Telegram RegisterThe public register of Telegram

Channel

武汉兰苑榜单

@wuhan_899

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

73,423subscribers

-548 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003744135121
TypeChannel
Username@wuhan_899
Description武汉兰苑的上榜老师均已通过特别验证;认证榜的老师都已经过视频认证,请君放心挑选 武汉兰苑老师验证上榜推广👉: @wuhan_88 私聊限制可以留言机器人: @wuhan123456_bot 武汉兰苑主群: https://t.me/wuhan_lanyuan 武汉兰苑老师认证榜: https://t.me/wuhan_899 报告群:https://t.me/wuhan_999
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/wuhan_899

Growth

73,38373,97173,6778 August 2026 — 73,971 subscribers8 August 2026 — 73,964 subscribers9 August 2026 — 73,864 subscribers10 August 2026 — 73,756 subscribers11 August 2026 — 73,587 subscribers12 August 2026 — 73,482 subscribers13 August 2026 — 73,383 subscribers14 August 2026 — 73,423 subscribers73,4238 August 202614 August 2026
8 measurements spanning 6 days, net -548. 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 73,295–74,059 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 10:1473,423+40
13 Aug 2026, 02:4673,383-99
12 Aug 2026, 02:4373,482-105
11 Aug 2026, 00:1473,587-169
10 Aug 2026, 01:5173,756-108
9 Aug 2026, 03:5373,864-100
8 Aug 2026, 06:5273,964-7
8 Aug 2026, 03:2173,971first reading

Engagement

14 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.994%
avg views ÷ 73,423 subscribers
Avg views / post
730
14 posts measured
Reaction rate
0.244%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 9 of 14 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 14 August 2026
Posts held14 (4 August 202614 August 2026)
Views total10,221
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 10:36 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
218
Videos
26
Links
47

Lifetime counters from Telegram’s own channel header, read 14 August 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
1m 05s
Average length
9s

Measured directly from 7 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

14 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 92.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1392.9%
👌17.14%

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 14 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 14reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 4 August 2026 to 14 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

14 Aug 2026, 08:30 UTC≈1,420 viewsread 14 August 2026
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以下是各地区所有上榜老师 洪山区 SM梦梦 小苏苏 瑶欣儿 雪莉 君君 若萱 肉嘟嘟 颖宝 雨熙 团团 瑶瑶 夏沫 光谷 小葡萄 念念 南湖 子琪 猪儿虫 可可 小七 青柠儿 泡芙 硚口区 白蝴蝶 武昌区 楠枳 颖儿 徐东 苏苏 江岸区 BiBi 阿依姑力 白沙洲 小茶 雯雯 星星 汉阳区 欣欣 上门 媛媛 商家店 硚口区高端会所 6T 私影MMK 94高端海选4T 武汉认证8T

12 Aug 2026, 15:13 UTC≈1,380 viewsread 14 August 2026
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📊 1条车评,综合评分9.83 好评 100% |人照 10 |服务 10 中评 0% |颜值 10 |态度 10 差评 0% |身材 10 |环境 9 【常驻群】武汉兰苑 榜单 报告群 上榜联系 💃🏻【芳名】#星星 #95老师 🏠【位置】#白沙洲 💵【课费】#400 ✈️【联系】@eeswarannnn 🤖【备用联系】@Xiaoluoujhyjjyubot 🎉【频道】https://t.me/xingxingdepy 💯【标签】#95老师 #口爆 #按摩 #毒龙 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

12 Aug 2026, 12:04 UTC≈1,360 views2 reactionsread 14 August 2026
Photo

📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 上榜联系 💃🏻【芳名】#夏沫 🏠【位置】#洪山区 💵【课费】#6p #12pp ✈️【联系】@xiaorubaobaokaike 🤖【备用联系】@xiamo65589_bot 🎉【频道】https://t.me/xiamo65537 💯【标签】#新人 #纯天然 #嫩妹 #胸推 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

2

12 Aug 2026, 10:44 UTC≈1,290 viewsread 14 August 2026
Photo

📊 7条车评,综合评分9.66 好评 100% |人照 9.43 |服务 9.9 中评 0% |颜值 9.54 |态度 9.93 差评 0% |身材 9.7 |环境 9.46 【常驻群】武汉兰苑 榜单 报告群 报告,投诉,好评 💃🏻【芳名】#瑶欣儿 🏠【位置】#洪山区 南湖 💵【课费】#12p 16pp ✈️【联系】@wh2376 🤖【备用联系】@xinerdexiaowoBot 🎉【频道】https://t.me/whww5488 💯【标签】#嫩妹 #丝袜 #肤白 #大长腿 #水多 作文1 作文2 作文3 作文4 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

