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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

39,677subscribers

+5,852 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
TypeChannel
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。
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live21 October 2026
Measurements held47
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.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

33,82539,67736,7516 August 2026 — 33,825 subscribers6 August 2026 — 33,825 subscribers6 August 2026 — 33,869 subscribers7 August 2026 — 33,917 subscribers8 August 2026 — 33,978 subscribers9 August 2026 — 34,053 subscribers10 August 2026 — 34,157 subscribers11 August 2026 — 34,236 subscribers12 August 2026 — 34,335 subscribers13 August 2026 — 34,432 subscribers14 August 2026 — 34,564 subscribers16 August 2026 — 34,707 subscribers17 August 2026 — 34,780 subscribers18 August 2026 — 34,852 subscribers19 August 2026 — 34,926 subscribers20 August 2026 — 34,972 subscribers21 August 2026 — 35,057 subscribers23 August 2026 — 35,230 subscribers25 August 2026 — 35,304 subscribers25 August 2026 — 35,356 subscribers26 August 2026 — 35,433 subscribers27 August 2026 — 35,510 subscribers28 August 2026 — 35,586 subscribers29 August 2026 — 35,680 subscribers30 August 2026 — 35,770 subscribers31 August 2026 — 35,840 subscribers2 September 2026 — 35,906 subscribers3 September 2026 — 35,968 subscribers4 September 2026 — 36,073 subscribers7 September 2026 — 36,344 subscribers10 September 2026 — 36,522 subscribers12 September 2026 — 36,658 subscribers14 September 2026 — 36,767 subscribers16 September 2026 — 36,858 subscribers18 September 2026 — 36,999 subscribers30 September 2026 — 37,966 subscribers6 October 2026 — 38,425 subscribers10 October 2026 — 38,752 subscribers13 October 2026 — 39,029 subscribers14 October 2026 — 39,117 subscribers15 October 2026 — 39,161 subscribers16 October 2026 — 39,269 subscribers17 October 2026 — 39,379 subscribers18 October 2026 — 39,476 subscribers19 October 2026 — 39,557 subscribers20 October 2026 — 39,614 subscribers21 October 2026 — 39,677 subscribers6 August 202621 October 2026
47 measurements spanning 77 days, net +5,852. 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 32,947–40,555 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
21 Oct 2026, 18:5639,677+63
20 Oct 2026, 16:5939,614+57
19 Oct 2026, 18:0939,557+81
18 Oct 2026, 17:4639,476+97
17 Oct 2026, 19:2139,379+110
16 Oct 2026, 20:0739,269+108
15 Oct 2026, 20:3039,161+44
14 Oct 2026, 23:5939,117+88
13 Oct 2026, 19:1639,029+277
10 Oct 2026, 05:4238,752+327
6 Oct 2026, 01:1838,425+459
30 Sept 2026, 18:5737,966+967
18 Sept 2026, 05:1636,999+141
16 Sept 2026, 01:5936,858+91
14 Sept 2026, 08:2136,767+109
12 Sept 2026, 19:3736,658+136
10 Sept 2026, 22:2036,522+178
7 Sept 2026, 22:3936,344+271
4 Sept 2026, 17:5936,073+105
3 Sept 2026, 06:3635,968first reading

Engagement

1,064 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 141 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.81%
avg views ÷ 39,677 subscribers
Avg views / post
1,110
419 posts measured
Reaction rate
0.107%
reactions ÷ views · ER floor
Posts in window
419
of 1,064 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 198 of 419 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 21 October 2026
Posts held1,064 (4 August 2026 – 21 October 2026)
Views total467,148
Reactions total254
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Oct 2026, 10:21 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
≈5,130
Videos
≈1
Links
≈5,110

Lifetime counters from Telegram’s own channel header, read 22 October 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

539 reactions across 376 posts, in 8 distinct kinds. The most used accounts for 88.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤47688.3%
👍539.83%
👎50.928%
❤‍🔥10.186%
👏10.186%
😁10.186%
😭10.186%
🤮10.186%

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 425 of the 1,000 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 539 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 August 2026 to 21 October 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

21 Oct 2026, 14:59 UTC≈1,220 views1 reactionsread 22 October 2026
Photo

名称:【原盘】我要你的性 (2026) 4K REMUX 杜比视界 内封简/繁英双语特效字幕 描述:面容清秀的艾略特(库珀·霍夫曼 Cooper Hoffman 饰)在著名艺术家艾丽卡·特蕾西(奥利维亚·王尔德 Olivia Wilde 饰)那里找到了一份工作,当她邀请他成为自己的灵感缪斯时,他的梦想成真了。但很快他就被艾丽卡带入了一个充满性、痴迷、权力、背叛和谋杀的世界,他变得不知所措。 阿里:https://www.alipan.com/s/mJokob4oQMY 夸克:https://pan.quark.cn/s/c949d4da31a7 百度:https://pan.baidu.com/s/1HLMreQ8nepWB_SVoY032YA?pwd=x6gk 📁 大小:51.3GB 🏷 标签:#我要你的性 #喜剧 #爱情 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdi…

