Channel
@feilvbin177
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
1,012subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002521836503 |
|---|---|
| Type | Channel |
| Username | @feilvbin177 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 2 times, most recently 10 August 2026 |
| On Telegram | t.me/feilvbin177 |
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 100% 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.
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.
Posts published here appear word for word on 1 other registered channel. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @feilvbin177/4283 · this entry5 Aug 2026, 03:20 UTC | @FLB_88/44955 Aug 2026, 07:59 UTC | 1.00 | 4.7 hours |
| @feilvbin177/4286 · this entry5 Aug 2026, 07:23 UTC | @FLB_88/44965 Aug 2026, 07:59 UTC | 1.00 | 36 minutes |
| @feilvbin177/4294 · this entry5 Aug 2026, 07:58 UTC | @FLB_88/45045 Aug 2026, 07:59 UTC | 1.00 | under a minute |
| @FLB_88/45086 Aug 2026, 10:14 UTC | @feilvbin177/4300 · this entry6 Aug 2026, 10:20 UTC | 1.00 | 7 minutes |
| @FLB_88/45096 Aug 2026, 10:14 UTC | @feilvbin177/4301 · this entry6 Aug 2026, 10:20 UTC | 1.00 | 7 minutes |
| @FLB_88/45116 Aug 2026, 10:14 UTC | @feilvbin177/4303 · this entry6 Aug 2026, 10:20 UTC | 1.00 | 7 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @FLB_88 | 18 (7/8 hand-verifiable sample passed) | 1.00 | 7 minutes | this entry (13–5) |
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 20 comparable posts for this entry, running 4 August 2026 to 6 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.
Across the whole group of 2, the earliest publisher we hold is @feilvbin177 — 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 05:53 | 1,012 | -1 |
| 6 Aug 2026, 19:51 | 1,013 | first reading |
20 posts held, back to 4 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (4 August 2026 – 6 August 2026) |
| Views total | 41 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:51 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.
#菲律宾新闻 近半菲律宾民众认为这一项指控最致命 莎拉弹劾压力持续升温 菲律宾副总统莎拉弹劾案星期一继续审理。最新公布的一项民调显示，43%的受访者认为，“涉嫌行贿”是针对莎拉所有弹劾指控中最严重的一项；另有28%的人认为，滥用机密资金的问题最值得关注。 从年龄层来看，各年龄段受访者大多都把行贿列为最严重的指控。其中，25岁至34岁群体占比最高，达到52%。不过，在18岁至24岁的年轻受访者中，也有35%的人认为，机密资金的使用问题更严重，反映不少年轻选民更关注公共资金是否被合理使用。 这项调查由菲律宾大学独立研究机构OCTA Research进行，于7月4日至11日访问了1200名18岁及以上民众，误差范围为正负3个百分点。 与此同时，莎拉弹劾案已经进入第11天审讯。检方当天继续围绕副总统办公室及教育部使用的约6亿1250万比索机密资金展开举证，并传召相关审计人员出庭作证。 根据检方说法，这笔资金在申请、提取及核销…
菲律宾交通执法员执勤遇袭遭枪击 系当地第三起同类案件 菲律宾米沙亚普市发生一起恶意袭警案件，一名交通执法人员在执勤过程中遭不明枪手枪击重伤，生命垂危。事件发生于周二上午10时，43岁执法人员朱伊斯·雷贝拉尔·拉霍特在巴朗盖波布拉西翁1号一家面包店前执勤时，被暗处枪手从背后偷袭枪击。 监控画面显示，行凶者佩戴深色墨镜与白色口罩，身着无袖上衣和蓝色工装短裤，开枪后迅速驾乘摩托车逃窜，目前身份不明。伤者随即送医抢救，仍在全力救治中。 当地市长罗利·萨克达兰严厉谴责此次暴力袭警行径，下令警方全力追凶、严惩肇事者。由威廉·法克索伊中校带队的当地警局同步发声谴责该恶劣行为，并全面展开侦查与追捕工作。据悉，这已是米沙亚普市第三位执勤遇袭遭枪击的交通执法人员。
