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Holbrook
Emma Holbrook
Honors Thesis
April 22, 2014
Faculty AdvisersDr. KuhlmannDr. Hardwick
Second Reader Dr. Christine Kinsey
Title
Replacing the Apportionment Method of the Electoral College and the House of Representatives: Replacing Huntington-Hill Apportionment with Dean’s method and Re-adjusting to Population Shifts
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Table of Contents
Introduction 3
THESIS STATEMENT 4
UNITED STATES GOVERNMENT APPORTIONMENT USAGE OVERVIEW 4
IMPORTANT TERMINOLOGY FOR APPORTIONING THE HOUSE OF REPRESENTATIVES AND ELECTORAL COLLEGE
8
THE HISTORY OF APPORTIONMENT METHODS 9
THE EFFECT OF FAIRNESS CRITERIA ON APPORTIONMENT METHODS12THE UTILIZATION OF HUNTINGTON-HILL APPORTIONMENT
15RETURNING TO THE WEBSTER METHOD 16MONTANA V. UNITED STATES DEPARTMENT OF COMMERCE: WHEN DEAN METHOD CHALLENGED HUNTINGTON-HILL METHOD 17THE REASONING BEHIND THE DEAN METHOD OF APPORTIONMENT 21
RISKS IN MAKING FUTURE CHALLENGES TO HUNTINGTON-HILL IN COURT 23
REASONS FOR MORE FREQUENT CENSUSES FOR STATE APPORTIONMENT 24
UTILIZATION OF CENSUSES RATHER THAN SAMPLING FOR APPORTIONMENT 27
THE CURRENT HOUSE SIZE FLAWS THE PRESIDENTIAL ELECTION 29
REASON TO TRANSFORM STATE REPRESENTATION IN THE HOUSE OF REPRESENTATIVES AND ELECTORAL COLLEGE: VOTER DISSATISFACTION 32CONCLUSION 35BIBLIOGRAPHY 38
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Introduction:
The United States Constitution was a product of compromise. At the Constitutional
Convention, in 1787, the Framers agreed over a separation of powers and three branches
of federal government. Nevertheless, they could not agree on how the legislative branch
should be constituted. Small states backed the New Jersey plan, while large states backed
the Virginia plan. Finally in the end, a compromise was struck between the two plans.
The final product mandates that representation in the House of Representatives shall be
based on the states’ populations, but it does not specify the exact apportioning method in
which this shall be achieved. This unspecified method has significant implications on the
Presidential Elections also because the number of Electoral votes a state receives is
contingent on the number of members in the House. Since 1787, several different
apportionment methods have been employed, each demonstrating bias. Yet in 1941,
Congress established the permanent method of apportionment known as the Huntington-
Hill method. By examining close elections, evidence portrays how this method fails to
fairly seat the House of Representatives and the Electoral College. As a result, citizens of
Montana proposed new methods of apportionment in the 1990s.
Montana suggested an alternative, the Dean Method, to replace the Huntington-Hill
Method. I argue in this paper, that the Dean Apportionment method acts as a plausible
replacement for apportioning the House of Representatives and the Electoral College.
The replacement of the Huntington-Hill method, accompanied by more frequent censuses
increases citizens’ approval of seating in the Federal government. More frequent censuses
maintain the accurate representations necessary for seating the modern government. Due
to an aging United States population, domestic migration, and the geographically
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heterogeneous effects of foreign immigration, the distribution of population shifts
frequently. Population shifts alter the seating in the House and the Electoral College. In
addition, large House sizes increase citizens’ satisfaction with the House and the
Electoral College because for large House sizes, the relative representation of the states in
the Electoral College becomes closer to their relative representation in the House.
Thesis Statement:
Political results from close elections and controversial United State Supreme Court
cases demonstrate that the Huntington-Hill apportionment method fails to fairly seat the
House of Representatives and the Electoral College. Despite laws preventing replacement
of Huntington-Hill, the Dean method appears to be an attractive replacement. Utilization
of the Dean method, accompanied by more frequent censuses, and a large House size will
increase citizen voter approval in the Presidential Elections as positions in the Electoral
College will more accurately represent the state ratio in the House of Representatives.
United States Government Apportionment Usage Overview:
Apportionment of seats in the House of Representatives causes arguments since
objects are being divided and there is a proportionality criterion for division. The
Apportionment debate, concerning the makeup of the legislature, began at the
Constitutional Convention. At the Convention, small states wanted all states to have the
same number of representatives, whereas larger states wanted some form of proportional
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representation (Tannenbaum 123.) As a result, the House of Representatives was
composed by proportional representation and the Senate had a fixed number of seats
constant for every state. Ernst explains how in, “Article I, Section 2 of the U.S.
Constitution requires that the House of Representatives ‘shall be apportioned among the
several States according to their respective Numbers,’ and that ‘each State shall have at
least one Representative’” (Ernst 1207.) Thus, apportionment was only necessary for the
House of Representatives since seating would be proportional to each state’s population.
In 1787, the Constitutional Convention was authorized by Congress in order to
revise the Articles of Confederation, which been in session since May 25. In his article,
"A Great Compromise Settles the Acrimony the House and Senate are Born Out of
Necessity. A Great Compromise Settles the Acrimony," Michael Schaffer describes how
Paterson, an attorney offered the New Jersey Plan as a blueprint for national government
that has been the center of the meeting's attention up to now (Schaffer, 2003.) The
proposal for government, prepared with the collaboration of delegates from New Jersey,
Connecticut, New York, Delaware and Maryland, called for a one-house Congress with
an equal vote for each state.
The New Jersey Plan takes the larger population of the big states into account in
one important way; Congress would have the power to tax states based on their
population. The New Jersey Plan also proposed a weak executive, with power vested in
several officials elected by Congress. Paterson argues that the New Jersey Plan keeps
with the powers vested in the Constitutional Convention and "the sentiments of the
people," which are not ready for a national government (Schaffer, 2003). Not
surprisingly, given the convention's deepening rift between big-state and small-state
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delegates, the convention heated when debate on the New Jersey Plan began on June 16.
