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…

Channel
🅥 武汉黄鹤楼榜 🅥
@whlou1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,126subscribers
+52 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 |
|---|---|
| Type | Channel |
| Username | @whlou1 |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/whlou1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 20:26 | 6,126 | +21 |
| 11 Aug 2026, 04:51 | 6,105 | +32 |
| 8 Aug 2026, 12:43 | 6,073 | -1 |
| 7 Aug 2026, 18:01 | 6,074 | no change |
| 7 Aug 2026, 17:54 | 6,074 | first reading |
Engagement
10 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.9%
- avg views ÷ 6,126 subscribers
- Avg views / post
- 852
- 10 posts measured
- Reaction rate
- 0.128%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 10 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 4 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 10 (28 July 2026 – 11 August 2026) |
| Views total | 8,516 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:31 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
- 6s
- Average length
- 6s
Measured directly from 1 video 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
5 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 100.0% |
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 4 of the 10 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 28 July 2026 to 11 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
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
📱#妖艳女王 🌐#汉阳 💴【学费】#4p #7pp 🛫【联系】@yunv123 🥂【双向】@yaoyannwbot 📱【频道】 t.me/yaoyans520 🍑【硬件】D+/164cm/48kg/26 🫦【标签】#汉阳 #王家湾 #大胸 #SM #少妇 #服务 #舌 #剧情 ❓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
📱【花名】#若宁 🌐【课室】#汉口 💴【学费】#6p #10pp 🛫【联系1】@ruonlio 🥂【联系2】@Ruonii_bot 📱【频道】https://t.me/ruonill ❤️【硬件】C/170 🫦【标签】#御姐 https://t.me/wuhanhua2/6258 https://t.me/wuhanhua2/6714 https://t.me/wuhanhua2/6740 https://t.me/wuhanhua2/7712 https://t.me/wuhanhua2/7721 https://t.me/wuhanhua2/8238 https://t.me/wuhanhua2/8567 https://t.me/wuhanhua2/15577 https://t.me/whlou4/871
📱【花名】#顺子 🌐【课室】#洪山 💴【学费】#5p #9pp 🛫【联系1】@yr0704 🥂【联系2】@Shunzio_bot 📱【频道】 https://t.me/aabb117712 ❤️【硬件】C+/168cm 🫦【标签】#御姐 https://t.me/wuhanhua2/6671 https://t.me/wuhanhua2/6746 https://t.me/wuhanhua2/6783 https://t.me/wuhanhua2/7441 https://t.me/wuhanhua2/9090 https://t.me/wuhanhua2/9377 https://t.me/wuhanhua2/9493 https://t.me/wuhanhua2/10889 https://t.me/wuhanhua2/12984 https://t.me/wuhanhua2/13322 https://t.me/wuha…
❤1
📱【花名】#漫儿 🌐【课室】#洪山 #光谷 💴【学费】#6p #11pp 🛫【联系】@maner52088 🥂【双向】@luoliguanjia_bot 📱【频道】 @maner888 ❤️【硬件】C/150cm/45kg/18 🫦【标签】#萝莉 #大胸 #18 #可爱 😆 https://t.me/wuhanhua2/12471 https://t.me/wuhanhua2/12554 https://t.me/wuhanhua2/12555 https://t.me/wuhanhua2/12725 https://t.me/wuhanhua2/12857 https://t.me/wuhanhua2/12988 https://t.me/wuhanhua2/14663 https://t.me/wuhanhua2/14802 https://t.me/wuhanhua2/15045 https://t.me/wuhanh…
📱#姗姗 🌐#汉阳 💴【学费】#350 🛫【联系】@xghdshjs175 🥂【双向】 📱【频道】 t.me/fhjdtjvnfjv/2 ❤️【硬件】162cm/52kg/25 🫦【标签】 #95 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 🎉工兵优惠 @whlou7
📱#思思 🌐#江岸 💴【学费】#12p #20pp 🛫【联系】@sisi6886 🥂【双向】@Beijingsisi_bot 📱【频道】https://t.me/beijsisi ❤️【硬件】C/171cm/45kg/24 🫦【标签】 #御姐 ❓上榜管理 @millyne1 🛍技术交流 @whlou6 🕯武汉东湖 @whlou 💌新闻头条 @wuhanhu0 🔥报告评论 @wuhanhua2 https://t.me/wuhanhua2/17340
❤2
700/800/900p: 雅琴 灵儿 懒懒 呆呆 纯又又 四月 桃子 语语 可可 苏繁星 安西 乐乐 甄姬 源源 满小 满 沐沐 伊妮 芙芙 宝宝 阿伊娜 哗哗 苒苒 娜美 小妖 迪丽热巴 月亮 美美 米米 花朵 天菜少女 小柒 小小 亲亲 恋恋 喵喵酱 贝贝 困困 琦琦 荣荣 小月月 小夏 蒙蒙 兜兜 雅琴 大咪咪 小沫 小蕊 念念 兔兔 刘亦菲 小西 思思 萌萌 熙熙 少萝凰 花花 妮妮 茜茜 婷婷 小葡萄 夏天 灵灵 里里 小美 四月 李李 倩倩 晓萱 草莓 熙熙 香菜 兔子 微微 水娃 妃妃 瑶瑶
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Showing the 10 most recent of 10 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.
Citation-graph rank
Citation-graph rank — 159,481 of 1,350,102entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 4 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.
Names
Channels on the register whose handles appear in this channel's posts.
@wuhanhua2 · 17,8204 posts🅥武汉东湖🅥
@whlou · 45,2683 posts武汉鱿鱼纪念馆
@CMW6677 · 3,3212 posts武汉x鱿鱼摄影馆
@CMW6678 · 3,0562 posts🅥武汉老师车评🅥
@whlou4 · 7,5992 posts🅥武汉老师优惠活动 🅥
@whlou7 · 3,6782 posts🅥 武汉老师榜 🅥
@wuhanhua1 · 91,8852 posts顺子的小屋🏠
@aabb117712 · 1,4521 post妮妮兼职江岸区
@beijsisi · 7001 post姗姗de频道
@fhjdtjvnfjv · 2231 post若宁㊙️密研究所🍼
@ruonill · 6281 post🅥武汉学生头条🅥
@wuhanhu0 · 9,4361 post武汉休闲
@You29812 · 1,0271 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.
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.
“🅥 武汉黄鹤楼榜 🅥” (@whlou1), 6,126 subscribers as measured 14 August 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.