☀️☀️☀️广告位☀️☀️☀️8.12 🎮王者Angel无敌公益算法解密内核 💻支持CPU渲染后端 安卓16以下推荐使用 😁纯算法解密 无视任何检测 ❌如果内存解密作者死全家 ❌如果内置端口作者死全家 ⭐卡密:@Angletwt ✉️作者 @Jinang_Hello 🔝更新频道 https://t.me/angel_kernel ☀️☀️☀️广告位☀️☀️☀️ Tips :广告内容与本人与频道无关,若有任何诈骗,欺诈或其他违法行为,请联系我删除
👍17

Channel
@orangeback
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
130,631subscribers
-466 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002029874166 |
|---|---|
| Type | Channel |
| Username | @orangeback |
| Created | 30 December 2023 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/orangeback |
Gaming — 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 51% 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, 22:07 | 130,631 | -128 |
| 11 Aug 2026, 22:43 | 130,759 | -57 |
| 11 Aug 2026, 01:32 | 130,816 | -87 |
| 10 Aug 2026, 01:51 | 130,903 | -70 |
| 9 Aug 2026, 01:30 | 130,973 | -66 |
| 8 Aug 2026, 04:21 | 131,039 | -58 |
| 7 Aug 2026, 11:15 | 131,097 | first reading |
8 posts held, back to 30 December 2023 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 19 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 11 August 2026 |
|---|---|
| Posts held | 8 (30 December 2023 – 11 August 2026) |
| Views total | 4,884 |
| Reactions total | 67 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 20:27 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 2 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.
100 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 73.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 73 | 73.0% | |
| 👎 | 27 | 27.0% |
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 8 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 100reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 30 December 2023 to 11 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.
☀️☀️☀️广告位☀️☀️☀️8.12 🎮王者Angel无敌公益算法解密内核 💻支持CPU渲染后端 安卓16以下推荐使用 😁纯算法解密 无视任何检测 ❌如果内存解密作者死全家 ❌如果内置端口作者死全家 ⭐卡密:@Angletwt ✉️作者 @Jinang_Hello 🔝更新频道 https://t.me/angel_kernel ☀️☀️☀️广告位☀️☀️☀️ Tips :广告内容与本人与频道无关,若有任何诈骗,欺诈或其他违法行为,请联系我删除
👍17
☀️☀️☀️广告位☀️☀️☀️9.5 Fuzz Cheat codev project.🫥 无畏契约手游公益内核项目 由PC DMA项目完美移植至安卓平台内核项目 重新定义内核新高度.🏆 绘制流畅不拖不卡不延迟 算法坐标解密 搭配高度自定义调节的绘图极致丝滑享受 独家描边上色功能 ✈️ 漏打支持识别霓虹 火男 蝰蛇 海神 保安烟墙 排位全地图模型支持 独家判断逻辑 自瞄采用DMA项目同款算法移动方案 适配弹道算法 效果相当出色 解析枪械弹道算法 曲线移动逻辑 端游同款伪无扩 功能完善繁多 道具点位功能逻辑完善 智能识别对局状态 识别使用技能 支持全图2000+点位记录🏆 目前开放公益卡密加入频道获取: t.me/FuzzPD 唯一官方频道: @FuzzPD 😀 ☀️☀️☀️广告位☀️☀️☀️ Tips :广告内容与本人与频道无关,若有任何诈骗,欺诈或其他违法行为,请联系我删除
