名称:夜色将烬(2026)4K S01E01 - E14 描述:顾晴雨曾拥有平凡的幸福,直到一场蓄意爆炸夺走丈夫与腹中骨肉。她换脸化身关恬恬,带着恨意接近头号嫌疑人林基明。可朝夕相处间,恨意悄然松动,她发现他眼底的温柔不似伪装。真相揭开,真凶另有其人,而那个曾被她视为仇人的男人,成了她唯一的依靠…… 链接:https://pan.baidu.com/s/14jhhDVKm6tDEiFunVVnD2A?pwd=m6dr 📁 大小:5GB 🏷 标签:#剧情 #夜色将烬

Channel
百度网盘综合频道
@bdwpzhpd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
51,358subscribers
+2,527 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002110524172 |
|---|---|
| Type | Channel |
| Username | @bdwpzhpd |
| Description | 为了更高质量的分享 度盘用户建议挂载后观看 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/bdwpzhpd |
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 96% 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 |
|---|---|---|
| 30 Sept 2026, 20:20 | 51,358 | +549 |
| 18 Sept 2026, 09:01 | 50,809 | +91 |
| 16 Sept 2026, 05:01 | 50,718 | +71 |
| 14 Sept 2026, 13:38 | 50,647 | +76 |
| 13 Sept 2026, 02:17 | 50,571 | +97 |
| 11 Sept 2026, 06:19 | 50,474 | +86 |
| 8 Sept 2026, 13:17 | 50,388 | +138 |
| 5 Sept 2026, 10:59 | 50,250 | +61 |
| 3 Sept 2026, 17:02 | 50,189 | +62 |
| 2 Sept 2026, 13:05 | 50,127 | +40 |
| 1 Sept 2026, 13:53 | 50,087 | +49 |
| 31 Aug 2026, 11:02 | 50,038 | +46 |
| 30 Aug 2026, 08:24 | 49,992 | +62 |
| 29 Aug 2026, 09:25 | 49,930 | +69 |
| 28 Aug 2026, 07:03 | 49,861 | +37 |
| 27 Aug 2026, 03:29 | 49,824 | +55 |
| 26 Aug 2026, 00:33 | 49,769 | +54 |
| 25 Aug 2026, 00:03 | 49,715 | +29 |
| 23 Aug 2026, 09:38 | 49,686 | +52 |
| 21 Aug 2026, 18:56 | 49,634 | first reading |
Engagement
1,563 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 116 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.787%
- avg views ÷ 51,358 subscribers
- Avg views / post
- 404
- 823 posts measured
- Reaction rate
- 0.247%
- reactions ÷ views · ER floor
- Posts in window
- 823
- of 1,563 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 222 of 823 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 October 2026 |
|---|---|
| Posts held | 1,563 (6 August 2026 – 3 October 2026) |
| Views total | 332,817 |
| Reactions total | 251 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Oct 2026, 06:40 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
- ≈21,000
- Links
- ≈21,000
Lifetime counters from Telegram’s own channel header, read 3 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
296 reactions across 229 posts, in 5 distinct kinds. The most used accounts for 49.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 145 | 49.0% | |
| 👍 | 133 | 44.9% | |
| 🔥 | 15 | 5.07% | |
| 😁 | 2 | 0.676% | |
| 🥰 | 1 | 0.338% |
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 266 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 296 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 28 August 2026 to 3 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
名称:染指流年(2026)4K S01E01 - E18 描述:江南少女玫瑰(戚砚笛 饰),因一本古籍和身份神秘的乐手贺彦(邓超元 饰)产生了盘根错节的恩怨,家国大义与儿女私情的纠缠,双面身份,互相牵制,上演一场乱世情深的爱恨情仇。 链接:https://pan.baidu.com/s/1Rz32wwa_Yw1tWH4DyxnY_g?pwd=mwfj 📁 大小:5GB 🏷 标签:#剧情 #染指流年
