Boris Johnson: a triumphant victory or a distorted electoral system?

The first-past-the-post millennium electoral system is unfair. Let’s open a debate to get democracy done !

Olga Gorelkina Rida Laraki
19 December 2019, 2.09pm
What the general election results would like under a proportional representation system.

In the United Kingdom, candidates to the House of Commons are elected in single-member constituencies districts with the first-past-the-post system: an elector can cast one vote for at most one candidate, the winner is the one who has the most votes.

With this system, the last general elections (December 12, 2019) were trumpeted to be a triumph for Boris Johnson because the Conservative Party won a very comfortable majority of seats – 365 out of 650 seats (or 56.2%). But, if a proportional system was used (as in the European Parliament elections, see Table 1), the results and their interpretation change drastically: the Conservative Party, with 43.6% of the votes, would obtain only 284 seats, and the coalition (Labour, the SNP, the LibDem and the Greens) would have won a majority of seats (209+25+75+18=327 out of 650).

Such distortion is not specific to this election. The impressive 61% number of seats of Margaret Thatcher in 1983 was obtained with 42.4% of the votes and when in 2005 Tony Blair's Labour Party won a comfortable majority of 55.1% of the seats, he did it with 35.2% of the votes: only 3% away from the “worst defeat” of Jeremy Corbyn (32.2%). Almost the same results but not the same interpretation.

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Table 1: First-past-the-post vs proportional results in the last general election
Table 1: First-past-the-post vs proportional results in the last general election
Proportional results have been computed using Saint Laguë (also Webster) method. It proved to be fairest among the infinity of methods that transform --real number-- proportions to --integer value—seats: M. Balinski and P. Young (2001).

Tony Blair did it with 35.2% of the votes: only 3% away from the “worst defeat” of Jeremy Corbyn (32.2%).

If distortion is partially due to single-member constituencies, making the outcome sensitive to regionalism and geographic lines (cosmopolitans voted to remain, while rural areas voted to leave), this is mainly caused by the first-past-the-post system, because voters on the same side may end up splitting their votes between several parties.

Many races can be won by candidates who have less than 40% of the votes in their districts even when the margin over the second highest is small. A party with 10% votes spread fairly evenly throughout the country could easily end up with no seat. In the last election, one LibDem seat at the House of Commons represents 336,038 votes while one Conservative seat represents 10 times less (38,265 votes). Or, the LibDems with 11.6% of the votes got 11 seats, while the SNP with 3.9% got 48 seats.

The LibDems with 11.6% of the votes got 11 seats, while the SNP with 3.9% got 48 seats.

Fair Majority Voting

A different mechanism – fair majority voting FMV – can guarantee proportional representation while maintaining single-member constituencies. Voters vote as they do in the current system: for a candidate of a party in their district. But at the end, every party is apportioned a number of seats according to its country total vote and an elaborate algorithm computes which candidates of each party is elected in each district.

Despite its perceived complexity, it was adopted in several cantons in Switzerland. Following the 2002 Zürich City Parliament election, a citizen filed a suit in the Swiss Federal Court, claiming that the electoral law had violated his constitutional right to an equal vote. In December 2002, the Court ruled that indeed, the electoral law did violate the constitutionally guaranteed proportional representation principle.

The Zürich department of the interior found the bi-proportional apportionment method more to its liking. It is fair majority voting but for multi-member constituencies. This mechanism is used in the canton of Zürich since 2006, Schaffhausen 2008, Aargau 2009, Zug 2014 and Nidwalden 2014. In Zug, the bi-proportional method was adopted by referendum, obtaining 81% of the votes against the status quo; in Nidwalden it was adopted by 57% of the votes in a field of five possibilities. In all cases, the large political parties actively campaigned against it.

FMV has a drawback: the winner of a district is not necessarily its “best” representative because the designated winner may not be the one having the highest first-past-the-post score in the district (and this happens very often, however much is needed to restore proportionality). Swiss voters accepted that drawback, but perhaps UK voters would not.

Majority Judgment

Majority Judgment, a new voting method, avoids vote splitting while maintaining single-member constituencies and guaranteeing that the winner of a district is its best representative. Instead of voting for one candidate, a voter evaluates all the candidates of her district by assigning to each a grade “Excellent, Very good, Good, Poor or Terrible”. Majority Judgment avoids vote splitting because a voter can give her highest grade to several candidates and by its design, it elects in each district the candidate best evaluated by a majority. This method does not guarantee proportional representation, though theoretical and experimental results suggest that majority judgment induces more representation than most known systems (Approval Voting, Range Voting, STV, two-past-the-post, Borda and Condorcet methods).

The first-past-the-post millennium electoral system, a pure invention, is unfair and easily manipulable by candidates and partisan voters. Several modern voting methods have been invented by scientists, and are implemented. Let’s open a debate to get democracy done !

Further reading

M. Balinski (2008). Fair majority voting (or how to eliminate gerrymandering), American Mathematical Monthly 115, 97-113.

M. Balinski and G. Demange (1989). An axiomatic approach to proportionality between matrices,” Mathematics of Operations Research 14, 700-719.

F. Pukelsheim (2013). Proportional Representation: Apportionment Methods and Their Applications. Springer.

M. Balinski and R. Laraki (2011). Majority Judgment: Measuring, Ranking, and Electing, M.I.T. Press

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