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Channel

东南亚新闻|斑马曝光|news

@Banma_xinwen

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

91,805subscribers

-7,394 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001787029254
TypeChannel
Username@Banma_xinwen
Description斑马曝光业务受理范围: 1.投稿爆料 2.澄清删帖 3.广告付费 🌏东南亚灰产新闻曝光: @Banma_xinwen 🇦🇪迪拜灰产新闻曝光: @Dubai_xinwen 🇵🇭菲律宾灰产新闻曝光: @Feilvbin_xinwen 🇰🇭柬埔寨灰产新闻曝光: @jianpuzhai_xinwen 🇹🇭🇲🇲🇱🇦金三角灰产新闻曝光: @jinsanjiao_xinwen ☎️ 爆料投稿: @banma_baoguang @banma_baoguang_bot(双向客服机器人)
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/Banma_xinwen

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 91% 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
@Banma_xinwen/107674 · this entry7 Aug 2026, 11:00 UTC@fw99244/151247 Aug 2026, 11:01 UTC1.0072 seconds
@Banma_xinwen/107675 · this entry7 Aug 2026, 11:01 UTC@fw99244/151257 Aug 2026, 11:03 UTC1.0072 seconds
@Banma_xinwen/107677 · this entry7 Aug 2026, 11:10 UTC@fw99244/151277 Aug 2026, 11:11 UTC1.00under a minute
@Banma_xinwen/107678 · this entry7 Aug 2026, 13:15 UTC@fw99244/151287 Aug 2026, 13:16 UTC1.00under a minute
@Banma_xinwen/107684 · this entry7 Aug 2026, 13:18 UTC@fw99244/151347 Aug 2026, 13:20 UTC1.0072 seconds
@Banma_xinwen/107685 · this entry7 Aug 2026, 13:21 UTC@fw99244/151357 Aug 2026, 13:21 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@fw9924410 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (10–0)
@dongnanya_xinbibaoguang6 (5/6 hand-verifiable sample passed)1.00under a minute@dongnanya_xinbibaoguang (6–0)

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 14 comparable posts for this entry, running 7 August 2026 to 7 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 @Banma_xinwen — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 7 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

91,80599,19995,5027 August 2026 — 99,199 subscribers8 August 2026 — 99,059 subscribers9 August 2026 — 98,098 subscribers10 August 2026 — 97,911 subscribers11 August 2026 — 97,676 subscribers12 August 2026 — 97,508 subscribers14 August 2026 — 97,409 subscribers15 August 2026 — 97,177 subscribers17 August 2026 — 96,954 subscribers18 August 2026 — 96,759 subscribers19 August 2026 — 96,650 subscribers20 August 2026 — 96,519 subscribers21 August 2026 — 96,452 subscribers22 August 2026 — 96,322 subscribers24 August 2026 — 95,994 subscribers25 August 2026 — 95,785 subscribers26 August 2026 — 95,675 subscribers27 August 2026 — 95,643 subscribers28 August 2026 — 95,507 subscribers29 August 2026 — 95,449 subscribers30 August 2026 — 95,279 subscribers31 August 2026 — 95,150 subscribers1 September 2026 — 95,016 subscribers2 September 2026 — 94,815 subscribers3 September 2026 — 94,668 subscribers5 September 2026 — 94,459 subscribers8 September 2026 — 93,971 subscribers11 September 2026 — 93,026 subscribers13 September 2026 — 92,704 subscribers14 September 2026 — 92,625 subscribers16 September 2026 — 92,550 subscribers18 September 2026 — 92,372 subscribers25 September 2026 — 91,805 subscribers7 August 202625 September 2026
33 measurements spanning 48 days, net -7,394. 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 90,696–100,308 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 01:3591,805-567
18 Sept 2026, 22:2192,372-178
16 Sept 2026, 11:5592,550-75
14 Sept 2026, 17:0192,625-79
13 Sept 2026, 05:0192,704-322
11 Sept 2026, 08:2093,026-945
8 Sept 2026, 16:1893,971-488
5 Sept 2026, 12:3994,459-209
3 Sept 2026, 17:1694,668-147
2 Sept 2026, 12:2594,815-201
1 Sept 2026, 12:1495,016-134
31 Aug 2026, 14:3495,150-129
30 Aug 2026, 17:4395,279-170
29 Aug 2026, 15:1495,449-58
28 Aug 2026, 16:0795,507-136
27 Aug 2026, 12:5895,643-32
26 Aug 2026, 15:2395,675-110
25 Aug 2026, 16:3395,785-209
24 Aug 2026, 14:5895,994-328
22 Aug 2026, 21:3796,322first reading

