User:Tim Isaksson/sandbox
Unwanted variability in similar judgments / From Wikipedia, the free encyclopedia
The draft reads too much like an essay. The text has to be converted into prose format rather than bullet points, and avoid naming sections with over-extended descriptions, like "What noise is and its relationship to bias."
This submission reads more like an essay than an encyclopedia article. Submissions should summarise information in secondary, reliable sources and not contain opinions or original research. Please write about the topic from a neutral point of view in an encyclopedic manner."
The function of a reviewer is to predict whether the article will pass AfD. I doubt that the article on the theory will. It might be useful if rewritten as a general article on human error, not highlighting his theoretical approach.I am of course aware of Daniel Kahneman as a very famous economist, but that would not justify a separate article unless there were multiple other significant works discussing specifically this particular approach."
Noise in human judgment is "undesirable variability in judgments of the same problem".[1]: 37–38 It is a concept associated with fields such as psychology, judgment, decision-making science, behavioral science and statistics. Noise can lead to unfairness and to other problematic treatment of people in domains such as court cases, forensics, medicine, staff recruitment, performance evaluation and business strategy.[2]
There are several different techniques and procedures that can reduce noise, such as debiasing, use of algorithms/rules, use of guidelines, use of relative scales, use of base rates, aggregation of judgments and structured and carefully sequenced decision-making processes.[1] One common critique against certain types of noise reduction is that such efforts dehumanize people by taking away judges' agency.[3] Another common critique against certain types of noise reduction is that noise reduction techniques can in themselves increase or entrench discrimination and other types of bias against certain groups, such as racial bias.[4][5]