开课噜 预约🀄️啦 最近都在了哦💋

Channel
小瓜的daily(开课🀄️
@ppkt55210
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,326subscribers
+38 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002191711461 |
|---|---|
| Type | Channel |
| Username | @ppkt55210 |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/ppkt55210 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 05:17 | 3,326 | +18 |
| 11 Aug 2026, 07:43 | 3,308 | +20 |
| 10 Aug 2026, 11:45 | 3,288 | first reading |
Engagement
16 posts held, back to 26 July 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 42.1%
- avg views ÷ 3,326 subscribers
- Avg views / post
- 1,400
- 13 posts measured
- Reaction rate
- 0.18%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 16 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 9 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 16 (26 July 2026 – 10 August 2026) |
| Views total | 18,207 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 11:45 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
- 8s
- Average length
- 8s
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.
Reaction mix
24 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 79.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 79.2% | |
| 🥰 | 3 | 12.5% | |
| 👍 | 1 | 4.17% | |
| 💋 | 1 | 4.17% |
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 9 of the 16 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 July 2026 to 10 August 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
Channel name was changed to «小瓜的daily(开课🀄️»
Channel name was changed to «小瓜的daily(红休🀄️»
红休了 bb们 下一档见咯 具体开课时间看频道哦 💋💋💋
❤3💋1
这档马上休啦 预约🀄️啦💋💋💋
❤2🥰1
预约🀄️啦 最后两天啦
❤2🥰1
小瓜的daily(开课🀄️ pinned Deleted message
【时间】:2026-07-30 【老师】:小瓜 【留名】:Ultraman Taro 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:10 【综合】:9.17 【过程】:二刷小瓜老师了依旧那么瘦, 漂亮温柔 ,都第二次来了还是要夸赞老师的身材 ,不愧是模特身材 开门一身白色紧身抹胸短裙身材突显的更美了 ,进门交了水费 ,老师带着去洗澡,身材是真好,很修长雪白,无赘肉,喜欢高挑的一定要来试试 ,洗完澡就去房间了,口活很棒,润润的感觉,后面开始就干正事,老师下面很🌸 很漂亮,cj 这么多人来,算是特别好看的 🌸 了 😂。特别强调后入姿势,真的是诱惑啊,蜜桃臀加老师很贴心的下腰,配合度高,一般人真把持不住。最后费劲九牛二虎之力,终于完事(期间小瓜 ls 还说不着急慢慢来,给的时间很充足,不催人) ✳️Powered by @whkdyyy
❤4
预约🀄️啦 bb们👅👅
❤1🥰1
【时间】:2026-07-29 【老师】:小瓜 【留名】:Aaa建材老王 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.17 【过程】:第4 -5次见面了吧 记不清了 大差不差 一见面老师还是一脸笑容,让紧张的我瞬间放松了,像是回到了家里 ,看面相就是个很温柔的人,当然本人也确实温柔,一眼嫩妹,课室很干净东西摆放井然有序,老师身材比例很好, 身材偏瘦,我最迷恋的就是老师的身材 因为本人不喜欢胖的 ,就喜欢骨感一点的 ,这也是我为什么这么多次出击的原因 总而言之我很满意,有职业态度,不会敷衍了事,不是特别变态的要求老师都会满足,途中换了三个姿势过程询问老师意见,都是轻声细语 笑呵呵的应答,后入视觉享受极佳 临了问老师能不能拍腿照留作纪念 老师也是很爽快的答应了 有时间还会 n 刷的!有喜欢的 ly 放心冲,真实体会, 不喜勿喷! ✳️Powered by @whkd…
💅 好喜欢的这个jiojio
预约🀄️ 这档还有最后几天喔💋💋
Showing the 12 most recent of 16 posts we hold for @ppkt55210. 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.
Citation-graph rank
Citation-graph rank — 702,787 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
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.
Mentions
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“小瓜的daily(开课🀄️” (@ppkt55210), 3,326 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ppkt55210.
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.