Channel
@taiguo333
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
18,015subscribers
-184 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002357472611 |
|---|---|
| Type | Channel |
| Username | @taiguo333 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/taiguo333 |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 42% 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.
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.
5.3 average views per post against 18,015 subscribers — an engagement rate of 0.029%. Across the 1,871 registered channels in the same cohort — 10,003–31,611 subscribers, posting mainly in Chinese — the middle half sit between 1.94% and 11.5%, with a median of 4.82%.
| Window | 30 days (13 July 2026 – 12 August 2026) |
|---|---|
| Posts measured | 66 of 66 published in the window (66 exact, 0 rounded by Telegram) |
| Views totalled | 349 |
| Mature posts only | 0.037% over 12 posts read at least 24h after publication |
| Subscribers | 18,015 measured 12 August 2026 |
| Cohort | b10000:zho · 1,871 channels · p10 0.566% · p25 1.94% · p50 4.82% · p75 11.5% · p90 24.9% |
| Position in cohort | 0.749th percentile · 1/167 the cohort median |
| Uncertainty | ±0.16% of the figure, from Telegram’s rounding |
| Post language | Chinese · 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 12 August 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 12:04 | 18,015 | -44 |
| 11 Aug 2026, 11:04 | 18,059 | -14 |
| 10 Aug 2026, 10:50 | 18,073 | -64 |
| 9 Aug 2026, 12:35 | 18,137 | -42 |
| 8 Aug 2026, 12:36 | 18,179 | -20 |
| 7 Aug 2026, 19:00 | 18,199 | no change |
| 7 Aug 2026, 18:55 | 18,199 | first reading |
66 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 16 pagesof 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. It is computed over the 1 of 66 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 66 (7 August 2026 – 12 August 2026) |
| Views total | 349 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 10:51 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.
Measured directly from 11 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 66 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 66 most recent posts we hold, published 7 August 2026 to 12 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.
#泰国新闻：8月12日，泰国总理兼内政部长阿努廷就全国枪支管控再次发声，对所有从政人员划出明确红线。 他强调，政客作为公众代表需做好表率，杜绝公共场合携枪，该禁令面向全社会而非单一政党。目前泰国所有枪支随身携带许可已全部到期，任何人都无合法在外携带枪械的资格。 针对部分泰自豪党议员的私人枪支收藏，阿努廷解释，依规完成财产申报的合法收藏并无问题，但持有与外出携带性质完全不同。他警告，在职官员、在野政客及准公职人员若触碰涉枪违法，除承担法律处罚外，还会因违背政治伦理影响参选或任职资格，严重者将断送政治生涯。 阿努廷表示，政客需树立正向标杆，新版枪支管理法案落地前，从严管控的临时举措会持续执行，全力遏制涉枪暴力案件频发。
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#新闻快报：8月12日，越南与澳大利亚签署为期五年的数字经济合作谅解备忘录，双方将在电商发展、数字平台搭建、数字人才培育及网络犯罪防范等领域深化合作。 合作聚焦数字贸易、基建投资、数字技能三大板块：对接数字经济法规体系，交流前沿技术经验；在跨境数据流通、个人信息保护、线上消费安全方面互通政策；在农林、医疗、制造、文旅等行业打造数字化平台，共建海底光缆、数据中心等基础设施，发力人工智能、半导体与网络安全。 此外，双方还将联合培养人才，缩小城乡数字差距，共同规避网络诈骗乱象，推动数字经济协同发展。
