Telegram RegisterThe public register of Telegram

Channel

4K影视屋(分屋)-蓝光无损电影

@dianying4K

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

85,381subscribers

+581 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-1001579771600
TypeChannel
Username@dianying4K
Description广告建议 @pinuo_bot
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/dianying4K

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

84,80085,38185,090.57 August 2026 — 84,800 subscribers7 August 2026 — 84,861 subscribers9 August 2026 — 84,985 subscribers10 August 2026 — 85,073 subscribers11 August 2026 — 85,142 subscribers12 August 2026 — 85,212 subscribers13 August 2026 — 85,257 subscribers14 August 2026 — 85,381 subscribers7 August 202614 August 2026
8 measurements spanning 8 days, net +581. 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 84,713–85,468 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 14:1685,381+124
13 Aug 2026, 04:0385,257+45
12 Aug 2026, 07:2485,212+70
11 Aug 2026, 06:3185,142+69
10 Aug 2026, 03:4285,073+88
9 Aug 2026, 02:3184,985+124
7 Aug 2026, 23:1384,861+61
7 Aug 2026, 01:4684,800first reading

Engagement

29 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 23 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.37%
avg views ÷ 85,381 subscribers
Avg views / post
2,880
29 posts measured
Reaction rate
0.066%
reactions ÷ views · ER floor
Posts in window
29
of 29 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 22 of 29 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 15 August 2026
Posts held29 (3 August 202615 August 2026)
Views total83,402
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 08:47 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
561
Videos
325
Links
706

Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
14m 24s
Average length
1m 19s

Measured directly from 11 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

44 reactions across 21 posts, in 4 distinct kinds. The most used accounts for 79.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3579.5%
👍715.9%
💩12.27%
🤔12.27%

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 22 of the 29 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 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 3 August 2026 to 15 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

15 Aug 2026, 06:54 UTC272 viewsread 15 August 2026
Video

📺 【中字】布拉德·皮特《野兽之心》正式预告【荒野生存/狗/大卫·阿耶/动作/JK·西蒙斯】 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

14 Aug 2026, 12:50 UTC≈1,280 views1 reactionsread 15 August 2026
Photo

Netflix悬疑惊悚新剧《鼠惑》发布新海报及预告。 金弘善(韩版《纸钞屋》)执导。 柳俊烈、薛景求、李奎炯主演。 讲述文载(柳俊烈 饰)是一位作家,因十年前欠下债务,他一直东躲西藏,过着隐居的日子。 一个自称“田鼠”的神秘人偷走了他的全部财产,甚至连他的姓名、长相和全部人生都强行剥夺。 文载拼命寻找真相时,当年的债主(薛景求 饰)也找上了门。为了追回损失,两人被迫结成同盟。而刑 警 顺勇(李奎炯 饰)也深入调查,三人将共同追捕这只隐匿在黑暗中的“田鼠”。 8月28日上线! 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

1

13 Aug 2026, 13:26 UTC≈2,220 viewsread 15 August 2026
Video

📺 日本动作大片《槐》前瞻预告 广濑爱丽丝主演 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

13 Aug 2026, 13:26 UTC≈2,180 viewsread 15 August 2026
Video

📺 电影《诈死游戏》正式预告 塞缪尔·杰克逊/伊娃·格林主演 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

11 Aug 2026, 04:23 UTC≈3,790 views1 reactionsread 15 August 2026
Video

📺 电影《纸老虎》首曝预告 斯嘉丽·约翰逊/亚当·德赖弗 主演 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

1

11 Aug 2026, 03:20 UTC≈3,640 views2 reactionsread 15 August 2026
Photo

名称:射雕英雄传(1994)【35集全】【4K.高码率】【中文字幕】【武侠/古装】【张智霖/朱茵】 描述:豆瓣9.0高分 故事发生在南宋末年,郭靖(张智霖 饰)和杨康(罗嘉良 饰)分别是郭家和杨家最后的传人,郭靖生长于大漠之中,受高人指点研习武艺,为人忠厚正直,而杨康则被金人完颜洪烈(王伟 饰)收养,成为了太子。 某日,郭靖南下,结识了名为黄蓉(朱茵 饰)的伶俐女子,随着时间的推移,两人之间情愫渐生,渐渐走到了一起。与此同时,郭靖更得到了北丐洪七公(刘丹 饰)和周伯通(黎耀祥 饰)的指点,分别习得了江湖失传已久的降龙十八掌及九阴真经。一次意外中,杨康得知了完颜洪烈正是自己的杀父仇人,然而,在利益的驱使下,他认贼作父,更联合邪恶的西毒欧阳锋(朱铁和 饰),企图从郭靖手上夺取武林秘籍。 夸克:https://pan.quark.cn/s/901e4340613c 百度:https://pan.baidu.com/s/1BuuNH

