【时间】:2026-09-23 【老师】:小优 【留名】:feng lin 【人照】:7 【颜值】:7 【身材】:6 【服务】:3 【态度】:3 【环境】:5 【综合】:5.17 【过程】:首次给低评分,体验感全无,真还不如丢七张到长江,从约课开始都还正常,我还特意询问了酒后是否可接(本人高度酱香一斤半的量,喝了两瓶啤酒)出发前询问老师是否可行,老师开玩笑说不会打她就行,于是就奔赴教室准备上课,正常流程进门后简单聊了一下天,随后我独自洗澡,我问老师她说洗过了,随后我独自擦干后躺床上等待上课,等待上课时老师开了三次房门,说有东西要给别人,我很懵,也没说啥,随后老师卸下衣物,上来给我舔咪咪,抚摸qq,然后吃了两三分钟勾勾,齿感是没有,但是老师吃不深(也不怪罪,毕竟樱桃小嘴)后面进入正题,给我带上小雨伞后坐上位,过程其实都还算正常,不满意的是 我00.00进的门,00.37我自洗完澡,在小于三十七分钟的过程中,除去我进门抽烟,洗澡,等…

Channel
武汉报告参考📝
@whbgcankao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
34,102subscribers
+3,293 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 | -1002082928536 |
|---|---|
| Type | Channel |
| Username | @whbgcankao |
| Description | 报告包含强烈个人情感 掺杂他人自身情绪于喜好 别人喜欢你不一定喜欢 好评不一定好,可能是造假找枪手刷的! 差评不一定差,可能是部分人一己私欲的请求没被同意,怒起泄愤! 无论好评差评,都是情绪化产物,优点或者缺点被夸大其词,请各位素质出击,如实评论反馈。 报告仅供参考,出击自行判断 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/whbgcankao |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 14:57 | 34,102 | +233 |
| 17 Sept 2026, 03:57 | 33,869 | +226 |
| 15 Sept 2026, 05:21 | 33,643 | +190 |
| 13 Sept 2026, 14:36 | 33,453 | +151 |
| 11 Sept 2026, 21:56 | 33,302 | +247 |
| 9 Sept 2026, 09:21 | 33,055 | +407 |
| 5 Sept 2026, 23:18 | 32,648 | +366 |
| 3 Sept 2026, 18:38 | 32,282 | +220 |
| 2 Sept 2026, 13:03 | 32,062 | +120 |
| 1 Sept 2026, 11:13 | 31,942 | +93 |
| 31 Aug 2026, 14:13 | 31,849 | +143 |
| 30 Aug 2026, 13:29 | 31,706 | +131 |
| 29 Aug 2026, 10:11 | 31,575 | +169 |
| 28 Aug 2026, 10:07 | 31,406 | +129 |
| 27 Aug 2026, 11:33 | 31,277 | +104 |
| 26 Aug 2026, 13:33 | 31,173 | +121 |
| 25 Aug 2026, 16:24 | 31,052 | +60 |
| 24 Aug 2026, 18:23 | 30,992 | +294 |
| 23 Aug 2026, 01:23 | 30,698 | +243 |
| 21 Aug 2026, 11:36 | 30,455 | first reading |
Engagement
1,006 posts held, back to 8 August 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 71 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.767%
- avg views ÷ 34,102 subscribers
- Avg views / post
- 261
- 557 posts measured
- Reaction rate
- 1.77%
- reactions ÷ views · ER floor
- Posts in window
- 557
- of 1,006 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 143 of 557 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 1,006 (8 August 2026 – 22 September 2026) |
| Views total | 145,632 |
| Reactions total | 820 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 17:24 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
- ≈5,150
- Videos
- ≈380
- Links
- ≈3,290
Lifetime counters from Telegram’s own channel header, read 22 September 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
