Here’s a riddle: Why would a Hurricane Alexandra be deadlier than an identical Hurricane Alexander?
Because females don’t get respect. Not even 100 mile-per-hour typhoons, if they’re dubbed with female names.
Researchers
find that female-named hurricanes kill about twice as many people as
similar male-named hurricanes because some people underestimate them.
Americans expect male hurricanes to be violent and deadly, but they
mistake female hurricanes as dainty or wimpish and don’t take adequate
precautions.
The study,
published in the Proceedings of the National Academy of Sciences,
underscored how unconscious biases shape our behavior — even when we’re
unaware of them.
Researchers
examined the most damaging hurricanes between 1950 and 2012, excluding a
couple of outliers like Katrina in 2005. They found that female-named
storms killed an average of 45 people, while similar hurricanes with
male names killed about half as many.
The
authors of the study, Kiju Jung and others at the University of
Illinois at Urbana-Champaign and Arizona State University, also
conducted experiments asking people to predict the intensity and
riskiness of a hurricane. When asked about a male hurricane, like
Alexander, people predicted a more violent storm than when asked about a
female hurricane, like Alexandra.
Likewise,
research subjects were more willing to evacuate to avoid Hurricane
Victor than when it was Hurricane Victoria. The more masculine the name,
the more respect the hurricane drew. The researchers estimated that
changing the name of a hurricane from Charley to Eloise could nearly
triple the death toll.
Women were as likely as men to disrespect female hurricanes.
We
often assume that racism or sexism is primarily about in-your-face
bigots or misogynists, but research in the last couple of decades —
capped by this hurricane study — shows that the larger problem is
unconscious bias even among well-meaning, enlightened people who embrace
principles of equality.
“It’s a mistake to assume that gender bias is only or mainly about misogynists,” said Susan Fiske, a psychology professor at Princeton University
and the editor of the hurricane study. “Much gender bias is more
automatic, ambiguous and ambivalent than people typically assume.
“Gender
bias is not mostly about ‘I hate them, I hate them,’ ” she added. “A
lot of it is about ‘I cherish them because they are nice, even if
incompetent and needing protection.’ ”
Yale researchers contacted science professors at major research universities
and asked them to evaluate an application from a (mythical) recent
graduate for a laboratory position. The professors received a one-page
summary of the candidate, who in some versions was John and in others
Jennifer.
On
a scale of 1 to 7, with 7 the highest, the professors rated John an
average of 4, and Jennifer a 3.3. On average, the professors suggested a
salary for Jennifer of $26,508, and $30,328 for John. Professors were
more willing to mentor John than Jennifer.
The professors’ assessments were unrelated to their own age or gender.
Other
studies have reached similar conclusions, often by sending out
identical résumés for job applicants — some with a female name and some
with a male name. The male versions do better.
For example, evaluators assess
the C.V. of “Brian Miller” as stronger than that of an identical “Karen
Miller.” Stanford Business School students who read about “Heidi” rate
her more power-hungry and self-promoting than those who read about an
otherwise identical “Howard.”
While
virtually all voters say today that they would vote for a qualified
woman for president (only 30 percent said so in 1930), experiments by Cecilia Hyunjong Mo of Vanderbilt University suggest that in practice people favor male candidates because they associate men with leadership.
Professor
Mo found that people, when asked to make pairs of images, have no
trouble doing so with male names and words like “president” or
“governor.” But some struggle to do so quickly with female names, and
those people are more likely to vote for male candidates.
“There
appears to be a gulf between our conscious ideals of equality and our
unconscious tendency to discriminate at the ballot box,” Mo writes.
I
suspect that unconscious biases shape everything from salary
discrimination to the lackadaisical way many universities handle rape
cases. They also help explain why only 4.8 percent of Fortune 500 C.E.O.’s and 18.5 percent of members of Congress are women.
This
deep bias is as elusive as it is pernicious, but a start is to confront
and discuss it. Perhaps hurricanes, by catching us out, can help us
face our own chauvinism.
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