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Channel

杭州星选榜

@hzxxbang99

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

25,796subscribers

+1,624 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1004483384503
TypeChannel
Username@hzxxbang99
CreatedBetween 1 June 2026 and 6 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/hzxxbang99

Growth

24,17225,79624,9847 August 2026 — 24,172 subscribers8 August 2026 — 24,222 subscribers9 August 2026 — 24,309 subscribers10 August 2026 — 24,424 subscribers11 August 2026 — 24,511 subscribers12 August 2026 — 24,653 subscribers13 August 2026 — 24,854 subscribers15 August 2026 — 25,220 subscribers16 August 2026 — 25,479 subscribers17 August 2026 — 25,676 subscribers18 August 2026 — 25,796 subscribers7 August 202618 August 2026
11 measurements spanning 11 days, net +1,624. 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 23,928–26,040 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 19:0825,796+120
17 Aug 2026, 21:0325,676+197
16 Aug 2026, 17:3425,479+259
15 Aug 2026, 00:4725,220+366
13 Aug 2026, 13:4824,854+201
12 Aug 2026, 10:4824,653+142
11 Aug 2026, 13:2224,511+87
10 Aug 2026, 13:1924,424+115
9 Aug 2026, 14:1224,309+87
8 Aug 2026, 13:1324,222+50
7 Aug 2026, 16:0124,172first reading

Engagement

13 posts held, back to 6 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 27 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.39%
avg views ÷ 25,796 subscribers
Avg views / post
359
13 posts measured
Reaction rate
0.15%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 13 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 18 August 2026
Posts held13 (6 August 202618 August 2026)
Views total4,668
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 14:14 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
55s
Average length
11s

Measured directly from 5 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 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 3 of the 13 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 13 most recent posts we hold, published 6 August 2026 to 18 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

18 Aug 2026, 10:18 UTC75 viewsread 18 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#暖暖 💰【价格】:#900p #1700pp #9/17 ⭐️【联系】:@nuanlom 🤖【双向】:@NuannkBot 🤩【频道】:https://t.me/nuannm 🏠【地区】:#拱墅区 8️⃣【分类】:#嫩妹 #鸳鸯浴 #无套口 #69 #🐍吻 #制服诱惑

16 Aug 2026, 11:12 UTC255 viewsread 18 August 2026
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#杭州 #萧山 #绍兴 #柯桥 9️⃣5️⃣门店 特色服务:❤️服务如下👇 服务。无套 口爆 全裸四推(胸手足臀) 按摩指划 鼻吸 漫游 毒龙 双凤戏龙:7️⃣4️⃣0️⃣ 单人预约优惠价:4️⃣0️⃣0️⃣ 加钟优惠活动价:7️⃣4️⃣0️⃣ 👍私密安全 🛡停车方便 📱位置:杭州萧山跟绍兴交界 🚀电报客服:@youyou9863 客服电话 : 18857573769 客服微信: 15695858979 🚀直达店铺:https://t.me/tianxinjiedai 私信限制联系:https://t.me/youyou9863bot 营业时间 中午12:00-凌晨03:00 激情无限。诱惑丝袜随便撕! ✅高服务高评价先服务后买单

16 Aug 2026, 08:33 UTC226 viewsread 18 August 2026
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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_104920982

16 Aug 2026, 08:33 UTC230 views1 reactionsread 18 August 2026
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✨ 命运揭晓时刻 ✨ 拱墅区大胸猪猪p半价卷 开奖了 抽奖人数:75,发言达标人数:56,抽奖号数:106 1. kkkkkkkk【祝福2次】 中得:p半价优惠卷 抽奖说明: 最近的抽奖说明(点击可复制): ❶刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息、撤回内容等,一律视为无效发言,取消中奖资格!请用心交流! ❷请三天内约课,五天内完成上课,因炸号,退群,注销账号等原因,超时未兑换等原因的,不予兑奖! ❸活动最终解释权归本群管理团队所有。 ⚠️自言自语刷屏再删消息的都会被永久封禁,且中奖无效!删消息必永久封禁! ❗️❗️❗️中奖人员拉黑30天,出报告解黑,连续中奖3次不去或不出报告永久拉黑 兑奖请联系:@zhuzhumeimeiaa 🔍 杜绝黑幕,点击查看本次开奖全程验证