- 9m 27s
- Average length
- 10s
Measured directly from 56 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
2,485 reactions across 220 posts, in 13 distinct kinds. The most used accounts for 11.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 295 | 11.9% | |
| 🔥 | 237 | 9.54% | |
| 💯 | 229 | 9.22% | |
| 😁 | 227 | 9.13% | |
| 😍 | 223 | 8.97% | |
| 👍 | 220 | 8.85% | |
| 😢 | 220 | 8.85% | |
| 🤔 | 216 | 8.69% | |
| 🙏 | 212 | 8.53% | |
| 👏 | 210 | 8.45% | |
| 🎉 | 192 | 7.73% | |
| 👎 | 3 | 0.121% | |
| 💘 | 1 | 0.04% |
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 252 of the 1,000 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 2,485 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 August 2026 to 22 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
【时间】:2026-09-22 【老师】:阿紫 【留名】:ff ff 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:今天闲来无事,看到老师广告,进入频道,老师照片很吸引我,果断和妹妹预约好时间,遥控上楼,人照一样无差。付了水费,帮忙拖衣服洗澡,全自动完全不用自己动手,我还特意看了一下,老师下面和照片一样,看着很嫩很紧的感觉,看着我就硬了,洗完后擦干水费,妹妹让我选择她的战报,都看花眼了,太多选择了,换好衣服开始服务了,先是调情很诱惑,差点搞射了,我马上提醒,开始进入主题,中间换了几个姿势,妹妹很可爱很温柔,全程会指引你,做的时候也很有感觉,反正态度非常好,过程也很愉快 ✳️Powered by @whkdyyy
【时间】:2026-09-22 【老师】:艾琳 【留名】:二手 【人照】:10 【颜值】:9 【身材】:8 【服务】:10 【态度】:10 【环境】:10 【综合】:9.5 【过程】:心情郁闷看到老师在线就来了,人照满分,甚至本人比照片好看,非常真诚。老师虽是嫩妹,技术上看有是有一定经验的,只要你主动提要求,基本都会配合,适合喜欢嫩妹+爱主动操盘的兄弟。聊完之后好些了 ✳️Powered by @whkdyyy
【时间】:2026-09-22 【老师】:小蛋糕 【留名】:榆 桑 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:晚上色瘾犯了,正好看到老师就在附近。果断约课。一见面就被老师颜值征服,真人照合一。服务也很好,基本有求必应,还会二刷。 ✳️Powered by @whkdyyy
【时间】:2026-09-22 【老师】:格格 【留名】:小新 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:阴雨绵绵的天气,适合出击。联系上格格老师。居民楼的小区,安全系数 100 分。一开门、格格老师笑脸相迎,想极了迎接老公回家。扑面而来的淡淡香水味儿,很好闻。不浓不淡,刚刚好。格格老师果然服务系天花板,服务态度一流,严格按照课表的服务流程进行。还会跟你沟通舒服不,要不要再热情一点。太棒了,🐍到你天昏地暗。各种姿势配合,让你体验帝王般的待遇。奈何我是个秒男,哎、扛不住格格老师😭。下次有机会还要来。 ✳️Powered by @whkdyyy
【时间】:2026-09-23 【老师】:小伊 【留名】:无所 喂 【人照】:9.9 【颜值】:9.99 【身材】:9.99 【服务】:9.99 【态度】:9.99 【环境】:9.89 【综合】:9.96 【过程】:冥冥之中还是有一些缘分,群里不知啥时候看到,然后就关注了,一直没时间,这次正好出差过来,离得也很近,于是提前一天就开约,刚刚好老师也在,就立马约上了,遥控上楼,推门而入,映入眼帘,高挑身材面容都姣好的美女,站在房间最里侧,穿着高跟鞋,非常高挑,身材也是非常好,声音非常温柔,让我歇一下,她去放水。放好水让我去洗一下,洗完躺床上,老师开始服务,看着就一嫩妹,没想到还有服务,让没服务嫩妹咋活哈哈哈哈,服务也是没得说,非常到位,专业,认真,不像那种草草了事的那种,而是每一步每个动作都非常之到位,非常舒服,然后给我口,各种姿势的口,口技也是非常了得。然后开始干我,小穴也是非常之紧,非常舒服,换我上,也是换了两三个姿势,最后也是…
