Burnout Is Down, But Doctors Are More Stressed Than Ever. Here's What's Actually Happening.
Physician burnout rates plummeted from 62.8% in 2021 to 41.9% in 2025, yet stress and anxiety among doctors have surged to pandemic-era peaks. The numbers reveal a hidden crisis.
Remote Work Burnout Beats the Office: Workers at Home Report 20% Higher Stress Than Commuters
Remote workers report 20% higher burnout risk than office commuters. The assumption that working from home improves work-life balance is backwards.
Bigger AI Models Forget Rare Facts: The Scaling Paradox That Breaks the 'More Data = Better' Rule
Larger language models actively forget knowledge smaller ones retain. A scaling paradox upends the assumption that more parameters always means better performance.
The Prosperity Paradox: Why the Economy Booms While You Feel Broke
GDP is up, unemployment is down, yet most Americans report worse financial stress. The trick: all the gains went to the wealthy, making aggregate statistics meaningless for ordinary people.
Simpson's Paradox: When Aggregate Data Lies Better Than the Truth
A drug can harm men and harm women separately, yet appear to save lives overall. This statistical trap has fooled researchers, hospitals, and policymakers for decades.
Why 23 Strangers Are Enough to Beat the Odds on Shared Birthdays
Your brain thinks you'd need hundreds of people in a room for two to share a birthday. Probability says 23 is enough. Here's why your intuition is hilariously off.
The Admission Paradox: How UC Berkeley Proved Its Own Innocence by Disaggregating the Data
UC Berkeley's admissions data revealed a shocking gender bias—until statisticians looked closer and found the exact opposite. A masterclass in why aggregate statistics can deceive.
Economists Have Been Systematically Wrong About Global Growth—and No One Knows Why
Since 2020, the world economy has beaten consensus forecasts by roughly 0.3 percentage points every year. The U.S. alone accounts for over 60% of the surprise. That's a lot of collectively wrong predictions.
Simpson's Paradox: How Your Data Can Be Right and Wrong Simultaneously
A trend can be true in every subgroup yet completely flip when you combine them. The math checks out both ways—here's why that's not actually magic.
Simpson's Paradox: The Trend That Vanishes When You Combine the Data
A statistical trend visible in every subgroup can completely reverse when you pool all the data together. It's not a math error—it's a fundamental quirk of how numbers aggregate.