Abstract
I introduce a diagram for describing and analyzing singlewinner elections in which voters rank the candidates—a class of voting systems including positional methods (e.g. plurality, Borda count, antiplurality), Condorcet methods, and instantrunoff voting (i.e. rankedchoice voting or the alternative vote). The diagram shows how the outcome of an election depends on each candidate’s share of top rankings as a function of the voting system and the pattern of lower rankings. Using as examples two Brexit polls, a mayoral election in San Francisco, and the US’s first instantrunoff congressional election (all since 2018), I show how the diagram can concisely present preferences and results under different voting systems, identify Condorcet cycles, highlight system properties such as joininconsistency and the noshow paradox, and illuminate strategic voting incentives.
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1 Introduction
In November, 2018, as the initial deadline for the United Kingdom’s departure from the European Union (“Brexit”) approached, YouGov conducted a survey in which over 20,000 British respondents were asked to rank three alternatives: remain in the EU (Remain), accept the withdrawal agreement promoted by Prime Minister Theresa May (Deal), or leave the EU without a deal (No Deal). Table 1 shows the estimated proportion of the UK electorate with each possible ordering of the three alternatives.^{Footnote 1} The poll was highly salient as opponents of Brexit clamored for a second referendum to allow voters to choose among these alternatives.^{Footnote 2}
If voters voted according to the preferences in Table 1, which alternative would have won in a hypothetical Brexit referendum in November 2018? Does the winner depend on the method used (e.g. plurality vs. Borda count)? Which voting method would produce the most favorable result for each alternative? With a bit of computation we can certainly answer these questions using the numbers in Table 1 and present the result in additional tables.^{Footnote 3} But tabular presentations are often less intuitive than graphical ones, including in the case of elections (Saari 1994; Tufte 2001; Kastellec and Leoni 2007). A good diagram would quickly indicate, in a consistent way for several relevant election methods, not only who wins under a given method but also how close each other candidate was to winning. Beyond representing the outcomes for a particular set of preferences like those in Table 1, a good diagram might also illustrate some of the desirable and undesirable properties of each voting system, as seen in the work of Donald Saari (1994, 2011).
The fundamental reason why we need such a diagram is that in systems where voters’ second choices matter (as in e.g. Borda count or instantrunoff) the election outcome depends on more numbers than can be comfortably digested in a table or visualized in a straightforward way. The preferences in Table 1 can be summarized by five numbers,^{Footnote 4} but humans find it difficult to visualize more than three dimensions (and even to make sense of twodimensional representations of three dimensions). What we need is a digestible and consistent way to illustrate the results of a wide range of ordinal voting methods. As I discuss in the next section, diagrams exist for visualizing some classes of ordinal methods [most notably Saari (1994)’s triangle for representing positional methods], but as far as I know there is no other diagram that can depict a result under such disparate methods as the Borda count, the Kemeny (Condorcet) method, and instantrunoff voting (IRV) in a consistent way.
This paper introduces a consistent approach to diagramming the result of any anonymous singlewinner election method in which voters submit ranked preferences (i.e. ordinal voting systems). It can be used not just to analyze a specific result for a given set of ordinal ballots and one voting method but also to compare results across voting methods and analyze some of the properties of these methods. To address the dimensionality problem, the diagram shows which alternative wins as a function of two parameters (the proportion of voters ranking each candidate first) conditional on the voting rule and three or more other parameters (the proportion of each candidate’s supporters who rank each other candidate second). Put differently, the diagram emphasizes how the winner in a given system depends on the row sums of Table 1 as a function of the column proportions within each row. This approach easily accommodates incomplete rankings, which pose a problem for some previous graphical approaches,^{Footnote 5} and it can be useful in IRV and Condorcet elections with more than three alternatives. The tools for making these diagrams are freely available as an R package.^{Footnote 6}
The diagram has several uses. Most directly, it tells us how the election result would change in a given system if the distribution of voters’ first choices were to shift, holding fixed the pattern of second preferences (as might happen if turnout increased or decreased among the supporters of one of the alternatives); it can also do the opposite, telling us how the result would change if the distribution of voters’ first choices remained fixed but the pattern of second choices shifted. By comparing two diagrams representing different elections under the same voting rule, we can see how a shift in preferences involving both first and second preferences might affect the outcome. By comparing diagrams from two systems for a given preference profile, we can also see how the result would change holding expressed preferences fixed if we moved from one system to another. The diagram can make intuitive some wellknown properties of voting systems, such as joininconsistency or the noshow paradox. Because the diagram summarizes five preference parameters in two dimensions,^{Footnote 7} it can be viewed not just as a means of analyzing election methods but also as a concise summary of preference profiles.
2 The plurality ternary diagram and previous extensions to it
The diagram introduced this paper is an extension of the ternary diagram that has been used to represent vote shares in threecandidate plurality elections since at least (Ibbetson 1965). In this section, I review the ternary diagram and previous extensions to it.
Consider a plurality election or referendum in which voters choose among three alternatives, a, b, and c. Let \(v_i\) denote the proportion of voters choosing some alternative i. Then a plurality election result can be summarized by the vote shares \(v_a, v_b, v_c\) and represented on a ternary diagram, an example of which appears in Fig. 1a. A ternary diagram represents three shares that must sum to one (and thus that can be summarized by two numbers) in a way that maintains symmetry among the three alternatives.^{Footnote 8} The ternary diagram in Fig. 1a represents the proportion of voters supporting Remain, Deal, and No Deal in an election mirroring the Nov. 2018 Brexit poll. Each vertex indicates a result where the named alternative receives all votes (e.g. a result at the bottomleft vertex indicates Remain receiving a vote share of 1). The gray lines indicate results where a given alternative receives a given share; moving away from the Remain vertex, for example, we encounter results where Remain wins shares of 0.75, 0.5, and 0.25 (indicated by solid gray lines); dashed and dotted lines show corresponding levels for No Deal and Deal, respectively. The gray dot in the center shows a result where the shares are equal. The black dot below and to the left of the center indicates the estimated proportion of voters listing each alternative first in the November 2018 poll (i.e. the row sums in Table 1).
To better understand a plurality result, we can divide the ternary diagram into regions in which each candidate would win. Note that \(v_i = v_j\) describes the line where alternatives i and j receive the same vote share, which we will call the ijplurality tie line. As an example, the DealNo Deal plurality tie line is drawn in Fig. 1b. Figure 1c adds the plurality tie lines for the other two pairs of alternatives; jointly, these three lines partition the ternary diagram into six subtriangles, each corresponding to a unique order of finish among the three alternatives. Figure 1d then divides the ternary diagram into three win regions identifying results that would lead to each alternative being chosen; a black dot indicates the actual plurality result given voting ballots reflecting Table 1. Remain is the plurality winner.
