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EspañolCHERRY PICKING
:''Cherry picking may also refer to the process of collecting erroneous coins.''
:''A cherry picker is a device for raising a person to allow working at a height.''
In the literal case of harvesting cherries, or any other fruit, 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.
Thus, 'cherry picking' is used metaphorically to indicate the act of pointing at 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.
For example, opponents of safety belts often cite cases in which car accident victims were strangled, injured or trapped by a safety belt. However, these rare instances of seat belt injury overlooks the vast number of cases which suggest that safety belts, when used properly, are far more likely to save passengers' lives or to reduce injuries than to injure passengers.
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, while a false dichotomy picks only two options when more are available.
When a person is assigned to advocate a particular position, then cherry picking might be seen as entirely appropriate. Defense lawyers and prosecutors on both sides of a criminal case are one such example: each side tries to emphasise evidence that supports their position, while minimising the impact of contrary evidence. It is often assumed to be the responsibility of the opposing counsel to present any contrary data.
Additionally, in common law, guilt has to be proven beyond reasonable doubt and thus introducing 'cherry picked' evidence is regarded as entirely appropriate, because, while such data may not prove something in general, it may be successful in introducing the needed minimum level of doubt to win the case.
However, when a person with a supposedly neutral position cherry picks, that is commonly regarded as inappropriate. Examples would be journalists, scientists, and judges.
'Cherry picking' is also used to refer to business policies of picking out profitable customers from a large base. An example of this use is that by only insuring healthy people and refusing to insure those who were unhealthy or are likely to become unhealthy, a health insurance company can ''cherry pick'' the most profitable customers. If an auto insurance company only insured good drivers by 'cherry picking' them from among all drivers this would enable a company to gain an advantage over a company that insures all drivers.
To prevent auto insurance companies from ''cherry picking'' only the good drivers and leaving poorer drivers without any insurance, most states in the U.S.A. require auto insurance companies to insure a certain number of drivers with poor records.
In SCM jargon, 'cherry picking' is used to describe the action of selecting which patches (or changesets, or commits) should be ported from one branch to another.
Cherry picking in sports is the tactic of waiting close to the opponent's goal in hope of receiving the object in play (ball, puck etc) and redirecting it towards the goal. The tactic can degrade the quality of game play, so to prevent or discourage the practice, several team sports have an off-side rule. Ice hockey, for example, requires that a player not enter the offensive zone before the puck. (See Loafing (ice hockey))
Main articles: Cherry picking tax avoidance
In the 1970s and early 1980s in Australia, cherry picking was a tax avoidance scheme based on tax deductions for company contributions to a superannuation fund. Such a fund was notionally for the benefit of employees, but the benefits (the "cherries") were picked by the company or its owners.
★ Biased sample
★ Contextomy
★ Hasty generalization
★ Informal fallacy
★ Quote mining
:''A cherry picker is a device for raising a person to allow working at a height.''
| Contents |
| Metaphorical use |
| When is cherry picking appropriate? |
| In specific fields |
| Business |
| Software configuration management |
| Sports |
| Australian taxation |
| See also |
| References |
Metaphorical use
In the literal case of harvesting cherries, or any other fruit, 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.
Thus, 'cherry picking' is used metaphorically to indicate the act of pointing at 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.
For example, opponents of safety belts often cite cases in which car accident victims were strangled, injured or trapped by a safety belt. However, these rare instances of seat belt injury overlooks the vast number of cases which suggest that safety belts, when used properly, are far more likely to save passengers' lives or to reduce injuries than to injure passengers.
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, while a false dichotomy picks only two options when more are available.
When is cherry picking appropriate?
When a person is assigned to advocate a particular position, then cherry picking might be seen as entirely appropriate. Defense lawyers and prosecutors on both sides of a criminal case are one such example: each side tries to emphasise evidence that supports their position, while minimising the impact of contrary evidence. It is often assumed to be the responsibility of the opposing counsel to present any contrary data.
Additionally, in common law, guilt has to be proven beyond reasonable doubt and thus introducing 'cherry picked' evidence is regarded as entirely appropriate, because, while such data may not prove something in general, it may be successful in introducing the needed minimum level of doubt to win the case.
However, when a person with a supposedly neutral position cherry picks, that is commonly regarded as inappropriate. Examples would be journalists, scientists, and judges.
In specific fields
Business
'Cherry picking' is also used to refer to business policies of picking out profitable customers from a large base. An example of this use is that by only insuring healthy people and refusing to insure those who were unhealthy or are likely to become unhealthy, a health insurance company can ''cherry pick'' the most profitable customers. If an auto insurance company only insured good drivers by 'cherry picking' them from among all drivers this would enable a company to gain an advantage over a company that insures all drivers.
To prevent auto insurance companies from ''cherry picking'' only the good drivers and leaving poorer drivers without any insurance, most states in the U.S.A. require auto insurance companies to insure a certain number of drivers with poor records.
Software configuration management
In SCM jargon, 'cherry picking' is used to describe the action of selecting which patches (or changesets, or commits) should be ported from one branch to another.
Sports
Cherry picking in sports is the tactic of waiting close to the opponent's goal in hope of receiving the object in play (ball, puck etc) and redirecting it towards the goal. The tactic can degrade the quality of game play, so to prevent or discourage the practice, several team sports have an off-side rule. Ice hockey, for example, requires that a player not enter the offensive zone before the puck. (See Loafing (ice hockey))
Australian taxation
Main articles: Cherry picking tax avoidance
In the 1970s and early 1980s in Australia, cherry picking was a tax avoidance scheme based on tax deductions for company contributions to a superannuation fund. Such a fund was notionally for the benefit of employees, but the benefits (the "cherries") were picked by the company or its owners.
See also
★ Biased sample
★ Contextomy
★ Hasty generalization
★ Informal fallacy
★ Quote mining
References
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