Telegram RegisterThe public register of Telegram
Telegram profile photo for 深圳.取餐区

Channel

深圳.取餐区

@Sz_qcq

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

24,094subscribers

+4,316 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001415768469
TypeChannel
Username@Sz_qcq
Description深圳茶餐厅: https://t.me/Sz_cct 深圳取餐区:https://t.me/Sz_qcq 老板娘:@CCTgly 双向联系:@LBNZS_bot
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/Sz_qcq

Growth

18,77424,11121,442.56 August 2026 — 19,778 subscribers7 August 2026 — 19,527 subscribers8 August 2026 — 19,157 subscribers9 August 2026 — 19,237 subscribers10 August 2026 — 19,194 subscribers11 August 2026 — 18,774 subscribers12 August 2026 — 19,065 subscribers13 August 2026 — 22,506 subscribers14 August 2026 — 24,111 subscribers16 August 2026 — 24,094 subscribers24,0946 August 202616 August 2026
10 measurements spanning 10 days, net +4,316. 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 17,973–24,912 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 15:0224,094-17
14 Aug 2026, 20:1624,111+1,605
13 Aug 2026, 14:0722,506+3,441
12 Aug 2026, 13:5519,065+291
11 Aug 2026, 12:0318,774-420
10 Aug 2026, 14:1819,194-43
9 Aug 2026, 17:2219,237+80
8 Aug 2026, 14:2419,157-370
7 Aug 2026, 17:0519,527-251
6 Aug 2026, 20:0419,778first reading

Engagement

73 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.43%
avg views ÷ 24,094 subscribers
Avg views / post
344
73 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
73
of 73 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 August 2026
Posts held73 (6 August 202616 August 2026)
Views total25,098
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 17:53 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
2,960
Videos
465
Links
660

Lifetime counters from Telegram’s own channel header, read 16 August 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
5m 01s
Average length
10s

Measured directly from 29 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.

Recent posts

16 Aug 2026, 14:54 UTC180 viewsread 16 August 2026
Photo

👤 深圳.茶餐厅 名字:可妮 地区:南山 验证:手势验证 资料:02年167身高59kg🐻天然D+ 价位:P1400/PP2300 联系:@keni20012 频道: https://t.me/+wSpAGpQaXXExNjQ1 双向:@kn186_bot 标签: #陪浴 #舌吻💋 #无套口 #指尖漫游 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

16 Aug 2026, 14:32 UTC169 viewsread 16 August 2026
Photo

👤 深圳.茶餐厅 名字:三三 地区:南山 验证:手势验证 资料:24岁171身高54kg🐻34C 价位:P900/PP1700 联系:@SanS3333 频道: https://t.me/SANSAN32 双向:@SANSAN345_bot 标签: #无套口 #舌吻💋 #激情69 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

16 Aug 2026, 14:04 UTC199 viewsread 16 August 2026
Photo

👤 深圳.茶餐厅 名字:木子 地区:南山 验证:手势验证 资料:04年170身高49kg🐻天然D 价位:P1000/PP2000 联系:@muziyy2 频道: https://t.me/mzyy2y2 双向:@muzijqrBot 标签: #胸推 #臀推 #舌吻💋 #鸳鸯浴 #无套口 #情趣制服 #丝袜高跟 茶餐厅 | 取餐区 | 报告区

16 Aug 2026, 05:22 UTC62 viewsread 16 August 2026
Photo

👤 深圳.茶餐厅 名字:小曼 地区:宝安 验证:手势验证 资料:20岁170身高98体重🐻B+ 价位:P800/PP1500 联系:@xiaoman28866 频道: https://t.me/azaz415 双向:@xiaomanshuanga_bot 标签: #无套口 #水中萧 #亲亲调情 #观音坐莲 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

15 Aug 2026, 15:05 UTC321 viewsread 16 August 2026
Photo

👤 深圳.茶餐厅 名字:恬恬 地区:南山 验证:手势验证 资料:04年168身高51kg🐻D 价位:P1300/PP2100 联系:@zhang10141 频道: https://t.me/+dJ_socHO08gxOWRl 双向:@titijqr2204_bot 标签: #陪浴 #舌吻💋 #水中萧 #无套口 #舔🥚 #情趣制服 #丝袜高跟 #jk制服 茶餐厅 | 取餐区 | 报告区

