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Channel

🅥武汉学生头条🅥

@wuhanhu0

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

9,436subscribers

-160 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003212527591
TypeChannel
Username@wuhanhu0
Description投稿: @millyne1 主群 @wuhanlou 榜单 @wuhanhua1 聊天 @whlou6 报告 @wuhanhua2 让大家天天有课上,日日有瓜吃 学生 @wuhanhu0 评论 @wuhanlou8 武汉日报 @hijackcar 狼群 @wuhanlou3 本群为成人话题,禁止政治、未成年等违法话题
CreatedBetween 1 October 2025 and 31 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/wuhanhu0

Growth

9,4369,5969,5167 August 2026 — 9,596 subscribers8 August 2026 — 9,576 subscribers11 August 2026 — 9,499 subscribers14 August 2026 — 9,436 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net -160. 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 9,412–9,620 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:069,436-63
11 Aug 2026, 02:519,499-77
8 Aug 2026, 02:179,576-20
7 Aug 2026, 18:029,596first reading

Engagement

22 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
36.2%
avg views ÷ 9,436 subscribers
Avg views / post
3,410
21 posts measured
Reaction rate
0.205%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 20 of 21 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 14 August 2026
Posts held22 (17 July 202614 August 2026)
Views total71,644
Reactions total143
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 08:41 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
402
Videos
8
Links
74

Lifetime counters from Telegram’s own channel header, read 15 August 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.

Reaction mix

143 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 74.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10774.8%
🔥1611.2%
👏85.59%
👍32.10%
🥰32.10%
💯21.40%
😁21.40%
😍10.699%
🤬10.699%

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 20 of the 22 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 143reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 17 July 2026 to 14 August 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

14 Aug 2026, 08:01 UTC764 views15 reactionsread 15 August 2026
Photo

【武汉黄鹤楼】今日头条 你给老子站起来,武汉爷们的脸被你丢尽了。 你不知道武汉黄鹤楼么?你不知道武汉老师榜么?

12👏2🥰1

12 Aug 2026, 01:08 UTC≈1,620 views22 reactionsread 15 August 2026
Photo

【武汉学生】学生约课被打事件 学生是在研习社约课,老师名字懒懒 @lanlan1219,此人在多处上榜,嫩妹榜/精选榜,好多不认识的榜 学生约课,老师服务差要求退钱,老师叫人,学生被打,进门就是被打未协商 学生 1.性交(插入)未开始 2.的确是嫩妹,但课表和实际不一致(69有但是不做) 3.态度敷衍、恶劣 4.背后有暴力团体 5.进门就是殴打未有仁和商量 6.600元一分未退 学生陈述: 两天了,我还是难以从这件事走出来,我还是决心公布出来。以免后续更多人上当受骗。8月10日我按照联系的定位开车到保利城三期汉堡王c座,如约进了房间。女孩跟照片7/8分像,之前付了50元定金,后面又支付宝给了550元。开始洗完澡我以为跟聊天的一致,没想到她态度敷衍,69写了有也借口不做。我想就算了。女孩也不过18/9岁。但是她的口活不知道是敷衍还是不行,我让她用舌头,她始终不肯,坚持了10几分钟都勃起不来。没有性交行为发生。后面我跟他

19👍1🥰1😁1

11 Aug 2026, 08:10 UTC≈1,300 views1 reactionsread 15 August 2026
Forwarded from @whlou4

📊 老师评价数排名(最近7天) 1. 白蝴蝶 (@dg1264) - 评价数: 10, 均分: ★4.8 2. 小糖果 (@doszuh122) - 评价数: 9, 均分: ★5.0 3. 顺子 (@yr0704) - 评价数: 7, 均分: ★5.0 4. 莉娅女王 (@as15665) - 评价数: 7, 均分: ★5.0 5. 薰衣草 (@xx55667789) - 评价数: 6, 均分: ★5.0 6. 恋恋 (@zz99886666) - 评价数: 5, 均分: ★5.0 7. 金花 (@Jiuuoe) - 评价数: 5, 均分: ★5.0 8. 小葡萄 (@wxfc12580) - 评价数: 5, 均分: ★5.0 9. 琳琳2 (@linlinxiaobaozi) - 评价数: 5, 均分: ★5.0 10. 反差 (@Fan4673) - 评价数: 4, 均分: ★5.0 11. 七七 (@kk520kun)