Engagement

1,405 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 115 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.03%
avg views ÷ 91,805 subscribers
Avg views / post
2,780
617 posts measured
Reaction rate
0.044%
reactions ÷ views · ER floor
Posts in window
711
of 1,405 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 186 of 617 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 1 October 2026
Posts held1,405 (7 August 2026 – 1 October 2026)
Views total1,716,163
Reactions total208
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 00:30 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
≈99,200
Videos
≈9,680
Links
≈5,690

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.

Video runtime
2h 42m
Average length
38s

Measured directly from 254 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

884 reactions across 232 posts, in 13 distinct kinds. The most used accounts for 12.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11212.7%
👍10912.3%
🤩10111.4%
🎉10011.3%
🔥9310.5%
🥰849.50%
😍798.94%
💯768.60%
❤‍🔥606.79%
😁262.94%
⚡222.49%
👏212.38%
👀10.113%

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 234 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 884 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 21 August 2026 to 1 October 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

1 Oct 2026, 23:00 UTC≈4,310 viewsread 2 October 2026
Video

【2028体育】TG全网最大信誉平台 玩家首选 🇺🇸🇻🇳🇷🇪🇻🇪🇺🇸🇻🇳⚡⚡⚡⚡⚡⚡⚡ 全网每月投流费用高达千万😃 #2028体育 无处不在 ⚡⚡免实名 专属网址: 2028vip2.com ⚡8K国际U台 8k2934.com 福利好超高爆率! #大户首选 支持vip等级平移 支持USDT👌微信👌支付宝 K豆等100多种钱包! 😀😀😀😀😀😀😀😀😀 🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 首存送 复存送 投注送 豪车嫩模! 电子黄金周 周一至周日福利拿不停! 单笔出款奖励最高⚡😍😍😍😍😍 以小博大 PP电子 极速糖果1000 爆出12103倍💥 百家乐战神 真人收割机 大佬一天收割2000万💥 气运之子 PP电子 麻将大胜 100元爆25000倍250万💥 PG战神 独创奇迹大佬麻将胡了1 两万一拉爆了3400万💥 😘2028体育欢迎各大老板盘总娱乐 #东南亚超高爆率电子人民币台 PG电子单注可拉2万一转 百家乐单注…

1 Oct 2026, 20:08 UTC≈3,660 viewsread 2 October 2026
Photo

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1 Oct 2026, 17:01 UTC≈3,360 viewsread 2 October 2026
Video

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1 Oct 2026, 15:38 UTC17 viewsread 2 October 2026
Photo

#骗子曝光 此人明总,长期活动马来西亚换u,由于比较信任,换钱。导致此人骗,绑架勒索我9万马币。 之前长期活动马来西亚,以上是此人微信✈️号,聊天记录。,我已报警,我相信你也看到了这条帖子,常在河边走没有不湿鞋,东南亚不大别被遇到了,人都会有撞鬼的那一天。

