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Channel

阿里云盘发布频道

@shareAliyun

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

199,926subscribers

-4,192 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001469109660
TypeChannel
Username@shareAliyun
Description和谐、友爱的阿里云盘分享交流频道,每个人在这里都可以分享自己想分享的资源。 禁止GHS 流量卡: @iiShare 影子频道: @shareAliyun00 资源交流群: @aliyundriveShare 网盘资源收藏: @yunpanshare 科技趣闻杂记: @kejiqu 备份频道: @alyShare
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live21 October 2026
Measurements held43
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.me/shareAliyun

Topic

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 77% 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

199,926204,118202,0226 August 2026 — 204,118 subscribers7 August 2026 — 204,054 subscribers8 August 2026 — 204,018 subscribers9 August 2026 — 203,990 subscribers10 August 2026 — 203,931 subscribers11 August 2026 — 203,889 subscribers12 August 2026 — 203,832 subscribers14 August 2026 — 203,783 subscribers15 August 2026 — 203,705 subscribers17 August 2026 — 203,606 subscribers18 August 2026 — 203,536 subscribers19 August 2026 — 203,476 subscribers20 August 2026 — 203,432 subscribers21 August 2026 — 203,382 subscribers22 August 2026 — 203,296 subscribers24 August 2026 — 203,193 subscribers25 August 2026 — 203,110 subscribers26 August 2026 — 203,061 subscribers27 August 2026 — 203,034 subscribers28 August 2026 — 202,991 subscribers29 August 2026 — 202,953 subscribers30 August 2026 — 202,873 subscribers31 August 2026 — 202,782 subscribers1 September 2026 — 202,744 subscribers3 September 2026 — 202,680 subscribers4 September 2026 — 202,603 subscribers7 September 2026 — 202,461 subscribers10 September 2026 — 202,262 subscribers12 September 2026 — 202,139 subscribers14 September 2026 — 202,035 subscribers16 September 2026 — 201,938 subscribers18 September 2026 — 201,813 subscribers1 October 2026 — 201,126 subscribers6 October 2026 — 200,840 subscribers10 October 2026 — 200,568 subscribers13 October 2026 — 200,394 subscribers15 October 2026 — 200,320 subscribers16 October 2026 — 200,237 subscribers16 October 2026 — 200,205 subscribers18 October 2026 — 200,135 subscribers19 October 2026 — 200,071 subscribers20 October 2026 — 199,997 subscribers21 October 2026 — 199,926 subscribers6 August 202621 October 2026
43 measurements spanning 75 days, net -4,192. 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 199,297–204,747 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)SubscribersChange
21 Oct 2026, 03:21199,926-71
20 Oct 2026, 02:16199,997-74
19 Oct 2026, 00:58200,071-64
18 Oct 2026, 03:28200,135-70
16 Oct 2026, 23:55200,205-32
16 Oct 2026, 03:14200,237-83
15 Oct 2026, 01:50200,320-74
13 Oct 2026, 20:38200,394-174
10 Oct 2026, 06:38200,568-272
6 Oct 2026, 03:40200,840-286
1 Oct 2026, 01:17201,126-687
18 Sept 2026, 09:56201,813-125
16 Sept 2026, 03:19201,938-97
14 Sept 2026, 06:56202,035-104
12 Sept 2026, 13:41202,139-123
10 Sept 2026, 10:41202,262-199
7 Sept 2026, 04:40202,461-142
4 Sept 2026, 10:20202,603-77
3 Sept 2026, 00:47202,680-64
1 Sept 2026, 22:37202,744first reading

Engagement

1,931 posts held, back to 6 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 157 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.293%
avg views ÷ 199,926 subscribers
Avg views / post
587
916 posts measured
Reaction rate
0.248%
reactions ÷ views · ER floor
Posts in window
919
of 1,931 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 510 of 916 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 22 October 2026
Posts held1,931 (6 August 2026 – 22 October 2026)
Views total537,451
Reactions total750
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Oct 2026, 01:05 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
≈29,800
Links
≈29,800

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

789 reactions across 518 posts, in 7 distinct kinds. The most used accounts for 79.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍62479.1%
❤15419.5%
💔50.634%
👀20.253%
🤣20.253%
👏10.127%
🤔10.127%

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 546 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 789 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 17 September 2026 to 22 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

22 Oct 2026, 01:01 UTC24 viewsread 22 October 2026
Photo

名称:完美的世界 A Perfect World 描述:单亲孩子菲利普·佩里(T·J·劳瑟 T.J. Lowther 饰)的母亲对他管教甚严,8岁的小菲利普甚至从未参加过一次鬼节讨糖果的游戏。附近州监狱的两名罪犯越狱成功,劫持了菲利普作为人质,向德州边界逃窜。途中,罪犯之一的布奇(凯文·科斯特纳 Kevin Costner 饰)干掉了鲁莽愚蠢的同伙,却对小菲利普照顾有加。与此同时,德州警探瑞德(克林特·伊斯特伍德 Clint Eastwood 饰)带着手下和州长特派的犯罪专家萨利(劳拉·邓恩 Laura Dern 饰)一同火速追捕布奇。双方在德克萨斯州境内展开了一场公路赛大竞技;而小菲利普也经历了很多从未想过过的刺激与快乐,并与布奇产生了一种近似父子的不寻常感情…… 链接:https://pan.quark.cn/s/32e446abcfaf 网站:https://www.free4share.com/resource/61…

