#网友爆料 #欠薪不给 #老街东城 打 #米房 我们被抓进去的时候 说要去保 结果进去一个月一点消息没有就算了 保的钱还是家里出的 出来到外面工资也不给发 主管名字 #飞扬 我在这里最后说一遍 在不回消息 在不发这个工资 那么只能把老板和你的照片发出来了 ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101

Channel
东南亚大事件|投稿平台|曝光平台|担保平台
@dsj102
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
43,910subscribers
-18,883 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 | -1002596890626 |
|---|---|
| Type | Channel |
| Username | @dsj102 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #迪拜 #越南 #老挝 【东南亚大事件官方曝光台】每天清晨更新。聚焦柬埔寨、菲律宾、缅甸、泰国、迪拜、越南、老挝等最新华人突发新闻、海外求助、避坑指南、行业担保、不实曝光澄清。 投稿爆料: @dsj101 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/dsj102 |
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 99% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 10:38 | 43,910 | -7,095 |
| 4 Sept 2026, 12:21 | 51,005 | +120 |
| 3 Sept 2026, 02:25 | 50,885 | -107 |
| 1 Sept 2026, 20:44 | 50,992 | -16 |
| 31 Aug 2026, 20:08 | 51,008 | -19 |
| 30 Aug 2026, 23:18 | 51,027 | -95 |
| 30 Aug 2026, 02:39 | 51,122 | -249 |
| 28 Aug 2026, 23:24 | 51,371 | -148 |
| 27 Aug 2026, 20:53 | 51,519 | -63 |
| 26 Aug 2026, 18:54 | 51,582 | -94 |
| 25 Aug 2026, 16:13 | 51,676 | -179 |
| 24 Aug 2026, 18:58 | 51,855 | -106 |
| 23 Aug 2026, 03:58 | 51,961 | +1,267 |
| 21 Aug 2026, 13:53 | 50,694 | -9,303 |
| 20 Aug 2026, 13:58 | 59,997 | -735 |
| 19 Aug 2026, 14:34 | 60,732 | -116 |
| 18 Aug 2026, 16:43 | 60,848 | -261 |
| 17 Aug 2026, 20:14 | 61,109 | -144 |
| 16 Aug 2026, 18:04 | 61,253 | -379 |
| 15 Aug 2026, 02:56 | 61,632 | first reading |
Engagement
735 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 70 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.165%
- avg views ÷ 43,910 subscribers
- Avg views / post
- 72.4
- 621 posts measured
- Reaction rate
- 0.715%
- reactions ÷ views · ER floor
- Posts in window
- 621
- of 735 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 30 of 621 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 September 2026 |
|---|---|
| Posts held | 735 (7 August 2026 – 10 September 2026) |
| Views total | 44,952 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 11:54 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
- ≈80,200
- Videos
- ≈14,800
- Links
- ≈44,700
Lifetime counters from Telegram’s own channel header, read 10 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
- 1h 19m
- Average length
- 30s
Measured directly from 158 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
23 reactions across 23 posts, in 3 distinct kinds. The most used accounts for 87.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 87.0% | |
| 👍 | 2 | 8.70% | |
| ⚡ | 1 | 4.35% |
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 33 of the 735 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 735 most recent posts we hold, published 7 August 2026 to 10 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
