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Channel

软软的小窝

@Ruanruan9688

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,826subscribers

-73 since we began measuring on 23 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003376795432
TypeChannel
Username@Ruanruan9688
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded23 August 2026
Last confirmed live17 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/Ruanruan9688

Topic

Education — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

1,7711,8991,83523 August 2026 — 1,899 subscribers25 August 2026 — 1,836 subscribers28 August 2026 — 1,776 subscribers31 August 2026 — 1,771 subscribers4 September 2026 — 1,797 subscribers9 September 2026 — 1,809 subscribers13 September 2026 — 1,856 subscribers17 September 2026 — 1,826 subscribers1,82623 August 202617 September 2026
8 measurements spanning 25 days, net -73. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,752–1,918 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 23:561,826-30
13 Sept 2026, 09:591,856+47
9 Sept 2026, 07:411,809+12
4 Sept 2026, 06:391,797+26
31 Aug 2026, 11:341,771-5
28 Aug 2026, 03:581,776-60
25 Aug 2026, 00:281,836-63
23 Aug 2026, 13:301,899first reading

Engagement

19 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.35%
avg views ÷ 1,826 subscribers
Avg views / post
116
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 19 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 August 2026
Posts held19 (30 July 202623 August 2026)
Views total232
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Aug 2026, 13:30 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.

What this channel posts

Video runtime
30s
Average length
10s

Measured directly from 3 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.

Reaction mix

14 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1071.4%
🥰321.4%
🤩17.14%

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 8 of the 19 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 30 July 2026 to 23 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.

Recent posts

22 Aug 2026, 12:36 UTC299 views1 reactionsread 23 August 2026
Photo

谢谢宝宝送的🎁 是我的心尖🎁啊🥰

1

12 Aug 2026, 11:43 UTC924 views1 reactionsread 23 August 2026
Forwarded from @hzxsh_report

杭州学生会:https://t.me/students_union 【出击老师】:软软 【出击留名】:阿亦 【出击时间】:2026-08-08 【大概位置】:彭埠 【修车水费】:800p 【高端服务】:课表有的都有情绪价值不错👍 【人照相似】:9.2 【身高身材】:胸软软的 屁股很有感觉 【胸器罩杯】:可能快来了姨妈了 有B+ 【湿度紧度】:很湿 !很紧!很会夹!! 【课室环境】:10 【个人卫生】:10 【时间管理】:时间宽裕 不催⏰ 可以聊天培养感情这点很不错 【服务点评】:很听话 什么姿势都会努力配合 【推荐程度】:9 【流程细节】: 关注软软很久了 一直没时间,今天好不容易休息,立马出击,到了遥控上楼,开门第一眼,没踩雷,人照一致,交了水费,随后坐在沙发上休息一下,摸了摸老师的腿,又摸了一下胸有B多一点吧,软软还给我递水喝,有冰的有常温的问我喝那个,很不错👍聊了一会天,差不多一起去洗漱,洗完之后去房间,开始正事,直接

1

11 Aug 2026, 13:48 UTC792 views2 reactionsread 23 August 2026

杭州御女阁出击报告模板: https://t.me/hangzhou_777 评分标准: 9分-优秀 【老师艺名】:软软 【联系方式】:@Ruanruan108 【老师芳邻】:18 【验证留名】:@henfan12 【出击时间】:8月11日 【大概位置】:上城 【出击水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似程度9,颜值顶,气质/穿搭时尚 【身高身材】:身高腿长160,无纹身,皮肤白手感滑 【凶器罩杯】:胸型大小b,乳头颜色粉,整体手感软 【湿度紧度】:比比户型颜色粉,紧,周围毛量正常 【环境细节】:交通方便,房间整洁 【个人卫生】不抽烟,有漱口水/牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务总结】:服务到位,无少做,过程无机车 【推荐程度】:9分 【流程小文】:文采在

2

11 Aug 2026, 04:17 UTC595 viewsread 23 August 2026

今天晚点开课哦 😍头课还在哦~❤️可预约啦😶😶😶

11 Aug 2026, 02:57 UTC713 viewsread 23 August 2026

杭州御女阁出击报告模板: https://t.me/hangzhou_777 评分标准: 6分-差 7分-及格 8分-良好 9分-优秀 10分-极品 【老师艺名】:#软软 【联系方式】:@Ruanruan108 【老师芳邻】:20左右 【验证留名】:notion 【出击时间】:8月10日 【大概位置】:东站 【出击水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 🈶 ② 69舔逼 🈶 ③ 情绪价值 🈶 【人照相似】:9分 嫩妹 学生气 【身高身材】:160 80 【凶器罩杯】:a吧,粉嫩,匈奴人不建议哈哈哈 【湿度紧度】:粉嫩 湿润 【环境细节】:整洁 【个人卫生】:没看到,有一次性用品 【时间管理】:宽松 【服务总结】:脆皮嫩妹,三件套 【推荐程度】:9分,值得二刷 【流程小文】:看到软软有竞拍,直接拿下,心心念念的。当天有事,第二天直接出击!到了之后遥控上楼,进门后,第一印象就是

10 Aug 2026, 03:35 UTC717 viewsread 23 August 2026
Photo

可以约课啦‼️‼️👓 点这里直接联系 👇👇👇 @Ruanruan108

Showing the 12 most recent of 19 posts we hold for @Ruanruan9688. 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.

Forward network

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.

Mentions

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.

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.

Cite this entry

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 September 2026 — this entry's latest reading, not the date you are reading this.

“软软的小窝” (@Ruanruan9688), 1,826 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Ruanruan9688.

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.