🔎浦东区 🔎普陀区 🔎闵行区 🔎静安区 🔎虹口区 🔎徐汇区 🔎长宁区 🔎黄埔区 🔎杨浦区 🔎外围上门~各类会所 🫂上海交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅杭州资源 ✅长沙资源 ✅南京资源 ✅武汉资源

Channel
上海911(认证榜)
@maokuanyou
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
63,546subscribers
+3,487 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001585814980 |
|---|---|
| Type | Channel |
| Username | @maokuanyou |
| Description | این |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/maokuanyou |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 18:53 | 63,546 | +586 |
| 14 Aug 2026, 04:18 | 62,960 | +495 |
| 13 Aug 2026, 00:37 | 62,465 | +581 |
| 11 Aug 2026, 21:32 | 61,884 | +517 |
| 10 Aug 2026, 23:31 | 61,367 | +351 |
| 9 Aug 2026, 20:21 | 61,016 | +371 |
| 8 Aug 2026, 18:10 | 60,645 | +586 |
| 7 Aug 2026, 19:17 | 60,059 | first reading |
Engagement
21 posts held, back to 6 August 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 24 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.16%
- avg views ÷ 63,546 subscribers
- Avg views / post
- 1,370
- 21 posts measured
- Reaction rate
- 0.072%
- reactions ÷ views · ER floor
- Posts in window
- 21
- of 21 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 9 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 21 (6 August 2026 – 16 August 2026) |
| Views total | 28,840 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 02:00 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.
What this channel posts
- Photos
- 288
- Videos
- 67
- Links
- 60
Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1m 17s
- Average length
- 10s
Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
9 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 100.0% |
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 9 of the 21 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 6 August 2026 to 16 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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❤3
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❤1
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❤1
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店名: #㊙️萝莉塔㊙️全方面服务 价位: #888 类型: #菀式 地址: #闵行 #杨浦 #浦东 📱📱📱📱 📱📱📱📱 🔥服务内容🔥 🔥鸳鸯戏水🛀 泡泡浴🧼抓🐲筋 手推➕胸推 漫游 采蜜 仙女🧚♀️偷🍑 ✈️✈️激情互动 深喉 会夹会吸🥰 裸吹 制服丝袜 高颜值 爱💖 🔣🔣🔣🔣🔣🔣🔣🔣🔣 🤣先海选*再体验*后付款 全程专业技师⚡️对⚡️(2对1)服务根据您的需求喜好私人定制专属项目与场景 🔣🔣🔣🔣🔣🔣🔣🔣🔣 在线营业 生活每天都是限量版 努力使每一天都开心而有意义 📱📱📱📱📱📱📱📱📱📱 🔥预约客服 @Asd77As17 🔥私信限制 @Shi42bot 🔥店铺链接 @zfhjvdgh345 🔔💯无套路、不办卡、没有任何隐型消费 🔔💯安全💯稳定💯可靠
❤1
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❤1
Showing the 12 most recent of 21 posts we hold for @maokuanyou. 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
Citation-graph rank — 253,468 of 1,481,217entries 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.
Mentions
Named by 7 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.
Names
Channels on the register whose handles appear in this channel's posts.
@anangao · 46,5705 posts上海修车911
@gaominM · 106,7525 posts武汉出击榜(先锋)
@haoyuane · 50,4985 posts广州911(认证榜)
@Hzxiaomo · 40,9865 posts杭州911(认证榜)
@loveyou6VV · 66,9905 posts上海911报告📮
@minminwao · 18,9305 posts深圳911(认证榜)
@Yuoyoutan · 71,1005 posts南京出击榜(先锋)
@zoudeyun · 53,6725 posts上海「 丝足阁 」-榜
@Ks253 · 6,7341 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@maokuanyou named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 11 August 2026 – 11 August 2026 · confirmed gone 14 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“上海911(认证榜)” (@maokuanyou), 63,546 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/maokuanyou.
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.