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Systemic bias is the inherent tendency of a process to favor particular outcomes. The term is a neologism that generally refers to human systems; the analogous problem in non-human systems (such as measurement instruments or mathematical models used to estimate physical quantities) and leads to systemic error in measurements or estimates. It is often erroneously called systematic bias 'systematic' means 'methodical, not an inherent tencency.

Contents 1 Bias in human institutions 2 Examples 3 Systemic versus systematic bias 4 See also 5 References 6 Further reading

[edit] Bias in human institutions

One might refer, for example, to the systemic, or institutional bias of a particular institution in devaluing contributions by women, men or ethnic minorities. For example, a poetry competition that was consistently won by white women could be subject to suspicion of a bias if there were no inherent reason that white women would consistently be the best poets. Such a bias could be deliberate on the part of the judges or entirely unconscious. Such a bias is embedded within and spread throughout the institution. For example, the poetry contest might be judged by a pool drawn from its own previous winners, reasoning that prize-winning poets are the best to judge a poetry contest. However, it might be that in addition to choosing for poetic skill, they are also inclined to choose people with whom they have values in common, either about poetry or about other matters, resulting in a continuous stream of prizewinning white female poets. In this case, the bias could arise from either conscious or unconscious defense of gender and racial interests or simply from their shared point of view. In either case, it results in a biased representation of the reality they are describing in terms of quality of poets and poetry.

Because cognitive bias is inherent in the experiences, loyalties, and relationships of people in their daily lives, it cannot be eliminated by education or training, but awareness of biases can be enhanced, allowing for the adoption of compensating correction mechanisms. For example, the theory behind affirmative action in the United States is precisely to counter biases in matters of gender, race, and ethnicity, by opening up institutional participation to people with a wider range of backgrounds, and hence presumably a wider range of points of view. In India the system of scheduled castes and tribes was intended to address systemic bias within the caste system. Similar to affirmative action, it mandates the hiring of persons within certain designated groups. However, in both instances (as well as numerous others), many people claim^{[citation needed]} that a reverse systemic bias now exists.

[edit] Examples

Financial Week reported May 5, 2008 (emphasis added):

But we travel in a world with a systemic bias to optimism that typically chooses to avoid the topic of the impending bursting of investment bubbles. Collectively, this is done for career or business reasons. As discussed many times in the investment business, pessimism or realism in the face of probable trouble is just plain bad for business and bad for careers. What I am only slowly realizing, though, is how similar the career risk appears to be for the Fed. It doesn’t want to move against bubbles because Congress and business do not like it and show their dislike in unmistakable terms. Even Federal reserve chairmen get bullied and have their faces slapped if they stick to their guns, which will, not surprisingly, be rare since everyone values his career or does not want to be replaced à la Mr. Volcker. So, be as optimistic as possible, be nice to everyone, bail everyone out and hope for the best. If all goes well, after all, you will have a lot of grateful bailees who will happily hire you for $300,000 a pop.^[1]

[edit] Systemic versus systematic bias

There is some contention over the choice of the word systemic as opposed to systematic.

"Systemic bias" and the more common expression "systematic bias" are often used to refer to the same thing; some users seek to draw a distinction between them, suggesting that systemic bias is most frequently associated with human systems, which is incorrect. Systemic means: embedded within and spread throughout, system-wide, affecting a group or system such as a body, economy, market or society as a whole. It shoud not be confused with 'systematic' which means 'methodical'.

In engineering and computational mechanics, the word bias is sometimes used as a synonym of systematic error. In this case, the bias is referred to the result of a measurement or computation, rather than to the measurement instrument or computational method. A sustematic bias is an error that is the result of a problem with the method pr proceduce used. Thus, expressions such as "bias of a measure" are sometimes used. Systematic bias is rarely used and systemic bias is never used with that meaning.

Some authors try to draw a distinction between systemic and systematic corresponding to that between unplanned and planned, or to that between arising from the characteristics of a system and from an individual flaw. In a less formal sense, systemic biases are sometimes said to arise from the nature of the interworkings of the system, whereas systematic biases stem from a concerted, methodical effort to favor certain outcomes. Consider the difference between affirmative action (systematic) compared to racism and caste (systemic).

[edit] See also

• Bigotry
• Cognitive bias
• Cultural Health
• Discrimination
• Ethnocentrism
• Inherent bias
• Institutional racism
• Paradigm shift
• Prejudice

[edit] References

[edit] Further reading

• "Commerce Dept. Accused Of Systemic Bias". By John Files. October 6, 2005. New York Times.
• "Clinton Postpones Inmate's Execution. Systemic Bias To Be Studied". By Deb Riechmann, Associated Press. December 8, 2000. Miami Herald.

v • d • e Biases Cognitive bias Confirmation bias · Correspondence bias · Hindsight bias  · Memory bias · Outcome bias Statistical bias Systematic bias · Systemic bias · Bias of an estimator · Omitted-variable bias · Lead time bias · Selection bias · Biased sample · Recall bias · Information bias Other/ungrouped FUTON bias/No abstract available bias