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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 · Cite this entry

32,158subscribers

-2,789 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-1001433337290
TypeChannel
Username@PG681
Description#迪拜 #柬埔寨 #东南亚 #泰国 #缅甸 #金三角 东南亚头条大事件,专注于海外华人最新动态咨询,悬赏通缉,揭露事实,曝光真相! 合作/重大爆料联系: @baofu821
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 live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 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 why it has no browse page of its own yet.

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 (90)
@ershouflb8 (7/8 hand-verifiable sample passed)1.002.8 hoursthis entry (80)

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

32,15834,94733,552.57 August 2026 — 34,947 subscribers7 August 2026 — 34,936 subscribers8 August 2026 — 34,846 subscribers9 August 2026 — 34,773 subscribers10 August 2026 — 34,671 subscribers11 August 2026 — 34,611 subscribers12 August 2026 — 34,535 subscribers13 August 2026 — 34,431 subscribers15 August 2026 — 34,385 subscribers16 August 2026 — 34,273 subscribers17 August 2026 — 34,168 subscribers18 August 2026 — 34,106 subscribers19 August 2026 — 34,040 subscribers20 August 2026 — 33,988 subscribers22 August 2026 — 33,925 subscribers23 August 2026 — 33,746 subscribers25 August 2026 — 33,668 subscribers26 August 2026 — 33,606 subscribers27 August 2026 — 33,553 subscribers28 August 2026 — 33,522 subscribers29 August 2026 — 33,475 subscribers30 August 2026 — 33,428 subscribers31 August 2026 — 33,374 subscribers1 September 2026 — 33,346 subscribers2 September 2026 — 33,282 subscribers3 September 2026 — 33,145 subscribers5 September 2026 — 33,053 subscribers8 September 2026 — 32,826 subscribers11 September 2026 — 32,474 subscribers13 September 2026 — 32,354 subscribers15 September 2026 — 32,308 subscribers17 September 2026 — 32,241 subscribers19 September 2026 — 32,158 subscribers7 August 202619 September 2026
33 measurements spanning 43 days, net -2,789. 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 31,740–35,365 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 08:1732,158-83
17 Sept 2026, 00:1932,241-67
15 Sept 2026, 04:1932,308-46
13 Sept 2026, 10:4032,354-120
11 Sept 2026, 11:5532,474-352
8 Sept 2026, 19:0032,826-227
5 Sept 2026, 13:3833,053-92
3 Sept 2026, 15:3633,145-137
2 Sept 2026, 06:0433,282-64
1 Sept 2026, 07:4833,346-28
31 Aug 2026, 10:3533,374-54
30 Aug 2026, 09:0933,428-47
29 Aug 2026, 09:5433,475-47
28 Aug 2026, 07:3433,522-31
27 Aug 2026, 04:0233,553-53
26 Aug 2026, 04:3433,606-62
25 Aug 2026, 03:5633,668-78
23 Aug 2026, 19:2333,746-179
22 Aug 2026, 03:5533,925-63
20 Aug 2026, 20:1233,988first reading

Engagement

871 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.835%
avg views ÷ 32,158 subscribers
Avg views / post
269
381 posts measured
Reaction rate
0.225%
reactions ÷ views · ER floor
Posts in window
452
of 871 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 27 of 381 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 22 September 2026
Posts held871 (7 August 202622 September 2026)
Views total102,308
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 06:22 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
16,800
Videos
3,120
Links
20

Lifetime counters from Telegram’s own channel header, read 22 September 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 06m
Average length
42s

Measured directly from 266 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

29 reactions across 29 posts, in 11 distinct kinds. The most used accounts for 17.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥517.2%
🥰517.2%
310.3%
310.3%
👍310.3%
😁310.3%
👏26.90%
🤡26.90%
🎉13.45%
😎13.45%
🤩13.45%

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 29 of the 871 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 29 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 871 most recent posts we hold, published 7 August 2026 to 22 September 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

