CODM 有绘制源码吗 收一套 魔改引擎高几天 绘制还是有问题
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Channel
@dadadanb
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
17,429subscribers
+3,798 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002068364395 |
|---|---|
| Type | Channel |
| Username | @dadadanb |
| Description | 主 steam\主机游戏 通杀 虚幻引擎 部分 unity引擎 需要定制/二改/教学 可私信频道主 所有项目 可出源码/dmup/sdk/解密数据/功能源码 频道主:@Cax000 频道主担保中转:https://ntnb.5x20.cn/ 所有的广告均不担保 自行判断 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/dadadanb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 05:53 | 17,429 | +169 |
| 29 Aug 2026, 04:46 | 17,260 | +280 |
| 28 Aug 2026, 03:04 | 16,980 | +213 |
| 27 Aug 2026, 02:04 | 16,767 | +222 |
| 25 Aug 2026, 23:25 | 16,545 | +249 |
| 24 Aug 2026, 21:56 | 16,296 | +158 |
| 23 Aug 2026, 09:48 | 16,138 | +237 |
| 21 Aug 2026, 17:49 | 15,901 | +231 |
| 20 Aug 2026, 16:52 | 15,670 | +152 |
| 19 Aug 2026, 14:43 | 15,518 | +318 |
| 18 Aug 2026, 11:16 | 15,200 | +178 |
| 17 Aug 2026, 11:03 | 15,022 | +573 |
| 15 Aug 2026, 20:19 | 14,449 | +675 |
| 14 Aug 2026, 08:17 | 13,774 | +13 |
| 13 Aug 2026, 03:17 | 13,761 | +12 |
| 12 Aug 2026, 02:43 | 13,749 | +30 |
| 11 Aug 2026, 05:38 | 13,719 | +24 |
| 10 Aug 2026, 03:01 | 13,695 | +32 |
| 9 Aug 2026, 03:54 | 13,663 | +24 |
| 8 Aug 2026, 06:28 | 13,639 | first reading |
148 posts held, back to 31 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 47 pagesof 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 115 of 140 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 148 (31 July 2026 – 30 August 2026) |
| Views total | 132,570 |
| Reactions total | 575 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 14:27 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 30 August 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.
579 reactions across 114 posts, in 8 distinct kinds. The most used accounts for 85.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 493 | 85.1% | |
| ❤ | 56 | 9.67% | |
| 🤡 | 18 | 3.11% | |
| 🔥 | 4 | 0.691% | |
| 🤓 | 4 | 0.691% | |
| 🥰 | 2 | 0.345% | |
| 😱 | 1 | 0.173% | |
| 🤩 | 1 | 0.173% |
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 116 of the 148 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 579reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 148 most recent posts we hold, published 31 July 2026 to 30 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.
CODM 有绘制源码吗 收一套 魔改引擎高几天 绘制还是有问题
👍18
Photo, posted without a caption
👍16🤡2
随游戏更新
👍18🤡3😱1
爱玩系列全系公益内核启动器5.3 更新cfm解密数组 现在有两个解密数组了,如果直接启动没框就逐个勾选解密数组,哪个有框选哪个,不可同时勾选两个数组 本版本为强制更新,卸载旧版本启动器下载安装v5.3 内置 1.lolm 2.无畏契约 3.失控进化 4.和平精英 5.cfm 集成多款爱玩系列辅助,只是一个启动器,本质还是内核,不影响稳定性 内置 1.lolm 2.无畏契约 3.失控进化 4.和平精英 5.cfm 全部都为内核,需给启动器root权限,才可以正常使用。 内置解密全都为算法解密,不动内存 具体辅助驱动请查看历史记录找到对应游戏的压缩包里有对应驱动下载。 爱玩解密内核主频道 @BYGWJJ 永久公益卡密:@BYGWJJ 反馈联系 @bhsfss 网盘下载链接:https://pan.quark.cn/s/d10652cc3e5c 一个很简单的永久过验证方法 https://t.me/BYGWJJ/23143 交流群 …
👍16🤡2
⭐今天我整合了挂圈各大热门频道! 以下频道是挂圈热门频道大合集 LV公益内核频道 落叶公益内核频道 爱玩多内核公益频道 enen内核频道 林羽内核频道 小雪内核频道 吴迪公益破解频道 光头强工艺内核频道 雪花工艺内核频道 TP工艺内核频道 葫芦娃工艺频道 互推日进500+用户 参加联系 @qxnbg686 (频道主联系) 参加互推要求:频道10k+日浏览800 ❤️已加入超多百K大频道共享流量 ------------------------------------- 点我一键加入全部频道🗡️ 点我一键加入全部频道🗡️ 点我一键加入全部频道🗡️
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Photo, posted without a caption
👍9❤1
随游戏更新
👍11❤3
忘记了 SKJH 有一些功能开关忘记 加了 下一次吧
👍17
SKJH DMA 8.29 更新 随游戏更新 增加 骨骼 人物物品绘制 字体大小 颜色调控 修复 闪框 脱框 等问题
👍16❤3
File, posted without a caption
👍16
和平精英模拟器DMA多功能辅助 8.29 优化
👍6
❗️❗️soso搜索资源群 🥰 🥰🥰🥰 🥰🥰🥰 ✅频道主推荐 TG最全soso资源搜索群🔍 https://t.me/+HW1WlJwttZhjMjBl https://t.me/+HW1WlJwttZhjMjBl 🥰点击链接加入🥰
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Showing the 12 most recent of 148 posts we hold for @dadadanb. 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.
@dadadanb edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 1,006,834 of 1,627,068entries 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.
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 2 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.
@dadadanb named 1 handle 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.
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.
“哒哒哒PC端游steam主机游戏辅助(PUBG\和平精英\暗区突围)” (@dadadanb), 17,429 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/dadadanb.
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.