Happy Sunday – and happy Mother’s Day to all the moms and grandmothers! Welcome to the best of The Conversation.

First, here are some of our recently published Mother’s Day stories:

This week’s most popular story takes on the notion that the least skilled people overestimate their abilities more than anyone else. It’s an idea that entered popular culture based on research by psychology professors David Dunning and Justin Kruger in the 1990s.

The author of the piece is mathematician Eric C. Gaze, who teaches students at Bowdoin College to use data to make informed decisions. He takes us through the original research that seemingly demonstrated what is known as the “Dunning-Kruger effect” – and why his work may reveal some shortcomings in those original findings.

Later this week, we’ll bring you new research about the cost of COVID-19 on the U.S. economy, changes to breast cancer screening guidelines and South Korea’s gender wars.

Emily Costello

Managing Editor

Readers' picks

David Dunning and Justin Kruger tested psychology students to see whether the least skilled were also the most unaware. Rich Vintage/E+ via Getty Images

Debunking the Dunning-Kruger effect – the least skilled people know how much they don’t know, but everyone thinks they are better than average

Eric C. Gaze, Bowdoin College

The idea that the least skilled are the most unaware of their incompetency is pervasive in science and pop culture. But a new analysis of the data shows that the Dunning-Kruger effect may not be true.

Editors' picks

Facial recognition software misidentifies Black women more than other people. JLco - Ana Suanes/iStock via Getty Images

I unintentionally created a biased AI algorithm 25 years ago – tech companies are still making the same mistake

John MacCormick, Dickinson College

One researcher’s experience from a quarter-century ago shows why bias in AI remains a problem – and why the solution isn’t a simple technical fix.

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