A new study casts doubt on the accuracy of predicting domestic violence homicides, revealing that commonly cited risk factors often fail to accurately identify individuals at risk. The research, conducted by Swinburne University, analyzed nearly 40,000 family violence reports and found that many ‘red flags’ are not reliable predictors of lethal or near-lethal violence.
The prevailing narrative often emphasizes the importance of believing victims and identifying ‘red flags’ to prevent domestic violence homicides. However, a recent study challenges this perspective, highlighting the statistical difficulty in predicting such rare events. Researchers from Swinburne University’s Centre for Forensic Behavioural Science investigated whether commonly cited risk factors accurately predict lethal or near-lethal family violence .
The study examined 12 factors, including access to firearms, threats to kill, strangulation, and substance abuse, using data from nearly 40,000 family violence reports recorded by Victoria Police between September 2019 and March 2020. The researchers followed up with each case for 365 days after the initial report to determine if lethal or near-lethal violence occurred.The study’s findings reveal the complexities inherent in predicting these rare events. The analysis showed that most of the identified risk factors did not strongly correlate with lethal or near-lethal violence. While experts often point to the presence of ‘red flags’ such as strangulation as significant indicators, the study demonstrated that these factors are prevalent in a much larger number of cases that do not result in homicide. For instance, a history of strangulation was documented in thousands of cases, but only a tiny fraction of these led to lethal violence. The study’s authors emphasize the importance of understanding low base rate events. Lethal or near-lethal violence occurred in only a small percentage of family violence cases over the study period, making accurate prediction challenging. The researchers also assessed the L17 form data from police which recorded indicators for domestic homicide.The researchers concluded that many commonly cited risk factors are poor predictors of lethal or near-lethal family violence. One risk factor, experiencing violence during pregnancy, showed a statistically significant link, but the impact on probability was small. The study’s authors suggest a ‘fundamental rethink’ of police as first responders to family violence, implying that current approaches may not be effective. The research raises critical questions about the effectiveness of current risk assessment methods and the implications of policies aimed at preventing domestic violence homicides. While the intention to protect victims is paramount, the study underscores the need for more nuanced approaches that acknowledge the statistical challenges in predicting rare events and avoid strategies that may lead to the unnecessary targeting of individuals
Domestic Violence Homicide Risk Assessment Predictive Modeling Family Violence
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