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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

30,907subscribers

-3,079 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-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 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 September 2026
Measurements held25
Confirmed unchanged1 time, most recently 3 September 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

30,90733,98632,446.57 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 subscribers13 August 2026 — 33,029 subscribers14 August 2026 — 32,907 subscribers16 August 2026 — 32,819 subscribers17 August 2026 — 32,535 subscribers18 August 2026 — 32,343 subscribers19 August 2026 — 32,177 subscribers20 August 2026 — 32,136 subscribers21 August 2026 — 32,086 subscribers23 August 2026 — 31,995 subscribers24 August 2026 — 31,856 subscribers25 August 2026 — 31,724 subscribers27 August 2026 — 31,673 subscribers28 August 2026 — 31,648 subscribers28 August 2026 — 31,615 subscribers29 August 2026 — 31,574 subscribers31 August 2026 — 31,528 subscribers1 September 2026 — 31,181 subscribers1 September 2026 — 31,051 subscribers3 September 2026 — 30,907 subscribers7 August 20263 September 2026
25 measurements spanning 27 days, net -3,079. 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 30,445–34,448 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
3 Sept 2026, 09:2930,907-144
1 Sept 2026, 23:4631,051-130
1 Sept 2026, 02:0531,181-347
31 Aug 2026, 00:2731,528-46
29 Aug 2026, 22:0331,574-41
28 Aug 2026, 23:0431,615-33
28 Aug 2026, 00:3431,648-25
27 Aug 2026, 00:5831,673-51
25 Aug 2026, 21:2431,724-132
24 Aug 2026, 19:2331,856-139
23 Aug 2026, 02:0831,995-91
21 Aug 2026, 17:0532,086-50
20 Aug 2026, 15:0232,136-41
19 Aug 2026, 15:0732,177-166
18 Aug 2026, 11:5732,343-192
17 Aug 2026, 13:3932,535-284
16 Aug 2026, 04:3832,819-88
14 Aug 2026, 16:2532,907-122
13 Aug 2026, 07:2533,029-313
12 Aug 2026, 10:1533,342first reading

Engagement

600 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.70%
avg views ÷ 30,907 subscribers
Avg views / post
524
600 posts measured
Reaction rate
0.149%
reactions ÷ views · ER floor
Posts in window
600
of 600 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 62 of 600 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 4 September 2026
Posts held600 (7 August 20264 September 2026)
Views total314,522
Reactions total66
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 11:25 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
11,300
Videos
2,110
Links
7,140

Lifetime counters from Telegram’s own channel header, read 4 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
1h 42m
Average length
39s

Measured directly from 158 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

66 reactions across 61 posts, in 3 distinct kinds. The most used accounts for 97.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6497.0%
👌11.52%
👍11.52%

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 62 of the 600 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 600 most recent posts we hold, published 7 August 2026 to 4 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

4 Sept 2026, 11:11 UTC6 viewsread 4 September 2026
Photo

#小姐姐投稿:“从去年五月开始,我为了减掉生完三胎后增加的体重,开始去健身房。我 丈夫偶尔在家时也会去这家健身房,他就把他的私教朋友推荐给了我。 我开始跟着他训练。他过去经常陪我晨跑,晚上则在健身房帮我做力量训练。在这个过程中,我们关系越来越亲近,开始花更多的时间相处——通常是在晨跑后或健身结束后,在我家里。他经常夸奖我的努力和外貌,从第一天起就对我非常积极正向。所以基本上他是对我有意思,而我也很享受他的陪伴,因为我中国丈夫白天基本都在公司。 当我们在家时,他充分利用了私密空间,指着我的身体部位来让我理解动作。比如抚摸我的……来告诉我握距的宽窄会如何影响不同的部位,或者抚摸我的背部、腘绳肌和大腿,告诉我哪种练习能针对哪个部位,他还会让我摸他的身体,以便我能‘更好地区分’。起初这还算教学性质,但随后就演变成了赤裸裸的调情,而那时我已经非常乐于接受了。我真的很喜欢这个男人。 在其中一次训练中,我决定去照顾一下他那‘昂首起立的

