Media reports about suicide have the potential to influence suicide rates. Reference Niederkrotenthaler, Braun, Pirkis, Till, Stack and Sinyor1 Most research in this area has focused on increased rates of suicide that follow widely reported stories of suicide death, often in celebrities, the so-called Werther effect. Reference Niederkrotenthaler, Braun, Pirkis, Till, Stack and Sinyor1 However, a small and growing literature has investigated the Papageno effect in which widely disseminated stories of mastery of suicide crises and survival are followed by fewer suicides. The Papageno effect was first coined in the context of finding a reduction in suicide rates following publication of such stories in Austria. Reference Niederkrotenthaler, Voracek, Herberth, Till, Strauss and Etzersdorfer2 This general outcome was replicated in Toronto, Canada. Reference Hawley, Niederkrotenthaler, Zaheer, Schaffer, Redelmeier and Levitt3 A study of the ‘1-800-273-8255’ Hip Hop song about a person surviving a crisis by calling a helpline identified 245 fewer suicide deaths in the USA following public attention to the song. Reference Niederkrotenthaler, Tran, Gould, Sinyor, Sumner and Strauss4 More recently, a study found that major films in the USA with Papageno narratives were associated with fewer suicides. Reference Stack, Bowman, Sinyor and Niederkrotenthaler5 These latter two findings focus on fictional media and the literature is generally missing investigation of major true stories of survival in the media, likely because of a general absence of such stories. On Wednesday 11 September 2024, popular rock singer Jon Bon Jovi helped to persuade a woman not to die by suicide at a public location in Tennessee and the story received substantial public attention. Reference Rosenbloom6 This study aims to identify whether the story resulted in a Papageno effect in Tennessee and across the USA.
Method
We conducted time-series analyses to examine the contemporaneous association between the Bon Jovi intervention and suicide mortality during the month it occurred. Monthly suicide counts and annual population estimates were retrieved from the Centers for Disease Control and Prevention (CDC) WONDER database. For the 2024 analysis, 2023 population estimates were utilised as the most proximal denominator. To control for confounding by macroeconomic fluctuations, we included state-specific unemployment rates, the Economic Policy Uncertainty index. A binary indicator also was incorporated to account for the COVID-19 Public Health Emergency period (February 2020–May 2023).
The study period spanned January 2014 to December 2024 (132 months). The initial 12 months were used to construct lagged predictors, leaving 120 months for model estimation. To account for overdispersion in count data, we fitted quasi-Poisson regression models with a log link, using the natural logarithm of the population as an offset to model suicide rates. Temporal dependency and seasonal periodicity were addressed by incorporating 12 lagged outcome values (autoregressive terms). Reference Bennett, Kotuby and Gold7
Model adequacy and diagnostics were assessed. We used the Box–Ljung test for residual autocorrelation and the Kwiatkowski–Phillips–Schmidt–Shin test for stationarity (see Supplement 2 available at https://doi.org/10.1192/bjp.2026.10668). Furthermore, we calculated standardised Pearson residuals for each model to identify whether the suicide mortality in September 2024 constituted a genuine statistical outlier, defined as a residual exceeding the conventional ±2 s.d. threshold.
To ensure the observed intervention effect was not a product of random temporal variation or broader national trends, we employed a two-stage validation framework. First, we conducted temporal placebo testing by constructing an empirical distribution. We iteratively reassigned the intervention status to every month in the pre-intervention period (January 2014 through August 2024), generating a distribution of 116 ‘placebo’ rate ratios for each series. The actual September 2024 risk ratio was evaluated against the historical placebo distribution using the percentile (PCTL) rank, where a 0.9% rank indicates the observed risk ratio was lower than all simulated iterations.
Second, to assess geographic specificity, the same framework was applied to 19 comparison states with similar population sizes (5–15 million) to Tennessee (7.2 million), resulting in 60 examined subgroups. To control for Type I errors across these subgroups, we implemented false discovery rate (FDR) control using the Benjamini–Hochberg procedure.
This study utilised publicly available aggregate data and was therefore exempt from research ethics review. Written consent was not required, as all information was presented in tabulated form and sourced from publicly accessible websites. All analyses were performed using R version 4.4.2 for Windows (R Foundation for Statistical Computing, Vienna, Austria; https://cran.r-project.org).
