Arrow's impossibility theorem

Arrow's impossibility theorem is a key result in social choice theory, showing that no ranking-based decision rule can satisfy the requirements of rational choice theory.^[1] Most notably, Arrow showed that no such rule can satisfy all of a certain set of seemingly simple and reasonable conditions that include independence of irrelevant alternatives, the principle that a choice between two alternatives A and B should not depend on the quality of some third, unrelated option C.^[2][3][4]

The result is most often cited in discussions of voting rules.^[5] However, Arrow's theorem is substantially broader, and can be applied to methods of social decision-making other than voting. It therefore generalizes Condorcet's voting paradox, and shows similar problems exist for every collective decision-making procedure based on relative comparisons.^[1]

Plurality-rule methods like first-past-the-post and ranked-choice (instant-runoff) voting are highly sensitive to spoilers,^[6][7] particularly in situations where they are not forced.^[8][9] By contrast, majority-rule (Condorcet) methods of ranked voting uniquely minimize the number of spoiled elections^[9] by restricting them to rare^[10][11] situations called cyclic ties.^[8] Under some idealized models of voter behavior (e.g. Black's left-right spectrum), spoiler effects can disappear entirely for these methods.^[12][13]

Arrow's theorem does not cover rated voting rules, and thus cannot be used to inform their susceptibility to the spoiler effect. However, Gibbard's theorem shows these methods' susceptibility to strategic voting, and generalizations of Arrow's theorem describe cases where rated methods are susceptible to the spoiler effect.

Background

Main articles: Social welfare function, Voting systems, and Social choice theory

When Kenneth Arrow proved his theorem in 1950, it inaugurated the modern field of social choice theory, a branch of welfare economics studying mechanisms to aggregate preferences and beliefs across a society.^[14] Such a mechanism of study can be a market, voting system, constitution, or even a moral or ethical framework.^[1]

Axioms of voting systems

Preferences

Further information: Preference (economics)

In the context of Arrow's theorem, citizens are assumed to have ordinal preferences, i.e. orderings of candidates. If A and B are different candidates or alternatives, then ${\displaystyle A\succ B}$ means A is preferred to B. Individual preferences (or ballots) are required to satisfy intuitive properties of orderings, e.g. they must be transitive—if ${\displaystyle A\succeq B}$ and ${\displaystyle B\succeq C}$, then ${\displaystyle A\succeq C}$. The social choice function is then a mathematical function that maps the individual orderings to a new ordering that represents the preferences of all of society.

Basic assumptions

Arrow's theorem assumes as background that any non-degenerate social choice rule will satisfy:^[15]

• Unrestricted domain — the social choice function is a total function over the domain of all possible orderings of outcomes, not just a partial function.
  • In other words, the system must always make some choice, and cannot simply "give up" when the voters have unusual opinions.
  • Without this assumption, majority rule satisfies Arrow's axioms by "giving up" whenever there is a Condorcet cycle.^[9]
• Non-dictatorship — the system does not depend on only one voter's ballot.^[3]
  • This weakens anonymity (one vote, one value) to allow rules that treat voters unequally.
  • It essentially defines social choices as those depending on more than one person's input.^[3]
• Non-imposition — the system does not ignore the voters entirely when choosing between some pairs of candidates.^[4][16]
  • In other words, it is possible for any candidate to defeat any other candidate, given some combination of votes.^[4][16][17]
  • This is often replaced with the stronger Pareto efficiency axiom: if every voter prefers A over B, then A should defeat B. However, the weaker non-imposition condition is sufficient.^[4]

Arrow's original statement of the theorem included non-negative responsiveness as a condition, i.e., that increasing the rank of an outcome should not make them lose—in other words, that a voting rule shouldn't penalize a candidate for being more popular.^[2] However, this assumption is not needed or used in his proof (except to derive the weaker condition of Pareto efficiency), and Arrow later corrected his statement of the theorem to remove the inclusion of this condition.^[3][18]

Independence

A commonly-considered axiom of rational choice is independence of irrelevant alternatives (IIA), which says that when deciding between A and B, one's opinion about a third option C should not affect their decision.^[2]

• Independence of irrelevant alternatives (IIA) — the social preference between candidate A and candidate B should only depend on the individual preferences between A and B.
  • In other words, the social preference should not change from ${\displaystyle A\succ B}$ to ${\displaystyle B\succ A}$ if voters change their preference about whether ${\displaystyle A\succ C}$.^[3]
  • This is equivalent to the claim about independence of spoiler candidates when using the standard construction of a placement function.^[17]

IIA is sometimes illustrated with a short joke by philosopher Sidney Morgenbesser:^[19]

Morgenbesser, ordering dessert, is told by a waitress that he can choose between blueberry or apple pie. He orders apple. Soon the waitress comes back and explains cherry pie is also an option. Morgenbesser replies "In that case, I'll have blueberry."

Arrow's theorem shows that if a society wishes to make decisions while always avoiding such self-contradictions, it cannot use ranked information alone.^[19]

Theorem

Intuitive argument

Condorcet's example is already enough to see the impossibility of a fair ranked voting system, given stronger conditions for fairness than Arrow's theorem assumes.^[20] Suppose we have three candidates (${\displaystyle A}$, ${\displaystyle B}$, and ${\displaystyle C}$) and three voters whose preferences are as follows:

Voter	First preference	Second preference	Third preference
Voter 1	A	B	C
Voter 2	B	C	A
Voter 3	C	A	B

If ${\displaystyle C}$ is chosen as the winner, it can be argued any fair voting system would say ${\displaystyle B}$ should win instead, since two voters (1 and 2) prefer ${\displaystyle B}$ to ${\displaystyle C}$ and only one voter (3) prefers ${\displaystyle C}$ to ${\displaystyle B}$. However, by the same argument ${\displaystyle A}$ is preferred to ${\displaystyle B}$, and ${\displaystyle C}$ is preferred to ${\displaystyle A}$, by a margin of two to one on each occasion. Thus, even though each individual voter has consistent preferences, the preferences of society are contradictory: ${\displaystyle A}$ is preferred over ${\displaystyle B}$ which is preferred over ${\displaystyle C}$ which is preferred over ${\displaystyle A}$.

