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Channel

东莞资源公开榜

@dongguancpdd

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

27,016subscribers

+339 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002601238746
TypeChannel
Username@dongguancpdd
Description交流群 @dg98jt 报告投稿: @dgbgtgbot 上榜/合作: @dongguankf_bot(晚班) @fanlaoersBot (白班) 报告频道: @dgbgfb
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live25 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/dongguancpdd

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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

26,67727,35527,0169 August 2026 — 26,677 subscribers10 August 2026 — 26,690 subscribers11 August 2026 — 26,708 subscribers12 August 2026 — 26,778 subscribers13 August 2026 — 26,851 subscribers14 August 2026 — 26,977 subscribers16 August 2026 — 26,963 subscribers17 August 2026 — 27,052 subscribers18 August 2026 — 27,095 subscribers19 August 2026 — 27,133 subscribers20 August 2026 — 27,206 subscribers22 August 2026 — 27,201 subscribers23 August 2026 — 27,247 subscribers26 August 2026 — 27,264 subscribers27 August 2026 — 27,332 subscribers28 August 2026 — 27,355 subscribers29 August 2026 — 27,344 subscribers29 August 2026 — 27,329 subscribers31 August 2026 — 27,315 subscribers1 September 2026 — 27,294 subscribers2 September 2026 — 27,277 subscribers3 September 2026 — 27,271 subscribers5 September 2026 — 27,285 subscribers8 September 2026 — 27,249 subscribers11 September 2026 — 27,213 subscribers13 September 2026 — 27,148 subscribers14 September 2026 — 27,137 subscribers16 September 2026 — 27,132 subscribers18 September 2026 — 27,058 subscribers25 September 2026 — 27,016 subscribers9 August 202625 September 2026
30 measurements spanning 47 days, net +339. 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 26,575–27,457 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
25 Sept 2026, 17:2027,016-42
18 Sept 2026, 23:5527,058-74
16 Sept 2026, 13:1827,132-5
14 Sept 2026, 17:2027,137-11
13 Sept 2026, 03:1727,148-65
11 Sept 2026, 05:2127,213-36
8 Sept 2026, 07:5927,249-36
5 Sept 2026, 01:0027,285+14
3 Sept 2026, 10:2827,271-6
2 Sept 2026, 03:1127,277-17
1 Sept 2026, 03:4827,294-21
31 Aug 2026, 00:2827,315-14
29 Aug 2026, 23:1427,329-15
29 Aug 2026, 00:3427,344-11
28 Aug 2026, 02:2227,355+23
27 Aug 2026, 01:3227,332+68
26 Aug 2026, 01:0227,264+17
23 Aug 2026, 20:2527,247+46
22 Aug 2026, 03:2727,201-5
20 Aug 2026, 20:0327,206first reading

Engagement

30 posts held, back to 5 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 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.22%
avg views ÷ 27,016 subscribers
Avg views / post
870
20 posts measured
Reaction rate
0.125%
reactions ÷ views · ER floor
Posts in window
20
of 30 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 9 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 October 2026
Posts held30 (5 August 2026 – 2 October 2026)
Views total17,403
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 03:45 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
126
Videos
14
Links
29

Lifetime counters from Telegram’s own channel header, read 3 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 43s
Average length
10s

Measured directly from 10 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

25 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 96.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2496.0%
👍14.00%

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 17 of the 30 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 5 August 2026 to 2 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

2 Oct 2026, 11:17 UTC394 views0 reactionsread 3 October 2026
Photo

🔥✒️🧡🧡💚🖤🔥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💋 🍒😀😀😀😀🍒 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 寮步💥95无套口爆会所。 萝莉甜妹,御姐 清纯 10位出勤 现场挑选。 营业时间晚上7点到凌晨5点。 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ ⭐半裸499 ➡️全裸499💰 💎💎💎💎💎💎💎💎💎💎 💘预约:依依客服🦋 😀👉:2091754086 😀👉:17666228401 😀👉:XP9199…

