#大朗 悠悠 600p 1200pp 联系 @uu6381 频道 https://t.me/OMOJNL 双向 https://t.me/youyouxiaozhushoubot
Channel
大朗松山湖
@dgyyyzzz
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
9,489subscribers
+1,470 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 | -1003945287428 |
|---|---|
| Type | Channel |
| Username | @dgyyyzzz |
| Created | Between 1 April 2026 and 7 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/dgyyyzzz |
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 89% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 03:40 | 9,489 | +121 |
| 12 Sept 2026, 18:16 | 9,368 | +127 |
| 8 Sept 2026, 18:16 | 9,241 | +178 |
| 3 Sept 2026, 12:40 | 9,063 | +140 |
| 31 Aug 2026, 03:25 | 8,923 | +95 |
| 28 Aug 2026, 00:04 | 8,828 | +101 |
| 24 Aug 2026, 17:18 | 8,727 | +143 |
| 20 Aug 2026, 21:58 | 8,584 | +138 |
| 17 Aug 2026, 19:35 | 8,446 | +176 |
| 14 Aug 2026, 06:58 | 8,270 | +143 |
| 11 Aug 2026, 06:56 | 8,127 | +23 |
| 8 Aug 2026, 09:10 | 8,104 | +85 |
| 7 Aug 2026, 14:31 | 8,019 | first reading |
Engagement
57 posts held, back to 7 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 23 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.81%
- avg views ÷ 9,489 subscribers
- Avg views / post
- 931
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 6
- of 57 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 28 August 2026 |
|---|---|
| Posts held | 57 (7 August 2026 – 28 August 2026) |
| Views total | 5,587 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 16:12 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
- 8m 05s
- Average length
- 11s
Measured directly from 46 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
#大朗 小艺 600p 1100pp 联系 @xioob520 频道 https://t.me/xiahh520 双向 @xiifj520bot
#大朗 年年 700p 1400pp 联系 @Nian099 频道 https://t.me/NNfuli111 双向 @Nian01bot
#大朗 可可晴 500p 1000pp 联系 @gegeupp 频道 https://t.me/gegekhc 双向 @kekedo88bot
#大朗 嘉嘉 600p 1200pp 联系 @jiajiat2005 频道 https://t.me/weiwei88888888 双向 @jiajiazz2005bot
#大朗 唯依 700p 1400pp 联系 @weiyyc 频道 t.me/weiy112 双向 @weiyssbot
#大朗 婉柔 600p 1200pp 联系 @wanrouz88 频道 https://t.me/wanrouz99 双向 @wanrouzzbot
#松山湖 抓龙筋 小满 A套餐 499 B套餐 699 联系 @L451688 频道 https://t.me/ljh16899 双向机器人 @ylffjj_bot
#大朗 琪妹 600p 1200pp 联系 @qimai1100 频道 https://t.me/qimai0072 双向 @Xqimai01bot
#大朗 迟迟 600p 1100pp 联系 @hsnzjiiw 频道 https://t.me/yy13156 双向 @Chichi168bot
#大朗 年年 700p 1400pp 联系 @Nian099 频道 https://t.me/NNfuli111 双向 @Nian01bot
#大朗 欣怡 400一 800二 联系 @xinyi1689999 频道 https://t.me/xinyi16899 双向机器人 @xinyi168999999_bot
Showing the 12 most recent of 57 posts we hold for @dgyyyzzz. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 13 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.
@dgcjbg888 · 14,46497 posts东莞公开榜置顶有抽奖 @vcaaa
@dg9876543210 · 24,52635 posts东莞公开榜2.0🥇置顶有抽奖
@dongguanligongxueyuan · 45,4065 posts苏禾的后宫🧚♀
@suhegk · 1,4244 posts服务版妍妍👅
@xinyanlg · 5833 posts园州
@dgjjjzzz · 2,6402 posts黄江塘厦
@dgtttrrr · 2,6942 posts服务版芙蓉
@furongjo · 4,0792 posts琪琪的秘密基地
@ao0021 · 471 post我的小屋
@dudumei992 · 6311 post是萌萌哇😊
@menmgj · 6601 post泡泡朋友圈
@xiaohuipyq · 3471 post园洲98莞式服务一条🐉
@yzgsfwytl · 2,1241 post
Names
Channels on the register whose handles appear in this channel's posts.
@NNfuli111 · 6082 posts小沫的宝贝
@BbOTS520 · 3411 post东莞小丑群(纯公狗)老师禁入
@DG66DS · 23,6191 post丫丫家的宝贝
@dhebhdmidjyd8 · 681 post佛山美食交流群
@foshameishi · 2,5451 post可可晴可🐍可69
@gegekhc · 1621 post广州🐑村(每天抽现金)
@guangzhouyangyang · 9,1271 post果果朋友圈
@guoguoa · 1,9241 post六~(摸鱼版)
@liuliu7575 · 2,6171 post小满 抓龙筋 个人频道
@ljh16899 · 4231 postLotteryBest Bot
@LotteryBestBot · 99,1831 post悠悠小家庭
@OMOJNL · 2821 post琪妹的小世界
@qimai0072 · 3811 post提莫的个人空间
@timo5682 · 2731 post微微的私密小🏘️
@weiwei67799 · 1,9911 post小布丁的后花园
@xiaobudin228 · 1,9271 post小耳朵👂🏻课堂
@xiaoerduo6689 · 3311 post泡泡朋友圈
@xiaohuipyq · 3471 post东莞羞羞的朋友圈
@xiuxiu796 · 2,3661 post小丸子的小家☺️
@xixigg6 · 3331 post媛媛的窝窝
@yanyan5788 · 2,5651 post羽彤的小城堡
@yutong1177 · 3,1381 post迟迟的后🌸花园
@yy13156 · 3271 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@dgyyyzzz named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 27 August 2026 – 27 August 2026 · confirmed gone 12 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“大朗松山湖” (@dgyyyzzz), 9,489 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/dgyyyzzz.
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.