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Cherry picking, suppressing evidence, or the fallacy of incomplete evidence is the act of pointing to individual cases or data that seem to confirm a particular position, while ignoring a significant portion of related cases or data that may contradict that position. It is a kind of fallacy of selective attention, the most common example of which is the confirmation bias. Cherry picking may be committed unintentionally.
The term is based on the perceived process of harvesting fruit, such as cherries. The picker would be expected to only select the ripest and healthiest fruits. An observer who only sees the selected fruit may thus wrongly conclude that most, or even all, of the fruit is in such good condition.
Cherry picking can be found in many logical fallacies. For example, the "fallacy of anecdotal evidence" tends to overlook large amounts of data in favor of that known personally, "selective use of evidence" rejects material unfavorable to an argument, while a false dichotomy picks only two options when more are available.
In statistics[edit | edit source]
In science[edit | edit source]
Choosing to make selective choices among competing evidence, so as to emphasize those results that support a given position, while ignoring or dismissing any findings that do not support it, is a practice known as "cherry picking" and is a hallmark of poor science or pseudo-science.
Good science looks at all the evidence (rather than cherry picking only favorable evidence), controls for variables so we can identify what is actually working, uses blinded observations so as to minimize the effects of bias, and uses internally consistent logic."[attribution needed]
See also[edit | edit source]
- Biased sample
- Confirmation bias
- Proof by example
- Fallacy of quoting out of context
- Hasty generalization
- Informal fallacy
- Selection bias
References[edit | edit source]
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