|Part of the Politics series|
The Schulze method is a voting system developed in 1997 by Markus Schulze that selects a single winner using votes that express preferences. The method can also be used to create a sorted list of winners. The Schulze method is also known as Schwartz Sequential Dropping (SSD), Cloneproof Schwartz Sequential Dropping (CSSD), the Beatpath Method, Beatpath Winner, Path Voting, and Path Winner.
The Schulze method is a Condorcet method, which means the following: if there is a candidate who is preferred over every other candidate in pairwise comparisons, then this candidate will be the winner when the Schulze method is applied.
The output of the Schulze method (defined below) gives an ordering of candidates. Therefore, if several positions are available, the method can be used for this purpose without modification, by letting the k top-ranked candidates win the k available seats. Furthermore, for proportional representation elections, a single transferable vote variant has been proposed.
- 1 Description of the method
- 2 Example
- 3 Implementation
- 4 Ties and alternative implementations
- 5 Satisfied and failed criteria
- 6 History
- 7 Users
- 8 Notes
- 9 External links
Description of the method
The input to the Schulze method is the same as for other ranked single-winner election methods: each voter must furnish an ordered preference list on candidates where ties are allowed (a strict weak order).
One typical way for voters to specify their preferences on a ballot (see right) is as follows. Each ballot lists all the candidates, and each voter ranks this list in order of preference using numbers: the voter places a '1' beside the most preferred candidate(s), a '2' beside the second-most preferred, and so forth. Each voter may optionally:
- give the same preference to more than one candidate. This indicates that this voter is indifferent between these candidates.
- use non-consecutive numbers to express preferences. This has no impact on the result of the elections, since only the order in which the candidates are ranked by the voter matters, and not the absolute numbers of the preferences.
- keep candidates unranked. When a voter doesn't rank all candidates, then this is interpreted as if this voter (i) strictly prefers all ranked to all unranked candidates, and (ii) is indifferent among all unranked candidates.
Let be the number of voters who prefer candidate to candidate .
A path from candidate to candidate of strength is a sequence of candidates with the following properties:
- and .
- For all .
- For all .
Let , the strength of the strongest path from candidate to candidate , be the maximum value such that there is a path from candidate to candidate of that strength. If there is no path from candidate to candidate at all, then .
Candidate is better than candidate if and only if .
Candidate is a potential winner if and only if for every other candidate .
It can be proven that and together imply .:§4.1 Therefore, it is guaranteed (1) that the above definition of "better" really defines a transitive relation and (2) that there is always at least one candidate with for every other candidate .
Tennessee capital example
Imagine that Tennessee is having an election on the location of its capital. The population of Tennessee is concentrated around its four major cities, which are spread throughout the state. For this example, suppose that the entire electorate lives in these four cities and that everyone wants to live as near to the capital as possible.
The candidates for the capital are:
- Memphis, the state's largest city, with 42% of the voters, but located far from the other cities
- Nashville, with 26% of the voters, near the center of the state
- Knoxville, with 17% of the voters
- Chattanooga, with 15% of the voters
The preferences of the voters would be divided like this:
|42% of voters
(close to Memphis)
|26% of voters
(close to Nashville)
|15% of voters
(close to Chattanooga)
|17% of voters
(close to Knoxville)
In the following example 45 voters rank 5 candidates.
- 5 (meaning, 5 voters have order of preference: )
The pairwise preferences have to be computed first. For example, when comparing and pairwise, there are voters who prefer to , and voters who prefer to . So and . The full set of pairwise preferences is:
The cells for d[X, Y] have a light green background if d[X, Y] > d[Y, X], otherwise the background is light red. There is no undisputed winner by only looking at the pairwise differences here.
Now the strongest paths have to be identified. To help visualize the strongest paths, the set of pairwise preferences is depicted in the diagram on the right in the form of a directed graph. An arrow from the node representing a candidate X to the one representing a candidate Y is labelled with d[X, Y]. To avoid cluttering the diagram, an arrow has only been drawn from X to Y when d[X, Y] > d[Y, X] (i.e. the table cells with light green background), omitting the one in the opposite direction (the table cells with light red background).
