Channel
@Aliyun_4K_Movies
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
213,872subscribers
+548 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001674292882 |
|---|---|
| Type | Channel |
| Username | @Aliyun_4K_Movies |
| Description | 欢迎你来到4K影视频道，频道管理都是影视爱好者，主要分享以4K画质为主的电影、电视剧、纪录片、动画等影视资源。当然也有其他画质资源：如1080P、720P的稀缺资源。 |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Aliyun_4K_Movies |
Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 00:02 | 213,872 | +100 |
| 11 Aug 2026, 00:22 | 213,772 | +87 |
| 10 Aug 2026, 02:41 | 213,685 | +147 |
| 9 Aug 2026, 02:11 | 213,538 | +78 |
| 8 Aug 2026, 05:12 | 213,460 | +65 |
| 7 Aug 2026, 07:50 | 213,395 | +54 |
| 6 Aug 2026, 08:51 | 213,341 | +17 |
| 6 Aug 2026, 05:22 | 213,324 | first reading |
240 posts held, back to 5 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 17 pagesof Telegram’s post history, 20 posts per page.
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 64 of 240 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 240 (5 August 2026 – 12 August 2026) |
| Views total | 111,967 |
| Reactions total | 65 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 17:58 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.
Lifetime counters from Telegram’s own channel header, read 12 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.
64 reactions across 58 posts, in 4 distinct kinds. The most used accounts for 51.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 33 | 51.6% | |
| 👍 | 29 | 45.3% | |
| 🔥 | 1 | 1.56% | |
| 🤔 | 1 | 1.56% |
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 64 of the 240 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 240 most recent posts we hold, published 5 August 2026 to 12 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.
名称：九门 (2026) 4K 更新 E01 - 24 集 描述：长沙风云再起之时，张启山（陈伟霆 饰）与吴老狗（曾舜晞 饰）强强联手，携手霍仙姑（陈瑶 饰）与九门诸人共赴冒险奇局。一桩401部队的神秘失踪事件，牵出百年尘封的惊天秘辛。生死抉择、兄弟之情、门派担当与家国大义相互交织。九门众人用热血和牺牲，守护家园，共渡难关。 阿里：https://www.alipan.com/s/LakqPfvLekD 夸克：https://pan.quark.cn/s/a4893e8ccfc6 百度：https://pan.baidu.com/s/1xeWpFRAV_hio0adNpuEgMg?pwd=j4FA 📁 大小：19GB 🏷 标签：#九门 #剧情 #动作 #冒险 #国剧 . 📢 国外影视发布频道：@Netdisk_Movies 📢 此频道只发国内影视：@Aliyun_4K_Movies
