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Telegram profile photo for 新闻频道 @cctv5

Channel

新闻频道 @cctv5

@cctv5

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

146,003subscribers

-34,020 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-1001434006593
TypeChannel
Username@cctv5
Description🤝广告投放 @LaXin 👮‍♀️投稿联系 @cctv9
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/cctv5

Topic

Gambling & betting — 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 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 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
@cctv5/38349 · this entry7 Aug 2026, 02:56 UTC@cctv3/442567 Aug 2026, 02:58 UTC1.002 minutes
@cctv3/442587 Aug 2026, 03:12 UTC@cctv5/38351 · this entry7 Aug 2026, 03:42 UTC1.0029 minutes
@cctv3/442647 Aug 2026, 05:25 UTC@cctv5/38357 · this entry7 Aug 2026, 05:25 UTC1.00under a minute
@cctv5/38359 · this entry7 Aug 2026, 05:54 UTC@cctv3/442667 Aug 2026, 06:15 UTC1.0021 minutes
@cctv3/442687 Aug 2026, 06:23 UTC@cctv5/38361 · this entry7 Aug 2026, 06:24 UTC1.00under a minute
@cctv3/442847 Aug 2026, 12:11 UTC@cctv5/38377 · this entry7 Aug 2026, 12:11 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cctv315 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (8–7)
@cctv19 (8/8 hand-verifiable sample passed)1.0024 hours@cctv1 (7–2)

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. 14 of the 14 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 31 comparable posts for this entry, running 7 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. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 7 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

146,003182,926164,464.57 August 2026 — 180,023 subscribers8 August 2026 — 182,926 subscribers9 August 2026 — 182,498 subscribers10 August 2026 — 182,003 subscribers11 August 2026 — 181,372 subscribers12 August 2026 — 180,914 subscribers13 August 2026 — 180,451 subscribers14 August 2026 — 178,952 subscribers16 August 2026 — 176,829 subscribers17 August 2026 — 175,614 subscribers18 August 2026 — 174,929 subscribers19 August 2026 — 173,787 subscribers20 August 2026 — 172,804 subscribers21 August 2026 — 171,615 subscribers23 August 2026 — 170,109 subscribers24 August 2026 — 168,573 subscribers25 August 2026 — 167,735 subscribers27 August 2026 — 166,992 subscribers27 August 2026 — 166,682 subscribers28 August 2026 — 165,549 subscribers29 August 2026 — 164,671 subscribers30 August 2026 — 163,906 subscribers31 August 2026 — 163,010 subscribers1 September 2026 — 160,983 subscribers3 September 2026 — 160,101 subscribers4 September 2026 — 159,496 subscribers7 September 2026 — 157,721 subscribers10 September 2026 — 154,606 subscribers12 September 2026 — 152,389 subscribers14 September 2026 — 150,827 subscribers16 September 2026 — 148,640 subscribers18 September 2026 — 146,003 subscribers7 August 202618 September 2026
32 measurements spanning 42 days, net -34,020. 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 140,465–188,464 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 03:21146,003-2,637
16 Sept 2026, 00:19148,640-2,187
14 Sept 2026, 06:56150,827-1,562
12 Sept 2026, 17:58152,389-2,217
10 Sept 2026, 17:20154,606-3,115
7 Sept 2026, 15:37157,721-1,775
4 Sept 2026, 18:42159,496-605
3 Sept 2026, 05:53160,101-882
1 Sept 2026, 22:57160,983-2,027
31 Aug 2026, 22:15163,010-896
30 Aug 2026, 21:45163,906-765
29 Aug 2026, 21:55164,671-878
28 Aug 2026, 21:07165,549-1,133
27 Aug 2026, 23:44166,682-310
27 Aug 2026, 00:23166,992-743
25 Aug 2026, 21:35167,735-838
24 Aug 2026, 20:59168,573-1,536
23 Aug 2026, 08:47170,109-1,506
21 Aug 2026, 18:49171,615-1,189
20 Aug 2026, 17:42172,804first reading

Engagement

1,704 posts held, back to 7 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 105 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.43%
avg views ÷ 146,003 subscribers
Avg views / post
7,930
984 posts measured
Reaction rate
0.013%
reactions ÷ views · ER floor
Posts in window
985
of 1,704 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 6 of 984 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 26 September 2026
Posts held1,704 (7 August 2026 – 26 September 2026)
Views total7,804,207
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 21:09 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
≈16,500
Videos
≈5,700
Links
≈2,630

Lifetime counters from Telegram’s own channel header, read 26 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.

Video runtime
2h 37m
Average length
21s

Measured directly from 455 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

6 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6100.0%

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 6 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 6 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 27 August 2026 to 26 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

26 Sept 2026, 18:43 UTC≈12,700 viewsread 26 September 2026
Photo

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26 Sept 2026, 17:12 UTC≈11,700 viewsread 26 September 2026
Video

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26 Sept 2026, 16:17 UTC≈9,230 viewsread 26 September 2026
Video

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26 Sept 2026, 15:17 UTC≈8,790 viewsread 26 September 2026
Video

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26 Sept 2026, 14:54 UTC≈8,090 viewsread 26 September 2026
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26 Sept 2026, 14:54 UTC≈7,960 viewsread 26 September 2026
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26 Sept 2026, 14:17 UTC≈15,400 viewsread 26 September 2026
Video

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26 Sept 2026, 13:23 UTC≈7,950 viewsread 26 September 2026
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#华人区商场遭突查 突发!168商场再遭执法突查,多家店铺当场被贴封条🚨🚨🚨 8月11日,马尼拉岷伦洛华人区的168商场再次迎来执法行动,#大批马尼拉市许可证局人员进入商场,对部分店铺展开检查,并对部分商户执行关闭令。 至于此次到底有多少家店被关闭、具体因何违规,目前仍需等待马尼拉市政府进一步公布。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

