Channel
@facaiqq686868
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
24,281subscribers
-5,306 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002040463491 |
|---|---|
| Type | Channel |
| Username | @facaiqq686868 |
| Description | 🌍 东南亚头条 曝光 · 新闻-黑料 🔍 事件新闻爆料： @dnyxw192 🔍 东南亚大事件曝光: @dnyxw191 🔍缅甸『今日头条』： @dnyxw193 🔍越南泰国新闻曝光: @mlxy1218 🔍柬埔寨头条曝光： @hjklnf778 🔍马来西亚新闻曝光: @hongyunlin1 🔍『西港黑料』曝光: @ukevjiv6 🔍缅北大事件曝光： @facaiqq686868 🔍网红 ❤️主播 : @cosfeng3 💁📲商务合作： @wwish996 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/facaiqq686868 |
Other / unclassifiable — 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 44% 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 |
|---|---|---|
| 26 Sept 2026, 10:17 | 24,281 | -2,012 |
| 19 Sept 2026, 10:38 | 26,293 | -1,252 |
| 17 Sept 2026, 01:59 | 27,545 | -721 |
| 15 Sept 2026, 02:19 | 28,266 | -747 |
| 13 Sept 2026, 12:55 | 29,013 | -760 |
| 11 Sept 2026, 16:20 | 29,773 | -1,113 |
| 9 Sept 2026, 00:17 | 30,886 | -1,701 |
| 5 Sept 2026, 20:15 | 32,587 | -1,261 |
| 3 Sept 2026, 20:16 | 33,848 | -445 |
| 2 Sept 2026, 12:54 | 34,293 | -586 |
| 1 Sept 2026, 11:12 | 34,879 | -335 |
| 31 Aug 2026, 10:36 | 35,214 | -520 |
| 30 Aug 2026, 13:07 | 35,734 | -348 |
| 29 Aug 2026, 10:08 | 36,082 | -27 |
| 28 Aug 2026, 09:12 | 36,109 | -34 |
| 26 Aug 2026, 09:54 | 36,143 | +6,702 |
| 25 Aug 2026, 10:27 | 29,441 | -2 |
| 24 Aug 2026, 11:36 | 29,443 | -16 |
| 22 Aug 2026, 16:08 | 29,459 | -10 |
| 21 Aug 2026, 10:13 | 29,469 | first reading |
514 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 79 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.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 514 (6 August 2026 – 2 October 2026) |
| Views total | 147,422 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 07:41 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.
Lifetime counters from Telegram’s own channel header, read 2 October 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.
Measured directly from 145 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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#缅甸政局 敏昂莱拟十月访马来西亚磋商遣返事宜 路透社9月30日援引马来西亚国家通讯社Bernama消息，缅甸军方领导人敏昂莱计划于今年10月访问马来西亚。马政府发言人法赫米·法兹尔透露，敏昂莱是拟访吉隆坡的多位外国领导人之一。 马来西亚总理安瓦尔·易卜拉欣将尽快与缅方会谈，推动难民遣返进程。马方计划在第二阶段再遣返3524人。本周二，马来西亚刚遣返近1500名缅甸公民，缅方派出3艘船只接收。 安瓦尔否认遣返时忽视难民安全，强调“进行了充分协商”。马方称缅甸难民是该国最大庇护群体之一，已带来沉重财政压力与安全隐患，持续与缅谈判是必要解决途径。 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍｜真人返水1%｜电子/棋牌/捕鱼返水1.5%｜十三水/德州 无抽佣 🖋广告合作：👤山野藏秋
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Showing the 12 most recent of 514 posts we hold for @facaiqq686868. 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.
Named by 50 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 24 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.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“缅北大事件曝光” (@facaiqq686868), 24,281 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/facaiqq686868.
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.