神秘彩金已派送,限72小时内登入领取,逾期将失效。 😟😟😟😟 @N1KF379 😃😄😃😄 n10037.com

Channel
N1国际福利频道
@N1VIP9
On this record: Growth · Engagement · Posts · Citations · Cite this entry
6,010subscribers
+0 since we began measuring on 23 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1004411127297 |
|---|---|
| Type | Channel |
| Username | @N1VIP9 |
| Created | 16 August 2026 — measured — dated from the channel’s first post |
| First recorded | 23 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/N1VIP9 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 03:07 | 6,010 | no change |
| 23 Aug 2026, 22:30 | 6,010 | first reading |
Engagement
4 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 17.8%
- avg views ÷ 6,010 subscribers
- Avg views / post
- 1,070
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 4
- of 4 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.
| Window | Rolling 30 days · latest post in window 19 August 2026 |
|---|---|
| Posts held | 4 (16 August 2026 – 19 August 2026) |
| Views total | 2,134 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Aug 2026, 22:30 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.
Recent posts
⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 🎈🤐🎈🎈🎈🎈🎈🎈🤐🎈🤐 💌🌺有一种浪漫,是跨越星河也要奔赴相见; 有一种幸福,是漫长岁月里始终有人相伴。🌺 ❤️七夕如约而至,浪漫也刚刚好。 愿今天有喜欢的人相伴,有开心的事发生, 有期待,也有惊喜。 🥰不必把浪漫说得太满,一份惦念,一次相聚,便是七夕最好的心意。 😟😟😟😟 @N1KF379 😃😄😃😄 n10037.com
Channel photo updated
Channel created
Showing the 4 most recent of 4 posts we hold for @N1VIP9. 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.
Citation-graph rank
Citation-graph rank — 350,998 of 1,604,161entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 36 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.
@CGLQDZ · 25,6253 postsMakati吃瓜社
@Makatichigua · 15,2333 posts🍉吃瓜中心&搞笑日常
@cggx33 · 61,6192 posts电竞体育 LPL中文推单🫥
@dianjingtuidan1 · 100,5572 posts👅动漫里番の二次元💋
@dongmanlifan18 · 349,4952 posts里番NSFW动漫💎韩漫画
@LFHDM · 267,1492 postsMakati新闻社
@makatinews · 37,2022 posts每日新闻💋吃瓜曝光(斯里兰卡)
@meirixinwenquan · 43,4062 posts东南亚缅北新闻曝光电子
@newscn2 · 529,0762 posts缅甸缅北东南亚新闻曝光
@nx123 · 814,9872 posts『 色情吃瓜』中文剧情
@qingsechigua · 29,3322 posts吃瓜看戏㊙️搞笑视频
@zg5518 · 13,5072 posts柬埔寨 菲律宾 越南 东南亚大曝光
@dny2023flb · 80,5721 post吃瓜搞笑视频🤡
@DNYQZZP · 55,9041 postH漫里番动漫
@dongmanlifanerciy · 99,7541 post迪拜 东南亚求职招聘
@Dubaiqzzp · 76,1361 post91吃瓜反差新闻
@fcxho · 53,5731 postH漫里番漫画♨️
@HMLFMH · 93,7131 post国内吃瓜/国内事件/国内爆料/吃瓜频道
@lee_001122 · 81,8101 post走路带风#文案头像馆
@MaoShuGame · 22,0601 post猫鼠游戏🥇文案素材头像馆🐹🐯
@scwenan · 17,9371 post足球体育圈 中文推单频道(NBA·五大联赛每日竞彩红单推荐)
@tiyuquan · 105,2781 post卡斯兰卡大事件/马来西亚新闻
@YTT783 · 79,4761 post亚太求职/甩人/找工作
@YTT789 · 320,8101 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.
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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“N1国际福利频道” (@N1VIP9), 6,010 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/N1VIP9.
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.