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Channel
N9.COM|官方频道
@N9_com1
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
11,650subscribers
+2,525 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 |
| 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 | 8 September 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/N9_com1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 23:37 | 11,650 | +230 |
| 5 Sept 2026, 16:00 | 11,420 | +346 |
| 3 Sept 2026, 16:14 | 11,074 | +215 |
| 2 Sept 2026, 06:25 | 10,859 | +104 |
| 1 Sept 2026, 07:46 | 10,755 | +113 |
| 31 Aug 2026, 07:24 | 10,642 | +175 |
| 30 Aug 2026, 04:56 | 10,467 | +269 |
| 29 Aug 2026, 07:27 | 10,198 | +474 |
| 26 Aug 2026, 08:43 | 9,724 | +216 |
| 23 Aug 2026, 05:35 | 9,508 | +154 |
| 19 Aug 2026, 10:18 | 9,354 | +41 |
| 16 Aug 2026, 08:54 | 9,313 | +6 |
| 12 Aug 2026, 22:53 | 9,307 | +66 |
| 9 Aug 2026, 19:32 | 9,241 | +108 |
| 6 Aug 2026, 18:50 | 9,133 | +8 |
| 6 Aug 2026, 02:52 | 9,125 | no change |
| 6 Aug 2026, 02:22 | 9,125 | first reading |
Engagement
40 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 34 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.87%
- avg views ÷ 11,650 subscribers
- Avg views / post
- 451
- 23 posts measured
- Reaction rate
- 0.734%
- reactions ÷ views · ER floor
- Posts in window
- 23
- of 40 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 21 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 40 (23 July 2026 – 1 September 2026) |
| Views total | 10,369 |
| Reactions total | 72 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 20:20 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.
Reaction mix
109 reactions across 31 posts, in 4 distinct kinds. The most used accounts for 73.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🖕 | 80 | 73.4% | |
| ❤ | 27 | 24.8% | |
| 🎉 | 1 | 0.917% | |
| 🥰 | 1 | 0.917% |
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 38 of the 40 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 125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 23 July 2026 to 1 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
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❤1
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🖕2
Showing the 12 most recent of 40 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.
Mentions
Named by 343 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 · 28,39391 posts把故事写进晚风🫧
@hhdwag · 26,13390 posts东南亚华人曝光
@MTGBG · 254,34970 posts🌈破解软件分享✨
@syrjfx_sl · 102,76955 posts东南亚新闻吃瓜曝光
@xinwenAAA · 28,21454 posts菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 12,95953 posts马来西亚大事件广播🅥
@dnydgb · 67,44451 posts东南亚大事件(吃瓜)新闻
@ershouflb · 54,83050 posts菲律宾大事件 全球曝光🚀
@feilvbin198 · 95,32450 posts金三角特区二手市场
@jsjershoushichang · 42,29748 posts东南亚DJ太空人音乐馆
@bmzzzz · 15,12543 postsGitHub 红队武器库🚨
@GithubRedTeam · 13,99242 posts维基内涵吃瓜搞笑
@weijnh · 41,90440 posts东南亚大事件
@bx6666o · 516,20939 posts东南亚柬埔寨-金三角缅北-悬赏曝光吃瓜新闻
@DNYxuanshang · 117,54839 posts柬埔寨新闻/曝光/大事件
@JPZRD68 · 61,11739 posts华人头条大事件曝光
@huarenvvip · 37,61338 posts东南亚泰国菲律宾新闻曝光
@renzunmozubot · 476,82738 posts东南亚新闻/黑料曝光
@BG6668 · 103,17137 posts东南亚大事件新闻
@bx666cc8 · 40,72437 posts國際日報 东南亚吃瓜 墙外国内新闻
@GuoJiRiBao · 44,23037 posts木姐新闻|缅甸新闻 |东南亚新闻 吃瓜群
@miandainchiguaqun · 22,53037 posts东南亚大事件曝光新闻
@monewsblog · 440,83437 posts维基:求职招聘:(企业人才的沟通桥梁)
@weijizhaopin · 37,36537 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“N9.COM|官方频道” (@N9_com1), 11,650 subscribers as measured 8 September 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.