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Telegram profile photo for 菲龙网新闻中文媒体【官方】 Secondary channel

Channel

菲龙网新闻中文媒体【官方】 Secondary channel

@duterte

3 usernames

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

7,687subscribers

-347 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001007409805
TypeChannel
Usernames@ancalerts @duterte @feilongwang2
Description👉 This is our secondary channel. 👉 Our main channel is @Resou. 🔘吃瓜一线: @dagua (大瓜) 🔘华人社群: @shequn (社群) 🔘求职跳槽: @tiaocao (跳槽) 🔘好店推荐: @wangdian (旺店) 🔘福利视频: @zhibojian(直播间) 🔘闲置转手: @zhuanshou (转手) 🔘房屋租售: @fangdichan (房地产) 🔘菲龙客服: @zongbian (招商+发帖)
CreatedBetween 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 August 2026
Measurements held22
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/duterte

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 45% 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 7 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
@feihuawang/452127 Aug 2026, 04:02 UTC@duterte/37444 · this entry7 Aug 2026, 04:02 UTC1.00under a minute
@duterte/37445 · this entry7 Aug 2026, 04:19 UTC@feihuawang/452137 Aug 2026, 04:19 UTC1.00under a minute
@feihuawang/452147 Aug 2026, 05:19 UTC@duterte/37446 · this entry7 Aug 2026, 05:19 UTC1.00under a minute
@duterte/37450 · this entry7 Aug 2026, 07:00 UTC@feihuawang/452187 Aug 2026, 07:00 UTC1.00under a minute
@duterte/37454 · this entry7 Aug 2026, 10:02 UTC@feihuawang/452227 Aug 2026, 10:02 UTC1.00under a minute
@duterte/37459 · this entry7 Aug 2026, 11:41 UTC@feihuawang/452257 Aug 2026, 11:41 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@feihuawang19 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (190)
@feilongwang19 (8/8 hand-verifiable sample passed)1.00under a minute@feilongwang (190)
@boduwang19 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (190)
@mengliao15 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (150)
@tnaot13 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (130)
@taiguowang12 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (120)
@jiandanwang8 (8/8 hand-verifiable sample passed)1.00under a minutethis 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. 19 of the 19 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 42 comparable posts for this entry, running 6 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 8, the earliest publisher we hold is @duterte — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 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 7 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

7,6878,0347,860.57 August 2026 — 8,034 subscribers7 August 2026 — 8,031 subscribers8 August 2026 — 8,029 subscribers9 August 2026 — 8,027 subscribers11 August 2026 — 8,019 subscribers12 August 2026 — 8,017 subscribers14 August 2026 — 8,004 subscribers14 August 2026 — 8,003 subscribers15 August 2026 — 8,003 subscribers16 August 2026 — 8,000 subscribers18 August 2026 — 7,993 subscribers18 August 2026 — 7,993 subscribers18 August 2026 — 7,992 subscribers21 August 2026 — 7,986 subscribers21 August 2026 — 7,984 subscribers21 August 2026 — 7,984 subscribers24 August 2026 — 7,858 subscribers24 August 2026 — 7,858 subscribers25 August 2026 — 7,858 subscribers28 August 2026 — 7,687 subscribers28 August 2026 — 7,687 subscribers28 August 2026 — 7,687 subscribers7 August 202628 August 2026
22 measurements spanning 21 days, net -347. 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 7,635–8,086 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
28 Aug 2026, 06:467,687no change
28 Aug 2026, 06:347,687no change
28 Aug 2026, 05:537,687-171
25 Aug 2026, 00:067,858no change
24 Aug 2026, 22:147,858no change
24 Aug 2026, 21:277,858-126
21 Aug 2026, 16:047,984no change
21 Aug 2026, 14:477,984-2
21 Aug 2026, 05:467,986-6
18 Aug 2026, 16:227,992-1
18 Aug 2026, 09:577,993no change
18 Aug 2026, 07:587,993-7
16 Aug 2026, 02:368,000-3
15 Aug 2026, 00:558,003no change
14 Aug 2026, 23:468,003-1
14 Aug 2026, 12:338,004-13
12 Aug 2026, 12:278,017-2
11 Aug 2026, 06:028,019-8
9 Aug 2026, 13:018,027-2
8 Aug 2026, 16:468,029first reading

Engagement

317 posts held, back to 6 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.16%
avg views ÷ 7,687 subscribers
Avg views / post
243
317 posts measured
Reaction rate
0.217%
reactions ÷ views · ER floor
Posts in window
317
of 317 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 1 of 317 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 28 August 2026
Posts held317 (6 August 202628 August 2026)
Views total76,936
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 21:04 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
10,200
Videos
19,400
Links
19,600

Lifetime counters from Telegram’s own channel header, read 28 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
2h 07m
Average length
39s

Measured directly from 196 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 317 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 317 most recent posts we hold, published 6 August 2026 to 28 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