👍16
☀️☀️☀️广告位☀️☀️☀️8.14 ⚠️新赛季上分必备所以给大家推荐款平时自己上分用的辅助🤩 🫰和平精英赛季主流内核🫰🔤🔤🔤尊享版 全网两个9000分战神🀄️ ✅止痛药采用硬件断点追踪以及无模块陀螺仪自瞄✔️ (仅兼容5-6系所有设备) 😂推荐普通ksu或者AP面具😂 ❤️绘制极致丝滑流畅不卡顿 支持坐标解密以及数组 解密 拥有安全区信息以及头甲包绘制功能还拥有战斗模式 开启后隐藏部分绘图 😙驱动为独家驱动 稳定性杠杠的 源码非市场烂大街源码😙 漏打采用模型漏打不动任何内存 人物绘制可自定义颜色 👍 ❤️追踪极致优化 开镜 腰射 喷子 狙击 弓箭 可调概率以及单独调节范围圈 有【烟雾过滤】【载具不追】【掉血追踪】 ❤️追踪部位可选 1.头部 2.胸部3.臀部指哪打哪 5.权重(设置追踪概率部位) ❤️陀螺仪自瞄为行业最先进的无模块陀螺仪自瞄写法 ❤️自瞄极致优化 全陀螺仪玩家 键鼠玩家 手搓玩家 自瞄拥有两种模式可调…
👍6
☀️☀️☀️广告位☀️☀️☀️8.12 🎮王者Angel无敌公益算法解密内核 💻支持CPU渲染后端 安卓16以下推荐使用 😁纯算法解密 无视任何检测 ❌如果内存解密作者死全家 ❌如果内置端口作者死全家 ⭐卡密:@Angletwt ✉️作者 @Jinang_Hello 🔝更新频道 https://t.me/angel_kernel ☀️☀️☀️广告位☀️☀️☀️ Tips :广告内容与本人与频道无关,若有任何诈骗,欺诈或其他违法行为,请联系我删除
👍14
☀️☀️☀️广告位☀️☀️☀️9.5 Fuzz Cheat codev project.🫥 无畏契约手游公益内核项目 由PC DMA项目完美移植至安卓平台内核项目 重新定义内核新高度.🏆 绘制流畅不拖不卡不延迟 算法坐标解密 搭配高度自定义调节的绘图极致丝滑享受 独家描边上色功能 ✈️ 漏打支持识别霓虹 火男 蝰蛇 海神 保安烟墙 排位全地图模型支持 独家判断逻辑 自瞄采用DMA项目同款算法移动方案 适配弹道算法 效果相当出色 解析枪械弹道算法 曲线移动逻辑 端游同款伪无扩 功能完善繁多 道具点位功能逻辑完善 智能识别对局状态 识别使用技能 支持全图2000+点位记录🏆 目前开放公益卡密加入频道获取: t.me/FuzzPD 唯一官方频道: @FuzzPD 😀 ☀️☀️☀️广告位☀️☀️☀️ Tips :广告内容与本人与频道无关,若有任何诈骗,欺诈或其他违法行为,请联系我删除
👍9
☀️☀️☀️广告位☀️☀️☀️8.14 ⚠️新赛季上分必备所以给大家推荐款平时自己上分用的辅助🤩 🫰和平精英赛季主流内核🫰🔤🔤🔤尊享版 全网两个9000分战神🀄️ ✅止痛药采用硬件断点追踪以及无模块陀螺仪自瞄✔️ (仅兼容5-6系所有设备) 😂推荐普通ksu或者AP面具😂 ❤️绘制极致丝滑流畅不卡顿 支持坐标解密以及数组 解密 拥有安全区信息以及头甲包绘制功能还拥有战斗模式 开启后隐藏部分绘图 😙驱动为独家驱动 稳定性杠杠的 源码非市场烂大街源码😙 漏打采用模型漏打不动任何内存 人物绘制可自定义颜色 👍 ❤️追踪极致优化 开镜 腰射 喷子 狙击 弓箭 可调概率以及单独调节范围圈 有【烟雾过滤】【载具不追】【掉血追踪】 ❤️追踪部位可选 1.头部 2.胸部3.臀部指哪打哪 5.权重(设置追踪概率部位) ❤️陀螺仪自瞄为行业最先进的无模块陀螺仪自瞄写法 ❤️自瞄极致优化 全陀螺仪玩家 键鼠玩家 手搓玩家 自瞄拥有两种模式可调…
👍5
📢 橘子广告合作招募 可提供以下广告资源: 🤖 驱动机器人私信广告 活跃用户 3.8W+ 机器人使用用户可收到 广告私信 📣 通知频道 + 群组 总用户 24.7W+ 💬 反馈频道 + 群组 总用户 22.6W+ ✉️ 合作联系: @guang8886667 发送 广告内容或广告类型 即可洽谈。 ❗ 不接受:黑产 / 社工 / 等不良产业
👎27👍6
Channel created
Showing the 8 most recent of 8 posts we hold for @orangeback. 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 — 759,447 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.
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.
@orangeback named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
“橘子专属反馈频道” (@orangeback), 130,631 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/orangeback.
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.