Because of this example, some authors credit Condorcet with having given an intuitive argument that presents the core of Arrow's theorem.^[20] However, Arrow's theorem is substantially more general; it applies to methods of making decisions other than one-man-one-vote elections, such as markets or weighted voting, based on ranked ballots.

Formal statement

Let ${\displaystyle A}$ be a set of alternatives. A voter's preferences over ${\displaystyle A}$ are a complete and transitive binary relation on ${\displaystyle A}$ (sometimes called a total preorder), that is, a subset ${\displaystyle R}$ of ${\displaystyle A\times A}$ satisfying:

1. (Transitivity) If ${\displaystyle (\mathbf {a} ,\mathbf {b} )}$ is in ${\displaystyle R}$ and ${\displaystyle (\mathbf {b} ,\mathbf {c} )}$ is in ${\displaystyle R}$, then ${\displaystyle (\mathbf {a} ,\mathbf {c} )}$ is in ${\displaystyle R}$,
2. (Completeness) At least one of ${\displaystyle (\mathbf {a} ,\mathbf {b} )}$ or ${\displaystyle (\mathbf {b} ,\mathbf {a} )}$ must be in ${\displaystyle R}$.

The element ${\displaystyle (\mathbf {a} ,\mathbf {b} )}$ being in ${\displaystyle R}$ is interpreted to mean that alternative ${\displaystyle \mathbf {a} }$ is preferred to alternative ${\displaystyle \mathbf {b} }$. This situation is often denoted ${\displaystyle \mathbf {a} \succ \mathbf {b} }$ or ${\displaystyle \mathbf {a} R\mathbf {b} }$. Denote the set of all preferences on ${\displaystyle A}$ by ${\displaystyle \Pi (A)}$. Let ${\displaystyle N}$ be a positive integer. An ordinal (ranked) social welfare function is a function^[2]

${\displaystyle \mathrm {F}$ :\Pi (A)^{N}\to \Pi (A)}

which aggregates voters' preferences into a single preference on ${\displaystyle A}$. An ${\displaystyle N}$-tuple ${\displaystyle (R_{1},\ldots ,R_{N})\in \Pi (A)^{N}}$ of voters' preferences is called a preference profile.

Arrow's impossibility theorem: If there are at least three alternatives, then there is no social welfare function satisfying all three of the conditions listed below:^[21]

Pareto efficiency

If alternative ${\displaystyle \mathbf {a} }$ is preferred to ${\displaystyle \mathbf {b} }$ for all orderings ${\displaystyle R_{1},\ldots ,R_{N}}$, then ${\displaystyle \mathbf {a} }$ is preferred to ${\displaystyle \mathbf {b} }$ by ${\displaystyle F(R_{1},R_{2},\ldots ,R_{N})}$.^[2]

Non-dictatorship

There is no individual ${\displaystyle i}$ whose preferences always prevail. That is, there is no ${\displaystyle i\in \{1,\ldots ,N\}}$ such that for all ${\displaystyle (R_{1},\ldots ,R_{N})\in \Pi (A)^{N}}$ and all ${\displaystyle \mathbf {a} }$ and ${\displaystyle \mathbf {b} }$, when ${\displaystyle \mathbf {a} }$ is preferred to ${\displaystyle \mathbf {b} }$ by ${\displaystyle R_{i}}$ then ${\displaystyle \mathbf {a} }$ is preferred to ${\displaystyle \mathbf {b} }$ by ${\displaystyle F(R_{1},R_{2},\ldots ,R_{N})}$.^[2]

Independence of irrelevant alternatives

For two preference profiles ${\displaystyle (R_{1},\ldots ,R_{N})}$ and ${\displaystyle (S_{1},\ldots ,S_{N})}$ such that for all individuals ${\displaystyle i}$, alternatives ${\displaystyle \mathbf {a} }$ and ${\displaystyle \mathbf {b} }$ have the same order in ${\displaystyle R_{i}}$ as in ${\displaystyle S_{i}}$, alternatives ${\displaystyle \mathbf {a} }$ and ${\displaystyle \mathbf {b} }$ have the same order in ${\displaystyle F(R_{1},\ldots ,R_{N})}$ as in ${\displaystyle F(S_{1},\ldots ,S_{N})}$.^[2]

