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Channel
某咕咕的 机场 & VPN 测评站
@MiaoMiaoGuGa
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
10,277subscribers
+4,813 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003986153551 |
|---|---|
| Type | Channel |
| Username | @MiaoMiaoGuGa |
| Created | Between 1 April 2026 and 26 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 24 September 2026 |
| On Telegram | t.me/MiaoMiaoGuGa |
Topic
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Sept 2026, 21:01 | 10,277 | +1,670 |
| 16 Sept 2026, 15:37 | 8,607 | +358 |
| 12 Sept 2026, 16:00 | 8,249 | +473 |
| 8 Sept 2026, 06:18 | 7,776 | +53 |
| 3 Sept 2026, 09:13 | 7,723 | +31 |
| 31 Aug 2026, 12:14 | 7,692 | +210 |
| 28 Aug 2026, 05:53 | 7,482 | +31 |
| 25 Aug 2026, 05:39 | 7,451 | +66 |
| 22 Aug 2026, 12:45 | 7,385 | +68 |
| 18 Aug 2026, 22:35 | 7,317 | +30 |
| 15 Aug 2026, 19:28 | 7,287 | +79 |
| 12 Aug 2026, 19:37 | 7,208 | +93 |
| 10 Aug 2026, 05:01 | 7,115 | +1,643 |
| 7 Aug 2026, 09:32 | 5,472 | +8 |
| 6 Aug 2026, 21:16 | 5,464 | first reading |
Engagement
20 posts held, back to 26 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 13 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.19%
- avg views ÷ 10,277 subscribers
- Avg views / post
- 534
- 2 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 2
- of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 20 (26 July 2026 – 28 August 2026) |
| Views total | 1,067 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 22:30 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
40 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 55.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👎 | 22 | 55.0% | |
| ❤ | 13 | 32.5% | |
| 👍 | 2 | 5.00% | |
| 😁 | 1 | 2.50% | |
| 🤨 | 1 | 2.50% | |
| 🤮 | 1 | 2.50% |
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 13 of the 20 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 July 2026 to 28 August 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.
Recent posts
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👍1
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✈️名称: Lumina ✈️官网: https://luminak.net/?token=lumina ✈️频道: https://t.me/lumina_one1 ✈️群组: ✈️开业时间: 2026.4 🚀测速节点: 广州电信、佛山联通、广州移动 ✈️机场类型: 专线机场 直连机场 ✈️机场线路: #广州腾讯云 ✈️节点类型: AnyTLS VLESSReality SS 优惠码 #专线机场 #直连机场 #AnyTLS #VLESSReality #SS #新疆支持 个人总结 该机场开业至今仅4个月,但入口配置较为完善: 以 Sakura、Gomami、Xtom优化直连线路为主力,另配备两条广州腾讯云公有云专线,形成直连 + 专线的双通道架构。实测结果显示,三网速度表现均衡,日常场景无压力,流媒体解锁与 AI 服务访问亦表现适中,套餐方面梯度划分较为细致,用户可按需选择,本次测评选用 Prem…
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👎1
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❤3👎1
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👎2👍1
Showing the 12 most recent of 20 posts we hold for @MiaoMiaoGuGa. 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.
Posts edited after publishing
@MiaoMiaoGuGa edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 28 August 2026
- Most recent edit
- 28 August 2026
Mentions
Named by 17 registered channels — 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.
@CNSmydream · 13,2935 posts折腾啥
@zhetengsha · 49,2694 posts飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 61,8562 posts万卷书屋/小说推荐/禁忌书屋
@wanjsw · 220,2272 postsTG-频道精选
@zh_secretary · 110,3132 posts某咕咕的 机场 & VPN 测评站
@AAAMouGuGuVPN2026 · 4,3751 postAppinn Feed|小众软件
@appinnfeed · 33,3611 post大聪明 破解软件分享频道
@dcmpj · 41,4981 post爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 9,2541 post朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 49,7681 post App Store 限免应用 & ...
@ooapps · 9,9101 post浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 45,6251 post115影视资源分享频道
@QukanMovie · 30,5351 post书墨资源
@shumozy · 20,7691 post日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 22,2581 post纸鸢分享社-破解软件|游戏分享
@zhiyuanfxs · 87,2871 post资源分享客栈-Applnn
@zyfxlnn · 32,4691 post
Names
Channels on the register whose handles appear in this channel's posts.
@dashbitTel · 3074 posts频道索引&推荐
@recommend3 · 106,8494 postsEasyCloud丨通知
@EasyCloudNOC · 3191 post浮云网络通知频道
@FurinaCloud_Notice · 1361 post富通支付 资金加速器
@futoonchat · 2,7581 postFutoon docs
@futoondocs · 2781 postFutoon Pay
@futoonpaychannel · 9531 post良心云
@liangxin_yun · 8,5611 post良心云(诚招AFF)
@liangxinyun_chat · 39,6551 post鲤云频道
@liyun168 · 4301 postLumina(流明/鲁米娜)官方通知频道🚀
@lumina_one1 · 1,0571 postNowhere Official Channel
@nowherenet_channel · 9911 postnvenix云机场通知群
@nvenix · 2011 postQi 【启】频道
@qijsqyes · 1,2001 postTK集库
@tkjiku · 24,6471 post影子传话筒
@yingziyyds · 1,1801 post
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.
Cite this entry
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 24 September 2026 — this entry's latest reading, not the date you are reading this.
“某咕咕的 机场 & VPN 测评站” (@MiaoMiaoGuGa), 10,277 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/MiaoMiaoGuGa.
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.