Amber OBrien

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1984
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Caroline Criado Pérez
“Women have always worked. They have worked unpaid, underpaid, underappreciated, and invisibly, but they have always worked. But the modern workplace does not work for women. From its location, to its hours, to its regulatory standards, it has been designed around the lives of men and it is no longer fit for purpose. The world of work needs a wholesale redesign--of its regulations, of its equipment, of its culture--and this redesign must be led by data on female bodies and female lives. We have to start recognising that the work women do is not an added extra, a bonus that we could do without: women's work, paid and unpaid, is the backbone of our society and our economy. It's about time we started valuing it.”
Caroline Criado-Pérez, Invisible Women: Data Bias in a World Designed for Men

Caroline Criado Pérez
“One of the most important things to say about the gender data gap is that it is not generally malicious, or even deliberate. Quite the opposite. It is simply the product of a way of thinking that has been around for millennia and is therefore a kind of not thinking. A double not thinking, even: men go without saying, and women don't get said at all. Because when we say human, on the whole, we mean man.”
Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men

Caroline Criado Pérez
“The evidence that women are being let down by the medical establishment is overwhelming. The bodies, symptoms and diseases that affect half the world’s population are being dismissed, disbelieved and ignored. And it’s all a result of the data gap combined with the still prevalent belief, in the face of all the evidence that we do have, that men are the default humans. They are not. They are, to state the obvious, just men. And data collected on them does not, cannot, and should not, apply to women. We need a revolution in the research and the practice of medicine, and we need it yesterday. We need to train doctors to listen to women, and to recognise that their inability to diagnose a woman may not be because she is lying or being hysterical: the problem may be the gender data gaps in their knowledge. It’s time to stop dismissing women, and start saving them.”
Caroline Criado Perez, Invisible Women: Exposing Data Bias in a World Designed for Men

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