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Channel

常州品茶论道🍵

@changzhouLife

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

18,801subscribers

+5,866 since we began measuring on 19 August 2026

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

Register entry

Telegram ID-1002096104740
TypeChannel
Username@changzhouLife
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live3 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/changzhouLife

Growth

12,93518,80115,86819 August 2026 — 12,935 subscribers20 August 2026 — 12,936 subscribers21 August 2026 — 12,967 subscribers22 August 2026 — 13,001 subscribers24 August 2026 — 13,086 subscribers25 August 2026 — 13,128 subscribers26 August 2026 — 13,165 subscribers27 August 2026 — 13,161 subscribers28 August 2026 — 18,540 subscribers29 August 2026 — 18,592 subscribers30 August 2026 — 18,634 subscribers31 August 2026 — 18,648 subscribers1 September 2026 — 18,692 subscribers2 September 2026 — 18,731 subscribers3 September 2026 — 18,801 subscribers19 August 20263 September 2026
15 measurements spanning 15 days, net +5,866. 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 12,055–19,681 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 11:4118,801+70
2 Sept 2026, 07:2418,731+39
1 Sept 2026, 06:2918,692+44
31 Aug 2026, 04:0418,648+14
30 Aug 2026, 05:0718,634+42
29 Aug 2026, 01:5718,592+52
28 Aug 2026, 00:3418,540+5,379
27 Aug 2026, 03:0613,161-4
26 Aug 2026, 05:4713,165+37
25 Aug 2026, 05:2813,128+42
24 Aug 2026, 06:1513,086+85
22 Aug 2026, 12:2713,001+34
21 Aug 2026, 00:1412,967+31
20 Aug 2026, 00:0312,936+1
19 Aug 2026, 18:4512,935first reading

Engagement

11 posts held, back to 11 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 28 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 18,801 subscribers
Avg views / post
2,200
11 posts measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 9 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 2 September 2026
Posts held11 (11 August 20262 September 2026)
Views total24,246
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 08:50 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

Video runtime
26s
Average length
9s

Measured directly from 3 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

27 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 96.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2696.3%
👍13.70%

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 9 of the 11 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 11 August 2026 to 2 September 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

2 Sept 2026, 18:49 UTC296 views1 reactionsread 3 September 2026
Photo

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1

1 Sept 2026, 16:21 UTC760 views2 reactionsread 3 September 2026
Photo

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1👍1

31 Aug 2026, 13:01 UTC≈1,020 views1 reactionsread 3 September 2026

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1

30 Aug 2026, 02:06 UTC≈1,460 views0 reactionsread 3 September 2026
Photo

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26 Aug 2026, 11:34 UTC≈2,420 views5 reactionsread 2 September 2026
Photo

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5

17 Aug 2026, 06:25 UTC≈3,510 views5 reactionsread 2 September 2026
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5

16 Aug 2026, 04:21 UTC≈3,330 views8 reactionsread 1 September 2026
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8

11 Aug 2026, 06:26 UTC≈3,660 views3 reactionsread 29 August 2026
Video

所属:叮当剧情 地区:#新北 编号:98号 联系:点击获取

3

11 Aug 2026, 06:25 UTC≈3,010 viewsread 29 August 2026
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所属:叮当剧情 地区:#新北 编号:3号 联系:点击获取

11 Aug 2026, 06:23 UTC≈2,670 views2 reactionsread 29 August 2026
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所属:叮当剧情 地区:#新北 编号:100号 联系:点击获取

2

11 Aug 2026, 04:21 UTC≈2,110 viewsread 26 August 2026
Video

所属:阿乐剧情 地区:#新北 编号:100号 联系:点击获取

Showing the 11 most recent of 11 posts we hold for @changzhouLife. 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 edited after publishing

@changzhouLife edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 August 2026
Most recent edit
31 August 2026

Mentions

Named by 4 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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“常州品茶论道🍵” (@changzhouLife), 18,801 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/changzhouLife.

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.