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Channel

短剧视频|流量短剧|热门短剧

@Duanju9867

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

1,504subscribers

-223 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003163465927
TypeChannel
Username@Duanju9867
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/Duanju9867

Growth

1,5041,7271,615.57 August 2026 — 1,727 subscribers7 August 2026 — 1,727 subscribers8 August 2026 — 1,726 subscribers12 August 2026 — 1,699 subscribers14 August 2026 — 1,689 subscribers17 August 2026 — 1,649 subscribers21 August 2026 — 1,625 subscribers24 August 2026 — 1,575 subscribers27 August 2026 — 1,558 subscribers30 August 2026 — 1,504 subscribers7 August 202630 August 2026
10 measurements spanning 23 days, net -223. 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 1,471–1,760 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 14:561,504-54
27 Aug 2026, 17:031,558-17
24 Aug 2026, 21:161,575-50
21 Aug 2026, 04:551,625-24
17 Aug 2026, 18:341,649-40
14 Aug 2026, 23:481,689-10
12 Aug 2026, 01:321,699-27
8 Aug 2026, 15:081,726-1
7 Aug 2026, 21:011,727no change
7 Aug 2026, 17:511,727first reading

Engagement

5 posts held, back to 19 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 22 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
28m 53s
Average length
9m 38s

Measured directly from 3 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 5 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 19 May 2026 to 22 May 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

22 May 2026, 23:00 UTC≈1,200 views1 reactionsread 7 August 2026
Photo

🤙美加墨世界杯狂欢盛宴正式开启 🫸开赛时间:🥶月😋😛日 凌晨3:00 四年一度的足球巅峰盛事即将点燃全球热情,激情、荣耀与奇迹汇聚一堂!在这场属于全世界球迷的狂欢中,我们诚邀您一同加入,共享精彩时刻。 😞🙂‍↔️😆😕重磅福利来袭 🤭分红保底35%,稳定收益更安心 🤭多重会员专属VIP优惠彩金,尊享优质服务 🤭专业团队、诚信服务、安全稳定、高效出款 🤭体育大户首选平台找我 🫸一起见证传奇,畅享赛事激情 无论你是资深球迷,还是热爱竞技氛围的朋友,这里都将为你打造沉浸式的世界杯体验。 🤌即刻咨询 ,抢先预留名额 专业体育平台!盘口赛事最高赔率,玩法内容最多,专属通道现已开启!其他更多丰富优惠与待遇详情。 直接联系汉哥本人

1

21 May 2026, 07:03 UTC986 views0 reactionsread 7 August 2026
Video

4️⃣1️⃣🔤结局8️⃣0️⃣集 #双穿开局面包换女仆 #都市 #双穿 #短剧网剧 这里可以选择❤️动漫 🔞精选福利射 ❤️短剧 ✔️新聞挖不停

20 May 2026, 07:30 UTC856 viewsread 7 August 2026
Video

1️⃣🔤4️⃣0️⃣集 #双穿开局面包换女仆 #都市 #双穿 #短剧网剧 这里可以选择❤️动漫 🔞精选福利射 ❤️短剧 ✔️新聞挖不停

20 May 2026, 07:24 UTC719 viewsread 7 August 2026
Photo

🍿剧名:双穿:开局面包换女仆 🍿集数:80 🍿简介: 高考后的林晨意外觉醒双穿系统,能穿梭都市与玄幻世界。他用面包换得玄幻世界丫鬟杨秀,携现代热武器闯荡玄幻界,还将玄幻界的野山参、翡翠原石等带回都市售卖暴富。 #双穿开局面包换女仆 #都市 #双穿 #短剧网剧 这里可以选择❤️动漫 🔞精选福利射 ❤️短剧 ✔️新聞挖不停

19 May 2026, 12:39 UTC577 viewsread 7 August 2026
Video

4️⃣1️⃣🔤结局8️⃣0️⃣集 #手滑后错把孕检单发了协议老公 #爱情 #短剧网剧 这里可以选择❤️动漫 🔞精选福利射 ❤️短剧 ✔️新聞挖不停

Showing the 5 most recent of 5 posts we hold for @Duanju9867. 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.

Citation-graph rank

Citation-graph rank — 72,202 of 1,628,524entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“短剧视频|流量短剧|热门短剧” (@Duanju9867), 1,504 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/Duanju9867.

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.