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Telegram profile photo for 东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料

Channel

东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料

@quanqiubaoliao

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

143,454subscribers

-102,703 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-1001520328161
TypeChannel
Username@quanqiubaoliao
Description👉 👉 投稿通道 @aiLiuLiu5201314 @quanqiubaoguang6 商务合作 @aiLiuLiu5201314 一键加入十一个群组 https://t.me/addlist/ycq7PT_kkC1kNGFl 🌸美少女交流群 @meishaolv 🔥全球(菲 柬 迪 泰 缅 老挝)聊天群 @quanqiuliaotian666 🔥狗推🌍代理🎲 之家 @dailizhijia66
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 live8 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/quanqiubaoliao

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 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 word for word on 1 other registered channel. They sit inside a group of 5 channels that share the same post bodies 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinwen6666613 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (10–3)

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. 1 of the 1 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 27 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 5, the earliest publisher we hold is @xinwen66666. 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 4 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

108,890246,157177,523.5143,4547 August 20268 November 2026
61 measurements spanning 93 days, net -102,703. 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 88,300–266,747 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
8 Nov 2026, 01:45143,454+10,262
7 Nov 2026, 01:25133,192+11,328
6 Nov 2026, 01:21121,864+12,974
5 Nov 2026, 01:58108,890-558
4 Nov 2026, 03:58109,448-1,022
3 Nov 2026, 00:59110,470-366
2 Nov 2026, 02:56110,836-1,775
1 Nov 2026, 00:00112,611-1,445
31 Oct 2026, 00:20114,056-1,992
30 Oct 2026, 02:38116,048-4,338
29 Oct 2026, 03:29120,386-9,634
27 Oct 2026, 22:11130,020-1,337
26 Oct 2026, 20:36131,357-2,183
25 Oct 2026, 17:07133,540-1,533
24 Oct 2026, 16:45135,073-1,874
23 Oct 2026, 19:46136,947-16,167
22 Oct 2026, 21:46153,114-21,048
21 Oct 2026, 18:30174,162-2,360
20 Oct 2026, 13:31176,522-3,242
19 Oct 2026, 13:35179,764first reading

Engagement

2,523 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 190 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.17%
avg views ÷ 143,454 subscribers
Avg views / post
1,680
838 posts measured
Reaction rate
0.055%
reactions ÷ views · ER floor
Posts in window
838
of 2,523 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 140 of 838 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 7 November 2026
Posts held2,523 (6 August 2026 – 7 November 2026)
Views total1,410,307
Reactions total140
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 02:39 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
≈10,100
Links
≈23,600

Lifetime counters from Telegram’s own channel header, read 8 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
3h 04m
Average length
32s

Measured directly from 343 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

243 reactions across 225 posts, in 9 distinct kinds. The most used accounts for 14.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁3614.8%
❤3313.6%
👍3112.8%
🎉2610.7%
🔥2510.3%
⚡249.88%
👏249.88%
🥰239.47%
🤩218.64%

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 228 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 243 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 3 October 2026 to 7 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 838 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).

7 Nov 2026, 21:31 UTC≈2,770 viewsread 8 November 2026
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#马来西亚资讯:计划年内分阶段遣返5000名缅甸籍被拘留者,首批1476人已回国 马来西亚政府计划于2026年内分阶段遣返5000名缅甸籍被拘留人员。目前,首阶段遣返行动已经完成,共有1476名缅甸籍人员于9月29日顺利返回缅甸。 马来西亚内政部长拿督斯里赛夫丁·纳苏蒂安·伊斯梅尔(Saifuddin Nasution Ismail)指出,首批遣返人员在返回原籍国之前,已经完成身份识别、国籍核实及相关文件审核程序。 他是在回应国会议员有关2026年及2027年缅甸难民分阶段遣返目标的书面质询时,作出上述说明。 赛夫丁表示,马来西亚外交部将与内政部及相关执法机构继续加强与缅甸政府的直接外交磋商,协调后续遣返人员的身份确认、文件办理及接收安排,并根据两国的实际准备情况,确定下一阶段的遣返计划。 他强调,确认人员国籍以及取得原籍国接收确认,是确保遣返工作能够有序、持续推进的重要条件。 与此同时,马来西亚内政部将继续加强外籍人…

7 Nov 2026, 17:04 UTC49 viewsread 8 November 2026
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#群友反馈:刚刚西港海豚警察局里面一个狗推倒下了,没死在园区,却倒在了警察局!!!