Signed 资源投稿搜索助手

22 Oct 2026, 00:56 UTC38 viewsread 22 October 2026
Photo

名称:小城良方 (2026) 4K 高码率 [DV&HDR] [内封中字] [更新04集] 描述:讲述了当天才医生刘铮亮遭遇人生滑铁卢,被迫返回家乡从零开始的故事。他就地集结一群“不靠谱”的人,热血操刀着“最靠谱”的事,在烟火气中以人情暖意编织市井日常,开出一剂剂疗愈心灵的人生处方。 链接:https://www.alipan.com/s/CAJNpQTneSU 📁 大小:单集4GB左右 🏷 标签:#小城良方 #剧情 #4K #高码率 #DV #HDR #内封中字 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

Signed 乐趣频道 投稿&搜索

22 Oct 2026, 00:55 UTC40 viewsread 22 October 2026
Photo

名称:小城良方 (2026) 4K 高码率 [DV&HDR] [内封中字] [更新04集] 描述:讲述了当天才医生刘铮亮遭遇人生滑铁卢,被迫返回家乡从零开始的故事。他就地集结一群“不靠谱”的人,热血操刀着“最靠谱”的事,在烟火气中以人情暖意编织市井日常,开出一剂剂疗愈心灵的人生处方。 链接:https://www.alipan.com/s/CAJNpQTneSU 📁 大小:NG 🏷 标签:#小城良方 #剧情 #4K #高码率 #DV #HDR #内封中字 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 15:07 UTC637 views2 reactionsread 22 October 2026
Photo

名称:本草中华 第二季 (2019) 1080P 全6集 描述:“躬行大地、翻山越岭、只为遇见疗愈生命的中国智慧。” 纪录片《本草中华》由国药大师金世元提供专业指导,讲述中草药的生命轮回和中国人的处世智慧。由创造纪录片收视传奇云集将来传媒团队倾力打造,走向远方倾听本草的故事,只为回归初心,理解生命的本真。《刚柔》、《轻重》、《黑白》、《进退》、《新陈》、《甘苦》,这是本草的哲学,也是我们与这个世界相处的方式。草木以仰望的姿态,洞悉人间,参透山川的密语,将万物点化融合,这是我们的先辈交还给自然的答案。 链接:https://www.alipan.com/s/Xc3tPzhvmvX 📁 大小:3.3GB 🏷 标签:#本草中华 #纪录片 #1080P #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

👍2

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 14:59 UTC522 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。 链接:https://www.alipan.com/s/mJokob4oQMY 📁 大小:51.3GB 🏷 标签:#我要你的性 #喜剧 #爱情 #原盘 #4K #REMUX #杜比视界 #内封简 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

👍1

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 14:50 UTC440 viewsread 22 October 2026
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名称:把黑夜点燃 (2026) 4K HDR 全12集 描述:1997年,在西南地区小城雾港,陈善一家生活在西南石油单位分配的单身楼里。父亲陈福是石油管道施工项目一把手,母亲张文英是石油设计院的设计骨干,还有一个在供应站档案室工作的姐姐陈英,一家人其乐融融,陈善也将沿着父辈的道路回归石油系统。可一场意外的管道燃气爆炸事故改变了所有人的轨迹,父亲陈福死在了这场事故中,母亲张文英在石油系统内部的斗争中成为牺牲品,陈善承受不了打击只身离家,去抢修队工作维持生计。2001年,西南石油系统乘上经济发展的高速列车,家家户户都过上了中产的日子。陈善成为施工队的一把手“善哥”,像行尸走肉般把自己困在了当年。而他遇到了同样一场意外爆炸案,当年派系斗争里落败的设计院院长耿剑也卷入其中,陈善决定沿着现在的线索,重新挖掘当年意外事故的隐情,没想到越来越多的人浮现出来。 链接:https://www.alipan.com/s/ggtUyNxtqDa …

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 14:43 UTC445 viewsread 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 链接:https://www.alipan.com/s/hWTxpkVeNCr 📁 大小:26.7GB 🏷 标签:#动作 #科幻 #赛博朋克 #边缘行者 #美漫 #波兰剧 #NF #4K #SDR #日英多音轨 #内封简繁字幕 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 14:19 UTC511 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。 链接:https://www.alipan.com/s/VxJY9pwGy86 📁 大小:NG 🏷 标签:#动作 #冒险 #神秘海域 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

❤1

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 14:14 UTC460 views1 reactionsread 22 October 2026
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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。 链接:https://www.alipan.com/s/gFzSUzYbuNu 📁 大小:NG 🏷 标签:#剧情 #犯罪 #死囚漫步 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

❤1

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 13:59 UTC463 viewsread 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。 链接:https://www.alipan.com/s/pqUkEegbGRK 📁 大小:NG 🏷 标签:#惊悚 #恐怖 #夜雾杀机 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 13:51 UTC445 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。 链接:https://www.alipan.com/s/psN2uSHuSmT 📁 大小:NG 🏷 标签:#家庭 #孩子不想理解 #子供はわかってあけない #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

Signed 乐趣频道 投稿&搜索

21 Oct 2026, 13:43 UTC455 viewsread 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。 链接:https://www.alipan.com/s/NyfsRvefKoB 📁 大小:NG 🏷 标签:#爱情 #四月物语 #四月物語 #ali ⚠️ 版权:版权反馈/DMCA 📢 频道 👥 群组 🔍 投稿/搜索

Signed 乐趣频道 投稿&搜索

Showing the 12 most recent of 1,931 posts we hold for @shareAliyun. 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

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 14 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.

“阿里云盘发布频道” (@shareAliyun), 199,926 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/shareAliyun.

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.