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Channel

缅甸缅北东南亚新闻曝光

@facai16161616

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

30,443subscribers

+775 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002040555781
TypeChannel
Username@facai16161616
Description全网曝光热搜事件 :专注于揭露事实- 曝光真相-最新动态资讯 -生活故事分享-海外华人求助! ➖➖➖➖➖➖➖➖➖➖ 🔍 缅甸缅北曝光: @anweitt 🔍柬埔寨曝光: @xinwenbg3 🔍柬埔寨头条: @zzyy_6699 🔍东南亚华人曝光: @xw_339 🔍东南亚前线大事件: @wx_533 🔍东南亚新闻曝光: @facai16161616 🔍迪拜华人曝光: @facail16888889 🔍麻豆国产影视: @cosfeng6 💁📲商务合作: @Wt11234
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/facai16161616

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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.

Observations

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.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@xinwenbg3/100487 Aug 2026, 07:15 UTC@facai16161616/6109 · this entry7 Aug 2026, 07:15 UTC1.00under a minute
@xinwenbg3/100567 Aug 2026, 08:43 UTC@facai16161616/6117 · this entry7 Aug 2026, 08:43 UTC1.00under a minute
@xinwenbg3/100607 Aug 2026, 10:33 UTC@facai16161616/6121 · this entry7 Aug 2026, 10:33 UTC1.00under a minute
@xinwenbg3/100617 Aug 2026, 10:48 UTC@facai16161616/6122 · this entry7 Aug 2026, 10:49 UTC1.00under a minute
@facai16161616/6123 · this entry7 Aug 2026, 11:12 UTC@xinwenbg3/100627 Aug 2026, 11:12 UTC1.00under a minute
@xinwenbg3/100667 Aug 2026, 12:12 UTC@facai16161616/6127 · this entry7 Aug 2026, 12:12 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xinwenbg311 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (6–5)
@xw_33911 (8/8 hand-verifiable sample passed)1.00under a minute@xw_339 (8–3)

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. 13 of the 13 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 15 comparable posts for this entry, running 7 August 2026 to 8 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @xinwenbg3. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 8 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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.

Growth

26,14233,37829,7607 August 2026 — 29,668 subscribers7 August 2026 — 29,668 subscribers8 August 2026 — 29,666 subscribers9 August 2026 — 29,664 subscribers10 August 2026 — 29,662 subscribers11 August 2026 — 29,660 subscribers12 August 2026 — 29,658 subscribers14 August 2026 — 29,657 subscribers16 August 2026 — 29,653 subscribers17 August 2026 — 29,652 subscribers18 August 2026 — 29,650 subscribers19 August 2026 — 29,651 subscribers21 August 2026 — 29,653 subscribers23 August 2026 — 29,652 subscribers25 August 2026 — 29,653 subscribers26 August 2026 — 30,689 subscribers28 August 2026 — 30,671 subscribers29 August 2026 — 30,639 subscribers30 August 2026 — 30,420 subscribers31 August 2026 — 29,873 subscribers1 September 2026 — 29,395 subscribers1 September 2026 — 29,156 subscribers3 September 2026 — 28,635 subscribers5 September 2026 — 27,483 subscribers8 September 2026 — 26,142 subscribers11 September 2026 — 33,378 subscribers12 September 2026 — 32,639 subscribers14 September 2026 — 32,157 subscribers16 September 2026 — 31,519 subscribers18 September 2026 — 30,443 subscribers30,4437 August 202618 September 2026
30 measurements spanning 42 days, net +775. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 25,057–34,463 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
18 Sept 2026, 14:2130,443-1,076
16 Sept 2026, 04:2031,519-638
14 Sept 2026, 12:1732,157-482
12 Sept 2026, 22:4032,639-739
11 Sept 2026, 01:4033,378+7,236
8 Sept 2026, 04:2126,142-1,341
5 Sept 2026, 04:0127,483-1,152
3 Sept 2026, 09:2828,635-521
1 Sept 2026, 23:4629,156-239
1 Sept 2026, 02:4829,395-478
31 Aug 2026, 01:5229,873-547
30 Aug 2026, 02:3330,420-219
29 Aug 2026, 02:5530,639-32
28 Aug 2026, 03:0730,671-18
26 Aug 2026, 00:4830,689+1,036
25 Aug 2026, 00:1429,653+1
23 Aug 2026, 11:3829,652-1
21 Aug 2026, 20:0929,653+2
19 Aug 2026, 16:2329,651+1
18 Aug 2026, 14:2429,650first reading

