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Channel

今日曝光

@TGBG01

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

54,868subscribers

+4,607 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001790242134
TypeChannel
Username@TGBG01
Description新闻 资讯 , 曝光 骗子 黑平台 理性吃瓜真假自辨,希望大家有辨别能力 ☎️投稿/曝光: @daouy1 @Xuancc1 🍉吃瓜曝光: @TGBG01 🌟话社导航: @daohanghs 🤝商业合作: @daouy1 @Xuancc1
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/TGBG01

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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 1 other registered channel. 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
@TGBG01/58907 · this entry6 Aug 2026, 14:20 UTC@wenanhs1/323477 Aug 2026, 14:39 UTC1.0024 hours
@wenanhs1/322885 Aug 2026, 14:54 UTC@TGBG01/58920 · this entry6 Aug 2026, 18:11 UTC1.0027 hours
@wenanhs1/322895 Aug 2026, 14:54 UTC@TGBG01/58921 · this entry6 Aug 2026, 18:11 UTC1.0027 hours
@wenanhs1/322705 Aug 2026, 14:00 UTC@TGBG01/58936 · this entry7 Aug 2026, 13:32 UTC1.0048 hours
@TGBG01/58940 · this entry7 Aug 2026, 13:32 UTC@wenanhs1/323417 Aug 2026, 14:39 UTC1.0067 minutes
@wenanhs1/322735 Aug 2026, 14:00 UTC@TGBG01/58949 · this entry7 Aug 2026, 13:33 UTC1.0048 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@wenanhs17 (7/7 hand-verifiable sample passed)1.0027 hours@wenanhs1 (4–3)

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. 4 of the 4 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 38 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 2, the earliest publisher we hold is @wenanhs1. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 1 other registered channel, 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

45,81055,67650,7437 August 2026 — 50,261 subscribers8 August 2026 — 49,928 subscribers9 August 2026 — 49,652 subscribers10 August 2026 — 49,356 subscribers11 August 2026 — 48,917 subscribers12 August 2026 — 45,810 subscribers13 August 2026 — 49,530 subscribers14 August 2026 — 49,192 subscribers15 August 2026 — 48,815 subscribers17 August 2026 — 48,184 subscribers18 August 2026 — 47,948 subscribers19 August 2026 — 47,724 subscribers20 August 2026 — 47,476 subscribers21 August 2026 — 47,347 subscribers22 August 2026 — 50,007 subscribers24 August 2026 — 49,565 subscribers25 August 2026 — 49,340 subscribers26 August 2026 — 48,983 subscribers27 August 2026 — 53,730 subscribers28 August 2026 — 53,470 subscribers29 August 2026 — 52,988 subscribers30 August 2026 — 54,388 subscribers31 August 2026 — 54,084 subscribers1 September 2026 — 53,680 subscribers2 September 2026 — 53,172 subscribers3 September 2026 — 52,655 subscribers5 September 2026 — 51,940 subscribers8 September 2026 — 51,426 subscribers11 September 2026 — 53,315 subscribers13 September 2026 — 52,131 subscribers14 September 2026 — 55,676 subscribers16 September 2026 — 54,543 subscribers18 September 2026 — 54,868 subscribers54,8687 August 202618 September 2026
33 measurements spanning 42 days, net +4,607. 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 44,330–57,156 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 13:1654,868+325
16 Sept 2026, 08:0154,543-1,133
14 Sept 2026, 14:4155,676+3,545
13 Sept 2026, 01:0152,131-1,184
11 Sept 2026, 05:1953,315+1,889
8 Sept 2026, 09:1551,426-514
5 Sept 2026, 06:2151,940-715
3 Sept 2026, 14:1952,655-517
2 Sept 2026, 08:5653,172-508
1 Sept 2026, 08:0353,680-404
31 Aug 2026, 09:2854,084-304
30 Aug 2026, 09:3954,388+1,400
29 Aug 2026, 06:3752,988-482
28 Aug 2026, 07:3553,470-260
27 Aug 2026, 08:2553,730+4,747
26 Aug 2026, 06:5548,983-357
25 Aug 2026, 05:4749,340-225
24 Aug 2026, 07:3349,565-442
22 Aug 2026, 13:1550,007+2,660
21 Aug 2026, 07:1747,347first reading

Engagement

1,040 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
4.85%
avg views ÷ 54,868 subscribers
Avg views / post
2,660
643 posts measured
Reaction rate
0.045%
reactions ÷ views · ER floor
Posts in window
643
of 1,040 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 5 of 643 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 27 September 2026
Posts held1,040 (6 August 2026 – 27 September 2026)
Views total1,712,666
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 04:39 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
≈46,500
Videos
≈13,900
Links
≈18,800

Lifetime counters from Telegram’s own channel header, read 27 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 18m
Average length
18s

Measured directly from 457 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

7 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😢228.6%
❤114.3%
👎114.3%
👏114.3%
🔥114.3%
🤔114.3%

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 5 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 7 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 7 August 2026 to 27 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

