2014
DOI: 10.1073/pnas.1402786111
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Female hurricanes are deadlier than male hurricanes

Abstract: Do people judge hurricane risks in the context of gender-based expectations? We use more than six decades of death rates from US hurricanes to show that feminine-named hurricanes cause significantly more deaths than do masculine-named hurricanes. Laboratory experiments indicate that this is because hurricane names lead to gender-based expectations about severity and this, in turn, guides respondents' preparedness to take protective action. This finding indicates an unfortunate and unintended consequence of the… Show more

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Cited by 150 publications
(58 citation statements)
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“…In that study there were seven decisions to be made, some of which had more than two options to choose from, leading to a total of 3 × 6 × 2 × 2 × 2 × 4 × 3 = 1728 possible ways of analysis. SCA shows that only 37 out of these 1728 versions (2%) yield significant support for the prediction that Jung et al (2014) evaluated and confirmed in their publication. A particularly problematic aspect of researcher flexibility is the decision to remove outliers after having seen their influence on the P-value.…”
Section: (E) Researcher Degrees Of Freedom: (2) Flexibility In Analysismentioning
confidence: 64%
See 1 more Smart Citation
“…In that study there were seven decisions to be made, some of which had more than two options to choose from, leading to a total of 3 × 6 × 2 × 2 × 2 × 4 × 3 = 1728 possible ways of analysis. SCA shows that only 37 out of these 1728 versions (2%) yield significant support for the prediction that Jung et al (2014) evaluated and confirmed in their publication. A particularly problematic aspect of researcher flexibility is the decision to remove outliers after having seen their influence on the P-value.…”
Section: (E) Researcher Degrees Of Freedom: (2) Flexibility In Analysismentioning
confidence: 64%
“…Simonsohn, Simmons & Nelson (2015) hence suggested an automated routine of going through all possible combinations of identified decisions in terms of their influence on the effect of interest (the effect at the heart of the 'story' of a publication; see also Steegen et al, 2016). Simonsohn et al (2015) call this routine 'Specification-Curve Analysis' (SCA), and they demonstrate its utility using the example of a recent study (Jung et al, 2014) that led to some controversy about subjectivity in decision making. In that study there were seven decisions to be made, some of which had more than two options to choose from, leading to a total of 3 × 6 × 2 × 2 × 2 × 4 × 3 = 1728 possible ways of analysis.…”
Section: (E) Researcher Degrees Of Freedom: (2) Flexibility In Analysismentioning
confidence: 99%
“…We report that for highly damaging hurricanes, not for less damaging hurricanes, name femininity predicts more fatalities (1). We suggest this may be because, for damaging storms, factors such as storm names that motivate protective action are more predictive of survival.…”
mentioning
confidence: 73%
“…Instead, to address population at risk, fatality counts can be adjusted for contemporaneous US population in our original model (1). [For example, Hurricane Edna's 20 deaths in 1954 (US population: 163,000,000) would be adjusted to 39 deaths (US population in 2012: 314,000,000); population data source: US Census Bureau.]…”
mentioning
confidence: 99%
“…While verifying this last fact, I discovered a number of recently published articles and books, both academic and popular, in which American scholars argue that storms bearing female names kill more people than ones with male names. 9 Mother Nature, who creates and destroys all things, finds her spiritual analogues in the Virgin Mary and the Whore of Babylon, who in the development of women throughout the western world once served as the models to be followed and avoided. Mother Nature metes out destruction in the form of hurricanes and cold weather and is fundamentally unpredictable and impossible to tame: as a woman, her dual nature is exhibited by a wild, emotional side and a civilized, tranquil one.…”
mentioning
confidence: 99%