Other researchers have extended the ternary diagram for plurality elections beyond the threealternative case by having two of the vertices represent votes for specific candidates and the third represent votes for all other candidates. Grofman et al. (2004) apply this approach to districtlevel Italian election results, showing a consolidation of support toward the two main party blocs over three elections. Grofman et al. (2004) also review the Nagayama diagram, which similarly plots the vote share for the candidate receiving the largest and secondlargest number of votes and can be used to track competitiveness and party fragmentation (see also Dunleavy and Diwakar 2013). These approaches could also be used to depict vote shares in PR elections or firstpreference shares in IRV elections (e.g. in Australia), although clearly when the support for some alternatives is aggregated (and lower preferences are ignored, in IRV) we do not retain enough information to determine the election outcome.^{Footnote 9}
Saari (1994) generalized the plurality ternary diagram to voting methods in which the alternatives are assigned points or scores, a class that includes positional methods (e.g. plurality, Borda count, antiplurality) and approval voting. The basic idea is simple: whereas the plurality ternary diagram represents the share of votes won by each alternative, Saari’s diagram represents the share of points won by each alternative. Figure 2a illustrates Saari’s approach (which I will call the pointshare triangle^{Footnote 10}) using the Nov. 2018 Brexit preferences from Table 1. The point shares for each alternative are shown for plurality [where points for first, second, and third rankings are (1, 0, 0)], Borda count [where points are \((1,\frac{1}{2}, 0)\)], and antiplurality [where points are (1, 1, 0)]. The line connecting these results, which Saari (1994) calls the procedure line, indicates the point shares under every possible positional system between the two extremes of plurality and antiplurality. In this case, it shows that the winner changes from Remain to Deal as we assign a greater weight to second rankings; the order of finish under plurality is RemainDealNo Deal, but as we give more weight to second rankings Remain drops below Deal and ultimately to last place behind No Deal. The pointshare triangle is an impressively compact way to summarize the possible outcomes for a given ballot profile under various positional methods, but it cannot be easily extended to handle voting methods (such as Condorcet or IRV) in which the winner is not determined by a point tally.^{Footnote 11}
Saari (1994) introduced another triangle designed to summarize a profile of ballots or preferences; we can call this the profile triangle. The profile triangle reorganizes preference data like that in Table 1 and adds summary numbers relevant to positional and pairwise voting procedures. Figure 2b illustrates the approach with the Brexit data from Table 1. Each of the six numbers inside the triangle indicates the proportion of ballots with a given preference ordering; e.g. 37.5% is the percentage of ballots ranking the alternatives RemainDealNo Deal. At the middle of the edge connecting two alternatives (e.g. the edge between the Remain vertex and the Deal vertex), we write the proportion favoring each of those alternatives in a pairwise vote (e.g. 50.1% for Remain and 49.9% for Deal).^{Footnote 12} At the vertex for an alternative (e.g. the Remain vertex), we write the positional score for that alternative, where a first ranking is worth one point and a second ranking is worth s (e.g. 46.2 + 9.7s for Remain).^{Footnote 13} Saari (2011) uses the profile triangle to show how one can generate disagreements between the plurality result, other positional results, and pairwise results (see also Diss and Tlidi 2018); he also extends this representation to develop his profile coordinate approach to analyzing voting rules. The profile triangle can be viewed as a specially formatted reorganization of the numbers in Table 1 that makes it easier to determine the winner under various methods (including Condorcet and IRV).^{Footnote 14}
Another way to extend the plurality ternary diagram to threecandidate ordinal elections is to replace its three vertices (one for each alternative) with six vertices (one for each possible ranking), but in these higherdimensional spaces the tradeoff between geometric intuition and generality becomes stark. For example, Saari (2011) uses an “opened tetrahedron” to represent restricted profiles in which only four of the six possible rankings are chosen; to allow for five rankings to be chosen, he recommends similarly opening a fourdimensional tetrahedron into five threedimensional tetrahedrons, a prospect that some analysts find daunting (e.g. Dunleavy and Diwakar 2013). (The problem only becomes worse if we allow incomplete rankings, such that there are nine vertices instead of six.) Geometric representations that allow a dimension for each ordering seem better suited for proving voting system properties than for communicating election results or exploring the properties of naturally occurring profiles, which are my objectives.
This paper introduces a diagram that draws on these previous approaches but offers several innovations. My diagram maintains the basic setup of the classic ternary diagram and Saari’s pointshare triangle, in that each vertex of the triangle corresponds to a distinct alternative, and a result closer to a vertex indicates more support for the associated alternative. Like Saari’s pointshare triangle, my diagram is not restricted to plurality elections and can depict the election result for a fixed ordinal profile under a variety of rules. Unlike Saari’s pointshare triangle, my diagram can show results for any ordinal method (including Condorcet methods and IRV), not just pointbased methods.^{Footnote 15} My approach can be seen as a new extension of the plurality ternary diagram that more fully represents ordinal preference data and, unlike previous diagrams, accommodates the full range of ordinal voting methods (including when some ballots do not rank all candidates). As an added benefit, my diagram illustrates properties of voting systems that, although known, can otherwise be hard to understand.
3 The diagram
Consider an ordinal election or referendum in which voters rank three alternatives. Let \(v_{ij}\) denote the proportion of voters ranking alternative i first and j second, for \(i, j \in \{a, b, c\}\). (A ballot ranking i first and j second implicitly ranks k last.) Let \(v_{ix}\) denote the proportion of ballots listing \(i \in \{a, b, c \}\) first and no candidate second, which is a relevant possibility if incomplete rankings are permissible.^{Footnote 16} Then the winner of any election using an anonymous ordinal voting method depends on the vector
Because its components must sum to one, \({\mathbf {v}}\) lives on the eightdimensional simplex. In principle, that eightdimensional space could be divided into win regions in the same way the twodimensional ternary diagram was above. The problem is that visualizing win regions in eight dimensions is essentially impossible.
My solution is to depict win regions as a function of firstpreference shares (the proportion of voters ranking each candidate first) given conditional secondpreference shares (the proportion of voters ranking each candidate second conditional on ranking a given candidate first). Let \(v_a \equiv v_{ab} + v_{ac} + v_{ax}\) denote a’s firstpreference share, with \(v_b\) and \(v_c\) defined equivalently; let \(p_{ab} \equiv \frac{v_{ab}}{v_a}\) indicate the proportion of ballots listing b second conditional on listing a first, with \(p_{ac}\), \(p_{ax}\), \(p_{ba}\), etc. defined similarly and the set of these proportions collectively referred to as conditional secondpreference shares. Noting that \(v_c = 1  v_a  v_b\) and \(p_{ax} = 1  p_{ab}  p_{ac}\) (and similarly for \(p_{bx}\) and \(p_{cx}\)), we can express each component of \({\mathbf {v}}\) in terms of two firstpreference shares (\(v_a\) and \(v_b\)) and six conditional secondpreference shares (\(p_{ab}, p_{ac}, p_{ba}, p_{bc}, p_{ca}, p_{cb}\)).^{Footnote 17} We can then use the ternary diagram to represent the proportion of voters ranking each alternative first \((v_a, v_b, v_c)\), just as we do (implicitly) in the plurality ternary diagram, while dividing the diagram into regions in which each alternative would win, given the conditional secondpreference shares and the voting system. I call these regions firstpreference win regions.
