泰老联合破跨境电诈案 32 人被批捕 17 人落网 11 月 5 日,泰国网络安全警察分局(ACSC)通报:接老挝波乔省顿蓬县线索后跨境联查,破获一跨国诈骗团伙。 该团伙冒充电商客服→转接假警察,着仿警服、出示伪造公文恐吓转账。目前已对32 人发逮捕令、抓获17 人,深挖追缉其余人员中。 #泰老协作 #跨境电诈 #联合执法
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Channel
@xigang9918
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
76,442subscribers
+15,196 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001845515325 |
|---|---|
| Type | Channel |
| Username | @xigang9918 |
| Description | #西港 #柬埔寨 #金边 #木牌 #波贝 聚焦西港,关注柬埔寨及东南亚新闻资讯,大事小情。 投稿爆料/广告合作: @GT369 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/xigang9918 |
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 65% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 04:07 | 76,442 | -81 |
| 5 Nov 2026, 06:21 | 76,523 | -208 |
| 4 Nov 2026, 02:08 | 76,731 | -566 |
| 3 Nov 2026, 00:50 | 77,297 | -469 |
| 2 Nov 2026, 00:59 | 77,766 | -138 |
| 31 Oct 2026, 21:36 | 77,904 | -209 |
| 30 Oct 2026, 22:04 | 78,113 | -739 |
| 29 Oct 2026, 19:58 | 78,852 | -178 |
| 28 Oct 2026, 16:19 | 79,030 | -140 |
| 27 Oct 2026, 18:11 | 79,170 | -147 |
| 26 Oct 2026, 18:11 | 79,317 | -105 |
| 25 Oct 2026, 19:01 | 79,422 | -104 |
| 24 Oct 2026, 19:20 | 79,526 | -543 |
| 23 Oct 2026, 19:56 | 80,069 | -124 |
| 22 Oct 2026, 23:11 | 80,193 | -260 |
| 21 Oct 2026, 17:34 | 80,453 | -146 |
| 20 Oct 2026, 12:27 | 80,599 | -161 |
| 19 Oct 2026, 08:46 | 80,760 | +8,444 |
| 18 Oct 2026, 06:27 | 72,316 | +9,955 |
| 17 Oct 2026, 06:05 | 62,361 | first reading |
1,976 posts held, back to 13 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 167 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 109 of 686 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 1,976 (13 August 2026 – 6 November 2026) |
| Views total | 855,884 |
| Reactions total | 139 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 09:18 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 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.
Measured directly from 212 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.
147 reactions across 116 posts, in 9 distinct kinds. The most used accounts for 21.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 32 | 21.8% | |
| 👏 | 24 | 16.3% | |
| ❤ | 19 | 12.9% | |
| 😁 | 16 | 10.9% | |
| ⚡ | 14 | 9.52% | |
| 🔥 | 11 | 7.48% | |
| 🤩 | 11 | 7.48% | |
| 🥰 | 11 | 7.48% | |
| 🎉 | 9 | 6.12% |
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 117 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 147 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 22 September 2026 to 6 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.
Telegram’s own ‘edited’ marker: 1 of 686 posts held from the last 30 days (0.146%) 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).
泰老联合破跨境电诈案 32 人被批捕 17 人落网 11 月 5 日,泰国网络安全警察分局(ACSC)通报:接老挝波乔省顿蓬县线索后跨境联查,破获一跨国诈骗团伙。 该团伙冒充电商客服→转接假警察,着仿警服、出示伪造公文恐吓转账。目前已对32 人发逮捕令、抓获17 人,深挖追缉其余人员中。 #泰老协作 #跨境电诈 #联合执法
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涉迪拜三人命案 中国籍嫌犯偷渡湄公河被捕 携 5 公斤依托咪酯 10 月 6 日,遭阿联酋通缉的 29 岁中国籍男子万传新,乘长尾船从老挝偷渡湄公河入泰国廊开府时被截获,随身查获5 公斤依托咪酯,属泰国管控第二类精神药物。 其涉嫌参与今年 6 月迪拜三人绑架杀人案,逃亡多国后藏匿老挝,偷渡入泰避追查。泰国正协调移交阿联酋审理,案件续办。 #跨国追逃 #迪拜命案 #湄公河偷渡
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Showing the 12 most recent of 1,976 posts we hold for @xigang9918. 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“西港大事件(曝光)” (@xigang9918), 76,442 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/xigang9918.
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.