沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: 🚫 鑫泰艺水床spa • 🚫 悦心梦境SPA会馆 • 沈河区

Channel
沈阳公开榜(辽宁)
@shenyanggk
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
43,437subscribers
+13,880 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002375536105 |
|---|---|
| Type | Channel |
| Username | @shenyanggk |
| Description | 上榜联系 @shenyangzsbot 聊天群 https://t.me/shenyangCN |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 51 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/shenyanggk |
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 74% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 16:46 | 43,437 | -5 |
| 5 Nov 2026, 17:27 | 43,442 | +271 |
| 4 Nov 2026, 14:55 | 43,171 | +35 |
| 3 Nov 2026, 15:56 | 43,136 | +131 |
| 2 Nov 2026, 19:19 | 43,005 | +213 |
| 1 Nov 2026, 19:38 | 42,792 | +216 |
| 31 Oct 2026, 16:36 | 42,576 | +97 |
| 30 Oct 2026, 17:40 | 42,479 | +127 |
| 29 Oct 2026, 19:01 | 42,352 | +96 |
| 28 Oct 2026, 16:56 | 42,256 | +169 |
| 27 Oct 2026, 17:59 | 42,087 | +81 |
| 26 Oct 2026, 18:38 | 42,006 | +91 |
| 25 Oct 2026, 15:14 | 41,915 | +162 |
| 24 Oct 2026, 16:34 | 41,753 | +99 |
| 23 Oct 2026, 16:20 | 41,654 | +184 |
| 22 Oct 2026, 15:07 | 41,470 | +215 |
| 21 Oct 2026, 11:46 | 41,255 | +316 |
| 20 Oct 2026, 10:27 | 40,939 | +344 |
| 19 Oct 2026, 09:08 | 40,595 | +345 |
| 18 Oct 2026, 08:27 | 40,250 | first reading |
Engagement
98 posts held, back to 1 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 145 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.10%
- avg views ÷ 43,437 subscribers
- Avg views / post
- 911
- 77 posts measured
- Reaction rate
- 0.091%
- reactions ÷ views · ER floor
- Posts in window
- 77
- of 98 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 27 of 77 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 98 (1 August 2026 – 6 November 2026) |
| Views total | 70,157 |
| Reactions total | 49 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 21:46 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
- 713
- Videos
- 115
- Links
- 50
Lifetime counters from Telegram’s own channel header, read 6 November 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
- 3m 48s
- Average length
- 11s
Measured directly from 21 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
163 reactions across 37 posts, in 4 distinct kinds. The most used accounts for 93.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 153 | 93.9% | |
| 👎 | 5 | 3.07% | |
| 🔥 | 3 | 1.84% | |
| 👍 | 2 | 1.23% |
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 44 of the 98 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 163 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 98 most recent posts we hold, published 1 August 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 3 of 77 posts held from the last 30 days (3.90%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: 🚫 鑫泰艺水床spa • 🚫 悦心梦境SPA会馆 • 沈河区
👩🏻💼 艺名:晓悦 📍 位置:和平区 💰 课费:1000p 📊 0 条车评 ,综合评分0 好评 0% | 人照 0 | 服务 0 中评 0% | 颜值 0 | 态度 0 差评 0% | 身材 0 | 环境 0 ☎️ 联系方式:点击获取 给老师写评价 | 查看全部车评(0条) 🏷 标签: #沈阳 #和平区 #19岁 #罩杯B #嫩妹 #69
