【花名】桑桑 【联系】@okhgxx 【频道】@sangsang520 【位置】萧山 【标签】全裸4t,足交,梦幻口技,毒龙,丝袜,B罩 【价格】400,600 【提示】92 给桑桑写报告 • 查该老师报告 •925报告汇总 Tips:纯天然 ❤️ 无科技 ❤️ 配合度拉满❤️少女感十足❤️

Channel
杭州925半套榜
@hz925t
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
17,027subscribers
+1,828 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003699725756 |
|---|---|
| Type | Channel |
| Username | @hz925t |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/hz925t |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 17:15 | 17,027 | -572 |
| 6 Sept 2026, 12:01 | 17,599 | +82 |
| 4 Sept 2026, 05:41 | 17,517 | +120 |
| 2 Sept 2026, 18:14 | 17,397 | +95 |
| 1 Sept 2026, 18:24 | 17,302 | +456 |
| 31 Aug 2026, 21:25 | 16,846 | +115 |
| 31 Aug 2026, 00:17 | 16,731 | +66 |
| 30 Aug 2026, 01:25 | 16,665 | +19 |
| 28 Aug 2026, 22:45 | 16,646 | +58 |
| 28 Aug 2026, 01:27 | 16,588 | +59 |
| 27 Aug 2026, 04:42 | 16,529 | +73 |
| 26 Aug 2026, 07:11 | 16,456 | +102 |
| 25 Aug 2026, 08:11 | 16,354 | +593 |
| 24 Aug 2026, 05:57 | 15,761 | +145 |
| 22 Aug 2026, 13:02 | 15,616 | +134 |
| 21 Aug 2026, 01:23 | 15,482 | +106 |
| 20 Aug 2026, 01:47 | 15,376 | +65 |
| 19 Aug 2026, 02:57 | 15,311 | +71 |
| 18 Aug 2026, 00:41 | 15,240 | +41 |
| 17 Aug 2026, 09:11 | 15,199 | first reading |
Engagement
63 posts held, back to 16 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 32 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.18%
- avg views ÷ 17,027 subscribers
- Avg views / post
- 882
- 63 posts measured
- Reaction rate
- 0.097%
- reactions ÷ views · ER floor
- Posts in window
- 63
- of 63 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 32 of 63 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 63 (16 August 2026 – 3 September 2026) |
| Views total | 55,562 |
| Reactions total | 34 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:18 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
- 4m 31s
- Average length
- 10s
Measured directly from 28 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
34 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 91.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 91.2% | |
| 👍 | 1 | 2.94% | |
| 🔥 | 1 | 2.94% | |
| 🖕 | 1 | 2.94% |
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 32 of the 63 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 34 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 63 most recent posts we hold, published 16 August 2026 to 3 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
【花名】#江小白 【联系】@jiangxiaobai668 【频道】@afg5636 【位置】#上城区 【标签】#大长腿 #半套 #95半套 #服务系 #毒龙 #包时不限次 #无限火力 【价格】#688h 【提示】95 【报告】 报告1 报告2
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【花名】#紫沫 【联系】@fei_188 【频道】@httpsffdy 【位置】#临平 【标签】#嫩妹 #半套 #全裸4推 #毒龙 #AB面 #丝袜情趣 【价格】400p 800pp 1600(包时无限火力) 【提示】92 【报告】报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11
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【花名】小黎 【联系】@XL959500 【频道】https://t.me/DW2ZOtxzydgxM2Y1 【位置】拱墅 【标签】口爆,毒龙,全身漫游,指划,臀推 【价格】500 【提示】95 给小黎写报告 • 查该老师报告 •925报告汇总 Tips:
【花名】兜兜 【联系】@hayyp_dou 【频道】https://t.me/doudou_368 【位置】上城 【标签】全裸4t,梦幻口技,ab面,无限火力 【价格】400,600 【提示】92 给兜兜写报告 • 查该老师报告 •925报告汇总 Tips:
【花名】阿瑶 【联系】@y1005t 【频道】https://t.me/tcj1005520 【位置】临平 【标签】口爆,毒龙,全身漫游,嫩妹,颜值 【价格】450 【提示】95 给阿瑶写报告 • 查该老师报告 •925报告汇总 Tips:
【花名】十七 【联系】@xihushiqi520 【频道】https://t.me/xihushiqibb 【位置】萧山 【标签】御姐,足交,SM,舔脚 【价格】600 【提示】92 给十七写报告 • 查该老师报告 •925报告汇总 Tips:
Showing the 12 most recent of 63 posts we hold for @hz925t. 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
Named by 2 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.
@hz925bo1 · 4,72025 posts杭州925半套群
@hz925b · 24,5708 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,668,8024 posts小黎·个人95 [定金预约]
@DW2ZOtxzydgxM2Y1 · 6,6933 posts美好时光女仆——群组
@mhsgqz888 · 5,4622 posts兮兮后宫
@wxs11223344 · 1,0202 posts小桃妖的妖精阁
@xiaotaoyao · 1,1252 posts杭州滨江92
@yunmeng66688 · 3692 posts七月🍒阁
@aicm1 · 1,8511 post杭州多多【丝足SPA】92总频道
@Amzst520 · 1,8871 post杭州多多【丝足spa】92会所
@Amzst523 · 5,1751 post杭州KTV_商k佳人录
@hangzhoujiarenlu · 2,0801 post杭州女仆多情便利店排班
@hzdqbldpb · 1,4661 post杭州女仆多情便利店评测
@hzdqbldpc · 4651 post邱邱的家
@qiuqiu663q · 1,6111 post糖糖老师 日常
@tangtangdaily · 8401 post瑶🩵*广播站(杭州95)
@tcj1005520 · 6,0421 post青橘的小屋
@wahahah2004 · 4371 post汪小姐的朋友圈
@wangxiaojie999 · 1,5381 post团子 小窝
@xiaotuanziy · 3361 post小月
@xiaoyue7735 · 831 post十七的调教室
@xihushiqibb · 1,1741 post昕儿36d好评多多
@Xinerhz · 5,2711 post⭕🍑会所介绍 技师点评
@yaochiFK · 4,9261 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@hz925t named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 25 August 2026 – 25 August 2026 · confirmed gone 31 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 4 September 2026 – 4 September 2026
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“杭州925半套榜” (@hz925t), 17,027 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/hz925t.
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.