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Channel

电影资源频道(4K、REMUXE/原盘)

@jnjy_5

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

51,471subscribers

+6,278 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-1001941021574
TypeChannel
Username@jnjy_5
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/jnjy_5

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 21 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Growth

45,19351,47148,3326 August 20268 November 2026
64 measurements spanning 94 days, net +6,278. 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 44,251–52,413 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
8 Nov 2026, 02:5951,471+13
6 Nov 2026, 20:5651,458+2
5 Nov 2026, 23:0751,456-10
4 Nov 2026, 23:1651,466-2
3 Nov 2026, 21:2651,468-2
2 Nov 2026, 18:4851,470+8
1 Nov 2026, 15:5551,462+24
31 Oct 2026, 14:5051,438-10
30 Oct 2026, 15:5651,448+9
29 Oct 2026, 18:0151,439-4
28 Oct 2026, 18:5951,443+5
27 Oct 2026, 20:5651,438+1
26 Oct 2026, 19:2551,437+21
25 Oct 2026, 18:3651,416+43
24 Oct 2026, 16:1851,373-2
23 Oct 2026, 19:0051,375+23
22 Oct 2026, 18:4951,352+4
21 Oct 2026, 14:1751,348+36
20 Oct 2026, 09:1951,312+48
19 Oct 2026, 12:4051,264first reading

Engagement

775 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 190 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.31%
avg views ÷ 51,471 subscribers
Avg views / post
1,190
270 posts measured
Reaction rate
0.174%
reactions ÷ views · ER floor
Posts in window
270
of 775 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 195 of 270 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 7 November 2026
Posts held775 (4 August 2026 – 7 November 2026)
Views total321,286
Reactions total410
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 02:50 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

1,433 reactions across 471 posts, in 13 distinct kinds. The most used accounts for 38.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍55638.8%
❤54538.0%
🔥1127.82%
😁966.70%
🎉916.35%
🤬181.26%
👎50.349%
💩30.209%
🤮30.209%
👏10.07%
💯10.07%
🤣10.07%
🥰10.07%

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 513 of the 775 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 1,435 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 775 most recent posts we hold, published 4 August 2026 to 7 November 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

Telegram’s own ‘edited’ marker: 8 of 270 posts held from the last 30 days (2.96%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 14:35 UTC696 views3 reactionsread 8 November 2026
Photo

名称:鬼玩人6:炼狱 (2026) 4K HDR & Dv 内封简中字幕 描述:爱丽丝在丈夫骤然离世后深陷悲痛,受邀前往公婆的乡间庄园暂住,试图和丈夫的家人互相慰藉,一同走出丧亲的阴霾。可入住没多久,诡异状况便接连爆发,庄园里怪事频发,身边的亲人举止日渐反常。很快,恶灵诅咒席卷整座宅邸,身边的人一个接一个被侵蚀异化,变成面目焦黑、嗜血狂暴的死徒。她逐渐发现,当年婚礼上许下的婚姻誓言并未随丈夫的死亡消散,反而成了缠绕整个家族的恶灵契约。被困在庄园里的她,必须在亲人彻底沦陷前,在遍地死徒的绝境里拼杀求生。 链接:https://pan.quark.cn/s/de53de28d073 📁 大小:19.3GB 🏷 标签:#鬼玩人6 #悬疑 #恐怖 #奇幻 #苹果

👍2❤1

7 Nov 2026, 14:34 UTC630 viewsread 8 November 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://pan.quark.cn/s/c949d4da31a7 📁 大小:51.3GB 🏷 标签:#我要你的性 #喜剧 #爱情

7 Nov 2026, 14:33 UTC562 views1 reactionsread 8 November 2026
Photo

名称:生化危机:爆发夜 (2026) 4K HDR & Dv 内封简中字幕 描述:奉命奔赴浣熊市的医疗速递员布莱恩,意外深陷全城失控的病毒浩劫。浣熊市彻底沦陷,异变怪物横行肆虐、嗜血猎捕,身陷末日绝境的他,能否在这场惊魂噩梦中突围求生,搏出一线生机? 链接:https://pan.quark.cn/s/c5136823be2c 📁 大小:16.2GB 🏷 标签:#生化危机:爆发夜 #科幻 #惊悚 #冒险 #AMZN

