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Channel

Whitelist 频道 (休息中)

@Whitelist520

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

156,810subscribers

+15,379 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001846470470
TypeChannel
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😔
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 October 2026
Measurements held39
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/Whitelist520

Topic

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.

Growth

141,431156,810149,120.57 August 2026 — 141,431 subscribers7 August 2026 — 141,431 subscribers7 August 2026 — 141,458 subscribers8 August 2026 — 141,792 subscribers9 August 2026 — 142,173 subscribers10 August 2026 — 142,412 subscribers11 August 2026 — 142,648 subscribers12 August 2026 — 142,971 subscribers13 August 2026 — 143,172 subscribers14 August 2026 — 143,672 subscribers16 August 2026 — 144,133 subscribers17 August 2026 — 144,511 subscribers18 August 2026 — 144,740 subscribers19 August 2026 — 145,058 subscribers20 August 2026 — 145,439 subscribers21 August 2026 — 145,673 subscribers23 August 2026 — 146,006 subscribers24 August 2026 — 146,434 subscribers25 August 2026 — 146,664 subscribers26 August 2026 — 146,975 subscribers27 August 2026 — 147,219 subscribers28 August 2026 — 147,360 subscribers29 August 2026 — 147,764 subscribers30 August 2026 — 148,197 subscribers31 August 2026 — 148,498 subscribers1 September 2026 — 148,716 subscribers2 September 2026 — 148,937 subscribers3 September 2026 — 149,156 subscribers6 September 2026 — 149,600 subscribers9 September 2026 — 150,240 subscribers11 September 2026 — 150,404 subscribers13 September 2026 — 150,972 subscribers15 September 2026 — 151,167 subscribers17 September 2026 — 151,419 subscribers26 September 2026 — 152,709 subscribers4 October 2026 — 154,999 subscribers9 October 2026 — 155,669 subscribers13 October 2026 — 156,544 subscribers14 October 2026 — 156,810 subscribers7 August 202614 October 2026
39 measurements spanning 68 days, net +15,379. 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”. The vertical axis spans 139,124–159,117 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 39
Measured (UTC)SubscribersChange
14 Oct 2026, 16:54156,810+266
13 Oct 2026, 09:59156,544+875
9 Oct 2026, 06:37155,669+670
4 Oct 2026, 16:19154,999+2,290
26 Sept 2026, 13:37152,709+1,290
17 Sept 2026, 08:39151,419+252
15 Sept 2026, 07:42151,167+195
13 Sept 2026, 15:56150,972+568
11 Sept 2026, 21:57150,404+164
9 Sept 2026, 14:58150,240+640
6 Sept 2026, 03:56149,600+444
3 Sept 2026, 22:02149,156+219
2 Sept 2026, 13:13148,937+221
1 Sept 2026, 11:15148,716+218
31 Aug 2026, 09:17148,498+301
30 Aug 2026, 09:12148,197+433
29 Aug 2026, 10:32147,764+404
28 Aug 2026, 12:22147,360+141
27 Aug 2026, 10:27147,219+244
26 Aug 2026, 13:53146,975first reading

Engagement

322 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 143 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.05%
avg views ÷ 156,810 subscribers
Avg views / post
6,360
171 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
172
of 322 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 October 2026
Posts held322 (7 August 2026 – 15 October 2026)
Views total1,086,707
Reactions total13,074
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Oct 2026, 01:03 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

Photos
≈10,300
Videos
≈432
Links
≈350

Lifetime counters from Telegram’s own channel header, read 15 October 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.

Video runtime
1h 41m
Average length
12m 39s

Measured directly from 8 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.

Reaction mix

22,019 reactions across 318 posts, in 35 distinct kinds. The most used accounts for 87.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍19,24987.4%
❤2,0219.18%
🤔1540.699%
😱1170.531%
🤪640.291%
🤓620.282%
🔥480.218%
😍350.159%
🕊330.15%
😭270.123%
🥰250.114%
🙉200.091%
😇160.073%
👏150.068%
😁150.068%
🤩150.068%
💋140.064%
🤨130.059%
🌚100.045%
😨100.045%
15 further kinds560.254%

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 319 of the 322 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 22,019 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 322 most recent posts we hold, published 7 August 2026 to 15 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
1
of 319 we hold a reading for · 0.3%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Whitelist520. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 322 most recent posts we hold for this entry, published 7 August 2026 to 15 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

15 Oct 2026, 00:52 UTC320 views46 reactionsread 15 October 2026
File

别碰无障碍_1.0.3 作用: Hook系统框架阻止应用读取无障碍 只需Hook系统框架 不Hook其它应用/游戏 鉴定安全,放心使用 #xp模块

👍44❤2

14 Oct 2026, 23:09 UTC≈1,680 views25 reactionsread 15 October 2026
File

MapAdKiller 高德 / 百度 / 腾讯地图 去广告模块 针对国内三大地图的开屏广告 首页运营横幅、信息流广告卡 第三方广告 SDK 做确定性拦截 所有 hook 点均来自对目标 APK 的静态逆向分析 功能: 高德地图:开屏广告(强制走自家 NO_SPLASH 收尾路径,不卡启动)、实时广告拉取、首页轮播 Banner、后台推送运营弹窗、搜索页模板开屏、AJX 首页联动广告数据 百度地图:开屏广告(Native/OpenAPI/Push 三渠道全灭)、聚合层 6 家 ADN 加载器(聚量/GroMore/美数/章鱼/趣盟/推荐位)、悬浮运营黄条("做任务领现金"类)、首页中部横幅、BMAd 开放封装 (注意!百度地图由于广告预加载原因,会在开屏页面停留,此时点击返回键即可进入主页!) 腾讯地图:广点通 GDT SDK 初始化(initWith=false,连带 tangramsplash / 融合 SDK 全部…

