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Channel

三好学生(学习)

@djdjdndndn12

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

20,102subscribers

+978 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002457141715
TypeChannel
Username@djdjdndndn12
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/djdjdndndn12

Topic

Education — 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 95% 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

19,12420,10219,6137 August 2026 — 19,124 subscribers7 August 2026 — 19,124 subscribers8 August 2026 — 19,134 subscribers9 August 2026 — 19,145 subscribers10 August 2026 — 19,171 subscribers11 August 2026 — 19,176 subscribers12 August 2026 — 19,193 subscribers13 August 2026 — 19,195 subscribers14 August 2026 — 19,230 subscribers16 August 2026 — 19,263 subscribers17 August 2026 — 19,313 subscribers18 August 2026 — 19,334 subscribers19 August 2026 — 19,363 subscribers20 August 2026 — 19,392 subscribers22 August 2026 — 19,432 subscribers23 August 2026 — 19,459 subscribers25 August 2026 — 19,466 subscribers26 August 2026 — 19,506 subscribers27 August 2026 — 19,525 subscribers28 August 2026 — 19,551 subscribers28 August 2026 — 19,567 subscribers30 August 2026 — 19,586 subscribers30 August 2026 — 19,604 subscribers31 August 2026 — 19,644 subscribers1 September 2026 — 19,676 subscribers3 September 2026 — 19,708 subscribers4 September 2026 — 19,779 subscribers7 September 2026 — 19,870 subscribers10 September 2026 — 19,950 subscribers12 September 2026 — 19,963 subscribers14 September 2026 — 20,025 subscribers15 September 2026 — 20,049 subscribers18 September 2026 — 20,102 subscribers7 August 202618 September 2026
33 measurements spanning 41 days, net +978. 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 18,977–20,249 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 02:3720,102+53
15 Sept 2026, 23:5720,049+24
14 Sept 2026, 09:1620,025+62
12 Sept 2026, 18:4119,963+13
10 Sept 2026, 21:3819,950+80
7 Sept 2026, 21:4119,870+91
4 Sept 2026, 18:5819,779+71
3 Sept 2026, 05:5419,708+32
1 Sept 2026, 22:2619,676+32
31 Aug 2026, 20:3619,644+40
30 Aug 2026, 23:0419,604+18
30 Aug 2026, 01:2419,586+19
28 Aug 2026, 23:2519,567+16
28 Aug 2026, 00:5619,551+26
27 Aug 2026, 01:3419,525+19
26 Aug 2026, 02:4219,506+40
25 Aug 2026, 00:4319,466+7
23 Aug 2026, 15:5519,459+27
22 Aug 2026, 03:3619,432+40
20 Aug 2026, 18:1419,392first reading

Engagement

302 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.237%
avg views ÷ 20,102 subscribers
Avg views / post
47.6
96 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
96
of 302 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 96 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 held302 (7 August 2026 – 3 September 2026)
Views total4,574
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:03 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.

Reaction mix

11 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 63.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍763.6%
❤436.4%

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 13 of the 302 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 302 most recent posts we hold, published 7 August 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, 00:55 UTC9 viewsread 3 September 2026
Photo

金浩森摄影学院零基础玩转清新人像 [#零基础人像 #清新摄影技巧 #手机拍大片] 零基础也能轻松上手,从构图到用光,教你拍出清新自然的人像大片,无需专业设备,手机也能拍出电影感氛围,让你快速掌握人像摄影精髓。 💾 获取资源请点击:👉 点我获取金浩森摄影学院零基础玩转清新人像👈

3 Sept 2026, 00:39 UTC15 viewsread 3 September 2026
Photo

贾树森大神教你成为手机摄影高手 [#手机摄影 #摄影技巧 #贾树森] 贾树森大神亲授手机摄影秘籍,从构图、用光到后期调色,手把手教你拍出专业级大片,让普通人也能轻松掌握手机摄影技巧,记录生活美好瞬间。 💾 获取资源请点击:👉 点我获取贾树森大神教你成为手机摄影高手👈

3 Sept 2026, 00:26 UTC22 viewsread 3 September 2026
Photo

大师级的摄影思维:搞定相机手机无人机 [#摄影思维 #设备全攻略 #影像创作] 突破设备限制,从相机到手机无人机,掌握大师级构图与光影思维,轻松拍出专业级大片,让每一张照片都充满故事感与艺术张力。 💾 获取资源请点击:👉 点我获取大师级的摄影思维:搞定相机手机无人机👈

