Telegram RegisterThe public register of Telegram

Channel

菲律宾吃瓜新闻日记

@FLB002

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

33,342subscribers

-644 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-1001631170966
TypeChannel
Username@FLB002
Description信息时代,速度与准确同等重要,菲律宾/马尼拉/帕赛/马卡蒂/曝光,带你看不一样的菲律宾🇵🇭,确保观众以更轻松的方式获取真实、有价值的信息,提升阅读体验,避免内容冗长阅读疲劳。 📮投稿爆料合作联系 @KL066 #东南亚 #菲律宾 #柬埔寨 #缅甸 #缅北 #迪拜 #泰国
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/FLB002

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 60% 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 1 other registered channel. They sit inside a group of 4 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.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DSJ067/169907 Aug 2026, 13:12 UTC@FLB002/12786 · this entry7 Aug 2026, 13:12 UTC1.00under a minute
@DSJ067/169917 Aug 2026, 13:25 UTC@FLB002/12787 · this entry7 Aug 2026, 13:33 UTC1.008 minutes
@DSJ067/169967 Aug 2026, 14:07 UTC@FLB002/12790 · this entry7 Aug 2026, 14:43 UTC1.0037 minutes
@DSJ067/169927 Aug 2026, 13:40 UTC@FLB002/12794 · this entry7 Aug 2026, 14:44 UTC1.0063 minutes
@DSJ067/170037 Aug 2026, 14:39 UTC@FLB002/12799 · this entry7 Aug 2026, 14:50 UTC0.8611 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DSJ0675 (5/5 hand-verifiable sample passed)0.9711 minutes@DSJ067 (50)

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. 5 of the 5 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 11 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 4, the earliest publisher we hold is @DSJ067. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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 3 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

33,34233,98633,6647 August 2026 — 33,986 subscribers8 August 2026 — 33,933 subscribers9 August 2026 — 33,705 subscribers10 August 2026 — 33,524 subscribers11 August 2026 — 33,409 subscribers12 August 2026 — 33,342 subscribers7 August 202612 August 2026
6 measurements spanning 5 days, net -644. 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 33,245–34,083 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:1533,342-67
11 Aug 2026, 13:0233,409-115
10 Aug 2026, 11:3133,524-181
9 Aug 2026, 11:5133,705-228
8 Aug 2026, 08:3633,933-53
7 Aug 2026, 15:0133,986first reading

Engagement

118 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.12%
avg views ÷ 33,342 subscribers
Avg views / post
1,370
118 posts measured
Reaction rate
0.093%
reactions ÷ views · ER floor
Posts in window
118
of 118 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 22 of 118 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 12 August 2026
Posts held118 (7 August 202612 August 2026)
Views total162,045
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 21:09 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
9,930
Videos
1,810
Links
6,190

Lifetime counters from Telegram’s own channel header, read 12 August 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
24m 34s
Average length
34s

Measured directly from 44 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

26 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 92.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2492.3%
👌13.85%
👍13.85%

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 22 of the 118 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 118 most recent posts we hold, published 7 August 2026 to 12 August 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

12 Aug 2026, 14:59 UTC9 views1 reactionsread 12 August 2026
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#马来西亚资讯:“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道,马来西亚耗资千亿美元打造的柔佛州“森林城市”(Forest City)因仅有一半不到的计划人口入住,原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性,吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点,逮捕335人(含309名中国籍),查获逾1500部手机及300余台电脑等作案工具。 专家指出,与柬埔寨或缅甸强迫劳动式园区不同,该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作,显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡~~ 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投

1

12 Aug 2026, 14:31 UTC8 viewsread 12 August 2026
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#群友反馈:老挝万象雅典饭店行动结束了,抓了不少人,目前开始装车带走了, PS:最近老挝抓人跟下饺子似的,一窝接着一窝。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 14:31 UTC6 viewsread 12 August 2026
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#群友投稿:在东南亚混久了,人都废了。不是赚钱的问题,是脑子出了问题。 以前在国内,花100块都得掂量掂量。到了这边,100美金刷出去,眼睛都不眨。不是因为你赚得多了,是因为你把美金当冥币花了——数字小,没感觉,花完拉倒。月底一看账单:“卧槽,这钱是我花的?”不是你是谁?鬼帮你花的? 你以为你在过好日子,其实你在给东南亚打工。会所、酒吧、请客吃饭,样样不落。回国一看银行卡——余额还没你脸皮厚。 兄弟,你在国内省吃俭用,攒三万块能活半年。你在那边大手大脚,三万美金只够买几个月的“面子”。面子有了,钱没了,人老了,啥也没剩下。 更蠢的是啥?是你觉得这种生活正常。没存款正常,月底吃土正常,借钱发工资也正常。你管这叫“活在当下”,其实就是被这边的节奏带沟里了。 一句话:你是来赚钱的,不是来过瘾的。钱是挣来的,也是守住的。守不住,赚再多都是过路财神。别等到回国那天,才发现——你在国外潇洒了几年,实际上是在给别人的好日子买单。 赞助商

