Telegram RegisterThe public register of Telegram

Channel

江南の资源频道

@LFIA200

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

20,558subscribers

+1,018 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003504863306
TypeChannel
Username@LFIA200
Description温暖组织 资源汇聚 推荐项目😋 ———来了就是兄弟——— 频道汇聚了市面上绝大部分: 《内核频道》《端口频道》 《驱动频道》《清理文件》 《玩机模块》《搞机频道》 在置顶导航栏查看并获取资源 及推荐解密项目供兄弟们参考 注:该频道永久中立不诋毁评价任何项目 只陈述事实:和谐 特征 拉闸 拉闸时长等 如有冒犯舆论网报等,请联系我删除信息 广告联系: @LFIA2000 推荐频道:https://t.me/GJN001 内核交流: https://t.me/GJN004
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/LFIA200

Growth

19,54020,55820,0498 August 2026 — 19,540 subscribers8 August 2026 — 19,610 subscribers9 August 2026 — 19,891 subscribers10 August 2026 — 20,092 subscribers11 August 2026 — 20,322 subscribers12 August 2026 — 20,558 subscribers8 August 202612 August 2026
6 measurements spanning 4 days, net +1,018. 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 19,387–20,711 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 21:0320,558+236
11 Aug 2026, 18:3720,322+230
10 Aug 2026, 19:1320,092+201
9 Aug 2026, 19:4119,891+281
8 Aug 2026, 19:2119,610+70
8 Aug 2026, 10:0019,540first reading

Engagement

47 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.2%
avg views ÷ 20,558 subscribers
Avg views / post
4,360
47 posts measured
Reaction rate
0.391%
reactions ÷ views · ER floor
Posts in window
47
of 47 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 46 of 47 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 12 August 2026
Posts held47 (5 August 202612 August 2026)
Views total204,854
Reactions total777
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 23:22 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

Photos
321
Videos
29
Links
316

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. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

777 reactions across 46 posts, in 18 distinct kinds. The most used accounts for 71.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍55871.8%
10713.8%
👎455.79%
🖕91.16%
🥰81.03%
🤡70.901%
🤬70.901%
👏60.772%
🤪60.772%
🗿40.515%
😁40.515%
🤣40.515%
❤‍🔥30.386%
🔥20.257%
😭20.257%
😱20.257%
🤩20.257%
🤔10.129%

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 47 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 777reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 47 most recent posts we hold, published 5 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.

Recent posts

12 Aug 2026, 18:15 UTC≈1,040 views19 reactionsread 12 August 2026

是不是很容易懂🍟

👍10🤬72

Signed Mr. Ge

12 Aug 2026, 17:52 UTC≈1,170 views27 reactionsread 12 August 2026
File

😀更新内容很多且复杂 👋主包用大白话讲解: 1.从内核层模拟TEE正常改为硬件层模拟TEE正常 2.自动生产匹配系统的 AOSP认证 3.增加模块调试界面,可自定义分配给每个软件 4.校验你的的key密钥,是否跟系统匹配 5.默认补丁模式会生成一个系统密钥证书 并与你替换的密钥证书里面的验证信息结合 6.存放key密钥地址变成:/data/adb/teesim/keybox.xml 🍟视频讲解:https://v.douyin.com/xU1p2YEg6B8 游戏环境交流专区 游戏环境交流专区

👍19🖕32👏1🔥1😁1

Signed Mr. Ge

12 Aug 2026, 16:37 UTC954 views13 reactionsread 12 August 2026
Forwarded from @enennbaFile

添加内核陀螺仪自瞄 自瞄水平速度跟垂直速度要保持一致,跳屏速度调低,跟不上速度调高 打头皮压枪力度调高,相反则调低 添加physx地图模型掩体判断,开启后自瞄自动实现漏打功能,漏那打那( 模型掩体判断,会占用设备大量性能,手机发烫,性能跟不上的不要开) 公益三角洲解密项目,卡密随便输入,已更新至8.12日最新解密,内核级驱动,不协议,不十年,不三十天,稳定得吃,安全性拉满 不嘿嘿频道: @enennba

👍112

Signed 不嘿嘿 hei

12 Aug 2026, 15:59 UTC≈1,250 views28 reactionsread 12 August 2026
Forwarded from @RUINB7891File

❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 8.12公益解密版本无收费🔥 外面同款模拟解密➕陀螺仪自瞄 功能:人物/物资/透视/陀螺仪自瞄 支持国服 root/虚拟机/云机 ✅方框-射线-距离-自瞄-解密 ✅干员-骨骼-血量-手持 ✅护甲-物资-盒子-预警 ✅使用方法:放到data/adb给777+root ✅Ri公益卡密获取频道 @RUINB7891 ✅Ri公益解密交流群 @RUINB78 ✅新版本gpu为算法 延迟0.2秒左右 不动内存 可打假 支持拆包查看 动内存 死老冯 判断内存最好的方法 用淋雨或者enen同时开 只有内存才不会遁地

👍16👎7🤩21👏1🥰1

Signed Ri主频道🏵

12 Aug 2026, 02:35 UTC≈3,370 views9 reactionsread 12 August 2026
File

最近三角洲内透项目挺火呀,给你们公益一款内透玩吧 使用教程:进apk里下载shizuku,给上root权限授权好应用,登录前加载界面开启,进大厅后在设置里登陆卡密 公益卡密:@hdg669 官方公益频道:@hdg669

4👍4👎1

Signed 海盗狗(公益项目)

11 Aug 2026, 22:19 UTC≈2,140 views12 reactionsread 12 August 2026
Forwarded from @RUINB7891File

📌❗️❗️❗️❗️❗️❗️ ✅绘制:骨骼-方框-距离-血量-头甲-玩家-人机-物资透视-物资价值 ✅自瞄:内核陀螺仪自瞄(枪枪到肉) ✅驱动:纯c tvt par(稳定奔放) ✅解密:采用算法解密不动任何内存 🏪支持服务器:国服 ✔️支持内核版本:全部4~6系 以及虚拟机 🔰欢迎各实力售卡批卡,诚招代理,利润充足(永不跑路) 816卡网对接码 RiNB ⭐提卡地址http://154.8.211.40 👀👀👀 新版本gpu绘制 解决发烫问题 已保留cpu绘制 👀👀👀 陀螺仪自瞄乱晃 👀👀👀 修复人物绘制反转 👀👀👀 新版本gpu为算法 延迟0.2秒左右 不动内存 可打假 支持拆包查看 动内存 死老冯 判断内存最好的方法 用淋雨或者enen同时开 只有内存才不会遁地 官方频道 点击进入 官方频道 点击进入 官方频道 点击进入

🖕5👍32🔥1🥰1

Signed Ri主频道🏵

11 Aug 2026, 22:13 UTC≈3,270 views13 reactionsread 12 August 2026
Photo

第一次看到 这么高级的改文件 原帖 https://t.me/ASGA8/27627

👍85

Showing the 12 most recent of 47 posts we hold for @LFIA200. 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

Citation-graph rank — 270,126 of 1,160,990entries 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.

Forward network

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.

Mentions

Named by 1 registered channel — 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“江南の资源频道” (@LFIA200), 20,558 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/LFIA200.

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.