Telegram RegisterThe public register of Telegram
Telegram profile photo for 郑州公开榜

Channel

郑州公开榜

@ZZKUNZI

Has discussion group

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

18,291subscribers

+10,594 since we began measuring on 2 September 2026

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

Register entry

Telegram ID-1002140336076
TypeChannel
Username@ZZKUNZI
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live11 November 2026
Measurements held36
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/ZZKUNZI

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 17 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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

7,69418,63913,166.52 September 2026 — 7,697 subscribers2 September 2026 — 7,697 subscribers3 September 2026 — 7,699 subscribers8 September 2026 — 7,694 subscribers12 September 2026 — 7,709 subscribers17 September 2026 — 7,710 subscribers26 September 2026 — 7,698 subscribers5 October 2026 — 14,070 subscribers9 October 2026 — 15,251 subscribers13 October 2026 — 16,439 subscribers14 October 2026 — 16,419 subscribers15 October 2026 — 16,404 subscribers16 October 2026 — 16,381 subscribers17 October 2026 — 16,379 subscribers18 October 2026 — 16,376 subscribers19 October 2026 — 16,361 subscribers20 October 2026 — 16,347 subscribers22 October 2026 — 16,329 subscribers23 October 2026 — 16,305 subscribers24 October 2026 — 16,296 subscribers25 October 2026 — 16,288 subscribers26 October 2026 — 16,290 subscribers27 October 2026 — 16,278 subscribers28 October 2026 — 17,472 subscribers29 October 2026 — 17,466 subscribers30 October 2026 — 18,639 subscribers31 October 2026 — 18,626 subscribers1 November 2026 — 18,600 subscribers2 November 2026 — 18,596 subscribers3 November 2026 — 18,509 subscribers4 November 2026 — 18,476 subscribers5 November 2026 — 18,462 subscribers6 November 2026 — 18,437 subscribers8 November 2026 — 18,394 subscribers9 November 2026 — 18,323 subscribers11 November 2026 — 18,291 subscribers18,2912 September 202611 November 2026
36 measurements spanning 70 days, net +10,594. 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 6,052–20,281 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
11 Nov 2026, 07:4818,291-32
9 Nov 2026, 15:5118,323-71
8 Nov 2026, 08:0118,394-43
6 Nov 2026, 23:0618,437-25
5 Nov 2026, 19:3718,462-14
4 Nov 2026, 20:1018,476-33
3 Nov 2026, 19:1618,509-87
2 Nov 2026, 16:3418,596-4
1 Nov 2026, 14:0718,600-26
31 Oct 2026, 15:4618,626-13
30 Oct 2026, 14:3918,639+1,173
29 Oct 2026, 13:3917,466-6
28 Oct 2026, 10:0817,472+1,194
27 Oct 2026, 06:3416,278-12
26 Oct 2026, 05:2016,290+2
25 Oct 2026, 07:3516,288-8
24 Oct 2026, 04:3616,296-9
23 Oct 2026, 03:4916,305-24
22 Oct 2026, 03:1716,329-18
20 Oct 2026, 23:0516,347first reading

Engagement

20 posts held, back to 6 October 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 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.45%
avg views ÷ 18,291 subscribers
Avg views / post
1,180
14 posts measured
Reaction rate
0.069%
reactions ÷ views · ER floor
Posts in window
15
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 7 of 14 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 10 November 2026
Posts held20 (6 October 2026 – 10 November 2026)
Views total16,512
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:18 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
38s
Average length
13s

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

12 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 91.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1191.7%
👍18.33%

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 11 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 12 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 6 October 2026 to 10 November 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

Telegram’s own ‘edited’ marker: 10 of 15 posts held from the last 30 days (66.7%) 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).