❤1

21 Oct 2026, 14:43 UTC≈1,090 views1 reactionsread 22 October 2026
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名称:赛博朋克:边缘行者 第二季 (2026) 4K SDR 全10集 日英多音轨 内封简繁字幕 描述:在这个以暴力为舞台的城市中,留下一个问题:当世界被光怪陆离的表象蒙蔽时,要让自己的故事被铭记,你必须走到多么极端的地步?赛博朋克2:边缘行者2 阿里:https://www.alipan.com/s/hWTxpkVeNCr 夸克:https://pan.quark.cn/s/8e492b1b279d 百度:https://pan.baidu.com/s/1IofGbFryAS83rMTOAWvEbQ?pwd=e3t0 📁 大小:26.7GB 🏷 标签:#动作 #科幻 #赛博朋克:边缘行者 #美漫 #波兰剧 #NF . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

❤1

21 Oct 2026, 14:19 UTC979 views1 reactionsread 22 October 2026
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名称:神秘海域 Uncharted (2022) 描述:足智多谋的内森·德雷克 和经验丰富的寻宝者维克多·苏利文 组成搭档,追寻费迪南·麦哲伦500年前遗失的宝藏。一开始,这似乎只是个简单的寻宝工作,但很快演变成了一场惊险刺激、横跨全球的竞赛。他们必须赶在冷酷无情的蒙卡达 之前寻得宝藏。蒙卡达坚信他和他的家族才是宝藏的正当继承人。若内森和苏利文能破译线索,解开这世界上最古老的谜团,他们便能找到价值50亿美元的宝藏,甚至还可能找到内森失踪已久的哥哥…但首先,他们必须学会通力合作。 阿里:https://www.alipan.com/s/VxJY9pwGy86 夸克:https://pan.quark.cn/s/8a6ba247815a 📁 大小:NG 🏷 标签:#动作 #冒险 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

❤1

21 Oct 2026, 14:14 UTC876 views1 reactionsread 22 October 2026
Photo

名称:死囚漫步 Dead Man Walking (1995) 描述:修女海伦(苏珊·萨兰登 Susan Sarandon饰)受死刑犯马修·庞斯莱(西恩·潘 Sean Penn饰)之托,前往监狱探望他。马修否认残杀年轻情侣被判死刑,提出上诉。海伦一路走访,深入村庄调查真相。一方面是被虐杀而死的无辜情侣,一方面是即将被处决的罪犯的精神依托, 海伦使尽各种办法帮助马修,但当她面对受害者双亲的痛诉以及公众的愤怒时,海伦的内心也陷入纠结的道德审判中。海伦最终感化了马修。 阿里:https://www.alipan.com/s/gFzSUzYbuNu 夸克:https://pan.quark.cn/s/3d693f96397d 📁 大小:NG 🏷 标签:#剧情 #犯罪 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

❤1

21 Oct 2026, 13:59 UTC829 views1 reactionsread 22 October 2026
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名称:夜雾杀机 The Fog (1980) 描述:100年前的北加利福尼亚的安东尼奥海滩,患有麻风病的富豪布雷克希望在此建立一个小镇,将同样患有麻风病的患者集中起来治疗。然而他的爱心并未得到应有的回报,许多觊觎布雷克财富的贪婪之徒来到这里,伺机杀害了布雷克。100年后,当小镇人民举行百年庆典时,一团神秘雾气降临小镇,布雷克及其随从的冤魂从大海深处归来,所到之处人们尽皆死亡。 阿里:https://www.alipan.com/s/pqUkEegbGRK 夸克:https://pan.quark.cn/s/4f44ae73e929 📁 大小:NG 🏷 标签:#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

❤1

21 Oct 2026, 13:51 UTC795 viewsread 22 October 2026
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名称:孩子不想理解 子供はわかってあげない (2020) 描述:读高二的美波是学校游泳队的一员,喜欢看一部以魔法少女Koteko为主角的动画。暑假开始前的某一天,她和在学校屋顶画Koteko的书法部男生昭平相识了。因为对动画的热爱,他们很快就成了朋友。美波和昭平说起了自己的家庭:她和她的母亲、继父还有弟弟一起生活。对亲生父亲,她并没有多少印象。但在一年前,她收到一个不知是谁寄来的咒符,让她怀疑会不会是找到生父的线索。 阿里:https://www.alipan.com/s/psN2uSHuSmT 夸克:https://pan.quark.cn/s/2b7dd5ce9834 📁 大小:NG 🏷 标签:#家庭 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

