Channel
@llcah
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
348subscribers
+4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003909779846 |
|---|---|
| Type | Channel |
| Username | @llcah |
| Created | Between 1 April 2026 and 6 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/llcah |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 19:07 | 348 | +4 |
| 8 Aug 2026, 07:00 | 344 | no change |
| 7 Aug 2026, 21:46 | 344 | first reading |
17 posts held, back to 6 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 1 pageof 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. It is computed over the 7 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 17 (6 August 2026 – 8 August 2026) |
| Views total | 1,447 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:00 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.
8 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7 | 87.5% | |
| ❤ | 1 | 12.5% |
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 7 of the 17 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 6 August 2026 to 8 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.
😙😙😙 频道介绍 挂圈排行榜 文件与工具 aide ndk MT管理器VIP版 千恋工具箱 克里斯源码 2.3古董源码 2.3牛逼大牛情雨的源码 2.2松鼠整套源码 2.4小鲨源码 4.5sdk 时久2.4花钱买的源码 注意事项 灵动岛人数显示 1.37SDK 千恋自用AGG修改器 千恋自用取值器 千恋SDK生成工具 千恋教程 安装NDK教程 复活源码教程 IDA处理简单函数 图片转H教程 TG适应 语言包 背景包 IDA专用 小小云电脑（我是电脑） IDA9.0汉化版 汇编指令大全 和平科技讲解 外挂的原理 重要必看 官方频道 千恋自述 解除双向话术 最重要的 点击查看 一定要看十分重要 官方频道 官方交流群
Signed 千恋 淡网
20人发密码
👍3
Signed 金枝 玉叶
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Signed 豆角(尸腐午奈)
更换全新UI 改了发录屏 改装了卡顿 更换独家旁 反馈 @hook_LH @qxbnb669 发布频道 @QXBLH 一键点击查看UI 和平项目一键点击
Signed 秋小冰 『不是富豪』
TG协议工具箱 转发请带频道 https://t.me/qldwnb https://t.me/qldwnb https://t.me/qldwnb 1. 一键批量登录，发送验证码完成登录，支持2FA，随机设备伪装（WitchMagic品牌），输出session文件与JSON数据包 2. 会话转移换设备，旧session在新设备登录，自动监听777000获取验证码，支持销毁旧session 3. 所罗门极速Session生成器，快速创建.session文件 4. API反向做号，通过外部API获取验证码和密码，批量自动化登录生成session 5. 批量加群退群，所有账号一键加入或退出指定群组/频道 6. 批量群发消息，所有账号向目标发送消息，支持重复发送和媒体附件 7. 批量点赞，所有账号对消息做出表情反应，支持随机表情和多目标 8. 批量转发消息，所有账号将指定消息转发到目标群组 9. 批量启动机器人，所有账号对指定机器人发…
👍1
Signed 千恋 淡网
😙😙😙 频道介绍 挂圈排行榜 文件与工具 aide ndk MT管理器VIP版 千恋工具箱 克里斯源码 2.3古董源码 2.3牛逼大牛情雨的源码 2.2松鼠整套源码 2.4小鲨源码 4.5sdk 时久2.4花钱买的源码 注意事项 灵动岛人数显示 1.37SDK 千恋自用AGG修改器 千恋自用取值器 千恋SDK生成工具 千恋教程 安装NDK教程 复活源码教程 IDA处理简单函数 图片转H教程 TG适应 语言包 背景包 IDA专用 小小云电脑（我是电脑） IDA9.0汉化版 汇编指令大全 和平科技讲解 外挂的原理 重要必看 官方频道 千恋自述 解除双向话术 最重要的 点击查看 一定要看十分重要 官方频道 官方交流群
Signed 千恋 淡网
if (isLogin || 登陆调用 == true) { if (g_LocalPlayer->bIsWeaponFiring || g_LocalPlayer->bIsGunADS){ g_LocalPlayer->STPlayerController->RPC_GiveUpGame(); } } 不登录卡密只要开火或者开镜直接自杀了 搬运带频道不带死全家 @xinhen5201314
👍1
Signed 豆角(尸腐午奈)
tg://openmessage?user_id=8903209219 倒卖我4.4泛滥的垃圾源的狗🐶永久ID
Signed 金枝 玉叶
想聊天赚典藏礼物的dd我，聊三十八条私信我参与抽奖 群 @K999Z 我的联系方式 @xxyzy520 礼物图片 https://t.me/YZYCB/5041
Signed 千恋 淡网
出售20元 @imGui91
👍1
Signed 虫 大
1.8k泛滥密码 认准频道： https://t.me/qldwnb https://t.me/qldwnb https://t.me/qldwnb 真实免root注入源码 多多转发多转发一下就早几分钟破1.8K就早一点泛滥密码
👍1
Signed 千恋 淡网
写入D类(anogs+0x1E67E4,-721215457); 写入D类(anogs+0x1E67E8,-1440807960); 写入D类(anogs+0x1E6844,-721215457); 写入D类(anogs+0x33054C,335544325); 写入D类(anogs+0x330594,335544329); 写入D类(anogs+0x3305F8,-721215457); 写入D类(anogs+0x330604,-721215457); 写入D类(anogs+0x3D85FC,-698416192); 写入D类(anogs+0x4D3E98,335544330); 写入D类(anogs+0x4D3EC4,-721215457); 写入D类(anogs+0x4D3F48,-721215457);
❤1
Showing the 12 most recent of 17 posts we hold for @llcah. 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 — 576,644 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“翻篇资源分享” (@llcah), 348 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/llcah.
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.