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Telegram profile photo for 曝光频道 @cctv3

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 · Handles named that no longer answer · Telegram's recommendations · Cite this entry

146,246subscribers

-38,102 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 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 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 (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. 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

146,246187,292166,7697 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 subscribers13 August 2026 — 184,610 subscribers14 August 2026 — 183,316 subscribers16 August 2026 — 181,923 subscribers17 August 2026 — 181,032 subscribers18 August 2026 — 180,621 subscribers19 August 2026 — 179,654 subscribers20 August 2026 — 179,153 subscribers21 August 2026 — 178,485 subscribers22 August 2026 — 177,077 subscribers24 August 2026 — 175,757 subscribers25 August 2026 — 174,991 subscribers26 August 2026 — 174,460 subscribers27 August 2026 — 174,101 subscribers28 August 2026 — 173,356 subscribers29 August 2026 — 172,351 subscribers30 August 2026 — 171,547 subscribers31 August 2026 — 171,373 subscribers1 September 2026 — 168,576 subscribers2 September 2026 — 168,009 subscribers3 September 2026 — 167,461 subscribers5 September 2026 — 166,671 subscribers9 September 2026 — 164,591 subscribers11 September 2026 — 161,667 subscribers13 September 2026 — 159,535 subscribers15 September 2026 — 157,561 subscribers17 September 2026 — 155,887 subscribers25 September 2026 — 146,246 subscribers7 August 202625 September 2026
34 measurements spanning 49 days, net -38,102. 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 140,089–193,449 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 13:42146,246-9,641
17 Sept 2026, 06:41155,887-1,674
15 Sept 2026, 05:58157,561-1,974
13 Sept 2026, 14:01159,535-2,132
11 Sept 2026, 19:42161,667-2,924
9 Sept 2026, 04:56164,591-2,080
5 Sept 2026, 20:22166,671-790
3 Sept 2026, 20:57167,461-548
2 Sept 2026, 10:33168,009-567
1 Sept 2026, 13:03168,576-2,797
31 Aug 2026, 12:03171,373-174
30 Aug 2026, 14:28171,547-804
29 Aug 2026, 12:05172,351-1,005
28 Aug 2026, 10:06173,356-745
27 Aug 2026, 09:43174,101-359
26 Aug 2026, 12:16174,460-531
25 Aug 2026, 11:58174,991-766
24 Aug 2026, 10:38175,757-1,320
22 Aug 2026, 21:34177,077-1,408
21 Aug 2026, 09:46178,485first reading

Engagement

1,705 posts held, back to 6 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
5.65%
avg views ÷ 146,246 subscribers
Avg views / post
8,260
984 posts measured
Reaction rate
0.009%
reactions ÷ views · ER floor
Posts in window
984
of 1,705 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 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 held1,705 (6 August 2026 – 26 September 2026)
Views total8,125,857
Reactions total2
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
≈26,400
Videos
≈2,550
Links
≈8,990

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 25m
Average length
20s

Measured directly from 441 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 2 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≈10,700 viewsread 26 September 2026
Photo

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26 Sept 2026, 17:13 UTC≈10,500 viewsread 26 September 2026
Video

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26 Sept 2026, 16:16 UTC≈18,200 viewsread 26 September 2026
Video

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26 Sept 2026, 15:19 UTC≈10,600 viewsread 26 September 2026
Video

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26 Sept 2026, 14:53 UTC≈10,900 viewsread 26 September 2026
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26 Sept 2026, 14:53 UTC≈8,170 viewsread 26 September 2026
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26 Sept 2026, 14:18 UTC≈8,630 viewsread 26 September 2026
Video

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26 Sept 2026, 13:22 UTC≈9,950 viewsread 26 September 2026
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#曝光 #黑平台 #shwemyanmar 被爆扣押50万盈利 提现遭拒 有网友爆料称,黑平台“shwemyanmar”在其充值 6 万元并盈利至 60 万元后,仅允许提现 10 万元,剩余 50 万元被强制扣留拒绝出款。 随后平台客服将爆料人的 Telegram 账号直接拉黑。呼吁广大网友认清该平台黑吃黑套路,切勿上当受骗。 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

26 Sept 2026, 13:22 UTC≈8,170 viewsread 26 September 2026
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#网友投稿 #凤凰体育 我开云账户都是v10 正常用户 。电话受邀到凤凰体育 玩了几个月打到v10 存款大概几百万上千万 总体并未赢钱 在8月份最后一次存款五十多万左右 然后打百家乐到70万账户直接被封不给登陆 要求提供一堆资料 三条代理也直接不回复,所有凤凰体育的千万不要在相信他们说的,高层看到联系我协商处理不要因为一些代理抹黑公司。我是绝对正常且优质客户只玩百家乐 没有过其他下注且总体都是输钱 本月在开云也是输了三百多万,开云集团如果一直给这些黑钱代理这样运营也迟早出问题 资料泄漏 且一模一样的平台背书 请给个说法 ,凤凰的高层看到请小编联系我方式出来解决 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

26 Sept 2026, 13:15 UTC≈8,530 viewsread 26 September 2026
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【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, 12:46 UTC≈9,240 viewsread 26 September 2026
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#曝光 #黑平台 #天富娱乐 #提现造假 #充值即封号 红包诱入局、提现即封号、只进不出! 天富娱乐(天系列) 以高额充值赠送 + 免费红包为诱饵,充 10U 送 38U、仅设 1 倍流水,看似稳赚!玩家实测:领红包打到 21U 显示 “提现成功” 却不到账,客服诱你充值达标 充完直接维护、账号异常,再提已读不回、钱货两空!多名玩家充 10U 即被黑,所谓 “提现成功” 全是后台造假,只进不出、反复耍诈! 还在玩的立刻停手!此类平台数据全由后台操控,送的是数字、提的是真金,最后必遭收割! #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

