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Make a donationEnergy can’t be created or destroyed, but that doesn’t mean it doesn’t end up hiding in some surprising places. Aided by Cubism-inflected animation and a clever analogy thought up by Richard Feynman, the chemist and broadcaster Andrea Sella, professor of inorganic chemistry at University College London, explains how scientists can infer the distribution of energy ‘in cunning ways’ without actually observing it.
A generation ago, children in classrooms in the United States prepared for natural disasters such as fires and tornadoes. Today, active-shooter drills force them to confront the grim possibility that someone – perhaps a fellow student – might open fire in their school. In this StoryCorps animation, one such drill prompts a mother and her 10-year-old son in Texas to discuss a question no child should ever have to consider – whether he would sacrifice himself to try to save his schoolmates. An affecting and troubling short, The Drill gives an aching human voice to the psychological toll of school shootings and the culture of fear they’ve created for schoolchildren and their parents in the US.
‘We’re not so much abandoning the idea of the gods, we’re just trying to pull them all the way into the Universe.’
From the possibility of infinite universes to the prospect of panpsychism, puzzles have arisen in physics that can take science to some very counterintuitive places. According to Mary-Jane Rubenstein, assistant professor of religion and feminist, gender and sexuality studies at Wesleyan University in Connecticut, new theories and breakthroughs at the forefront of cosmology need not – and moreover, should not – elbow out theology from the conversation about our place in the cosmos. Instead, as she argues in this wide-ranging interview recorded at the HowTheLightGetsIn Festival from the Institute of Arts and Ideas in 2019, science should encourage us to build more durable myths and theologies to suit our times.
Video by The Institute of Arts and Ideas
If you’ve ever tripped up over the term ‘Bayesian’ while reading up on data or tech, fear not. Strip away the jargon and notation, and even the mathematics-averse can make sense of the simple yet revolutionary concept at the core of both machine learning and behavioural economics. As this video from the YouTube channel 3Blue1Brown skilfully explains, at its most basic, Bayes’s theorem is a tool for assessing degrees of probability based on prior conditions. And there are ways to make it altogether more intuitive than the statistical formulas might suggest. Although the theorem dates back to its 18th-century namesake, the English statistician and philosopher Thomas Bayes, it has gained increasing relevance in the Big Data revolution.
Video by 3Blue1Brown
On 16 April 2014, the ferry MV Sewol sunk off the coast of South Korea, killing 304 people – the vast majority of them high-school students on a field trip. Like many other tragedies, the event made headlines around the world before quickly fading from the international news cycle. In South Korea, however, facts about the incompetence, government failures and lapses in responsibility that led to the Sewol’s sinking emerged slowly over the course of several years, prolonging pain and stoking anger to the present day. The documentary In the Absence by the South Korean director Yi Seung-Jun is a devastating account of the sinking and its aftermath – from the first signs of trouble at sea to the years-long struggle by bereaved families demanding accountability and justice. Combining original material with real-time audio and video of the tragedy, the film offers an extraordinary, chilling account of the consequences of following instructions from inept authorities – and the profound breakdown of public trust that follows such a disaster.
Energy can’t be created or destroyed, but that doesn’t mean it doesn’t end up hiding in some surprising places. Aided by Cubism-inflected animation and a clever analogy thought up by Richard Feynman, the chemist and broadcaster Andrea Sella, professor of inorganic chemistry at University College London, explains how scientists can infer the distribution of energy ‘in cunning ways’ without actually observing it.