Promoters of the New Jersey Plan believed that the Virginia Plan, which was crafted by
James Madison, would leave the states the authority to deal only with "little local
matters” as the larger states would have more control (Schaffer, 2003). Madison believed
the New Jersey Plan was an effort to secure to the smaller states equality with the larger
states in the structure of the government. On June 19, Madison dissected the Jersey
proposal with relentless precision. When he finished, the convention votes ended in 7 to
3, with the Maryland delegation divided, in favor of the Virginia Plan (Schaffer, 2003.)
Still the vote did not bring harmony because the delegates argued about the number
of seats each state should have in the national legislature. They could not decide if
representation should be based on population or if each state have the same number, so
later, Committee Member Sherman suggested that each state have the same vote in one
house and a vote based on its population of citizens in the other (Schaffer, 2003). After
some discussion, the committee recommended a plan calling for each state to have one
representative for every 40,000 inhabitants (including three-fifths of all slaves) in the first
house of the national legislature and an equal vote in the second house. All bills related to
money began in the first house, the House of Representatives, and were not altered by the
second house, the Senate. On July 16, the compromise, known as the Great Compromise,
the Federal Compromise, and the Connecticut Compromise squeaked through the
convention, 5 to 4, with Massachusetts divided, the New York delegates absent, the New
Hampshire delegates absent, and Rhode Island not participating (Schaffer, 2003).
Historians recognize that the agreement did indeed address the central issue of the
convention, that of balancing the competing interests of different states through
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compromise over representation in the national government (Festa 2020.) It was a
pragmatic arrangement: small states preserved their role as sovereigns through equal
representation in the Senate, while the proportional representation in the House gave
leverage to the larger states who were further mollified by the exclusive origination of
revenue and spending bills in that body (Festa 2020.) Still, some delegates introduced a
set of concerns regarding the proposed selection by Congress because they feared that
giving complete control to the legislative branch would compromise the independence of
the executive (Festa 2023.) Wilson of Pennsylvania thought of a solution similar to
House of Representatives: an appointment by the people to make the executive and the
legislature "as independent as possible of each other” (Festa 2023.) He also proposed,
"the States be divided into districts," where voters choose "Electors" who meet to elect
the "Executive magistracy” (Festa 2023.)
Yet after the Great Compromise incorporated both proportional representation in
the House and equal representation in the Senate, the delegates turned back to the issue of
the executive, this time with a structural model for a balance between federal and state
power. The number of Electors for each state electing for the executive branch is the sum
of a fixed component and proportional component based on the seating for the legislative
branch. Originally, the Virginia Plan, Madison's proposal for a national government,
called for a "National Executive" to be chosen by the "National Legislature" (Festa
2022.) In the New Jersey Plan also advocated selection of the executive by the
legislature, the proportion component corresponds to the number of seats in the House of
allocated to each state. For instance, in 2000, the state of California had 54 seats, while in
the Senate the state had 2 Senators, totaling 56 Electors for the presidential election. The
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convention delegates’ concerns about the independence of the executive office were now
tied to the question of the proper federal balance-animated, as always, by the states'
relative interests. Still, even after the creation of the electoral college, determining an
apportionment method to distribute the seating for each state’s representatives in the
House and Electoral College electors has been a continued debate throughout United
States history.
Important Terminology for Apportioning the House of Representatives and
Electoral College
In order to understand the difference between apportionment methods techniques, it
is essential to understand certain terminology. First, ‘states’ refers to the players involved
in the apportionment, and ‘seats’ is the term utilized to describe the set of M identical,
indivisible objects that are being divided among the N states (Tannenbaum 127.) Used as
the basis for the apportionment of the seats to the states, the ‘population’ is the set of N
positive numbers. The ratio of population to seats, referred to as the ‘standard divisor,’
gives us a unit of measurement for our apportionment calculations; thus, the standard
divisor of people is equivalent to one seat (Tannenbaum 127.)
Another important term to remember, ‘the standard quota’ of a state, is the exact
fractional number of seats that the state would get if fractional seats were allowed. In
order to find a state’s standard quota, divide the state’s population by the standard
divisor. In general, the standard quotas can be expressed as fractions or decimals; one
rounds the standard quotas to two or three decimal places and one uses the notation q1,
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q2,..., qN to denote them to their respective states (Tannenbaum 127.)
When creating an apportionment method, mathematicians realize that there are an
infinite number of possible divisor methods, but only five methods have a significant role
in apportionment history. Other apportionment methods are cast aside due to fairness
criteria checks that I explain later in the paper. For each divisor method, the number of
seats assigned to a state designated based on state’s population. The divisor, denoted as
X, can be thought of as a target district size; the divisor must be the same for each state
(Ernst 1208.)
The History of Apportionment Methods
Alexander Hamilton's method of apportionment was the first to be adopted by
Congress in 1792, but was not then used. Thomas Jefferson persuaded George
Washington and Jefferson's method was then adopted (Bradberry 5.) Subsequently,
abandoned Hamilton's method was re-adopted two generation later.
Hamilton’s method, also known as the method of greatest remainders, was the
apportionment method used for the House and the Electoral College for the first five
censuses through 1830. Congress later grew dissatisfied with Hamilton’s method,
because the method appeared to favor large states (Ernst 1208.) Consequently, due to
dissatisfaction from small states, the method of major fractions, known as the Webster
method, replaced Hamilton’s method in 1840 (Ernst 1208.). Hamilton’s method returned
as the specified method again from 1850 to 1900 because for censuses within this time
period. The apportionment was altered because it is possible for a state to lose seats if the
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House size is increased with a fixed set of state populations when states were apportioned
by Hamilton’s method (Ernst 1208.) The anomaly, known as the "Alabama paradox,"
observed in the 1880 census, is one of a few paradoxes that I will introduce later in the
paper along with Fairness Criteria.
In addition to the altered apportionment allocations, the House and Electoral
College were not automatically fixed in size during the period of use of Hamilton’s
method (Ernst 1209.) Thus, the House was not always fixed as a size of 435 as it is today.
Congress, following each census, after reviewing the allocations with various House
sizes, decided the size of the House of Representatives. Fractional seats were not as
complicated when the size of the House was determined after reviewing the each census.
