Telegram RegisterThe public register of Telegram

Channel

电影频道【SOTV】

@cctv1

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

305,726subscribers

+1,116 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001070925398
TypeChannel
Username@cctv1
Description● @CCTV1 电影频道 主要发布 @SOTV 影视搜索动态及影视更新信息。 ● 频道内发布的预告内容仅为部分影视解说,更多完整资源通过 @SOTV 进行搜索观看。 🤝广告投放 @LaXin
CreatedBetween 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cctv1

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 81% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@cctv3/442647 Aug 2026, 05:25 UTC@cctv1/48665 · this entry7 Aug 2026, 05:44 UTC1.0019 minutes
@cctv3/442687 Aug 2026, 06:23 UTC@cctv1/48668 · this entry7 Aug 2026, 06:25 UTC1.0072 seconds
@cctv1/48679 · this entry7 Aug 2026, 08:53 UTC@cctv3/442747 Aug 2026, 08:54 UTC1.002 minutes
@cctv1/48634 · this entry6 Aug 2026, 13:11 UTC@cctv3/442867 Aug 2026, 13:11 UTC1.0024 hours
@cctv1/48637 · this entry6 Aug 2026, 14:14 UTC@cctv3/442907 Aug 2026, 14:14 UTC1.0024 hours
@cctv1/48641 · this entry6 Aug 2026, 15:12 UTC@cctv3/442927 Aug 2026, 15:14 UTC1.0024 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cctv39 (8/8 hand-verifiable sample passed)1.0024 hoursthis entry (72)
@cctv59 (8/8 hand-verifiable sample passed)1.0024 hoursthis entry (72)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 4 of the 4 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 50 comparable posts for this entry, running 6 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @cctv1 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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

304,610305,726305,1687 August 2026 — 304,610 subscribers7 August 2026 — 304,610 subscribers7 August 2026 — 304,788 subscribers8 August 2026 — 304,963 subscribers9 August 2026 — 305,188 subscribers10 August 2026 — 305,372 subscribers11 August 2026 — 305,577 subscribers12 August 2026 — 305,726 subscribers7 August 202612 August 2026
8 measurements spanning 5 days, net +1,116. 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 304,443–305,893 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:02305,726+149
11 Aug 2026, 11:07305,577+205
10 Aug 2026, 09:25305,372+184
9 Aug 2026, 12:36305,188+225
8 Aug 2026, 14:26304,963+175
7 Aug 2026, 16:56304,788+178
7 Aug 2026, 01:00304,610no change
7 Aug 2026, 00:56304,610first reading

Engagement

203 posts held, back to 6 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.56%
avg views ÷ 305,726 subscribers
Avg views / post
7,820
203 posts measured
Reaction rate
0.016%
reactions ÷ views · ER floor
Posts in window
203
of 203 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 139 of 203 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 12 August 2026
Posts held203 (6 August 202612 August 2026)
Views total1,587,536
Reactions total204
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:51 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
266
Videos
18,300
Links
584

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Video runtime
9h 38m
Average length
3m 42s

Measured directly from 156 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

204 reactions across 135 posts, in 3 distinct kinds. The most used accounts for 82.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍16982.8%
3115.2%
👎41.96%

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 139 of the 203 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 204reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 203 most recent posts we hold, published 6 August 2026 to 12 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

12 Aug 2026, 17:09 UTC433 viewsread 12 August 2026
Video

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12 Aug 2026, 16:13 UTC≈12,500 views1 reactionsread 12 August 2026
Video

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12 Aug 2026, 15:13 UTC≈14,500 views1 reactionsread 12 August 2026
Video

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12 Aug 2026, 14:20 UTC≈13,700 views2 reactionsread 12 August 2026
Video

《利刃出鞘3》万字精讲!网飞年末悬疑大作 #剧情 #喜剧 #悬疑 #惊悚 #犯罪 《#利刃出鞘3》 主演: 丹尼尔·克雷格 / 乔什·奥康纳 / 格伦·克洛斯 / 乔什·布洛林 / 米拉·库尼斯 剧情介绍:《利刃出鞘》系列第三部,黑暗程度更胜以往,大侦探布兰科(丹尼尔·克雷格 饰)再度出马,调查他有生以来最危险的案子。

1👍1

12 Aug 2026, 14:19 UTC≈13,500 views1 reactionsread 12 August 2026
Video

《战斧骨》西部片皮下的重度血腥恐怖:看四个硬汉如何勇闯食人族老巢 #电影 #恐怖 #西部 《 #战斧骨》 主演: 帕特里克·威尔森 / 库尔特·拉塞尔 / 莉莉·西蒙斯 / 肖恩·杨 / 扎恩·迈克拉农 剧情介绍:美国西部某个小镇,警长富兰克林·亨特(库尔特·拉塞尔 Kurt Russell 饰)夜晚射伤了一名可疑的流浪汉,随后他请来小镇医生萨曼莎(莉莉·西蒙斯 Lili Simmons 饰)为嫌疑人治疗。夜深人静,一名马夫遭到神秘入侵者残忍杀害,而嫌疑人和萨曼莎也消失无踪。富兰 克林深感事态严重,他召集萨曼莎的丈夫亚瑟·欧·德怀尔(帕特里克·威尔森 Patrick Wilson 饰)以及其他村民们在当地酒馆开会,进而得知昨晚的事可能是一个神秘的穴居人所为。这群野蛮人近亲通婚,甚至会吃掉包括亲生母亲在内的人类。虽然凶险无比,富兰克林以及其他勇士决心勇闯穴居人的老巢,救回被绑架的村民,这次征程凶多吉少……

