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 and medications that are less effective for women compared to men. The lack of data on women also extends to the workplace, where women's experiences and challenges are often overlooked. For example, studies have shown that women are more likely to experience workplace harassment, yet this data is often not collected or reported. This leads to a cycle of underreporting and underrepresentation of women in the workforce. The exclusion of women from data collection is not just a matter of oversight or neglect. It is a systemic issue that reflects the underlying biases and assumptions that shape our society. By failing to collect data on women, we are perpetuating a cycle of invisibility and inequality that affects women in every aspect of their lives. It is essential to recognize and address this issue in order to create a more equitable and just world for all.
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