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Channel

东莞大学【必刷】榜

@dsdssdfd

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

20,324subscribers

-166 since we began measuring on 20 August 2026

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

Register entry

Telegram ID-1003669505313
TypeChannel
Username@dsdssdfd
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 August 2026
Last confirmed live7 September 2026
Measurements held16
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/dsdssdfd

Growth

19,72021,57920,649.520 August 2026 — 20,490 subscribers20 August 2026 — 20,490 subscribers22 August 2026 — 20,350 subscribers23 August 2026 — 19,720 subscribers25 August 2026 — 20,516 subscribers26 August 2026 — 20,325 subscribers27 August 2026 — 20,159 subscribers28 August 2026 — 20,057 subscribers29 August 2026 — 19,868 subscribers30 August 2026 — 21,579 subscribers30 August 2026 — 21,439 subscribers31 August 2026 — 21,368 subscribers1 September 2026 — 21,153 subscribers2 September 2026 — 20,944 subscribers4 September 2026 — 20,728 subscribers7 September 2026 — 20,324 subscribers20,32420 August 20267 September 2026
16 measurements spanning 17 days, net -166. 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 19,441–21,858 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 02:4120,324-404
4 Sept 2026, 09:1520,728-216
2 Sept 2026, 18:2320,944-209
1 Sept 2026, 18:2321,153-215
31 Aug 2026, 21:4321,368-71
30 Aug 2026, 22:2221,439-140
30 Aug 2026, 00:5321,579+1,711
29 Aug 2026, 00:5919,868-189
28 Aug 2026, 00:3820,057-102
27 Aug 2026, 04:0320,159-166
26 Aug 2026, 02:0420,325-191
25 Aug 2026, 02:5620,516+796
23 Aug 2026, 19:4419,720-630
22 Aug 2026, 02:4820,350-140
20 Aug 2026, 22:1220,490no change
20 Aug 2026, 18:4520,490first reading

Engagement

14 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 28 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.0%
avg views ÷ 20,324 subscribers
Avg views / post
3,870
7 posts measured
Reaction rate
0.02%
reactions ÷ views · ER floor
Posts in window
7
of 14 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 2 of 7 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 3 September 2026
Posts held14 (20 July 20263 September 2026)
Views total27,086
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 17:36 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

Video runtime
9s
Average length
5s

Measured directly from 2 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

6 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
583.3%
🤔116.7%

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 6 of the 14 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 20 July 2026 to 3 September 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

3 Sept 2026, 06:16 UTC246 viewsread 3 September 2026
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🟡昵称: #小月月 🕐地区:#南城 🤖双向: @Taiqiujzxyy_bot 🚀电报:@xiaoyymmya 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

28 Aug 2026, 16:38 UTC20 viewsread 28 August 2026
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26 Aug 2026, 07:38 UTC≈3,280 viewsread 3 September 2026
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🟡昵称: 新人安安 幕南 🕐地区:#南城 🤖双向:@ananmuna_bot 🚀电报:@hjjjhhjjbj 🔔频道: 点击预览👀 🔴水费:📤课表查看图📤 🫦【标签】已验证 💖P工兵卷剩余 待发放 🔰#课外车费随意不超过100 🔰#点击下方查看详情⬇️

24 Aug 2026, 11:14 UTC≈4,220 views1 reactionsread 3 September 2026
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🟡昵称: #小乔 🕐地区: #南城 🤖双向:@xiqiao18_bot 🚀电报:@xiqiao18 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

1

21 Aug 2026, 04:55 UTC≈5,590 views1 reactionsread 3 September 2026
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🟡昵称: 叶小姐 按摩养生SPA 🕐地区:#东莞东城 🤖双向:QQ3670237182 🚀电报:@yangchig 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️

🤔1

21 Aug 2026, 04:13 UTC≈5,670 viewsread 3 September 2026
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🟡昵称: 甜甜 🕐地区:#大朗 🤖双向: @dl95btbot 🚀电报: @kiss2583699 🔔频道: 点击预览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️

13 Aug 2026, 07:05 UTC≈8,060 viewsread 3 September 2026
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6 Aug 2026, 11:20 UTC≈9,970 views1 reactionsread 2 September 2026
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1

5 Aug 2026, 08:02 UTC≈10,200 viewsread 2 September 2026
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🟡昵称: 叶小姐 按摩养生SPA 🕐地区:#东莞东城 🤖双向:QQ3670237182 🚀电报:@yangchig 🔔频道: 点击预览👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️

28 Jul 2026, 05:43 UTC≈10,300 viewsread 25 August 2026
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26 Jul 2026, 15:19 UTC≈11,000 views1 reactionsread 25 August 2026
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1

25 Jul 2026, 07:13 UTC≈10,900 viewsread 24 August 2026
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👼【花名】新人安安 幕南 ⏳【课室】#南城 💴【双向】 @ananmuna_bot ✈️【联系】 @hjjjhhjjbj 💖【频道】https://t.me/Jjkkhhhkjhh 🫦【标签】已验证 💖P工兵卷剩余 待发放 【评论区必看 】 ⬇️⬇️⬇️

Showing the 12 most recent of 14 posts we hold for @dsdssdfd. 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

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

“东莞大学【必刷】榜” (@dsdssdfd), 20,324 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/dsdssdfd.

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.