Alex

“And so, because business leadership is still so dominated by men, modern workplaces are riddled with these kind of gaps, from doors that are too heavy for the average woman to open with ease, to glass stairs and lobby floors that mean anyone below can see up your skirt, to paving that’s exactly the right size to catch your heels. Small, niggling issues that aren’t the end of the world, granted, but that nevertheless irritate. Then there’s the standard office temperature. The formula to determine standard office temperature was developed in the 1960s around the metabolic resting rate of the average forty-year-old, 70 kg man.1 But a recent study found that ‘the metabolic rate of young adult females performing light office work is significantly lower’ than the standard values for men doing the same type of activity. In fact, the formula may overestimate female metabolic rate by as much as 35%, meaning that current offices are on average five degrees too cold for women. Which leads to the odd sight of female office workers wrapped up in blankets in the New York summer while their male colleagues wander around in summer clothes.”
― Caroline Criado Perez, Invisible Women: Data Bias in a World Designed for Men

“When planners fail to account for gender, public spaces become male spaces by default.”
― Caroline Criado-Pérez, Invisible Women: Data Bias in a World Designed for Men

“In the EU, 25% of women cite care work as their reason for not being in the paid labour force. This compares to 3% of men.”
― Caroline Criado-Pérez, Invisible Women: Data Bias in a World Designed for Men

“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