名称:风中有朵雨做的云 (2018) 4K 高码 描述:城建委主任唐奕杰(张颂文 饰)在动员钉子户搬迁现场坠楼身亡,年轻警官杨家栋(井柏然 饰)负责调查此案,因此结识了唐奕杰的妻子林慧(宋佳 饰)和女儿唐小诺(马思纯 饰)。通过唐小诺,杨家栋得知唐奕杰和林慧之间的感情并不和睦,不仅如此,林慧还曾患有精神分裂症。 百度:https://pan.baidu.com/s/1yyOfCoWdM09dAwVY7dABMg?pwd=869i 📁 大小:17.6GB 🏷 标签:#剧情 #悬疑 #犯罪 #风中有朵雨做的云 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk

Channel
百度网盘资源频道
@Baidu_Netdisk
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
14,743subscribers
+156 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002450961388 |
|---|---|
| Type | Channel |
| Username | @Baidu_Netdisk |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/Baidu_Netdisk |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 05:03 | 14,743 | +11 |
| 21 Aug 2026, 15:36 | 14,732 | +15 |
| 20 Aug 2026, 12:34 | 14,717 | +14 |
| 19 Aug 2026, 10:15 | 14,703 | +2 |
| 18 Aug 2026, 11:22 | 14,701 | +12 |
| 17 Aug 2026, 10:55 | 14,689 | +16 |
| 15 Aug 2026, 20:17 | 14,673 | +9 |
| 14 Aug 2026, 10:37 | 14,664 | +43 |
| 13 Aug 2026, 00:53 | 14,621 | +3 |
| 12 Aug 2026, 01:22 | 14,618 | +10 |
| 11 Aug 2026, 02:42 | 14,608 | +3 |
| 10 Aug 2026, 02:15 | 14,605 | +7 |
| 9 Aug 2026, 03:11 | 14,598 | +10 |
| 8 Aug 2026, 02:55 | 14,588 | +1 |
| 7 Aug 2026, 15:15 | 14,587 | no change |
| 7 Aug 2026, 15:09 | 14,587 | first reading |
Engagement
518 posts held, back to 7 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 30 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.378%
- avg views ÷ 14,743 subscribers
- Avg views / post
- 55.8
- 518 posts measured
- Reaction rate
- 1.43%
- reactions ÷ views · ER floor
- Posts in window
- 518
- of 518 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 31 of 518 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 518 (7 August 2026 – 22 August 2026) |
| Views total | 28,904 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 00:56 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.
Reaction mix
28 reactions across 27 posts, in 2 distinct kinds. The most used accounts for 71.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 20 | 71.4% | |
| ❤ | 8 | 28.6% |
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 31 of the 518 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 518 most recent posts we hold, published 7 August 2026 to 22 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.