This process implies that Hamilton’s method of apportionment was a simpler process
than modern methods. Yet simpler does not imply fairer, hence, Congress then decided to
return to Webster’s method for the 1910 census.
Due to fair arguments made by mathematicians, Congress fixed the House size at
435 by law about the time of the 1920 census. Also around this time, Professor Edward
Huntington of Harvard refined Joseph Hill’s unaccustomed method from 1911 to become
the principal advantage of the method of equal proportions (Ernst 1209.) Huntington’s
revision of Hill’s earlier method is named the Huntington-Hill apportionment method.
His method is, as Huntington claims, “the champion of the method of equal proportions”
because Huntington describes, “The "multipliers" (to the fractional seats) are the
reciprocals of the geometric means of consecutive integers; hence the method of equal
proportions may be called also the method of the geometric mean” (Huntington 863.)
Huntington promotes other evidence of fairness from utilization the Huntington-
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Hill method; the method is pairwise optimal with respect to relative differences in both
district sizes and shares of a representative. Pairwise optimal involves making sure that
when switching a seat from one state to another, it does not diminish the fairness of the
apportionment as given by some measure of fairness. In order for a method to be pairwise
optimal with respect to a particular measure of inequity, no transfer of representatives
between any pair of states decreases the amount of inequity between these states. The
case for the Huntington-Hill method consequently rests on these pairwise optimality tests.
Huntington further supports his method as he displays a calculative test made by
the American Mathematical Society to test “the average error.” Huntington promotes his
method also as he states, “It can be shown that in any given case the method which makes
the value of this total or average error a minimum, is precisely the method of equal
proportions” (Huntington 865.) Evidence and fairness criteria support the early argument
of the Huntington-Hill method from the 1920s.
Congress looked to switch to Huntington-Hill as a result of Huntington’s
promotions. Yet the 1930 allocations for the Huntington-Hill and Webster methods were
identical, so Congress had no need to take further action to allocate officially in the name
of the Huntington-Hill method (Ernst 1212.) Thus, under the applicable law, the House
was automatically apportioned under the method last used, the Webster method.
Nevertheless in 1940, apportionment allocations by the Huntington-Hill method
and by the Webster method differed for Arkansas and Michigan. As a result, Congress
officially adopted Huntington's reasoning rather than Webster’s. Congress then declared
that the Huntington-Hill method was the preferred method on the basis of the pairwise
tests, for which it is optimal. Congress described the Huntington-Hill method as
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“mathematically occupying a neutral position with respect to emphasis on larger and
smaller states" (Ernst 1212.) The legislation was enacted apportioning the House by the
Huntington-Hill method in 1941, on a mainly party line vote. This method has been used
ever since and, also under the 1941 law, the Huntington-Hill method’s continued use is
automatic until superseding legislation is enacted.
Consequently, the Huntington-Hill method has been used without any serious
competition from alternative apportionment methods until 1991. At this time, the states of
Montana and Massachusetts initiated separate lawsuits in federal court. I will discuss the
significance of Montana’s lawsuit later.
The Effect of Fairness Criteria on Apportionment Methods
Fairness criteria challenge the acceptance of new apportionment methods. The
fairness criteria are necessary for the legislature’s efforts to apportion votes with a
reliable procedure that will always yield a valid or fair apportionment in any population-
based situation. The federal government, such as the Supreme Court during lawsuits,
turns to the criteria to test incoming challenges by alternate apportionment methods.
The most common fairness criteria were brought up during the first few censuses
when apportioning the House and Electoral College. These fairness criteria entail that no
state be apportioned a number of seats smaller than its lower quota or larger than its
upper quota (Tannenbaum 129). When a state is apportioned a number smaller than it’s
standard quota rounded down, it is a violation of the lower-quota violation. The standard
quota rounded down is its lower quota and the standard quota rounded up is its upper
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quota. An upper-quota violation is when a state is apportioned a number larger than its
upper quota (Tannenbaum 129.) Yet, apportionment methods that violate these criteria
are rarely utilized now.
Other criteria became easily recognizable in later censuses. For example, although
Hamilton's method, both simple and straightforward, clearly stays within fair share quota,
three paradoxes affect this method, consequentially making it unacceptable. The Alabama
Paradox was the first paradox to disqualify, Hamilton's method from House and Electoral
College apportionment allocation. In the Alabama Paradox, a state may unjustly lose
representative seats as the size of the House of Representatives increases, even when the
number of states and their populations remain unchanged (Bradberry 6.) The Alabama
Paradox was recognized as a serious issue that government avoided in further censuses.
Jonathan W. Still describes U.S. government’s focus on this paradox in his article, "A
Class of New Methods for Congressional Apportionment" stating that, “In Balinski and
Young’s terminology, an apportionment method that avoids the Alabama paradox is
"house monotone." While not having the strong intuitive appeal of ‘satisfying quota’ as a
requirement, house monotonicity came to be a political necessity” (Still 402.)
The other two paradoxes are not as well known. The Population Paradox is another
paradox affected by Hamilton’s method. This paradox implies that where there is a fixed
house size and a fixed number of states, it is possible that a given state may lose
representation to a second state even if the first state's population is growing faster than
the second state (Bradberry 6.) The other paradox effecting Hamilton’s method is the
New States Paradox. This paradox states that if a new state enters, bringing in its
complement of new seats, a given state may lose representation to another paradox even
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when there is no change in either of their populations (Bradberry 6.) A state’s
complement of new seats is the number it should receive under the apportionment
method in use.
To prevent violations of the paradoxes introduced, mathematicians Balinski and
Young proposed five axioms to recognize when creating apportionment methods in order
to avoid paradoxes interfering with fairness. Their first axiom was ‘The Population
Monotonicity Axiom,’ which states that no state that increases in population loses a seat
to a state that decreases in population (Bradberry 4.) The next axiom composed was the
‘The Absence of Bias Axiom’ states that each state, over a period of time, will receive its
fair share on average (Bradberry 4.) ‘The House Monotonicity Axiom’ necessitates that
for a fixed population, as the total number of states increases, no state will lose a seat
(Bradberry 4.) Additionally, ‘The Fair Share Axiom’ entails that the number of state's
representative seats is not equal from its fair share. The numbers must differ by one
whole seat or more (Bradberry 4.) ‘The Near Fair Share Axiom’ requires that there are
no transfers of seats between states that bring both states nearer to their fair shares
(Bradberry 4.)
