深圳茶花汇 群内发送文字 老师发送 每日打卡:登记今日在开课,显示在线 狼友发送 每日开课:可以查看当天在开课老师 老师打卡 打卡模式需要录入资料到机器人,已上榜的老师每天打卡机器人录入资料, 选妃区的老师都已拍过图片或者视频认证; 群里发送,每日开课:可以查看当天在开课老师 本人不会主动联系,且只有一个号( @chhguanliyuan )双向( @Chhmiss_bot ) 请勿上当受骗

Channel
深圳茶花汇 榜单
@chh_sz
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
30,646subscribers
+549 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 | -1001582898294 |
|---|---|
| Type | Channel |
| Usernames | @chh_sz @shenzhenchh |
| Description | 茶花汇群 : https://t.me/chhddq 茶花汇榜单:https://t.me/shenzhenchh 上榜联系 : @chhguanliyuan 双向机器人: @Chhmiss_bot 深圳每日开课频道:https://t.me/CHHszkkls 每日打卡机器人:https://t.me/Chhsl_bot 管理员:https://t.me/Chhmiss_bot |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/chh_sz |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 21:43 | 30,646 | no change |
| 14 Aug 2026, 20:48 | 30,646 | +173 |
| 13 Aug 2026, 15:37 | 30,473 | +10 |
| 13 Aug 2026, 12:08 | 30,463 | +128 |
| 12 Aug 2026, 14:45 | 30,335 | no change |
| 12 Aug 2026, 13:06 | 30,335 | +77 |
| 11 Aug 2026, 15:52 | 30,258 | no change |
| 11 Aug 2026, 13:23 | 30,258 | +23 |
| 10 Aug 2026, 15:51 | 30,235 | no change |
| 10 Aug 2026, 14:27 | 30,235 | +24 |
| 9 Aug 2026, 16:01 | 30,211 | +13 |
| 9 Aug 2026, 14:15 | 30,198 | +51 |
| 8 Aug 2026, 14:24 | 30,147 | +6 |
| 8 Aug 2026, 11:42 | 30,141 | +44 |
| 7 Aug 2026, 22:30 | 30,097 | no change |
| 7 Aug 2026, 22:26 | 30,097 | first reading |
Engagement
27 posts held, back to 7 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 26 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.947%
- avg views ÷ 30,646 subscribers
- Avg views / post
- 290
- 27 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 27
- of 27 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 14 August 2026 |
|---|---|
| Posts held | 27 (7 August 2026 – 14 August 2026) |
| Views total | 7,835 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 05:02 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
- ≈7,530
- Videos
- ≈1,550
- Links
- ≈1,270
Lifetime counters from Telegram’s own channel header, read 15 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
- 2m 01s
- Average length
- 8s
Measured directly from 16 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
花名: 姬秘书(🈶科室🉑外出) 方位:#南山 茶费:1400p 2400pp 私聊:@JXMJZ 双向: 频道:https://t.me/+DVyZ1lFSJmAyNjJl 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
花名:温蒂妮 方位:#南山 茶费:1500p 2600pp 私聊:@wdn2005 双向: @wdn2005bot 频道:https://t.me/+Kf2LeBY_891lZjM1 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
花名:倪妮 方位:#福田 茶费:1100p 1800pp 私聊:@niniyals 双向: @siliaolibala_bot 频道:https://t.me/+uJmFhCOrwoAxNGNl 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
深圳茶花汇 群内发送文字 老师发送 每日打卡:登记今日在开课,显示在线 狼友发送 每日开课:可以查看当天在开课老师 老师打卡 打卡模式需要录入资料到机器人,已上榜的老师每天打卡机器人录入资料, 选妃区的老师都已拍过图片或者视频认证; 群里发送,每日开课:可以查看当天在开课老师 本人不会主动联系,且只有一个号( @chhguanliyuan )双向( @Chhmiss_bot ) 请勿上当受骗
花名: 柳岩 (高尔夫教练) 方位:#福田 茶费:1500p 2500pp 私聊:@Lyan2828 双向: @Lyan21_bot 频道:https://t.me/+SQfJ4BUh-MUzZWI1 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
花名:刘苡扉 方位:#南山 茶费:1400p 2400pp 私聊:@Szlyffff 双向: @Jjdchtaabot 频道:@Szlyf001 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
花名:小糯米 方位:#南山 茶费:2000p 3800pp 私聊:@haokantingting 双向: @datingting_bot 频道:@xiaonuomihenbang 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
花名:紫罗兰 方位:#福田 茶费:1200p 私聊:@ziluolanEE 双向: @zhiluolanbot 频道:https://t.me/+lrFkhOnTyn5iYjBl 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
深圳茶花汇 群内发送文字 老师发送 每日打卡:登记今日在开课,显示在线 狼友发送 每日开课:可以查看当天在开课老师 老师打卡 打卡模式需要录入资料到机器人,已上榜的老师每天打卡机器人录入资料, 选妃区的老师都已拍过图片或者视频认证; 群里发送,每日开课:可以查看当天在开课老师 本人不会主动联系,且只有一个号( @chhguanliyuan )双向( @Chhmiss_bot ) 请勿上当受骗
打卡机器人打卡方式已经更换,请按照现在打卡方式打卡, 步骤➡️ 首先点击 开始-打卡-地区-图片-实名提交,也可以具体步骤看上面图片
花名:奶糖兔 方位:#福田 茶费:1200p 2100pp 私聊:@naitangtus 双向: @naittsiliao_bot 频道:https://t.me/+i3bsBEgUosxhZjU1 报告: https://t.me/+3IRkZsdUPLo4YTBl ----------------------------------- 上榜联系: @chhguanliyuan
Showing the 12 most recent of 27 posts we hold for @chh_sz. 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 — 290,372 of 1,350,102entries 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.
Mentions
Named by 7 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳茶花汇 榜单” (@chh_sz), 30,646 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/chh_sz.
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.