❤️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

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
27,099subscribers
+4,610 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 | 19 October 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 19 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 |
|---|---|---|
| 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 | -5 |
| 8 Sept 2026, 08:18 | 22,962 | -45 |
| 5 Sept 2026, 01:58 | 23,007 | +64 |
| 3 Sept 2026, 09:04 | 22,943 | +21 |
| 2 Sept 2026, 02:34 | 22,922 | -42 |
| 1 Sept 2026, 03:54 | 22,964 | first reading |
Engagement
101 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 65 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.717%
- avg views ÷ 27,099 subscribers
- Avg views / post
- 194
- 70 posts measured
- Reaction rate
- 6.37%
- reactions ÷ views · ER floor
- Posts in window
- 70
- of 101 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 13 of 70 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 October 2026 |
|---|---|
| Posts held | 101 (23 August 2026 – 20 October 2026) |
| Views total | 13,601 |
| Reactions total | 151 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Oct 2026, 04:09 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
- ≈1,920
- Videos
- ≈328
- Links
- ≈367
Lifetime counters from Telegram’s own channel header, read 20 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 9m 36s
- Average length
- 11s
Measured directly from 54 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
185 reactions across 14 posts, in 8 distinct kinds. The most used accounts for 26.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 49 | 26.5% | |
| 🔥 | 36 | 19.5% | |
| 👏 | 30 | 16.2% | |
| 🎉 | 29 | 15.7% | |
| ❤ | 28 | 15.1% | |
| 🤩 | 5 | 2.70% | |
| 🥰 | 5 | 2.70% | |
| 😁 | 3 | 1.62% |
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 18 of the 101 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 185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 101 most recent posts we hold, published 23 August 2026 to 20 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
❤️老师: #小雅 (自带课室) 💕位置: #深圳 #福田 #下沙 💕课费: 2000 💕标签: #嫩妹 #黑丝 #活泼 #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+ 😀身材好 颜值高 不催钟 情绪和配合都很听话 后面会来的,直接包夜 #福田外围 #福田老师 #福田公寓 #福田98 #福田楼凤
❤️老师: #小雪儿(酒店限定) 💕位置: #深圳 #罗湖 #老街 💕课费: 2200 💕标签: #嫩妹 #大学生 #清纯 💕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+ 😀人照11成(真人比照片好看,然后比较高挑,皮肤很好),配合很棒,能体验当爸爸的感觉,态度让人很舒服,不催钟。 #罗湖外围 #罗湖老师 #罗湖公寓 #罗湖98 #罗湖楼凤
❤️老师: #小琇(自带课室) 💕位置: #深圳 #龙岗 #南联 💕课费: 2100 💕标签: #萝莉 #学生 #反差感 💕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+ 😀胸很好看,摸着很舒服,软软的,小腹没有一点赘肉,腿很直,口的时候口的很深,很温柔,舌头很舒服。 #龙岗外围 #龙岗老师 #龙岗公寓 #龙岗98 #龙岗楼凤
❤️老师: #小小雨 (上门/车震) 💕位置: #深圳 #龙华 #清湖 💕课费: 2400 💕标签: #萝莉 #小蛋糕 #乖巧 #学生 💕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+ 😀妹子的奶子是真的结实真的挺,下面也很紧,几乎是被她夹出来的,口活啥的也不含糊,看的出来是出来次数很少的 #龙华外围 #龙华老师 #龙华公寓 #龙华98 #龙华楼凤
❤️老师: #小小景 (上门/车震) 💕位置: #深圳 #宝安 #福海 💕课费: 2100 💕标签: #萝莉 #学生 #可爱 #超级粉嫩 💕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+ 😀妹子看起来挺小的,话题很少,但是气氛不尴尬。脱衣服一起洗澡,边洗边玩乳头,感觉也是挺敏感的,非常的粉嫩/紧致 #宝安外围 #宝安老师 #宝安公寓 #宝安98 #宝安楼凤
❤️老师: #小夏 (自带课室) 💕位置: #深圳 #福田 #沙尾 💕课费: 2000 💕标签: #嫩妹 #大长腿 #波霸 #反差 💕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+ 😀老师的服务非常好,而且特别主动,特别骚,不会冷场,一直调戏我,大翘臀 后入视觉感超强 #福田外围 #福田老师 #福田公寓 #福田98 #福田楼凤
👏3🔥3❤2🎉1👍1
❤️老师: #小舞 (酒店/上门) 💕位置: #深圳 #南山 #桃园 💕课费: 2300 💕标签: #萝莉 #舞蹈生 #一字马 #高难度 💕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+ 😀妹子身材苗条,🐻也是软软摸起来舒服,抱起来舒服,情绪价值拉满吧,一字马各种高难度动作 #南山外围 #南山老师 #南山公寓 #南山98 #南山楼凤
❤️老师: #小缇 (酒店预定) 💕位置: #深圳 #罗湖 #大剧院 💕课费: 2200 💕标签: #嫩妹 #大长腿 #模特身材 💕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+ 😀玩的真爽。妹子腿真的无敌了,又长又白又滑,妥妥的腿模 #罗湖外围 #罗湖老师 #罗湖公寓 #罗湖98 #罗湖楼凤
🎉4❤3🔥2👍1
❤️老师: #小索(酒店预定) 💕位置: #深圳 #龙岗 #坂田 💕课费: 2000 💕标签: #嫩妹 #翘臀 #情趣 #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+ 😀真人比照片好看更有气质还是素颜,聊起天来很自然,不抽烟没有烟味,身上带点体香。口活顶级,舌头灵活,皮肤细腻,水超级多,姐姐的妹妹紧,不同体位不同感受,女上体力可以舒服。胸大,摸起来软软的很有感觉。 #龙岗外围 #龙岗老师 #龙岗公寓 #龙岗98 #龙岗楼凤
❤️老师: #小爽(自带课室) 💕位置: #深圳 #龙华 #深圳北 💕课费: 2200 💕标签: #萝莉 #丝袜 #女仆 #丝袜 💕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+ 😀在她甜美的娇喘声中,配合着持续的深吻,那种温暖紧致又湿润的包裹感极其舒服,节奏和氛围都恰到好处,没多久我就彻底释放了。这是一次非常舒适且有感觉的CJ体验,整体过程轻松自然,没有任何压力 #龙华外围 #龙华老师 #龙华公寓 #龙华98 #龙华楼凤
❤️老师: #小揉(自带课室) 💕位置: #深圳 #光明 #凤凰城 💕课费: 2000 💕标签: #萝莉 #多变 #制服 💕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+ 😀老师是我喜欢的类型,身材好,🐻大,皮肤光滑,说话温柔轻声细语,服务给力,活好,是我体验过的最好的。最后按照我的要求服务,感觉无比满足。颜值、身材、服务,挑不出任何毛病,再加上这个价格,简直天花板,值得推荐 #光明外围 #光明老师 #光明公寓 #光明98 #光明楼凤
Showing the 12 most recent of 101 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 19 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), 27,099 subscribers as measured 19 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.