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Channel
东莞高端车资源
@dggdc22
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
30,956subscribers
+4,859 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002148023061 |
|---|---|
| Type | Channel |
| Username | @dggdc22 |
| Description | 🌹上榜认证管理员🌹 @Zxc5588 东莞高端车交流群:https://t.me/dggdcf00 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/dggdc22 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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 |
|---|---|---|
| 22 Oct 2026, 18:00 | 30,956 | -664 |
| 21 Oct 2026, 14:47 | 31,620 | +383 |
| 20 Oct 2026, 11:34 | 31,237 | -642 |
| 19 Oct 2026, 08:35 | 31,879 | -549 |
| 18 Oct 2026, 11:14 | 32,428 | +630 |
| 17 Oct 2026, 13:45 | 31,798 | -645 |
| 16 Oct 2026, 10:10 | 32,443 | -614 |
| 15 Oct 2026, 09:41 | 33,057 | -281 |
| 14 Oct 2026, 12:28 | 33,338 | +303 |
| 13 Oct 2026, 00:14 | 33,035 | -724 |
| 8 Oct 2026, 12:56 | 33,759 | -678 |
| 4 Oct 2026, 04:40 | 34,437 | -232 |
| 25 Sept 2026, 12:58 | 34,669 | +95 |
| 18 Sept 2026, 22:38 | 34,574 | +5,513 |
| 16 Sept 2026, 17:18 | 29,061 | -337 |
| 14 Sept 2026, 23:17 | 29,398 | -584 |
| 13 Sept 2026, 09:17 | 29,982 | +4,068 |
| 11 Sept 2026, 12:20 | 25,914 | -988 |
| 8 Sept 2026, 17:40 | 26,902 | +5,576 |
| 5 Sept 2026, 10:01 | 21,326 | first reading |
Engagement
69 posts held, back to 19 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 92 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.32%
- avg views ÷ 30,956 subscribers
- Avg views / post
- 1,960
- 38 posts measured
- Reaction rate
- 0.049%
- reactions ÷ views · ER floor
- Posts in window
- 38
- of 69 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 16 of 38 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 69 (19 August 2026 – 22 October 2026) |
| Views total | 74,327 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Oct 2026, 03:27 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
- ≈2,490
- Videos
- ≈267
- Links
- ≈429
Lifetime counters from Telegram’s own channel header, read 23 October 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 43s
- Average length
- 7s
Measured directly from 22 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
33 reactions across 30 posts, in 8 distinct kinds. The most used accounts for 36.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 12 | 36.4% | |
| 🍌 | 5 | 15.2% | |
| 👌 | 5 | 15.2% | |
| 👍 | 4 | 12.1% | |
| 🔥 | 3 | 9.09% | |
| 💔 | 2 | 6.06% | |
| ❤🔥 | 1 | 3.03% | |
| 👎 | 1 | 3.03% |
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 30 of the 69 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 19 August 2026 to 22 October 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
😀😀😀😀 ✨ 坐标:#东莞 #大朗 💋 花名:#小猪 #已认证 ✈️ 私聊: @dlxzz1 💌 频道: https://t.me/dlxzz2 👀双向: @dlxzz3bot 💰 课费: #400p-800pp 👑标签:#69 #鸳鸯浴 #无套口 #漫游 #臀推 #胸推 #舌吻 #丝袜 #制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀
🔥1
