Telegram RegisterThe public register of Telegram

Channel

曝光频道 @cctv3

@cctv3

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

185,243subscribers

+895 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-1001468929090
TypeChannel
Username@cctv3
Description🤝广告投放 @LaXin 👮‍♀️投稿联系 @cctv9
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cctv3

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
@cctv5/383497 Aug 2026, 02:56 UTC@cctv3/44256 · this entry7 Aug 2026, 02:58 UTC1.002 minutes
@cctv3/44258 · this entry7 Aug 2026, 03:12 UTC@cctv5/383517 Aug 2026, 03:42 UTC1.0029 minutes
@cctv3/44264 · this entry7 Aug 2026, 05:25 UTC@cctv5/383577 Aug 2026, 05:25 UTC1.00under a minute
@cctv5/383597 Aug 2026, 05:54 UTC@cctv3/44266 · this entry7 Aug 2026, 06:15 UTC1.0021 minutes
@cctv3/44268 · this entry7 Aug 2026, 06:23 UTC@cctv5/383617 Aug 2026, 06:24 UTC1.00under a minute
@cctv3/44284 · this entry7 Aug 2026, 12:11 UTC@cctv5/383777 Aug 2026, 12:11 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cctv515 (8/8 hand-verifiable sample passed)1.00under a minute@cctv5 (87)
@cctv19 (8/8 hand-verifiable sample passed)1.0024 hours@cctv1 (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. 15 of the 15 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 32 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. 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

184,348187,292185,8207 August 2026 — 184,348 subscribers8 August 2026 — 187,292 subscribers8 August 2026 — 186,908 subscribers9 August 2026 — 186,526 subscribers10 August 2026 — 186,042 subscribers11 August 2026 — 185,595 subscribers12 August 2026 — 185,243 subscribers185,2437 August 202612 August 2026
7 measurements spanning 5 days, net +895. 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 183,906–187,734 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:34185,243-352
11 Aug 2026, 15:55185,595-447
10 Aug 2026, 15:55186,042-484
9 Aug 2026, 18:21186,526-382
8 Aug 2026, 21:50186,908-384
8 Aug 2026, 00:18187,292+2,944
7 Aug 2026, 13:15184,348first reading

Engagement

186 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.19%
avg views ÷ 185,243 subscribers
Avg views / post
4,050
186 posts measured
Reaction rate
0.01%
reactions ÷ views · ER floor
Posts in window
186
of 186 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 1 of 186 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 held186 (6 August 202612 August 2026)
Views total753,286
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:01 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
25,500
Videos
2,530
Links
8,900

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
32m 55s
Average length
25s

Measured directly from 80 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 186 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 186 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 UTC≈1,040 viewsread 12 August 2026
Video

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12 Aug 2026, 16:12 UTC≈8,690 viewsread 12 August 2026
Video

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12 Aug 2026, 15:14 UTC≈8,690 viewsread 12 August 2026
Video

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12 Aug 2026, 14:15 UTC22 viewsread 12 August 2026
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#网友投稿 #曝光 被骗今额3万 垃圾诈骗犯 打 #聚合 的垃圾 收了钱 拿了号就跑路 #彩票 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

12 Aug 2026, 14:15 UTC166 viewsread 12 August 2026
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#网友投稿 #曝光 飞天集团抖音代刷一开始正常 #做单 后来说做不了 又补钱 补钱又做不了 做退款 也不退 收手续费 补了手续费 又让补 3k纯扔 大家小心裤兜吧 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

12 Aug 2026, 14:14 UTC21 viewsread 12 August 2026
Video

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12 Aug 2026, 13:44 UTC19 viewsread 12 August 2026
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#网友投稿 #曝光此人外号豹子,真名黄*,现在不打真名,给你时间凑钱,由于没有工作,多次找我借钱去南海赌博,赢了给家里转账,金额不多,2500,答应我好几次都没有准时归还,输钱的就说没钱,给了他好几次最后期限,手机也抵押给对面门面,他家里面的事,暂时不曝光,两天内没有还钱,之前在我这里转账二维码,后续再给你转几千人民币,我就不管是不是黑钱了,你在国内能不能安稳的生活就不关我的事,还不还钱,后续还有更多事都给你曝光出来 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

12 Aug 2026, 13:44 UTC20 viewsread 12 August 2026
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#网友投稿 #帮一个柬埔寨朋友投稿。她和她巴基斯坦男朋友在西哈努克城同居,昨天晚上趁她睡着了,把她的手机和现金,还有ABA的钱全部拿走了。并且把她的裸照和视频发布到Telegram的频道里,事后把她的手机摔坏,去威胁她本人。 她的男朋友没有护照,现在也没有工作,有什么事情我朋友都第一时间帮助她男朋友。 发这个稿主要是为了澄清,她男朋友在到处散布她的谣言,避免影响到她的正常生活,也让大家认清这个男人的真面目。 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

12 Aug 2026, 13:31 UTC19 viewsread 12 August 2026
Video

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12 Aug 2026, 13:18 UTC14 viewsread 12 August 2026
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#网友投稿 给大家避个雷。本人在该商家购买了80U的云端监听套餐,商家提供的飞机号在我的电脑登录后很快就报废了,账号无法正常使用。 随后我联系商家处理,经过沟通,对方明确表示可以退还50U。聊天记录里写得很清楚:"私信目前可以退,不是还没有开吗?" 之后我一直等待退款,结果已经过去7-8天了,对方开始故意不回复、不看消息,直接玩失踪。 如果一开始不能退款,就不要答应。既然已经承诺退款,就应该履行自己的承诺,而不是拖着客户,一天推一天。50U金额虽然不算大,但做人最基本的是诚信。今天是50U,明天是不是500U、5000U也一样?做生意靠的是信誉,而不是把客户的钱一直拖着。 聊天记录我都会保留,大家自己看看。 希望大家购买前擦亮眼睛,不要再遇到这种说话不算数、承诺不兑现的商家。 本帖仅根据本人实际交易经历和聊天记录进行陈述,相关截图均已保留,供大家参考,请大家自行判断。 #网友投稿 ===================