22 Sept 2026, 06:02 UTC696 viewsread 22 September 2026
Photo

#缅甸新闻 【克钦邦法尔肯特镇局势紧张,KIA 警告民众夜间勿点灯,尽量在防空洞避险】 受克钦邦法尔肯特镇日趋紧张的军事局势影响,克钦独立军(KIA)社区委员会向当地居民发布安全警示。自 9 月 21 日起,当局呼吁各村村民夜间不要点灯、生火,尽量在防空洞内过夜,避免暴露位置遭到打击。 当地民众透露,范莫尔方向战事失利之后,平民有被战火波及的风险,前一晚军方从法尔肯特战略高地阵地发射重炮,炮弹落点尚不明确。夜间灯光极易被空中侦查识别,军政府方面在地面作战受挫之后,常会出动喷气战机、无人机,在夜间对居民区实施轰炸。 目前法尔肯特镇由军政府掌控,波尔特穆村一带则由革命武装实际控制,双方战线犬牙交错,普通平民身处交火地带,人身安全风险较高。 缅北武装对峙持续,交战区平民缺少足够庇护,冲突带来空袭、炮火威胁,民生处境堪忧。

22 Sept 2026, 05:45 UTC2 viewsread 22 September 2026
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#网友爆料:很多人听过KK园区、卧虎山庄,但缅北还有一处从未对外曝光的绝密电诈黑园区,位置藏在深山里面,隐蔽性极强! 这座山上园区,现在足足关押着1000多名被困人员,这里的管控,恐怖到超出想象! 整座山头全部封锁、重兵看守,唯独老板和几名核心股东,可以自由进出、来去自如,里面所有被困人员,没有任何人有资格踏出园区一步,完全与世隔绝! 更黑暗的是,这个隐秘园区,曾发生过多起恶性事件,其中就有4名中国籍人员,直接在这里被销户, 这件事外界几乎没人知情,属于深埋内幕!因为位置偏僻、加上当地保护伞层层兜底,这个黑窝点长期隐身、没人清查、没人曝光。 一千多人被困深山,每天被高压管控、强制诈骗,不听话、想逃跑、完不成业绩,等待他们的,就是殴打、禁闭,甚至是消失、销户! 大家要清楚!现在明面上的大园区虽然被端得差不多了,但是深山隐秘小黑窝,依然大量存在! 这些隐蔽园区,才是最恐怖的地方,没人关注、没人救援、监管盲区、肆意妄为。

22 Sept 2026, 05:32 UTC890 viewsread 22 September 2026
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#网友投稿:持续转移的电诈人员和阵地 8至9月陆续有爆出来一些关于在缅甸交克山和妙瓦底区域之间的电诈园区继续在运营的帖子,说那边还一些高压迫害人的2至3千人的大型园区。 据我们近段时间送生活物资进山里的交克本地司机观察,千人的电诈规模人数他们没有看见,目测3至5百人数的规模还是有。这些电诈集团近期一直在采购大型野外工作的帐篷⛺️用来作为向外转移临时的电诈窝点。交克镇区里面的电诈集团目前已经明显的少了很多。 因为承受了近期太多的曝光和各界人士政府的关注,山里面的电诈大部队在向外面的山区持续转移人员阵地,有转移到高加力山区和更外围的高本山区。被骗进卖进交克高加力这些地方的人要救人出来的话最好不要随便去找飞机抖音上这些说能救人的中介,不管是不是骗子多数都是花了赎金连人影子都见不到的更不要提能救出人来。 唯一有大希望能救出人的方式方法就是:通过政府大使馆的帮忙引荐认识本地有点影响力的居民,让本地的居民去联系保护电诈集团的本地军阀

22 Sept 2026, 05:08 UTC2 viewsread 22 September 2026
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#网友爆料:缅甸妙瓦迪走险记,最黑WD公司督查,但是比起其他公司还算人性化。 经历了无数的折磨和人心险恶,我一个未成年塞,每天上班十几个小时,还有所谓的督查监督你工作,上厕所不能超时,上班不能打瞌睡,不然转后就有人给你开罚单。 最恶心人是那个胖子督查,可以说是关系户,名叫案迪,整天凶神恶煞,牛逼哄哄,搞心态。听说来将军山之前,总是忽悠业务员把钱放在他手上帮人保管,最后从KK跑路时,拿着好几个老乡的钱一起跑,最后把别人钱给吞了,说是被财务卷跑了,让那些老乡吃哑巴亏,敢怒不敢言。 后来到了山上,还不断地给我老乡和他身边几个玩的好的业务员洗脑,让他们一人凑钱出来给他,他先去其他地方另起炉灶做启动资金,然后带他们离职一起自立门户赚钱。 尼玛,骗三岁小孩塞,这是要造反不得?都出来东南亚干诈骗的,忍心去骗你身边的人。一个这么好的公司老板,既然允许这样的老鼠屎在公司当搅屎棍搅浑,还有规矩吗? 听说最近又在找一些关系好的业务员筹钱,要