2

9 Aug 2026, 12:46 UTC≈4,420 views1 reactionsread 15 August 2026
Video

📺 震撼美味看饿了!沈腾+蒋奇明战争大片《欢迎来龙餐馆》美食特辑,8日-10日点映 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

1

9 Aug 2026, 12:46 UTC≈4,180 views1 reactionsread 15 August 2026
Video

📺 9.3分神作!皮克斯经典动画《机器人总动员》内地预告,定档08.19 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

1

7 Aug 2026, 22:21 UTC≈4,880 views8 reactionsread 15 August 2026
Forwarded from @vip115hotPhoto

名称:四大名著大合集 优酷最新4K超高清修复版 高码率 珍藏版 描述:中国四大名著电视剧是中国电视剧史上的经典之作,分别以《西游记》《三国演义》《水浒传》《红楼梦》为蓝本,展现了神话冒险、历史战争、江湖侠义和家族兴衰等不同主题。剧中人物形象鲜明,故事情节跌宕起伏,至今仍深受观众喜爱,成为一代又一代人的经典记忆。 夸克:https://pan.quark.cn/s/18eb42aad92c 百度:https://pan.baidu.com/s/1Y7ux4BTpbvtz4ha_YKwxgQ?pwd=Yu66 迅雷:https://pan.xunlei.com/s/VOyJK-14_XTPk_un4fE3PYNpA1?pwd=tffa 📁 大小:1.28TB 🏷 标签:#西游记 #水浒传 #三国演义 #红楼梦 #4K #高码率 #修复版

7👍1

7 Aug 2026, 15:09 UTC≈4,030 views3 reactionsread 15 August 2026
Forwarded from @vip115hotPhoto

名称: 美国狙击手 American Sniper (2014) 4K原盘REMUX 国英双语音轨 内封简英双语字幕 描述: 克里斯·凯尔(布莱德利·库珀 饰)原本是一名普通的美国牛仔,在“911”事件后以30岁“高龄”加入海豹突击队,成为伊拉克战场上的一名传奇狙击手。他在四次出征中射杀160名敌人,被队友称为“传奇”,但也因此被恐怖分子悬赏猎杀。战场上的巨大压力与身边战友的相继阵亡,让他在与妻子塔雅(西耶娜·米勒 饰)的婚姻中愈发行疏。尽管妻子多次恳求他退伍,凯尔仍抱着为战友复仇的信念最后一次出征。本片改编自克里斯·凯尔的同名自传,由克林特·伊斯特伍德执导,荣获第87届奥斯卡金像奖最佳影片提名。 链接: https://pan.quark.cn/s/be7435b00483 📁 大小:60G 🏷 标签: #动作 #传记 #战争 #剧情 #真实事件改编 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索

3

7 Aug 2026, 15:09 UTC≈3,300 views3 reactionsread 15 August 2026
Forwarded from @vip115hotPhoto

名称:星球大战:幻境 — 第九个绝地武士 (2026) 4K 杜比世界 全8集 日英多音轨 内封简繁字幕 描述:《星球大战:幻境 — 第九个绝地武士》是由Disney+制作的科幻动作动画剧集,讲述卡拉率领一支临时集结的绝地小队踏上征程,四处寻找更多志同道合的绝地武士,携手迎战势力不断扩张的军阀。故事延续《星球大战:幻境》的世界观,开启绝地武士全新的传奇篇章。 阿里:https://www.alipan.com/s/jpL7FsEAZTy 夸克:https://pan.quark.cn/s/5d64f2b3dce1 百度:https://pan.baidu.com/s/19UZhlWfI8tOWjQSlTmrTLA?pwd=1292 迅雷:https://pan.xunlei.com/s/VOzOnZHCR4e_wmmwaKDz8e-3A1?pwd=5kba 📁 大小:25.4GB 🏷 标签:#星球大战:幻境 — 第九个绝地

3

7 Aug 2026, 05:33 UTC≈3,410 viewsread 15 August 2026
Video

📺 剧集《头号目标:追捕萨达姆》正式预告 投稿: @pinuo_bot 资源搜索机器人bot👉:点击搜索 蘑菇影视Emby-30W+资源-秒开秒拖

Showing the 12 most recent of 29 posts we hold for @dianying4K. 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.

Citation-graph rank

Citation-graph rank — 464,666 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“4K影视屋(分屋)-蓝光无损电影” (@dianying4K), 85,381 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/dianying4K.

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.