Gender data gaps result in bias against women from "summary" of Invisible Women by Caroline Criado Perez
Gender data gaps are everywhere. They are in our workplaces, in our cities, in our homes. And these gaps have real consequences for women. When data is not collected or analyzed by sex, women become invisible. This leads to biased decisions that disadvantage women. For example, in medicine, women are often underrepresented in clinical trials. This means that drugs are tested primarily on men, and dosages may not be appropriate for women. As a result, women are more likely to experience adverse side effects or have poorer outcomes. Gender data gaps also affect women in the workforce. For instance, studies have shown that women are more likely to be laid off during economic downturns. This is because companies often base layoffs on data that does not take into account the unpaid care work that women disproportionately perform. By failing to consider this important factor, ...
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