{"author_url":"https://blog.hatena.ne.jp/chaos_kiyono/","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","height":"190","blog_title":"Ken-Chaos\u2019s Random Notes on R","author_name":"chaos_kiyono","blog_url":"https://chaos-r.hatenadiary.jp/","version":"1.0","url":"https://chaos-r.hatenadiary.jp/entry/2026/02/06/213636","description":"In the 17th and 18th centuries, probability theory was still young. It began as \u201cgambling math,\u201d but it gradually revealed something deeper: when you repeat simple random trials many times, the distribution of the total often approaches a smooth, bell-shaped curve. Abraham de Moivre was one of the f\u2026","title":"The Story of the Central Limit Theorem: Why Do Many Causes Converge to One Shape?","type":"rich","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/chaos_kiyono/20221019/20221019141419.gif","width":"100%","categories":["Basics of the Normal Distribution"],"published":"2026-02-06 21:36:36","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchaos-r.hatenadiary.jp%2Fentry%2F2026%2F02%2F06%2F213636\" title=\"The Story of the Central Limit Theorem: Why Do Many Causes Converge to One Shape? - Ken-Chaos\u2019s Random Notes on R\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>"}