Formal proof

Proof by decisive coalition

Arrow's proof used the concept of decisive coalitions.[3] Definition: A subset of voters is a coalition. A coalition is decisive over an ordered pair ${\displaystyle (x,y)}$ if, when everyone in the coalition ranks ${\displaystyle x\succ _{i}y}$, society overall will always rank ${\displaystyle x\succ y}$. A coalition is decisive if and only if it is decisive over all ordered pairs. Our goal is to prove that the decisive coalition contains only one voter, who controls the outcome—in other words, a dictator. The following proof is a simplification taken from Amartya Sen[22] and Ariel Rubinstein.[23] The simplified proof uses an additional concept: A coalition is weakly decisive over ${\displaystyle (x,y)}$ if and only if when every voter ${\displaystyle i}$ in the coalition ranks ${\displaystyle x\succ _{i}y}$, and every voter ${\displaystyle j}$ outside the coalition ranks ${\displaystyle y\succ _{j}x}$, then ${\displaystyle x\succ y}$. Thenceforth assume that the social choice system satisfies unrestricted domain, Pareto efficiency, and IIA. Also assume that there are at least 3 distinct outcomes. Field expansion lemma — if a coalition ${\displaystyle G}$ is weakly decisive over ${\displaystyle (x,y)}$ for some ${\displaystyle x\neq y}$, then it is decisive. Proof Let ${\displaystyle z}$ be an outcome distinct from ${\displaystyle x,y}$. Claim: ${\displaystyle G}$ is decisive over ${\displaystyle (x,z)}$. Let everyone in ${\displaystyle G}$ vote ${\displaystyle x}$ over ${\displaystyle z}$. By IIA, changing the votes on ${\displaystyle y}$ does not matter for ${\displaystyle x,z}$. So change the votes such that ${\displaystyle x\succ _{i}y\succ _{i}z}$ in ${\displaystyle G}$ and ${\displaystyle y\succ _{i}x}$ and ${\displaystyle z}$ outside of ${\displaystyle G}$. By Pareto, ${\displaystyle y\succ z}$. By coalition weak-decisiveness over ${\displaystyle (x,y)}$, ${\displaystyle x\succ y}$. Thus ${\displaystyle x\succ z}$. ${\displaystyle \square }$ Similarly, ${\displaystyle G}$ is decisive over ${\displaystyle (z,y)}$. By iterating the above two claims (note that decisiveness implies weak-decisiveness), we find that ${\displaystyle G}$ is decisive over all ordered pairs in ${\displaystyle \{x,y,z\}}$. Then iterating that, we find that ${\displaystyle G}$ is decisive over all ordered pairs in ${\displaystyle X}$. Group contraction lemma — If a coalition is decisive, and has size ${\displaystyle \geq 2}$, then it has a proper subset that is also decisive. Proof Let ${\displaystyle G}$ be a coalition with size ${\displaystyle \geq 2}$. Partition the coalition into nonempty subsets ${\displaystyle G_{1},G_{2}}$. Fix distinct ${\displaystyle x,y,z}$. Design the following voting pattern (notice that it is the cyclic voting pattern which causes the Condorcet paradox): ${\displaystyle {\begin{aligned}{\text{voters in }}G_{1}&:x\succ _{i}y\succ _{i}z\\{\text{voters in }}G_{2}&:z\succ _{i}x\succ _{i}y\\{\text{voters outside }}G&:y\succ _{i}z\succ _{i}x\end{aligned}}}$ (Items other than ${\displaystyle x,y,z}$ are not relevant.) Since ${\displaystyle G}$ is decisive, we have ${\displaystyle x\succ y}$. So at least one is true: ${\displaystyle x\succ z}$ or ${\displaystyle z\succ y}$. If ${\displaystyle x\succ z}$, then ${\displaystyle G_{1}}$ is weakly decisive over ${\displaystyle (x,z)}$. If ${\displaystyle z\succ y}$, then ${\displaystyle G_{2}}$ is weakly decisive over ${\displaystyle (z,y)}$. Now apply the field expansion lemma. By Pareto, the entire set of voters is decisive. Thus by the group contraction lemma, there is a size-one decisive coalition—a dictator.

Proof by showing there is only one pivotal voter

Proofs using the concept of the pivotal voter originated from Salvador Barberá in 1980.[24] The proof given here is a simplified version based on two proofs published in Economic Theory.[21][25] Setup Assume there are n voters. We assign all of these voters an arbitrary ID number, ranging from 1 through n, which we can use to keep track of each voter's identity as we consider what happens when they change their votes. Without loss of generality, we can say there are three candidates who we call A, B, and C. (Because of IIA, including more than 3 candidates does not affect the proof.) We will prove that any social choice rule respecting unanimity and independence of irrelevant alternatives (IIA) is a dictatorship. The proof is in three parts: We identify a pivotal voter for each individual contest (A vs. B, B vs. C, and A vs. C). Their ballot swings the societal outcome. We prove this voter is a partial dictator. In other words, they get to decide whether A or B is ranked higher in the outcome. We prove this voter is the same person, hence this voter is a dictator. Part one: There is a pivotal voter for A vs. B Part one: Successively move B from the bottom to the top of voters' ballots. The voter whose change results in B being ranked over A is the pivotal voter for B over A. Consider the situation where everyone prefers A to B, and everyone also prefers C to B. By unanimity, society must also prefer both A and C to B. Call this situation profile[0, x]. On the other hand, if everyone preferred B to everything else, then society would have to prefer B to everything else by unanimity. Now arrange all the voters in some arbitrary but fixed order, and for each i let profile i be the same as profile 0, but move B to the top of the ballots for voters 1 through i. So profile 1 has B at the top of the ballot for voter 1, but not for any of the others. Profile 2 has B at the top for voters 1 and 2, but no others, and so on. Since B eventually moves to the top of the societal preference as the profile number increases, there must be some profile, number k, for which B first moves above A in the societal rank. We call the voter k whose ballot change causes this to happen the pivotal voter for B over A. Note that the pivotal voter for B over A is not, a priori, the same as the pivotal voter for A over B. In part three of the proof we will show that these do turn out to be the same. Also note that by IIA the same argument applies if profile 0 is any profile in which A is ranked above B by every voter, and the pivotal voter for B over A will still be voter k. We will use this observation below. Part two: The pivotal voter for B over A is a dictator for B over C In this part of the argument we refer to voter k, the pivotal voter for B over A, as the pivotal voter for simplicity. We will show that the pivotal voter dictates society's decision for B over C. That is, we show that no matter how the rest of society votes, if pivotal voter ranks B over C, then that is the societal outcome. Note again that the dictator for B over C is not a priori the same as that for C over B. In part three of the proof we will see that these turn out to be the same too. Part two: Switching A and B on the ballot of voter k causes the same switch to the societal outcome, by part one of the argument. Making any or all of the indicated switches to the other ballots has no effect on the outcome. In the following, we call voters 1 through k − 1, segment one, and voters k + 1 through N, segment two. To begin, suppose that the ballots are as follows: Every voter in segment one ranks B above C and C above A. Pivotal voter ranks A above B and B above C. Every voter in segment two ranks A above B and B above C. Then by the argument in part one (and the last observation in that part), the societal outcome must rank A above B. This is because, except for a repositioning of C, this profile is the same as profile k − 1 from part one. Furthermore, by unanimity the societal outcome must rank B above C. Therefore, we know the outcome in this case completely. Now suppose that pivotal voter moves B above A, but keeps C in the same position and imagine that any number (even all!) of the other voters change their ballots to move B below C, without changing the position of A. Then aside from a repositioning of C this is the same as profile k from part one and hence the societal outcome ranks B above A. Furthermore, by IIA the societal outcome must rank A above C, as in the previous case. In particular, the societal outcome ranks B above C, even though Pivotal Voter may have been the only voter to rank B above C. By IIA, this conclusion holds independently of how A is positioned on the ballots, so pivotal voter is a dictator for B over C. Part three: There exists a dictator Part three: Since voter k is the dictator for B over C, the pivotal voter for B over C must appear among the first k voters. That is, outside of segment two. Likewise, the pivotal voter for C over B must appear among voters k through N. That is, outside of Segment One. In this part of the argument we refer back to the original ordering of voters, and compare the positions of the different pivotal voters (identified by applying parts one and two to the other pairs of candidates). First, the pivotal voter for B over C must appear earlier (or at the same position) in the line than the dictator for B over C: As we consider the argument of part one applied to B and C, successively moving B to the top of voters' ballots, the pivot point where society ranks B above C must come at or before we reach the dictator for B over C. Likewise, reversing the roles of B and C, the pivotal voter for C over B must be at or later in line than the dictator for B over C. In short, if kX/Y denotes the position of the pivotal voter for X over Y (for any two candidates X and Y), then we have shown kB/C ≤ kB/A ≤ kC/B. Now repeating the entire argument above with B and C switched, we also have kC/B ≤ kB/C. Therefore, we have kB/C = kB/A = kC/B and the same argument for other pairs shows that all the pivotal voters (and hence all the dictators) occur at the same position in the list of voters. This voter is the dictator for the whole election.