👍1

7 Nov 2026, 14:32 UTC502 views1 reactionsread 8 November 2026
Photo

名称:狙击手·白乌鸦 (2022) 1080P 中字外挂字幕 描述:一名乌克兰物理老师,为了躲避战乱带着怀孕到乡下居住。一天入侵者来到这里,杀死了他的妻子,并将他的家夷为平地。康复后,他做了一个重要的决定,加入了军队的狙击连,向杀害妻子的凶手展开复仇行动。 链接:https://pan.quark.cn/s/867aa8f70f02 📁 大小:12.27GB 🏷 标签:#动作 #战争 #狙击手·白乌鸦

👍1

7 Nov 2026, 14:31 UTC465 views2 reactionsread 8 November 2026
Photo

名称:海啸奇迹 (2012) 1080P 国英双音轨 中字内嵌字幕 描述:本片取材于2004年印度洋海啸时发生的一桩真实事件。玛莉雅(娜奥米·沃茨 Naomi Watts 饰)和亨利(伊万·麦克格雷格 Ewan McGregor 饰)带着三个儿子,一同前往泰国共渡圣诞佳节,不料就在圣诞节隔天,当这幸福的一家人在泳池旁享受着悠闲时光时,一股猛兽般的万呎滔天巨浪竟迎面袭来。被眼前景象震慑住的玛莉雅,一时反应不及,不幸惨遭巨浪袭卷;而尽管亨利及时抓住两个儿子准备逃亡, 一切仍旧太迟,凶猛的大水最后仍冲散了他们。 链接:https://pan.quark.cn/s/dc8b4e9c70f6 📁 大小:10.04GB 🏷 标签:#剧情 #家庭 #灾难 #海啸奇迹

❤1👍1

7 Nov 2026, 14:31 UTC446 views1 reactionsread 8 November 2026
Photo

名称:迷雾 (2007) 1080P BluRay 中字外挂字幕 描述:一座风景秀美的小镇被一场突如其来的浓雾瞬间淹没。雾中传来阵阵惨叫,人们惊慌失措地四处逃散。戴维和他的儿子与众多镇上的人被困在小镇超市里,等待雾的消散。浓雾并没有如期望的散开,而走进浓雾的人一去不返。浓雾逐渐露出了它狰狞的面目。恐惧、惊慌、挣扎、悲伤、绝望……人们的精神濒临崩溃。如何才能活着走出迷雾?面对超市里几近癫狂的人们和超市外吞噬一切、不可知的迷雾,戴维紧紧搂着儿子,开始了艰难的求生之路…… 链接:https://pan.quark.cn/s/ddf32c24451d 📁 大小:12.1GB 🏷 标签:#科幻 #惊悚 #恐怖 #迷雾

👍1

7 Nov 2026, 14:30 UTC422 views1 reactionsread 8 November 2026
Photo

名称:大象席地而坐 (2018) 1080P 中字外挂字幕 描述:满州里动物园有一头大象,每天坐在那里。为朋友出头的少年、为弟报仇的恶霸哥哥、身陷囹圄的女生,卡在世界灰暗的缝隙里无法脱身,却挣扎着去看大象。萧瑟寒冬的一天,绝望身影在不对称不平衡的影像中碰撞, 爆裂了压抑的沉郁,在粗糙布景、朦胧灯光的低成本制作中肆意蔓延。 链接:https://pan.quark.cn/s/50fa2cb21609 📁 大小:19.5GB 🏷 标签:#剧情 #大象席地而坐

👍1

7 Nov 2026, 14:30 UTC426 views1 reactionsread 8 November 2026
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名称:我是证人 (2015) 4K 描述:路小星(杨幂 饰)是一位初出茅庐的见习女警,她的弟弟死于一场意外,而作为见证人的路小星则双目失明。尽管失去了视觉,但路小星的其他感官却因此而意外的活跃起来,即便生活在黑暗之中,路小星却依旧能够敏感的感受到周遭的一举一动。一场车祸中,路小星成为了目击者,凭借着自己的特殊能力,她做出了证词,路小星绝佳的感官和记忆力吸引了老刑警鲁力(王景春 饰)的注意。林冲(鹿晗 饰)是车祸的另一位目击者,可奇怪的是,他所做出的证词恰恰和路小星的证词截然不同。一个是五感健全的普通人,一个是双目失明的盲人,究竟应该相信谁的证词?而又是谁在撒谎呢? 链接:https://pan.quark.cn/s/4e41df884590 📁 大小:11.82GB 🏷 标签:#剧情 #悬疑 #犯罪 #我是证人

