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Telegram profile photo for 缅甸新闻|海豹资讯曝光|myanmar news

Channel

缅甸新闻|海豹资讯曝光|myanmar news

@SuBao888

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

154,528subscribers

+56,088 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002145636979
TypeChannel
Username@SuBao888
Description分享缅甸热点最新新闻资讯,关注本频道,让您第一时间了解行业信息 防失海豹联导航群: @HAIBAOTVB 商务合作/免费投稿曝光 ☎️联系: @tangtang6759 #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #迪拜
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 live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/SuBao888

Topic

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 65% 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 5 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
@SuBao888/57350 · this entry11 Aug 2026, 15:00 UTC@DNYBG120/4746111 Aug 2026, 15:00 UTC1.00under a minute
@SuBao888/57938 · this entry18 Aug 2026, 13:35 UTC@DNYBG120/4836419 Aug 2026, 13:36 UTC1.0024 hours
@SuBao888/58640 · this entry24 Aug 2026, 06:06 UTC@DNYBG120/501895 Sept 2026, 06:07 UTC1.0012 days
@SuBao888/59575 · this entry3 Sept 2026, 04:36 UTC@DNYBG120/499373 Sept 2026, 05:39 UTC1.0063 minutes
@DNYBG120/5109512 Sept 2026, 14:44 UTC@SuBao888/60591 · this entry12 Sept 2026, 14:45 UTC1.00under a minute
@DNYBG120/576926 Nov 2026, 14:57 UTC@SuBao888/65083 · this entry6 Nov 2026, 15:09 UTC1.0011 minutes
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
@DNYBG12082 (7/8 hand-verifiable sample passed)1.0022 hoursthis entry (51–31)
@JXBGW81 (8/8 hand-verifiable sample passed)0.9313 hours@JXBGW (49–32)
@TGDSJ11071 (8/8 hand-verifiable sample passed)0.9916 hours@TGDSJ110 (39–32)
@dibai_0155 (8/8 hand-verifiable sample passed)0.9524 hours@dibai_01 (35–20)
@baoguang_12324 (6/8 hand-verifiable sample passed)0.973 days@baoguang_123 (13–11)

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. 167 of the 167 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 1,930 comparable posts for this entry, running 7 August 2026 to 12 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 key clone_mutual, last confirmed 13 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

24,621174,84899,734.5154,5287 August 202611 November 2026
63 measurements spanning 96 days, net +56,088. 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 2,087–197,382 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 20:40154,528-2,968
9 Nov 2026, 22:36157,496-8,028
8 Nov 2026, 16:21165,524-1,118
7 Nov 2026, 12:09166,642-822
6 Nov 2026, 10:36167,464-464
5 Nov 2026, 08:10167,928-287
4 Nov 2026, 06:15168,215-306
3 Nov 2026, 09:28168,521-202
2 Nov 2026, 07:37168,723-130
1 Nov 2026, 05:41168,853-193
31 Oct 2026, 08:15169,046-187
30 Oct 2026, 10:48169,233-393
29 Oct 2026, 07:37169,626-265
28 Oct 2026, 04:59169,891-111
27 Oct 2026, 06:07170,002-170
26 Oct 2026, 06:09170,172-122
25 Oct 2026, 05:26170,294-99
24 Oct 2026, 06:46170,393-182
23 Oct 2026, 06:28170,575-140
22 Oct 2026, 04:09170,715first reading

Engagement

1,934 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 200 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.36%
avg views ÷ 154,528 subscribers
Avg views / post
5,200
575 posts measured
Reaction rate
0.024%
reactions ÷ views · ER floor
Posts in window
575
of 1,934 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 2 of 575 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 13 November 2026
Posts held1,934 (7 August 2026 – 13 November 2026)
Views total2,988,377
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 19:53 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
≈49,000
Videos
≈8,840
Links
≈19,800

Lifetime counters from Telegram’s own channel header, read 13 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
5h 17m
Average length
44s

Measured directly from 434 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

5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁480.0%
❤120.0%

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 5 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 5 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 20 September 2026 to 13 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: 0 of 575 posts held from the last 30 days (0%) 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).

13 Nov 2026, 13:42 UTC9 viewsread 13 November 2026
Video

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13 Nov 2026, 11:01 UTC15 viewsread 13 November 2026
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13 Nov 2026, 08:00 UTC17 viewsread 13 November 2026
Photo

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13 Nov 2026, 06:13 UTC15 viewsread 13 November 2026
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12 Nov 2026, 14:16 UTC≈4,870 viewsread 13 November 2026
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12 Nov 2026, 14:16 UTC≈5,030 viewsread 13 November 2026
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12 Nov 2026, 14:16 UTC9 viewsread 13 November 2026
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12 Nov 2026, 14:15 UTC8 viewsread 13 November 2026
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#网友曝光 人贩子 #蒋鑫鑫 ,飞机上最大的人口贩卖骗招女头目 蒋鑫鑫 外号刘姐 从2023年开始在飞机蝙蝠各大聊天软件做引流,用背货贷款租车上班等话术把人骗到缅甸老街,缅甸邦康,缅甸苗瓦迪,柬埔寨卖给园区高达上300多人,从中获取利润高达2000多万RMB,而且缅甸老街因为她的猪仔不听话逃跑甚至她叫园区管理把别人腿打断,柬埔寨送人甚至搞出人命,人头到达柬埔寨发现被骗想跑被她安排的车队活活打死,前段时间她骗取一个国内女孩信任卖去苗瓦迪,在路上被强压车队的人轮奸然后在卖去了苗瓦迪园区,希望国内警方处理,各位有关系有渠道的人多多帮忙举报,此人罪大恶极,一个女人为什么那么狠心!!!!! 频道广告赞助商 ——————————————— 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀9G.COM 全球布局 实力保障 😍😍😍😍⚡⚡电子大水…

