【红楼报告】:@GZHL01 【报告时间】:2026-08-24 【出击时间】:8.24 【艺名】:钰钰 【电报】:@YUYU_0112 【留名】: 【位置】:江湾桥 【费用】:8💵 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【颜值身材】:颜值跟照片上是一样的,身材跟照片相符 【服务内容】:进门钰钰老师就给换拖鞋,然后先亲了一顿。然后洗澡前后两面就开始做服务啦。 【优点缺点】:服务态度非常好,停车贵 【体验过程】:

Channel
红楼探花报告榜
@GZHL04
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,922subscribers
-203 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002277192211 |
|---|---|
| Type | Channel |
| Username | @GZHL04 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/GZHL04 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 23:16 | 8,922 | +28 |
| 3 Sept 2026, 14:02 | 8,894 | -125 |
| 30 Aug 2026, 23:26 | 9,019 | -243 |
| 28 Aug 2026, 00:54 | 9,262 | +33 |
| 24 Aug 2026, 23:55 | 9,229 | +153 |
| 21 Aug 2026, 02:36 | 9,076 | -172 |
| 17 Aug 2026, 23:51 | 9,248 | +23 |
| 15 Aug 2026, 00:35 | 9,225 | +57 |
| 11 Aug 2026, 18:54 | 9,168 | +27 |
| 8 Aug 2026, 09:11 | 9,141 | +16 |
| 7 Aug 2026, 22:03 | 9,125 | first reading |
Engagement
29 posts held, back to 6 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 30 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.18%
- avg views ÷ 8,922 subscribers
- Avg views / post
- 373
- 9 posts measured
- Reaction rate
- 0.251%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 29 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 2 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 August 2026 |
|---|---|
| Posts held | 29 (6 July 2026 – 24 August 2026) |
| Views total | 3,355 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 11:30 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
13 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 61.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 61.5% | |
| 🥰 | 2 | 15.4% | |
| 👏 | 1 | 7.69% | |
| 🤔 | 1 | 7.69% | |
| 🤯 | 1 | 7.69% |
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 29 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 6 July 2026 to 24 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
【红楼报告】:@GZHL01 【报告时间】:2026-08-23 【出击时间】:8.21 【艺名】:赵琳 【电报】:@waaewi66 【留名】:小Z 【位置】:天河 【费用】:1400p 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【颜值身材】:大长腿,人妻御姐 【服务内容】:口,69、蛇,ab面,毒龙 【优点缺点】: 有韵味,服务好, 【体验过程】:已经不记得第几次约赵琳老师了,这次有时间立马马不停蹄的过来,进门递水换拖鞋,然后就是坐在餐桌旁边聊天,聊啊聊,感觉聊了十几二十分钟,就跟朋友见面一样,一点不会尴尬,我看差不多了就提议一起去洗澡,赵琳老师会帮忙洗,中间还是会来一段水中萧,很刺激,这个时候就能感受到老师的口活很好,洗完会帮忙擦背,结束一起去房间,开始正戏,赵琳先A面起手,吸奶头吸的很卖力,接着往下含入二弟,从开始的浅口慢慢深喉,舌头还不停在马眼打转,真的…
