名称:一瓯春 (2026) 23集 4K SDR 描述:“杀伐千面腹黑男”沈润与“人间清醒黑莲花”谢清圆互为刀刃交错,在理智与情感中携手复仇,于朝堂官场上搅弄风云,于高门大户里明争暗斗。最终他们走出暗流深渊,奔赴璀璨新生。 该剧改编自尤四姐的同名小说。 夸克:https://pan.quark.cn/s/2e9bc4696b04 📁 大小:N 🏷 标签:#一瓯春 #爱情 #古装

Channel
夸克云盘影视资源频道
@Quark_Movies
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
106,058subscribers
+1,414 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 | -1001959723113 |
|---|---|
| Type | Channel |
| Username | @Quark_Movies |
| Description | 此频道未开放投稿。因为开放投稿,不是盗发他人资源,就是夹杂广告,懒得管理,故不开放投稿。。。 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/Quark_Movies |
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 10 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 26 Sept 2026, 12:41 | 106,058 | +141 |
| 19 Sept 2026, 16:15 | 105,917 | +59 |
| 17 Sept 2026, 05:37 | 105,858 | +100 |
| 15 Sept 2026, 06:19 | 105,758 | +26 |
| 13 Sept 2026, 18:37 | 105,732 | +72 |
| 11 Sept 2026, 21:19 | 105,660 | +56 |
| 9 Sept 2026, 13:40 | 105,604 | +68 |
| 6 Sept 2026, 03:59 | 105,536 | +61 |
| 4 Sept 2026, 00:55 | 105,475 | -5 |
| 2 Sept 2026, 15:07 | 105,480 | -4 |
| 1 Sept 2026, 12:38 | 105,484 | -1 |
| 31 Aug 2026, 13:58 | 105,485 | +6 |
| 30 Aug 2026, 15:54 | 105,479 | +26 |
| 29 Aug 2026, 14:55 | 105,453 | +32 |
| 28 Aug 2026, 11:53 | 105,421 | +15 |
| 27 Aug 2026, 09:14 | 105,406 | +8 |
| 26 Aug 2026, 07:45 | 105,398 | +22 |
| 25 Aug 2026, 04:49 | 105,376 | +19 |
| 24 Aug 2026, 03:13 | 105,357 | +35 |
| 22 Aug 2026, 13:08 | 105,322 | first reading |
Engagement
2,065 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 107 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.352%
- avg views ÷ 106,058 subscribers
- Avg views / post
- 374
- 1,169 posts measured
- Reaction rate
- 0.276%
- reactions ÷ views · ER floor
- Posts in window
- 1,169
- of 2,065 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 311 of 1,169 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 | 2,065 (6 August 2026 – 27 September 2026) |
| Views total | 436,870 |
| Reactions total | 330 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 10:31 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
- ≈14,900
- Links
- ≈14,800
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
293 reactions across 250 posts, in 4 distinct kinds. The most used accounts for 49.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 145 | 49.5% | |
| ❤ | 133 | 45.4% | |
| 🔥 | 14 | 4.78% | |
| 👏 | 1 | 0.341% |
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 267 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 293 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 2 September 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:电视剧:兰香如故 (2026)谭松韵 / 刘学义 / 李梦 / 郑合惠子 更新至35集 描述:大学士府长孙女沈嘉兰与吏部尚书林家的长孙林锦楼订下婚约,然而朝堂风云突变,祖父沈大学士被判谋逆之罪,沈家惨遭灭门。林家为了自保,与沈家退婚,另与御前新贵赵家结亲。 夸克:https://pan.quark.cn/s/afc3943ec7e9 📁 大小:N 🏷 标签:#电视剧 #国剧 #兰香如故
