📱#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

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 |
|---|---|
| Type | Channel |
| Username | @wuhanhua2 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 00:41 | 17,340 | -29 |
| 16 Sept 2026, 16:59 | 17,369 | -26 |
| 14 Sept 2026, 20:20 | 17,395 | -31 |
| 13 Sept 2026, 05:37 | 17,426 | -34 |
| 11 Sept 2026, 05:20 | 17,460 | -30 |
| 8 Sept 2026, 11:56 | 17,490 | -2 |
| 5 Sept 2026, 08:16 | 17,492 | -1 |
| 3 Sept 2026, 12:00 | 17,493 | -34 |
| 2 Sept 2026, 04:28 | 17,527 | -18 |
| 1 Sept 2026, 05:08 | 17,545 | -21 |
| 31 Aug 2026, 07:26 | 17,566 | -1 |
| 30 Aug 2026, 09:44 | 17,567 | -20 |
| 29 Aug 2026, 10:46 | 17,587 | -4 |
| 28 Aug 2026, 14:04 | 17,591 | -27 |
| 27 Aug 2026, 13:37 | 17,618 | -6 |
| 26 Aug 2026, 12:37 | 17,624 | -11 |
| 25 Aug 2026, 14:35 | 17,635 | -31 |
| 24 Aug 2026, 13:53 | 17,666 | -39 |
| 22 Aug 2026, 21:24 | 17,705 | -25 |
| 21 Aug 2026, 13:27 | 17,730 | first reading |
Engagement
33 posts held, back to 25 July 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 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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 33 (25 July 2026 – 2 September 2026) |
| Views total | 5,388 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 40 | 97.6% | |
| 🥰 | 1 | 2.44% |
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
📱#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
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
📱#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
📱#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
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
📱#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
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…
【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
📱#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
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
👿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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@Minabaogao · 2516 posts咯一,高潮喷水,汉口开课
@loyi4 · 8107 posts苏苏的小窝
@Bobipd · 8336 posts全国包养萝莉/处女/学妹(广告频道)
@Tyuecomboth · 16 posts梦婷的小家园
@meng521000 · 6244 posts洪山区,恋恋❤️新人
@CAzz1688 · 2,0713 posts顺子的小屋🏠
@aabb117712 · 1,5543 posts橙子🍊家
@bao52122 · 5513 posts崽崽~后宫佳丽
@luoxiaini · 1,7513 posts小奈的后花园
@xiaonainaihuayuan · 3993 posts狸狸的朋友圈
@Liliqaq123 · 4342 posts落落
@XHEHDHDH2 · 1,3462 posts汉口🌸西米露的被窝
@hkxbd168 · 8032 posts@qiqiqi5933
@qiqiqi59333 · 8882 posts九九 个人开课
@NN22886 · 1,0461 post咸鱼🐟
@xianyu52111 · 4611 post秀秀的频道
@xiuxiudpd · 2051 post洪山筱筱🍓生活圈
@xxiaoyp · 3451 post
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 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.
Named by
Channels on the register whose posts name this channel's handle.
@Minabaogao · 2514 posts🅥 武汉黄鹤楼榜 🅥
@whlou1 · 6,6507 posts顺子的小屋🏠
@aabb117712 · 1,5545 posts全国包养萝莉/处女/学妹(广告频道)
@Tyuecomboth · 12 posts小奈的后花园
@xiaonainaihuayuan · 3992 posts苏苏的小窝
@Bobipd · 8331 post光谷兼职个人开课
@meimei2698 · 6391 post🅥 武汉老师榜 🅥
@wuhanhua1 · 102,6881 post铁机路阳阳三通开课18140550776
@wxy668800 · 1,1331 post今遇良人
@xioobot · 4811 post宇儿~🉑三通
@yuer2053 · 1,7631 post
Names
Channels on the register whose handles appear in this channel's posts.
@whlou · 57,15613 posts🅥武汉聊天群【禁广告】🅥
@whlou6 · 24,64513 posts🅥武汉老师优惠活动 🅥
@whlou7 · 4,41513 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,747,9804 posts🅥武汉老师车评🅥
@whlou4 · 31,0162 posts🅥 武汉老师榜 🅥
@wuhanhua1 · 102,6882 posts全国莞式全套会所
@bao5558888 · 51 post武汉鱿鱼纪念馆
@CMW6677 · 2,0211 post武汉x鱿鱼摄影馆
@CMW6678 · 1,6091 post武汉鱿鱼古法按摩交流荟
@CMW6679 · 5,9231 post姗姗de频道
@fhjdtjvnfjv · 2441 post琳琳小屋🏠
@Hdgdp9 · 2751 post苏苏的私密花园 (江汉)个人开课中
@Lsusu520 · 5021 post武汉八戒技师自拍馆
@NBB8887 · 1,2641 post武汉顶美点评
@NBN8899 · 6,2081 post技师出勤频道
@NTR8868 · 5051 post武汉猪八戒会所聊天群
@RCG8899 · 15,2671 post桃子的小窝
@shshb342 · 1,4291 postsujinhe1818
@sujinhe1818 · 1291 post🅥武汉学生头条🅥
@wuhanhu0 · 9,2601 post💗小梦的后花园💗
@xiaomengmeng212 · 3281 post小奶糖的家
@xiaonaitang8899 · 8321 post希希的秘密花园
@xiaoxi184 · 5121 post欣儿的秘密花园
@xinerdexiaomimi · 671 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
- 4
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 4
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@wuhanhua2 named 4 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 2 posts, 15 August 2026 – 16 August 2026 · confirmed gone 1 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 25 August 2026 – 25 August 2026 · confirmed gone 4 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 25 August 2026 – 25 August 2026 · confirmed gone 3 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 25 August 2026 – 25 August 2026 · confirmed gone 5 September 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 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.