服务范围:武汉全城(全国一二线都可安排),有工作室,可上门酒店,家里。 小圈:1600一次 1900两次 中圈: 1800一次 2200两次 大圈: 2100-2400一次 2600-2800两次 无套内射:2800-3000两次 (武汉大圈价格有所浮动) 包夜:3000起 一次一个小时 两次一个半小时 包夜六个小时3次 女孩职业:大学生兼职,国外留学生、护士、空姐、网红、萝莉(白瘦幼)、cos、洛丽塔、jk、喷水娃、白虎、SM、无套内射、御姐名模、白领、车模、外籍美女、模特、处。 承诺:先选人,看中后一百定金出发。定金算在尾款里面,骗定金死全家,其他尾款女孩子到了直接付给女孩子,仙人跳死全家 为什么要付定金:过滤口嗨,过滤女孩子过去客户不在 闲聊眼子口嗨勿扰,就看资料不想玩的死妈,不要浪费时间,价格实惠,欢迎咨询 (20公里内不要路费,超过自理) 武汉是20公里一百路…

Channel
🚙武汉外围榜🚙
@wuhanlou5
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,651subscribers
+0 since we began measuring on 27 September 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002703595931 |
|---|---|
| Type | Channel |
| Username | @wuhanlou5 |
| Description | 公开榜 @wuhanhua1 报告 @wuhanhua2 武汉交友约炮楼凤,武昌/江岸/江汉/洪山/硚口/东西湖/青山 |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 September 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/wuhanlou5 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 07:22 | 6,651 | no change |
| 27 Sept 2026, 06:49 | 6,651 | first reading |
Engagement
8 posts held, back to 4 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.62%
- avg views ÷ 6,651 subscribers
- Avg views / post
- 374
- 8 posts measured
- Reaction rate
- 0.269%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 8 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 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 8 (4 September 2026 – 26 September 2026) |
| Views total | 2,988 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 07:22 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
- 652
- Videos
- 229
- Links
- 122
Lifetime counters from Telegram’s own channel header, read 27 September 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.
- Video runtime
- 22s
- Average length
- 11s
Measured directly from 2 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
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 3 of the 8 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 4 September 2026 to 26 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
服务范围:武汉全城(全国一二线都可安排),有工作室,可上门酒店,家里。 小圈:1600一次 1900两次 中圈: 1800一次 2200两次 大圈: 2100-2400一次 2600-2800两次 无套内射:2800-3000两次 (武汉大圈价格有所浮动) 包夜:3000起 一次一个小时 两次一个半小时 包夜六个小时3次 女孩职业:大学生兼职,国外留学生、护士、空姐、网红、萝莉(白瘦幼)、cos、洛丽塔、jk、喷水娃、白虎、SM、无套内射、御姐名模、白领、车模、外籍美女、模特、处。 承诺:先选人,看中后一百定金出发。定金算在尾款里面,骗定金死全家,其他尾款女孩子到了直接付给女孩子,仙人跳死全家 为什么要付定金:过滤口嗨,过滤女孩子过去客户不在 闲聊眼子口嗨勿扰,就看资料不想玩的死妈,不要浪费时间,价格实惠,欢迎咨询 (20公里内不要路费,超过自理) 武汉是20公里一百路…
