People don’t overestimate the frequency of dramatic causes of death
Risk perception influenced less by media than previously thought
From road traffic accidents to fires and murders, dramatic causes of death receive considerable media attention. The scientific consensus to date has been that, because the media report dramatic causes of death more frequently than “silent” causes such as heart attacks and diabetes, many people misjudge their prevalence. In specialist literature, this was considered one of the most settled findings in research into risk perception.
However, this assumption can ultimately be traced back to just a single study. In 1978, a team led by Sarah Lichtenstein at the Oregon Research Institute asked respondents to estimate the number of annual deaths for around 40 different causes. The study compared these assumptions with real figures and also examined the extent to which these causes of death were reported in the media and how this reporting was perceived by the respondents.
In the course of his research into risk perception, Thorsten Pachur, Professor of Behavioral Research Methods at TUM, discovered something surprising: the study’s conclusions were not underpinned by statistical analyses and had not been confirmed in subsequent studies. With this in mind, Pachur reevaluated the data from the original study. In addition, he incorporated the two subsequent studies (in which he had participated) that had also examined risk perception and conventional media reporting with similar lists of causes of death, reevaluating their data using the same method.
Results of influential study not replicable
Thorsten Pachur’s study has confirmed that dramatic causes of death have indeed been covered with disproportionate frequency in news reports given their actual prevalence, while unspectacular causes of death have been underrepresented.
However, Pachur’s analysis called the prevailing assumptions about people’s risk perception into question. His evaluation of the data confirmed that the respondents in the 1978 study inaccurately estimated the prevalence of seemingly spectacular risks. However, it was not possible to replicate this result with the data from the more recent studies. The results of a research experiment are only considered verified when they are replicable.
Instead, Pachur’s evaluation of the two more recent studies showed that overestimation or underestimation of a risk is not dependent on whether the respective cause of death is dramatic or non-dramatic. This conclusion remains valid even when evaluating the aggregated data of all three studies. And, when Pachur integrated further studies examining perceptions of mortality risks (but not media reporting), his conclusion was confirmed again.
“These insights do not call into question the fundamental notion that the media can influence people’s perception of risks,” emphasizes Pachur. “However, we should stop believing that a distortion in the level of reporting necessarily leads to a distortion in risk perception.”
Deaths in social environment are a more significant factor
Pachur also found a different explanation for people’s perceptions. Some of the studies he analyzed had also asked participants about their social environment. The new evaluation of this data has shown that the number of deaths of people known to an individual has a far more significant influence on the risk perception of the respective cause of death than the media.
“An important finding is that we are not helpless in the face of distortions in reporting,” says Pachur. “People are evidently quite capable of engaging consciously with news reports and incorporating other sources into their judgment.”
Pachur, T. (2024). The perception of dramatic risks: Biased media, but unbiased minds. Cognition, Volume 246. DOI: 10.1016/j.cognition.2024.105736
This study was supported by the German Research Foundation (DFG).
Technical University of Munich
Corporate Communications Center
- Klaus Becker
- klaus.becker@tum.de
- presse@tum.de
- Teamwebsite
Contacts to this article:
Prof. Dr. Thorsten Pachur
Technical University of Munich (TUM)
Chair of Behavioral Research Methods
Tel.: +49 89 289 28491
pachur@tum.de
