【御姐社】@yujie023 【老师艺名】仔仔 【车 牌】 @cqzaizai 【留 名】今晚打老虎 @gwdlh 【水 费】700 【硬 件】9.0 【服 务】7.5 【态 度】9.0 【体验细节】 一日嫩妹一日爽,日日嫩妹日日爽!♥️ 今天又是吃嫩b的一天,看到仔仔妹的资料又有点心痒痒,大长腿又细又直,属实是犯我天条了,冲之! 遥控上楼,开门是个害羞的小丫头,本以为是圆脸的微胖妹纸,但真人明显比照片更好看,没照片那么重的妆感,是19岁应有的清纯。身高貌似不止170,一件贴身的女仆装衬托出高挑苗条的腰身,白嫩大奶呼之欲出,大长腿又白又细,裙摆下露出了两瓣硕大圆润的蜜桃臀🍑,寒暄了一会,仔仔妹腼腆的邀我一起洗澡,帮她解开女仆装的小腰带,圆满坚挺的白嫩酥胸🐻抖落下来,像维纳斯般优美,肌肤摸起来洁白光滑,没一点纹身,在浴室蒸腾的水雾中看起来纯得出水…

Channel
仔仔de春日来信
@cqzaizai77
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
406subscribers
+356 since we began measuring on 15 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003870263814 |
|---|---|
| Type | Channel |
| Username | @cqzaizai77 |
| Created | 13 October 2026 — measured — dated from the channel’s first post |
| First recorded | 15 October 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/cqzaizai77 |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 30 October 2026 and assigned it the closest of 31 fixed categories, at 59% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 09:46 | 406 | +38 |
| 30 Oct 2026, 06:49 | 368 | +107 |
| 22 Oct 2026, 20:38 | 261 | +204 |
| 16 Oct 2026, 08:30 | 57 | +7 |
| 15 Oct 2026, 18:22 | 50 | no change |
| 15 Oct 2026, 17:47 | 50 | first reading |
Engagement
7 posts held, back to 13 October 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 · 30 days
- 49.8%
- avg views ÷ 406 subscribers
- Avg views / post
- 202
- 6 posts measured
- Reaction rate
- 0.315%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 7 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. It is computed over the 1 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 October 2026 |
|---|---|
| Posts held | 7 (13 October 2026 – 15 October 2026) |
| Views total | 1,214 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Oct 2026, 18:22 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 7 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 13 October 2026 to 15 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 7 posts held from the last 30 days (14.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
【时间】:2026-10-15 【老师】:仔仔 @cqzaizai 【留名】:水银 C 【人照】:9 照片轻度美颜 【颜值】:9 猫咪型巴掌脸 【身材】:10 裸高170+腿长腰细胸挺 【态度】:9 态度很好努力满足 【环境】:9 【服务】:8 青涩但是听话 【过程】: 看照片和介绍 170+有胸的嫩妹 难得,赶紧参拍,中了就开始约课,地方很方便停车也好找楼栋,很安全,进门房间宽敞不闷,干净卫生。 开门后,一高瘦小妹出现,小小的脸,猫一样长相,loli脸御姐身啊,小短裤小吊带,弱弱的站在那里,满脸的羞涩。闲坐着聊几句,声音好听不会闷着不说话,也会主动聊天,就是那种有点手足无措的感觉,让人心痒。 洗澡开工,衣衫落下,长腿 细腰 胸大且娇挺,先抱着搓揉一番,害羞极了。洗得很认真,还有一次性牙刷备好,擦净后上床,一点点生涩的三件套,嗯 吃得就是这个味道,而且仔仔很听话,你需要的说她都能学着努力满足你,耳鬓厮磨,🐍住,柔软的小舌头很灵活…
工兵报告 老师花名:仔仔 老师联系方式:@cqzaizai 颜值:9分,身材:9.5分 服务:10分,态度:10分 重庆封神榜: 群里上新,照片一看就是我的菜,直接梭哈拿下工兵,果断约头课。到小区了没墨迹,顺利进屋。一眼就知道这趟来对了,人照相符,90%本人,不过没有照片那么白,身高1米7,确实挺高的,条顺苗条且有货,一对C乳软软糯糯,屁股有肉有臀浪。陪洗澡的时候很温柔,身体也打开任君玩耍,我也没客气上下其手,嘴和弟弟也没闲着各种夹蹭吸,妹妹都很配合,这点必须点赞。妹妹气质很独特,你说青涩吧什么都会,你说熟练吧又感觉懵懂稚嫩。穿上女仆装非常听话乖巧,各种姿势要求都配合到位,还是以我最喜欢的后入结尾,完美的体验!狼友们可以放心冲。
Photo, posted without a caption
❤1
🌸仔仔课表🌸
Photo, posted without a caption
Channel created
Showing the 7 most recent of 7 posts we hold for @cqzaizai77. 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.
Mentions
Named by 3 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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“仔仔de春日来信” (@cqzaizai77), 406 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/cqzaizai77.
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.