👩🏻💼 艺名:悦心梦境SPA会馆 📍 位置:沈河区 梦幻SPA:799(50分钟⏰) 半裸+柔式按摩💆+闻香指滑+🐻滑🐬滑+情趣👠+果冻🐍漫+🐻推+娇喘丝语+👋释放(1️⃣) 极致SPA:999(70分钟⏰) 全裸+柔式SPA+水床项目💦+诱惑调情🫦+深度臀疗+果冻👅漫+闻香指滑+🐻滑🐬滑+绵阳吸🥛+情趣制服👙+水磨拉丝+胯下游🐉+舔🫘品鲍+丝足🦶+海底捞🌙+娇喘丝语+胸T臀T+2️⃣次释放 「全场0️⃣0️⃣后 可Kiss💋可摸 多位妹妹可选 🈚️套路 服务态度极佳 配合度高 情绪价值到位 不催不事 安全🔐 私密」 本店🈚️口🈚️大 免开尊口❗️❗️❗️ 🈺业时间:中午12:00-凌晨1点 ⚠️:🏠需私发 有任何不满意可直接找客服投诉❗ 客服联系: @longfugui 双向联系: @yuexinmjbot 频道: https://t.me/yuexin8 群: https://t.me/+R0C…
❤1
沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: ✅ emo • 抚顺区 ✅ 七七 • 和平区 ✅ 小舟 • 皇姑区 ✅ 招财猫 • 和平区 ✅ 波波妹 • 苏家屯区 ✅ 佳琪 • 和平区 ✅ 可乐 • 铁西区 ✅ 贝贝 • 铁西区 🚫 鑫泰艺水床spa •
👩🏻💼 艺名:贝贝 📍 位置:铁西区 💰 课费:400p 📊 0 条车评 ,综合评分0 好评 0% | 人照 0 | 服务 0 中评 0% | 颜值 0 | 态度 0 差评 0% | 身材 0 | 环境 0 ☎️ 联系方式:点击获取 给老师写评价 | 查看全部车评(0条) 🏷 标签: #罩杯D #少妇 #服务系 #毒龙 #胸推
❤1
沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: 🚫 鑫泰艺水床spa •
沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: ✅ emo • 抚顺区 ✅ 小公主 • 于洪区 ✅ 七七 • 和平区 ✅ 小舟 • 皇姑区 ✅ 锦鲤小白菜 • 和平区 ✅ 招财猫 • 和平区 ✅ 波波妹 • 苏家屯区 ✅ 佳琪 • 和平区 ✅ 可乐 • 铁西区 ✅ 猫猫 • 和平区 ✅ 鑫泰艺水床spa •
❤1
👩🏻💼 艺名:鑫泰艺水床spa 高端环境优异 🔥高端实体00后专场,根据您的需要合理推荐最满意的专场!有十年服务经验,主打水床柔式spa,水磨拉丝特色,日式AV裸推手法,老师真人真照,8 以上相似,零零后,颜值高,身材好,服务细致,时间足,情绪价值到位,只做服务与口碑… 🈺业时间:中午12:00-晚上1:30(🉑加班) (如果觉得我们这里的服务让您请把我的联系方式推荐给您身边有需要的朋友! 电报✈️如果30秒没回信息请打 感谢您的信任与支持🙏🙏!祝您生活愉快! ⚠️: 免费饮品休闲小食!!! 注:具体位置私信发,安全,私密,高档,公寓会所每天10多位00后技师,服务对技师服务不满及时投诉! 🛎会所频道 https://t.me/xintaiyishuichang99 📊 0 条车评 ,综合评分0 好评 0% | 人照 0 | 服务 0 中评 0% |…
❤2
沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: ✅ 猫猫 • 和平区
沈阳老师今日出勤信息 ✅ 代表开课 🚫 代表休息 📍 个人老师: ✅ emo • 抚顺区 ✅ 阳阳 • 和平区 ✅ 七七 • 和平区 ✅ 小舟 • 皇姑区 ✅ 锦鲤小白菜 • 和平区 ✅ 招财猫 • 和平区 ✅ 波波妹 • 苏家屯区 ✅ 欣欣 • 和平区 ✅ 佳琪 • 和平区 ✅ 可乐 • 铁西区 ✅ 猫猫 • 和平区
👩🏻💼 艺名:猫猫 📍 位置:和平区 💰 课费:800p 📊 0 条车评 ,综合评分0 好评 0% | 人照 0 | 服务 0 中评 0% | 颜值 0 | 态度 0 差评 0% | 身材 0 | 环境 0 ☎️ 联系方式:点击获取 给老师写评价 | 查看全部车评(0条) 🏷 标签: #沈阳 #和平区 #19岁 #罩杯C
Showing the 12 most recent of 98 posts we hold for @shenyanggk. 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.
Posts edited after publishing
@shenyanggk edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 6 September 2026
- Most recent edit
- 12 October 2026
Posts recorded as deleted after publishing
We recorded 8 posts on @shenyanggk as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 18 August 2026
- Most recent seen missing
- 27 October 2026
- Median time before seen missing
- 15 hours
- Seen missing in the last 30 days
- 4
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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@RQHJCar · 1,8862 posts临沂出击互助协会🅢(山东)
@SDlinyi · 10,2392 posts沈阳老司机(辽宁)
@shenyangCN · 21,4462 posts厦门鼓浪屿之家
@xiamen465 · 9,6662 posts西安修车总队💯同城交流群
@xianxiyuktv · 37,4532 posts郑州新乡轩交流💕
@xx6699xxu · 2,7622 posts绵阳-故事汇
@ycxcly520 · 10,6152 posts扬州泰州呱呱叫俱乐部🅢
@YZguaguajiao798 · 48,1972 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
@shenyanggk 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, 2 September 2026 – 30 September 2026 · confirmed gone 30 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 7 posts, 23 August 2026 – 4 September 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“沈阳公开榜(辽宁)” (@shenyanggk), 43,437 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/shenyanggk.
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.