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Shannon Entropy Explained

H = −Σ p log p measures information surprise — and sets limits on compression and communication.

7 min read · 2026-06-11

Claude Shannon defined entropy for messages in 1948. More unpredictable data carries more bits per symbol; redundant data compresses further.

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