Spot This Sneaky Argument Before You Fall for It

In 2012, writer Scott Alexander described what he called the worst argument in the world. It happens when you take a broad category—like 'criminal'—and use its bad reputation to criticize someone who only technically fits that category. Martin Luther King Jr. broke a segregation law, so he was a criminal in a narrow sense. But that label makes him sound like a bank robber, even though he broke the law on purpose to protest injustice. Alexander's point: we should judge people by their actual behavior, not by sweeping categories.

This same trick shows up in technology debates, especially around artificial intelligence. For example, someone might say, 'AI is just a machine that follows rules'—and then use that to dismiss a creative AI that produces original art. Or they might call a facial recognition tool 'surveillance' and ignore the fact that it's used to find missing kids. The label isn't wrong, but it carries emotional baggage that distorts the real picture.

Why does this matter to you? Because companies, politicians, and even friends use this shortcut to persuade you. When you hear a big generalization—'AI is dangerous,' 'AI is just math,' 'AI will take your job'—pause and ask: is the thing they're describing actually central to that category, or is it a special case? Are they using the category to make you feel something rather than to inform you?

The cure is simple: focus on specific details, not labels. King's crime was breaking an unjust law; that's different from robbing a bank. An AI's behavior depends on how it's built and used, not on the word 'AI.' Once you separate categories from context, it's much harder for weak arguments to sway you.