【少御报告】https://t.me/FSsvyjhj 【老师艺名】#依依 【联系方式】@xcd141242 【所在位置】#禅城 【验证留名】x 【验证时间】2026.8.28 【修车费用】400P 【颜值身材】小芝麻 人照去美颜 【服务内容】齐全 【服务态度】热情 【优点缺点】剖的是缺点也是优点 人热情 自然大方 【推荐程度】9 【体验细节】 开门看到老师和频道的样子差不多,去掉美颜就是了,在这个价位下,带蛇带点服务,我觉得没有问题了。上手摸了一下,皮肤滑溜,肉软糯糯的,人小小一只,热情大方,主动让你在沙发上先休息一下,挺体贴的。共浴的时候搓洗也比较认真,出来后口活挺不错的,各种吹拉弹唱。老师上位的功力也不错,卡的挺紧的,能感觉到各种姿势也非常配合,还是值得推荐的 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交: @QST_mrlbot

Channel
朋友圈
@yhkgh99
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
835subscribers
+662 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004458672709 |
|---|---|
| Type | Channel |
| Username | @yhkgh99 |
| Created | Between 1 June 2026 and 27 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/yhkgh99 |
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 20 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 |
|---|---|---|
| 13 Sept 2026, 19:58 | 835 | +240 |
| 6 Sept 2026, 05:37 | 595 | +419 |
| 28 Aug 2026, 21:14 | 176 | +3 |
| 28 Aug 2026, 20:00 | 173 | first reading |
Engagement
16 posts held, back to 27 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 43.4%
- avg views ÷ 835 subscribers
- Avg views / post
- 363
- 14 posts measured
- Reaction rate
- 0.201%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 16 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 2 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 16 (27 August 2026 – 28 August 2026) |
| Views total | 5,075 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 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
- Video runtime
- 40s
- Average length
- 20s
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 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 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 2 of the 16 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 27 August 2026 to 28 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
此报告属实,由群友提交并提供真实约课证明,非老师自编自写。 【老师艺名】:#依依 【老师电报】: @xcd141242 【验证留名】:x 【验证时间】:2026.8.27 【大概位置】:#禅城 【修车水费】:400P 【妹子年龄】: 22 【人照相似】:9 【皮肤情况】:8.5 【综合评分】:8.8 【过程描述】:依依的样子和他频道看上去差不多,反正小小一只,去掉美颜就是了。洗澡的时候看到是剖的,然后想了一下这个价位下也是合理的,至少整体进来,从谈吐,还有交流都觉得热情大方,一试无妨。口活方面其实挺不错的,而且口的时间也是比较好,能感觉出来有花心思,然后毕竟才22岁,皮肤还是滑嫩的,肉软软的,各种姿势也是配合的,当然符合这个年龄段的松紧度,这点还是可以的。 佛山避雷交流群(🈲老师):telegram.me/cdg666 (白嫖抽奖永不停🔥) 查看更多资源👉 :@bhy6bot 提交报告::@llw2589bot
朋友圈 pinned Deleted message
朋友圈 pinned a photo
【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】依依 【联系方式】@xcd141242 【所在位置】禅城 【验证留名】小杰 【验证时间】8.28 【修车费用】400 【颜值身材】160.97 【服务内容】洗吹做蛇 【服务态度】好 【优点缺点】没有缺点 【推荐程度】五星 【体验细节】老师下面紧,传教士值得去,小弟弟一直有战意,老师很敏感叫的很销魂,然后想后入我站到床边,提着小弟进去,然后123,玩的爽,值得推荐 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot
🈵🈵🈵
#联邦报告 <https://t.me/gzafua> 【出击留名】:黄宗泽 tg分泽(专注嫩妹版) 【出击时间】:2026年8月 【老师艺名】:#依依 【联系方式】:@xcd141242 【开课位置】:#禅城 【上课费用】:PP 【颜值身材】:嫩妹身材,小只马 【身高体重】:158 40 【胸杯紧度】:b杯紧度很紧 【老师类型】:#嫩妹(单选) 【服务种类】:舌吻、69、洗吹做 【情绪态度】:热情 【优点缺点】:必填 ①缺点:没有 ②优点:很配合听话,大蟒🐍 【自由描述】:昨天看到联邦群上师兄点评依依的报告,看到良心价格就点了一手老师频道的关注…… 今天跟老师在飞机上拉扯的一下,因为这个价格之前踩雷过,很担心再次踩雷,到了晚上刚好路过老师开课的地方,问了下老师有没有位,能不能上去看下很不合适再给💰,老师说可以,就上去看了一眼…… 一开门,见到老师本人妈的妥妥的嫩妹一个,直接坐下很老师说微信两次,老师嗲嗲的声音确实好听…
【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】禅城依依 【联系方式】@xcd141242 【所在位置】禅城 【验证留名】Krik Kade 【验证时间】8月28日 【修车费用】400p 【颜值身材】9分 【服务内容】洗吹做🐍 【服务态度】非常好 【优点缺点】老师服务非常好,真人比照片好看~没有缺点性价比拉满~ 【推荐程度】❤️❤️❤️❤️❤️ 【体验细节】进门看到老师第一眼很开朗,很热情主动。进来老师先带我洗了个澡,过程很愉快。 老师身材凹凸有致,真人比照片好看,🐻挺屁股圆,身上有肉恰到好处,符合嫩妹标准。 进入主题,老师小穴非常非常紧,而且带有妹子的体热,过程中,老师也主动亲我,🐍吻,老师的口活很好,特别厉害,我没几分钟就缴械了,真是太可怕了,没想到这次捡到宝了,极力推荐~下次还来! ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndx
🈳🈳🈳
【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】依依 【联系方式】@xcd141242 【所在位置】禅城 【验证留名】suprise 【验证时间】8月28 【修车费用】800pp 【颜值身材】160,96 【服务内容】xcz,调情 【优点缺点】没有缺点。优点:小小一只,很可爱,声音嗲嗲的 【推荐程度】满分,非常推荐 【体验细节】声音很甜,进来先休息了几分钟。洗澡也是非常的细心,怕热水烫到我身上,舌吻很舒服。写的服务都做了舔的很认真,在耳边嘤嘤嘤的声音很诱人,进去的时候很紧很舒服,第一发很快就出来了😭,第二次也很耐心,有什么要求都可以沟通,满分推荐 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot
开课啦
下课
Showing the 12 most recent of 16 posts we hold for @yhkgh99. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“朋友圈” (@yhkgh99), 835 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/yhkgh99.
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.