15 Aug 2026, 14:16 UTC324 viewsread 16 August 2026
Photo

👤 深圳.茶餐厅 名字:可文 地区:宝安 验证:手势验证 资料:02年165身高49kg🐻36C 价位:P1500/PP2600 联系:@kewen888888 频道: https://t.me/kewen66668888 双向:@szkewen_bot 标签: #胸推 #舔🥚 #深喉 #无套口 #鸳鸯浴 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

15 Aug 2026, 13:52 UTC146 viewsread 15 August 2026
Photo

👤 深圳.茶餐厅 名字:火灵儿 地区:福田 验证:手势验证 资料:25岁172身高53kg🐻天然E 价位:P1000/PP1600 联系:@feng320273 频道: https://t.me/epU8aYtYUBc5NmNh 双向:@xiaozizi12bot 标签: #胸推 #臀推 #指划 #毒龙 #鸳鸯浴 #水中萧 #舌吻💋 #激情69 #花式吹箫 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

15 Aug 2026, 04:00 UTC554 viewsread 15 August 2026

💐💐💐开奖了💐💐💐 抽奖橙子🍊(编号L178634698910)已成功开奖: 创建人:茶餐厅老板娘[8325695112] 已参与人数:535 中奖名单如下: 树先生[5866092109](奖品为8.88永远发红包🧧) 万事如意[6221165096](奖品为PP300优惠券) 深情凯文[7415511552](奖品为P200优惠券) 高冷帅气霸道艳少[7467742201](奖品为PP300优惠券) 老李[7686365643](奖品为8.88永远发红包🧧) 拼刀刀[8732756536](奖品为P200优惠券) 谨祝中奖用户大吉大利万事顺意

15 Aug 2026, 03:23 UTC96 viewsread 15 August 2026
Photo

👤 深圳.茶餐厅 名字:妍妍 地区:南山 验证:手势验证 资料:18岁163身高47kg🐻B+ 价位:P1000/PP1900 联系:@szbb0812 频道: https://t.me/yanyan885208 双向:@szyanyan22520bot 标签: #舌吻💋 #无套口 #陪浴 #舔胸 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

15 Aug 2026, 03:13 UTC93 viewsread 15 August 2026
Photo

👤 深圳.茶餐厅 名字:果子 地区:南山 验证:手势验证 资料:04年165身高48kg🐻天然34D 价位:P1300/PP2400 联系:@szgz21 频道: @szgz520 双向:@szgz21bot 标签: #鸳鸯浴 #无套口 #深喉 #舔🥚 #激情69 #舌吻💋 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

14 Aug 2026, 15:43 UTC308 viewsread 15 August 2026
Photo

👤 深圳.茶餐厅 名字:可可 地区:南山 验证:手势验证 资料:22岁166身高🐻34C 价位:P1300/PP2200 联系:@coco6813y 频道: https://t.me/+AANpO6e4g2U3MTUx 双向:@coco6813y_bot 标签: #无套口 #舌吻💋 #水中萧 #鸳鸯浴 #胸推 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

14 Aug 2026, 14:43 UTC136 viewsread 14 August 2026
Photo

👤 深圳.茶餐厅 名字:CC 地区:南山 验证:手势验证 资料:18岁162身高51kg🐻C+ 价位:P1000/PP1800 联系:@cc33441dd 频道: https://t.me/cc33441d 双向:@cc33441aabot 标签: #舌吻💋 #激情69 #无套口 #足交 #胸推 #鸳鸯浴 #水中萧 #情趣制服 #丝袜诱惑 茶餐厅 | 取餐区 | 报告区

Showing the 12 most recent of 73 posts we hold for @Sz_qcq. 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.

Citation-graph rank

Citation-graph rank — 47,580 of 1,481,502entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“深圳.取餐区” (@Sz_qcq), 24,094 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/Sz_qcq.

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.