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Channel

点亮曝光吧️💥

@baoguangba0

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

120,255subscribers

-57,188 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-1002057803160
TypeChannel
Username@baoguangba0
Description#新闻发布 #行业新闻 #博彩热点 #曝光骗子 点亮曝光吧!!分享东南亚每日最新新闻资讯,关注本频道,让您第一时间了解行业信息和生活小技巧!! 投稿爆料【广告】联系 @bgtgobot
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/baoguangba0

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 78% 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 the other topics.

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 in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 10 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@pzbgfabu666/6304019 Aug 2026, 02:29 UTC@baoguangba0/46836 · this entry19 Aug 2026, 05:48 UTC1.003.3 hours
@pzbgfabu666/6345328 Aug 2026, 07:03 UTC@baoguangba0/47306 · this entry28 Aug 2026, 15:14 UTC1.008.2 hours
@baoguangba0/48895 · this entry26 Sept 2026, 13:38 UTC@pzbgfabu666/6581415 Oct 2026, 07:02 UTC1.0019 days
@pzbgfabu666/654426 Oct 2026, 13:02 UTC@baoguangba0/49389 · this entry6 Oct 2026, 14:22 UTC1.0079 minutes
@pzbgfabu666/654827 Oct 2026, 14:09 UTC@baoguangba0/49439 · this entry7 Oct 2026, 14:14 UTC1.005 minutes
@pzbgfabu666/6560410 Oct 2026, 13:28 UTC@baoguangba0/49613 · this entry10 Oct 2026, 14:20 UTC1.0052 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@pzbgfabu666163 (7/8 hand-verifiable sample passed)1.004.2 hours@pzbgfabu666 (149–14)
@baoguang2022146 (8/8 hand-verifiable sample passed)1.004.9 hours@baoguang2022 (122–24)
@quanwangbaoguangb134 (8/8 hand-verifiable sample passed)1.006 minutes@quanwangbaoguangb (77–57)
@dongnanya10852 (7/8 hand-verifiable sample passed)1.006 minutesthis entry (30–22)
@jrttbg33 (7/8 hand-verifiable sample passed)1.0015 hours@jrttbg (23–10)
@mianbeiy33 (8/8 hand-verifiable sample passed)1.0024 hours@mianbeiy (21–12)
@heicaibaog30 (8/8 hand-verifiable sample passed)1.0025 hours@heicaibaog (30–0)
@quanqiubaoliao28 (7/8 hand-verifiable sample passed)0.9922 hours@quanqiubaoliao (20–8)
@BG88627 (8/8 hand-verifiable sample passed)1.0031 hours@BG886 (27–0)
@xinwennx26 (8/8 hand-verifiable sample passed)1.003.7 hours@xinwennx (16–10)
@qqdsj23 (8/8 hand-verifiable sample passed)1.0017 hoursthis entry (12–11)
@xinwen6666621 (7/8 hand-verifiable sample passed)1.0022 hours@xinwen66666 (14–7)

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. 662 of the 662 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 839 comparable posts for this entry, running 7 August 2026 to 12 November 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).

Of the group of 10 channels, the one whose matching posts we hold earliest is @BG886. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 November 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.

Channels linked by matching posts

This channel is in a group of 10 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

111,679177,443144,561120,2557 August 202612 November 2026
64 measurements spanning 97 days, net -57,188. 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 101,814–187,308 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
12 Nov 2026, 10:49120,255-231
10 Nov 2026, 09:30120,486-47
8 Nov 2026, 19:07120,533-66
7 Nov 2026, 13:15120,599-61
6 Nov 2026, 15:48120,660-34
5 Nov 2026, 16:56120,694-56
4 Nov 2026, 18:09120,750-69
3 Nov 2026, 15:26120,819-51
2 Nov 2026, 16:07120,870+9,191
1 Nov 2026, 16:34111,679-8,013
31 Oct 2026, 17:05119,692-119
30 Oct 2026, 20:01119,811-177
29 Oct 2026, 18:29119,988-140
28 Oct 2026, 18:19120,128-178
27 Oct 2026, 20:37120,306-177
26 Oct 2026, 19:11120,483-141
25 Oct 2026, 16:15120,624-194
24 Oct 2026, 19:30120,818-151
23 Oct 2026, 16:00120,969-181
22 Oct 2026, 13:45121,150first reading