1

11 Aug 2026, 08:08 UTC≈1,310 views5 reactionsread 15 August 2026
Photo

【武汉老师榜】今日头条 评论区简直不堪入目,果然都是老色批

4😁1

11 Aug 2026, 06:51 UTC≈1,280 views2 reactionsread 15 August 2026
Photo

【武汉黄鹤楼】今日头条 又是失联一段时间,希望是上岸了吧

2

9 Aug 2026, 08:12 UTC≈1,340 views3 reactionsread 15 August 2026
Forwarded from @wuhanhua1Photo

武汉顶级全裸8️⃣🔠➕❓「升级版」 武汉性价比王全场预约出评价:380💰 电话预约☎️: 13349751074 微信🛰1️⃣预约: _You9876 微信🛰2️⃣预约:AAWR880 QQ🐧1️⃣预约:169317176 QQ🐧2️⃣预约:3953211804 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 (进店铺报章鱼哥预约可享受优惠价) 体验完 拍照 点评发章鱼出示前台】 【 免费提供各类情趣丝袜可带走】😍 [另外提供付费换装服务+20] 服务时间50分钟、时间内不限次。 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」 2️⃣:玉手花式唤神龙「花手」 3️⃣:皇家骑

3

5 Aug 2026, 09:23 UTC≈2,880 views4 reactionsread 15 August 2026
Photo

【武汉黄鹤楼】盗号骗局 真有这么小白的人么?骗子链接你点了之后,验证码和密码也发给别人? 不要点链接,不要给密码,这么常识的事情

2💯2

5 Aug 2026, 00:33 UTC≈7,900 views1 reactionsread 15 August 2026

傻瓜入门级的 双向机器人教程,来了: https://t.me/hijackcar/377 双向机器人可以突破私聊限制,实用

😍1

4 Aug 2026, 09:11 UTC≈2,390 views14 reactionsread 12 August 2026
Photo

【武汉黄鹤楼】今日头条 今天遇到一个正义老哥,混迹于武汉各大榜,发现有老师在各榜单价格不一,差距太大,向本人反馈 不过价格差异,有可能如下原因: 1. 如果差距一两百,还可以接受 2. 如果差距太大,可能是代理或中介在从中搞事情 老哥至力于整顿武汉市场👍 ———————- 投稿: 阿布 老师 @maner52088

🔥85👍1

3 Aug 2026, 23:51 UTC≈1,900 viewsread 12 August 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6994703053

2 Aug 2026, 12:59 UTC≈3,280 views24 reactionsread 12 August 2026
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【武汉黄鹤楼】今日头条 这也是第一次遇到这等奇葩事 学生约老师,去老师那上厕所,直接在洗手间拉地上,拉一泡,然后拉完说不合适走了 拉地上~~~~~ ———————————- 投稿老师 @Badbratt 奇葩:@anyibashi

17🔥4👏3

31 Jul 2026, 13:38 UTC≈2,790 views7 reactionsread 12 August 2026
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【武汉黄鹤楼】今日头条 这么多骗子号,什么单亲妈妈,交订金,大家小心上当受骗;找榜上的

5👏1🥰1

Showing the 12 most recent of 22 posts we hold for @wuhanhu0. 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.

Citation-graph rank

Citation-graph rank — 1,142,919 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“🅥武汉学生头条🅥” (@wuhanhu0), 9,436 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/wuhanhu0.

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.