❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:10月10 【验证工兵】:钟师 【老师艺名】:石豆 【老师账号】:@shidouliu 【城市地区】:湖里 【水费次数】:6p 【人照相似】:(满分100)99 【目测年龄】: 【颜值妆造】:(满分100)99 【身材曲线】:(满分100)100 【乳房状态】:(大小/真假) 【臀部形态】:(小巧/大翘) 【皮肤状态】:(肤色/质感)白 【bb的状态】:(户型/紧湿度)很好 【服务评分】:(满分100)90 【情绪价值】:(满分100)95 【日☀️后感 /详细描述】:一进房间一个漏背装小美女,瘦瘦的,小小只,马上付钱,自己洗澡去,一下就硬了,先开始口,口的不错,马上带上,搞起来,妹子一直闭眼叫,很配合,很不错的体验 【总体评分】:(满分100) 【推荐指数】⭐️⭐️⭐️⭐️⭐️⭐️⭐️(最高7颗星…

Channel
厦门新人学生兼职首开
@shidou562
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
163subscribers
+133 since we began measuring on 9 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004479793913 |
|---|---|
| Type | Channel |
| Username | @shidou562 |
| Created | 9 October 2026 — measured — dated from the channel’s first post |
| First recorded | 9 October 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/shidou562 |
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 28 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 |
|---|---|---|
| 3 Nov 2026, 13:00 | 163 | +1 |
| 28 Oct 2026, 00:26 | 162 | +5 |
| 20 Oct 2026, 18:38 | 157 | +19 |
| 13 Oct 2026, 07:30 | 138 | +108 |
| 9 Oct 2026, 19:22 | 30 | no change |
| 9 Oct 2026, 18:47 | 30 | first reading |
Engagement
9 posts held, back to 9 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
- 54.8%
- avg views ÷ 163 subscribers
- Avg views / post
- 89.4
- 5 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 9 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.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 9 (9 October 2026 – 9 October 2026) |
| Views total | 447 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 19:22 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (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).
厦门学生兼职 pinned a photo
❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:10月10 【验证工兵】:@leezzz123111 【老师艺名】:石豆 【老师账号】:@shidouliu 【城市地区】:湖里 【水费次数】:6p 【人照相似】:(满分100) 【目测年龄】: 【颜值妆造】:(满分100) 【身材曲线】:(满分100) 【乳房状态】:(大小/真假) 【臀部形态】:(小巧/大翘) 【皮肤状态】:(肤色/质感) 【bb的状态】:(户型/紧湿度) 【服务评分】:(满分100) 【情绪价值】:(满分100) 【日☀️后感 /详细描述】:(不低于五十字,内容补充,可描过程表现,服务细节,优缺点,房间环境等) 【总体评分】:(满分100) 【推荐指数】⭐️⭐️⭐️⭐️⭐️⭐️⭐️(最高7颗星) 【⚠️须提供约课记录才能发布加积分】 提交报告:@XMGBKF (客服)
❤️萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗️ 厦门工兵 报告模板 【出击日期】:10月10 【验证工兵】:@Hell0_JJ 【老师艺名】:石豆 【老师账号】:@shidouliu 【城市地区】:湖里 【水费次数】:6p 【人照相似】:(满分100) 【目测年龄】: 【颜值妆造】:(满分100) 【身材曲线】:(满分100) 【乳房状态】:(大小/真假) 【臀部形态】:(小巧/大翘) 【皮肤状态】:(肤色/质感) 【bb的状态】:(户型/紧湿度) 【服务评分】:(满分100) 【情绪价值】:(满分100) 【日☀️后感 /详细描述】:遥控上楼,打开门,一个字“绝”。嫩美美,话不多说,交水费开干。妹妹应该18岁左右,三点粉的不行,往死里👅,哈哈哈😂。此刻只能一个字形容“爽”其他不多说,换了几个姿势妹妹都很配合,态度也好。满分满分💯,绝对二刷。(不低于五十字,内容补充,可描过程表现,…
看清楚介绍在来哦
厦门学生兼职 pinned Deleted message
新人刚刚开课,请多指教
Channel photo updated
Channel created
Showing the 9 most recent of 9 posts we hold for @shidou562. 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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“厦门新人学生兼职首开” (@shidou562), 163 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/shidou562.
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.