21 Oct 2026, 13:43 UTC761 views0 reactionsread 22 October 2026
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名称:四月物语 四月物語 (1998) 描述:每年樱花飘飞的四月,是日本大学开学的日子。与父母家人告别后,北海道的17岁少女榆野卯月(松隆子Takako Matsu 饰)只身来到东京武藏野大学开始了新的生活。陌生的城市、崭新的环境以及新结识的同学和邻居都有点让她不知所措。班里组织新生作自我介绍,当被人问到为何选择武藏野大学时,榆野卯月突然表现得十分紧张。原来高中时代的榆野卯月一直暗恋着比自己大一届的同学山崎,正是由于山崎去年到武藏野大学上学,卯月才追随而来的。 阿里:https://www.alipan.com/s/NyfsRvefKoB 夸克:https://pan.quark.cn/s/746e97db299e 📁 大小:NG 🏷 标签:#爱情 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

21 Oct 2026, 13:32 UTC760 viewsread 22 October 2026
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名称:楼上的人们 윗집사람들 (2025) 描述:讲述因为楼层噪音相遇的两对夫妻一起吃晚饭发生的故事。 阿里:https://www.alipan.com/s/e3RnJqdhyE6 夸克:https://pan.quark.cn/s/1e040560210d 📁 大小:NG 🏷 标签:#剧情 #爱情 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

21 Oct 2026, 13:20 UTC762 viewsread 22 October 2026
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名称:恶魔蛙男 ミュージアム (2016) 描述:影片根据巴亮介的同名惊悚漫画改编,漫画2013年连载于《YOUNG MAGAZINE》上,因充斥恐怖暴力元素而赢得广泛关注,同时在围绕电影化权的争夺战上也成为一度的话题。故事讲述了警视厅搜查一课的刑事泽村久志(小栗旬 饰)担当调查仅在雨中发生的连环猎奇杀人案,在犯罪现场留下秘一般的信息以及似乎以被发现为前提的尸体顺藤摸瓜发现了头戴青蛙面具的犯罪嫌疑人“蛙男”的存在,为解开事件背后犯人的目的,泽村被逼入绝境与其展开周旋与对抗。 阿里:https://www.alipan.com/s/zYJ7cCXKf9h 夸克:https://pan.quark.cn/s/ee07129fce5e 📁 大小:NG 🏷 标签:#剧情 #惊悚 #犯罪 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

21 Oct 2026, 13:17 UTC727 viewsread 22 October 2026
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名称:一夜限定 One Night Only (2026) 描述:在架空版本的纽约,当地立法全面禁止婚前亲密行为,全年仅有固定12小时被解禁,全城单身人群都会在这天争相寻找临时约会。女主角艾莉刚刚经历失恋,并不想随便将就一夜情,男主欧文是披萨店打工的普通青年,同样渴望真挚的感情。两人在解禁之夜偶然相遇,原本只是结伴躲避各种疯狂的路人搭讪与城市管控,一路上接连遭遇乌龙意外、旧日仇家阻拦,在横穿整座混乱都市的奔波里,慢慢对彼此动了真心,在这个只为放纵设立的夜晚,追寻一份长久的爱恋。 阿里:https://www.alipan.com/s/7peLnphaBeL 夸克:https://pan.quark.cn/s/bb23e8f87d43 📁 大小:NG 🏷 标签:#剧情 #喜剧 #爱情 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

21 Oct 2026, 13:15 UTC739 views1 reactionsread 22 October 2026
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名称:浪客剑心 最终章 追忆篇 るろうに剣心 最終章 The Beginning (2021) 描述:在成为守护者之前,剑心曾是名为拔刀斋的可怕杀手。但在遇到温柔的雪代巴之后,他的故事开始发生变化。 阿里:https://www.alipan.com/s/LSwXMhKa185 夸克:https://pan.quark.cn/s/e3f4096ff6e0 📁 大小:NG 🏷 标签:#剧情 #动作 #冒险 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

❤1

21 Oct 2026, 12:40 UTC869 viewsread 22 October 2026
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名称:博士的爱情方程式 博士の愛した数式 (2006) 描述:由于一场车祸,执迷数学的博士患上了奇怪的失忆症。从此他只能保有80分钟的记忆,80分钟过后,一切人和事就如同崭新的开始,因此他必须时刻在身上贴上纸条提醒自己一些重要的事情。当年博士靠兄长的资助远赴英国求学,自从兄长去世后,嫂子接手家族的纺织厂辛苦经营,然而家道仍不可避免中落。由于无暇他顾,嫂子请来家政服务员杏子照顾博士。 阿里:https://www.alipan.com/s/MqibwsBchDg 夸克:https://pan.quark.cn/s/be18244e673d 📁 大小:NG 🏷 标签:#剧情 #爱情 #家庭 . 📢 国内影视发布频道:@Aliyun_4K_Movies 📢 此频道只发国外影视:@Netdisk_Movies

Showing the 12 most recent of 1,064 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.

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 21 October 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), 39,677 subscribers as measured 21 October 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.