❤️老师: #昕昕(上门/车震) 💕位置: #深圳 #龙华 #大浪 💕课费: 2100 💕标签: #嫩妹 #高挑 #球迷 #洒脱 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀胸B+,软软的,白白的,老师非常懂男人,耳边呻吟,吸奶,69,🐍吻,等一应俱全,🐍到饱,舔到饱了属于是。 #龙华外围 #龙华老师 #龙华公寓 #龙华98 #龙华楼凤

Channel
深圳探花楼榜单(出击版)
@SZ_THL
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
27,747subscribers
+5,258 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003389684147 |
|---|---|
| Type | Channel |
| Username | @SZ_THL |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/SZ_THL |
Topic
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 01:30 | 27,747 | +125 |
| 24 Oct 2026, 00:51 | 27,622 | +91 |
| 23 Oct 2026, 03:27 | 27,531 | +85 |
| 22 Oct 2026, 04:20 | 27,446 | +93 |
| 20 Oct 2026, 21:38 | 27,353 | +254 |
| 19 Oct 2026, 17:35 | 27,099 | +162 |
| 18 Oct 2026, 14:16 | 26,937 | +309 |
| 17 Oct 2026, 11:00 | 26,628 | +342 |
| 16 Oct 2026, 11:44 | 26,286 | +70 |
| 15 Oct 2026, 09:38 | 26,216 | +165 |
| 14 Oct 2026, 10:36 | 26,051 | +242 |
| 12 Oct 2026, 21:37 | 25,809 | +707 |
| 8 Oct 2026, 11:35 | 25,102 | +488 |
| 3 Oct 2026, 23:16 | 24,614 | +1,116 |
| 25 Sept 2026, 04:00 | 23,498 | +392 |
| 18 Sept 2026, 17:16 | 23,106 | +152 |
| 16 Sept 2026, 08:38 | 22,954 | +134 |
| 14 Sept 2026, 11:38 | 22,820 | -49 |
| 13 Sept 2026, 01:00 | 22,869 | -88 |
| 11 Sept 2026, 04:20 | 22,957 | first reading |
Engagement
112 posts held, back to 23 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 74 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.812%
- avg views ÷ 27,747 subscribers
- Avg views / post
- 225
- 81 posts measured
- Reaction rate
- 4.36%
- reactions ÷ views · ER floor
- Posts in window
- 81
- of 112 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 16 of 81 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 112 (23 August 2026 – 24 October 2026) |
| Views total | 18,257 |
| Reactions total | 154 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Oct 2026, 20:28 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
- Video runtime
- 10m 12s
- Average length
- 10s
Measured directly from 59 videos 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
188 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 26.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 49 | 26.1% | |
| 🔥 | 36 | 19.1% | |
| ❤ | 31 | 16.5% | |
| 👏 | 30 | 16.0% | |
| 🎉 | 29 | 15.4% | |
| 🤩 | 5 | 2.66% | |
| 🥰 | 5 | 2.66% | |
| 😁 | 3 | 1.60% |
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 21 of the 112 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 188 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 112 most recent posts we hold, published 23 August 2026 to 24 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