👍1

7 Nov 2026, 14:29 UTC431 views1 reactionsread 8 November 2026
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名称:秦颂 (1996) 4K 高码 描述:战国末期,战火连绵,攻伐不断,百姓疾苦无人问津。秦国王子嬴政童年时困为赵国人质,好心的燕国女子将其与自己的儿子高渐离一同哺育成人。襄王驾崩,嬴政随使臣赶回秦国登基,两个好友也从此天各一方。成为秦王的嬴政(姜文 饰)号令三秦大军攻城略地,各国诸侯闻风丧胆。灭赵后,统一大 业指日可待。秦王念及旧日之情,希望找到高渐离(葛优 饰)谱作《秦颂》。高拒不从命,最终沦为阶下囚,却凭此机缘结识了美丽的栎阳公主(许晴 饰)。心怀妒嫉的王贲(王宁 饰)在高额头上留下耻辱的烙印。 链接:https://pan.quark.cn/s/d265d4606925 📁 大小:18.1GB 🏷 标签:#剧情 #历史 #古装 #秦颂

👍1

7 Nov 2026, 14:28 UTC520 views1 reactionsread 8 November 2026
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名称:魔法满屋 (2021) 4K HDR 国粤英多音轨 中字外挂字幕 描述:讲述一个非同寻常的家庭——马利加家族的故事,他们隐居在哥伦比亚的山区一座神奇的房子里,生活在一个充满活力的小镇:一个奇妙的、充满魅力的地方,奇迹谷。奇迹谷的魔力使这个家庭的每个孩子都拥有独特魔法天赋,从超强大神力到治愈他人的能力……除了米拉贝但是,当她发现围绕奇迹谷的魔法处于危险之中时,米拉贝下定决心,她这唯一无魔法天赋的马利加人,将成为这个特殊家庭的希望。 链接:https://pan.quark.cn/s/8cfaa61723ae 📁 大小:17.56GB 🏷 标签:#动画 #奇幻 #歌舞 #迪士尼

👍1

5 Nov 2026, 15:10 UTC≈1,830 viewsread 8 November 2026
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名称:旺卡 (2023) 4K HDR & Dv 中字外挂字幕 描述:影片聚焦经典之作《查理和巧克力工厂》的主人公威利·旺卡(提莫西·查拉梅 饰),这位年轻且天赋异禀的发明家、魔术师、巧克力制作师,是如何经历奇幻冒险,成长为观众挚爱的巧克力工厂掌门人的故事。 链接:https://pan.quark.cn/s/c27313e58499 📁 大小:16.5GB 🏷 标签:#喜剧 #歌舞 #奇幻 #旺卡

5 Nov 2026, 15:09 UTC≈1,660 viewsread 8 November 2026
Photo

名称:魔发奇缘 (2010) 4K HDR BluRay 国粤英多音轨 中字外挂字幕 描述:影片故事主角是位有着一头长发的女孩乐佩,她的头发受到魔法的控制,也因此她自幼居住在一座与世隔绝的高塔上,直到有一天,有一位痞子帅哥大盗弗林·莱德由于身手矫健,当他来到高塔下方,发现这高塔正是最佳的藏身处,于时他徒手爬上了高塔,殊不知高塔上原来有着一位美少女,一场奇缘就此展开。 链接:https://pan.quark.cn/s/5e5dcdb92df2 📁 大小:14.16GB 🏷 标签:#喜剧 #动画 #冒险 #魔发奇缘

Showing the 12 most recent of 775 posts we hold for @jnjy_5. 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

@jnjy_5 edited 8 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
19 August 2026
Most recent edit
16 October 2026

Posts recorded as deleted after publishing

We recorded 3 posts on @jnjy_5 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
23 September 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
0

Mentions

Named by 16 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“电影资源频道(4K、REMUXE/原盘)” (@jnjy_5), 51,471 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/jnjy_5.

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.