Recent posts
名称:花开锦绣(2026)4K 臻彩 S01E01 - E27 HiveWeb 杜比全景声 描述:豪爽重情的私盐贩子赵凌虽出身草莽,却心怀壮志,他结识了遭人诬陷私通的世家名媛小姐傅庭芸,被迫一起逃亡,二人历经家族与朝廷的重重考验,与命运抗争,终成传奇良缘。 剧集改编自吱吱同名言情小说《花开锦绣》。 百度:https://pan.baidu.com/s/1y0yzHZ-WmQ2smv98fpUbXw?pwd=qrxs 📁 大小:4GB 🏷 标签:#剧情 #花开锦绣 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk
名称:聚宝盆 (2003) 1080P 全37集 描述:沈万三(张卫健 饰)和朱重八(高强 饰)本是两个流落街头的乞儿,一日二人遇见了一个叫做刘伯温(许还山 饰)的人,二人的命运乃至历史都由此改写。刘伯温送给朱重八一把匕首,他由此进入郭子兴的义军,并改名朱元璋;而沈万山则得到一个叫做“聚宝盆”的泥盆,回乡经商。几年过去后,朱元璋在军队中混得风生水起,沈万山如日中天的生意却在此时遭人陷害而面临危机。二人此时重聚,身价都不比从前,当年的兄弟情也慢慢发生了变化。沈万山在危急时刻依然对兄弟朱重八仗义疏财,而朱重八却觊觎沈万山的财富,沈万山的一大笔钱不翼而飞,兄弟俩的关系由此埋下隐患…… 百度:https://pan.baidu.com/s/1fQbT5NZxjVHneSfqL5cD_Q?pwd=888u 📁 大小:48.8GB 🏷 标签:#剧情 #喜剧 #古装 #聚宝盆 #国剧 . 📢 国外影视发布频道:@djya5 📢 此频道只…
名称:花开锦绣(2026)4K 10bi 60FPS 杜比全景声 更至EP27 描述:豪爽重情的私盐贩子赵凌虽出身草莽,却心怀壮志,他结识了遭人诬陷私通的世家名媛小姐傅庭芸,被迫一起逃亡,二人历经家族与朝廷的重重考验,与命运抗争,终成传奇良缘。 百度:https://pan.baidu.com/s/1RbRygvYfjpJvMBOihLJlFQ?pwd=9d38 📁 大小:2G/集 🏷 标签:#花开锦绣 #丁禹兮 #邓恩熙 #剧情 #古装 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk
名称:姜子牙 (2020) 4K 60帧 描述:商朝末年,邪魅炽盛。九尾妖狐化身绝世美女魅惑商王,帝辛沉湎美色,狂暴倍增,饮酒作乐,屠杀黎民。一时间天怒人怨,静虚宫掌教世尊上承天命,拍出弟子姜子牙等众神仙助力周部落起义,最终推翻商周残暴统治。在此之后,众神归位,而九尾也被抓到静虚宫斩妖台,等候最后的发落。作为行刑者的姜子牙,在关键时刻遭到九尾魅惑,看到了令他内心大为波动的景象。虽然九尾被诛,但他也被世尊发配北海古战场反省修行。一晃数年,姜子牙仍在苦寒之地苦苦冥思。而就在某天,一名狐族女孩出现在北海,而她经与姜子牙当年在幻象中见到的女孩一模一样。 百度:https://pan.baidu.com/s/1bsNzo9AOv9QziWFf3_lLnQ?pwd=3fmb 📁 大小:19.4GB 🏷 标签:#奇幻 #动作 #动画 #冒险 #姜子牙 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netd
名称:成名在望(2026)NF 4K SDR 内封简中 S01E01-E10 描述:毕业典礼当天的一场意外,让陈志伟、魏欣妤、罗冠豪三个好友誓言不再相见。然而十多年后的一场绑架案中,三人却再度以警察与被害人身分重逢,一起被卷入航太城背后的阴谋与复仇之中。五年后,一起灭门血案再度将他们推向风暴中心——蛰伏多年的冠豪遭遇死劫、欣妤深陷家暴、志伟升官梦碎,一场友情、权力与欲望的试炼就此展开。 百度:https://pan.baidu.com/s/14WuEJ5i8p-qvd9T2Sj3daA?pwd=3hjp 📁 大小:4.4G/集 🏷 标签:#成名在望 #李国毅 #姚淳耀 #剧情 #犯罪 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk
名称:电影:狄仁杰之玄龙六相 (2026)陈浩民 / 刘金 / 来喜 描述:狄仁杰初任大理寺卿负责追查数年前韩相遗留的玄龙六相法宝。狄仁杰辗转道观、秘教据点与古遗迹查询法宝的下落,查出六宝同用会出现幻境致人暴毙。遗迹幻境中李大人贪求长生毒发身亡,狄仁杰销毁全部法宝,守护大唐安宁。 百度:https://pan.baidu.com/s/108otQqnsNRDqs-3c-smJ5Q?pwd=9b2z 📁 大小:N 🏷 标签:#电影 #狄仁杰之玄龙六相 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk
名称:谢天笑 - 火烧云(2026) (FLAC Hi‑Res 24bit‑48khz) 描述:谢天笑2026全新专辑《火烧云》Hi‑Res高解析音源,FLAC无损格式24bit‑48khz,专辑融入京腔、京胡、传统打击乐与摇滚、电子,历经二十余年打磨,收录10首原创摇滚作品,适合发烧友收藏聆听。 百度:https://pan.baidu.com/s/14cbjYOfK7FEaS1sxHdI8wQ?pwd=kick 📁 大小:516M 🏷 标签:#无损音乐 #音乐 #谢天笑 #火烧云 #摇滚 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk
名称:电影:爱是愤怒 (2026) 描述:无论工作还是生活,刘浩(王安宇 饰)一直都是被轻视的那个。直到遇见菜菜(王玉雯 饰),两个年轻人坠入爱河。然而,就在他们信心满满,想要展开美好未来时,一场意外彻底颠覆了他们的生活。面对险恶的世界,屈辱的人生,他们选择了不一样的反抗…… 百度:https://pan.baidu.com/s/1jY5cX-izjBSiH5APcM9Wxw?pwd=numw 📁 大小:N 🏷 标签:#电影 #爱是愤怒 . 📢 国外影视发布频道:@djya5 📢 此频道只发国内影视:@Baidu_Netdisk
名称:2026年8月22日 短剧更新目录9 描述:1.无敌十年把家还(76集)苏寰&刘浩强 2.系统逼我娶大明星,从此走上人生巅峰(75集)张小磊&齐惠昭 3.小师妹五界第一,天才见她都破防第一季(88集) 4.真心遇良人,公婆身份藏不住(76集)AI短剧 5.重生归来,她四小姐不装了第二季(126集) 6.我在古代上三休四(60集) 7.代号深空:绝境迫降(80集)AI短剧 8.富国的三伏天(40集)AI短剧 9.嫁将军卑微时躺赢人生(119集) 10.捡了个疑心男友(44集) 11.灵尾夫君:今日又没有藏好他的尾巴(40集) 12.你给姐掏心窝子,姐跟你藏心眼子(70集) 13.你好霍总,闪个婚(83集)AI短剧 百度:https://pan.baidu.com/s/10B3EWnn-R97n96_d1J5zpw?pwd=i8n6 📁 大小:N 🏷 标签:#短剧 #最新短剧 #合集 #擦边短剧 #短剧榜 #Ai短剧 #…
名称:2026年8月22日 短剧更新目录8 描述:1.我,赊刀传人强亿点怎么了(80集)张艺霖&李溪琪 2.师命难违,闪婚超级白富美(81集)张子寒&祎一&文瑾 3.暗夜沉欢(87集)路可夏&祈乐 4.吃瓜上位,我成了暴君的唯一信仰(60集) 5.代号龙神(100集)张子安&邹漪琳&江路祺 6.烬染雪棠时,顾总今天也在求入赘(72集) 7.六零养家日记(115集) 8.娘子诱人,小公爷甘心画地为牢3D版(89集) 9.炮灰真千金逆袭:我在末世打脸女主(160集) 10.我家奶猫怎么拐回了天界神君(68集) 11.下凡一起去发癫(70集) 12.云瑶传第三季(109集) 13.这一秒沦陷(30集) 百度:https://pan.baidu.com/s/1u4Wn5uSYDkaoCRMZy_orwA?pwd=4h5n 📁 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…
名称:2026年8月22日 短剧更新目录7 描述:1.绝色女妖想吃我,哪知我是大魔头(72集)翟兆星&金美希 2.藏在烟火里的心动(124集) 3.都市大天师(101集)王大钱&江路祺 4.都重生了,谁还装富二代啊第七季(77集) 5.分家给破井,我靠赶海发家致富(98集) 6.机智的联姻生活(65集)吴添豪&王格格(1080P) 7.极品渔场:从时间加速开始致富(111集) 8.姐姐的反杀时刻(68集)尹馨然&李泽坤 9.落凡小兔,世子独宠第二季(183集) 10.我的限定柏拉图男友第一季(113集) 11.一声聿哥哥,校草他心软了(17集) 12.重回1977,我靠一把弹弓娶媳妇(84集)肖羽铠&姜羽星 13.祖宅送我上青云(60集)徐汇强&刘豪威 百度:https://pan.baidu.com/s/1uHf9jy9EsD3v40jhu9cByg?pwd=cggx 📁 大小:N 🏷 标签:#短剧 #最新短剧 #合集 …
Showing the 12 most recent of 518 posts we hold for @Baidu_Netdisk. 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
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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“百度网盘资源频道” (@Baidu_Netdisk), 14,743 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/Baidu_Netdisk.
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.