Contact: Bob Nelson Embargoed for release
(212) 854-6580 5 P.M. EST, March 15, 1998
rjn2@columbia.edu
In Close Elections, Small-State Voters Have Most Power,
Columbia Statistician Tells Presidential Candidates
In close presidential elections, voters in small, politically moderate states
such as Vermont and New Mexico are more likely to determine the outcome than
voters in large states such as California, Texas or New York, according to a study
by a Columbia University statistics professor and his colleagues.
Because the electoral college magnifies the influence of smaller states, a
voter in those states has a higher probability of affecting the outcome of
presidential races. But the state must be politically balanced, the study's authors
said, because when vote tallies are close in politically extreme states, like Utah or
Minnesota, national elections are unlikely to be cliffhangers.
"The states that are more extreme are where your vote is less likely to make
a difference, because it's unlikely a national election would split such an
electorate very closely," said Andrew Gelman, associate professor of statistics.
"Any presidential vote that split Utah would probably be a Democratic landslide on
the national scale, in which case the votes of Utah would be irrelevant anyway."
Even in a small, politically moderate state such as Vermont, the research
shows that the probability that a single vote will be decisive in a close national
election is less than one in a million. This is not trivial, however, since if a
presidential candidate can convince 10,000 voters in the state to switch their votes
to him, he will increase his probability of winning the election by one percent.
In addition to Professor Gelman, the authors of the new work are Gary
King, professor of government at Harvard, and W. John Boscardin, a postdoctoral
researcher at the University of California, Los Angeles, and a former student of
Professor Gelman's. The study appears in the March issue of the Journal of the
American Statistical Association.
The research shows that statistical analysis can be applied to situations
that have never occurred and are extremely unlikely; for example, when one vote
changes the outcome of a presidential election. The approach is also useful for
estimating unlikely events that have happened, such as a shuttle explosion, or
unlikely events that may yet occur, such as a large asteroid collision with Earth.
A commonly-used, but flawed, method to estimate probabilities is to
multiply together the estimated probability of each event in a series, even though
each step might not be independent of the others. Another approach, which is
strictly empirical, bases the probability of a future event - such as a shuttle
launch failing - on the past frequency of the event. But that won't work if the
event has never happened.
The authors of the current study adapted aspects of both approaches for
their study: they break each event into steps, or precursors, of the event being
studied, but try to find empirical evidence that allows them to calculate the
probability of each step taking place.
In the election example, for a single vote to decide the presidency, the vote
in one state must be tied or within one vote, since the result could be changed
either by a voter switching parties or by a nonvoter deciding to vote. Then, that
state must be needed in an electoral college coalition to decide the election. By
multiplying these probabilities, the authors determined that the chance that one
vote will determine the presidency in a close election is in the range of about one
in 10 million to one in 20 million, depending on the closeness of the election and
the size of the state in which the voter resides.
The finding shouldn't deter people in large states, or anywhere, from voting
in national elections, Professor Gelman said. No state has gone for the same
party in every postwar presidential election, so there is still considerable volatility
in the electoral college, he said.
This document is available at http://www.columbia.edu/cu/pr/. Working press may receive
science and technology press releases via e-mail by sending a message to rjn2@columbia.edu.
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