🎬 瘴气营地的青春性事与死亡 (2026) 外挂中文字幕 🌟 评分: 6.5 📽 类型: 喜剧, 恐怖, 爱情 🌍 地区: United Kingdom, United States of America 🗣 语言: English 👥 主演: Hannah Einbinder, 吉莲·安德森, Amanda Fix, 亚瑟·康提, Eva Victor 📖 简介: 一个虚构的、曾经流行的恐怖电影系列正逐渐失去观众。在多年的草率续集和日渐式微的粉丝基础上,Camp Miasma 杀人狂系列被一位充满热情的年轻酷儿导演接管,以重振这部作品。但当她拜访原电影的女主角——一位如今隐居且充满神秘色彩的女演员时,两位女性陷入了一个充满欲望、恐惧和狂乱的血腥世界。 🔗 链接: 点击跳转 🙋 投稿人: 热心网友

Channel
115影视资源分享频道
@QukanMovie
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
30,535subscribers
+2,253 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 |
|---|---|
| Type | Channel |
| Username | @QukanMovie |
| Created | Between 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/QukanMovie |
Topic
Film & TV — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 17 Sept 2026, 18:42 | 30,535 | +115 |
| 15 Sept 2026, 18:17 | 30,420 | +45 |
| 14 Sept 2026, 00:40 | 30,375 | +87 |
| 12 Sept 2026, 10:40 | 30,288 | +103 |
| 10 Sept 2026, 06:58 | 30,185 | +147 |
| 7 Sept 2026, 03:19 | 30,038 | +143 |
| 4 Sept 2026, 07:54 | 29,895 | +87 |
| 2 Sept 2026, 22:59 | 29,808 | +28 |
| 1 Sept 2026, 18:55 | 29,780 | +70 |
| 31 Aug 2026, 19:07 | 29,710 | +58 |
| 30 Aug 2026, 20:35 | 29,652 | +44 |
| 29 Aug 2026, 21:04 | 29,608 | +39 |
| 28 Aug 2026, 23:05 | 29,569 | +32 |
| 27 Aug 2026, 20:54 | 29,537 | +33 |
| 26 Aug 2026, 23:44 | 29,504 | +26 |
| 26 Aug 2026, 01:54 | 29,478 | +84 |
| 25 Aug 2026, 00:57 | 29,394 | +117 |
| 23 Aug 2026, 10:27 | 29,277 | +106 |
| 21 Aug 2026, 20:35 | 29,171 | +75 |
| 20 Aug 2026, 17:12 | 29,096 | first reading |
Engagement
543 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 69 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.37%
- avg views ÷ 30,535 subscribers
- Avg views / post
- 723
- 272 posts measured
- Reaction rate
- 0.122%
- reactions ÷ views · ER floor
- Posts in window
- 272
- of 543 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 84 of 272 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 543 (4 August 2026 – 22 September 2026) |
| Views total | 196,681 |
| Reactions total | 86 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 23:49 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
- ≈10,200
- Videos
- ≈4
- Links
- ≈10,300
Lifetime counters from Telegram’s own channel header, read 22 September 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
137 reactions across 114 posts, in 7 distinct kinds. The most used accounts for 74.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 102 | 74.5% | |
| 👍 | 28 | 20.4% | |
| 👎 | 2 | 1.46% | |
| 🤷 | 2 | 1.46% | |
| 👏 | 1 | 0.73% | |
| 🔥 | 1 | 0.73% | |
| 🤩 | 1 | 0.73% |
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 139 of the 543 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 138 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 543 most recent posts we hold, published 4 August 2026 to 22 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
🎬 兰香如故 (2026) 第1-26集 🌟 评分: 7.5 📽 类型: 剧情, 家庭 🌍 地区: China 🗣 语言: 普通话 👥 主演: 谭松韵, 刘学义 📖 简介: 大学士府长孙女沈嘉兰与吏部尚书林家的长孙林锦岐订下婚约,然而朝堂风云突变,祖父沈大学士被判谋逆之罪,沈家惨遭灭门。林家为了自保,与沈家退婚,另与御前新贵赵家结亲。沈嘉兰母亲崔氏曾接济过的林家家奴许万全夫妇用刚病亡的女儿许兰香替下嘉兰。嘉兰从此顶着许兰香的身份,成为林府的一名三等丫鬟。在艰难的境遇中,... 🔗 链接: 点击跳转 🙋 投稿人: 热心网友
📺 交锋 (2026) S01E40 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 1.07 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
📺 交锋 (2026) S01E39 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 1.07 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
❤1
📺 交锋 (2026) S01E38 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 1.03 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