30 Sept 2026, 08:15 UTC≈1,070 views1 reactionsread 3 October 2026
Photo

📍地区:#大朗 😀艺名:朵妮 🏷课费: 600/p ✈️联系老师: @ydhpxz 🤖双向: @dgydhxbot 😀频道:https://t.me/dgyihx 🏅 #98课室@dongguancpdd 联系时发“同城”给老师 自助模版:@dgbgtgbot 一份报告对应一朵花花 📒 点击返回「大朗」选妃目录 📒 点击返回主目录

❤1

29 Sept 2026, 14:16 UTC≈1,290 viewsread 3 October 2026
Photo

📍地区:#常平 😀艺名:上官晓晓 常平新茶 🏷课费: 600/p ✈️联系老师: @sgxx6688 🤖双向:@qingqingzs_bot 😀频道 https://t.me/sgjy6688 🏅 #98课室@dongguancpdd 联系时发“同城”给老师 自助模版:@dgbgtgbot 一份报告对应一朵花花 【同城目录No4.】

29 Sept 2026, 05:30 UTC≈1,010 viewsread 2 October 2026
Photo

📍地区:#厚街 😀艺名:柒柒 🏷课费: 600/p ✈️联系老师: @chi_Chihig 🤖双向:@Sfghjjj_bot 😀频道 https://t.me/app_reciat 🏅 #98课室@dongguancpdd 联系时发“同城”给老师 自助模版:@dgbgtgbot 一份报告对应一朵花花 🌸好评1 【同城目录No3.】

28 Sept 2026, 14:58 UTC599 viewsread 30 September 2026

🎟️ 抽奖标题:10月国庆同城群活跃排名抽奖 抽奖编号:RL179060725248 🎁 奖品内容: - 第1名奖励200元现金 - 第2名奖励150元现金 - 第3名奖励100元现金 🪧 抽奖说明:奖励2026-09-28 00:00至2026-10-28 00:00发言数量前5名用户(发言数量需要达到1188) ​🕒​ 发言统计开始时间:2026-09-28 00:00 ​🕒​ 开奖时间:2026-10-28 00:00

28 Sept 2026, 14:14 UTC626 views0 reactionsread 30 September 2026
Photo

📍地区:#厚街 厚街水多多 😀艺名:柚柚 🏷课费: 600/p ✈️联系老师: @hj_yydd 🤖双向:@bbayyddbot 😀频道 https://t.me/bbayydd 🏅 #98课室@dongguancpdd 联系时发“同城”给老师 自助模版:@dgbgtgbot 一份报告对应一朵花花 🌸好评1🌸好评2🌸好评3 🌸好评4🌸好评5🌸好评6 🌸好评7🌸好评8🌸好评9 🌸好评10🌸好评11🌸好评12 🌸好评 13🌸好评14🌸好评15 🌸好评16🌸好评17🌸好评18 🌸好评19 【同城目录No3.】

28 Sept 2026, 14:01 UTC455 viewsread 29 September 2026
Photo

📍地区:#常平 😀艺名:红颜 🏷课费: 500/p ✈️联系老师: @xuexue994461 🤖双向:@hongyanmmbot 😀频道1 https://t.me/wdshipinpindao 😀频道2 https://t.me/hongyanlaoshi 🚗导航坐标:金地名京 🏅 #98课室@dongguancpdd 联系时发“同城”给老师 自助模版:@dgbgtgbot 一份报告对应一朵花花 🌸好评1🌸好评2🌸好评3 🌸好评4 【同城目录No4.】

28 Sept 2026, 14:01 UTC466 viewsread 29 September 2026
Photo

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28 Sept 2026, 10:41 UTC401 viewsread 29 September 2026
Photo

📍地区:#常平 😀艺名:芒果 🏷课费: 600/p ✈️联系老师: @bdgb1 🤖双向:@zssxc11_bot 😀频道:https://t.me/TTnn555 🏅 #98课室@dongguancpdd 联系时发“同城”给老师 自助模版:@dgbgtgbot 一份报告对应一朵花花 【同城目录No4.】

28 Sept 2026, 07:50 UTC133 viewsread 28 September 2026
Photo

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24 Sept 2026, 02:12 UTC≈1,260 views1 reactionsread 28 September 2026
Photo

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❤1

Showing the 12 most recent of 30 posts we hold for @dongguancpdd. 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 3 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.

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

“东莞资源公开榜” (@dongguancpdd), 27,016 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/dongguancpdd.

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.