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Channel

泰国新闻大事件

@BGM9897

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

54,837subscribers

-36,541 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-1001570881659
TypeChannel
Username@BGM9897
Description本频道只负责相关发布信息,真假自行甄别 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #斯里兰卡 #新闻资讯 #博彩 🇲🇲缅甸新闻亚太大事件 @TTC9988 🇰🇭柬埔寨大事件 @JPZ963 🇹🇭泰国新闻大事件 @BGM9897 🇦🇪迪拜大事件曝光 @PPA633 🌸 反差|绿帽|乱伦|萝莉 @bgxs1450s ☎️广告投放 : @PPW881
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/BGM9897

Topic

Other / unclassifiable — 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 53% 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 the other topics.

Growth

51,09791,37871,237.57 August 2026 — 91,378 subscribers7 August 2026 — 91,378 subscribers8 August 2026 — 90,467 subscribers9 August 2026 — 89,898 subscribers10 August 2026 — 89,138 subscribers11 August 2026 — 88,651 subscribers12 August 2026 — 88,334 subscribers13 August 2026 — 87,786 subscribers15 August 2026 — 87,149 subscribers16 August 2026 — 86,413 subscribers17 August 2026 — 85,895 subscribers18 August 2026 — 85,390 subscribers19 August 2026 — 84,950 subscribers20 August 2026 — 82,649 subscribers22 August 2026 — 81,770 subscribers23 August 2026 — 80,978 subscribers25 August 2026 — 80,364 subscribers26 August 2026 — 79,585 subscribers27 August 2026 — 79,249 subscribers28 August 2026 — 78,732 subscribers29 August 2026 — 77,914 subscribers30 August 2026 — 77,595 subscribers30 August 2026 — 77,001 subscribers31 August 2026 — 75,462 subscribers1 September 2026 — 74,135 subscribers2 September 2026 — 74,648 subscribers4 September 2026 — 73,240 subscribers6 September 2026 — 75,038 subscribers10 September 2026 — 76,524 subscribers12 September 2026 — 74,359 subscribers13 September 2026 — 72,676 subscribers15 September 2026 — 70,088 subscribers17 September 2026 — 73,313 subscribers28 September 2026 — 70,099 subscribers5 October 2026 — 63,824 subscribers9 October 2026 — 59,917 subscribers13 October 2026 — 57,773 subscribers14 October 2026 — 57,107 subscribers16 October 2026 — 56,287 subscribers16 October 2026 — 56,023 subscribers17 October 2026 — 55,419 subscribers18 October 2026 — 54,081 subscribers19 October 2026 — 53,933 subscribers21 October 2026 — 52,370 subscribers22 October 2026 — 51,403 subscribers23 October 2026 — 51,097 subscribers24 October 2026 — 55,046 subscribers25 October 2026 — 54,706 subscribers26 October 2026 — 54,217 subscribers27 October 2026 — 53,818 subscribers28 October 2026 — 53,245 subscribers29 October 2026 — 52,717 subscribers30 October 2026 — 55,912 subscribers31 October 2026 — 55,358 subscribers1 November 2026 — 56,086 subscribers2 November 2026 — 55,103 subscribers3 November 2026 — 55,504 subscribers4 November 2026 — 55,207 subscribers5 November 2026 — 54,837 subscribers54,8377 August 20265 November 2026
59 measurements spanning 90 days, net -36,541. 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 45,055–97,420 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
5 Nov 2026, 14:3954,837-370
4 Nov 2026, 16:2155,207-297
3 Nov 2026, 19:5155,504+401
2 Nov 2026, 17:0055,103-983
1 Nov 2026, 18:2656,086+728
31 Oct 2026, 17:3155,358-554
30 Oct 2026, 20:1955,912+3,195
29 Oct 2026, 18:2952,717-528
28 Oct 2026, 17:0853,245-573
27 Oct 2026, 13:4753,818-399
26 Oct 2026, 10:3854,217-489
25 Oct 2026, 10:1554,706-340
24 Oct 2026, 07:4655,046+3,949
23 Oct 2026, 06:5851,097-306
22 Oct 2026, 10:1951,403-967
21 Oct 2026, 03:1952,370-1,563
19 Oct 2026, 22:0853,933-148
18 Oct 2026, 23:4454,081-1,338
17 Oct 2026, 20:2055,419-604
16 Oct 2026, 23:2956,023first reading

