🎮 一加ACE6至尊版环境反馈
👍34❤3

Channel
@Whitelist520
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
142,971subscribers
+1,540 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001846470470 |
|---|---|
| Type | Channel |
| Username | @Whitelist520 |
| Description | 诋毁,本身就是一种仰望 🔥注意有🐶冒充阿灵骗钱! 阿灵不会主动私信任何人! 正版阿灵:t.me/ALINGNO3 阿灵双向🤖:t.me/ALINGNO3_Bot 双向限制私信不了请使用🤖 交流群:t.me/Whitelist5201 阿灵个人频道:t.me/ALING521 遇见你的我更爱笑一些 本群不售卖任何东西 所有资源文件都只作为免费分享 “答案在路上,自由在风里” 喜欢的歌一听,就知道会喜欢 会一直喜欢听,可以一直听 可惜喜欢一个人也一样 一眼就知道会喜欢,会一直喜欢😔 |
| Created | Between 1 October 2022 and 31 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/Whitelist520 |
Film & TV — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 10:33 | 142,971 | +323 |
| 11 Aug 2026, 10:06 | 142,648 | +236 |
| 10 Aug 2026, 11:18 | 142,412 | +239 |
| 9 Aug 2026, 14:12 | 142,173 | +381 |
| 8 Aug 2026, 11:55 | 141,792 | +334 |
| 7 Aug 2026, 10:54 | 141,458 | +27 |
| 7 Aug 2026, 08:15 | 141,431 | no change |
| 7 Aug 2026, 08:04 | 141,431 | first reading |
50 posts held, back to 7 August 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 17 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 50 (7 August 2026 – 12 August 2026) |
| Views total | 304,978 |
| Reactions total | 2,171 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:13 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 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
2,171 reactions across 49 posts, in 20 distinct kinds. The most used accounts for 81.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,769 | 81.5% | |
| ❤ | 309 | 14.2% | |
| 🤓 | 26 | 1.20% | |
| 🤔 | 18 | 0.829% | |
| 😇 | 15 | 0.691% | |
| 🤩 | 9 | 0.415% | |
| 😱 | 4 | 0.184% | |
| 👏 | 3 | 0.138% | |
| 🤪 | 3 | 0.138% | |
| 👌 | 2 | 0.092% | |
| 💋 | 2 | 0.092% | |
| 🔥 | 2 | 0.092% | |
| 🥱 | 2 | 0.092% | |
| 🌚 | 1 | 0.046% | |
| 🍓 | 1 | 0.046% | |
| 💯 | 1 | 0.046% | |
| 😁 | 1 | 0.046% | |
| 😨 | 1 | 0.046% | |
| 😭 | 1 | 0.046% | |
| 🥰 | 1 | 0.046% |
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 49 of the 50 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 2,171reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 7 August 2026 to 12 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.
🎮 一加ACE6至尊版环境反馈
👍34❤3
🎮 红魔平板Pro,就这样
👍31❤2
🎮 一加ACE6至尊版,就这样
👍34❤8
新上传了个16.0.9.400版本的 已经在其他版本弄了伪回锁的 想升级系统其实很简单 有对应新系统版本适配 的LK伪回锁文件就可以 比如现在已经是16.5.0.701的版本 有root后可以用时光荚 完全不需要用到电脑 下载好16.0.9.400全量包 直接用时光荚OTA更新 时光荚会自动帮你保留当前root的 刷完先不要重启!!! 再用scene里的备份还原功能 把16.0.9.400的LK伪回锁文件 刷入lk_a,lk_b两个分区后再重启 就能保留伪回锁不卡开机升级系统 还不是伪回锁的想弄伪回锁的 我也建议弄之前先刷一次全量包 避免有其它分区被修改过 导致刷入伪回锁后卡开机变砖 有root了的步骤跟上面一样 只是从解锁到回锁状态 数据会被强制清楚而已 有资料提前备份好就行了
👍32❤4👏2
一加ACE5至尊版-伪回锁LK 互联网收集,仅做分享 作者酷安:那年夏天的微风 https://github.com/R0rt1z2/fenrir/blob/main/README.md 可以让一加ACE5至尊版 伪回锁使用本机密钥 不懂怎么用的去看酷安 有大把详细的图文教程 使用教程很简单: 先正常解锁BL刷好root, 推荐Kernel SU的LKM模式 进入Fastbootd模式刷入 当前系统版本的LK伪回锁文件 到当前系统槽位(A/B)的LK分区即可 下载: https://pan.quark.cn/s/ab047c38e306 温馨提示: LK伪回锁文件对应系统版本必须正确 除了inut_boot分区以外 其它分区必须全部是官方镜像! 不确定自己有没有刷过过其它分区 可以下个当前系统版本的全量包 用时光荚直接平刷一遍再弄伪回锁 被格机过或者使用过TEE烧录的 就不需要瞎折腾了 你的本机密钥已经没了 很多人…
👍28❤7
🎮 🎮
👍20❤3
🎮 司马懿金标环境反馈 七月初刷的,就这样
👍19❤2
🎮 一加ACE5 就这样
👍13❤4
🎮 红魔 11 S Pro+的环境反馈 有图有真相,就这么简单
👍18❤2
之前放在一起的修改版已经用不了了 没网络的是那个修改版的问题 直接用官方最新版搭配使用就可以了
👍44❤1🤔1
🎮 之前发CFM反馈给我发频道 枪王段位被嘲讽人机局也发 直接去玩三角洲证明含金量🤣
👍31❤3
一加ACE5至尊版伪回锁效果图 刚给人刷的,顺便分享下文件
👍40❤2😇1
Showing the 12 most recent of 50 posts we hold for @Whitelist520. 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.
Citation-graph rank — 75,485 of 1,151,006entries 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.
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 4 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Whitelist 频道 (休息中)” (@Whitelist520), 142,971 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Whitelist520.
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.