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Channel

绿帽圈|淫妻调教

@lumaoquanv1

2 usernames

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

4,169subscribers

+4,069 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003975991020
TypeChannel
Usernames@lumaoquan @lumaoquanv1
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 September 2026
Last confirmed live30 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 30 September 2026
On Telegramt.me/lumaoquanv1

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 16 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.

Growth

1004,1692,134.57 August 2026 — 100 subscribers16 August 2026 — 114 subscribers24 August 2026 — 111 subscribers1 September 2026 — 115 subscribers9 September 2026 — 115 subscribers9 September 2026 — 992 subscribers12 September 2026 — 1,333 subscribers16 September 2026 — 2,038 subscribers18 September 2026 — 2,406 subscribers28 September 2026 — 3,947 subscribers30 September 2026 — 4,169 subscribers7 August 202630 September 2026
11 measurements spanning 53 days, net +4,069. 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
30 Sept 2026, 01:574,169+222
28 Sept 2026, 12:423,947+1,541
18 Sept 2026, 14:372,406+368
16 Sept 2026, 07:192,038+705
12 Sept 2026, 05:201,333+341
9 Sept 2026, 23:36992+877
9 Sept 2026, 23:22115no change
1 Sept 2026, 09:33115+4
24 Aug 2026, 17:58111-3
16 Aug 2026, 15:48114+14
7 Aug 2026, 22:45100first reading

Engagement

16 posts held, back to 7 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
7.46%
avg views ÷ 4,169 subscribers
Avg views / post
311
16 posts measured
Reaction rate
0.086%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 3 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 9 September 2026
Posts held16 (7 September 2026 – 9 September 2026)
Views total4,974
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 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

Video runtime
5h 14m
Average length
20m 57s

Measured directly from 15 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 3 of the 16 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 7 September 2026 to 9 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

9 Sept 2026, 20:17 UTC41 viewsread 9 September 2026
Video

疫情期间没得玩?快来看这组!把老婆反绑在床头,眼睁睁看着她被陌生壮汉粗暴地撕开衣服,在绝望和快感中被干到失神。这种背德的禁忌快感,才是真正的解压! #禁锢 #粗暴 强制 羞耻 崩溃 🔝 查看置顶消息进内部群 🔜 内部群有上万部绿帽视频

9 Sept 2026, 19:50 UTC44 viewsread 9 September 2026
Video

蒙眼、掰开、粗暴地展示,男友就这么把自己的女人当成公共玩具,在众人的目光下玩到汁水四溅。这种禁忌的背德感,是不是让你也想冲进来分一杯羹? #绿帽 #喷水 🔝 查看置顶消息进内部群 🔜 内部群每天更新最新内容

9 Sept 2026, 19:30 UTC48 viewsread 9 September 2026
Video

这骚屁股直接骑上去,被那根黑粗管子顶得死死的,就这么被狠抽在胯下。最后一口浓精全给灌进喉咙里,一滴不剩全吞了,真是贱得没边了。 #极品肉欲 🔝 查看底部消息进内部群 🔜 已稳定持续更新一年半

9 Sept 2026, 18:58 UTC54 viewsread 9 September 2026
Video

蒙眼老婆,请野男进房。结果这怂货没几下就缴枪了,被老婆撸得直接缴械!没脸见人只能强撑着后入,最后实在顶不住,得请门外的绿帽进屋“刷锅”。让怂男拿相机记录,看绿帽怎么在满是精液的骚穴里狠操,直接把两个男人的种全部灌满子宫! #淫妻绿帽 #3P 🔝 查看置顶消息进内部群 🔜 内部群有上万部绿帽视频

9 Sept 2026, 18:23 UTC72 viewsread 9 September 2026
Video

这人妻真是烂透了,竟然把被两个黑粗巨物轮到当成荣耀!看着她被按在腰上,像个破布娃娃一样被猛烈后插,奶子甩得乱飞,嗓子里全是被顶到胃口的绝望尖叫。这种被粗暴撑爆的快感,你确定不进来看看? #媚黑 #人妻 巨物 猛烈撞击 粗暴 🏷️ 标签 #绿帽 #调教 #淫妻 🔝 查看置顶消息进内部群

8 Sept 2026, 19:56 UTC351 viewsread 9 September 2026
Video

这熟妇简直浪到没边了,直接被两个小伙子给玩坏了。一个在后面狠操,一个在前面堵嘴,活生生被顶成了一个肉便器。看她那副承接不住的淫荡样,就差跪求着让他们把精液灌满了。 #淫妻绿帽 #3P 🏷️ 标签 #绿帽 #调教 #淫妻 🔝 查看置顶消息进内部群

8 Sept 2026, 19:25 UTC367 views0 reactionsread 9 September 2026
Video

西安大表姐这集太顶了!直接在自家床榻上被几个壮汉轮番操翻,那种被多人粗暴贯穿的绝望快感,看得人直打颤。看着她被玩成烂抹布的样子,真想直接冲进去分一杯羹。 #西安大表姐 #多人运动 🔝 查看底部消息进内部群 🔜 已稳定持续更新一年半

8 Sept 2026, 19:18 UTC343 viewsread 9 September 2026
Video

这骚臀直接骑在黑粗棒上死命地上下操,被顶得死去活来。大黑牛像疯了一样狂抽,最后直接把浓精全灌她嘴里,一口没剩全部吞了个干净,啧啧,真浪。 #黑洞 #肉欲 粗暴 吞精 🏷️ 标签 #绿帽 #调教 #淫妻 🔝 查看置顶消息进内部群

8 Sept 2026, 18:32 UTC318 viewsread 9 September 2026
Video

红内衣勾出极品肉体,骚嫂子被小叔子的大货顶得合不拢腿,淫水直接把床单打湿了。没半句废话,直接把她腿掰到肩膀上,对着那口嫩穴就死命地猛顶,插得她灵魂都散了。这禁忌的滋味,真他妈绝了! #禁忌快感 换妻 出轨 🔝 查看底部消息进内部群 🔜 已稳定持续更新一年半

8 Sept 2026, 18:19 UTC293 views0 reactionsread 9 September 2026
Video

帐篷被顶得乱晃,极品少妇在户外被两个壮汉轮番死磕。听听那激烈的肉体撞击声,一个在前面猛顶,一个在后面死掐,直接把她搞得失神求饶。想看她被玩坏的完整版?快进来! #淫妻绿帽 #3P 🔝 查看底部消息进内部群 🔜 已稳定持续更新一年半

7 Sept 2026, 19:09 UTC523 viewsread 9 September 2026
Video

看着自己的女人在别人身下浪叫,这种禁忌的快感真能让人疯掉。粗暴地撕开伪装,换个口,换个腰,在极致的背德刺激中,把禁忌玩出花来。快进来,看这场肉欲横流的交换盛宴! #换妻 #背德快感 🏷️ 标签 #绿帽 #调教 #淫妻 🔝 查看置顶消息进内部群

7 Sept 2026, 18:43 UTC476 viewsread 9 September 2026
Video

这就得看你老婆被撑到极限的浪样了。老公先用大号假货把骚穴扩得松松垮垮,就为了等会儿能跟单男双龙齐下,把逼口撑到撕裂。最后老公再狠狠顶进去,直接把浓白浆死死钉在子宫口。 #群P #内射 🏷️ 标签 #绿帽 #调教 #淫妻 🔝 查看置顶消息进内部群

Showing the 12 most recent of 16 posts we hold for @lumaoquanv1. 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.

Mentions

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

“绿帽圈|淫妻调教” (@lumaoquanv1), 4,169 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/lumaoquanv1.

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.