Telegram RegisterThe public register of Telegram
Telegram profile photo for 东南亚曝光

Channel

东南亚曝光

@fo388

3 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

52,618subscribers

+11,398 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-1001579179161
TypeChannel
Usernames@fo388 @pf588 @TRJ668899
Description新闻 曝光 柬埔寨 泰国 缅甸 菲律宾 东南亚 斯里兰卡 马来西亚 专注于东南亚华人圈最新动态资讯,揭秘灰产内幕,记录真实故事,追踪区域动态,让你看尽海外华人大小事。 投稿联系 @zjl6688 商务联系 @zjl6688
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 November 2026
Measurements held67
On Telegramt.me/fo388

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 3 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
@TRJ668899/288807 Aug 2026, 14:28 UTC@sucai6655/15325711 Aug 2026, 12:12 UTC1.004 days
@TRJ668899/288487 Aug 2026, 08:27 UTC@sucai6655/15325811 Aug 2026, 12:12 UTC1.004 days
@TRJ668899/2954120 Aug 2026, 12:26 UTC@sucai6655/15415721 Aug 2026, 14:08 UTC1.0026 hours
@sucai6655/15425522 Aug 2026, 14:48 UTC@TRJ668899/2967722 Aug 2026, 14:48 UTC1.00under a minute
@sucai6655/15425822 Aug 2026, 16:58 UTC@TRJ668899/2979124 Aug 2026, 15:28 UTC1.0047 hours
@sucai6655/1558909 Sept 2026, 09:22 UTC@TRJ668899/306339 Sept 2026, 09:51 UTC1.0028 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
@sucai66557 (7/7 hand-verifiable sample passed)1.0026 hours@sucai6655 (4–3)
@chigua20226 (6/6 hand-verifiable sample passed)1.0055 minutesthis entry (4–2)
@neihanA016 (6/6 hand-verifiable sample passed)1.006.5 hourseven

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. 9 of the 9 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 1,408 comparable posts for this entry, running 7 August 2026 to 20 October 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).

Recorded under the keys clone_mutual · clone_source, last confirmed 14 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.

Growth

40,35653,40446,88052,6187 August 202614 November 2026
67 measurements spanning 99 days, net +11,398. 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 38,399–55,361 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 67
Measured (UTC)SubscribersChange
14 Nov 2026, 11:2252,618no change
14 Nov 2026, 10:4852,618+746
12 Nov 2026, 01:2951,872-419
10 Nov 2026, 05:5052,291-367
8 Nov 2026, 15:4852,658-214
7 Nov 2026, 11:1652,872-307
6 Nov 2026, 08:1653,179-225
5 Nov 2026, 08:2953,404+1,882
4 Nov 2026, 05:5051,522-247
3 Nov 2026, 03:3651,769-104
2 Nov 2026, 04:3151,873+5,247
1 Nov 2026, 02:2046,626-224
31 Oct 2026, 05:3846,850-196
30 Oct 2026, 09:0647,046-287
29 Oct 2026, 12:3547,333+389
28 Oct 2026, 08:0146,944+765
27 Oct 2026, 07:3846,179-198
26 Oct 2026, 11:1046,377-248
25 Oct 2026, 11:0646,625-72
24 Oct 2026, 08:1646,697first reading

Engagement

1,574 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 198 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.50%
avg views ÷ 52,618 subscribers
Avg views / post
791
103 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
103
of 1,574 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 99 of 103 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 November 2026
Posts held1,574 (7 August 2026 – 14 November 2026)
Views total81,443
Reactions total1,070
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 23:23 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
≈25,700
Videos
≈3,380
Links
≈277

Lifetime counters from Telegram’s own channel header, read 14 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
1h 09m
Average length
12s

Measured directly from 345 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

10,421 reactions across 919 posts, in 13 distinct kinds. The most used accounts for 11.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,18911.4%
🥰1,18911.4%
👍1,18011.3%
🤩1,17411.3%
🎉1,16711.2%
❤‍🔥1,16411.2%
💯1,15211.1%
😍1,13210.9%
🔥1,06610.2%
👏30.029%
😁30.029%
⚡10.01%
🤯10.01%

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 920 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 10,421 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 6 September 2026 to 14 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 103 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).

