Channel
@taiguo_xinbibaoguang
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
64,860subscribers
-4,665 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001218185749 |
|---|---|
| Type | Channel |
| Username | @taiguo_xinbibaoguang |
| Description | 🔴投稿/曝光： @Xinbi_baoguang 东南亚新币曝光 @dongnanya_xinbibaoguang 菲律宾新币曝光 @feilvbin_xinbibaoguang 柬埔寨新币曝光 @jianpuzhai_xinbibaoguang 泰国新币曝光 @taiguo_xinbibaoguang 缅甸老挝新币曝光 @miandian_laowo_xinbibaoguang 迪拜新币曝光 @dubai_xinbibaoguang |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/taiguo_xinbibaoguang |
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 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 13:01 | 64,860 | -108 |
| 15 Sept 2026, 10:00 | 64,968 | -70 |
| 13 Sept 2026, 21:17 | 65,038 | -134 |
| 12 Sept 2026, 06:41 | 65,172 | -269 |
| 10 Sept 2026, 02:17 | 65,441 | -817 |
| 6 Sept 2026, 20:39 | 66,258 | -245 |
| 4 Sept 2026, 11:01 | 66,503 | -127 |
| 2 Sept 2026, 21:56 | 66,630 | -162 |
| 1 Sept 2026, 18:16 | 66,792 | -110 |
| 31 Aug 2026, 15:18 | 66,902 | -84 |
| 30 Aug 2026, 17:58 | 66,986 | -107 |
| 29 Aug 2026, 15:07 | 67,093 | -94 |
| 28 Aug 2026, 13:05 | 67,187 | -64 |
| 27 Aug 2026, 13:58 | 67,251 | -39 |
| 26 Aug 2026, 16:24 | 67,290 | -101 |
| 25 Aug 2026, 16:02 | 67,391 | -113 |
| 24 Aug 2026, 16:36 | 67,504 | -228 |
| 23 Aug 2026, 02:36 | 67,732 | -208 |
| 21 Aug 2026, 11:37 | 67,940 | -85 |
| 20 Aug 2026, 09:17 | 68,025 | first reading |
958 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 100 pages of Telegram’s post history, 20 posts per page.
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 25 September 2026 |
|---|---|
| Posts held | 958 (7 August 2026 – 25 September 2026) |
| Views total | 1,368,450 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Sept 2026, 14:45 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.
Lifetime counters from Telegram’s own channel header, read 25 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.
