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Evil is Rare, Folly is Common: Hanlon’s Razor

May 15, 2026 By Nagesh Belludi Leave a Comment

A driver cuts you off. Your spouse doesn’t reply for hours. Your teenager walks past without a word. Your sister won’t confirm if she’s coming to your party until the last minute. The instinct is immediate: something is wrong, and it’s directed at you. Almost certainly, it isn’t.

Evil Is Rare, Folly Is Common: Hanlon's Razor That instinct has a name. Hanlon’s Razor, coined by Robert J. Hanlon in a collection of Murphy’s Law epigrams, states: Never attribute to malice that which is adequately explained by stupidity. In practice, “stupidity” usually means distraction, exhaustion, or oversight. The razor cuts away the assumption of ill intent and leaves the simpler truth: people are overwhelmed, not unkind.

It works much like Occam’s Razor. Where Occam removes unnecessary complexity, Hanlon removes unnecessary malice. Both push you toward the cleaner explanation.

The malice trap also reflects the Spotlight Effect. Assuming someone ignored you on purpose is casting yourself as the main character in their story. They’re not thinking about you. They’re too busy managing their own anxieties to orchestrate a slight against yours. You’re not being targeted—you’re being overthought by yourself.

And that overthinking has a cost. Nursing a suspected betrayal is exhausting. Forgiving an oversight costs almost nothing.

Idea for Impact: Before you assume intent, assume chaos. Most slights aren’t calculated. Forgiveness extended for something assumed is far cheaper than suspicion carried for something imagined.

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Filed Under: Effective Communication, Living the Good Life, Mental Models Tagged With: Biases, Interpersonal, Mental Models, Psychology, Relationships, Social Dynamics, Thinking Tools

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About: Nagesh Belludi [hire] is a St. Petersburg, Florida-based freethinker, investor, and leadership coach. He specializes in helping executives and companies ensure that the overall quality of their decision-making benefits isn’t compromised by a lack of a big-picture understanding.

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