Results
All 60 quasi-Poisson models exhibited dispersion ratios below 2.0. Standardised Pearson residual plots confirmed that the decline in suicide mortality among Tennessean males in September 2024 was a genuine model outlier, exceeding the conventional ±2 s.d. threshold.
In Tennessee, a significant reduction in suicide mortality was observed in the total population (risk ratio 0.78; PCTL: 0.9%; FDR p = 0.103). Furthermore, the most robust effect was localised among Tennessean males, where the risk ratio fell to 0.74. This finding was uniquely extreme: it situated at the 0.9th percentile (PCTL: 0.9%), indicating that the observed risk was lower than every one of the 116 placebo intervention months generated for this series. Furthermore, this was the only subgroup out of the 60 examined (covering 20 states) to maintain a statistically significant FDR-adjusted p-value of <0.001. Conversely, no significant deviation was observed among Tennessean females (risk ratio 1.05; PCTL: 60.7%; FDR p = 0.89) (see Fig. 1).
Comparison of observed intervention effects against null distributions of relative risk by gender in Tennessee and New Jersey. Note: the differently shaded area denotes the bin containing the real risk ratio and the red dashed line marks the risk ratio for the intervention. Results for other states are provided in Supplement 1. PCTL, percentile; FDR, false discovery rate.

Results for New Jersey, the state where Bon Jovi’s band was formed, also aligned with the null hypothesis; while the male subgroup showed a lower risk ratio (0.74), it fell at the 6.0 percentile with an FDR-adjusted p-value of 0.47 (see Fig. 1). A few other potential reductions in suicide rates were no longer significant after FDR adjustment. In Washington, for example, the male subgroup (risk ratio 0.70; PCTL: 1.7%) appeared as a temporal outlier but did not meet the threshold for significance following FDR adjustment (FDR p = 0.10). Similarly, the male subgroup in Maryland recorded a low risk ratio (risk ratio 0.66; PCTL: 1.7%) but yielded a non-significant adjusted p-value (FDR p = 0.26) (see Supplement 1).
Discussion
To our knowledge, this is the first study investigating a Papageno effect in response to a specific, major, real-life story of survival. We found strong evidence of a localised Papageno effect, approximately a 30% reduction in suicide mortality, specifically among males in Tennessee during September 2024. While overall trends favoured a protective effect across the state, the statistical uniqueness of the Tennessean male subgroup provides critical validation for our primary hypothesis. The stringency of our two-stage validation framework is highlighted by the ‘near-significant’ findings in comparison states like Washington and Maryland (see Supplement 1). While these jurisdictions exhibited risk ratios situated at the 0.9% percentile of their respective historical distributions, they failed to meet the threshold for significance following geographic and multiple testing corrections. These cases suggest that such extreme temporal fluctuations can occur by chance in high-dimensional analyses, further isolating the Tennessee male result (PCTL: 0.9%, FDR p = 0) as the only clear model outlier across the 60 examined subgroups. Like all studies of this kind, we cannot definitively demonstrate causality. Nevertheless, this finding supports the hypothesis that the reduction in male suicides in Tennessee was a robust phenomenon rather than a product of random fluctuation or multiple testing noise.
The results also likely meet the Bradford Hill criteria for causation in relation to the Bon Jovi media event due to their magnitude, direction, timing and specificity. Reference Hill8 They align with our a priori hypothesis that we would observe a reduction in suicide deaths. They also indicate a potentially untapped opportunity to find and publicly disseminate major stories of survival. If such a strategy were implemented, not only might it save lives, but it would allow for more research characterising the Papageno effect phenomenon.
