🔅老师:#倩倩 #蛇吻 🔄地区:#广州 #荔湾 🔓停车:#300起 📱电报: @jnxqianqian ⬇️榜单评论区可查看最新评价
❤1

Channel
@gzbyqq
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,910subscribers
+11 since we began measuring on 8 October 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002152208236 |
|---|---|
| Type | Channel |
| Username | @gzbyqq |
| Created | Between 1 May 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 October 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/gzbyqq |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Oct 2026, 21:42 | 3,910 | +11 |
| 8 Oct 2026, 22:22 | 3,899 | first reading |
15 posts held, back to 4 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 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 3 of 7 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 | 15 (4 July 2026 – 6 October 2026) |
| Views total | 13,977 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Oct 2026, 22:22 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.
Measured directly from 1 video 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.
25 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 84.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 84.0% | |
| 🥰 | 2 | 8.00% | |
| 🔥 | 1 | 4.00% | |
| 😁 | 1 | 4.00% |
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 10 of the 15 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 4 July 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.
🔅老师:#倩倩 #蛇吻 🔄地区:#广州 #荔湾 🔓停车:#300起 📱电报: @jnxqianqian ⬇️榜单评论区可查看最新评价
❤1
😍明天10月5日回来开课了。同学们这几天玩累了记得来找老师放松一下哟😋
【广深报告】[https://t.me/QMqun] 【所在位置】: #彩虹桥 【老师艺名】: #倩倩 【联系方式】: @jnxqianqian 【验证留名】: 帅 【验证时间】:9.23 【课程打赏】: 500/ 95包时 【颜值身材】: 性感 【服务内容】: 口活天花板 【服务态度】: 非常好 【优点缺点】: 参考细节 【推荐程度】🔟 【体验细节】: 之前约但是倩倩在红休没约成,这次终于约上了。进门课室环境很好氛围很棒,倩倩穿的很性感,真人比照片漂亮。身材是肉肉的,喜欢肉一点的可以冲了。寒暄交完水费就直接去浴室帮洗,洗的很细致,看着倩倩的大奶子然后还有水中萧,非常舒服,也是一下子一柱擎天了,差点把持不住。之后到床上,床软绵绵的很舒服,问了才知道是专门为大伙更换的软床垫。因为出两💦,所以直接就开始口,用柔软的舌头包裹住🐢头,从蛋舔到根再整根含入,含的很深很舒服,边摸奶子边被深喉真是舒畅,很快第一发就出来了,之后就按摩唠嗑,不会…
❤3
💋帅哥忙到半夜2点还不忘给我写报告,太给力了。辛苦啦😘
【广深报告】[https://t.me/QMqun] 【所在位置】: #彩虹桥 【老师艺名】: #倩倩 【联系方式】: @jnxqianqian 【验证留名】: 伍港德 【验证时间】: 9.18 【课程打赏】: 800包1.5小时 【颜值身材】: 8/8 【服务内容】: 课表有的都有 【服务态度】:几好 【优点缺点】: 态度好,服务好,交通方便。 【推荐程度】: 8 【体验细节】: 第二次约了,还是一样的服务,一起冲凉,很认真洗,还有水中箫。上床服务,就是AB面,毒龙什么的都有,我也反向服务一番,各种姿势都试了,最后愉快的出水3次,满足的一天,整个人都精神爽利,诚意推荐。 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等) 报告收集机器人: @Umbrella9_bot
❤1
姐妹今天下午4点回来开课,需要约双飞的提前联系哟😘姐妹频道 @hzqjnxxx
回来开课了。辛苦大家久等了!😘
🌈换课室了,还是在彩虹桥地铁站附近。https://t.me/gzbyqq/65
【广深报告】[https://t.me/QMqun] 【所在位置】: #彩虹桥 【老师艺名】: #倩倩 【联系方式】: @jnxqianqian 【验证留名】: 捷风 【验证时间】:8.19 【课程打赏】: 500 【颜值身材】: 9/10 【服务内容】: 95 【服务态度】:👍🏻好👍🏻 【优点缺点】: 进出方便,环境安静,课室干净明亮 【推荐程度】:10 【体验细节】: 进门就感受到了满满的热情,老师身材很不错,皮肤紧致有弹性,明显有运动痕迹,付完课费就一起脱光光进浴室洗澡,水中箫一点都不含糊,先是舌头打转,然后整个放进去,嘴巴里面热乎乎的很舒服。随后老师帮忙擦干身体回到床上开始服务,课表上有的都有,没有一项偷懒,更没有崔钟,值得一提的是老师全程主动引导,而且非常健谈,吹的时候眼睛会看向你,十分带感。 温馨提示: 报告仅供参考 注:(提交报告要提供相关证明,如聊天记录,付款记录等) 报告收集机器人: @Umbrella9_
❤4
❤️❤️回来开课了。顺祝大家七夕愉快
🥰1
https://t.me/vvjf123
❤1
😋小帅哥人很nice,加钟到3H了。那得慢慢品尝,一直舒服一直爽😍
❤7🔥1🥰1
Showing the 12 most recent of 15 posts we hold for @gzbyqq. 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.
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.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“彩虹桥💋倩倩💋原95会所导师口活天花板姐妹可双” (@gzbyqq), 3,910 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/gzbyqq.
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.