Engagement

607 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.55%
avg views ÷ 30,443 subscribers
Avg views / post
776
267 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
272
of 607 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 September 2026
Posts held607 (7 August 2026 – 25 September 2026)
Views total207,074
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Sept 2026, 02:02 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
≈6,610
Videos
≈952
Links
≈1,530

Lifetime counters from Telegram’s own channel header, read 25 September 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
2h 46m
Average length
53s

Measured directly from 190 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.

Recent posts

25 Sept 2026, 00:00 UTC314 viewsread 25 September 2026
Video

✅#推荐频道 🔗 📢 华人海外资讯|菲龙网新闻曝光 📢 你关心的才是头条新闻 📢 找工作上菲龙网求职招聘 📢 内涵搞笑段子 📢 亚太新闻 🆒🔴商务合作:在下头很硬 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 🆒🔴商务合作:视野发布员 - 胖胖 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 🆒🔴商务合作:包菜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 …

24 Sept 2026, 12:59 UTC874 viewsread 25 September 2026
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❗️【网友投稿:带亲妹赚钱赚进了号子里】❗️ 二五年十月份在金边开始慢慢退居做盘的一线队伍,后而跟着两个老乡一起合租干起来了虚拟币洗钱这一块的业务。 我们的上家盘口公司都是做色敲的,其中有一家公司就是我之前在金边待过的色敲公司。因为跟这家公司的高层很熟到现在九月份这家公司的大多数洗钱单子都还是交给我们来做。 现在这家公司也搬出了危险重重的金边到外省山里去办公了,至于我们这些不需要躲在房子里用电脑办公只要用手机操作,零零散散的人才敢继续待在金边不怕查。做色敲洗钱我们都是引导客户用微信扫码付款来买虚拟币不仅仅只是买U还有其他的币种。在国内几乎每个人都会用到微信扫码付款而且看不到付款人的真实姓名这点比支付宝更利于洗钱。 虽然每一次只能扫码付款几百到万把块钱不等,但受敲诈勒索的国内客户还是太多。客户多到每个月我们在各大交易所平台找买虚拟币的商家都要干死他们几百个上千个各类收款码。做的时间久了商家们防范意识也越来越高,变成现在很多…

24 Sept 2026, 12:30 UTC1 viewsread 25 September 2026
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❗️【网友爆料:避雷 ChatX 翻译软件——客户已经出问题,请大家务必警惕!】❗️ 在这里曝光 ChatX(user.gochatx.com)翻译软件。我们在使用 ChatX 的过程中,已经出现了非常严重的问题,而且不是一个人、一台电脑出现,而是不同国家、不同网络、不同电脑、不同工作人员都遇到了类似的异常情况。 最明显的问题就是:每天正常下班以后,我们的电脑都会彻底关机、断电、断网,工作人员也已经休息睡觉。但是第二天通过手机打开 WhatsApp,在“关联设备”里面查看最后活动时间,却发现部分账号的活动时间竟然出现在工作人员已经下班、电脑已经关机以后,甚至是在大家睡觉的时间段。 电脑都已经关机、断电、断网了,请问这个时间是谁在登录 WhatsApp? 难道工作人员睡觉以后,电脑还能自己开机、自己联网、自己登录 WhatsApp? 更关键的是,这些 WhatsApp 账号只登录在 ChatX 翻译软件上,没有登录其他陌生…

24 Sept 2026, 12:02 UTC832 viewsread 25 September 2026
Photo

❗️【网友投稿:我们公司回菲4个月了,一切顺利】❗️ 兜兜转转去第三国两年,前几个月又回菲律宾来了。菲律宾还是熟悉的味道。不是居家办公啊,在大楼办公。关系都打点好了,一点问题没有。 菲律宾现在风向变了,只要给保护费,在大楼办公真的很安全。这个大楼现在不止我们一家公司,我知道的最少还有6家。 毕竟菲律宾也需要经济复苏,前两年收割的太狠了。未来一年到小马下台前,应该都是没问题的。 ➡️ 投稿联系: 遥 路😀