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12 Aug 2026, 14:14 UTC≈4,180 viewsread 12 August 2026
Video

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12 Aug 2026, 13:31 UTC≈4,390 views1 reactionsread 12 August 2026
Video

《真心话大冒险》一口气看完一整部恐怖片。 #恐怖 #惊悚 《#真心话大冒险》 主演:泰勒·珀西、露西·海尔 剧情介绍:该片讲述了一群大学生狂欢期间偶然玩起真心话大冒险,不料一股邪灵也随之而来的故事。

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12 Aug 2026, 13:20 UTC≈13,600 views1 reactionsread 12 August 2026
Video

德影《落魄大厨》钢铁侠导演自导自演!小唐尼与斯嘉丽齐捧场的爆笑治愈佳作 #喜剧 #冒险 《#落魄大厨》 主演: 乔恩·费儒 / 约翰·雷吉扎莫 / 鲍比·坎纳瓦尔 / 斯嘉丽·约翰逊 剧情介绍:凯尔(乔恩·费儒 Jon Favreau 饰)从小就展现出了过人的烹饪天赋,长大后,他成为了洛杉矶一家知名餐厅的当家大厨,然而,这份工作并没有能够带给凯尔快乐,也无法满足他在烹饪方面的理想与抱负,因为他的老板(达斯汀·霍夫曼 Dustin Hoffman 饰)是一个既暴躁又强势的混蛋。

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12 Aug 2026, 13:12 UTC≈4,260 views1 reactionsread 12 August 2026
Video

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12 Aug 2026, 12:08 UTC≈14,600 views3 reactionsread 12 August 2026
Video

四位好莱坞巨星同框飙戏《激情邀约》开放关系VS守旧围城:一间客厅里的全员摊牌时刻! #电影 #剧情 #喜剧 #爱情 《 #激情邀约》 主演:塞斯·罗根 / 奥利维亚·王尔德 / 爱德华·诺顿 / 佩内洛普·克鲁兹 / 马里奥·瓦尔迪兹 剧情介绍:豆瓣评分8.1分。《高材生》导演时隔多年交出导演生涯最成熟作品,爱德华・诺顿(《无敌浩克》)、佩内洛普・克鲁兹(《加勒比海盗4》)、塞斯・罗根(《青蜂侠》)、奥利维亚・王尔德(《极速风流》)四位好莱坞一线巨星同框飙戏,餐桌对手戏张力拉满,每一句台词、每一个眼神全是戏,光是阵容就站在年度剧情片天花板。乔和安吉拉的婚姻早已走到岌岌可危的地步,关系薄如蝉翼。夫妻俩对住在楼上的神秘邻居充满好奇,也想给死水般的生活找点波澜,于是主动邀请对方来家里共进晚餐。随着晚宴推进,两对夫妻之间的试探、交锋不断升级,各自藏了多年的秘密接连浮出水面,原本看似普通的一顿晚饭,彻底滑向了所有人都意料不到的方向。

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12 Aug 2026, 12:03 UTC≈14,500 views2 reactionsread 12 August 2026
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😀😀彩娱乐😃😃😃全系-SG🙃😉😌😍🥰🥰😘😗 👋👀☀️ 🥺😢😠 🤢🤝👍 😱😰😮 ❤️‍🔥👋💝 ⭐️💵💶 😊 公平 公正 透明 是我们的合作原则 😊 诚信 共赢 长远 是我们的发展理念 😊 期待与您携手合作 共创未来 📱📱📱📱 📱📱📱📱 ❤️❤️ 代理时时反水 最高万300 ❤️❤️ 全网代理最高分红10-30% ❤️❤️ 优质飞单群主专属 你运营我投流 ❤️❤️ 代理助力金响不停1888 🥹🥲😊😉😍🥰😘🤪🫠😐🙄😧 超高赔率 9.99 邀请码: 586007 🥲☺️😊 https://9187.vip 🥲☺️😊 https://915176.vip 😇🙃😍 https://9166.app 🥰😘😚 @sg91a 😅😂🤣 @vip9191cyl

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12 Aug 2026, 11:38 UTC≈4,280 viewsread 12 August 2026
Video

主创爆笑新作《失策兄妹帮》“废柴兄妹”被迫混黑道越努力,越失策!荒诞兄妹如何在危险边缘极限作死 #电视剧 #喜剧 #犯罪 《 #失策兄妹帮 第一季》 主演:劳丽·梅特卡夫 / 丹·列维 / 泰勒·奥尔特加 / 艾比·奎因 / Jack Innanen 剧情介绍:因被勒索,极度无能的两兄妹被迫为几个危险分子效力,成了有组织的犯罪中最不靠谱的一对搭档。

Showing the 12 most recent of 203 posts we hold for @cctv1. 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 — 1,088,098 of 1,151,006entries 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.

Mentions

Named by 1 registered channel — 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.

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

“电影频道【SOTV】” (@cctv1), 305,726 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cctv1.

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.