7 Nov 2026, 17:00 UTC16 viewsread 8 November 2026
Forwarded from @FJD666666Photo

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7 Nov 2026, 16:00 UTC5 viewsread 8 November 2026
Forwarded from @FJD666666Video

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7 Nov 2026, 15:00 UTC7 viewsread 8 November 2026
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7 Nov 2026, 14:53 UTC20 viewsread 8 November 2026
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#群友投稿:人生就像一本早已写好大纲的书,至于中间经历什么,走过多少弯路,遇见多少风雨,没人能替你决定。 出生在什么时代,来自什么家庭,拥有什么天赋,这些或许是命运给出的开局。但往后的路,终究还是要自己走。选择什么样的生活,结交什么样的人,面对困难是坚持还是退缩,面对诱惑能不能守住底线,这些才是真正决定人生走向的东西。 尤其是在东南亚这些年,见过太多起起落落。刚来的时候满怀希望,总觉得只要肯拼,就能闯出一片天地。后来才慢慢明白,世事并不总如人所愿,钱财有得有失,关系有聚有散,曾经认定的路,也未必能一直走下去。 正所谓:命里有时终须有,命里无时莫强求。 可这并不是让人什么都不做,听天由命。该努力的时候不能懈怠,该清醒的时候不能糊涂,该放下的时候也别一味执着。 人生天地间,忽如远行客。 来这一趟,本就是风雨兼程。命运或许决定了故事的开头,但中间的每一次选择,都在悄悄改变结局。 走过的路没有白走,吃过的苦也未必都能换来回报。…

7 Nov 2026, 14:13 UTC20 views1 reactionsread 8 November 2026
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#新媒报道 #太子集团 #新加坡籍 女骨干落网‼️‼️ 昨天,新加坡警方在樟宜机场逮捕了涉嫌跨国诈骗犯罪的“太子集团”44岁新加坡籍女高管陈秀玲(Chen Xiuling,又名Karen Chen)。陈秀玲曾担任新加坡多家注册公司的董事,据信这些公司由太子集团创始人兼主席陈志实际控制。 警方指出,陈秀玲涉嫌于2022年9月教唆下属伪造协议并向裕廊集团(JTC)提交虚假文件以获取物业租赁权。2025年10月,陈秀玲在新加坡警方对其采取行动前潜逃至柬埔寨,后被发布逮捕令。 据悉,陈秀玲将被指控教唆伪造账目及企图欺诈两项罪名。若罪名成立,各项罪名最高可判处10年监禁及罚款。 自2026年6月以来,新加坡警方已针对太子集团追加扣押及禁售14处房产、多个银行与证券账户,价值约1亿新元。目前,新加坡当局在该案件中冻结和扣押的总资产规模已累计超过7亿新元(约合5.46亿美元)。相关调查仍在进行中。 ps:被收割了,政府才是最大的流…

