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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

28,336subscribers

-5,650 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 live20 October 2026
Measurements held43
Confirmed unchanged1 time, most recently 20 October 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 (5–0)

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. 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

28,33633,98631,1617 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 subscribers5 September 2026 — 30,806 subscribers8 September 2026 — 30,552 subscribers11 September 2026 — 30,140 subscribers13 September 2026 — 30,002 subscribers14 September 2026 — 29,961 subscribers16 September 2026 — 29,906 subscribers18 September 2026 — 29,850 subscribers25 September 2026 — 29,627 subscribers4 October 2026 — 29,036 subscribers8 October 2026 — 28,763 subscribers12 October 2026 — 28,637 subscribers14 October 2026 — 28,562 subscribers15 October 2026 — 28,509 subscribers16 October 2026 — 28,472 subscribers17 October 2026 — 28,424 subscribers18 October 2026 — 28,400 subscribers19 October 2026 — 28,369 subscribers20 October 2026 — 28,336 subscribers7 August 202620 October 2026
43 measurements spanning 74 days, net -5,650. 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 27,489–34,834 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)SubscribersChange
20 Oct 2026, 08:4128,336-33
19 Oct 2026, 09:5928,369-31
18 Oct 2026, 11:4028,400-24
17 Oct 2026, 11:4628,424-48
16 Oct 2026, 10:1728,472-37
15 Oct 2026, 13:3828,509-53
14 Oct 2026, 12:2228,562-75
12 Oct 2026, 23:0728,637-126
8 Oct 2026, 13:1828,763-273
4 Oct 2026, 02:3929,036-591
25 Sept 2026, 08:5929,627-223
18 Sept 2026, 23:2229,850-56
16 Sept 2026, 16:5729,906-55
14 Sept 2026, 20:0029,961-41
13 Sept 2026, 06:5830,002-138
11 Sept 2026, 12:1630,140-412
8 Sept 2026, 17:5930,552-254
5 Sept 2026, 08:2130,806-101
3 Sept 2026, 09:2930,907-144
1 Sept 2026, 23:4631,051first reading

Engagement

1,331 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 120 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.49%
avg views ÷ 28,336 subscribers
Avg views / post
2,410
656 posts measured
Reaction rate
0.049%
reactions ÷ views · ER floor
Posts in window
656
of 1,331 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 118 of 656 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 20 October 2026
Posts held1,331 (7 August 2026 – 20 October 2026)
Views total1,577,806
Reactions total118
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Oct 2026, 14:49 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
≈13,500
Videos
≈2,690
Links
≈8,930

Lifetime counters from Telegram’s own channel header, read 20 October 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 16m
Average length
1m 16s

Measured directly from 250 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

149 reactions across 148 posts, in 8 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉3020.1%
🤩2617.4%
🥰2516.8%
👏2214.8%
👍1812.1%
🔥1711.4%
❤96.04%
💯21.34%

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 149 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 149 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 24 August 2026 to 20 October 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

20 Oct 2026, 14:48 UTC3 viewsread 20 October 2026
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中缅边境手持西瓜刀拦路抢劫,自驾摩友路遇“硬核讨钱”老人! 自驾摩友行驶在中缅边境途中,竟遇上一名手持菜刀、拦路讨钱的老人。对方个子不高,手里却紧紧攥着一把刀,拦住摩友后直接开口要钱,场面一度令人紧张。 摩友见状,判断对方可能只是想讨点钱,并没有表现出明显的恶意,于是拿出一些零钱递给老人,希望花点小钱,赶紧把事情解决。 谁知,钱给了,对方却不讲武德! 本以为掏点零钱就能平安过路,没想到事情并没有那么简单。原本只是一次普通的自驾旅途,却意外遭遇这样的惊险一幕。 出门在外,尤其是在偏僻路段,遇到持刀拦路的人,千万别因为对方年纪大、个子矮就掉以轻心。钱财事小,人身安全才是第一位。 提醒广大网友:路上风景再美,也要时刻保持警惕。遇到持刀拦路的情况,尽量保持距离,不要贸然争执,确保安全后及时报警! 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/addli…

20 Oct 2026, 14:30 UTC1 viewsread 20 October 2026
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金边警方再突查一处非法网络活动窝点,多人被抓! 金边水净华区章宗烈分区,警方突击查处第二处涉嫌非法网络活动的窝点。 据现场消息,警方已在大楼内抓获多人。 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

20 Oct 2026, 14:30 UTC1 viewsread 20 October 2026
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#泰国资讯:曼谷拉玛九区逮捕中国籍商人:涉保险投资诈骗 2.2 亿泰铢,将遣返中国 泰国移民局10月20日在曼谷拉玛九区控制一名41岁中国籍商人(化名"马先生"),其因中国司法机关逮捕令被通缉,涉嫌在北京以投资保险公司为名诱骗逾100名受害者,损失合计约2.2亿泰铢。行动源于中国驻泰使馆经泰国国家警察总署外事部门转交的在逃人员名单,警方落地排查后将其抓获,将按程序协调遣返回中国受审。 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

