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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

102,638subscribers

-77,385 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 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 October 2026
Measurements held37
Confirmed unchanged1 time, most recently 14 October 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

95,985182,926139,455.57 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 subscribers29 September 2026 — 135,248 subscribers5 October 2026 — 132,530 subscribers9 October 2026 — 107,105 subscribers13 October 2026 — 95,985 subscribers14 October 2026 — 102,638 subscribers102,6387 August 202614 October 2026
37 measurements spanning 68 days, net -77,385. 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 82,944–195,967 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
14 Oct 2026, 22:56102,638+6,653
13 Oct 2026, 16:5695,985-11,120
9 Oct 2026, 20:17107,105-25,425
5 Oct 2026, 14:35132,530-2,718
29 Sept 2026, 20:36135,248-10,755
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, 00:23166,992first reading

Engagement

2,280 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 141 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.84%
avg views ÷ 102,638 subscribers
Avg views / post
9,070
1,022 posts measured
Reaction rate
0.015%
reactions ÷ views · ER floor
Posts in window
1,022
of 2,280 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 4 of 1,022 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 14 October 2026
Posts held2,280 (7 August 2026 – 14 October 2026)
Views total9,273,717
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Oct 2026, 23:56 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
≈16,800
Videos
≈5,710
Links
≈2,640

Lifetime counters from Telegram’s own channel header, read 14 October 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 32m
Average length
21s

Measured directly from 434 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

4 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤375.0%
👍125.0%

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 4 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 4 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 15 September 2026 to 14 October 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

14 Oct 2026, 18:45 UTC≈8,140 viewsread 14 October 2026
Photo

#施振忠即将获释 菲移民局10月12日表示,将执行最高法院命令,施振忠(Joseph Sy)#缴纳90万比索保释金后 即可获释。 施振忠曾任环球镍业董事长,2025年8月从香港抵达马尼拉时被捕。移民局指其指纹与一名中国公民的移民记录吻合,怀疑他涉嫌冒充菲律宾人;施振忠则坚称自己是菲律宾公民。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 18:31 UTC≈10,300 viewsread 14 October 2026
Video

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14 Oct 2026, 17:46 UTC≈10,800 viewsread 14 October 2026
Photo

#施振忠即将获释 菲移民局10月12日表示,将执行最高法院命令,施振忠(Joseph Sy)#缴纳90万比索保释金后 即可获释。 施振忠曾任环球镍业董事长,2025年8月从香港抵达马尼拉时被捕。移民局指其指纹与一名中国公民的移民记录吻合,怀疑他涉嫌冒充菲律宾人;施振忠则坚称自己是菲律宾公民。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 17:46 UTC≈10,700 viewsread 14 October 2026
Photo

#老杜再露面 菲律宾前总统杜特尔特10月13日再次现身国际刑事法院(ICC),亲自出席针对其涉嫌危害人类罪案件的第四次状态会议。 此次会议属于庭前程序,主要讨论11月30日开庭后的陈述安排、证人数量及举证时间,并非正式审判。此前,ICC专家小组认定杜特尔特具备受审能力,开庭日期维持不变。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 17:14 UTC≈11,000 viewsread 14 October 2026
Video

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14 Oct 2026, 16:43 UTC≈8,410 viewsread 14 October 2026
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#近180名中国教师离菲 中国驻菲律宾大使井泉10月13日公开发声,批评近期针对华文教育和华文教师的攻击,并呼吁菲律宾各大学、孔子学院、华文学校及菲华社团不要受到恐吓,继续推动中菲教育与文化交流。 井泉在亚典耀大学孔子学院成立20周年活动上表示,将华文教育抹黑为中国的“统战工具”毫无根据。 中国驻菲使馆也发表声明,谴责针对华语教师的行为,呼吁各方维护教育与文化交流,避免中菲民间关系进一步疏远。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 16:43 UTC≈8,290 viewsread 14 October 2026
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#美国诈骗案 美国警方近日逮捕一名24岁中国籍男子孙祥波(音译,Xiangbo Sun),他涉嫌参与一项波及全美的诈骗行动,涉案金额超过100万美元,其中一名密歇根州老妇人在短短两个月内被骗近50万美元。 警方称,诈骗分子冒充美国联邦贸易委员会工作人员,谎称老妇人及其家人的身份信息遭盗用,诱骗她交出现金和金币。调查显示他涉嫌参与多地诈骗活动,目前已有两个州对其签发逮捕令。孙某在密歇根州面临相关盗窃指控,案件仍在调查中。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 16:18 UTC≈10,900 viewsread 14 October 2026
Video