Unfortunately, the most important result in the history of the apportionment
problem is the impossibility theorem stated by Balinski and Young, which declares that
there exists no method of apportionment that satisfies these five axioms (Bradberry 4.)
Thus, no divisor method stays within fair share, but a method can only be population
monotone if and only if it is a divisor method. No method can stay within fair share and
be population monotone.
The ultimate issue is deciding whether a method is fairer by staying within fair
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share or by being population monotone. We will use this question to judge the
Huntington-Hill Apportionment method’s relative fairness compared to alternative
methods.
The Utilization of Huntington-Hill Apportionment
Why is the Huntington-Hill Apportionment method currently used to apportion the
seats for the Electoral College and House of Representatives in the United States?
Huntington explains in his defense of this method that, “The inequality between two
states is thus reduced to the more definite concept of the inequality between two
numbers. The question then comes down to this: what shall be meant by the inequality
between these two numbers” (Huntington 86.) Huntington argues the credibility of his
method by taking the absolute difference between the two numbers, or the relative
difference between them based on the size of the congressional districts. The Method of
the Harmonic Means favors the small states compared to the Method of Major fractions,
while the later method favors the large states (Huntington 91.) The Method of Equal
Proportions may be described as the only method which makes the ratio of population to
representatives and the ratio of representatives to population nearly uniform as possible
among the several states based on "comparison tests” (Huntington 108.) Still, the
Huntington Hill method has caused unlikely outcomes, such as in the 2000 presidential
election. Additionally problematic, the desire to avoid the Alabama paradox when
creating Huntington-Hill apportionment method caused ignorance towards the quota
problem.
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The Equal Proportions Method does not satisfy quota, even though the problem has
not caused much controversy (Still 402.) The four times that the Equal Proportions
Method has been used, only by chance the resulting apportionment satisfied the quota
(Still 402.) But there are no promises those specific apportionments by the Huntington-
Hill method can continue to satisfy the quota. As a result, there will most likely be
lawsuits from affected states when apportionments do not satisfy the quota under the
Huntington-Hill apportionment method. Consequently, many wonder if it is a better
option to replace the apportionment method with another.
Returning to the Webster Method
The method of Webster rounds the quotient population and the divisor to the
nearest integer number; if the U.S. government returned to utilizing the Webster method,
the probability that Webster violates this property called “staying within the quota” is
negligible (Barthélémy and Martin, 93.) Furthermore, the method of Webster is the only
divisor method that respects the property of being “near the quota”. The property of being
“near the quota” says that if a State gives one seat to another State, it is not possible that
the new number of seats of these two States brings them simultaneously nearer their
quota (Barthélémy and Martin, 93.) If the government choses to focus on this property,
the Webster Method will be more qualified to replace the Huntington-Hill Apportionment
method.
Another important property satisfied by the method of Webster concerns a possible
bias. It is certainly a negative characteristic if a method has a persistent bias in favor
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either the small States or the large States. There are several ways of measuring this bias.
One way to measure bias is absolute by asking if a state always receives more seats than
its quota (Barthélémy and Martin, 94.) Additionally, a relative one measure of bias asks
if a state always receives more seats for one citizen than another state (Barthélémy and
Martin, 94.) The only divisor method without either absolute bias or relative bias is the
method of Webster (Barthélémy and Martin, 94.) This theoretical and empirical result is
the fundamental argument for returning to the Webster method. By having a good
balance between population and power implies that every citizen in the country has the
same power whatever the state he or she belongs to. Many suggest this trait is a condition
of democracy.
Montana v. United States Department of Commerce: When Dean Method
Challenged Huntington-Hill Method
The United States Supreme Court opposes any challenge to the apportionment
method of the House of Representatives and Electoral College since 1941. The barrier
against the replacement of methods was demonstrated in the lawsuit initiated by the state
of Montana in federal court challenged the constitutionality of the current method, the
Huntington-Hill method. In Montana v. United States Department of Commerce in 1991,
Montana proposed two methods as alternatives to the method of equal proportions (Ernst
1213.). Montana preferred the method of harmonic means, also known as the Dean
method, and the method of smallest divisors, also known as the Adams method. Both
advantageous to Montana, each method would have given Montana two seats instead of
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the single seat allocated by the Huntington-Hill method (Ernst 1213.) Montana first
succeeded by a two-to-one majority because when the original ruling came from a three-
judge panel in the Montana case, the panel ruled that the method of equal proportions was
unconstitutional. Two of the judges said that the method of equal proportions fails to
minimize the absolute discrepancies among states as to the number of citizens per
representative (Barrett 1992.) The third panel member dissented. Under an alternative
formula urged by sparsely populated Montana, the state would have continued to get two
representatives, while Washington state would have lost one of the nine House seats it
had been allocated.
Yet the Bush administration took charge when the administration appealed the
decision of the three-judge district court in the Montana case to the Supreme Court.
Consequently, in 1992, the Supreme Court unanimously upheld the constitutionality of
the Huntington-Hill method of apportionment. Justice Stevens brought forth the ruling of
the Supreme Court as and rejected Montana's argument that the method of apportionment
must achieve precise mathematical equality (Barrett 1992.) He deferred to Congress by
arguing that Congress deserves broad deference to choose a method of apportionment, as
long as it exercises good faith and he stressed that the current method had been endorsed
by independent scholars as fair and has been accepted for 50 years without significant
problems (Barrett 1992.) Furthermore, Justice Stevens finalized the case by stating that
the principle of equality required for intrastate districting applies to interstate
apportionment and that the court concluded that there is no unsuitability to minimizing
both absolute and relative differences. Stevens furthered that all districts within a state
can be brought closer to the ideal simultaneously, based on the legal reasoning of
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Wesberry v. Sanders in 1964.
