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Channel

宁波品茶资源

@nbcyh8766

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

27,984subscribers

-4,829 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1001452957146
TypeChannel
Username@nbcyh8766
Description上榜 @hxr88899bot 讨论群 t.me/pch9988
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live19 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/nbcyh8766

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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 why it has no browse page of its own yet.

Growth

27,98435,51331,748.512 August 2026 — 32,813 subscribers12 August 2026 — 32,813 subscribers12 August 2026 — 32,759 subscribers13 August 2026 — 32,558 subscribers14 August 2026 — 35,513 subscribers16 August 2026 — 34,233 subscribers17 August 2026 — 34,113 subscribers18 August 2026 — 33,946 subscribers19 August 2026 — 33,877 subscribers20 August 2026 — 33,810 subscribers21 August 2026 — 33,752 subscribers22 August 2026 — 33,342 subscribers24 August 2026 — 33,118 subscribers25 August 2026 — 32,896 subscribers26 August 2026 — 32,717 subscribers27 August 2026 — 32,594 subscribers28 August 2026 — 32,384 subscribers29 August 2026 — 32,094 subscribers30 August 2026 — 31,869 subscribers31 August 2026 — 31,796 subscribers1 September 2026 — 31,632 subscribers2 September 2026 — 31,509 subscribers3 September 2026 — 31,318 subscribers5 September 2026 — 31,191 subscribers8 September 2026 — 30,745 subscribers11 September 2026 — 30,029 subscribers13 September 2026 — 29,427 subscribers15 September 2026 — 29,128 subscribers17 September 2026 — 28,643 subscribers19 September 2026 — 27,984 subscribers12 August 202619 September 2026
30 measurements spanning 38 days, net -4,829. 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 26,855–36,642 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
19 Sept 2026, 13:5427,984-659
17 Sept 2026, 00:0128,643-485
15 Sept 2026, 00:0129,128-299
13 Sept 2026, 07:5529,427-602
11 Sept 2026, 10:1830,029-716
8 Sept 2026, 17:5430,745-446
5 Sept 2026, 08:5731,191-127
3 Sept 2026, 13:3731,318-191
2 Sept 2026, 10:1731,509-123
1 Sept 2026, 12:2931,632-164
31 Aug 2026, 13:4431,796-73
30 Aug 2026, 17:0831,869-225
29 Aug 2026, 20:3232,094-290
28 Aug 2026, 18:5632,384-210
27 Aug 2026, 17:2632,594-123
26 Aug 2026, 16:5332,717-179
25 Aug 2026, 13:3232,896-222
24 Aug 2026, 12:2633,118-224
22 Aug 2026, 22:0333,342-410
21 Aug 2026, 15:0733,752first reading

Engagement

20 posts held, back to 1 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 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 27,984 subscribers
Avg views / post
2,840
11 posts measured
Reaction rate
0.041%
reactions ÷ views · ER floor
Posts in window
11
of 20 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 3 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 20 September 2026
Posts held20 (1 August 202620 September 2026)
Views total31,210
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 08:30 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
678
Videos
175
Links
71

Lifetime counters from Telegram’s own channel header, read 20 September 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
1m 31s
Average length
9s

Measured directly from 10 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

8 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8100.0%

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 8 of the 20 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 1 August 2026 to 20 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

20 Sept 2026, 06:04 UTC149 viewsread 20 September 2026
Photo

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18 Sept 2026, 13:52 UTC781 viewsread 20 September 2026
Photo

圈界NO.1 🟡昵称:小咪 🕐地区:#鄞州区 🤖双向:@mimi375_bot 🚀电报:@xiaomi7745 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你活得通透又热烈,每一个眼神都闪烁着智慧的光芒。 🔰#点击下方查看详情⬇️

18 Sept 2026, 03:52 UTC≈1,270 viewsread 20 September 2026
Photo

宁波专业开发男高 前高龟责潮喷第一人 顶级院级手法,前列腺敏感的 大几率🉑做到高潮/潮喷💦 专业抓龙筋,前列腺保养,前列腺高潮,三起三落,龟责潮喷,柔式丝足诱惑sm等 ‼️598优惠50送龟责潮喷,898优惠100送前高,活动持续中 微信:mst8845 预约客服:@zlj1751 双向联系:@whzlj888_bot 频道: 频道点击浏览👀 地址:宁波海曙区星悦中心 ⚠️(无定金预约,服务完收费,需要提前预约时间哟,一客一约一消,保证私密性)

16 Sept 2026, 15:37 UTC≈1,770 views2 reactionsread 20 September 2026
Photo

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2

15 Sept 2026, 12:14 UTC≈2,480 viewsread 20 September 2026
Photo

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14 Sept 2026, 12:05 UTC≈3,020 views1 reactionsread 20 September 2026
Photo

🟡昵称: #奶酥酥 🕐地区: #江北 🤖双向: 🚀电报:@naisusu168 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

1

1 Sept 2026, 08:29 UTC≈2,510 views0 reactionsread 7 September 2026
Photo

圈界NO.1 🟡昵称:#白桃 🕐地区:#鄞州 🤖双向:@baitaopp7866bot 🚀电报:@batao90877 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】身姿体态大方优雅,举手投足都自带韵味,一抬眼一抬手的小细节,处处都展现出独属于你的迷人魅力。 🔰#点击下方查看详情⬇️

28 Aug 2026, 05:14 UTC≈3,870 viewsread 7 September 2026
Video

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26 Aug 2026, 11:38 UTC≈4,630 viewsread 7 September 2026
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25 Aug 2026, 12:24 UTC≈5,020 viewsread 7 September 2026
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24 Aug 2026, 08:02 UTC≈5,710 viewsread 7 September 2026
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21 Aug 2026, 09:25 UTC≈5,090 views0 reactionsread 1 September 2026
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Showing the 12 most recent of 20 posts we hold for @nbcyh8766. 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 3 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“宁波品茶资源” (@nbcyh8766), 27,984 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/nbcyh8766.

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.