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Channel

🅥 武汉黄鹤楼榜 🅥

@whlou1

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

7,294subscribers

+1,220 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-1003412891166
TypeChannel
Username@whlou1
Description主群 @wuhanlou 报告 @wuhanhua2 学生 @wuhanhu0 评论 @wuhanlou8 聊天 @whlou 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 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/whlou1

Topic

Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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

6,0737,2946,683.57 August 2026 — 6,074 subscribers7 August 2026 — 6,074 subscribers8 August 2026 — 6,073 subscribers11 August 2026 — 6,105 subscribers14 August 2026 — 6,126 subscribers17 August 2026 — 6,202 subscribers20 August 2026 — 6,200 subscribers24 August 2026 — 6,261 subscribers26 August 2026 — 6,291 subscribers29 August 2026 — 6,342 subscribers1 September 2026 — 6,377 subscribers4 September 2026 — 6,416 subscribers9 September 2026 — 6,514 subscribers13 September 2026 — 6,554 subscribers18 September 2026 — 6,650 subscribers27 September 2026 — 6,825 subscribers5 October 2026 — 6,963 subscribers12 October 2026 — 7,036 subscribers15 October 2026 — 7,068 subscribers18 October 2026 — 7,113 subscribers21 October 2026 — 7,143 subscribers24 October 2026 — 7,187 subscribers28 October 2026 — 7,234 subscribers31 October 2026 — 7,266 subscribers3 November 2026 — 7,294 subscribers7 August 20263 November 2026
25 measurements spanning 88 days, net +1,220. 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 5,890–7,477 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
3 Nov 2026, 07:067,294+28
31 Oct 2026, 05:017,266+32
28 Oct 2026, 01:417,234+47
24 Oct 2026, 14:467,187+44
21 Oct 2026, 11:467,143+30
18 Oct 2026, 14:467,113+45
15 Oct 2026, 08:567,068+32
12 Oct 2026, 15:087,036+73
5 Oct 2026, 12:386,963+138
27 Sept 2026, 04:376,825+175
18 Sept 2026, 02:186,650+96
13 Sept 2026, 12:376,554+40
9 Sept 2026, 09:566,514+98
4 Sept 2026, 12:386,416+39
1 Sept 2026, 08:356,377+35
29 Aug 2026, 12:046,342+51
26 Aug 2026, 19:246,291+30
24 Aug 2026, 02:466,261+61
20 Aug 2026, 19:446,200-2
17 Aug 2026, 20:566,202first reading

Engagement

20 posts held, back to 28 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.24%
avg views ÷ 7,294 subscribers
Avg views / post
237
10 posts measured
Reaction rate
0.347%
reactions ÷ views · ER floor
Posts in window
10
of 20 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 5 of 10 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 held20 (28 July 2026 – 5 November 2026)
Views total2,365
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 00:47 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
≈3,400
Videos
≈507
Links
≈796

Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
35s
Average length
9s

Measured directly from 4 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

10 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10100.0%

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 9 of the 20 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 28 July 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 10 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, 15:12 UTC82 views1 reactionsread 6 November 2026
Forwarded from @wuhanhua1Photo

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❤1

5 Nov 2026, 07:34 UTC135 viewsread 6 November 2026
Forwarded from @wuhanhua1Photo

武汉全裸服务颜值天花板 皖式高端私密会所30➕海选 项目: 皖式 养生 Spa 4️⃣™️ 💦各种制服💃主题剧情🥰过水毒龙 丝滑乳交🥰漫游冰火 SM调教🥰水摩拉丝 🤗丝足骑士😍惊喜多多🥰 👯‍♀️手T+胸T+足T+臀T +腿T+舌电+毛T +漫游😍 【可亲+可盘+可柔】 这里玩的嗨皮 玩的刺激 🔥预约价:💰400 ⏰50分钟 🔥🔥 双飞劲爆价:💰650 👯‍♀️ 【🚫停车便捷 私密安全🛡】 【❌不充值🚫不办卡🔥无套路】 📱【🐭只做精品🐭】 🔥营业时间:12:00 - 4:00 💀 ℹ️【联系客服拿准确地址📍 🔥电话13757703043(微信同号) 🔥✈️客服 @whgg11999 双向联系:@cy234234bot 聊骚群链接:@wuhanvipchuyi 技师点评榜:@whgg55555 莞式服务🔥🔥 👷颜控首选有过程包结果 👷

5 Nov 2026, 07:09 UTC138 viewsread 6 November 2026
Forwarded from @wuhanhua1Photo

📱#研希 🌐#洪山 💴【学费】#6p #10pp 🛫【联系】@vqilai7788 🥂【双向】@vqilai7788bot 📱【频道】 t.me/ww987321 ❤️【硬件】C/170cm/55kg/18 🫦【标签】 #嫩妹 #洪山 #新人 #6p ❓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