1

13 Aug 2026, 11:28 UTC475 viewsread 18 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#猪猪 💰【价格】:#800p #1500pp #8/15 ⭐️【联系】:@zhuzhumeimeiaa 🤖【双向】:@zhuzhuleyuanbot 🤩【频道】:https://t.me/zhuzhuleyuanb 🏠【地区】:#拱墅区 8️⃣【分类】:#嫩妹 #鸳鸯浴 #无套口 #69 #🐍吻 #制服诱惑

10 Aug 2026, 10:05 UTC681 views1 reactionsread 18 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#燕燕 💰【价格】:#700p #1200pp #7/12 ⭐️【联系】:@yan1yan520 🤖【双向】:@yan2yanbot 🤩【频道】:https://t.me/yan1yan9966 🏠【地区】:#上城区 8️⃣【分类】:#御姐 #鸳鸯浴 #无套口 #69 #🐍吻 #制服诱惑

1

9 Aug 2026, 10:45 UTC696 viewsread 18 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#小仙女 💰【价格】:#1100p #1900pp #11/19 ⭐️【联系】:@zdfyubn 🤖【双向】:@hzxiaoxiannv_bot 🤩【频道】:https://t.me/hzxiaoxiannv 🏠【地区】:#上城区 8️⃣【分类】:#嫩妹 #鸳鸯浴 #无套口 #69 #🐍吻 #制服诱惑

8 Aug 2026, 14:37 UTC542 viewsread 16 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#梦苏瑶 💰【价格】:#900p #1800pp #9/18 ⭐️【联系】:@mm52124 🤖【双向】:@Meng1314aibot 🤩【频道】:https://t.me/sdf52451 🏠【地区】:#拱墅区 8️⃣【分类】:#嫩妹 #鸳鸯浴 #无套口 #69 #🐍吻 #制服诱惑

7 Aug 2026, 14:38 UTC418 views0 reactionsread 12 August 2026
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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_104920982

7 Aug 2026, 13:57 UTC400 viewsread 12 August 2026
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📊 1条车评,综合分 9.0 好评 100% | 人照 9.0 | 服务 9.0 中评 0% | 颜值 9.0 | 态度 9.0 差评 0% | 身材 9.0 | 环境 9.0 👆 【点击查看评价】 🤩【星媛】:#诗诗 💰【价格】:#700p #1300pp #7/13 ⭐️【联系】:@q7777777az 🤖【双向】:@shishi7_bot 🤩【频道】:https://t.me/shishi71688 🏠【地区】:#萧山区 8️⃣【分类】:#嫩妹 #鸳鸯浴 #无套口 #🐍吻 #制服诱惑

7 Aug 2026, 09:58 UTC238 viewsread 10 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#万涵涵 💰【价格】:#800p #1500pp #8/15 ⭐️【联系】:@wanhanhanhenkeai 🤖【双向】:@wanhanhanbot 🤩【频道】:https://t.me/wanhanhankeaia 🏠【地区】:#上城区 8️⃣【分类】:#嫩妹 #舌吻 #69 #鸳鸯浴 #无套口 #制服丝袜 #道具

6 Aug 2026, 12:52 UTC245 viewsread 9 August 2026
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📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 🤩【星媛】:#林允儿 💰【价格】:#1200p #2200pp #12/22 ⭐️【联系】:@cxdpt 🤖【双向】:@yangmodbot 🤩【频道】:https://t.me/yunerdpdao 🏠【地区】:#上城区 8️⃣【分类】:#嫩妹 #舌吻 #69 #鸳鸯浴 #无套口 #制服丝袜 #深喉

Showing the 12 most recent of 13 posts we hold for @hzxxbang99. 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 — 268,423 of 1,549,704entries 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 8 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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“杭州星选榜” (@hzxxbang99), 25,796 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/hzxxbang99.

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.