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Channel

杭州【认证榜单】

@gzzypd66

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

26,479subscribers

-2,631 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-1001650290703
TypeChannel
Username@gzzypd66
Description认证联系: @TShengdi_bot 杭州交流群: @hangzhoujlq 🎫个人/中介/会所/外围 认证中心 只做最真实的娱乐资源,真实即可认证 认证通过即可公示!
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/gzzypd66

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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

26,47930,34028,409.57 August 2026 — 29,110 subscribers7 August 2026 — 29,110 subscribers8 August 2026 — 29,155 subscribers9 August 2026 — 29,254 subscribers10 August 2026 — 29,294 subscribers11 August 2026 — 29,338 subscribers12 August 2026 — 29,413 subscribers13 August 2026 — 29,494 subscribers14 August 2026 — 29,684 subscribers15 August 2026 — 29,764 subscribers17 August 2026 — 29,817 subscribers18 August 2026 — 29,852 subscribers19 August 2026 — 29,897 subscribers20 August 2026 — 29,940 subscribers21 August 2026 — 29,965 subscribers22 August 2026 — 30,047 subscribers24 August 2026 — 30,101 subscribers25 August 2026 — 30,147 subscribers26 August 2026 — 30,176 subscribers27 August 2026 — 30,202 subscribers28 August 2026 — 30,298 subscribers28 August 2026 — 30,340 subscribers30 August 2026 — 30,255 subscribers30 August 2026 — 30,042 subscribers31 August 2026 — 29,891 subscribers2 September 2026 — 29,696 subscribers3 September 2026 — 29,372 subscribers5 September 2026 — 29,043 subscribers8 September 2026 — 28,500 subscribers11 September 2026 — 28,010 subscribers13 September 2026 — 27,637 subscribers15 September 2026 — 27,453 subscribers17 September 2026 — 27,167 subscribers19 September 2026 — 26,835 subscribers26 September 2026 — 26,479 subscribers7 August 202626 September 2026
35 measurements spanning 50 days, net -2,631. 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 25,900–30,919 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 12:2026,479-356
19 Sept 2026, 12:3726,835-332
17 Sept 2026, 01:3827,167-286
15 Sept 2026, 01:4227,453-184
13 Sept 2026, 08:0127,637-373
11 Sept 2026, 07:5928,010-490
8 Sept 2026, 10:0128,500-543
5 Sept 2026, 05:1529,043-329
3 Sept 2026, 09:4329,372-324
2 Sept 2026, 00:1529,696-195
31 Aug 2026, 21:2829,891-151
30 Aug 2026, 23:3530,042-213
30 Aug 2026, 00:0430,255-85
28 Aug 2026, 23:3430,340+42
28 Aug 2026, 00:5630,298+96
27 Aug 2026, 02:4630,202+26
26 Aug 2026, 05:0930,176+29
25 Aug 2026, 06:4830,147+46
24 Aug 2026, 09:1130,101+54
22 Aug 2026, 19:5830,047first reading

Engagement

26 posts held, back to 4 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.62%
avg views ÷ 26,479 subscribers
Avg views / post
1,220
15 posts measured
Reaction rate
0.213%
reactions ÷ views · ER floor
Posts in window
15
of 26 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 27 September 2026
Posts held26 (4 August 2026 – 27 September 2026)
Views total18,341
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 02:41 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
≈1,580
Videos
≈222
Links
≈106

Lifetime counters from Telegram’s own channel header, read 30 September 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
40s
Average length
8s

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

73 reactions across 26 posts, in 4 distinct kinds. The most used accounts for 37.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2737.0%
❤2432.9%
👍1824.7%
🥰45.48%

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 26 of the 26 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 73 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 4 August 2026 to 27 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

27 Sept 2026, 03:01 UTC≈1,140 views1 reactionsread 30 September 2026
Photo

心动💗世界 主题莞式会所 #杭州 📱📱八大主题房间 尽享心动💓 📱📱📱 各类情景再现,麻豆剧情演绎 如果普通玩法不满足那🤓🤓🤓🤓 📱 上百套情趣制服,丝袜高跟鞋盛宴 📱 搭配各类皮鞭眼罩道具类玩转4T 📱 00后美女无套口爆,深入体验插入 😀更有莞式十八式之红绳空中飞人 😀又有倒立旋转飞人吹箫 😀再现水磨干磨莞式spa 😀😀😀😀😀😀😀😀😀😀😀 🤣全场海选,组选,每天出勤👍👍 ➕ 🤣主打嫩模,各类兼职,KTV小妹下海捞金 🤣🤣🤣 停车方便😀送红牛中华香烟😀 😀😀😀😀😀😀😀😀😀😀😀 📱📱🤣🤣 🤣🤣🤣🤣 客服号 : @hhhuoddd 双向限制: @hhuodbot 频道: @xingdunai