12 Aug 2026, 10:18 UTC353 viewsread 14 August 2026
Photo

📊 1条车评,综合评分9.88 好评 100% |人照 10 |服务 10 中评 0% |颜值 10 |态度 10 差评 0% |身材 9.8 |环境 9.5 【常驻群】武汉兰苑 榜单 报告群 上榜联系 💃🏻【芳名】#泡芙 🏠【位置】#洪山区 #南湖 💵【课费】#11p 16pp ✈️【联系】@pf5210 🤖【备用联系】 @xiaoPf_520bot 🎉【频道】https://t.me/paofu5212 💯【标签】#嫩妹 #肤白 #丝袜 #调情 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

12 Aug 2026, 06:09 UTC30 viewsread 12 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 上榜联系 💃🏻【芳名】#苏苏 🏠【位置】#徐东 💵【课费】#5p 10pp ✈️【联系】@susu168kk 🤖【备用联系】 @susu168ygc_bot 🎉【频道】https://t.me/susu558gf 💯【标签】#兼职 #丝袜 #制服 #漫游 #胸推 #肤白 #口爆 备注:#已视频验证 去过麻烦提交报告,夜课预约需收一张定,多要就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

11 Aug 2026, 11:21 UTC396 views1 reactionsread 12 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 报告,投诉,好评 💃🏻【芳名】#颖儿 🏠【位置】#武昌 💵【课费】#6p 11pp ✈️【联系】@yingerby 🤖【备用联系】@yinger316_bot 🎉【频道】https://t.me/yingermmer 💯【标签】#兼职 #肤白 #胸推 #制服 #丝袜 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

1

10 Aug 2026, 04:48 UTC387 views2 reactionsread 12 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 上榜 报告,好评 💃🏻【芳名】#小葡萄 🏠【位置】#光谷 💵【课费】#7p 13pp ✈️【联系】@wxfc12580 🤖【备用联系】@wxyq12580_bot 🎉【频道】https://t.me/WXFC125 💯【标签】#兼职 #三点粉 #大波 #丝袜 #情趣 #按摩 #漫游 #胸推 #69 备注:#已视频验证 去过麻烦提交报告,提前预约需收50到100定金,如果多要就及时 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

2

9 Aug 2026, 11:02 UTC456 views1 reactionsread 12 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 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 预约客服号:@AWNB668 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

1

9 Aug 2026, 10:46 UTC394 views2 reactionsread 11 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 报告,投诉,好评 💃🏻【芳名】#瑶瑶 🏠【位置】#洪山区 💵【课费】#7p 14pp ✈️【联系】@Yaoyao1229 🤖【备用联系】@Xiaoguduo45678Bot 🎉【频道】https://t.me/yaoyao12299 💯【标签】#新人 #兼职 #可上门 #大学生 #丝袜 #制服 #嫩妹 #调情 #御姐 #萝莉 备注:#已视频验证 去过麻烦提交报告,上门或者提前预约需收1张定金 ,多要就别去并 反馈管理 ✏️报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

2

7 Aug 2026, 05:23 UTC445 views1 reactionsread 10 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 上榜 报告,好评 💃🏻【芳名】#小茶 🏠【位置】#洪山区 #白沙洲 💵【课费】#5p 9pp ✈️【联系】@xc18j 🤖【备用联系】@lx188_bot 🎉【频道】https://t.me/mn168lf 💯【标签】#个人兼职 #丝袜 #制服 #角色扮演 #剧情 #莞式按摩 #毒龙 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

1

7 Aug 2026, 05:21 UTC398 views1 reactionsread 9 August 2026
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📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 【常驻群】武汉兰苑 榜单 报告群 上榜联系 💃🏻【芳名】#青柠儿 🏠【位置】#洪山区南湖 💵【课费】#10p 14pp ✈️【联系】@Wh520055 🤖【备用联系】@qingningainibot 🎉【频道】 https://t.me/Wh52005 💯【标签】#兼职 #模特 #丝袜 #制服 #69 备注:#已视频验证 去过麻烦提交报告,要定金就别去并 反馈管理 ✏️ 报告模版 ✉️提交报告 ✍️出击报告,因字符有限,全部报告可在下方评论区或者《报告频道》可全部查看:👇👇

1

Showing the 12 most recent of 14 posts we hold for @wuhan_899. 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 — 251,025 of 1,336,469entries 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

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“武汉兰苑榜单” (@wuhan_899), 73,423 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/wuhan_899.

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.