Why Most Pandemic Dashboards Overwhelm Instead of Informing When COVID-19 first swept the globe, a strange new pastime took hold: watching the numbers. Dashboards, graphs, and real-time counters became daily obsessions. But for plenty of people, the flood of data—case…
What Happened When We Fed State Unemployment Data to an AI Script Generator
Every data journalist knows the moment. You have a clean dataset, a clear chart, and a finding worth sharing. Then comes the hard part: building a narrative that respects the numbers without turning them into a bedtime story. The temptation…
The Arithmetic of Misunderstanding: Why Averaging the Wrong Data Leads Us Astray
Numbers feel clean. A single figure—an average, a mean, a typical value—promises to cut through the noise and give us something solid to hold onto. But that promise is often a trap. When we average data that was never meant…
The Problem With Averaging Data That Should Not Be Averaged
We love a simple number. One figure that can wrap up a spreadsheet, a trend, a person, a policy. The average is the tool we grab first. It feels fair, sanding down the extremes into a comfortable middle. But that…
The Hidden Danger of Averaging Data That Shouldn’t Be Averaged
We’ve all done it. You’ve got a column of numbers, someone asks for a quick summary, and you reach for the arithmetic mean. It’s the default move—add everything up, divide by the count, and call it a day. But here’s…
The Hidden Danger of Averaging Data That Should Never Be Averaged
Numbers have a way of seducing us. They promise clarity, precision, a neat path through the mess. But there’s a quiet, stubborn error that slips into reports, dashboards, and news headlines more often than anyone wants to admit: averaging data…
How to Read a Federal Budget Proposal Without Getting Lost
Jerome Leland here. If you’ve ever opened a federal budget proposal, you know the feeling—staring at thick volumes, tables that sprawl across pages, sentences that seem built to conceal rather than explain. It’s not a single number or a tidy…
Why Housing Market Data Varies Wildly by Region
National housing statistics have a way of sounding like they were written for a country that doesn’t actually exist. A headline says home prices rose 5% nationwide, and somewhere in Ohio a buyer nods along while a seller in Boise…
Why Data Journalists Need Better Design Standards
Data journalism occupies a tense intersection. On one side, reporters hunt down and analyze complex information. On the other, they have to present it to readers already drowning in numbers. In a lot of newsrooms, design gets treated like an…
The Problem With Truncated Y-Axes in Political Charts
Political charts are inescapable. They flash across cable news segments, fill social media feeds, stuff campaign mailers, and prop up arguments in congressional hearings. The promise is simple: take a messy dataset—unemployment figures, deficit projections, polling swings, GDP growth—and make…