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Channel

深圳茶楼#龙岗区

@SZCLNGQ

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

11,586subscribers

-384 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001688531669
TypeChannel
Username@SZCLNGQ
Description在榜三十天内上榜账号如果骗定(不含人照不一),仅限首位提供证据投诉属实的群友获得100元内的赔付,群友放心喝茶。 为防止诈骗,妹子解禁上榜找管理。 有问题联系唯一管理员: @Sanlimi_bot 🔥深圳茶楼: @vip40f 茶楼#深圳榜 https://t.me/zhenzhenchalou
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/SZCLNGQ

Topic

Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 the other topics.

Growth

11,53612,08011,80811,5867 August 202612 November 2026
61 measurements spanning 97 days, net -384. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 11,454–12,162 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
12 Nov 2026, 14:1911,586+7
10 Nov 2026, 09:0111,579+1
8 Nov 2026, 17:2111,578+8
7 Nov 2026, 08:0711,570+2
6 Nov 2026, 06:2611,568-2
5 Nov 2026, 02:4511,570+3
3 Nov 2026, 23:2911,567-1
3 Nov 2026, 01:1811,568+1
2 Nov 2026, 00:3411,567-2
1 Nov 2026, 03:2511,569+4
31 Oct 2026, 03:4011,565-7
30 Oct 2026, 03:5711,572+2
29 Oct 2026, 02:3611,570-2
27 Oct 2026, 23:3711,572-6
26 Oct 2026, 20:0611,578+4
25 Oct 2026, 18:0611,574-3
24 Oct 2026, 21:3611,577+8
23 Oct 2026, 23:3611,569+2
22 Oct 2026, 22:5911,567-2
21 Oct 2026, 22:2811,569first reading

Engagement

43 posts held, back to 5 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 71 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.07%
avg views ÷ 11,586 subscribers
Avg views / post
935
11 posts measured
Reaction rate
0.095%
reactions ÷ views · ER floor
Posts in window
12
of 43 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 8 of 11 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 November 2026
Posts held43 (5 August 2026 – 14 November 2026)
Views total10,286
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 10:05 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
621
Videos
224
Links
9

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3m 59s
Average length
8s

Measured directly from 30 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

20 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 75.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1575.0%
👍315.0%
🔥15.00%
😍15.00%

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 23 of the 43 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 20 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 5 August 2026 to 14 November 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

Telegram’s own ‘edited’ marker: 0 of 12 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 09:09 UTC58 viewsread 14 November 2026
Photo

老师艺名: #七七 (你们私聊看验证) 所在位置: #龙岗 联系方式: @Szlg77 双向机器人: @xiaoqiqi888_bot 价格: #800P 标签: #舌吻 #上门 #69 #800P #包时

12 Nov 2026, 07:07 UTC535 views0 reactionsread 14 November 2026
Photo

老师艺名: #桃子 (你们私聊看验证) 所在位置: #龙岗 联系方式:@taozi85201 双向机器人:@taozi456bot 价格: #700P 快餐 500 标签: #制服 #700P #足交 #快餐 #

12 Nov 2026, 06:40 UTC543 viewsread 14 November 2026
Photo

老师艺名: #安妮 (你们私聊看验证) 所在位置: #龙岗 坂田 联系方式:@Anni889933 双向机器人:@Ani67890bot 价格: #500P 标签: #深喉 #500P #制服 #69 #收U

10 Nov 2026, 05:49 UTC806 views1 reactionsread 14 November 2026
Photo

老师艺名: #晚晚 (你们私聊看验证) 所在位置: #龙岗 中心城 联系方式:@luxiwen 双向机器人:@wanwanxiaozhulibot 价格: #1100P 标签: #69 #1100P #口爆 #上门

👍1

4 Nov 2026, 05:05 UTC≈1,540 views2 reactionsread 13 November 2026
Photo

老师艺名: #南禾宝贝 (你们私聊看验证) 所在位置: #龙岗 龙城广场 联系方式: @nanhebaby 双向机器人: @nanhebaby_bot 价格: #1000P 标签: #长腿 #69 #按摩 #1000P

