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Channel
菲律宾大事件 全球曝光🚀
@feilvbin198
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
79,701subscribers
-14,428 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 | -1001909718355 |
|---|---|
| Type | Channel |
| Username | @feilvbin198 |
| Description | 投稿爆料发布: @pindao998 商务合作: @pindao998 专注于菲律宾新闻 曝光东南亚华人圈子的大小事情,希望对大家有所帮助,避免更多的人踩坑。 不要问在不在 投稿直接发送内容 #菲律宾 #柬埔寨 #泰国 #马来西亚 #东南亚 #缅甸 #亚太 |
| Created | Between 1 March 2023 and 31 December 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/feilvbin198 |
Topic
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 10:49 | 79,701 | -1,448 |
| 9 Nov 2026, 15:01 | 81,149 | -1,281 |
| 8 Nov 2026, 07:18 | 82,430 | -1,057 |
| 7 Nov 2026, 03:10 | 83,487 | -629 |
| 6 Nov 2026, 02:56 | 84,116 | -609 |
| 5 Nov 2026, 00:51 | 84,725 | -745 |
| 3 Nov 2026, 21:46 | 85,470 | -713 |
| 2 Nov 2026, 21:26 | 86,183 | -714 |
| 1 Nov 2026, 20:44 | 86,897 | -976 |
| 31 Oct 2026, 17:06 | 87,873 | -972 |
| 30 Oct 2026, 20:11 | 88,845 | -1,920 |
| 29 Oct 2026, 22:56 | 90,765 | -1,022 |
| 28 Oct 2026, 23:40 | 91,787 | -916 |
| 27 Oct 2026, 23:26 | 92,703 | -973 |
| 26 Oct 2026, 23:19 | 93,676 | -861 |
| 26 Oct 2026, 02:26 | 94,537 | -1,300 |
| 25 Oct 2026, 01:05 | 95,837 | -1,273 |
| 24 Oct 2026, 04:21 | 97,110 | +9,336 |
| 23 Oct 2026, 06:18 | 87,774 | -1,422 |
| 22 Oct 2026, 05:38 | 89,196 | first reading |
Engagement
3,004 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 196 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.97%
- avg views ÷ 79,701 subscribers
- Avg views / post
- 2,360
- 558 posts measured
- Reaction rate
- 0.034%
- reactions ÷ views · ER floor
- Posts in window
- 841
- of 3,004 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 11 of 558 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 3,004 (7 August 2026 – 11 November 2026) |
| Views total | 1,319,246 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 19:47 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
- ≈28,200
- Videos
- ≈7,060
- Links
- ≈19,500
Lifetime counters from Telegram’s own channel header, read 11 November 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 13m
- Average length
- 16s
Measured directly from 269 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
20 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 45.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 9 | 45.0% | |
| ⚡ | 3 | 15.0% | |
| ❤ | 3 | 15.0% | |
| 👏 | 1 | 5.00% | |
| 🔥 | 1 | 5.00% | |
| 😁 | 1 | 5.00% | |
| 🤩 | 1 | 5.00% | |
| 🥰 | 1 | 5.00% |
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 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 20 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 8 October 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 1 of 841 posts held from the last 30 days (0.119%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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监狱长澄清罗穆亚尔德斯工作人员探视安排 菲律宾监狱长卢尔德斯·帕西翁周一澄清,前议长、莱特省众议员马丁·罗穆亚尔德斯的私人工作人员阿尔文·德古兹曼仅在探视时间停留于新奎松市监狱。帕西翁在廉政法庭第三分庭就罗穆亚尔德斯行踪举行的听证会上作出上述说明。此前专栏作家拉蒙·图尔福指称罗穆亚尔德斯可随意乘救护车离开监狱,图尔福随后已撤回该说法。罗穆亚尔德斯因涉嫌参与防洪工程回扣案面临74亿比索掠夺指控而被拘留。帕西翁表示,德古兹曼被列入探视名单,获准在上午8时至下午5时进入牢房,探视时间结束后则24小时待命。她并为早前称德古兹曼全天候陪伴罗穆亚尔德斯的说法向法庭道歉,称当时一时慌乱。罗穆亚尔德斯的法律顾问朱达·罗伊确认,律师团队曾请求监狱管理与刑罚局允许长期工作人员德古兹曼协助处理医疗需求。 =============================== 💎😑🫤😐🫥😶🤥🫠🤫🫡🫢 ⚡️ 人民币注册 ⚡️ USDT注册😑注册就送28.8u…
