#大朗 鑫怡 700一 1400二 私信: @hhh678966 课表:https://t.me/Xin999002 双向: @Xinyi0908bot 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan

Channel
东莞公开榜2.0
@dg98JT88
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
19,721subscribers
+669 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001063009959 |
|---|---|
| Type | Channel |
| Username | @dg98JT88 |
| Created | Between 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/dg98JT88 |
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 69% 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 |
|---|---|---|
| 17 Sept 2026, 08:39 | 19,721 | +45 |
| 15 Sept 2026, 05:16 | 19,676 | +25 |
| 13 Sept 2026, 13:57 | 19,651 | +59 |
| 11 Sept 2026, 19:01 | 19,592 | +85 |
| 9 Sept 2026, 08:55 | 19,507 | +98 |
| 6 Sept 2026, 01:37 | 19,409 | +50 |
| 4 Sept 2026, 00:37 | 19,359 | +46 |
| 2 Sept 2026, 12:04 | 19,313 | +17 |
| 1 Sept 2026, 14:58 | 19,296 | +33 |
| 31 Aug 2026, 13:34 | 19,263 | +29 |
| 30 Aug 2026, 13:38 | 19,234 | +54 |
| 29 Aug 2026, 12:03 | 19,180 | +49 |
| 28 Aug 2026, 10:34 | 19,131 | +38 |
| 27 Aug 2026, 13:27 | 19,093 | +41 |
| 26 Aug 2026, 17:00 | 19,052 | no change |
| 26 Aug 2026, 16:46 | 19,052 | first reading |
Engagement
54 posts held, back to 26 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 15 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.36%
- avg views ÷ 19,721 subscribers
- Avg views / post
- 268
- 54 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 54
- of 54 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 2 September 2026 |
|---|---|
| Posts held | 54 (26 August 2026 – 2 September 2026) |
| Views total | 14,476 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 01:18 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
- 6m 11s
- Average length
- 10s
Measured directly from 37 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 秋雅 400一 800二 双向:@qiuya56bot 频道:@qiuya66688 联系:@qiuya16888 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#虎门 小妍 600一 1200二 电报: @lqy200006 频道:https://t.me/dhdghuu 双向: @lqy1200006_bot 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#南城 萌萌 (172车模开课) 600一 1200二 电报: @mmyygr 频道:https://t.me/menmgj 机器人:@mmyjjbot 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#南城 小湿妹 (新人可🐍) 600一 1200二 电报: @xiaoshimei0188 频道:https://t.me/xsm0101 机器人:@Xiaoshimei0101_bot 更多资源: @DG98JTbot 出击报告(置顶模版):@DG98jituan
#南城 小叮当 (大三兼职) 600一 1200二 电报: @xdindd 频道:https://t.me/xiajhg 机器人:@xdiddbot 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#大朗 秋雅 400一 800二 双向:@qiuya56bot 频道:@qiuya66688 联系:@qiuya16888 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
🔥✒️🧡🧡💚🖤🔥点击导航🔥 😀😀全裸高端会所SPA 📱📱📱📱 4️⃣ 🔤 🐻胸推 👋手推 👠足推 📱臀推 🍒果冻 🐉毒龙 💦过水 👩🦰漫游 👄舌滑 🐻胸滑 👋指滑 🦶丝足 😛舔棍 🤓添蛋 📱添鲍 😍kiss 📱 📱 😀 😀😀😀😀 尽情手撕 原味丝可带走 —🪢依依防走失交流群🪢— ——1.谨防指南💋 ——2.好评参💋 🍒😀😀😀😀🍒 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 东莞全区😫东莞 东莞😣跳转 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ ⭐半裸499 ➡️全裸499💰 💎💎💎💎💎💎💎💎💎💎 💘预约:依依客服🦋 😀👉:2091754086 😀👉:17666228401 😀👉:XP91995 🥳:机器人依依助手 🫠🫠 🫠🫠🫠🫠🫠🫠🫠🫠 〰️〰️〰️〰️〰
#东城 小小苍井空 600一 1200二 私聊:@Canjinkon1 双向:@Canglaoshi123bot 频道:https://t.me/shhtt520/20 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#大朗 小瑶妹 400一 800二 电报: @xx678123 频道: https://t.me/xiaoyao01025 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#南城 月叶 (新人嫩妹) 700一 1300二 电报: @Yueye668 频道: https://t.me/Yueye123456 双向: @Yeye0085bot 更多资源: @DG98JTbot 出击报告(置顶模版): @DG98jituan
#大朗 香香 600一 1200二 私信:@xiangxiang988 频道:@xiangxiang256 机器人:@xiangxiang666bot 更多资源: @DG98JTbot 出击报告(置顶模版):@DG98jituan
Showing the 12 most recent of 54 posts we hold for @dg98JT88. 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
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.
Names
Channels on the register whose handles appear in this channel's posts.
@DG98jituan · 12,69953 posts东莞98集团群管家
@DG98JTbot · 11,61753 posts小敏~抓🐉筋频道
@humenjin52 · 2,9742 posts是萌萌哇😊
@menmgj · 6602 posts秋雅🉑拍摄个人频道🥰
@qiuya66688 · 4102 posts南城叶枝花个人带教室🉑上门
@abc023783 · 2,1761 post虎门纯子的个人花园
@chunzi33121 · 1,1021 post咪莎课堂
@cvbbvbnnmnvbnnvvb · 2561 post安安慕南专属男宠宝贝们的小家
@Jjkkhhhkjhh · 4,4491 post莉莉:🩷技师房🩷
@jsjsmsh63 · 3,3481 post奶茶的窝窝🧋
@naicha686 · 6241 post妮妮的Svip
@nini80907 · 2,9011 post寮步 橙橙 个人兼职💗💗
@putianyueyue678 · 2,1471 post苍老师小窝
@shhtt520 · 2,7931 post淘淘的后宫😚
@taotaokh · 901 post放下尊严赚钱的vlog😂
@xiajhg · 1,2151 post小小佳宝贝
@xiaoxiaojia976 · 5041 post陈巧儿的个人花园
@xiaoyan11233 · 2,8701 post小瑶妹的朋友圈
@xiaoyao01025 · 371 post海王之家🐬
@xinxin20005 · 2,1291 post南城小湿妹的大家庭
@xsm0101 · 3171 post妍希朋友圈
@Yanxi799 · 2,1671 post妍的心事
@yizhixiaomuyan999 · 9701 post月叶的后宫
@Yueye123456 · 1,0591 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“东莞公开榜2.0” (@dg98JT88), 19,721 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/dg98JT88.
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.