Telegram RegisterThe public register of Telegram

Channel

越秀Lisa的小窝(红休🀄️)

@se7MD7ven

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

1,347subscribers

+59 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003486895049
TypeChannel
Username@se7MD7ven
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/se7MD7ven

Growth

1,2881,3471,317.57 August 2026 — 1,288 subscribers7 August 2026 — 1,288 subscribers8 August 2026 — 1,298 subscribers11 August 2026 — 1,347 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net +59. 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 1,279–1,356 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 23:311,347+49
8 Aug 2026, 13:151,298+10
7 Aug 2026, 22:331,288no change
7 Aug 2026, 16:311,288first reading

Engagement

20 posts held, back to 28 July 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
91.7%
avg views ÷ 1,347 subscribers
Avg views / post
1,240
16 posts measured
Reaction rate
0.123%
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 16 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 5 August 2026
Posts held20 (28 July 20265 August 2026)
Views total19,768
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:33 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.

Reaction mix

7 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
457.1%
😁228.6%
👏114.3%

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 7reactions 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 28 July 2026 to 5 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

3 Aug 2026, 03:31 UTC942 viewsread 7 August 2026
Forwarded from @baogaowenxue

【永乐报告】https://t.me/guangfoyongle2020 【所在位置】越秀 【老师艺名】#Lisa 【联系方式】@Li_sa521 【验证留名】骚 【验证时间】2026/7/30 【上课价位】1p 【人照几成】看不出p图 【颜值分数】9,top1.5 【身材分数】9.9 【课表服务】都有 【态度分数】10 【优点缺点】 优点:主动热情身材好,感觉被QJ了 缺点:感觉被QJ了 【推荐程度】去了不亏 【体验细节】 《章台寻欢之娇媚惹火·LISA篇》 题记: 六月中旬,初见Lisa,沉于其娇美容颜,折于其矫健身段,本欲共赴春宵,岂料巧遇伊人歇息,遗憾作罢。缘之一字,实在难解,终盼得归期,遂快马加鞭,速赴居所。云雨巫山之后,极尽酣畅,故作此文。 正文: 午后,热浪袭人,却难阻风月之心。今日之行颇有不同,昨日已决意今日连御双姝,此乃平生未有之体验。坐于车间,难压期冀之心。首战佳人,名曰Li

3 Aug 2026, 03:31 UTC801 viewsread 7 August 2026
Forwarded from @baogaowenxue

【永乐报告】https://t.me/guangfoyongle2020 【所在位置】越秀 【老师艺名】#Lisa 【联系方式】@Li_sa521 【验证留名】駊龐 【验证时间】7/30 【上课价位】800 【人照几成】9.8 【颜值分数】9(满分10分,朱茵王祖贤之流算10分) 【身材分数】9(满分10分,车模超模般的身材可打10分) 【课表服务】全做(全做,做大部分,做一半,几乎全没做) 【态度分数】10(满分10分) 【优点缺点】優點太多了 缺點就是容易被秒🥲 【推荐程度】9.5 【体验细节】二返了 上次還是一個多月前 lisa開課就爆火了 約都約不上 好不容易約上了 下大雨都過來 誰能不喜歡健身妹子呢 皮膚好 身材正 二返輕車熟路 到房間 就和老師纏綿上了 邊親邊摸 脫了衣服就開始洗澡 水中蕭很舒服 洗完老師主動幫忙擦身 服務態度非常棒 出來選衣服 制服也不少來了一件泳衣情趣 可以欣賞大美臀 開始正戲 lisa的

30 Jul 2026, 10:11 UTC≈1,350 views2 reactionsread 7 August 2026
Photo

谢谢宝宝送我的小哭包,很喜欢😁

2

30 Jul 2026, 01:43 UTC≈1,400 views2 reactionsread 7 August 2026
Forwarded from @GBTBGBD

【工兵报告】https://t.me/GZGBTBT 【老师艺名】Lisa 【联系方式】@Li_sa521 【所在位置】越秀 【验证留名】Evelyn.. 【验证时间】7.29 【修车费用】800p 【颜值身材】夯100 【服务内容】课表都有 【服务态度】夯100 【优点缺点】身材一绝,热情火辣,非常主动,不冷场,给我一个社牛整不会了,又骚又可爱 【推荐程度】满天星 【体验细节】出差回来,朋友倾力推荐,便好奇的约了姐姐的课,按时到地点然后上楼刷卡开门,房间布局温馨中带着浓浓的情欲气息,OMG,刚见到lisa我就被惊艳到了,这小蛮腰和翘臀大奶兔,真的一眼万年,这种身材绝对是长久锻炼运动造就的,因为我本身就是健身的。第一反应不是欲罢不能而是充斥着后悔,后悔时间约少了。进门姐姐亲切的给我一个拥抱和暖意,一天的疲惫好像一瞬间烟消云散,交了水费,看着lisa温柔仔细地给你一件一件脱下,然后用她完美的娇躯环绕你全身,我想人间至味也不过如此了

1👏1

Showing the 12 most recent of 20 posts we hold for @se7MD7ven. 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.

Citation-graph rank

Citation-graph rank — 932,013 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“越秀Lisa的小窝(红休🀄️)” (@se7MD7ven), 1,347 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/se7MD7ven.

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.