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Telegram profile photo for 魅影的小屋

Channel

魅影的小屋

@bshjsjsnj

On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry

142subscribers

+132 since we began measuring on 24 October 2026

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

Register entry

Telegram ID-1004342700962
TypeChannel
Username@bshjsjsnj
Created23 October 2026 — measured — dated from the channel’s first post
First recorded24 October 2026
Last confirmed live8 November 2026
Measurements held5
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/bshjsjsnj

Topic

Adult — 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 8 November 2026 and assigned it the closest of 31 fixed categories, at 53% 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

101427624 October 2026 — 10 subscribers24 October 2026 — 10 subscribers24 October 2026 — 14 subscribers31 October 2026 — 101 subscribers8 November 2026 — 142 subscribers24 October 20268 November 2026
5 measurements spanning 15 days, net +132. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Nov 2026, 00:37142+41
31 Oct 2026, 08:45101+87
24 Oct 2026, 03:3614+4
24 Oct 2026, 02:2210no change
24 Oct 2026, 01:4710first reading

Engagement

5 posts held, back to 23 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
84.7%
avg views ÷ 142 subscribers
Avg views / post
120
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
5
of 5 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 23 October 2026
Posts held5 (23 October 2026 – 23 October 2026)
Views total361
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 02:22 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: 1 of 5 posts held from the last 30 days (20.0%) 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).

23 Oct 2026, 12:01 UTC123 viewsread 24 October 2026
Forwarded from @nbgkb888

(工兵报告,可信度较高) 【工兵报告】 『推荐指数:⭐️⭐️ ⭐️半』 【日期】:2026.9.22 【修车编号】:#NBTG1161 【美女昵称】:#魅影 【验证人】:骚妇 【地 区 】:海曙 【联系方式】:@ytongt 【见面感觉】:7分 【室内光线】:暗 【属性标签】:少妇 【身材曲线】:胖 【技术含量】:7 【价格 】:400p(工兵半价) 【安 全 性】:公寓 【年龄】:30➕ 【身高】:155左右 【体重】:115斤左右 【凶器,是否假奶】:B真 【肤色,手感】: 【B内温】:不知 【BB户型】:一线天 【BB味道】:不知 【课表,特色】:胸推 【人照相似】:6 【服务】:今天一天无聊,快天黑了,来了个工兵,在家附近,看着是杭州会所来的,领取了工兵。约好了时间出发。到了地方,直接上楼,因为这个公寓熟悉。是个老公寓,进门第一眼老师一身黑衬衣。坐在哪里,开始做四项,四项没问题。老师问要不要洗澡,吓我一跳。要求老师陪浴,…

23 Oct 2026, 09:55 UTC117 viewsread 24 October 2026

花名:#魅影 年龄:27岁 身高:163cm 体重:106 胸围:36D 水费:400/p 800/pp 1500 (两小时内不限次数) 包夜 1600 上门6张起 服务内容:🐍吻、无套口、💦水中潇 胸推69 口爆 毒龙 深喉、可角色扮演、制服诱惑天花板、手撕丝袜、炮架、蚂蚁上树、风骚会玩 挑逗蛋蛋、三角区调情、水多逼紧、超级温顺、花样调情、微笑服务、乖巧懂事、 只要哥哥需要,妹妹一定把情绪价值拉满。丝袜制服特色:皮肤丝滑,听调教,水多多 床上功夫深,非常骚,叫床好听 配合各位哥哥姐夫老公各种爱爱姿势😍 ✈️联系:@ytongt 🤖双向:@YueTong521bot 📲频道:https://t.me/bshjsjsnj

Showing the 5 most recent of 5 posts we hold for @bshjsjsnj. 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“魅影的小屋” (@bshjsjsnj), 142 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/bshjsjsnj.

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.