One example of computing the strongest path strength is p[B, D] = 33: the strongest path from B to D is the direct path (B, D) which has strength 33. But when computing p[A, C], the strongest path from A to C is not the direct path (A, C) of strength 26, rather the strongest path is the indirect path (A, D, C) which has strength min(30, 28) = 28.The strength of a path is the strength of its weakest link.
For each pair of candidates X and Y, the following table shows the strongest path from candidate X to candidate Y in red, with the weakest link underlined.
|... to A||... to B||... to C||... to D||... to E|
|from A ...||from A ...|
|from B ...||from B ...|
|from C ...||from C ...|
|from D ...||from D ...|
|from E ...||from E ...|
|... to A||... to B||... to C||... to D||... to E|
Now the output of the Schulze method can be determined. For example, when comparing A and B, since 28 = p[A,B] > p[B,A] = 25, for the Schulze method candidate A is better than candidate B. Another example is that 31 = p[E,D] > p[D,E] = 24, so candidate E is better than candidate D. Continuing in this way, the result is that the Schulze ranking is E > A > C > B > D, and E wins. In other words, E wins since p[E,X] ≥ p[X,E] for every other candidate X.
The only difficult step in implementing the Schulze method is computing the strongest path strengths. However, this is a well-known problem in graph theory sometimes called the widest path problem. One simple way to compute the strengths therefore is a variant of the Floyd–Warshall algorithm. The following pseudocode illustrates the algorithm.
1 # Input: d[i,j], the number of voters who prefer candidate i to candidate j. 2 # Output: p[i,j], the strength of the strongest path from candidate i to candidate j. 3 4 for i from 1 to C 5 for j from 1 to C 6 if (i ≠ j) then 7 if (d[i,j] > d[j,i]) then 8 p[i,j] := d[i,j] 9 else 10 p[i,j] := 0 11 12 for i from 1 to C 13 for j from 1 to C 14 if (i ≠ j) then 15 for k from 1 to C 16 if (i ≠ k and j ≠ k) then 17 p[j,k] := max ( p[j,k], min ( p[j,i], p[i,k] ) )
This algorithm is efficient, and has running time proportional to C3 where C is the number of candidates. (This does not account for the running time of computing the d[*,*] values, which can be implemented in a straightforward way to take time proportional to C2 times the number of voters.)[original research?]
Ties and alternative implementations
When allowing users to have ties in their preferences, the outcome of the Schulze method naturally depends on how these ties are interpreted in defining d[*,*]. Two natural choices are that d[A, B] represents either the number of voters who strictly prefer A to B (A>B), or the margin of (voters with A>B) minus (voters with B>A). But no matter how the ds are defined, the Schulze ranking has no cycles, and assuming the ds are unique it has no ties.
An alternative, slower, way to describe the winner of the Schulze method is the following procedure:
- draw a complete directed graph with all candidates, and all possible edges between candidates
- iteratively [a] delete all candidates not in the Schwartz set (i.e. any candidate which cannot reach all others) and [b] delete the weakest link
- the winner is the last non-deleted candidate.
