#泰国新闻 湄公河畔截获大宗毒品 老挝男子被捕 10月9日,泰国安全部门在黎府巴冲县湄公河沿岸巡逻时,抓获一名26岁老挝籍男子,当场缴获大量毒品及武器。 执法人员在巴冲县怀披猜镇班巴念村附近河岸设伏,截获该嫌疑人。经查,其携带毒品包括602000粒冰毒片剂、冰毒及氯胺酮,另有99件含氯胺酮电子烟。同时缴获9毫米改装枪1支、9毫米子弹2发、.38子弹1发,以及手机2部。案件已移交巴冲县警局依法处理。
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Channel
@WY155
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
95,202subscribers
-31,912 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001912619954 |
|---|---|
| Type | Channel |
| Username | @WY155 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/WY155 |
Memes & entertainment — 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 9 August 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Oct 2026, 17:36 | 95,202 | +13,899 |
| 5 Oct 2026, 10:56 | 81,303 | -301 |
| 29 Sept 2026, 12:39 | 81,604 | -7,864 |
| 18 Sept 2026, 01:58 | 89,468 | -1,732 |
| 16 Sept 2026, 00:19 | 91,200 | -8,175 |
| 14 Sept 2026, 06:55 | 99,375 | -1,675 |
| 12 Sept 2026, 18:18 | 101,050 | -1,814 |
| 10 Sept 2026, 15:56 | 102,864 | -2,622 |
| 7 Sept 2026, 12:20 | 105,486 | -3,008 |
| 4 Sept 2026, 13:01 | 108,494 | -1,377 |
| 2 Sept 2026, 23:37 | 109,871 | -954 |
| 1 Sept 2026, 18:04 | 110,825 | -1,140 |
| 31 Aug 2026, 21:16 | 111,965 | -1,036 |
| 30 Aug 2026, 18:46 | 113,001 | -834 |
| 29 Aug 2026, 18:42 | 113,835 | -1,057 |
| 28 Aug 2026, 21:18 | 114,892 | -906 |
| 27 Aug 2026, 19:26 | 115,798 | -275 |
| 26 Aug 2026, 17:43 | 116,073 | -616 |
| 25 Aug 2026, 16:16 | 116,689 | -709 |
| 24 Aug 2026, 15:39 | 117,398 | first reading |
517 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 155 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. It is computed over the 152 of 167 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 517 (7 August 2026 – 9 October 2026) |
| Views total | 1,016,271 |
| Reactions total | 1,492 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 08:41 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 40 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.
6,918 reactions across 455 posts, in 69 distinct kinds. The most used accounts for 11.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 794 | 11.5% | |
| 🎉 | 775 | 11.2% | |
| 🥰 | 763 | 11.0% | |
| 🔥 | 755 | 10.9% | |
| 😍 | 742 | 10.7% | |
| 👍 | 739 | 10.7% | |
| ❤ | 726 | 10.5% | |
| ❤🔥 | 726 | 10.5% | |
| 🤩 | 715 | 10.3% | |
| ⚡ | 16 | 0.231% | |
| 👏 | 14 | 0.202% | |
| 😁 | 9 | 0.13% | |
| 🏆 | 6 | 0.087% | |
| 👀 | 6 | 0.087% | |
| 👻 | 5 | 0.072% | |
| 🖕 | 5 | 0.072% | |
| 😘 | 5 | 0.072% | |
| 🤡 | 5 | 0.072% | |
| 🤨 | 5 | 0.072% | |
| 🤬 | 5 | 0.072% | |
| 49 further kinds | 102 | 1.47% |
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 455 of the 517 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 6,918 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 517 most recent posts we hold, published 7 August 2026 to 9 October 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 湄公河畔截获大宗毒品 老挝男子被捕 10月9日,泰国安全部门在黎府巴冲县湄公河沿岸巡逻时,抓获一名26岁老挝籍男子,当场缴获大量毒品及武器。 执法人员在巴冲县怀披猜镇班巴念村附近河岸设伏,截获该嫌疑人。经查,其携带毒品包括602000粒冰毒片剂、冰毒及氯胺酮,另有99件含氯胺酮电子烟。同时缴获9毫米改装枪1支、9毫米子弹2发、.38子弹1发,以及手机2部。案件已移交巴冲县警局依法处理。
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#菲律宾新闻 参议院续审莎拉弹劾案 菲律宾参议院今日上午十时恢复副总统莎拉·杜特尔特的弹劾审判,庭审在参议院会场进行,由参议长主持,控辩双方继续出庭陈述。 此次续审为弹劾程序的又一阶段,参议院此前已多次开庭听取双方主张。案件具体指控内容、证人安排及后续投票时间表尚未公布,判决结果将取决于参议员表决。
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#泰国新闻 警方侦破儿童色情视频案 拘捕两名涉案男子 泰国警方10月9日在乌隆他尼府展开搜查行动,逮捕两名涉嫌制作并传播儿童色情视频的男子。两嫌犯分别为25岁和28岁,涉嫌运营隐秘VIP群组,向会员收取费用后出售一名17岁少女的不雅视频。警方在嫌犯住所缴获存有相关视频的手机作为证据。 调查显示,警方卧底该隐秘群组长达两年,收集证据后向法院申请搜查令。该群组通过聊天软件收取每人999泰铢会员费,并利用社交平台进行宣传。其中一名嫌犯承认自己是视频中出现的男子。警方已对其提出多项指控,包括制作、持有及传播儿童色情内容,并正调查资金流向,不排除追加人口贩卖罪名。两名嫌犯已被移送检方处理。
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#菲律宾新闻 副总统萨拉税务记录曝光 收入与资产不符 菲律宾副总统萨拉·杜特尔特及其丈夫卡皮奥2007年至2025年税后总收入为8534万比索。国税局官员10月8日在弹劾法庭作证时确认这一数据,并证实该局已对其中一人发出税务审计授权书。 国税局官员马拉计斯称,萨拉2025年申报净资产为9866万比索,与夫妻二人合计收入存在差额。辩方以证人无个人认知为由提出异议,主审官埃斯库德罗未删除相关陈述但提醒检方不得替证人作证。法庭允许展示国税局汇总数据,但禁止公开源文件。
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Showing the 12 most recent of 517 posts we hold for @WY155. 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.
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.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚日常黑料大曝光” (@WY155), 95,202 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/WY155.
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.