5 Nov 2026, 06:38 UTC161 viewsread 6 November 2026
Forwarded from @wuhanhua1Photo

📱#灵儿 🌐#武昌 💴【学费】#8p #15pp 🛫【联系】@mzl1123 🥂【双向】@mzl123bot 📱【频道】 t.me/+p1iTg67-rdQ3NDcx ❤️【硬件】B/165cm/49kg/26 🫦【标签】#武昌 #御姐 #8p #上门 #包夜 报告车评查找机器人:@vlchattbot

4 Nov 2026, 07:45 UTC225 views1 reactionsread 6 November 2026
Forwarded from @wuhanhua1Photo

📱#钰钰 🌐#武昌 💴【学费】#15p #28pp 🛫【联系】@yongyuankaixin666 🥂【双向】@yongyuankaixinbot 📱【频道】 t.me/yongyuankaixin66 ❤️【硬件】C/161cm/47kg/20 🫦【标签】#武昌 #嫩妹 #上门 #15p #大学生 ❓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

4 Nov 2026, 03:25 UTC180 viewsread 5 November 2026
Forwarded from @wuhanhua1Photo

📱#井田 🌐#洪山 💴【学费】#5p #8pp 🛫【联系】@jintian1212 🥂【双向】@jintian1313_Bot 📱【频道】@jintian1515 ❤️【硬件】D/165cm/48kg/27 🫦【标签】#洪山 #5p #大胸 #少妇 #御姐 #包夜 ❓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

3 Nov 2026, 04:42 UTC311 viewsread 5 November 2026
Forwarded from @wuhanhua1Photo

📱#安迪 🌐#汉阳 💴【学费】#6p #10pp 🛫【联系】@andi99889 🥂【双向】@andi9988_Bot 📱【频道】@andi66899 ❤️【硬件】E/168cm/48kg/28 🫦【标签】#汉阳 #御姐 #6p #大胸 #服务 #包夜 ❓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

2 Nov 2026, 11:38 UTC278 views1 reactionsread 5 November 2026
Forwarded from @wuhanhua1Photo

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 私信客服: @AWNB668 (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」 2️⃣:玉手花式唤神龙「花手」 3️⃣:皇家骑士磨龙棍「女上」 4️⃣:玉足穿丝滑龙精「丝袜」 5️⃣:单龙挑战双凤飞「双女」 6️…

❤1

1 Nov 2026, 12:41 UTC266 views1 reactionsread 4 November 2026
Forwarded from @wuhanhua1Photo

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❤1

30 Oct 2026, 11:42 UTC589 views1 reactionsread 4 November 2026
Forwarded from @wuhanhua1Photo

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❤1

11 Aug 2026, 08:51 UTC253 viewsread 12 August 2026
Forwarded from @wuhanhua1Photo

预约价格400拍照评价立减20 武汉小悠带队 服务大升级 大升级服务 环境升级 全场00后00年~06顶美全新佳丽 骚的一批活好 联系客服安排顶美小姐姐 门店价格:400 到店跟前台说小悠预约可享买单价格380(需拍照点评反馈) 双飞特价仅需:750元 门店营业时间 12:00~04:00 稳定在岗10~20多位佳丽全场00后 持4T服务证上岗🕵️‍♀️ 气质御姐,风韵小嫂子,小母狗,小巧萝莉,邻家小妹,A4,大奶牛,水娃💦,黑丝吊带高跟鞋👠,好玩不贵,透明消费😀 😀服务流程如下📱 👩‍🎤 沐浴洗澡 小按开场 指滑鼻吸 👩‍🎤 胸滑全身 滚水漫游 纯舌漫游 👩‍🎤 胯下毒龙 海底捞月 莞式干磨 👩‍🎤 飞龙在天 百变调情 肾保健操 👩‍🎤 一柱擎天 激情互动 4T 齐上 👩‍🎤 各种姿势 完美释放 临别温存 门店新出特惠全场400 45分钟不限次数 多次需提前告知 环境优雅私密,每个房间都很大,带有单独淋浴,不办卡不充足…

9 Aug 2026, 08:09 UTC415 views2 reactionsread 12 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…

❤2

Showing the 12 most recent of 20 posts we hold for @whlou1. 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 recorded as deleted after publishing

We recorded 1 post on @whlou1 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
10 August 2026
Most recent seen missing
10 August 2026
Median time before seen missing
41 hours
Seen missing in the last 30 days
0

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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 5 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“🅥 武汉黄鹤楼榜 🅥” (@whlou1), 7,294 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/whlou1.

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.