Showing the 12 most recent of 3,004 posts we hold for @feilvbin198. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @feilvbin198 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 1 November 2026
- Most recent seen missing
- 1 November 2026
- Median time before seen missing
- 15 hours
- Seen missing in the last 30 days
- 1
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@tg8g · 17,343594 postsN9.COM|官方频道
@N9_com1 · 13,371165 postsN9.COM 福利频道导航
@n9pd888 · 7,159165 posts8T娱乐城 官方-频道
@www8tcom · 28,013163 posts2028体育综合台官方频道
@pg2028ty · 19,950119 postsN1国际官方频道
@n1svip · 16,41194 posts极搜🔍中文搜索@JISO
@jiso · 417,22265 posts8K国际官方
@PG8K8K · 3,33455 postsSOSO搜搜
@sooo · 490,86540 postsY3国际娱乐城官方频道
@y3guojicheng · 13,84237 posts环球大事件 @tk555
@DnyRm1 · 7,78028 posts你好,彦祖、亦菲
@mgame9527 · 4328 posts78.COM-官方频道@DF78
@tg78com · 36,22121 posts2028122.COM- 2028体育官方频道
@pg115 · 15,11216 postsSOSO搜搜🔞
@SosoCnBot · 262,0947 postsSOSO搜搜
@sososo · 608,4767 postsSOSO搜搜
@souso · 592,6435 posts海外大事件
@ct666 · 226,9054 posts东南亚头条曝光㊖
@bg888 · 310,0662 posts东南亚大事件
@djs123 · 181,0031 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@feilvbin198 named 1 handle 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.
Evidenced gone
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.
named in 12 posts, 22 September 2026 – 11 November 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@BG2288 · 120,036#1
@xinwen118 · 123,053#2
@vip35r · 23,087#3
@iiiik · 33,502#4
@baoheitai · 1,106#5
@vipn8888 · 57,986#6
@huohu158 · 176,294#7
@baoguang212 · 4,337#8
@hrs166 · 37,772#9
@BG_BG8 · 32,550#10
@dny1577 · 5,024#11
@tg89aa · 116,061#12
@anwei2 · 32,133#13
@DNYBG234 · 87,508#14
@dashijian01 · 22,266#15
@jinritoutiao6 · 11,791#16
@heicaibaog · 10#17
@baoguangqun110 · 68,764#18
@quanqiubaoliao · 193,543#19
@tghuarenba · 23,701#20
@cctv_dy · 21,774#21
@toutiao_4 · 1,076#22
@xinwenhc · 177,038#23
@feilvbinghuarenriji · 14,475#24
@makatinews · 67,596#25
@dubai0 · 88,235#26
@BG886 · 52,580#27
@xinhuaribao · 902#28
@Dzx199 · 26,141#29
@xbbg8 · 243#30
@nnccqq · 37,473#31
@bodu08 · 55,734#32
@dny099 · 199,535#33
@a0159 · 106,114#34
@redianxinwenpindao · 3,562#35
@phda11 · 3,303#36
@woaiui · 8,092#37
@baoguang821 · 45,718#38
@toutiaoshijian · 66,698#39
@gouzaibaoliao · 2,042#40
@sssvip2 · 267,490#41
@TGPG999 · 4,558#42
@baoguangi · 10,297#43
@mgldpd1 · 1,093#44
@jiuboo · 13,944#45
@taiguohuarenzixun · 72,089#46
@toutiao331 · 360#47
@baoguangba088 · 231,965#48
@quanwangbaoguangb · 127,093#49
@redian3 · 61,886#50
@tg04277 · 55,896#51
@Banma_xinwen · 84,124#52
@ke5689 · 251,050#53
@feilvbinhuarenzixun · 67,906#54
@baoguangqun999 · 67,847#55
@bgxinwen200 · 26,245#56
@dxdb001 · 4,720#57
@svipzz · 56,553#58
@toutiao43 · 579#59
@phnews · 17,039#60
@sii76 · 200,896#61
@BG423 · 25,492#62
