上海【喜茶】作业报告 👧艺名: #露露 ⛳位置: #浦东 金桥 🤖课表: https://t.me/xichalssh/30708 📒小作文: 金桥这边的小嫩妹,工作室在酒店公寓。环境还行。本人和视频里说话验证的那个基本一致。 妹妹还行,但是代聊不行,罚站严重。每次到这个大厦就没有准时的。这次等了快半小时。 妹妹是确实不错,超级嫩,咪咪都没彻底发育起来,奶头都是小小的粉嫩嫩的,下面的逼逼也是非常粉嫩。本来就没多少的毛毛也被刮掉了,人工小白虎!没啥经验的小妹妹也就说不上服务了,简单口两下,亲亲小逼逼。看湿润了就带套开操了,太嫩了不耐插,几分钟就受不了了,再加上我这边还有事就123出水结束了。 总结,超级嫩妹,但是太快餐。而且代聊罚站太恶心 💁反馈人: futin胖鱼
Channel
露露的评价
@lulucdgh
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2subscribers
+1 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003577851311 |
|---|---|
| Type | Channel |
| Username | @lulucdgh |
| Created | 9 August 2026 — measured — dated from the channel’s first post |
| First recorded | 15 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/lulucdgh |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 09:55 | 2 | +1 |
| 15 Aug 2026, 08:31 | 1 | no change |
| 10 Aug 2026, 03:16 | 1 | first reading |
Engagement
10 posts held, back to 9 August 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 · 30 days
- 177.8%
- avg views ÷ 2 subscribers
- Avg views / post
- 3.6
- 9 posts measured
- Reaction rate
- 20.0%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 10 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 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 10 (9 August 2026 – 14 August 2026) |
| Views total | 32 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 08:31 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 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 1reactions 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 9 August 2026 to 14 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.
Recent posts
上海【喜茶】作业报告 👧艺名: #露露 ⛳位置: #浦东 金桥 🤖课表: https://t.me/xichalssh/30708 📒小作文: 中介代聊并不是老师自聊,老师和粉色衣服那张照片基本8分像,颜值还行,身材很棒,胸不大但是摸起来很舒服,嫩是真的嫩,但是太小了没有任务服务,不让亲也不给口,自己洗完澡出来就看到老师脱光躺着床上,然后你自由发挥,体验较为一般,下面也不太紧。 💁反馈人: Donald
🔥 上海修车协会 · 出击报告 🥰老师:露露 📅 时间:2026-08-14 💓狼友:Peyton 🏅 等级:👍 好评 📸 人照:10 🌸 颜值:10 🔥 身材:10 🥰服务:8 🤝 态度:9 🏡 环境:9 💯 综合:9.33 ⭐️ 详细过程 老师位置很好找,颜值很高,和照片差不多了,特别嫩,感觉比较小,是白虎,身体很白不假,老师刚做很多动作不会不想做,就没强迫老师坐,除了服务少排课太紧了,忘记拿伞一回头看到另一个老哥已经来了,45分钟太少不够做,妹妹提醒我时间快到了才加速出货的。妹妹好像是短开,值得出击一下。 📢上海修车协会 · 真实报告
🌈lsid: @lulu1_15 🌟ls评分: 8.66 👄颜值分:9.0 👙身材分:9.0 💗情绪价值分:9.0 🫧服务分:8.0 ☀报告内容: ➖➖➖➖➖➖ [lsid]: @lulu1_15 [正文]:老师和频道里差不多,标准的萝莉妹,皮肤很白,很健谈,也能聊得来,胸大概有b+,好像还在发育,特别嫩,下面白虎,特别粉嫩,嫩妹服务不多,直接戴t开始,姿势换了几个也都很配合,反应也不错,喜欢嫩妹的可以无脑冲。 反馈者:懒羊羊超级大王