名称:一瓯春 (2026)爱情 古装 周也 4KHQHDR60FPS 更新17集 描述:“杀伐千面腹黑男”沈润与“人间清醒黑莲花”谢清圆互为刀刃交错,在理智与情感中携手复仇,于朝堂官场上搅弄风云,于高门大户里明争暗斗。最终他们走出暗流深渊,奔赴璀璨新生。 该剧改编自尤四姐的同名小说。 夸克:https://pan.quark.cn/s/2188896b3501 📁 大小:5G/集 🏷 标签:#一瓯春 #爱情 #古装 #周也 #4KHQHDR60FPS
👍1
名称:我不是大师 (2026)剧情 悬疑 李现 李一桐 4KHDR60FPS 更新10集 描述:上官诚明全家惨遭天相派设局灭门,他化名潜伏,以牙还牙,以眼还眼,联手身陷泥淖却势要逆天改命的江飞燕,用连环骗局反噬仇敌,一路揭露骗术黑幕,最终瓦解天相派,解救受控者,惩恶扬善终彰善念。 改编自易之小说《我是个算命先生》。 夸克:https://pan.quark.cn/s/cae8d8faaf05 📁 大小:NG 🏷 标签:#我不是大师 #剧情 #悬疑 #李现 #李一桐 #4KHDR60FPS
👍1
名称:法医秦明之龙番往事 (2026)剧情 悬疑 犯罪 俞灏明 史策 4K 更新11集 描述:故事发生在九十年代的北方石油小城龙番市。六十年代这里发现了石油,大量石油工人从全国各地汇聚而来。原本贫困的村庄逐渐变成了一座新兴的资源型城市,高楼大厦拔地而起。表面的繁华背后,油田和当地的关系却矛盾不断。石油带来了富足的生活,也让人心变得欲壑难填…… 作品改编自秦明小说《天谴者》。 夸克:https://pan.quark.cn/s/176384226fb6 📁 大小:2G/集 🏷 标签:#法医秦明之龙番往事 #剧情 #悬疑 #犯罪 #4K
👍1
名称:披荆斩棘 (2026) 更新 20260927 描述:本季集结28位嘉宾,以「点燃」为核心主题,诠释新时代披荆斩棘内核,结合户外试炼与舞台公演,从“一个人的点燃到一群人的共燃”,记录嘉宾点燃自我、彼此照亮、群体共燃的成长历程,向外传递破局勇气与正向暖意的积极价值观。 夸克:https://pan.quark.cn/s/d3b3a3212d43 📁 大小:NG 🏷 标签:#披荆斩棘 #综艺 #真人秀
👍1
名称:电视剧:我不是大师 (2026)李现/李一桐 更新至10集 描述:上官诚明全家惨遭天相派设局灭门,他化名潜伏,以牙还牙,以眼还眼,联手身陷泥淖却势要逆天改命的江飞燕,用连环骗局反噬仇敌,一路揭露骗术黑幕,最终瓦解天相派,解救受控者,惩恶扬善终彰善念。 夸克:https://pan.quark.cn/s/61c36f4d6eec 📁 大小:N 🏷 标签:#电视剧 #我不是大师
👍1
名称:电视剧:法医秦明之龙番往事 (2026) 俞灏明 / 史策 / 王晓晨 /更新至11集 描述:故事发生在九十年代的北方石油小城龙番市。六十年代这里发现了石油,大量石油工人从全国各地汇聚而来。原本贫困的村庄逐渐变成了一座新兴的资源型城市,高楼大厦拔地而起。表面的繁华背后,油田和当地的关系却矛盾不断。石油带来了富足的生活,也让人心变得欲壑难填…… 夸克:https://pan.quark.cn/s/14c70b937365 📁 大小:N 🏷 标签:#电视剧 #法医秦明之龙番往事
👍1
名称:电视剧:一瓯春 (2026)许凯 / 周也 / 白澍 / 闵春晓 更新至23集 描述:“杀伐千面腹黑男”沈润与“人间清醒黑莲花”谢清圆互为刀刃交错,在理智与情感中携手复仇,于朝堂官场上搅弄风云,于高门大户里明争暗斗。最终他们走出暗流深渊,奔赴璀璨新生。 夸克:https://pan.quark.cn/s/27ebf5c0580f 📁 大小:N 🏷 标签:#电视剧 #一瓯春
👍1
名称:林叶 2026 -《片段》 纯银压盘 母带德国制作 低速抓轨 WAV 描述:01. 默默向上游 02. 第一次 03. 一片痴 04. 你在何地 05. 寂寞夜晚 06. 想你 07. 抵抗夜寒 08. 共同渡过 09. 有谁共鸣 10. 全赖有你 11. 风再起时 12. 片段 夸克:https://pan.quark.cn/s/d961f3794b65 📁 大小:N 🏷 标签:#音乐 #无损音乐 #华语
👍1
名称:嘉欣 - 容易受伤的女人 (港风女版) FLAC 描述:1.容易受伤的女人 (港风女版) 2.告诉我你爱我 (港风女版) - 嘉欣 3.红豆 (港风女版) 夸克:https://pan.quark.cn/s/49f6ef3f4afa 📁 大小:N 🏷 标签:#无损音乐 #音乐 #华语
👍1
名称:【原盘】三少爷的剑 (2016) 1080P REMUX 内封简繁特效字幕 描述:“剑气纵横三万里,一剑光寒十九洲”,神剑山庄三少爷谢晓峰(林更新 饰)惊才绝艳,十年来历经上千大战未尝一败,被天下人尊为“剑神”。传奇剑客燕十三(何润东 饰)一直以谢晓峰为目标,苦修剑道,终于在生死边缘悟出惊天地泣鬼神的“绝命十三剑”。一时之间,江湖沸腾,然而,就在燕十三赶到神剑山庄下战书的时候,迎接他的,却是三少爷谢晓峰的灵柩。燕十三因痛失对手大感失望,此时神秘女子慕容秋荻(江一燕 饰)出现并告知燕十三,谢晓峰并没有死,要想找到他决战,燕十三就必须要替她杀一个人…… 夸克:https://pan.quark.cn/s/1568c066fe5c 📁 大小:27.1GB 🏷 标签:#三少爷的剑 #动作 #武侠
👍1
Showing the 12 most recent of 2,065 posts we hold for @Quark_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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“夸克云盘影视资源频道” (@Quark_Movies), 106,058 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/Quark_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.