27 Sept 2026, 04:02 UTC≈3,960 viewsread 27 September 2026
Photo

#网友投稿:曝光柬埔寨/磅湛7号园区/三期三号地/三楼黑公司!2025年 大老板:“欢啊”是福建省泉州市安溪县湖头镇福什么村?你们自己知道! 二老板:“毕啊”(福建人福建省泉州市安溪县湖头镇什么车你们自己知道 后勤:“大七”也是泉州安溪湖头 精聊大主管:“阿峰”,福建省泉州市安溪县湖头镇福**村。 园区里面食堂老板,外号叫“阿平”,小名叫“啊炮”福建省泉州市安溪县湖头镇现产贤堂。 这个公司是做美国精聊和国内色粉的,无恶不作,涉及买卖人口,打人只是家常便饭,电棍高压! 我是当时在你们公司遭受霸凌的众多受害者之一,你们知道我是谁。 我也知道你们住在马来西亚哪里,你之前,泰国的别墅也被封掉,限你们三天内出来给我一个说法,不然全部爆出来! ➖➖➖➖➖➖➖➖➖➖➖ 【今日曝光,侵权即删】 曝光投稿🌷:@Xuancc1 失联导航🌞:@daohanghs

27 Sept 2026, 04:02 UTC≈3,990 viewsread 27 September 2026
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27 Sept 2026, 04:02 UTC≈3,930 viewsread 27 September 2026
Video

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27 Sept 2026, 03:53 UTC12 viewsread 27 September 2026
Photo

网友投稿:缅甸三佛塔园区黑幕曝光 园区内几十家公司,十几栋楼,每栋楼 3 层,涉事 “888 公司”,老板都是中国人。 园区主管“大炮”,二老板“三喜”,里面不少打手和管理层还吸Du。 这个园区之前就被曝光过很多次,但各类暴行依旧没有收敛,被骗过来的人全部被非法关押,殴打、电击、小黑屋、水牢、关兵站、塞进狗笼,都是家常便饭。 男的一送进去先挨打,先来个下马威,还会给受害者看酷刑、伤人致死的视频用来吓唬人。 园区门口有持枪大兵二十四小时轮流看守,根本无法逃脱,当地武装和园区利益牵扯甚广,不敢让人逃跑。 长得好看的女生,会被送到园区会所,普通样貌的女生,和男生一样,被逼做诈骗敲键盘。 只要稍微敢反抗,就会遭受各种暴力虐待,很多被困的人被折磨到身体垮掉、精神失常。 这里的残忍程度不亚于当年的 KK 园区。 恳请国际反诈联盟、国际刑警还有中缅泰相关官方关注,出手打击这个罪恶园区,救出被困的国人,不要让这里变成地球上最黑…

27 Sept 2026, 03:52 UTC≈3,990 viewsread 27 September 2026
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柬埔寨监狱关押了数千名电诈人员 截至9月18日,柬埔寨共有4834人因涉及网络诈骗案件被羁押在全国23所监狱和改造中心,其中491人为柬埔寨人,4343人为外国人,涉及27个国籍。 人数最多的是柴桢省监狱,其次为西港、卜迭棉芷、第一改造中心和国公省监狱。 其中4168人已被检方正式指控,441人正在接受司法调查,194人已获判但判决尚未生效,另有31人判决已经生效。与此同时,77名国家警察因涉及电诈受到纪律处分,涉嫌刑事犯罪者则被移送法院处理。 ➖➖➖➖➖➖➖➖➖➖➖ 【今日曝光,侵权即删】 曝光投稿🌷:@Xuancc1 失联导航🌞:@daohanghs

27 Sept 2026, 03:52 UTC≈3,950 viewsread 27 September 2026
Video

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27 Sept 2026, 03:52 UTC≈3,960 viewsread 27 September 2026
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27 Sept 2026, 03:52 UTC≈3,950 viewsread 27 September 2026
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#网友分享:在柬的兄弟们,如果你们没钱、没护照,签证又逾期了,想回国的话,就不用再去大使馆咨询了,我已经帮你们问过了。 大使馆那边给我的说法是:护照丢了就补护照,签证逾期了就去移民局补签、交罚款;ID锁了,下载不了“中国领事”,就找朋友、找家人帮忙;没钱就找家里。总的意思就是,这些问题他们都不管。 所以,在柬的兄弟们如果想自首回国,就直接去大使馆对面的老地方,坐免费大巴去安置点就可以了,不用再去大使馆咨询。 ➖➖➖➖➖➖➖➖➖➖➖ 【今日曝光,侵权即删】 曝光投稿🌷:@Xuancc1 失联导航🌞:@daohanghs

27 Sept 2026, 03:52 UTC5 viewsread 27 September 2026
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#网友投稿:金三角特区金元宝3栋“华星公寓”,刚刚老挝警察和中国警察联合执法,直接冲进公寓开展精准抓捕,附近的兄弟都注意一下! 更新报道:华星公寓抓走了两个人,应该是带着名单来抓人。 ➖➖➖➖➖➖➖➖➖➖➖ 【今日曝光,侵权即删】 曝光投稿🌷:@Xuancc1 失联导航🌞:@daohanghs

26 Sept 2026, 14:56 UTC≈3,960 viewsread 27 September 2026
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26 Sept 2026, 14:56 UTC≈3,950 viewsread 27 September 2026
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26 Sept 2026, 14:56 UTC≈3,950 viewsread 27 September 2026
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Showing the 12 most recent of 1,040 posts we hold for @TGBG01. 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 edited after publishing

@TGBG01 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
20 August 2026
Most recent edit
20 August 2026

Mentions

Named by 3 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.

