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Channel
深圳911(认证榜)
@Yuoyoutan
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
103,533subscribers
+36,475 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001434489717 |
|---|---|
| Type | Channel |
| Username | @Yuoyoutan |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 26 October 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 |
|---|---|---|
| 26 Oct 2026, 02:26 | 103,533 | +209 |
| 25 Oct 2026, 03:05 | 103,324 | +336 |
| 24 Oct 2026, 05:00 | 102,988 | +295 |
| 23 Oct 2026, 03:41 | 102,693 | +453 |
| 22 Oct 2026, 00:48 | 102,240 | +376 |
| 20 Oct 2026, 20:01 | 101,864 | +587 |
| 19 Oct 2026, 18:10 | 101,277 | +316 |
| 18 Oct 2026, 20:46 | 100,961 | +459 |
| 17 Oct 2026, 22:50 | 100,502 | +781 |
| 17 Oct 2026, 00:06 | 99,721 | +555 |
| 15 Oct 2026, 23:27 | 99,166 | +205 |
| 14 Oct 2026, 22:38 | 98,961 | +626 |
| 13 Oct 2026, 13:59 | 98,335 | +2,707 |
| 9 Oct 2026, 18:38 | 95,628 | +1,850 |
| 5 Oct 2026, 09:20 | 93,778 | +2,704 |
| 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 | first reading |
Engagement
143 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 189 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.45%
- avg views ÷ 103,533 subscribers
- Avg views / post
- 1,500
- 47 posts measured
- Reaction rate
- 0.05%
- reactions ÷ views · ER floor
- Posts in window
- 47
- of 143 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 19 of 47 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 143 (5 August 2026 – 25 October 2026) |
| Views total | 70,662 |
| Reactions total | 20 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 21:04 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
- 9m 50s
- Average length
- 10s
Measured directly from 58 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
65 reactions across 46 posts, in 7 distinct kinds. The most used accounts for 83.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 54 | 83.1% | |
| 👍 | 4 | 6.15% | |
| 👏 | 2 | 3.08% | |
| 🥰 | 2 | 3.08% | |
| ⚡ | 1 | 1.54% | |
| 🎃 | 1 | 1.54% | |
| 🤣 | 1 | 1.54% |
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 63 of the 143 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 143 most recent posts we hold, published 5 August 2026 to 25 October 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
Showing the 12 most recent of 143 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 11 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 · 41,431136 posts武汉出击榜(先锋)
@haoyuane · 70,37392 posts广州911(认证榜)
@Hzxiaomo · 41,58790 posts长沙911(认证榜)
@anangao · 69,32884 posts杭州911(认证榜)
@loveyou6VV · 97,87077 posts南京出击榜(先锋)
@zoudeyun · 89,46673 posts上海911(认证榜)
@maokuanyou · 92,02871 posts杭州911报告📮
@chaodaoD · 54,4516 postsTelegram抽奖活动
@xiu8che · 99,2353 posts深圳狼友公开资源
@s88888w · 31,7311 post深圳|94|95|会所|SPA
@ShenZhen2974 · 3541 post
Names
Channels on the register whose handles appear in this channel's posts.
@kanni66 · 115,92683 posts深圳911报告📮
@ShaogaoTuu · 41,43182 posts长沙911(认证榜)
@anangao · 69,32874 posts武汉出击榜(先锋)
@haoyuane · 70,37374 posts广州911(认证榜)
@Hzxiaomo · 41,58774 posts杭州911(认证榜)
@loveyou6VV · 97,87074 posts上海911(认证榜)
@maokuanyou · 92,02874 posts南京出击榜(先锋)
@zoudeyun · 89,46674 posts🎁免费抽奖助手🎁
@tgLotteryuw8bot · 12,4209 postsTelegram抽奖活动
@xiu8che · 99,2359 posts深圳龙岗宝儿抓龙筋 丝足sm换装 前列腺高潮
@baoerzlj · 4,0324 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 12,8013 posts深圳广州95(全裸水疗)
@ss9495 · 1,3223 posts深圳94-95会所李部长接待
@bb99971 · 25,6552 posts深圳高端水疗会所 00后专场
@dsx26149 · 16,8412 posts深圳修车觅蚌交流群
@dsx6291 · 1,2002 posts宝安 梦婷抓龙筋
@lcllcllllll · 4,0342 posts深圳魅色·寸止极享抓龙筋共浴SPA
@meisSPA520 · 2,3082 posts深圳幻欲の私享半裸抓龙筋SPA
@qypdb · 13,1922 posts茜茜~个人频道(个人自聊)
@Szfey · 3,3362 posts初见·疗愈半裸抓龙筋
@szlhrispa · 13,2832 posts深圳天花板94/95會所選妃
@szspa94959698 · 3,2042 posts雯雯个人频道
@wenwen6669 · 1,3812 posts深圳全区会所门店
@zshui1688 · 4,3652 posts
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
- 2
- 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
- 1
- vacant every time we have ever looked
@Yuoyoutan named 2 handles 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 3 posts, 16 September 2026 – 18 September 2026 · confirmed gone 2 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 3 October 2026 – 3 October 2026
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 26 October 2026 — this entry's latest reading, not the date you are reading this.
“深圳911(认证榜)” (@Yuoyoutan), 103,533 subscribers as measured 26 October 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.