【时间】:2026-09-23 【老师】:萌萌 【留名】:沐 晨 【人照】:10 【颜值】:10 【身材】:9 【服务】:8 【态度】:9 【环境】:8 【综合】:9 【过程】:第一眼看到萌萌小小个很可爱 交完水费去洗澡 萌萌很认真的帮我揉洗小弟弟 看到萌萌那奈子 奶晕很大想舔上去 洗完澡后在床上等着萌萌上了床就开始做服务 口的很舒服 我的小弟弟很享受 站了起来 服务完后 轮到我来了 可惜嫩妹不能扣😭 完事后戴上t 进去之后感到很暖暖的 抽插了一会 越来越紧 顶到底ls就呻吟很大声 给我带来享受到感觉 好喜欢萌萌的呻吟声 🐍纹她不喜烟味 不然要我边🐍边抽插 可惜我弟弟不争气 不能女上 没多久手机响了 提示我时间到了 这说明萌萌很有时间规划 也是给我点时间让我出水了 没有停止 👋出 萌萌真好 唯一不足的是时间太短 没玩尽兴就要离开 弟弟不争气玩不了pp 只能p 想二刷萌萌😍。 ✳️Powered by @whkdyyy
【时间】:2026-09-22 【老师】:小优 【留名】: 【人照】:9.5 【颜值】:8.5 【身材】:8 【服务】:8 【态度】:8 【环境】:8 【综合】:8.33 【过程】:是一个刚下水的妹妹,下面很紧很敏感,弄几下就水汪汪的。 很可惜的是大把时间来搞反方向的钟了,没有做多久,但是下面也是真的紧。 又湿又紧又烫 ✳️Powered by @whkdyyy
【时间】:2026-09-22 【老师】:兽兽 【留名】:Misaki26 【人照】:9.9 【颜值】:9.9 【身材】:9.9 【服务】:9.9 【态度】:9.9 【环境】:9.9 【综合】:9.9 【过程】:下午刷到兽兽宝宝,看到频道里一袭红裙照片自然真实,几乎无修图痕迹,便发消息约试。刚好有空,我从青山驱车30公里过来。下着小雨到了停车场,上楼看到复古装修的小房间,暖黄调十分温馨。开门便是兽兽妹妹,小小一只极其可爱,比照片还好看!之前问她有没有丝袜,她说找到了点外卖送过来。随后去洗澡,妹子很有礼貌且耐心,进浴室提醒我小心地滑,洗完还帮我擦背,非常细致。随后上床,妹妹穿上肉丝,腿很好看。她主动贴上来,口活不错很舒服。因丝袜不是开裆的便由我撕开,体验极佳。接着直接传教士,妹子里面包裹感很足、很暖和且较浅,一下就插到底。她非常主动,在身上不停扭动,能感觉到她下面越来越紧、喘息越来越急。看到她的丝袜小脚忍不住吃了起来,最后把腿抬高…
【时间】:2026-09-22 【老师】:艾琳 【留名】:Goyi Out Guyg 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:前几天刚来过一次,感觉老师服务很好,这次提前约了晚上的课,一样的流程很谨慎,进门服务依旧好,没有说是老客就敷衍,然后口活是我见过的最好的老师,下次继续出击 ✳️Powered by @whkdyyy
【时间】:2026-09-22 【老师】:安以轩 【留名】:E C 【人照】:8 【颜值】:8 【身材】:8 【服务】:9.9 【态度】:9.9 【环境】:8 【综合】:8.63 【过程】:进门后老师先是递上一瓶水,全程笑脸相迎,人照符合预期,🐻看着很大,坐着简单聊会儿就开始上下其手。 服务一:陪浴,臀推,水中萧 LS先洗干净后用她的大屁股配合沐浴露泡沫给🐔上下摩擦,我手也使劲揉搓着大🐻。一顿摩擦下🐔起立后,LS蹲下含一口热水开始水中萧。这才叫鸳鸯浴。 服务二:情趣内衣,全身👅,口深喉,舔🥚,做♥️,🐍 到床上躺着,LS问我想要什么情趣内衣,换上黑丝后开始调情,👅吻全身配合指滑,什么都不想只有享受,然后把🐔整根吞入,温暖包裹全身。老师的口活是我遇到过的数一数二的,毫无齿感搭配手法直接让我差点交待。直接让老师戴套开始,先女上直接蹲起打桩,简直爽飞,后换我上直接插到底,中途看着LS忍不住🐍吻,LS 主动伸出👅配合,一顿抽插后伴随着L…
【时间】:2026-09-22 【老师】:夏天 【留名】:WINTER 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:很久没有写过出击🤜了,ls很主动 ,也很用心。很有反差感,脸看上很纯欲但是床上又很骚服务资料卡上的服务都会去做。很满意,奶大,粉又挺,水多。叫声很淫荡,全程都在配合我。性格很温柔,床下温柔体贴,床上也很有满足感。是我很喜欢的这款。好评。 ✳️Powered by @whkdyyy
Showing the 12 most recent of 1,006 posts we hold for @whbgcankao. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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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
Names
Channels on the register whose handles appear in this channel's posts.
@whkdyyy · 64,739916 posts武汉老师打卡群
@whlsdaka · 32,30782 posts🙋🏻♀️资源易查询
@XiaomengGroupBot · 29,34049 posts武汉4t养生会所
@wuhanspau · 14,5357 posts妙妙~泰式抓龙筋
@dashudamd · 2,1206 posts甜心|硅胶娃娃
@Txsnqg · 13,3066 posts武汉夜生活(支持U)
@Wh_Yeshenghuo · 11,3496 posts武汉老师公开榜
@whzygxq · 79,0706 posts💄服务系三通午夜🉑sm课可剧情课🉑上🚪🉑夜1
@wy091688 · 9302 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“武汉报告参考📝” (@whbgcankao), 34,102 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/whbgcankao.
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.