24 Sept 2026, 11:40 UTC867 viewsread 25 September 2026
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❗️【改走偏僻小路、两车一前一后带路,还是没躲过警方追踪!】❗️ 9月24日泰媒报道,泰国高速公路警察近日扩大“Ghost Drivers(幽灵司机)”行动,在春武里府博通县一处加油站内,拦截两辆涉嫌参与运送非法入境人员的车辆,抓获4名嫌疑人,包括2名泰国籍人员和2名中国籍人员。 警方称,该团伙此前主要利用高速公路运输人员,在警方加强打击后,开始改走车流较少、检查站较少的偏僻公路,并采用“两车配合”的方式,一辆负责前方带路和观察,另一辆负责搭载人员,途中通过聊天软件保持联系。 警方检查其中一辆丰田轿车时,发现车内有2名无法出示护照及合法入境文件的中国籍人员。另一辆作为“引导车”的司机则趁警方检查时逃离,目前仍在追捕中。 据初步调查,泰国司机供称,每接送一名中国籍人员可获得2000泰铢,相关人员还被要求完成任务后删除聊天记录。 两名中国籍人员则称,他们通过尖竹汶府边境自然通道徒步进入泰国,随后计划经泰国继续前往缅甸和马来…

24 Sept 2026, 11:12 UTC1 viewsread 25 September 2026
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❗️【马来西亚警方捣毁吉隆坡两豪华公寓诈骗团伙 逮捕24人】❗️ 马来西亚吉隆坡警方近日展开两次突击行动,捣毁两个分别针对中国和日本受害者的网络诈骗团伙,并逮捕24人,其中包括23名外国公民。 当旺宜警区警方于9月18日和19日,先后突击搜查位于吉隆坡城中城(KLCC)一带罗弄宾杰(Lorong Binjai)及Persiaran KLCC的豪华公寓单位,逮捕4名女性和20名男性。 当旺宜警区主任苏利兹梅·阿芬迪·苏莱曼助理警监表示,警方于9月18日接获网络诈骗活动举报后,突击搜查罗弄宾杰的两间豪华公寓单位,并逮捕13名外国公民及1名本地公民。 他说,落网者年龄介于18岁至45岁之间,相信是持社交访问准证入境马来西亚,随后租用豪华公寓作为诈骗团伙的呼叫中心。 “警方检查现场发现的电子设备后,证实有关单位涉及网络诈骗活动,并通过虚假平台锁定中国受害者。” 警方在行动中起获数台笔记本电脑、手机、调制解调器、路由器及门禁卡…

24 Sept 2026, 10:44 UTC2 viewsread 25 September 2026
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❗️【中国公安部代表团参访柬埔寨巴地待遣返中心】❗️ 今天上午,柬埔寨移民总局代表凯萨林与调查和程序执行局局长尤萨伦,陪同由中国公安部副部长杨维林率领的代表团,参访了茶胶省巴地待遣返中心。 参访期间,柬中双方对内政部与中国公安部在打击跨国犯罪、维护两国社会安全与秩序方面的紧密合作给予了高度评价。 老家来人探望被关押的狗推~~ ➡️ 投稿联系: 遥 路😀

24 Sept 2026, 10:27 UTC2 viewsread 25 September 2026
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❗️【西港宪兵查获一涉诈窝点 逮捕12人】❗️ 9月22日晚,西哈努克省宪兵在副检察官协调下,突击搜查了西港二分区一处排屋,逮捕12名涉案人员,并查获28部涉诈手机、13台电脑、52张SIM卡及多本护照与银行卡等证物。目前嫌疑人已被押送至省宪兵总部接受进一步审讯。 此次行动系柬埔寨全国严打网诈的专项行动之一。官方数据显示,仅2026年8月,警方就突查了85个诈骗窝点,扣留来自13个国家的1,255名涉案人员,移民局当月共驱逐出境2,005名违法外国籍人员。 ➡️ 投稿联系: 遥 路😀