1 Oct 2026, 14:10 UTC14 viewsread 2 October 2026
Photo

#悬赏公告 #金三角特区 #悬赏50万RMB #姜凯峰 此人外号 牛牛。真名:姜凯峰,江苏人。在失联之前关系一直很好,之后向本人借了130万跑路失联,没有任何抵押,失联之前长期在特区活动。 姜凯峰我相信你也看到了这条帖子,常在河边走没有不湿鞋,东南亚不大别被遇到了,人都会有撞鬼的那一天 提供真实位置赏 把本人扣住赏30万RMB 联系方式:2054104074

1 Oct 2026, 14:02 UTC≈2,510 views1 reactionsread 2 October 2026
Video

#网友投稿:曝光别人之前,也该看看自己 这段时间以来,几乎每天都能看到有人在网上曝光所谓的“黑公司”“黑老板”。有人曝光拖欠工资,有人曝光业绩压力,也有人曝光自己在公司遭遇的各种问题。 但我一直在想一个问题:在曝光别人之前,有没有人认真想过,自己身上是不是也存在问题? 你当初为什么来到这里?工作之前谈好的规则是什么?自己的业绩有没有完成?该完成的事情有没有完成?有没有给公司创造相应的价值?自己承诺过的事情,又有没有做到? 这些问题,如果连自己都没有认真想过,就直接把所有责任推给公司,然后站出来曝光这个、曝光那个,我觉得至少应该先把事情的前因后果讲清楚。 当然,我并不是说所有公司都是对的。 如果一个公司确实存在完成业绩却故意拖欠工资、恶意克扣工资、欺骗员工、限制人身自由,甚至实施暴力等违法行为,那么依法维权、保留证据、向有关部门举报,完全是另一回事。 但是,有些人把“自己没有完成约定”与“公司违法”混为一谈,这也是值…

❤1

1 Oct 2026, 14:00 UTC≈3,400 viewsread 2 October 2026
Photo

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1 Oct 2026, 13:59 UTC≈3,410 views1 reactionsread 2 October 2026
Photo

#越南资讯:EVNNPT案件已立案48人,涉及5项罪名 越南公安部10月1日通报,围绕国家输电总公司(EVNNPT)及PC1等相关单位案件,调查机关目前已对48名嫌疑人立案,涉及5项罪名,包括严重违反招标规定、严重违反会计规定、行贿、受贿以及贪污资产。 案件涉及EVNNPT、北部及中部电力工程项目管理机构、PC1以及多家电力建设、咨询企业。 调查显示,500kV三回线路项目在预算编制与审批、招标文件制定、招标组织,以及工程验收、结算等环节存在违规行为。部分承包商在项目实施过程中,也被发现存在违法违规问题。 目前,公安机关已暂扣458亿越南盾、100万美元,并暂停、冻结总价值约17.56万亿越南盾(约5.3亿美元)的证券账户资产,同时继续调查并追缴涉案资产。

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Showing the 12 most recent of 1,405 posts we hold for @Banma_xinwen. 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 5 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

