datascience

Invisible Women

Book Notes

Okay, fundamentally, this is an incredibly difficult book to read. It starts with a smack upside the head with how women are historically dismissed, ignored, not believed, undercounted, gaslit, and written out of history. It continues with the data to support the claims, then examines the various areas and ways women are invisible through out history, today, and likely for a long time.

Despite being roughly half the population, women do not have the representation in government, access to opportunities, power, or resources that men do. Accomplishments by women are often ascribed to men, or dismissed as luck.

Worse, women are considered "inferior men," who should "just be more like men." Instead of recognizing that women are fundamentally different, we are dismissed as "too messy," told to "be less emotional," instructed to "not be a bitch" after asserting ourselves.

Truly, being a woman is a no-win situation.

This book should be required reading for any researcher, hard or soft sciences, that deals even remotely with people. This book should be required reading for EVERY machine learning researcher.

I want you to read this book. Buy one at your bookstore. Check your library. If they don't have a copy, let me know. I will buy you a copy I want for much for you to read this book