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Confirmation Bias: A Ubiquitous Phenomenon in Many Guises

Confirmation Bias: A Ubiquitous Phenomenon in Many Guises

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188 RAYMOND S. NICKERSON<br />

notes. As the participants made their choices,<br />

they were given feedback accord<strong>in</strong>g to a<br />

predeterm<strong>in</strong>ed schedule that was <strong>in</strong>dependent of<br />

the choices they made, but that <strong>in</strong>sured that the<br />

feedback some participants received <strong>in</strong>dicated<br />

that they performed far above average on the<br />

task while that which others received <strong>in</strong>dicated<br />

that they performed far below average.<br />

Follow<strong>in</strong>g completion of Ross et al.'s (1975)<br />

task, researchers <strong>in</strong>formed participants of the<br />

arbitrary nature of the feedback and told them<br />

that their rate of "success" or "failure" was<br />

predeterm<strong>in</strong>ed and <strong>in</strong>dependent of their choices.<br />

When the participants were later asked to rate<br />

their ability to make such judgments, those who<br />

had received much positive feedback on the<br />

experimental task rated themselves higher than<br />

did those who had received negative feedback,<br />

despite be<strong>in</strong>g told that they had been given<br />

arbitrary <strong>in</strong>formation. A follow-up experiment<br />

found similar perseverance for people who<br />

observed others perform<strong>in</strong>g this task (but did not<br />

perform it themselves) and also observed the<br />

debrief<strong>in</strong>g session.<br />

Nisbett and Ross (1980) po<strong>in</strong>ted out how a<br />

confirmation bias could contribute to the perseverance<br />

of unfounded beliefs of the k<strong>in</strong>d<br />

<strong>in</strong>volved <strong>in</strong> experiments like this. Receiv<strong>in</strong>g<br />

feedback that supports the assumption that one<br />

is particularly good or particularly poor at a task<br />

may prompt one to search for additional<br />

<strong>in</strong>formation to confirm that assumption. To the<br />

extent that such a search is successful, the belief<br />

that persists may rest not exclusively on the<br />

fraudulent feedback but also on other evidence<br />

that one has been able to f<strong>in</strong>d (selectively) <strong>in</strong><br />

support of it.<br />

It is natural to associate the confirmation bias<br />

with the perseverance of false beliefs, but <strong>in</strong> fact<br />

the operation of the bias may be <strong>in</strong>dependent of<br />

the truth or falsity of the belief <strong>in</strong>volved. Not<br />

only can it contribute to the perseverance of<br />

unfounded beliefs, but it can help make beliefs<br />

for which there is legitimate evidence stronger<br />

than the evidence warrants. Probably few beliefs<br />

of the type that matter to people are totally<br />

unfounded <strong>in</strong> the sense that there is no<br />

legitimate evidence that can be marshalled for<br />

them. On the other hand, the data regard<strong>in</strong>g<br />

confirmation bias, <strong>in</strong> the aggregate, suggest that<br />

many beliefs may be held with a strength or<br />

degree of certa<strong>in</strong>ty that exceeds what the<br />

evidence justifies.<br />

Own-Judgment Evaluation<br />

<strong>Many</strong> researchers have done experiments <strong>in</strong><br />

which people have been asked to express their<br />

degree of confidence <strong>in</strong> judgments that they<br />

have made. When participants have expressed<br />

confidence as probability estimates or as rat<strong>in</strong>gs<br />

that, with some plausible assumptions, can be<br />

transformed <strong>in</strong>to probability estimates, it has<br />

been possible to compare confidence with<br />

performance on the primary task. Thus researchers<br />

can determ<strong>in</strong>e for each confidence judgment<br />

the percentage of the correct items on the<br />

primary task to which that judgment was<br />

assigned. Plots of actual percent correct aga<strong>in</strong>st<br />

percent correct "predicted" by the confidence<br />

judgments are often referred to as calibration<br />

curves; perfect calibration is represented by the<br />

unit l<strong>in</strong>e, which <strong>in</strong>dicates that for a given<br />

confidence level, X, the proportion of all the<br />

judgments with that level that were correct was X.<br />

In general, people tend to express a higher<br />

degree of confidence than is justified by the<br />

accuracy of their performance on the primary<br />

task, which is to say that calibration studies have<br />

typically shown overconfidence to be more<br />

common than underconfidence (E<strong>in</strong>horn &<br />

Hogarth, 1978; Fischhoff, 1982; Lichtenste<strong>in</strong> &<br />

Fischhoff, 1977; Lichtenste<strong>in</strong>, Fischhoff, &<br />

Phillips, 1977; Pitz, 1974; Slovic, Fischhoff, &<br />

Lichtenste<strong>in</strong>, 1977). Kahneman and Tversky<br />

(1973) refer to the confidence that people feel<br />

for highly fallible performance as the illusion of<br />

validity. Be<strong>in</strong>g forced to evaluate one's views,<br />

especially when that <strong>in</strong>cludes provid<strong>in</strong>g reasons<br />

aga<strong>in</strong>st one's position, has reduced overconfidence<br />

<strong>in</strong> some <strong>in</strong>stances (Fischhoff, 1977; Hoch,<br />

1984, 1985; Koriat, Lichtenste<strong>in</strong>, & Fischhoff,<br />

1980; Tetlock & Kim, 1987). But generally<br />

overconfidence has only been reduced, not<br />

elim<strong>in</strong>ated, and provid<strong>in</strong>g reasons aga<strong>in</strong>st one's<br />

position is not someth<strong>in</strong>g that most people do<br />

spontaneously.<br />

One explanation of overconfidence starts with<br />

the assumption that people tend to be good<br />

judges of their knowledge as it relates to<br />

situations they are likely to encounter <strong>in</strong><br />

everyday life. This explanation of overconfidence<br />

also notes that a m<strong>in</strong>imum requirement<br />

for observ<strong>in</strong>g good calibration <strong>in</strong> experimental<br />

situations is that the questions people are to<br />

answer and that one to be used to judge the<br />

probability of the correctness of their answers

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