名称:【原盘】无敌破坏王 (2012) 4K REMUX HDR 国粤多音轨 外挂简中字幕 描述:无敌破坏王(约翰·C·赖利 John C. Reilly 配音)生活在一个80年代出品的低精度游戏中。他的设定身份是一个反派,每天的生活就是在游戏《快手阿修》中大搞破坏,其后由玩家操作的英雄人物快手阿修(杰克·麦克布瑞尔 Jack McBrayer 配音) 会及时赶到进行修补,赢得奖牌,包揽一切荣耀。身为反派,破坏王厌倦了自己的生活,眼看阿修被胜利者的光环围绕,自己却日复一日在无趣中过活,他终于决定改变。单纯的他以为只要自己也能得到一枚奖牌,就可以摆脱反派的身份,于是某日在游戏厅歇业后,破坏王偷偷离开了自己的游戏,前去闯荡其他电子游戏的世界。 阿里:https://www.alipan.com/s/9JcViExf5BP 夸克:https://pan.quark.cn/s/2660b2681651 百度:https://pan.…

Channel
海外影视资源频道(夸克、阿里、百度)
@Netdisk_Movies
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
36,999subscribers
+3,174 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002955080433 |
|---|---|
| Type | Channel |
| Username | @Netdisk_Movies |
| Description | 此频道为阿里云盘、夸克网盘、百度网盘频道,发布热门与经典海外影视。 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/Netdisk_Movies |
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 93% 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 |
|---|---|---|
| 18 Sept 2026, 05:16 | 36,999 | +141 |
| 16 Sept 2026, 01:59 | 36,858 | +91 |
| 14 Sept 2026, 08:21 | 36,767 | +109 |
| 12 Sept 2026, 19:37 | 36,658 | +136 |
| 10 Sept 2026, 22:20 | 36,522 | +178 |
| 7 Sept 2026, 22:39 | 36,344 | +271 |
| 4 Sept 2026, 17:59 | 36,073 | +105 |
| 3 Sept 2026, 06:36 | 35,968 | +62 |
| 2 Sept 2026, 00:34 | 35,906 | +66 |
| 31 Aug 2026, 21:56 | 35,840 | +70 |
| 30 Aug 2026, 22:05 | 35,770 | +90 |
| 29 Aug 2026, 22:27 | 35,680 | +94 |
| 28 Aug 2026, 21:45 | 35,586 | +76 |
| 27 Aug 2026, 23:43 | 35,510 | +77 |
| 26 Aug 2026, 20:57 | 35,433 | +77 |
| 25 Aug 2026, 23:53 | 35,356 | +52 |
| 25 Aug 2026, 00:14 | 35,304 | +74 |
| 23 Aug 2026, 14:07 | 35,230 | +173 |
| 21 Aug 2026, 21:07 | 35,057 | +85 |
| 20 Aug 2026, 15:17 | 34,972 | first reading |
Engagement
705 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 90 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.77%
- avg views ÷ 36,999 subscribers
- Avg views / post
- 1,020
- 333 posts measured
- Reaction rate
- 0.114%
- reactions ÷ views · ER floor
- Posts in window
- 333
- of 705 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 132 of 333 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 705 (4 August 2026 – 27 September 2026) |
| Views total | 340,757 |
| Reactions total | 166 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 15:26 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
- ≈4,770
- Videos
- ≈1
- Links
- ≈4,760
Lifetime counters from Telegram’s own channel header, read 27 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
350 reactions across 240 posts, in 6 distinct kinds. The most used accounts for 94.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 329 | 94.0% | |
