iPhone 上运行 Android,无需越狱或 JIT @术哥喜欢皮卡丘: 发布视频 播放量:2805 弹幕:0 评论:38 点赞:154 投币:19 收藏:44 转发:33 发布日期:2026-11-03 00:26:57
👍23❤2

Channel
@gjzsr_channel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
15,727subscribers
-89 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001367281683 |
|---|---|
| Type | Channel |
| Username | @gjzsr_channel |
| Created | Between 1 March 2018 and 31 July 2021 — 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 | 57 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/gjzsr_channel |
Hacking & security — 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 76% 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, 20:11 | 15,727 | -2 |
| 6 Nov 2026, 21:40 | 15,729 | -7 |
| 5 Nov 2026, 20:58 | 15,736 | +1 |
| 4 Nov 2026, 23:39 | 15,735 | -7 |
| 4 Nov 2026, 01:48 | 15,742 | -3 |
| 3 Nov 2026, 01:27 | 15,745 | -2 |
| 2 Nov 2026, 03:50 | 15,747 | -8 |
| 1 Nov 2026, 03:06 | 15,755 | -2 |
| 31 Oct 2026, 03:59 | 15,757 | -1 |
| 30 Oct 2026, 03:38 | 15,758 | -5 |
| 29 Oct 2026, 00:28 | 15,763 | -1 |
| 27 Oct 2026, 21:08 | 15,764 | -5 |
| 26 Oct 2026, 23:01 | 15,769 | -6 |
| 25 Oct 2026, 21:59 | 15,775 | +5 |
| 25 Oct 2026, 01:08 | 15,770 | +4 |
| 22 Oct 2026, 23:05 | 15,766 | -4 |
| 20 Oct 2026, 15:11 | 15,770 | -4 |
| 19 Oct 2026, 13:44 | 15,774 | +2 |
| 18 Oct 2026, 13:51 | 15,772 | -5 |
| 17 Oct 2026, 16:08 | 15,777 | first reading |
49 posts held, back to 10 June 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 66 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 3 November 2026 |
|---|---|
| Posts held | 49 (10 June 2026 – 3 November 2026) |
| Views total | 10,660 |
| Reactions total | 104 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 17:16 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.
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.
1,376 reactions across 46 posts, in 18 distinct kinds. The most used accounts for 20.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 285 | 20.7% | |
| 😁 | 278 | 20.2% | |
| 👍 | 245 | 17.8% | |
| ❤ | 103 | 7.49% | |
| 🤣 | 99 | 7.19% | |
| 🤮 | 96 | 6.98% | |
| 🤡 | 89 | 6.47% | |
| 🤬 | 53 | 3.85% | |
| 👎 | 25 | 1.82% | |
| 🤯 | 24 | 1.74% | |
| 😱 | 21 | 1.53% | |
| 🖕 | 19 | 1.38% | |
| 🐳 | 16 | 1.16% | |
| 🙈 | 10 | 0.727% | |
| 🥰 | 10 | 0.727% | |
| 💯 | 1 | 0.073% | |
| 😨 | 1 | 0.073% | |
| 🥴 | 1 | 0.073% |
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 46 of the 49 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 1,376 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 10 June 2026 to 3 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.
Telegram’s own ‘edited’ marker: 0 of 4 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).
iPhone 上运行 Android,无需越狱或 JIT @术哥喜欢皮卡丘: 发布视频 播放量:2805 弹幕:0 评论:38 点赞:154 投币:19 收藏:44 转发:33 发布日期:2026-11-03 00:26:57
👍23❤2
OS 4 正式版发了
👍15❤1
#HarmonyOS #酷安 「这些鸿蒙没有的安卓功能准备什么时候关停」😇 https://www.coolapk1s.com/feed/74347232
🤡29👍8😁4
REDMI Note 17 Pro 焕新版手机发布:提供 6GB+256GB 版本 REDMI Note 17 Pro 焕新版 流沙橙 | 元气绿 | 黑色 •6GB+256GB(LPDDR4X+UFS3.1):1599 元,京东自营首销价 1399 元,国补价 1189.15 元 •8GB+128GB(LPDDR4X+UFS2.2,小米商城有售):1599元,国补价 1359.15 元 •8GB+256GB(LPDDR4X+UFS3.1),定价1899元,首销价 1699 元,国补价 1444.15 元 #News #数码 #红米
🤮20👍2
https://github.com/cr-zhichen/password-manager-switch
👍11
华为余承东官宣鸿蒙出海:正在考虑未来逐步将 HarmonyOS 推向全球市场 华为终端 BG 董事长余承东在近期国际媒体圆桌会议上表示,华为正考虑将 HarmonyOS 推向全球市场。余承东回顾了华为自 2019 年以来克服困难建立国内供应链与自主芯片、操作系统的历程,并强调华为已基本摆脱对美国技术依赖。 目前,已有超 9000 万台设备运行 HarmonyOS 6 和 7,预计年底达 1 亿台。生态方面,HarmonyOS 拥有超 45 万个应用,注册开发者达 1100 万。针对海外战略,余承东表示将逐步回归全球市场,目前华为在可穿戴及 TWS 耳机领域表现强劲,但在海外智能手机销量仍受制约。 —— IT之家
🤣37👍5👎4🤡2
Photo, posted without a caption
👍30😁12
我们 oplus 已在内核层面预装 ACE * File: oplus_kernel_security_check.c * Author: cenjun * Data: 2025-7-20 * Version 1.0 * Desc:和平精英需求-内核完整性检测,包括系统调用表劫持检测和ko完整性检测 https://github.com/OnePlusOSS/android_kernel_modules_and_devicetree_oneplus_mt6993/blob/oneplus/mt6993_b_16.0_ace_6_ultra/vendor/oplus/kernel/secureguard/gki2.0/rootguard_new/oplus_kernel_security_check.c
🤮17🥰10👍4❤3💯1
https://blog.nns.ee/2026/09/24/oneplus-root/ 如果发布就采取法律行动
😁48🤡10👍9❤1
荣耀方面表示,对张先生母亲的去世表示哀悼,同时“发帖与事实不符”这件事对荣耀造成了品牌伤害,但出于人道主义关怀,荣耀将不予追究。
💩73🖕8👍3
荣耀“魔法画报”事件当事人:与荣耀无关,为给品牌造成的影响致歉;此前其称“魔法画报”广告难退出,致母亲心梗后错过最佳抢救时间 ▎Source
🤬36🤡12🖕8
小微 AI 强开 - 强开微信大部分 小微 AI 的入口 - 屏蔽微信注入检测(大概没啥用,图一乐) - 强开 单删好友展示(没啥意义,实际展示由服务器控制) ! 只对 微信 8.0.78 (3180) 做了适配 · 因为小微的入口太多了,大概还有漏,发现漏的通知我 · 小工具如果提示 系统维护中,需要强开小微之后使用几个小时,等待服务器下放权限 · 和朋友小微的聊天 是服务器云控功能,强开的不可用 @bakaPD 转载请保留出处
👍6
Showing the 12 most recent of 49 posts we hold for @gjzsr_channel. 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 2 posts on @gjzsr_channel 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 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.
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.
“搞机助手·R 官方频道” (@gjzsr_channel), 15,727 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/gjzsr_channel.
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.