#原盘 #4K #电影 #频道 这是一个夸克频道，专注分享国内、海外高画质热门、经典、新出的电影，以4K、REMUXE/原盘 为主，每日分享。。。。。。。。。 频道地址：@jnjy_5
❤1
名称：擦边短剧：奇遇人生&面具游戏（完整版） 描述：喜欢就存 每日更新 | 2026年8月12日抖音快手红果新剧已送达！ 每天同步更新全网最新短剧，频友第一时间看新剧！ 阿里：https://www.alipan.com/s/6hvh7P2xR4w 夸克：https://pan.quark.cn/s/7865442153d6 百度：https://pan.baidu.com/s/1FcD_U7APUhGRv37grUU6jg?pwd=x79g 📁 大小：N 🏷 标签：#短剧 #最新短剧 #合集 #擦边短剧 #短剧榜 #Ai短剧 #动漫短剧 . 📢 国外影视发布频道：@Netdisk_Movies 📢 此频道只发国内影视：@Aliyun_4K_Movies
名称：熊出没·原始时代 (2019) 描述：熊大熊二光头强意外穿越回恢宏的石器时代，在原始部落与猛犸象、剑齿虎等一众奇特生物开启了眼界大开的奇幻之旅！原始时代瑰丽非常却又危机四伏，熊强三人组与一只可爱狼女一路相伴，笑料百出。原始部落纠葛不断，女族长竟对光头强情愫暗生……面对凶猛狼族的步步紧逼、原始人类的不断质疑、自然危机的全面爆发，熊强究竟何去何从？他们又能否回归现代？一场关于守护与成长、爱与勇气的冒险，拉开序幕…… 阿里：https://www.alipan.com/s/hLHqdVo9FuY 夸克：https://pan.quark.cn/s/5e755e81b6c9 📁 大小：NG 🏷 标签：#动漫 #动画 . 📢 国外影视发布频道：@Netdisk_Movies 📢 此频道只发国内影视：@Aliyun_4K_Movies
名称：2026年8月12日 短剧更新目录13 描述：1.师妹修炼我成仙（135集） 2.双生契约山河篇（64集） 3.我家王妃怀里藏着万能空间（100集） 4.硬核老妈，恋爱脑儿子乖乖认栽（68集）张火丁＆张柏基＆谢帅＆红中 5.这个乞丐天下无敌（99集）张闻宇＆江路祺＆陈湧泉＆大卫 6.重生八零：离婚干大事（80集）梁小陌＆李随意＆悟禅 7.三年错爱，追妻复燃（102集） 8.请妖皇赴死，续我华夏三千年（59集）AI短剧 9.灵语契约（62集） 10.老公你怎么变成了我的老板（55集）周煜枫＆陈馨雨＆大松 11.和离当天,我把侯府账本挂上城门（70集） 12.高冷将军暗恋我藏不住了（58集） 13.冬隅手记：屿见清欢胜长安（60集）吴炫汶＆李乐新 阿里：https://www.alipan.com/s/5JnzcFFWa6Y 夸克：https://pan.quark.cn/s/6772550660b1 百度：https:/…
名称：卧虎藏龙：青冥宝剑 (2016) 描述：武当弃徒戴阎王（李截 Jason Scott Lee 饰）为抢夺青冥古剑夜袭铁小贝勒府，俞秀莲（杨紫琼 饰）重出江湖，携手旧友孟思昭（甄子丹 饰）保护宝剑，被蒙蔽的魏方（岑勇康 Harry Shum Jr. 饰）助纣为虐，雪瓶（刘承羽 Natasha Liu Bordizzo 饰）告知魏方其身世之谜。一场江湖混战，众人力擒戴阎王，保护宝剑周全。 阿里：https://www.alipan.com/s/kzh9AVKptJ5 夸克：https://pan.quark.cn/s/cb24ae4fe1bc 📁 大小：NG 🏷 标签：#剧情 #动作 #武侠 #古装 . 📢 国外影视发布频道：@Netdisk_Movies 📢 此频道只发国内影视：@Aliyun_4K_Movies
名称：西游记红孩儿 (2021) 描述：五百年前，妖猴孙悟空大闹天宫，意外踢翻八卦炉导致天火降世。铁扇公主为救苍生，竭尽全力压制天火，但她腹中的红孩儿却被八卦炉的三昧真火侵蚀，成了魔童。铁扇千禧寿宴之际，红孩儿一直为母亲寻世间珍宝。听闻取经团队经过，被苍狼怪怂恿去抢唐僧。 阿里：https://www.alipan.com/s/mz8xk6T2NPL 夸克：https://pan.quark.cn/s/507220b6e140 📁 大小：NG 🏷 标签：#喜剧 #奇幻 . 📢 国外影视发布频道：@Netdisk_Movies 📢 此频道只发国内影视：@Aliyun_4K_Movies
名称：绣春刀3：无间炼狱 (2024) 4K 高妈 60帧 描述：明朝天启年间，阉党权倾朝野，江湖盗匪猖獗，少年流寇季显（李晨浩饰）意外顶替锦衣卫的身份，却被卷入王朝颠覆的阴谋。生死危机的倒计时，出身与本心的对立，与其苟活乱世，不如拼死一战，换个活法。 阿里：https://www.alipan.com/s/u48AN7jQiQh 夸克：https://pan.quark.cn/s/7c9a57bbe981 百度：https://pan.baidu.com/s/1jJ1dCdjoIuHeYvv_-0NyAw?pwd=v86b 📁 大小：16GB 🏷 标签：#绣春刀3：无间炼狱 #动作 #武侠 . 📢 国外影视发布频道：@Netdisk_Movies 📢 此频道只发国内影视：@Aliyun_4K_Movies
