开课

Channel
苏菲(龙湖星悦荟)
@sufeifei88
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,222subscribers
+134 since we began measuring on 8 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004423012589 |
|---|---|
| Type | Channel |
| Username | @sufeifei88 |
| Created | Between 1 June 2026 and 28 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 September 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/sufeifei88 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 09:18 | 2,222 | +48 |
| 11 Sept 2026, 07:35 | 2,174 | +86 |
| 8 Sept 2026, 12:22 | 2,088 | first reading |
Engagement
20 posts held, back to 28 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 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 51.9%
- avg views ÷ 2,222 subscribers
- Avg views / post
- 1,150
- 4 posts measured
- Reaction rate
- 0.166%
- reactions ÷ views · ER floor
- Posts in window
- 4
- of 20 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 2 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 September 2026 |
|---|---|
| Posts held | 20 (28 July 2026 – 8 September 2026) |
| Views total | 4,609 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Sept 2026, 12:22 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
- 13s
- Average length
- 4s
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.
Reaction mix
17 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 82.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 82.4% | |
| 👏 | 2 | 11.8% | |
| 👍 | 1 | 5.88% |
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 11 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 17 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 28 July 2026 to 8 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.
Recent posts
开课,
❤2👏2
明天12点准时开课,今天🉑预约 私密小屋:https://t.me/sufeimi69
哥哥们,6号开,再等等我,别急
❤1
开课,
开课,🉑月
❤1
开课
开课
❤1
【评价等级】: 👍 好评 【日 期】: 2026-08-10 【验 证 人】: Tessa Mora 【美女昵称】: 苏菲 【地 区】: 莲湖区 【人照得分】: 9 【颜值得分】: 9 【身材得分】:9 【服务得分】: 9 【态度得分】: 9 【环境得分】: 9 【综合得分】: 9 【年 龄】: 20 【凶 器】: b 【服务过程】: 开门是一袭旗袍装,非常亮眼吸睛。进门后引导坐下,并快速递瓶水,一下就感觉宾至如归了。紧接着一块除衫冲凉,老师的🐻挤着我的后背,两只环绕过来涂抹沐浴液,上下其手的感觉很是奇妙。老师帮我擦净身体后,让我挑选制服丝袜,果断选择了黑丝。后面开始整活,老师的🐍相当灵活,被挑逗的欲仙欲死,人工白虎可得尝试69,很好吃 我先投降要求立即爱爱。老师娴熟的骑上来,体力相当好,骑了我好一会儿;想要的动作老师都很配合,侧位后入传教式都很配合,最后在边🐍吻边冲刺…
❤1
早啊 开课🍧
👍1
开课
开课 用户名:@longryu 双向机器人:@hxudvbs_bot 福利💦频道:https://t.me/sufeimi69
Showing the 12 most recent of 20 posts we hold for @sufeifei88. 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.
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.
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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“苏菲(龙湖星悦荟)” (@sufeifei88), 2,222 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/sufeifei88.
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.