Charting Electoral Fraud:
Turnout Distribution Analysis as a Tool for Election Assessment
Summary:
An
above-average voter turnout in a given precinct is often a signal of
electoral fraud. Local oligarchs have a selfish interest in delivering the
maximum number of votes for the winning candidate or party in electoral
districts they control. Vote-buying, intimidation, and ballot box stuffing
raise reported voter turnout as well as the number of votes for the
winning candidate, but only in the precincts in which they occur. Most
precincts are honest, even in a fraudulent election. It is worth the
trouble to compile the turnout and vote count from every precinct into a
single spreadsheet. By aggregating precinct-level election results by
voter turnout, one can generate a graph of how far voter behavior diverges
from the bell-curve distribution of an honest election. This graph gives
policy-makers a useful tool for judging whether a given election was free
and fair.
Methodology
The 1998 Armenian
presidential elections were the starting point for this research.
As an OSCE election observer, I witnessed substantial election
fraud (ballot-box stuffing, carousel voting) in some precincts and
impeccably honest and transparent procedures in others.
There was an obvious correlation between observed election
misconduct and precincts that reported extremely high
voter turnout and massive support for the winning candidate. What
was less obvious was the extent to which such misconduct distorted the
overall election results. This
paper is product of my efforts to find a reasonably quick and vivid way to
permit policy-makers to evaluate the quality of elections.
Voter turnout in a free
election tends to be relatively consistent from precinct to precinct, with
the discrepancies explainable by urban-rural or other obvious differences.
Given detailed election data (results from each of several hundred precincts and several hundred thousand voters), in
an honest, uncoerced election, one would expect a fairly symmetrical bell
curve of vote distribution. Most votes would be cast in voting
precincts where voter turnout clustered around the overall turnout percentage
reported for the election as a whole.
Using precinct voting
data from the 2000 U.S. presidential elections in Minnesota and Florida, I
graphed the number of votes cast for each candidate against the turnout,
grouping precincts in two-percent bands (e.g., summing the votes of all
precincts reporting voter turnout between 49 and 51 %).[For
details of the method see Note 1]
Figure 1 gives the
outcome of my turnout distribution analysis for the 4000 precincts
in Minnesota. Total turnout was 2.45 million voters,
75.2% of registered (including late-registering) voters.
Figure 1

As one would expect in
Minnesota, a state with a strong rule-of-law culture, the results were a
clean distribution curve with a maximum at 76%, consistent with the
official 75.2 % overall voter turnout.
Results for Bush and Gore tracked closely, albeit with a shift to
favor Bush as turnout increased. As
an additional test, I
graphed on a secondary y-axis (right side scale) the difference in vote
percent between Gore and Bush at each level of voter turnout.
In Florida (Figure 2) the
results were similar. With
some 5900 precincts included, and 5.8 million voters, the bell curve was
relatively smooth. The voting
peak, at 70% turnout, was slightly higher than the calculated overall
turnout of 66.7%. Deducing the
cause of the sharp uptick in the distribution curve for Bush voters is
beyond the scope of this paper.
Figure 2