#网友投稿 #妹妹们不属于自己的了,要学会放手的,不是叫你们合起来去演戏、造谣、让人家去分手的知道吗?你们知道身败名裂这个词吗?你们以为你们合起伙来去欺负一个女生,是谁都不知道吗?你们以为你们演戏的天衣无缝?得不到就造谣人是吗? 你们的父母没有教过你们人要要点脸吗?不是、没人理你们,而是所有人都看清你了、人品低劣.你们以为你们这样是深情?别玷污这两个字了!这叫偏执、叫不要脸、叫没人要!没人会同情你们的 所有人只会觉得你恶心、下贱、不可理喻! 你们现在做的每一件事、说的每一句话,都在亲手把自己的名声踩烂.连一个愿意帮你们说话的人都没有! 这就是你们纠缠的代价!(大家在曼德勒的避雷这几个女生小心被他们祸害) ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
#另一位受害者追加投稿 这个人七月份的时候跟我借了两百万缅币,说是进亚太被抓身上没钱开酒店没钱吃饭钱叫我先转给他下明天联系到家人就还,后面一直拖到现在飞机也不上线了。 现在这种环境交朋友要谨慎他很擅长伪装,说大话吹牛逼,人品极差,爱吸毒赌博什么都碰,看见他就直接远离吧。 这种人渣到处借钱骗钱脸都不要了,狗都不如的畜生,那个钱你也不需要还了就当给你买棺材早点走吧。 ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
👇👇👇👇👇👇
🇹🇭 #泰国皇家寺庙住持 涉挪用9200万泰铢被捕 9月10日,#泰国 警方逮捕著名瓦普泰萨万皇家寺庙66岁住持帕瓦奇拉扬,指控其挪用寺庙资金逾9200万泰铢及洗钱。 警方称,该住持将寺庙资金挪作私用并转移至一名关系密切的女性名下,两年多内虚开捐款收据20余张 逮捕时还发现其与女性的性行为视频记录。 同案一名47岁女性亦因协助挪用资金及洗钱被捕 目前案件尚未经法院最终判决。 ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
#西港最大彩票庄家被捕 柬媒消息:昨天,西港省警察局采取执法行动,成功逮捕 #西港 #最大的地下彩票庄家“#汤先生”。 目前,嫌疑人已被暂扣于西港省警察局接受进一步审讯,等待依法作后续处理。 当前,西港警方正扩大排查范围,涉及非法彩票、网络斗鸡等危害社会治安的赌博从业人员均将面临法律惩处。 ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
#越南资讯: 一通“快递电话”骗走近4亿越南盾:谎称误开每月400万套餐,7人落网 9月8日,越南谅山省公安公布一起假冒快递员电话诈骗案,阮文后等7人被立案羁押。该团伙从8月5日起作案,已骗走多名受害者近4亿越南盾。 他们专门收集网购客户资料,冒充快递员打电话,谎称客户付款时误开通了一项服务,每月会自动扣除400万越南盾。 受害者一旦慌张要求取消,电话就会被转给假冒仓库人员和物流总公司员工的同伙,再一步步诱导受害者向指定银行账户转账。 团伙分工明确,提前准备手机、电话卡、银行卡和虚假Facebook账号。阮文后负责租房、准备工具、分配任务和结算赃款,并从诈骗所得中拿走50%。 8月28日下午,警方突查谅山省武礼社欢中村一处高脚屋,当场发现9人正在冒充快递员拨打诈骗电话。 阮文后此前曾前往柬埔寨诈骗公司工作,返回越南后继续与外籍人员联系,并在当地组织人员实施诈骗。 ================ 关注大事件频道 : …
#突发事件:#西港 #长城 刚刚被宪兵队围了,还有几辆大巴车在现场。 ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
#网友投稿 ‼️‼️#中国同胞注意‼️‼️今天我老婆本打算去越南办理签证,结果在群里看到联系方式后与对方取得联系。 起初对方态度还可以,但当我们按要求准备好全部资料后,对方却拒绝告知资料的具体用途。我们被带去排队办理登机牌,却因为签证问题无法取到登机牌。旅行社全程未提前告知需要更换签证,也未安排后续行程。询问原因时,对方称自己也未去过越南,只是负责签证办理。最终,签证未能办理成功,对方不仅拒绝退款,还直接将我们拉黑。请问现在柬埔寨几乎已无中国人,旅行社凭什么敢这样坑害我们?希望大家提高警惕,不要再被这种黑旅行社交易! ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
👍1
#群友反馈 在。#波贝 开工的团队要当心了。 ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
#曝光 #莫镇林(网名:#万亿) 落魄 “盘总” 画饼借钱 9100USDT 到手即失联 #莫镇林(网名 #万亿):昔日柬埔寨 “盘总”,如今落魄到借 ID 贷、手机被锁。今年 6 月起以 “带人合作新项目” 为名,陆续借款、索启动金7600USDT;又谎称在泰遇麻烦,代垫办事费1500USDT,合计9100USDT。 一个多月天天 “明天到”,人影全无、谎话连篇。要钱时卑微如狗,到账后翻脸成爷,承诺从未兑现。靠旧日人脉与光环拆东补西、专骗熟人老板! 别借钱、别合作、别信任何 “起盘带团队” 鬼话! 再不还钱,就不是公开曝光这么简单了 —— 万总,你看着办! ================ 关注大事件频道 : https://t.me/+SAXfXYKCm_gxODhk ☎️ 免费投稿爆料: ➡️ @dsj101
👇👇👇👇👇👇
Showing the 12 most recent of 735 posts we hold for @dsj102. 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
Names
Channels on the register whose handles appear in this channel's posts.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件|投稿平台|曝光平台|担保平台” (@dsj102), 43,910 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/dsj102.
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.