突发性网络故障,正在紧急修复。
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Channel
@miandaili
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,703subscribers
-346 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002205225327 |
|---|---|
| Type | Channel |
| Username | @miandaili |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 7 October 2026 |
| On Telegram | t.me/miandaili |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Oct 2026, 18:21 | 1,703 | -9 |
| 30 Sept 2026, 22:20 | 1,712 | +21 |
| 16 Sept 2026, 00:58 | 1,691 | -48 |
| 11 Sept 2026, 21:57 | 1,739 | -8 |
| 7 Sept 2026, 13:37 | 1,747 | -13 |
| 2 Sept 2026, 17:04 | 1,760 | -42 |
| 30 Aug 2026, 14:25 | 1,802 | -34 |
| 27 Aug 2026, 10:57 | 1,836 | +6 |
| 24 Aug 2026, 00:37 | 1,830 | -6 |
| 20 Aug 2026, 15:02 | 1,836 | -47 |
| 17 Aug 2026, 12:13 | 1,883 | -46 |
| 14 Aug 2026, 10:37 | 1,929 | -66 |
| 10 Aug 2026, 19:37 | 1,995 | -35 |
| 8 Aug 2026, 03:32 | 2,030 | -19 |
| 7 Aug 2026, 06:16 | 2,049 | first reading |
16 posts held, back to 2 November 2025 — 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 pages of 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 16 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
50 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 40.0% | |
| 🖕 | 15 | 30.0% | |
| 💩 | 7 | 14.0% | |
| 🤣 | 3 | 6.00% | |
| 👍 | 1 | 2.00% | |
| 👎 | 1 | 2.00% | |
| 👏 | 1 | 2.00% | |
| 😁 | 1 | 2.00% | |
| 🤡 | 1 | 2.00% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 11 of the 16 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 50 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 2 November 2025 to 31 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
突发性网络故障,正在紧急修复。
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由于我们专线侵扰了一些同行的利益,所以最近一直在蓄意报复。但是请大家放心,我们会抵抗住所有想要攻击的人。 目前服务处于可用状态。 如果机器人不可用时候,可以联系客服:@tgzxdlkfsbot 🔡专业的事情就交给专业的人做。官方代理我们是专业的! #专线代理 #梯子 #机场 🔡🔡 官方专线代理机器人:@tgzxdaili_bot
正在遭受攻击,我们正在处理。 恢复了
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为什么我推荐使用TG专用代理。 先科普一下,你访问TG需要几个步骤,1.从DNS服务商获取telegram.org的访问IP。->2.再访问telegram.org->再开始使用TG。 你访问任何网络,都需要从DNS供应商获取,那么不管你获取海外DNS还是获取国内DNS。由于大部分人使用的都是明文的DNS。所以就算你使用海外DNS,运营商也能知道你在访问哪些域名。 自查是否用的加密DNS👉 :https://1.1.1.1/help (基本上都是普通DNS) 所以这么多人被抓,大部分人从第一步就已经被运营商知道了,现在由于你们用的梯子是直连,所以第二步也会被防火长城识别。 所以你现在访问TG安全吗? 那么为什么推荐用专用代理!用官方代理之后,你的设备不需要知道TG的域名,也不会访问任何TG的信息。都是通过我们的国际专线来访问。运营商只能看到一段堪比银行级别的多重加密数据访问另外一个IP。 🔡专业的事情就交给…
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参考文章: 中国新一代监控工具借力AI:已监控7000万Telegram账户、可自动检测翻墙行为 Telegraph | 原文 由于你是通过直接访问海外服务器,告诉服务器帮我访问telegram,所以理论上都能从中截获,知道你在访问飞机。甚至通过自动检测监控。能得知你在用什么。 正是因此,很多人被最近的直连抓了现行。 但是你如果用专线代理,那么由于你没有出海记录,而且还是双向军工加密,所以没人知道你访问的是什么。更不知道你在使用Telegram 这才是为什么这么多人选择我们的原因。 🔡专业的事情就交给专业的人做。官方代理我们是专业的! #专线代理 #梯子 #机场 🔡🔡 官方专线代理机器人:@tgzxdaili_bot
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为什么越来越多人开始换“专线”? 先看看图片的三种连接方式。现在只有三种方式翻墙。 先是直连,基本上就是你直接访问海外网络。虽然便宜,但是网速差/稳定性差/晚高峰更差,而且还有可能会被防火长城知道你在访问哪些网站(基本上被抓的都是这一批)。你的IP还有可能会被反向墙(最严重,以后你的IP都不能可能翻墙了)。 普通中转线路,现在基本上以及没有了。从四月开始,国家正在全力打击国际网络。所以你的机场要么专线,要么直连。 那为什么选择专线,因为专线晚高峰保持稳定,稳定性更高,延迟更低,高峰更稳。 已经有网络给我投稿说被监听的记录了。待会发给你们。 🔡专业的事情就交给专业的人做。官方代理我们是专业的! #专线代理 #梯子 #机场 🔡🔡 官方专线代理机器人:@tgzxdaili_bot
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我们国际专线,都是5G口带宽,大家放心跑。专业渠道,专业数据加密,人家都拔线,我们正常运转。这就是军工级数据加密和普通梯子的区别。没有对比就没有伤害 🔡专业的事情就交给专业的人做。官方代理我们是专业的! #专线代理 #梯子 #机场 🔡🔡 官方专线代理机器人:@tgzxdaili_bot
❤1🖕1🤡1
接下来的机场只会更严峻。机场倒闭潮还在继续,跑路的机场老板还在等待,不要使用直连海外的机场,有很大的条子警告风险。 #专线代理 #梯子 #机场倒闭 官方专线代理机器人:@tgzxdaili_bot
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全网最大的机场,快连也宣布倒闭。现在没有一个机场能够确保不跑路。我们TG官方代理,不是机场,还有军工级加密。不存在不能用的情况。
机场圈正在大批量跑路,如果你正在使用机场,可能需要2-3个备用机场,才能保证你不会失联。而且现在机场都是让你一直访问还在服务器,你还还有可能会被国家反墙,就算能用,也卡的要死。 但是使用专线代理,不存在失联。也不存在反墙。就和人在境外一样。关闭梯子就能用TG 官方专线代理机器人:@tgzxdaili_bot
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刚刚由于国际线路出现故障,导致三个小时无法使用,现在已经全线恢复。
互联网一搜机场,大把大把的机场倒闭。这次的动荡影响了全部机场。 这场机场拔线事件,是龙国对机场下达的最后通牒。这次事件还未结束,每天都有国内服务器拔线。 你如果没有一个TG专线代理,可能随时面临着TG失联风险。这次事件需要正在用TG的所有人重视起来。 自助下单机器人:@tgzxdaili_bot
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Showing the 12 most recent of 16 posts we hold for @miandaili. 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.
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.
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“Telegram官方专线代理” (@miandaili), 1,703 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/miandaili.
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.