兄弟们皮肤号也加了尽量奔放!客服一直在!
👍6❤1

Channel
@luoye8879
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
59,598subscribers
-20,421 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002359183755 |
|---|---|
| Type | Channel |
| Username | @luoye8879 |
| Description | 百度搜索:落叶数据号 永久导航地址:13.al 一手号商 长期稳定 24小时在线秒回售后! 诚信第一 做好品质 3年老品牌 感谢兄弟们支持和信任 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/luoye8879 |
Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 34% 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 |
|---|---|---|
| 18 Sept 2026, 06:01 | 59,598 | -242 |
| 15 Sept 2026, 21:58 | 59,840 | -340 |
| 14 Sept 2026, 03:00 | 60,180 | -220 |
| 12 Sept 2026, 07:38 | 60,400 | -334 |
| 10 Sept 2026, 04:16 | 60,734 | -2,041 |
| 6 Sept 2026, 18:59 | 62,775 | -203 |
| 4 Sept 2026, 05:37 | 62,978 | -174 |
| 2 Sept 2026, 18:05 | 63,152 | -184 |
| 1 Sept 2026, 17:24 | 63,336 | -219 |
| 31 Aug 2026, 16:35 | 63,555 | -203 |
| 30 Aug 2026, 18:23 | 63,758 | -487 |
| 29 Aug 2026, 15:28 | 64,245 | -62 |
| 28 Aug 2026, 18:42 | 64,307 | -118 |
| 27 Aug 2026, 20:13 | 64,425 | -33 |
| 26 Aug 2026, 21:24 | 64,458 | -30 |
| 25 Aug 2026, 19:47 | 64,488 | -100 |
| 24 Aug 2026, 20:18 | 64,588 | -186 |
| 23 Aug 2026, 03:28 | 64,774 | -540 |
| 21 Aug 2026, 14:29 | 65,314 | -3,659 |
| 20 Aug 2026, 12:46 | 68,973 | first reading |
82 posts held, back to 26 July 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 116 pages of 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 28 September 2026 |
|---|---|
| Posts held | 82 (26 July 2026 – 28 September 2026) |
| Views total | 41,274 |
| Reactions total | 496 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 04:24 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 29 September 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.
Measured directly from 1 video 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.
1,131 reactions across 80 posts, in 18 distinct kinds. The most used accounts for 64.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 732 | 64.7% | |
| ❤ | 152 | 13.4% | |
| 😍 | 61 | 5.39% | |
| 🤡 | 38 | 3.36% | |
| 😱 | 34 | 3.01% | |
| 🤔 | 32 | 2.83% | |
| 😭 | 15 | 1.33% | |
| 😁 | 14 | 1.24% | |
| 🤩 | 12 | 1.06% | |
| 🤯 | 11 | 0.973% | |
| 🍌 | 8 | 0.707% | |
| 🌚 | 7 | 0.619% | |
| 👏 | 5 | 0.442% | |
| 👌 | 2 | 0.177% | |
| 🔥 | 2 | 0.177% | |
| 🤓 | 2 | 0.177% | |
| 🥰 | 2 | 0.177% | |
| 🥴 | 2 | 0.177% |
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 80 of the 82 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 1,131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 82 most recent posts we hold, published 26 July 2026 to 28 September 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.
兄弟们皮肤号也加了尽量奔放!客服一直在!
👍6❤1
👑兄弟们卡网老版本授权库存拉满了👑 😃😃唯一不需要任何防冻结! 🥇老品牌高信誉高质量源头 📩💵卡网: https://www.luoyew.net/shop/luoye8 📩💵卡网: https://www.luoyew.net/shop/luoye8 🔗授权地址: wx.luoyew.net ✅小白使用教程: doc.luoyew.net ➡️HP/老版本授权号价格低/授权时长一个月以上 🚨HP/老版本无限授权号/不冻结/不鉴别/不人脸/退游老号/无需任何防冻结工具 🖥上号器/清理/老版本QQ: https://drive.uc.cn/s/d25993f492654 🥰🥰🥇新客服:@luoye_kf 🛡86/双向用户都可以联系此TG客服
👍8❤2
兄弟们卡网老版本库存拉满了!敬请奔放兄弟们!10月1在给你们发福利!老版本质量非常高!无限授权始祖兄弟们!
👍9❤3😁3
反馈,刚好想玩地铁就买到了地铁满级的账号。我都快从你们这里买了30多个数据号,都很质量。我是在闲鱼接和平精英单子的,所以经常买数据号。
👍8❤3
nbnb可以很质量
👍7
Photo, posted without a caption
👍7
👑兄弟们卡网老版本授权库存拉满了👑 😃😃唯一不需要任何防冻结! 🥇老品牌高信誉高质量源头 📩💵卡网: https://www.luoyew.net/shop/luoye8 📩💵卡网: https://www.luoyew.net/shop/luoye8 🔗授权地址: wx.luoyew.net ✅小白使用教程: doc.luoyew.net ➡️HP/老版本授权号价格低/授权时长一个月以上 🚨HP/老版本无限授权号/不冻结/不鉴别/不人脸/退游老号/无需任何防冻结工具 🖥上号器/清理/老版本QQ: https://drive.uc.cn/s/d25993f492654 🥰🥰🥇新客服:@luoye_kf 🛡86/双向用户都可以联系此TG客服
👍8❤1
落叶数据号牛逼
👍24😱6❤4
老版本10级以上低至2块钱!学生党们也可以玩上!顺便看看老版本质量!频道老客户都知道老版本的质量的!无限授权始祖
👍15❤3😍3
卡网加了免费账号!100%能玩直登和授权号都有哈,祝兄弟们中秋快乐🎑 【已抢光!已抢光】 https://www.luoyew.net/shop/luoye8
👍12❤4😍4👏3
兄弟们老版本无限授权加货了,无限授权初代版本!质量非常高!顶级授权!
👍13❤3😍3
👑兄弟们卡网老版本授权库存拉满了👑 😃😃唯一不需要任何防冻结! 🥇老品牌高信誉高质量源头 📩💵卡网: https://www.luoyew.net/shop/luoye8 📩💵卡网: https://www.luoyew.net/shop/luoye8 🔗授权地址: wx.luoyew.net ✅小白使用教程: doc.luoyew.net ➡️HP/老版本授权号价格低/授权时长一个月 🚨HP/老版本无限授权号/不冻结/不鉴别/不人脸/退游老号/无需任何防冻结工具 🖥上号器/清理/老版本QQ: https://drive.uc.cn/s/d25993f492654 🥰🥰🥇新客服:@luoye_kf 🛡86/双向用户都可以联系此TG客服
👍12😍3🍌2❤1
Showing the 12 most recent of 82 posts we hold for @luoye8879. 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.
@luoye8879 edited 3 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.
Named by 3 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“落叶数据号【高质量首选💯】” (@luoye8879), 59,598 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/luoye8879.
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.