@mannier8899 来个工兵 先到先得

Channel
武汉师范大学公开榜 🔞
@whcj678
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
70,264subscribers
+21,067 since we began measuring on 8 September 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002417688552 |
|---|---|
| Type | Channel |
| Username | @whcj678 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 September 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/whcj678 |
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 25 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 |
|---|---|---|
| 5 Nov 2026, 23:26 | 70,264 | +445 |
| 4 Nov 2026, 21:47 | 69,819 | +283 |
| 3 Nov 2026, 19:38 | 69,536 | +343 |
| 2 Nov 2026, 17:29 | 69,193 | +464 |
| 1 Nov 2026, 20:31 | 68,729 | +581 |
| 31 Oct 2026, 17:00 | 68,148 | +389 |
| 30 Oct 2026, 19:18 | 67,759 | +291 |
| 29 Oct 2026, 17:20 | 67,468 | +667 |
| 28 Oct 2026, 17:07 | 66,801 | +321 |
| 27 Oct 2026, 13:40 | 66,480 | +266 |
| 26 Oct 2026, 17:00 | 66,214 | +391 |
| 25 Oct 2026, 16:08 | 65,823 | +511 |
| 24 Oct 2026, 13:40 | 65,312 | +515 |
| 23 Oct 2026, 10:37 | 64,797 | +482 |
| 22 Oct 2026, 09:51 | 64,315 | +361 |
| 21 Oct 2026, 04:30 | 63,954 | +373 |
| 20 Oct 2026, 06:07 | 63,581 | +488 |
| 19 Oct 2026, 08:45 | 63,093 | +309 |
| 18 Oct 2026, 12:09 | 62,784 | +735 |
| 17 Oct 2026, 09:28 | 62,049 | first reading |
Engagement
63 posts held, back to 4 September 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 117 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.90%
- avg views ÷ 70,264 subscribers
- Avg views / post
- 1,340
- 24 posts measured
- Reaction rate
- 0.166%
- reactions ÷ views · ER floor
- Posts in window
- 24
- of 63 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 24 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 63 (4 September 2026 – 5 November 2026) |
| Views total | 32,118 |
| Reactions total | 48 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 14:35 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
- 2m 42s
- Average length
- 12s
Measured directly from 14 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
124 reactions across 46 posts, in 6 distinct kinds. The most used accounts for 86.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 107 | 86.3% | |
| 👍 | 6 | 4.84% | |
| 🔥 | 4 | 3.23% | |
| 🥰 | 4 | 3.23% | |
| 😁 | 2 | 1.61% | |
| 👏 | 1 | 0.806% |
