Channel
@TGChinaGuide
On this record: Growth · Engagement · Posts · Citations · Cite this entry
2,150subscribers
-13 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001373587801 |
|---|---|
| Type | Channel |
| Username | @TGChinaGuide |
| Created | Between 1 March 2018 and 3 March 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/TGChinaGuide |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:38 | 2,150 | -7 |
| 10 Aug 2026, 05:26 | 2,157 | -7 |
| 6 Aug 2026, 23:30 | 2,164 | +1 |
| 6 Aug 2026, 14:03 | 2,163 | first reading |
15 posts held, back to 3 March 2020 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 14 February 2025. An engagement rate over an empty window would be a number about nothing.
iOS第三方Telegram客户端 #Nicegram 内含病毒，如有安装记得卸载 卡巴斯基发现大量应用内含恶意SDK，窃取加密货币钱包信息 2025年2月5日 —— 卡巴斯基实验室近日发布安全报告，揭示 Google Play 和 Apple App Store 上多款应用内含恶意SDK “ #SparkCat ”，该SDK可窃取 加密货币钱包 助记词 和 恢复密钥 ，进而盗取用户资产。这是首次在 iOS 平台 发现利用 OCR 光学识别 技术窃取加密钱包信息的恶意应用。 恶意SDK的攻击方式 1. 用户安装受感染应用后，应用会扫描屏幕上的加密钱包助记词或恢复密钥。 2. 通过 OCR 技术识别并提取关键信息。 3. 通过黑客控制的服务器将数据发送出去（C2 服务器域名仿冒 阿里云 aliyung[.]com / aliyung[.]org）。 4. 攻击者利用窃取的数据恢复用户钱包并 清空资产。
再次科普一下，tg怎么搜索，看上面三个方法
苹果端进去频道资料页或者群资料页，点更多就能搜索
安卓端就进去频道或者群，点右上角的三个点就可以搜索
电脑端在频道(群)的右上角放大镜图标，点击就能搜索
警惕虚假消息，保护账号安全！ 目前Telegram上的分子还会通过虚假伪装的官方账号去私聊你，一般会使用一些 “官方提示”、“安全中心”、“安全提示”、“tellegram” 等等这一些虚假账号去私聊，然后用中文提示你的tg账户不安全，然后给链接或者按钮你点，实现盗取你的账户 首先使用的tg的要明白，tg官方没有任何中文提示，官方也不会使用中文提示，看到这些中文提示请直接拉黑举报处理，官方仅有和唯一的安全机器人是 @SpamBot
警惕虚假消息，保护账号安全！ 目前Telegram上有不法诈骗分子利用中文群组散布谣言，企图诱骗网友点击假冒的“解除私聊限制机器人”以窃取账号信息。 请大家提高警惕，不要轻信陌生人的信息，不要随意点击可疑的链接，不要泄露自己的账号密码验证码等敏感信息。 如果看到有人发布虚假消息，请尽量及时举报和提醒！ ⚠️特别注意： @SpamBot 才是Telegram解除私聊限制的唯一官方机器人！！！
特别提醒： 最近出现了所谓的，免翻墙中文版的TG（telegram），经由测试后，发现暗藏后门，存在劫持数据和修改关键数据的情况，原理就是把你要发的关键数据，例如银行卡号、USDT收款账号等，修改后再发给对方。 在此提醒，一定要去官网下载telegram，TG也没有任何的中文网站 https://telegram.org/
科普一个telegram小知识： 提醒各位使用tg的时候，短时间不要点太多的tg群链接和频道链接，不然tg官方会认为你是恶意加群，限制你24小时，这24小时内你点任何tg的群链接和频道链接都只会显示转圈圈无法显示，24小时后自动恢复 再提示一下，被限制之后就不要再点任何tg上面的群和频道链接了，因为tg是从你最后一次点链接的时候开始限制24小时的，如果手贱再点了，那么24小时的时间就开始重新计算了
请telegram用户使用telegram官方客户端，切忌使用任何第三方修改版客户端，包括但不限于tg中文版，tg免翻版 部分第三方客户端会识别消息中的 USDT 链上地址并自动替换成其他人的地址 请用户在进行涉及 USDT 的交易时，同时发送文本内容及对应地址截图，保证自身资产安全
重点提示：目前tg上有不少团伙通过私聊发送病毒木马文件给到个人，而如果你没有关闭tg的自动下载，就会自动把该病毒木马文件保存到你本地，特别是电脑上的客户端，更是容易感染，请跟随本教程把你tg上的自动下载关闭掉，手机端也是同样的操作方式，只需要在 设置 里面的 高级 找到 自动下载 把里面的 私聊、群组、频道 都设置好，统统不要自动下载文件
tg群提问技巧，请认真学习！
Showing the 12 most recent of 15 posts we hold for @TGChinaGuide. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 863,318 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Telegram中文新手指南” (@TGChinaGuide), 2,150 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/TGChinaGuide.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.