14 Nov 2026, 14:46 UTC≈1,010 views10 reactionsread 14 November 2026
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14 Nov 2026, 14:41 UTC≈1,040 views10 reactionsread 14 November 2026
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据美国司法部 公告,FBI 联合欧洲刑警组织等多国执法机构开展代号为「龙卷风行动」的暗网犯罪打击行动,全球共逮捕 354 人,其中美国境内 132 人,查扣超过 2.34 亿美元现金及加密货币、约 5.7 吨非法毒品和 209 支枪支。此次行动覆盖 14 个国家,重点针对 Archetyp、Bohemia、Nemesis 等暗网市场的毒品卖家及买家。FBI 局长 Kash Patel 称,这是迄今规模最大的跨机构暗网毒品交易打击行动。 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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14 Nov 2026, 14:29 UTC≈1,010 views10 reactionsread 14 November 2026
Video

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14 Nov 2026, 14:11 UTC≈1,020 views10 reactionsread 14 November 2026
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微软 Outlook、Teams 全球宕机超 12 小时 微软 Outlook、Teams 和 Copilot 在 11 月 13 日仍处宕机状态,故障持续超过 12 小时,打乱全球企业与政府的通信。微软称原因在于服务器问题,未发现恶意活动,已扩大修复范围并看到回稳迹象。 澳大利亚、日本和美国部分政府机构受影响,欧交所 Euronext 邮件受阻,台湾有金融机构改用传真确认交易。这是微软 365 服务今年第二次中断。 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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14 Nov 2026, 13:41 UTC≈1,040 views10 reactionsread 14 November 2026
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#泰国资讯:芭堤雅抓获台湾籍通缉犯,身负15项通缉涉谋杀、洗钱及诈骗7000万泰铢 泰国警方近日在春武里府芭堤雅展开抓捕行动,成功逮捕一名50岁台湾籍男子 Teng Chi Chen。该男子在台湾身负15项通缉,涉及1起谋杀案、1起洗钱案以及13起诈骗案,涉嫌诈骗金额超过7000万泰铢。 据报道,嫌疑人此前逃往泰国,并将旅游签证转换为退休签证,长期在当地居留。期间,他还与两名泰国合伙人共同成立一家珠宝公司,并担任公司董事。 根据台湾方面提供的线索,驻泰台北经济文化办事处向泰国旅游警察通报相关情况。泰国警方随后锁定嫌疑人藏匿于春武里府芭堤雅邦拉蒙县农普鲁地区。 当地移民局先行撤销其签证,并联合旅游警察展开抓捕部署。11月12日下午5时许,嫌疑人走出住所时被警方当场逮捕。 警方目前正在调查其名下珠宝公司的银行账户及资金往来,排查是否存在利用公司转移犯罪所得的情况。不过,截至目前,尚未发现该公司与台湾方面的相关案件存在直接关…

