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Screenwriter and playwright Phyllis Nagy joins moderator Patrice Petro for a discussion of Alfred Hitchcock’s 1951 classic Strangers on a Train. Adapted from Patricia Highsmith’s debut novel, the film follows tennis player Guy Haines (Farley Granger), who meets the charming but disturbed Bruno Anthony (Robert Walker) during a chance encounter on a train. Bruno proposes they “swap” murders—he’ll kill Guy’s wife, and Guy will kill Bruno’s father—eliminating any obvious motive. When Bruno follows through, Guy finds himself caught in a dangerous game of blackmail and suspense. Known for its striking visual style and psychological complexity, Strangers on a Train is celebrated as one of Hitchcock’s most influential thrillers, offering a masterclass in tension and moral ambiguity. Series: "Carsey-Wolf Center" [Humanities] [Show ID: 40542]
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TÌM KIẾM CÁC TẬP TRƯỚC
Tìm kiếm các tập trước của Humanities (Video).
CÁC TẬP KHÁC TRONG PODCAST NÀY
Environmentalist and author Bill McKibben has helped shape how the world understands climate change. In this conversation with Marco Werman, host of The World, McKibben offers a clear-eyed look at the climate crisis and the solutions that could help reduce the damage of a warming planet.
As part o…
Carol Gilligan, professor at New York University, received the Kyoto Prize in Arts and Philosophy, specifically in the field of Thought and Ethics, for pioneering a new horizon for the “ethic of care” while pointing out the distortions and limitations of conventional psychological theories pertaini…
New York Times bestselling author George Saunders is an American writer who won the Booker Prize for his novel Lincoln in the Bardo. Saunders is known for his sharp wit, moral insight, and inventive storytelling. A longtime contributor to The New Yorker and a creative writing professor at Syracuse …
Privacy-preserving computation can help hospitals and researchers use sensitive health data without exposing it. Farinaz Koushanfar, Ph.D., UC San Diego, explains how secure computation and distributed learning make it possible to collaborate on medical data while protecting patient privacy. Kousha…
Bias in health AI can shape who gets care, how fairly risk is measured, and whether automation helps or harms patients. Karandeep Singh, M.D., M.M.S.C. explains that predictive AI can reflect historical, representation, measurement, learning, evaluation, and deployment bias, especially when models …
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