Gender data bias affects women's access to resources from "summary" of Invisible Women by Caroline Criado Perez
Gender data bias is a pervasive issue that has far-reaching consequences for women, particularly when it comes to access to resources. When data is collected and analyzed, it is often done so in a way that overlooks the specific needs and experiences of women. This leads to a lack of understanding of women's realities and results in policies and decisions that are not tailored to their needs. One example of this can be seen in the design of transportation systems. Historically, transportation data has been collected with a focus on the needs of men, who are typically the primary users of public transportation. As a result, women's experiences and concerns have been largely ignored. This has led to a lack of safety measures on public transportation, such as well-lit bus stops and security cameras, which are essential for women's safety. Additionally, gender data bias affects women...
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