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Telegram profile photo for 东南亚人民日曝

Channel

东南亚人民日曝

@bg123

Has discussion group2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

317,736subscribers

-49,284 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1002791110305
TypeChannel
Usernames@bg123 @bg3315
Description四海翻腾云水怒,五洲震荡风雷激,扫除一切害人虫,大锤向狗庄的头上砸去,本频道,曝光寻人, 接待 @bg111
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live9 November 2026
Measurements held118
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/bg123

Topic

National news — 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 12 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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 7 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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
@bg2222/6175612 Sept 2026, 13:08 UTC@bg123/44258 · this entry12 Sept 2026, 13:08 UTC1.00under a minute
@bg123/46818 · this entry6 Oct 2026, 17:10 UTC@bg2222/644196 Oct 2026, 17:10 UTC1.00under a minute
@bg123/46899 · this entry7 Oct 2026, 06:23 UTC@bg2222/644957 Oct 2026, 06:23 UTC1.00under a minute
@bg123/46975 · this entry7 Oct 2026, 16:14 UTC@bg2222/645757 Oct 2026, 16:14 UTC1.00under a minute
@bg123/47455 · this entry11 Oct 2026, 15:20 UTC@bg2222/6507211 Oct 2026, 15:20 UTC1.00under a minute
@bg123/48153 · this entry16 Oct 2026, 14:45 UTC@bg2222/6579116 Oct 2026, 14:45 UTC1.00under a minute
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
@bg2222489 (7/8 hand-verifiable sample passed)1.00under a minute@bg2222 (417–72)
@jpz067851 (6/8 hand-verifiable sample passed)0.981.8 hoursthis entry (51–0)
@yn067817 (8/8 hand-verifiable sample passed)1.0081 minutesthis entry (17–0)
@HDLW_News12 (7/8 hand-verifiable sample passed)1.0029 minutesthis entry (12–0)
@qqt139 (8/8 hand-verifiable sample passed)0.983.7 hoursthis entry (7–2)
@sii768 (6/8 hand-verifiable sample passed)0.983.9 hoursthis entry (7–1)
@dny886 (5/6 hand-verifiable sample passed)0.9867 minutes@dny88 (5–1)

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. 425 of the 425 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 1,456 comparable posts for this entry, running 11 August 2026 to 11 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 2 channels, the one whose matching posts we hold earliest is @bg2222. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 11 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 2 registered channels linked by matching posts. 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

317,736381,802349,76912 August 20269 November 2026
118 measurements spanning 90 days, net -49,284. 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 308,126–391,412 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 118
Measured (UTC)SubscribersChange
9 Nov 2026, 22:48317,736-1,059
9 Nov 2026, 17:48318,795-3,742
8 Nov 2026, 11:10322,537no change
8 Nov 2026, 11:08322,537-3,748
7 Nov 2026, 08:46326,285-479
7 Nov 2026, 06:48326,764-4,014
6 Nov 2026, 06:07330,778-31
6 Nov 2026, 05:46330,809-4,366
5 Nov 2026, 07:21335,175-84
5 Nov 2026, 07:09335,259-5,779
4 Nov 2026, 06:20341,038-127
4 Nov 2026, 05:00341,165-6,284
3 Nov 2026, 07:17347,449-289
3 Nov 2026, 06:40347,738+3,342
2 Nov 2026, 08:06344,396-572
2 Nov 2026, 06:31344,968-7,630
1 Nov 2026, 10:25352,598-785
1 Nov 2026, 08:28353,383+12,417
31 Oct 2026, 09:55340,966-695
31 Oct 2026, 08:36341,661first reading

Engagement

1,702 posts held, back to 11 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 182 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.407%
avg views ÷ 317,736 subscribers
Avg views / post
1,290
538 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
538
of 1,702 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 525 of 538 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 11 November 2026
Posts held1,702 (11 August 2026 – 11 November 2026)
Views total694,956
Reactions total7,574
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 01:58 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
≈40,300
Videos
≈6,750
Links
≈5,200

Lifetime counters from Telegram’s own channel header, read 11 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 07m
Average length
51s

Measured directly from 222 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

15,469 reactions across 987 posts, in 12 distinct kinds. The most used accounts for 17.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,68017.3%
🔥2,64417.1%
🎉2,55316.5%
👍2,52816.3%
🤩8995.81%
💯8965.79%
❤‍🔥8655.59%
👏8175.28%
😍7975.15%
🥰7785.03%
⚡80.052%
😁40.026%

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 987 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 15,469 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 18 September 2026 to 11 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: 19 of 538 posts held from the last 30 days (3.53%) 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).

