In 2010, sociologist Patrick Sharkey examined a striking pattern within the Project on Human Development in Chicago Neighborhoods: a child's performance on standardized tests dropped significantly if a homicide occurred in their immediate neighborhood just days before the exam. Drawing on data from 80 Chicago neighborhoods tracking thousands of children since the mid-1990s, Sharkey found that children living only a few blocks from a murder site scored significantly lower on reading and vocabulary tests compared to peers who took the same tests on different days.1
The impact was substantial. Children tested within seven days of a nearby homicide saw their vocabulary scores drop by roughly half a standard deviation. In reading, the decline reached 0.66 standard deviations within four days of an incident. To put this in classroom terms, an average student would drop from the 50th percentile to the 31st percentile in vocabulary and the 25th in reading. Crucially, the children did not need to witness the violence directly; the effect was driven solely by proximity and timing, fading as the distance from the event increased and more time passed.1
- How much did a nearby homicide depress children's reading scores within a week?
- Why do abused children identify angry faces more rapidly than their peers?
- Does an unpredictable childhood only damage the mind, or does it hone certain skills?
- How effective was short-term therapy in reducing violence in Chicago and Liberia?
Why do abused children identify angry faces more rapidly than their peers?
Psychologist Seth Pollak of the University of Wisconsin and Pawan Sinha of MIT demonstrated in 2002 that children who have suffered physical abuse are hypersensitive to signs of anger. When shown facial expressions that gradually shifted from neutral to emotive, abused children correctly identified angry faces with fewer visual cues than their non-abused peers. Conversely, they required more visual information to identify sad expressions.2 Pollak attributes this to perceptual learning: if the first sign of danger in a home is an angry face, a child who detects that signal early gains precious seconds to protect themselves. The brain appears to sharpen its perceptual focus toward the most frequent and costly signals in a child's environment.
This "hostile attribution bias" persists into later development. In a 1990 study published in Science, Kenneth Dodge, John Bates, and Gregory Pettit followed 309 children from preschool onwards, finding that those with a history of physical abuse were more likely to interpret ambiguous social cues as intentionally provocative, leading to increased aggression in later years even after accounting for poverty and family instability.3
Does an unpredictable childhood only damage the mind, or does it hone certain skills?
While childhood adversity is often framed as purely damaging, research suggests it may also foster specialized cognitive adaptations. A 2015 study by Chiraag Mittal and colleagues at the University of Minnesota found that adults raised in volatile environments—characterized by frequent moves and economic instability—struggled with tasks requiring the suppression of immediate reactions. However, these same individuals outperformed others when forced to shift tasks rapidly in response to changing rules.4 In a dangerous or unpredictable environment, assuming the rules of the game will change is a survival advantage, even if that same vigilance becomes a liability in a structured classroom or office.
How effective was short-term therapy in reducing violence in Chicago and Liberia?
Short-term behavioral interventions have shown significant promise in helping at-risk individuals regulate automatic responses. The "Becoming a Man" program in Chicago, which adapts cognitive-behavioral therapy (CBT) for schools, teaches students to pause before reacting to perceived threats. In two large-scale randomized trials led by economist Sara Heller, the program reduced violent crime arrests by 45% to 50% during the intervention period.5 Further research through the READI Chicago initiative, which provided job opportunities and CBT to high-risk men, found that while the overall impact varied, targeted sub-groups saw a 79% reduction in arrests for gun-related violence and a 43% decrease in victimization.6
A decade-long study in Monrovia, Liberia, further validated the potential for long-term behavioral change. In 2009, economist Christopher Blattman and his team provided eight weeks of CBT to young men involved in street violence. Ten years later, those who received the therapy reported a significant decrease in engagement with crime, with effects most pronounced in individuals considered the highest risk at the start of the study.7 While these programs do not "fix" structural poverty, they demonstrate that even brief interventions can help break the cycle of automatic, violent responses conditioned by life in high-stress environments.
Notes and Sources
- Sharkey, P. (2010). "The acute effect of local homicides on children's cognitive performance." Proceedings of the National Academy of Sciences, 107(26), 11733-11738. ↩
- Pollak, S. D. & Sinha, P. (2002). "Effects of early experience on children's recognition of facial displays of emotion." Developmental Psychology, 38(5), 784-791. ↩
- Dodge, K. A., Bates, J. E. & Pettit, G. S. (1990). "Mechanisms in the cycle of violence." Science, 250(4988), 1678-1683. ↩
- Mittal, C., et al. (2015). "Cognitive adaptations to stressful environments: When childhood adversity enhances adult executive function." Journal of Personality and Social Psychology, 109(4), 604-621. ↩
- Heller, S. B., et al. (2017). "Thinking, fast and slow? Some field experiments to reduce crime and dropout in Chicago." The Quarterly Journal of Economics, 132(1), 1-54. ↩
- Bhatt, M. P., et al. (2024). "Predicting and preventing gun violence: An experimental evaluation of READI Chicago." The Quarterly Journal of Economics, 139(1), 1-56. ↩
- Blattman, C., et al. (2023). "Cognitive behavioral therapy reduces crime and violence over ten years: Experimental evidence." American Economic Review: Insights, 5(4), 527-545. ↩