东南亚沸点Time🥇
@vip35r · 37,504
#1
柬埔寨西港曝光吃瓜新闻
@kaleminews · 207,918
#2
安危事件
@anwei2 · 36,660
#3
新华社丨新闻曝光
@iiiik · 47,328
#4
东南亚吃瓜🍉
@dny1577 · 5,343
#5
今日头条
@jinritoutiao6 · 20,405
#6
新闻资讯
@BG_BG8 · 38,746
#7
【曝光频道】迪拜菲律宾东南亚最新资讯
@baoguang212 · 17,370
#8
东南亚大事件/头条事件
@toutiao_4 · 1,166
#9
东南亚曝光网
@baoheitai · 1,134
#10
曝光黑平台&黑佣金
@BG886 · 54,584
#11
中文安危曝光🌸海外华人日记
@tghuarenba · 44,364
#12
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 236,958
#13
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 79,496
#14
大象曝光|新闻
@dxdb001 · 6,917
#15
华人大事件-吃瓜新闻
@baoguang821 · 51,566
#16
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 86,816
#17
黑彩平台曝光
@heicaibaog · 83,485 (as read 16 August 2026)
#18
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 931
#19
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,124
#20
东南亚头条吃瓜
@svipzz · 87,212
#21
菲律宾华人事件
@feilvbinghuarenriji · 16,655
#22
东南亚🇨🇿今日头条
@huohu158 · 205,209
#23
最前线大事件曝光
@cctv_dy · 36,686
#24
东南亚大事件·news channel
@gejige · 185,132
#25
新闻早班车🐾
@tg04277 · 33,845
#26
东南亚BC热点新闻
@baoguangqun110 · 37,040
#27
东南亚曝光/大事件
@dny099 · 75,081
#28
骗子曝光
@pzbgfabu666 · 363,622
#29
菲律宾 早贴新闻 @ZaoTiePH
@ZaoTiePH · 3,390
#30
安危头条/新闻头条
@dnyawtt · 51,701
#31
博度-东南亚曝光新闻
@bodu08 · 58,821
#32
今日聚焦曝光
@a0159 · 127,914
#33
头条事件
@toutiaoshijian · 72,820
#34
菲律宾华人大事件
@ke5689 · 269,019
#35
东南亚新闻💎
@vipn8888 · 67,457
#36
菲律宾新闻频道
@baoguangqun999 · 37,189
#37
今日头条 曝光频道
@jrttbg · 157,522
#38
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 70,910
#39
东南亚今日头条.
@mbhl1 · 2,505
#40
东南亚曝光吧(吃瓜)
@SB919 · 128,290
#41
东南亚华人大事件
@jsj62 · 22,648
#42
迪拜新闻|华人资讯大曝光
@xinwen118 · 120,827
#43
曝光骗子
@baoguang2022 · 148,798
#44
柬埔寨西港大事件
@BG423 · 33,478
#45
菲律宾大事件灰产新闻/曝光
@tg89aa · 137,688
#46
全网曝光
@quanwangbaoguangb · 148,210
#47
东南亚大事件
@bx666 · 467,845
#48
东南亚大事件(吃瓜)
@HH9915 · 124,245
#49
今日头条(东南亚大事件)
@jinritoutiao88888 · 654
#50
Makati新闻社
@makatinews · 34,334
#51
全网曝光|东南亚日记
@bbb1b · 329,787
#52
斯里兰卡头条新闻曝光
@baoguangee · 180,293
#53
曝光频道
@baoguang_w · 47,000
#54
老挝新闻|华人资讯曝光|laos news
@laowohuarenzixun · 68,947
#55
菲龙网新闻|官方频道
@woaiui · 9,178
#56
东南亚热点资讯
@rdzx0 · 108,708
#57
东南亚头条资讯
@dongnanyatoutiaozixun1 · 939
#58
东南亚华人情报站
@svip40 · 107,808
#59
泰国大事件
@dnyxst · 70,799
#60
全网曝光
@rjjjj · 42,292
#61
东南亚曝光(吃瓜)
@dongnanya108 · 158,477
#62
支付圈-吃瓜群众
@zfqcg · 2,850
#63
迪拜华人大事件|新闻|曝光
@DB405 · 58,579
#64
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 172,311
#65
华人第一资讯
@Dzx199 · 23,311
#66
泰国新闻|华人资讯曝光|thailand news
@taiguohuarenzixun · 83,128
#67
迪拜新闻|东南亚大事件|曝光群
@baoguang032 · 21,119
#68
头条快报
@ttkb0 · 120,699
#69
🅥世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 376,817
#70
新博东南亚新闻
@xbbg8 · 280
#71
菲龙网新闻中文媒体【官方】
@feilongwang · 91,947
#72
东南亚 曝光 悬赏 新闻
@DNYXW008 · 79,700
#73
东南亚曝光台☎️
@DNYBG234 · 86,663
#74
🇵🇭菲律宾新闻【转转娱乐赞助】
@feilibingFBI · 7,225
#75
东南亚曝光频道
@BG2288 · 81,773
#76
东南亚大事件
@chadnag001 · 55,919
#77