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14 Nov 2026, 13:38 UTC≈1,050 views10 reactionsread 14 November 2026
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14 Nov 2026, 13:38 UTC≈1,010 views10 reactionsread 14 November 2026
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14 Nov 2026, 13:11 UTC≈1,060 views10 reactionsread 14 November 2026
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缅甸军方突袭仰光莱镇区Golden City公寓 抓捕网络诈骗人员 据当地消息,11月13日上午,缅甸军方突入仰光省莱镇区Golden City高级公寓区,封锁检查并带走从事网络诈骗(“杀猪盘”)的人员。目前被捕人数及国籍尚不清楚。 PS:不知道是不是充值了,没通报 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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14 Nov 2026, 12:41 UTC≈1,040 views10 reactionsread 14 November 2026
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美国查扣12亿美元被盗加密货币 美国联邦调查局(FBI)宣布,已查扣价值超过12亿美元的加密货币。这些资产来自上个月币安(Binance)遭遇的黑客攻击。 此次攻击造成约63亿美元损失,被认为是史上最大规模的加密货币盗窃案。FBI此前将攻击归咎于朝鲜黑客组织TraderTraitor。目前,美国政府与私营机构已合计冻结超过27亿美元被盗资产。 FBI还指控朝鲜利用劫持通讯软件、深度伪造视频等手段,在过去18个月另行窃取约4亿美元加密货币。 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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14 Nov 2026, 12:11 UTC≈1,070 views10 reactionsread 14 November 2026
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#国内资讯:庆阳打掉裸聊敲诈团伙抓获17人 警方提醒勿因羞耻沉默! 甘肃庆阳警方近日打掉一个裸聊敲诈团伙,17名犯罪嫌疑人被抓。该骗局以广告引流、录播视频诱导裸聊、木马窃取通讯录和隐私影像为链条,最后以"发给亲朋好友"相威胁索要钱财。 许多人第一反应是花钱消灾,但转账只会让对方视你为"还能继续榨"的对象,越给越多。屏幕那头的"艳遇"往往只是流水线剧本,真正值钱的筹码是手机里的通讯录和面子。 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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14 Nov 2026, 11:41 UTC≈1,030 views10 reactionsread 14 November 2026
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#群友投稿:小时候总以为公主都在城堡里,长大了才知道,公主都在包厢里,陪伴公主的也不是王子,而是王总。 她说她喜欢海,原来是王总的地中海;她说她喜欢小动物,原来是王总的宝马和路虎;她说她想要个家,后来我才知道,那是巴黎世家。算命先生说她命里有一劫,原来是王总送的保时捷。 20岁的她风华正茂,而20岁的我却穷困潦倒。她说她不喜欢钱,但感动她的每个瞬间都需要钱。后来我明白了,高冷女神并不是不爱笑,而是你的资产撑不起爱笑的她。 有些女孩并不是追来的,而是从一开始就已经确定了。或许大部分男生都注定留不住自己的白月光吧。你让她陪王子长大,她不如陪王总说说心里话。 兄弟们,努力敲键盘吧!女孩们不会一直风华正茂,我们也不会一直穷困潦倒。长江后浪推前浪,等你从一事无成的小伙变成王总时,你的温床和副驾,也会拥有别人心中的白月光。 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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14 Nov 2026, 11:11 UTC987 views11 reactionsread 14 November 2026
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#群友爆料:缅甸掸邦孟哈假日酒店往前一个村里,里面的人生不如死,都是被骗上去这个地方的。 有干军包的、股转的,当地保护伞是傣族兵,外号“少爷”。公司里面物业叫外号“阿峰”。 一天除了骂骂咧咧,你能干嘛?以为穿上本地服装就是本地人了吗?还有你那小三,外号“四姐”(本地人),说是当阳万海很有实力呢!你也就仗着你这个小三,在那山里面作威作福了。心情不好,连本地保安都打,真不怕哪天回来佤邦地区被绑了吗? 办公室所有人的照片,以及老板的照片,暂时就不发了。劝你早点把他们都放了,要不然下一步就是查你祖宗十八代。狗屁都不是的玩意儿,混东南亚那么多年,没听说物业管业绩的! 劝你早点放了他们。你也可以连夜转移,已经帮你上报老缅了。你那个窝呆不久,看看少爷保得住你么! 💥 东南亚 曝光 :@TRJ668899 💥投稿 爆料商务 :@ZJL6688

