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Whenever we have a question – about ourselves or the world around us – it can be helpful to visualize our answer in order to really understand it. But how do you conceptualize something as big as inequality, as complex a...
How to answer your biggest questions—with data How to Be a Better Human is an episode from Am I Normal? with Mona Chalabi by TED. Whenever we have a question – about ourselves or the world around us – it can be helpful to visualize our answ...
This episode belongs to Am I Normal? with Mona Chalabi.
Use the player on this page to stream the episode online.
Published Jan 4, 2023, 36:23 long, audio available.
Whenever we have a question – about ourselves or the world around us – it can be helpful to visualize our answer in order to really understand it. But how do you conceptualize something as big as inequality, as complex as grief, or as silly as your probability of correctly guessing today’s Wordle? Mona was a guest on another podcast in the TED Audio Collective, called How to Be a Better Human, to explain how anyone can use analysis to answer their most personal questions. For the text transcript, visit go.ted.com/BHTranscripts . And for more episodes on how to be a little less terrible, follow How to Be a Better Human wherever you're listening to this. Hosted on Acast. See acast.com/privacy for more information.
You can listen to How to answer your biggest questions—with data How to Be a Better Human online on Radio and Podcast. Open the player on this page to stream the available audio.
How to answer your biggest questions—with data How to Be a Better Human is an episode from Am I Normal? with Mona Chalabi by TED.
This episode is 36:23 long.
This episode was published on Jan 4, 2023.
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You can listen to How to answer your biggest questions—with data How to Be a Better Human on this page when the episode audio is available from the podcast feed.
How to answer your biggest questions—with data How to Be a Better Human is from Am I Normal? with Mona Chalabi by TED.
Published Jan 4, 2023 and 36:23 long