🔎岳麓区 🔎芙蓉区 🔎天心区 🔎开福区 🔎雨花区 🔎望城区 🔎外围上门~各类会所 🫂长沙交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅上海资源 ✅杭州资源 ✅南京资源 ✅武汉资源

Channel
长沙911(认证榜)
@anangao
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
46,570subscribers
+2,465 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 | -1001786287115 |
|---|---|
| Type | Channel |
| Username | @anangao |
| Created | Between 1 December 2021 and 30 April 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 | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/anangao |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 16:45 | 46,570 | +532 |
| 14 Aug 2026, 07:25 | 46,038 | +496 |
| 13 Aug 2026, 01:18 | 45,542 | +426 |
| 12 Aug 2026, 04:15 | 45,116 | +217 |
| 11 Aug 2026, 05:01 | 44,899 | +244 |
| 10 Aug 2026, 04:28 | 44,655 | +233 |
| 9 Aug 2026, 01:21 | 44,422 | +244 |
| 8 Aug 2026, 01:24 | 44,178 | +73 |
| 7 Aug 2026, 19:17 | 44,105 | first reading |
Engagement
18 posts held, back to 24 February 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 23 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.64%
- avg views ÷ 46,570 subscribers
- Avg views / post
- 1,700
- 8 posts measured
- Reaction rate
- 0.041%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 18 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 2 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 18 (24 February 2025 – 15 August 2026) |
| Views total | 13,574 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:26 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
- Video runtime
- 21s
- Average length
- 11s
Measured directly from 2 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
20 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 75.0% | |
| 👍 | 2 | 10.0% | |
| 👏 | 1 | 5.00% | |
| 😁 | 1 | 5.00% | |
| 🤔 | 1 | 5.00% |
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 18 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 24 February 2025 to 15 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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🔎岳麓区 🔎芙蓉区 🔎天心区 🔎开福区 🔎雨花区 🔎望城区 🔎外围上门~各类会所 🫂长沙交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅上海资源 ✅杭州资源 ✅南京资源 ✅武汉资源
🔎岳麓区 🔎芙蓉区 🔎天心区 🔎开福区 🔎雨花区 🔎望城区 🔎外围上门~各类会所 🫂长沙交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅上海资源 ✅杭州资源 ✅南京资源 ✅武汉资源
🔎岳麓区 🔎芙蓉区 🔎天心区 🔎开福区 🔎雨花区 🔎望城区 🔎外围上门~各类会所 🫂长沙交流群 📮修车报告 👇下面其它地方资源👇 ✅深圳资源 ✅广州资源 ✅上海资源 ✅杭州资源 ✅南京资源 ✅武汉资源
株洲真空 全裸商k找学长不迷路 商K的正确玩法 很多兄弟问我商K怎么玩? 我总结三点: 1.要有耐心,没有选到合适的演员之前就一直选,很多老司机都是在走廊上等那种微醺的,或者自己特别喜欢的。 2.就是一定要有趣,演员坐下来了就应该开开玩笑,不要放不开,大半夜出来玩有什么放不开的。 3.就是下手要快,看到自己喜欢的马上果断拿下,你现在不拿下过一会儿就是别人的。 欢迎补充! 学长微信:19217349872[同号] 学长电报:@mmc1199 株洲商K频道:https://t.me/xs3439
❤2
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👍1
✅全国低中高端外围✅ https://t.me/vuvvvvvvvvv
✅全国低中高端外围✅ https://t.me/vuvvvvvvvvv
👏1
【艺名】: #优优 【地址】: #雨花区 【联系】: @Qok668 【频道】: https://t.me/Qkyouyou 👇下面评论区留言👇
❤1😁1
✅全国低中高端外围✅ https://t.me/vuvvvvvvvvv
✅全国低中高端外围✅ https://t.me/vuvvvvvvvvv
❤2🤔1
Showing the 12 most recent of 18 posts we hold for @anangao. 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 — 265,225 of 1,480,688entries 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 8 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.
@gaoxianoo · 25,3609 posts长沙修车911
@gaoxianss · 63,8089 posts武汉出击榜(先锋)
@haoyuane · 50,3249 posts广州911(认证榜)
@Hzxiaomo · 40,9869 posts杭州911(认证榜)
@loveyou6VV · 66,3669 posts上海911(认证榜)
@maokuanyou · 63,5469 posts深圳911(认证榜)
@Yuoyoutan · 70,5119 posts南京出击榜(先锋)
@zoudeyun · 53,6729 posts惠州大学城(修车)
@ccxsxs · 35,1031 post福建(福州厦门泉州)大群
@dazzqq · 35,2011 post郑州修车(交流)
@gggu_u · 34,5371 post南京(夜游)
@ii88_8 · 34,8661 post桂林学生会〠修车
@qqqm_m · 34,0511 post长沙师范大学(修车)
@soso6se · 30,9581 post无锡快活林(修车)
@uvogg · 33,3061 post常州修车学院✞
@uvoww · 32,9941 post东莞理工学院
@w88_88 · 34,9281 post西安修车学院
@ww66tt · 33,3651 post长沙夜猫必吃榜
@xoxo6xe · 12,2201 post株洲 长沙 真空 全裸 商K 摸摸唱
@xs3439 · 9,8801 post郑州出击认证榜✺
@youzhiyun · 29,6031 post长沙师范报告榜
@zai66zai · 1511 post佛山修车(总群)
@zo_aa · 32,3911 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“长沙911(认证榜)” (@anangao), 46,570 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/anangao.
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.