【时间】:2026-10-02 【老师】:柚子 【留名】:六 小 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:临时约的老师,过来出差 小区位置不错,进门就看到柚子 身材比例很好,真胸曲线好,人也很随和。柚子湿热的舌尖很会舔,舔的我酥酥麻麻我受不了,在柚子丰满的臀部,以及柔情的双手溫热下,很快交货,休息了一会柚子帮按摩手法不错,按着按着我的俩只手就不听使唤的一把抓住老师的双乳,似乎老师感受到我想要的欲望了,用手抚摸着我的老二接着开始了服雾主题,太多细节不一一细说了,总之非常满意的一次出击,老师自身的条件以及细心的服务这个价位值了。非常愉悦的一次体验。一定返场 ✳️Powered by @whkdyyy

Channel
武汉报告参考📝
@whbgcankao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
34,711subscribers
+3,902 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 | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 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 |
|---|---|---|
| 26 Sept 2026, 18:17 | 34,711 | +609 |
| 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 | first reading |
Engagement
1,253 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 89 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.806%
- avg views ÷ 34,711 subscribers
- Avg views / post
- 280
- 565 posts measured
- Reaction rate
- 1.04%
- reactions ÷ views · ER floor
- Posts in window
- 565
- of 1,253 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 126 of 565 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 1,253 (8 August 2026 – 1 October 2026) |
| Views total | 157,986 |
| Reactions total | 425 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 19:19 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
- ≈5,250
- Videos
- ≈399
- Links
- ≈3,310
Lifetime counters from Telegram’s own channel header, read 1 October 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 01s
- Average length
- 10s
Measured directly from 53 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
2,537 reactions across 236 posts, in 13 distinct kinds. The most used accounts for 12.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 323 | 12.7% | |
| 👍 | 243 | 9.58% | |
| 🔥 | 239 | 9.42% | |
| 💯 | 229 | 9.03% | |
| 😁 | 227 | 8.95% | |
| 😍 | 223 | 8.79% | |
| 😢 | 220 | 8.67% | |
| 🤔 | 216 | 8.51% | |
| 🙏 | 212 | 8.36% | |
| 👏 | 210 | 8.28% | |
| 🎉 | 192 | 7.57% | |
| 👎 | 2 | 0.079% | |
| 💘 | 1 | 0.039% |
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 270 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 2,537 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 17 August 2026 to 1 October 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】:2026-10-01 【老师】:阿紫 【留名】:who pikaqiu 【人照】:5 【颜值】:5 【身材】:2 【服务】:0 【态度】:0 【环境】:0 【综合】:2 【过程】:第一次让我特别生气去专门写车评的一个老师,服务态度真的差的离谱。我到了地方,进去后房间包括大厅只有氛围灯,因为感觉比较暗,所以随口说了一句老师怎么不开灯,这老师就说怕别人看见,直到我去洗澡的时候,因为卫生间太黑了,我又习惯关门洗,所以又问了一句洗澡的时候开灯可以不,结果这老师莫名其妙应激了:要么我把钱退给你吧,我不想接了。不是,现在服务行业钱这么好赚吗,这服务态度。我大老远跑过来我忍了,自己摸黑洗完后开始做服务。做服务的时候又是有气无力,说话也是给人一种我累得要死的感觉。说真的虽然我是晚上十点去的,但不至于你像是被千人骑万人踩的样子吧。自己女上没多久后就要换姿势,我说要不传教士一下,她给我来了句最让我生气的话:你就后入冲几下解决了吧。真的把我…
