🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源

Channel
深圳911(认证榜)
@Yuoyoutan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
91,074subscribers
+24,016 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 | -1001434489717 |
|---|---|
| Type | Channel |
| Username | @Yuoyoutan |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 29 September 2026 |
| On Telegram | t.me/Yuoyoutan |
Topic
Adult — 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 93% 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 |
|---|---|---|
| 29 Sept 2026, 04:17 | 91,074 | +3,728 |
| 17 Sept 2026, 23:21 | 87,346 | +1,133 |
| 15 Sept 2026, 21:21 | 86,213 | +612 |
| 14 Sept 2026, 03:37 | 85,601 | +342 |
| 12 Sept 2026, 09:22 | 85,259 | +647 |
| 10 Sept 2026, 04:15 | 84,612 | +1,912 |
| 6 Sept 2026, 19:58 | 82,700 | +1,537 |
| 4 Sept 2026, 05:37 | 81,163 | +311 |
| 2 Sept 2026, 19:26 | 80,852 | +522 |
| 1 Sept 2026, 14:48 | 80,330 | +122 |
| 31 Aug 2026, 16:17 | 80,208 | +563 |
| 30 Aug 2026, 14:54 | 79,645 | +258 |
| 29 Aug 2026, 12:44 | 79,387 | +407 |
| 28 Aug 2026, 09:34 | 78,980 | +776 |
| 27 Aug 2026, 10:56 | 78,204 | +670 |
| 26 Aug 2026, 09:33 | 77,534 | +141 |
| 25 Aug 2026, 13:02 | 77,393 | +574 |
| 24 Aug 2026, 14:58 | 76,819 | +1,421 |
| 22 Aug 2026, 21:54 | 75,398 | +1,699 |
| 21 Aug 2026, 10:35 | 73,699 | first reading |
Engagement
99 posts held, back to 5 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 126 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.66%
- avg views ÷ 91,074 subscribers
- Avg views / post
- 1,510
- 41 posts measured
- Reaction rate
- 0.049%
- reactions ÷ views · ER floor
- Posts in window
- 41
- of 99 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 17 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 99 (5 August 2026 – 28 September 2026) |
| Views total | 61,905 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 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
- Video runtime
- 6m 24s
- Average length
- 10s
Measured directly from 37 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
44 reactions across 30 posts, in 5 distinct kinds. The most used accounts for 86.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 38 | 86.4% | |
| 👏 | 2 | 4.55% | |
| 🥰 | 2 | 4.55% | |
| ⚡ | 1 | 2.27% | |
| 👍 | 1 | 2.27% |
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 43 of the 99 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 44 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 99 most recent posts we hold, published 5 August 2026 to 28 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
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
😝🤩😜🤪 【艺名】: #cc抓龙筋sap 【地址】: #福田区 【联系】: @tingyu088 【频道】:https://t.me/cc663766
❤1
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
🔎南山区 🔎宝安区 🔎福田区 🔎龙华区 🔎龙岗区 🔎罗湖区 🔎盐田区 🔎坪山区 🔎光明区 🔎大鹏新区 🔎外围上门~各类会所 🫂深圳交流群 📮修车报告 👇下面其它地方资源👇 ✅广州资源 ✅杭州资源 ✅上海资源 ✅长沙资源 ✅南京资源 ✅武汉资源
❤1
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😝🤩😜🤪 【艺名】: #甜甜 【地址】: #福田区 【联系】: @tt06nn 【频道】: https://t.me/+6lF5kpYjHio3NDVk
Showing the 12 most recent of 99 posts we hold for @Yuoyoutan. 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.
@ShaogaoTuu · 34,39283 posts武汉出击榜(先锋)
@haoyuane · 58,88862 posts广州911(认证榜)
@Hzxiaomo · 40,26559 posts长沙911(认证榜)
@anangao · 58,90756 posts杭州911(认证榜)
@loveyou6VV · 82,50055 posts南京出击榜(先锋)
@zoudeyun · 72,15452 posts上海911(认证榜)
@maokuanyou · 76,85547 postsTelegram抽奖活动
@xiu8che · 98,9922 posts深圳|94|95|会所|SPA
@ShenZhen2974 · 3761 post
Names
Channels on the register whose handles appear in this channel's posts.
@kanni66 · 99,49556 posts深圳911报告📮
@ShaogaoTuu · 34,39255 posts长沙911(认证榜)
@anangao · 58,90751 posts武汉出击榜(先锋)
@haoyuane · 58,88851 posts广州911(认证榜)
@Hzxiaomo · 40,26551 posts杭州911(认证榜)
@loveyou6VV · 82,50051 posts上海911(认证榜)
@maokuanyou · 76,85551 posts南京出击榜(先锋)
@zoudeyun · 72,15451 posts🎁免费抽奖助手🎁
@tgLotteryuw8bot · 17,5775 postsTelegram抽奖活动
@xiu8che · 98,9925 posts深圳龙华樱桃🍒
@cherry9819 · 972 posts深圳气质柳如烟的频道💕
@lyy958 · 15,9172 posts深圳广州95(全裸水疗)
@ss9495 · 1,0722 posts苏菲龙华个人自聊😆🫴🫴🫴🫴
@suosui3355 · 482 posts茜茜~个人频道(个人自聊)
@Szfey · 3,1102 posts深圳幻欲の私享半裸抓龙筋SPA
@szhyzlj · 17,1732 posts深圳樱花の湯·日式裸身风俗泡泡浴
@szlsppy · 15,1042 posts彤彤的朋友圈
@TT68885 · 3,2302 posts👄深圳顶流大G叶灵儿的性感骚频道
@Yelinger8889 · 12,2322 posts深圳全区会所门店
@zshui1688 · 4,0522 posts深圳.宝儿抓龙筋 sm 换装 前列腺高潮(个人工作室)
@baoerzlj · 4,0591 post潮喷💦SM👠剧情📸道具
@qyr5455 · 8,8851 post全国莞式全套会所
@suosuo698956 · 41 post深圳天花板94/95會所選妃
@szspa94959698 · 2,3471 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 29 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳911(认证榜)” (@Yuoyoutan), 91,074 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/Yuoyoutan.
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.