Stronger versions

Arrow's impossibility theorem still holds if Pareto efficiency is weakened to the following condition:^[4]

Non-imposition

For any two alternatives a and b, there exists some preference profile R₁ , …, R_N such that a is preferred to b by F(R₁, R₂, …, R_N).

Interpretation and practical solutions

Arrow's theorem establishes that no ranked voting rule can always satisfy independence of irrelevant alternatives, but it says nothing about the frequency of spoilers. This led Arrow to remark that "Most systems are not going to work badly all of the time. All I proved is that all can work badly at times."^[26][27]

Attempts at dealing with the effects of Arrow's theorem take one of two approaches: either accepting his rule and searching for the least spoiler-prone methods, or dropping one or more of his assumptions, such as by focusing on rated voting rules.^[19]

Minimizing IIA failures: Majority-rule methods

Main article: Condorcet cycle

An example of a Condorcet cycle, where some candidate must cause a spoiler effect

The first set of methods studied by economists are the majority-rule, or Condorcet, methods. These rules limit spoilers to situations where majority rule is self-contradictory, called Condorcet cycles, and as a result uniquely minimize the possibility of a spoiler effect among ranked rules. (Indeed, many different social welfare functions can meet Arrow's conditions under such restrictions of the domain. It has been proven, however, that under any such restriction, if there exists any social welfare function that adheres to Arrow's criteria, then Condorcet method will adhere to Arrow's criteria.^[9]) Condorcet believed voting rules should satisfy both independence of irrelevant alternatives and the majority rule principle, i.e. if most voters rank Alice ahead of Bob, Alice should defeat Bob in the election.^[20]

Unfortunately, as Condorcet proved, this rule can be intransitive on some preference profiles.^[28] Thus, Condorcet proved a weaker form of Arrow's impossibility theorem long before Arrow, under the stronger assumption that a voting system in the two-candidate case will agree with a simple majority vote.^[20]

Unlike pluralitarian rules such as ranked-choice runoff (RCV) or first-preference plurality,^[6] Condorcet methods avoid the spoiler effect in non-cyclic elections, where candidates can be chosen by majority rule. Political scientists have found such cycles to be fairly rare, suggesting they may be of limited practical concern.^[11] Spatial voting models also suggest such paradoxes are likely to be infrequent^[29][10] or even non-existent.^[12]

Left-right spectrum

Main article: Median voter theorem

Soon after Arrow published his theorem, Duncan Black showed his own remarkable result, the median voter theorem. The theorem proves that if voters and candidates are arranged on a left-right spectrum, Arrow's conditions are all fully compatible, and all will be met by any rule satisfying Condorcet's majority-rule principle.^[12][13]

More formally, Black's theorem assumes preferences are single-peaked: a voter's happiness with a candidate goes up and then down as the candidate moves along some spectrum. For example, in a group of friends choosing a volume setting for music, each friend would likely have their own ideal volume; as the volume gets progressively too loud or too quiet, they would be increasingly dissatisfied. If the domain is restricted to profiles where every individual has a single-peaked preference with respect to the linear ordering, then social preferences are acyclic. In this situation, Condorcet methods satisfy a wide variety of highly-desirable properties, including being fully spoilerproof.^[12][13][9]

The rule does not fully generalize from the political spectrum to the political compass, a result related to the McKelvey-Schofield chaos theorem.^[12][30] However, a well-defined Condorcet winner does exist if the distribution of voters is rotationally symmetric or otherwise has a uniquely-defined median.^[31][32] In most realistic situations, where voters' opinions follow a roughly-normal distribution or can be accurately summarized by one or two dimensions, Condorcet cycles are rare (though not unheard of).^[29][8]

