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Channel

武汉兰苑《报告》

@wuhan_999

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

20,464subscribers

-186 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002954585179
TypeChannel
Username@wuhan_999
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
CreatedBetween 1 August 2025 and 31 October 2025— 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_999

Growth

20,46420,65020,5578 August 2026 — 20,650 subscribers8 August 2026 — 20,636 subscribers9 August 2026 — 20,611 subscribers10 August 2026 — 20,574 subscribers11 August 2026 — 20,554 subscribers12 August 2026 — 20,520 subscribers13 August 2026 — 20,502 subscribers14 August 2026 — 20,464 subscribers8 August 202614 August 2026
8 measurements spanning 7 days, net -186. 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 20,436–20,678 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:2320,464-38
13 Aug 2026, 12:3420,502-18
12 Aug 2026, 14:2420,520-34
11 Aug 2026, 13:4520,554-20
10 Aug 2026, 15:2420,574-37
9 Aug 2026, 12:3520,611-25
8 Aug 2026, 10:5220,636-14
8 Aug 2026, 03:2120,650first reading

Engagement

33 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 20,464 subscribers
Avg views / post
2,780
33 posts measured
Reaction rate
0.017%
reactions ÷ views · ER floor
Posts in window
33
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 33 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 held33 (30 July 202614 August 2026)
Views total91,745
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 20:00 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
164
Videos
15
Links
145

Lifetime counters from Telegram’s own channel header, read 15 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
30s
Average length
15s

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

2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
150.0%
👍150.0%

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 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 2reactions 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 30 July 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, 06:58 UTC≈6,380 viewsread 15 August 2026

【时间】:2026-08-14 【老师】:君君 【留名】:匿名 【人照】:9 【颜值】:9.8 【身材】:9.7 【服务】:9.8 【态度】:9.8 【环境】:9.7 【综合】:9.63 【过程】:【服务过程】:这天闲来无事逛逛榜单上有没有上新老师,一眼就相中了君君老师于是立马私聊询问能不能排课,老师回复也是很及时约好时间就立马往老师课室狂奔了,到楼下给老师发照片遥控上楼,一进门就被老师颜值吸引了,人照一致,老师课室也很暖和环境很好,于是直接交水费开始洗澡,洗完澡就开始体验老师的口活了,真的是欲仙欲死,硬了后就立马带上小雨伞开始传教士,这么好的老师以后有空一定还会二刷三刷的 【推荐程度】:9.5

Signed 武汉兰苑管理机器人

13 Aug 2026, 16:10 UTC≈3,900 viewsread 15 August 2026
Photo

【时间】:2026-08-14 【老师】:星星 【留名】:ZH 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.83 【过程】:老师遥控上楼,人照一致,小小个子但是胸超大,进门交了水费就给我洗白白,服务课表上的都有,出了两次,爽歪歪,要出击的不要犹豫,可以冲,必须二刷

Signed 武汉兰苑管理机器人

13 Aug 2026, 15:40 UTC≈2,780 viewsread 15 August 2026
Photo

【时间】:2026-08-13 【老师】:颖儿 【留名】:匿名 【人照】:9 【颜值】:9.2 【身材】:9.4 【服务】:9.6 【态度】:9.6 【环境】:9 【综合】:9.3 【过程】:今天约了颖儿妹妹,约好时间,到达房间,老师对我微微一笑,笑起来挺好看的,老师身材特别好,皮肤也挺好,五官精致,简直比照片好看太多了,说话风趣幽默,是我喜欢的,洗澡擦干到床上,我说直接后面,老师二话不说就把屁股给我翘着了,看着那白花花的屁股,那视觉感,那真是刺激呀,老师叫我温柔点,我可是一直很照顾老师感受,进入真的好紧,好紧,好紧呀,进去几把还有点疼,在我温柔的抽插中,我的几把爽到极点了,越爽越快,越来越快,越来越快,在老师的骚叫中,完事,态度非常好,情绪价值也好,下次还来。

Signed 武汉兰苑管理机器人

13 Aug 2026, 15:33 UTC≈3,940 viewsread 15 August 2026
Photo

【时间】:2026-08-13 【老师】:颖宝 【留名】:匿名 【人照】:8.5 【颜值】:9 【身材】:9.5 【服务】:9.5 【态度】:9.6 【环境】:9 【综合】:9.18 【过程】:推开门 老师穿了一件若隐若现的白色吊带睡裙 一对雪白的兔子呼之欲出 身材保持极好 老师很健谈 也很会调节气氛 简单洗漱以后 老师给我帮忙擦干净 来到房间 服务很好 接下来就开始服务 小舌头又软又灵活 吸舔得特别认真 小舌头不停地丝滑贯穿 口活绝 把我舔得梆梆硬 完全停不下来 这种被照顾的感觉特别舒服 一下没停歇。 技术好又会照顾人 老师身体也很敏感 摸她的时候呼吸渐渐重了起来 呻吟也特别勾人 整个氛围很到位 接着我们做了起来 又换了很多姿势 她特别配合 最后女上收尾 他一边摇 一边眼神直勾勾地看着我 那一刻很带感 一股脑没有控制住 释放了出来 这次很爽 做的很舒服 一整个身心愉悦

