Invisible Women

[Quirky Cat]

Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez is exactly what the title implies. It is a novel full of information and details, all of which point to the same conclusion. Data bias. Specifically, data bias formed around men.

Caroline Criado Perez's novel dives into a world of research and gender gaps, pointing out all the little biases that surround our daily lives. From the way a phone is designed, to the way lifesaving research is designed and orchestrated. Perez lays it all out in alarming detail, in a way that is both approachable and mildly terrifying.

To be clear, this isn't a novel full of conspiracy theories or anything like that. Caroline Criado Perez has painstakingly collection data, evidence, and case studies to prove each of her theories. It's hard not to see the correlations when they are all laid out in this manner.

Let me just start by saying that Invisible Women: Data Bias in a World Designed for Men is not a light read. Nor should it be, not really. It's downright depressing at times, especially if you let yourself think too much about the implications of some of the data revealed.

Yet, that simply makes this read all the more important. We can't just stick our heads in the sand and hope for the best. I feel that Caroline Criado Perez has made that point abundantly clear, as I imagine any other reader would agree with as well.

One of the major points that Caroline Criado Perez makes is one that is so simple, and yet so breathtakingly powerful and clear all at the same time. What is happening, and has been happening, isn't automatically a malicious decision. We live in a society that fails to notice simple facts and biases. It's a fact that has snowballed, to put it lightly.

It is hard to explain how that revelation made me feel, if I'm being honest. As such, I feel like I should recommend that everyone interested gives Invisible Women a chance. Caroline Criado Perez's writing is perhaps most effective when read directly, after all.

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