Gender data bias perpetuates harmful stereotypes from "summary" of Invisible Women by Caroline Criado Perez
Gender data bias is not just a minor issue that can be brushed aside. It has real-world consequences that impact women's lives in significant ways. By perpetuating harmful stereotypes, gender data bias reinforces existing inequalities and discrimination against women. When data is collected in a way that overlooks women's experiences and perspectives, it distorts our understanding of the world and reinforces the idea that women are somehow less important or less valuable than men. One example of how gender data bias perpetuates harmful stereotypes can be seen in the field of medicine. For years, the medical community operated under the assumption that men and women were essentially the same, with the only difference being reproductive organs. As a result, most medical research was conducted on male subjects, and the findings were generalized to apply to both men and women. This approach ignored the fact that men and women have different bodies, different health needs, and different responses to treatment. It wasn't until researchers started to include women in clinical trials and analyze data by gender that they discovered significant differences in how men and women experience and respond to certain diseases and medications. This lack of gender-specific data has led to misd...
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