Telegram RegisterThe public register of Telegram

Channel

115影视资源分享频道

@QukanMovie

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

28,676subscribers

+394 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002245898899
TypeChannel
Username@QukanMovie
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/QukanMovie

Growth

28,28228,67628,4796 August 2026 — 28,282 subscribers6 August 2026 — 28,294 subscribers8 August 2026 — 28,313 subscribers9 August 2026 — 28,343 subscribers10 August 2026 — 28,399 subscribers11 August 2026 — 28,464 subscribers12 August 2026 — 28,532 subscribers13 August 2026 — 28,595 subscribers14 August 2026 — 28,676 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +394. 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 28,223–28,735 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 10:1828,676+81
13 Aug 2026, 03:0528,595+63
12 Aug 2026, 00:3228,532+68
11 Aug 2026, 00:3528,464+65
10 Aug 2026, 00:3128,399+56
9 Aug 2026, 00:5428,343+30
8 Aug 2026, 00:5528,313+19
6 Aug 2026, 21:4128,294+12
6 Aug 2026, 04:0728,282first reading

Engagement

136 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.52%
avg views ÷ 28,676 subscribers
Avg views / post
722
136 posts measured
Reaction rate
0.11%
reactions ÷ views · ER floor
Posts in window
136
of 136 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 25 of 136 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 14 August 2026
Posts held136 (4 August 202614 August 2026)
Views total98,160
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 03:04 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

Photos
9,640
Videos
4
Links
9,780

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

22 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 77.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1777.3%
👍29.09%
🤷29.09%
🤩14.55%

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 25 of the 136 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 136 most recent posts we hold, published 4 August 2026 to 14 August 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

14 Aug 2026, 15:27 UTC346 viewsread 15 August 2026
Photo

推荐一款最近在用的性价比比较高、稳定性强的✈️场:Neko Cloud-连接世界 🖥注册地址:https://nekocloud.host/#/register?code=WsnZafoi 全球线路随心选 隐私守护喵~ 🇭🇰香港 AWS 优化线路中转 🇭🇰香港 Hytron & Akamai 优质落地 流媒体 AI平台支持📦 不限设备不限速 无倍率套路🤨 VLESS高速协议 TLS支持❌

14 Aug 2026, 15:05 UTC632 viewsread 15 August 2026
Photo

📺 花开锦绣 (2026) S01E14 ✨4K WEB-DL 🔶HDR10 AAC 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 丁禹兮, 邓恩熙, 范诗然, 董子凡 📖 简介: 豪爽重情的私盐贩子赵凌虽出身草莽,却心怀壮志,他结识了遭人诬陷私通的世家名媛小姐傅庭芸,被迫一起逃亡,二人历经家族与朝廷的重重考验,与命运抗争,终成传奇良缘。 💾 大小: 876.79 MB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

14 Aug 2026, 14:58 UTC531 views1 reactionsread 15 August 2026
Photo

📺 花开锦绣 (2026) S01E13 ✨4K WEB-DL 🔶HDR10 ATMOS 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 丁禹兮, 邓恩熙, 范诗然, 董子凡 📖 简介: 豪爽重情的私盐贩子赵凌虽出身草莽,却心怀壮志,他结识了遭人诬陷私通的世家名媛小姐傅庭芸,被迫一起逃亡,二人历经家族与朝廷的重重考验,与命运抗争,终成传奇良缘。 💾 大小: 4.69 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

1

14 Aug 2026, 14:52 UTC480 viewsread 15 August 2026
Photo

📺 重器 (2026) S01E12 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 8.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 黄景瑜, 蒋奇明, 张佳宁, 姜珮瑶, 闫佩伦 📖 简介: 以改革开放初期至1997年《刑诉法》《刑法》修订为背景,讲述陈一众、余高远、张丽慧、夏英杰等法学院毕业生在不同司法岗位上历经风雨、共同见证中国法治发展进程的故事,展现他们在时代浪潮中成长、抉择与命运交织的群像篇章。 💾 大小: 5.04 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

14 Aug 2026, 14:46 UTC465 viewsread 15 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_912917457

14 Aug 2026, 14:46 UTC535 viewsread 15 August 2026
Photo

📺 重器 (2026) S01E11 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 8.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 黄景瑜, 蒋奇明, 张佳宁, 姜珮瑶, 闫佩伦 📖 简介: 以改革开放初期至1997年《刑诉法》《刑法》修订为背景,讲述陈一众、余高远、张丽慧、夏英杰等法学院毕业生在不同司法岗位上历经风雨、共同见证中国法治发展进程的故事,展现他们在时代浪潮中成长、抉择与命运交织的群像篇章。 💾 大小: 4.96 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

