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Telegram profile photo for 东南亚大事件

Channel

东南亚大事件

@PHPOTOT

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

45,432subscribers

+2,893 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-1001786999335
TypeChannel
Username@PHPOTOT
Description#菲律宾 #柬埔寨 #泰国 #迪拜 #越南 #缅甸 #老挝 #斯里兰卡 东南亚大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 广告合作请联系: @MISMITT
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 live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/PHPOTOT

Topic

National news — 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 75% 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 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
@PHPOTOT/27739 · this entry19 Aug 2026, 14:07 UTC@PH591/4387125 Aug 2026, 17:09 UTC1.006 days
@PH591/4257712 Aug 2026, 05:35 UTC@PHPOTOT/27892 · this entry22 Aug 2026, 15:44 UTC1.0010 days
@PHPOTOT/29397 · this entry20 Sept 2026, 12:35 UTC@PH591/4669421 Sept 2026, 05:32 UTC1.0017 hours
@PH591/4710726 Sept 2026, 08:34 UTC@PHPOTOT/30137 · this entry4 Oct 2026, 13:25 UTC1.008 days
@PHPOTOT/30550 · this entry11 Oct 2026, 12:41 UTC@PH591/4870212 Oct 2026, 10:43 UTC1.0022 hours
@PH591/4993924 Oct 2026, 09:58 UTC@PHPOTOT/31339 · this entry27 Oct 2026, 13:02 UTC1.003 days
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
@PH59123 (8/8 hand-verifiable sample passed)1.0045 hoursthis entry (12–11)
@woaiui10 (8/8 hand-verifiable sample passed)1.009 daysthis entry (9–1)

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. 10 of the 10 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 1,395 comparable posts for this entry, running 6 August 2026 to 10 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).

Recorded under the keys clone_mutual · 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.

Growth

40,81451,08945,951.545,4327 August 202611 November 2026
65 measurements spanning 96 days, net +2,893. 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 39,273–52,630 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 03:0045,432-154
9 Nov 2026, 12:0645,586-247
8 Nov 2026, 01:1945,833-134
6 Nov 2026, 20:5645,967-117
5 Nov 2026, 19:5646,084-72
4 Nov 2026, 21:4946,156-110
3 Nov 2026, 22:0146,266-285
2 Nov 2026, 23:4846,551-74
1 Nov 2026, 21:3146,625-186
31 Oct 2026, 20:2146,811-207
30 Oct 2026, 23:0647,018-404
29 Oct 2026, 20:5547,422-227
28 Oct 2026, 18:1747,649-279
27 Oct 2026, 14:3947,928-239
26 Oct 2026, 16:0448,167-351
25 Oct 2026, 16:4748,518-128
24 Oct 2026, 18:3948,646-287
23 Oct 2026, 18:2748,933-456
22 Oct 2026, 18:2149,389+8,244
21 Oct 2026, 13:3941,145first reading

Engagement

1,405 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 188 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.98%
avg views ÷ 45,432 subscribers
Avg views / post
900
405 posts measured
Reaction rate
6.18%
reactions ÷ views · ER floor
Posts in window
405
of 1,405 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 404 of 405 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 10 November 2026
Posts held1,405 (6 August 2026 – 10 November 2026)
Views total364,527
Reactions total22,465
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 12:49 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
≈21,700
Videos
≈9,850
Links
≈17,700

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
5h 24m
Average length
47s

Measured directly from 415 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

55,261 reactions across 986 posts, in 6 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍11,10720.1%
❤11,08620.1%
🔥11,04020.0%
😁11,02019.9%
🎉11,00719.9%
💩10.002%

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 986 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 55,261 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 September 2026 to 10 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: 124 of 405 posts held from the last 30 days (30.6%) 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).

