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Update your prior. Watch Bayes' theorem stop being abstract.\n\nSignal \u0026 Noise is an interactive essay teaching Bayesian reasoning and probabilistic thinking through seven chapters of live, manipulable visualizations. Second-person narrative. No login. No download. Every concept is something you feel before you calculate.\n\n## Features\n\n- **Seven chapters** — medical diagnostics, radio telescope detection, election modeling, Bayesian belief revision, financial noise, courtroom reasoning, and model convergence\n- **Direct manipulation** — every visualization is a live control; drag priors, adjust thresholds, watch posterior distributions update in real time\n- **KaTeX equations** — inline math renders client-side without a build step\n- **Scroll animations** — Framer Motion reveal animations guide pacing through the narrative\n- **Static export** — fully pre-renderable; no server required after `npm run build`\n\n## Quick Start\n\n### Prerequisites\n- Node.js 18+\n\n### Installation\n```bash\nnpm install\n```\n\n### Usage\n```bash\n# Development\nnpm run dev\n\n# Static export\nnpm run build \u0026\u0026 npm run start\n\n# Type-check\nnpm run typecheck\n```\n\n## Tech Stack\n\n| Layer | Technology |\n|-------|------------|\n| Framework | Next.js 14 (static export) |\n| Language | TypeScript 5, strict mode |\n| Visualization | D3 v7 (math/scales; React owns DOM) |\n| Math | KaTeX 0.16 |\n| Animation | Framer Motion 11 |\n| Styling | Tailwind CSS 3 |\n\n## Architecture\n\nEach chapter is a React Server Component with client islands for interactive visualizations. D3 handles only scales and mathematical transforms — React owns the SVG DOM, preventing the classic D3/React DOM conflict. All seven chapters are statically exported at build time, making the essay hostable on any CDN with zero runtime infrastructure.\n\n## License\n\nMIT","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaagpatel%2Fsignal-noise","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsaagpatel%2Fsignal-noise","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsaagpatel%2Fsignal-noise/lists"}