In 1964, The U.S. Supreme Court had ruled earlier by the "one person, one vote"
principal, that the intrastate redistricting of congressional districts must provide "equal
representation for equal numbers of people" (Ernst 1213.) By meeting the “one person,
one vote” principle, apportionment must minimize "absolute population variances
between districts" (Ernst 1213.) Though the court based their reasoning on a test designed
for district sizes, they concluded that this test was more reliable than a test than one based
on shares of a representative. Hence, their reasoning is mislead and unreasonable for
apportioning the Electoral College and House of Representatives.
In addition, The Supreme Court assumed that absolute difference is a better
measure than relative difference even though the issue of the best test does not apply for
intrastate redistricting. Differences can be made as close to zero as desired for any of
these methods of measurement, so that argument does not support the utilization of the
absolute difference test. The Montana lawsuit lacked evidence to answer why absolute
difference in district sizes is the appropriate test to cite redistricting cases.
Further, plaintiffs also assume that by measuring absolute population variance
among all districts, they determine the bias of the apportionment methods. As evidence,
the defendants observed that the method of equal proportions that always minimizes the
measure absolute population variance among all districts. The defendants also claim that
the method of Harmonic means results in the smallest such variance. They support the
Huntington-Hill despite the conflicting lack of bias of the Dean Method. This reasoning
disagreement in the claims results from the formula used by the plaintiffs. Their formula
did not take into account the number of districts in each state since it measures variability
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among the mean district sizes of the 50 states. The result fails to take into account the
variance of the sizes of the 435 districts, even though this variance is the criterion
actually stated in the plaintiffs' briefs. (Ernst 1214.)
Even though, Justice Stevens stated that a measure of deviation from the ideal
district size should take into account the number of districts in each state, he then made
the critical observation that "neither mathematical nor constitutional interpretation
provides a conclusive answer" to the question of the best measure of inequality. Either by
pairing absolute or relative difference with either district size or share of a representative,
he concluded: "The polestar of equal representation does not provide sufficient guidance
to allow us to discern a single constitutionally permissible course." Thus, the Supreme
Court concluded that the goal of mathematical equality, while appropriate in the intrastate
context, is illusory for interstate apportionment, since each state must have at least one
representative and districts cannot cross state lines.
Still, the Court ruled that a fair apportionment required some compromise between
the interests of the smaller and larger states, and indicating that Congress had been
delegated the authority in the Constitution to reach this compromise. Justice Stevens
concluded his answer, “The decision to adopt the method of equal proportions was made
by Congress after decades of experience, experimentation, and debate about the
substance of the constitutional requirement…That history supports our conclusion that
Congress had ample power to enact the statutory procedure in 1941 and to apply the
method of equal proportions after the 1990 census.’” (Ernst 1222.)
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The Reasoning Behind The Dean Method of Apportionment
James Dean proposed first proposed his method in 1832. He proposed that the
absolute difference between district sizes between any two states be made as small as
possible for a given House size. If a transfer of one seat from one state to another state
lowers the difference in district sizes for two states, such a transfer should be made
(Neubauer and Gartner 77.)
If the House had been set at 1,285 members after the 1990 census, California would
have received 155 seats under the Huntington-Hill apportionment method. Yet according
to the second condition of Article I, Section 2, of the Constitution, California's share in a
House of that size could only be 153.98. This is an instance of a quota violation, which
would certainly be a hard pill for other states to swallow (Neubauer and Gartner 78.),
such an occurrence would be viewed as a very severe violation of the idea of fairness and
should be avoided at great cost. Even though if we fix a House size and choose Dean's
method we run the risk of violating the quota, quota violations occur for less than 1% of
House sizes for Dean’s method (Neubauer and Gartner 78.)
In Montana v. United States Department of Commerce, the court case mentioned
earlier, Montana claimed that the Dean method minimizes the absolute deviations from
the ideal district size (Edelman 307.) By absolute deviation is the sum of the differences
between the average district size of the states and the ideal district size. Montana
reasoned that when taking the difference between the average district size and the ideal
district for all 50 states, and then adding them together, the sum is be smaller when using
the Dean apportionment than when using any other apportionment (Edelman 307.)
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Consequently, Montana concluded Dean Method was the best method for minimizing the
absolute deviations from ideal district size; Montana furthered that the Dean method
better approximated "one person, one vote" than did the Hill apportionment.
When ruling the case, The Supreme Court focused on computing the differences for
Montana and Washington; Under the Hill Method, the absolute difference between the
population of Montana's single district and the ideal district was 231,189 (Edelman 309.)
The difference between the average Washington district and the ideal was 29,361. The
sum of the deviations from the ideal in the two states was 209,165 under the Dean
Method, while it was 260,550 under the Hill Method. Both absolute deviation and total
deviation are smaller under the Dean apportionment than under the Hill apportionment
just as Montana claimed (Edelman 310.) Still, even though the Dean Method had the
lower absolute deviation, the Court justified Huntington-Hill by throwing up its hands
when its favorite method of analysis contradicted the claims of Montana. The Supreme
Court conclusively chose to turn to a "polestar of equal representation," which can guide
the Court through the apportionment dilemma. That polestar is a measure of minimum
total deviation (Edelman 311.)
The Court's ruling against Montana flawed mathematically on the basis of how
chose best to approximate "one person, one vote” because the Court did not unify its
decision with the other districting cases with the apportionment of Congress (Edelman
311.) For example, in the line of congressional districting cases from Wesberry to
Karcher, the Court established total deviation as the measure of disparity from equal
district size and concluded Article I, §2 requires the apportionment of Congress be one
that achieves the minimum total deviation. The total deviation from the ideal district is
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the one that the Court has established for districting cases to turn to when measuring "one
person, one vote." Minimizing total deviation is the "polestar" for which the Court should
have been searching in Department of Commerce (Edelman 313.)
If the Court was willing to stretch Article I, §2 to apply to intrastate districting in
Wesberry v. Sanders, it surely should apply similar reasoning to interstate districting
(Edelman 320.) The standard set in Wesberry is never directly confined to intrastate
districting. There is no excuse for ignoring our Constitution's plain objective of making
equal representation for equal numbers of people the fundamental goal for the House of
Representatives. It is difficult to believe that this "fundamental goal" applies within a
state but not between states because Wesberry is based on the only clause in the
Constitution that speaks to the apportionment of the House.