【红楼报告】:@GZHL01 【报告时间】:2026-08-21 【出击时间】:8.21 【艺名】:赵琳 【电报】:@waaewi66 【留名】:kk 【位置】:天河 【费用】:1400p 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【颜值身材】:很有女人味, 【服务内容】:口,69、蛇 【优点缺点】: 温柔,水也多, 【体验过程】: 指引上楼安全意识挺好的。见到赵琳老师哇塞挺不错的,人看上去比照片上更有味道,身材苗条,我很是喜欢,立马交了水费,迫不及待的和老师进浴室,老师也很温柔的帮我。洗澡后直接上床,她一边聊天一边笑,温柔体贴属性,拉近距离感特别快。先从B面开始,老师贴身磨得很舒服,皮肤又滑又软。转正面,很棒,舌头灵活又会吸,边舔边用那种调皮的眼神看你,爽感十足。技术熟练,身体贴合度高,边动边轻哼,氛围感十足。夹得很有力道,配合手部一起操作,节奏掌握得很好,顺利…
【红楼报告】:@GZHL01 【报告时间】:2026-08-17 【出击时间】:8.17 【艺名】:赵琳 【电报】:@waaewi66 【留名】:笛笛 【位置】:天河 【费用】:1900pp 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【颜值身材】:很有女人味,特别喜欢 【服务内容】:口,69、蛇 【优点缺点】: 温柔,水也多,温暖的阳光的小人妻 【体验过程】: 初见的那一刻,只觉酥酥身形匀称舒展,没有一丝多余赘肉,精致的妆容恰到好处,衬得肌肤白皙透亮,眉眼间尽是动人风姿。最让人心动的是她的双眼,亮晶晶的宛若盛满了星光,温柔又深邃,仿佛藏着数不尽的温柔故事,一颦一笑都尽显温婉美好。 褪去初见的欣喜,沐浴过后的交谈格外舒心,暂时抛开工作的忙碌与生活的琐碎,陪着这般温柔善良的佳人闲话家常,所有的烦恼与糟心事都被抛到了九霄云外,满心满眼都是轻松与欢喜。她言…
【红楼报告】:@GZHL01 【报告时间】:2026-08-17 【出击时间】:2026.8.16 【艺名】:小蛋卷 【电报】:@Xdanjuan 【留名】:水壶 【位置】:白云大道北 【费用】:300(半价p) 【人照】:8 【颜值】:9 【身材】:9 【服务】:9.5 【态度】:10 【环境】:8 【综合】:8.92 【颜值身材】:本人比照片好看,身材苗条,🐻b 【服务内容】:课表全做 【优点缺点】: 情绪价值足,女友式体验,服务很好,不催钟,对于我来说没有缺点 【体验过程】: 不知道几返,刚好中了半价,就约好时间前往,还是老地方,轻车熟路到达课室,到了以后太热先聊了会,凉快下来了一起去洗澡,洗澡很仔细,过程中还会蹭你,洗完澡就开始正戏,过程都大差不差的不多叙述了,也不会因为来的次数多就偷懒什么的,会很认真的对待,完事后休息了一会才去洗澡,然后开溜,总之还是推荐推荐推荐。
❤1
【红楼报告】:@GZHL01 【报告时间】:2026-08-15 【出击时间】:8.13 【艺名】:丽丽 【电报】:@lili943400l 【留名】:Calvin778 【位置】:海珠小区房 【费用】:250(半价p 【人照】:7 【颜值】:7 【身材】:7 【服务】:9 【态度】:9 【环境】:10 【综合】:8.17 【颜值身材】:老师非颜值档 也过得去 身材就是少妇款 【服务内容】:只说重点(老师最厉害的就是舌头 全身游走 不是我夸大 是全身 然后用舌头猛攻后面实在太顶 这是老师最大亮点了 喜欢服务的可以一试哦 【优点缺点】: 环境服务好 老师家里好多喝的 喝点东西再战百世轮回 服务也很好 缺点就是君生我未生 我生君已老 【体验过程】:大致与服务描述内容一致 服务是真的很好的👌
❤1
【红楼报告】:@GZHL01 【报告时间】:2026-08-14 【出击时间】:8.14 【艺名】:赵琳 【电报】:@waaewi66 【留名】:笛笛 【位置】:天河 【费用】:1900pp 【人照】:9.8 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.47 【颜值身材】:大长腿,有韵味,性感迷人 【服务内容】:口,69、蛇深喉 【优点缺点】: 服务态度特别好,做爱体验感特别强 【体验过程】: 二刷了,赵琳给我的体验还是一如既往的好。自从第一次见,老师给我感觉是身材好,性感漂亮,很有韵味,我对这种人妻感老师是没有抵抗力的,刚好长在了我的审美上。 这次进门先跟她打了一声招呼,然后给了我一瓶水,接着连聊天边脱衣服,脱完衣服后她牵着我的手进浴室洗澡。洗完后,我躺再床上望着她的脸,她的脸是属于是那种越看越耐看的,看着她我就硬了,她笑了笑先给我胸推,乳头挺粉嫩,接着给我口,口的过程中我摸她的胸,…
