Method: Data come from four criminal mail scam enterprises that were investigated by the US Postal Inspection Service. These criminal enterprises ran overlapping schemes between 2000 and 2018. The perpetrators collected information on paying victims (first name, last name, address, age) and how often they paid money in response to solicitations. Datasets were merged and machine learning was used to clean and deduplicate repeat addresses and victims. We used a Prentice-Williams-Peterson adaptation of a Cox proportional hazards model to estimate the effect of age on the likelihood of experiencing a subsequent victimization, controlling for the number of prior victimizations. We use logistic regression to assess the relationship between age and polyvictimization, defined as responding to multiple types of mail scams (i.e., psychic scam and lottery/sweepstakes scam) over the nearly 20-year period.
Results: Compared to victims in their 50s, victims aged 70 to 79 and 80 to 89 had a 9% greater risk of experiencing another victimization, whereas victims in their 20s had a 24% lower risk of experiencing another victimization. Logistic regression analyses indicate that adults in their 70s and 80s are significantly more likely than those younger than 50 to experience victimization by multiple types of mail scams. Contrary to expectations, the timing between sequential victimization incidents is not shorter for older adults compared to those in their 50s.
Conclusions and Implications: This is the first study to use administrative data collected by fraud perpetrators, rather than relying on victim self-report, to explore the relationship between fraud victimization and age. Findings advance the literature by helping to address the debate about who is most susceptible to scams. We show that although people of all ages respond to mass marketing fraud, social workers need to focus education and protection efforts on older adults who face a significantly greater risk of repeat victimization and polyvictimization.