# Difference between revisions of "Graduated Majority Judgment"

m (Corrected typo in V(<M)) |
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# Each grade for each candidate is tallied. | # Each grade for each candidate is tallied. | ||

# The tallies are used to find the median grade for each candidate. | # The tallies are used to find the median grade for each candidate. | ||

− | # Tallies are added to find the V(>M), V(@M), and V( | + | # Tallies are added to find the V(>M), V(@M), and V(<M) (that is, votes above median, votes at median, and votes below median or blank) for each candidate. |

# A candidate's adjustment is a number between -0.5 and +0.5, calculated using the formula (V(>M) - V(<M)) / (2 * V(@M)) | # A candidate's adjustment is a number between -0.5 and +0.5, calculated using the formula (V(>M) - V(<M)) / (2 * V(@M)) | ||

# The candidate with the highest adjustment among those with the highest median, wins. | # The candidate with the highest adjustment among those with the highest median, wins. |

## Latest revision as of 13:44, 12 June 2017

Like its predecessor Majority Judgment, **Graduated Majority Judgment** or **GMJ** is a single-winner, median-based voting system. Here's one way to explain it:

### Ballot Explanation

**The ballot will ask you to grade each candidate** on a scale from A (excellent) to F (unacceptable). You may give two candidates the same grade if you wish. Any candidate whom you do not explicitly grade will get an F from you.

### Counting

#### Conceptual

To find the winner, first the "A" votes for each candidate are counted. If no candidate gets over 50% of the voters, the "B" votes are added to the count, then "C" votes, etc. **The first candidate to get over 50% is the winner.** If two candidates would reach 50% at the same grade, each candidate's votes for that grade are added gradually, and the winner is the one who needs the smallest portion of those votes to reach 50%.

This gradual process can be stated as a "graduated score" for each candidate. If a candidate reaches 50% using 8/10 of their "C" votes (along with all their A and B votes), then their graduated score would be 1.7 (a C-). Another candidate who needed only 2/10 of their "C" votes to reach 50% would have a graduated score of 2.3 (a C+), so between those two candidates the second would be the winner.

#### Two equivalent full procedures

It works as follows:

- Each voter grades each candidate on a grading scale such as A, B, C, D, F
- The top-grade (eg, A) votes for each candidate are tallied.
- If a single candidate has a majority (that is, a number of votes greater than or equal to 50% of voters), they win.
- If no candidate has a majority, the next grade down (eg, B) is added to the tally, and go back to step 3.
- If more than one candidate has a majority, the last grade tallied is removed from the tallies, and then re-added at the smallest fraction possible so that some candidate has a majority. This is as if the votes at that grade were added 1% at a time until one candidate gets a majority.

The above process is conceptually simple, but difficult in practice. The following process gives the same results, and is simpler to run in practice:

- Each voter grades each candidate on a grading scale such as A, B, C, D, F
- Each grade for each candidate is tallied.
- The tallies are used to find the median grade for each candidate.
- Tallies are added to find the V(>M), V(@M), and V(<M) (that is, votes above median, votes at median, and votes below median or blank) for each candidate.
- A candidate's adjustment is a number between -0.5 and +0.5, calculated using the formula (V(>M) - V(<M)) / (2 * V(@M))
- The candidate with the highest adjustment among those with the highest median, wins.

If medians are converted to integers (such as 0-4), then the adjusted median scores can easily be reported alongside the full tallies.