Putting Information Theory to Work
Apply information theory: Entropy measures surprise and uncertainty. High entropy is informative, low is predictable. Remove redundancy, prioritize signal.
All articles tagged with "Clarity"
Apply information theory: Entropy measures surprise and uncertainty. High entropy is informative, low is predictable. Remove redundancy, prioritize signal.
Apply communication theory: senders encode messages, receivers decode them with different interpretations. Anticipate misunderstandings by checking meaning.
Learn practical techniques for explaining complex concepts clearly to audiences with different levels of expertise.
Learn how the ladder of abstraction helps you move between concrete details and abstract concepts for clearer communication.
Learn practical techniques for explaining complex concepts clearly to audiences with different levels of expertise.
Clarify commonly confused cognitive and thinking terms with precise distinctions that sharpen your understanding and communication.
Clarify commonly confused decision-making terminology with precise definitions and examples of correct usage.
Understand why communication fails—from encoding problems to context mismatches, learning common breakdown points and how to prevent them.
Put main point upfront—don't bury the lead. Use concrete examples. Define jargon. Check audience understanding through questions.
Signal is information that matters; noise is everything else. Good communication maximizes signal and minimizes noise to focus attention on what counts.
Great communicators use simple words, concrete examples, clear structure, and remove unnecessary complexity to ensure their message is understood.