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Channel

🅥武汉老师报告🅥

@wuhanhua2

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

17,340subscribers

-609 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002356991138
TypeChannel
Username@wuhanhua2
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/wuhanhua2

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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

17,34017,94917,644.57 August 2026 — 17,949 subscribers8 August 2026 — 17,939 subscribers9 August 2026 — 17,921 subscribers10 August 2026 — 17,870 subscribers11 August 2026 — 17,845 subscribers13 August 2026 — 17,804 subscribers14 August 2026 — 17,820 subscribers16 August 2026 — 17,792 subscribers17 August 2026 — 17,785 subscribers18 August 2026 — 17,763 subscribers19 August 2026 — 17,744 subscribers20 August 2026 — 17,746 subscribers21 August 2026 — 17,730 subscribers22 August 2026 — 17,705 subscribers24 August 2026 — 17,666 subscribers25 August 2026 — 17,635 subscribers26 August 2026 — 17,624 subscribers27 August 2026 — 17,618 subscribers28 August 2026 — 17,591 subscribers29 August 2026 — 17,587 subscribers30 August 2026 — 17,567 subscribers31 August 2026 — 17,566 subscribers1 September 2026 — 17,545 subscribers2 September 2026 — 17,527 subscribers3 September 2026 — 17,493 subscribers5 September 2026 — 17,492 subscribers8 September 2026 — 17,490 subscribers11 September 2026 — 17,460 subscribers13 September 2026 — 17,426 subscribers14 September 2026 — 17,395 subscribers16 September 2026 — 17,369 subscribers19 September 2026 — 17,340 subscribers7 August 202619 September 2026
32 measurements spanning 42 days, net -609. 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 17,249–18,040 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
19 Sept 2026, 00:4117,340-29
16 Sept 2026, 16:5917,369-26
14 Sept 2026, 20:2017,395-31
13 Sept 2026, 05:3717,426-34
11 Sept 2026, 05:2017,460-30
8 Sept 2026, 11:5617,490-2
5 Sept 2026, 08:1617,492-1
3 Sept 2026, 12:0017,493-34
2 Sept 2026, 04:2817,527-18
1 Sept 2026, 05:0817,545-21
31 Aug 2026, 07:2617,566-1
30 Aug 2026, 09:4417,567-20
29 Aug 2026, 10:4617,587-4
28 Aug 2026, 14:0417,591-27
27 Aug 2026, 13:3717,618-6
26 Aug 2026, 12:3717,624-11
25 Aug 2026, 14:3517,635-31
24 Aug 2026, 13:5317,666-39
22 Aug 2026, 21:2417,705-25
21 Aug 2026, 13:2717,730first reading

Engagement

33 posts held, back to 25 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.18%
avg views ÷ 17,340 subscribers
Avg views / post
898
6 posts measured
Reaction rate
0.062%
reactions ÷ views · ER floor
Posts in window
6
of 33 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 3 of 6 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 2 September 2026
Posts held33 (25 July 20262 September 2026)
Views total5,388
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 09:18 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
1m 33s
Average length
10s

Measured directly from 9 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

41 reactions across 20 posts, in 2 distinct kinds. The most used accounts for 97.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4097.6%
🥰12.44%

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 22 of the 33 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 41 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 25 July 2026 to 2 September 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

2 Sept 2026, 09:18 UTC429 viewsread 3 September 2026
Forwarded from @wuhanhua1Photo

📱#小梦 🌐#汉阳 #王家湾 💴【学费】#9p #15pp 🛫【联系】@xiaomeng12333 🥂【双向】@xiaomeng12333bot 📱【频道】 t.me/xiaomengmeng212 🍑【硬件】C/165cm/50kg/23 🫦【标签】#汉阳 #王家湾 #9p #嫩妹 #舌 #野战 #上门 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7 💫学生群 @whbbb6 报告车评查找机器人:@vlchattbot

