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Channel
短剧视频 抖音热门AI短剧
@duanjutianju
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
21,485subscribers
+575 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 | -1001603846816 |
|---|---|
| Type | Channel |
| Username | @duanjutianju |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/duanjutianju |
Topic
Gambling & betting — 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 99% 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 |
|---|---|---|
| 18 Sept 2026, 03:38 | 21,485 | -3 |
| 15 Sept 2026, 19:55 | 21,488 | +9 |
| 14 Sept 2026, 00:59 | 21,479 | +7 |
| 12 Sept 2026, 09:16 | 21,472 | +495 |
| 10 Sept 2026, 05:18 | 20,977 | -265 |
| 6 Sept 2026, 22:18 | 21,242 | -12 |
| 4 Sept 2026, 12:17 | 21,254 | -4 |
| 3 Sept 2026, 01:15 | 21,258 | -6 |
| 1 Sept 2026, 21:14 | 21,264 | +2 |
| 1 Sept 2026, 00:26 | 21,262 | -3 |
| 30 Aug 2026, 23:25 | 21,265 | +13 |
| 29 Aug 2026, 22:14 | 21,252 | +2 |
| 28 Aug 2026, 22:33 | 21,250 | +3 |
| 27 Aug 2026, 21:36 | 21,247 | +1 |
| 27 Aug 2026, 00:24 | 21,246 | +7 |
| 26 Aug 2026, 03:24 | 21,239 | +4 |
| 25 Aug 2026, 02:34 | 21,235 | +8 |
| 23 Aug 2026, 18:18 | 21,227 | -2 |
| 22 Aug 2026, 06:36 | 21,229 | -26 |
| 20 Aug 2026, 21:46 | 21,255 | first reading |
Engagement
174 posts held, back to 4 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 67 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.70%
- avg views ÷ 21,485 subscribers
- Avg views / post
- 579
- 57 posts measured
- Reaction rate
- 0.185%
- reactions ÷ views · ER floor
- Posts in window
- 57
- of 174 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 5 of 57 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 174 (4 August 2026 – 3 September 2026) |
| Views total | 33,007 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 16:54 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
- 20h 41m
- Average length
- 8m 27s
Measured directly from 147 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
24 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18 | 75.0% | |
| 👍 | 5 | 20.8% | |
| 🥰 | 1 | 4.17% |
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 21 of the 174 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 174 most recent posts we hold, published 4 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
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第7集:望山行·朱雀压胜钱 #Ai #ai原创短剧 #奇闻异事 #悬疑 #探险 那朱雀昂首展翼,冠羽高耸,钩喙锐利,双翼舒展于方孔两侧,尾羽似火,分叉上扬。爪下似踏祥云,翎羽层层分明…
第8集:望山行·无量山之行 #Ai #ai原创短剧 #奇闻异事 #悬疑 #探险 照片是临行前黄皮提议去拍的。他说这趟去云南,凶险万分,万一有个三长两短,好歹还能留下张照片。谁曾想,却一语成谶…
尝试新风格2008年非主流大片《我的妹妹不可爱》 #千禧年 #文艺复兴 #未来导演扶持计划 #抖音AI创作大赛 #ai创作浪潮计划
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第6集:望山行·渠帅阿罗古 #Ai #ai原创短剧 #奇闻异事 #悬疑 #探险 山里有种蚂蚁,被菌类寄生后,会不受控制地爬往高处,然后静静死去,直到新的宿主出现…
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第3集:望山行·鬼眼陈。#Ai #ai原创短剧 #奇闻异事 #悬疑 #探险 惊风动地起,我自望山行。 这些话像一根冰冷的针,扎进了我心里。 我越听越觉得后背发寒,眉头不自觉地皱紧,连呼吸都变得急促起来。 我不敢相信,也不愿意相信。 都到八十年代了,火箭都上天了,广播里天天讲科学,怎么还会有什么祖祖辈辈传下来的诅咒这种荒唐的说法?
第4集:望山行·山鬼岩岳 #Ai #ai原创短剧 #奇闻异事 #悬疑 #探险 惊风动地起,我自望山行。 老板娘见劝不住我们。被我们再三追问,无奈的说,真要找个敢进那片林子,又能活着出来的人,恐怕只有山鬼岩岳了…
Showing the 12 most recent of 174 posts we hold for @duanjutianju. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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.
“短剧视频 抖音热门AI短剧” (@duanjutianju), 21,485 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/duanjutianju.
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.