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Channel

郑州月亮🌙 平价选妃🥇

@zzlove0001

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

8,730subscribers

+104 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001914589810
TypeChannel
Username@zzlove0001
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/zzlove0001

Topic

Adult — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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

8,4328,7308,5817 August 2026 — 8,626 subscribers8 August 2026 — 8,615 subscribers11 August 2026 — 8,581 subscribers13 August 2026 — 8,537 subscribers17 August 2026 — 8,504 subscribers20 August 2026 — 8,445 subscribers24 August 2026 — 8,645 subscribers27 August 2026 — 8,615 subscribers30 August 2026 — 8,583 subscribers2 September 2026 — 8,529 subscribers7 September 2026 — 8,478 subscribers11 September 2026 — 8,432 subscribers15 September 2026 — 8,730 subscribers7 August 202615 September 2026
13 measurements spanning 39 days, net +104. 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 8,387–8,775 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 14:418,730+298
11 Sept 2026, 22:168,432-46
7 Sept 2026, 04:388,478-51
2 Sept 2026, 15:108,529-54
30 Aug 2026, 21:178,583-32
27 Aug 2026, 11:258,615-30
24 Aug 2026, 08:398,645+200
20 Aug 2026, 16:478,445-59
17 Aug 2026, 09:358,504-33
13 Aug 2026, 23:348,537-44
11 Aug 2026, 04:038,581-34
8 Aug 2026, 07:308,615-11
7 Aug 2026, 13:178,626first reading

Engagement

27 posts held, back to 5 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 26 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.82%
avg views ÷ 8,730 subscribers
Avg views / post
159
3 posts measured
Reaction rate
12.6%
reactions ÷ views · ER floor
Posts in window
3
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held27 (5 August 202628 August 2026)
Views total477
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:46 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
3m 14s
Average length
9s

Measured directly from 21 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

662 reactions across 27 posts, in 4 distinct kinds. The most used accounts for 66.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍44366.9%
15423.3%
🔥619.21%
🥰40.604%

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 27 of the 27 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 662 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 5 August 2026 to 28 August 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.

Telegram Stars

Stars received
140
across the posts below
Posts paid on
23
of 27 we hold a reading for · 85%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zzlove0001. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 27 most recent posts we hold for this entry, published 5 August 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

28 Aug 2026, 11:49 UTC58 views10 reactions7 Starsread 28 August 2026
Photo

位置: 郑州管城 📍 艺名: #微微 个人描述: 女孩留着一头顺滑的深棕长直发,发丝柔顺地铺在肩头。小巧精致的脸蛋上,一双圆溜溜的大眼睛清澈明亮,眼型圆润柔和,搭配纤细的眉毛,看着格外灵动。鼻梁秀气,唇瓣粉嫩饱满,皮肤白皙细腻。身形纤细修长,穿搭休闲随性,整体是软萌甜美的长相,自带乖巧元气的少女感。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍63🔥1

25 Aug 2026, 12:27 UTC211 views25 reactions6 Starsread 28 August 2026
Photo

位置: 郑州管城 📍 艺名: #新疆妹 个人描述: 棕红色的长发蓬松柔软,随意散落在肩头,衬得脸型小巧精致。一双眼眸大而灵动,眼妆精致,睫毛纤长,眉形利落,鼻梁高挺立体,唇色明艳饱满,肌肤白皙细腻,五官组合明艳大气,自带成熟妩媚的氛围感。 身姿纤细窈窕,线条匀称,一袭白色吊带短裙更衬出优雅柔媚的气质。整体容貌精致亮眼,风情恰到好处,既有少女的灵动,又有成熟女性的动人韵味。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍213🔥1

25 Aug 2026, 10:18 UTC208 views25 reactions6 Starsread 28 August 2026
Photo

位置: 郑州管城 📍 艺名: #豆瓣酱 个人描述: 一双清亮的杏眼温润有神,目光澄澈柔和,弯弯的眉毛自然舒展。脸型线条圆润流畅,肤色通透白皙,鼻尖带着淡淡的小雀斑,添了几分随性的烟火气,唇线柔和,笑起来嘴角轻轻上扬,笑意干净治愈。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍158🔥2

23 Aug 2026, 12:37 UTC287 views32 reactions5 Starsread 28 August 2026
Photo

位置: 郑州管城 📍 艺名: #小君君 个人描述: 温润干净,眼型柔和舒展,眉眼淡淡的,没有浓烈的修饰。脸型线条柔和流畅,肤色清透白净,唇色浅淡温润。整体气质安静素雅,像晚风一样清爽,自带淡淡的温柔氛围感,干净又舒服。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍273🔥2

