Joseph Thibault

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Regime Change: In...
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What We Can Know
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by Ian McEwan (Goodreads Author)
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Typhoon and Other...
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Maria Konnikova
“In the classic demonstration of the illusion of control, the Harvard psychologist Ellen Langer had students guess the outcome of a coin toss, heads or tails. They were then told whether they were correct or not in their guesses. In three separate setups, the outcomes were predetermined in a specific order: they could be distributed in an intuitively random pattern, there could be more correct guesses clustered near the beginning, or there could be more correct guesses clustered near the end. In each case, the absolute numbers were the same. The only difference was the order. But the results couldn’t have been more different. After the guesses concluded, Langer asked each participant a series of questions: Did they feel they could improve on this task? Did they feel they were particularly talented at it? Did they need more time to get better? Would they be better with limited distraction? And so on. In each case, the obvious answer is no: to answer otherwise is to classify something that is the outcome of chance (a coin toss) as being in the realm of skill. But the obvious answer is not the answer she got. When students had a random progression or one where the accuracy clustered near the end, they did indeed answer in the negative. But when the correct answers were clustered up front, they developed a sudden myopia. Why yes, they said, they are quite good at this, and yes, they would improve with time. Success led to an abject failure of objectivity: suddenly, they were in the throes of the illusion of control. They thought that they could actually predict the results of a coin toss. If we lose early, we have a shot at objectivity. But when we win at the start, that’s when we see the illusion of control playing out in full swing. As Langer titled her paper: “Tails, I Win. Heads, It’s Chance.”
Maria Konnikova, The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win

Kim Stanley Robinson
“The Götterdämmerung Syndrome, as with most violent pathologies, is more often seen in men than women. It is often interpreted as an example of narcissistic rage. Those who feel it are usually privileged and entitled, and they become extremely angry when their privileges and sense of entitlement are being taken away. If then their choice gets reduced to admitting they are in error or destroying the world, a reduction they often feel to be the case, the obvious choice for them is to destroy the world; for they cannot admit they have ever erred.”
Kim Stanley Robinson, The Ministry for the Future

Hannah Ritchie
“The rest goes to livestock or biofuels. The same is true for soy. We could simply repurpose that food, or repurpose that land to grow different crops. This all sounds very simple in principle but getting people to change behaviours is difficult. I don’t think that enough people will make this change based on the ethical pull alone. If we’re to change how people eat across the world we’re going to need some new, tasty, meat-like products”
Hannah Ritchie, Not the End of the World: How We Can Be the First Generation to Build a Sustainable Planet

Hannah Ritchie
“Food waste in households, restaurants and shops is a different issue. In principle it should be straightforward: just buy what you need and make sure you eat it. But human behaviour is hard to change. There are some things that can help.”
Hannah Ritchie, Not the End of the World: How We Can Be the First Generation to Build a Sustainable Planet

Walter Isaacson
“Wiener believed that the most promising path for computer science was to devise machines that would work well with human minds rather than try to replace them. “Many people suppose that computing machines are replacements for intelligence and have cut down the need for original thought,” Wiener wrote. “This is not the case.”14 The more powerful the computer, the greater the premium that will be placed on connecting it with imaginative, creative, high-level human thinking.”
Walter Isaacson, The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution

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