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(as of Sep 12, 2024 15:57:44 UTC – Details)
Malcolm Gladwell, host of the podcast Revisionist History and author of the number-one New York Times best seller Outliers, reinvents the audiobook in this immersive production of Talking to Strangers, a powerful examination of our interactions with people we don’t know.
How did Fidel Castro fool the CIA for a generation? Why did Neville Chamberlain think he could trust Adolf Hitler? Why are campus sexual assaults on the rise? Do television sitcoms teach us something about the way we relate to each other that isn’t true?
While tackling these questions, Malcolm Gladwell was not solely writing a book for the page. He was also producing for the ear. In the audiobook version of Talking to Strangers, you’ll hear the voices of people he interviewed – scientists, criminologists, military psychologists. Court transcripts are brought to life with re-enactments. You actually hear the contentious arrest of Sandra Bland by the side of the road in Texas. As Gladwell revisits the deceptions of Bernie Madoff, the trial of Amanda Knox, and the suicide of Sylvia Plath, you hear directly from many of the players in these real-life tragedies. There’s even a theme song – Janelle Monae’s “Hell You Talmbout”.
Something is very wrong, Gladwell argues, with the tools and strategies we use to make sense of people we don’t know. And because we don’t know how to talk to strangers, we are inviting conflict and misunderstanding in ways that have a profound effect on our lives and our world.
The audiobook edition of Talking to Strangers was an instant number-one best seller, and was one of the most pre-ordered audiobooks in history. It seamlessly marries audiobooks and podcasts, creating a completely new and real listening experience.
Customers say
Customers find the book insightful, interesting, and informative. They describe it as an entertaining, captivating read with an engaging writing style. Readers appreciate the detailed storytelling and great examples. However, some find the pacing not profound and the subject matter depressing.
AI-generated from the text of customer reviews
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