"Information is the resolution of uncertainty"
About this Quote
A century of mystique around "information" gets punctured in eight blunt words. Shannon refuses the romantic view of information as meaning, wisdom, or truth. He defines it as a measurable event: the moment uncertainty collapses into a known outcome. The sting is that this demotes most of what people call information into something colder and more mechanical. A love letter and a weather report can, in principle, carry the same "amount" of information if they reduce uncertainty by the same degree. Meaning is optional; surprise is the currency.
That’s the subversive genius of the line. It smuggles a philosophical claim into a technical definition: knowledge isn’t a sacred substance, it’s an update. Information isn’t what a message is about, but what it does to the receiver’s state of doubt. Shannon’s intent was pragmatic and foundational. Working at Bell Labs in the mid-20th century, he needed a way to engineer communication systems: how to encode messages, survive noise, compress signals, and still recover what was sent. You can’t optimize a feeling. You can optimize uncertainty.
The context matters because it explains the austerity. Shannon’s information theory emerges from a world of telephone lines, radio static, and wartime cryptography. "Resolution" is almost legalistic: ambiguity settled, the case closed. It’s also quietly political in today’s culture wars over data. If information is simply uncertainty reduced, then a flood of content can still be informationally empty if it clarifies nothing. The line anticipates our era’s problem: noise masquerading as knowledge.
That’s the subversive genius of the line. It smuggles a philosophical claim into a technical definition: knowledge isn’t a sacred substance, it’s an update. Information isn’t what a message is about, but what it does to the receiver’s state of doubt. Shannon’s intent was pragmatic and foundational. Working at Bell Labs in the mid-20th century, he needed a way to engineer communication systems: how to encode messages, survive noise, compress signals, and still recover what was sent. You can’t optimize a feeling. You can optimize uncertainty.
The context matters because it explains the austerity. Shannon’s information theory emerges from a world of telephone lines, radio static, and wartime cryptography. "Resolution" is almost legalistic: ambiguity settled, the case closed. It’s also quietly political in today’s culture wars over data. If information is simply uncertainty reduced, then a flood of content can still be informationally empty if it clarifies nothing. The line anticipates our era’s problem: noise masquerading as knowledge.
Quote Details
| Topic | Knowledge |
|---|---|
| Source | Claude Shannon, "A Mathematical Theory of Communication", Bell System Technical Journal, 1948 , commonly cited for the line "Information is the resolution of uncertainty". |
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