开课中~ 约啦

Channel
妞妞的美妙空间👅
@Niuniu5268
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
239subscribers
+190 since we began measuring on 13 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003970873134 |
|---|---|
| Type | Channel |
| Username | @Niuniu5268 |
| Created | Between 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 October 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/Niuniu5268 |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 29 October 2026 and assigned it the closest of 31 fixed categories, at 71% 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 |
|---|---|---|
| 4 Nov 2026, 07:28 | 239 | +44 |
| 28 Oct 2026, 23:16 | 195 | +50 |
| 22 Oct 2026, 00:49 | 145 | +77 |
| 14 Oct 2026, 11:59 | 68 | +19 |
| 13 Oct 2026, 08:22 | 49 | no change |
| 13 Oct 2026, 07:47 | 49 | first reading |
Engagement
10 posts held, back to 11 October 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
- 62.7%
- avg views ÷ 239 subscribers
- Avg views / post
- 150
- 10 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 10 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 1 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 October 2026 |
|---|---|
| Posts held | 10 (11 October 2026 – 13 October 2026) |
| Views total | 1,499 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Oct 2026, 08:22 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.
What this channel posts
- Video runtime
- 7s
- Average length
- 7s
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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 10 posts held from the last 30 days (10.0%) 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).
https://t.me/chongqingpd/1388
@chongqingwaiwei01
😛 名称:#妞妞 📍 地区:#重庆 #南坪 💰 价格:#3P #4PP 😒 认证:#视频认证 ✈️ 联系:@Niuniu52688 💟 频道:@Niuniu5268 🤖 双向: 🏷 标签: #共浴 #口爆 #毒龙
【妹子花名】: 妞妞 【联系方式】: @Niuniu52688 【验证留名】: 无名 【验证时间】:10.12 【所在位置】: #南坪 万达 【修车水费】:3米一次 【是否代聊】: 否 【身高体重】:158左右 90斤 【妹子年龄】: 28 【颜值相似】:8.5分像 【凶器罩杯】:C 【服务内容】:鸳鸯浴,亲亲,胸推,毒龙,69,漫游等等 【性价比】: 高 【推荐程度】:9分 【个人发挥】:进门就是一对大奶,个子不高,不胖,瘦,牵着我手帮我拿鞋,带我去洗澡,然后和我聊天,情绪价值高高的,口活很好,没有齿感,背面前面服务,然后做毒龙翻过来做继续口,感觉都快要给吹爆了,马上我就受不了,戴套开干,我直接抱起日了一会,实在有点累,老师直接骑我身边继续干,最后我选择后入,准备出货,在老师的骚话中出水了。。。没想到骚话这么有感觉,还不错,3米很有性价比,只是今天状态不好,下次来做4米2次的,点赞👍👍
开课了~ 😊😊
❤️
喜欢抱起来R的~喜欢拍爱爱视频的来哟~ 每天中午12点开课😘😘
新人报道~小小身材大大快乐哟~ 约 @Niuniu52688
Photo, posted without a caption
Showing the 10 most recent of 10 posts we hold for @Niuniu5268. 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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“妞妞的美妙空间👅” (@Niuniu5268), 239 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Niuniu5268.
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.