❤2

3 Nov 2026, 12:01 UTC≈1,260 viewsread 11 November 2026
Photo

老师艺名: #粥粥 所在位置: #龙岗 联系方式:@zhouee6557 双向机器人:@Zhoutte6552Bot 价格: #700P 标签: #上门 #700P #69 # # # #

3 Nov 2026, 05:03 UTC≈1,350 views0 reactionsread 11 November 2026
Photo

老师艺名: #诺诺 (你们私聊看验证) 所在位置: #龙岗 坂田 联系方式: @xiaofang_6 双向机器人: @xiaofangf1bot 价格: #700P 标签: #69 #700P #舌吻 #口爆 #上门 ######

1 Nov 2026, 04:54 UTC≈1,140 views0 reactionsread 9 November 2026
Photo

老师艺名: #北北 (你们私聊看验证) 所在位置: #龙岗 联系方式: @beibei1328 双向机器人: @beibeigenbanbot 价格: #1000P 标签: #69 #制服 #嫩妹 #1000P

30 Oct 2026, 09:08 UTC875 views2 reactionsread 3 November 2026
Photo

老师艺名: #桃子 所在位置: #龙岗 坂田 联系方式: @TaoziF88 双向机器人:@Taozi00_bot 价格: #500P 标签: #大波 #500P #制服 #上门 #

👍2

30 Oct 2026, 04:00 UTCviews —

深圳茶楼#龙岗区 pinned «🎁 龙岗赫子的活动 积分抽奖(定时开奖) ├开奖时间: 2026-10-30 12:00 ├参与需加入: │⭐ 深圳茶楼 │└消耗积分: 250 │🎫 深圳茶楼#龙岗区 │🎫 赫子 │🎫 深圳榜 │🎫 深圳茶楼#千元P以下(含一千) │🎫 茶楼#嫩妹 │🎫 深圳茶楼报告 ├奖品列表: ├一百优惠劵 × 5 ├15的红包 × 2 ├抽奖说明:🔥请中奖者于开奖后7天内联系赫子 https://t.me/SZCLNGQ/6110?single 查看原价并兑奖,解释权归,中奖名额不可转让,过期不候。…»

30 Oct 2026, 04:00 UTC809 views1 reactionsread 3 November 2026

🎁 龙岗赫子的活动 积分抽奖(定时开奖) ├开奖时间: 2026-10-30 12:00 ├参与需加入: │⭐ 深圳茶楼 │└消耗积分: 250 │🎫 深圳茶楼#龙岗区 │🎫 赫子 │🎫 深圳榜 │🎫 深圳茶楼#千元P以下(含一千) │🎫 茶楼#嫩妹 │🎫 深圳茶楼报告 ├奖品列表: ├一百优惠劵 × 5 ├15的红包 × 2 ├抽奖说明:🔥请中奖者于开奖后7天内联系赫子 https://t.me/SZCLNGQ/6110?single 查看原价并兑奖,解释权归,中奖名额不可转让,过期不候。 🔥深圳茶楼不定期举行🧧活动,26年千元现金邀请活动已结束,新年红包活动已结束,四五双节千元活动已结束,端午父亲现金🧧活动已结束,国庆千元红包活动已结束,后续活动择日进行~~ 进群 @vip40f 发送 抽奖 俩个字查询抽奖活动。 🔥茶楼积分获取途径是在群里每日发送:①签到。②邀请,复制邀请链接邀请他人进群。③发言(请不…

❤1

25 Oct 2026, 14:18 UTC≈1,370 views2 reactionsread 3 November 2026
Photo

老师艺名: #舒乐 (你们私聊看验证) 所在位置: #龙岗 联系方式: @ayihiiq 双向机器人: @liuliuliujiqirenbot 价格: #1000P 标签: # #1000P #69 #舌吻 #制服 #上门

❤2

Showing the 12 most recent of 43 posts we hold for @SZCLNGQ. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @SZCLNGQ as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
20 August 2026
Most recent seen missing
20 August 2026
Median time before seen missing
17 hours
Seen missing in the last 30 days
0

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳茶楼#龙岗区” (@SZCLNGQ), 11,586 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/SZCLNGQ.

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.