Satisfied and failed criteria
The Schulze method satisfies the following criteria:
- Unrestricted domain
- Non-imposition (a.k.a. citizen sovereignty)
- Pareto criterion:§4.3
- Monotonicity criterion:§4.5
- Majority criterion
- Majority loser criterion
- Condorcet criterion
- Condorcet loser criterion
- Schwartz criterion
- Smith criterion:§4.7
- Independence of Smith-dominated alternatives:§4.7
- Mutual majority criterion
- Independence of clones:§4.6
- Reversal symmetry:§4.4
- Resolvability criterion:§4.2
- Polynomial runtime:§2.3"
- MinMax sets:§4.8"
- Woodall's plurality criterion if winning votes are used for d[X,Y]
- Symmetric-completion if margins are used for d[X,Y]
Since the Schulze method satisfies the Condorcet criterion, it automatically fails the following criteria:
- Invulnerability to compromising
- Invulnerability to burying
Likewise, since the Schulze method is not a dictatorship and agrees with unanimous votes, Arrow's Theorem implies it fails the criterion
The Schulze method also fails
|Comparison of voting systems|
|Monotonic||Condorcet||Majority||Condorcet loser||Majority loser||Mutual majority||Smith||ISDA||LIIA||Clone independence||Reversal symmetry||Polynomial time||Participation, Consistency||Resolvability|
|Sri Lankan contingent voting||No||No||Yes||No||No||No||No||No||No||No||No||Yes||No||Yes|
The main difference between the Schulze method and the ranked pairs method can be seen in this example:
Suppose the MinMax score of a set X of candidates is the strength of the strongest pairwise win of a candidate A ∉ X against a candidate B ∈ X. Then the Schulze method, but not Ranked Pairs, guarantees that the winner is always a candidate of the set with minimum MinMax score.:§4.8 So, in some sense, the Schulze method minimizes the largest majority that has to be reversed when determining the winner.
On the other hand, Ranked Pairs minimizes the largest majority that has to be reversed to determine the order of finish, in the minlexmax sense.  In other words, when Ranked Pairs and the Schulze method produce different orders of finish, for the majorities on which the two orders of finish disagree, the Schulze order reverses a larger majority than the Ranked Pairs order.
The Schulze method was developed by Markus Schulze in 1997. It was first discussed in public mailing lists in 1997–1998 and in 2000. Subsequently, Schulze method users included Software in the Public Interest (2003), Debian (2003), Gentoo (2005), TopCoder (2005), Wikimedia (2008), KDE (2008), the Free Software Foundation Europe (2008), the Pirate Party of Sweden (2009), and the Pirate Party of Germany (2010). In the French Wikipedia, the Schulze method was one of two multi-candidate methods approved by a majority in 2005, and it has been used several times.
The Schulze method is not currently used in parliamentary elections. However, it has been used for parliamentary primaries in the Swedish Pirate Party. It is also starting to receive support in other public organizations. Organizations which currently use the Schulze method are:
- Alternative for Germany
- Annodex Association
- Associated Student Government at Northwestern University
- Associated Student Government at University of Freiburg 
- Berufsverband der Kinder- und Jugendärzte (BVKJ)
- Codex Alpe Adria
- Collective Agency
- Computer Science Departmental Society for York University (HackSoc)
- County Highpointers
- European Democratic Education Community (EUDEC)
- Five Star Movement of Campobasso, Fondi, Monte Compatri, Montemurlo, Pescara, and San Cesareo
- Flemish Student Society of Leuven
- Free Geek
- Free Hardware Foundation of Italy
- Free Software Foundation Europe (FSFE)
- Gentoo Foundation
- GNU Privacy Guard (GnuPG)
- Gothenburg Hacker Space (GHS)
- Graduate Student Organization at the State University of New York: Computer Science (GSOCS)
- Hillegass Parker House
- Ithaca Generator
- Kanawha Valley Scrabble Club
- KDE e.V.
- Kingman Hall
- Knight Foundation
- League of Professional System Administrators (LOPSA)
- Mathematical Knowledge Management Interest Group (MKM-IG)
- Music Television (MTV)
- New Liberals
- North Shore Cyclists (NSC)
- Pirate Party Australia
- Pirate Party of Austria
- Pirate Party of Belgium
- Pirate Party of Brazil
- Pirate Party of Germany
- Pirate Party of Iceland
- Pirate Party of Italy
- Pirate Party of the Netherlands
- Pirate Party of New Zealand
- Pirate Party of Sweden
- Pirate Party of Switzerland
- Pirate Party of the United States
- Pittsburgh Ultimate
- Platform Brandenburg 
- Sender Policy Framework (SPF)
- Software in the Public Interest (SPI)
- Students for Free Culture
- Sugar Labs
- Technology House
- University of British Columbia Math Club
- Vidya Gaem Awards
- Wikipedia in French, Hebrew, Hungarian, and Russian.