Risks in Making Future Challenges to Huntington-Hill in Court
The equal protection argument protecting Huntington-Hill apportionment for the
Electoral College falls short of overcoming the same constitutional roadblocks that have
prevented a general challenge to the Electoral College. For example, the Fourteenth
Amendment does not alter the original federal-state balance, which was created to
remove the states from their constitutional role in selecting the President (Festa 2101.) In
addition, the Article II text and the system of dual sovereignty places a state's choice of
the unit rule, or any other method, above the reach of any judicial interference; only
unilateral action by state legislatures or a constitutional amendment will alter the practice.
The Constitution has been interpreted to place state legislatures ability to choose the
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method beyond the reach of a legal challenge on general majoritarian grounds. In
addition to the textual commitment in Article II, the electors are to be appointed in the
states "in such Manner as the Legislature thereof may direct,” but the federalist structure
of the Constitution contemplates a distinct role for the states in national elections, and
thereby places the Electoral College outside the framework of a challenge on general
democratic principles (Festa 2102.) Critics argue that since the winner receives the entire
electoral vote of the state, those who voted for a different candidate are not represented in
the Electoral College, and their votes are "counted only for the purpose of being
discarded" (Festa 2101.) Yet even though this very premise is subject to challenge on
constitutional and general political science grounds, the argument does fit more
accurately within the framework of a viable equal protection claim.
Still, there are four possible avenues for changing the apportionment method and
reforming the Electoral College: constitutional amendment, unilateral action by state
legislatures, lawsuit, or federal legislation. The first two options are both unlikely to
occur because of the long process involved, but for the other two methods, note that a
state's choice to employ the unit rule would be impermissible if the unit rule is indeed
inconsistent with the Fourteenth Amendment (Festa 2101.) The argument concludes that
while the states' discretion is constitutional, the particular exercise of that discretion to
employ the unit rule is not.
Reasons for More Frequent Censuses for State Apportionment
The Electoral College and the House of Representatives are time-honored; thus, the
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number of seats is based on a census taken every ten years. Each census launches the
process of redistricting, in which each state redraws congressional district boundaries to
make each district roughly equal in population. In some cases of censuses, the frequent
shift of population gives one party a significant electoral advantage. Understanding of
population dynamics at both the state and national levels is key to understanding the
modern population’s movement effect on the censuses taken for the apportionment of
seats in both the House and Electoral College.
The fundamental problem of the census is that the states of the United States are too
disparate in size and influence. The population shifts too dramatically within ten years for
the census to be an accurate representation of each state. In “The Electoral College after
Census 2010 and 2020: The Political Impact of Population Growth and Redistribution”,
Edward M. Burmila displays characteristics of population change as he describes,
“Demographers have long understood these dynamics by isolating the three components
of population change: interstate domestic migration, foreign immigration, and the rate of
natural replacement (births relative to deaths) among static population” (Burmila 837.)
By focusing on the shifts of the population in order to predict future population shifts and
by taking more frequent censuses, the apportionment of seats will more accurately
represent the population of each state in the United States.
Analysis of population dynamics focuses on the baby boom generation. The
boomers highlight the importance of interstate domestic migration to population balance
among states and regions. Census data from domestic migration by immigrants between
2000 and 2007 show that seven of the biggest population gainers are Sun Belt states
(Burmila 838.) The biggest lost of population is almost entirely in the Midwest,
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Northeast, and Plains. Migrants are moving across state lines, resulting in net growth in
Sun Belt states at the expense of traditional northern population centers due to retirees
born in the Baby Boom. This migration trend is expected to continue or intensify as the
boomers reach their mid-sixties (Burmila 838.) The large size of the migrating population
dramatically affects the balance of population among states.
Frost Belt states such as the Upper Midwest, Northeast, and Mid-Atlantic are
predicted to lose representation and electoral votes to the growing Sun Belt states like
Florida, Texas, and Arizona. Sun Belt states are magnets for both domestic and foreign
migration and thus, grow faster than states in other regions. The South is popular as
millions of retirees from the Baby Boom flee the weather of northern states.
By studying components of population change, mathematicians can derive accurate
estimates of population within the next few years based on existing data. Population
projection may reflect trends currently occurring, but it fails to predict future trends, such
as trends due to national disasters (Burmila 838.) It is not possible to predict trends that
will develop in the future accurately. Only predictable trends, such as current migration
due to retiring populations and international immigration, influence the accuracy of these
projections. Burmila argues that, “While perfect accuracy is not possible when making
projections, Census projections based on contemporaneous data and trends have proven
to be reliable over short-time horizons and as predictors of total population for large
geographic units such as states” (Burmila 838.)
Contemporary improvements in data quality and the use of proven methodology
increase the accuracy of current forecasts. Based on these population projections,
Electoral College maps are derived. But creating population projections requires two
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assumptions in order qualify the results (Burmila 838.) The first assumption presumes
that over time, there no major changes in the party system because researchers assume
that the ideological positions of or coalitions making up the major parties will not change.
The second assumption presumes that there are no significant changes in the Electoral
College. For example, researchers presume states that award electoral votes on a winner-
take-all basis to the plurality winner of the popular vote will continue to do so. Luckily
for researchers, most states have unsuccessful referenda when attempting to alter their
Electoral College voting systems.
Utilization of Censuses Rather than Sampling for Apportionment
Sampling changes its results rapidly, exemplified as sampling, rather than a
complete census happened to the networks predictions on election night 2000. Early in
the evening they all gave Florida to Gore based on exit polls (i.e. sampling) and their
mathematical models (By 2014.)A couple hours later, they pulled it back to undecided,
and then they gave it to Bush, then back to undecided.
