Channel
@hh128128hh
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
377subscribers
+98 since we began measuring on 16 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004281940058 |
|---|---|
| Type | Channel |
| Username | @hh128128hh |
| Created | Between 1 May 2026 and 25 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 September 2026 |
| Last confirmed live | 3 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 3 October 2026 |
| On Telegram | t.me/hh128128hh |
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 3 October 2026 and assigned it the closest of 31 fixed categories, at 65% 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 |
|---|---|---|
| 3 Oct 2026, 07:20 | 377 | +80 |
| 18 Sept 2026, 22:36 | 297 | +18 |
| 16 Sept 2026, 23:22 | 279 | no change |
| 16 Sept 2026, 22:47 | 279 | first reading |
20 posts held, back to 25 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 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 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 September 2026 |
|---|---|
| Posts held | 20 (25 August 2026 – 16 September 2026) |
| Views total | 4,165 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Sept 2026, 23:22 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.
Measured directly from 3 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.
5 reactions across 3 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 3 of the 20 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 20 most recent posts we hold, published 25 August 2026 to 16 September 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.
【老师艺名】：#曼瑶 【联系方式】： @kgfhaa2 【所在位置】：包河 【验证留名】：种草新能源 【验证时间】：9.16 【课程价格】：500P 【颜值身材】：五官立体，身材匀称 【服务内容】：服务都有，只要你提出合理需求 【服务态度】：服务态度很好不冷场，事前事后处理很仔细 【优点缺点】：优点是热情奔放，没有缺点 【推荐程度】：推荐10分，满分 【体验过程】：位置很好找，进门一看，跟照片没啥差别，本人更生动，很热情。然后来到浴室，温柔的为我清洗全身，又帮我口，让我很上头，我也毫不客气的嗯她头插到喉咙里哈哈一下子激情氛围上来了，遂转战到床上，曼瑶老师换上我要求的黑丝，像蛇一样游荡在我口舌漫丝滑，浑身散发热流 老师吸着我的咪咪，摸着我的蛋蛋，滑来滑去，尤其毒龙让我全身酥麻简直是绝绝子哈哈此时已经按耐不住，顶不住啊…便让她躺下，一边亲她胸另一边又在抚摸湿润的小b，老师配合的嗯嗯叫，一脸舒爽的骚样子，换了几个姿势，都很配合，老师…
Video, posted without a caption
Photo, posted without a caption
开课了宝子们
宝贝们开课可约早课了
Photo, posted without a caption
宝贝们开课了，可以约早课了😘😘😘
这是开心的频道
这是个频道也可以预约哦
https://t.me/yy584520QQ
Photo, posted without a caption
❤1
宝贝们老师今天红休了等结束了老师在通知宝子们哦😘😘😘
Showing the 12 most recent of 20 posts we hold for @hh128128hh. 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.
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.
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 3 October 2026 — this entry's latest reading, not the date you are reading this.
“曼瑶的频道” (@hh128128hh), 377 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/hh128128hh.
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.