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Channel

菲律宾大事件曝光

@PG681

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 · Cite this entry

28,839subscribers

-6,108 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001433337290
TypeChannel
Username@PG681
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/PG681

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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 2 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
@PG681/19757 · this entry7 Aug 2026, 11:20 UTC@baoguang821/1115007 Aug 2026, 12:30 UTC1.0070 minutes
@PG681/19767 · this entry7 Aug 2026, 12:30 UTC@baoguang821/1115047 Aug 2026, 12:30 UTC1.00under a minute
@PG681/19760 · this entry7 Aug 2026, 11:38 UTC@baoguang821/1115057 Aug 2026, 12:46 UTC1.0068 minutes
@PG681/19762 · this entry7 Aug 2026, 12:00 UTC@baoguang821/1115107 Aug 2026, 13:00 UTC1.0060 minutes
@PG681/19766 · this entry7 Aug 2026, 12:15 UTC@baoguang821/1115127 Aug 2026, 13:19 UTC1.0064 minutes
@PG681/19769 · this entry7 Aug 2026, 12:47 UTC@baoguang821/1115167 Aug 2026, 13:57 UTC1.0070 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@baoguang8219 (6/8 hand-verifiable sample passed)1.0066 minutesthis entry (9–0)
@ershouflb8 (7/8 hand-verifiable sample passed)1.002.8 hoursthis entry (8–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 19 comparable posts for this entry, running 7 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 3, the earliest publisher we hold is @PG681 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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 2 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

28,83934,94731,8937 August 20268 November 2026
62 measurements spanning 93 days, net -6,108. 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 27,923–35,863 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
8 Nov 2026, 08:5528,839-61
7 Nov 2026, 05:2828,900-79
6 Nov 2026, 02:3728,979-68
4 Nov 2026, 23:2929,047-77
3 Nov 2026, 20:5029,124-495
2 Nov 2026, 20:2029,619-157
1 Nov 2026, 23:1729,776-51
1 Nov 2026, 01:4829,827-51
31 Oct 2026, 00:1729,878-75
30 Oct 2026, 02:5729,953-171
29 Oct 2026, 01:3930,124-45
27 Oct 2026, 23:4930,169-36
26 Oct 2026, 23:5830,205-25
25 Oct 2026, 22:4030,230-41
24 Oct 2026, 19:4730,271-73
23 Oct 2026, 19:3930,344-55
22 Oct 2026, 18:5730,399-59
21 Oct 2026, 11:5730,458-39
20 Oct 2026, 07:3430,497-27
19 Oct 2026, 10:3030,524first reading

Engagement

2,014 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 164 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.45%
avg views ÷ 28,839 subscribers
Avg views / post
707
618 posts measured
Reaction rate
0.199%
reactions ÷ views · ER floor
Posts in window
699
of 2,014 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 6 of 618 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 held2,014 (7 August 2026 – 7 November 2026)
Views total436,740
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 00:05 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

Video runtime
2h 47m
Average length
34s

Measured directly from 299 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

12 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤩325.0%
🥰325.0%
😁216.7%
⚡18.33%
❤18.33%
👏18.33%
🔥18.33%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 12 of the 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 12 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 27 September 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 699 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, 17:00 UTC≈1,530 viewsread 8 November 2026
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7 Nov 2026, 16:11 UTC3 viewsread 8 November 2026
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#网友投稿:以下是我亲身经历,如有半句谎话,负全部责任。 在原财通金运园区“创大集团”资金盘公司身居高位的李女士,每天穿得花枝招展,与公司管理人员传出花边新闻,最主要的身份是太子集团高层某总的情人。 在柬埔寨大扫荡以后,一直陪伴某总,得到某总的不少资产。奢靡极致后,又将老家的男人接来,付姓,从泰国边境非法入境大马过程中,被吉兰丹州警察拦截,并将他关押到登嘉楼移民局数月。 在此期间,李女士也多次托人捞人,并放话多少钱都不是问题,后却让我帮她支付所有费用。当天币安交易所出事,只能转15个BNB,约等于10000U,我没犹豫就转了,链上可查。 后来,找我办事,告诉我这个事情。一开始我还给她推荐了她认识、熟悉的人。我并没有自己去答应帮她办,却好心到处帮她咨询能办的人。推荐给她以后,她说那个人不可信,各种贬低的话,我有聊天记录。 后来,我帮她找到了我的前老板,人就在马来,帮忙办了这事。她不仅不感恩,还损害我名声,把我拉黑,编造故…

7 Nov 2026, 15:50 UTC≈1,840 viewsread 8 November 2026
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7 Nov 2026, 15:48 UTC≈1,830 viewsread 8 November 2026
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7 Nov 2026, 15:32 UTC4 viewsread 8 November 2026
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7 Nov 2026, 15:19 UTC≈1,650 viewsread 8 November 2026
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7 Nov 2026, 15:05 UTC5 viewsread 8 November 2026
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7 Nov 2026, 15:00 UTC≈1,580 viewsread 8 November 2026
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7 Nov 2026, 14:49 UTC≈1,650 viewsread 8 November 2026
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网友投稿:一个在迪拜混迹了7年的女骗子,希望在迪拜的男人不要上当 石静国内结过婚,有一个9岁女儿,对外人设:说家里很有钱,爸妈是做小卖铺批发生意,爷爷是国防部的一把手快退居二线了,跟家里人闹翻出来创业想证明一下自己,说自己是97年的谈过一段恋爱,说前男友某局一把手的儿子,说自己快30了家里催婚想找一个以结婚为目的的男朋友奔着结婚去的,跟她确认关系的,可以等她晚上出门的时候给她打视频,她不敢接的,因为在外面陪别的男人,看到这篇文章的,先不急着给她花钱,慢慢观察就知道,她会想尽各种办法搞你的钱,让你宠着她爱着她哄着她 2019年出国开始迪拜做情感诈骗,在迪拜期间专门物色做盘总或者管理员的大哥,刚开始认识跟你说家里多有钱,我大哥是谁谁,说的自己很厉害,认识之后开始暧昧打感情牌,试探你对她有意思后开始给你买点小礼物说一些很暧昧的话挑逗你慢慢接近你,让你觉得可以追她,熟悉之后会问你有没有资源自己想开盘做代理,有点感情后慢慢开始要礼物要钱…

7 Nov 2026, 14:34 UTC≈1,720 viewsread 8 November 2026
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马来西亚亚庇泛婆罗洲大道发生致命摩哆车祸,39 岁骑士失控撞石墩身亡 亚庇 7 日讯,泛婆罗洲大道兵南邦甘榜 Tanaki 附近路段,昨晚 8 时 34 分发生致命摩托事故。一名 39 岁男子骑摩托从必打丹往甘榜伊诺邦方向行驶,途中车辆疑似失控,撞上路边石墩护栏,摩托翻倒损毁。 路人发现后紧急呼叫救援,伊丽莎白女王一世医院救护人员到场抢救,但骑士伤势过重,当场宣告死亡。兵南邦代警区主任阿丽珊蒂阿兹助理警监已证实该事故,警方正进一步调查。

Showing the 12 most recent of 2,014 posts we hold for @PG681. 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.

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

“菲律宾大事件曝光” (@PG681), 28,839 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/PG681.

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.