🔎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: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
55,821subscribers
+11,716 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 |
| Description | این |
| 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 | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/anangao |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 |
|---|---|---|
| 17 Sept 2026, 18:40 | 55,821 | +637 |
| 15 Sept 2026, 15:01 | 55,184 | +344 |
| 14 Sept 2026, 00:17 | 54,840 | +310 |
| 12 Sept 2026, 09:18 | 54,530 | +381 |
| 10 Sept 2026, 02:40 | 54,149 | +1,269 |
| 6 Sept 2026, 16:56 | 52,880 | +728 |
| 4 Sept 2026, 08:57 | 52,152 | +500 |
| 2 Sept 2026, 19:26 | 51,652 | +296 |
| 1 Sept 2026, 14:37 | 51,356 | +131 |
| 31 Aug 2026, 15:58 | 51,225 | +353 |
| 30 Aug 2026, 14:57 | 50,872 | +198 |
| 29 Aug 2026, 17:47 | 50,674 | +182 |
| 28 Aug 2026, 16:46 | 50,492 | +294 |
| 27 Aug 2026, 15:05 | 50,198 | +346 |
| 26 Aug 2026, 15:46 | 49,852 | +221 |
| 25 Aug 2026, 16:13 | 49,631 | +169 |
| 24 Aug 2026, 13:08 | 49,462 | +296 |
| 22 Aug 2026, 23:45 | 49,166 | +808 |
| 21 Aug 2026, 12:43 | 48,358 | +339 |
| 20 Aug 2026, 09:44 | 48,019 | first reading |
Engagement
70 posts held, back to 23 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 100 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.858%
- avg views ÷ 55,821 subscribers
- Avg views / post
- 479
- 34 posts measured
- Reaction rate
- 0.113%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 70 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 12 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 70 (23 February 2025 – 23 September 2026) |
| Views total | 16,277 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 04:03 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
- 15
- Videos
- 7
- Links
- 14
Lifetime counters from Telegram’s own channel header, read 24 September 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 04s
- Average length
- 16s
Measured directly from 4 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
104 reactions across 31 posts, in 14 distinct kinds. The most used accounts for 80.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 84 | 80.8% | |
| 🤔 | 5 | 4.81% | |
| 🔥 | 3 | 2.88% | |
| 👍 | 2 | 1.92% | |
| ❤🔥 | 1 | 0.962% | |
| 🌭 | 1 | 0.962% | |
| 🍌 | 1 | 0.962% | |
| 👀 | 1 | 0.962% | |
| 👌 | 1 | 0.962% | |
| 👏 | 1 | 0.962% | |
| 😁 | 1 | 0.962% | |
| 🙉 | 1 | 0.962% | |
| 🤷♂ | 1 | 0.962% | |
| 🥱 | 1 | 0.962% |
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 33 of the 70 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 104 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 23 February 2025 to 23 September 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
🔎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
🔎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
🔎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
🔥 全长沙摸摸唱最火爆的场 ⬆️空尺度最大|每天在线安排 ✅ 演员 150+|真空海选 ✅ 舌吻 · 亲胸 · 全程摸 ✅ 场子安全|玩的刺激也放心 🏠 环境实打实,不糊弄人 💰 价格实打实,明码标价 🚫 一手驻场没有中间商赚差价 [色]三十多种福利游戏拉满 ❗️❗️长沙半裸全裸均可安排 ☎️ 18684681850微信同号 电报 @lxy13888520
❤1
🔎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
❤1
Showing the 12 most recent of 70 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.
Mentions
Named by 9 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.
@gaoxianoo · 33,20263 posts武汉出击榜(先锋)
@haoyuane · 58,88856 posts广州911(认证榜)
@Hzxiaomo · 40,35053 posts杭州911(认证榜)
@loveyou6VV · 78,97750 posts南京出击榜(先锋)
@zoudeyun · 68,43148 posts深圳911(认证榜)
@Yuoyoutan · 87,34646 posts上海911(认证榜)
@maokuanyou · 76,85542 posts南昌公开资源(认证)
@xiaodolS · 33,36229 posts叼
@sdkjf456f · 221 post
Names
Channels on the register whose handles appear in this channel's posts.
@gaoxianoo · 33,20250 posts长沙修车911
@gaoxianss · 74,07350 posts武汉出击榜(先锋)
@haoyuane · 58,88850 posts广州911(认证榜)
@Hzxiaomo · 40,35050 posts杭州911(认证榜)
@loveyou6VV · 78,97750 posts上海911(认证榜)
@maokuanyou · 76,85550 posts深圳911(认证榜)
@Yuoyoutan · 87,34650 posts南京出击榜(先锋)
@zoudeyun · 68,43150 posts全国探花(中低高端)外围
@vuvvvvvvvvv · 13,1816 posts🥇长沙夜生活摸摸唱ktv
@MMCZANSHAO · 2,6302 posts惠州大学城(修车)
@ccxsxs · 34,4791 post长沙阿豪商k反馈资料榜
@CSmmczk · 741 post福建(福州厦门泉州)大群
@dazzqq · 36,4761 post郑州修车(交流)
@gggu_u · 34,1771 post南京(夜游)
@ii88_8 · 34,6361 post桂林学生会〠修车
@qqqm_m · 34,3971 post无锡快活林(修车)
@uvogg · 34,3991 post常州修车学院✞
@uvoww · 33,4631 post东莞理工学院
@w88_88 · 34,2511 post西安修车学院
@ww66tt · 33,6851 post长沙夜猫必吃榜
@xoxo6xe · 10,7381 post郑州出击认证榜✺
@youzhiyun · 31,5921 post长沙师范报告榜
@zai66zai · 1891 post佛山修车(总群)
@zo_aa · 33,5531 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“长沙911(认证榜)” (@anangao), 55,821 subscribers as measured 17 September 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.