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Telegram profile photo for 缅甸大事件|全球行业热点 @VTTTT

Channel

缅甸大事件|全球行业热点 @VTTTT

@vtttt

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

71,559subscribers

-36,897 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001068094876
TypeChannel
Username@vtttt
Description缅甸大事件专注海外华人最新资讯 东南亚地区最新动态,海外华人求助 让你看尽海外大小事 ! ✅投稿商务: @myyyy ✅双向联系: @vttttvipbot 缅甸二手: @YT5559 🚀联盟导航: @LYYYY 缅甸|老挝|泰国|柬埔寨|菲律宾 |马来|斯里兰卡 本频道不做任何立场声明,并鼓励友好交流 和谐环境!
CreatedBetween 1 May 2016 and 28 February 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/vtttt

Topic

Gambling & betting — 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 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 the other topics.

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 in near-verbatim form 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
@vtttt/29953 · this entry22 Oct 2026, 13:25 UTC@qbj7777/3763622 Oct 2026, 15:46 UTC1.002.4 hours
@vtttt/29997 · this entry23 Oct 2026, 14:17 UTC@qbj7777/3771623 Oct 2026, 19:05 UTC1.004.8 hours
@vtttt/30105 · this entry25 Oct 2026, 12:27 UTC@qbj7777/3784025 Oct 2026, 14:03 UTC1.001.6 hours
@vtttt/30297 · this entry30 Oct 2026, 05:52 UTC@qbj7777/3804730 Oct 2026, 07:02 UTC0.9570 minutes
@qbj7777/3642023 Sept 2026, 09:53 UTC@vtttt/27839 · this entry23 Sept 2026, 10:12 UTC0.9019 minutes
@vtttt/25887 · this entry2 Sept 2026, 15:07 UTC@qbj7777/351472 Sept 2026, 19:06 UTC0.854.0 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@qbj777712 (6/8 hand-verifiable sample passed)0.953.0 hoursthis entry (10–2)
@mdxwdpd6 (5/6 hand-verifiable sample passed)0.9925 minutes@mdxwdpd (4–2)

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. 6 of the 6 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 1,696 comparable posts for this entry, running 6 August 2026 to 11 November 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).

Recorded under the keys clone_copy · clone_source, last confirmed 12 November 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.

Growth

71,427108,45689,941.571,5596 August 202610 November 2026
65 measurements spanning 96 days, net -36,897. 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 65,873–114,010 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 12:0671,559-232
9 Nov 2026, 02:1771,791-351
7 Nov 2026, 18:5972,142-244
6 Nov 2026, 18:1172,386-158
5 Nov 2026, 15:5872,544-237
4 Nov 2026, 16:2172,781-216
3 Nov 2026, 16:4672,997-614
2 Nov 2026, 16:5073,611-78
1 Nov 2026, 18:1973,689-107
31 Oct 2026, 21:4673,796-140
30 Oct 2026, 21:1073,936-1,492
29 Oct 2026, 18:1175,428-92
28 Oct 2026, 21:0975,520-136
27 Oct 2026, 23:3075,656-86
26 Oct 2026, 21:0675,742-104
25 Oct 2026, 20:1775,846-90
24 Oct 2026, 16:4675,936-192
23 Oct 2026, 13:4576,128-962
22 Oct 2026, 13:3177,090-274
21 Oct 2026, 10:1477,364first reading

Engagement

1,962 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 199 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.16%
avg views ÷ 71,559 subscribers
Avg views / post
6,550
535 posts measured
Reaction rate
0.237%
reactions ÷ views · ER floor
Posts in window
535
of 1,962 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 501 of 535 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held1,962 (6 August 2026 – 11 November 2026)
Views total3,505,769
Reactions total8,075
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 22:43 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
≈17,100
Videos
≈1,720
Links
≈2,180

