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Telegram profile photo for 武汉师范大学公开榜 🔞

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
TypeChannel
Username@whcj678
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 September 2026
Last confirmed live5 November 2026
Measurements held33
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.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

49,19770,26459,730.58 September 2026 — 49,197 subscribers11 September 2026 — 49,527 subscribers13 September 2026 — 49,293 subscribers14 September 2026 — 49,297 subscribers16 September 2026 — 49,360 subscribers18 September 2026 — 50,157 subscribers25 September 2026 — 51,904 subscribers4 October 2026 — 55,600 subscribers8 October 2026 — 57,618 subscribers13 October 2026 — 60,310 subscribers14 October 2026 — 60,836 subscribers15 October 2026 — 61,354 subscribers16 October 2026 — 61,737 subscribers17 October 2026 — 62,049 subscribers18 October 2026 — 62,784 subscribers19 October 2026 — 63,093 subscribers20 October 2026 — 63,581 subscribers21 October 2026 — 63,954 subscribers22 October 2026 — 64,315 subscribers23 October 2026 — 64,797 subscribers24 October 2026 — 65,312 subscribers25 October 2026 — 65,823 subscribers26 October 2026 — 66,214 subscribers27 October 2026 — 66,480 subscribers28 October 2026 — 66,801 subscribers29 October 2026 — 67,468 subscribers30 October 2026 — 67,759 subscribers31 October 2026 — 68,148 subscribers1 November 2026 — 68,729 subscribers2 November 2026 — 69,193 subscribers3 November 2026 — 69,536 subscribers4 November 2026 — 69,819 subscribers5 November 2026 — 70,264 subscribers8 September 20265 November 2026
33 measurements spanning 58 days, net +21,067. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 46,037–73,424 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
5 Nov 2026, 23:2670,264+445
4 Nov 2026, 21:4769,819+283
3 Nov 2026, 19:3869,536+343
2 Nov 2026, 17:2969,193+464
1 Nov 2026, 20:3168,729+581
31 Oct 2026, 17:0068,148+389
30 Oct 2026, 19:1867,759+291
29 Oct 2026, 17:2067,468+667
28 Oct 2026, 17:0766,801+321
27 Oct 2026, 13:4066,480+266
26 Oct 2026, 17:0066,214+391
25 Oct 2026, 16:0865,823+511
24 Oct 2026, 13:4065,312+515
23 Oct 2026, 10:3764,797+482
22 Oct 2026, 09:5164,315+361
21 Oct 2026, 04:3063,954+373
20 Oct 2026, 06:0763,581+488
19 Oct 2026, 08:4563,093+309
18 Oct 2026, 12:0962,784+735
17 Oct 2026, 09:2862,049first 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held63 (4 September 2026 – 5 November 2026)
Views total32,118
Reactions total48
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10786.3%
👍64.84%
🔥43.23%
🥰43.23%
😁21.61%
👏10.806%

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).

5 Nov 2026, 13:11 UTC89 viewsread 5 November 2026
Photo

📊 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

1 Nov 2026, 12:47 UTC≈1,100 views2 reactionsread 5 November 2026
Photo

📊 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

1 Nov 2026, 07:49 UTC935 views1 reactionsread 5 November 2026
Photo

📊 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

28 Oct 2026, 10:02 UTC≈1,750 views3 reactionsread 5 November 2026
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📊 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

27 Oct 2026, 15:18 UTC≈1,820 views2 reactionsread 5 November 2026
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📊 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

23 Oct 2026, 08:48 UTC≈2,350 views6 reactionsread 5 November 2026
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📊 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

21 Oct 2026, 13:02 UTC≈2,110 views4 reactionsread 5 November 2026
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📊 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

20 Oct 2026, 14:15 UTC≈1,920 views2 reactionsread 1 November 2026
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📊 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 姜宁🌐#青山区 💴【学费】#500p #1500包时2小时1500 🛫【联系】 @jiangning08 🥂【双向】 @jiangning08_bot 📱【频道】@jiangning06 ❤️【硬件】E/160cm/50kg/25 ❓上榜管理 @xccj7 🛍技术交流 https://t.me/whcj12 递交报告奖励300积分

❤2

19 Oct 2026, 07:41 UTC≈1,660 views7 reactionsread 28 October 2026
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⛳️武汉绅士独家创意⛳️ 创新创意SZ养生之道,MM阵容,服务于颜值并存 有颜有料,玩的是调调,玩的就是与众不同,告别传统体验,慢下来享受 告别流水线作业 让您高兴而来满意而归,期待您的到来。 A【众享spa套餐】推荐🔥🔥🔥🔥 (原架499预越架419) 丝wa🉑预定原味-丝袜可选,🉑精油spa+真空🐻划指划-丝袜👠诱或,嗅丝-M腿丝wa挑逗-榀丝恋足-鼻滑迷情-足戏🐉姣-👄乳交融-可摸可撕袜-花式互动足J-足底套🐦+背部丝足松体-(70分钟 手出足出1s💦 ) B 【君享spa套餐】推荐🔥🔥🔥🔥🔥 (原架699预越架599)送面部护理 包含A项目+升级泡澡🛀🏻多种服装丝wa可选,👠可选 上真空视觉触觉嗅觉盛宴-柔情助浴-站立式带领互动,菓动漫游🧊🔥两重天 菓动拉丝,猫趴式,猫咪踩乃后庭保养高山流水,足指都带美甲哦 +柔情🎶相伴+制福丝袜👠艳雾贴身挑逗,(80分手出.足出不限s💦) D 【于2015年独家创意】推…

❤7

17 Oct 2026, 12:42 UTC≈1,120 views3 reactionsread 21 October 2026
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📊 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

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.

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 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.