A large-scale analysis of racial disparities in police stops across the United States

被引:0
|
作者
Emma Pierson
Camelia Simoiu
Jan Overgoor
Sam Corbett-Davies
Daniel Jenson
Amy Shoemaker
Vignesh Ramachandran
Phoebe Barghouty
Cheryl Phillips
Ravi Shroff
Sharad Goel
机构
[1] Stanford University,Computer Science
[2] Management Science & Engineering,undefined
[3] Stanford University,undefined
[4] Communication,undefined
[5] Stanford University,undefined
[6] Applied Statistics,undefined
[7] Social Science,undefined
[8] and Humanities,undefined
[9] New York University,undefined
来源
Nature Human Behaviour | 2020年 / 4卷
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摘要
We assessed racial disparities in policing in the United States by compiling and analysing a dataset detailing nearly 100 million traffic stops conducted across the country. We found that black drivers were less likely to be stopped after sunset, when a ‘veil of darkness’ masks one’s race, suggesting bias in stop decisions. Furthermore, by examining the rate at which stopped drivers were searched and the likelihood that searches turned up contraband, we found evidence that the bar for searching black and Hispanic drivers was lower than that for searching white drivers. Finally, we found that legalization of recreational marijuana reduced the number of searches of white, black and Hispanic drivers—but the bar for searching black and Hispanic drivers was still lower than that for white drivers post-legalization. Our results indicate that police stops and search decisions suffer from persistent racial bias and point to the value of policy interventions to mitigate these disparities.
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页码:736 / 745
页数:9
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