13 Aug 2026, 12:40 UTC≈1,570 views1 reactionsread 15 August 2026
Photo

📺 昨夜将至 (2026) S01E18 ✨4K WEB-DL 🔶HDR10 AAC 🌟 评分: 8.0 📽 类型: 悬疑, 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 佟大为, 王佳佳, 马苏, 任重, 江疏影 📖 简介:   川渝小城老街,面馆老板韩栋(佟大为 饰)与妻子林美月(王佳佳 饰)看似安稳平淡的日常之下,各自背负着二十年无法见光的秘密。   林美月本名李荣珍,年轻时在孙家掌控的夜场谋生,长期遭受羞辱与压榨。不堪屈辱后她策划假死,改名换姓嫁给韩栋,只想彻底埋葬过去。然而,昔日姐妹玲姐(马苏 饰)手握她当年的... 💾 大小: 1.18 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

1

13 Aug 2026, 12:34 UTC≈1,320 viewsread 15 August 2026
Photo

📺 天才,女友 (2026) S01E28 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 田曦薇, 胡一天, 赖伟明, 厉嘉琪, 夏浩然 📖 简介: 天才少女林知夏性格直接、不善交际,从小没有好友。考入省一中后,她因解题比拼与性格阳光的学霸江逾白相识并成为同桌。作为社交达人的江逾白帮林知夏融入集体交到汤婷婷、段启言、沈负暄、金百慧等朋友,林知夏为表达感谢帮他补习功课,两人渐渐从竞争走向互助,最终成为最好的朋友。俩人还一同解决同学被骗、一起参加社团... 💾 大小: 3.02 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

13 Aug 2026, 12:28 UTC≈1,090 viewsread 15 August 2026
Photo

📺 天才,女友 (2026) S01E27 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 田曦薇, 胡一天, 赖伟明, 厉嘉琪, 夏浩然 📖 简介: 天才少女林知夏性格直接、不善交际,从小没有好友。考入省一中后,她因解题比拼与性格阳光的学霸江逾白相识并成为同桌。作为社交达人的江逾白帮林知夏融入集体交到汤婷婷、段启言、沈负暄、金百慧等朋友,林知夏为表达感谢帮他补习功课,两人渐渐从竞争走向互助,最终成为最好的朋友。俩人还一同解决同学被骗、一起参加社团... 💾 大小: 3.20 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

13 Aug 2026, 12:22 UTC930 viewsread 15 August 2026
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📺 天才,女友 (2026) S01E26 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 田曦薇, 胡一天, 赖伟明, 厉嘉琪, 夏浩然 📖 简介: 天才少女林知夏性格直接、不善交际,从小没有好友。考入省一中后,她因解题比拼与性格阳光的学霸江逾白相识并成为同桌。作为社交达人的江逾白帮林知夏融入集体交到汤婷婷、段启言、沈负暄、金百慧等朋友,林知夏为表达感谢帮他补习功课,两人渐渐从竞争走向互助,最终成为最好的朋友。俩人还一同解决同学被骗、一起参加社团... 💾 大小: 3.10 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

13 Aug 2026, 12:16 UTC867 viewsread 15 August 2026
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📺 天才,女友 (2026) S01E25 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 田曦薇, 胡一天, 赖伟明, 厉嘉琪, 夏浩然 📖 简介: 天才少女林知夏性格直接、不善交际,从小没有好友。考入省一中后,她因解题比拼与性格阳光的学霸江逾白相识并成为同桌。作为社交达人的江逾白帮林知夏融入集体交到汤婷婷、段启言、沈负暄、金百慧等朋友,林知夏为表达感谢帮他补习功课,两人渐渐从竞争走向互助,最终成为最好的朋友。俩人还一同解决同学被骗、一起参加社团... 💾 大小: 2.62 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

13 Aug 2026, 12:10 UTC831 viewsread 15 August 2026
Photo

📺 天才,女友 (2026) S01E24 ✨4K WEB-DL 🔶HDR10 DDP 5 1 🌟 评分: 9.0 📽 类型: 剧情 🌍 地区: China 🗣 语言: 普通话 👥 主演: 田曦薇, 胡一天, 赖伟明, 厉嘉琪, 夏浩然 📖 简介: 天才少女林知夏性格直接、不善交际,从小没有好友。考入省一中后,她因解题比拼与性格阳光的学霸江逾白相识并成为同桌。作为社交达人的江逾白帮林知夏融入集体交到汤婷婷、段启言、沈负暄、金百慧等朋友,林知夏为表达感谢帮他补习功课,两人渐渐从竞争走向互助,最终成为最好的朋友。俩人还一同解决同学被骗、一起参加社团... 💾 大小: 2.59 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友

Showing the 12 most recent of 136 posts we hold for @QukanMovie. 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 — 139,959 of 1,478,351entries 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 17 registered channels — 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.

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

“115影视资源分享频道” (@QukanMovie), 28,676 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/QukanMovie.

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.