【时间】:2026-10-01 【老师】:茉莉 【留名】:無名 【人照】:9 【颜值】:9 【身材】:9.2 【服务】:9.5 【态度】:9 【环境】:8.5 【综合】:9.03 【过程】:茉莉是属于越看越好看的那种,脸型干净,气质里带着点乖巧。服务时态度端正又热情,完全没有敷衍。 深喉漫游这些都做得特别认真,技巧熟练,节奏掌控得很好,偶尔会用眼神交流确认状态。换上制服丝袜后整体氛围一下子提升,腿部线条在丝袜下更显修长,各种姿势切换都很配合。整场下来既主动又不越界,结束时还温柔道谢,让人感觉被认真对待。宝藏级别的体验,推荐。 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:艾琳 【留名】:Jack Tom 【人照】:10 【颜值】:10 【身材】:9 【服务】:10 【态度】:9.5 【环境】:9.8 【综合】:9.72 【过程】:到达约定时间,遥控上楼,开门看到老师喜出望外,跟频道照片一样,妆容精致,身高165,小胸,对我来说身材简直完美。帮洗完后,躺床上开始服务,调情口活认真,无齿感技术好,皮肤特别嫩滑,真是让人欲罢不能,前戏做完直接上乘骑位服务,下面非常紧,刚入口好像被吸住了一样,边做边🐍吻,这个服务简直了,体验相当不错这个价位这个颜值身材超值,必返!!! ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:雨烟 【留名】:给我吃点好的吧 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:天气转冷 本来觉得状态不行但已经答应老师了毕竟问了两天了 还是前往 身材长相真的很漂亮 老师陪洗很仔细 知道我冷不论是厕所的暖风还是房间的空调都足足的 老师绝对大蟒蛇 因为我不要毒🐉 所以狠狠的🐍 投入度绝了 本来我觉得我状态不行 那个👄真的深深的爽 一下子就要我找回了状态 我都叫停了服务 直接正戏 123败给了ls的投入度 下次一定还会来 绝对值 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:柠檬 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:闲来无事 发现了柠檬老师 准备去一探究竟 约了课给了定金 出发 到达指定位置 老师一开门 眉眼特别好看 五官很甜美 跟照片基本上一模一样 递鞋子 洗澡 帮你擦水啊 特别贴心 服务也是不说了 胸型好看 很软 户型也好看很粉嫩 水多 真的很不错的一个妹妹 值得各位去试一试 非常推荐 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:芸芸 【留名】:C Doudou 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:天气很冷老师还是不远几十里上门过来了,身材没的说完美的嫩妹组合,特别适合我自带的白丝少萝和黑丝女仆服,非常满意的一次出击体验。 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:茉莉 【留名】:至尊宝 【人照】:9 【颜值】:9.2 【身材】:9 【服务】:9.8 【态度】:9.5 【环境】:9 【综合】:9.25 【过程】:国庆长假来临,决定放松下,约了新上榜的茉莉妹子,根据妹子的消息 很快就到了教室。开门就看到茉莉那美丽的容颜,高挑的身形,和照片9分像,胸在C左右,肉肉的摸起来非常舒服,是我喜欢的类型 先和老师洗了鸳鸯浴,迫不及待进入房间,摸着老师的大胸,老师口活也非常好,完全没有齿感而且深喉体验极佳。随后带上套套邀请老师上座,一对大白兔在眼前疯狂摇晃,大脑迅速被血液充满,抱起老师后开始疯狂输出 最后愉快交货。结束后还拿了瓶水给我补充能量,休息的差不多了就一起去洗了个澡,撤离 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:多米乐 【留名】:Susie Gulbranson 【人照】:9.5 【颜值】:9.8 【身材】:9.8 【服务】:10 【态度】:10 【环境】:10 【综合】:9.85 【过程】:提前预定,准时到达,老师身材很好,完全不需此行,服务态度很好,体验感拉满,值得二刷 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:雅琴 【留名】:利 坤 【人照】:10 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:10 【综合】:9.33 【过程】:昨天刚从杭州回来刷到了雅琴老师开课 立刻联系了老师 约好时间之后准时到达楼下 老师细心告诉我怎么走 开门之后热情迎接我 简单聊了几句就付款了 随后老师拉着我一起去洗澡了 老师的身材很顶 细枝节硕果 腰上一点赘肉也没有 还有点马甲线的痕迹 无敌 老师服务内容课表都有 态度也很好 会耐心问我怎么样 可以的话给她说 不会像其他老师一样一直催着要戴套 舔咪咪也舔得我麻麻的 口得也很舒服 包裹的很紧 差点就缴械了 立马叫老师戴套开干 不错是我喜欢的紧度 下面又紧又热 一二三哦豁出水了哈哈哈 随后老师叫我休息一会去给我放水洗澡了 整体给我的感觉还是很好的 希望老师哪一天能去杭州 那我天天都要去找老师 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:娜娜 【留名】:阿童木 【人照】:9.5 【颜值】:9.5 【身材】:9.5 【服务】:9 【态度】:9 【环境】:9 【综合】:9.25 【过程】:老师真的嫩,也超级敏感,对于我们这种123选手真的是福音,也能体会到桩机能体会的感受,再加上每次抽插撞击都能感受到里面的紧致滚烫,不一会儿就被秒了,下次还得是约pp才行。 ✳️Powered by @whkdyyy
【时间】:2026-10-01 【老师】:咕噜大王 【留名】:传奇养猪王 【人照】:10 【颜值】:9.5 【身材】:9.5 【服务】:10 【态度】:10 【环境】:10 【综合】:9.83 【过程】:之前想约咕噜老师由于公司原因搞的假没了,没约上,这次等到国庆终于有机会约,国庆有点堵,迟到了十分钟左右,老师很有耐心,到了之后引导上楼,打开门,就看到老师小脑袋露着在向外看,进来后老师先问喝什么,交了课费在沙发上坐了一下聊了会儿卸装,老师就带去洗澡,洗澡往那一站,洗干净再往床上一躺,果冻跳跳糖就来了,还有特色🐢责,冲着ls🦶🥟来的,一上脚就被秒了,建议来的都体验一下ls的🦶,二p老师也是帮忙👄硬了后带上☂️尝试进入,ls还帮忙教经验不足的我怎么去摆姿势怎么动,可惜只怪自己经验不足人太虚,直接累成狗了,最后在ls✋法下出氵,本来冲着包时三次来的,可惜两次直接腿软了,总之,颜值身材环境服务态度都是上等,很不错呀,而且ls也挺开朗的,…
Showing the 12 most recent of 1,253 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.
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@Txsnqg · 13,3566 posts武汉夜生活(支持U)
@Wh_Yeshenghuo · 11,3266 posts武汉老师公开榜
@whzygxq · 81,5326 posts💄服务系三通午夜🉑sm课可剧情课🉑上🚪🉑夜1
@wy091688 · 1,0152 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“武汉报告参考📝” (@whbgcankao), 34,711 subscribers as measured 26 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.