Note that by definition the winner of any anonymous ordinal voting method depends only on \({\mathbf {v}}\), and note also that (given the conditional secondpreference shares) \({\mathbf {v}}\) depends only on \(v_a\), \(v_b\), and \(v_c\). It follows that, again given the conditional secondpreference shares, the winner of any anonymous ordinal voting system depends only on \(v_a\), \(v_b\), and \(v_c\) and can therefore be identified on the ternary diagram.
I now apply this approach to prominent ordinal voting rules.
3.1 Condorcet methods
A Condorcet method selects as winner a candidate who wins a pairwise contest against every other candidate (i.e. a Condorcet winner). Condorcet methods differ in how to proceed if there is no Condorcet winner. I begin by showing how to identify firstpreference regions in which there is a Condorcet winner; I then show how to fill in the remaining cyclic region depending on the specific Condorcet method.
Let a majority tie line for two candidates indicate firstpreference shares where, given conditional secondpreference shares, the two candidates would tie in a pairwise majority vote. This is true for i and j where
which can be written in terms of firstpreference shares and conditional secondpreference shares as
Equation (1) describes the ij majority tie line.
To construct a majority tie line we identify the two points where the line intersects an edge of the ternary diagram. One intersection point, which we call y, is located where \(v_k = 0\) and \(v_i = v_j = \frac{1}{2}\); this is where half of the voters rank i first and the other half rank j first, producing a majority tie. Point y is labeled for the DealNo Deal majority tie line on Fig. 3a, b. The location of the other intersection point of the ijmajority tie line, which we call z, depends on the conditional secondpreference shares for ballots ranking k first. If \(p_{kj} > p_{ki}\) (i.e. if ballots ranking k first more often rank j second than i second), then z is located where \(v_i = v_k (p_{kj}  p_{ki})\), \(v_j = 0\), and \(v_k = 1v_i\); otherwise, z is located where \(v_i = 0\), \(v_j = v_k (p_{ki}  p_{kj})\), and \(v_k = 1v_j\). Figure 3a shows extreme cases for the DealNo Deal majority tie line: if Remain voters (i.e. those who submit ballots ranking Remain first) always rank Deal second, then the DealNo Deal majority tie line is the one connecting points y and \(z_1\); if Remain voters always rank No Deal second, then the DealNo Deal majority tie line is the one connecting point y and \(z_2\).
Figure 3b shows the actual DealNo Deal majority tie line given the Brexit preferences from the Nov. 2018 poll. Remain voters are much more likely to rank Deal second than No Deal second, such that the DealNo Deal majority tie line is much closer to the No Deal vertex than the Deal vertex, and Deal beats No Deal in a pairwise majority vote over much more than half of the ternary diagram. The key general point is that the “tilt” of the ijmajority tie line is a measure of how k’s supporters (i.e. voters who rank k first) tend to rank i and j: the more k’s supporters favor i as their second choice, the more the ijmajority tie line tilts away from i’s vertex, indicating that i can tie j in a pairwise vote when receiving a lower firstpreference share.
Figure 3c shows all three majority tie lines for the Brexit case. The angle of the majority tie lines reflect Remain voters’ preference for Deal over No Deal (noted immediately above), Deal voters’ preference for No Deal over Remain (indicated by the counterclockwise tilt of the RemainNo Deal tie line), and No Deal voters’ preference for Deal over Remain (indicated by the counterclockwise tilt of the RemainDeal tie line).
Generically, majority tie lines do not intersect at a point; the three majority tie lines divide the ternary into six subtriangles in which a different transitive majority preference order obtains, plus one subtriangle (labeled “Cycle” in Fig. 3c) in which there is a majority cycle: for firstpreference shares in this triangle (given the pattern of second preferences), a majority prefers Deal over No Deal (because the result is above the DealNo Deal majority tie line), a majority prefers No deal to Remain (because the result is to the right of the RemainNo deal majority tie line), and a majority prefers Remain to a Deal (because the result is below the RemainDeal majority tie line).
Figure 3d shows the implied firstpreference win regions given the Nov. 2018 pattern of conditional second preferences, with a black dot indicating the firstpreference result. (To aid comparison across diagrams, I include faint plurality tie lines and lines where each alternative receives half of firstpreference votes; firstpreference win region boundaries for Condorcet methods must be within the triangle formed by the latter set of lines.) Deal and Remain essentially tie for first, with the firstpreference result lying along the DealRemain majority tie line.
In Fig. 3d, I leave the cyclic triangle unfilled, but there are various methods for determining the winner in the event of a cycle among three candidates. On the diagram, the cyclic triangle can be filled in according to the specific method:

Black’s method (or Condorcet–Borda) decides the winner by Borda count, so the cyclic triangle can be filled in using the method shown in the next section.

CondorcetIRV (equivalent in the threecandidate case to what Tideman (2017, p. 232) calls Alternative Smith) decides the winner by instant runoff voting, so the cyclic triangle can be filled in using the IRV method shown further below.

The Kemeny, Kemeny–Young, or minimax/maximin method^{Footnote 18} chooses the candidate with the smallest losing margin. To fill in the cyclic triangle, we must define and draw an additional set of tie lines that identify firstpreference results where (given the pattern of second preferences) two losing margins are the same. These tie lines bisect the vertices of the cyclic triangle and meet at a point within it. I give an example for the Brexit poll in Figs. 6 and 7.
3.2 Borda count and other positional methods
Given three candidates, a positional method gives each alternative 1 point for each ballot on which it is ranked first and \(s \in [0,1]\) points for every ballot on which it is ranked second; the winner is the candidate with the most points. Special cases include plurality (\(s = 0\)), Borda count (\(s=1/2\)), and antiplurality (\(s = 1\)).
A positional tie line for two candidates indicates firstpreference shares where the two candidates have the same number of points, given s and the conditional secondpreference shares. Assuming that an ix ballot (i.e. one that lists i only) awards 1 point to i and 0 to j and k,^{Footnote 19} candidates i and j tie when
which can be written in terms of firstpreference shares, conditional secondpreference shares, and s as
This describes the ij positional tie line. The firstpreference win regions are defined by the intersection of positional tie lines.
