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Channel

七七的后宫

@wihwvsl

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

319subscribers

+266 since we began measuring on 26 August 2026

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

Register entry

Telegram ID-1004372484496
TypeChannel
Username@wihwvsl
Created23 August 2026measured — dated from the channel’s first post
First recorded26 August 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/wihwvsl

Growth

53326189.526 August 2026 — 53 subscribers26 August 2026 — 53 subscribers3 September 2026 — 132 subscribers11 September 2026 — 326 subscribers18 September 2026 — 319 subscribers31926 August 202618 September 2026
5 measurements spanning 23 days, net +266. 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 12–367 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 23:55319-7
11 Sept 2026, 11:16326+194
3 Sept 2026, 00:57132+79
26 Aug 2026, 12:5453no change
26 Aug 2026, 12:4553first reading

Engagement

12 posts held, back to 23 August 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
38.2%
avg views ÷ 319 subscribers
Avg views / post
122
9 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 2 of 9 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 26 August 2026
Posts held12 (23 August 202626 August 2026)
Views total1,096
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Aug 2026, 12:45 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

Video runtime
13s
Average length
13s

Measured directly from 1 video 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 12 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 23 August 2026 to 26 August 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

26 Aug 2026, 03:05 UTC43 viewsread 26 August 2026
Forwarded from @NNnmmtlu

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】七七 【联系方式】@qiqiuuu_bot 【所在位置】佛山禅城 【验证留名】橛子花开 【验证时间】8.26 【修车费用】3000 【颜值身材】10分 【服务内容】课程表的都有 【服务态度】特别好 【优点缺点】全是优点 【推荐程度】9.5分 【体验细节】七七穿的可爱,一身粉色穿的特别萌妹呀!服务非常到位,情绪价值高,上门时间很及时,学习很认真,有点内向,性格很好,🐻很软,还在发育,下面水很多,口的很认真,虽然说口的不是很好,各种姿势都很配合。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Fndxbgbot

25 Aug 2026, 16:02 UTC64 views1 reactionsread 26 August 2026
Forwarded from @NNnmmtlu

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】七七 【联系方式】@uuuurdojh 【所在位置】外出上门 【验证留名】匿名 【验证时间】2026.8.25 【修车费用】1400pp+100车费 【颜值身材】人照9成黄皮无纹身,很嫩,真18 【服务内容】课表 【服务态度】良好 【优点缺点】优点:姿势配合,服务态度好,听话不催钟;缺点:嫩妹大部分都不会,需要慢慢教,口技一般,喜欢嫩妹的可以忽略; 【推荐程度】9 【体验细节】刷榜刷到七七有眼缘,刚好白天没有预约便约上门课,进门看到老师一身白衣嫩妹造型很可爱,基本人照一致便交了水费,先是在客厅沙发开始一点前戏,要求老师坐着大腿上抱在一起🐍,然后慢慢褪去老师的衣服,胸b不大不小,感觉还在发育,轻轻亲了一下也是重新体验到了18岁女友的感觉,一顿前戏操作过后,询问是否一起洗澡,我们都在来之前都洗过了所以就直接步入正题,起手再蛇一翻,然后慢慢亲三点,下面毛很少,粉嫩馒

1

25 Aug 2026, 08:47 UTC102 views1 reactionsread 26 August 2026
Forwarded from @NNnmmtlu

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】七七 【联系方式】@qiqiuuu_bot 【所在位置】佛山禅城 【验证留名】白白 【验证时间】8.25 【修车费用】700 【颜值身材】颜值身材9分 【服务内容】课表都有 【服务态度】妹妹有点害羞,但态度很好 【优点缺点】今年才19岁 人照基本一致 颜值在线 【推荐程度】9 【体验细节】很久不出击,偶尔刷到的新妹妹很是心动,约好了之后风雨无阻也是找了很久才到,课室公寓私密性会好一些,进去就闲聊了一阵,交了水费过会后就一起去洗澡。一起都躺床上之后,妹妹就开始前戏服务,老师前戏服务就蛮普通,毕竟年纪比较小,没什么经验,简单口了两下。后面正戏的时候感觉出来老师的身体很敏感,但是很配合,基本想尝试的姿势都满足,也特意准备了丝袜(这点很加分)唯一缺点就是害羞了一点基本不怎么会叫。由于时间比较急就上了一课回去,下次希望能再次体验。 ♥️温馨提示: 以上仅代表个人体验,

1

24 Aug 2026, 06:43 UTC68 viewsread 26 August 2026
Forwarded from @FSNMB2Photo

❤️昵称:#七七 ✅已审核 🕐地区:#禅城区💴#700p 🚀电报:@uuuurdojh 🟡标签: #嫩妹 #舌吻 ☎️预约上课

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

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

“七七的后宫” (@wihwvsl), 319 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/wihwvsl.

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.