Category: #Sensemaking
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The power of mathematical models for better policy decisions
“Harnessing the power of mathematical models for better policy decisions” sets out four practical recommendations to help policymakers across a wide range of policy areas effectively capitalise on, and sidestep pitfalls of, using mathematical models for decision-making. Decision-makers are often keen to “follow the science” in highly-charged contexts such as climate policy, pandemic response, economic…
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Greatness Cannot Be Planned
Why does modern life revolve around objectives? From how science is funded, to improving how children are educated — and nearly everything in-between — our society has become obsessed with a seductive illusion: that greatness results from doggedly measuring improvement in the relentless pursuit of an ambitious goal. In Why Greatness Cannot Be Planned—The Myth of…
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Blink and you see it
“Blink and you see it“ Every few seconds, our visual world disappears behind a thin fold of skin that maintains the tear film on the corneal surface and, for more than a tenth of a second, blocks light from falling onto the retina. “Blink and you miss it” is a common idiom that captures how…
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Self-compassion and compassion: predict well-being
“Self-compassion and compassion for others interact to predict well-being” discusses the findings that the effects of compassion for the self on one’s well-being may be contingent on one’s compassion for others. Compassion is generally defined as the motivation and intention to alleviate the suffering of people. Compassion is associated with a number of positive outcomes,…
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A Drive to Survive
“A Drive to Survive: The Free Energy Principle and the Meaning of Life“ How the purposive behavior of living systems outstrips the constraints of the free energy principle. Since 2005, Karl Friston’s proposal that the principle of free energy minimization underpins the purposive behavior of living agents has evolved through thousands of publications. This principle’s central…
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AI only sees the data trail, not the human story
Cassie Kozyrkov just shared a great story: “AI only sees the data trail, not the human story“ AI only sees the past, not the future.AI only sees the pattern, not the purpose.AI only sees the data trail, not the human story.AI only sees compliance, not commitment.AI only sees keyword matches, not understanding.AI only sees what…
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Is Ockham’s razor losing its edge?
Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony The preference for simple explanations, known as the parsimony principle, has long guided the development of scientific theories, hypotheses, and models. Yet recent years have seen a number of successes in employing highly complex models for scientific inquiry (e.g., for 3D…
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Explanation in Biology
The most recent publication from the series “Philisophy of Biology” is “Explanation in Biology“, available for free download at the site. The book introduces and elaborates scientific explanations in biology and the life sciences. Explanations are viewed as a “primary” objective of science – theyoffer deep understanding and knowledge of the world, as opposed to…
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ostracism across contexts
“Psychosocial and behavioural consequences of ostracism across contexts“ Ostracism (being ignored and excluded) thwarts basic psychological needs fundamental for human survival. As a painful experience, ostracism has various mental health, cognitive and behavioural consequences. In this Review, we outline the main psychosocial and behavioural consequences of ostracism and consider how these consequences might be unique…
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