The
Armenian Presidential Elections
If Minnesota and presumably Florida show the predictable pattern for an honest election, Figure 3
shows a very different curve, the results of the highly controversial 1996
Armenian presidential elections in which incumbent Levon Ter-Petrosian
defeated opposition candidate Vazgen Manukian by a reported 51.9% to
41.1%.
Figure 3
The result of graphing 1218
precincts or multiple-precinct communities and 1.25 million valid votes by
turnout (grouped in 2.5% bands) was a curve that diverged dramatically
from a normal distribution. The
peak of the distribution curve was at 52.5 %, well below the official
turnout of 58.8%. There were
numerous spikes. Voting
behavior at the peak of the distribution curve showed a consistent, clear
advantage to opposition challenger Manukian.
Only in the areas of elevated turnout did the pattern shift, with a
strong correlation between increased turnout and increased margin of
victory for the incumbent.
There are possible
explanations for substantial differences in voting behavior and turnout.
Segregating Armenian results by urban/rural and small/large
precinct, however, showed no significant difference in voter behavior.
Nor could the urban/rural distinction explain the massive
oversupply of votes at unusually high turnouts.
Given the huge percentage of the Armenian population that had
migrated to Russia or elsewhere for economic reasons, and the primitive state of most voter
registries, turnouts much beyond 70% would have been physically impossible
in most areas of the country.
Election night 1996 was
marked by a mysterious interruption in the counting process, and thousands
of citizens later took to the streets to protest suspected fraud.
The official curiosity of OSCE observers focused on a missing
22,000 ballot coupons in Yerevan. These
coupons were an additional security measure, and their number was of
interest because the discrepancy they signaled was just enough to put
Ter-Petrosian over the 50% threshold for a first-round victory.
It was assumed, however, that Ter-Petrosian had in any case a wide
lead. The question of the
coupons was dropped.
After Ter-Petrosian's ouster
in 1998, various Armenian personalities felt freer to disclose their
discomfort in having played unethical roles in his reelection.
It became clear, in retrospect, that there were two phases to the
election fraud. The first had
been widespread fraud in many precincts on election day.
This had been enough to give Ter-Petrosian a sizeable lead over
Manukian, but not enough to cross the 50% threshold.
Late at night, as the shortfall became apparent, senior officials
in Yerevan scrambled to produce extra votes.
In their haste to correct the results, they failed to cope with the
accounting problem of 22,000 more ballots than coupons.
The 1998 Armenian elections,
however, were in significantly less clear.
Figure 4 shows the distribution of votes in the first round, in
which Robert Kocharian, the de facto incumbent, won a plurality against
multiple rivals, though his main opposition rival, Karen Demirchian,
enjoyed a small but consistent lead in lower turnout bands.
Figure 4
Table One
That
the election was problematic is underscored by Table One, which shows a
major increase in voter turnout in 1998 compared to the 1996 presidential
elections. This was followed
by an even more striking increase in turnout –109,000 additional voters
-- from the first round to the second round run-off with Karen Demirchian.
Election observers detected no increase or if anything a slight
decrease in voter numbers from two weeks before.
The turnout distribution chart shows a large discrepancy between
officially reported turnout of 68% and the peak of the turnout
distribution curve at 57.5%. Study
of Figure 5 (note shift of x-axis direction from previous graphs) shows
that the credibility of Kocharian's crushing victory over Demirchian in
the run-off was undermined by the near-draw at the peak of the
distribution curve.
Figure 5
The final chart, Figure 6,
shows the utility of consolidating first and second round precinct voting
data in a single spreadsheet. Doing
so gives the analyst a powerful tool for statistical analysis, by
comparing precinct-by-precinct changes in voter turnout.
Figure 6 aggregates precincts based on the number of additional
voters they reported in the second round.
Statistically speaking, every new voter (a vote cast in the
second-round but not the first) was an additional vote for Kocharian.
In the polling stations in which turnout officially decreased (in
effect the precincts that conducted the vote honestly), Kocharian and
Demirchian ran a statistical dead heat.
On a secondary axis, with the green dotted line, is plotted the
absolute number of precincts reporting a given change in voter turnout,
with the maximum at zero change in number of voters.
Figure 6
The Fraud Problem
The Kocharian government
would have preferred a narrow but plausible victory to a landslide.[3]
Most Armenian electoral precincts had at least one committed
opposition member in the electoral commission.
Thus, a plurality of precincts had reasonably fair balloting and
accurate counting and reporting, and a further large group of precincts
had only minor irregularities -- typically the use of state and parastatal
mechanisms to assure that a maximum number of voters arrived at the polls
fortified with the promise of cash or other benefits.
Local officials and
clan/tribal/economic leaders, however, have a tradition of justifying
their privileged local status by delivering as close as possible to 100 %
of the possible votes for the expected winner.
Such a high turnout cannot legitimately be achieved in Armenia,
where electoral registers still list hundreds of thousands of Armenians
who emigrated and did not vote. Aggressive
fraud, such as large-scale ballot box stuffing, miscounting or
invalidation of opposition ballots, or falsified protocols, requires
active complicity from election commissions.
In the 1998 Armenian elections, observers found enough ballot boxes
containing stacks of identically marked ballots to document the common
practice of spending the final minutes of election day forging the
signatures of absent voters and casting ballots on their behalf.[4]
Conclusion
Turnout distribution
analysis offers a useful snapshot of the extent to which outside forces
have intervened, legally or not, to distort the normal distribution curve
of voter behavior. In the
Armenian case, the graphical picture coincides with a reasonably sober
assessment of what took place on the ground.
Tested on additional elections and improved by more sophisticated
statistical methods, it is a useful complement to the tools already
available to election observers to shape the political response of the
international community to a fraudulent election.
Access to
precinct-level election data is usable
electronic form should be a basic minimum demand of any international
organization or citizen watchdog group anywhere in the world.
The file should include, at a minimum, region, municipality,
and polling precinct identifiers, number of registered voters, number
of valid ballots, number of spoiled/invalid ballots, and number of
votes for each candidate. Since
election-to-election comparison is a powerful tool for detecting vote
fraud, the same precinct names and boundaries should apply from one
election to the next, to the extent possible.
Footnotes

[1]
Data from the Federal Elections Project web site of the American University
School of Public Affairs, http://spa.american.edu/ccps/pages.php?ID=12
David Lublin and D. Stephen Voss. 2001. "Federal Elections
Project." American University, Washington, DC and the
University of Kentucky, Lexington.
After assembling a single, unified spreadsheet of all precinct
results, I created a column for voter turnout percent (votes
cast/registered voters). Sorting each column in turn highlighted at
top and bottom the non-negligible number of precincts for which some
error has been made in recording the results. A
few dozen precincts with null data or turnouts of less than 20% or
more than 100% were excluded on grounds of probable recording error.
Using the MROUND function (from the Excel add-in Analysis Tool-Pak), I
rounded each precinct's turnout percentage to a multiple of 2%. Using
the Data:Subtotal menu, I aggregated the data by rounded turnout,
summing the columns for registered voters, total votes, and votes for
each candidate. I then charted on a line graph the subtotaled
number of votes cast for each candidate in each 2% turnout
band.
[2]
The International Foundation for Electoral Systems (IFES), a
U.S.-funded NGO, had wisely insisted as a condition for assistance
that the Armenian Central Election Commission make available to the
public and the international community almost immediately after the
elections Microsoft Excel spreadsheet files giving the detailed
precinct-by-precinct results of the elections for the whole country.
The 1998 Armenian election CEC spreadsheet contained dozens of errors,
either missing data or obvious transpositions from column to column.
Obvious transpositions were corrected, and uncorrectable
precincts purged to generate the charts.
[3]
A Kocharian advisor told the author in a private conversation that
Kocharian's election team had been aiming for 55% of the vote, a clear
victory but by a credible margin.
[4]
ODIHR 1998 Armenia report, p. 12-13.
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