To construct the diagram, we begin by identifying the point (y) where the positional tie line intersects the edge connecting the i vertex and the j vertex; at point y, i and j tie while k receives no firstpreference support (i.e. \(v_k = 0\)). Substituting \(v_k = 0\) and \(v_j = 1  v_i\) into Eq. (2) and rearranging, we obtain
The location of point y depends on how often j’s supporters rank i second and vice versa. If ballots ranking j first never rank i second while ballots ranking i first always rank j second (i.e. \(p_{ji} = 0\) and \(p_{ij} = 1\)), then \(v_i = \frac{1}{2s}\) at point y; thus for Borda count (\(s = 1/2\)) point y would be located where \(v_i = 2/3\) and \(v_j = 1/3\), which (assuming i is No Deal and j is Deal) is the point labeled \(y_1\) on Fig. 4a. If by contrast ballots ranking j always rank i second while ballots ranking i first never rank j second (i.e. \(p_{ji} = 1\) and \(p_{ij} = 0\)), then \(v_i = \frac{s}{2s}\) at point y; thus for Borda count (\(s = 1/2\)), point y would be located where \(v_i = 1/3\) and \(v_j = 2/3\), which is the point labeled \(y_2\) on Fig. 4a.
Next we seek to identify point z, where the ijpositional tie intersects another edge of the ternary diagram. The location of this point depends on several conditional secondpreference shares, but whether it lies on the ik edge or the ij edge depends on the sign of \(p_{ki}  p_{kj}\): if k’s supporters more often rank j second, then z lies on the edge between the i and k vertices; otherwise, z lies on the edge between the j and k vertices. More specifically, by substituting \(v_j = 0\) and \(v_k = 1  v_i\) into Eq. (2), we obtain
which locates z in the case where k’s supporters favor j; by substituting \(v_i = 0\) and \(v_k = 1  v_j\) into Eq. (2), we obtain
which locates z in the case where k’s supporters favor i. On Fig. 4a, \(z_1\) indicates the extreme case for the DealNo Deal tie line (under Borda count) where all Remain supporters rank Deal second, and \(z_2\) indicates the other extreme case where all Remain supporters rank No Deal second.^{Footnote 20}
Broadly, then, the angle of the ijpositional tie line can (like the ijmajority tie line) be thought of as a measure of how k’s supporters feel about i and j: the more k’s supporters favor i as their second choice, the more the ijpositional tie line tilts away from i’s vertex. The connection is not as clear as in the majority tie line case, though, because the location and angle of the line also depends on the second preferences of i’s and j’s supporters.
Figure 4b shows the actual DealNo Deal tie line for Borda count (given conditional second preferences from the Nov. 2018 Brexit poll). Point y is located near the midpoint of the DealNo Deal edge, indicating that supporters of Deal and No Deal are about equally likely to list each other’s first choice second; point z is located close to the midpoint of the RemainNo Deal edge, indicating that supporters of Remain are far more likely to list Deal second than No Deal second.
Figure 4c shows all three Borda tie lines. Unlike majority tie lines, positional tie lines always intersect at a point,^{Footnote 21} dividing the ternary diagram into six subtriangles (each corresponding to an order of finish).
Finally we obtain the firstpreference win regions, shown in Fig. 4d. Because Deal attracts most second preferences from voters whose first preference is Remain or No Deal, Deal’s firstpreference win region is substantially larger than the other two. The firstpreference result is located comfortably inside Deal’s win region, indicating that Deal would win by Borda count.
3.3 Instantrunoff voting
In an instantrunoff voting election (e.g. for Australian lowerhouse seats),^{Footnote 22} voters submit ranked ballots and the lowestscoring candidates are successively eliminated until only one remains. In the threecandidate case where elimination is based on first preferences (i.e. plurality votes), this simplifies to a procedure in which the candidate who receives the lowest firstpreference share is eliminated and, of the remaining candidates, the winner is the one who is ranked higher on a larger share of ballots.
The IRV ternary diagram is built from a combination of positional tie lines (determining who is eliminated) and majority tie lines (determining which of the remaining candidates is the winner). We first use plurality tie lines to identify regions in which each candidate receives the lowest share of firstpreference votes and is eliminated; these elimination regions are shown in Fig. 5a. Next, we superimpose the majority tie lines introduced above. In the region where a given candidate is eliminated, the majority tie line for the other two candidates determines which candidate wins; for example, in the region where Remain is eliminated, the DealNo Deal majority tie line (singled out in Fig. 3b above) determines which candidate wins. To reflect this, in Fig. 5b I draw each majority tie line with a solid stroke in the region where it determines the winner (and a dashed stroke elsewhere), and I label each portion of the resulting figure according to how the noneliminated candidates fare. The resulting firstpreference win regions are shown in Fig. 5c. The irregular shape of these win regions reflects the combination of positional and majority tie lines that determine a winner in IRV, and will play a role in later illustrations of joininconsistency and other voting system properties.
To develop intuition about the IRV diagram, consider Fig. 5d, which shows IRV firstpreference win regions under a possible shift in conditional second preferences. (We will shortly see that a similar shift actually happened.) Recall that the majority tie line for alternatives i and j reflects the secondpreference pattern of voters whose first preference is k. Suppose Deal voters become more favorable to Remain compared to No Deal (i.e. more likely to rank Remain second rather than No Deal); then we would see a clockwise tilt in the RemainNo Deal majority tie line, indicated by the rightwardpointing arrow at the boundary between the RemainNo Deal win regions in Fig. 5d. The other two arrows highlight a hypothetical shift (compared to Fig. 5c) of Remain voters toward Deal (indicated by the counterclockwise movement of the boundary between the Deal and No Deal win regions at the right of the figure) and of No Deal voters toward Deal (indicated by the clockwise movement of the boundary between the Deal and Remain win regions at the left of the figure).
Figure 5c indicates that, given November 2018 Brexit preferences, the IRV winner would be either Remain or Deal. Deal and No Deal are effectively tied for second in first preferences, such that the firstpreference result sits at the edge between the region where Deal is eliminated and the region where No Deal is eliminated. If Deal is eliminated, then Remain would defeat No Deal in the “runoff”: the firstpreference result is to the left of the RemainNo Deal majority tie line. If No Deal is eliminated, then Remain and Deal would effectively tie in a pairwise majority vote: the firstpreference result essentially lies on the RemainDeal majority tie line. Thus Remain could be helped by a hypothetical shift in firstpreference shares that strengthened No Deal, leading to Deal being eliminated and Remain winning. In fact, such a shift in preferences occurred, as we will shortly see.
