Key Facts from "Invisible Women - Data Bias in a World Designed for Men"
- Gender data gap: Most societal norms, systems, and designs have been created using data predominantly from male subjects.
- Sex-disaggregated data: The lack of sex-disaggregated data leads to a lack of representation for women in various fields and designs.
- Healthcare bias: The gender data gap in medical research and healthcare leads to misdiagnoses and ineffective treatment for women.
- Economic inequality: The economic system is set up in a way that undervalues and ignores women's work.
- Transportation and urban planning: Infrastructure and planning are designed with the...