- Markus Schulze, A new monotonic, clone-independent, reversal symmetric, and condorcet-consistent single-winner election method, Social Choice and Welfare, volume 36, number 2, page 267–303, 2011. Preliminary version in Voting Matters, 17:9-19, 2003.
- Under reasonable probabilistic assumptions when the number of voters is much larger than the number of candidates
- Douglas R. Woodall, Properties of Preferential Election Rules, Voting Matters, issue 3, pages 8-15, December 1994
- Tideman, T. Nicolaus, "Independence of clones as a criterion for voting rules," Social Choice and Welfare vol 4 #3 (1987), pp 185-206.
- Markus Schulze, Condorect sub-cycle rule, October 1997
- Mike Ossipoff, Party List P.S., July 1998
- Markus Schulze, Tiebreakers, Subcycle Rules, August 1998
- Markus Schulze, Maybe Schulze is decisive, August 1998
- Norman Petry, Schulze Method - Simpler Definition, September 1998
- Markus Schulze, Schulze Method, November 1998
- Anthony Towns, Disambiguation of 4.1.5, November 2000
- Norman Petry, Constitutional voting, definition of cumulative preference, December 2000
- Process for adding new board members, January 2003
- Gentoo Foundation Charter
- Aron Griffis, 2005 Gentoo Trustees Election Results, May 2005
- Lars Weiler, Gentoo Weekly Newsletter 23 May 2005
- Daniel Drake, Gentoo metastructure reform poll is open, June 2005
- Grant Goodyear, Results now more official, September 2006
- 2007 Gentoo Council Election Results, September 2007
- 2008 Gentoo Council Election Results, June 2008
- 2008 Gentoo Council Election Results, November 2008
- 2009 Gentoo Council Election Results, June 2009
- 2009 Gentoo Council Election Results, December 2009
- 2010 Gentoo Council Election Results, June 2010
- 2007 TopCoder Collegiate Challenge, September 2007
- section 3.4.1 of the Rules of Procedures for Online Voting
- article 6 section 3 of the constitution
- Fellowship vote for General Assembly seats, March 2009
- And the winner of the election for FSFE's Fellowship GA seat is ..., June 2009
- 11 of the 16 regional sections and the federal section of the Pirate Party of Germany are using LiquidFeedback for unbinding internal opinion polls. In 2010/2011, the Pirate Parties of Neukölln (link), Mitte (link), Steglitz-Zehlendorf (link), Lichtenberg (link), and Tempelhof-Schöneberg (link) adopted the Schulze method for its primaries. Furthermore, the Pirate Party of Berlin (in 2011) (link) and the Pirate Party of Regensburg (in 2012) (link) adopted this method for their primaries.
- Choix dans les votes
- fr:Spécial:Pages liées/Méthode Schulze
- §12(4), §12(15), and §14(3) of the bylaws, April 2013
- Election of the Annodex Association committee for 2007, February 2007
- Ajith, Van Atta win ASG election, April 2013
- §6 and §7 of its bylaws, May 2014
- §9a of the bylaws, October 2013
- Project Logo, October 2009
- "Codex Alpe Adria Competitions". 0xaa.org. 2010-01-24. Retrieved 2010-05-08.
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- Report on HackSoc Elections, December 2008
- Adam Helman, Family Affair Voting Scheme - Schulze Method
- "Guidance Document". Eudec.org. 2009-11-15. Retrieved 2010-05-08.
