Channel
@qianhuiqianhui
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,658subscribers
+0 since we began measuring on 6 October 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003390495129 |
|---|---|
| Type | Channel |
| Username | @qianhuiqianhui |
| Description | 每一次相遇都如同梦幻般，相遇即是缘 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 October 2026 |
| Last confirmed live | 6 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/qianhuiqianhui |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Oct 2026, 15:22 | 2,658 | no change |
| 6 Oct 2026, 14:47 | 2,658 | first reading |
10 posts held, back to 26 September 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 page 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. It is computed over the 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 October 2026 |
|---|---|
| Posts held | 10 (26 September 2026 – 6 October 2026) |
| Views total | 14,320 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Oct 2026, 15:22 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 6 October 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.
15 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 93.3% | |
| 👍 | 1 | 6.67% |
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 10 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 26 September 2026 to 6 October 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.
170 龙华冬宝 @you6371 900/P 1600/PP 人照 ：8.5（可爱嫩妹） 身材：7（微肉身材，非排骨） 态度：9（态度友好） 环境：8（干净整洁） 情绪价值：9（话痨） 床上反馈：9（B紧润，反馈好，水多） 说着休息的日，结果身子比内心诚实，短短5天已经去了4次，唉，没得救啦！！但是看可爱妹妹的摸样，还是忍不住出击。 冬宝妹妹初见面，人照8.5左右，长得邻家小妹妹一样，坐到沙发旁边，咔咔的聊天，开口的声音，仿佛我认识另外一个可爱湖南妹妹，优米小蛋糕= =。哎哟，湖南口音还是特别有意思的。聊了个10分钟，主动去洗澡，再不让又要聊不停了。 床上冬宝妹妹，小女友般撒娇，一直喊我你来么，我不想动，好巧，我也不想动，两个人就这么抱着躺在床上发呆，冬宝又亲我，你来嘛，我不，你先来。嘿，最后她拗不过我，轮流动，嫩妹XCZ口活还算OK，带上小雨伞，她说不会女上，要求她学习一下，结果她坐在上面，也就辣么几秒的时间。行呢，只…
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169 桐桐，第十六回 @tonton688 距离上一次见面，已经过了很久。这次回来，去的路上我的心好似变化挺大的呀。 再次看到桐宝，她还是可爱模样。比之前有活力，但眼中却有一丝急躁，后面还有人。没有废话去洗白白，这小妮子洗白白一直亲我，仿佛在调戏我一般。 床上抱着我，一声叹气，说上班好累。又望向手机时间，我大概也懂，任由她给我舔亲，很努力的争取支棱起来，虽然昨天被阿姨手撸的贤者模式。桐桐实在是紧，不到10分钟就结束了战斗，一看时间，看到她那放松下来的表情，不禁错愕，我真不是桩机！！😂剩下时间那么多，她叫我躺下聊聊天。 很不可思议的是，我已经好几次在她这里不到10分钟就完事了，心里还是有点落空。最后拍拍照片，回去了！ 桐宝还是记忆中可爱小甜妹，这次见面似乎更加俏皮，懂事了！更加讨人喜欢了，会偷亲，会聊天，更想好好努力上班了。而我好似那天起，变了一样。晚安💤，桐宝
168 罗湖雨欣 @yuxingq1 浅灰（替身出击） 今日突然牛牛梆硬，脑子里全是妹妹。刚好翻到了这个妹妹，看上去瘦瘦的，小小只，还是嫩妹，于是就约了下午的课，进门后话偏少，但是很听话，让她帮洗澡也乖乖听话，在床上让她怎么摆姿势就摆什么姿势，属于是安静服务类型的，服务虽然简单但很用心。反馈还带着一些羞涩，不过很真实，屌感很好，凿了二十几分钟，浑身舒畅的射了出来；后面就是抱着妹妹温存，玩了一阵子手机就回去了
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167 再来补一个今天的94水会按摩 359+100额外加钱（全裸+乳交） 今日闲来无事，在家又是睡了个10小时的觉，下午精神倍尔棒，本想说是出击，但想想算了，凿B太累了，我选择去按摩全自动了，叫上好基友一起去附近的水会玩。 这家在坂田的水会也不是很大，环境也还好，想着94的按摩会好一点，没想到啊，这次的阿姨会这么敷衍，一直手背后揉，就在那里推销业务和办会员，脑壳疼，又是被坑的一天，说359的服务很少，没办法，都到这份上了，加个钱，想着服务好点，结果依旧老三样，背后吸皮，胸推，臀推，实在是没感受什么新意，毒龙还是用果冻代替！！说好的时间内可以出两次，没想到第一次乳交和手打，挺困难的，手打的手法也很粗暴，😌。一套下来，完事一看时间才过去25分钟。剩下的时间就玩着手机，随便按着。（水会的技师也不好看，真的是精虫上脑的每一天） 这次终于死心了，94依旧一点都不好玩！！！95又是阿姨级别的技师，避雷避雷。 想要服务直接去服务系的老…
