宝宝们我休息了。一个月后再见😊。下次开课在海上世界

Channel
南山沈安琪精致御姐收U
@qxf88
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
11,814subscribers
+1,044 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001986869757 |
|---|---|
| Type | Channel |
| Username | @qxf88 |
| Description | 安卓手机频道点 https://t.me/Qxf208 课表频道置顶图片,私聊我点 @qxr208 双向了可以私聊我机器人 @qxr208Bot |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 51 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/qxf88 |
Topic
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 |
|---|---|---|
| 3 Nov 2026, 17:20 | 11,814 | -40 |
| 2 Nov 2026, 20:46 | 11,854 | -33 |
| 1 Nov 2026, 21:31 | 11,887 | -7 |
| 31 Oct 2026, 23:50 | 11,894 | -21 |
| 30 Oct 2026, 23:40 | 11,915 | -28 |
| 30 Oct 2026, 00:46 | 11,943 | -30 |
| 29 Oct 2026, 00:40 | 11,973 | -22 |
| 28 Oct 2026, 00:19 | 11,995 | -45 |
| 27 Oct 2026, 00:06 | 12,040 | -6 |
| 25 Oct 2026, 21:35 | 12,046 | +11 |
| 24 Oct 2026, 20:06 | 12,035 | +15 |
| 23 Oct 2026, 22:16 | 12,020 | -32 |
| 22 Oct 2026, 22:11 | 12,052 | -49 |
| 21 Oct 2026, 21:07 | 12,101 | -406 |
| 20 Oct 2026, 13:29 | 12,507 | -118 |
| 19 Oct 2026, 12:09 | 12,625 | +185 |
| 18 Oct 2026, 11:10 | 12,440 | -5 |
| 17 Oct 2026, 12:00 | 12,445 | +48 |
| 16 Oct 2026, 10:16 | 12,397 | +51 |
| 15 Oct 2026, 11:50 | 12,346 | first reading |
Engagement
31 posts held, back to 18 May 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 28 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 32.0%
- avg views ÷ 11,814 subscribers
- Avg views / post
- 3,780
- 9 posts measured
- Reaction rate
- 0.074%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 31 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 5 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 November 2026 |
|---|---|
| Posts held | 31 (18 May 2026 – 2 November 2026) |
| Views total | 34,000 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 18:40 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
- Photos
- 143
- Videos
- 9
- Links
- 43
Lifetime counters from Telegram’s own channel header, read 3 November 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.
Reaction mix
50 reactions across 15 posts, in 4 distinct kinds. The most used accounts for 88.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 44 | 88.0% | |
| 👍 | 3 | 6.00% | |
| 🥰 | 2 | 4.00% | |
| 💩 | 1 | 2.00% |
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 17 of the 31 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 50 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 18 May 2026 to 2 November 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
【简述品鉴体验】:老师半夜发消息说没睡好,想往后改一小时。快到中午才看到,好在后面我也没啥事,就爽快地让老师多睡了一个钟!到了以后,一进门,就看到一个穿着精致黑色超短裙的美女站在那里看着我笑,瞬间觉得这趟来值了。坐在沙发上以后,老师主动开启话题,而且非常温柔,让我这个i人感觉非常自然舒适,我也就顺势到处乱摸了。结果天南地北地聊了20多分钟都仿佛意犹未尽,但我摸得确实有点猴急了,只能主动邀请老师去洗澡上课。洗完澡后,挑了老师推荐的红色战服,等老师穿上后只能说这套战服确实有点东西。接下来就是服务时间,老师口活很不错,舔得很舒服。由于是看了老师频道诱人的白虎照片才上门的,所以必须69一波。老师下面确实好看,而且还很敏感。舔够了以后就带上装备提枪上阵。由于怕被女上123秒,所以先是由我来操作,一番激情后,老师主动要求上来操作我,我不得不为我之前做的英明决定鼓掌。在上面的老师越动越快,而且通过腿部姿势的变幻,包裹度也是张弛有度。这酸爽的感…
❤5
还开最后几天😊陌生客需要定金约课哦
位置坐标: #深圳 #地区 学生留名: #Deng 学生电报号: @hsjkhh 上课时间: 2026/10/27 老师花名: #南山沈安琪 老师电报号: @qxr208 上课花费: 2K 老师质量: 人照相符 9分,服务态度 10分,服务技能 10分,情绪价值 10分 ,环境卫生 10分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 上课过程: 一进门,课室干净,感觉很好!干干净净的环境,让人愉悦!老师说话轻声细语,性格温和,这一点加分项。男人大部分都喜欢这种温温柔柔的!和老师坐在沙发慢慢交谈,谈了一点时间,和老师一起步入浴室洗澡。老师双峰挺立、C罩杯,伸手抚摸双峰,先抓全部,然后轻柔奶头!一手掌控的感觉,美美的。洗好后,可以根据喜好,挑选衣服,挑好了,老师换上,就可以躺在床上,等换好衣服的老师过来。床整理的整齐,干净,躺着舒服。躺着,老师就…
#南山沈安琪 已在深圳研究协会上榜🕵♀ 榜单: @hjkko25 群组: https://t.me/bvcgzf588
❤4
头课还在哦😘
🥰2
开课了😘
https://t.me/Qxf120 福利频道更新了😅
优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: 南油 学生留名: 阿里路亚 学生电报号: @jbddyyds 上课时间: 10月4日 老师花名: 沈安琪 老师电报号: @qxr208 上课花费: p 老师质量: 人照相符9分,服务态度10分,服务技能 10分,情绪价值10分 ,环境卫生10分,有陪洗: ( PS: 按照1到10打分 ) 服务内容:胸推,漫游 上课过程:早就想试试安琪了,正好赶上这次开课,约好直接前往,地方很好找,进门后,老师身着黑色连衣裙,两条笔直的大长腿站在那等我,皮肤很白,人照一致,老师拉着我坐在沙发上,我说先洗澡吧,她说要不在沙发上聊会,她拉着我一只手,另一只手摸着她的大长腿,聊聊最近的趣事,不时还挑逗我,整得我心神荡漾,聊了大概10多分钟,开始上楼洗澡,老师身材也很棒,前凸后翘的,贴心的帮洗,很不错,洗漱完,老师让…
❤4💩1
开课了,短开几天又休息了
还开最后一周,10月初要长休了
ios客户端被限制看色情频道与群组 用手机解决方法 Telegram web网页版链接: https://web.telegram.org/ ⚡️操作: 登录WEB网页版后 ➊点击「Settings」 ➋点击「Privacy and Security」 ➌打开「Disable filtering」选项 ➍ 重启 iOS 客户端即可。
❤1
Showing the 12 most recent of 31 posts we hold for @qxf88. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 7 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@qxf88 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 14 August 2026 – 14 August 2026
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“南山沈安琪精致御姐收U” (@qxf88), 11,814 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/qxf88.
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.