⚡1

7 Nov 2026, 14:05 UTC5 viewsread 8 November 2026
Forwarded from @FJD666666Photo

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7 Nov 2026, 13:30 UTC24 viewsread 8 November 2026
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#菲律宾新闻 涉嫌技术间谍活动:一名中国籍工程师与两名菲籍同伙在菲律宾被捕 2025 年 1 月,一名中国籍男子和两名菲律宾公民在菲律宾马尼拉及其周边地区执行一项复杂的技术情报收集行动时被逮捕。 邓元清(Deng Yuanqing,音译)是一名软件工程师,隶属于位于中国南京的中国人民解放军陆军工程大学。在被捕之前,他已在菲律宾居住超过五年。 他与两名名为罗内尔·贝萨(Ronel Besa)和杰森·费尔南德斯(Jason Fernandez)的菲律宾籍同伙,驾驶一辆装载着专业设备的白色丰田 RAV-4 SUV 在吕宋岛各处穿梭,对周边地区进行地图绘制,并采集详细的照片及其他数据。该团队以“测试自动驾驶技术”为掩护开展活动。 根据一份官方新闻稿,在收到来自海军情报部门的情报报告后,当局于 2024 年 12 月开始对该团队展开调查。 官员宣布,他们在查获的设备中发现了博尼法西奥堡(Fort Bonifacio,菲律宾陆军总…

7 Nov 2026, 12:59 UTC12 viewsread 8 November 2026
Forwarded from @FJD666666Video

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7 Nov 2026, 12:24 UTC24 viewsread 8 November 2026
Photo

#网友曝光 #女恶魔 #黑玫瑰 #李磊 #岩瀬穗子 祖籍黑龙江,母亲是满洲日本殖民时期的后裔,也就是日本杂种,现移居日本改名:岩瀬穗子,此人早年在缅北和其男友在缅北卧虎山庄开设资金盘,一个盘收割了几个亿,后来移民日本,长住日本东京,在日本洗白,投资有滑雪旅馆,在长崎,北海道,大阪等均有产业,长期在幕后超控,其男友一直在东南亚做日本精聊日本公检法,挣得钱全部经过此女通过日本黑社会洗白然后购置大量房产。此雌雄大盗,堪称恶魔代名词,据悉死在他们盘口的狗推就不下10人,被打残废的不胜其数。波贝宝龙四四合院,波哥山3期,原菩萨15公顷等均有他们的盘口,长期贩卖人口,高压狗推,每天强制工作16-18小时。现在恳请中国政府出手调查她,让她日本绿卡注销,引渡回国。

7 Nov 2026, 12:04 UTC26 views1 reactionsread 8 November 2026
Video

#泰国资讯:廊开府抓获3名跨境电诈团伙女嫌疑人,企图逃往国外前落网 11月6日下午,泰国廊开府移民局展开抓捕行动,在泰老边境附近一处度假村内成功逮捕3名涉嫌参与跨境电信诈骗团伙的女性嫌疑人。3人均因涉嫌共同冒充他人实施诈骗等罪名,被泰国刑事法院签发逮捕令,落网时正伺机逃往国外。 据调查,该诈骗团伙此前已被泰国与老挝警方联合捣毁。团伙成员通过LINE、WhatsApp等通讯软件进行联系和指挥,并持有泰语诈骗话术、受害者名单,以及伪造的法院、检察院公文。 该团伙采用分工诈骗模式,第一组成员冒充移动通信运营商工作人员,谎称受害者电话号码涉及违法案件;随后由第二组成员冒充警察,指控受害者涉嫌洗钱,并以冻结银行账户、配合调查等理由进行恐吓,诱骗受害者转账。部分成员甚至穿着假警服进行视频通话,以增强欺骗性。 目前,泰国法院已针对该团伙32名嫌疑人签发逮捕令,此前已有17人被抓获,警方查获假警服、iPad、手机及诈骗脚本等相关证据。

😁1

Showing the 12 most recent of 2,523 posts we hold for @quanqiubaoliao. 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

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 1 registered channel — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