Engagement

965 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 200 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.934%
avg views ÷ 120,255 subscribers
Avg views / post
1,120
219 posts measured
Reaction rate
0.098%
reactions ÷ views · ER floor
Posts in window
219
of 965 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 2 of 219 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 13 November 2026
Posts held965 (7 August 2026 – 13 November 2026)
Views total246,104
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 16:29 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
≈33,900
Videos
≈3,610
Links
≈9,030

Lifetime counters from Telegram’s own channel header, read 13 November 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 05m
Average length
45s

Measured directly from 169 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

11 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤872.7%
⚡19.09%
🎉19.09%
🤩19.09%

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 12 of the 965 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 965 most recent posts we hold, published 7 August 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 219 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 14:22 UTC808 viewsread 13 November 2026
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#网友曝光 老板叫老华 老扳娘叫六六真名吴新茹 最黑暗的人口贩卖产业链 贩毒 这里没有灯火繁华 只有骗局 囚禁 勒索与无休止的转卖压诈 非法拘禁、电闸胁迫的重灾 无数受害者失联受虐 被迫作恶 求救无门 一旦出马输了錢 马上没收手机 不让联系任何人 超过还款时间会恶意催收 侮辱殴打到出人命 在泰国开了一家黑KTV、 买假酒 扣押30多个名媛工资 高达五百多万泰铢、其中九位服务员被公司害被告口供共同持有毒品、还换了服务员血染 2023年6月2日凌晨,泰国警方在曼谷辉煌区(Huai Khwang)突击检查一家名为“钻石KTV”的娱乐场所,现场逮捕了48名涉嫌参加毒品派对的中国籍游客。 被捕人员中包括30名男性和18名女性,警方在现场缴获了可卡因、K粉(氯胺酮)、摇头丸等多种毒品及吸毒工具。 自从出事后老华和她夫妻六六真名吴新茹 直接跑路不管客人不管员工 所有事情让客人员工自己负责 后面又跑到了柬埔寨拜林 LA赌场里…

13 Nov 2026, 14:20 UTC809 viewsread 13 November 2026
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shturl 的迎新福利、会员权益和代理政策吸引入局,按页面标注完成全部流水,达到领取福利的条件,自认没有违规套利。 爆料还质疑平台存在控盘,下注容易空枪。平台先用丰厚福利引诱玩家充值刷流水升级,等到条件达成,就临时改动规则,对接人员失联耍赖,是典型杀猪套路。提醒大家远离这个平台,不要投入资金。

13 Nov 2026, 14:18 UTC6 viewsread 13 November 2026
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#网友投稿 #T1体育 #夜空 T1体育,TG1-7Z-小天,以前也叫夜空,我入职T1公司20多天就离职了,我本来做得好好的,入职三四天就已经二十万盈利,就是因为这个组长私底下叫我一起搞公司钱,他一直给我洗脑,给我画饼,开始我是同意的,他叫我找个信得过的人一起搞,我给他介绍了一个,也上了一波假粉,那个钱是我叫人收的,后面想了一下,我他妈有业绩啊,我赚我的钱就够了,他搞公司钱等于是拿我的盈利去填他贪污的坑,这谁还陪他疯啊?后面我就提了离职,我拉我会员走,我和我会员说他坏话被他知道了来逼逼赖赖的,气急败坏不小心说漏嘴承认了自己贪污被我截图下来,粉确实是我上的,但是也是你叫我上的,钱是我拿的,也和你一起吃吃喝喝了,哦对,最后我回国机票钱也是你给,是你最后上的一波假粉我收的钱,还找我要了500,我谢谢你,最后还要跟我身边的人说要搞我家人,不好意思,我也有你家人信息,我真的想看看他能怎么搞我,拉黑他是因为想到他嘴脸就恶心,实在受不了,以…

