.0.0.20170808, 2.0.0.20180903, 2.0.0.20181029, 2.0.0.20181030, 2.0.1.20190208, 2.0.2.20190414
Dependencies base (>=4.6 && <5), containers (>0.5) [details]
Tested with ghc ==8.0.2
License GPL-3.0-only
Author Julien Moutinho <julm+hjugement@autogeree.net>
Maintainer Julien Moutinho <julm+hjugement@autogeree.net>
Category Language
Source repo head: git clone git://git.autogeree.net/hjugement
Uploaded by julm at 2017-08-08T09:34:29Z
Distributions NixOS:2.0.2.20190414
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 3533 total (10 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-08-08 [all 1 reports]

Readme for hjugement-1.0.0.20170808

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Majority Judgment

Common language

The Majority Judgment asks us to answer to a specific, operationally pertinent, question about several choices, by judging each choice in an absolute way (i.e. such that the removal or addition of choices does not change our evaluation of the other choices) by giving them a grade (or level) on a common scale.

This common scale contains as many grades as our supposed common expertise is able to distinguish, in order to faithfully represent the properties of the attribute it tries to measure. Hence, a common scale should be crafted for each different attribute. The inter-subjective meaning of each grade being reinforced by the practice of judgments.

Examples

Examples of common scales could be:

  • [“No”, “No, but”, “Yes, but”, “Yes”] for adhesion,
  • [“None”, “Not Enough”, “Enough”, “Much”, “Too Much”] for quantity,
  • [“To Do”, “Prioritized”, “Blocking”, “Urgent”, “Too Urgent”] for priority,
  • [“Useless”, “Interesting”, “Useful”, “Indispensable”, “Enslaving”] for utility,
  • [“To Reject”, “Insufficient”, “Acceptable”, “Good”, “Very Good”, “Too Good”] for quality.

Judging one choice

For each choice taken separately, each grade of the scale is associated to the number of individual judgments which have given this grade to this choice. (eg. for 5 judges: [“Insufficient”, “Acceptable”, “Acceptable”, “Good”, “Good”]) This forms a dilated scale where each grade is expanded (resp. shrunk) when more (resp. less) supported than the others. Like this, the only grade which is defended by an absolute majority begining from one side of the scale, without being rejected by an absolute majority beginning from the other side of the scale, is the one which spans over the middlemost of this dilated scale (here: “Acceptable”). This is the most consensual majority grade for this choice.

If the number of individual judgments is small and even (eg. for 6 judges: [“Insufficient”, “Acceptable”, “Acceptable”, “Good”, “Good”, “Good”]), there is however a probability that two different grades border the middlemost of this dilated scale (here: [“Acceptable”, “Good”]). But only the lower grade (here: “Acceptable”) rewards consensus, and thus is considered to be the most consensual. Indeed, if any other choice obtains less scattered judgments (eg. [“Acceptable”, “Acceptable”, “Acceptable”, “Acceptable”, “Good”, “Good”]) all enclosed into these two grades, it will obtain a most consensual majoritary grade greater or egal to the one of this choice (here: “Acceptable”). Which would not necessarily be the case with the greater grade (here: “Good”).

Ranking many choices

To sort many choices means being able to compare them two-by-two, which is done according to their most consensual majority grade. In case of equality, the minimum individual judgments of this grade are removed from both dilated scales so that one of them has no longer any, then the comparison goes on with the new most consensual majority grades. Like this, either a choice is judged higher than the other, by the geatest number of judgments which differenciate them according to a most consensual majoritary grade, or both choices precisely have the same distribution of individual judgments.

One can see that the farest an individual judgment is from the most consensual majoritary grade, the less impact it has on the result. This rewards honest individual judgments, by ignoring as near as may be the most cranky or strategic judgements.

Properties

The Majority Judgment is:

  • allowing anonymity: interchanging the names of judges does not change the outcome: all judges are given an equal power.

  • neutral: interchanging the names of choices does not change the outcome: all choices are treated equally.

  • complete: every choice is either superior or inferior to any other choice, or both when equal. Hence the Majority Judgement is not subject to Condorcet's paradox.

  • monotone: if a choice is superior or egal to another one, and a judge increases its grade for it, it becomes strictly superior.

  • transitive: if a first choice is superior to a second one, and this second one is superior to a third, then the first is superior to the third).

  • coherent: it is independent of irrelevant alternatives as formulated by Nash-Chernoff: removal or addition of choices does not change the judges’ evaluations of the other choices. Hence the Majority Judgement is not subject to Arrow's paradox.

  • strategy-proof-in-grading: judging a choice higher or lower than our intimate judgement has the opposite impact on its most consensual majority grade.

  • partially strategy-proof-in-ranking: increasing (resp. decreasing) the rank of a choice with respect to another choice, can not decrease (resp. increase) the rank of this other choice.

  • not Condorcet-consistent: not guarantying the selection of a choice which is preferred by a majority against every of the others separately.

    Except when the electorate is “polarized”: when the higher (resp. the lower) a judge evaluates one choice the lower (resp. the higher) she/he evaluates the other, so there can be no consensus; hence when judges are most tempted to manipulate.

    This property is judged undesirable, by Michel Balinski and Rida Laraki, as they prove how easily the Majority Rule can go wrong when voting on but two candidates, let alone more.

  • not excluding the no-show paradox: it may be better for a judge not to judge than to express her/his opinion sincerely because her/his vote can tip the scales against his favorite choice.

    This property is judged insignificant, by Michel Balinski and Rida Laraki, when compared with the serious problems of methods of election, the Arrow and Condorcet paradoxes and strategic manipulation. Moreover, the only methods based on measuring that exclude the no-show paradox are point-summing methods, which, amongst other drawbacks, are highly manipulable.

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