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.

东南亚大事件
@bx666 · 467,845
#1
人间清醒【文案馆】
@wenanhs1 · 30,878
#2
内涵搞笑🫥
@chiguahs · 110,022
#3
再看吴哥频道
@jpz_888 · 12,661
#4
头条事件
@toutiaoshijian · 74,884
#5
东南亚华人情报站
@svip40 · 110,383
#6
海外大事件(猎奇-吃瓜)
@aa144 · 35,291
#7
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,715
#8
美食素材
@meishisc · 30,528
#9
东南亚曝光吧(吃瓜)
@SB919 · 139,268
#10
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 93,598
#11
新闻资讯
@BG_BG8 · 38,746
#12
东南亚挨打日记
@pyzcn · 220,166
#13
黑彩平台曝光
@heicaibaog · 82,175 (as read 26 August 2026)
#14
海华大事件❖6U.com娱乐首选🅥
@bx777 · 43,100
#15
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 143,918
#16
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 77,364
#17
东南亚悬赏-吃瓜中心
@dnyggg · 43,934
#18
最前线大事件曝光
@cctv_dy · 36,686
#19
新华社丨新闻曝光
@iiiik · 49,140
#20
中文安危曝光🌸海外华人日记
@tghuarenba · 44,364
#21
💯【佳佳】美食素材圈💯
@sucai177 · 107,747
#22
海外大事件 @USD1
@usd1 · 254,404 (as read 26 August 2026)
#23
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 939
#24
东南亚大事件/头条事件
@toutiao_4 · 1,166
#25
全球资讯曝光大事件
@nnccqq · 38,432
#26
华人大事件-吃瓜新闻
@baoguang821 · 51,566
#27
西港日记 柬埔寨通
@xigang6 · 4,902
#28
soso东南亚-百科🌍
@ab100 · 133,901
#29
今日全网曝光频道
@bg833 · 291,863
#30
东南亚吃瓜🍉
@dny1577 · 5,364
#31
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 236,958
#32
菲龙网安危事件曝光
@flwph66 · 168,355
#33
斯里兰卡头条新闻曝光
@baoguangee · 179,272
#34
迪拜新闻|华人资讯大曝光
@xinwen118 · 114,190
#35
热点新闻
@redian3 · 60,292
#36
汉城DJ歌单(🅖🅔🅓🅐🅝)
@gedan · 10,466
#37
东南亚安危头条事件🅥
@AnWei08 · 52,278
#38
(吃瓜)搞笑😐视频
@cgbg8 · 103,458
#39
东南亚 曝光 悬赏 新闻
@DNYXW008 · 79,700
#40
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 72,699
#41
东南亚BC热点新闻
@baoguangqun110 · 37,625
#42
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 172,311
#43
东南亚头条曝光频道(菲龙网)
@baoguang85 · 31,656
#44
菲律宾大事件灰产新闻/曝光
@tg89aa · 137,688
#45
东南亚🇨🇿今日头条
@huohu158 · 205,209
#46
「DJ十七音乐私人订制」除@dj17 都是骗子
@dj17 · 113,188
#47
东南亚大事件
@kanxia · 500,222
#48
东南亚热点资讯
@rdzx0 · 108,708
#49
博度东南亚大事件 博彩行业资讯
@bodutt · 39,340
#50
东南亚安危曝光|西港日记
@ZYWX6 · 101,169
#51
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 58,575
#52
Telo News 简体中文 - 加密货币|DeFi |Web3
@telonews_cn · 83,174
#53
吴哥时报
@wgsb · 195,749 (as read 26 August 2026)
#54

Read from Telegram’s recommendation API, most recently 26 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.

内涵搞笑🫥
@chiguahs · 110,022
Telegram ranks this channel #13 of 55 here — alongside 54 others — read 14 August 2026
东南亚大事件
@w1666 · 102,034
Telegram ranks this channel #28 of 64 here — alongside 63 others — read 23 August 2026
Kajal Online Hub
@kajal_online_hub · 97,159
Telegram ranks this channel #54 of 79 here — alongside 78 others — read 14 August 2026
Аутсайдер UA
@outsiderukraine · 43,007
Telegram ranks this channel #71 of 80 here — alongside 79 others — read 28 August 2026
Crypto Whale Pumps
@Cryptowhalepump_official · 21,473
Telegram ranks this channel #71 of 71 here — alongside 70 others — read 24 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total, of which the 5 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“今日曝光” (@TGBG01), 54,868 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/TGBG01.

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.