The geographic specificity of the results here suggests that, although the story received some national news coverage, greater local exposure to/awareness of the event and/or greater local resonance likely amplified the intervention’s impact within Tennessee, to Tennessean males in particular. We may speculate that the event might have stimulated more local awareness through media reporting and also through word-of-mouth, including through those directly involved. The event may also have achieved a higher degree of cultural resonance locally, where a shared regional identity with the setting and the actors allowed the pro-social messaging to penetrate more deeply than in other states. These findings align with research indicating that fluctuations in suicide rates following media reports tend to be more pronounced in regions with higher population exposure. Reference Niederkrotenthaler, Voracek, Herberth, Till, Strauss and Etzersdorfer2,Reference Etzersdorfer, Voracek and Sonneck9 While our analysis did not literally measure differential exposure rates across states, the extreme statistical deviation observed in Tennessean males suggests that the narrative reached a critical threshold of saturation within that state. In this context, the high potential for local exposure functioned as a conduit for the narrative’s regional relevance potentially driving a synergy of situational proximity and shared cultural identity.
Another driver of the strong effect among Tennessean males may also be how the event was portrayed in the media. Based on what we know about the Papageno effect and identification Reference Arendt, Till, Gutsch and Niederkrotenthaler10,Reference Too, Ross, Pirkis, Reavley and Reifels11 we might have expected greater identification with the person who had contemplated suicide and an effect specific to women. However, likely for health privacy reasons, the name of the woman who was rescued was not released to the public and consequently the individual that the stories focused on was Bon Jovi. The portrayal of a male figure successfully intervening in a crisis may have provided a potent model of pro-social agency specifically for men.
Our study has several limitations. First, the analysis did not account for potential confounders, and the use of an ecological design inherently limits causal inferences about the observed intervention effect. Second, the placebo test design that we used substantially lowers the odds of a false positive (Type I error); however, it also could be viewed as overly stringent and increases the chance of a Type II error. For example, our results may indicate a true reduction in suicide rates at several state levels that we are rejecting due to a conservative analytic strategy. Third, because the intervention took place in mid-September and more granular, day-level data were unavailable, it is difficult to determine whether the observed decline may have begun in the days leading up to the intervention, potentially complicating interpretation. Lastly, it is important to acknowledge the potential for a synergistic interaction between the Papageno effect and the personal characteristics of the person who intervened (Bon Jovi). At the time, he was recovering from a vocal impairment, which may have contributed to his portrayal as a figure of resilience (e.g. Reference Bennett, Kotuby and Gold7 ). In addition, his consistent pro-social behaviours likely fostered a sense of heroisation (e.g. Reference Gross12–Reference Beaumont-Thomas14 ), and further have enhanced his influence. This context could have amplified the intervention’s impact beyond what might be typically observed. Thus, caution is warranted in generalising these findings to other intervention cases. Taken together, these limitations suggest that the observed effect should be interpreted with caution and that more studies of this kind are needed to validate it. Finally, because our study was limited to 20 states and an 11-year time frame, the findings may not fully generalise; incorporating all states, with their broader population distributions and extended observation periods, could yield different results.
Nonetheless, a key strength of this study is the use of a quasi-experimental time-series design featuring a rigorous two-stage validation framework. While the ecological nature of the data precludes definitive causal claims, the integration of 116 temporal placebo tests and 60-subgroup geographic comparisons significantly elevates the analysis and reliability of the conclusions beyond simple association. This conservative strategy, requiring outcomes to exceed both standardised residual thresholds and the historical placebo distribution, minimises the likelihood of Type I errors. Furthermore, by implementing FDR control across multiple states, we isolated the unique Tennessee signal from broader national noise.
We found evidence of a Papageno effect in Tennessee, particularly among males, following the widely disseminated story of Bon Jovi rescuing a women experiencing a suicidal crisis. This and other recent findings related to the Papageno effect should be shared with media and public-facing content creators and lessons learned integrated into responsible media reporting guidelines. More Papageno stories and more research investigating their effects are both warranted.
Supplementary material
The supplementary material is available online at https://doi.org/10.1192/bjp.2026.10668
Data availability
Data on suicide mortality are available from the CDC WONDER database https://wonder.cdc.gov/
Author contributions
S. Shin conceptualised the study and its design, performed data analyses, interpreted the results and wrote the first and final draft of the manuscript. M.S. conceptualised the study, wrote the first draft of the manuscript and provided final approval for publication. S. Stack and T.N. reviewed the content and provided final approval for publication.
Funding
M.S.’s work was supported in part by an Academic Scholar Award from the Department of Psychiatry at Sunnybrook Health Sciences Centre.
Declaration of interest
None.
eLetters
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