26 Sept 2026, 13:23 UTC≈12,300 viewsread 26 September 2026
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#产业新闻 柬埔寨9月举办 #国际打击电诈大会 FBI或将参加🔥🔥🔥 柬埔寨将于9月23日至24日在金边主办“2026年打击网络诈骗国际会议”,旨在汇聚各国政府、国际组织及执法机构等多方力量,共同打击并切断跨国网络诈骗链条。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

26 Sept 2026, 13:15 UTC≈8,760 viewsread 26 September 2026
Video

【N1国际】U投首选平台|实力认证 |值得信赖! 😀😀😀😀😀😀⚡⚡⚡⚡⚡⚡⚡⚡ 😀注册网址: N1023.com 全网广告频道上押1️⃣0️⃣0️⃣0️⃣万😘 ⚡️8K国际U台 8k2948.com 福利好超高爆率! TG最大信誉平台 玩家首选综合🔤台 😘😘😘😘😘😘😘😘😘😘 😀每日返水高达🇺🇦☹️返水无上限 大额无忧! 气运之子:PP极速糖果 30U爆25000倍大奖75万U 😀 糖果大水:PP极速糖果 单注500爆得500万U巨奖😀 PG大水:玩家在麻将胡了2 拉出满屏八万 爆230万U 😀 麻将大水:PG电子麻将胡了2 玩家进关爆510万U😀 #大户首选 支持任意平台vip等级平移 首存日存均送 😀😀😀😀😀😀😀😀😀 USDT存出款 电子超高爆率!#电子真人0审核包出款 😳😁😉😚 无风控免实名 无需手机号 ⚡⚡⚡👍👍👍👍👍 😀Solaire千亿实体资本,菲律宾索莱尔 · 官方直营😘#真人视讯单注限红20万u一口 …

26 Sept 2026, 12:41 UTC≈10,800 viewsread 26 September 2026
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#菲媒报道 墨拉兰水道变“垃圾海”!300吨垃圾堵爆水道🚨🚨🚨 菲律宾马尼拉墨拉兰(Baclaran)近日出现严重垃圾堆积,一条连接巴兰玉计市与巴西市的重要水道几乎被垃圾覆盖,短短几天堆积超过300吨废弃物。 据当地环保部门介绍,持续强降雨期间,大量塑料袋、生活垃圾等随着雨水和海浪进入水道,最终形成严重堵塞。这条约1公里长的水道连接马尼拉湾,也是当地重要排水通道。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

26 Sept 2026, 12:41 UTC≈10,800 viewsread 26 September 2026
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#产业新闻 跨国追逃近两年!绑架 #网红雅典娜 嫌犯多次 #整容、换身份仍落网🔥🔥🔥 曾引发华人圈关注的菲律宾网红“雅典娜”孔丽梅绑架案再有进展。涉嫌参与策划多起跨国绑架案件的主要嫌疑人 #刘瀚文,已于2026年7月20日从美国被移交中国警方,结束近两年的跨国逃亡。 经过中美等多国执法部门持续协作,刘瀚文最终被押解回中国接受调查。随着其落网,相关跨国绑架案件背后的犯罪网络也正在进一步被揭开。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

Showing the 12 most recent of 1,704 posts we hold for @cctv5. 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.

Mentions

Named by 2 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

曝光频道 @cctv3
@cctv3 · 146,246
#1
吃瓜频道
@chigua156 · 30,449
#2
东南亚大事件
@bx666 · 467,845
#3
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 143,918
#4
东南亚华人情报站
@svip40 · 110,383
#5
东南亚大事件-聚焦时事 @TX100
@tx100 · 158,539
#6
海外大事件
@usd1 · 252,066 (as read 12 August 2026)
#7
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,715
#8
内涵搞笑🫥
@chiguahs · 110,022
#9
缅甸妙瓦底大事件/曝光
@mwddsj · 4,928
#10
简易文案馆♥️ ͒
@jywag999 · 51,098
#11
吃瓜群众🍉
@chigua2022 · 201,027
#12
汉城海外素材 (🅢🅤🅒🅐🅘)
@sucai · 50,046
#13
海外大事件(猎奇-吃瓜)
@aa144 · 35,291
#14
全球精品素材
@taiwansucai223 · 11,601
#15
东南亚悬赏-吃瓜中心
@dnyggg · 43,934
#16
中国悲剧档案官方频道
@newszg_official · 162,958
#17
柬埔寨大事件
@blj77 · 181,640
#18
吃瓜群众/内涵段子/搞笑视频
@chigua186 · 19,665
#19
内涵段子 🔥搞笑视频 天🌐下
@neihanduanzi1 · 226,296
#20
吃瓜群众🍉
@chigua_e · 227,506
#21
海外素材库
@sucai1 · 104,012
#22
灵魂🫦文案馆
@wenanle · 5,047
#23
远见纹身、洗纹身、入珠、穿孔
@LanTattoo · 332
#24
DJ李想家-音乐制作工作室
@DJ_Lxj33333 · 2,106
#25
🍼美女头像壁纸素材🍼
@meinv00857 · 3,669
#26
DOGS Community
@dogs · 7,065,215
#27

Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

电影频道【SOTV】
@cctv1 · 308,989
Telegram ranks this channel #2 of 38 here — alongside 37 others — read 14 August 2026
曝光频道 @cctv3
@cctv3 · 146,246
Telegram ranks this channel #2 of 63 here — alongside 62 others — read 11 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“新闻频道 @cctv5” (@cctv5), 146,003 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/cctv5.

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.