Channel
@SSlinbei
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,027subscribers
+202 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002457362474 |
|---|---|
| Type | Channel |
| Username | @SSlinbei |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/SSlinbei |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 10:42 | 6,027 | +40 |
| 14 Aug 2026, 00:46 | 5,987 | +123 |
| 11 Aug 2026, 05:21 | 5,864 | +39 |
| 10 Aug 2026, 05:45 | 5,825 | first reading |
18 posts held, back to 20 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 2 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. It is computed over the 16 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 18 (20 July 2026 – 11 August 2026) |
| Views total | 67,386 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:46 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 7 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.
42 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 97.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 41 | 97.6% | |
| 👍 | 1 | 2.38% |
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 16 of the 18 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 20 July 2026 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.
《阿乐报告》 【老师艺名】：香蕉 【验证老表】：阿乐 【验证时间】：8月 【大概位置】：石狮泰禾 【修车水费】：7P 【联系方式】：个人电报/微信 【身高体重】：165/85 【老师年龄】： 26-28 【紧度套套】：适中带紧（名流） 【人照相似】：人照9.5 【颜值水平】：8.3-8.4分 【凶器罩杯】：B-🐻真 【皮肤身材】：皮肤还可以，在红灯区下略显光滑…身材常年保持苗条型,有点小只马感觉。 【老师态度】：13（石狮一直有回头的老师了，待客比较客气） 【老师缺点】：胸小了点，偶尔有抽烟，课难约，感觉不耐嘟。 【老师优点】：算是颜值很高的服务系老师了，入门帮脱衣服帮洗澡帮擦脚😅，会所红牌退役选手，有会所服务，有🐉（水平很高），口活很顶（有做95项目），没齿感。床上反馈很棒，叫声销魂😍，离我比较近 【老师口活】：14.5分（口得挺久，很舒服，无齿感，有做95项目,专业的就是不一样） 【推荐评分】：13.3分 个人笔记： 1.…
🏖🏖🏖
❤1
女一：@N56565 女二：@王小雨 男一：@林北 男二：@李一恩 男三：@小张 🏖🏖🏖🏖
❤1
第341集《无题》 😌😌😌
❤2
财经网红大集结
《阿乐报告》 【老师艺名】：尼尼 【验证老表】：阿乐 【验证时间】：七月中 【大概位置】：石狮狮标 【修车水费】：8P 【联系方式】：个人电报 【身高体重】：162/85 【老师年龄】：25左右 【紧度套套】：适中带紧（自带的赤尾，最近自来水有点多吖🐸） 【人照相似】：人照11分，做了个睫毛看起来更好看 【颜值水平】：8.5分 【凶器罩杯】：B熊挺，下面垫一点，上面软的，胸型好看，配合身材看起来很美 【皮肤身材】：很白，皮肤保养很好，身材苗条，小只马，腰细，腿细 【老师态度】：16（好兄弟了） 【老师缺点】：有抽烟🚬，没帮洗，下班早，偏瘦。 【老师优点】：颜值顶的，偏网红脸，石狮本地老师前列水平，上妆好看，牙齿很白，身上香香的有气质，皮肤很白，保养很好，课室环境酒店，还有浴缸，沙发边上一排镜子～身材均匀，细腰细腿无最赘肉，小只马，窈窕淑女型，床上反馈的很好，秒人的货，情绪价值非常高，熟了啥都能聊，各种解锁新事项。不催不赶，慢节奏…
❤7
内有彩蛋😄😄😄😄
❤1
《阿乐报告》 【老师艺名】：酒窝 【验证老表】：阿乐 【验证时间】：7月 【大概位置】：晋江 【修车水费】：800 【联系方式】：中介代聊 【身高体重】：168/90出头 【老师年龄】： 25左右轻御姐 【紧度套套】：挺紧的，也可能是头课问题～～（名流水多多套） 【人照相似】：参考第四张照片人照差不多 【颜值水平】：8.4分 【凶器罩杯】：C🐻真，又挺又软又好看 【皮肤身材】：皮肤白嫩，捏起来软软的，身材整体平衡无赘肉 【老师态度】：11（能聊一会） 【老师缺点】：刚下来做这种，会生疏点…之前做商K，简单三件套 【老师优点】：颜值好看，肤白貌美，综合硬件条件都很好。有帮洗，口活一般，床上反馈优秀.好像有开🐍……但我没试就结束了😭 【老师口活】：10分（中规中矩，无齿感，但口起来总感觉会隔一下，） 【推荐评分】：13.2分 个人笔记： 1.根据看照各方面经验来讲，这个包不会坑的，所以提前直接转U过去了😂 ，约的头课，勇往直前。 …
❤7👍1
😂😂😂 挺好玩
❤1
再更新一集😂😂😂
第340集 《掐指一算，明天🛫》
😎😎😎
❤1
Showing the 12 most recent of 18 posts we hold for @SSlinbei. 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 — 31,667 of 1,548,671entries 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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“阿乐的资源宝库” (@SSlinbei), 6,027 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/SSlinbei.
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.