😃😃😃😃 😃😃😃😃 深圳全區高端😃😃-😃😃-😃😃會所 😀😃😀😃😀😃😀 特色优点: ⭐店内24小时免费提供 停车 过夜 自助餐 点餐 水果饮料 干蒸汗蒸 桌球室 棋牌室 电玩娱乐等等 单人VIP包房过夜 还有商务接待VIP多人包房留宿 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😀😀😀服务内容: 全程👄 丝袜调情 诱惑丝袜 唇吸 冰火 高山流水,真👅独龙,倒挂金钩 👅手脚 69互动,口爆,过水,漫游,臀推,阴推/等等、会所订制顶级服务,打造全深服务与质量天花板! 🫠🫠🫠🫠 🫠🫠🫠🫠 1、根据老板需求安排到位 2、多人在线真实部长 3、只做精品/顶级,不做大妈场 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😀宝安区 预约点击 😵 宝安94-95-96 😀光明区 预约点击 😵 光明94-95-96 😀南山区 预约点击 😵 南山94-95-96 😀福田区 预约点…
❤1
❤️老师: #晓非(酒店/上门) 💕位置: #深圳 #光明 #马田 💕课费: 2000 💕标签: #嫩妹 #国风 #优雅 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀老师陪洗是真的很仔细,还有水中萧,主动深喉含到深处舌头还在不断挑逗,口技也是很顶 #光明外围 #光明老师 #光明公寓 #光明98 #光明楼凤
❤️老师: #小枝(自带课室) 💕位置: #深圳 #宝安 #西乡 💕课费: 1800 💕标签: #素颜 #嫩妹 #真实 #马甲线 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀老师人照一致,只是没了美白瘦脸,穿着黑丝战衣,身材还紧实,没有游泳圈。最紧要系真的大 #宝安外围 #宝安老师 #宝安公寓 #宝安98 #宝安楼凤
❤️老师: #小甄(自带课室) 💕位置: #深圳 #福田 #莲花西 💕课费: 1900 💕标签: #嫩妹 #双马尾 #泳衣 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀妹子主动疯狂🐍、皮肤白 3点粉、听话 会聊天、超级柔软的真胸、下面紧的很 #福田外围 #福田老师 #福田公寓 #福田98 #福田楼凤
❤1
❤️老师: #小喻 (酒店约定) 💕位置: #深圳 #南山 #西丽 💕课费: 2000 💕标签: #嫩妹 #御姐范 #有气质 #优雅 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀超级瘦的小妹,但是🐻还是有点的,比较圆润不知道算b还是c了,了解到才80斤,腰也是真的细 #南山外围 #南山老师 #南山公寓 #南山98 #南山楼凤
❤️老师: #小预(酒店限定) 💕位置: #深圳 #罗湖 #国贸 💕课费: 2200 💕标签: #萝莉 #学生 #明星感 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀给我的第一印象是含水量十分充足的滋润,是绝对年轻带来的质感,皮肤吹弹可破,手指纤细像细葱,胸部饱满匀称,近距离观察也很难看清毛孔,整洁光滑身形曲面像优美的函数。 #罗湖外围 #罗湖老师 #罗湖公寓 #罗湖98 #罗湖楼凤
❤1
❤️老师: #小意 (自带课室) 💕位置: #深圳 #龙岗 #平湖 💕课费: 1800 💕标签: #萝莉 #清纯 #害羞 #乖巧 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀颜值高,嫩妹,情商高会聊天,声音磁性吸引人,胸大白嫩,屁股大 #龙岗外围 #龙岗老师 #龙岗公寓 #龙岗98 #龙岗楼凤
❤️老师: #小仪 (酒店预定) 💕位置: #深圳 #龙华 #大浪 💕课费: 2000 💕标签: #嫩妹 #御姐范 #身材好 #高跟情趣 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀妹子服务热情,女友般体验,十足魅魔,还有符文加攻速 #龙华外围 #龙华老师 #龙华公寓 #龙华98 #龙华楼凤
❤️老师: #小叶(自带课室) 💕位置: #深圳 #光明 #凤凰城 💕课费: 1900 💕标签: #御姐 #风骚 #大长腿 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀颜值高,嫩妹,情商高会聊天,声音磁性吸引人,胸大白嫩,屁股大 #光明外围 #光明老师 #光明公寓 #光明98 #光明楼凤
❤️老师: #小瑶 (自带课室) 💕位置: #深圳 #宝安 #宝田一路 💕课费: 2000 💕标签: #嫩妹 #御姐范 #反差感 #波霸 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀妹子热情主动,胸大屁股大,皮肤光滑白净,课表全套做足,叫床很骚。 #宝安外围 #宝安老师 #宝安公寓 #宝安98 #宝安楼凤
❤️老师: #小Y (酒店预定) 💕位置: #深圳 #南山 #桃源 💕课费: 1800 💕标签: #嫩妹 #小白花 #可爱 #听话 💕预约: 探花小秘 💕预约: 探花机器人 🤛个人老师已视频认证 😀人照一致狼友反馈评分99+ 😀妥妥服务性嫩妹(口的很好),今天紧度很吊哦,反差型可爱(特别今天的jk很好看),皮肤挺好,水很多,女桩基潜力 #南山外围 #南山老师 #南山公寓 #南山98 #南山楼凤
Showing the 12 most recent of 112 posts we hold for @SZ_THL. 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 October 2026 — this entry's latest reading, not the date you are reading this.
“深圳探花楼榜单(出击版)” (@SZ_THL), 27,747 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/SZ_THL.
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.