Engagement

1,317 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 200 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.69%
avg views ÷ 54,837 subscribers
Avg views / post
3,120
496 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
496
of 1,317 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held1,317 (7 August 2026 – 5 November 2026)
Views total1,548,227
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 03:58 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
≈25,400
Videos
≈2,140
Links
≈13,500

Lifetime counters from Telegram’s own channel header, read 6 November 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 27m
Average length
44s

Measured directly from 118 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

13 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 30.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤430.8%
👏323.1%
⚡215.4%
🔥215.4%
👍17.69%
😁17.69%

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 15 of the 1,000 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 27 August 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 0 of 496 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 15:31 UTC≈5,200 viewsread 6 November 2026
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#泰国新闻 【33岁女子神秘失踪 平河边发现摩托车】 帕府女子玉怡 清迈失踪 摩托车在平河边被发现 钥匙未拔 家人急寻 2026年11月3日上午,泰国帕府33岁女子玉怡在清迈府Mueang区宿舍失踪,房间仅留手机、写有密码的纸条和钱包。11月4日晚,有人在班登公墓附近平河边发现其雅马哈摩托车,钥匙仍插在点火器上,现场鞋子被拿走。警方和救援人员整夜搜寻无果,家属呼吁知情者提供线索。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 14:49 UTC≈3,830 viewsread 6 November 2026
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#泰国新闻 【前住持性侵侄女案 披集法院判监180年】 11月5日,披集省法院审理前著名僧人“Ooi Bang Klan”性侵侄女案。被告在受害者9岁至14岁期间持续作案超过6年,利用接送上学机会实施性侵,并录制视频照片威胁受害者。法院认定罪名成立,判处360年监禁,因认罪减至180年 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 14:19 UTC8 viewsread 6 November 2026
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【素可泰府知名公立医院人员涉毒被捕 女护士助理尿检紫色被查获】 2026年11月5日,司法部国家禁毒委员会(ONCB)根据政府立场及ONCB秘书长苏里亚·辛哈卡蒙警监的指示,推进为期6个月的禁毒战争行动计划,重点打击涉毒公职人员。最新消息,整合力量开展“第29次切除毒瘤行动”,深入素可泰府调查并逮捕医护人员及毒贩网络。此次行动共捣毁7名涉案人员,包括3名医院人员和4名外部网络成员,共缴获冰毒1359粒。经调查,该男子承认吸毒并自愿接受戒毒治疗,同时提供线索,揭发了同医院内的另一名大型毒品贩运网络成员。警方顺藤摸瓜抓获尿检呈紫色的女护士助理,缴获毒品1000多粒。医院院长拟重罚将其开除公职。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 13:21 UTC≈2,450 viewsread 6 November 2026
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#泰国新闻 【11垃圾袋弃路边 打开竟是1824支电子烟】 11月5日,北柳府西玛哈坡县普鲁瓦伊村路边被丢弃11个黑色垃圾袋,村民通知警方。警方到场打开所有袋子,发现大批电子烟,共1824支,价值近100万泰铢。当局认为这些电子烟属非法走私,可能因运输途中遇到检查站,或货主暂时放置等待商贩领取而弃置路边。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 13:04 UTC≈1,890 viewsread 6 November 2026
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#泰国新闻 【为救落水女孩跳入瀑布 20岁男遗体寻获】 11月5日,那空那育府沙里卡分区瀑布一名20岁清莱男子金汉为救落水女孩跳入水中后失踪。11月2日上午11时,女孩们跌入急流呼救,金汉与朋友下水帮忙,同行者上岸后不见其踪影。多支救援队自中午搜寻至凌晨,11月4日上午在班塔苏克弯处发现遗体,死因待确认。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 12:32 UTC6 viewsread 6 November 2026
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【曼谷警方在邦卡披区酒店逮捕大学助理教授 涉聚众吸毒】 2026年11月4日,据记者报道,曼谷反毒局局长普林·梅卡南指派执法处处长阿迪雷·昂拉姆与华马克警局侦查部门警员联合行动,启动了“第30次切除毒瘤行动”。逮捕了一名在曼谷某大学工作的助理教授,并缴获了约2.81克冰毒。指控其“非法持有第一类毒品(甲基苯丙胺或冰毒)”和“非法吸食第一类毒品(甲基苯丙胺)”。案件发生于曼谷邦卡披区的一家酒店。曼谷禁毒局因此与华马克警局的侦查警员一同前往该酒店进行身份核实和行为调查。在酒店一楼发现一名外貌特征与通报相符的男子,其举止可疑,于是工作人员上前表明身份。该男子承认刚订购了2克冰毒,警方随后将其控制并依法处理。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 12:31 UTC4 viewsread 6 November 2026
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【巴吞他尼府“善行组织基金会”仓库被曝大量捐赠物资露天堆放】 2026年11月5日,据记者实地调查,位于巴吞他尼府农色县的“善行组织基金会”仓库内,发现大量捐赠物资被随意丢弃,堆放在露天处任凭日晒雨淋,损失惨重。从首个检查点(位于巴吞他尼府农色县汶卡三区第6村)的实地调查来看,该地位于朱拉金达拉寺旁的巷子里,是一条深入约500米的碎石路,土地位于右侧。内部有一个大型水池、一个大型仓库、多顶帐篷,以及堆放在地上的物品。此外,在10莱的土地上还有2栋预制房屋和1栋在建房屋,另外10莱土地则为空地。第二处位于巴吞他尼府农色县汶卡讪区穆7村9号运河沿线公路,占地4莱。正面有一道约4米高的黑色围墙,内部发现一座用于存放物品的单层仓库、员工宿舍楼、3顶大型白色帐篷以及一座高塔。而该区域内一片寂静,无人居住。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 12:26 UTC≈2,530 viewsread 6 November 2026
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泰国新闻 泰国国际航空发布声明,11 月 4 日 8 时 08 分起飞、由上海飞往曼谷的 TG663 航班,飞行途中机组发现驾驶舱左侧挡风玻璃出现裂痕。机长基于安全考量,依照程序返航,航班平安降落上海浦东机场,事件没有人员受伤。 泰航已为受影响旅客与机组人员安排住宿,协助旅客改乘其他航班出行,同时调整 11 月 5 日 TG662、TG663 的执飞机型,改用更大机型承接客流。泰航强调安全优先,就本次航班延误向旅客致歉。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 12:26 UTC≈1,750 viewsread 6 November 2026
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#泰国新闻 【泰国推"泰国助泰国Plus"补贴 帮民众扛生活成本】🛒 11月5日,泰国政府推出加强版"泰国助泰国Plus"补贴计划,聚焦扶助基层、缓解生活成本与能源危机压力,与民共渡难关 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 12:18 UTC≈1,110 viewsread 6 November 2026
Forwarded from @TTC9988Video

