{"component":{"type":17,"accent_color":7315445,"components":[{"type":10,"content":"-# WikiRNG · Roll of 10/28/2026 · by [koopa4life](https://wikirng.com/u/koopa4life)"},{"type":10,"content":"## [Gibbs' inequality](https://wikirng.com/roll/TxH47BGLkt)\n*Statement in information theory*"},{"type":10,"content":">>> In information theory, Gibbs' inequality is a statement about the information entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs' inequality, including Fano's inequality. It…"},{"type":14,"divider":true,"spacing":1},{"type":10,"content":"### 🟦 Obscure · 95,377 SP\n-# Top 21%"},{"type":10,"content":"*It was a statement on probability.*"},{"type":14,"divider":true,"spacing":1},{"type":10,"content":"🟦 ∑ **Problem Set** · Obscure · +49,647 SP\n-# Has 20+ math formulas.\n🟦 🧮 **Equation** · Obscure · +17,515 SP\n-# Has a math formula.\n🟦 ⚖️ **Fair Trade** · Obscure · +12,853 SP\n-# Exactly as many links in as links out (10+).\n🟩 🗣️ **All Talk** · Notable · +5,368 SP\n-# Its talk page is bigger than the article.\n🟩 ✍️ **Apostrophe** · Notable · +3,117 SP\n-# Title has an apostrophe.\n🟩 🔣 **Footnote to a Footnote** · Notable · +1,569 SP\n-# Has explanatory notes.\n-# +12 more badges"},{"type":14,"divider":true,"spacing":1},{"type":1,"components":[{"type":2,"style":5,"label":"View roll","url":"https://wikirng.com/roll/TxH47BGLkt"},{"type":2,"style":5,"label":"Read on Wikipedia","url":"https://en.wikipedia.org/wiki/Gibbs'_inequality"}]},{"type":10,"content":"-# Article text from Wikipedia, CC BY-SA 4.0"}]}}