13 Nov 2026, 14:16 UTC4 viewsread 13 November 2026
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#西港娱乐城 西港娱乐城说的是金山集团名下的三个大台子,刚开始玩就玩的PG,昨天第一天玩,朋友介绍的之前几万十万的都可以提现。 结果我今天凌晨爆了一个超级巨奖,200一拉直接爆了33W人民币约,等于50000u,结果提现的时候告诉我我下款U地址风控 ,需要审核等24小时,中间也一直在催促,结果我的账号突然就被强制下线冻结了,然后客服要求我提供上述资料,就明显已经被黑了。 这个西港娱乐城完全就是输不起,前面我朋友赢了1/2万给我朋友正常出我才来玩的,后面看我赢多了直接把我找借口黑掉了。

12 Nov 2026, 14:24 UTC10 viewsread 13 November 2026
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#美加墨体育 10月29号在Telegram上代理推这个网站,我全程玩电子,现在平台客服不让提现说是开着vpn定义为刷子,让继续充值提现金额解锁,我想问大陆用户不开vnp怎么上telegram,怎么知道这个平台

12 Nov 2026, 14:22 UTC11 viewsread 13 November 2026
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前期输了不少,上月底开始运气好转逐步回血,可就在这时平台直接卡住提款。去找客服沟通,对方表示无权处理,还不在意爆料曝光,事情一直搁置,钱款无法提出。 提醒大家,这类平台只接受充值,一旦玩家收回亏损或是盈利,就容易以各种方式压住资金,属于典型的黑盘,尽量远离,不要继续投入。

12 Nov 2026, 14:20 UTC7 viewsread 13 November 2026
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网友爆料一笔换汇纠纷,他和朋友合计转出一千六百 U 加上一千四百七十三 U,对方许诺当晚完成转账,钱款却一直没有到账。 隔日后对方说辞是对接的为克隆账号、账号被盗。爆料人并不认同这个解释,称此前还可以查到多笔换汇的聊天记录,对方出示的截图不足以佐证这套说法。 私下换汇本身风险极高,很容易碰到盗号、克隆账号以及直接黑钱跑路的情况,提醒换汇从业者多加小心。

12 Nov 2026, 14:18 UTC5 viewsread 13 November 2026
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#66U黑平台 #黑款2万U 66U黑台子,充值10000U提现20000U,直接被卡住,没有说任何理由,在线客服只会说审核部门正在审核,已经过去36个小时,客服爱理不理的,连本金都不给,在66U玩大的用户注意了,不用被骗了,赶快换个可靠台子, 66U.COM 认准黑台子!

11 Nov 2026, 14:20 UTC19 viewsread 12 November 2026
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#MK体育 本人第一次游玩开云下面的MK体育通宵玩的lol世界赛,直接黑我9000多,大家避雷一下我的账号vx0380825

11 Nov 2026, 14:18 UTC15 viewsread 12 November 2026
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银河娱乐城黑掉五万资金,平台引诱受害人下载专属 APP,一旦充值,随时封停账户。出事之后客服直接拉黑,还屏蔽用户 IP,切断所有沟通渠道。 这类平台只进不出,所谓提款通道全是幌子,只要大额投入,就会用各种手段卷走资金。提醒正在这个平台的人尽快抽身,不要继续充值。网络赌博平台不受任何保障,一旦入局很容易血本无归。

11 Nov 2026, 14:16 UTC12 viewsread 12 November 2026
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网友曝光 木姐青树街下方、靠近 98 宾馆一处赌摊,摊主是一名汉族男子,样貌看着三十至四十岁,摊子仅有三处赌位。爆料人称下注赢十万缅币,对方却耍赖不认账,即便筹码就在一旁,依旧拒绝兑付。

11 Nov 2026, 14:14 UTC10 viewsread 12 November 2026
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#黑平台曝光 #66U黑平台 #黑款2万U 66U是原来西湖改为66U,充值10000U提款20000U,全部玩百家乐BBIN,一次下注5000U,分了两次赚了10000U,提款说要审核部门审核,这不妥妥的杀猪吗? 把玩家当猪宰,没想到这种环境还这样杀玩家,玩过这么多平台,这是最黑的一个。请大家一定避雷!黑平台网址:66U.COM 有在玩的一定要小心!!!

Showing the 12 most recent of 965 posts we hold for @baoguangba0. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @baoguangba0 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
13 October 2026
Most recent seen missing
13 October 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
0

Mentions

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.