24 Sept 2026, 09:53 UTC850 viewsread 25 September 2026
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❗️【马来西亚 5名中国男子搞“空壳网店”诈骗!冒充卖家卖不存在商品,每人罚4000令吉】❗️ 9月23日,马来西亚柔佛州新山推事庭审理一起网络购物诈骗案,5名中国籍男子 因涉嫌共同经营“空壳网店”,当庭认罪。 5人被指在新山碧桂园金海湾一处住所内,通过网上发布虚假商品信息,诱导买家付款,但实际上并没有商品可以交付。 5名被告年龄26岁至39岁,案件涉及诈骗、刑事串谋及共同犯罪等指控。5人认罪后,法庭分别判处每人罚款4000令吉,共计2万令吉。 这类“网上有商品、付款后却根本不存在”的骗局仍需警惕,网购时不要只看低价和商品图片,付款前应核实卖家身份和交易渠道。 ➡️ 投稿联系: 遥 路😀

24 Sept 2026, 09:22 UTC855 viewsread 24 September 2026
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❗️【班迭棉吉省波贝市开展行政检查,查处18名涉嫌涉诈中国籍人员】❗️ 9月23日,班迭棉吉省行政统一指挥委员会继续在波贝市开展外国人及相关场所行政检查行动。此次行动共检查8处地点,其中2处因涉嫌涉及网络诈骗活动被查处。 行动期间,共发现69名外国人,其中女性20人,包括51名印度尼西亚籍人员(女性20人)和18名中国籍人员。其中,51人证件齐全,另有18人因无法出示合法证件被查处。 在奥鲁瑟分区,执法人员检查2处涉嫌涉及网络诈骗的地点,现场发现18名非法居留的中国籍人员,并查获一体机电脑12台、笔记本电脑2台、手机16部、中国警服1件及其他相关物品。 其余检查情况如下: 波贝分区:检查2处地点,发现8名印度尼西亚籍人员,其中女性6人,均持有合法证件,未发现涉及网络诈骗活动。 奥秋鲁分区:检查2处地点,发现42名印度尼西亚籍人员,其中女性14人,均持有合法证件,未发现涉及网络诈骗活动。 中央市场分区:检查2处地点,发…

24 Sept 2026, 00:00 UTC874 viewsread 24 September 2026
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✅#推荐频道 🔗 📢 华人海外资讯|菲龙网新闻曝光 📢 你关心的才是头条新闻 📢 找工作上菲龙网求职招聘 📢 内涵搞笑段子 📢 亚太新闻 🆒🔴商务合作:在下头很硬 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 🆒🔴商务合作:视野发布员 - 胖胖 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 🆒🔴商务合作:包菜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 …

23 Sept 2026, 12:56 UTC2 viewsread 24 September 2026
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❗️【群友爆料:国内以外汇黄金平台MT4做掩护,2024年注册的(KVB)平台网址:https://www.kvbplus.com/zh。 】❗️ 国内诈骗集资盘,老板:朱总,负责人之一:黄总,外号(黄爷),主管:解女士。 现在公司已经非法诈骗集资了6亿人民币了,盘口还在运行中,一周入金已经达到80万美金。今年中秋节给(105位)高级会员、现存客户以及代理送的中秋节高级礼品,50美金一份。 还有很多老板、股东以及管理的身份信息,我全部备份了,包括你们公司的业绩表、诈骗吝户的资料联系方式。我说这些是因为我之前在你们公司上班1年多,我以为这是正规公司,直到有一天我去公司后台拿材料的时候发现了惊天秘密,原来客户的钱是你们后台操控直接全部输掉的,并不是市场波动输的。 所以我提出离职,但是你们该发的工资你们不发,拿着这些钱去国外吸DU玩包厢。还有现在国内开会场地视频,包括你们员工照片,我会全部曝光出来。 如果这件事情再不解决,不…

Showing the 12 most recent of 607 posts we hold for @facai16161616. 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.

Mentions

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.

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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“缅甸缅北东南亚新闻曝光” (@facai16161616), 30,443 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/facai16161616.

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.