In 1980, the wealthiest 10% of households owned 68% of the total US wealth. In 2007, the wealthiest 10% controlled 73% of the wealth. Similarly, in the 1970s, the average woman earned about 60% of what the average man would typically earn. Fortunately, the gender income gap has decreased since the 1970s, with women earning about 80% of that typically earned by men. Unfortunately, the gender income gap has hit a plateau that started in 2005 (Stanford Center On Poverty & Inequality, 2011).
“Okay, so that’s our world,” said Alice Eagly, The Society for Personality and Social Psychology (SPSP) 2018 Annual Convention Legacy honoree, as she explained the broad differences in the division of labor across men and women that persist to this day. Eagly is perhaps best known for her work on how gender stereotypes emerge from the social roles men and women adopt. As Eagly explained, we learn about men and women from how labor is divided.
In almost as quickly as it takes to blink an eye, we make assumptions about a group of people. New research from UCLA (University of California, Los Angeles) shows people perceive the sex ratio of a group, and decide if the group is threatening or not, in half a second. The perceptions of the number of men in the group are accurate, according to the research.
Nicholas Alt (UCLA), Brianna Mae Goodale (UCLA), David J Lick (New York University) and Kerri Johnson (UCLA) conducted the research. The results appear in the journal Social Psychological and Personality Science.
Women make up 50.8 percent of the U.S. population and have equal voting rights, yet are politically underrepresented. The country has never had a female president or vice president. Only 3.5 percent of Supreme Court justices have been women, and women make up only 20 percent of Congress.
What does the future hold? Our enduring fascination with predicting the future is reflected on the silver screen, as excitement builds over the Blade Runner sequel. We continue being mesmerized by ancient prophecies, such as Nostradamus' Quatrains. And we certainly pay very well to pundits, economists, and intelligence analysts who try to predict coming social, economic, and political events. Unfortunately, this abiding interest in prediction has not translated into the ability to forecast future events with much accuracy.
It’s no secret that Silicon Valley employs many more men than women in tech jobs. What’s much harder to agree on is why.
The recent anti-diversity memo by a now former Google engineer has pushed this topic into the spotlight. The writer argued there are ways to explain the gender gap in tech that don’t rely on bias and discrimination – specifically, biological sex differences. Setting aside how this assertion would affect questions about how to move toward greater equity in tech fields, how well does his wrap-up represent what researchers know about the science of sex and gender?
While the metaphor that ideas appear “like light bulbs” is popular and appealing, new research shows that discovery metaphors influence our understanding of the scientific process and perceptions of the ability of inventors based on their gender.