名称：绣春刀2：修罗战场 (2017) 4K 高码 60帧 描述：明天启七年，北镇抚司锦衣卫沈炼（张震饰）在一次扫除乱党任务中，为救画师北斋（杨幂饰），将同僚凌云铠（武强饰）灭口。此后一方面要摆脱来自陆文昭（张译饰）、裴纶（雷佳音饰）的质疑与调查，一方面又在神秘女子的要挟下放火烧了锦衣卫经历司。裹挟在乱世，沈炼与北斋情陷其中，却越陷越深。而在这一切的背后，巨大阴谋正暗中布局。众生如蝼蚁囿于修罗场，逆鳞之战，一触即发…… 别名：绣春刀2：修罗战场,绣春刀：修罗场,绣春刀前传 阿里：https://www.alipan.com/s/H7JFs4JpzVt 夸克：https://pan.quark.cn/s/1a92a3225954 百度：https://pan.baidu.com/s/106IPzjd1LcuVm_VwbhKM6g?pwd=7i71 📁 大小：22.7GB 🏷 标签：#绣春刀2：修罗战场 #剧情 #动作 #武侠…
名称：绣春刀 (2014) 4K 高码 描述：明崇祯皇帝登基，大太监魏忠贤（金世杰 饰）及其“阉党”被锦衣卫倾巢覆灭。锦衣卫中以卢剑星（王千源 饰）、沈炼（张震 饰）和靳一川（李东学 饰）三结拜兄弟最为勇猛正直。老大卢剑星为了升官百户，沈炼为替教坊司妓女周妙彤（刘诗诗 饰）赎身，三弟靳一川为摆脱浪人丁修（周一围 饰）的纠缠，三兄弟决定接受东厂都督赵靖忠（聂远 饰）追杀魏忠贤的秘密行动。行动中三人遭到魏忠贤义女魏廷（朱丹 饰）带队阻拦，一场腥风血雨后魏忠贤尸首被带回，卢剑星如愿以偿升官百户，本以为三人夙愿皆能实现，但没想到沈炼竟然隐瞒了一个天大的秘密，并且引起了大臣韩旷（赵立新 饰）的怀疑。 阿里：https://www.alipan.com/s/zU1njdWGiiN 夸克：https://pan.quark.cn/s/95a78a7e7d70 百度：https://pan.baidu.com/s/1kbC3BmUcfTq…
名称：上瘾 (2016) 4K IQ 全15集 描述：本剧讲述了以白洛因和顾海为中心的同性爱情故事。白洛因（许魏洲饰）自小跟父亲相依为命，生活清贫。16岁这年，他的亲生母亲要再婚，嫁给部队高官。另一方面，军官二代顾海（黄景瑜饰）因为母亲的死对父亲一直心怀怨恨，得知父亲即将再婚，更是对父亲的一切安排产生抵触，自行要求转去一个普通学校。新学期到了，这两个带着抵触情绪的兄弟分到了同一个班里。因为机缘巧合，二人从冤家到成为好友，再而逐渐产生了不一样的感情。白洛因的发小杨猛（陈稳饰）以及同班同学尤其（林枫松饰）也在这段感情中起到了催化的作用，缤纷刺激的高中生活就此展开。本剧改编自网络小说家柴鸡蛋小说《你丫上瘾了》。 阿里：https://www.alipan.com/s/DmR2AyEMjbg 夸克：https://pan.quark.cn/s/10383876bfd0 百度：https://pan.baidu.com/s/1vU2x…
名称：十月围城 (2009) 4K 国粤多音轨 描述：1905年，香港中环。革命志士惨遭暗杀。知悉孙中山（张涵予 饰）即将抵港，清廷遂派遣将军阎孝国（胡军 饰）前来剿杀。他收买赌徒沈重阳(甄子丹 饰)作密探。适逢商人李玉堂(王学圻 饰)之子李重光(王柏杰饰)考学庆典，沈重阳见前妻月茹(范冰冰 饰)与幼女已成他人家眷，黯然离去。为护孙，《中国日报》社长陈少白（梁家辉 饰）邀戏班班主（任达华饰）出手，令其惨遭灭门，其女方红(李宇春 饰)侥幸生还。陈少白被擒，与阎孝国相见，师生决裂。独子游行好友被擒等变故，使李玉堂投身革命，引得探长史密夫(曾志伟 饰)查封报馆。其间，李玉堂帮车夫阿四(谢霆锋 饰)与恋人阿纯（周韵 饰）订婚。月茹夜会沈重阳，要他弃暗投明。打女方红、小贩王复明(巴特尔 饰)、乞丐刘郁白(黎明 饰)等人也先后加入护孙行列。一场惊心动魄的全城追杀由此展开…… 阿里：https://www.alipan.com/s/M89…
Showing the 12 most recent of 240 posts we hold for @Aliyun_4K_Movies. 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 — 68,854 of 1,084,084entries 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.
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.
Named by 2 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“阿里、夸克、百度网盘4K影视资源” (@Aliyun_4K_Movies), 213,872 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Aliyun_4K_Movies.
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.