东南亚沸点Time🥇
@vip35r · 26,128
#1
今日头条
@jinritoutiao6 · 12,023
#2
菲律宾⚜️大事件
@dashijian01 · 25,101
#3
新华社丨新闻曝光
@iiiik · 33,702
#4
安危事件
@anwei2 · 32,612
#5
菲律宾华人事件
@feilvbinghuarenriji · 14,745
#6
海外头条-海外新闻-cctv
@aza520 · 3,242
#7
全球大事件🌍 「TIKTOK官方」
@qqdsj · 172,046
#8
头条事件
@toutiaoshijian · 66,790
#9
新闻早班车🐾
@tg04277 · 59,168
#10
东南亚曝光网
@baoheitai · 1,106
#11
东南亚头条吃瓜
@svipzz · 61,332
#12
东南亚吃瓜🍉
@dny1577 · 5,057
#13
最前线大事件曝光
@cctv_dy · 22,407
#14
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 902
#15
跑路人员曝光频道
@TG_368 · 10,600
#16
东南亚大事件/头条事件
@toutiao_4 · 1,087
#17
热点新闻
@redian3 · 63,308
#18
菲律宾头条爆料(Bole新闻)
@phnews · 17,123
#19
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,033
#20
柬埔寨西港曝光吃瓜新闻
@kaleminews · 190,431
#21
东南亚新闻💎
@vipn8888 · 58,017
#22
吃瓜新闻大曝光
@jiuboo · 14,079
#23
全网曝光
@quanwangbaoguangb · 127,350
#24
迪拜新闻|华人资讯大曝光
@xinwen118 · 121,807
#25
大象曝光|新闻
@dxdb001 · 4,757
#26
今日全网曝光频道
@bg855 · 344,483
#27
斯里兰卡头条新闻曝光
@baoguangee · 203,498
#28
中文安危曝光🌸海外华人日记
@tghuarenba · 32,426
#29
菲律宾华人事件
@svip40 · 131,034
#30
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 68,603
#31
heicaibaog
@heicaibaog · 10
#32
华人大事件-吃瓜新闻
@baoguang821 · 45,674
#33
博彩大事件-曝光
@dsj0161 · 1,986
#34
《今日新闻》
@cctvPH · 133,247
#35
东南亚BC热点新闻
@baoguangqun110 · 69,243
#36
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,793
#37
【菲律宾新闻】最新爆光
@baoguang211 · 8,363
#38
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,525
#39
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 235,247
#40
柬埔寨头条事件️🅥
@HR8877 · 322,623
#41
今日聚焦曝光
@a0159 · 87,628
#42
🇨🇳华人社东南亚大事件
@hrs166 · 37,782
#43
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 6,667
#44
菲龙网新闻|官方频道
@woaiui · 8,208
#45
菲律宾新闻频道
@baoguangqun999 · 68,190
#46
📣灰产圈新闻快讯
@Huichanquan588 · 435
#47
东南亚曝光/大事件
@dny099 · 204,737
#48
菲龙网新闻中文媒体【官方】
@feilongwang · 69,953
#49
Makati新闻社
@makatinews · 67,648
#50
安危头条/新闻头条
@dnyawtt · 48,131
#51
东南亚新闻|斑马曝光|news
@Banma_xinwen · 84,706
#52
华人头条大事件曝光
@huarenvvip · 31,923
#53
东南亚🇨🇿今日头条
@huohu158 · 191,413
#54
菲律宾大事件灰产新闻/曝光
@tg89aa · 116,876
#55
东南亚大事件实时新闻
@sssvip2 · 268,007
#56
全球资讯曝光大事件
@nnccqq · 37,561
#57
博度-东南亚曝光新闻
@bodu08 · 55,928
#58
大事件曝光
@toutiao43 · 583
#59
新闻资讯
@BG_BG8 · 32,573
#60
全网曝光
@rjjjj · 35,197
#61
宇宙大曝光🌐新闻快讯/等你来爆料
@xinwennx · 16,443
#62
东南亚热点资讯
@rdzx0 · 87,508
#63
东南亚曝光台
@VCaa8 · 342
#64
迪拜新闻|华人资讯曝光|dubai news
@Dubaihuarenzixun · 64,928
#65
迪拜智慧生活
@dubai1588 · 812
#66
东南亚曝光黑平台灰产绑架吃瓜
@TGPG999 · 4,570
#67
《迪拜曝光》迪拜新闻
@baoguangi · 10,466
#68
安危事件
@flbhuarenquan · 77,783
#69
东南亚大事件
@chadnag001 · 25,659
#70
菲律宾大事件 全球曝光🚀
@feilvbin198 · 83,487
#71

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.