3.4 Other voting rules
We can depict further ordinal voting systems by combining and/or extending elements already introduced. Although I do not depict these below for reasons of space, consider:^{Footnote 23}

In the Bucklin system, a candidate who wins a majority of top rankings is the winner; if there is no such candidate, the candidate who wins the largest share of first or second rankings is the winner. For the Bucklin diagram, begin by identifying regions where each candidate wins a majority of first preferences (each defined by a line connecting the midpoint of two edges) and fill in the remaining central area using antiplurality win regions.

The Coombs system is a variation of IRV in which elimination is based on the number of bottom rankings rather than top rankings. Specifically, a candidate who wins a majority of top rankings is the winner, but if there is no such candidate, the candidate who is ranked last on the most ballots is eliminated and the winner chosen based on rankings of the remaining two. To make the Coombs diagram, start with the regions where each candidate wins a majority of first preferences (as in Bucklin); to fill in the remaining central area, draw antiplurality tie lines (positional tie lines with \(s = 1\)) to identify elimination regions and use majority tie lines to identify the winner within each elimination region.

In the Nanson system the winner is determined by successive elimination of candidates who receive a belowaverage Borda score. For the Nanson diagram we must define a new tie line that identifies firstpreference shares where, given secondpreference shares, a candidate receives the average Borda score;^{Footnote 24} these tie lines partition the diagram into regions where either one or two candidates is eliminated. In regions where a single candidate k is eliminated, use the ijmajority tie line to determine which of the remaining candidates is the winner.
3.5 An update to the Brexit poll
A new Brexit poll was conducted in June, 2019, producing another set of estimated preference shares.^{Footnote 25} Table 2 reports the June, 2019, shares alongside the November, 2018, shares reported and illustrated above. Between November and June, firstpreference support dropped for Deal and firstpreference support for No Deal rose; also, preferences appear to have become more singlepeaked, with Deal becoming the second choice for a larger proportion of voters ranking Remain or No Deal first.
Figure 6 displays the ternary diagrams for plurality, Borda, antiplurality, Kemeny–Young, and IRV for both the November 2018 poll (left column) and the June 2019 update (right column). The plurality diagram shows Remain winning in both polls, with the black dot moving southeast between the two polls to reflect the shift in firstpreference support from Deal to No Deal. In the Borda and antiplurality diagram, the firstpreference win region for Deal expands considerably from November 2018 to June 2019 (reflecting the increase in secondpreference support for Deal as preferences became more singlepeaked), such that even as Deal’s firstpreference support drops it wins more comfortably in June 2019 under both voting rules. Whereas Deal and Remain were essentially tied in the November 2018 poll in the Kemeny–Young (Condorcet) system, Deal wins in June 2019 (despite securing less firstpreference support) because of the greater secondpreference support from No Deal. In IRV, by contrast, the change in preferences was favorable to Remain. Recall that in November 2018 Deal and No Deal were essentially tied for second in firstpreference shares; Remain would win if Deal were eliminated, but Remain and Deal would essentially tie if No Deal were eliminated. By June 2019, Deal finishes securely in last place in firstpreference shares, after which Remain defeats No Deal in the IRV system. Thus not only do the different systems produce different winners with a given preference profile, but the same change in preferences can be beneficial to a given alternative in one system and harmful in another.
In Fig. 7, we zoom in on the Kemeny–Young diagram for the Nov. 2018 Brexit poll from Fig. 6. Where the majority tie lines form the boundary between two win regions they are drawn with a solid stroke; I use a dashed stroke to show the continuation of these lines where they do not form win region boundaries. Within the triangle defined by these dashed lines, there is a majority cycle where Remain beats Deal, Deal beats No Deal, and No Deal beats Remain. The Kemeny–Young rule says that the winner is the candidate who is defeated by the smallest margin in pairwise comparisons. To partition the majority cycle region according to this rule, we draw a new set of tie lines based on the margin of candidates’ defeats. For example, the RemainDeal tie line (which bisects the uppermost vertex of the cyclic triangle) indicates firstpreference shares where the margin by which Remain is defeated by No Deal is the same as the margin by which Deal is defeated by Remain. Each such tie line bisects an angle of the cyclic triangle, and the three lines meet at a point where the three candidates have the same margin of defeat.
3.6 Handling more than three alternatives
So far we have considered cases with only three alternatives, as is common in previous geometrical approaches to voting (e.g. Saari 1994). The diagram can still be useful for many voting methods when there are more candidates. In particular, if there are three candidates a, b, c who would beat any other candidate in pairwise rankings, then any Condorcet method that resolves a cycle through an ordinal method applied to the Smith set can be diagrammed by considering only those three candidates, i.e. by eliminating candidates \(d, e, \ldots\) from all ballots and considering only orderings of a, b, and c. Similarly, if there are three candidates a, b, and c who would be the last candidates standing in IRV or a similar elimination procedure, then we can eliminate all other candidates from the ballots and use the diagram to represent the final rounds of the competition. (Unfortunately the same approach does not work for positional methods: crucial information is lost if we reduce e.g. nine ranks to three.)
3.6.1 Example: 2018 mayoral election in San Francisco
The June 5, 2018, special mayoral election in San Francisco used a version of IRV in which voters could rank up to three candidates. Table 3 reports the number of times each candidate was ranked first, second, and third,^{Footnote 26} showing that three candidates (London Breed, Mark Leno, and Jane Kim) received the vast majority of first and second preferences. Assuming these three candidates are the last to be eliminated, we can ignore the other candidates and use the diagram to depict the final stages of the counting procedure.
The joint distribution of preferences over the three frontrunners is shown in Table 4. Note that the table has the same format as Table 1 except that a column is added to indicate ballots that rank only one candidate, which arises because voters were not required (indeed, not permitted) to rank all candidates. In fact, around a quarter of all ballots ranked none of the frontrunners and are thus eliminated entirely; of those that ranked at least one frontrunner, around a quarter ranked all three frontrunners, around half ranked ranked exactly two, and around a quarter ranked exactly one.
Using the proportions in Table 4 we can make a diagram exactly as described above. As shown in Fig. 8, the results for Black’s method (Condorcet with Borda to break cycles) and IRV happen to be very similar to the Brexit case. Breed narrowly wins both under Black’s method and IRV.
3.6.2 Example: 2018 election in Maine’s 2nd congressional district
The 2018 congressional election in Maine was the first use of IRV in a U.S. federal election. In Maine’s 2nd district, two candidates (incumbent Bruce Poliquin and Jared Golden) won over 90% of firstpreference votes (with Poliquin winning slightly over 46% and Golden winning slightly under 46%). Table 5 shows the preferences over the top three candidates once the fourthplaced candidate had been eliminated. Notably, over half of all ballots ranked only one candidate, including almost a third of ballots ranking Bond first.