Read from Telegram’s recommendation API, most recently 16 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 236,958
Telegram ranks this channel #1 of 68 here — alongside 67 others — read 11 August 2026
东南亚大事件·news channel
@gejige · 185,132
Telegram ranks this channel #3 of 77 here — alongside 76 others — read 15 August 2026
东南亚新闻-通缉-曝光社🌏
@dnyxinwen668 · 40,493
Telegram ranks this channel #4 of 60 here — alongside 59 others — read 22 August 2026
安危头条/新闻头条
@dnyawtt · 51,701
Telegram ranks this channel #5 of 65 here — alongside 64 others — read 23 August 2026
曝光黑平台&黑佣金
@BG886 · 54,584
Telegram ranks this channel #5 of 60 here — alongside 59 others — read 23 August 2026
菲律宾/头条事件/曝光
@vjtyd · 72,407
Telegram ranks this channel #5 of 59 here — alongside 58 others — read 23 August 2026
今日头条 曝光频道
@jrttbg · 157,522
Telegram ranks this channel #5 of 68 here — alongside 67 others — read 12 August 2026
柬埔寨大事件
@Cambodia15 · 73,997
Telegram ranks this channel #6 of 65 here — alongside 64 others — read 24 August 2026
柬埔寨新闻头条
@hyxw3 · 76,099
Telegram ranks this channel #6 of 76 here — alongside 75 others — read 19 August 2026
东南亚曝光/大事件
@dny099 · 75,081
Telegram ranks this channel #7 of 67 here — alongside 66 others — read 22 August 2026
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 70,910
Telegram ranks this channel #7 of 77 here — alongside 76 others — read 16 August 2026
东南亚🇨🇿今日头条
@huohu158 · 205,209
Telegram ranks this channel #7 of 74 here — alongside 73 others — read 15 August 2026
东南亚大事件(吃瓜)
@HH9915 · 124,245
Telegram ranks this channel #7 of 73 here — alongside 72 others — read 14 August 2026
老挝新闻|华人资讯曝光|laos news
@laowohuarenzixun · 68,947
Telegram ranks this channel #8 of 74 here — alongside 73 others — read 16 August 2026
骗子曝光
@pzbgfabu666 · 363,622
Telegram ranks this channel #8 of 68 here — alongside 67 others — read 14 August 2026
全网曝光|东南亚大事件
@dnysj · 201,277
Telegram ranks this channel #8 of 59 here — alongside 58 others — read 13 August 2026
东南亚大事件 🅥
@dashijianx · 224,937
Telegram ranks this channel #8 of 41 here — alongside 40 others — read 11 August 2026
华人便民大事件-柬搜新闻កម្ពុជា។🇰🇭
@bgyq555 · 50,789
Telegram ranks this channel #9 of 43 here — alongside 42 others — read 23 August 2026
全网曝光|东南亚日记
@bbb1b · 329,787
Telegram ranks this channel #9 of 63 here — alongside 62 others — read 10 August 2026
华人大事件-吃瓜新闻
@baoguang821 · 51,566
Telegram ranks this channel #11 of 71 here — alongside 70 others — read 22 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 51,582
Telegram ranks this channel #11 of 72 here — alongside 71 others — read 21 August 2026
东南亚热点资讯
@rdzx0 · 108,708
Telegram ranks this channel #11 of 80 here — alongside 79 others — read 18 August 2026
泰国新闻|华人资讯曝光|thailand news
@taiguohuarenzixun · 83,128
Telegram ranks this channel #11 of 71 here — alongside 70 others — read 15 August 2026
曝光骗子
@baoguang2022 · 148,798
Telegram ranks this channel #12 of 76 here — alongside 75 others — read 15 August 2026

This channel appears in 96 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“东南亚新闻|斑马曝光|news” (@Banma_xinwen), 91,805 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Banma_xinwen.

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.