Invisible Women Quotes

“women are also cash poor compared to men: around the world women have less access to household finances than men, while the global gender pay gap currently stands at 37.8%”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“They didn’t deliberately set out to exclude women. They just didn’t think about them. They didn’t think to consider if women’s needs might be different. And so this data gap was a result of not involving women in planning.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“Women do 75% of the world’s unpaid care work”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“it wasn’t a renaissance for women, who were still largely excluded from intellectual and artistic life.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“result of this deeply male-dominated culture is that the male experience, the male perspective, has come to be seen as universal, while the female experience – that of half the global population, after all – is seen as, well, niche.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“heroes are male by default’.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“It’s time for women to be seen.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“More damningly, several studies of performance-related bonuses or salary increases have found that white men are rewarded at a higher rate than equally performing women and ethnic minorities, with one study of a financial corporation uncovering a 25% difference in performance-based bonuses between women and men in the same job.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“The implicit bias is clear: expense codes are based on the assumption that the employee has a wife at home taking care of the home and the kids.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“a University of Michigan study which found that husbands create an extra seven hours of housework a week for women.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“The stories we tell ourselves about our past, present and future. They are all marked – disfigured – by a female-shaped ‘absent presence’. This is the gender data gap. The gender data gap isn’t just about silence. These silences, these gaps, have consequences.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“it is exactly their whiteness and maleness that caused them to seriously vocalise the logical absurdity that identities exist only for those who happen not to be white or male. When you have been so used, as a white man, to white and male going without saying, it’s understandable that you might forget that white and male is an identity too.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“«Sencillamente se desconoce el efecto específico que tienen gran cantidad de los medicamentos existentes en las mujeres.»118”
― Caroline Criado Pérez, La mujer invisible: Descubre cómo los datos configuran un mundo hecho por y para los hombres

“Y todo es consecuencia de una brecha de datos a la que se suma la creencia todavía predominante, frente a todas las pruebas existentes, de que los hombres son el ser humano por defecto. No lo son. Sólo son hombres, para señalar lo obvio. Y los datos recopilados sobre ellos no se pueden ni se deben aplicar a las mujeres. Urge una revolución en la investigación y la práctica de la medicina. Urge formar a los médicos para que escuchen a las mujeres y reconozcan que su incapacidad para diagnosticarlas tal vez no es porque ellas mienten o están histéricas; el problema puede ser la ausencia de datos de género en sus conocimientos. Es hora de dejar de rechazar a las mujeres y empezar a salvarlas.”
― Caroline Criado Pérez, La mujer invisible: Descubre cómo los datos configuran un mundo hecho por y para los hombres

“Zoning laws are based on, and prioritise the needs of, a bread-winning heterosexual married man who goes off to work in the morning, and comes home to the suburbs to relax at night.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“Los hombres son más propensos que las mujeres a verse involucrados en un accidente automovilístico, lo que significa que dominan las cifras de personas gravemente heridas en accidentes de tráfico. Pero cuando una mujer se ve involucrada en uno, tiene un 47 % más de posibilidades que un hombre de sufrir lesiones graves, y un 71 % más de sufrir lesiones moderadas,46 incluso cuando los investigadores controlan factores como la altura, el peso, el uso del cinturón y la intensidad del choque.47 También son un 17 % más propensas a morir.48 Y todo tiene que ver con cómo y para quién se diseña el coche.”
― Caroline Criado Pérez, La mujer invisible: Descubre cómo los datos configuran un mundo hecho por y para los hombres

“men confuse their own point of view with the absolute truth.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“the lives of men have been taken to represent those of humans overall.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“Clasificamos los siglos del XIV al XVII como «el Renacimiento», aunque, como señala la psicóloga social Carol Tavris en su libro The Mismeasure of Woman (1991), no fue un renacimiento para las mujeres, que aún estaban excluidas en gran medida de la vida intelectual y artística. Identificamos el siglo XVIII con «la Ilustración» a pesar de que, por más que extendiera «los derechos del hombre», «restringió los de las mujeres, a quienes se les negó el control de sus bienes e ingresos, y se les impidió acceder a la educación superior y a la capacitación profesional». Pensamos en la Antigua Grecia como la cuna de la democracia, aunque la mitad femenina de la población estaba explícitamente excluida de votar.”
― Caroline Criado Pérez, La mujer invisible: Descubre cómo los datos configuran un mundo hecho por y para los hombres

