全能选手🍒开课🐻38G启动模式在线👄全自动🐒服务系🐢💦@awq235_bot 机器人

Channel
钰涵👄半套泰国专业抓龙筋👋频道
@dwq6622
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,363subscribers
+6,001 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003705399054 |
|---|---|
| Type | Channel |
| Username | @dwq6622 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/dwq6622 |
Topic
Adult — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 07:06 | 6,363 | -492 |
| 2 Nov 2026, 06:01 | 6,855 | -1,319 |
| 29 Oct 2026, 23:44 | 8,174 | +7,322 |
| 21 Oct 2026, 22:31 | 852 | -128 |
| 13 Oct 2026, 21:38 | 980 | -106 |
| 8 Oct 2026, 11:16 | 1,086 | -135 |
| 2 Oct 2026, 09:19 | 1,221 | +50 |
| 16 Sept 2026, 19:39 | 1,171 | +6 |
| 12 Sept 2026, 18:57 | 1,165 | -3 |
| 9 Sept 2026, 04:55 | 1,168 | +16 |
| 3 Sept 2026, 22:18 | 1,152 | +769 |
| 27 Aug 2026, 06:08 | 383 | +21 |
| 26 Aug 2026, 14:00 | 362 | no change |
| 26 Aug 2026, 13:46 | 362 | first reading |
Engagement
40 posts held, back to 15 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 5 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.09%
- avg views ÷ 6,363 subscribers
- Avg views / post
- 451
- 19 posts measured
- Reaction rate
- 0.188%
- reactions ÷ views · ER floor
- Posts in window
- 21
- of 40 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 4 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 40 (15 August 2026 – 4 November 2026) |
| Views total | 8,573 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 13:00 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
- 81
- Videos
- 40
- Links
- 62
Lifetime counters from Telegram’s own channel header, read 5 November 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
- 2m 11s
- Average length
- 16s
Measured directly from 8 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
6 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 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 6 of the 40 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 15 August 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 0 of 21 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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半岛SPA模板:https://telegram.me/bd_spa 【出击时间】:11月2日 【出击老师/商家】:#钰涵 @AEWT3 【出击留名】:阿念 【开课位置】:上城 【修车水费】:300(200优惠) 【服务点评】:服务很好,ab面都做的很不错很用心卖力,尤其是毒龙 【过程描述】:老师的课室就在东站附近交通很方便,还可以停车。小区不大,门禁也不是非常严格,总体来说还是挺安全的。然后遥控上楼,等待老师开门。开门后映入眼帘的老师呼之欲出的一对大乳,这大小单手运球是比较困难的。老师人照大概八分像。进面之后,老师很热情的帮忙那拿鞋递水。会给拖鞋消毒,这点好评。然后简单的寒暄几句,就一起进入浴室洗澡。先从后背开始打上沐浴露老师一点一点帮你清洗,边洗边夸身材结实强壮情绪价值是到位了。然后开始洗正门,也是打上沐浴露一点一点洗过来,冲去沐浴露后。老师蹲下来突然一口含住jj,开始吞吐。水中萧之后,会帮忙洗脚每一个脚趾缝都会帮忙清洗…
半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】技术一流,服务一绝,态度很好,极品大胸 【不足】无 【妹子花名】:#钰涵 【联系方式】:@AEWT3 【妹子年龄】:30+ 【验证留名】:@ingrm35 【验证时间】:11月11日 【大概位置】:东站附近 【修车水费】:半价券 【高端服务】:有的打✅ ① 舌吻 没问 ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照相似】:人照相似程度8分,颜值好看,高个子姐姐,前凸后翘,熟女御姐,性感风骚 【身高身材】:身高170左右腿长,纹身没注意,皮肤手感光滑细腻 【凶器罩杯】:胸型巨大,乳头粉,整体手感绝佳 【湿度紧度】:比比户型颜色外褐内粉,周围毛量不多 【环境细节】:交通方便,房间是整洁 【个人卫生】:抽烟,有漱口水/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务点评】:…
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钰涵👄半套泰国专业抓龙筋👋频道 pinned a photo
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全能选手🍒开课🐻38G启动模式在线👄全自动🐒服务系🐢💦@awq235_bot 机器人
杭州一哥课堂 http://t.me/yigechat 【时间】: 10.29 【老师】:钰涵 【I D 】: @AEWT3 【留名】WM 【人照】:打分 10分制 下同 【颜值】:9分 【身材】:9分 【服务】:顶级服务 【态度】:9分 【环境】:9分 【报告正文】 #课室环境 安全性,整洁度、卫生条件 炮房是否有落地镜 ----------------- #人之初印象 身材、颜值、胸型、气质、衣品等简要描述 --------------- #服务环节 陪浴|舌吻|69|水中萧 等基础服务是否有,做得怎么样 舌吻属于主动大蟒,被动小蟒,张不开嘴等等哪种 69舔批是否管饱 事后萧|胸推|毒龙|ab面等服务系内容是否涉及到了 ----------------- #做饭体验 屌感,紧致度,湿度,配合度、耐桩度,反馈度,投入度等等 ----------------- #情绪价值 i人 e人 --------------…
杭州一哥课堂 http://t.me/yigechat 【时间】: 10.29 【老师】:钰涵 【I D 】: @AEWT3 【留名】V 10 【人照】:打分 10分制 下同 【颜值】:9分 【身材】:9分 【服务】:顶级服务 【态度】:9分 【环境】:9分 【报告正文】 #课室环境 安全性,整洁度、卫生条件 炮房是否有落地镜 ----------------- #人之初印象 身材、颜值、胸型、气质、衣品等简要描述 --------------- #服务环节 陪浴|舌吻|69|水中萧 等基础服务是否有,做得怎么样 舌吻属于主动大蟒,被动小蟒,张不开嘴等等哪种 69舔批是否管饱 事后萧|胸推|毒龙|ab面等服务系内容是否涉及到了 ----------------- #做饭体验 屌感,紧致度,湿度,配合度、耐桩度,反馈度,投入度等等 ----------------- #情绪价值 i人 e人 ------------…
信息没回代表在忙,看到了一一回复你们
Showing the 12 most recent of 40 posts we hold for @dwq6622. 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.
Mentions
Named by 2 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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“钰涵👄半套泰国专业抓龙筋👋频道” (@dwq6622), 6,363 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/dwq6622.
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.