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 48 of the 63 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 124 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 63 most recent posts we hold, published 4 September 2026 to 5 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: 0 of 24 posts held from the last 30 days (0%) 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).
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 苏媚儿🌐#青山区 💴【学费】#500p #1500包时2小时1500 🛫【联系】 @mannier8899 🥂【双向】 @Nuonuojiqibot 📱【频道】@https://t.me/sumeierleyuan ❤️【硬件】E/168cm/50kg/25 ❓上榜管理 @xccj7 🛍技术交流 https://t.me/whcj12 递交报告奖励300积分
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 🔰武汉首家全裸9T96会所门店海选 🔰武汉市新店开业全场398🎉 🔰武汉超级全裸9T全新升级版) 🔰武汉市🔰高端会所 嫩妹活好👅 🔰金牌客服: @PJM886 🔰技师点评频道: t.me/XZZ8887 🔰技师频道 : t.me/NTR8868 🔰加入群组: t.me/XZZ8886 🔰双向机器人🤖: @NTB007bot 🔰电话预约☎️: 17369267649 🔰微信🛰️1️⃣预约:jieyou802 微信:18772687505 🔰QQ🐧1️⃣预约:1636621495 🔰QQ🐧2️⃣预约:1917164824 🔰原价:4️⃣9️⃣9️⃣预约价3️⃣9️⃣8️⃣ 🔰免费提供各类情趣丝袜可带走 🔰服务时间60分钟(满钟) 🔰全场高颜值 主打0…
❤2
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 #汉口养生 #武汉会所 公寓模式 一房一老师 可挑可选 主打高颜值-服务一流-性价比高 诚信靠谱 无需定金 没有任何隐形消费 看中付款 武汉市区:汉口香港路 养生95/98会所 在岗的妹子多 🔥❤️🔥🔥🔥 火爆预约中 武汉不坑不雷 营业至凌晨3:00 黑丝 肉丝 巨乳 足交 技师号码:(上面都有)每日在岗很多 95 550 口一手一 70分钟 98 550 650 40 70分钟一次两次 服务内容: 阴推毛扫💥贴身艳舞💥与顾客互动💥情趣挑逗💥果冻漫游💥风油全身💥吸皮刮痧💥滚水漫游💥泰式揉💥激情臀腿💥冰火两重天💥暴力撕袜💥舌化全身💥玉女吞珠💥龙入仙境💥深喉销魂💥猴子摘桃💥等等😀 ✈️客服:@HK857333 QQ号:1134147712 电话:19947592947…
❤1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 武汉顶级全裸8️⃣🔠 武汉性价比王全场预约:400💰 电话预约☎️: 13349751074 微信🛰️1️⃣预约: _You9876 QQ🐧1️⃣预约:169317176 武汉会所交流群: t.me/CMW6679 武汉技师频道: t.me/CMW6678 武汉技师点评: t.me/CMW6677 机器人🤖:@AWW998bot (进店铺报派大星预约可享受优惠价) 体验完 拍照 点评发派大星出示前台】 【 免费提供各类情趣丝袜可带走】😍 服务时间50分钟、时间内不限次(需提前说明) 游龙戏水➕沐香丝竹🫰 纤纤玉手➕仙女漫游🫰 高山流水➕胯下游龙🫰 柔情毒龙➕猴子偷桃🫰 水磨拉丝➕百变调情🫰 花样多处➕可摸可亲可舔😍 全裸升级版超级8️⃣🔠 1️⃣:玉女双峰夹龙棍「胸夹」 …
❤2👍1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 🩷❤️🧡武汉美女王SM私人影院💛💚🩵 带你体验女王的调教与白月光初恋般的温柔 初恋般的温柔系列 A套餐🌟🌟🌟 可亲脸可伸进去摸🐻🐻🐻 可感受小姐姐的体温和香味👙 时间(60分钟 ) B套餐推荐🌟🌟🌟🌟 剧情演绎或cos系列 二选一 和小姐姐深度接触开放热情 包含换装 撕丝袜 🐍吻或者隔摸🦐二选一(60分钟 ) C 特色套餐推荐🔥🔥🔥🔥 剧情演绎或cos系列 二选一 指定换装 撕丝袜 和小姐姐更加深度接触 西施拍豆腐:🐻揉脸 西施喂豆腐:喂你吃舔🐻 西施的私语:耳边呻吟 🐍吻/摸🦐/手出💦 三选二 时间60分钟 D 定制特色套餐👙👙👙👙 顶顶顶👍 🉑零距离接触 最后都不会让哥哥难受 想要具体了解请到店详询 女S女王的调焦系列(此项目定制仅接受预约) 剧情实…
❤2
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 📱#妍妍 🌐#洪山 💴【学费】700p1400pp 🛫【联系】@qtyzj520 🥂【双向】 @Yangzhuzhub0Bot 📱【频道】https://t.me/yzjqt ❤️【硬件】23岁身高165体重48kg胸围34C ❓上榜管理 @nanning789_bot 🛍技术交流 https://t.me/whcj12 更新老师放心出击
❤6
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 莞式十八式00后全裸嫩妹会所 榨精 #武昌#徐东#小北#94#4T#养生SPA 🤪😜项目介绍:全裸嫩妹推油榨精 【全场一口价400】拍照点评优惠20 十指弹琴😼比翼双飞😼柔情似水 高山流水😼丝足诱惑😼贴身抚摸 舔奶吸奶😼⑥⑨舔逼😼猴子偷桃 胸推臀推😼粉鲍可摸😼奸式胸推 波推全身😼舌尖环游😼可摸可亲 💥正宗莞式十八招💥花式毒龙 出水:手推:腿推:胸推:腿夹:丝足:(不限次出水) 丝袜诱惑 情趣诱惑 骚逼诱惑 AV剧情 御姐 人妻 少妇 嫩妹 AV骚逼 龟责 高跟 SM 女仆 老师 JK 空姐 护士 顶级推荐(臀交榨精)😍 📱📱📱📱📱📱📱📱 😵😐小北电话:17307181095 😵📱小北微信:ok7894T 😵😵 小北QQ: 24023…