10 Nov 2026, 14:27 UTC≈1,190 views54 reactionsread 11 November 2026
Video

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10 Nov 2026, 14:26 UTC≈1,190 views54 reactionsread 11 November 2026
Photo

马达加斯加与美国签署司法合作协议,联手打击跨国网络诈骗,13处诈骗中心已被捣毁 据11月9日马达加斯加媒体报道,马达加斯加司法部长Fanirisoa Ernaivo于11月5日在华盛顿会见美国哥伦比亚特区联邦检察官Jeanine Ferris Pirro。双方重点讨论了跨国网络诈骗案件的调查与司法协作。 美国方面表示,在马达加斯加当局与美国联邦调查局(FBI)的合作下,当地已有 13处网络诈骗中心被捣毁。此前的联合执法行动还查获超过3200件电子设备。 Jeanine Ferris Pirro肯定马达加斯加在打击网络诈骗方面采取的刑事追责措施,并鼓励该国继续加强执法力度,为非洲其他国家提供合作经验。 此次签署的合作备忘录涉及司法经验交流、信息共享及跨国犯罪打击等领域。双方还讨论了涉案人员移交美国接受司法处理的问题。 马达加斯加与美国表示,将继续深化司法合作,共同追查跨国犯罪网络及其资金流向,进一步打击网络诈骗犯罪。 …

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10 Nov 2026, 14:25 UTC25 views58 reactionsread 11 November 2026
Photo

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10 Nov 2026, 14:24 UTC974 views54 reactionsread 11 November 2026
Video

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10 Nov 2026, 14:24 UTC≈1,120 views56 reactionsread 11 November 2026
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10 Nov 2026, 14:24 UTC≈1,130 views54 reactionsread 11 November 2026
Video

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10 Nov 2026, 14:24 UTC≈1,150 views58 reactionsread 11 November 2026
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10 Nov 2026, 14:23 UTC≈1,120 views59 reactionsread 11 November 2026
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❗️😎😎😎⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️⭐️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️❗️ 红包雨限时降临、百家乐赌神赛火热开战、竞咪百家乐精彩升级! 🤩…

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10 Nov 2026, 14:23 UTC≈1,160 views56 reactionsread 11 November 2026
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全新🚩 SOLAIRE 🚩真人桌台,定義業界新標準!🫥 高畫質直播📺: 多機位高清流,無延遲傳輸,真人發牌,盡在眼前。 極速結算💸:告別漫長等待,20秒極速體驗,效率至上。 公平公正‼️: 全程透明化,每一局都經得起考驗。 誠邀體驗,見證非凡🥰 🥰 掃描二維碼 👍 解鎖真人娛樂新世界!⚡️⚡️ 🎮EZ WIN 遊戲網址: ez999.vin ➡EZ WIN 下載網址: ez777.vin ✈EZ WIN 官方娛樂頻道:@EZDX888 ✈客服: @ezkf2 📞 WhatsApp1:+63 962 537 0971 📞 WhatsApp2:+63 967 027 9548

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10 Nov 2026, 14:23 UTC≈1,130 views54 reactionsread 11 November 2026
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📱苹果用户一定注意! 苹果手机又出漏洞了,装错一个App,钱包里的U可能被无感偷走 11月8日,有个开发者在 GitHub 上公开了一个苹果漏洞,名字叫 worse_query。 用大白话说:苹果本来给每个 App(沙盒)都关在自己的小房间里,互相看不到。这个漏洞能让一个 App 从小房间里溜出来,去翻别的 App 的东西,还能改。 那问题就大了。你手机里要是装了个带毒的 App,它就能借这个漏洞去翻你钱包 App 里的数据,你这边一点感觉都没有,U 可能就没了。 受影响的版本很多,iOS 26.0 到 26.7.2,还有 27.2,连 27.3 测试版都有。作者说已经报给苹果了,但到现在还没修好,代码却已经公开,网上已经有人拿它做成工具了。 用苹果的兄弟,这段时间注意: 1. 来路不明的 App 一个都别装,特别是别人私发的安装包、要你点"信任"的企业签名 App,骗子最爱用这招。 2. 苹果一推送更新,马上升级。…

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10 Nov 2026, 14:23 UTC≈1,080 views52 reactionsread 11 November 2026
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10 Nov 2026, 14:23 UTC≈1,100 views59 reactionsread 11 November 2026
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Showing the 12 most recent of 1,405 posts we hold for @PHPOTOT. 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

@PHPOTOT 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
21 September 2026
Most recent edit
21 September 2026

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 9 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.

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

“东南亚大事件” (@PHPOTOT), 45,432 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/PHPOTOT.

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.