Generalized stability theorems

The Campbell-Kelly theorem shows that Condorcet methods are the most spoiler-resistant class of ranked voting systems: whenever it is possible for some ranked voting system to avoid a spoiler effect, a Condorcet method will do so.^[9] In other words, replacing a ranked method with its Condorcet variant (i.e. elect a Condorcet winner if they exist, and otherwise run the method) will sometimes prevent a spoiler effect, but can never create a new one.^[9]

In 1977, Ehud Kalai and Eitan Muller gave a full characterization of domain restrictions admitting a nondictatorial and strategyproof social welfare function. These correspond to preferences for which there is a Condorcet winner.^[33]

Holliday and Pacuit devised a voting system that provably minimizes the number of candidates who are capable of spoiling an election, albeit at the cost of occasionally failing vote positivity (though at a much lower rate than seen in instant-runoff voting).^{[8][clarification needed]}

Going beyond Arrow's theorem: Rated voting

Main article: Spoiler effect

As shown above, the proof of Arrow's theorem relies crucially on the assumption of ranked voting, and is not applicable to rated voting systems. This opens up the possibility of passing all of the criteria given by Arrow. These systems ask voters to rate candidates on a numerical scale (e.g. from 0–10), and then elect the candidate with the highest average (for score voting) or median (graduated majority judgment).^{[34]: 4–5}

Because Arrow's theorem no longer applies, other results are required to determine whether rated methods are immune to the spoiler effect, and under what circumstances. Intuitively, cardinal information can only lead to such immunity if it's meaningful; simply providing cardinal data is not enough.^[35]

Some rated systems, such as range voting and majority judgment, pass independence of irrelevant alternatives when the voters rate the candidates on an absolute scale. However, when they use relative scales, more general impossibility theorems show that the methods (within that context) still fail IIA.^[36] As Arrow later suggested, relative ratings may provide more information than pure rankings,^{[37][38][39][40][41]} but this information does not suffice to render the methods immune to spoilers.

While Arrow's theorem does not apply to graded systems, Gibbard's theorem still does: no voting game can be straightforward (i.e. have a single, clear, always-best strategy).^[42]

Meaningfulness of cardinal information

Main article: Cardinal utility

Arrow's framework assumed individual and social preferences are orderings or rankings, i.e. statements about which outcomes are better or worse than others.^[43] Taking inspiration from the strict behaviorism popular in psychology, some philosophers and economists rejected the idea of comparing internal human experiences of well-being.^[44][19] Such philosophers claimed it was impossible to compare the strength of preferences across people who disagreed; Sen gives as an example that it would be impossible to know whether the Great Fire of Rome was good or bad, because despite killing thousands of Romans, it had the positive effect of letting Nero expand his palace.^[39]

Arrow originally agreed with these positions and rejected cardinal utility, leading him to focus his theorem on preference rankings.^[44][45] However, he later stated that cardinal methods can provide additional useful information, and that his theorem is not applicable to them.

John Harsanyi noted Arrow's theorem could be considered a weaker version of his own theorem^{[46][failed verification]} and other utility representation theorems like the VNM theorem, which generally show that rational behavior requires consistent cardinal utilities.^[47]

Nonstandard spoilers

Behavioral economists have shown individual irrationality involves violations of IIA (e.g. with decoy effects),^[48] suggesting human behavior can cause IIA failures even if the voting method itself does not.^[49] However, past research has typically found such effects to be fairly small,^[50] and such psychological spoilers can appear regardless of electoral system. Balinski and Laraki discuss techniques of ballot design derived from psychometrics that minimize these psychological effects, such as asking voters to give each candidate a verbal grade (e.g. "bad", "neutral", "good", "excellent") and issuing instructions to voters that refer to their ballots as judgments of individual candidates.^{[34][page needed]} Similar techniques are often discussed in the context of contingent valuation.^[41]

Esoteric solutions

In addition to the above practical resolutions, there exist unusual (less-than-practical) situations where Arrow's requirement of IIA can be satisfied.

Supermajority rules

Supermajority rules can avoid Arrow's theorem at the cost of being poorly-decisive (i.e. frequently failing to return a result). In this case, a threshold that requires a ${\displaystyle 2/3}$ majority for ordering 3 outcomes, ${\displaystyle 3/4}$ for 4, etc. does not produce voting paradoxes.^[51]

In spatial (n-dimensional ideology) models of voting, this can be relaxed to require only ${\displaystyle 1-e^{-1}}$ (roughly 64%) of the vote to prevent cycles, so long as the distribution of voters is well-behaved (quasiconcave).^[52] These results provide some justification for the common requirement of a two-thirds majority for constitutional amendments, which is sufficient to prevent cyclic preferences in most situations.^[52]

Infinite populations

Fishburn shows all of Arrow's conditions can be satisfied for uncountably infinite sets of voters given the axiom of choice;^[53] however, Kirman and Sondermann demonstrated this requires disenfranchising almost all members of a society (eligible voters form a set of measure 0), leading them to refer to such societies as "invisible dictatorships".^[54]

Common misconceptions

Arrow's theorem is not related to strategic voting, which does not appear in his framework,^[3][1] though the theorem does have important implications for strategic voting (being used as a lemma to prove Gibbard's theorem^[15]). The Arrovian framework of social welfare assumes all voter preferences are known and the only issue is in aggregating them.^[1]

Monotonicity (called positive association by Arrow) is not a condition of Arrow's theorem.^[3] This misconception is caused by a mistake by Arrow himself, who included the axiom in his original statement of the theorem but did not use it.^[2] Dropping the assumption does not allow for constructing a social welfare function that meets his other conditions.^[3]

Contrary to a common misconception, Arrow's theorem deals with the limited class of ranked-choice voting systems, rather than voting systems as a whole.^[1][55]

