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Channel
昆明花荟
@hzhua9
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
52,687subscribers
-5,908 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001613867798 |
|---|---|
| Type | Channel |
| Username | @hzhua9 |
| Description | 老师经过群内管理视频验证,本榜保证百分百为老师本人,如有不符,拒绝上课,随时联系本平台管理客服 ⚠️ 选妃变盲盒?少女变大妈?在本频道,绝无可能! 💥 本榜主拥有多年出击经验,深知市场套路,严打一切“货不对板”行为! |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/hzhua9 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 08:55 | 52,687 | -422 |
| 14 Aug 2026, 00:58 | 53,109 | -872 |
| 12 Aug 2026, 21:02 | 53,981 | -455 |
| 11 Aug 2026, 22:52 | 54,436 | -1,459 |
| 10 Aug 2026, 21:03 | 55,895 | -799 |
| 9 Aug 2026, 23:36 | 56,694 | -392 |
| 9 Aug 2026, 02:31 | 57,086 | -582 |
| 8 Aug 2026, 05:13 | 57,668 | -834 |
| 7 Aug 2026, 06:34 | 58,502 | -93 |
| 6 Aug 2026, 20:00 | 58,595 | no change |
| 6 Aug 2026, 19:51 | 58,595 | first reading |
Engagement
39 posts held, back to 5 August 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 29 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.464%
- avg views ÷ 52,687 subscribers
- Avg views / post
- 244
- 39 posts measured
- Reaction rate
- 0.318%
- reactions ÷ views · ER floor
- Posts in window
- 39
- of 39 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 2 of 39 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 39 (5 August 2026 – 15 August 2026) |
| Views total | 9,533 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 02:22 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
- ≈1,040
- Videos
- ≈562
- Links
- ≈271
Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 3m 45s
- Average length
- 9s
Measured directly from 24 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
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 🎉 | 1 | 50.0% |
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 2 of the 39 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 5 August 2026 to 15 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.
Recent posts
老师艺名:#小羊(兼职) 身材比例:身高:167 体重:92 胸围:D 所在位置:#五华区 联系方式:@xiaoyanjinz 限制联系:@Xxyang_bot 消费价位:800p/1500pp 频道简介:@simixiaoyao 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#曼琳 (瑜伽一字马) 身材比例:身高:168 体重:84 胸围:B+ 所在位置:#官渡区(珥季路附近) 联系方式:@Yoga05ml 限制联系:@skxyogabot 消费价位:900p/1600pp 频道简介:@enthusiastll 昆明交流:https://t.me/+npd3jo4vt7w4YTY9 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#舒婷(06年气质妹妹) 身材比例:身高:166 体重:90 胸围:B+ 所在位置:#呈贡区(斗南站附近) 联系方式:@shutingmm 限制联系:@wsmpstbot 消费价位:700p/1200pp 频道简介:@iaiauum 昆明交流:https://t.me/+npd3jo4vt7w4YTY9 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#柳如烟 身材比例:身高:174 体重:99+ 胸围:E 所在位置:#官渡区 联系方式:@Jueseruyuan 限制联系:@RyJuesebot 消费价位:1500p/2800pp 频道简介:@shewwrejiang 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
🎉1
#频道互推 #相似推荐 ------------------------------ 📢 长沙98 📢 惠州.惠阳.惠城.惠东.博罗全区:TG群友会所💕《旗航店 📢 北京首府 📢 武汉 武汉花满楼 📢 厦门圣殿 📢 武汉 红牌 📢 厦门佳人 📢 大连•牡丹花 📢 常州武进探讨交流坛(真诚靠谱) 📢 南京明妃 ------------------------------ ☁️ 互推入口:@sooo
在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。
❤1
老师艺名:#王富贵 二次元COS 身材比例:身高:168 体重:90 胸围:C 所在位置:#呈贡区 联系方式:@wanfugue 限制联系:@fgggfgybot 消费价位:800p/1500pp 频道简介:@wfgcos2yc 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#波妞 BBW(个人自聊) 身材比例:身高:168 体重:99+ 胸围:E 所在位置:#五华区(吾悦广场附近) 联系方式:@Ponyobbw 限制联系:@BoniuBnbot 消费价位:1500p/2500pp 频道简介:@livelyPonyo 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#馨予 身材比例:身高:165 体重:90 胸围:C 所在位置:#五华区 联系方式:@yunxixigg 限制联系:@hulixibot 消费价位:700p/1400pp 频道简介:@yuyuxingxin 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#宁夏(学妹无中介) 身材比例:身高:165 体重:92 胸围:C 所在位置:#五华区(大河埂附近) 联系方式:@Summernq 限制联系:@Nyssaskbot 消费价位:800p/1500pp 频道简介:@NXRegion 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
老师艺名:#景甜 身材比例:身高:173 体重:99+ 胸围:D 所在位置:#盘龙区 联系方式:@jlmote888 限制联系:@jlmote888bot 消费价位:800p/1500pp 频道简介:@jingtMT 昆明交流:https://t.me/FDBGDFGFD521 😀认证: 视频已认证 押金已交 🙃🙂↕️😋🫰🇸🇸🇸🇾🇨🇭🇱🇨🇱🇨🇰🇷🇿🇦
Showing the 12 most recent of 39 posts we hold for @hzhua9. 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.
Citation-graph rank
Citation-graph rank — 664,819 of 1,480,944entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 6 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.
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.
@sooo · 554,6216 postsTeleTop中文索引官方频道
@TeleTopOrg · 33,0792 posts苏州95💕苏州SPA💕苏州会所💕苏州修车💕苏州半套
@azabbh · 5501 post小茜茜的朋友圈🌍
@CiciPrintModel · 8061 post(湛江)高端外围兼职
@djdjdncns · 1901 post杭州杭城
@feijza · 54,2851 post苏州会所 苏州公寓 苏州外围
@iuiubb · 1821 post温州蝶恋花
@jianzrd · 38,8941 post😍😍欧美AV资源分享
@oumeipio · 171 post长沙会所#长沙丝足#长沙私影#长沙KTV
@plm678 · 4,5781 post日本 AV 动画动漫作品
@rbDongManAV · 961 post小甜心粉丝团💋
@Tianxgogo · 2,2931 post宁波新泡楼
@wanghhh8 · 54,4591 post新币搜🔍@xbso
@xbso · 491,6521 post珠海姑娘场
@ZKAQAD · 47,9761 post高端外围兼职~南宁
@zywojksn · 3101 post
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 August 2026 — this entry's latest reading, not the date you are reading this.
“昆明花荟” (@hzhua9), 52,687 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/hzhua9.
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.