🎉 广州茶馆-龙儿优惠券 🎁 奖品清单 • 优惠券100 × 1 • 通用优惠券200 × 2 🛡️ 参与条件 • 加入 广州茶馆 • 加入 龙儿_一线天(广州开课🀄) • 加入 广州茶馆甄选轮播群 • 加入 广州茶馆老师榜【备胎】 • 加入 广州茶馆-在榜老师(新榜) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3圣晶石 • 祝福上限:1000次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-09-29 16:15:00 📜 抽奖说明 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖!写报告:@gzcg1bot 3:写报告抽500现金红包🧧和巨量圣晶石!!! ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

Channel
龙儿_一线天(广州开课🀄)
@longer_888
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,541subscribers
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003470313889 |
|---|---|
| Type | Channel |
| Username | @longer_888 |
| Description | 私聊:https://t.me/longer_88 微信:longer--88 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 25 September 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 1 |
| On Telegram | t.me/longer_888 |
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 11:22 | 1,541 | first reading |
Engagement
20 posts held, back to 16 April 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
- 18.3%
- avg views ÷ 1,541 subscribers
- Avg views / post
- 283
- 8 posts measured
- Reaction rate
- 0.345%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 20 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 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 20 (16 April 2026 – 25 September 2026) |
| Views total | 2,262 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Sept 2026, 11:22 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.
What this channel posts
- Photos
- 21
- Videos
- 2
- Links
- 12
Lifetime counters from Telegram’s own channel header, read 25 September 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.
- Video runtime
- 19s
- Average length
- 19s
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.
Reaction mix
8 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 7 | 87.5% | |
| 🤔 | 1 | 12.5% |
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 20 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 16 April 2026 to 25 September 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
【广州茶馆】:https://t.me/gzcg9 【时间】:2026-09-23 【老师】:龙儿 【账号】:@longer_88 【留名】:奥特曼 【颜值】:美丽,人照一致 【身材】:高挑性感 【罩杯】:B 【服务】:完美,超级好 【态度】:不错 【位置】:天河 【评分】:9 【过程】:一进门就见到龙儿老师,颜值和身材都很惊艳,人照至少9分符合,个子也没水分,这双大长腿在街上见了我起码盯着看半分钟,坐下之后也非常体贴的给我拿水递拖鞋。说话也很温柔,让人很放松,课表里的服务一样不少,69很到位,过程中反馈也很好,一点不事儿,都听你指挥,但是兄弟们也别提变态要求了。像这种硬件软件都顶级的妹子确实太少见了,推荐兄弟们出击,特别是像我一样喜欢大长腿的哈哈。
全广州半价最多,真人最多,查找老师功能最全,狼友最活跃的群! https://telegram.me/gzcg9
家人们回来海珠区喝🍵啦
休息了,宝子们💋💋💋
再开几天要休息了😻😻
❤1
https://t.me/QMqun
在越秀喝茶🍵
家人们 有空找我喝喝茶🍬☕️
群内有免费白嫖劵,五折工兵劵,需积分和发言数参与 广佛高质量狼友交流群组:https://t.me/+d2VfZXpstac2OGE1 广州佛山公开榜群组:https://t.me/GuangzhouCBy 广州佛山报告群组:https://t.me/guangzhou1728 投诉建议上榜联系:@bbca12
❤1
【广深报告】[https://t.me/QMqun] 【所在位置】:天河 【老师艺名】:龙儿 【联系方式】:@longer_88 【验证留名】:曼巴 【验证时间】:7.15 【课程打赏】:800 【颜值身材】:很漂亮,身材好 【服务内容】:课表 【服务态度】:认真有耐心 【优点缺点】:服务很用心,配合度很高 【推荐程度】:10 【体验细节】:✈️私信龙儿老师,但是老师好像不怎么看电报,最后还是加了V才成功跟龙儿约上。进房间后龙儿非常主动 像是许久未见的情侣 调了一会情后一起洗澡 老师白皙的皮肤配上已经硬起来的奶头十分诱人。洗干净二弟后蹲下来给我服务水中萧,不得不说老师的口活是真不错,我知晓自己的耐力,所以不敢让老师再继续 洗完到床上后继续调了会情,光滑的皮肤摸起来真的舒服,口技哇塞,舔吸奶头鸡巴超舒服。手抚摸老师的小穴,没几下就流水了。观感很好,果然是又紧水又多,蝴蝶状的骚逼,我忍不住一口猛舔吸,鲍鱼没任务异味,吃起来很好吃 …
❤1
📕 龙儿(@longer_88)的报告 【广深报告】[https://t.me/QMqun] 【所在位置】:越秀 【老师艺名】:龙儿 【联系方式】:@longer_88 【验证留名】:BBA 【验证时间】:7-11 【课程打赏】:7 【颜值身材】:9.8 【服务内容】:9.9 【服务态度】:9.9 【优点缺点】:[老师比较少上飞机] 【推荐程度】:[10分为满分] 9.5分 【体验细节】:[课室在公寓,楼下人稍微多一点] 姐姐颜值直接美到犯规!灵动的杏眼水汪汪的,眼妆衬得眼眸亮晶晶,眼波流转自带撩人氛围感;眉形精致利落,搭配软嫩饱满的红唇,脸型线条流畅秀气,整张脸精致得像打磨好的艺术品,抬眼对视的时候氛围感直接拉满,耐看又惊艳! 浅金发色太有辨识度啦,高辨识度的渐变长发顺滑垂落,金发提亮肤色超级显白,独特配色时髦又有小众氛围感,长发柔顺飘逸,把清冷又甜酷的气质狠狠拿捏,走在路上回头率绝对爆表!个人像自带美颜 buff,甜酷兼具…
Showing the 12 most recent of 20 posts we hold for @longer_888. 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 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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“龙儿_一线天(广州开课🀄)” (@longer_888), 1,541 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/longer_888.
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.