【红楼报告】:@GZHL01 【报告时间】:2026-08-14 【出击时间】:8.14 【艺名】:小丸子顺德大良 【电报】:@xwz419215 【留名】:非常335 【位置】:顺德 【费用】:P 【人照】:8 【颜值】:8 【身材】:8 【服务】:8 【态度】:8 【环境】:8 【综合】:8 【颜值身材】:bbw 【服务内容】:课表 【优点缺点】: 暂无 【体验过程】:天气晴朗,阳光正好,今天确实是适合出击的好日子。中午时分约了小丸子,提前在频道里翻了好几遍照片,总觉得人照和真实感有点距离,心里多少有点忐忑。见面那一刻才真正看清——是标准的BBW体型,大熊🐻实打实没毛病,胸围目测在D到E之间,饱满沉甸,视觉冲击力很强。 课室环境整体很不错,干净整洁,灯光柔和,空气里没有奇怪的味道。老师主动陪洗,动作认真仔细,从头到脚都照顾到了,冲洗得彻底,随后用浴巾把身上水珠一点一点擦干,细节处理得很到位。站在眼前能明显看到有一点点小肚子,…
【红楼报告】:@GZHL01 【报告时间】:2026-08-12 【出击时间】:8.11 【艺名】:丽丽 【电报】:@lili943400l 【留名】:非常3+1 【位置】: 【费用】:P 【人照】:8 【颜值】:8 【身材】:8 【服务】:9 【态度】:9 【环境】:9 【综合】:8.5 【颜值身材】:少妇靓靓 【服务内容】:课表都有 【优点缺点】:无 【体验过程】:二返,服务还是跟上次一样,没有说因为半价而下菜,进门递水交水费洗澡,上次有提到浴室较小(自洗)出来帮擦直接给我含住我的牛子,这是感到非常满足的一个小细节,就像累了一天的丈夫回到家,妻子无微不至的体贴,拉着我进入闺房,我已经迫不及待了,憋了一个星期没见丽丽有点忍不住,跳过服务由站到坐让老师口,舌不离身,又是全身漫游,A面从上到下,我怕在给我口下去就要出水了,赶紧带上小孩嗝屁袋对着小穴后入,看着镜子里面摇晃的吊钟乳,丽丽穿着高跟鞋那个视角一绝,疯狂的桩着老师,发泄这几…
【红楼报告】:@GZHL01 【报告时间】:2026-08-03 【出击时间】:8月初 【艺名】:墨沫 【电报】:@yuqa136 【留名】:Edward 【位置】:天河区 【费用】:1000p 【人照】:9.5 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【态度】:9.6 【环境】:9.6 【综合】:9.53 【颜值身材】:人照九五成,妆容精致 【服务内容】:洗吹做🐍69水中箫 【优点缺点】:优点:颜值高身材好,皮肤白嫩,声音好听,课室布置温馨 缺点:课室离地铁站有些距离 【体验过程】:墨沫人照一致,网红明星脸,皮肤状态很好,腰腹苗条,B+🐻弹手,屁股Q弹,顶级希腊脚,做了美甲,水量足,非常敏感。 进门就被拉着坐沙发聊天,主动性优秀,全程微笑,态度极佳。可🐍可69,(忘记叫墨沫穿QQ内衣了)。性格大方,聊天不冷场,陪洗有水中箫,前戏调情有深喉!换了三次姿势都能主动配合,叫声自然不做作,整个过程很有耐心,事后可以坐在沙…
❤1
【红楼报告】:@GZHL01 【报告时间】:2026-08-02 【出击时间】:08.01 【艺名】:小喵 【电报】:@xiaoxi369 【留名】:大笨象 【位置】:天河 【费用】:600p(半价) 【人照】:8 【颜值】:8 【身材】:9 【服务】:9 【态度】:9 【环境】:7 【综合】:8.33 【颜值身材】:颜值高,🐻b 【服务内容】:xcz 【优点缺点】: 服务好,科室有点难找 【体验过程】: 有幸中了小喵的半价,还是很开心的!这次过来还新增了爆炸糖玩法,真是调皮! 除了搬新科室有点难找,其他基本都满意,小黄文不太会写,总之就是尽兴而归!好评! 报告仅供参考!
【红楼报告】:@GZHL01 【报告时间】:2026-08-01 【出击时间】:8.1 【艺名】:海珠高端公寓式95会所 【电报】:@Ym229yp 【留名】:覃糖 【位置】:#琶洲 #海珠 【费用】:800 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.5 【颜值身材】:凹凸有致,高挑大长腿 【服务内容】:du🐉,69,都有,服务到位 【优点缺点】: 非常棒,优点足以,看不到缺点了 【体验过程】:今天玩了个嗨的!这家店已经返食了好几回了,品质都比较有保障。今天鸡巴难耐那必须去呀。到店店长说来了俩新姑娘,想到下周就要出长差了,那索性直接起双飞一起试得了。哈哈,没想见遇到了俩极品!一个纤细苗条笑眼如斯,那黑丝套腿上直接腿玩年,一个肥臀丰韵波涛汹涌,穿个肚兜那奶子都挺得老高。你们店是真特么会搭配呀!服了。洗澡进房那是直接开整,起双飞最大的好处就是全身每处都能顾及得到,手脚都不…
Showing the 12 most recent of 29 posts we hold for @GZHL04. 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 4 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“红楼探花报告榜” (@GZHL04), 8,922 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/GZHL04.
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.