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Showing the 12 most recent of 1,574 posts we hold for @fo388. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 @svip
@bx666 · 463,105
#1
菲律宾华人事件
@svip40 · 129,420
#2
头条事件
@toutiaoshijian · 66,356
#3
柬埔寨華人信息
@jpz_888 · 12,123
#4
东南亚曝光吧(吃瓜)
@SB919 · 118,751
#5
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 87,633
#6
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 43,911
#7
今日全网曝光频道
@bg855 · 336,568
#8
吃瓜搞笑
@guagua · 72,548
#9
菲龙网新闻中文媒体【官方】
@feilongwang · 66,826
#10
《今日新闻》
@cctvPH · 126,638
#11
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 83,604
#12
热点新闻
@redian3 · 60,666
#13
东南亚挨打日记
@pyzcn · 222,544
#14
内涵搞笑🫥
@chiguahs · 107,453
#15
海外大事件(猎奇-吃瓜)
@aa144 · 34,543
#16
博度东南亚大事件 @bdtime
@bodutt · 65,721
#17
菲律宾华人事件
@feilvbinghuarenriji · 13,872
#18
斯里兰卡头条新闻曝光
@baoguangee · 197,174
#19
东南亚吃瓜🍉
@dny1577 · 4,980
#20
电影频道
@dianying1314 · 41,615
#21
中国悲剧档案官方频道
@newszg_official · 156,309
#22
新华社丨新闻曝光
@iiiik · 33,373
#23
(吃瓜)搞笑😐视频
@cgbg8 · 106,422
#24
海外大事件 @USD1
@usd1 · 254,821 (as read 27 August 2026)
#25
东南亚大事件/头条事件
@toutiao_4 · 1,066
#26
吃瓜新闻大曝光
@jiuboo · 13,878
#27
中文安危曝光🌸海外华人日记
@tghuarenba · 33,729
#28
海华大事件❖6U.com娱乐首选🅥
@bx777 · 28,961
#29
东南亚新闻💎
@vipn8888 · 58,129
#30
吃瓜东南亚头条㊖
@CG887 · 94,951
#31
迪拜新闻|华人资讯大曝光
@xinwen118 · 123,161
#32
阳光新闻|东南亚资讯
@xinwen1 · 95,384
#33
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,023
#34
东南亚悬赏-吃瓜中心
@dnyggg · 40,584
#35
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 215,602
#36
中文吃瓜中心沙雕日常 🍉
@chigua_a · 214,479
#37
soso东南亚-百科🌍
@ab100 · 124,216
#38
●菲律宾曝光●菲律宾新闻
@bii55 · 13,366
#39
东南亚曝光黑平台灰产绑架吃瓜
@TGPG999 · 4,552
#40
博彩大事件-曝光
@dsj0161 · 1,975
#41
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 81,569
#42
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,371
#43
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 234,829
#44
《迪拜曝光》迪拜新闻
@baoguangi · 9,967
#45
🔥西港房地租售信息网 💰诚盈实业🐟
@CYfangchan888 · 1,349
#46
南海龙宫洗浴
@NanHaiLG789 · 532
#47
Telo News 简体中文 - 加密货币|DeFi |Web3
@telonews_cn · 79,720
#48

Read from Telegram’s recommendation API, most recently 27 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.

吃瓜群众🍉
@chigua2022 · 193,681
Telegram ranks this channel #3 of 49 here — alongside 48 others — read 11 August 2026
柬埔寨新闻|海豹资讯曝光|cambodia news
@TGDSJ110 · 153,150
Telegram ranks this channel #13 of 49 here — alongside 48 others — read 14 August 2026
🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 56,087
Telegram ranks this channel #15 of 48 here — alongside 47 others — read 21 August 2026
中国悲剧档案官方频道
@newszg_official · 156,309
Telegram ranks this channel #25 of 52 here — alongside 51 others — read 12 August 2026
【吃瓜🍉&搞笑】
@GQSP9 · 56,615
Telegram ranks this channel #26 of 53 here — alongside 52 others — read 14 August 2026
东南亚大事件🅥
@dashijianx · 201,857
Telegram ranks this channel #27 of 41 here — alongside 40 others — read 11 August 2026
泰国新闻大事件🇹🇭
@fzjt0 · 119,184
Telegram ranks this channel #34 of 50 here — alongside 49 others — read 15 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 205,624
Telegram ranks this channel #36 of 48 here — alongside 47 others — read 14 August 2026
吃瓜东南亚头条㊖
@CG887 · 94,951
Telegram ranks this channel #43 of 72 here — alongside 71 others — read 15 August 2026
东南亚曝光吧(吃瓜)
@SB919 · 118,751
Telegram ranks this channel #62 of 68 here — alongside 67 others — read 14 August 2026
马来西亚新闻|华人资讯曝光|malaysia news
@malaixiyahuarenzixun · 64,523
Telegram ranks this channel #66 of 78 here — alongside 77 others — read 17 August 2026

This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚曝光” (@fo388), 52,618 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/fo388.

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.