😂
❤1

Channel
@sslnian
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
283subscribers
+4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002888261323 |
|---|---|
| Type | Channel |
| Username | @sslnian |
| Description | 搜集验证 t.me/sslnian 每日上新 t.me/zjkdong |
| Created | Between 1 June 2025 and 31 August 2025— 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 |
| On Telegram | t.me/sslnian |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 08:30 | 283 | no change |
| 8 Aug 2026, 04:13 | 283 | +4 |
| 7 Aug 2026, 19:43 | 279 | first reading |
18 posts held, back to 28 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 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 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 18 (28 July 2026 – 7 August 2026) |
| Views total | 6,575 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 08:30 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 8 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.
Measured directly from 4 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.
7 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 100.0% |
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 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 7reactions 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 28 July 2026 to 7 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.
😂
❤1
今日开课~174cm55kg🐻36D(纯天然无科技)御姐会夹会吸体验拉满🥳情绪价值拉满🥰 私聊联系 @sifan66 双向联系 @sifan66_bot(红色感叹号联系这个)
写得不错
昨天那篇小红书泡妞长文我给搬运过来了!我真是菩萨🥹说实话讲的真长,但是实战75分吧,下面是原文: 这将会是你读过最有实操价值的小红书恋爱交友教程。 没有理论,全是实战。 疫情之后刚回国,G哥在国内几乎什么人都不认识。那时候小红书就成了认识新朋友的主要渠道。没想到一用就停不下来。 为什么? 因为当时的小红书用户质量确实高。真实女性用户多,照片、生活、消费、圈层都能看出一些信息。相比 Tinder、探探这类男性用户扎堆、骗子横行的平台,小红书的真实度和筛选效率都更高。至于抖音,由于美国 App Store 下载不方便,对横跨中美生活圈的人来说,小红书几乎就是唯一选择。 最开始,G哥也是广撒网,陆陆续续加了几百个。后来发现太泛滥,效率太低,浪费时间,于是开始升级筛选系统。现在基本只看 170+、颜值气质都在线的顶美。 今天就把G哥的实操经验讲透。 先说结论: 小红书不是婚恋市场,而是高颜值女性的二级市场。 大部分人在小红书上找关系,…
❤1
@nannaixi 终于有老师穿这个黑丝出镜了
一切小心谨慎 尽量现金
黑鸦浅谈:"被通过转账记录找到了怎么办?" 大概今年3.4月份的时候我接到派出所电话说有起卖淫嫖娼案跟我有关,让我去XX派出所去配合调查,让我现在就去不然就要给我发书面传唤了。我接到这个电话很慌呐,因为平时确实寻欢作乐次数很多,有时会图方便直接转账,有时候身上现金不够会用部分现金再转账的方法支付,我估摸着是通过转账记录找到我的。我赶紧打电话找了朋友问怎么办,我朋友让我先去,他认识公安里的人回头帮我打个招呼。 到派出所找到刚才打电话给我的民警,他也不说话带我到了一个房间,里面几扇玻璃门隔出几个小房间。民警拿给我一个盒子让我把包括手机在内的东西全放进去,还让我把鞋子的鞋带解了放进去,然后把我锁进一个隔间留下一句好好想想自己去年11月份干了什么我马上给你做笔录就走了。 我听了这话脑袋都要炸了,长这么大就没进过几次派出所,上次来还是打架过来调解的,这再进派出所就直接给我关起来了,当时我处于事业上升期我很怕因为嫖娼…
❤2
时隔一年重新回归的汤圆,硬件条件依旧稳定在线——身高165左右,身材比例匀称,C罩杯,短发干练利落,且坚持无科技纯天然,没有任何人工干预痕迹;本人与照片一致。隔了一年,感觉人妻标签是进一步做实, 越来越有成熟韵味,外形辨识度很高。 汤圆如果用一个词形容, 就是专业。出击无数, 让本学生称为专业的老师应该不多。 这碗饭汤圆吃的很扎实, 叫她一声老师绝对名副其实。 技术上相当过硬,声音有磁性,非常有女人味;口活是一大特色, 汤老师的口不是大口吞咽, 也不是上下速度刷。分阶段分节奏,开始会小鸡啄米,一点点入口,让你充分感受触感,这样来回多次,直到学生已经完全起立。然后某一次就全部吃进去,直接到喉咙,汤老师不累的时候是可以感受到喉咙的收紧的。全程汤老师会和你多次眼神交换,眼神和嘴巴合一。 汤老师下面也是会夹的,做的时候骚话很多,体验感绝对拉满。 如果汤老师哪天去拍片,估计能赚更多。 如果你要找精神小妹, 冷白皮,大长腿,就不用去汤老…
00后小妹妹发育越来越好了,以后东亚贫乳和东亚病夫一样可以摘掉了😂
月月回来咯
调皮的小脚。。。
@wan992
Showing the 12 most recent of 18 posts we hold for @sslnian. 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.
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.
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.
“流年似水” (@sslnian), 283 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/sslnian.
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.