😀😀😀😀 ✨ 坐标: #东莞 #大朗 💋 花名:#果冻 ✈️ 私聊: @ancgdtrb 💌 频道: https://t.me/gdshyaa 👀双向: @Gdsbhyaa_bot 💰 课费: #700p-1300pp 👑标签: #69 #鸳鸯浴 #舌吻 #舔咪咪 #舔蛋蛋 #水中箫 #制服丝袜 #高跟 #胸推 #臀推 #激情 #配合 😀😀😀😀 😀😀😀😀😀
❤1
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😀😀😀😀 ✨ 坐标:#东莞 #虎门 💋 花名:#艾琳 #已认证 ✈️ 私聊: @Aioloaw 💌 频道: https://t.me/aiuuDEW 👀双向: @Aiiddebot 💰 课费: #600p-1200pp 👑标签:#69 #鸳鸯浴 #无套口 #水中箫 #臀推 #胸推 #舌吻 #丝袜 #制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀
❤1
#惠城 #麦地 惠州顶尖会所 📱📱📱📱 惠城唯一不发假图会所 百分百保证真实照片 (关键词搜索🔍) 惠城-河南岸-麦地-东平-水东街-桥东-龙丰-水口-江北-小金口-乌石-仲恺-陈江 #商k #k歌沐足 #生日聚会 #派对等 惠阳-大亚湾-淡水-新圩-镇隆- 博罗-园洲-罗阳-石湾-龙溪-湖镇 惠东-平山-大岭-吉隆 电话预约:15768462025 QQ预约:2332472300 顶尖客服:@Huizhouabingbot 金牌客服:@tangguo1660 群聊:https://t.me/tangguo16600 频道:https://t.me/guliang321
😀😀😀😀 ✨ 坐标:#东莞 #大朗 💋 花名:#水水 #已认证 ✈️ 私聊: @Jgh56i 💌 频道: https://t.me/Kco77j 👀双向: @Shk93j_bot 💰 课费: #700p-1400pp 👑标签:#鸳鸯浴 #无套口 #舔蛋蛋 #吸蛋蛋 #亲咪咪 #调情 #丝袜 #制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀
#河南岸222号 #河南岸888号 #河南岸666号 #河南岸111号 #惠州 #河南岸 #金山湖 #麦地 #水口 #下铺(河南岸) 双向联系:@Huizhouabingbot 技师照片:https://t.me/guliang321/1318
惠州顶尖会所 📱📱📱📱 惠城唯一不发假图会所 百分百保证真实照片 (关键词搜索🔍) 惠城-河南岸-麦地-东平-水东街-桥东-龙丰-水口-江北-小金口-乌石-仲恺-陈江 #商k #k歌沐足 #生日聚会 #派对等多种玩法 (惠阳-大亚湾-淡水-新圩-镇隆-三和) (博罗-园洲-罗阳-石湾-龙溪-湖镇) (惠东-平山-大岭-吉隆) 电话预约:15768462025 QQ预约:1572656119 顶尖客服:@Huizhouabingbot 金牌客服:@tangguo1660 群聊:https://t.me/tangguo16600
😀😀😀😀 ✨ 坐标:#东莞 #虎门 💋 花名:#麦兜 #已认证 ✈️ 私聊: @aaa9807a 💌 频道: https://t.me/aaa9087a 👀双向: @maidoubaobeia_bot 💰 课费: #700p-1300pp 👑标签:#鸳鸯浴 #无套口 #舔蛋蛋 #吸蛋蛋 #亲咪咪 #调情 #丝袜 #制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀
😀😀😀😀 ✨ 坐标:#东莞 #东城 💋 花名:#小梦 #已认证 ✈️ 私聊: @xiaomeng8633 💌 频道: https://t.me/xiaomeng2299 👀双向: @xiaomeng8633_bot 💰 课费: #700p-1300pp 👑标签:#鸳鸯浴 #胸推 #冰火 #蚂蚁上树 #情趣内衣 #调情 #丝袜 #制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀
#麦地红牌857 微信:Yaqi020601 92-94时间内两次 不来勿扰,鸽子口嗨直接拉黑。
Showing the 12 most recent of 69 posts we hold for @dggdc22. 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.
@guliang321 · 5,0999 posts惠州出击选妃群1.0《免费上榜》
@tangguo16600 · 4,8687 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,067,1404 posts灿灿酱
@cancanjian12 · 4432 posts小果冻是白虎
@gdshyaa · 2,9242 posts惠州倩倩的私密小窝
@juanjuqn888 · 1772 posts东莞惠州94会所海选专场
@Qqm666888 · 3,3702 posts惠州(出勤)报告榜
@baogao1515 · 2441 post大圣资源共享🌏
@datgzs · 81,7321 post大朗💋婷婷🐍69
@dgdlt · 7141 post东莞高端车府
@dggdcf00 · 37,5331 post惠州飒飒的私密小窝
@gaosasasa66 · 3451 post惠州高端车资源
@hzgdcfzyb · 40,5871 post小酥的专属花园💐
@jiujiulailo · 2,2361 post东莞敏儿,95/98,个人工作室
@miner95986 · 1,7201 post首家包厢 298 | 东莞真空商K 摸摸唱 莎莎舞
@myktv22 · 2,7461 post东城 甜豆😘
@rtugrs · 8401 post东莞南城丝足👠会所反馈
@sizu456 · 10,4211 post惠州选妃聊天群
@tangguo160 · 2,2511 post惠州出击选妃频道
@tangguo1666 · 1,6861 post东莞曦儿
@xier783 · 6481 post盈婉的小窝
@YinW1688 · 541 post妍的心事
@yizhixiaomuyan999 · 1,3281 post🧧GT免费抽奖机器人🧧
@zzbjqrbot · 20,5721 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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“东莞高端车资源” (@dggdc22), 30,956 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/dggdc22.
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.