Channel
@fffm2
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
86,086subscribers
-981 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001359148226 |
|---|---|
| Type | Channel |
| Username | @fffm2 |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/fffm2 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 21:54 | 86,086 | -223 |
| 11 Aug 2026, 18:24 | 86,309 | -98 |
| 10 Aug 2026, 21:22 | 86,407 | -226 |
| 9 Aug 2026, 21:22 | 86,633 | -221 |
| 8 Aug 2026, 21:16 | 86,854 | -129 |
| 7 Aug 2026, 22:58 | 86,983 | -84 |
| 6 Aug 2026, 22:45 | 87,067 | first reading |
198 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 17 pagesof 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 12 August 2026 |
|---|---|
| Posts held | 198 (6 August 2026 – 12 August 2026) |
| Views total | 228,155 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:46 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 37 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.
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#国际新闻 中国女子与丈夫涉经营卖淫按摩店被控 警方一次搜查3家店 8月10日，美国华盛顿州林伍德一起按摩店涉卖淫案件被披露。警方此前于7月29日展开行动，对当地一家按摩店实施搜查，同时搜查同一商业区内另外两家按摩店。 警方调查后，对35岁的中国籍女子黄希慧及其47岁丈夫冯勇提出指控，两人涉嫌促进卖淫、容许场所内发生卖淫活动等。黄希慧还因没有相关执业许可受到额外指控。 案件材料显示，警方此前在调查过程中发现，该按摩店存在涉及付费性服务的信息，并进一步掌握与卖淫活动有关的证据，随后申请搜查令展开行动。 冯勇于7月30日获释，没有被要求缴纳保释金。黄希慧同日出庭，并于8月3日获释，同样没有被要求缴纳保释金。目前，两人均已受到刑事指控，案件仍在后续司法程序中。 🔜🔜🔜🔚🔚🔚 🐸海外新闻求助爆料！ 🐸吃瓜搞笑生活故事！ 🐸推送可能不合时宜！ 🐸您可以选择性观看！ 🐸免费投稿猛料有奖！ 🐸投稿：@Menjie_2 🐸一键加入频…
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#菲律宾新闻 马尼拉楼市崩了！公寓预售暴跌47% 菲律宾房地产市场持续低迷，大马尼拉公寓净预售量上半年暴跌47%，但Megaworld Corporation却逆势增长。 由华裔富商吴克文旗下的Megaworld，今年上半年住宅预售额达到630亿比索，同比增长15%；第二季度住宅销售额更上涨20%，达到333亿比索。 集团业绩主要由马尼拉以外的新城项目带动，通过住宅、商场、办公楼和酒店等一体化开发模式吸引买家。同时，商场、写字楼和酒店租赁业务也保持稳定，为公司提供持续现金流。 上半年Megaworld净利润达到127亿比索，同比增长5%，综合营收442亿比索，商场出租率维持在95%。 一边是马尼拉公寓市场大跌，另一边却有人逆势卖得更好。菲律宾楼市正在明显分化。 🔜🔜🔜🔚🔚🔚 🐸海外新闻求助爆料！ 🐸吃瓜搞笑生活故事！ 🐸推送可能不合时宜！ 🐸您可以选择性观看！ 🐸免费投稿猛料有奖！ 🐸投稿：@Menjie_2 🐸一…
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#菲律宾新闻 #重磅 #菲司法部 正式对萨拉提起重罪指控🚨 8月11日，菲律宾司法部（DOJ）正式对副总统萨拉·杜特尔特提起“严重威胁”刑事指控，案件已提交奎松市地区审判法院。 菲律宾司法部发言人波洛·马丁内斯证实，相关诉状于当天下午1点30分正式递交法院书记官办公室。案件源于萨拉此前有关“刺杀”小马科斯的言论。2024年11月，她曾公开表示，如果自己遭到暗杀，她已经安排人员对总统小马科斯、第一夫人丽莎·马科斯以及时任众议长罗穆亚尔德斯实施报复性刺杀。 这一言论随后引发菲律宾政府高度关注，菲律宾国家调查局（NBI）也曾对相关事件展开调查。 如今，菲律宾司法部正式将案件提交法院，意味着萨拉面临的不再只是政治层面的争议，而是进一步进入刑事司法程序。 值得注意的是，相关“刺杀威胁”指控此前已经成为萨拉弹劾案件中的争议焦点之一。如今司法部再次启动刑事诉讼，也让萨拉面临的法律和政治压力进一步增加。 目前案件后续司法程序仍将继续推进…
#突发事件 西港潮汕海洋大楼被围了；警察进去排查了，现场跑了不少人。 🔜🔜🔜🔚🔚🔚 🐸海外新闻求助爆料！ 🐸吃瓜搞笑生活故事！ 🐸推送可能不合时宜！ 🐸您可以选择性观看！ 🐸免费投稿猛料有奖！ 🐸投稿：@Menjie_2 🐸一键加入频道：https://t.me/addlist/6s9A28OvMc0zOWE1
Showing the 12 most recent of 198 posts we hold for @fffm2. 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 — 434,171 of 1,151,006entries 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 21 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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“菲律宾|大事件📣” (@fffm2), 86,086 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/fffm2.
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.