Signed 武汉兰苑管理机器人

13 Aug 2026, 10:43 UTC≈5,180 viewsread 15 August 2026

【时间】:2026-08-13 【老师】:白蝴蝶 【留名】:abcxiao 【人照】:9.9 【颜值】:9.9 【身材】:9.9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.95 【过程】:一般来说,我本人很难真正“出水”,哪怕服务再到位也常常只是半途而止。可白老师这一次彻底打破了这个惯例。她始终秉持着“既然是我的客人,就绝不能让他败兴而归”的原则,用执着认真的态度,在一个多小时的时间里,完整、细致、毫无保留地完成了全部服务流程。那种专业与体贴交织的服务精神,已经远远超出普通期待。就冲这份态度与责任感,我给十颗星都觉得不够,恨不得再加几颗。 再说到具体服务本身,说句实话,我是真的大开眼界。手法、节奏、互动方式、对客人反应的敏锐捕捉,每一个环节都处理得游刃有余又充满诚意。在这个价位里,能遇到如此高质量、如此用心的服务,实在难得。哪有这么好的服务?哪有这么好的服务,还是这个价格?体验过后只觉得值回票价,甚至远超预

Signed 武汉兰苑管理机器人

13 Aug 2026, 06:03 UTC≈7,800 viewsread 15 August 2026

【时间】:2026-08-13 【老师】:泡芙 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:9.8 【服务】:10 【态度】:10 【环境】:9.5 【综合】:9.88 【过程】:人照无差,真人更加可爱,搭配身高,基本上校园校花级别。无符文加分,气质不俗,不是那种叽叽歪歪的精神小妹,颜值高的模特身材 小甜妹,萌萌哒,很可爱,身材无可挑剔。不催,很聊得来。下次再来

Signed 武汉兰苑管理机器人

12 Aug 2026, 19:03 UTC≈2,460 viewsread 15 August 2026

【时间】:2026-08-13 【老师】:白蝴蝶 【留名】:匿名 【人照】:10 【颜值】:9.8 【身材】:9.9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.95 【过程】:为了追求最完整的体验,果断选择了白老师的七十项全套服务。结果还是高估了自己——老师的各种服务项目模式新颖、花样丰富,手法更是一绝,节奏把控与刺激程度都远超预期。无奈自身状态跟不上,大概只体验了一半多就提前缴械投降了。对自己体能和耐力比较有自信的兄弟,真的可以来挑战一下,绝对值回票价。 从进门开始,基本上就完全不用自己动手,全程都是等着老师细致入微地服务。白老师还持有医师证,中途休息时做的精油推背和按摩手法专业又舒服,力度与技巧都没得说,紧绷的身体很快就放松下来。 老师特别会照顾人,服务过程中的各种细节都让人感觉很贴心、很舒服。进门第一句就会关心地问有没有吃过饭,甚至主动帮忙点餐;结束后洗完澡,还会细心地帮忙擦鞋。这些看似小事的举动,

Signed 武汉兰苑管理机器人

12 Aug 2026, 14:33 UTC≈2,600 viewsread 15 August 2026

【时间】:2026-08-12 【老师】:小葡萄 【留名】:匿名 【人照】:9 【颜值】:9.2 【身材】:9.3 【服务】:9.6 【态度】:9.6 【环境】:9 【综合】:9.28 【过程】:淫雨霏霏搞的人心里痒痒的,联系了小葡萄老师!立刻约上课出发!开门后很热情的领到沙发上然后帮忙拿拖鞋,冰箱里都是准备好的饮料,这个服务真的贴心!交完学费脱哐哐洗白白,老师会很认真的搓洗重点部位,然后会时不时的蹭一下勾一下,邪火一下子就上来了!迫不及待进屋被要求趴下,然后就感觉柔软的大奶子开始来回搓背,搓着搓着感觉到老师的两颗葡萄慢慢的变硬了,在我觉得床要被窝戳一个洞的时候老师让我翻身,翻过来又是一顿胸推,这次可以清楚的观察到葡萄由软变硬的全过程!胸推真的推了好久,再接下去开始口,口技的包裹感巨好,口了一会我吃不消了赶紧让老师帮忙带伞干活。卧槽老师下面紧的吓人,明显感到来回有很强烈的阻力。知道坏菜了这是要被秒,果不其然五分钟不到俺就交代了。