#马来西亚新闻：8月12日，马来西亚新山20岁青年周敬恒沉迷网络赌博，四度向大耳窿借钱，父母周顺成夫妇曾帮其偿还4万令吉债务，不料他再次借贷，仅借900令吉却被追讨1万8000令吉，导致父母经营的素食馆遭泼红漆。 更令人痛心的是，他向父亲呛声“我就是要玩死你”，还偷走兄长金饰变卖还债。周顺成夫妇今日召开记者会，恳请大耳窿不要骚扰无辜家人，仅针对欠债者追讨。 他们明确表示，此次不再帮儿子还债，希望他能正视自身问题，吸取教训，停止因赌博拖累家人的行为。这一事件也引发对青少年网络赌博危害及家庭责任的反思，呼吁社会关注此类问题，避免类似悲剧重演。
#泰国事件：泰国差宁府一家医院内，僧侣包中疑似枪支物品引起人们恐慌并及时报案。随后警方调查确认，该物品非真枪，是从TikTok购买的枪型手机壳，虚惊一场。
#菲律宾经济二季度增速跌至五年低点，2026年第二季度GDP同比仅增长2.3%，创2021年以来最低，主因建筑业低迷与内需不振拖累。 为扭转颓势，政府敲定2027财年举债3.3万亿比索（约691亿新元），较本年度修订额度上浮20%。新增债务以国内发债为主，占明年7.2万亿比索总预算的46%，其中近半约1.6万亿用于到期债务还本付息。 截至今年6月末，全国未偿债务达19.07万亿比索，债务占GDP比重升至66%。小马科斯总统称，在地缘冲突、通胀高企、能源价格波动的外部环境下，将靠举债推进长期结构性改革，严守财政纪律打造韧性增长模式。 但市场担忧持续举债会进一步推高债务风险，后续偿债压力将持续考验菲律宾财政可持续性。
#泰国新闻：8月12日，泰国四色菊府南克良县接到民众举报，当地两所寺庙存在僧人涉毒情况。 县长随即带队联合安保人员、志愿防卫队展开突击排查。首座寺庙四名僧人接受尿检，一名58岁僧人结果呈阳性，其住处搜出两粒冰毒，该僧人坦白定期吸食毒品。 另一座寺庙十名僧人检测后，又有两人尿检阳性。经查，这三名涉毒僧人早已被褫夺僧籍，却私自复穿僧袍，他们称未曾获得住持正式剃度，仅自行在佛前忏悔。 目前相关部门正继续跟进处置此事，以维护宗教场所的清誉与秩序。
#泰国新闻：8月11日上午10时，泰国清莱府湄赛警察局联合泰纳卡基金会、碧雅蓬学校管理层及教师团队、当地救援队、湄赛医院等多单位，在碧雅蓬学校启动“我必须生存”项目，并开展校园突发事件应急演练。 此次演练聚焦校园安全痛点，模拟有人在校园内情绪失控实施暴力的紧急场景。警务人员现场指导师生遵循“逃跑、躲藏、反抗”的应急原则进行实操训练：发现危险时迅速向安全区域撤离；无法逃跑则寻找隐蔽空间锁闭门窗、切断光源并保持安静；若遭遇直接威胁则利用身边物品合理反抗以保护自身。 各参与单位协同配合，确保演练流程贴近真实情况。警方表示，活动旨在提升师生的安全意识与应急处置能力，帮助他们在遭遇校园枪击等突发事件时，能迅速作出正确判断并最大限度保障生命安全。 该项目得到学校师生及家长的积极响应，后续将持续推进校园安全培训，进一步筑牢校园安全防护网。
#中国快报：公安部网安局近日公布10起打击侵犯公民个人信息犯罪典型案例，涉及辽宁、甘肃、四川等多地，揭露了黑产链条与电诈、涉赌等犯罪的深度关联。 辽宁沈阳团伙以“高薪兼职注册营业执照”为诱饵，盗用3000余条身份信息注册电商账号和执照，转卖至涉赌、电诈团伙用于非法支付结算，涉案20余万元，27人被采取刑事强制措施。甘肃临夏团伙则以“闲置账号变现”为名，收购微信、抖音等实名账号转卖境外诈骗团伙，非法获取2万余条信息，涉案130余万元，6人被移送起诉。 其他案例中，四川内江团伙解密电商订单信息200余万条，涉案800万元；陕西咸阳黑产链覆盖装修公司、物业等环节，非法获取600万条信息；上海团伙与旅馆合作获取住客信息操控网络评价，涉案1100万元。 这些案件显示个人信息黑产已形成完整链条，警方的集中打击有效震慑了此类犯罪，为公民信息安全筑起防线。
#柬埔寨新闻：8月11日，柬埔寨2025-2026学年高考顺利结束。 金边皇家宪兵部队在为期数日的考试期间，持续出动力量，于全市各考场及周边区域执行安全保卫任务，确保考试秩序井然。此次行动中，宪兵与警方及相关当局密切协作，重点防范和应对各类突发事件，为考生、家长及考务人员营造了安全有序的考试环境。 金边皇家宪兵表示，任务圆满完成体现了政府对教育质量的高度重视，也展现了保障公平考试环境的坚定决心。未来，宪兵部队将继续致力于维护社会安全稳定，为各类重要活动提供坚实保障。
#国际新闻快讯：2026年8月11日，据伊朗学生通讯社报道，一艘沙特商船在曼德海峡遭袭，造成3名船员死亡、多人受伤，初步疑为也门武装力量导弹击中。 曼德海峡扼守红海南端，是连接红海与亚丁湾的战略咽喉，与苏伊士运河共同构成红海航道的南北关键节点。自7月下旬起，也门胡塞武装已对沙特发动系列海上袭击，8月5日其发言人称累计袭击8艘沙特油轮、拦截迫使29艘返航。 此次袭击后国际油价应声上涨，布伦特原油期货涨幅扩至2%报89.488美元/桶，WTI原油期货涨2%报83.769美元/桶。 红海航道作为全球能源运输重要通道，此次事件加剧了航道安全担忧，恐进一步扰动全球能源市场，引发各方对地区局势升级的密切关注。
#柬埔寨将于8月11日举办反诈骗会议，旨在强化国际协作，合力应对愈演愈烈的各类诈骗活动。 此次会议将聚集来自多个国家和地区的代表，共同研讨网络诈骗、金融诈骗等欺诈行为的应对策略与方法。重点聚焦信息共享、技术合作及法律协调，提升各国打击跨国诈骗的能力；同时深入交流公众防范意识提升、消费者权益保护等议题。 会议召开标志柬埔寨在反诈领域迈出关键一步，彰显国际社会携手应对全球性挑战的坚定决心，为构建更安全的数字与金融环境注入积极动力。
Showing the 12 most recent of 66 posts we hold for @taiguo333. 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“泰国新闻曝光台” (@taiguo333), 18,015 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/taiguo333.
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.