Minorities are often targeted by biased-based policing to “get the numbers”. Data compiled by Jeffrey Fagan shows that African Americans and Hispanics are more likely to be stopped and searched. Fagan found that approximately 1.6 million pedestrians were stopped and questioned by NYPD officers during 2010-2012. Furthermore, 52 percent of people stopped were African American, 32 percent were Hispanics, the other 16 percent accounts for whites and other races. Furthermore, data compiled by the task force dating from October 2013- May 2014 shows that Connecticut police made about 370.000 traffic stops during this time period. Blacks make only 7.9 percent of the state population, however, they accounted for more than 14 percent of traffic stops.
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According to Bias-Based Policing: A Study for the Commonwealth of Virginia proactive policing is supported by Community Oriented Policing, where service is the main factor. However, agencies that establish a culture primarily focusing on service are more likely to experience biased-based policing and increase officer’s misconducts (p.25). This correlates to “getting the numbers” and “getting tough” and often, results in attitudes to reduce crime by any means necessary, and in many cases target the “right people” based on race, biases, and stereotypes. Furthermore, this study also found that agencies have undertaken their own approaches to dealing with the phenomenon, however, the approaches that they have taken have not been the best methods and, in fact, have resulted in negative consequences because they haven’t used guidance or trained researchers. Most importantly, this study has shown that “societal-based” disparities may be the cause of some heretofore biased-based policing methods; societal-based disparities refer to differences that arise whether it’s because of wealth, race, gender and social status. This study supports the claim that little has been done to evaluate and study the
According to Bias-Based Policing: A Study for the Commonwealth of Virginia proactive policing is supported by Community Oriented Policing, where service is the main factor. However, agencies that establish a culture primarily focusing on service are more likely to experience biased-based policing and increase officer’s misconducts (p.25). This correlates to “getting the numbers” and “getting tough” and often, results in attitudes to reduce crime by any means necessary, and in many cases target the “right people” based on race, biases, and stereotypes. Furthermore, this study also found that agencies have undertaken their own approaches to dealing with the phenomenon, however, the approaches that they have taken have not been the best methods and, in fact, have resulted in negative consequences because they haven’t used guidance or trained researchers. Most importantly, this study has shown that “societal-based” disparities may be the cause of some heretofore biased-based policing methods; societal-based disparities refer to differences that arise whether it’s because of wealth, race, gender and social status. This study supports the claim that little has been done to evaluate and study the