#医美乱象 #跨境行医 #消费者权益 11500比索的“医美陷阱”：菲律宾非法美容店为何屡禁不止？ 一块瘦脸针，一台纹眉机，一瓶未注册的美白针——这套“三无装备”竟能开出一家美容诊所。菲律宾国调局近日在甲米地市查处一家非法美容院，卧底探员以11500比索的“套餐价”引出无证美容师，现场逮捕。这并非孤例——此前BGC已有两名中国公民因非法行医落网。无执照、无资质、无注册产品的“三无”模式，以低价吸引消费者，却把安全风险完全转嫁给顾客。国调局特别强调：美容培训证书不等于合法执业资格，注射类操作必须由持证医生执行。非法医美的背后是暴利冲动，但消费者的脸和身体承担不起试错成本。这次抓人不是终点，而是提醒——美丽可以追求，但安全不能打折。
菲律宾卡加延德奥罗市街区突发火情 消防力量紧急处置 8月4日周二下午，菲律宾卡加延德奥罗市突发火灾事故，火情发生在该市7号社区的Burgos-JR Borja Extension道路沿线。火情突发后，当地迅速启动应急处置机制，官方消防局人员联合志愿消防队伍第一时间赶赴现场，全力开展灭火作业。 为保障救援工作高效推进，避免道路拥堵耽误救灾进度，当地政府紧急发布通行提示，呼吁过往车辆与民众主动绕行火灾事发路段，为消防救援车辆开辟畅通通道，确保救援人员能够快速开展火情扑救、现场排查等各项应急工作。目前现场灭火处置工作仍在有序进行中。
菲律宾抓获头号通缉犯，涉六项未成年强奸罪落网 8月5日，民马罗巴省头号通缉犯在朗布隆省落网。当地多部门联合开展专项抓捕行动，成功将这名身负六项未成年强奸罪的嫌疑人逮捕归案。本次行动由刑事调查和侦查组牵头，多支警务、情报及海事执法队伍协同配合。 警方依据当地法院7月22日签发的逮捕令实施抓捕，嫌疑人涉嫌违反菲律宾反强奸法等多项法规。目前嫌疑人已被控制，案件将依法开展后续审理工作。
#菲律宾新闻 菲南部海域突发 7.0级地震 达沃多地强烈震感 菲律宾火山地震研究所（PHIVOLCS）通报，8月5日中午12时13分，菲律宾南部海域发生7.0级地震。 此次地震震源深度约10公里，震中位于达沃西部省萨兰加尼市以南约258公里的海域。地震发生后，萨兰加尼市录得5级震感，当地居民明显感觉到房屋和地面晃动。菲律宾火山地震研究所表示，目前没有发现海啸威胁，也未发布沿海撤离警报。 截至目前，暂无人员伤亡或重大财产损失报告。当地政府和救灾部门正在持续检查受影响区域，后续情况仍有待进一步确认。
#菲律宾新闻马卡蒂市发生枪击案一人死亡一人受伤 一名女子在马卡蒂市一起枪击事件中死亡，另一人受伤。 事件发生于当晚约6:45，地点位于马卡蒂市马卡蒂大道City Garden区域附近。 根据初步调查，两名女性受害者遭到身份不明的嫌疑人开枪袭击。 警方及相关部门接报后迅速赶到现场，并将两名伤者送往医院抢救，但其中一名女子到院时已被宣布死亡（DOA，Dead on Arrival）。 目前，执法部门仍在继续调查此案，以确认嫌疑人的身份以及作案动机。
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菲律宾阿布拉省政府军与武装分子交火，疑似新人民军成员 8月2日下午，菲律宾政府军在阿布拉省Licuan-Baa镇Bonglo村与约10名武装人员发生交火。据第503步兵旅初步报告，第50步兵营Alpha连由Joseph M. Gabinay中尉率领，在执行安全行动时遭遇该武装团体。 第5步兵师表示，这些武装人员据信为新人民军伊洛科斯-科迪勒拉地区委员会成员。第503步兵营称，将在核实细节后发布更多信息。目前伤亡情况及冲突细节尚未披露。
#马达加斯加组建反诈专案组并推动反人口贩运法律修订 近日，电信诈骗犯罪团伙持续向马达加斯加转移盘踞，当地人口贩运相关犯罪风险同步走高。为应对这一跨国犯罪难题，马达加斯加内阁于本周二召开会议，审议通过两项法令，正式设立两支独立又协同联动的专项工作组，分别专职打击人口贩运、遏制电信诈骗犯罪蔓延。 在新版人口贩运法案完成审议落地前，两支队伍将全面强化该国针对跨国犯罪网络的打击处置力度。 马达加斯加国家打击人口贩运办公室介绍，随着当地对外开放程度提升、旅游业持续发展，不法分子趁机扎根作案。犯罪团伙主要通过发布虚假正规招聘信息诱骗外地求职者，受害人抵达马达加斯加后便会被限制人身自由，遭到胁迫参与各类网络诈骗。联合国毒品和犯罪问题办公室已将此类作案模式定性为以强迫他人犯罪为目的的人口贩运。 不过受现有法律条文限制，当前马国司法体系暂无法将被胁迫参与电诈的人员认定为人口贩运受害者。 该办公室执行秘书埃里克·拉马汉德里苏阿在7月24日…
菲律宾警方专项行动收官，一月抓获310名通缉逃犯 截至2026年8月，菲律宾第六警区在西米沙鄢地区开展专项搜捕整治行动，重拳打击在逃人员，一月内累计抓获310名通缉犯。其中包含70名重点头号通缉犯、240名普通通缉人员，战果十分亮眼。本次行动斩获重大突破，警方仅用两周时间，成功抓捕当地十大高危通缉人员。各辖区警力通力协作，伊洛伊洛省警局抓捕人数领跑全区，共计119人，其余各市、省警局也相继完成抓捕任务，专业刑侦部门同步助力攻坚，高效肃清当地在逃违法人员，极大震慑区域违法犯罪势力。
Showing the 12 most recent of 20 posts we hold for @feilvbin177. 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 — 228,674 of 1,084,084entries 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.
Named by 42 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@feilvbin177 named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“菲律宾新 闻🌎” (@feilvbin177), 1,012 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/feilvbin177.
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.