20 Oct 2026, 13:57 UTC≈2,820 viewsread 20 October 2026
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#每日一学:长期打飞机的兄弟们,天大的福报来了!赶紧学起来! 平时一个人练得炉火纯青,手速快得像开了外挂,结果一到实战,直接变成新手教程! 女朋友刚进入状态,你这边已经开始收拾装备了!人家是来谈恋爱的,你是来打卡下班的? 别人做爱讲究持久战,你倒好,主打一个速战速决,连前戏都没结束,你就已经开始复盘了!兄弟,记住一句话:手速快不算本事,能稳住才是王道! 别在单身的时候练成了电竞选手,脱单以后却成了“一分钟体验卡” 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

20 Oct 2026, 13:35 UTC≈2,830 viewsread 20 October 2026
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#马来西亚资讯:前5个月被捕外国人近七成是中国公民 马来西亚全国商业罪案调查局10月20日通报,今年1至5月共逮捕1462名涉商业犯罪外国人,其中中国籍993人、占近68%,多数持社交访问签证入境。 同期彭亨州警方在关丹、云顶高原、文冬等地5次突击,抓获31人(含25名中国籍),涉网络投资、爱情诈骗及假冒亚马逊兼职,受害者遍布中国、欧洲和美国。 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

20 Oct 2026, 13:32 UTC1 viewsread 20 October 2026
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#最新消息:金边水净华区第二分区一处地点,遭到警方包围。据反馈,抓了三个涉嫌电诈的推推。 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

20 Oct 2026, 13:32 UTC181 viewsread 20 October 2026
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#网友投稿:胡志明2郡 “Feliz En Vista (Altaz)公寓” ,今晚会有警方开展例行检查,在这里的注意了 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

20 Oct 2026, 13:31 UTC≈2,830 viewsread 20 October 2026
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#马来西亚资讯:吉打州49人涉网络诈骗案开庭 8名本地男子认罪 各罚款5000令吉 10月20日,马来西亚吉打州居林推事庭审理一起网络诈骗案件,共有49名被告出庭,包括8名马来西亚男子及41名印度、巴基斯坦籍人员。 8名本地男子当庭承认参与网络诈骗活动,法庭判处每人罚款5000令吉。另外41名外籍被告,包括7名女性,均不认罪。法庭将案件定于11月24日再次过堂。 根据控状,相关人员于10月9日晚上8时,在居林太子城一处地点共同参与网络诈骗活动。 警方此前捣毁该诈骗集团,发现涉案人员涉嫌冒充印度警察实施网络诈骗。此外,3名本地被告还面临容留17名非法移民的指控,三人均不认罪,获准各以8000令吉保释。有关移民案件定于2027年1月18日再次过堂。 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 ⚠️…

20 Oct 2026, 13:31 UTC≈2,840 viewsread 20 October 2026
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#女主澄清:这个造谣的男的是个死舔狗,你和我打了个免费的炮吗?然后我偷你手机吗? 虽然我不知道你是谁,但根据你的行为来看,你是我第一次见到这么装的人,本事没有,喜欢找存在感。就我和你约炮?我缝起来都不给你。你只配天天打飞机。 你在网上黑我的时候,摆出一副受害者姿态,手握什么铁证似的,恨不得让全世界都信你。结果我出来回应,说不认识你,要证据可以找群主拿我联系方式,我们当面谈清楚,甚至可以去警局调查。你直接把帖子删了。 有意思的是,你之前不是挺会定罪的吗?怎么现在反倒不敢面对了?是不是只敢在网上逞英雄,真要核实就装死? 你这种人就是典型的键盘侠,网上巨人,现实隐形人。你们公司要是之前被人曝光,可能也是被你这种人给害的。麻烦你们领导好好查查,9点上班的那个公司,公司位置就不发了,该管就管,该换就换。 你这种行为已经污染到公司了,建议管理层处理一下。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 …

20 Oct 2026, 12:11 UTC≈1,310 viewsread 20 October 2026
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#反腐调查:菲律宾反贪法院10月19日下令,对参议员罗丹特·马科莱塔实施90天预防性停职,涉及掠夺公款及违反相关总统令的案件。 检方指控,马科莱塔担任众议员期间,#涉嫌非法积累7500万比索,却未在竞选捐款及支出报告中申报。前议员迈克·德芬索和商人亚里士多德·维雷也被列为同案被告 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

20 Oct 2026, 11:54 UTC≈3,410 viewsread 20 October 2026
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#网友反馈:金边市栋奔区胜利分区的 Le Themoon 名称的旅馆,有警察检查,在附近的注意了。 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

20 Oct 2026, 11:46 UTC≈1,290 viewsread 20 October 2026
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#群友投稿:今天中午,老挝磨丁N16-4栋楼上,又一个窝点被端掉。 PS:阿祖回国吧。 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 1,331 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 11 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.

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 20 October 2026 — this entry's latest reading, not the date you are reading this.

“菲律宾吃瓜新闻日记” (@FLB002), 28,336 subscribers as measured 20 October 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.