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Channel

东南亚灰产大事件💸

@dny900

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

28,900subscribers

-6,035 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1002149499529
TypeChannel
Usernames@dny900 @dsj_918
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚灰产大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 不求最好只求更好 投稿,曝料,商务合作: @TG_BG0 国漫电影院:https://t.me/GMDYY0 关注世界杯:https://t.me/dny500
CreatedBetween 1 April 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live26 September 2026
Measurements held58
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/dny900

Topic

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 75% 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.

Views per post sit far below this size band

8.3 average views per post against 28,900 subscribers — an engagement rate of 0.029%. Across the 1,289 registered channels in the same cohort — 10,026–31,615 subscribers, posting mainly in Chinese — the middle half sit between 1.49% and 7.71%, with a median of 3.36%.

What this was computed from
Window30 days (28 August 2026 – 27 September 2026)
Posts measured215 of 215 published in the window (215 exact, 0 rounded by Telegram)
Views totalled1,792
Mature posts only0.028% over 15 posts read at least 24h after publication
Subscribers28,900 measured 26 September 2026
Cohortb10000:zho · 1,289 channels · p10 0.435% · p25 1.49% · p50 3.36% · p75 7.71% · p90 14.6%
Position in cohort0.776th percentile · 1/111 the cohort median
Uncertainty±0.1% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_low, last confirmed 27 September 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

28,90034,93531,917.511 August 2026 — 34,935 subscribers11 August 2026 — 34,853 subscribers11 August 2026 — 34,849 subscribers12 August 2026 — 34,772 subscribers12 August 2026 — 34,748 subscribers13 August 2026 — 34,418 subscribers14 August 2026 — 34,335 subscribers14 August 2026 — 34,295 subscribers15 August 2026 — 34,196 subscribers16 August 2026 — 34,042 subscribers17 August 2026 — 33,778 subscribers17 August 2026 — 33,757 subscribers18 August 2026 — 33,329 subscribers18 August 2026 — 33,088 subscribers19 August 2026 — 32,913 subscribers19 August 2026 — 32,892 subscribers20 August 2026 — 32,858 subscribers20 August 2026 — 32,794 subscribers21 August 2026 — 32,726 subscribers22 August 2026 — 32,678 subscribers22 August 2026 — 32,547 subscribers23 August 2026 — 32,422 subscribers24 August 2026 — 32,376 subscribers25 August 2026 — 32,205 subscribers25 August 2026 — 32,108 subscribers26 August 2026 — 32,013 subscribers26 August 2026 — 32,013 subscribers27 August 2026 — 31,925 subscribers27 August 2026 — 31,925 subscribers28 August 2026 — 31,876 subscribers28 August 2026 — 31,832 subscribers29 August 2026 — 31,751 subscribers29 August 2026 — 31,652 subscribers30 August 2026 — 31,587 subscribers30 August 2026 — 31,587 subscribers31 August 2026 — 31,442 subscribers31 August 2026 — 31,442 subscribers1 September 2026 — 31,198 subscribers1 September 2026 — 31,198 subscribers2 September 2026 — 30,940 subscribers2 September 2026 — 30,940 subscribers3 September 2026 — 30,749 subscribers3 September 2026 — 30,715 subscribers5 September 2026 — 30,613 subscribers5 September 2026 — 30,605 subscribers8 September 2026 — 30,328 subscribers9 September 2026 — 30,328 subscribers11 September 2026 — 30,150 subscribers11 September 2026 — 30,150 subscribers13 September 2026 — 29,762 subscribers13 September 2026 — 29,762 subscribers15 September 2026 — 29,619 subscribers15 September 2026 — 29,619 subscribers16 September 2026 — 29,417 subscribers17 September 2026 — 29,409 subscribers19 September 2026 — 29,325 subscribers26 September 2026 — 28,950 subscribers26 September 2026 — 28,900 subscribers11 August 202626 September 2026
58 measurements spanning 46 days, net -6,035. 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 27,995–35,840 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
26 Sept 2026, 09:5728,900-50
26 Sept 2026, 04:1628,950-375
19 Sept 2026, 08:1829,325-84
17 Sept 2026, 08:1929,409-8
16 Sept 2026, 20:1829,417-202
15 Sept 2026, 04:5729,619no change
15 Sept 2026, 00:4029,619-143
13 Sept 2026, 11:3929,762no change
13 Sept 2026, 10:5929,762-388
11 Sept 2026, 18:1530,150no change
11 Sept 2026, 16:3730,150-178
9 Sept 2026, 04:0030,328no change
8 Sept 2026, 23:3830,328-277
5 Sept 2026, 20:0130,605-8
5 Sept 2026, 16:1730,613-102
3 Sept 2026, 19:2030,715-34
3 Sept 2026, 15:1530,749-191
2 Sept 2026, 08:5830,940no change
2 Sept 2026, 07:4330,940-258
1 Sept 2026, 08:0631,198first reading

