可以预约了宝子们, 今天晚点开课,
Signed 郑州➕晴晴翘臀🍑尤物

Channel
@qqzdaaa
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
744subscribers
+113 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003990810096 |
|---|---|
| Type | Channel |
| Username | @qqzdaaa |
| Description | 晴晴机器人 @qqingqbot 私聊 @qingqwn |
| Created | Between 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 27 September 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 6 |
| On Telegram | t.me/qqzdaaa |
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 27 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Sept 2026, 09:22 | 744 | no change |
| 25 Sept 2026, 23:18 | 744 | +31 |
| 12 Sept 2026, 19:37 | 713 | +34 |
| 4 Sept 2026, 10:15 | 679 | +44 |
| 28 Aug 2026, 14:32 | 635 | +4 |
| 28 Aug 2026, 09:15 | 631 | first reading |
17 posts held, back to 6 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 1 page 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.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 17 (6 September 2026 – 26 September 2026) |
| Views total | 14,541 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 09:22 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 27 September 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 5 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.
可以预约了宝子们, 今天晚点开课,
Signed 郑州➕晴晴翘臀🍑尤物
宝子们,提前预约哦,不要空降🪂🪂 位置不固定,每天都在换的,
Signed 郑州➕晴晴翘臀🍑尤物
【时间】:2026-09-25 【老师】:晴晴 【留名】:匿名 【人照】:9 【凶器】:B+,很挺 【颜值】:9 【皮肤】:白 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:8.9 【过程】:今天没啥事,提前预约了晴晴,刚好晴晴也不忙有空,遥控上楼,进门房子十分干净整洁 老师性格很好 比较自来熟 聊天过程十分愉快。稍坐交水费,老师放水帮洗,帮擦。进入卧室进入正题,先A面胸推,亲咪咪,老师指甲很漂亮,指划应该是会所培训过,舒舒麻麻的二弟立马有感觉。之后口二弟,口的很仔细,口活儿了得无齿感,容易被秒,还好忍住了,戴套开撸,先是男上,将老师裹在身下面,肉肉之间美妙的乐章奏响,伴随着老师的呻吟声,到一次小高潮,之后换女上,老师体力一般几个深蹲之后略显疲态,反复抽插,没忍住交货,老师叫声很大很骚,愉快的一次体验,之后冲洗走人。
Signed 郑州➕晴晴翘臀🍑尤物
报告来源:郑州烩面馆 【时间】:2026-09-23 【老师】:晴晴 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.5 【过程】:老师人照差别不大,身材很好。小区位置好找非常安全。老师非常健谈,每天坚持健身非常自律。服务非常有耐心,口活非常好。非常值得推荐,喜欢服务系的闭眼冲。让人留连忘返,会二刷的。
Signed 郑州➕晴晴翘臀🍑尤物
中秋节🥮🥮快乐, 今天可预约,还有🈳位 联系 @qingqwn 双向联系 @qqingqbot
开课了宝子们, 提前预约哦🍓🍓 今天夜🈳,可预约夜
Signed 郑州➕晴晴翘臀🍑尤物
开课了宝宝们, 可预约下午课程😆😆
Signed 郑州➕晴晴翘臀🍑尤物
开课了宝子们, 可预约下午课程
Signed 郑州➕晴晴翘臀🍑尤物
到郑州了, 开课了宝宝们😆😆
Signed 郑州➕晴晴翘臀🍑尤物
最近休息了宝子们,没在郑州,等我哦😯
Signed 郑州➕晴晴翘臀🍑尤物
晚点开课, 上课的宝子,提前预约哦
Signed 郑州➕晴晴翘臀🍑尤物
开课了宝子们, 今日,可以约夜, 夜🈳
Signed 郑州➕晴晴翘臀🍑尤物
Showing the 12 most recent of 17 posts we hold for @qqzdaaa. 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 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.
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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“郑州➕晴晴 御姐翘臀🍑尤物” (@qqzdaaa), 744 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/qqzdaaa.
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.