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14 Oct 2026, 15:49 UTC≈16,300 viewsread 14 October 2026
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#华人防骗提醒 在菲遇到亲友被捕,有人声称认识移民局或国家调查局内部人员,交钱就能“马上放人”? 华人务必提高警惕,所谓“内部协调”“保证捞人”可能是骗局,稍不留神就会遭遇二次损失。 移民违规与刑事案件的处理程序不同,能否获释须视案件情况及法律程序而定,并非交钱就能解决。遇到拘留或调查问题,应通过正规渠道查询,并尽早咨询合格律师。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 15:49 UTC≈7,930 viewsread 14 October 2026
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#菲律宾非法矿产 10月12日下午约3时15分,东方民都洛省曼萨莱镇警方联合环境执法人员突击检查一处现场,逮捕3名涉嫌无证勘探的人员。 现场查获凿击枪、电动鼓风机、约50米延长电线、滑轮组件,以及疑似用于勘探的土壤和岩石样本。 目前,3人及相关物品已被带回警局,案件仍在调查中,具体是否违法有待进一步确认。 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

14 Oct 2026, 15:19 UTC≈10,200 views1 reactionsread 14 October 2026
Video

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Showing the 12 most recent of 2,280 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 · 102,535
#1
吃瓜频道
@chigua156 · 29,229
#2
东南亚大事件
@bx666 · 463,633
#3
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 148,539
#4
菲律宾华人事件
@svip40 · 129,515
#5
东南亚大事件-聚焦时事 @TX100
@tx100 · 152,695
#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 · 44,605
#8
内涵搞笑🫥
@chiguahs · 108,201
#9
缅甸妙瓦底大事件/曝光
@mwddsj · 4,951
#10
简易文案馆♥️ ͒
@jywag999 · 50,070
#11
吃瓜群众🍉
@chigua2022 · 200,067
#12
汉城海外素材 (🅢🅤🅒🅐🅘)
@sucai · 49,070
#13
海外大事件(猎奇-吃瓜)
@aa144 · 35,077
#14
全球精品素材
@taiwansucai223 · 11,269
#15
东南亚悬赏-吃瓜中心
@dnyggg · 43,134
#16
中国悲剧档案官方频道
@newszg_official · 159,656
#17
柬埔寨大事件
@blj77 · 173,922
#18
吃瓜群众/内涵段子/搞笑视频
@chigua186 · 19,420
#19
内涵段子 🔥搞笑视频 天🌐下
@neihanduanzi1 · 201,246
#20
吃瓜群众🍉
@chigua_e · 236,945
#21
海外素材库
@sucai1 · 59,748
#22
灵魂🫦文案馆
@wenanle · 4,918
#23
远见纹身、洗纹身、入珠、穿孔
@LanTattoo · 322
#24
DJ李想家-音乐制作工作室
@DJ_Lxj33333 · 2,054
#25
🍼美女头像壁纸素材🍼
@meinv00857 · 3,666
#26
DOGS Community
@dogs · 6,760,558
#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 · 308,498
Telegram ranks this channel #2 of 38 here — alongside 37 others — read 14 August 2026
曝光频道 @cctv3
@cctv3 · 102,535
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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“新闻频道 @cctv5” (@cctv5), 102,638 subscribers as measured 14 October 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.