12 Aug 2026, 13:18 UTC≈11,800 viewsread 12 August 2026
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#网友投稿 #曝光在斯里兰卡的这个人,此狗是在一个公司做小招商,借钱不还,直接跑路了。哪个爹妈生出来这样的人也是可悲,出来混的连条狗都不如。我知道的都欠了不少钱,大家引以为戒。以后身份证也会给人查出来的 ,不要借一分钱给这个狗杂种,确定他是一个赌狗,今天已经离职跑路回国了,撒谎成瘾,以为跑路回国没有一点办法,人在做天在看。后期身份证给他查出来 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

12 Aug 2026, 13:12 UTC20 viewsread 12 August 2026
Video

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Showing the 12 most recent of 186 posts we hold for @cctv3. 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 — 1,053,814 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 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.

吃瓜频道
@chigua156 · 31,780
#1
新闻频道 @cctv5
@cctv5 · 180,914
#2
东南亚大事件
@bx666 · 467,600
#3
头条事件
@quanqiudashijian · 68,954
#4
东南亚华人情报站
@svip40 · 95,152
#5
东南亚沸点Time🥇
@vip35r · 40,503
#6
安危事件
@anwei2 · 39,444
#7
新华社丨新闻曝光
@iiiik · 45,978
#8
黑彩平台曝光
@heicaibaog · 84,062
#9
菲律宾华人事件
@feilvbinghuarenriji · 11,000
#10
新闻资讯
@BG_BG8 · 16,102
#11
最前线大事件曝光
@cctv_dy · 72,949
#12
海外头条-海外新闻-cctv
@aza520 · 3,291
#13
全网曝光|东南亚日记
@bbb1b · 310,022
#14
博度-东南亚曝光新闻
@bodu08 · 60,191
#15
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 305,392
#16
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,231
#17
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 10,966
#18
东南亚吃瓜🍉
@dny1577 · 5,702
#19
华人大事件-吃瓜新闻
@baoguang821 · 49,567
#20
东南亚新闻|斑马曝光|news
@Banma_xinwen · 97,508
#21
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 45,468
#22
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 952
#23
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 78,502
#24
东南亚大事件/头条事件
@toutiao_4 · 1,219
#25
菲龙网新闻中文媒体【官方】
@feilongwang · 91,611
#26
东南亚BC热点新闻
@baoguangqun110 · 49,031
#27
吃瓜新闻大曝光
@jiuboo · 34,561
#28
海外大事件(猎奇-吃瓜)
@aa144 · 35,068
#29
东南亚大事件
@kanxia · 450,313
#30
全网曝光
@quanwangbaoguangb · 124,613
#31
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 236,624
#32
新闻早班车🐾
@tg04277 · 61,877
#33
东南亚曝光联播-缅甸
@dnygplm1 · 43,840
#34
东南亚曝光/大事件
@dny099 · 65,881
#35
东南亚头条曝光频道(菲龙网)
@baoguang85 · 40,084
#36
柬埔寨头条事件️🅥
@HR8877 · 305,149
#37
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 242,756
#38
全球资讯曝光大事件
@nnccqq · 39,896
#39
《今日新闻》
@cctvPH · 229,820
#40
东南亚头条吃瓜
@svipzz · 45,149
#41
缅北悬赏通缉令(曝光)
@mbsss · 205,264
#42
今日聚焦曝光
@a0159 · 128,756
#43
东南亚挨打日记
@pyzcn · 218,850
#44
斯里兰卡头条新闻曝光
@baoguangee · 208,716
#45
东南亚 曝光 悬赏 新闻
@DNYXW008 · 144,743
#46
东南亚新闻💎
@vipn8888 · 79,835
#47
全球大事件/安危头条【华人曝光联盟】🐲
@qqdsj · 215,985
#48
柬埔寨西港大事件
@BG423 · 34,412
#49
柬埔寨新闻曝光
@flwph66 · 115,392
#50
阳光新闻|东南亚资讯
@xinwen1 · 88,004
#51
东南亚闯荡记🪐
@ac666 · 305,586
#52
中文曝光吧 安危头条吃瓜(接广告合作)🫥
@ZLWBG · 104,758
#53
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 142,628
#54
再看吴哥频道
@jpz_888 · 12,851
#55
吃瓜群众🍉
@chigua2022 · 202,494
#56
中文安危曝光🌸海外华人日记
@tghuarenba · 22,612
#57
柬埔寨西港曝光吃瓜新闻
@kaleminews · 82,561
#58
热点新闻
@redian3 · 60,957
#59
博民网官方曝光频道
@bominwang18 · 4,776
#60
迪拜新闻|华人资讯大曝光
@xinwen118 · 110,703
#61
海外大事件
@usd1 · 252,078 (as read 11 August 2026)
#62
海外素材库
@sucai1 · 108,672
#63

Read from Telegram’s recommendation API, most recently 11 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.

新闻频道 @cctv5
@cctv5 · 180,914
Telegram ranks this channel #1 of 27 here — alongside 26 others — read 12 August 2026
全网曝光|东南亚日记
@bbb1b · 310,022
Telegram ranks this channel #63 of 63 here — alongside 62 others — read 10 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“曝光频道 @cctv3” (@cctv3), 185,243 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cctv3.

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.