| 👍 | 12 | 3.43% | |
| 👎 | 4 | 1.14% | |
| 👏 | 3 | 0.857% | |
| ❤🔥 | 1 | 0.286% | |
| 😭 | 1 | 0.286% |
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 282 of the 705 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 359 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 705 most recent posts we hold, published 4 August 2026 to 27 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
名称:如晴天,似雨天 Like Sunday, Like Rain (2014) 描述:贫穷女孩埃莉诺来自一个破碎的家庭,她为了生计不得不放弃音乐理想去富人家做了保姆,而雇主家的小男孩雷吉恰好是一名音乐神童,虽然出身富贵但却压抑孤独,在相处中,两颗心逐渐贴近、相互温暖,两人之间产生了一种超乎友谊与爱情的情感,在音乐上成为了彼此的知音。然而,埃莉诺终将离开雷吉开始新的生活,雷吉将这份与埃莉诺之间的美好回忆谱写成了优美的乐曲《就像下雨的星期天》。 阿里:https://www.alipan.com/s/d2yCyMRHGMv 夸克:https://pan.quark.cn/s/1fda785e2c74 📁 大小:NG 🏷 标签:#剧情 #音乐 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies
名称:梅根2.0 M3GAN 2.0 (2025) 描述:第二部仍以女孩卡迪(维奥莱特·麦格劳 Violet McGraw 饰)和她的姨妈珍玛(艾莉森·威廉姆斯 Allison Williams 饰)为主线,她们遭到了下一代机器人“阿米莉亚”(伊万娜·萨赫诺 Ivanna Sakhno 饰)的疯狂攻击,而本已沦为智能语音助手的梅根(珍娜·戴维斯 Jenna Davis 配音),似乎是帮助她们对抗阿米莉亚的绝佳选择。 阿里:https://www.alipan.com/s/n76Bap5jNL3 夸克:https://pan.quark.cn/s/8b443536a4f9 📁 大小:NG 🏷 标签:#动作 #科幻 #惊悚 #恐怖 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies
名称:冷山 Cold Mountain (2003) 描述:美国南北战争时期,连连征战和南方军队的节节败退令士兵Inman(Jude Law 饰)心灰意冷,为了再见情人Ada(Nicole Kidman饰),他离开部队,踏上了漫漫回家路。在他的家乡,偏僻的冷山镇,Ada也饱受生活的折磨和等待的痛苦。父亲的去世和奴隶的离开,使养尊处优的Ada生活难以为继,在山区女孩Ruby Thewes(Renée Zellweger 饰)的帮助下,Ada渐渐学学会与周围粗砺尖锐的生活对抗挣扎,期待Inman的归来。 阿里:https://www.alipan.com/s/KoVE23ZBD5n 夸克:https://pan.quark.cn/s/0c697fd076d4 📁 大小:NG 🏷 标签:#剧情 #爱情 #战争 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies
名称:婚姻剧毒 (2026) 4K CR 超分 全13集 内封简繁字幕 描述:青年·下吕担任家业延续数百年的杀手『用毒人』。 从事见不得光的工作,又不擅长跟女性交流,他认为自己不该结婚。 然而,为了延续『用毒人』的血统,老家宣布将强制要求他的妹妹生下接班人。 此时,下吕遇见了原本是工作目标的婚姻骗子‧城崎…? 「那样的提案〈求婚〉,还是头一遭。」 把婚姻骗子当成提供建议的人,展开了杀手的婚姻活动! 阿里:https://www.alipan.com/s/yoU2JroDXSk 夸克:https://pan.quark.cn/s/84599460722b 百度:https://pan.baidu.com/s/17EKkitfneP6c2r4ZYImnUw?pwd=c2z3 📁 大小:16.6GB 🏷 标签:#婚姻剧毒 #剧情 #日漫 #柊舞缇娜 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外…
❤1
名称:猫鼠游戏 Catch Me If You Can (2002) 描述:弗兰克(莱昂纳多·迪卡普里奥 Leonardo DiCaprio饰)是FBI有史以来年龄最小的通缉犯。他的犯罪手段神通广大,伪装身份的能力超乎常人,全美各地几乎都留下他的犯罪足迹。乔装医生、律师、飞行员,统统都是他曾经的身份。当然,弗兰克凭着这个“本领”,骗取了高达几百万的金额。 阿里:https://www.alipan.com/s/GbktYfrc5H3 夸克:https://pan.quark.cn/s/08498970d225 📁 大小:NG 🏷 标签:#剧情 #传记 #犯罪 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies
❤2
