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Hare quota

Hare quota is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hare quota rather than just read about it. In short: The Hare quota (sometimes called the simple, ideal, or Hamilton quota) is the number of voters represented by each legislator in an idealized system of proportional representation where every vote is used to elect someone. The Hare quota is equal to the number of votes divided by the number of seats.

Hare quota — main illustration
Hare quota — illustration

Key takeaways

  • Hare quota belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Hare quota to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hare quota from memory before moving on to harder problems.

Reference excerpt

The Hare quota (sometimes called the simple, ideal, or Hamilton quota) is the number of voters represented by each legislator in an idealized system of proportional representation where every vote is used to elect someone. The Hare quota is equal to the number of votes divided by the number of seats. The Hare quota was used in Thomas Hare's scheme for a single transferable vote system and can still be used for this purpose, though the Droop quota is used for most STV elections today. The Hare quota is often used to set electoral thresholds and to calculate apportionments under party-list proportional representation when using the largest remainder method. In such cases, the Hare quota gives unbiased apportionments that do not favor either large or small parties. Unlike Droop's quota, the Hare quota does not guarantee a party with a majority of votes in the district will win at least half the seats. In addition, all quota rules can result in a spoiler effect called the new state paradox, where adding votes to party A can cause an unrelated party B to lose seats to party C. The quota was first proposed by Alexander Hamilton for use in United States congressional apportionment as part of what is now called Hamilton's method.

Formula The Hare quota may be given as:

total votes total seats {\displaystyle {\frac {{\mbox{total}}\;{\mbox{votes}}}{{\mbox{total}}\;{\mbox{seats}}}}}

where

Total votes = the total valid poll; that is, the number of valid (unspoilt) votes cast in an election. Total seats = the total number of seats to be filled in the election.

Hamilton method The Hamilton method, also known as the method of largest remainders, uses the Hare quota to allocate seats in proportion to votes. Steps:

Calculate the Hare quota. Divide each party's total votes by the Hare quota to get a raw seat count. Assign each party the whole number part of their seat count. Distribute any remaining seats to parties with the largest fractional remainders.

Use in STV In an STV election a candidate who reaches the quota is elected while any votes a candidate receives above the quota in many cases have the opportunity to be transferred to another candidate in accordance to the voter's next usable marked preference. Thus the quota is used both to determine who is elected and to determine the number of surplus votes when a person is elected with quota. When the Droop quota is used, often about a quota of votes are not used to elect anyone (a much lower proportion that under the first-past-the-post voting system) so the quota is a cue to the number of votes that are used to actually elect someone. The Hare quota was devised by Thomas Hare, one of the first to work out a complete STV system. The number of votes in the quota is determined by the district magnitude of the district in conjunction with the number of valid votes cast.

Example Suppose an STV election using the Hare quota has two seats to be filled and three candidates: Andrea, Brad, and Carter. One hundred voters voted, each casting one vote and marking a back-up preference, to be used only in case the first preference candidate is un-electable or elected with surplus. There are 100 ballots showing preferences as follows:

Because there are 100 voters and 2 seats, the Hare quota is:

100 2 = 50 {\displaystyle {\frac {100}{2}}=50}

To begin the count the first preferences cast for each candidate are tallied and are as follows:

Andrea: 60 Brad: 26 Carter: 14 Andrea has reached the quota and is declared elected. She has 10 votes more than the quota so these votes are transferred to Carter, as specified on the ballots. The tallies of the remaining candidates therefore now become:

Brad: 26 Carter: 24 At this stage, there are only two candidates remaining and one seat open. The most-popular candidate is declared elected; the other is declared defeated. Although Brad has not reached the quota, he is declared elected since he has more votes than Carter. The winners are therefore Andrea and Brad.

Use in party-list PR Hong Kong, Brazil, and Guyana use the Hare quota in largest-remainder systems. Costa Rica uses a modified Hare quota for its Legislative Assembly. In Brazil's largest remainder system the Hare quota is used to set the basic number of seats allocated to each party or coalition. Any remaining seats are allocated according to the D'Hondt method. This procedure is used for the Federal Chamber of Deputies, State Assemblies, Municipal and Federal District Chambers.

In Hong Kong For geographical constituencies, the SAR government adopted weakly-proportional representation using the largest remainder method with Hare quota in 1997. Typically, largest remainders paired with the Hare quota produces unbiased results that are difficult to manipulate; however, the combination of extremely small districts, no electoral thresholds led to a system that parties could manipulate using careful vote management. By running candidates on separate tickets, Hong Kong parties aimed to ensure they received no seats in the first step of apportionment, but still received enough votes to take several of the remainder seats when running against a divided opposition. The Democratic Party, for example, filled three separate tickets in the 8-seat New Territories West constituency in the 2008 Legislative Council elections. In the 2012 election, no candidate list won more than one seat in any of the six PR constituencies (a total of 40 seats). In Hong Kong, the Hare quota has effectively created a multi-member single-vote system in the territory.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hare quota

Start with the simplest possible case. Write down what Hare quota claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hare quota before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hare quota ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hare quota

In research
Hare quota appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Hare quota in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Hare quota is common in secondary-school and first-year university syllabi. It links to neighbouring topics Apportionment methods, Electoral system quotas, Single transferable vote, so understanding it makes those chapters shorter.
In everyday life
Look for Hare quota outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Hare quota in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hare quota means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Hare quota out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hare quota in simple terms?

The Hare quota (sometimes called the simple, ideal, or Hamilton quota) is the number of voters represented by each legislator in an idealized system of proportional representation where every vote is used to elect someone. The Hare quota is equal to the number of votes divided by the number of seat…

Why does Hare quota matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hare quota?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hare quota.

Tags

  • Apportionment methods
  • Electoral system quotas
  • Single transferable vote

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