11 Nov 2026, 01:34 UTC192 views16 reactionsread 11 November 2026
Photo

警惕!赴泰旅游失联 女子被骗入电诈园区 50 万被转走 36 岁安徽女子,被朋友邀约赴泰旅游后失联,竟被骗入缅甸电诈园区! 账户 50 万元被强行转走,赎金从 35 万降至 13 万,历经波折终于平安回到安徽老家! 熟人、朋友邀约境外旅游 / 高薪工作,务必多留个心眼 境外失联、被索要赎金,立刻联系国内警方和领事机构 高薪诱惑、免费出行、神秘 “好机会” 全是陷阱! 😀 【新闻总频道】 @bg2222 ✅ 【华人交流群】 @vs2222 ✅ 【投稿与爆料】 @bg3313

😍5👍4🔥3🥰3🎉1

11 Nov 2026, 01:34 UTC342 views19 reactionsread 11 November 2026
Photo

受害者爆料:本人因同乡关系认识柬埔寨西港独立大道长沙杨裕兴饭店老板(化名强别、许文强)。平时常去他店里吃饭,也帮他介绍生意。当时他在店里请客时说菲律宾好赚钱,认识老板有面子,让我过去看看。因是同乡且有店面,未起疑心。 到菲律宾后对方收走护照,直接开车送到园区盘口,保安不让离开,说需Boss同意,才发现被骗。过程中手机行李全丢。等重新买到手机联系上朋友时,14天签证已逾期。后联系他本人要求离开并警告报警,他才让公司归还护照放我走。 此人卖人坑人,无底线。经打听,他还骗过别人转走钱财、卖掉别人存放的物品,并忽悠约20名老乡和顾客到菲律宾、缅甸做盘口。其真实信息(姓肖,含身份证号)已掌握,正在国内对接报警。如有其他受害者,欢迎一起举报。 因手机丢失,联系方式不全。与他有联系的人注意:他任何话和拖延理由都别信。多行不义必自毙。 😀 【新闻总频道】 @bg2222 ✅ 【华人交流群】 @vs2222 ✅ 【投稿与爆料】 @bg3…

🎉5❤4🔥4🥰4🤩2

11 Nov 2026, 01:30 UTC≈2,240 views18 reactionsread 11 November 2026
Photo

📌 每日稳定业务清册与咨询对接 业务项目繁多,如果您不清楚自己的目的对应哪个具体项目,直接把您的需求发给客服即可! 我们会根据您的实际情况,为您推荐最合适、最稳妥的方案。 行业水深,比价格更要看质量。切勿盲目追求极端低价,避免遇到假单 我们承诺:一手渠道、价格实惠、极速回单、单单保真、售后无忧。 诚信立足,稳定致远。愿与各位同行、代理携手共进,在行业内长远发展!祝大家 2026 年生财有道,业绩长虹!💰 🐎查个人信息项目 🐎查名下资产项目 🐎查地址定位轨迹项目 🐎查案件网逃犯罪项目 🐎其他类目 有许多项目没有添加进导航 直接说明需求 点击咨询客服💁 挑战各种疑难杂症 🐎唯一客服: @bg111 🐎双向请联系:@tz133 🐎客服频道:@xk2200 📖支持的付款方式:🥬🔥🈳🫙㊙️🐎📦🐑💌 ✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅ 🛡️ 【源头天眼查档】· 我们的服务宗旨 🔒 隐私至上:严格保护客户隐私,承诺绝不二次销售任何…

🎉6🤩4❤3❤‍🔥3💯2

11 Nov 2026, 01:03 UTC389 views17 reactionsread 11 November 2026
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🇱🇦老挝警方打掉万象网络犯罪窝点,抓获13名孟加拉籍嫌疑人! 老挝媒体报道:11月7日晚,老挝公安部专项工作组突袭万象市赛色塔县洪素帕村一处出租屋,成功打掉一处网络犯罪窝点,当场抓获13名孟加拉籍嫌疑人(含1名女性)。 行动现场查获手机21部、台式电脑12台等作案工具。 目前,案件正在进一步侦办深挖中。 中国推推全军覆没 最近抓的都是老外 😀 【新闻总频道】 @bg2222 ✅ 【华人交流群】 @vs2222 ✅ 【投稿与爆料】 @bg3313

👍5🥰4😍4❤‍🔥3🤩1

10 Nov 2026, 23:46 UTC429 views18 reactionsread 11 November 2026
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粉丝爆料:此人代号 #阿亮 福建厦门人 满嘴跑火车,说谎脸不红、心不跳,心黑得很。因是福建人,再加上之前在园区各种表现良好,得到临时重用。在公司期间,各种哄骗,骗厨师的钱、业务员的工资,搞公司的资源、三方费用。 最可恨的是,部分兄弟因被抓进了监狱,需要支付 ABA 打生活费等原因,此事被交与他来安排。他居然心黑到连监狱里面兄弟的生活费、安家费,他都黑掉了。 监狱里的兄弟,得皮肤病没钱看病,高烧不退,在现场都晕倒了,身上红疹子起一身,吃饭吃不上,烟抽不上。睡觉就睡在 40 公分的地上,铺个凉席,几十个、上百个人关在一间房间。一个月就想着这两三百生活费,能给个人一样,在监狱里度过。 其中两口子都被抓,家里就 70 多岁的老娘在国内,智能机都不会使用,都是安排国内朋友拿现金送去家里。两个孩子上学学费没有,到处求人,生活更是苦不堪言。 你他妈的畜生啊!你没有父母,没有小孩,没有家人,没有心吗?这样的钱你都黑,畜生,草你妈! …