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5 Nov 2026, 09:21 UTC≈5,340 viewsread 6 November 2026
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#泰国新闻 泰南集会车队北上曼谷 要求降油价 11月5日,泰国南部洛坤府宽隆路口,抗议团体“人民保卫国土革命联合阵线”核心人物、甲米府村长马诺率领数百辆汽车集结,准备前往曼谷,拟于11月8日在总理府前举行抗议,要求政府将柴油价格每升下调10泰铢并解决毒品问题。 该团体计划当晚在素叻他尼府休整,6日继续出发,7日晚在巴蜀府过夜,8日抵达曼谷。马诺称,目标是组织1000辆车,目前已有超600辆抵达集结点。他还指称过往选举存在每票500至1000泰铢的买票行为,批评政客以金钱换取选票后变相“收回成本”。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

5 Nov 2026, 08:07 UTC≈4,760 viewsread 6 November 2026
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#泰国新闻 普吉林业部门复查卡马拉山赛道射击场 核实侵占面积后拟追加报案 2026年11月4日,普吉林业中心联合卡图行政及法务人员,进入卡马拉山国家森林保护区,对区内越野赛道与射击场开展现场复查,场地存在明显开挖整地痕迹。工作人员通过测绘坐标比对保护区边界,待核实侵占林地面积后,评估是否追加报案。林业部门强调,ภ.บ.ท.5仅为缴税凭证,不能当作林地开发许可。 涉事施工人员艾师傅已自首,涉案者含外籍人士与泰国挖机司机,雇主仍在追查。卡图市政府此前已起诉15人并叫停赛道工程,林业部门指出雇主和施工方均需承担法律责任。森林保护区禁止私自开垦建设,相关部门持续取证,依法追究毁林占地各方责任。 ⭐️⭐️ 点击观看老湿机开车视频 ☎️免费投稿广告商务合作:@PPW881

Showing the 12 most recent of 1,317 posts we hold for @BGM9897. 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.

Posts recorded as deleted after publishing

We recorded 15 posts on @BGM9897 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
18 October 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
4

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“泰国新闻大事件” (@BGM9897), 54,837 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/BGM9897.

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.