<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>概率 on Blog</title><link>https://icelemon.top/tags/%E6%A6%82%E7%8E%87/</link><description>Recent content in 概率 on Blog</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Mon, 19 Oct 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://icelemon.top/tags/%E6%A6%82%E7%8E%87/index.xml" rel="self" type="application/rss+xml"/><item><title>德国坦克问题：从几个编号估计看不见的总数</title><link>https://icelemon.top/knowledge/german-tank-problem/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/german-tank-problem/</guid><description>最大编号提供一个下限，抽样模型帮助估计下限之外还藏着多少。</description></item><item><title>运气的形状，怎样被算出来</title><link>https://icelemon.top/knowledge/shape-of-luck/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/shape-of-luck/</guid><description>一次结果难以预知，许多可能结果的结构却可以计算。</description></item><item><title>真正的随机，为什么看起来不够随机</title><link>https://icelemon.top/knowledge/what-randomness-looks-like/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0800</pubDate><guid>https://icelemon.top/knowledge/what-randomness-looks-like/</guid><description>偏爱的数字、连续的硬币与重复的歌单，揭示了直觉和随机模型的距离。</description></item></channel></rss>