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
2h 40m
Average length
44s

Measured directly from 220 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

26,327 reactions across 938 posts, in 24 distinct kinds. The most used accounts for 11.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😍2,99011.4%
💯2,95911.2%
🥰2,95611.2%
🤩2,92811.1%
👍2,92711.1%
❤2,89311.0%
🔥2,89111.0%
❤‍🔥2,88210.9%
🎉2,77510.5%
🤯380.144%
😱190.072%
👏180.068%
🤔170.065%
😁150.057%
😢50.019%
🙏50.019%
👌20.008%
⚡10.004%
💩10.004%
😐10.004%
4 further kinds40.015%

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 939 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 26,327 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 17 September 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: 27 of 535 posts held from the last 30 days (5.05%) 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).

11 Nov 2026, 17:01 UTC≈9,970 views4 reactionsread 11 November 2026
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#马来资讯:吉打移民局突袭建筑工地,30名外籍人员被捕,涉及孟加拉、缅甸及印尼籍 11月10日上午,马来西亚吉打州移民局展开名为 Ops Sapu 的执法行动,突袭位于双溪大年 Bandar Amanjaya 的一处建筑工地,对现场49名外籍及本地人员进行身份检查。 行动中,执法人员共扣留30名涉嫌违反移民法令的外籍人员,其中包括17名孟加拉国籍、12名缅甸籍及1名印尼籍人员。据悉,被扣留人员包括27名男性及3名女性,年龄介于20岁至50岁之间。 行动结束后,30名被捕人员被送往 Belantik 移民拘留中心,以接受进一步调查及处理。有关部门将继续调查涉案人员是否涉及违反马来西亚移民法令。 此次行动再次体现马来西亚移民执法部门持续加强对外籍劳工及非法居留人员的检查力度。

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11 Nov 2026, 17:00 UTC≈10,000 views10 reactionsread 11 November 2026
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11 Nov 2026, 16:57 UTC30 views13 reactionsread 11 November 2026
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#网友吐槽:有些人我不想说,我他妈哪里欠你400块啊,我他妈都不认识你,还说我拿你的钱去装大款, 你他妈是不是有妈生没妈教的野孩子呀,你能不能做个人呀,不要给自己说的像个富豪一样, 你 TMD,网络上是个女神现实的黑黑的你还去给人家男朋友说人家长什么样,我长什么样子用得着你说吗?再说了,我比你都好看,比你白,我矮怎么了? 你网络上像个女神一样,现实的黑不拉秋的像个非洲人一样,不要给自己说得有多富豪一样,我他妈什么时候跟你拿钱去装大款了,你能不能要点脸呀!

🎉3🥰3🔥2🤩2🤯2❤‍🔥1

11 Nov 2026, 15:13 UTC≈2,850 views10 reactionsread 11 November 2026
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#缅甸资讯:缅甸军方10月空袭逾300次 针对平民袭击比例超七成 2026年11月11日报道, 缅甸国内针对平民目标的空袭行动依然频繁。根据缅甸军事与安全研究组织(MDSI)最新发布的数据报告显示,在刚刚过去的10月份中,军方发动的大部分空袭行动均将平民及民用设施作为了直接袭击目标。 观察人士指出,随着地面局势的变化,空袭已成为当前冲突中的主要杀伤手段之一。 非军事区及普通民众所面临的安全威胁正在持续加剧,国际社会对缅甸人道主义局势的担忧也随之进一步提升。

🥰3❤‍🔥2🎉1👍1💯1🔥1😍1

11 Nov 2026, 14:21 UTC≈1,760 views1 reactionsread 11 November 2026
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泰国 网络警察前日通报,两宗网络诈骗案共追回1,874,294泰铢,并将款项返还两名受害者。 警方在四色菊、北榄、巴吞他尼、乌汶及曼谷展开搜查,逮捕7名涉嫌转移诈骗资金人员。 首宗案件中,一名65岁退休女教师误信Facebook广告及LINE投资群,以“高回报任务”为由11次转账,损失近498万泰铢。警方冻结账户并追回约110万泰铢。 另案受害人遭诈骗者通过TikTok及LINE诱导参与“配图赚佣金”任务,22次转账损失逾110万泰铢。警方冻结涉案账户70万泰铢。案件仍在追查中。