22 Sept 2026, 05:00 UTC657 viewsread 22 September 2026
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🌈🌈🌈🌈8K国际 信誉至上·财富相伴 🌈🌈🌈🌈🌈: 8k2362.com #东南亚盘总首选最权威综合😃台 集团耗资2亿美金 打造全网最牛逼的线上娱乐平台。😄😄😄😄 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ ⚡ 8K国际·品牌实力⚡ 1、不限IP,电子真人0审核0风控包出款 2、每日提款不限额度和次数,大额无忧 3、返水无上限,实时返水,免打码直提 4、真人视讯,单注限红可下20万U一口 5、大哥首选,电子3000U一拉业内最高 6、资金储备超2亿U,全网上押1000万U ⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡⚡ 天选之人:PP电子极速糖果 30U爆25000倍满倍大奖75万U 😀 赌神在线:百家乐战神 大哥一天时间狂砍100万U 😀 糖果大水:PP电子极速糖果 单注500爆得500万U巨奖 😀 福星高照:百家乐神秘大哥 连续稳定输出一天净赚59万u 😀 每日存款彩金每日送,每笔存款加赠 1⃣🔤 8K国际 #无风控 电子真人零审核包出款 🔗 官方网址:

22 Sept 2026, 04:51 UTC611 views1 reactionsread 22 September 2026
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🇹🇭曼谷机场入境大变化!33国和地区可走自动通道,中国内地护照暂未纳入 9月21日,泰媒披露,素万那普机场入境大厅已向33个国家和地区的合资格旅客开放自动查验通道。旅客扫描护照、接受人脸核验,系统通过后即可完成入境手续,不必再在普通柜台长时间排队。 目前名单包括:中国香港、新加坡、澳大利亚、奥地利、比利时、加拿大、捷克、丹麦、芬兰、法国、德国、希腊、匈牙利、爱尔兰、意大利、日本、韩国、拉脱维亚、卢森堡、马来西亚、马耳他、荷兰、新西兰、挪威、波兰、葡萄牙、斯洛伐克、斯洛文尼亚、西班牙、瑞典、瑞士、阿联酋和英国。 中国香港此前已经可以使用相关设备。中国内地、中国澳门及中国台湾地区暂未列入本轮名单;美国、印度也不在其中。

😁1

22 Sept 2026, 04:34 UTC2 views1 reactionsread 22 September 2026
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🤯🤯河南开封 好可怜😱😱😱 估计没了 #吃瓜 #严重车祸

🥰1

22 Sept 2026, 04:18 UTC2 viewsread 22 September 2026
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#泰国新闻 【清莱美塞‑大其力口岸贸易大乱,缅方限制进口泰国商品,当地物价大幅上涨】 泰缅边境清莱府美塞‑大其力口岸出现严重混乱。缅甸方面出台管控措施,禁止面包车、三轮摩托等小型车辆整车进口泰国商品,仅允许人员步行,仅限个人自用少量提货,禁止整车贩运销售。

22 Sept 2026, 04:07 UTC589 views1 reactionsread 22 September 2026
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#泰国新闻 【上议院议员蓬猜提议拆分选委会权力,分离选举组织与监督职能,呼吁加快修宪】 9 月 21 日,泰国上议院举行会议,议长蒙空主持会议,会上审议上议院政治发展等委员会提交的《发展泰国自由公正选举程序的研究与建议报告》。上议院议员蓬猜就此展开辩论,直指选举委员会现行权力架构存在制度性矛盾。 蓬猜表示,当前选举委员会一身兼具选举组织管理,以及调查、审理、裁决、下令重新计票或重选的多重权限,相当于同一机构同时承担执行者、调查者、裁决者多重角色,容易出现角色冲突,引发社会质疑,形成 “自我监督” 的局面。报告同样建议,应当把选举组织管理权和选举监督权进行拆分。 他以 2024 年上议院议员选举作为实例,此次选举后续衍生大量投诉案件,选委会 9 月 14 日作出决议,将 427 名被投诉人员当中的 77 人移送法院提起刑事诉讼,其中包含 26 名现任上议院议员。蓬猜称,移送起诉不等于有罪,但大量争议的出现说明不能仅做细节修

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21 Sept 2026, 17:00 UTC691 viewsread 22 September 2026
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Showing the 12 most recent of 871 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾大事件曝光” (@PG681), 32,158 subscribers as measured 19 September 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.