12 Aug 2026, 13:47 UTC9 viewsread 12 August 2026
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#群友投稿:缅甸政府军已经开始准备围剿三佛塔了。 今天早上,我在房间里面听到了四声很明显的炮弹声音,虽然还有点距离,但是声音很响,根据其他地方的朋友讲,外围地区偶尔会有枪声传出来, 现在三佛塔的园区人员都开始人心惶惶,园区老板也都不在园区里面了,公司该解散的解散,像我们这种还有安全的去路吗,整个东南亚还有净土吗😭 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 13:47 UTC≈10,600 viewsread 12 August 2026
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#网友反馈:8月12日开始,金三角特区内针对受举报的公寓进行检查 老挝治安局,老挝公安,中国便衣,12日12点抽查桐琴水岸,金水湾,梅陇湾,凤凰城,携带人脸扫描机器,检查住是否存在办公设备,三证是否齐全,以上四处收到举报较多,为重点检查目标,疑有上榜名单,包括万国公寓,唐人国际,山上酒店,大黄楼均在检查范围 检查截止到本月17号,部分物业已经通知也进行内部检查了,特内打野的都注意安全,这次行动力度不小。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 13:23 UTC8 viewsread 12 August 2026
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#柬埔寨资讯:班迭棉吉省波贝市检查行动 查获17名外国人 8月12日,班迭棉吉省联合工作组在波贝市开展外国人员居住情况检查行动,共检查8处建筑设施,发现17名外国人。 此次行动由班迭棉吉省省长吴瑞直接指挥,相关部门联合开展。检查中发现的17名外国人均持有效证件,具备合法居留资格,其中包括9名女性及泰国籍人员。据了解,检查地点主要涉及住宅楼、出租房及教育机构等场所。除一处发现泰国籍人员在当地赌场工作外,其余地点未发现外国人员居住,也未发现任何可疑物品。 班迭棉吉省政府表示,相关部门将继续加强对外国人员及重点区域的检查管理,维护当地社会治安秩序。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 13:15 UTC≈3,180 viewsread 12 August 2026
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#网友反馈:西港海悦刚刚也被宪兵队照顾了,现在已经进去检查了。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 13:04 UTC8 viewsread 12 August 2026
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#补充视频:老挝万象雅典饭店被突袭,这次里面的推推在劫难逃了,直接全部围起来了。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 12:26 UTC≈2,540 viewsread 12 August 2026
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#网友反馈:老挝万象雅典公寓被围了,直接来了2卡车宪兵队。 这波最少要抓几十个狗推~~ 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Aug 2026, 12:10 UTC6 viewsread 12 August 2026
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#群友投稿:在东南亚五年,我终于明白:狗推,其实就是一场没有剧本的人生表演 来到东南亚,已经五年了。五年的时间,说长不长,说短也不短。这片土地见过太多人的来来去去,带着发财梦踏上这里,带着遗憾和疲惫离开。赚到了钱,输掉了青春,而我,只是在这场时代的浪潮里,扮演了一个又一个不同的角色。 回头看看自己这一路走来,我也觉得自己是幸运的。东南亚这些年,经历过各种复杂的环境,见过太多意想不到的事情,也听过太多身边人的故事。但万幸的是,我一直平安走到了今天,没有遇到无法挽回的事情,也没有让自己陷入更深的困境。 很多人问,狗推到底是什么?如果让我形容,我觉得狗推更像是一场长期的角色扮演。我们每天坐在电脑前,面对着陌生的人,说着提前设计好的话术,编造着一个又一个身份。今天,我可以是美国成功人士;明天,我可以是日本投资顾问;后天,我又可以变成一个温柔漂亮的女人,或者一个事业有成的老板。 我们不是演员,却每天都在演戏。为了业绩,我们学会了伪

12 Aug 2026, 12:10 UTC7 views1 reactionsread 12 August 2026
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#补充视频:不少狗推从大楼里面跑出来,还有狗推又开始飞檐走壁了,路口也有警察怎么跑🤣 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

1

12 Aug 2026, 07:26 UTC6 viewsread 12 August 2026
Video

#群友爆料:TD集团公司原开始在西港G3做美盘,后续搬到金边兄弟园区,再搬到财通。 第一波公司压8000多美金提成,说第二波做完结算。第二波快结束了,让我走人。这个钱就这样黑掉吗? 还有代理阿甘欠12000多美金,你钱还了没有就把我拉黑。你们记住,第一次在西湖吃饭,我有你和金总的照片。别逼我上传国内,给你们5天时间处理。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

Showing the 12 most recent of 118 posts we hold for @FLB002. 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.

Citation-graph rank

Citation-graph rank — 729,669 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾吃瓜新闻日记” (@FLB002), 33,342 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/FLB002.

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.