International Statistical Institute, 53rd Session 2001: Douglas Lonnstrom
With the worldwide proliferation of political polling, especially in the United States, the mass
media has coined the term ‘statistical dead heat’. The intended meaning is to call the race a tie if the
two candidates have percentages that fall within the sampling error. For example, if we have a sample
size of 600 the sampling error is +/- 4 percentage points. Therefore, if candidate A has 45% of the vote
and candidate B has 41%, the media is calling it even. I say this is not so. In fact, it is my contention
the media makes four errors when they use the term ‘statistical dead heat’. There certainly can be a tie
if each candidate has the same percentage, i.e. 45% to 45%. In any other case the candidate with the
higher vote is more likely to be ahead, even if the difference is only one percentage point.
ERROR 1 – Let’s start with the extreme case: A has 45% and B 41%, this is within the sampling
error margin for a sample of 600. Using the recognized statistical calculation called ‘power of the test’
(Berenson, 1996), the probability that B is tied with or ahead of A is 2%. Hence, there is a 98%
probability A is in the lead. Now, test the least extreme situation. Even though A is ahead 45% to 41%
assume the tie occurs at 43%. The ‘power of the test’ still shows A is the likely winner, although the
probability drops to 84%. A third scenario would be to have the poll show only a one point spread,
45% to 44%. Even then the ‘power of the test’ produces a probability of 69% that A is the leader. In
short, you would rather be ahead in the poll, no matter the margin, then behind.
ERROR 2 –...