Telegram RegisterThe public register of Telegram

Channel

东南亚灰产大事件💸

@dny900

2 usernames

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

34,418subscribers

-517 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1002149499529
TypeChannel
Usernames@dny900 @dsj_918
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live13 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/dny900

Growth

34,41834,93534,676.511 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 subscribers11 August 202613 August 2026
6 measurements spanning 2 days, net -517. 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 34,340–35,013 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:5934,418-330
12 Aug 2026, 18:3334,748-24
12 Aug 2026, 14:4534,772-77
11 Aug 2026, 21:3334,849-4
11 Aug 2026, 14:1634,853-82
11 Aug 2026, 02:1734,935first reading

Engagement

43 posts held, back to 10 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.26%
avg views ÷ 34,418 subscribers
Avg views / post
778
43 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
43
of 43 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 41 of 43 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 August 2026
Posts held43 (10 August 202613 August 2026)
Views total33,463
Reactions total372
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 09:35 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

Video runtime
15m 42s
Average length
1m 07s

Measured directly from 14 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

372 reactions across 41 posts, in 7 distinct kinds. The most used accounts for 62.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23162.1%
🔥7119.1%
🤔4913.2%
👍143.76%
👏41.08%
👎20.538%
🤯10.269%

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 41 of the 43 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 372reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 10 August 2026 to 13 August 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

13 Aug 2026, 08:55 UTC1 viewsread 13 August 2026
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#国内资讯:警惕全新视频通话骗局!蚌埠警方近期侦破了一类新型盗取付款码诈骗案件。 骗子通过社交软件和受害人接通视频通话,聊天过程中,会以视频验证、身份核验、刷单、开通会员等各种理由,诱导受害者打开手机付款码页面。 很多人以为只是给对方看一下屏幕并不会出事,殊不知骗子会利用视频高清画面,远程拍下你的付款条码,直接完成扣费盗刷。不需要拿到你的手机,仅仅通过视频画面,就可以转走账户内资金。 警方温馨提醒大家:微信、支付宝付款码属于资金支付密钥,绝对不要在视频通话里展示付款码。无论对方是什么理由,只要让你亮出付款码,一律视作诈骗。

13 Aug 2026, 08:28 UTC1 viewsread 13 August 2026
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#缅甸资讯:克伦邦妙瓦底会所每月需交10万缅币的费用。 据报道,妙瓦底的会所每月向各自辖区的警察缴纳10万缅元的费用,以防止店铺被查封。一位居民表示,缅甸军方收取费用却不采取法律行动,导致妙瓦底卖淫活动猖獗,这些妓院大多位于妙瓦底第四区,总共约有40家,其中大部分以克伦武装组织的名义经营。 目前,妙瓦底有超过2400名艾滋病毒感染者,平均每月新增感染病例10例。 8月10日上午,在克伦邦议会第三次例会上,克伦邦安全与边境事务部长梭温上校表示,他将查明并打击妙瓦底的卖淫活动,但当地居民称,警方并未逮捕任何妓院老板,他们仍在向居民收取月费。8月12日晚,在妙瓦底(4号街区)阿迪丹昂佛塔路右侧,靠近海曼乌寺方向,有会所开业。

13 Aug 2026, 07:16 UTC12 views9 reactionsread 13 August 2026
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美国正式取消联邦政府设备 TikTok 禁令 据报道,美国政府已于8月10日正式撤销此前针对联邦政府设备使用 TikTok 的限制措施,允许联邦公务设备重新安装和使用 TikTok 应用。 此次政策调整仅适用于美国联邦政府工作人员使用的公务设备,并不涉及普通美国用户的个人设备,也不代表美国市场全面解除对 TikTok 的相关监管限制。 美国白宫管理和预算局(OMB)以及司法部表示,经过审查,目前美国版 TikTok 的运营模式已经发生变化,与此前受关注的风险情况存在差异。由于美国版 TikTok 已由独立运营主体负责管理,不再完全受原有架构影响,因此不符合《政府设备禁用 TikTok 法案》继续限制的条件。 根据新的运营安排,美国及全球投资者合计持有美国版 TikTok 约80.1%的股份,原母公司字节跳动持股比例调整为19.9%。 其中,甲骨文(Oracle)、银湖资本(Silver Lake)以及阿布扎比投资公司