The corresponding diagrams for Black’s method and IRV appear in Fig. 9. In both systems the result was essentially decided by the Golden–Poliquin majority tie line, which depends on Bond’s secondpreference shares; given Poliquin’s narrow firstpreference advantage, Golden won because voters who ranked Bond first favored Golden as their second choice (by a twotoone margin).
4 Illustrating voting system properties
To this point we have used the ternary diagram to represent the result of an election under different voting rules given a set of preferences over three (or more in some cases) candidates. In this section we show how the same diagram can be used to understand properties of voting rules.
4.1 Condorcet cycles
In the classic illustration of a Condorcet cycle (e.g. Arrow 1951, p. 3), three voters have the sincere preference orderings abc, bca, and cab, such that a beats b in a majority vote, b beats c, and c beats a (all by a 21 margin). The left panel of Fig. 10 shows the Condorcet ternary diagram given the implied conditional secondpreference shares in this classic case (\(p_{ab} = 1, p_{ba} = 0, p_{ca} = 1\)).^{Footnote 27} With an equal number of voters supporting abc, bca, and cab (e.g. one each, as in the classic illustration), the firstpreference result lies in the center of the diagram, producing a Condorcet cycle. As the diagram shows, there is actually a Condorcet cycle for any firstpreference result given these conditional secondpreference shares (i.e. any number of abc, bca, and cab voters) as long as no preference ordering has a majority of support.^{Footnote 28}
Our diagram can be used to identify conditions for a Condorcet cycle given any vector of conditional secondpreference shares. For example, the right panel of Fig. 10 shows the Condorcet winner given the conditional secondpreference shares from the Nov. 2018 Brexit poll. The white triangle indicates firstpreference shares where a Condorcet cycle occurs, given these conditional secondpreference shares. Such a triangle exists unless the three majority tie lines happen to intersect at a single point which, given a large electorate and some uncertainty, is very unlikely to happen. The diagram shows that the size of the cyclic triangle (and, perhaps, the likelihood of a cyclic result) varies with the pattern of second preferences.
4.2 Joininconsistency, noshow paradox, and nonmonotonicity
A voting method is joinconsistent if, whenever an alternative i wins in both a subset of an electorate and the complement of that subset, i also wins in the entire electorate.^{Footnote 29} It follows that a voting method is joinconsistent if, whenever i wins at vector \({\mathbf {v}}\) and vector \({\mathbf {v}}'\), it also wins at \({\mathbf {v}}'' = \alpha {\mathbf {v}} + (1  \alpha ) {\mathbf {v}}''\) for all \({\mathbf {v}}\) and \({\mathbf {v}}'\) and all \(\alpha \in [0, 1]\). Now, suppose we plot the firstpreference win regions for a particular set of conditional secondpreference shares and a particular voting rule. It follows from the above that, if the voting rule is joinconsistent, the firstpreference win regions must be convex: any two points on the ternary diagram can be viewed as vectors \({\mathbf {v}}\) and \({\mathbf {v}}'\) (which happen to have the same conditional secondpreference shares), so if a firstpreference win region is not convex then there is a \({\mathbf {v}}\), \({\mathbf {v}}'\), and \(\alpha\) such that one candidate wins at both \({\mathbf {v}}\) and \({\mathbf {v}}'\) but not at \({\mathbf {v}}'' = \alpha {\mathbf {v}} + (1  \alpha ) {\mathbf {v}}''\).^{Footnote 30} Figure 11 highlights the nonconvexity of the firstpreference win regions in IRV and CondorcetIRV (i.e. the system where IRV is used in the event of a cycle) given the conditional secondpreference shares from the Brexit survey. The winner is Deal at both x and y in the IRV diagram, but for part of the line connecting those points No Deal is the winner. Similarly, in the CondorcetIRV case No Deal is the winner at points v (where there is a cycle) and w, but for part of the line connecting those points Deal is the winner. In both cases this shows joininconsistency: a candidate could win in two sets of voters (which have identical conditional secondpreference shares) but lose in the union of those sets.
It should be clear that while a single diagram can prove that a method is joininconsistent, a single diagram cannot prove that a method is joinconsistent (because it can only show one set of conditional second preferences), and it cannot show types of joininconsistency in which the firstpreference shares are the same in two profiles but the conditional secondpreference shares differ.
The noshow paradox [i.e. a violation of the “participation criterion” or “positive involvement” (Saari and Valognes 1999)] occurs when a voter can obtain a better (expected) result by not voting than by voting sincerely. Figure 12 illustrates the noshow paradox using the secondpreference shares from the November Brexit poll in IRV (left panel) and CondorcetIRV (right panel). In both cases the noshow paradox occurs because, when the firstpreference share is at point z, additional support for Remain moves the firstpreference result down and to the left, changing the winner from Deal to No Deal;^{Footnote 31} thus a voter whose first choice is Remain and last choice is No Deal would be better off not voting than voting sincerely.^{Footnote 32} In IRV, additional support for Remain leads to Deal (the original winner) being eliminated rather than Remain, after which No Deal defeats Deal. In CondorcetIRV, additional support for Remain leads to a cycle, which results in Deal being elected.
An ordinal voting system is nonmonotonic if a winning candidate can become a losing candidate when one or more voters moves that candidate up in their ballot ranking.^{Footnote 33} Figure 13 demonstrates the nonmonotonicity of IRV. Suppose No Deal wins initially, at point z, but then a group of voters who originally ranked Remain first switch to ranking No Deal first and Remain second. To represent this shift on the diagram, we move the firstpreference result rightward from point z.^{Footnote 34} But note that as we move rightward the winner shifts from No Deal to Deal, which shows that IRV is nonmonotonic. The reason in this case is that while Deal was eliminated at z (clearing the way for No Deal to win), the shift in support from Remain to No Deal causes Remain to be eliminated instead, with the result that Deal defeats No Deal.
4.3 Susceptibility to strategic voting
A sincere vote in an ordinal system is one that reflects the voter’s true preference ordering; an insincere vote deviates from that ordering. A voting system could be called susceptible to strategic voting to the extent that it rewards voters for submitting insincere votes, given some model of uncertainty. In terms of the ternary diagram, a single ballot can only make a difference when the election result is at or near the boundary between two firstpreference win regions. To gain insight into the susceptibility of different systems to strategic voting, we ask which boundaries on the ternary diagram reward voters for submitting insincere ballots.
First, observe that when the result falls on a ijpositional tie line (where an increase in i’s score or decrease in j score would elect i instead of j), there is always a type of voter who can elect their preferred candidate by switching to an insincere vote. For \(s \in [0,1)\), a voter whose sincere preference is \(k \succ i \succ j\) could elect i by moving i up and submitting an ikj ballot, for example; for \(s = 1\) (antiplurality), a voter whose sincere preference is \(i \succ j \succ k\) could elect i by moving j down and submitting an ikj ballot.