10 Nov 2026, 15:58 UTC262 viewsread 11 November 2026
Photo

#郑州 金水区 熟妇 见面付 价格399 姚砦路附近 联系方式郑州昆字群发送1285获取

10 Nov 2026, 15:55 UTC254 viewsread 11 November 2026
Photo

#郑州 见面付无定金 价格399 联系方式郑州昆字群发送1284获取

10 Nov 2026, 15:50 UTC246 viewsread 11 November 2026
Photo

#郑州 #中原区 三通熟妇 服务项目:毒龙,舌吻,吹箫,深喉 价格300 地址:桐柏南路小岗刘新城 联系方式郑州昆字发送1283获取

9 Nov 2026, 15:55 UTC399 viewsread 11 November 2026

Telegram 简体中文语言包 直接点击链接更改语言 * 支持 Telegram for iOS/Android/macOS/Desktop, Telegram X for iOS/Android 官方客户端 * 支持 Nicegram/Plus Messager/Unigram 第三方客户端 * Telegram 官网网页版不能使用语言包. 如果遇到不能更改语言包, 先把Telegram客户端升级新版 ----------------------------------------- 各个语言包: * 中文(简体)-https://t.me/setlanguage/zhcncc * 中文(简体)-@zh_CN: https://t.me/setlanguage/classic-zh-cn * 中文(简体)-简体: https://t.me/setlanguage/classic-zh * 中文(简体)-langCN: ht…

8 Nov 2026, 07:13 UTC491 views1 reactionsread 11 November 2026
Photo

🇮🇳 8年印度代购! 专供硬核产品! 🔥 男性专区: 解决阳痿、早泄、肾虚!让你持久、够硬、火力全开! 💖 女性专区: 独家催情秘药!让她主动、渴望、夜夜笙歌! 👨‍⚕️ 专业药师:精准指导,告别盲目! 🛡 极致服务: 📦 保密发货 | ✈️ 顺丰次日达 | 🤝 淘宝交易。 性福💊大药房 频道: 👉 @xifke

❤1

7 Nov 2026, 14:41 UTC656 viewsread 11 November 2026
Photo

#郑东新区 #郑州 见面付 价格399 联系方式郑州昆字群发送1282获取

7 Nov 2026, 14:38 UTC624 viewsread 11 November 2026
Photo

#郑州市 #管城区 见面付无定 价格299 联系方式郑州昆字群发送1281获取

3 Nov 2026, 13:53 UTC≈1,150 views1 reactionsread 11 November 2026
Photo

#郑州 #管城区 无定金见面付 价格299 联系方式郑州昆字群发送1280获取

❤1

3 Nov 2026, 03:48 UTC≈1,090 views1 reactionsread 11 November 2026
Photo

#郑州 #金水区 无定金无路费 价格500 地址国基路附近 联系方式郑州昆字群发送1279获取

❤1

2 Nov 2026, 07:10 UTC≈1,180 views0 reactionsread 11 November 2026
Photo

静姐泰国古法抓龙筋【治疗级别】 中原地区少有的治疗级抓龙筋. 真正专业正宗的泰式古法抓龙筋手法。 有效改善阳痿早泄、中途疲软、硬度不够,敏感时间短,可以提升硬度,持久度等,前列腺问题也可以有明显改善。改善男性亚健康,精力也会更充沛。 师从海外从业多年,被业界誉为“顶级性功能治疗导师”。专业正宗古法抓龙筋认准静姐!!! 电报:@zzlongjin 微:zzzlongj 频道:@zhualj123123 备用:https://t.me/zzjjzlj556

25 Oct 2026, 08:08 UTC≈2,080 views1 reactionsread 11 November 2026
Photo

#郑州市 西三环 价格400 微信:yun1314111a Li7255w 飞机: @yunbaobaoai

❤1

21 Oct 2026, 16:39 UTC≈2,450 viewsread 11 November 2026
Photo

#郑州市 #中原区 见面付 价格5米 联系方式郑州昆字群发送1278获取

Showing the 12 most recent of 20 posts we hold for @ZZKUNZI. 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

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

“郑州公开榜” (@ZZKUNZI), 18,291 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ZZKUNZI.

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.