服务范围:武汉全城(全国一二线都可安排),有工作室,可上门酒店,家里。 小圈:1600一次 1900两次 中圈: 1800一次 2200两次 大圈: 2100-2400一次 2600-2800两次 无套内射:2800-3000两次 (武汉大圈价格有所浮动) 包夜:3000起 一次一个小时 两次一个半小时 包夜六个小时3次 女孩职业:大学生兼职,国外留学生、护士、空姐、网红、萝莉(白瘦幼)、cos、洛丽塔、jk、喷水娃、白虎、SM、无套内射、御姐名模、白领、车模、外籍美女、模特、处。 承诺:先选人,看中后一百定金出发。定金算在尾款里面,骗定金死全家,其他尾款女孩子到了直接付给女孩子,仙人跳死全家 为什么要付定金:过滤口嗨,过滤女孩子过去客户不在 闲聊眼子口嗨勿扰,就看资料不想玩的死妈,不要浪费时间,价格实惠,欢迎咨询 (20公里内不要路费,超过自理) 武汉是20公里一百路…
服务范围:武汉全城(全国一二线都可安排),有工作室,可上门酒店,家里。 小圈:1600一次 1900两次 中圈: 1800一次 2200两次 大圈: 2100-2400一次 2600-2800两次 无套内射:2800-3000两次 (武汉大圈价格有所浮动) 包夜:3000起 一次一个小时 两次一个半小时 包夜六个小时3次 女孩职业:大学生兼职,国外留学生、护士、空姐、网红、萝莉(白瘦幼)、cos、洛丽塔、jk、喷水娃、白虎、SM、无套内射、御姐名模、白领、车模、外籍美女、模特、处。 承诺:先选人,看中后一百定金出发。定金算在尾款里面,骗定金死全家,其他尾款女孩子到了直接付给女孩子,仙人跳死全家 为什么要付定金:过滤口嗨,过滤女孩子过去客户不在 闲聊眼子口嗨勿扰,就看资料不想玩的死妈,不要浪费时间,价格实惠,欢迎咨询 (20公里内不要路费,超过自理) 武汉是20公里一百路…
❤2
服务范围:武汉全城(全国一二线都可安排),有工作室,可上门酒店,家里。 小圈:1600一次 1900两次 中圈: 1800一次 2200两次 大圈: 2100-2400一次 2600-2800两次 无套内射:2800-3000两次 (武汉大圈价格有所浮动) 包夜:3000起 一次一个小时 两次一个半小时 包夜六个小时3次 女孩职业:大学生兼职,国外留学生、护士、空姐、网红、萝莉(白瘦幼)、cos、洛丽塔、jk、喷水娃、白虎、SM、无套内射、御姐名模、白领、车模、外籍美女、模特、处。 承诺:先选人,看中后一百定金出发。定金算在尾款里面,骗定金死全家,其他尾款女孩子到了直接付给女孩子,仙人跳死全家 为什么要付定金:过滤口嗨,过滤女孩子过去客户不在 闲聊眼子口嗨勿扰,就看资料不想玩的死妈,不要浪费时间,价格实惠,欢迎咨询 (20公里内不要路费,超过自理) 武汉是20公里一百路…
服务范围:武汉全城(全国一二线都可安排),有工作室,可上门酒店,家里。 小圈:1600一次 1900两次 中圈: 1800一次 2200两次 大圈: 2100-2400一次 2600-2800两次 无套内射:2800-3000两次 (武汉大圈价格有所浮动) 包夜:3000起 一次一个小时 两次一个半小时 包夜六个小时3次 女孩职业:大学生兼职,国外留学生、护士、空姐、网红、萝莉(白瘦幼)、cos、洛丽塔、jk、喷水娃、白虎、SM、无套内射、御姐名模、白领、车模、外籍美女、模特、处。 承诺:先选人,看中后一百定金出发。定金算在尾款里面,骗定金死全家,其他尾款女孩子到了直接付给女孩子,仙人跳死全家 为什么要付定金:过滤口嗨,过滤女孩子过去客户不在 闲聊眼子口嗨勿扰,就看资料不想玩的死妈,不要浪费时间,价格实惠,欢迎咨询 (20公里内不要路费,超过自理) 武汉是20公里一百路…
黄鹤楼 榜单 聊天群 评论群 日报 好评区 已验证,皮肤白嫩,身材好,长相清纯,任盘 9月更新 #大圈 看中转发给客服 价格:1p60分钟2400 2p90分钟2800 【联系客服】@whww6464 【双向联系】@Wuhan34876bot (20公里内包路费,超过自理) 上门服务 任何武汉的妹妹的资料都可以拿过来问,全网价格最低,诚信靠谱 【好评摘录】🚙报告区
❤1
黄鹤楼 榜单 聊天群 评论群 日报 好评区 已验证,皮肤雪白,身材好,长相清纯,回头客多 9月更新 #大圈 看中转发给客服 价格:1p60分钟2400 2p90分钟2800 【联系客服】@whww6464 【双向联系】@Wuhan34876bot (20公里内包路费,超过自理) 上门服务 任何武汉的妹妹的资料都可以拿过来问,全网价格最低,诚信靠谱 【好评摘录】🚙报告区
Showing the 8 most recent of 8 posts we hold for @wuhanlou5. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“🚙武汉外围榜🚙” (@wuhanlou5), 6,651 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/wuhanlou5.
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.