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Channel
N9.COM|官方频道
@N9_com1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
13,371subscribers
+4,246 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002593445480 |
|---|---|
| Type | Channel |
| Username | @N9_com1 |
| Description | ✅官方网址: N9.COM ✅综合客服: @N9KF ✅综合飞投: @N9N9 ✅彩票客服: @N9CP ✅彩票飞投: @N9N9N9 ✅ 福利频道:@N9PD888 🎉国际认证、极速出款🎉 🎉用信誉陪伴、用服务说话🎉 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/N9_com1 |
Topic
Gambling & betting — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 19:48 | 13,371 | +53 |
| 9 Nov 2026, 23:21 | 13,318 | -86 |
| 8 Nov 2026, 12:05 | 13,404 | -46 |
| 7 Nov 2026, 07:46 | 13,450 | -42 |
| 6 Nov 2026, 05:00 | 13,492 | -21 |
| 5 Nov 2026, 07:17 | 13,513 | -10 |
| 4 Nov 2026, 05:30 | 13,523 | +76 |
| 3 Nov 2026, 01:50 | 13,447 | +13 |
| 2 Nov 2026, 00:56 | 13,434 | -15 |
| 1 Nov 2026, 00:46 | 13,449 | +32 |
| 30 Oct 2026, 21:28 | 13,417 | +20 |
| 29 Oct 2026, 21:16 | 13,397 | +34 |
| 28 Oct 2026, 22:07 | 13,363 | +82 |
| 27 Oct 2026, 22:56 | 13,281 | +20 |
| 26 Oct 2026, 21:54 | 13,261 | +40 |
| 25 Oct 2026, 18:37 | 13,221 | +59 |
| 24 Oct 2026, 15:16 | 13,162 | +7 |
| 23 Oct 2026, 14:34 | 13,155 | +59 |
| 22 Oct 2026, 17:19 | 13,096 | +15 |
| 21 Oct 2026, 14:15 | 13,081 | first reading |
Engagement
63 posts held, back to 23 July 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.34%
- avg views ÷ 13,371 subscribers
- Avg views / post
- 848
- 18 posts measured
- Reaction rate
- 0.345%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 63 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 17 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 63 (23 July 2026 – 10 November 2026) |
| Views total | 15,262 |
| Reactions total | 52 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 20:04 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
- 563
- Videos
- 16
- Links
- 527
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 4m 21s
- Average length
- 52s
Measured directly from 5 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
187 reactions across 53 posts, in 6 distinct kinds. The most used accounts for 71.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🖕 | 133 | 71.1% | |
| ❤ | 45 | 24.1% | |
| 👍 | 6 | 3.21% | |
| 🎉 | 1 | 0.535% | |
| 🔥 | 1 | 0.535% | |
| 🥰 | 1 | 0.535% |
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 60 of the 63 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 63 most recent posts we hold, published 23 July 2026 to 10 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: 4 of 18 posts held from the last 30 days (22.2%) 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).
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👍3
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❤3
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❤1
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❤1
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🖕2❤1
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🖕3
Showing the 12 most recent of 63 posts we hold for @N9_com1. 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 1 post on @N9_com1 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
- 7 August 2026
- Most recent seen missing
- 7 August 2026
- Median time before seen missing
- 9.6 hours
- Seen missing in the last 30 days
- 0
Mentions
Named by 375 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@mwdyt107 · 25,304374 posts东南亚华人曝光
@MTGBG · 228,252231 posts东南亚大事件(吃瓜)新闻
@ershouflb · 44,265173 posts东南亚柬埔寨-金三角缅北-悬赏曝光吃瓜新闻
@DNYxuanshang · 100,187169 posts菲律宾大事件 全球曝光🚀
@feilvbin198 · 79,701165 posts华人头条大事件曝光
@huarenvvip · 31,368143 posts亚太新闻 | 缅甸新闻 | 爆料
@kaihne2 · 64,889142 posts东南亚金三角-悬赏曝光
@jsj53 · 52,287141 posts西港大事件(曝光)
@xigang9918 · 75,379132 posts木姐新闻|缅甸新闻 |东南亚新闻 吃瓜群
@miandainchiguaqun · 23,598130 posts东南亚大事件|海外事件|吃瓜曝光|今日头条
@miandianDS · 41,602130 posts华人便民大事件-柬搜新闻កម្ពុជា។🇰🇭
@bgyq555 · 51,634129 posts东南亚头条新闻
@fznnn · 48,311129 posts🌈破解软件分享✨
@syrjfx_sl · 100,959127 posts马来西亚|曝光|大事件广播🅥
@dnydgb · 97,170124 posts把故事写进晚风🫧
@hhdwag · 11,625124 posts东南亚新奇大事件
@xqdsj · 44,910114 posts金三角特区二手市场
@jsjershoushichang · 34,602111 posts东南亚华人曝光大事件
@tougaoa · 54,400110 posts灰产社区|新闻中心
@mllll · 35,059104 posts维基:求职招聘:(企业人才的沟通桥梁)
@weijizhaopin · 40,610104 posts维基内涵吃瓜搞笑
@weijnh · 44,882103 posts《缅甸木姐|亚太新闻频道》 缅北新闻 东南亚新闻吃瓜群
@ggaiyung34 · 38,322102 posts《西港金边》新闻大曝光《78.COM》
@v7444488 · 70,488101 posts
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.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“N9.COM|官方频道” (@N9_com1), 13,371 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/N9_com1.
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.