🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🔥 🤓#寶妮 🤓#tang 🤓#sula 🤓#tina 🤓#jelly 🤓#caca可無套➕5️⃣0️⃣0️⃣ 🤓#lvy可無套➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️

Channel
❤️💚💛囡囡大本型❤️💚💛
@ladygirlgroup
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
8,439subscribers
-290 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 |
|---|---|
| Type | Channel |
| Username | @ladygirlgroup |
| Description | ⭐️睇女總部:https://t.me/ladygirlgroup ☎️查詢熱線:歡迎詢問 《❤️💚💛囡囡大本型❤️💚💛》 🌟每日都有5️⃣同類型5️⃣同質素既囡囡更新♻️務求幫到每一位師兄解決需要💦最緊要係幫到你地🩷希望各位多多支持🙏🏻多多分享📱 警告︰本頻道只適合18歲或以上人士進入或觀看 (或合乎你當地的成年合法年齡)。谷內內容可能令人反感,不可將此谷的內容派發、傳閱、出售、出租、交給或借予年齡未滿18歲的人士或將谷內內容向該人士出示、播放或放映。 |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 10:01 | 8,439 | -9 |
| 7 Nov 2026, 07:41 | 8,448 | -7 |
| 4 Nov 2026, 13:17 | 8,455 | -7 |
| 1 Nov 2026, 10:25 | 8,462 | -13 |
| 29 Oct 2026, 05:39 | 8,475 | -10 |
| 26 Oct 2026, 07:37 | 8,485 | -11 |
| 23 Oct 2026, 05:56 | 8,496 | -7 |
| 20 Oct 2026, 13:21 | 8,503 | -13 |
| 17 Oct 2026, 04:47 | 8,516 | -8 |
| 14 Oct 2026, 05:00 | 8,524 | -14 |
| 9 Oct 2026, 18:55 | 8,538 | -34 |
| 29 Sept 2026, 09:16 | 8,572 | -28 |
| 19 Sept 2026, 17:20 | 8,600 | -10 |
| 15 Sept 2026, 01:18 | 8,610 | -13 |
| 11 Sept 2026, 09:38 | 8,623 | -17 |
| 6 Sept 2026, 21:40 | 8,640 | -13 |
| 2 Sept 2026, 00:53 | 8,653 | -15 |
| 29 Aug 2026, 18:56 | 8,668 | -8 |
| 26 Aug 2026, 08:48 | 8,676 | -8 |
| 22 Aug 2026, 22:23 | 8,684 | first reading |
Engagement
217 posts held, back to 6 August 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 43 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.60%
- avg views ÷ 8,439 subscribers
- Avg views / post
- 135
- 80 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 80
- of 217 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.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 217 (6 August 2026 – 10 November 2026) |
| Views total | 10,783 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Nov 2026, 12:36 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
- ≈30,600
- Videos
- ≈1,480
- Links
- ≈3,870
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 2m 47s
- Average length
- 9s
Measured directly from 18 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
Telegram’s own ‘edited’ marker: 0 of 80 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#Gna 最新好評
#tang😈
🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🔥 🤓#寶妮 🤓#tang 🤓#sula 🤓#tina 🤓#jelly 🤓#caca可無套➕5️⃣0️⃣0️⃣ 🤓#lvy可無套➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
#caca🔥
#Yuki 最新好評
🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🔥 🤓#tang 🤓#sula 🤓#tina 🤓#jelly 🤓#kumi 🤓#caca可無套➕5️⃣0️⃣0️⃣ 🤓#lvy可無套➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
12號last day❤️❤️❤️
#Kawaii 最新好評
🚶🚶🔠🔠🔠🔠🔠🔠🔠🔠🚶🚶 ❤️😃😀😀❤️ ❤️😀😃😀❤️ #旺角🔥 🤓#tang 🤓#sula 🤓#tina 🤓#jelly 🤓#kumi 🤓#caca可無套➕5️⃣0️⃣0️⃣ 🤓#lvy可無套➕5️⃣0️⃣0️⃣ ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️ 📈SF睇圖號🖱 📈SF預約號👆 📈❤️ SF好評專區 ❤️ 💌 Lucy客服WhatApp預約號 ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
#tang👍👍👍
#Pron 最新好評
Showing the 12 most recent of 217 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
Republishes
Channels on the register whose posts this channel has forwarded.
@SFMGClub · 20,74060 posts超级乾®️Super Dry Girl 睇相頻道📸
@superdrygirl · 23,28224 posts尋寶閣🇭🇰神秘房睇圖號
@hongkongstar · 20,46313 posts超級乾泰菜精選
@Superdry66666 · 5,20812 postsNumberonespa睇圖號
@numberonespa1 · 8,62411 posts超級乾中菜精選
@Superdry6666666 · 2,0298 posts尋寶閣🇭🇰中菜專區
@Hongkongstar66 · 8446 posts尋寶閣🇭🇰泰菜專區
@Hongkongstar61413 · 1,5791 post
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
Names
Channels on the register whose handles appear in this channel's posts.
@SFMGClub · 20,74046 postsNumberOne❤️Spa好評區
@numberonespafeedback · 1,54016 posts多巴胺影片區
@Hongkongstar6 · 1,9268 postsNumberonespa泰菜睇圖號
@Numberonespathai · 5,4423 posts尋寶閣🇭🇰神秘房睇圖號
@hongkongstar · 20,4631 post尋寶閣🇭🇰泰菜專區
@Hongkongstar61413 · 1,5791 post尋寶閣🇭🇰中菜專區
@Hongkongstar66 · 8441 post尋寶閣🇭🇰包膠重溫討論
@hongkongstarfeedback · 3,1501 post
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 November 2026 — this entry's latest reading, not the date you are reading this.
“❤️💚💛囡囡大本型❤️💚💛” (@ladygirlgroup), 8,439 subscribers as measured 10 November 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.