See also

• Economics portal

• Comparison of electoral systems
• Condorcet paradox
• Doctrinal paradox
• Gibbard–Satterthwaite theorem
• Gibbard's theorem
• Holmström's theorem
• May's theorem
• Market failure

References

1. Morreau, Michael (2014-10-13). "Arrow's Theorem". The Stanford Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University.
2. Arrow, Kenneth J. (1950). "A Difficulty in the Concept of Social Welfare" (PDF). Journal of Political Economy. 58 (4): 328–346. doi:10.1086/256963. JSTOR 1828886. S2CID 13923619. Archived from the original (PDF) on 2011-07-20.
3. Arrow, Kenneth Joseph (1963). Social Choice and Individual Values (PDF). Yale University Press. ISBN 978-0300013641. Archived (PDF) from the original on 2022-10-09.
4. Wilson, Robert (December 1972). "Social choice theory without the Pareto Principle". Journal of Economic Theory. 5 (3): 478–486. doi:10.1016/0022-0531(72)90051-8. ISSN 0022-0531.
5. Borgers, Christoph (2010-01-01). Mathematics of Social Choice: Voting, Compensation, and Division. SIAM. ISBN 9780898716955. Candidates C and D spoiled the election for B ... With them in the running, A won, whereas without them in the running, B would have won. ... Instant runoff voting ... does not do away with the spoiler problem entirely
6. McGann, Anthony J.; Koetzle, William; Grofman, Bernard (2002). "How an Ideologically Concentrated Minority Can Trump a Dispersed Majority: Nonmedian Voter Results for Plurality, Run-off, and Sequential Elimination Elections". American Journal of Political Science. 46 (1): 134–147. doi:10.2307/3088418. ISSN 0092-5853. JSTOR 3088418. As with simple plurality elections, it is apparent the outcome will be highly sensitive to the distribution of candidates.
7. Borgers, Christoph (2010-01-01). Mathematics of Social Choice: Voting, Compensation, and Division. SIAM. ISBN 9780898716955. Candidates C and D spoiled the election for B ... With them in the running, A won, whereas without them in the running, B would have won. ... Instant runoff voting ... does not do away with the spoiler problem entirely, although it unquestionably makes it less likely to occur in practice.
8. Holliday, Wesley H.; Pacuit, Eric (2023-03-14). "Stable Voting". Constitutional Political Economy. 34 (3): 421–433. arXiv:2108.00542. doi:10.1007/s10602-022-09383-9. ISSN 1572-9966. This is a kind of stability property of Condorcet winners: you cannot dislodge a Condorcet winner A by adding a new candidate B to the election if A beats B in a head-to-head majority vote. For example, although the 2000 U.S. Presidential Election in Florida did not use ranked ballots, it is plausible (see Magee 2003) that Al Gore (A) would have won without Ralph Nader (B) in the election, and Gore would have beaten Nader head-to-head. Thus, Gore should still have won with Nader included in the election.
9. Campbell, D. E.; Kelly, J. S. (2000). "A simple characterization of majority rule". Economic Theory. 15 (3): 689–700. doi:10.1007/s001990050318. JSTOR 25055296. S2CID 122290254.
10. Gehrlein, William V. (2002-03-01). "Condorcet's paradox and the likelihood of its occurrence: different perspectives on balanced preferences*". Theory and Decision. 52 (2): 171–199. doi:10.1023/A:1015551010381. ISSN 1573-7187.
11. Van Deemen, Adrian (2014-03-01). "On the empirical relevance of Condorcet's paradox". Public Choice. 158 (3): 311–330. doi:10.1007/s11127-013-0133-3. ISSN 1573-7101.
12. Black, Duncan (1948). "On the Rationale of Group Decision-making". Journal of Political Economy. 56 (1): 23–34. doi:10.1086/256633. ISSN 0022-3808. JSTOR 1825026.
13. Black, Duncan (1968). The theory of committees and elections. Cambridge, Eng.: University Press. ISBN 978-0-89838-189-4.
14. Harsanyi, John C. (1979-09-01). "Bayesian decision theory, rule utilitarianism, and Arrow's impossibility theorem". Theory and Decision. 11 (3): 289–317. doi:10.1007/BF00126382. ISSN 1573-7187. Retrieved 2020-03-20. It is shown that the utilitarian welfare function satisfies all of Arrow's social choice postulates — avoiding the celebrated impossibility theorem by making use of information which is unavailable in Arrow's original framework.
15. Gibbard, Allan (1973). "Manipulation of Voting Schemes: A General Result". Econometrica. 41 (4): 587–601. doi:10.2307/1914083. ISSN 0012-9682. JSTOR 1914083.
16. Lagerspetz, Eerik (2016), "Arrow's Theorem", Social Choice and Democratic Values, Studies in Choice and Welfare, Cham: Springer International Publishing, pp. 171–245, doi:10.1007/978-3-319-23261-4_4, ISBN 978-3-319-23261-4, retrieved 2024-07-20
17. Quesada, Antonio (2002). "From social choice functions to dictatorial social welfare functions". Economics Bulletin. 4 (16): 1–7.
18. Doron, Gideon; Kronick, Richard (1977). "Single Transferrable Vote: An Example of a Perverse Social Choice Function". American Journal of Political Science. 21 (2): 303–311. doi:10.2307/2110496. ISSN 0092-5853. JSTOR 2110496.
19. Pearce, David. "Individual and social welfare: a Bayesian perspective" (PDF). Frisch Lecture Delivered to the World Congress of the Econometric Society.
20. McLean, Iain (1995-10-01). "Independence of irrelevant alternatives before Arrow". Mathematical Social Sciences. 30 (2): 107–126. doi:10.1016/0165-4896(95)00784-J. ISSN 0165-4896.
21. Geanakoplos, John (2005). "Three Brief Proofs of Arrow's Impossibility Theorem" (PDF). Economic Theory. 26 (1): 211–215. CiteSeerX 10.1.1.193.6817. doi:10.1007/s00199-004-0556-7. JSTOR 25055941. S2CID 17101545. Archived (PDF) from the original on 2022-10-09.
22. Sen, Amartya (2014-07-22). "Arrow and the Impossibility Theorem". The Arrow Impossibility Theorem. Columbia University Press. pp. 29–42. doi:10.7312/mask15328-003. ISBN 978-0-231-52686-9.
23. Rubinstein, Ariel (2012). Lecture Notes in Microeconomic Theory: The Economic Agent (2nd ed.). Princeton University Press. Problem 9.5. ISBN 978-1-4008-4246-9. OL 29649010M.
24. Barberá, Salvador (January 1980). "Pivotal voters: A new proof of arrow's theorem". Economics Letters. 6 (1): 13–16. doi:10.1016/0165-1765(80)90050-6. ISSN 0165-1765.
25. Yu, Ning Neil (2012). "A one-shot proof of Arrow's theorem". Economic Theory. 50 (2): 523–525. doi:10.1007/s00199-012-0693-3. JSTOR 41486021. S2CID 121998270.
26. Hamlin, Aaron (25 May 2015). "CES Podcast with Dr Arrow". Center for Election Science. CES. Archived from the original on 27 October 2018. Retrieved 9 March 2023.
27. McKenna, Phil (12 April 2008). "Vote of no confidence". New Scientist. 198 (2651): 30–33. doi:10.1016/S0262-4079(08)60914-8.
28. Gehrlein, William V. (1983-06-01). "Condorcet's paradox". Theory and Decision. 15 (2): 161–197. doi:10.1007/BF00143070. ISSN 1573-7187.
29. Wolk, Sara; Quinn, Jameson; Ogren, Marcus (2023-09-01). "STAR Voting, equality of voice, and voter satisfaction: considerations for voting method reform". Constitutional Political Economy. 34 (3): 310–334. doi:10.1007/s10602-022-09389-3. ISSN 1572-9966.
30. McKelvey, Richard D. (1976). "Intransitivities in multidimensional voting models and some implications for agenda control". Journal of Economic Theory. 12 (3): 472–482. doi:10.1016/0022-0531(76)90040-5.
31. Davis, Otto A.; DeGroot, Morris H.; Hinich, Melvin J. (1972). "Social Preference Orderings and Majority Rule". Econometrica. 40 (1): 147–157. doi:10.2307/1909727. ISSN 0012-9682. JSTOR 1909727.
32. Dotti, V. (2016-09-28). Multidimensional voting models: theory and applications (Doctoral thesis). UCL (University College London).
33. Kalai, Ehud; Muller, Eitan (1977). "Characterization of domains admitting nondictatorial social welfare functions and nonmanipulable voting procedures" (PDF). Journal of Economic Theory. 16 (2): 457–469. doi:10.1016/0022-0531(77)90019-9.
34. Balinski, M. L.; Laraki, Rida (2010). Majority judgment: measuring, ranking, and electing. Cambridge, Mass: MIT Press. ISBN 9780262545716.
35. Morreau, Michael (2014-10-13). "Arrow's Theorem". Stanford Encyclopedia of Philosophy. Retrieved 2024-10-09. One important finding was that having cardinal utilities is not by itself enough to avoid an impossibility result. ... Intuitively speaking, to put information about preference strengths to good use it has to be possible to compare the strengths of different individuals' preferences.
36. Roberts, Kevin W. S. (1980). "Interpersonal Comparability and Social Choice Theory". The Review of Economic Studies. 47 (2). [Oxford University Press, Review of Economic Studies, Ltd.]: 421–439. doi:10.2307/2297002. ISSN 0034-6527. JSTOR 2297002. Retrieved 2024-09-25. If f satisfies U, I, P, and CNC then there exists a dictator.
37. Maio, Gregory R.; Roese, Neal J.; Seligman, Clive; Katz, Albert (1 June 1996). "Rankings, Ratings, and the Measurement of Values: Evidence for the Superior Validity of Ratings". Basic and Applied Social Psychology. 18 (2): 171–181. doi:10.1207/s15324834basp1802_4. ISSN 0197-3533. Many value researchers have assumed that rankings of values are more valid than ratings of values because rankings force participants to differentiate more incisively between similarly regarded values ... Results indicated that ratings tended to evidence greater validity than rankings within moderate and low-differentiating participants. In addition, the validity of ratings was greater than rankings overall.
38. Kaiser, Caspar; Oswald, Andrew J. (18 October 2022). "The scientific value of numerical measures of human feelings". Proceedings of the National Academy of Sciences. 119 (42): e2210412119. Bibcode:2022PNAS..11910412K. doi:10.1073/pnas.2210412119. ISSN 0027-8424. PMC 9586273. PMID 36191179.
39. Sen, Amartya (1999). "The Possibility of Social Choice". American Economic Review. 89 (3): 349–378. doi:10.1257/aer.89.3.349.
40. Hamlin, Aaron (2012-10-06). "Podcast 2012-10-06: Interview with Nobel Laureate Dr. Kenneth Arrow". The Center for Election Science. Archived from the original on 2023-06-05.

