解密1适配全部设备 修复之前无法进入的问题 卡密 ANQUY3D8C1C9852220C6BE97827FC045
👍30❤5

Channel
@WQGFPD
On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
103,087subscribers
+9,824 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001862506038 |
|---|---|
| Type | Channel |
| Username | @WQGFPD |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 51 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/WQGFPD |
Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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 |
|---|---|---|
| 27 Oct 2026, 07:10 | 103,087 | +127 |
| 26 Oct 2026, 04:18 | 102,960 | +120 |
| 25 Oct 2026, 06:49 | 102,840 | +145 |
| 24 Oct 2026, 06:18 | 102,695 | +100 |
| 23 Oct 2026, 08:55 | 102,595 | +90 |
| 22 Oct 2026, 11:15 | 102,505 | -39 |
| 21 Oct 2026, 02:38 | 102,544 | +29 |
| 19 Oct 2026, 22:56 | 102,515 | +73 |
| 18 Oct 2026, 22:44 | 102,442 | +58 |
| 17 Oct 2026, 21:57 | 102,384 | +147 |
| 16 Oct 2026, 22:30 | 102,237 | +36 |
| 16 Oct 2026, 00:04 | 102,201 | +1 |
| 15 Oct 2026, 01:56 | 102,200 | +31 |
| 13 Oct 2026, 21:46 | 102,169 | +226 |
| 10 Oct 2026, 09:56 | 101,943 | +63 |
| 6 Oct 2026, 08:15 | 101,880 | +785 |
| 1 Oct 2026, 02:02 | 101,095 | +1,400 |
| 18 Sept 2026, 04:20 | 99,695 | +176 |
| 16 Sept 2026, 00:37 | 99,519 | +229 |
| 14 Sept 2026, 04:01 | 99,290 | first reading |
123 posts held, back to 4 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 172 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 26 October 2026 |
|---|---|
| Posts held | 123 (4 July 2026 – 26 October 2026) |
| Views total | 1,694,000 |
| Reactions total | 7,253 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 07:04 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.
19,967 reactions across 123 posts, in 4 distinct kinds. The most used accounts for 69.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 13,915 | 69.7% | |
| ❤ | 4,441 | 22.2% | |
| 😡 | 1,139 | 5.70% | |
| 🌚 | 472 | 2.36% |
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 123 of the 123 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 19,967 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 123 most recent posts we hold, published 4 July 2026 to 26 October 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.
解密1适配全部设备 修复之前无法进入的问题 卡密 ANQUY3D8C1C9852220C6BE97827FC045
👍30❤5
暗区免ROOT解密雷达 暗区3D模型 暗区卡密 WFF7C7E5FD61ADEC49007E0C96DB009E 提升帧率 提高服务器稳定性
👍48❤3
暗区免ROOT解密雷达 暗区3D模型 暗区卡密 WFF7C7E5FD61ADEC49007E0C96DB009E 彻底修复服务器问题 旧版本已经全部关闭 换新版 有问题截屏反馈 已经云更新1.1.7 优化云端解码延迟 新增3D屏外显示
👍69❤23
暗区免ROOT解密雷达 暗区3D模型 暗区卡密 WFF7C7E5FD61ADEC49007E0C96DB009E 本次更新修复许多问题 还有问题我在后台即可看到 后续反馈多适配国际服/台湾/越南/轻量服等
👍144❤22
暗区免ROOT解密雷达 3D模型 https://t.me/WQGFPDTZ/596047 卡密 WFF7C7E5FD61ADEC49007E0C96DB009E 后续反馈多适配国际服/台湾/越南/轻量服等
👍100❤22
◆更新日志: ●新增适配国服580版本 国际服590版本 ●新增全部物资 有什么缺少的自己加 dump全部物资 支持的驱动 ◆卡密 随便输入
👍75❤8
loading
👍211❤13
已经复活服务器
👍181🌚5❤4
服务器好像有点死了
👍152❤13
三角洲更新 解密1适配全部设备 修复部分设备云端进不去的问题 卡密 ANQUY3D8C1C9852220C6BE97827FC045 使用之前关闭开发者模式
👍69❤58🌚1
支持对峙2国服 人物绘制 人物骨骼 人物血量 人物护甲 自动压枪 自动预判 解决掩体之后坐标没有的问题等 卡密ANQUY3D8C1C9852220C6BE97827FC045
👍96❤27
这个游戏有没有人玩
👍392❤25😡13🌚4
Showing the 12 most recent of 123 posts we hold for @WQGFPD. 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.
@WQGFPD edited 4 posts 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.
Named by 7 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.
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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“神也是人-内核频道” (@WQGFPD), 103,087 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/WQGFPD.
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.