Next, observe that this is not true when the result falls on a ijmajority tie line (where an extra ballot ranking i above j would elect i instead of j). For a voter who prefers i over j, any ballot that ranks i over j has the same effect on the outcome (including a sincere ballot), so there is no incentive to submit an insincere ballot rather than a sincere one. If there is to be a strategic voting incentive at a majority tie line, it must be one where an ijmajority tie line separates win regions for alternatives other than i and j (e.g. due to a cycle).
Building on this insight, Fig. 14 highlights firstpreference win region boundaries (given the pattern of preferences from the November 2018 Brexit poll) where a voter could benefit from an insincere vote. All boundaries in the Borda count diagram are formed by positional tie lines (as they would be in plurality or antiplurality), so they are all highlighted. By contrast, in IRV only the boundaries formed by positional tie lines are highlighted.
The right panel of Fig. 14 shows the firstpreference win regions for CondorcetIRV. The only boundary where strategic voting may be rewarded lies along the upperright edge of the cyclic triangle, where the DealRemainmajority tie line separates the win regions for Deal and No Deal. Along that edge, additional ballots ranking Deal above Remain make Deal the (Condorcet) winner, but additional ballots ranking Remain above Deal make No Deal the winner (by inducing a cycle); thus a voter whose sincere preference is Remain \(\succ\) Deal \(\succ\) No Deal would be better off insincerely ranking Deal above Remain to secure a victory for Deal, her second choice.
The diagrams in Fig. 14 point to two conclusions (one inarguable and one more speculative) about the susceptibility of voting methods to insincere voting.^{Footnote 35} The inarguable conclusion is that the susceptibility of these methods to strategic voting depends on beliefs about likely outcomes: Fig. 14 shows that, conditional on a particular vector of conditional secondpreference shares, there are firstpreference results at which an insincere vote is rewarded in each method and neither of the others, which proves that one can specify beliefs about likely election outcomes such that each method is the most susceptible to insincere voting.^{Footnote 36}
The speculative conclusion from Fig. 14 is that, for empirically relevant assumptions about voter preferences and beliefs about likely outcomes, the incentive to vote insincerely is higher in Borda (and more broadly, in positional methods) than in IRV and higher in IRV than in Condorcet methods. What evidence do we have for this conjecture? In Fig. 14, the highlighted part of the ternary diagram (i.e. the measure of firstpreference shares at which an insincere vote is rewarded) is largest in Borda and smallest in Condorcet for one assumption about conditional secondpreference shares. More generally, as shown above, all firstpreference win region boundaries reward insincere votes in Borda but only some do in IRV and Condorcet; also, the highlighted regions of the Borda figure reward pushing one’s second choice down, while the highlighted regions of the IRV figure do not. Finally, we have seen that an insincere vote may be rewarded in Condorcet methods only around (and possibly in) the triangle where a cycle takes place. Together, these observations point to our speculative conclusion but (as shown in the previous paragraph) such a conclusion necessarily depends on beliefs about likely outcomes (both about firstpreference shares given conditional secondpreference shares and about conditional secondpreference shares). Testing this conjecture therefore requires specifying empirically relevant assumptions about voter preferences and beliefs and is the subject for another paper.
5 Conclusion
Because a diagram can sometimes make intuitive what otherwise is difficult to comprehend, the approach presented in this paper may help researchers and election analysts understand elections held under a variety of singlewinner voting systems. The diagrams may also be useful for communicating the results of elections and polls to the public. Given that the election systems studied in this paper depend on five or more preference frequencies, it should not be surprising that they are more difficult to explain and visualize than a plurality contest. This complexity may make it difficult for voters to understand and accept the results of unfamiliar systems, regardless of other advantages these systems may have.^{Footnote 37} It may also hamper voters’ efforts to predict likely outcomes from polls and respond appropriately. The diagrams in this paper provide a compact summary of an election or poll result in a way that, while perhaps not widely accessible in the details, communicates the big picture rather simply: candidates with more top rankings generally win, but the outcome also depends on lower rankings in a way that varies with the voting method. Perhaps these diagrams can help, then, not just in the analysis of voting systems but in their adoption and operation.
Notes
See https://yougov.co.uk/topics/politics/articlesreports/2018/12/06/maysbrexitdealleadsjusttwoconstituenciesit for the YouGov summary and a link to Ben Lauderdale’s report, which describes the survey and the MRP model used to analyze it.
See for example, Michael Savage, “Remainers gear up for second referendum, with new NHS pledge”, The Guardian, 8 Dec. 2018 (https://bit.ly/2CKZDUC).
For example, summing the rows indicates that Remain would win a plurality contest (with Deal in a distant second), while giving each candidate two points for each firstplace vote and one point for each secondplace vote indicates that Deal would win under Borda count (with Remain fairly close behind).
There are six numbers but they sum to one, so one can be omitted.
Incomplete rankings complicate any graphical approach where the simplex vertices are unique preference orderings, such as Saari and Valognes (1999).
The package (votevizr) is available at https://github.com/aeggers/votevizr. Readers may also produce some figures interactively at https://andyeggers.shinyapps.io/voting_viz/.
The same information can be plotted on standard coordinates (with the horizontal axis indicating e.g. No Deal’s vote share and the vertical axis Deal’s), but the symmetry of the problem would then be lost: the regions where No Deal and Deal win a plurality election would have a different shape than Remain’s win region. Katz and King (1999) and Grofman et al. (2004) provide excellent and more detailed explanations of the ternary diagram.
Duddy (2017) uses the ternary diagram to show firstround votes in a threecandidate runoff election, highlighting the possibility of nonmonotonicity and the noshow paradox as I do below.
Saari (1994, p. 118) uses a “fat triangle” to connect the pointshare triangle to a pairwise majority relation, showing how positional and pairwise procedures may disagree.
These come from summing the values in the three triangles on either side of the RemainDeal plurality tie line.
For a given vertex, the first number comes from summing the numbers in the two closest triangles to that vertex (where that alternative is ranked first) and the second comes from summing the two next closest triangles (where that alternative is ranked second).
For example, in an IRV election No Deal would finish last in firstpreference votes (based on the numbers at the vertices, taking \(s = 0\)), after which Remain would defeat Deal 50.1–49.9% (based on the numbers along the edge between the Remain and Deal vertices).
In its favor, Saari’s pointshare triangle can compare two or more positional methods on the same diagram, while in my approach such comparisons work best with separate diagrams. Saari’s pointshare triangle can also show the convex hull for approval voting, while my diagram is limited to ordinal methods.
