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Channel
东南亚茶水间|新闻|曝料|悬赏|吃瓜🍉
@D_N_Y_1
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
36,398subscribers
-3,645 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002561459890 |
|---|---|
| Type | Channel |
| Username | @D_N_Y_1 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/D_N_Y_1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 20:07 | 36,398 | -110 |
| 30 Aug 2026, 18:28 | 36,508 | -233 |
| 29 Aug 2026, 21:24 | 36,741 | -344 |
| 28 Aug 2026, 19:42 | 37,085 | -312 |
| 27 Aug 2026, 16:08 | 37,397 | -163 |
| 26 Aug 2026, 14:44 | 37,560 | -161 |
| 25 Aug 2026, 17:44 | 37,721 | -323 |
| 24 Aug 2026, 18:15 | 38,044 | -425 |
| 23 Aug 2026, 05:12 | 38,469 | -377 |
| 21 Aug 2026, 14:47 | 38,846 | -204 |
| 20 Aug 2026, 10:17 | 39,050 | -239 |
| 19 Aug 2026, 09:05 | 39,289 | -253 |
| 18 Aug 2026, 11:03 | 39,542 | -326 |
| 17 Aug 2026, 11:16 | 39,868 | -175 |
| 16 Aug 2026, 18:45 | 40,043 | first reading |
Engagement
230 posts held, back to 16 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 30 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.54%
- avg views ÷ 36,398 subscribers
- Avg views / post
- 560
- 230 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 230
- of 230 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.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 230 (16 August 2026 – 31 August 2026) |
| Views total | 128,777 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Aug 2026, 17:37 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
- 23m 46s
- Average length
- 55s
Measured directly from 26 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.
Recent posts
#网友爆料 此人叫王者,原来在亚太和KK世纪专业做通道。四大园区打散之后,他又去了柬埔寨发展 因为以前合作过,看在曾经的交情上,我选择相信他,继续走他的通道。 没想到两万U都坑 钱到账后,他就说水房钱包被盗,直接跟我玩起了无间道 后来我问了身边几个朋友,才知道你现在已经混成这样,专门坑身边认识的熟人。 经常吸DU、赌博,现在连两万U都要坑,真的是活不起了吗?你这种行业败类,早点回去坐牢吧 现在奉劝你早点把事情解决,不然就躲好一点。东南亚就这么大,大家迟早会碰到 好好做个人吧。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc77777777
🇹🇭#泰国清莱严查偷渡 中国男子非法入境后欲转赴缅甸,接运司机保释期内再犯被捕 8月29日,泰国清莱府清盛县警方设卡检查时,一辆白色皮卡突然掉头逃跑,司机途中将一名中国男子丢下后继续逃窜,最终两人均被警方抓获。 被捕中国男子张某,25岁,警方查明其没有合法入境泰国记录,张某供称此前曾在缅甸工作约一年,后从老挝乘船渡过湄公河,经自然通道偷渡进入泰国。 张某原计划借道泰国前往缅甸,而负责接送他的53岁泰国司机普塔查特则承认,受一名老挝男子委托,以2000泰铢将张某从湄公河附近一处仓库接走。 更令人关注的是,该司机此前就曾因接送4名非法入境中国人被捕,此次落网时仍处于同类案件保释期内,却再次接下运送非法入境人员的生意。 目前,张某因涉嫌非法入境及非法滞留接受调查,司机则涉嫌协助、藏匿非法入境人员并帮助其逃避警方检查,两人已被移送清盛警察局处理。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me…