东南亚曝光频道
@BG2288 · 121,636
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 15 August 2026
东南亚新闻💎
@vipn8888 · 58,017
Telegram ranks this channel #14 of 79 here — alongside 78 others — read 18 August 2026
全网曝光
@rjjjj · 35,197
Telegram ranks this channel #15 of 55 here — alongside 54 others — read 27 August 2026
新华社丨新闻曝光
@iiiik · 33,702
Telegram ranks this channel #15 of 57 here — alongside 56 others — read 26 August 2026
最前线大事件曝光
@cctv_dy · 22,407
Telegram ranks this channel #15 of 70 here — alongside 69 others — read 22 August 2026
泰国新闻大事件🇹🇭
@fzjt0 · 123,123
Telegram ranks this channel #15 of 50 here — alongside 49 others — read 15 August 2026
全网曝光
@quanwangbaoguangb · 127,350
Telegram ranks this channel #16 of 70 here — alongside 69 others — read 13 August 2026
菲律宾大事件 全球曝光🚀
@feilvbin198 · 83,487
Telegram ranks this channel #19 of 70 here — alongside 69 others — read 19 August 2026
菲龙网海外华人新闻资讯
@flwph99 · 96,563
Telegram ranks this channel #19 of 72 here — alongside 71 others — read 15 August 2026
东南亚新闻/黑料曝光
@BG6668 · 111,774
Telegram ranks this channel #19 of 57 here — alongside 56 others — read 14 August 2026
东南亚大事件实时新闻
@sssvip2 · 268,007
Telegram ranks this channel #20 of 68 here — alongside 67 others — read 11 August 2026
柬埔寨大事件🇰🇭西港日记
@xinwenhc · 189,420
Telegram ranks this channel #21 of 67 here — alongside 66 others — read 15 August 2026
迪拜新闻|华人资讯大曝光
@xinwen118 · 121,807
Telegram ranks this channel #21 of 78 here — alongside 77 others — read 15 August 2026
曝光黑平台&黑佣金
@BG886 · 52,870
Telegram ranks this channel #23 of 60 here — alongside 59 others — read 23 August 2026
菲律宾/头条事件/曝光
@vjtyd · 59,837
Telegram ranks this channel #23 of 59 here — alongside 58 others — read 23 August 2026
东南亚大爆料(曝光)
@bbsooo · 50,093
Telegram ranks this channel #23 of 64 here — alongside 63 others — read 14 August 2026
曝光新闻/全民曝光/独家曝光
@mianbeiy · 58,834
Telegram ranks this channel #24 of 75 here — alongside 74 others — read 19 August 2026
中文安危曝光🌸海外华人日记
@tghuarenba · 32,426
Telegram ranks this channel #25 of 56 here — alongside 55 others — read 26 August 2026
安危头条/新闻头条
@dnyawtt · 48,131
Telegram ranks this channel #25 of 65 here — alongside 64 others — read 23 August 2026
新闻早班车🐾
@tg04277 · 59,168
Telegram ranks this channel #25 of 66 here — alongside 65 others — read 22 August 2026
🇨🇳华人社东南亚大事件
@hrs166 · 37,782
Telegram ranks this channel #29 of 77 here — alongside 76 others — read 19 August 2026
东南亚热点资讯
@rdzx0 · 87,508
Telegram ranks this channel #29 of 80 here — alongside 79 others — read 18 August 2026
东南亚曝光大事件新闻头条 exposure
@AoneExp · 117,219
Telegram ranks this channel #29 of 74 here — alongside 73 others — read 14 August 2026
东南亚有话说 @shuoo
@db933 · 188,689
Telegram ranks this channel #29 of 65 here — alongside 64 others — read 11 August 2026

This channel appears in 91 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料” (@quanqiubaoliao), 143,454 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/quanqiubaoliao.

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.