🎰 白嫖!深圳茶楼白嫖抽奖活动 📮 参与条件: 🌏️ 归属地 广东 🎫 加入-深圳茶楼 └ 🎟️ 发言数大于 1000 条 🎫 加入-深圳茶馆老师榜 🎫 加入-深圳茶馆老师报告 🎁 奖品内容: 💰️ 白嫖榜上任意一个老师(一千以内)出击后找牛二报销 × 1 ⚠️ 抽奖说明: 不可恶意水群,连续水群信息超过四条的取消白嫖抽奖资格 📅 开奖日期:(北京时间) 2026年09月28日 20时00分00秒

Channel
深圳茶馆老师报告
@szcglsbgo
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
13,082subscribers
+9,847 since we began measuring on 29 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003512668520 |
|---|---|
| Type | Channel |
| Username | @szcglsbgo |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 29 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/szcglsbgo |
Topic
Giveaways & airdrops — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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 Sept 2026, 00:35 | 13,082 | -7 |
| 16 Sept 2026, 13:36 | 13,089 | -2 |
| 14 Sept 2026, 16:19 | 13,091 | -7 |
| 13 Sept 2026, 04:18 | 13,098 | -21 |
| 11 Sept 2026, 04:57 | 13,119 | -47 |
| 8 Sept 2026, 07:38 | 13,166 | +10,074 |
| 3 Sept 2026, 10:02 | 3,092 | -129 |
| 30 Aug 2026, 20:25 | 3,221 | -14 |
| 29 Aug 2026, 21:45 | 3,235 | first reading |
Engagement
20 posts held, back to 12 June 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
- 0.265%
- avg views ÷ 13,082 subscribers
- Avg views / post
- 34.7
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- 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.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 20 (12 June 2026 – 29 August 2026) |
| Views total | 104 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 21:45 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
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 3 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 3 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 12 June 2026 to 29 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
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178514321137 🎰 白嫖!深圳茶楼每月白嫖抽奖 ⚠️ 抽奖说明: 恶意水群,机器人水群者取消抽奖资格 💁 参与情况:4达标 / 39报名 🎅 联系领奖:牛二 1. tudou 奖品:深圳茶楼榜任意老师出击完找牛二报销(一千以内) 祝大家心想事成好运连连!
⏰️【时间】:2026-08-25 👙【老师】:珈珈 🪪【留名】:匿名 🎞️【人照】: 💋【态度】: 🏠️【环境】: 💞【综合】: 💦【过程】: 深圳茶楼主群
🎰 白嫖!深圳茶楼每月白嫖抽奖 📮 参与条件: 🌏️ 归属地 广东 🎫 加入-深圳茶楼 └ 🎟️ 发言数大于 1000 条 🎫 加入-深圳茶馆老师榜 🎫 加入-深圳茶馆老师报告 🎁 奖品内容: 💰️ 深圳茶楼榜任意老师出击完找牛二报销(一千以内) × 1 ⚠️ 抽奖说明: 恶意水群,机器人水群者取消抽奖资格 📅 开奖日期:(北京时间) 2026年08月26日 20时00分00秒
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178230716048 🎰 白嫖!深圳茶楼白嫖活动 ⚠️ 抽奖说明: 中奖者出击后拿出击证明(跟老师牵手照或者转账记录)找牛二报销 💁 参与情况:13达标 / 101报名 🎅 联系领奖:牛二 1. chenhaonan 奖品:老师榜任意老师白嫖(一千内的含一千) 祝大家心想事成好运连连!
⏰️【时间】:2026-07-10 👙【老师】:幼幼酱 🪪【留名】:浪浪不够浪 🎞️【人照】:9 💋【态度】:9 🏠️【环境】:8 💞【综合】:8.67 💦【过程】:约好时间,进门,看到漂亮嫩妹,身材很苗条,穿着短裙,到沙发上简单聊了一会,交水费,去洗澡,妹子是嫩妹人照也一致,三点粉嫩,奶头凹陷,可以吸出来,奶子会硬会挺,要是自聊就更好,妹子苗条皮肤紧致,可以kiss,没有蛇纹,口活需要调教,戴套上,先女上,妹妹紧,水多,干一会逼里水很多,各种姿势都能配合,床上和床下判若俩人,床上真的很骚,干久了会留白色爱液,妹子容易高潮,会叫老公,叫床声也很大,越用力声音越大,真实体验,无任何虚假,喜欢嫩妹的可以放心出击,我出击过很多嫩妹服务都差不多! 深圳茶楼主群
❤2
操作失败,此机器人已达到最大管理的群数量,如需要增加群数量,请联系机器人客服
qingunbot
⏰️【时间】:2026-07-08 👙【老师】:诗诗 🪪【留名】:筱霄 🎞️【人照】:9 💋【态度】:9 🏠️【环境】:8 💞【综合】:8.67 💦【过程】:龙华清湖附近,环境不错,工业园的居民楼,有点像公寓住宅,环境行,就是位置有点小偏。老师比照片好看 身材好,身高一米六多。 流程就是标准三件套,洗吹做。 姿势配合,值得出击。 深圳茶楼主群
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178109672062 🎰 龙华享悦·抓龙筋·半价卷 💁 参与人数:4人 🎅 联系领奖:抓龙筋SPA·享悦S... 1. Li 奖品:享悦半价卷 2. 穿越者大R 奖品:享悦200元优惠券 3. hasanmer h... 奖品:享悦100元优惠券 4. Eric Fan 奖品:享悦100元优惠券 祝大家心想事成好运连连!
❤1
🎰 龙华享悦·抓龙筋·半价卷 📮 参与条件: 🎫 加入-抓龙筋·享悦SPA 🎫 加入-深圳茶楼 🎫 加入-深圳茶馆老师榜 🎫 加入-深圳茶馆老师报告 🎁 奖品内容: 💰️ 享悦100元优惠券 × 3 💰️ 享悦200元优惠券 × 2 💰️ 享悦半价卷 × 1 📅 开奖日期:(北京时间) 2026年07月03日 18时00分00秒
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178230572029 🎰 深圳茶楼每日福利抽奖 ⚠️ 抽奖说明: 中奖奶茶二十找艾希老师领,金币一百找牛二领 💁 参与情况:72达标 / 96报名 🎅 联系领奖:牛二 1. 唧唧唧唧 唧唧 奖品:奶茶20 2. 天狼星 🐟🐟 奖品:奶茶20 3. 无人 奖品:奶茶20 4. ¥ 奖品:奶茶20 5. 帅炸的煎蛋 奖品:奶茶20 6. 鸭爪爆炒钉螺 奖品:金币100 祝大家心想事成好运连连!
Showing the 12 most recent of 20 posts we hold for @szcglsbgo. 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 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳茶馆老师报告” (@szcglsbgo), 13,082 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/szcglsbgo.
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.