Measured directly from 95 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.
致东南亚还在一线奋斗的诸君： 人在东南亚，水深不语，人稳不言。有些事情看破了，不一定要说破；有些人看清了，也没必要当场翻脸。 君子藏器于身，待时而动。 人在低谷的时候，别急着证明自己；人在风口的时候，也别急着得意。真正能走得远的人，懂得什么时候低头做事，什么时候转身离开，什么时候该忍，什么时候必须止损。 出来混，见过太多起起落落。有人一夜暴富，也有人一夜归零；有人风光的时候身边全是兄弟，落魄以后才发现，真正能靠得住的没几个。 所以，水深不语，事大不声。 能看清局势，就别逞一时之勇；能提前发现危险，就别等事情发生以后才后悔。 庄子讲龙蛇之变。 成蛇之时，俯身草莽；成龙之时，遨游九霄。人在低谷，沉住气；人在高处，稳住心。输了不怨，赢了不飘。 人在东南亚，钱重要，机会重要，但更重要的是保住自己，守住底线，认清局势。 有所为，亦有所不为；能屈能伸，方能走得更远。 这条路很长，别因为一时的输赢，把自己的人生押进去。该…
#泰国资讯：曼谷阿索克突发持刀伤人 4人受伤 9月24日上午约10时，泰国曼谷素坤逸21路3巷（阿索克·蒙特里路）发生持刀伤人事件。 一名男子手持尖刀在街头追赶、刺伤路人，并掀翻商贩推车、砸碎商铺玻璃，造成4人受伤，其中1人头部被砍伤，伤口较深。 事发后，当局一度对以色列驻泰国大使馆门前路段实施交通管制。警方随后将涉事男子控制，并带往通罗警察局调查其身份及作案动机。
#泰国资讯：中国男子逾期滞留586天 携枪藏冰毒落网 9月24日，曼谷警方接民众举报，在拉抛地区一处酒店外抓获一名50岁中国籍男子。 警方从其包内搜出一把左轮手枪，并在行李箱内查获4.8克冰毒及吸毒工具。尿检结果显示其吸毒。 经查，该男子在泰国已逾期滞留586天。男子供述称，毒品购自一名华人朋友，枪支则是他人暂放。 警方已对其提出5项指控，并继续追查枪支、毒品来源及相关涉案人员。
#泰国资讯：民宅地下藏33.3万粒冰毒 女子被捕 武里南府库孟县禁毒小组循线突击一处民宅，在房屋地下挖出3个塑料桶，查获166捆、合计33.3万粒冰毒。 行动中，一名28岁女子普蓬当场落网，其男友与另一名同伙趁乱逃走。 被捕女子称不清楚地下藏有毒品，但承认自己有吸毒行为。 警方怀疑这批毒品原计划转运至城区分销，目前正在追查毒品源头、贩毒网络以及两名在逃嫌犯。
#泰国资讯：70岁老妇涉毒被捕 查获5粒疑似冰毒 9月23日，泰国苏艾戈洛县开展禁毒行动，抓获一名70岁老妇，当场查获5粒疑似冰毒药丸。 经查，该老妇涉嫌持有并吸食毒品，随后被警方逮捕并移交警局处理。 警方表示，虽然对高龄涉案人员感到痛心，但法律面前不分年龄，违法行为仍将依法查处。 办案单位还将继续追查毒品来源及相关贩毒网络。
#泰国资讯：大学生遭假客服假警察洗脑3天 父亲被骗80万泰铢 泰国呵叻府一名大四学生落入洗钱骗局，骗子先伪装成电信客服，随后冒充办案警察恐吓学生，并连续3天通过视频通话对其进行控制。 期间，骗子哄骗学生伪造交换生文件，谎称需要缴纳日本交换项目费用。学生父亲先后转账50万泰铢和20万泰铢，共计80万泰铢。 家长察觉异常后报警，警方赶到学生宿舍时，发现学生仍在与骗子进行视频通话。目前，涉案资金已被转入十多个账户，警方正进一步追查资金流向及背后的诈骗团伙。 警方同时提醒民众提高警惕，谨防此类冒充客服、公检法人员实施的诈骗。
#泰国资讯：曼谷丁登地下赌场遭突袭 53人落网 9月23日，泰国执法小组突击曼谷丁登区蓬潘巷一处地下赌场，现场经营骰宝、赛马机等赌博项目。 行动中共抓获53人，包括8名赌场经营者（其中2人为柬埔寨籍）及45名赌客。执法人员现场扣押现金、筹码、赌具及资金账本，查获赌资共98.5万泰铢。 涉案人员随后被移交警局处理，警方将进一步追查资金流向，并启动反洗钱调查。 多名议员到场跟进此次行动，泰国方面表示将持续打击地下赌博活动。
#泰国资讯：乡长儿子涉嫌贩毒 乌隆他尼农棚突袭4人被捕 泰国乌隆他尼府警方9月22日突袭一处农田棚屋，抓获4名涉嫌吸食及贩卖冰毒的人员，其中包括当地女乡长的23岁儿子乔纳南特，昵称“福乐”。 警方现场查获214粒冰毒、手机以及用于分装毒品的塑料袋等物品。行动于当天上午11时30分展开，由乌隆他尼府府治县农苏分警署警方联合“莲花”调查小组实施。 警方首先控制乔纳南特，并在其身上及随身物品中查获142粒冰毒、一只黑色斜挎包、透明自封袋及一部涉嫌用于联系毒品交易的手机。 另外3名被捕人员分别为23岁的布恩阿南特、26岁的瓦拉育以及25岁的帕瑞丽莎。其中，布恩阿南特被查获67粒冰毒，瓦拉育被查获5粒冰毒。 警方发现，4人当时正在农棚内聚集吸食冰毒，部分毒品据称从福乐处购买，既用于自己吸食，也涉嫌转手获利。4人尿液检测结果均呈阳性，随后被移送农苏分警署依法处理。