4 Sept 2026, 11:11 UTC3 viewsread 4 September 2026
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#缅甸资讯:拆是真拆……但看到的未必是全部?新报告质疑“水沟谷拆除行动” 缅甸军政府近期针对克伦邦水沟谷(Shwe Kokko)电诈园区展开的拆除行动,正受到独立调查机构的进一步审视。缅甸调查机构 Myanmar Witness 于2026年8月10日发布最新报告《水沟谷:备受审查的打击行动》(Shwe Kokko: A Crackdown Under Scrutiny),通过地理定位、卫星影像以及数字图像核验等技术,对官方公布的拆除行动进行交叉验证。 报告认为,水沟谷的拆除行动确实发生,但自2026年7月以来,官方公布的信息与可核实影像证据之间出现越来越多的不一致。 官方称拆除77处建筑 据缅甸军政府公布的信息,5月25日开始,在克伦民族军(KNA,前身为BGF)支持下,相关方面对水沟谷部分建筑展开拆除行动。官方称,行动中共发现322处违法建筑,其中77处被列入拆除范围,包括57处使用重型机械拆除、20处通过爆破方式处理。

4 Sept 2026, 10:38 UTC8 viewsread 4 September 2026
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#柬埔寨资讯 干拉省省长下令关闭5家偷偷经营非法网络赌博的赌场,限9月底前停止 干拉省省长高其春下令,位于勒克代克县和萨姆佩奥蓬市的5家赌场,如果存在偷偷经营非法网络赌博业务的情况,必须在2026年9月底前彻底停止相关活动。 这项命令于9月3日下午在干拉省政府举行的一场会议上作出,当地政府、相关部门以及5家赌场的代表参加了会议。 省长强调,必须严厉打击各种形式的非法赌博,尤其是网络赌博,以维护当地治安、社会秩序以及民众生活。 最后期限定为2026年9月30日。从10月1日起,相关部门将直接对这些赌场进行检查,并依法处理,不再给予任何宽限。今后,干拉省的赌场只允许接待亲自到场的客人,不得经营网络下注业务。 高其春同时要求勒克代克县、萨姆佩奥蓬市以及各级执法部门持续跟进和搜集信息,确保9月底之后,干拉省成为一个没有网络赌博活动的示范省份。 此次严厉执法,旨在维护公共秩序,改善当地社会环境和民众生活。 赞助商广告 ✅ 豆豆

4 Sept 2026, 10:10 UTC8 viewsread 4 September 2026
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#网友投稿:来斯里兰卡3个月了,最近跟同事出去玩,好几个同事都找了兰卡妹子,除了有点黑,都挺好看的,看得我心痒痒。 问他们怎么找的也不说,想问下群里的大屌们,这些兰卡妹子都怎么找的,单身30年了,黄金右手撸不动了,想找个兰卡妹子共度余生了。 PS:传统手艺不能丢呀🤣 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

4 Sept 2026, 10:09 UTC6 viewsread 4 September 2026
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#网友投稿:刚刚在西港骑摩托车,被交警拦下,一看我戴头盔了,就查驾照,说没有驾照,罚款500$...他妈的,专查中国人,本地人一个也不查! 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

4 Sept 2026, 09:35 UTC6 viewsread 4 September 2026
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#柬埔寨资讯:滥用职权敲诈9000美元 柴桢省打击经济犯罪局长及司机被移送法办 9月4日上午,内政部刑警局警员已将涉案的春强(Chhun Chang)的司机苏通(Sok Thon)移送至柴桢省初级法院检察署,以便依法进行后续审理。 据执法人员透露,在对嫌疑人苏通进行审讯后,警方得出结论:柴桢省警察局打击经济犯罪办公室主任春强确实涉嫌“敲诈勒索”及“滥用职权”罪。他滥用职权,在无搜查令、无检察官指令且未制作案卷笔录的情况下,擅自拦截运载布料的货车并将车辆押扣至其租住处,以此威胁货主;并在苏通从货主处收到钱款后下令放人放车。 至于苏通,其行为确实构成“敲诈勒索共犯”。他参与协助在春强租住处向原告收取9,000美元现金,并将这笔犯罪所得资金运回老家藏匿。 这就是利用职务之便非法谋取的代价:不仅身败名裂、面临法律制裁、丢掉工作,稍有不慎还将面临多年的牢狱之灾。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉

4 Sept 2026, 09:35 UTC5 viewsread 4 September 2026
Video

一位柬埔寨本地司机的吐槽:柬埔寨交通警察一伸手就问是不是载了中国人,得知载的是柬埔寨人后,就说:“那没事了,兄弟走吧”🤣 👉 这就是所谓的依法执勤吗???? 难道只要载中国人就统统算违法?我真是百思不得其解?? 你一个本地人, 按道理应该熟悉国情 装什么外宾? 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

4 Sept 2026, 08:57 UTC6 viewsread 4 September 2026
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#群友投稿:西港蓝色海湾正在搬家,估计收到了风声,现在才撤离,看来这次西港要翻天。 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

4 Sept 2026, 08:33 UTC6 viewsread 4 September 2026
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#网友投稿:在宿舍上厕所突然出现一条蛇,吓死我了 上厕所上得好好的,低头一看,蹲坑里居然盘着一条蛇,头哪里还敢动,整个人直接头皮发麻、毛骨悚然! 本来是去厕所的,结果硬生生被吓出了心理阴影,这种场面,搁谁身上谁不得当场吓懵啊! PS:好险,差点蛋蛋不保了🤣这蛇估计是想吃个蛋补补身体。 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

4 Sept 2026, 08:33 UTC4 viewsread 4 September 2026
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#群友投稿:在东南亚的福建人有那些优点? 闽南文化中强烈的“抱团”和“宗族”观念,在合法商业里是团结的优势,但在黑灰产中却变成了极高的信任机制和极低的背叛风险。 一人带一村:黑灰产的扩散往往遵循“一人暴富,全家跟进,全村效仿”的裂变模式。核心头目(庄家、盘总)在赚取暴利后,会优先招募自己的亲戚、同乡充当骨干,形成封闭且难以渗透的团体,所以很多闽南人能够在回去的时候平安落地。 而外省的人往往就是因为不够团结,一点毛头小利不对,就认为对方就是在按算自己的。这种极低的信任危机,导致了很多人被曝光,以及国内上名单,所以无法真正的安全返回国内。 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

4 Sept 2026, 08:33 UTC3 viewsread 4 September 2026
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超400名印尼电诈人员滞留金边旧机场 呼吁使馆介入协助回国 柬媒报道,475名(含48名女性)因非法在柬从事网络诈骗的印尼籍人员,目前被集中安置于金边旧机场货运区临时居留点。 该批人员系柬政府此前打击电诈时自行脱离窝点并向印尼驻柬使馆求助者,大多缺乏护照、非法居留或无力购买机票。 据悉,印尼使馆此前曾协助提供膳食及通行文件,但自8月30日起因资金耗尽停止资助。滞留人员生活陷入困境,急切呼吁印尼政府及使馆协助办理旅行证件并安排回国。 印尼狗推再忍忍吧 印尼政府没预算了~~ 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

4 Sept 2026, 07:27 UTC9 viewsread 4 September 2026
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#群友爆料:璀璨星河会所老板(名字:杨彪和四川泸州龙姐,中国公民) 表面上是在金边开会所和饭店,实际上在柬埔寨专干绑架、买卖人口、跨国组织卖淫罪、开设赌场罪。 她们太平层买在湄公河畔·摩根大厦28楼,在柬埔寨的华人注意这两个垃圾。虽然犯罪地点在金边,但属于中国人,根据刑法属人管辖,我国公安机关有管辖权。 该人在境外经营赌场,招揽国内公民参赌;同时招募、控制国内女性在境外从事卖淫活动。现已公安部刑事立案,对嫌疑人开展侦查,录入追逃,待嫌疑人回国实施抓捕。 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 600 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.

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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾吃瓜新闻日记” (@FLB002), 30,907 subscribers as measured 3 September 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.