Engagement

465 posts held, back to 10 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 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.028%
avg views ÷ 28,900 subscribers
Avg views / post
8.1
225 posts measured
Reaction rate
65.9%
reactions ÷ views · ER floor
Posts in window
225
of 465 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 131 of 225 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 27 September 2026
Posts held465 (10 August 2026 – 27 September 2026)
Views total1,823
Reactions total956
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 18:56 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
≈11,100
Videos
≈2,120
Links
≈266

Lifetime counters from Telegram’s own channel header, read 27 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 33m
Average length
1m 06s

Measured directly from 139 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

3,077 reactions across 368 posts, in 15 distinct kinds. The most used accounts for 54.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,67354.4%
🔥71723.3%
🤔55818.1%
🤯401.30%
👍311.01%
👎210.682%
👏100.325%
😢60.195%
🎉50.162%
⚡40.13%
😁40.13%
🤩30.097%
🥰30.097%
💩10.032%
🤡10.032%

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 368 of the 465 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 3,077 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 465 most recent posts we hold, published 10 August 2026 to 27 September 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

27 Sept 2026, 15:35 UTC3 viewsread 27 September 2026
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#群友投稿:人在东南亚待久了,才会越来越明白一件事: 成年人的世界,没有那么多浪漫,更多的是现实。刚来的时候,总觉得换一个地方生活,无非就是换个环境,换群人,重新开始。真正待下来以后才发现,异国他乡不是旅游。 旅游的时候,看的是风景、酒店、美食和夜生活;真正留下来生活以后,看见的却是生意、人情、压力、收入,还有每天必须解决的各种问题。 在国内的时候,很多事情有人情、有关系、有熟悉的环境。到了东南亚,一切都要重新适应。语言要适应,环境要适应,做事的方式要适应,人与人之间的相处方式也要适应。 有时候一个人坐在异国的街头,看着来来往往的人,会突然觉得:原来成年人的安全感,从来不是别人给的,是自己一点一点挣出来的。 所以现在的我,谈恋爱也好,交朋友也好,做事情也好,都会比以前现实一些。 不是变得冷漠了,而是经历得多了以后,终于明白:感情可以有,但不能没有分寸;梦想可以有,但不能没有行动;野心可以有,但银行卡里最好也得有点东西…

27 Sept 2026, 13:44 UTC5 views1 reactionsread 27 September 2026
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冒充大陆公安诈骗逾50人 “天金诈骗集团”20人遭起诉 台湾彰化地方检察署9月27日公布“天金诈骗集团”案件进展。该集团涉嫌冒充中国大陆公安人员,以涉及洗钱等理由诈骗民众,受害者超过50人。检方已分6波起诉20人,并对集团核心成员林姓女子求刑25年。 检方指出,该集团由廖姓男子、林姓女子为核心,设立“天成机房”及“金云曜机房”,专门从事假冒大陆公安的电信诈骗。为躲避警方查缉,集团多次更换机房地点,先后转移至台中梧栖、乌日及北屯等地,并与其他诈骗集团合作,招募车手及收簿人员转移、洗白赃款。 其中,一名在新加坡留学的学生接到诈骗电话后,被骗称银行账户涉及洗钱,随后遭要求前往越南“配合调查”。诈骗人员进一步控制其手机,并制作学生遭捆绑的视频,再以视频向身处中国大陆的台商父亲勒索财物。 该名家长最终在中国大陆交出4公斤黄金,价值超过1600万元新台币。诈骗集团随后派遣车手前往大陆取走黄金,并通过相关管道将赃款洗白。 彰化地检署…

