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Channel

维咔VikACG通知频道 - 资源、学术讨论与漫画

@vikacg

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

15,217subscribers

+82 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-1001193246093
TypeChannel
Username@vikacg
Created30 June 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/vikacg

Growth

15,13515,21715,1766 August 2026 — 15,135 subscribers7 August 2026 — 15,137 subscribers8 August 2026 — 15,141 subscribers9 August 2026 — 15,150 subscribers10 August 2026 — 15,162 subscribers10 August 2026 — 15,169 subscribers11 August 2026 — 15,179 subscribers12 August 2026 — 15,180 subscribers14 August 2026 — 15,201 subscribers16 August 2026 — 15,212 subscribers17 August 2026 — 15,217 subscribers6 August 202617 August 2026
11 measurements spanning 11 days, net +82. 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 15,123–15,229 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 13:0715,217+5
16 Aug 2026, 02:1615,212+11
14 Aug 2026, 11:4515,201+21
12 Aug 2026, 23:5615,180+1
11 Aug 2026, 21:0215,179+10
10 Aug 2026, 23:3815,169+7
10 Aug 2026, 02:2615,162+12
9 Aug 2026, 05:2215,150+9
8 Aug 2026, 07:2115,141+4
7 Aug 2026, 07:0015,137+2
6 Aug 2026, 12:4515,135first reading

Engagement

23 posts held, back to 9 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 15,217 subscribers
Avg views / post
2,300
7 posts measured
Reaction rate
0.838%
reactions ÷ views · ER floor
Posts in window
7
of 23 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held23 (9 June 202614 August 2026)
Views total16,104
Reactions total135
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 22:02 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

440 reactions across 21 posts, in 19 distinct kinds. The most used accounts for 18.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤣7918.0%
😁5913.4%
👏439.77%
💩378.41%
🤮378.41%
327.27%
🗿317.05%
🤨286.36%
👍204.55%
😇204.55%
👎173.86%
🥰173.86%
🐳61.36%
💯40.909%
🍌20.455%
🔥20.455%
😍20.455%
🙈20.455%
🤡20.455%

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 21 of the 23 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 440reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 9 June 2026 to 14 August 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

13 Aug 2026, 18:30 UTC958 views25 reactionsread 16 August 2026

我求你们这些用户说话规范一点,最近一周老是有用户反馈维咔的私人下载用不了,结果我大半夜噩梦醒了之后复盘才发现是骂我们下载管理很死人,我一看好家伙果然有Bug,你们直接说下不了或者直接骂下载功能很死了妈了就行,一群人说个私人下载几个意思,我们也没私密下载这个功能 二更:想了想还是原谅你们了,至少你们没有只说维咔用不了

🤣19🥰3🤡2👎1

8 Aug 2026, 16:05 UTC≈1,660 views6 reactionsread 16 August 2026

NDP2026:未来无限,前进吧,新加坡! “前进,不只是抵达更远的地方,也是愿意为彼此多走一步。越过昨日的边界,新的可能便从此刻开始。” 2026年8月9日是新加坡独立61周年,也是新加坡的国庆日。今年的主题是“未来无限,前进吧,新加坡!”,寄托着我们继续向前、不断进步的愿景,也鼓励每一个人为彼此、为社会、为共同的未来再向前一步,突破边界,创造更多可能。 如需了解国庆庆典场馆、交通安排及其他相关信息,请访问:https://www.ndp.gov.sg

6

28 Jul 2026, 01:35 UTC≈2,880 views13 reactionsread 16 August 2026

已到工位:原生的问题,伴侣的冷战,亲人的隔阂,同事的八卦,遗憾的故事,阶级的差距,军事的战略,大国的博弈,生命的演化,宇宙的尽头。除了工作,都可以找我畅聊一下 周一到周五仅限9:00-17:30,周六周日不聊。

9🥰4

25 Jul 2026, 14:45 UTC≈4,010 views63 reactionsread 16 August 2026

男娘如何把肛门照片p得更诱人的教程: 1.打开修图软件,将亮度拉到合适的水平2.裁剪掉照片里的又黑又皱的老篮子等有碍观瞻的部位3.调整结构-30%,弱化肛毛和色素沉淀的存在感4.调整高光-20%,阴影-20%,对比度-10%,使明暗更加均匀,这一步也可以通过曲线完成5.调整白平衡,色温+5%,着色+10%,使颜色更加红艳欲滴6.使用修复工具祛除痘印色斑7.最后可以加上一层浅浅的噪点,掩盖修图痕迹

🤮30🤨23😁6👎2😍2

21 Jul 2026, 03:12 UTC≈2,830 views8 reactionsread 16 August 2026
Forwarded from @leehsienloongPhoto

Today, we celebrate Racial Harmony Day. Singapore is probably one of the few countries that sets aside a special day to celebrate harmony among different races. This harmony is the result of years of patient effort. It did not happen on its own. By treating one another with respect and celebrating our diversity, we can keep Singapore a place where everyone belongs. go.gov.sg/0dk5fx

8

16 Jul 2026, 22:50 UTC≈3,300 views21 reactionsread 16 August 2026

好像这个世界变得没有意思了,你咔雇员都找不到雷霆沙雕图放频道了,咔友们能推荐一些吗

😇201

12 Jul 2026, 13:08 UTC≈3,650 views2 reactionsread 16 August 2026

这段时间的热门番怎么全是做雾化的

🔥2

11 Jul 2026, 16:35 UTC≈4,060 views17 reactionsread 16 August 2026
Photo

Photo, posted without a caption

🗿13😁4

Showing the 12 most recent of 23 posts we hold for @vikacg. 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 — 292,417 of 1,481,502entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“维咔VikACG通知频道 - 资源、学术讨论与漫画” (@vikacg), 15,217 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/vikacg.

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.