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13 Aug 2026, 06:25 UTC12 views9 reactionsread 13 August 2026
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#缅甸资讯:木姐由于频繁收税和频繁抓诈骗,许多诈骗窝点已从木姐迁移至105码地区。 据知情人士透露,在缅甸军方的压力下,位于边境城镇木姐镇的许多诈骗公司频繁遭到缅甸军方的逮捕。这些诈骗公司于8月11日迁至105英里外的木姐镇莫当村,此前已有许多网络诈骗迁至此处。 因为缅甸军方频繁给诈骗园区压力,导致大部分诈骗公司,迁移至木姐105码,目前的诈骗公司由三个民族武装组织共同控制:掸邦进步党(SSPP)、克钦独立军(KIA)和缅甸民族民主同盟军。目前尚不清楚哪些团体在领导和管理这些诈骗公司。 此外,一些由中国人经营的诈骗公司也设在105英里村的宾馆和酒店里,并由武装部队提供安保。最近,由于来自中国的压力,军方和民团频繁突袭并逮捕木姐镇的诈骗公司。

5🔥2🤔2

13 Aug 2026, 05:04 UTC≈2,030 views9 reactionsread 13 August 2026
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#网友投稿:这段感情一开始其实很普通。 刚认识她的时候,她只是偶尔让我给她买一杯咖啡,几十块钱而已。我觉得一个女生跟自己喜欢的人撒个娇、让买杯咖啡也没什么,所以基本都会满足她。 可后来我慢慢发现,只要有一次我不愿意给她买,她马上就会变脸,脾气特别大,甚至会说我小气、不在乎她。我当时并没有往坏处想,反而觉得可能是她缺乏安全感。 后来她跟我说,既然我这么喜欢她,那就正式做她男朋友。我也确实对她有感情,于是就答应了。 从那以后,我觉得自己既然是她男朋友,就应该宠着她,所以她提出的一些要求,我也尽量满足。可是事情就是从这里开始,一步一步变了。 最开始是一杯咖啡,后来变成了让我给她买一个榴莲,再后来又是衣服、鞋子、化妆品,各种东西越来越多。而且每一次她都会告诉我:“就这一次。” 我也一次次告诉自己,谈恋爱为女朋友花点钱很正常。可是后来这些东西渐渐从“偶尔需要”变成了“理所当然”。 甚至只要我有一次不给,她就开始发脾气、冷落我

5🔥2🤔2

13 Aug 2026, 03:14 UTC≈2,040 views9 reactionsread 13 August 2026
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真男人就是要干军包?🇨🇳山东青岛李沧警方破获假冒军人网恋诈骗案,十余名女子受骗 据青岛市公安局李沧分局8月12日向媒体披露,该局近期成功侦破一起冒充军人招摇撞骗案件,抓获一名涉案嫌疑人。 前期,李沧公安分局民警在日常巡查工作中发现可疑线索:一名网民频繁在短视频平台发布身着制式军装的个人视频,刻意塑造现役军人形象,试图打造正直稳重、条件优越的人设。 但民警细致核查后发现,该账号发布的内容前后矛盾、漏洞百出,诸多细节存在明显逻辑问题,疑似不法分子假冒军人身份实施违法犯罪活动。 针对该可疑线索,办案民警立即开展深度研判,通过多维度信息摸排,精准锁定嫌疑男子宋某的相关信息。在完整固定涉案佐证材料、确认其招摇撞骗的犯罪事实后,民警制定周密抓捕方案,于8月3日在某宾馆内将宋某抓获,现场查获制式军服三套,缴获作案工具若干。 到案后,犯罪嫌疑人宋某对其假冒军人身份、虚构婚恋事实招摇撞骗的违法犯罪行为供认不讳。 经公安机关查实,嫌疑人

5🔥3🤔1

12 Aug 2026, 15:45 UTC16 views9 reactionsread 13 August 2026
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#网友反馈:老挝万象三江盛大门口这条街有很多当地的警察,现场各种拦车,连电瓶车都拦下来检查,大家注意安全,没有证件的,不要出来了。

3👏2🔥2👍1🤔1

12 Aug 2026, 14:52 UTC17 views9 reactionsread 13 August 2026
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🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道,马来西亚耗资千亿美元打造的柔佛州“森林城市”(Forest City)因仅有一半不到的计划人口入住,原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性,吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点,逮捕335人(含309名中国籍),查获逾1500部手机及300余台电脑等作案工具。 专家指出,与柬埔寨或缅甸强迫劳动式园区不同,该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作,显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡~~