🤯1

11 Nov 2026, 14:20 UTC≈9,370 views10 reactionsread 11 November 2026
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11 Nov 2026, 13:36 UTC49 views12 reactionsread 11 November 2026
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#群友投稿:8号园区的杨总,请付血汗钱! 在8号园区,波哥山搞医疗的杨总,辛辛苦苦给你打点生意,最后却落到一年的工资一分血汗钱都没拿到。 以前没出事前,还信誓旦旦地说,出了事你来兜底。怎么我回国被帽子叔叔传唤了,没看到你吭一声?我被拘押期间,一个字都没提到你相关的事,最后还是自己借钱保释出来。 现在我只要求付我一点保释金就行,这一点小小的要求,你都当视而不见。本来我也尊重你,但是现在你的处事方式,让我看到了你伪善的一面。 如果还是视而不见,资料我已经全部收集。再拒绝沟通,下次就把你家在金边的工厂地址、家庭住址,以及你跟你亲妹妹的照片全部曝光,让大家在金边好好防范这两姐妹。

❤2🎉2🤩2🥰2❤‍🔥1🔥1😍1😱1

11 Nov 2026, 13:20 UTC≈1,790 views10 reactionsread 11 November 2026
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11 Nov 2026, 13:10 UTC≈1,760 views10 reactionsread 11 November 2026
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➡神盾出海联盟 广告招商: @LYYYY ➡东南亚大事件-曝光圈 ➡神盾联盟出海交流群

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11 Nov 2026, 12:55 UTC56 views2 reactionsread 11 November 2026
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#群友投稿:七星海迁西港「江总团队」扣护照、逼人拉人头、整批转卖员工、欠薪逼人顶罪! 我是被代理啊欲带去七星海的。他电话里说得好听:包吃住,代理费能预支,做满三个月有提成。进门第一天,护照就被收走,说是「统一办签」,到现在都没还,钱也一分钱没有给。 我认我该认的。可凭什么?凭什么啊欲的钱没了、人也不见了,我爸妈替我买单,江总他们换个地方照样吃香喝辣!我咽不下这口气,我已经报给警察,我还要持续曝光你们,让你们做过街的老鼠!

❤1😍1

11 Nov 2026, 12:30 UTC≈10,000 views10 reactionsread 11 November 2026
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➡神盾出海联盟 广告位招商: @LYYYY ➡东南亚大事件-曝光圈 ➡神盾联盟出海交流群

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11 Nov 2026, 12:18 UTC57 views12 reactionsread 11 November 2026
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缅甸孟邦-克伦邦军方检查站收“线路费”放行电诈人员 据租车行业消息源透露,克伦邦和孟邦境内军方检查站向电诈(网络诈骗)人员收取数万至数十万泰铢不等费用后放行。 载有外籍及缅甸籍电诈人员的车辆,从毛淡棉往穆洞、三佛塔方向,及从帕安往妙瓦底、水沟谷方向,沿途检查站每车收取至少1万至10万泰铢。费用由执勤军方及邦级官员分成。 近期边境三佛塔、妙瓦底、水沟谷、沃莱、提卡迪一带新增多个电诈窝点,并通过社交媒体招人,月薪2万至4万泰铢,包吃住但半年内不得外出。 国际社会此前已对相关主导者实施制裁和逮捕令;军方则拆除旧窝点并颁布《网络诈骗防治法》,但观察人士认为军方才是边境电诈的源头。

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Showing the 12 most recent of 1,962 posts we hold for @vtttt. 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 @vtttt 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
5 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
1

Mentions

Named by 1 registered channel — 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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“缅甸大事件|全球行业热点 @VTTTT” (@vtttt), 71,559 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/vtttt.

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.