🔥 上海修车协会 · 出击报告 🥰老师:露露 📅 时间:2026-08-14 💓狼友:Peyton 🏅 等级:👍 好评 📸 人照:10 🌸 颜值:10 🔥 身材:10 🥰服务:8 🤝 态度:9 🏡 环境:9 💯 综合:9.33 ⭐️ 详细过程 老师位置很好找,颜值很高,和照片差不多了,特别嫩,感觉比较小,是白虎,身体很白不假,老师刚做很多动作不会不想做,就没强迫老师坐,除了服务少排课太紧了,忘记拿伞一回头看到另一个老哥已经来了,45分钟太少不够做,妹妹提醒我时间快到了才加速出货的。妹妹好像是短开,值得出击一下。 📢上海修车协会 · 真实报告
上海泡泡屋修车报告模版:https://t.me/shpaopaowujlq 【妹子艺名】:#露露 【联系方式】@lulu1_15 【所在位置】:#浦东 【上课水费】:p 【验证留名】:神秘调查员 【验证时间】:8月 【体验评价】:8.5 【人照几成】:8.5 【身材描述】:9 【老师类型】: 嫩妹 【服务过程描述】:位置在浦东的一个老的大厦里面,位置不难找,进门先交水费,然后自己洗澡,洗完澡躺床上,基本没有服务,妹妹不想口,我也没有强迫他,聊了几句,直接戴套开做,妹妹今天好像课比较满,所以桩不了多久,做了没几分钟就有点受不了,只能加速快点出货,最后123出货走人。人照基本一致,比较像频道里面的那件粉色衣服的照片。比较烦的就是来了就得罚站,时间安排得非常紧,我在楼下罚站了十几分钟,前面那个大哥刚出门,我就擦身进去了。 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座 注:提交报告需要约课记录
上海泡泡屋修车报告模版:https://t.me/shpaopaowujlq 【妹子艺名】:#露露 【联系方式】@lulu1_15 【所在位置】:#金桥 【上课水费】:工兵 【验证留名】:send type 【验证时间】:8月 【体验评价】:9 【人照几成】:8 【身材描述】:9 【老师类型】: 嫩妹 【服务过程描述】:太嫩了 嫩到爆的妹妹 我都不忍心下手 照片不是很像 妹妹很白 有纹身 个子不高 就是太嫩了 有点害羞 地方不太行 在大厦 懂得都懂 心里很忐忑的出击 妹子自己被敲了两次门 我在准备cj的时候被敲了一次 弄心里压力了 导致我晚上又cj了一次才缓过来 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座 注:提交报告需要约课记录
🎖精英车评🎖 【时间】:2026-08-10 【老师】:露露 【留名】:虾仁不眨眼 【人照】:9 【颜值】:9 【身材】:8.5 【服务】:8.5 【态度】:9 【环境】:8.6 【综合】:8.77 【过程】:高颜值的嫩妹,人照一致,非常漂亮,身材不是排骨,有一点点肉,抱起来非常舒服,很敏感,容易高潮,喜欢嫩妹的ly可约。 新开的妹妹,看了评论非常棒,果断竞拍,预约上课,课室在金桥的公寓,安全性一般。 妹妹非常热情,人照一致,可爱萌妹,妆容精致,年龄18。胸部盈盈一握,乳头很小,还在发育中,左肩有一点点纹身。 洗完上床,妹妹陪着聊天,不会什么服务,那只能由我来服务妹妹,从kiss开始,慢慢向下,妹妹的鲍鱼鲜嫩多汁,毛量稀少,天然白虎,没有异味,轻柔曼妙就开始出水,慢慢往里探,bb里非常紧致,能感受到肉壁的挤压。屁股挺翘,有点肉感。 带上小雨伞,从cjs起手,慢慢往鲍鱼里探,妹妹非常配合,不断抱紧我,切换多个姿势,最终女上姿势出货…
❤1
上海艺术展览会报告模板: https://t.me/+nFnE0wANtSRkMjEx 【体验评分】:10 【人照几成】:10 【验证留名】:上沪 【验证时间】:2026.8 【妹子艺名】:露露 【联系方式】:@lulu1_15 【上课水费】:1000 【位置环境】:浦东 【罩杯手感】:b 饱满,还在发育,手感很q 弹 【身材描述】:匀称 【服务类型】:课表 【服务态度】:好 【屌感紧度】:紧致,水润 【个人总结】:1,颜值,好看,嫩妹,可爱,邻家,甜美,胶原蛋白,元气萝莉,整体形象有点像抖音网红失眠熊吴思琪那种 2,身材,不胖,匀称,有肉,摸着舒服,奶子不大,但是手感很饱满,感觉还在发育,捏着非常q 弹,舒服!没赘肉,腰腿都不错,后入腰臀比好。 3,皮肤,没瑕疵,滑,嫩,偏白,爱不释手 4,性格,逗比,有意思 5,小穴,佳品,毛极少,近白虎,户型馒头,干净,无异味,上月才破处 6,涩涩,紧致,水润,敏感,才破处,虽然痛苦,坚持…
Channel created
Showing the 10 most recent of 10 posts we hold for @lulucdgh. 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
Citation-graph rank — 1,107,039 of 1,568,528entries 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.
Forward network
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.
Mentions
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“露露的评价” (@lulucdgh), 2 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/lulucdgh.
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.