❤4
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❤2
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❤7
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【店 名】:#武汉月薪喵mmk 【营业时间】: 下午2:00-凌晨4:00 【位 置】:#汉阳国博中心北地铁站 【联系方式】: 电报: @Maomao131421 频道:https://t.me/yuexinmao77888 排班:https://t.me/yuexinmao7788 【价 格】: 399/599/799/999 【服务类型】:🉑️ 🐍💋 🉑️💋🐻🉑️摸胸🉑️✈️ 【特 色】:知道妹妹什么星座吗 为你量身定做 高颜嫩妹 【反馈报告】:https://t.me/yuexinmiao778899(不定期抽奖)
❤3
@bebjsg 贝贝老师工兵价200 去的私聊
Showing the 12 most recent of 63 posts we hold for @whcj678. 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
@whcj678 edited 1 post 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
- 13 September 2026
- Most recent edit
- 13 September 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @whcj678 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
- 27 September 2026
- Most recent seen missing
- 11 October 2026
- Median time before seen missing
- 5 days
- Seen missing in the last 30 days
- 1
Mentions
Named by 1 registered channel — 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.
@whcj12 · 60,26027 posts武汉光谷技师交流群
@AAJJ99880 · 13,6794 posts武汉光谷技师频道
@AAJJ9988 · 4,5063 posts武汉会所点评
@AJJ899 · 3,8483 posts武汉#斑马小镇摄影师点评频道
@LinB6789 · 1,1673 posts鄂A斑马小镇(武汉口嗨)
@XTXT8889 · 5,7133 posts武汉派大星纪念馆
@CMW6677 · 3,8412 posts武汉派大星摄影馆
@CMW6678 · 1,7242 posts武汉派大星古法按摩交流荟
@CMW6679 · 7,3152 posts嘟嘟的私密花园
@dudu6864 · 592 posts(武汉首家)情景丝足会所
@mscyspa · 7,3412 posts武汉外围 晴天 一手货源
@tanyuxuan2233 · 5,6692 posts(武汉首家)绅士情景丝足spa
@whszhs · 4,8442 posts武汉阿良95/98推荐榜单
@whvip123 · 31,7992 posts武汉夜色会所交流群
@xioboa · 2,6282 posts🧧GT免费抽奖机器人🧧
@zzbjqrbot · 18,8712 posts秀秀频道
@bebnzgs · 1961 post白蝴蝶快乐小屋
@dg12648 · 4,7101 post胖虎美食家(自营+线下品控)
@panghu_waiwei · 4,7171 post小洁的频道!
@xiaojiedepindao · 2881 post洪山区7T🥇顶配推油
@xuxian911911 · 1,8061 post武汉闲聊休闲(禁止广告)
@You29815 · 8,4381 post月薪喵选妹排班频道
@yuexinmao7788 · 2651 post鱼丸小鱼塘
@Yueyuwan · 4,5261 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@whcj678 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, 14 October 2026 – 16 October 2026 · confirmed gone 13 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 3 posts, 12 September 2026 – 15 September 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“武汉师范大学公开榜 🔞” (@whcj678), 70,264 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/whcj678.
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.