Mariana Rojas

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Clarice Lispector
“It is because I dove into the abyss that I am beginning to love the abyss I am made of.”
Clarice Lispector

Cathy O'Neil
“However, when you create a model from proxies, it is far simpler for people to game it. This is because proxies are easier to manipulate than the complicated reality they represent.”
Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Clarice Lispector
“You don't understand music: you hear it. So hear me with your whole body.”
Clarice Lispector, The Stream of Life

Simone de Beauvoir
“If they want to flirt or initiate a friendship, they should carefully avoid giving the impression they are taking the initiative; men do not like tomboys, nor bluestockings, nor thinking women; too much audacity, culture, intelligence, or character frightens them.

In most novels, as George Eliot observes, it is the dumb, blond heroine who outshines the virile brunette; and in The Mill on the Floss, Maggie tries in vain to reverse the roles; in the end she dies and it is blond Lucy who marries Stephen. In The Last of the Mohicans, vapid Alice wins the hero’s heart and not valiant Cora; in Little Women kindly Jo is only a childhood friend for Laurie; he vows his love to curly-haired and insipid Amy.

To be feminine is to show oneself as weak, futile, passive, and docile. The girl is supposed not only to primp and dress herself up but also to repress her spontaneity and substitute for it the grace and charm she has been taught by her elder sisters. Any self-assertion will take away from her femininity and her seductiveness.”
Simone de Beauvoir, The Second Sex

Cathy O'Neil
“Racism, at the individual level, can be seen as a predictive model whirring away in billions of human minds around the world. It is built from faulty, incomplete, or generalized data. Whether it comes from experience or hearsay, the data indicates that certain types of people have behaved badly. That generates a binary prediction that all people of that race will behave that same way. Needless to say, racists don’t spend a lot of time hunting down reliable data to train their twisted models. And once their model morphs into a belief, it becomes hardwired. It generates poisonous assumptions, yet rarely tests them, settling instead for data that seems to confirm and fortify them. Consequently, racism is the most slovenly of predictive models. It is powered by haphazard data gathering and spurious correlations, reinforced by institutional inequities, and polluted by confirmation bias.”
Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

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