- Democratic election of the server admins, July 2010
- Campobasso. Comunali, scattano le primarie a 5 Stelle, February 2014
- Fondi, il punto sui candidati a sindaco. Certezze, novità e colpi di scena, March 2015
- article 25(5) of the bylaws, October 2013
- 2° Step Comunarie di Montemurlo, November 2013
- article 12 of the bylaws, January 2015
- Ridefinizione della lista di San Cesareo con Metodo Schulze, February 2014
- article 51 of the statutory rules
- Voters Guide, September 2011
- Eletto il nuovo Consiglio nella Free Hardware Foundation, June 2008
- Poll Results, June 2008
- GnuPG Logo Vote, November 2006
- §14 of the bylaws
- "User Voting Instructions". Gso.cs.binghamton.edu. Retrieved 2010-05-08.
- Haskell Logo Competition, March 2009
- "Hillegass-Parker House Bylaws § 5. Elections". Hillegass-Parker House Wiki. Retrieved 25 April 2014.
- article VI section 10 of the bylaws, November 2012
- A club by any other name ..., April 2009
- Knight Foundation awards $5000 to best created-on-the-spot projects, June 2009
- Kubuntu Council 2013, May 2013
- article 8.3 of the bylaws
- The Principles of LiquidFeedback. Berlin: Interaktive Demokratie e. V. 2014. ISBN 978-3-00-044795-2.
- Lumiera Logo Contest, January 2009
- "Madisonium Bylaws - Adopted". Google Docs.
- The MKM-IG uses Condorcet with dual dropping. That means: The Schulze ranking and the ranked pairs ranking are calculated and the winner is the top-ranked candidate of that of these two rankings that has the better Kemeny score. See:
- "Wahlmodus" (in German). Metalab.at. Retrieved 2010-05-08.
- Benjamin Mako Hill, Voting Machinery for the Masses, July 2008
- bylaws, September 2014
- "2009 Director Elections". noisebridge.net.
- NSC Jersey election, NSC Jersey vote, September 2007
- "Online Voting Policy". openembedded.org.
- National Congress 2011 Results, November 2011
- §6(10) of the bylaws
- The Belgian Pirate Party Announces Top Candidates for the European Elections, January 2014
- article 7.5 of the bylaws
- Rules adopted on 18 December 2011
- Verslag ledenraadpleging 4 januari, January 2015
- "23 January 2011 meeting minutes". pirateparty.org.nz.
- Piratenversammlung der Piratenpartei Schweiz, September 2010
- Article IV Section 3 of the bylaws, April 2013
- 2006 Community for Pittsburgh Ultimate Board Election, September 2006
- §16(4) of the bylaws, November 2014
- Committee Elections, April 2012
- LogoVoting, December 2007
- Squeak Oversight Board Election 2010, March 2010
- Bylaws of the Students for Free Culture, article V, section 1.1.1
- Free Culture Student Board Elected Using Selectricity, February 2008
- Election status update, September 2009
- §10 III of its bylaws, June 2013
- Minutes of the 2010 Annual Sverok Meeting, November 2010
- constitution, December 2010
- article VI section 6 of the bylaws
- Ubuntu IRC Council Position, May 2012
- See this mail.
- "/v/GAs - Pairwise voting results". vidyagaemawards.com.
- See e.g. here  (May 2009), here  (August 2009), and here  (December 2009).
- See here and here.
- "Девятнадцатые выборы арбитров, второй тур" [Result of Arbitration Committee Elections]. kalan.cc.
|Wikimedia Commons has media related to Schulze method.|
- Official website
- Condorcet Computations by Johannes Grabmeier
- Spieltheorie (German) by Bernhard Nebel
- Accurate Democracy by Rob Loring
- Christoph Börgers (2009), Mathematics of Social Choice: Voting, Compensation, and Division, SIAM, ISBN 0-89871-695-0
- Nicolaus Tideman (2006), Collective Decisions and Voting: The Potential for Public Choice, Burlington: Ashgate, ISBN 0-7546-4717-X
- preftools by the Public Software Group
- Condorcet PHP PHP library supporting multiple Condorcet methods, including that of Schulze.
- Arizonans for Condorcet Ranked Voting