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Channel

❤️💚💛囡囡大本型❤️💚💛

@ladygirlgroup

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

8,600subscribers

-129 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001260131742
TypeChannel
Username@ladygirlgroup
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/ladygirlgroup

Topic

Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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

8,6008,7298,664.56 August 2026 — 8,729 subscribers7 August 2026 — 8,728 subscribers10 August 2026 — 8,719 subscribers12 August 2026 — 8,711 subscribers16 August 2026 — 8,698 subscribers19 August 2026 — 8,688 subscribers22 August 2026 — 8,684 subscribers26 August 2026 — 8,676 subscribers29 August 2026 — 8,668 subscribers2 September 2026 — 8,653 subscribers6 September 2026 — 8,640 subscribers11 September 2026 — 8,623 subscribers15 September 2026 — 8,610 subscribers19 September 2026 — 8,600 subscribers6 August 202619 September 2026
14 measurements spanning 44 days, net -129. 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 8,581–8,748 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 17:208,600-10
15 Sept 2026, 01:188,610-13
11 Sept 2026, 09:388,623-17
6 Sept 2026, 21:408,640-13
2 Sept 2026, 00:538,653-15
29 Aug 2026, 18:568,668-8
26 Aug 2026, 08:488,676-8
22 Aug 2026, 22:238,684-4
19 Aug 2026, 11:158,688-10
16 Aug 2026, 09:038,698-13
12 Aug 2026, 23:048,711-8
10 Aug 2026, 03:138,719-9
7 Aug 2026, 13:308,728-1
6 Aug 2026, 15:458,729first reading

Engagement

137 posts held, back to 6 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 28 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.268%
avg views ÷ 8,600 subscribers
Avg views / post
23.0
39 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
39
of 137 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 28 August 2026
Posts held137 (6 August 202628 August 2026)
Views total898
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:37 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
2m 13s
Average length
10s

Measured directly from 14 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.

Recent posts

28 Aug 2026, 15:24 UTC12 viewsread 28 August 2026
Forwarded from @numberonespa1Video

🔥宜家🈶女🈶房 🈶位🔥 #歡迎預約囡囡留位 #點擊水牌快速查詢了解 📱快速預約👉🏻@Numberonenuru

28 Aug 2026, 11:46 UTC20 viewsread 28 August 2026
Forwarded from @SFMGClubPhoto

🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🥰 🤓#提子 🤓#Tang(4號離開) 🤓#Ali 🤓#day 🤓#JoJo可無套➕5️⃣0️⃣0️⃣(off) 🤓#naga可無套➕5️⃣0️⃣0️⃣ 🤓#Ema可無套/後花園➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️

28 Aug 2026, 09:48 UTC6 viewsread 28 August 2026
Forwarded from @SFMGClubPhoto

🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🥰 🤓#提子 🤓#Tang(4號離開) 🤓#Ali 🤓#day 🤓#JoJo可無套➕5️⃣0️⃣0️⃣(off) 🤓#naga可無套➕5️⃣0️⃣0️⃣ 🤓#Ema可無套/後花園➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️

26 Aug 2026, 22:57 UTC7 viewsread 27 August 2026
Forwarded from @hongkongstarPhoto

🔥今日囡囡🈶房🈶位即上↑🔥 🔤🔤🔤 ✨🏠尋寶閣睇圖號🏠✨ 💟真人實拍照片 ✍🏻好評討論區 🍒🍒中菜專區🍒🍒 🍒🍒泰菜專區🍒🍒 🤘多巴胺影片區🔞 ✈️🕝客服雪碧妹妹👉 @hkstarbooking

26 Aug 2026, 22:34 UTC9 viewsread 27 August 2026
Forwarded from @Hongkongstar66Photo

❣️(MK)今日中韓菜名單🥰 🥐奶路臣街 #木子 口技一流 細隻馬淫娃 巨乳38F 🥐彌敦道 #嘉寶 口技一流 女友feel 緊窄水多 🥐SSp #智熙 高質韓國高妹 模特身材 吹功了得 ……………………………………………………… 🌿🫶🌿 🌿🫶🌿 🌿🌿🫶……………………………………………………… 600/45mins/1Q 😀 700/60mins/1Q 900/75mins/1-2Q 1400/120mins/2Q 😀點擊按鈕即🉑預約⬇️⬇️⬇️ ❤️心動預約 👉 @hkstarbooking

26 Aug 2026, 22:34 UTC6 viewsread 27 August 2026
Forwarded from @Hongkongstar66Photo

🔤🔤🔤✨🏠尋寶閣神秘房🏠✨ 😀 #木子 🐇25 🐇158cm 🍼38F💯 😀 600/45mins/1Q 700/60mins/1Q 900/75mins/2Q ✔️服務:🔴大小車😀🔴🤩🤩🔴品鮑🔴毒龍🐉🔴口爆🔴雙飛🔴過夜 😵其他增值服務🉑現場同女女傾⭐ 📞/😀/Wts預約: +852 66638313 🫰Tg預約:@hkstarbooking #客服強烈推薦 #口技一流 #後生高質👍🏻 #淫娃 #巨乳38F ⭐️⭐️⭐️⭐️⭐️

26 Aug 2026, 10:13 UTC6 viewsread 26 August 2026
Forwarded from @SFMGClubPhoto

#susu 28號離開🐾 #tang 4號離開🐾

26 Aug 2026, 10:11 UTC4 viewsread 26 August 2026
Forwarded from @SFMGClubPhoto

🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🥰 🤓#淺淺 🤓#提子 🤓#Tang 🤓#day 🤓#SuSu可無套➕5️⃣0️⃣0️⃣ 🤓#JoJo可無套➕5️⃣0️⃣0️⃣ 🤓#naga可無套➕5️⃣0️⃣0️⃣ 🤓#Ema可無套/後花園➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️

Showing the 12 most recent of 137 posts we hold for @ladygirlgroup. 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

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

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

“❤️💚💛囡囡大本型❤️💚💛” (@ladygirlgroup), 8,600 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ladygirlgroup.

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.