    Dr. Arrow: Now there’s another possible way of thinking about it, which is not included in my theorem. But we have some idea how strongly people feel. In other words, you might do something like saying each voter does not just give a ranking. But says, this is good. And this is not good[...] So this gives more information than simply what I have asked for.
41. Arrow, Kenneth et al. 1993. Report of the NOAA panel on Contingent Valuation.
42. Poundstone, William (2009-02-17). Gaming the Vote: Why Elections Are not Fair (and What We Can Do About It). Macmillan. ISBN 9780809048922.
43. Lützen, Jesper (2019-02-01). "How mathematical impossibility changed welfare economics: A history of Arrow's impossibility theorem". Historia Mathematica. 46: 56–87. doi:10.1016/j.hm.2018.11.001. ISSN 0315-0860.
44. "Modern economic theory has insisted on the ordinal concept of utility; that is, only orderings can be observed, and therefore no measurement of utility independent of these orderings has any significance. In the field of consumer's demand theory the ordinalist position turned out to create no problems; cardinal utility had no explanatory power above and beyond ordinal. Leibniz' Principle of the identity of indiscernibles demanded then the excision of cardinal utility from our thought patterns." Arrow (1967), as quoted on p. 33 by Racnchetti, Fabio (2002), "Choice without utility? Some reflections on the loose foundations of standard consumer theory", in Bianchi, Marina (ed.), The Active Consumer: Novelty and Surprise in Consumer Choice, Routledge Frontiers of Political Economy, vol. 20, Routledge, pp. 21–45
45. Arrow, Kenneth Joseph (1963). "III. The Social Welfare Function". Social Choice and Individual Values (PDF). Yale University Press. pp. 31–33. ISBN 978-0300013641. Archived (PDF) from the original on 2022-10-09.
46. Harsanyi, John C. (1955). "Cardinal Welfare, Individualistic Ethics, and Interpersonal Comparisons of Utility". Journal of Political Economy. 63 (4): 309–321. doi:10.1086/257678. JSTOR 1827128. S2CID 222434288.
47. Neumann, John von and Morgenstern, Oskar, Theory of Games and Economic Behavior. Princeton, NJ. Princeton University Press, 1953.
48. Huber, Joel; Payne, John W.; Puto, Christopher (1982). "Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis". Journal of Consumer Research. 9 (1): 90–98. doi:10.1086/208899. S2CID 120998684.
49. Ohtsubo, Yohsuke; Watanabe, Yoriko (September 2003). "Contrast Effects and Approval Voting: An Illustration of a Systematic Violation of the Independence of Irrelevant Alternatives Condition". Political Psychology. 24 (3): 549–559. doi:10.1111/0162-895X.00340. ISSN 0162-895X.
50. Huber, Joel; Payne, John W.; Puto, Christopher P. (2014). "Let's Be Honest About the Attraction Effect". Journal of Marketing Research. 51 (4): 520–525. doi:10.1509/jmr.14.0208. ISSN 0022-2437. S2CID 143974563.
51. Moulin, Hervé (1985-02-01). "From social welfare ordering to acyclic aggregation of preferences". Mathematical Social Sciences. 9 (1): 1–17. doi:10.1016/0165-4896(85)90002-2. ISSN 0165-4896.
52. Caplin, Andrew; Nalebuff, Barry (1988). "On 64%-Majority Rule". Econometrica. 56 (4): 787–814. doi:10.2307/1912699. ISSN 0012-9682. JSTOR 1912699.
53. Fishburn, Peter Clingerman (1970). "Arrow's impossibility theorem: concise proof and infinite voters". Journal of Economic Theory. 2 (1): 103–106. doi:10.1016/0022-0531(70)90015-3.
54. See Chapter 6 of Taylor, Alan D. (2005). Social choice and the mathematics of manipulation. New York: Cambridge University Press. ISBN 978-0-521-00883-9 for a concise discussion of social choice for infinite societies.
55. Hamlin, Aaron (March 2017). "Remembering Kenneth Arrow and His Impossibility Theorem". Center for Election Science. Retrieved 5 May 2024.