26 Sept 2026, 12:46 UTC≈9,860 viewsread 26 September 2026
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#群友曝光 #Adsy诈骗平台 内部活动百分百30倍水,今天打了两支充值3000多U要下分5100U就被无故封禁帐户,存款什么都不要本金三倍流水,整个平台财务3万u不到 避雷 #网友投稿 ========================= ✔️曝光频道: @cctv3 ✔️新闻频道: @cctv5

Showing the 12 most recent of 1,705 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.

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 · 30,449
#1
新闻频道 @cctv5
@cctv5 · 146,003
#2
东南亚大事件
@bx666 · 467,845
#3
头条事件
@toutiaoshijian · 74,884
#4
东南亚华人情报站
@svip40 · 110,383
#5
东南亚沸点Time🥇
@vip35r · 47,471
#6
安危事件
@anwei2 · 34,725
#7
新华社丨新闻曝光
@iiiik · 49,140
#8
黑彩平台曝光
@heicaibaog · 84,393 (as read 11 August 2026)
#9
菲律宾华人事件
@feilvbinghuarenriji · 16,900
#10
新闻资讯
@BG_BG8 · 38,746
#11
最前线大事件曝光
@cctv_dy · 36,686
#12
海外头条-海外新闻-cctv
@aza520 · 3,283
#13
全网曝光|东南亚日记
@bbb1b · 348,524
#14
博度-东南亚曝光新闻
@bodu08 · 58,821
#15
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 305,773
#16
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,150
#17
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 7,908
#18
东南亚吃瓜🍉
@dny1577 · 5,364
#19
华人大事件-吃瓜新闻
@baoguang821 · 51,566
#20
东南亚新闻|斑马曝光|news
@Banma_xinwen · 91,805
#21
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,715
#22
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 939
#23
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 77,364
#24
东南亚大事件/头条事件
@toutiao_4 · 1,166
#25
菲龙网新闻中文媒体【官方】
@feilongwang · 92,276
#26
东南亚BC热点新闻
@baoguangqun110 · 37,625
#27
吃瓜新闻大曝光
@jiuboo · 20,848
#28
海外大事件(猎奇-吃瓜)
@aa144 · 35,291
#29
东南亚大事件
@kanxia · 500,222
#30
全网曝光
@quanwangbaoguangb · 148,210
#31
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 172,311
#32
新闻早班车🐾
@tg04277 · 33,845
#33
东南亚曝光联播-缅甸
@dnygplm1 · 35,844
#34
东南亚曝光/大事件
@dny099 · 75,081
#35
东南亚头条曝光频道(菲龙网)
@baoguang85 · 31,656
#36
柬埔寨头条事件️🅥
@HR8877 · 317,999
#37
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 236,958
#38
全球资讯曝光大事件
@nnccqq · 38,432
#39
《今日新闻》
@cctvPH · 190,942
#40
东南亚头条吃瓜
@svipzz · 89,708
#41
缅北悬赏通缉令(曝光)
@xinwen811 · 207,923
#42
今日聚焦曝光
@a0159 · 128,346
#43
东南亚挨打日记
@pyzcn · 220,166
#44
斯里兰卡头条新闻曝光
@baoguangee · 179,272
#45
东南亚 曝光 悬赏 新闻
@DNYXW008 · 79,700
#46
东南亚新闻💎
@vipn8888 · 67,457
#47
全球大事件/安危头条【华人曝光联盟】🐲
@qqdsj · 196,784
#48
柬埔寨西港大事件
@BG423 · 33,478
#49
菲龙网安危事件曝光
@flwph66 · 168,355
#50
阳光新闻|东南亚资讯
@xinwen1 · 104,937
#51
东南亚闯荡记🪐
@ac666 · 325,990
#52
中文曝光吧 安危头条吃瓜(接广告合作)🫥
@ZLWBG · 93,087
#53
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 143,918
#54
再看吴哥频道
@jpz_888 · 12,661
#55
吃瓜群众🍉
@chigua2022 · 201,027
#56
中文安危曝光🌸海外华人日记
@tghuarenba · 44,364
#57
柬埔寨西港曝光吃瓜新闻
@kaleminews · 207,918
#58
热点新闻
@redian3 · 60,292
#59
博民网官方曝光频道
@bominwang18 · 4,647
#60
迪拜新闻|华人资讯大曝光
@xinwen118 · 114,190
#61
海外大事件
@usd1 · 252,078 (as read 11 August 2026)
#62
海外素材库
@sucai1 · 104,012
#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 · 146,003
Telegram ranks this channel #1 of 27 here — alongside 26 others — read 12 August 2026
电影频道【SOTV】
@cctv1 · 308,989
Telegram ranks this channel #8 of 38 here — alongside 37 others — read 14 August 2026
全网曝光|东南亚日记
@bbb1b · 348,524
Telegram ranks this channel #63 of 63 here — alongside 62 others — read 10 August 2026

This channel appears in 3 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“曝光频道 @cctv3” (@cctv3), 146,246 subscribers as measured 25 September 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.