3🔥2👍1👏1🤔1🤯1

12 Aug 2026, 13:55 UTC15 views9 reactionsread 13 August 2026
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#缅甸资讯:木姐查获疑似网络诈骗窝点:60名中国籍男子被捕,缴获大量设备 据当地消息,8月11日上午10时35分左右,缅甸掸邦木姐地区开展执法行动,在木姐朵越沙滩路口正对面的第二条道路附近一处民宅内,发现并查处一处疑似从事网络诈骗活动的窝点。行动中,执法人员现场抓获60名涉嫌参与网络诈骗的中国籍男子,并查扣大量涉案电子设备。 据悉,现场共缴获手机85部、一体机电脑11台、StarLink设备2套、移动电源2台、笔记本电脑4台、UPS电源1台、摩托车2辆以及其他相关设备。目前,涉案人员已被有关部门控制,案件正在进一步调查处理中。警方将对涉案人员身份、设备数据以及是否涉及跨境网络诈骗活动展开核查。

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12 Aug 2026, 12:53 UTC14 views9 reactionsread 12 August 2026
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🇨🇳 广东梅州公安侦破特大虚假助贷诈骗案,抓获106人,涉案金额380余万元! 广东省公安厅8月4日通报: 近期,梅州市公安机关深入研判、波次收网,成功打掉一个传统诈骗与电信网络诈骗相结合,利用“线上+线下”模式,在全国实施虚假助贷的新型诈骗犯罪团伙,彻底捣毁“信息端—引流端—线下端—话务端”完整犯罪链条,抓获犯罪嫌疑人106人,涉案金额达380余万元。 经查,涉案团伙假借银行名义,向全国不特定群众群发虚假贷款诱导信息,完成前端引流,同时安排专人对受害人尤其是重疾人员、老年人、失业人员等易受骗群体进行话术引导,随后推送至本地线下“助贷公司”。线下助贷公司利用合法注册公司、正规写字楼办公的方式包装经营资质,伪装合法正规经营身份对接上门客户,通过虚构贷款实力、谎称拥有内部审批渠道、专属放款额度、低利率贷款资质等名义,对不懂网络贷款的群众虚构“风险管理金”骗取网贷金额25%的费用,实则仅代办群众可自主申请办理的普通信贷业务。 对

5🔥2🤔2

12 Aug 2026, 11:53 UTC16 views9 reactionsread 12 August 2026
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🇻🇳 越南丰科坊深夜突击检查,多名人员被带走调查 2026年8月12日 越南丰科坊(Phong Cốc)警方开展夜间突击检查行动,对当地部分人员及场所进行检查。 据现场消息称,行动期间有多人被警方带走接受调查,其中包括外籍人员。目前尚不清楚被带走人员是否涉及吸毒或其他违法行为。 近期越南部分地区持续加强治安检查,重点关注网络诈骗、涉du活动以及外籍人员身份和合法证件等情况。 此次行动的具体原因、被带走人数及后续处理结果,目前仍有待当地警方或有关部门进一步公布。

5🔥2🤔2

12 Aug 2026, 10:10 UTC14 views9 reactionsread 12 August 2026
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#缅甸资讯:克伦邦再曝69英亩新诈骗园区 关联克伦民族军首领之子 缅甸媒体8月10日发布调查,在克伦邦帕因觉镇一带发现一处新建诈骗园区,位置在梅拉瓦迪新村约1英里外,占地超过69英亩。 调查人员将现场视频和卫星影像进行比对,园区位置、建筑布局等特征基本吻合 卫星记录显示,这片区域从2025年12月开始大规模施工,与今年1月曝光的玉龙湾园区并非同一处。 调查显示,这处园区与克伦民族军首领索奇督的儿子索奇奇有关。索奇奇现任克伦民族军第999战术指挥部副指挥官。 一名前工作人员提供的信息显示,园区使用星链卫星网络和发电机维持运作,内部开展针对美国人的网络诈骗业务,工作人员外出受到限制。 今年1月曝光的玉龙湾园区位于妙瓦底一带,早在2020年就开始建设,当时关联的是索奇督另一名儿子索图埃穆。此次新园区的地点、建设时间和关联人物均不相同。 美国财政部此前已对克伦民族军、索奇督以及他的两个儿子索图埃穆和索奇奇实施制裁。相关制裁

5🔥2🤔2

Showing the 12 most recent of 43 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.

Citation-graph rank

Citation-graph rank — 1,021,312 of 1,176,251entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚灰产大事件💸” (@dny900), 34,418 subscribers as measured 13 August 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.