Women are systematically excluded from data collection from "summary" of Invisible Women by Caroline Criado Perez
The assumption that women's experiences are the same as men's is embedded in the data that shape our world. It's a blind spot that leads to women being systematically excluded from data collection. When data is collected, it is often based on a "male default" model, assuming that what is true for men is true for women. This leads to a lack of understanding of women's needs and experiences, resulting in policies and products that do not effectively serve women. This exclusion of women from data collection has far-reaching consequences. For example, in the design of personal protective equipment (PPE), the sizes are often based on male measurements. This means that women who use this equipment are at greater risk of injury or death because it does not fit them properly. In the medical field, women are often excluded from clinical trials, leading to treatments ...
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