23 Aug 2026, 12:28 UTC248 views27 reactions7 Starsread 28 August 2026
Photo

位置: 郑州管城 📍 艺名: #小冉 (过山车) 个人描述: 乌黑顺滑的长直发垂落肩头,发丝乌黑发亮。一双圆圆的小鹿眼清澈柔和,眼尾微微带着淡淡的氛围感,脸蛋小巧饱满,肤色白皙通透,粉调的脸颊衬得气质软嫩,唇瓣粉嫩水润。整体五官柔和幼态,神情安静温婉,浑身散发着清甜干净的少女气息。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍204🔥2🥰1

22 Aug 2026, 13:13 UTC280 views3 reactionsread 28 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5953117468

👍21

22 Aug 2026, 12:39 UTC232 views25 reactions9 Starsread 27 August 2026
Poll

为新开几位小白纯点赞

  1. 贝贝45%
  2. 小懒猫79%
  3. 沐浴55%
  4. 肉肉39%
  5. 小灵溪66%

The shares total 284%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

👍11🔥113

22 Aug 2026, 12:37 UTC221 views24 reactions5 Starsread 27 August 2026
Photo

位置: 郑州管城 📍 艺名: #小懒猫 个人描述: 眉眼修饰得精致亮眼,眼型偏圆,目光带着一丝娇俏感,脸型小巧,皮肤白皙,唇色红润饱满。一身学院风制服搭配可爱毛绒背包,少女感十足,长相甜中带点小酷,既有学妹的青涩灵动,又带着一点个性张扬的气质。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍212🔥1

21 Aug 2026, 12:34 UTC222 views24 reactions8 Starsread 25 August 2026
Photo

位置: 郑州管城 📍 艺名: #贝贝 个人描述: 乌黑顺滑的长直发垂落肩头,发丝乌黑浓密。一双大大的杏眼清澈明亮,眼型圆润柔和,眉形干净舒展。皮肤白皙通透,脸型小巧精致,唇瓣饱满,妆容可甜可淡。五官精致秀气,既有少女的清甜感,又带着温婉柔和的气质,眉眼间干净灵动,整体长相耐看又有氛围感。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍185🔥1

21 Aug 2026, 12:28 UTC181 views19 reactions8 Starsread 24 August 2026
Photo

位置: 郑州管城 📍 艺名: #小灵溪 个人描述: 眼型偏狭长,眼眸清透,眼妆柔和,眉眼带着一点慵懒的氛围感。脸型小巧精致,皮肤白皙细腻,鼻梁秀气,唇形饱满,淡淡的唇色显得随性灵动。整体长相甜中带点小酷,兼具少女的娇俏与松弛感,气质随性时髦。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍108🥰1

21 Aug 2026, 12:23 UTC110 views14 reactionsread 22 August 2026
Photo

位置: 郑州管城 📍 艺名: #肉肉 个人描述: 圆圆的杏眼眼尾微微上扬,眼眸明亮,眼妆精致,眉眼秀气。脸型小巧流畅,皮肤白皙通透,鼻梁精致,唇色淡淡的,五官精致柔和。一身水手服衬得气质干净清甜,兼具少女的灵动与温婉,整体长相精致甜美,满满的青春少女感。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍103🔥1

17 Aug 2026, 07:28 UTC328 views31 reactionsread 22 August 2026
Photo

位置: 郑州管城 📍 艺名: #沐宇 个人描述: 及肩的深棕长发蓬松柔和,细碎刘海落在额前,衬得脸庞愈发小巧。圆圆的大眼睛清澈水灵,眼神懵懂,腮红浅浅铺在两颊,平添几分娇憨。五官精致柔和,没有尖锐的棱角,满满的少女感扑面而来。神态软软糯糯,乖巧又甜美,一颦一笑都透着天真烂漫的气息,看着温柔又治愈。 课费: 9/p 自带🏠 可外出 🚗 点击预约 🤖双向联系 标签: #郑州上门 #郑州管城

👍207🔥2🥰2

Showing the 12 most recent of 27 posts we hold for @zzlove0001. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

22 Aug 2026, 12:39 UTCAnonymous Poll38 voters

为新开几位小白纯点赞

  1. 贝贝45%
  2. 小懒猫79%
  3. 沐浴55%
  4. 肉肉39%
  5. 小灵溪66%

The shares total 284%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

7 Aug 2026, 12:25 UTCAnonymous Poll60 voters

8月推荐老师点赞

  1. 玫瑰53%
  2. 小雪55%
  3. 星失57%
  4. 大熊米粒50%
  5. 小美62%

The shares total 277%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 27 most recent posts we hold, published 5 August 2026 to 28 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Mentions

Named by 1 registered channel — 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“郑州月亮🌙 平价选妃🥇” (@zzlove0001), 8,730 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/zzlove0001.

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.