28 Aug 2026, 18:02 UTC385 viewsread 28 August 2026
Video

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Signed 菲龙网 @FeiLongWang

28 Aug 2026, 17:02 UTC294 viewsread 28 August 2026
Video

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Signed 菲龙网 @FeiLongWang

28 Aug 2026, 17:00 UTC394 viewsread 28 August 2026
Video

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Signed 菲龙网 @FeiLongWang

28 Aug 2026, 16:16 UTC2 viewsread 28 August 2026
Photo

#群友投稿 此人福建安溪长坑乡华美村(王福山)外号(黑牛)在东南亚声称(阿庆)王福山妻子福建安溪长坑凤山村(陈凤程)王福山父亲长坑杀猪的是个大赌鬼,妻离子散,家庭成员有个姐姐在安溪县城开牙科店 王福山妻子(陈凤程)夫妻常年对打,因王福山(黑牛)装珠,常年嫖娼,身中梅毒,淋病,等多年,其妻定居厦门常年跟王福山情敌林某某生活7年 王福山早年在越南胡志明第七郡做电信网络诈骗彩票盘口后台私自改奖,期间有点好转2019年转移前往菲律宾加入(辉煌集团)王福山代理主要负责人做电信网络诈骗盘口高峰期盘口员工达数百人期间王福山高压管理模式,直到菲律宾大扫荡公司才收散,期间又转到东南亚涉及大量洗钱金额达到其他亿元,到了2025年初来到柬埔寨西港跟他表哥参考各电信诈骗项目,国内资金盘,国内空降,国际杀洋盘期间在柬埔寨封闭式园区开展办公室所有狗推全是赌场和骗招从 5000-20000美金买卖人口,公司发展至上百人,狗推如果没出业绩长期压榨殴打员工

Signed 「菲龍网」总编

28 Aug 2026, 16:09 UTC323 viewsread 28 August 2026
Photo

#温馨提示:西港老铂莱十字路口这个位置警察查车、路过的朋友注意

Signed 菲龙网 @FeiLongWang

28 Aug 2026, 16:02 UTC375 viewsread 28 August 2026
Photo

#telegram:解双向,限制群组发言教程 👉第一步:打开 @spambot 👉第二步:点击 Start 👉第三步:点击This is a mistake 👉第四部:点击yes 👉第五步:点击 No,I'll never do any of this! 👉第六步:回复 I have no idea, I have always been very abiding by the use of telegram. It's just that there are too many malicious people in my peers who maliciously complained about me. 一般几个小时就恢复了 *会员*帐号秒解双向限制教程: 1.Telegram 搜索栏搜索:Spam Info Bot 也可点击 @SpamBot 开始对话,并按顺序点击以下内容 2. /start 3. OK 4.

Signed 菲龙网 @FeiLongWang

28 Aug 2026, 16:00 UTC190 viewsread 28 August 2026
Video

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Signed 菲龙网 @FeiLongWang

28 Aug 2026, 15:21 UTC331 viewsread 28 August 2026
Video

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Signed 菲龙网 @FeiLongWang

28 Aug 2026, 15:00 UTC246 viewsread 28 August 2026
Photo

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Signed 极搜🔍资源搜索@JISOU

28 Aug 2026, 15:00 UTC357 viewsread 28 August 2026
Video

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Signed 菲龙网 @FeiLongWang

28 Aug 2026, 14:48 UTC275 viewsread 28 August 2026
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中国驻菲律宾使馆通报,8月26日在中菲两国执法部门通力合作下,长期潜逃在菲绑架团伙头目邱某某被成功抓获并遣返回国。 #菲律宾 #中国驻菲律宾使馆 #绑架 😀😀😀😀😀😀😀😀😀😀😀 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡ 玩U投,上TG娱乐城 2026美加墨世界杯官方指定投注平台 全网最强福利 最高返利75% 全网上押担保1300万u 业界龙头 网投领导者 首存送 复存送 充值笔笔加赠3% 电子真人0审核0风控包出款 单笔提款百万u秒出 大额无忧 信誉老台 强力推荐 😀😀😀😀😀😀 😀 投稿客服 📱 资源搜索

Signed 菲龙网 @FeiLongWang

28 Aug 2026, 14:22 UTC400 viewsread 28 August 2026
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#网友投稿 这次 #特区大检查,我一个兄弟之前在特外的顺天酒店附近办公,由于检查太严格,被公司带到了 #新梦安 那边重新找了一个场地。 之前我们一直有在联系,他在的公司是柬埔寨下来的,一直在谈着赔付,刚开始他公司说如果想走,就只需要把下来特区的路费给了,就可以走了,这次搬到新梦安后,该公司做国内军包,现在我朋友已经是被收手机了,已经7天联系不上了。 如果在联系不上,我会把你们公司名字和位置曝光出去,老挝警察可以去到“新梦安”找找业绩,那边很多人没护照,做国盘 😀😀😀😀😀😀😀😀😀😀😀 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡ 玩U投,上TG娱乐城 2026美加墨世界杯官方指定投注平台 全网最强福利 最高返利75% 全网上押担保1300万u 业界龙头 网投领导者 首存送 复存送 充值笔笔加赠3% 电子真人0审核0风控包出款 单笔提款百万u秒出 大额无忧 信誉老台 强力推荐 😀😀😀😀😀😀 😀 投稿客服 📱 资源搜索

Signed 菲龙网 @FeiLongWang

Showing the 12 most recent of 317 posts we hold for @duterte. 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 — 1,094,583 of 1,626,935entries 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 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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“菲龙网新闻中文媒体【官方】 Secondary channel” (@duterte), 7,687 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/duterte.

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.