今日头条 曝光频道
@jrttbg · 117,696
#1
东南亚曝光(吃瓜)
@dongnanya108 · 108,746
#2
全网曝光
@quanwangbaoguangb · 126,615
#3
heicaibaog
@heicaibaog · 10
#4
最前线大事件曝光
@cctv_dy · 21,774
#5
新闻资讯
@BG_BG8 · 32,534
#6
迪拜大事件【阿Q资讯】
@AQzx_3 · 81,360
#7
菲律宾大事件
@dnydxw · 66,607
#8
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 231,965
#9
东南亚曝光/大事件
@dny099 · 197,366
#10
菲龙网头条新闻资讯
@flwph66 · 230,567
#11
亚太大事件【阿Q资讯】
@AQzx_2 · 74,642
#12
全球资讯曝光大事件
@nnccqq · 37,422
#13
bg99599
@bg99599 · 26
#14
全网曝光|东南亚日记
@bbb1b · 307,244
#15
🅥世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 292,903
#16
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,245
#17
博度-东南亚曝光新闻
@bodu08 · 55,734
#18
东南亚大事件/曝光头条
@dnybgtt · 51,618
#19
迪拜大事件【新闻曝光】
@kz692nn · 122,484
#20
⚔️吃瓜曝光《缅北缅甸泰国》
@qqt13 · 198,141
#21
东南亚新闻|斑马曝光|news
@Banma_xinwen · 84,124
#22
柬埔寨西港大事件
@BG423 · 25,492
#23
东南亚事件 ❖盈丰娱乐冠名🅥
@GTR133 · 3,608
#24
博民网官方曝光频道
@bominwang18 · 4,528
#25
全球曝光求职
@AirdropVerifieSdss · 66,426
#26
安危事件
@flbhuarenquan · 73,728
#27
中文曝光吧 安危头条吃瓜(接广告合作)🫥
@ZLWBG · 97,479
#28
今日聚焦曝光
@a0159 · 109,050
#29
中文安危曝光🌸海外华人日记
@tghuarenba · 33,729
#30
东南亚安危曝光|西港日记
@ZYWX6 · 86,209
#31
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 6,641
#32
柬埔寨新闻《柬埔寨曝光》
@sii76 · 205,772
#33
【菲律宾新闻】最新爆光
@baoguang211 · 8,202
#34
缅北悬赏通缉令(曝光)
@xinwen811 · 209,506
#35
东南亚大曝光 ❖盈丰娱乐冠名🅥
@oxkkk · 10,482
#36
东南亚快讯|海外曝光【9y.com冠名】
@DNYKX · 52,694
#37
海华大事件❖6U.com娱乐首选🅥
@bx777 · 29,818
#38
🇦🇪迪拜大事件|迪拜新闻|DuBai News
@Gaosl · 997
#39
迪拜/东南亚/大事件曝光生活资讯攻略
@tingyu0002 · 215,472
#40
热点新闻
@redian3 · 61,018
#41
博彩黑平台曝光🔍
@uuuuuf · 166,388
#42
招聘求职
@zhaopinqiuzhi580 · 41,723
#43
《斯里兰卡求职》◒泰国代理&缅甸招聘
@xii34 · 99,999
#44
西港日记 / 东南亚新闻
@xigang13 · 58,151
#45
海外大事件(猎奇-吃瓜)
@aa144 · 34,577
#46
迪拜新闻|华人资讯曝光|dubai news
@Dubaihuarenzixun · 64,320
#47
东南亚头条吃瓜
@svipzz · 56,553
#48
东南亚新闻大事件
@bvl222 · 43,236
#49
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 67,906
#50
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 46,092
#51
全网曝光
@quanwangbaoguang0 · 164,756
#52
东南亚热点资讯
@rdzx0 · 87,083
#53
东南亚曝光(吃瓜)群|@XPPPP
@xpppp · 305,759
#54
生活素材包装【阿Q资讯】
@AQzx_7 · 67,381
#55
新闻大白话
@HR1231111 · 953
#56
东南亚新闻|缅北|金三角
@xigang1 · 38,781
#57
东南亚大事件丨78.com冠名
@w1666 · 34,384
#58
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 16,169
#59
迪拜新闻大事件
@uae918 · 77,001
#60
特区信息|技术频道
@VP2130123 · 3,728
#61
迪拜新闻🇦🇪
@dubaixinwen2 · 203,013
#62
Trading Pit Signal (OFFICIAL)
@tradingpitsignal01 · 17,469
#63

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.

