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Channel

新短剧频道|擦边短剧(原短剧频道)

@NewDuanJu

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

4,156subscribers

-33 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002230234090
TypeChannel
Username@NewDuanJu
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/NewDuanJu

Growth

4,1564,1894,172.57 August 2026 — 4,189 subscribers7 August 2026 — 4,189 subscribers11 August 2026 — 4,184 subscribers14 August 2026 — 4,180 subscribers17 August 2026 — 4,170 subscribers20 August 2026 — 4,167 subscribers24 August 2026 — 4,163 subscribers27 August 2026 — 4,156 subscribers7 August 202627 August 2026
8 measurements spanning 20 days, net -33. 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 4,151–4,194 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 09:254,156-7
24 Aug 2026, 03:184,163-4
20 Aug 2026, 20:554,167-3
17 Aug 2026, 10:184,170-10
14 Aug 2026, 02:374,180-4
11 Aug 2026, 01:484,184-5
7 Aug 2026, 17:024,189no change
7 Aug 2026, 16:584,189first reading

Engagement

19 posts held, back to 2 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.2%
avg views ÷ 4,156 subscribers
Avg views / post
880
1 post measured
Reaction rate
0.341%
reactions ÷ views · ER floor
Posts in window
1
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 July 2026
Posts held19 (2 April 202629 July 2026)
Views total880
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:14 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
7h 16m
Average length
54m 36s

Measured directly from 8 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

115 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 74.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8674.8%
🥰1210.4%
👍97.83%
🔥43.48%
🏆32.61%
😁10.87%

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 18 of the 19 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 2 April 2026 to 29 July 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

29 Jul 2026, 02:17 UTC880 views3 reactionsread 8 August 2026
Video

最新擦边短剧:误入爱河&丈夫的嗜好&遥远的注视&爱河暗涌&被窥视的温柔背叛&误入爱河&错入情网&禁忌渡口(完整版)于添 免费观看链接:https://t.me/duanjupindaoBot?start=getFile_xMfLVcD2HP9z64

3

17 Jul 2026, 10:57 UTC≈1,760 views7 reactionsread 8 August 2026
Photo

最新擦边短剧:共享奶牛&温暖的港湾&夜深人静&姐姐的奖励&反差女教授&牛奶特派员&堕落物语(完整版)小胡静&王正洁&张一湉 免费观看链接:https://t.me/duanjupindaoBot?start=getFile_hpRSGZKA3eIB4Z

5👍1🥰1

9 Jul 2026, 15:16 UTC≈2,290 views6 reactionsread 8 August 2026
Photo

最新擦边短剧:变态公公&完成主人的任务笼中雀&豪门梦碎&榜一大哥的游戏&色情直播&公公的礼物(未删减版)(未删减版) 大尺度 防止频道封禁网盘链接放机器人 @ygzy1Bot

6

8 Jul 2026, 06:58 UTC≈2,140 views11 reactionsread 8 August 2026
Photo

最新擦边短剧:后妈一家三口&寂寞难耐的妹妹&妹妹的第一次&欲望的果实&姐妹同心&反差姐妹花&黄家三母女(未删减版)舒聆 最新擦边短剧:金牌补课师&逆袭课堂&学姐借根&补课日记&身下人&补习老师&学妹的第一课&课后有约(未删减版) 陈梓晴 最新擦边短剧:最新擦边短剧:外卖小哥的特殊服务&反差婊的堕落之路&送餐到床&贴身男奴&直播绿妻&完美交付(未删减版) 陈梓晴&王安忆&于添 防止频道封禁网盘链接放机器人 @ygzy1Bot

10👍1

28 Jun 2026, 15:42 UTC≈2,490 views9 reactionsread 8 August 2026
Photo

新短剧频道:继承规则&家族游戏&未来之星&豪门棋局&亲子谜团 (未删减版)小芭比&王安忆 #擦边短剧 观看链接: https://t.me/duanjupindaoBot?start=getFile_SoZ7sCbjSOJr9W 新短剧频道 @NewDuanJu 👉全网资源搜群👈

7👍2

6 Jun 2026, 15:25 UTC≈3,550 views9 reactionsread 8 August 2026
Photo

新短剧频道:欲望满屋&迷欲之家&家丑不可外扬&绿帽癖&白叔爸爸&深宅迷情&乱欲之家 (未删减版)陈梓晴最新乱伦作品 #擦边短剧 观看链接: https://t.me/duanjupindaoBot?start=getFile_OgTPCV724SUuBX 新短剧频道 @NewDuanJu 👉全网资源搜群👈

7🥰2

31 May 2026, 14:45 UTC≈3,520 views7 reactionsread 8 August 2026
Video

新短剧频道:瑜火撩心&柔香入骨&迷情画卷(未删减版) #擦边短剧 观看链接: https://t.me/duanjupindaoBot?start=getFile_re4ltHA0LJyIlx 新短剧频道 @NewDuanJu 👉全网资源搜群👈

6😁1

28 May 2026, 03:49 UTC≈3,420 views8 reactionsread 8 August 2026
Video

新短剧频道:深夜催乳师&压抑的嫂子&欲海情波&交换婚姻&她的秘密奶期(未删减版)Waves of Desire #擦边短剧 链接: https://t.me/duanjupindaoBot?start=getFile_4O4vm124sQ41gt 新短剧频道 @NewDuanJu 👉全网资源搜群👈

👍53

22 May 2026, 15:54 UTC≈3,430 views9 reactionsread 8 August 2026
Video

新短剧频道:伪装的爱&疯狂试爱&情牵梦绕&危险同居&红唇温差&夜海沉沦&魂牵旧梦&深情蚀骨&秘爱成瘾&她影缠心(完整版)擦边短剧 链接: https://t.me/duanjupindaoBot?start=getFile_4O4vm124sQ41gt 新短剧频道 @NewDuanJu 👉全网资源搜群👈

6🏆3

18 May 2026, 06:17 UTC≈3,370 views4 reactionsread 8 August 2026
Video

新短剧频道:情深相爱时(完整版)刘宇航&叶鑫鑫 链接: https://t.me/WPpindao/307 新短剧频道 @NewDuanJu 👉全网资源搜群👈

4

14 May 2026, 15:36 UTC≈3,320 views3 reactionsread 8 August 2026
Video

新短剧频道:今天裴总和月亮谈恋爱了吗(合集)张翅&李柯以 新短剧频道 @NewDuanJu 👉全网资源搜群👈

3

21 Apr 2026, 16:13 UTC≈4,600 views8 reactionsread 8 August 2026

首部欧美擦边短剧 制作人:张星颖 @zhangxingying 观看频道 @cabianpindao 支持张星颖请点击我⬇️ t.me/xbso?start=a_6406069278

8

Showing the 12 most recent of 19 posts we hold for @NewDuanJu. 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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“新短剧频道|擦边短剧(原短剧频道)” (@NewDuanJu), 4,156 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/NewDuanJu.

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.