12 Nov 2026, 14:15 UTC≈4,580 viewsread 13 November 2026
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#缅甸一女孩轻信"妙瓦底高薪工作"被骗 与30多人遭囚禁后逃脱 据获救者玛南达温讲述,她轻信妙瓦底有好工作的承诺,未告知父母便随童年好友前往,途中被一名女子开车接走,手机遭没收,随后被囚禁在仰光郊外一栋偏僻旧楼内,#楼内还有30多名同样被囚禁的女孩,期间被转移约三处地点。 次日她要求回家并索还手机,对方检查手机时发现家人发来的求助短信,随后允许她与另一名女孩离开。两人逃出后拦车求助,最终安全返家。 ⚠️ 提醒求职者:接受工作前务必核实雇主及岗位信息,并提前告知家人去向和联系方式。该事件信息尚未经独立核实,需等待相关部门确认。 频道广告赞助商 ——————————————— 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀9G.COM 全球布局 实力保障 😍😍😍😍⚡⚡电子大水柬埔寨大哥 麻将胡了两万一拉爆1600万 ⚡⚡⚡⚡…

12 Nov 2026, 14:15 UTC≈4,900 viewsread 13 November 2026
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#泰国召见苹果公司 质询政客iPhone遭间谍软件警告一事 10月29日,泰国多名政客的iPhone收到间谍软件警告,与德国政府官员收到警告的时间同步。泰国数字经济与社会部已与苹果公司代表会面质询,部长称会议属情况评估讨论,暂不公布细节。 泰方将会同国家安全委员会、国家网络安全局及国内软硬件公司合作,详查攻击情况,预计11月16日当周完成安全方案制定。 苹果通常不披露间谍软件攻击的判定细节,但称此类攻击属比普通网络犯罪更复杂的商业间谍软件攻击。自2021年以来,苹果已向150多个国家的用户发出警告。 频道广告赞助商 ——————————————— 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀9G.COM 全球布局 实力保障 😍😍😍😍⚡⚡电子大水柬埔寨大哥 麻将胡了两万一拉爆1600万 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 电子百家乐0审核…

12 Nov 2026, 13:42 UTC≈4,730 viewsread 13 November 2026
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【N1国际】U投首选平台|实力认证 |值得信赖! 😀😀😀😀😀😀⚡⚡⚡⚡⚡⚡⚡⚡ 😀注册网址: N10255.com 全网广告频道上押1️⃣0️⃣0️⃣0️⃣万😘 ⚡️8K国际U台 8k2920.com 福利好超高爆率! TG最大信誉平台 玩家首选综合🔤台 😘😘😘😘😘😘😘😘😘😘 😀每日返水高达🇺🇦☹️返水无上限 大额无忧! 气运之子:PP极速糖果 30U爆25000倍大奖75万U 😀 糖果大水:PP极速糖果 单注500爆得500万U巨奖😀 PG大水:玩家在麻将胡了2 拉出满屏八万 爆230万U 😀 麻将大水:PG电子麻将胡了2 玩家进关爆510万U 😀 #大户首选 支持任意平台vip等级平移 首存 日存均送 😀😀😀😀😀😀😀😀😀 USDT存出款 电子超高爆率!#电子真人0审核包出款 😳😁😉😚 无风控 免实名 无需手机号 ⚡⚡⚡👍👍👍👍👍 😀Solaire千亿实体资本,菲律宾索莱尔 · 官方直营😘#真人视讯单注限红2…

12 Nov 2026, 11:04 UTC≈4,430 viewsread 13 November 2026
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#中国男子赴泰失联4个月,家属遭勒索30万! 据家属反映,中国男子李至国经熟人介绍前往泰国,抵达后不久便与家人失去联系。 随后,家属收到疑似电诈团伙发来的勒索信息,对方索要30万元人民币。 截至目前,李至国已失联约4个月,家属仍在寻找其下落。 频道广告赞助商 ——————————————— 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀9G.COM 全球布局 实力保障 😍😍😍😍⚡⚡电子大水柬埔寨大哥 麻将胡了两万一拉爆1600万 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 电子百家乐0审核0风控 包出款 全球顶级华人博彩平台 🤩🤩🤩🤩🤩🤩🤩🤩综合U台 赌神降临11天赢走1.6亿秒出款 零审核包出款 福利频道 @Y3SVIP75 官方网站: y3381.com ⚡️8K国际⚡️⚡️ 😀%⚡️⚡️⚡️⚡️⚡️⚡️⚡️不限ip 免实名 信誉至上·财富…

Showing the 12 most recent of 1,934 posts we hold for @SuBao888. 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 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“缅甸新闻|海豹资讯曝光|myanmar news” (@SuBao888), 154,528 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/SuBao888.

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.