🔥7🤩4🥰4💯2❤1

10 Nov 2026, 23:39 UTC431 views16 reactionsread 11 November 2026
Video

粉丝投稿:金三角特区军营烧烤,一名中国男子喝多了闹事打人,喊打喊杀的,目前治安局已到达现场,枪都掏出来了! 特区乱不乱 中国人说了算… 😀 【新闻总频道】 @bg2222 ✅ 【华人交流群】 @vs2222 ✅ 【投稿与爆料】 @bg3313

😍5❤3🔥3🥰3🎉2

10 Nov 2026, 19:44 UTC≈2,110 views11 reactionsread 11 November 2026
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招【美团京东抖音团购卷核销实力来】价格拉满 来核销来核销

❤‍🔥4👍2🔥2🥰2💯1

10 Nov 2026, 18:03 UTC≈2,200 views13 reactionsread 11 November 2026
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粉丝投稿:金三角特外,最近会迎来联合执法,会塞和别的地区已经来了很多警察了,特外暂时停工撤离了,暂时是待不了。

🤩5👍4❤2❤‍🔥1🔥1

10 Nov 2026, 17:49 UTC466 views8 reactionsread 11 November 2026
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粉丝曝光:公司名字叫ABC,在亚太山上 776园区,6L-5552车牌接的。 昨天下午找到江湖浪人,有一个在赌场欠了60万泰铢的人,后面和债主协商到50万株。但是没有想到债主是被人冒充了飞机,然后我这边打电话联系到真的债主,债主去了现场收到60万泰铢。 最后ABC这家公司把人接走了不承认,还找我来要放空费。我的司机亲眼看到他把人接走的,债主那边我也联系了,确实60万接走了 我也想不通,开始就没说要什么介绍费,为什么还要接了人不承认,这么大的公司是敢做不敢当吗? 😀 【新闻总频道】 @bg2222 ✅ 【华人交流群】 @vs2222 ✅ 【投稿与爆料】 @bg3313

❤2🔥2🥰2❤‍🔥1👍1

10 Nov 2026, 13:56 UTC1 viewsread 10 November 2026
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粉丝曝光:几个猪狗不如的东西,阿东哈尔滨人无护照,大全哈尔滨人无护照,阿浩哈尔滨人无护照。原来在凯旋国际出码,后来在海悦国际、蓝色海湾,他俩卖人无数卖自己同胞。出码还不上钱或者还上了钱也被阿东大全卖了,帮他们看人他们不给工人开工资,一天50美金都不给就欠着,好多兄弟吃不上饭没地方住,管他要钱都是已读不回不管,跟别人说他给这个1000那个500其实一分没给。拿着兄弟的钱找小姐赌博,自己跟大全阿浩天天吸毒然后各种骗钱。 跟他们合作要注意,自己租个别墅放出码的人。人家输了1万还了1万美金还让人家还5万,不还就打折磨要杀人,后来有一个人实在受不了从楼上跳下来去了警察局,后来警察把别墅里的人都抓走了。阿东大全阿浩跑了,现在还在西港,兄弟为了他进去一分钱不存也不管,天天吸毒找小姐赌博。原来别墅里抓的那些人,幕后阿东是大老板,大全小老板,阿浩忠诚小弟。希望你马上还钱还我血汗钱。 😀 【新闻总频道】 @bg2222 ✅ 【华人交流群】 @v…

10 Nov 2026, 13:40 UTC≈1,330 views5 reactionsread 10 November 2026
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西游记十六倍微信牛牛 全网震撼首发 飞机下注 微信点包 🫥【公群经营理念】 🫥公平 公正 公开 🫥【公群核心优势】 🫥资金充足保障 🫥进出稳定无忧 🫥多通道极速响应 🔥 高速开机中 极速上下分 欢迎来取款 🟢🟢🟢🟢🟢🟢🟢🟢 皇冠担保公群上押10万U 达利担保公群上万5万U 未来担保公群上押5万U 进下注群观看游戏过程上分联系客服 🟢🟢🟢🟢 @xyjkf_2

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10 Nov 2026, 13:34 UTC991 views7 reactionsread 10 November 2026
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🇻🇳越南越南准备放宽签证!拟推出最长1年多次入境签证,远程办公和长期旅居外国人有望受益! 11月8日消息,越南政府计划进一步放宽外国人入境及居留政策,重点吸引远程办公人员、长期旅居游客和医疗旅游人群。11月7日,越南政府向国会提交旅游业发展特别政策草案,考虑为符合条件的外国人提供更加灵活的签证及居留安排。 更值得关注的是,有国会议员建议试行最长有效期1年的多次入境旅游签证,让外国人可以在签证有效期内多次往返越南。

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Showing the 12 most recent of 1,702 posts we hold for @bg123. 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.

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.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚人民日曝” (@bg123), 317,736 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/bg123.

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.