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Channel
西港大事件(曝光)
@xigang9918
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
67,385subscribers
+6,139 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| 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: @HFHl188 |
| 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 | 18 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xigang9918 |
Topic
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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:55 | 67,385 | -134 |
| 15 Sept 2026, 21:55 | 67,519 | -95 |
| 14 Sept 2026, 08:19 | 67,614 | -148 |
| 12 Sept 2026, 18:00 | 67,762 | -242 |
| 10 Sept 2026, 19:38 | 68,004 | -677 |
| 7 Sept 2026, 18:59 | 68,681 | -410 |
| 4 Sept 2026, 22:19 | 69,091 | -183 |
| 3 Sept 2026, 07:39 | 69,274 | -128 |
| 2 Sept 2026, 02:07 | 69,402 | -262 |
| 1 Sept 2026, 03:47 | 69,664 | -263 |
| 31 Aug 2026, 03:28 | 69,927 | -178 |
| 30 Aug 2026, 04:56 | 70,105 | -125 |
| 29 Aug 2026, 04:07 | 70,230 | -108 |
| 28 Aug 2026, 05:54 | 70,338 | +9,134 |
| 27 Aug 2026, 02:34 | 61,204 | -90 |
| 25 Aug 2026, 23:07 | 61,294 | +2,376 |
| 25 Aug 2026, 01:05 | 58,918 | +4,528 |
| 23 Aug 2026, 15:25 | 54,390 | +1,691 |
| 21 Aug 2026, 22:26 | 52,699 | -201 |
| 20 Aug 2026, 16:13 | 52,900 | first reading |
Engagement
968 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 78 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.566%
- avg views ÷ 67,385 subscribers
- Avg views / post
- 382
- 719 posts measured
- Reaction rate
- 0.182%
- reactions ÷ views · ER floor
- Posts in window
- 719
- of 968 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. It is computed over the 15 of 719 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 968 (13 August 2026 – 22 September 2026) |
| Views total | 274,462 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 13:41 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.
What this channel posts
- Photos
- ≈41,800
- Videos
- ≈25,000
- Links
- ≈196
Lifetime counters from Telegram’s own channel header, read 22 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.
- Video runtime
- 1h 26m
- Average length
- 23s
Measured directly from 230 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
34 reactions across 34 posts, in 7 distinct kinds. The most used accounts for 76.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 26 | 76.5% | |
| ❤ | 2 | 5.88% | |
| 🥱 | 2 | 5.88% | |
| ⚡ | 1 | 2.94% | |
| 👀 | 1 | 2.94% | |
| 🔥 | 1 | 2.94% | |
| 😁 | 1 | 2.94% |
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 35 of the 968 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 34 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 968 most recent posts we hold, published 13 August 2026 to 22 September 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
#闲鱼 被曝暗藏涉黄产业链 涉及未成年人标价交易 媒体调查发现,闲鱼以 “约拍”“健身” 等为幌子引流,私域明码标价,涉及未成年少女,最小仅 14 岁。 平台称今年已处置近 10 万风险账号,但问题仍在升级;审核依赖系统、人工缺位遭质疑,被指 “先出事再补救”。未成年人保护不容松懈,监管与举报需同步发力。 #平台监管漏洞 #未成年人保护 #涉黄整治
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记者探访金边警局 直击反诈物证与作案手法 9 月 22 日下午,媒体记者团实地参观金边市警察局,近距离查看打击网络诈骗行动中缴获的大批涉案证物。 技术民警现场拆解讲解诈骗分子诱骗、勒索的完整链路与话术套路,直观展示柬方在查扣工具、封堵链路、净化网络环境上的执法成果,向国际社会公开反诈进展。 #金边反诈 #物证公开 #警民联动宣传
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#缅甸 佤邦 9 月 21 日遣返 26 名非法入境中国公民 9 月 21 日,缅甸佤邦正式遣返26 名非法入境人员,全部经边境口岸移交中方,已顺利返回国内。 官方已确认人数与移交完成,相关情况后续待进一步通报。 #佤邦遣返 #边境治理 #非法入境
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🫤😐🫥😶🤥🫠🤫🫡🫢 😑 N9 国际认证 | 信誉平台 支持5倍验资 【验资:@N9KF】 担保域名:N9.TOP 点击查看 ⚡️⚡️⚡️⚡️ 💝 新会员好礼 注册就送28.8U 新人首存/二存/三存最高赠送8️⃣8️⃣8️⃣8️⃣U 💝 老会员好礼 电子狂欢每日存款赠送10% 充值笔笔送3%无上限 夜间充值最高可优惠8888U ⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 香港六合彩 4️⃣8️⃣.8️⃣ 倍 加拿大28全网返水最高 ⚡️注册网址:N9.PRO 😇🧐🧐😗🧐😙😄 ⚡️ 官方客服: @N9KF ⚡️ 官方飞投: @N9N9 ⚡️ 彩票客服: @N9CP ⚡️ 彩票飞投: @N9N9N9 ⚡️ 福利频道: @N9pd888 ⚡️ 注册网址: N9.COM【USDT】 ⚡️ 注册网址: N9.C…
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Showing the 12 most recent of 968 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@uzcom_cn · 3,07976 postsN9.COM|官方频道
@N9_com1 · 12,35858 postsN9.COM 福利频道导航
@n9pd888 · 7,71558 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,747,98056 posts腾博会娱乐
@tbhvip · 11,88420 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 2,64419 posts🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 4,96217 posts环球娱乐-官方频道
@hqyl88 · 7,47215 postsU99贵宾会-官方频道
@U99GBH · 3,1074 postsU99.COM【官方福利直播间】
@vvip11 · 4,0714 postsSOSO搜搜
@sososo · 573,4771 post涩涩备用群💋(防丢失)
@SSBYQ · 3421 post
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.
Channels Telegram recommends alongside this one
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.
@chiguahs · 110,022#1
@cgbg8 · 107,027#2
@GXduanzi1 · 91,095#3
@CBD33 · 2,266#4
@neihanduanzi1 · 225,435#5
@chiguasucai · 12,117#6
@TGPG168 · 8,829#7
@chigua88666 · 15,406#8
@onlychigua · 200,649#9
@thwj124 · 361#10
@chigua_e · 234,360#11
@chigua_shipin_duanzi · 4,178#12
@xinwenba · 3,783#13
@FLLCG · 40,318#14
@yaoyiyaoxiaokeai · 19,827#15
@DNY0027 · 2,737#16
@ay2028 · 79,466#17
@lsd62 · 25,101#18
@TG8168 · 1,406#19
@chigua186 · 19,665#20
@TG_neihan · 14,602#21
@GQSP9 · 90,528#22
@duanzilaile · 2,274#23
@xinwen811 · 207,543#24
@gejige · 137,512#25
@oubao9 · 381#26
@qingyu369 · 2,065#27
@chiguaqunzhong_c · 3,243#28
@gaoxiao88 · 22,328#29
@chigua_a · 214,714#30
@blj77 · 205,010#31
@chigua_08 · 21,740#32
@zg5518 · 22,144#33
@zaixianchigua · 35,543#34
@toutiaoph · 27,016#35
@lightrekt · 49,340#36
@bx666 · 471,642#37
@MoiFunVideo · 6,265#38
@surfingfrog · 1,201#39
@heima02158888 · 109#40
@fnnew · 8,564#41
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.
Appears in Telegram’s recommendations for other channels
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.
@GXduanzi1 · 91,095
Telegram ranks this channel #48 of 55 here — alongside 54 others — read 13 August 2026
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“西港大事件(曝光)” (@xigang9918), 67,385 subscribers as measured 18 September 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.