Profiling examples abound. Just knowing that iodine person is 69 allows superstar to predict that hes a better basketball player than a 49 person. That might be called height profiling. While height is non a perfect indicator of basketball proficiency in that location is a strong association. Similarly, just by knowing the stir or age of an individual allows one to make predictions roughly unobserved characteristics such as weight lifting ability, running and inborn reflex speed, and eyesight and hearing acuity because they are correlated with sex and age.
What about using race or ethnicity as proxies for somewhat unobserved characteristic? Some racial and ethnic groups flummox a higher incidence of mortality from various diseases than the bailiwick average. In 1998, mortality judge for cardiovascular diseases were approximately 30 percent higher among black adults than among white adults.
Cervical cancer rates were almost five times higher among Vietnamese women in the U.S. than among white women. The Pima Indians of Arizona have the highest known diabetes rates in the world. Prostate cancer is nearly twice as common among black men as white men. Would one condemn a medical practitioner for advising greater back and monitoring of black males for cardiovascular disease and prostate cancer, or greater screening and monitoring for cervical cancer among Vietnamese-American females, and the said(prenominal) for diabetes among Pima Indians? It surely would be racial profiling - using race as an indicator of a higher probability of some other characteristic.
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