“Recent research has emerged showing that while women tend to assess their intelligence accurately, men of average intelligence think they are more intelligent than two-thirds of people.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“Employment procedures that are unwittingly biased towards men are an issue in promotion as well as hiring. A classic example comes from Google, where women weren't nominating themselves for promotion at the same rate as men. This is unsurprising: women are conditioned to be modest, and are penalised when they step outside of this prescribed gender norm [...] their [Google] solution was not to fix the male-biased system: it was to fix the women. Senior women at Google started hosting workshops 'to encourage women to nominate themselves''.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“This observation may go some way to explaining why a Finnish study found that single women recovered better from heart attacks than married women – particularly when put alongside a University of Michigan study which found that husbands create an extra seven hours o housework a week for women. An Australian study similarly found that housework time is most equal by gender for single men and women; when women start to cohabit, 'their housework time goes up while men's goes down, regardless of their employment status.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“the truth is that getting rid of the generic masculine would only be half the battle: male bias is so firmly embedded in our psyche that even genuinely gender-neutral words are read as male. A 2015 study identified the top five words used to refer to people in human-computer interaction papers published in 2014 and found that they are all apparently gender neutral: user, participant, person, designer and researcher.39 Well done, human-computer interaction academics! But there is (of course) a catch. When study participants were instructed to think about one of these words for ten seconds and then draw an image of it, it turned out that these apparently gender-neutral words were not perceived as equally likely to be male or female. For male participants, only ‘designer’ was interpreted as male less than 80% of the time (it was still almost 70% male). A researcher was more likely to be depicted as of no gender than as a female. Women were slightly less gender-biased, but on the whole were still more likely to read gender-neutral words as male, with only ‘person’ and ‘participant’ (both read by about 80% of male participants as male) being about 50/50.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“There is no such thing as a woman who doesn’t work. There is only a woman who isn’t paid for her work.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“For too long we have positioned women as a deviation from standard humanity and this is why they have been allowed to become invisible. It's time for a change in perspective. It's time for women to be seen.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“The fact is that worth is a matter of opinion, and opinion is informed by culture. And if that culture is as male-biased as ours is, it can't help but be biased against women. By default.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“The result of this deeply male-dominated culture is that the male experience, the male perspective, has come to be seen as universal, while the female experience - that of half the global population, after all - is seen as, well, niche.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“Tech’s love affair with the myth of meritocracy is ironic for an industry so in thrall to the potential of Big Data, because this is a rare case where the data actually exists. But if in Silicon Valley meritocracy is a religion, its God is a white male Harvard dropout. And so are most of his disciples: women make up only a quarter of the tech industry’s employees and 11% of its executives.11 This is despite women earning more than half of all undergraduate degrees in the US, half of all undergraduate degrees in chemistry, and almost half in maths.12 More than 40% of women leave tech companies after ten years compared to 17% of men.13 A report by the Center for Talent Innovation found that women didn’t leave for family reasons or because they didn’t enjoy the work.14 They left because of ‘workplace conditions’, ‘undermining behaviour from managers’, and ‘a sense of feeling stalled in one’s career’. A feature for the Los Angeles Times similarly found that women left because they were repeatedly passed up for promotion and had their projects dismissed.15 Does this sound like a meritocracy? Or does it look more like institutionalised bias?”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“The world’s ‘fastest-growing language’,34 used by more than 90% of the world’s online population, is emoji.35 This language originated in Japan in the 1980s and women are its heaviest users:36 78% of women versus 60% of men frequently use emoji.”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men

“Bank’s selection procedure for”
― Caroline Criado Pérez, Invisible Women: Data Bias in a World Designed for Men