166 龙华鱼破兵 @jia668996 900P/1600PP 十月第一日，迟到的报告，就是当天上班，晚上出击，睡了一天，太累，全身散架一样，现在有空来补一份报告. 鱼破冰难得是一个自聊的妹妹，科室倒是远的在龙华，离地铁站挺远的。拖着又累又困的身体过去，坐到妹妹的沙发上休息好几分钟才有精力。妹妹还挺活泼的，妥妥的活宝，叽叽喳喳说个不停，不过烟味确实不喜欢。 交了水费去洗白白，妹妹还悄悄的跑来门口说，我来偷窥你了。挺逗比的呃，然后床上的事情，好像没啥，口活挺好的，但是妹妹手受伤，也没要求69，各种姿势啥的没怎么搞，而抽烟我也不舌拉，再加上好像我状态不咋地，半硬半软的。后面20分钟后，没做了，冲洗一下收拾干净。溜了 妹妹属于性格活泼开朗，黄皮，抽烟。很有意思的一个妹妹，硬件挺OK的，情绪价值方面没问题。
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婉宁 @wanlin688 三刷婉宁了，趁着9月末的尾巴，上次答应了婉宁妹妹等她休假前再赴约一次，想着放假大伙都回去了，约课还是挺方便的，就是又在奶茶店喝了杯的功夫。 再次见到婉宁妹妹，好像她略带疲惫的样子，但看到我还是很开心，坐到沙发上，这小妮子居然还懂得自然就骑坐在我腿上，跟我相拥抱。学会了，俏皮的说：知道是我来，怎么还有心有灵犀豁。小聊一会就去洗白白 床上一个大蟒蛇，嗯呵，怎么有辣条味，这妮子道:刚在等我的时候，偷偷吃了。好吧，不在乎，继续舌，把味道给她吃完了要，hhhh。依旧是躺着享受，看着那迷人脸给我咿呀咿呀哟。人间莫过于此，好想把此刻记录下来。
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164 福田橙橙 @chengcheng800 800P/1600PP （评论区有爱爱视频） 人照 ：8-9（素颜8，化妆9的小嫩妹） 身材：9（黄皮，无纹身，小萝莉身材） 态度：9（态度友好） 环境：9（干净） 情绪价值：9（性格活泼开朗，话痨，爱笑） 床上反馈：9（B润，配合度高，女上摇摇车王） 本来是想去约一个大奶妹妹的，结果下午睡醒了，看到来了一个新人萝莉妹妹，那我直接一个转身漂移了。 课室在熟悉的地方，在楼下奶茶店待了一会，直接上楼去。开门看到一个身穿红色上衣和白色裙子的小妹妹，到沙发上抓着小手聊天，橙橙小妹妹连声说：抱歉，前面的哥哥迟到墨迹。久等了，我怎么会好意思怪罪妹妹了，连说没事没事。然后又聊了一会，橙橙妹妹话痨模式，笑个不停，一直跟我吐槽这的那，唧唧吱吱，最后还是我主动提出去洗澡。 床上妹妹主动大蟒蛇，我不松开她也不松，舌麻了都。舔咪咪，舌蛋蛋，技巧很不错，女上的摇摇车很猛，里面像个八爪鱼吸盘一样紧紧吸…
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番外篇 08 梦梦 南山🐻DDDDDDD @nanshanmeng 850/P 工兵券（@lsh4409）的投稿 人照：9（基本一致，属于嫩妹类型，脸比较小，整体看起来很年轻可爱） 身材：9（身材纤细，小只型，该有肉的地方也有肉，整体比例不错） 态度：8（话比较少，人比较腼腆，整体还是比较配合的） 环境：8（整体干净整洁，没什么明显问题） 情绪价值：7.5（性格比较安静，交流不算多，属于比较乖巧安静的类型） 整体体验：8 之前在群里看到灰灰频道半价活动，觉得机会难得就直接联系兑换了。到了之后，女孩跟群里的照片基本一致，大概有9分像，没有明显货不对板的感觉。 本人属于比较嫩妹的类型，脸小、身材纤细，整体颜值和身材确实比较在线。性格方面比较安静，话不算多，属于比较腼腆的类型。 技术方面只能说比较一般，有些地方明显比较生疏，互动过程中基本还是需要自己主动一些。不过考虑到本身颜值和身材确实不错，所以这些不足也算被一定…
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中秋节福利 ，南山梦梦 @nanshanmeng 半价券一张，要求素质出击，报告模板参考我频道，今天和明天可以去的私聊我 @qianhuil 单独私聊老师无效 ， 已领完
163 二返婉宁 @wanlin688 900/P 五天没出击了，感觉废废的了。在选择妹妹的过程，在犹豫去新老师还是返，最终还是选择最喜欢颜值担当身材顶呱呱的婉宁。 再次相见，婉宁妹妹这次也是粉红色吊带裙。一眼就记得我一个月之前来过，hh，相逢即是缘。今日的婉宁妆容更加清纯，笑起来更可爱了，那一刻我的心都化了，褪去裙子，白白嫩嫩的皮肤，好看的胸，简直就是我心中最喜欢的清纯嫩妹。 床上婉宁妹妹似乎更加主动了，会主动伸舌头👅舌吻，舌到饱。口技也是越来越厉害了，那迷人的小眼睛看着我内心邪恶念头。欲望高涨，女上似乎更加有力气了，还笑着跟我说，一点不累，看我面相是那种很好的人😂再相遇，没有一开始的拘谨。更像老朋友之间的默默微笑。 事后婉宁妹妹主动拉我拍照，锁骨，胸，皮肤，大长腿全拍全！！最后让她骑坐在大腿上拥抱，她反而害羞起来，下次再好好过来调教。 啊，好喜欢这种清纯的妹妹，简直犯规，可爱的小脸，白嫩的皮肤，修长的身高大长腿，恰…
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Showing the 10 most recent of 10 posts we hold for @qianhuiqianhui. 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.
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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.
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 6 October 2026 — this entry's latest reading, not the date you are reading this.
“浅灰の嫩妹之旅” (@qianhuiqianhui), 2,658 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/qianhuiqianhui.
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.