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Channel

如姻的男闺圈

@Jjbhjh258

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

137subscribers

+119 since we began measuring on 8 September 2026

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

Register entry

Telegram ID-1004398419523
TypeChannel
Username@Jjbhjh258
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 September 2026
Last confirmed live10 September 2026
Measurements held3
On Telegramt.me/Jjbhjh258

Growth

1813777.58 September 2026 — 18 subscribers10 September 2026 — 137 subscribers10 September 2026 — 137 subscribers8 September 202610 September 2026
3 measurements spanning 3 days, net +119. 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 0–155 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 23:22137no change
10 Sept 2026, 23:17137+119
8 Sept 2026, 01:1718first reading

Engagement

20 posts held, back to 8 September 2026the 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
225.4%
avg views ÷ 137 subscribers
Avg views / post
309
20 posts measured
Reaction rate
0.239%
reactions ÷ views · ER floor
Posts in window
20
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 4 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 September 2026
Posts held20 (8 September 202610 September 2026)
Views total6,175
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 23:22 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
16
Videos
4
Links
8

Lifetime counters from Telegram’s own channel header, read 10 September 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
25s
Average length
8s

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

4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
375.0%
🥰125.0%

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 4 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 4 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 8 September 2026 to 10 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

10 Sept 2026, 20:29 UTC35 viewsread 10 September 2026
Video

来自宝子的上帝视角,给宝子们来点福利!😍😍🥰🥰

10 Sept 2026, 16:00 UTC183 viewsread 10 September 2026

抽奖如姻宝贝-赞助推出(编号L178885205743)已成功开奖: 创建人:主任【老师认证】[8171725414] 已参与人数:36 中奖名单如下: 白起[5853132764](奖品为100优惠券) 运气选手走的远[5865664131](奖品为100优惠券) 李航[7772321634](奖品为1p半价) 小飞龟[8131554822](奖品为100优惠券)

10 Sept 2026, 12:39 UTC236 viewsread 10 September 2026
Photo

下雨天都没有宝宝们找妹妹出击的吗,下雨天最适合出击啦!

10 Sept 2026, 08:40 UTC264 viewsread 10 September 2026
Video

开课啦,宝子们, 有没有过来找妹妹坐坐的呀😍

10 Sept 2026, 05:58 UTC268 viewsread 10 September 2026

【时间】:2026-09-10 【老师】:如烟 【留名】:匿名 【人照】:9.9 【颜值】:9.8 【身材】:9.8 【服务】:9.9 【态度】:9.9 【环境】:9.8 【综合】:9.85 【过程】: 今天约了一个头课,因为还是喜欢老师的身材和奶子,还有那态度和一张楚楚动人脸。进屋老师穿着黑色丝袜制服,婉若动人,连忙上手抚摸,再一起脱衣服入浴。洗完就换上一件制服开始服务,调情、口的很舒服很久,老师下面也开始冒水了,然后给老师服务一下,跟着就是常规爱爱时刻,因为本人不算持久,换了几个姿势后就顺利出货,休息了一下,看时间差不多,还要开半个多小时的车回公司,就去洗澡依依不舍的离开了。这价位的天花板吧,还会返的,下次呆久一点。

10 Sept 2026, 05:16 UTC244 viewsread 10 September 2026
Forwarded from @baogaobangbb

👉香山(珠海/中山)严选群👈 【验证留名】:阿光 【验证时间】:9月9日 【妹子花名】:#如烟 【所在位置】:#东区 【 安 全 性 】:优 【上课学费】:1300PP 【颜值打分】:9 【凶器罩杯】:B+ 【服务内容】:课表都有 【修车详情】: 在群上看到老師就已經被他深深吸引 再看一眼課表 06年的寶寶 長相很甜美 果斷出擊。剛到不熟悉位置繞了一大圈。一進去老師就主動脫衣服 一起洗澡。雪白的肌膚 已經讓我很衝動。2個人在床上 互相撫摸一下就進入正題。第二次老師幫我口的時候也很有耐心 抱一起讓我想起前女友。然後一頓猛插真的好愛下次還會再去,服务态度真的是实打实的满分 非常好的寶寶 【优点缺点】:皮膚很白 胸很軟。 【推荐程度】:9颗星 温馨提示:报告仅供参考 报告提交给机器人: @kaixinjieni_bot (订阅:不迷路) 👇👇👇 香山(珠海/中山)严选群报告榜

9 Sept 2026, 06:25 UTC416 viewsread 10 September 2026
Photo

开课啦!宝子们,头课还在哟,有没有宝子过来找妹妹坐坐呀

Showing the 12 most recent of 20 posts we hold for @Jjbhjh258. 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 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.

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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“如姻的男闺圈” (@Jjbhjh258), 137 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/Jjbhjh258.

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.