👏1

27 Sept 2026, 13:43 UTC1 viewsread 27 September 2026
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汇旺涉嫌洗钱240亿美元,主要服务电诈产业 据香港明报、香港01联合报道,汇旺集团近日陷入洗钱风波,其董事长李雄被押解回中国后,调查显示,过去四年汇旺涉嫌通过旗下平台洗钱高达 240亿美元,且主要服务对象为电信诈骗及网络犯罪团伙。 据总部位于英国伦敦的区块链分析公司 Elliptic 统计,自2021年以来,汇旺担保及旗下商家使用的加密货币钱包,已接收超过 240亿美元资金,其中大部分资金流向电诈产业。据明报援引 Elliptic 的研究,汇旺集团在去年春天之前共促成近 270亿美元交易,虽部分交易可能合法,但大规模资金流显示其存在洗钱风险。 消息还指出,汇旺旗下 汇旺担保 和 好旺担保,被认为是集团洗钱的核心工具,而其支付平台 汇旺支付(Huione Pay) 和所谓平民化银行 胖大银行(Panda Bank) 表面上服务普通用户,实际上被用于暗网交易和“杀猪盘”诈骗收益洗白,成为全球最大的暗网交易平台之一。 香港01…

27 Sept 2026, 12:48 UTC4 viewsread 27 September 2026
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巴基斯坦NCCIA在伊斯兰堡查处非法呼叫中心,9人被捕【含5名中国人】 据巴基斯坦联合通讯社(APP)报道,9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)伊斯兰堡分部对一处涉嫌从事网络诈骗活动的非法呼叫中心展开突击行动。 此次行动依据第156/2026号第一信息报告(FIR)展开,案件涉及涉嫌利用电子手段实施欺诈活动。 行动中,执法人员共逮捕9名嫌疑人,其中包括5名外国籍人员和4名巴基斯坦籍人员。同时,执法人员还查扣多部电子设备及其他疑似与非法呼叫中心活动有关的证据。 NCCIA表示,目前已对查扣的设备及相关材料展开进一步调查,以确认涉案人员的具体分工、诈骗手法及案件涉及规模,并查明是否有其他人员或相关犯罪网络牵涉其中。 目前,案件仍在进一步调查之中。

27 Sept 2026, 11:50 UTC3 viewsread 27 September 2026
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山东枣庄警方侦破一起侵犯公民个人信息案,抓获涉案人员28名,查获公民个人信息4000余万条 近日,山东省枣庄市公安局网安部门在“净网—2026”专项行动中,成功侦破一起侵犯公民个人信息案,打掉犯罪团伙2个,抓获涉案人员28名,查获被非法获取、倒卖的公民个人信息4000余万条,初步查明涉案金额600余万元。 2026年5月,枣庄市滕州公安网安部门在工作中发现,网民马某某长期通过非法渠道大量购买公民个人信息,并将相关信息批量用于贷款业务电话推销,严重侵害群众合法权益。 经进一步侦查,警方发现,马某某组织多人非法获取、整理、倒卖公民个人信息,逐步形成了“获取—整理—分销—变现”的黑色产业链。该犯罪团伙涉案人员众多、涉及信息数量巨大,社会危害性较强。 在查清案件事实、固定相关证据后,枣庄警方组织警力分赴多地开展抓捕行动,成功将28名涉案人员全部抓获,依法捣毁相关犯罪团伙。目前,案件正在进一步办理中。 警方提醒,公民个人信息一旦…

27 Sept 2026, 10:50 UTC4 viewsread 27 September 2026
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#网友投稿:新型盗U,兄弟们注意了! 骗子找到了新套路:不发钓鱼链接,诱导用户主动清空自己的钱包。他们在 YouTube 上传教程,教大家用 Claude 搭建 AI 加密货币交易机器人。 最近出现一种全新的虚拟币骗局,和以往发钓鱼链接骗密码的套路完全不一样,全程没有钓鱼链接,而是引导受害者亲手操作,自己把钱包里的资产转给骗子。 骗子在 YouTube 大量发布视频教程,用 AI 生成虚拟主播配音,对外宣称:可以借助 Claude 大模型,一键搭建自动套利的加密货币交易机器人,开启之后自动赚钱,稳赚不赔。 骗局完整流程 1. 视频里演示全套教程,教观众复制代码,去一个仿冒的合约编译网站部署智能合约,看起来非常专业。 2. 这个编译网站是骗子自己搭建的,你粘贴进去的正常代码会在后台偷偷替换成盗币代码。屏幕上展示的代码是干净的,实际部署到链上的是盗币合约。 3. 按照视频指引,受害者自己把加密货币转入合约钱包,手动确认授…