1 Sept 2026, 14:43 UTC659 viewsread 3 September 2026
Forwarded from @wuhanhua1Photo

📱#女奴琳琳 🌐#武昌 💴【学费】#12p #18pp 🛫【联系】@farjoq 🥂【双向】@yijjhbot 📱【频道】 t.me/Hdgdp9 🍑【硬件】C/166cm/45kg/23 🫦【标签】#武昌 #上门 #SM #嫩妹 #车震 #野战 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7 💫学生群 @whbbb6 报告车评查找机器人:@vlchattbot

31 Aug 2026, 11:10 UTC≈1,050 viewsread 3 September 2026
Photo

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_6193807804

31 Aug 2026, 11:10 UTC690 views0 reactionsread 3 September 2026
Forwarded from @wuhanhua1Photo

📱#苏锦禾 🌐#武昌 #徐东 💴【学费】#7p #10pp 🛫【联系】@sujinhe188 🥂【双向】@sujinhe_bot 📱【频道】 t.me/sujinhe1818 ❤️【硬件】C/168cm/50kg/26 🫦【标签】#武昌 #徐东 #7p #御姐 #角色 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7 💫学生群 @whbbb6 报告车评查找机器人:@vlchattbot

29 Aug 2026, 05:13 UTC≈1,300 views1 reactionsread 3 September 2026
Forwarded from @wuhanhua1Photo

📱#珞瑶 🌐#洪山 #欢乐谷 💴【学费】#7p #13pp 🛫【联系】@luohan987 🥂【双向】@Luohan66_bot 📱【频道】 t.me/luohan998888 ❤️【硬件】B+/155cm/40kg/18 🫦【标签】#洪山 #欢乐谷 #萝莉 #嫩妹 #7p #舌 报告车评查找机器人:@vlchattbot

1

26 Aug 2026, 18:18 UTC≈1,260 views1 reactionsread 2 September 2026
Forwarded from @wuhanhua1Photo

开学在即,迎新活动开始了: 1. 蒙蒙老师 @mmyyds9418 优惠一张,原价6p, 现价5p, 限一天 2. 敏敏老师 @mmzdn168 优惠一张,原价7p, 现价6p, 优惠三天 3. 小琪老师 @chogxiaoqi 优惠一张,原价6p 现价5p 4. 小仙女 @mumu985211 优惠一张,原价5p, 现价4p8pp, 优惠一周 5. 希瑶 @xiyaobb14 优惠一张,原价6p, 现价5p, 到月底 6. 林秋果老师 @qbkkz1 优惠一张,原价8p, 现价7p,限时三天 7. 榴榴老师 @liuliu456147 优惠一张,原价5p, 现价4p 8. 小伊老师 @dan2258 优惠一张,共10张,原价6p 发完为止 9. 乔乔老师 @QiaoQiao520qq 优惠一张,原价7p, 现价6p 11. 秋秋老师 @Naomiqiu 优惠一张,原价10p, 现价9p 12. 林秋果老师 @qbkkz1

1

24 Aug 2026, 09:07 UTC≈1,530 views1 reactionsread 2 September 2026
Forwarded from @wuhanhua1Photo

📱#小希 🌐#洪山 #白沙洲 🛫【联系】@xiaoxi1840 🥂【双向】@xiaoxi184_bot 📱【频道】 t.me/xiaoxi184 ❤️【硬件】E/164cm/58kg/23 🫦【标签】#洪山 #白沙洲 #6p #11pp #大胸 #嫩妹 #新人 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7 报告车评查找机器人:@vlchattbot

1

24 Aug 2026, 08:02 UTC≈1,370 viewsread 1 September 2026
Forwarded from @wuhanhua1Photo

开学在即,迎新活动开始了: 1. 蒙蒙老师 @mmyyds9418 优惠一张,原价6p, 现价5p, 限一天 2. 敏敏老师 @mmzdn168 优惠一张,原价7p, 现价6p, 优惠三天 3. 小琪老师 @chogxiaoqi 优惠一张,原价6p 现价5p 4. 小仙女 @mumu985211 优惠一张,原价5p, 现价4p8pp, 优惠一周 5. 希瑶 @xiyaobb14 优惠一张,原价6p, 现价5p, 到月底 6. 林秋果老师 @qbkkz1 优惠一张,原价8p, 现价7p,限时三天 7. 榴榴老师 @liuliu456147 优惠一张,原价5p, 现价4p 8. 小伊老师 @dan2258 优惠一张,共10张,原价6p 发完为止 9. 乔乔老师 @QiaoQiao520qq 优惠一张,原价7p, 现价6p 10. 研研老师 @yy779966 优惠一张,原价 6p 现价5p9pp 11. 秋秋老师 @Naom