Signed 武汉兰苑管理机器人

12 Aug 2026, 12:13 UTC≈3,200 viewsread 15 August 2026
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【时间】:2026-08-12 【老师】:雪莉 【留名】:匿名 【人照】:8.5 【颜值】:9 【身材】:9 【服务】:9.2 【态度】:9.2 【环境】:9 【综合】:8.98 【过程】:距离有点远我早早出发了 开门进门心动不已 喜欢 给了🧵金 从头到位打量老师 大长腿 简直就是我的最爱 一起沐浴了 享受着尤物的服务 来到房间擦干躺着 老师很会调情 玉手抓着我的jj来回游动 软软的手摸着我敏感的龟头 一边慢慢亲吻下去 用她灵活的舌头来回吃着 太有感觉啦 简直受不了 我站起来扶着他的头。抓着j一下子塞进她温润的嘴巴里 来回抽插… 实在太爽了 受不了了 带伞开干 在他洞口磨磨蹭蹭 然后一冲到底 老师啊嗯..叫着 你顶得好深啊 一直骚喊着 好爽 要我用力操死她…… 包裹得我紧紧的 敏感水多 一起战斗十分钟左右 交了作业 和老师交流非常愉快

Signed 武汉兰苑管理机器人

10 Aug 2026, 12:04 UTC≈3,810 views1 reactionsread 15 August 2026
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【时间】:2026-08-10 【老师】:小茶 【留名】:匿名 【人照】:9.2 【颜值】:9 【身材】:9.3 【服务】:9.6 【态度】:9.5 【环境】:9 【综合】:9.27 【过程】:果断出击,到地方后一开门,一张酷似御姐带羞涩的脸探了出来,我就知道没白来,引导上楼,妹妹穿着情趣内衣,长的也太诱人了,赶紧交费洗澡,妹妹洗的很认真,洗的我硬邦邦,上床后妹妹一个翻身坐我身上,开始边蹭边舔,这哪是嫩妹能有的服务!慢慢滑下去开始口,口的时候还会用很魅惑的眼神看着你,真是忍不了直接戴上小雨伞开骑,妹妹就像个电动小马达,小腰很有力,骑的时候还会主动抓住我的手捏她的胸,我真的忍不了,一个翻身把妹妹压在身下,开始疯狂🐍,妹妹回应的也很激烈,过程中换了几个姿势,都很配合,做的过程中妹妹还会偶尔含着自己的手指,刺激感拉满,最后在精疲力尽中释放,结束后妹妹也没催,聊了很久的天,像个小女友一样,后来发现妹妹其实是个小逗比,哈哈,最后走的时候下

1

Signed 武汉兰苑管理机器人

10 Aug 2026, 03:45 UTC913 viewsread 15 August 2026

【时间】:2026-08-10 【老师】:君君 【留名】:匿名 【人照】:9.8 【颜值】:9.7 【身材】:9.6 【服务】:9.8 【态度】:9.8 【环境】:9.7 【综合】:9.73 【过程】:【服务过程】:进门,老师对我热情的打了招呼,交完水费,洗完澡就,看到老师那张美丽的脸庞想要提前开始战斗,黑丝长腿更加色情性感,真的太让人把持不住了,从后面深深插入,看着老师性感的长腿猛烈撞击老师大屁股,里面又紧又湿,皮肤很白,也很滑,老师说话也是非常热情大方,总之来说就是非常喜欢,还会继续出击的 【推荐程度】:9

Signed 武汉兰苑管理机器人

8 Aug 2026, 15:27 UTC≈1,240 viewsread 15 August 2026
Video

【时间】:2026-08-08 【老师】:若萱 【留名】:匿名 【人照】:8.5 【颜值】:9 【身材】:9.5 【服务】:9.8 【态度】:10 【环境】:9 【综合】:9.3 【过程】:周末跟老师约了时间 遥控开门上楼 看见老师第一眼 五官精致 皮肤白皙 奶也很大 衣服性感 完美😍 我喜欢有点肉 做起来了很舒服的 不喜欢干瘪的 交了水费洗澡 老师培育 又给我擦干净 来到床上老师那对雪白的奶子 一摇一晃 小弟压制不住的冲动 老师一口含住我的小老弟 吃了起来 👄功夫厉害 简直要上天了不行了 不等老师做完服务 我要开车高速了 进去的时候有点紧 不过好滑 很爽 一个老汉推车。翻滚一会儿 在换上位 他发力 一个劲儿屁股哒哒哒 几分钟吧我干完了 交代了 我…哎 😭 早知道不上位了 多玩一会儿 她功夫太厉害了

Signed 武汉兰苑管理机器人

Showing the 12 most recent of 33 posts we hold for @wuhan_999. 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 — 385,935 of 1,481,217entries 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.

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《报告》” (@wuhan_999), 20,464 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/wuhan_999.

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.