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Telegram profile photo for 🏠沁允的小窝(开课🀄️)

Channel

🏠沁允的小窝(开课🀄️)

@qinyun1314

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

61subscribers

+0 since we began measuring on 3 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004342731751
TypeChannel
Username@qinyun1314
Description私聊👉@wjklp06
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 October 2026
Last confirmed live3 October 2026
Measurements held2
On Telegramt.me/qinyun1314

Growth

613 Oct 2026, 11:47 — 61 subscribers3 Oct 2026, 12:22 — 61 subscribers3 Oct 2026, 11:473 Oct 2026, 12:22
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 60–62 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Oct 2026, 12:2261no change
3 Oct 2026, 11:4761first reading

Engagement

15 posts held, back to 8 September 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
249.0%
avg views ÷ 61 subscribers
Avg views / post
152
15 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
15
of 15 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 October 2026
Posts held15 (8 September 2026 – 3 October 2026)
Views total2,278
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 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

Photos
13
Videos
8
Links
5

Lifetime counters from Telegram’s own channel header, read 3 October 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.

Video runtime
1m 16s
Average length
19s

Measured directly from 4 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.

Recent posts

3 Oct 2026, 06:00 UTC16 viewsread 3 October 2026
Photo

📍#常平 沁允 🐥700P 1100Pp 📱联系 @wjklp06 ✅频道 https://t.me/qinyun1314 🤖双向 @qinyunlll1212_bot 🦬(联系时说 狼友群 即可) ✍️提交报告 t.me/DG739/430

23 Sept 2026, 03:44 UTC162 viewsread 3 October 2026

今天正常开课哦 休息了两天 不好意思啦 宝宝☺️

18 Sept 2026, 07:40 UTC178 viewsread 3 October 2026
Video

随便找的人怎么可以代替的了我给你带来的感觉呢宝宝😘

17 Sept 2026, 13:55 UTC164 viewsread 3 October 2026
Forwarded from @yishuxuey

@#报告模板 【所属群组】东莞学生会 【所在地区】常平 【老师艺名】沁允 【联系方式】@wjklp06 【验证留名】星云海 【验证日期】9.16 【上课价位】p 【人照几分】10分 【服务过程】发消息约了老师,老师告诉我地址,到楼下了告诉我楼层和房间。第一次出击十分紧张,交了水费,老师让我洗一下,我一度想和老师聊天到时间结束,聊了一会儿感觉老师人很好,调整好呼吸去洗了,做完服务,老师要给我口,我说不需要,然后就开始摸老师的胸和臀,硬了之后戴上套开始出击,边干边和老师聊天,顺利出水。老师人照吻合,年轻紧实。 支持匿名报告,匿名需要花费200积分隐藏ID。(积分多此举是为了避免恶意刷好评或者差评,所以大家尽量还是客观评价吧) 打分标准:6分及格,7分漂亮,8分优质,9分无脑冲 ⚠️报告提交给 投秘书长处 @guangdongrsbot) 并须附:确认可添加的联系方式聊天等截图,遥控上楼部分聊天截图、付款截图(如现金,请说…

Showing the 12 most recent of 15 posts we hold for @qinyun1314. 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 3 October 2026 — this entry's latest reading, not the date you are reading this.

“🏠沁允的小窝(开课🀄️)” (@qinyun1314), 61 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/qinyun1314.

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.