人美声甜 手法好 非常愉快的一次体验
Signed 蜗牛15259762701 武汉

Channel
@WNQQ722
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
7,674subscribers
+161 since we began measuring on 15 September 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1004319100355 |
|---|---|
| Type | Channel |
| Username | @WNQQ722 |
| Description | 店铺交流群 @WNQQ7788 店铺评价频道 @WNQQ722 店铺小妹街拍频道 @WNQQ7722 🤖双向机器人 @WNQQ770bot |
| Created | Between 1 June 2026 and 15 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 September 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/WNQQ722 |
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 4 October 2026 and assigned it the closest of 31 fixed categories, at 62% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 21:21 | 7,674 | -1,315 |
| 2 Nov 2026, 14:59 | 8,989 | -178 |
| 30 Oct 2026, 04:36 | 9,167 | -215 |
| 27 Oct 2026, 10:19 | 9,382 | -221 |
| 24 Oct 2026, 08:59 | 9,603 | -276 |
| 21 Oct 2026, 05:07 | 9,879 | -131 |
| 20 Oct 2026, 02:31 | 10,010 | -101 |
| 19 Oct 2026, 02:38 | 10,111 | -94 |
| 18 Oct 2026, 04:51 | 10,205 | -63 |
| 17 Oct 2026, 01:49 | 10,268 | -17 |
| 15 Oct 2026, 22:56 | 10,285 | +3 |
| 14 Oct 2026, 20:39 | 10,282 | +25 |
| 13 Oct 2026, 09:59 | 10,257 | +30 |
| 9 Oct 2026, 06:39 | 10,227 | +19 |
| 4 Oct 2026, 19:16 | 10,208 | +37 |
| 26 Sept 2026, 22:39 | 10,171 | +68 |
| 19 Sept 2026, 17:38 | 10,103 | +38 |
| 17 Sept 2026, 05:15 | 10,065 | +2,552 |
| 15 Sept 2026, 20:22 | 7,513 | first reading |
39 posts held, back to 15 September 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 7 pages of Telegram’s post history, 20 posts per page.
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 6 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 October 2026 |
|---|---|
| Posts held | 39 (15 September 2026 – 31 October 2026) |
| Views total | 13,264 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 22:44 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.
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.
Measured directly from 1 video 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.
5 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 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 8 of the 39 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 15 September 2026 to 31 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.
Telegram’s own ‘edited’ marker: 1 of 20 posts held from the last 30 days (5.00%) 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).
人美声甜 手法好 非常愉快的一次体验
Signed 蜗牛15259762701 武汉
Photo, posted without a caption
Signed 蜗牛15259762701 武汉
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Signed 蜗牛15259762701 武汉
99好评,服务热情不冷场,🐻挺大的,应该有c
Signed 蜗牛15259762701 武汉
这次来到蜗牛这边,一进门就看到九九的大奶,给我的感觉就是很喜欢,声音也是温温柔柔的,我也不管好坏就凭感觉这个,聊天非常健谈,上来就是灵活的舌头给你舔舔,还是很舒服,大胸触碰你我的背上也很有感觉的,然后就是热水滚滚也是不错,一点骚骚的声音也是给人温温柔柔的感觉嘿嘿。也会问出一次还是两次,也是很舒服,不像有的店出一次就收拾了,这一点给大大的好评,然后高潮时候也是很配合,有什么要求都是配合你,下面湿湿的,摸的很顺滑,还会有反馈也是硬的不行,哈哈这点很不错。出来的很舒服,洗个澡后他给你热毛巾擦一擦,这个还有一个重点是中间按摩非常有劲,感觉是练家子,有点手艺的可以体验一下哈哈哈。第二发由于时间不足我就没让她搞了,下次再来弥补吧,主要一直在聊天,也是很舒服的感觉。虽然九九不是萌妹子但是服务绝对不差,真的很好👍
Signed 蜗牛15259762701 武汉
66,服务很好,配合度很高,搞了俩次,太舒服了
Signed 蜗牛15259762701 武汉
77好,好胸,服务真的是一流,特别敬业,
Signed 蜗牛15259762701 武汉
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Signed 蜗牛15259762701 武汉
77服务气质俱佳,值得二刷!人真的很漂亮!
Signed 蜗牛15259762701 武汉
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Signed 蜗牛15259762701 武汉
今天来的是77号,妹子很嫩,一进门真的很漂亮,接着服务过程中,妹子技术也是很不错,体验感拉满去,背面很舒服,一边服务一边聊天,情绪价值到位,正面服务看着妹子的脸是一种享受,手法很独特,酥酥麻麻的,选择了喜欢的方式出水,整体感觉很不错,位置也比较好找,妹子背面按摩技术真的独一档,讲话也跟温柔,数值是真的夸张,该有的都有
Signed 蜗牛15259762701 武汉
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Signed 蜗牛15259762701 武汉
Showing the 12 most recent of 39 posts we hold for @WNQQ722. 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.
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.
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.
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.
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.
“武汉蜗牛评价中心” (@WNQQ722), 7,674 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/WNQQ722.
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.