👍23❤2

14 Oct 2026, 23:07 UTC≈1,670 views31 reactionsread 15 October 2026
File

GlobalKit TikTok 国际版区域伪装 LSPosed / LSPatch 模块,开箱即用 功能: 伪装以下设备环境信息以绕过 TikTok 区域限制: SIM 国家码 — 切换至目标地区运营商识别 网络国家码 — 模拟目标区域网络归属 运营商名称/编号 — 伪造运营商身份 系统语言 — 自动切换为区域对应语言 系统时区 — 同步目标区域时间 GPS 经纬度 — 伪装地理位置坐标 使用步骤: 安装 LSPosed 或 LSPatch 启用模块并勾选 TikTok 在模块设置中选择目标地区 清除 TikTok 数据后重新打开 净化页面元素 #xp模块

👍27❤4

14 Oct 2026, 23:05 UTC≈1,540 views24 reactionsread 15 October 2026
File

重活一世我要拿回属于我的一切!

👍23❤1

14 Oct 2026, 23:03 UTC≈1,390 views24 reactionsread 15 October 2026
File

ONextBox ONextBox 是一款基于 Root 与 Modern Xposed 的 ColorOS 系统优化与扩展工具箱 让系统定制更自由,让日常体验更顺手 更新日志: 新增互传相关功能,支持解除“所有人”10 分钟限制 新增原生音量面板 新增解除截图录屏限制 新增大号网络类型图标,支持跟随系统字体、粗体及仿原生图标包,涵盖 25 种网络类型 尝试修复并优化全天息屏显示兼容性 尝试修复并优化网页跟随默认浏览器的查询与 Hook 兼容性 优化提醒缺失作用域的“打开 LSPosed”按钮 优化重启作用域弹窗,清理无效作用域 修复指纹按压期间人脸先认证成功时,无法正常进入桌面的问题 修复应用列表遗漏冻结、停用应用的问题 修复批量通知管理底部按钮的层级与背景透明问题 修复正式版与 Beta 更新日志获取 完善 Beta 更新规则,支持 Beta1、Beta2 等版本排序,同版本正式版优先于 Beta #xp模块

👍20❤4

14 Oct 2026, 22:59 UTC≈1,430 views28 reactionsread 15 October 2026
File

TeleVip-电报增强模块 简介: 这是TeleVIP模块的分支 为Telegram添加高级功能 隐私保护和广告拦截功能 功能: 隐藏“已查看”状态 发送消息后或点击反应后,将消息标记为已读 隐藏正在输入... 隐藏 '电话' 号码 隐藏 '在线' 状态 禁用 故事 显示已删除的消息 显示消息ID 保存消息编辑历史 下载速度加速 启用秘密媒体保存 防止删除秘密媒体 启用保存故事 隐藏置顶消息 禁用频道滑动返回 禁用个人资料滑动返回 隐藏代理赞助商 移除内容保存限制 启用 Telegram 本地会员 禁用数字四舍五入 隐藏应用更新 隐藏 TL Error 适配客户端: Telegram、Nekogram、Nagram、Cherrygram、Mercurygram、Forkgram Classic、Forkgram、Nekogram X、Telega、TG Connect、Turrit、X Plus、iMe、Nicegram…

👍26❤2

14 Oct 2026, 22:56 UTC≈1,410 views28 reactionsread 15 October 2026
File

ColorOS Mod - ColorOS增强模块 模拟 Flyme 体验 增加某 Tool 没有的 需要主动定制的功能和界面问题 功能介绍:点击查看 #xp模块

👍27❤1

14 Oct 2026, 22:48 UTC≈1,480 views27 reactionsread 15 October 2026
File

全局机型模拟-华为 Mate 90 Pro Max 更详细的机型伪装 群友真机提取提供 主播制作分享,就这样 其实还能模拟的参数更多 但是大多设备系统有限制 部分数据无法模拟,会卡开机 一模拟就会卡开机,所以剔除了 #Magisk模块

👍26❤1

14 Oct 2026, 22:43 UTC≈1,490 views31 reactionsread 15 October 2026
File

全局机型模拟-华为 Mate 90 Rs 非凡大师 这台也贵,华为不坑穷人 #Magisk模块

👍31

14 Oct 2026, 22:38 UTC≈1,510 views29 reactionsread 15 October 2026
File

全局机型模拟-iQOO Pad Ultra #Magisk模块

👍29

14 Oct 2026, 22:34 UTC≈1,580 views34 reactionsread 15 October 2026
File

全局机型模拟-荣耀 Magic 9 Pro Max #Magisk模块

👍34

Showing the 12 most recent of 322 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.

Posts edited after publishing

@Whitelist520 edited 2 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.

First edit seen
19 August 2026
Most recent edit
20 August 2026

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 5 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.

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“Whitelist 频道 (休息中)” (@Whitelist520), 156,810 subscribers as measured 14 October 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.