#网友曝光 #木姐 傻逼公司的组长,之前名叫 #天耀,现在叫福耀,跟她朋友一起欠了半年之久的号钱几千块钱。 他自己这里欠几百块钱都不结算,还说什么这么点一直等到,等了半年还不给。 他还介绍他朋友在我这里上号,1000多的号钱也是一样欠半年之久,问她他还不管,直接拉黑。 几百块钱几千块钱就在跑路,活不起了吗现在的组长,一天还喜欢装逼吹牛逼多少多少,几百块钱就在跑也是死全家的种了。 废物公司,没皮没脸的这个公司,后面我会把他们公司员工还有财务一并曝光。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc77777777
#金边一女子纸飞机上约炮,失身又丢财! 金边一名年轻女子通过Telegram结识一名男子,并同意在客栈首次线下见面。双方饮用啤酒期间,女子随后醉酒并失去意识。 据指控,该男子乘机行不轨之举,并盗走其一部iPhone 17 Pro Max及部分首饰(总价值近2,000美元)后逃之夭夭。 此案引发社会关注,警方再次提醒大家,切勿轻信社交媒体上的陌生人,网恋线下见面须提高警惕。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc77777777
#国内新闻 留学生半个月两次回上海筹58万元,父母报警揭穿“公检法”骗局 8月30日,上海市公安局长宁分局披露一起冒充“公检法”诈骗案件。一名在日本留学的学生半个月内两次突然回到上海,并不断催促父母筹集58万元存入指定银行卡,却始终不愿说明原因。家人察觉异常后,立即向警方求助。 8月17日晚,长宁警方民警赶到其家中时,发现该学生情绪十分紧张,拒绝配合沟通,一度跑出家门,并对家人表示:“你们帮不了我。” 民警将其劝回后,单独与他沟通两个多小时。该学生随后讲述了事情经过:他在日本期间接到陌生电话,对方自称国外政府工作人员,称其“间接卷入一起嫖娼案件”。随后,又有人冒充国内民警、检察官与其联系,以涉嫌犯罪为由持续恐吓,并声称可以帮助其“担保”,但要求他先将58万元存入指定银行卡,作为“保证金”。 在连续恐吓下,该学生逐渐相信了对方,并专程回国筹钱。 民警当场向其揭穿骗局,指出这是典型的冒充“公检法”诈骗。诈骗分子通常先以“…
#网友爆料 妙瓦底 20 号码头鼎盛园区 千金工作室 项目 TGG 国内盘资金盘,相关人员:盘哥、朱富、钱百万,代理韩东周轩,管理阿阳。 爆料人表示该公司口碑极差,拖欠员工工资,管理层处理问题只会甩锅给狗推。提醒各位谨防上当受骗,已经进入该项目的人员尽快撤离,对方即将开展收割。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc77777777
#网友投稿 缅甸🇲🇲妙瓦底-交克村-青松园区及周边园区!!! 这几天收到很多朋友被卖到缅甸园区的求助信息,在通知其家属在当地立案且联系大使馆的情况下,我也积极配合其家属进行救助。 总结所有同胞被卖大致相同的历程:被现实或网络朋友以高收入工作、高利润项目等为由,骗去泰国曼谷-达府,甚至通过绑架当地中国人等方式全部强压至缅甸进行贩卖🇲🇲。 主要接收园区有: 1. 青松园区 (16°20′08″N,98°38′29″E) 2. 泰昌园区 (16°28′16.7″N,98°38′50.7″E) 3. 新普鲁园区 (16°26′50.1″N,98°36′46.1″E) 4. 三佛塔周边园区(15°23′28.2″N,98°18′05.6″E) 除列举这些园区外,周边均有附属许多小园区,强压中国人在此进行诈骗工作,近20个小时超时长高压工作、殴打、电击、水刑等等,而且时常还有人被致死,更不要幻想赔付离职,即使赔付也不会放人离开,…
#915出入境新规还没到时间,多地已被曝提前收紧审核 目前距离出入境新规正式实施还有约半个月 但目前根据群友反馈,现在出入境手续繁琐了很多 有出境东南亚地区记录的被要求详细说明出境目的、工作单位、行程安排及境外联系人, 前往东南亚等风险较高地区的,还可能需要补充邀请函、劳动合同、返程机票等证明材料。 补充:狗推还是继续当牛马吧,回去就吃不上饭了 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc77777777
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Showing the 12 most recent of 230 posts we hold for @D_N_Y_1. 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 — 1,204,719 of 1,629,452 entries 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.
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 31 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚茶水间|新闻|曝料|悬赏|吃瓜🍉” (@D_N_Y_1), 36,398 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/D_N_Y_1.
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.