@miandianhuarenzixun · 68,207#63
@dsj0161 · 1,980#64
@HR8877 · 316,848#65
@mlshxzs · 6,761#66
@baoguang211 · 8,202#67
@baoguangqun888 · 10,130#68
@HH9915 · 137,937#69
@ttkb0 · 94,077#70
Read from Telegram’s recommendation API, most recently 19 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@nnccqq · 37,473
Telegram ranks this channel #23 of 23 here — alongside 22 others — read 31 August 2026
@jiuboo · 13,944
Telegram ranks this channel #25 of 25 here — alongside 24 others — read 21 September 2026
@bg888e · 49,680
Telegram ranks this channel #52 of 53 here — alongside 52 others — read 25 August 2026
@baoguang988 · 103,430
Telegram ranks this channel #53 of 53 here — alongside 52 others — read 17 August 2026
@iiiik · 33,502
Telegram ranks this channel #57 of 57 here — alongside 56 others — read 26 August 2026
@BG6668 · 109,544
Telegram ranks this channel #57 of 57 here — alongside 56 others — read 14 August 2026
@bbsooo · 48,435
Telegram ranks this channel #62 of 64 here — alongside 63 others — read 14 August 2026
@Dubaiqzzp · 88,878
Telegram ranks this channel #64 of 64 here — alongside 63 others — read 17 August 2026
@nx123 · 746,280
Telegram ranks this channel #64 of 64 here — alongside 63 others — read 13 August 2026
@xinwenhc · 177,038
Telegram ranks this channel #65 of 67 here — alongside 66 others — read 15 August 2026
@dny099 · 199,535
Telegram ranks this channel #67 of 67 here — alongside 66 others — read 22 August 2026
@sssvip2 · 267,490
Telegram ranks this channel #68 of 68 here — alongside 67 others — read 11 August 2026
@bocaishen8 · 95,986
Telegram ranks this channel #70 of 71 here — alongside 70 others — read 22 August 2026
@taiguohuarenzixun · 72,089
Telegram ranks this channel #70 of 71 here — alongside 70 others — read 15 August 2026
@quanqiubaoliao · 193,543
Telegram ranks this channel #71 of 71 here — alongside 70 others — read 11 August 2026
@huohu158 · 176,294
Telegram ranks this channel #72 of 74 here — alongside 73 others — read 15 August 2026
@PHDA15 · 89,732
Telegram ranks this channel #73 of 75 here — alongside 74 others — read 15 August 2026
@gtkx1 · 148,973
Telegram ranks this channel #73 of 76 here — alongside 75 others — read 14 August 2026
@HH9915 · 137,937
Telegram ranks this channel #73 of 73 here — alongside 72 others — read 14 August 2026
@hyxw3 · 60,053
Telegram ranks this channel #76 of 76 here — alongside 75 others — read 19 August 2026
@hrs166 · 37,772
Telegram ranks this channel #76 of 77 here — alongside 76 others — read 19 August 2026
@xinwen118 · 123,053
Telegram ranks this channel #76 of 78 here — alongside 77 others — read 15 August 2026
@DNYBG234 · 87,508
Telegram ranks this channel #77 of 77 here — alongside 76 others — read 16 August 2026
@miandianhuarenzixun · 68,207
Telegram ranks this channel #77 of 77 here — alongside 76 others — read 16 August 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“菲律宾大事件 全球曝光🚀” (@feilvbin198), 79,701 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/feilvbin198.
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.