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Channel

Apex三角洲公益解密

@ApexZPD

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

16,514subscribers

+15,676 since we began measuring on 11 September 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003856557615
TypeChannel
Username@ApexZPD
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 September 2026
Last confirmed live19 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/ApexZPD

Growth

83816,5148,67611 September 2026 — 838 subscribers11 September 2026 — 838 subscribers12 September 2026 — 7,059 subscribers17 September 2026 — 13,033 subscribers19 September 2026 — 16,514 subscribers11 September 202619 September 2026
5 measurements spanning 8 days, net +15,676. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 10:0216,514+3,481
17 Sept 2026, 01:1813,033+5,974
12 Sept 2026, 23:167,059+6,221
11 Sept 2026, 06:22838no change
11 Sept 2026, 05:47838first reading

Engagement

8 posts held, back to 6 September 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.67%
avg views ÷ 16,514 subscribers
Avg views / post
1,270
8 posts measured
Reaction rate
0.459%
reactions ÷ views · ER floor
Posts in window
8
of 8 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. It is computed over the 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 September 2026
Posts held8 (6 September 202611 September 2026)
Views total10,130
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Sept 2026, 06:22 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.

What this channel posts

Video runtime
56s
Average length
56s

Measured directly from 1 video 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.

Reaction mix

34 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 52.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1852.9%
1544.1%
🌚12.94%

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 6 of the 8 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 34 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 6 September 2026 to 11 September 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

11 Sept 2026, 04:54 UTC590 views5 reactionsread 11 September 2026
Video

✨辅助启动教学 防录屏原因 视频不显示UI 如果您的驱动无法刷入请按照下方格式反馈给作者 @ApexFZR 我的设备是....... 我的内核版本是...... 我的面具是......

👍41

10 Sept 2026, 18:24 UTC≈1,420 views1 reactionsread 11 September 2026

睡醒统一修复问题/Bug,晚安喽😴

1

10 Sept 2026, 17:22 UTC≈1,410 views2 reactionsread 11 September 2026

每一款辅助产品的迭代成长与完善,都离不开用户与开发团队的双向奔赴。新项目上线初期难免存在小问题/Bug,欢迎大家积极向运营团队反馈问题、提出宝贵建议。我们会认真吸纳优质想法,持续打磨优化,力求带给大家更好的使用体验😘 发现任何问题/bug请在评论区留言 采纳的优秀建议将在新版本中加入

2

10 Sept 2026, 17:19 UTC≈1,350 viewsread 11 September 2026
File

随便解压至任意目录下 直接执行里边的SH即可

10 Sept 2026, 17:18 UTC≈1,340 views18 reactionsread 11 September 2026
File

🎮『Apex_Kernel_1.0.0』 ✨更新内容: - 纯算法解密 全机型适配解密 - 不闪框不漏人不遁地 - 精致美观的启动器及UI - 自由调节的的人物绘制效果 - AI自动压枪(识别图层+传感器调整 ) - 内核陀螺仪+漏打自瞄随意裸奔 - 完美的Physx模型漏打 不会误判 - 内核模型/掩体变色+自研驱动 - APP本地共享绘制 悬浮窗雷达 - 网页雷达+局域网雷达双端协同 - 内置云更新,游戏更新最快跟进 🔑公益卡密:@ApexZPD The best cheat for Delta Force❤️ ✨官方频道:@ApexZPD ✨交流群组:@Apex3A ✨辅助反馈:@ApexFZR ✨Apex Kernel运营团队 如果您觉得本辅助给你带来的体验还不错,希望各位用户可以留下一个免费的👍,您的认可是我们不断迭代与优化的动力,感谢每一位用户一路以来的支持与信任😘

👍144

6 Sept 2026, 07:58 UTC≈1,240 views5 reactionsread 11 September 2026
Photo

✨Apex Kernel导航页 ⛓资源下载 → 获取 Apex 最新安装包 👁使用教学 → 查看相关视频教程 🏘官方频道 → 及时获取最新资讯与更新 💬聊天群组 → 点我加入不禁言交流群 🤙联系作者 → 联系 Apex 运营团队 The best cheat for Delta Force

5

6 Sept 2026, 07:58 UTC≈1,370 viewsread 11 September 2026
Photo

✨Apex Kernel DFM https://t.me/+K3gcNw4osDgzZDQ1

Showing the 8 most recent of 8 posts we hold for @ApexZPD. 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.

Forward network

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.

Mentions

Named by 16 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.

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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Apex三角洲公益解密” (@ApexZPD), 16,514 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ApexZPD.

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.