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Welcome to Episode 1 of **“Learn Hanzi in 4 Steps”**—your beginner-friendly guide to understanding Chinese characters from the ground up! In this video, we’ll unlock the first four essential Hanzi: **一 (yī), 二 (èr), 三 (sān), and 十 (shí)**. We break down each character using our **4-Pillar Method**: 1️⃣ *Pinyin & Pronunciation* – Say them correctly with tone diagrams 2️⃣ *Radicals & Structure* – See how each character is built 3️⃣ *Stroke Order & Writing* – Learn to write them perfectly in a 田字格 4️⃣ *Context & Usage* – Use them in real-life sentences By the end, you’ll know how to say, write, and use these numbers in everyday Mandarin—from counting apples to telling time! 👉 *Homework:* Practice writing each character 10 times and share your phone number in Chinese characters in the comments! 📌 *Next Episode:* We’ll explore characters that look like what they mean: **人 (person), 口 (mouth), and 手 (hand)**. 🔔 Subscribe and hit the bell so you don’t miss the next step in your Hanzi journey! --- #LearnChinese #ChineseCharacters #Hanzi #MandarinNumbers #ChineseForBeginners #WriteChinese #StrokeOrder #Pinyin #ChineseTones #LearnHanzi --- *🕒 CHAPTERS:* 0:00 - Hook & Introduction 0:45 - Pillar 1: Pinyin & Pronunciation 1:46 - Pillar 2: Radicals & Deconstruction 2:45 - Pillar 3: Stroke Order & Writing 3:43 - Pillar 4: Context & Usage 4:24 - Recap & Integration 04:50 - Outro & Homework This educational video demonstrates Chinese character stroke order using open-source data from the Hanzi Writer project (MIT License), based on character designs extracted from fonts by Arphic Technology (Arphic Public License). The animations were manually created and edited by the author. While care has been taken to follow standard stroke order conventions (as used in mainland China), viewers are encouraged to consult official educational resources for academic or certification purposes. This content is not affiliated with, endorsed by, or related to Hanzi Writer or Arphic Technology. Hanzi Writer – Copyright © 2014 David Chanin. Licensed under the MIT License: https://opensource.org/licenses/MIT Character stroke data sourced via Hanzi Writer (https://hanziwriter.org), which uses data from the Make Me A Hanzi project (https://github.com/skishore/makemeaha.... Glyph data originally from Arphic Technology Co., Ltd. Used under the Arphic Public License: https://raw.githubusercontent.com/cha... Audio for pinyin pronunciation and narration was generated using text-to-speech (TTS) technology. Pinyin and meanings verified using standard linguistic references and AI-assisted tools. This video contains images and video generated with AI tools Qwen AI and Grok AI