24 Aug 2026, 08:02 UTC978 views1 reactionsread 1 September 2026
Forwarded from @wuhanhua1Photo

【武汉黄鹤楼】新生入学手册 1. 请找榜上老师,老师榜:@wuhanhua1 2. 新老师一周内不许收定金,常驻老师可收一张内定金 3. 可直接在群里搜索相关标签,比如:光谷/嫩妹/5p,搜索出来的全是榜上的 4. 榜上老师在群内发言,会有管理员红心认证点赞 5. 学习过后可给老师写报告:@vlchattbot 审核通过会发布 @whlou4 好评差评皆可 6. 上门需提前付路费,路费不是定金 7. 群内有打广告且无认证的,请慎重,注意骗子 8. 如有暴光或新闻头条,可投稿 @wuhanhu0 祝学习进步 ————————————————————— ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7 💫学生群 @whbbb6 💫武汉聊天 @whlou6

1

24 Aug 2026, 08:02 UTC984 views1 reactionsread 31 August 2026
Forwarded from @wuhanhua1Photo

📱#小奶糖 🌐#江岸 #后湖 💴【学费】#6p #10pp 🛫【联系】@xiaonaitang88997 🥂【双向】@x5896264_bot 📱【频道】 t.me/xiaonaitang8899 ❤️【硬件】C/164cm/48kg/23 🫦【标签】#江岸 #后湖 #6p #嫩妹 #舌 报告车评查找机器人:@vlchattbot

1

22 Aug 2026, 15:49 UTC≈1,250 views1 reactionsread 29 August 2026
Forwarded from @wuhanhua1

今日优惠: 1. 蒙蒙老师 @mmyyds9418 优惠一张,原价6p, 现价5p, 限一天 2. 敏敏老师 @mmzdn168 优惠一张,原价7p, 现价6p, 优惠三天 继续优惠 : 1. 林秋果老师 @qbkkz1 优惠一张,原价8p, 现价7p,限时三天 2. 榴榴老师 @liuliu456147 优惠一张,原价5p, 现价4p 3. 小伊老师 @dan2258 优惠一张,共10张,原价6p 发完为止 4. 乔乔老师 @QiaoQiao520qq 优惠一张,原价7p, 现价6p 新人优惠: 1. 大咪老师 @mimi9420 工兵优惠一张,原价8p, 现价7p

1

21 Aug 2026, 11:42 UTC≈1,090 views4 reactionsread 29 August 2026
Forwarded from @wuhanhua1Photo

👿武汉市全裸推荐8T🤑 🔥 #嫩妹顶美全裸光谷8T🔥 😵🤔🙁😝😤☹️🙁☹️ 电话☎️咨询:18072191883 武汉超级全裸🤩🥶(全新升级版) 原价:4️⃣9️⃣9️⃣预约价4️⃣0️⃣0️⃣ (免费提供各类情趣丝袜可带走) 服务时间🔠🧙‍♂️分钟.(满钟) 全场高颜值 主打😍😍后 不办会员,不推销不办卡,无隐藏消费 🤗项目简介🤯 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😳花样繁多😳可亲可舔 全新升级🤩🔤 玉女双峰夹龙棍🥳玉手花式唤神龙 皇家骑士磨龙棍🥳玉足穿丝滑龙精 单龙挑战双凤飞🥳足指驾驭龙头推 🥳冰火两重天🥳 单腿锁龙化磨龙🥳蜜臀夹龙女骑士 🤩🥶(选

4

Showing the 12 most recent of 33 posts we hold for @wuhanhua2. 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.

Forward network

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 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“🅥武汉老师报告🅥” (@wuhanhua2), 17,340 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/wuhanhua2.

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.