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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
TypeChannel
Username@N9_com1
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 September 2026
Measurements held17
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/N9_com1

Growth

9,12511,65010,387.56 August 2026 — 9,125 subscribers6 August 2026 — 9,125 subscribers6 August 2026 — 9,133 subscribers9 August 2026 — 9,241 subscribers12 August 2026 — 9,307 subscribers16 August 2026 — 9,313 subscribers19 August 2026 — 9,354 subscribers23 August 2026 — 9,508 subscribers26 August 2026 — 9,724 subscribers29 August 2026 — 10,198 subscribers30 August 2026 — 10,467 subscribers31 August 2026 — 10,642 subscribers1 September 2026 — 10,755 subscribers2 September 2026 — 10,859 subscribers3 September 2026 — 11,074 subscribers5 September 2026 — 11,420 subscribers8 September 2026 — 11,650 subscribers6 August 20268 September 2026
17 measurements spanning 34 days, net +2,525. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 8,746–12,029 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Sept 2026, 23:3711,650+230
5 Sept 2026, 16:0011,420+346
3 Sept 2026, 16:1411,074+215
2 Sept 2026, 06:2510,859+104
1 Sept 2026, 07:4610,755+113
31 Aug 2026, 07:2410,642+175
30 Aug 2026, 04:5610,467+269
29 Aug 2026, 07:2710,198+474
26 Aug 2026, 08:439,724+216
23 Aug 2026, 05:359,508+154
19 Aug 2026, 10:189,354+41
16 Aug 2026, 08:549,313+6
12 Aug 2026, 22:539,307+66
9 Aug 2026, 19:329,241+108
6 Aug 2026, 18:509,133+8
6 Aug 2026, 02:529,125no change
6 Aug 2026, 02:229,125first reading

Engagement

40 posts held, back to 23 July 2026the 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 September 2026
Posts held40 (23 July 20261 September 2026)
Views total10,369
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🖕8073.4%
2724.8%
🎉10.917%
🥰10.917%

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

1 Sept 2026, 10:37 UTC127 viewsread 1 September 2026
Photo

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31 Aug 2026, 09:32 UTC271 views1 reactionsread 1 September 2026
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🎉1

30 Aug 2026, 09:24 UTC393 views1 reactionsread 1 September 2026
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1

29 Aug 2026, 12:56 UTC429 viewsread 1 September 2026
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28 Aug 2026, 09:38 UTC482 views0 reactionsread 1 September 2026
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27 Aug 2026, 10:58 UTC473 views1 reactionsread 1 September 2026
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😀😃😄😁🥹😅🤣🥲☺ 🦆🐦‍⬛🦅🦉🦇🐺🐗 😺官方网址: 🐦 N9.com ⚡ N9 彩票 全新上线,玩法升级 ⚡⚡⚡⚡⚡⚡ 😺😺。😺 倍高赔率 ⚡⚡⚡⚡⚡⚡⚡ 高赔率 · 高反水 🐶 官方数据同步 · 结果公开透明 🐙 不吃暗箱 · 不玩套路,看的见,才敢长期玩。 🐥 N9彩票 全新上线,玩法多、返水高、体验快 🙉🙊🐔🐒🐧🐰🦊🐻🐼 😖🤪来N9,开启全新体验,畅玩每一刻! ⚡ ⚡ 官方小程序:N9N9N9 【免注册直达】

1

26 Aug 2026, 09:21 UTC494 views3 reactionsread 1 September 2026
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😀😃😄😁🥹😅🤣🥲☺ 🦆🐦‍⬛🦅🦉🦇🐺🐗 😀 大奖到手 · 顺利到账 😫 220万U提现到账!N9真实力! 🦣 爆奖不难,稳定出款才重要。 🐙 赢得到,更要提得到,到账才是真实力。 😜 认准稳定平台|选择 N9.COM 🤪 正规运营|到账稳定|娱乐更安心 🙉🙊🐔🐒🐧🐰🦊🐻🐼 😖🤪来N9,开启全新体验,畅玩每一刻! ⚡ ⚡ 官方小程序:N9N9 【免注册直达】

🖕21

25 Aug 2026, 11:02 UTC512 views5 reactionsread 1 September 2026
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😀😃😄😁🥹😅🤣🥲☺ 🦆🐦‍⬛🦅🦉🦇🐺🐗 😀 N9国际娱乐|大品牌 · 大实力 ⚡ 官方直营 · 实力运营 ⚡ 公平透明 · 安全稳定 ⚡ 大额提款 · 秒速到账 ⚡ 实力平台 · 强力保障 🦣 官方网址: N9.COM ⚡ 选择大品牌,娱乐更放心!

🖕32

24 Aug 2026, 11:51 UTC572 views4 reactionsread 1 September 2026
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🖕4

23 Aug 2026, 10:38 UTC508 views2 reactionsread 1 September 2026
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😀😃😄😁🥹😅🤣🥲☺ 🦆🐦‍⬛🦅🦉🦇🐺🐗 😀 N9国际娱乐|大品牌 · 大实力 ⚡ 官方直营 · 实力运营 ⚡ 公平透明 · 安全稳定 ⚡ 大额提款 · 秒速到账 ⚡ 实力平台 · 强力保障 🦣 官方网址: N9.COM ⚡ 选择大品牌,娱乐更放心!

🖕2

22 Aug 2026, 10:48 UTC522 views3 reactionsread 1 September 2026
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🖕21

21 Aug 2026, 10:41 UTC515 views2 reactionsread 1 September 2026
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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.

妙瓦底| 亚太 | 107 | 御龙湾|东南亚新闻|曝光|悬赏
@mwdyt107 · 28,393
91 posts
把故事写进晚风🫧
@hhdwag · 26,133
90 posts
东南亚华人曝光
@MTGBG · 254,349
70 posts
🌈破解软件分享✨
@syrjfx_sl · 102,769
55 posts
东南亚新闻吃瓜曝光
@xinwenAAA · 28,214
54 posts
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 12,959
53 posts
马来西亚大事件广播🅥
@dnydgb · 67,444
51 posts
东南亚大事件(吃瓜)新闻
@ershouflb · 54,830
50 posts
菲律宾大事件 全球曝光🚀
@feilvbin198 · 95,324
50 posts
金三角特区二手市场
@jsjershoushichang · 42,297
48 posts
东南亚DJ太空人音乐馆
@bmzzzz · 15,125
43 posts
GitHub 红队武器库🚨
@GithubRedTeam · 13,992
42 posts
维基内涵吃瓜搞笑
@weijnh · 41,904
40 posts
东南亚大事件
@bx6666o · 516,209
39 posts
东南亚柬埔寨-金三角缅北-悬赏曝光吃瓜新闻
@DNYxuanshang · 117,548
39 posts
柬埔寨新闻/曝光/大事件
@JPZRD68 · 61,117
39 posts
华人头条大事件曝光
@huarenvvip · 37,613
38 posts
东南亚泰国菲律宾新闻曝光
@renzunmozubot · 476,827
38 posts
东南亚新闻/黑料曝光
@BG6668 · 103,171
37 posts
东南亚大事件新闻
@bx666cc8 · 40,724
37 posts
國際日報 东南亚吃瓜 墙外国内新闻
@GuoJiRiBao · 44,230
37 posts
木姐新闻|缅甸新闻 |东南亚新闻 吃瓜群
@miandainchiguaqun · 22,530
37 posts
东南亚大事件曝光新闻
@monewsblog · 440,834
37 posts
维基:求职招聘:(企业人才的沟通桥梁)
@weijizhaopin · 37,365
37 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.