Rishita Chaudhary
@rish_yossarian
multi-hyphenate
tech policy, media & society
Rishita Chaudhary
The project I'm doing is basically turning myself into a certain type of person who is able to have these thoughts. The essays are kind of just exhaust from the project. The work is growing emotionally and intellectually in such a way, and just going out into the world, talking to people, reading, looking at things, and becoming the kind of mind
... See more“Love, but be careful what you love,” the Roman African philosopher Saint Augustine wrote in the final years of the fourth century. We are, in some deep sense, what we love — we become it as much as it becomes us, beckoned from our myriad conscious and unconscious longings, despairs, and patterned desires. And yet there is something profoundly... See more
Maria Popova • Hannah Arendt on Love and How to Live with the Fundamental Fear of Loss
“Perhaps we should try keeping our eyes open while we pray, and look for the meaning hidden in the things right in front of us.”
The Dictionary of Obscure Sorrows by John Koenig review – fifty shades of sad
The purpose of moral principles, or more particularly moral virtues , is to guide us towards our telos . Once we lose the crucial concepts of character and potential, we are left with a morality consisting of abstract rules, or an acceptance of “human nature” as it is, or judgements about particular actions removed from their proper context. As... See more
Practice and Virtue
Moment to moment and
“At the same time, art cannot be understood in terms of purpose. As the sculptor Charles Ray has said, art is “for absolutely nothing.” To make, or experience, art is to enter a kind of free zone; it slows us down, places us in some epistemological estuary, takes us into the wild. We make art from our flaws, fragilities, perversities, from our need
... See moreThe idea of cognitive bias in psychology works in an analogous way. A cognitive bias is a systematic error in how we think, as opposed to a random error or one that’s merely caused by our ignorance. Whereas statistical bias skews a sample so that it less closely resembles a larger population, cognitive biases skew our thinking so that it less... See more
Biases: An Introduction — LessWrong
lesswrong.com