名称:【原盘】寂静岭 (2006) 1080P REMUX 内封简/繁英双语特效字幕 描述:为了女儿,Rose(拉达•米契尔 饰)与女儿一起来到了一个奇怪的地方。女儿常常梦游,Rose寻遍医生都无法把女儿的病治好,虽然灰心过但Rose还是不愿放弃医治女儿。女儿是她的命根,女儿梦游时总是说着一个名字,于是她丢下丈夫(肖恩•宾 饰),到了那个叫寂静岭的地方。Rose以为在那里能找到治疗女儿疾病的答案,但这个地方却出乎了她当初所想象。祸不单行的是女儿在这时候奇怪地失踪了。这里不像一般的城镇,空气中弥漫着让人窒息的浓雾。在这里居住的人不多,却有很多奇怪的生物居住,Rose到处寻找女儿,却不得要领。而且更常常遇到令她意想不到的事情,从未接触过的事物。渐渐的,她了解了有关这个地方的历史,也得知了一个秘密…… 阿里:https://www.alipan.com/s/7R3KEKdRMxK 夸克:https://pan.quark.cn/s…
❤1
名称:【原盘】蝙蝠侠:骑士陨落 第一部:骑士陨落 (2026) 4K REMUX 杜比视界 内封简繁特效字幕 描述:被称为“贝恩”的神秘巨兽只身突破阿卡姆疯人院,将蝙蝠侠的全部宿敌尽数释放到哥谭街头,整座城市瞬间陷入前所未有的犯罪狂潮。蝙蝠侠为了追捕四散的反派,日夜不休地奔波在哥谭的各个角落,精神与体力都被消耗到极限。而这一切,都是贝恩精心策划的棋局——他在暗处冷眼观察,步步紧逼,用连绵不绝的危机一点点消磨披风斗士的意志,一步步将蝙蝠侠推向身心双重崩溃的临界点。 阿里:https://www.alipan.com/s/hf9MdAcFAMD 夸克:https://pan.quark.cn/s/96a6027b9679 百度:https://pan.baidu.com/s/1kpHCf9v7ZglOkXQDEKwDhQ?pwd=8rmx 📁 大小:47.8GB 🏷 标签:#蝙蝠侠:骑士陨落 #第一部:骑士陨落 #剧情 #动作…
名称:【原盘】了不起的狐狸爸爸 (2009) 4K REMUX HDR 杜比视界 国粤英多音轨 内封简繁字幕 描述:本片根据挪威藉英国儿童文学作家罗尔德·达尔(Roald Dahl)的同名儿童故事改编。狐狸爸爸(乔治·克鲁尼 George Clooney 配音)和狐狸太太(梅丽尔斯·特里普 Meryl Streep 配音)在乳鸽场偷窃时得知狐狸太太怀孕,狐狸爸爸承诺二人脱逃后不再行窃。两年后,狐狸爸爸不顾獾律师(比尔·默瑞 Bill Murray 配音)的反对,执意购入了位于养鸡场、火腿商和苹果酒三农场主地界上的树屋。一心想成为运动员的狐狸儿子艾什(詹森·舒瓦兹曼 Jason Schwartzman 配音)对新搬来暂住的表兄克里斯托弗森(艾瑞克·蔡斯·安德森 Eric Chase Anderson 配音)又妒又恨;而狐狸爸爸则再次按奈不住,联合树屋管理员负鼠凯利(华莱士·沃勒德斯基 Wallace Wolodarsky 配音)…
❤1
名称:名侦探柯南 4K 更至1274集 日语+国语 描述:工藤新一是全国著名的高中生侦探,在一次追查黑衣人犯罪团伙时不幸被团伙成员发现,击晕后喂了神奇的药水,工藤新一变回了小孩!新一找到了经常帮助他的阿笠博士, 阿里:https://www.alipan.com/s/jPVnDqJ1mx2 夸克:https://pan.quark.cn/s/c2eeda1fdf47 百度:https://pan.baidu.com/s/1auzw6P5981I0dht0dxDuzg?pwd=k7ww 📁 大小:N 🏷 标签:#日漫 #名侦探柯南 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies
名称:生化危机:爆发夜 (2026) 1080P SDR 内封简中字幕 描述:奉命奔赴浣熊市的医疗速递员布莱恩,意外深陷全城失控的病毒浩劫。浣熊市彻底沦陷,异变怪物横行肆虐、嗜血猎捕,身陷末日绝境的他,能否在这场惊魂噩梦中突围求生,搏出一线生机? 阿里:https://www.alipan.com/s/NnHCmmpPjRA 夸克:https://pan.quark.cn/s/adf027b8e3e2 百度:https://pan.baidu.com/s/1PYrF5jpWIthF0n2DsGJFPA?pwd=p6a2 📁 大小:5.3GB 🏷 标签:#生化危机:爆发夜 #科幻 #惊悚 #冒险 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies
❤4
名称:【原盘】钢琴家 (2002) 4K REMUX HDR 杜比视界 国英多音轨 内封简英双语字幕 描述:二战期间,一位天才的波兰犹太钢琴家,四处躲藏以免落入纳粹的魔爪。他在华沙的犹太区里饱受着饥饿的折磨和各种羞辱,整日处在死亡的威胁下。他躲过了地毯式的搜查,藏身于城市的废墟中。幸运的是他的音乐才华感动了一名德国军官,在军官的冒死保护下,钢琴家终于捱到了战争结束,迎来了自由的曙光。 阿里:https://www.alipan.com/s/89uqcCwvzK9 夸克:https://pan.quark.cn/s/45766132fd34 百度:https://pan.baidu.com/s/1ptuJEd7b5gFAF8FuxLQ2Cg?pwd=4ye7 📁 大小:66.5GB 🏷 标签:#钢琴家 #剧情 #战争 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Mo
❤1
Showing the 12 most recent of 705 posts we hold for @Netdisk_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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
Named by 3 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“海外影视资源频道(夸克、阿里、百度)” (@Netdisk_Movies), 36,999 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Netdisk_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.