Incomplete rankings are permitted in IRV elections in several Australian states (Farrell and McAllister 2006). IRV mayoral elections in London and San Francsico set an upper limit on the number of rankings.
For example, \(v_{ac} = v_a p_{ac}\) and \(v_{bx} = v_b (1  p_{ba}  p_{bc})\) and \(v_{cb} = (1  v_a  v_b) p_{cb}\).
Kemeny/Kemeny–Young is not generally equivalent to minimax/maximin, but they are equivalent for choosing a winner among three candidates. To see this, note that the decision rule for maximin at p. 212 in Tideman (2017) is the same as the decision rule using matrix of majorities for Kemeny–Young at g. 182, because in a threecandidate cycle each row of the matrix of majorities has only one negative entry.
Alternatively one could assign s points to i and 0 to j and k [as suggested for Borda count by (2008, p. 197, fn. 6) and discussed in Emerson (2013)]. Then the ijpositional tie line is where \(v_{ij} + v_{ik} + s(v_{ji} + v_{ki} + v_{ix}) = v_{ji} + v_{jk} + s(v_{ij} + v_{kj} + v_{jx})\), which can be plotted in the same manner.
In the first case we also assume that No Deal supporters all rank Deal second, while in the second we assume that all Deal supporters rank No Deal second.
The ij positional tie line intersects with the jk positional tie line where i, j, and k all have the same score, so the ik positional tie line must run through the same point.
The system we describe is also referred to as rankedchoice voting (RCV) in the US, the alternative vote system (AV) in the UK, preferential voting in Australia, singlewinner STV in Ireland, and occasionally the Hare system.
In each case I assume three candidates.
The line where i receives the average positional score is given by \(v_i + s(v_{ji} + v_{ki}) = \frac{1}{3}\left( v_i + s(v_{ji} + v_{ki}) + v_j + s(v_{ij} + v_{kj}) + v_k + s(v_{ik} + v_{jk}) \right)\).
Estimates provided in personal communication with Ben Lauderdale in September 2019. The client for whom he conducted the research approved the release of these aggregate estimates.
Analysis based on the final set of ballot images, which was made available June 28 2018 by the City of San Francisco Department of Elections website (link).
The diagram looks the same if the conditional secondpreference shares are \(p_{ab} = 0, p_{ba} = 1, p_{ca} = 0\), which produces the “reverse cycle”.
Saari (1994, Ch. 4) calls this criterion weak consistency.
Saari (1994, Proposition 4.1.1 on p. 230) states this connection between joinconsistency and convexity in profile space. He later proves the joininconsistency of runoff methods with a diagram (Figure 4.1.6) that looks similar to mine, but has a different meaning: it shows the nonconvexity of the region of pointshare space in which a given alternative does not receive the lowest point share but could be the Condorcet winner.
The figure exaggerates the effect of one vote to make the direction clear. The analysis also ignores the complication of tiebreaking, but only to simplify.
Adding an additional RemainDealNo Deal ballot also moves tie lines, but not the tie lines relevant to the no show paradox at point z.
A voting system is also nonmonotonic if a losing candidate can become a winner when one or more voters moves that candidate down.
Majority tie lines would also shift, but if z is close to the RemainDeal positional tie line these shifts will not affect the outcome.
The diagrams look very similar for the other profiles examined in this paper; in each case the length of manipulable boundaries is longest in Borda and shortest in CondorcetIRV.
For example, if one expects Remain and Deal to receive almost all firstpreference votes, then Borda rewards insincere voting from voters who rank No Deal second while IRV and CondorcetIRV reward no insincere voting; if one expects a near threeway tie in firstpreference shares then IRV induces insincere voting from voters who rank Remain first (especially those who rank No Deal last) while Borda and CondorcetIRV induce no insincere voting.
In a possible attempt to benefit from this confusion, the campaign spokesman for the loser of Maine’s first IRV election called it a “blackbox voting system” reliant on “artificial intelligence” as his candidate appealed the results and demanded a recount. Emily Kopp, “Defeated Rep. Bruce Poliquin Calls for Lengthy Ranked Choice Recount”, Roll Call, 27 Nov. 2018 (link accessed Jan. 3, 2019).
References
Arrow KJ (1951) Social choice and individual values. Yale University Press, Yale
Diss M, Tlidi A (2018) Another perspective on Borda’s paradox. Theor Decis 84(1):99–121
Duddy C (2017) Geometry of runoff elections. Public Choice 173(3–4):267–288
Dunleavy P, Diwakar R (2013) Analysing multiparty competition in plurality rule elections. Party Polit 19(6):855–886
Emerson P (2013) The original Borda count and partial voting. Soc Choice Welf 40(2):353–358
Farrell DM, McAllister I (2006) The Australian electoral system: origins, variations, and consequences. UNSW Press, Randwick
Grofman B, Chiaramonte A, D’Alimonte R, Feld SL (2004) Comparing and contrasting the uses of two graphical tools for displaying patterns of multiparty competition: Nagayama diagrams and simplex representations. Party Polit 10(3):273–299
Ibbetson D (1965) Comment on Berrington, ‘The general election of 1964’. J R Stat Soc Ser A (Gener) 128(1):54–55
Kastellec JP, Leoni EL (2007) Using graphs instead of tables in political science. Perspect Polit 5(4):755–771
Katz JN, King G (1999) A statistical model for multiparty electoral data. Am Polit Sci Rev 93(1):15–32
Nurmi H (1999) Voting paradoxes and how to deal with them. Springer, Berlin
Saari DG (1994) Geometry of voting. Springer, Berlin
Saari DG (2008) Disposing dictators, demystifying voting paradoxes. Cambridge University Press, Cambridge
Saari DG (2011) Geometry of voting. In: Arrow KJ, Sen A, Suzumura K (eds) Handbook of social choice and welfare, vol 2. Elsevier, New York, pp 897–945 chapter 27
Saari DG, Valognes F (1999) The geometry of Black’s single peakedness and related conditions. J Math Econ 32(4):429–456
Tideman N (2017) Collective decisions and voting: the potential for public choice. Routledge, Abingdon
Tufte E (2001) The visual display of quantitative information, 2nd edn. Graphics Press, USA
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Thanks to Tobias Nowacki, who has puzzled over the IRV ternary diagram with me as part of our joint work on strategic voting in that system, and to Bernie Grofman, Jack Santucci, and Alex Kuo for useful discussions; thanks also to Ben Lauderdale for helpful comments and especially for sharing the June 2019 Brexit poll analysis.
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Eggers, A.C. A diagram for analyzing ordinal voting systems. Soc Choice Welf 56, 143–171 (2021). https://doi.org/10.1007/s0035502001274y
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DOI: https://doi.org/10.1007/s0035502001274y