Yet, congressional members reason against the large population by arguing that
censuses leave the door open for undercounting minority groups. In response, Republican
congressional members fight the democratic plan to use sampling, by arguing that
statistics can be manipulated for political purposes and that every person ought to be
physically counted (By 2014.) Republicans argue further that despite the errors the
Census Bureau made in 1940, where 5.4% of the population was not counted in the
Census, undercounting is diminishing over time. Results show that in 1990, only 1.8% of
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the population was missed and no more than 1.4% of the population was missed in the
2000 Census (By 2014.)
The Federal government fought off the possibility for sampling the population
when the Supreme Court barred the use of sampling to reapportion congressional seats.
House Republicans filed the lawsuit in federal court in 1998 in order to prevent the
Clinton administration from relying on statistical sampling to complete a national head
count for the 2000 census. The suit argued that the plan to use sampling violates the
Constitution, which calls for an "actual enumeration" of the population (Vobejda 2014.)
In the Supreme Court ruling in 1999, Justice Sandra Day O'Connor said the government
might not use "statistical sampling in calculating the population for the purposes of
apportionment." Although, O’Connor acknowledged that the law "required that
sampling” shall be used for other purposes.
Hence, under the current census plan, census takers will go door-to-door across the
nation to count those who have not returned their forms in the mail. This traditional
method is referred to as the head count. A few weeks later, in the summer of 2000, census
takers will conduct an intense recount of selected areas, and the bureau will use these
numbers to adjust their tallies (Savage and Anderson 2014.)
Interest in sampling California has made the census in 2000 the most controversial.
The sample involved directly counting 90% of households in a census tract and using that
information to estimate the remaining 10%. Sampling the population extrapolates
information from a random selection of households to reach a total head count.
Republicans argued that the use of sampling would cause "direct and concrete injuries" to
the interests of the House because the population figures could be manipulated to alter the
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chamber's political composition (Vobejda 2014.)
Furthermore, statistical sampling gives much greater discretion to the Census
Bureau because the “correction procedure” of sampling chooses population subgroups
subjectively. For example, the Bureau either treats young urban black males as a
subgroup or separates them by region. The Bureau also decides how many ethnic groups
we want to treat as distinct. By allowing more statistical sophistication, more discretion is
in the hands of the statistician. By letting statisticians within the Bureau to use their
judgment and use statistical techniques to correct for any data problems that may exist
leaves room for the Census officials to make the decisions that determine which state gets
U.S. representatives (By 2014.)
Moreover, by giving the Census this much discretionary power will allow lobbying
groups to interfere with the Census process. For example, lobbyists can write position
papers on how to "improve" sampling techniques. Every adjustment decision on sampling
violates of a group of citizens’ rights. Therefore, since sampling gives the Census Bureau
political power, the sample eventually ends up favoring a powerful lobbying group (By
2014.)
The Current House Size Flaws the Presidential Election
Prior to 1911, the size of the House was determined after each census in order to
ensure that no state would lose a representative under the new apportionment (Neubauer
and Gartner 78.) This principle was used because as more states joined the Union,
population growth altered the relative size of states; oftentimes, states were likely to lose
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representatives to newly admitted states or states experiencing large increases in
population. Losing representatives disturbed the states and consequently, they wanted the
number of representatives in the House to increase with the population, thus avoiding a
reduction in the size of a state's congressional delegation. All existing states were at least
as large as it had been under the prior apportionment. The House size was not increased
following the 1920 and 1930 censuses because in 1941, Congress passed a bill that
placed the issue of House size on autopilot by formally keeping both the same (Neubauer
and Gartner 78.)
The election of the President of the United States depends both on the House size,
which is currently stuck at 435 representatives, along with the seating of states
represented in the House of Representatives. The Electoral College is utilized to elect the
President because the size of each state's delegation to the Electoral College equals the
size of the state's delegation in the House of Representatives plus two for the state’s
senators. The reasons for this method of apportionment of the Electoral College members
are rooted in the Connecticut Compromise of 1787, but many US citizens believe the
presidential election to be flawed in an argument that can be used against the use of the
Electoral College (Neubauer and Zeitlin 721). For example, when the winner of the 2000
presidential election was elected when the House size was fixed at 435, the winner of the
Electoral College votes did not match the popular vote. Furthermore, curious
mathematicians researched that the runner-up for the presidential election, Gore would
have won the election had House size been set at 500, as it was in 1940 (Neubauer and
Zeitlin 722). Because of the bill passed in 1941, the size of the House has been fixed at
435 representatives and has not been changed since.
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The law about the constant small house size flaws the electoral college
representation by states; Since population in the United States increased, the house size
must increase also in order to accurately represent the states. For example, despite to
unchanging house size, the population in the United States increased from about 131
million people in 1940 to about 290 million people in 2000 (Neubauer and Zeitlin 723).
In 1941, there was approximately one representative for every 301,000 citizens, but in
1990, there was approximately one representative for every 572,000 citizens. If the ratio
of House Representatives to United States citizens existed as it did in 1941, then the
House would have about 830 members based on the 1990 census (Neubauer and Zeitlin
723). Since the 2000 presidential election utilized the 1990 census figures, if the
hypothetical House was apportioned with 830 members, the 2000 presidential election
would result with Gore earning 471 electoral votes versus Bush earning 463 votes
(Neubauer and Zeitlin 724). In summation, small House sizes flaw the representation of
states in the Electoral College, flawing the Presidential election.
The previous example implies that there exists a pattern when examining the
hypothetical Electoral Colleges for small House sizes and large House sizes. For large
House sizes the relative representation of the states in the Electoral College becomes
closer to their relative representation in the House (Neubauer and Zeitlin 724). Since
Gore won the popular vote, a fair vote by the Electoral College suggests he would have
won the election for large House sizes. On the other hand, test results prove that smaller
states have a relatively larger percentage of the members, thus are over-represented in the
Electoral College for small House sizes, which explains why Bush won the election with
small House sizes (Neubauer and Zeitlin 725).
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In addition, the current apportionment of the House of Representatives with a
House size of 435 leads to large inequalities among states. For example, the difference in
2000 between the number of representatives between the largest district size, Montana,
and the smallest district size, Wyoming, was 410,012 (Neubauer and Gartner 78.) Yet by
increasing in the House size, House sizes of 932 or 1,761 diminish inequalities in
representation between states. If in 2000, the House size was 932, and the seats were
apportioned accordingly, the difference in number of representatives for the smallest and
largest districts would decrease to 76,667 (Neubauer and Gartner 78.) Furthermore, a
House size of 1,761 would result in a difference of only 15,850 (Neubauer and Gartner
78.)