3 Sept 2026, 00:07 UTC23 viewsread 3 September 2026
Photo

伦勃朗风格肖像布光摄影教程 [#伦勃朗布光 #人像摄影技巧 #光影艺术] 揭秘伦勃朗光法精髓,从单灯布光到多灯层次,详解光影塑造面部立体感的秘密,助你用光线赋予肖像灵魂,拍出经典隽永的传世之作。 💾 获取资源请点击:👉 点我获取伦勃朗风格肖像布光摄影教程👈

2 Sept 2026, 23:53 UTC25 viewsread 3 September 2026
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中艺网校零基础学摄影+航拍 [#零基础摄影 #航拍技巧 #全能摄影教程] 从摄影基础到航拍进阶,系统化课程带你轻松掌握构图、用光、无人机飞行技巧与后期处理,零基础也能快速成长为全能摄影航拍手,记录生活与世界的独特视角。 💾 获取资源请点击:👉 点我获取中艺网校零基础学摄影+航拍👈

2 Sept 2026, 02:18 UTC91 viewsread 2 September 2026

防误踢,保更新,只需一步:加入资源群 https://t.me/+XWPaj5srw6FhZmE1 。衷心感谢各位的支持!

2 Sept 2026, 02:02 UTC90 viewsread 2 September 2026
Photo

宇宙的规则:决定论or随机论大道至简的宇宙规则 脑洞大开的自然规律[pdf] [#宇宙法则 #决定论与随机论 #科学哲学] 颠覆传统认知的宇宙规则探秘,从决定论到随机论的深度剖析,用大道至简的哲学视角解读自然规律,开启一场脑洞大开的科学想象之旅,揭示宇宙运行的终极奥秘。 💾 获取资源请点击:👉 点我获取宇宙的规则:决定论or随机论大道至简的宇宙规则 脑洞大开的自然规律[pdf]👈

2 Sept 2026, 01:50 UTC78 viewsread 2 September 2026
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陶思璇 40部女神书单232.27MB [#女性成长 #智慧书单 #自我提升] 精选40部女神私藏书单,涵盖成长、情感与智慧,232.27MB海量内容助你提升自我,遇见更好的自己,每本都值得细细品味。 💾 获取资源请点击:👉 点我获取陶思璇 40部女神书单232.27MB👈

2 Sept 2026, 01:34 UTC71 viewsread 2 September 2026
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经济社会学1.56GB [#经济社会学 #跨学科研究 #社会逻辑] 深入剖析经济社会现象,揭示经济行为背后的社会逻辑,跨学科视角解读市场、制度与文化互动,兼具理论深度与现实洞察力。 💾 获取资源请点击:👉 点我获取经济社会学1.56GB👈

2 Sept 2026, 01:18 UTC70 viewsread 2 September 2026
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单田芳评书集合25部播讲:单田芳 [#单田芳评书 #经典评书 #历史演义] 单田芳先生亲口播讲25部经典评书,嗓音独特,故事跌宕起伏,将历史风云与市井百态演绎得淋漓尽致,听一次就上瘾,堪称评书爱好者的听觉盛宴。 💾 获取资源请点击:👉 点我获取单田芳评书集合25部播讲:单田芳👈

2 Sept 2026, 01:08 UTC59 viewsread 2 September 2026
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冯唐成事心法有声读物 [#职场智慧 #成事法则 #冯唐心法] 冯唐以30年管理实战与古典智慧,拆解成事心法,从识人用人到高效决策,助你在职场与生活中少走弯路,轻松成事。 💾 获取资源请点击:👉 点我获取冯唐成事心法有声读物👈

2 Sept 2026, 00:53 UTC64 viewsread 2 September 2026

黄静洁优等生养成课 [#学习方法 #高效学习 #学霸养成 融合科学方法与实战经验,揭秘优等生的学习力、专注力与时间管理秘诀,帮孩子高效学习、轻松提分,培养受益终身的学习习惯与自主能力。 💾 获取资源请点击:👉 点我获取黄静洁优等生养成课👈

Showing the 12 most recent of 302 posts we hold for @djdjdndndn12. 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

Names

Channels on the register whose handles appear in this channel's posts.

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

“三好学生(学习)” (@djdjdndndn12), 20,102 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/djdjdndndn12.

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.