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The Quick Count and Election Observation

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THE QUICK COUNT AND ELECTION OBSERVATION<br />

60%<br />

50%<br />

Party B<br />

FIGURE 7-4:<br />

STABILIZATION OF VOTES REPORTED<br />

IN SAMPLE<br />

117<br />

Votes Reported in Sample<br />

40%<br />

30%<br />

20%<br />

10%<br />

Party A<br />

0%<br />

T1<br />

T2 T3 T4 T5<br />

T6 T7 T8 T9<br />

# of Takes<br />

Projecting the <strong>Election</strong> Result<br />

On election day, domestic observation organizations come under intense pressure<br />

to “call the election,” to release quick count results on the vote projection<br />

as early as possible. It is sometimes argued that such an early projection is<br />

important because it will help to contribute to political stability. <strong>The</strong>se pressures<br />

may come from the media who are anxious to break the news <strong>and</strong> to<br />

meet their deadlines. Pressure may come from organizations that fund the<br />

observation effort <strong>and</strong> which feel entitled to get the very earliest results first.<br />

Pressure may also come from within the ranks of the election observation<br />

group, perhaps from those who want to see the group be the first to release<br />

results or from those who worry that to release the data late will make the<br />

observation efforts irrelevant. Typically, pressure to release projections of electoral<br />

results as soon as possible comes from all of these sources.<br />

<strong>The</strong> analyst’s priority, however, must be a commitment to ensure that any data<br />

that are released are only released after it has been clearly established that the<br />

data are accurate <strong>and</strong> reliable. In fact, it is clearly a very serious mistake to<br />

release data that have not been thoroughly checked. <strong>The</strong> consequences of<br />

releasing unreliable, or worse yet incorrect, data can be disastrous. <strong>The</strong> release<br />

of very early, or preliminary data, can be both misleading <strong>and</strong> counterproductive,<br />

<strong>and</strong> the effect may be to undermine the legitimacy of the quick count<br />

<strong>and</strong> the entire observation effort. <strong>The</strong>re are very strong reasons, then, to exercise<br />

caution. All of the results should be re-checked even after the data have<br />

apparently reached the point of stability.<br />

<strong>The</strong> analyst’s priority<br />

must be a commitment<br />

to ensure that any data<br />

that are released are<br />

only released after it<br />

has been clearly established<br />

that the data are<br />

accurate <strong>and</strong> reliable.<br />

<strong>The</strong> following checks on the data are now st<strong>and</strong>ard, <strong>and</strong> they help to increase<br />

confidence in the election observation findings:<br />

• Voter turnout rate—Recall from Chapter Five that the efficacy of the sample<br />

depends partly on assumptions about levels of voter turnout. Previous<br />

elections provide a record of what the typical voter turnout rates for the

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