"I think when data is handled really, really well, it allows us to kind of challenge those hypotheses," she says. "What you very often end up with is like a yes and or a yes, but and that what comes after that little caveat is normally really interesting and fruitful for further exploration" She adds: "You really do get away with so much by having a British accent in America."
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? For data journalist Mona Chalabi, the answer is through data – and drawing. You’ve probably seen Mona’s illustrations on the internet. She’s known for interpreting data in a way that makes you GET it. In today’s episode, she explains how anyone could use analysis to answer their most personal questions – from whether or not to have a breakup to how many friends you should have. For the text transcript, visit go.ted.com/BHTranscripts