
In this summary of Invisible Women, the focus is simple and powerful: when women are missing from data, women are missing from decisions. And when decisions are made using “default” assumptions that actually reflect male lives, the results can range from small daily frustrations to serious harm—especially in health, safety, work, and public space.
Across eight chapters, the story moves from a clear explanation of the gender data gap to real-world consequences in design, transport, unpaid labor, medicine, science, technology, and politics. Along the way, it offers something steady and hopeful: when societies collect better data, include more diverse voices, and act on what they learn, outcomes improve—not only for women, but for communities as a whole.