今日头条 曝光频道
@jrttbg · 117,696
Telegram ranks this channel #4 of 68 here — alongside 67 others — read 12 August 2026
菲律宾大事件
@dnydxw · 66,607
Telegram ranks this channel #6 of 71 here — alongside 70 others — read 16 August 2026
全网吃瓜🍉
@aichiguaba · 246,184
Telegram ranks this channel #6 of 51 here — alongside 50 others — read 14 August 2026
东南亚曝光(吃瓜)
@dongnanya108 · 108,746
Telegram ranks this channel #6 of 66 here — alongside 65 others — read 12 August 2026
迪拜大事件【阿Q资讯】
@AQzx_3 · 81,360
Telegram ranks this channel #7 of 62 here — alongside 61 others — read 13 August 2026
亚太大事件【阿Q资讯】
@AQzx_2 · 74,642
Telegram ranks this channel #9 of 65 here — alongside 64 others — read 14 August 2026
新闻大事件【阿Q资讯】
@AQzx_1 · 146,806
Telegram ranks this channel #13 of 72 here — alongside 71 others — read 14 August 2026
东南亚大事件|头条新闻
@abc03 · 203,207
Telegram ranks this channel #20 of 34 here — alongside 33 others — read 17 August 2026
柬埔寨新闻头条【体育资讯】
@TTDR8 · 75,912
Telegram ranks this channel #21 of 75 here — alongside 74 others — read 18 August 2026
东南亚柬埔寨菲律宾华人新闻骗子曝光
@db2023dbg · 65,089
Telegram ranks this channel #23 of 65 here — alongside 64 others — read 13 August 2026
全球华人新闻吃瓜头条大曝光
@dnyqqbj · 93,025
Telegram ranks this channel #26 of 72 here — alongside 71 others — read 14 August 2026
全球|大事件|新闻|曝光|吃瓜
@bgtjt · 104,513
Telegram ranks this channel #27 of 69 here — alongside 68 others — read 16 August 2026
全球大事件曝光❖东南亚吃瓜新闻
@dsj665 · 115,998
Telegram ranks this channel #27 of 72 here — alongside 71 others — read 15 August 2026
迪拜黑料大曝光
@kk4568 · 100,089
Telegram ranks this channel #30 of 63 here — alongside 62 others — read 14 August 2026
迪拜新闻大事件-马来西亚吉隆坡吃瓜
@dnyuuu88 · 122,103
Telegram ranks this channel #36 of 63 here — alongside 62 others — read 14 August 2026
bg99599
@bg99599 · 26
Telegram ranks this channel #39 of 68 here — alongside 67 others — read 16 August 2026
全网曝光
@quanwangbaoguangb · 126,615
Telegram ranks this channel #39 of 70 here — alongside 69 others — read 13 August 2026
菲律宾大事件-东南亚曝光吃瓜记
@bx66664 · 137,026
Telegram ranks this channel #39 of 62 here — alongside 61 others — read 13 August 2026
《斯里兰卡求职》◒泰国代理&缅甸招聘
@xii34 · 99,999
Telegram ranks this channel #40 of 69 here — alongside 68 others — read 15 August 2026
吃瓜驿站😋🍉
@DNYQWCG · 73,243
Telegram ranks this channel #41 of 57 here — alongside 56 others — read 19 August 2026
东南亚头条曝光
@QQ888880000 · 95,040
Telegram ranks this channel #46 of 69 here — alongside 68 others — read 17 August 2026
菲龙网头条新闻资讯
@flwph66 · 230,567
Telegram ranks this channel #46 of 70 here — alongside 69 others — read 14 August 2026
迪拜新闻头条
@hyxw6 · 76,379
Telegram ranks this channel #53 of 65 here — alongside 64 others — read 18 August 2026
东南亚缅甸妙瓦底新闻|大事件|曝光|吃瓜|悬赏令
@qq2023bg · 54,967
Telegram ranks this channel #54 of 60 here — alongside 59 others — read 13 August 2026

This channel appears in 31 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 November 2026 — this entry's latest reading, not the date you are reading this.

“点亮曝光吧️💥” (@baoguangba0), 120,255 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/baoguangba0.

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.