📺 交锋 (2026) S01E37 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 1.06 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
📺 交锋 (2026) S01E36 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 1010.10 MB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
📺 交锋 (2026) S01E35 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 1.17 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
📺 一瓯春 (2026) S01E15 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.5 📽 类型: 剧情, 家庭 🌍 地区: China 🗣 语言: 普通话 👥 主演: 许凯, 周也 📖 简介: “杀伐千面腹黑男”沈润与“人间清醒黑莲花”谢清圆互为刀刃交错,在理智与情感中携手复仇,于高门大户里明争暗斗,立朝堂官场上搅弄风云。最终他们走出暗流深渊,奔赴璀璨新生。 💾 大小: 1.02 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
🎬 克拉克森的农场 (2021) 无 🌟 评分: 8.5 📽 类型: 真人秀, 喜剧 🌍 地区: United Kingdom 🗣 语言: English 👥 主演: 杰里米·克拉克森, 卡勒布·库珀, 查理·爱尔兰, 丽莎·霍根 📖 简介: 着眼于著名主持人克拉克森在农村经营农场的糟糕尝试。2008年买下农场后,他租给了别人,10年的承包合同到期后,克拉克森突发奇想,由他自己来经营。 🔗 链接: 点击跳转 🙋 投稿人: 热心网友
📺 波顿的故事 (2026) 第1季 已完结 ✨4K WEB-DL ATMOS NF 🌟 评分: 7.1 📽 类型: 剧情, 犯罪 🌍 地区: United States of America 🗣 语言: English 👥 主演: 艾拉·比蒂, 薇姬·克里普斯, 莎拉·保罗森, 查理·汉纳姆, 丽贝卡·豪尔 📖 简介: 被困于维多利亚时代残酷家庭的莉齐·博登用斧头残忍杀害了自己的父母,此案震惊全国。 💾 大小: 68.57 GB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
❤1
📺 交锋 (2026) S01E34 ✨4K WEB-DL DDP 5 1 🌟 评分: 9.0 📽 类型: 悬疑 🌍 地区: China 🗣 语言: 普通话 👥 主演: 王凯, 彭昱畅, 欧豪, 周依然, 祖峰 📖 简介: 一宗世纪之交的泄密大案扣动两岸局势脉搏,同时还掩藏着一场境外势力与我方在隐蔽战线上的针锋较量。二十世纪九十年代末,闽州市国家安全局一对性格迥异的师徒,因机缘巧合的命运安排,为了共同的使命与信仰并肩作战。他们联手挫败了各种阴谋,也与敌手在横跨二十年的命运长河里不断纠缠。当时间流转,新世纪的潮流剧变席卷... 💾 大小: 999.80 MB 🔗 链接: 点击跳转 🙋 投稿人: 热心好友
Showing the 12 most recent of 543 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.
Mentions
Named by 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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@QQFXS · 45,6254 posts大聪明 破解软件分享频道
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@shumozy · 20,7693 posts万卷书屋/小说推荐/禁忌书屋
@wanjsw · 220,2273 posts纸鸢分享社-破解软件|游戏分享
@zhiyuanfxs · 87,2873 posts资源分享客栈-Applnn
@zyfxlnn · 32,4693 postsNaruto 频道推荐 👍👍👍
@AChansp · 23,5742 postsAppinn Feed|小众软件
@appinnfeed · 33,3612 posts不是白嫖,这叫借鉴(备用)
@baipiaou · 34,0202 posts爽文 | 穿越 |玄幻 | 涩文 | txt小说
@gezhongxiaoshuo · 9,2542 posts夸克网盘资源俱乐部
@kkdj001 · 6,3852 postsLemaned的宝藏书屋(轻小说书库)
@Lemaned1314 · 16,4932 posts App Store 限免应用 & ...
@ooapps · 9,9102 posts日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享
@xkjdz55 · 22,2582 posts折腾啥
@zhetengsha · 49,2692 posts便宜机场测速
@cheap_proxy · 25,8231 postFFQ Cloud 订阅|id分享中心
@ffqidfx · 6,8681 post互联网研习社(破解软件/游戏 | 实测)
@ruanjianfenxiang77 · 7,8241 post小众机场测评
@sstrojan · 19,7231 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,747,98031 posts永不消逝的音声
@ASMR86866 · 26,2438 posts币圈快讯
@btcnewsdaily · 4,7918 posts电子书资源分享 📚
@KaiPanshare · 16,9127 posts朱颜别镜 | 妹子图 | 美女图
@meizitu3 · 49,7685 posts频道索引&推荐
@recommend3 · 106,8495 posts资源分享客栈-Applnn
@zyfxlnn · 32,4695 posts浅秋分享社 | 破解软件 |游戏分享
@QQFXS · 45,6254 posts书墨资源
@shumozy · 20,7694 posts万卷书屋/小说推荐/禁忌书屋
@wanjsw · 220,2274 postsNaruto 频道推荐 👍👍👍
@AChansp · 23,5743 postsAPPDO的互联网记忆
@appdopic · 16,1923 posts远东墨理破解社🇨🇳🇹🇼🇭🇰🇲🇴(免费翻墙节点 破解软件分享)
@crackhub_cn · 23,8553 posts大聪明 破解软件分享频道
@dcmpj · 41,4983 posts公诸同好 | 二次元美图分享 🅥
@gongzhutonghao · 37,9923 postsLemaned的宝藏书屋(轻小说书库)
@Lemaned1314 · 16,4933 posts互联网研习社(破解软件/游戏 | 实测)
@ruanjianfenxiang77 · 7,8243 posts观影视界[GyWEB]
@WFYSFX03 · 6,5943 posts纸鸢分享社-破解软件|游戏分享
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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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“115影视资源分享频道” (@QukanMovie), 30,535 subscribers as measured 17 September 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.