Numbers during a pandemic hit you like a firehose. They pour out of headlines, push notifications, and social feeds, usually stripped of context and loaded with urgency. The problem isn’t a shortage of data. It’s that most of us never…
How to Track COVID-19 Data Without the Hype: A Sensible Guide
Why the Numbers Matter More Than the Headlines I spent the early months of the pandemic glued to dashboards, refreshing every few minutes, convinced that the latest case count held some urgent truth. It didn’t. A single-day spike often meant…
How to Track Pandemic Data Without the Sensationalism
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…