名称:刺客伍六七 第一季 (2018) 4K 60帧 全13集 描述:在某个小岛上,有一个可以伪装成任何东西的廉价刺客,名叫伍六七。伍六七平时看上去是个理发师,其实背地里却做着刺客生意。他热爱理发事业,喜欢给人剪头发,善用剪刀——剪刀也是他的刺杀武器。由于初入刺客行当,行情十分廉价,因此接到的都是些奇葩的刺杀任务。在完成刺杀任务的过程中,他常与刺杀对象发生一系列有趣的意外事件,每次任务都被搞得乱七八糟。伍六七其实是他的经纪人鸡大保从海边“捡”回来的,当时他重伤昏迷失去了记忆,没有人知道他的过去。鸡大保根据理发店门牌号给他取了个名字——伍六七,同时作为他的经纪人,以理发店为据点,替伍六七承接各种奇葩的刺杀任务。伍六七从来没有成功完成过刺杀任务,但却每次都能意外的化解雇主的仇恨。然而,由于从来没有成功刺杀过一个人,他的行情低落,只能混迹于刺客行业的底层,生活穷困潦倒。 链接:https://pan.baidu.com/s/18a…
名称:无可替代(2026)4K 10bit 60FPS S01E01 - E10 DTS音轨 描述:讲述禀承“这一生绝对不能被别人替代”理念的女白领徐迟,在职场上过关斩将,与公司合伙人叶信之一路携手厮杀,最终成为无可替代之人的故事。 “黑莲花”徐迟与“精狐狸”叶信之互相扶持又相爱相杀!金牌编剧张巍全新都市力作,快节奏爽情节短剧模式,直击当下年轻人痛点,带你职场打怪升级通关! 百度:https://pan.baidu.com/s/1fAIFnBOFHGIDlixX5nGWDg?pwd=nent 📁 大小:5GB 🏷 标签:#剧情 #无可替代
名称:消失的裂痕 (2026) 4K SDR 全6集 内封简繁字幕 描述:一名母亲(杨谨华 饰)在儿子失踪三年后深陷创伤。因长期精神压力,她开始在家中看见异常幻觉,并透过“镜子”发现现实与平行时空的惊人裂口,展开一场虚实交错的悬疑烧脑救援。 链接:https://pan.baidu.com/s/1SqM3snYKW3KOWmy2Et1GrQ?pwd=vju3 📁 大小:45.7G 🏷 标签:#消失的裂痕 #剧情 #悬疑 #惊悚 #台剧 #NF
名称:告白:第25年的秘密 (2026) 4K 全10集 内封简繁字幕 描述:雪村爽太(松村北斗 饰)自幼因一次相遇,对一名女性怀有长达25年的感情。他始终不曾表白,而是在暗中守望,甚至刻意制造“偶然”接近对方。随着两人再次产生交集,他平静的日常开始变得危险而失控。这份情感究竟是纯爱还是执念逐渐失衡?与此同时,一起25年前的惨烈事件与隐藏的秘密逐渐浮出水面,将两人的命运紧紧相连。在爱与疯狂交织之中,一场跨越岁月的真相缓缓揭开。 链接:https://pan.baidu.com/s/17W2YvZiBBrfXYU0hP-R9Og?pwd=ejwb 📁 大小:17.9GB 🏷 标签:#告白:第25年的秘密 #剧情 #爱情 #日剧
名称:英国天朗88周年纪念版》6N纯银镀膜[低速原抓WAV+CUE] 描述:ABC德国制天朗88周年纪念发烧试音碟,6N纯银镀膜介质,低速原抓WAV+CUE。频响全面,音色温润华丽,专为检验音箱动态与解析力,是HiFi收藏参考碟。 链接:https://pan.baidu.com/s/1TzjP6aYp5OJ4IAUIdglW_g?pwd=kick 📁 大小:686MB 🏷 标签:#无损音乐 #音乐
名称:魅影神捕(2026)4K 60FPS S01E01 - E08 杜比音效 描述:鸿运三十七年的大世王朝,即将迎来一场蓄谋已久的血雨腥风,傀儡秘术、长生魔罗、翅莹毒虫、镜花水月、形人之师相继现世,亡国离罗携此“五绝诡术”死灰复燃,制造出一桩桩惊骇迷案。幸皇权直属神捕司内以黎斯为首的一众神捕,为保山河无恙,民生安康,毅然拉开了与离罗余孽殊死斗争的大幕。 百度:https://pan.baidu.com/s/1WSObtet9iQ3hq8vP1bJJ9A?pwd=n1Ao 📁 大小:10GB 🏷 标签:#剧情 #魅影神捕
名称:凡人修仙传 年番4(2026)4K 高码率 S01E01 - E194 描述:韩立返回天南境内途中,从慕兰法士手中救下了旧识,从而得知南宫婉音讯,他决定前往掩月宗……慕兰大举入侵天南,黄龙山战役中韩立杀招频出,一战成名! 百度:https://pan.baidu.com/s/18v9KSrG_6eGLwVFATMa3-g?pwd=34z9 📁 大小:360GB 🏷 标签:#剧情 #凡人修仙传
名称:凡人修仙传:慕兰之战(2026) 4K高码 更新至194集 描述:韩立返回天南境内途中,从慕兰法士手中救下了旧识,从而得知南宫婉音讯,他决定前往掩月宗……慕兰大举入侵天南,黄龙山战役中韩立杀招频出,一战成名! 链接:https://pan.baidu.com/s/1cbUWK7hI9sgRtp7Li_rxLQ?pwd=D3o1 📁 大小:53.3GB 🏷 标签:#动画 #奇幻 #凡人修仙传:慕兰之战
名称:功夫女足 (2026) 4K HDR10 描述:“至尊无敌杯”开赛在即,一众顶尖球队即将展开一场前所未有的巅峰对决!而此时的功夫女足队员们开局直接拿了地狱难度剧本?!对手各个身怀绝技,外界也在层层施压,赛场诡计一环套一环…...她们能否靠功夫在绿茵场上逆风翻盘? 链接:https://pan.baidu.com/s/1gJh5omfQ7pNv2vHHSCRTfw?pwd=99j8 📁 大小:8.4GB 🏷 标签:#功夫女足 #剧情 #喜剧 #运动
名称:功夫女足(2026) 4K SDR dts5.1环绕声 描述:“至尊无敌杯”开赛在即,一众顶尖球队即将展开一场前所未有的巅峰对决!而此时的功夫女足队员们开局直接拿了地狱难度剧本?!对手各个身怀绝技,外界也在层层施压,赛场诡计一环套一环…...她们能否靠功夫在绿茵场上逆风翻盘? 链接: https://pan.baidu.com/s/1fgN9KKgAtCfk1rH1DNInsA?pwd=z85d 📁 大小:4.3GB 🏷 标签:#4K #剧情 #功夫女足
Showing the 12 most recent of 1,563 posts we hold for @bdwpzhpd. 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.
Posts edited after publishing
@bdwpzhpd edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 18 August 2026
- Most recent edit
- 12 September 2026
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“百度网盘综合频道” (@bdwpzhpd), 51,358 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/bdwpzhpd.
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.