27 Sept 2026, 09:17 UTC4 viewsread 27 September 2026
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#马来西亚资讯:吉隆坡娱乐场所突遭检查 3名中国男子和1名菲律宾男子被扣 9月27日,马来西亚移民局通报,执法人员突查吉隆坡旧巴生路一家娱乐场所,当场扣查4名外国男子,包括3名中国籍和1名菲律宾籍,年龄21至31岁。 4人接受检查时,都无法出示合法旅行证件或有效居留准证,随后被带往布城移民局进一步调查。这次行动由马来西亚移民局总部情报与特别行动部门执行,国家反毒机构参与配合。 调查显示,这家娱乐场所从2025年开始营业,主要安排外国人进行表演。执法人员还通知3名马来西亚男子前往移民局协助调查。 PS:谁家男模被扣了🤣

27 Sept 2026, 08:25 UTC2 viewsread 27 September 2026
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#斯里兰卡资讯:机场抓2名中国男子!行李藏3.2万支香烟 9月27日,斯里兰卡警方在科伦坡班达拉奈克国际机场查获一起涉嫌走私香烟案件,两名中国籍男子被捕,行李中共查出3.2万支外国香烟。 警方表示,机场警察缉毒局根据线索对两名入境旅客展开检查,先从一名36岁中国男子携带物品中查获70条、1.4万支香烟,随后又从一名56岁中国男子处查获90条、1.8万支香烟。 两人合计被查出160条、3.2万支香烟。警方称,相关香烟涉嫌未依法申报入境,目前两人已被控制,案件交由卡图纳亚克机场相关部门继续调查,警方正进一步追查香烟来源及入境目的。

27 Sept 2026, 07:31 UTC2 viewsread 27 September 2026
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🇹🇭曼谷的洪水,有点大… 据曼谷市政府防灾减灾指挥部通报,当地时间9月26日,曼谷市长差察·西迪汶宣布,曼谷全市50个区全部划为洪水灾区。 近48小时持续强降雨造成曼谷大范围内涝、交通中断,部分路段积水严重。当局开放学校等场所作为临时避难所,加紧排水、分发沙袋开展救灾工作。 泰国气象部门预警,曼谷及周边区域仍有强降雨,需要防范山洪、滑坡风险。

27 Sept 2026, 06:25 UTC2 viewsread 27 September 2026
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半年收20万美元!机场移民警察被指替涉诈人员“开路” 9月25日,柬埔寨反腐败机构(ACU)发布案件调查通报,披露一名在德崇国际机场工作的移民警察涉嫌利用职务便利,为部分外籍人员违规进入柬埔寨提供协助,其中涉及电诈团伙人员。 ACU公布,该警员名为皮帕平(音译),警衔为二级警尉。 通报称,调查人员通过一个电诈团伙发现其涉案线索。该团伙与中国籍人员 张建强(音译)有关,后者被指曾带领人员从中国进入柬埔寨。ACU称,皮帕平涉嫌为相关人员办理、协调入境手续。 ACU指出,其涉嫌违规协助进入柬埔寨的人员,包括被列入黑名单者、使用虚假护照者,以及需要安排人员在机场接应、引导入境的外籍人员。ACU称,包括张建强相关涉诈人员在内的一些人员因此得以顺利入境。 根据通报披露,其还对不同入境“服务”设置收费标准,包括商业签证约380至420美元、电子商务入境手续900美元、旅游签证120美元,以及VIP快速通关450美元。 尤其值得关注…

27 Sept 2026, 05:23 UTC4 views1 reactionsread 27 September 2026
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柬埔寨正调查太子集团30家子公司 柬埔寨政府正在开始对太子集团子公司进行调查。国务部长、国家打击网络诈骗委员会秘书长蔡西那烈近日接受彭博社采访时透露,当局目前正积极调查约30家太子集团旗下子公司。 蔡西那烈表示,调查不能只停留在电诈园区,还必须追查背后的资金和企业网络,“因为大多数时候,犯罪所得都是通过合法企业进行洗钱的。” 除此之外,柬埔寨还在同时追查与该集团有关、位于新加坡、美国和英国等地的境外资产。 蔡西那烈表示,柬埔寨下一阶段的反电诈行动也将重点检查持牌赌场。他称,一些赌场涉嫌参与网络诈骗和网络赌博,却可以利用合法牌照作为掩护,因此需要加强监管和检查。 太子集团此前已经成为多国执法和制裁行动的重点。2025年10月,美国将太子集团列为跨国犯罪组织,并对陈志及集团庞大的关联企业网络实施制裁;英国也同步采取制裁措施。2026年6月,美国又进一步制裁名个人和26家与太子集团有关的实体。在最近的9月21日,美国国务院宣…

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Showing the 12 most recent of 465 posts we hold for @dny900. 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚灰产大事件💸” (@dny900), 28,900 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/dny900.

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.