🔥1

25 Sept 2026, 08:01 UTC≈2,170 views4 reactionsread 30 September 2026
Photo

#义乌 #包养 纯欲款甜妹。🈷️5k起 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

❤2👍1🔥1

24 Sept 2026, 01:18 UTC≈1,200 views3 reactionsread 30 September 2026
Photo

【老 师 艺 名】#鑫鑫 【所 在 位 置】#杭州 #滨江 【茶 位】#6P #7PP 【服 务 类 型】#全套 【联 系 方 式】@feng0215 【老 师 频 道】@hzxinxin 【双向机器人】@fengchun0215bot 备注: #个人老师 #视频认证 报告一 报告二 报告三 报告四 报告五 报告六 报告七 报告八 报告九 报告十 报告十一 报告十二 报告十三 报告十四 报告十五 报告十六 报告十七 报告十八 报告十九 报告二十 报告二一 报告二二

❤1👍1🔥1

20 Sept 2026, 07:40 UTC≈1,320 views1 reactionsread 30 September 2026

【验证留名】:546 【验证时间】:919 【妹子花名】:鑫鑫 【联系方式】: @feng0215 【所在位置】:滨江 【修车水费】:700 【照片相似】:一样 【颜值身材】:高 【凶器罩杯】:c 【服务项目】:课表一样 【服务详情】:pp 【优点缺点】:老师气质型少妇,服务和实力在线,有一次性毛巾和拖鞋,服务口活无齿感进,床上服务热情主动,骚穴淫水多,干了几分钟,老师本人也很健谈不敷衍,不催促,不冷场。其他活也非常顶级,服务非常的到位,穿着丝袜很有感觉,是值得二刷的老师。放心冲

🔥1

19 Sept 2026, 07:44 UTC≈1,310 views4 reactionsread 26 September 2026
Photo

【老 师 艺 名】#甜甜 【所 在 位 置】#杭州 #上虞 【茶 位】#7P #13PP 【服 务 类 型】#全套 【联 系 方 式】@taintian580 【老 师 频 道】@tiantian22500 【双向机器人】@dsaijcis520_bot 备注: #个人老师 #视频认证

👍2❤1🔥1

17 Sept 2026, 06:47 UTC≈1,450 views3 reactionsread 26 September 2026

【学生留名】:feng 【出击时间】:9.16 【老师名字】:#素素 【位置地区】:#杭州 #余杭 【出击消费】:600p 【颜值身材】:人照一致 秀气玲珑 前凸后翘 【服务内容】:舌吻舔蛋蛋六九 【上课体验】:现在是回味时间,整体的体验都是极好的。老师没有一点儿风尘味,笑起来很甜,说话也甜甜的,我觉得就是那种学生情人的感觉,好像回到学生时代一样,我是不喜欢胸部大的吓人的那种,老师的胸部刚好是我喜欢的类型,粉嫩,刚刚好,有感受到老师温热的嘴巴,整根被含的湿湿的,很喜欢这种感觉,满满的征服,很喜欢老师婀娜多姿的腰身,第一次后入很快就结束了,是在老师的娇喘声下成功发射,很棒的体验。晚安,好梦!素素老师!! 【优点缺点】:温柔可人儿 【老师电报】:@susuuu15 【满分打分】:9.5分(满分10分) 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

❤1👍1🔥1

8 Sept 2026, 08:58 UTC≈1,310 views3 reactionsread 26 September 2026
Photo

#杭州 #包养 反差御姐款,月9000起 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

❤1👍1🔥1

8 Sept 2026, 08:57 UTC≈1,170 views3 reactionsread 24 September 2026
Photo

#杭州 #包养 清纯甜妹女大,月两万起 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

❤1🔥1🥰1

8 Sept 2026, 08:57 UTC≈1,070 views3 reactionsread 23 September 2026
Photo

#杭州 #包养 带货网红款女主播,月1.5w起 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

❤1🔥1🥰1

4 Sept 2026, 10:04 UTC11 views1 reactionsread 4 September 2026
Photo

【老 师 艺 名】#鑫鑫 【所 在 位 置】#杭州 #滨江 【茶 位】#6P #7PP 【服 务 类 型】#全套 【联 系 方 式】@feng0215 【老 师 频 道】@hzxinxin 【双向机器人】@fengchun0215bot 备注: #个人老师 #视频认证 报告一 报告二 报告三 报告四 报告五 报告六 报告七 报告八 报告九 报告十 报告十一 报告十二 报告十三 报告十四 报告十五 报告十六 报告十七 报告十八 报告十九 报告二十 报告二一

🔥1

3 Sept 2026, 04:56 UTC≈1,340 views3 reactionsread 4 September 2026
Photo

#杭州 #包养 网红款御姐,月1.5w 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

❤1👍1🔥1

3 Sept 2026, 04:56 UTC≈1,330 views3 reactionsread 4 September 2026
Photo

#杭州 #包养 清纯款纯欲甜妹,月两万 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

❤1👍1🔥1

Showing the 12 most recent of 26 posts we hold for @gzzypd66. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“杭州【认证榜单】” (@gzzypd66), 26,479 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/gzzypd66.

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.