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👍3
Signed 全网收质量频道 @adggku

Channel
@Drabanl6
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
18,090subscribers
-746 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002308329356 |
|---|---|
| Type | Channel |
| Username | @Drabanl6 |
| Description | 阿巴阿巴 不被在意的一个小流工具箱 #公益内核 #三角洲公益内核 #三角洲内核 #辅助 #内核 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/Drabanl6 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 61% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 06:36 | 18,090 | -31 |
| 6 Nov 2026, 02:42 | 18,121 | -15 |
| 5 Nov 2026, 00:25 | 18,136 | -8 |
| 3 Nov 2026, 20:47 | 18,144 | -36 |
| 2 Nov 2026, 17:44 | 18,180 | -6 |
| 1 Nov 2026, 18:38 | 18,186 | -34 |
| 31 Oct 2026, 19:07 | 18,220 | -22 |
| 30 Oct 2026, 18:09 | 18,242 | -12 |
| 29 Oct 2026, 16:36 | 18,254 | -23 |
| 28 Oct 2026, 15:40 | 18,277 | -6 |
| 27 Oct 2026, 14:54 | 18,283 | -11 |
| 26 Oct 2026, 16:28 | 18,294 | -13 |
| 25 Oct 2026, 15:56 | 18,307 | -4 |
| 24 Oct 2026, 14:37 | 18,311 | -15 |
| 23 Oct 2026, 11:29 | 18,326 | -23 |
| 22 Oct 2026, 13:05 | 18,349 | -13 |
| 21 Oct 2026, 05:27 | 18,362 | -12 |
| 20 Oct 2026, 01:40 | 18,374 | -9 |
| 19 Oct 2026, 04:19 | 18,383 | -20 |
| 18 Oct 2026, 01:09 | 18,403 | first reading |
267 posts held, back to 26 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 70 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.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 267 (26 July 2025 – 7 November 2026) |
| Views total | 12,127 |
| Reactions total | 269 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 21:12 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.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
725 reactions across 207 posts, in 6 distinct kinds. The most used accounts for 89.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 647 | 89.2% | |
| ❤ | 72 | 9.93% | |
| 😁 | 2 | 0.276% | |
| 🥰 | 2 | 0.276% | |
| 👏 | 1 | 0.138% | |
| 🔥 | 1 | 0.138% |
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 215 of the 267 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 745 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 267 most recent posts we hold, published 26 July 2025 to 7 November 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 267 most recent posts we hold, published 26 July 2025 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 0 of 33 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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👍3
Signed 全网收质量频道 @adggku
此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍16
Signed 全网收质量频道 @adggku
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍8
Signed 全网收质量频道 @adggku
各种火爆内部资源都可以搜索 不收费不用花VIP 就能收到任何资源 内部搜索群:https://t.me/+aOLCeUARmNFlZWJl
👍23
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍13
Signed 全网收质量频道 @adggku
光头强公益频道: 三角洲解密公益: 更新内容 最新解密攻破更新 反馈的问题明天修复先更新解密,光头强出品随便质检。不吹牛逼光头强更新质量自己品 和平内核apk1.4.7: 即将更新断点功能:午后 超广角 范围 断点级别功能和追稳定性同一线 优先使用Udp或断点闪框解密,渲染远距离有点Bug明天修复。解密都属于更高级别写法不存在市场频繁拉闸现象 内核更新: 1.更新Udp纯三角洲写法 2.更新优化断点解密 3.渲染坐标更新(远处可能没效果明天修) 注意:其他没任何需要改的东西,光头强的所有数据基本都是最优质内容更新.放心使用无需任何担忧,有反馈建议再补充! 隐藏功能卡密在置顶 https://drive.uc.cn/s/2fbe9c591a944?public=1 加入频道获取内核卡密 https://t.me/GTQNB003/10744 #和平精英 #内核 #三角洲 #香肠派对 #无畏契约 #和平精英直装 #pubg #失控…
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三角洲行动嘉豪单解密公益内核 嘉豪单解密 Version : 1106 通过内存修改对游戏坐标函数进行解密或还原,使辅助程序能够正确读取坐标信息,即内存解密。 所有方案均完美兼容全机型。 卡密采用非绑定策略,不受刷机影响,请妥善保管。 1106版更新: 1.适配了全新赛季并采用全新思路。 本赛季各加密解读: 1.相机加密:人都在脸上(可能在头上或者在脸上)以及物资不再绘制 2.坐标加密:敌人都在同一位置并且在对局的中间 开启方法与问题解决(必看): 1.首先在大厅开启解密,随后进入大坝,正常情况下你是处于坐标加密的状态(极个别用户开启解密过后进入对局是相机加密状态,此时开启公益辅助里面自带的相机解密即可) 2.随后让自己死掉并退出当前对局,并再次进入大坝则坐标已被解密(个别用户在第2次进入大坝的时候可能还会有部分敌人处于加密状态,此时多等一下或开第3把即可完美解密) 3.卡完美解密过后,就可以去游玩其他的地图了,只要游戏没有大…
👍9
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👍2
Signed 全网收质量频道 @adggku
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍7❤1
Signed 全网收质量频道 @adggku
此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍2
Signed 全网收质量频道 @adggku
此频道已经被官方盯上了.即将停止使用.点击下面蓝色字体进入新频道更新⬇️⬇️ 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道 此频道即将停用.点击此蓝色字体加入新的频道
👍6
Signed 全网收质量频道 @adggku
我操他妈的电报上骗子怎么这么多啊!!直到我遇到他 @adggnbkefu 我才知道一小时可以挣1988元 目前已经拿下苹果18了😁
👍3
Signed 全网收质量频道 @adggku
Showing the 12 most recent of 267 posts we hold for @Drabanl6. 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.
We recorded 4 posts on @Drabanl6 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
Named by 8 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's 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.
@Drabanl6 named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“Dra-内核通知频道” (@Drabanl6), 18,090 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/Drabanl6.
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.