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Channel

深圳茶花汇每日开课老师

@chhszkkls

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

18,264subscribers

+5,462 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-1002210817928
TypeChannel
Username@chhszkkls
Description上榜联系:@chhguanliyuan 双向机器人: @Chhmiss_bot 深圳茶花汇群: https://t.me/chhddq 深圳茶花汇榜单:https://t.me/shenzhenchh 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
Created27 July 2024 — measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live13 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/chhszkkls

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 77% 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

12,80218,26415,5337 August 202613 November 2026
64 measurements spanning 98 days, net +5,462. 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 11,983–19,083 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
13 Nov 2026, 14:5018,264+173
11 Nov 2026, 03:0718,091+102
9 Nov 2026, 14:1617,989+34
8 Nov 2026, 07:5517,955+20
7 Nov 2026, 05:5917,935+41
6 Nov 2026, 08:3117,894+65
5 Nov 2026, 08:3117,829+42
4 Nov 2026, 06:0717,787+75
3 Nov 2026, 04:3717,712+69
2 Nov 2026, 03:3917,643+47
1 Nov 2026, 04:2817,596+31
31 Oct 2026, 01:2817,565+14
30 Oct 2026, 02:4917,551+73
29 Oct 2026, 05:1017,478+60
28 Oct 2026, 01:4617,418+52
26 Oct 2026, 22:5717,366+56
26 Oct 2026, 02:1717,310+54
25 Oct 2026, 02:4417,256+67
24 Oct 2026, 01:5117,189-2
23 Oct 2026, 00:3617,191first reading

Engagement

763 posts held, back to 27 July 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.447%
avg views ÷ 18,264 subscribers
Avg views / post
81.6
232 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
232
of 763 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 14 November 2026
Posts held763 (27 July 2024 – 14 November 2026)
Views total18,932
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 05:01 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
14
Links
1

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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 232 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, 04:57 UTC3 viewsread 14 November 2026
Photo

地区:#深圳 花名:福田 紫罗兰 天然E🉑69口💥开课🀄️ 联系方式:@ziluolanEE ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

14 Nov 2026, 04:57 UTC3 viewsread 14 November 2026
Photo

地区:#深圳 花名:深圳南山175冷白皮小糯米(卷版)有🐶冒充我 联系方式:@haokantingting ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

14 Nov 2026, 04:57 UTC2 viewsread 14 November 2026
Photo

地区:#深圳 花名:南山 Sherry雪莉 联系方式:@Sherry0611 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

14 Nov 2026, 04:57 UTC3 viewsread 14 November 2026
Photo

地区:#深圳 花名:深圳南山 龍喜儿 🈶🏠🉑上门🚪 联系方式:@nslx111 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 08:33 UTC143 viewsread 14 November 2026
Photo

地区:#深圳 花名:新人薇薇个人🏠💯 🍀南山 联系方式:@xmz9909 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 07:56 UTC107 viewsread 14 November 2026
Photo

地区:#深圳 花名:清欢半夏 联系方式:@Justwarm88 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 07:29 UTC97 viewsread 14 November 2026
Photo

地区:#深圳 花名:深圳南山波波E🐻个人兼职 联系方式:@bobo131 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 06:56 UTC91 viewsread 14 November 2026
Photo

地区:#深圳 花名:小馨 联系方式:@xiaoxingff ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 06:42 UTC87 viewsread 14 November 2026
Photo

地区:#深圳 花名:🍬柚柚宝🍬05幼师反差 联系方式:@youyoubao488 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 06:42 UTC86 viewsread 14 November 2026
Photo

地区:#深圳 花名:南山呆呆反差💌有课室可上门💕 联系方式:@daidaifcx02 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 06:41 UTC87 viewsread 14 November 2026
Photo

地区:#深圳 花名:南山泡泡💌05年冷白皮💅有🏠🉑⬆️🚪 联系方式:@paopaoxf5 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

13 Nov 2026, 06:40 UTC81 viewsread 14 November 2026
Photo

地区:#深圳 花名:南山新人 奶盖💋 联系方式:@naigai00 ------------------------------------- 老师使用 @Chhsl_bot 打卡开课

Showing the 12 most recent of 763 posts we hold for @chhszkkls. 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 5 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.

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

“深圳茶花汇每日开课老师” (@chhszkkls), 18,264 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/chhszkkls.

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.