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Channel
@KCNQ886
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
6,407subscribers
-215 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002113297732 |
|---|---|
| Type | Channel |
| Username | @KCNQ886 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/KCNQ886 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 13:38 | 6,407 | -26 |
| 27 Aug 2026, 17:43 | 6,433 | -28 |
| 24 Aug 2026, 09:42 | 6,461 | -34 |
| 21 Aug 2026, 02:24 | 6,495 | -24 |
| 18 Aug 2026, 07:23 | 6,519 | -26 |
| 15 Aug 2026, 14:07 | 6,545 | -40 |
| 11 Aug 2026, 16:16 | 6,585 | -34 |
| 8 Aug 2026, 11:46 | 6,619 | -3 |
| 8 Aug 2026, 01:48 | 6,622 | first reading |
20 posts held, back to 10 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 6 pages of Telegram’s post history, 20 posts per page.
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 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (10 July 2026 – 7 August 2026) |
| Views total | 771 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:01 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.
38 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 73.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 28 | 73.7% | |
| ❤ | 8 | 21.1% | |
| 👎 | 2 | 5.26% |
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 15 of the 20 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 July 2026 to 7 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.
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我的操作太秀了,连巡查员都在偷学我的技术!
Signed 南齐
KernelCheat[和平精英]更新通知 更新模式:远程更新[重启APP自动完成更新] 更新内容: - 增加巡查预警 - 修复上次更新后导致的掉帧问题 - 修复部分物资不显示的问题 KernelCheat运营团队 2026年8月6日
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KernelCheat[和平精英]更新通知 更新模式:远程更新[重启app自动完成更新] 更新内容:修复7月24日更新导致的物资载具显示但是玩家不显示的问题! KernelCheat运营团队 2026年8月3日
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🌐✨ KernelCheat 官网焕新上线 亲爱的 KC 用户们: - 我们最近对 KernelCheat 官网 进行了全面重构,全新界面已经上线! 这次更新不仅带来了更清爽的视觉体验,还让功能和价格信息一目了然。 🆕【新官网亮点】 • 全新界面设计:更直观、更简洁,操作体验全面升级 • 版本对比功能:不同版本的功能与价格清晰展示,方便快速选择 • 信息更透明:所有套餐详情一站式查看,不会对套餐有任何疑问 🚀【立即体验】 快来访问 KernelCheat 官网,探索全新界面,查看不同版本的功能与价格,选择最适合你的方案! 我们的唯一官网: KernelCheat.com KernelCheat 运营团队 2026 年 7 月 27 日
Signed 南齐
凯撒这说的不就是暖小伟吗?跟没开智一样😂
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Signed 南齐
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Signed 南齐
Photo, posted without a caption
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Signed 南齐
KernelCheat[和平精英]更新通知 更新模式:远程更新[重启APP自动完成更新] 更新内容: - 修复一加部分设备出现ESP闪烁横移的问题 KernelCheat运营团队 2026年7月24日
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听说市场上面那些项目都更新了坐标解密? 你猜为什么KC不用更新呢,因为KC已经把和平精英的加密通杀了,不要问我解密了🤓
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Showing the 12 most recent of 20 posts we hold for @KCNQ886. 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 — 495,396 of 1,629,452 entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“KC内核更新频道” (@KCNQ886), 6,407 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/KCNQ886.
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.