#泰国资讯：曼谷开展“安全曼谷”禁毒行动 3个月查获2350万粒毒品 9月25日，曼谷市长查察·西迪帕特率领相关部门开展“安全曼谷（Safe BKK）”禁毒行动，并公布为期3个月的阶段性成果。 今年7月至9月，曼谷警方、泰国缉毒机构等部门共侦办3644起毒品案件，其中包括1760起严重毒品犯罪及1884起吸毒、持有毒品案件。 行动期间共缴获： 2350万粒冰毒； 2336.17公斤晶体冰毒； 2756公斤氯胺酮； 1.05万余粒摇头丸； 313克海洛因及18克可卡因。 此外，警方还查扣涉毒资产超过2.53亿泰铢，并筛查出1245名高风险人员，其中887人被转介至相关机构接受治疗。 当天，约150名执法人员在曼谷吞武里区展开突袭检查，共搜查29处目标，查获少量冰毒及吸毒工具，发现的7名吸毒人员均同意接受戒毒治疗。 曼谷方面表示，后续将继续针对50个辖区的高风险社区展开排查，重点打击基层毒贩、追查毒品资金网络，同时将吸毒…
#泰国资讯：曼谷男子纵火持枪与警方对峙 最终开枪身亡 9月25日，曼谷邦普拉区一处住宅发生火灾，一名59岁男子疑似情绪失控，在屋内持枪并向外开枪，导致消防人员难以靠近灭火。 警方随后调派10余名特警包围住宅。男子发现警方进入后，在二楼持9毫米手枪开枪身亡。消防人员随后持续灭火，约1小时后控制火势。 警方进入现场后发现屋内存有大量枪支、弹药及爆炸物，已通知排爆人员（EOD）到场处理。目前案件仍在调查中。 据悉，死者是86岁退役少将萨曼的儿子。其父亲表示，涉事住宅此前由家人居住，但9月21日因法院执行程序被查封。其女儿此前将房屋以5000万泰铢进行抵押出售，最终引发法律纠纷。 死者平时饲养猫、狗及鳄鱼等20多只宠物。据其父亲称，儿子此前曾因无法进入被查封住宅照料宠物而感到不满。至于其突然纵火及持枪行为的具体原因，目前仍有待警方进一步调查。 对于现场发现的大量军用武器和爆炸物，死者父亲表示，这些武器并非自己所有，也不知道儿…
#泰国资讯：曼谷拉抛警署举行退休欢送会 向退休警员致敬 9月24日，泰国曼谷拉抛警署举行2026年度退休警员欢送暨致敬活动，主题为“退休，但荣誉与美好事迹永存”。 活动由拉抛警署负责人及警署官员共同出席，并邀请曼谷警察局相关委员会成员及社区代表参加。现场通过持剑仪式、合影及聚餐等环节，向即将退休的警员表达感谢，缅怀他们长期以来为维护社会治安、服务民众所付出的努力与奉献。 活动现场气氛温馨，退休警员与同僚共同回顾多年警务生涯，并留下纪念。
#泰国资讯：曼谷警方两案缴获519公斤冰毒 4人被捕 9月25日，泰国曼谷警方通报破获两起大型毒品案件，共缴获519公斤冰毒，逮捕4名嫌疑人。 第一起案件中，警方于9月23日在北榄府邦披县一处加油站拦截一辆10轮货车，从车厢内15袋大米中查获300公斤冰毒。46岁司机承认，毒品从曼谷拉明特拉一带运往那空是贪玛叻府，此前已参与运送两次。 第二起案件发生在曼谷拉差邦区，警方经过数日监视后突袭一处疑似藏毒地点，抓获3名男子，现场查获219公斤冰毒、一把.38口径手枪及12发子弹。嫌疑人供称，他们负责运送毒品，每次可获得约1000泰铢报酬。 曼谷警方表示，9月份至今已累计缴获约2000公斤冰毒，后续将继续扩大调查，追查背后的贩毒网络。
Showing the 12 most recent of 958 posts we hold for @taiguo_xinbibaoguang. 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.
Named by 6 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“泰国新币曝光|新闻大事件” (@taiguo_xinbibaoguang), 64,860 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/taiguo_xinbibaoguang.
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.