Channel
@ruanqaq6
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
500subscribers
+16 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004307069203 |
|---|---|
| Type | Channel |
| Username | @ruanqaq6 |
| Created | 31 July 2026 — measured — dated from the channel’s first post |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/ruanqaq6 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 16:10 | 500 | +16 |
| 6 Aug 2026, 22:46 | 484 | first reading |
14 posts held, back to 31 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 8 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 14 (31 July 2026 – 6 August 2026) |
| Views total | 8,729 |
| Reactions total | 132 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 22:46 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.
132 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 97.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 129 | 97.7% | |
| 👍 | 3 | 2.27% |
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 14 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 132reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 31 July 2026 to 6 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.
深圳三和修车报告】 https://t.me/sz3hdsrp 【学生留名】：cool 【出击时间】：8/6 【老师名字】：#福田软软 【深圳地区】：#深圳 #福田 #石厦 【出击消费】：600p 【颜值身材】：9 【服务内容】：课表 【上课体验】：特别温柔，做的过程也是有求必应，非常棒，唯一遗憾是好久没出击了，我一个手不停抚摸她干净嫩滑的嫩穴，一会小穴的淫水在我指间流淌，我兴奋的感觉瞬间到达高潮，立马带T提枪和她各种姿势的玩耍，整个过程很投入，开心，超赞啊，态度很棒 【优点缺点】：nice 【老师电报】：私信 @ruanqaq 双向 @ruanqaqbot 【满分打分】：9 【温馨提醒】：报告仅供参考，请理性选择，切勿对号入座
已到位了 欢迎预约 私信 @ruanqaq 双向 @ruanqaqbot
——枫林体验 https://t.me/szflw 上课时间：8/6 老师花名：福田软软 课室位置：#福田 石厦 老师电报：@ruanqaq 颜值身材：9 体验细节：夏日炎炎依旧前往出击，看到老师来了，提前在tg约好老师，按指引找到科室，开门见到老师本人，真人确实很嫩，比照片还好看还年轻，妆后大眼睛很御姐，很瘦筷子腿，基本图片无差别。白羊很热情很好聊，不会尬场，我立刻缴费，寒暄了几句。脱衣冷白皮，毛毛超于常人，有认真陪洗，也有备好一次性浴巾，有漱口水。 首先到床上开始服务，先🐍一会，无烟味很不错，香香软软的，爱抚，简单但是认真细致温柔。后面开始口，口得还不错，有全包和小小拉思感。我赶紧戴套上马，老师逼逼温暖包裹，确实很紧很润，舒服无比。换了几个动作，老师娇喘细雨，非常投入，喇叭很好听，反馈很好，会享受过程，激动时竟然锁我脖子，激动得我猛猛干。最后后入太舒服，猝不及防就射了。让老师继续收拾，我清洗好身体，穿戴好与老师道别。总结：…
😜 omakase 私信 @ruanqaq 双向 @ruanqaqbot
深圳三和修车报告】 https://t.me/sz3hdsrp 【学生留名】：爱泣 【出击时间】：8/4 【老师名字】：#福田软软 【深圳地区】：#深圳 #福田 #石厦 【出击消费】：600p 【颜值身材】：9 【服务内容】：课表 【上课体验】：刚回来 本人很漂亮 身材不错 女友感十足 能给人提供很好的情绪价值相处一晚让我真的觉得像是和女朋友在一起的舒适安心治愈我平时生活中琐事带来的身心压力 性格真的很好 戳我心窝窝出击次数虽不多 但确实是唯一让我走之后有所留恋的 【优点缺点】：nice 【老师电报】：私信 @ruanqaq 双向 @ruanqaqbot 【满分打分】：9 【温馨提醒】：报告仅供参考，请理性选择，切勿对号入座
新衣服是用来讨好自己的 人生也是😝 私信 @ruanqaq 双向 @ruanqaqbot
❤9
——枫林体验 https://t.me/szflw 上课时间：8/4 老师花名：福田软软 课室位置：#福田 石厦 老师电报：@ruanqaq 颜值身材：9 体验细节：遥控指挥上楼，开门后看到老师穿着一身黑色的裙子，身材高挑有型，特别强调的是老师颜值很高，脸蛋小而精致，真的很漂亮，很可爱，很有亲和力，给人一种满满的校园女友的感觉，完全是自己喜欢的类型，然后就急忙交了水费去洗澡了，洗完后出来和老师一起先在床上坐着聊了会儿天，老师很健谈，很爱笑，女友感一整个拉满了简直，从亲吻到舌吻，随着身体慢慢接触，后面直接戴t开始，先是正常体位，后面换了几个姿势老师也都很配合，反应很真实很强烈，真的很有女友的感觉，一直到最后都是意犹未尽的感觉，真的是很难得的妹子，后面有机会还会多来复刷的，也真的十分推荐给兄弟们。 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报…
❤8
深圳三和修车报告】 https://t.me/sz3hdsrp 【学生留名】：lanop 【出击时间】：8/3 【老师名字】：#福田软软 【深圳地区】：#深圳 #福田 #石厦 【出击消费】：600p 【颜值身材】：9 【服务内容】：课表 【上课体验】：遥控上楼，开门之后很惊艳，但是因为熬夜发挥不太好，口完之后一直不太硬，刚硬了没多久就交货了，下次一定好好准备 【优点缺点】：挺好 【老师电报】：@ruanqaq 【满分打分】：9 【温馨提醒】：报告仅供参考，请理性选择，切勿对号入座 私信 @ruanqaq 双向 @ruanqaqbot
❤8
有空哦哥哥 私信 @ruanqaq 双向 @ruanqaqbot
❤20
——枫林体验 https://t.me/szflw 上课时间：8/1 老师花名：福田软软 课室位置：#福田 石厦 老师电报：@ruanqaq 颜值身材：9 体验细节：软软老师照片第一眼就打动我了。见到真人比照片还好看，真人更有女大的灵动感，而且老师学艺术的很会打扮，青春靓丽。喜欢女大青春靓丽的，绝对无脑冲，就是校园里你一定会去追求的那种女孩。老师服务层面三点口，然后就是开始进入正题，抱着老师非常舒服，不一会就交了。还会二刷。 推荐程度：🍁🍁🍁🍁🍁 温馨提示：审美因人而异，服务亦有不同，报告好坏皆仅供参考。 报告频道：https://t.me/szflbg 报告收录机器人： @fenglinwanbbot
❤20
深圳三和修车报告】 https://t.me/sz3hdsrp 【学生留名】：花无缺 【出击时间】：8/2 【老师名字】：#福田软软 【深圳地区】：#深圳 #福田 #石厦 【出击消费】：1100pp 【颜值身材】：9 【服务内容】：课表 【上课体验】：进门笑脸相迎，说话性格温柔。胸大手感好，皮肤很滑。笑容很甜美，很有亲和力，聊天也不错，给人感觉很舒服，不会让I人太害羞和紧张,洗完澡无需多言，直接进房。小黄文就不写了，但不变的那种快乐为啥总是那么的短暂，大战之后，洗澡聊天，最后带着满足和不舍离开。 【优点缺点】：不错 【老师电报】：@ruanqaq 【满分打分】：9 【温馨提醒】：报告仅供参考，请理性选择，切勿对号入座
❤20
2026/08/01 验证视频 私信 @ruanqaq 双向 @ruanqaqbot
❤22
Showing the 12 most recent of 14 posts we hold for @ruanqaq6. 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 — 888,127 of 1,336,469entries 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.
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.
Named by 1 registered channel — 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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“福田软软小世界” (@ruanqaq6), 500 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/ruanqaq6.
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.