Further reading

• Campbell, D. E. (2002). "Impossibility theorems in the Arrovian framework". In Arrow, Kenneth J.; Sen, Amartya K.; Suzumura, Kōtarō (eds.). Handbook of social choice and welfare. Vol. 1. Amsterdam, Netherlands: Elsevier. pp. 35–94. ISBN 978-0-444-82914-6. Surveys many of approaches discussed in #Alternatives based on functions of preference profiles^{[broken anchor]}.
• Dardanoni, Valentino (2001). "A pedagogical proof of Arrow's Impossibility Theorem" (PDF). Social Choice and Welfare. 18 (1): 107–112. doi:10.1007/s003550000062. JSTOR 41106398. S2CID 7589377. preprint.
• Hansen, Paul (2002). "Another Graphical Proof of Arrow's Impossibility Theorem". The Journal of Economic Education. 33 (3): 217–235. doi:10.1080/00220480209595188. S2CID 145127710.
• Hunt, Earl (2007). The Mathematics of Behavior. Cambridge University Press. ISBN 9780521850124.. The chapter "Defining Rationality: Personal and Group Decision Making" has a detailed discussion of the Arrow Theorem, with proof.
• Lewis, Harold W. (1997). Why flip a coin? : The art and science of good decisions. John Wiley. ISBN 0-471-29645-7. Gives explicit examples of preference rankings and apparently anomalous results under different electoral system. States but does not prove Arrow's theorem.
• Sen, Amartya Kumar (1979). Collective choice and social welfare. Amsterdam: North-Holland. ISBN 978-0-444-85127-7.
• Skala, Heinz J. (2012). "What Does Arrow's Impossibility Theorem Tell Us?". In Eberlein, G.; Berghel, H. A. (eds.). Theory and Decision : Essays in Honor of Werner Leinfellner. Springer. pp. 273–286. ISBN 978-94-009-3895-3.
• Tang, Pingzhong; Lin, Fangzhen (2009). "Computer-aided Proofs of Arrow's and Other Impossibility Theorems". Artificial Intelligence. 173 (11): 1041–1053. doi:10.1016/j.artint.2009.02.005.

External links

• "Arrow's impossibility theorem" entry in the Stanford Encyclopedia of Philosophy
• A proof by Terence Tao, assuming a much stronger version of non-dictatorship