Reason to Transform State Representation in the House of Representatives and
Electoral College: Voter Dissatisfaction
Young American citizens find the Electoral College an outdated voting process,
evident by the awarded presidency to George Bush which caused increased public
dissatisfaction with our nation's political process (Mathis 2014.) The Electoral College
has become unpopular since the controversial 2000 election; Included in the bill of
charges against the method are that it amplifies the effect of the imbalanced allocation of
electoral votes, and that it fails to "count" the votes within a state that were cast for a
losing candidate (Festa 2013.) The system is controversial because it is the mechanism
that enhances the possibility of having an electoral vote winner, and hence a president,
who received fewer popular votes than the electoral runner-up (Festa 2013.) This
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reasoning is behind Bush’s win; his win comes from the fact that delegate-rich states give
a candidate the upper hand. Though public vote supported Gore, Bush got the push he
needed from the delegates. Political insiders worry our political system is set to, once
again, “ignore the will of the people” (Mathis 2014.) The public doesn’t believe their vote
matters and furthermore concludes that the way we elect national leaders in this country
is troubling; United States citizens argue that through the Electoral College, their
government leaders have chosen a way to silence majority because “in a true democracy,
the voice of the people is all that matters” (Mathis 2014.)
To examine the consequences of the voter dissatisfaction especially following
presidential election in 2000, Richard J. Cebula experiments with voter dissatisfaction in
his article, "Strong Presidential Approval Or Disapproval Influencing the Expected
Benefits of Voting and the Voter Participation Rate" in the Atlantic Economic Journal.
Cebula uses annual data for the years 1960 to 1997 to study how voter participation rate
positively responds to strong public approval or strong public disapproval of the
incumbent President and how currently, disappointment and concern regarding both low
and declining voter participation rates in the US are expressed frequently in the media
and elsewhere. Poll results in the United States reminds citizens that each election year,
fewer voters show up at the polls in America than in most other democracies (Cebula
2014.) Cebula further observes that voter turnout has declined despite the fact that the
most commonly noted barrier to voting, the burdensome registration requirements, has
been substantially lowered (Cebula 2014.) Thus, since election outcomes can have very
profound implications for societal and government resource allocations, the loss of voter
participation carries a price tag. Citizens argue back that there are no benefits of voting.
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The US voter participation rate be increased by changing the electoral system
which displeases the voters; the reduced voter participation reflects reduced expected
voter satisfaction (Cebula 2014.) Bennett Drake furthers in his article in the Boston
Globe that if voting numbers grew significantly, in response, politicians would respond to
the agendas of the people who elected them (Drake 2014.) In other words, measuring the
reaction of nonvoters to campaigns that are not pitched to them in the first place is of
limited value to those in office. Drake further explains that "satisfaction is correlated with
voting, not nonvoting" and low turnout is worrisome despite who is in office and what
they do because voting is seen as much as a mark of citizenship as a process for choosing
representatives (Drake 2014.) In order to make voters feel like their vote matters, each
states electors must accurately reflect the views of the state. As explained earlier, for the
House of Representatives and Electoral College to accurately represent their states the
United States must use of the Dean method when apportioning, record more frequent
censuses, and increase in the House size following each census in order decreasing voter
dissatisfaction by eliminating bias within the voting system.
Conclusion
The Framers agreed that the United States government would utilize a separation of
powers and three branches of government, but did not agree on how the legislative
branch should be constituted. After much debate, a compromise was struck between the
New Jersey and Virginia plans suggested; the final product mandates that representation
in the House of Representatives shall be based on the states populations. Still, the
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compromise did not specify the exact apportioning method in which the representation
would be achieved. The unspecified method had significant implications on the
Presidential elections also; The number of Electoral votes a state receives is contingent
on the number of members in the House. Several different apportionment methods have
been employed, yet each method has demonstrated bias.
In 1941, Congress established the permanent method of apportionment known as
the Huntington-Hill method. Yet, by examining close elections, evidence portrays how
Huntington-Hill fails to fairly seat the House of Representatives and the Electoral
College. The Presidential Election voter turnout parallels the growing belief that United
States citizens are dissatisfied by the elections. Citizens’ dissatisfaction roots from the
displeasure with the Electoral College System, which in turn parallels the House of
Representatives apportionment method. The House of Representatives and Electoral
College candidates play a role in the presidential election as the House of Representatives
is apportioned in response to the population of each state in the United States; The
Electoral College is thus determined by the seating of the House of Representatives. Yet
voters are dissatisfied because they feel their size of their electors in the Electoral College
accurately represents their states’ vote and representation in the US.
In order to accurately represent each state’s citizens, I suggest a reform movement:
changing the apportionment method for the House of Representatives. This reform would
also change the seating in the Electoral College. I also suggest shortening the interval
between each census and consequently each apportionment, and increasing the size of the
House of Representatives. The size of the House would be determined following an
increase in population at each census. Montana suggested an alternative, Dean Method, to
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replace the Huntington-Hill Method and I argue in this paper, that the Dean
Apportionment method acts an improved replacement method for apportioning the House
of Representatives and the Electoral College.
In addition, the more frequent censuses will maintain the accurate representations
necessary for seating the modern government; Due to an aging United States population,
domestic migration, and the geographically heterogeneous effects of foreign immigration,
the distribution of population shifts frequently, consequently altering the seating in the
House and Electoral College.
Large house sizes will also increase voter satisfaction with the Electoral College
because for large House sizes the relative representation of the states in the Electoral
College becomes closer to their relative representation in the House.
In summation, political results from close elections and controversial United State
Supreme Court cases demonstrate that the Huntington-Hill apportionment method fails to
fairly seat the House of Representatives and the Electoral College. Despite laws
preventing replacement of Huntington-Hill, the Dean method appears an attractive
replacement. Utilization of the Dean method, accompanied by more frequent censuses,
and large house sizes will modifies the federal government positions justly, increasing
American citizen voter turnout and satisfaction.
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