#菲律宾新闻 菲律宾加强监管社交媒体促销,5家企业被点名调查 菲律宾贸易与工业部北棉兰老省办公室近日加大对社交媒体促销活动的监管力度,瓦伦西亚市和马来巴来市已有5家企业因涉嫌未经许可在网络平台开展销售促销活动,被要求提交正式说明。 北棉兰老省贸易与工业部办公室表示,未来将继续扩大监测范围,不仅关注网络平台,也会同步检查实体商业场所。
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Channel
@fei3131
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
32,734subscribers
+14,150 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001047715982 |
|---|---|
| Type | Channel |
| Username | @fei3131 |
| Created | Between 1 February 2016 and 30 November 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/fei3131 |
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 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 04:58 | 32,734 | -136 |
| 6 Sept 2026, 21:37 | 32,870 | -122 |
| 4 Sept 2026, 07:59 | 32,992 | -58 |
| 2 Sept 2026, 23:56 | 33,050 | -76 |
| 1 Sept 2026, 21:54 | 33,126 | -290 |
| 31 Aug 2026, 22:37 | 33,416 | -173 |
| 30 Aug 2026, 19:18 | 33,589 | -235 |
| 29 Aug 2026, 18:04 | 33,824 | -253 |
| 28 Aug 2026, 16:43 | 34,077 | -91 |
| 27 Aug 2026, 18:14 | 34,168 | -21 |
| 26 Aug 2026, 19:12 | 34,189 | -23 |
| 25 Aug 2026, 19:03 | 34,212 | -174 |
| 24 Aug 2026, 21:24 | 34,386 | -137 |
| 23 Aug 2026, 04:17 | 34,523 | -55 |
| 21 Aug 2026, 16:48 | 34,578 | -97 |
| 20 Aug 2026, 15:28 | 34,675 | +19,872 |
| 19 Aug 2026, 18:37 | 14,803 | -282 |
| 18 Aug 2026, 17:33 | 15,085 | -391 |
| 17 Aug 2026, 14:53 | 15,476 | -328 |
| 16 Aug 2026, 08:54 | 15,804 | first reading |
644 posts held, back to 6 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 70 pages of 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. It is computed over the 525 of 536 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 644 (6 August 2026 – 9 September 2026) |
| Views total | 2,924,250 |
| Reactions total | 12,025 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 12:17 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.
Measured directly from 21 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.
14,424 reactions across 633 posts, in 12 distinct kinds. The most used accounts for 17.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,531 | 17.5% | |
| 🎉 | 1,951 | 13.5% | |
| 🔥 | 1,951 | 13.5% | |
| 🥰 | 1,928 | 13.4% | |
| ❤ | 1,909 | 13.2% | |
| 🤩 | 1,872 | 13.0% | |
| 👏 | 1,805 | 12.5% | |
| 💯 | 138 | 0.957% | |
| 😍 | 124 | 0.86% | |
| 😁 | 113 | 0.783% | |
| ❤🔥 | 101 | 0.7% | |
| ⚡ | 1 | 0.007% |
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 633 of the 644 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 14,424 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 644 most recent posts we hold, published 6 August 2026 to 9 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.
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#菲律宾新闻 菲律宾警方晒出治安成绩单:重点犯罪同比下降41.77% 菲律宾国家警察总署(PNP)公布最新治安数据称,2026年1月至8月,全国重点犯罪案件数量较去年同期明显下降,从2025年的3584起减少至2087起,降幅达到41.77%。 对普通民众而言,犯罪数字下降或许只是统计表上的几个百分比,但落实到日常生活中,意味着街头、社区以及公共场所的安全感也可能随之发生变化。
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Showing the 12 most recent of 644 posts we hold for @fei3131. 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.
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.
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.
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“🥇菲律宾观察新闻🇵🇭” (@fei3131), 32,734 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/fei3131.
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.