Charts Memes

So Markdown just casually went from "barely registering on the chart" to "I'm about to end Python's whole career" in like 2 years? Someone's clearly been feeding their README files steroids. The graph shows Markdown's popularity shooting up at a near-vertical angle around 2022, threatening to overtake every actual programming language on the chart. Plot twist: Markdown isn't even a programming language. It's a markup language. That's like saying Microsoft Word is competing with C++ because people write documentation in it. But hey, according to PYPL (PopularitY of Programming Language), apparently writing **bold text** and # headers now qualifies you as a software engineer. The real question: Did someone accidentally include every GitHub README, Stack Overflow post, and Discord message in their dataset? Because that's the only way this makes sense. Next year's chart will probably show HTML as the "hottest new programming language" with SQL making a surprise comeback as "the future of coding."

The chart itself is a masterclass in irony—a completely broken visualization about chart accuracy. Notice how the x-axis and y-axis don't even make sense together? That's the joke swallowing its own tail. Apparently, coding your visualization gives you a 74.9% chance of success if you think (but only 52.8% if you don't bother with that pesky thinking process). Meanwhile, GUI tools clock in at 69.1%, and "vibe charting"—that scientific approach where you just go with whatever looks pretty—nets you a solid 30.8%. The supreme irony? This chart about chart accuracy is itself a statistical abomination. Different categories on the x-axis, percentages that don't relate to each other, and a complete disregard for data visualization principles. It's like watching someone give a PowerPoint presentation about public speaking while tripping over their own shoelaces.