#富二代约妹 妹子身材我真喜欢 评论区输入:247 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服

Channel
杭州无忧传媒
@HZnmpg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
14,016subscribers
+415 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003972253743 |
|---|---|
| Type | Channel |
| Username | @HZnmpg |
| Created | Between 1 April 2026 and 26 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/HZnmpg |
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 65% 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 |
|---|---|---|
| 15 Sept 2026, 13:15 | 14,016 | -24 |
| 13 Sept 2026, 21:41 | 14,040 | -27 |
| 12 Sept 2026, 05:38 | 14,067 | +20 |
| 10 Sept 2026, 00:19 | 14,047 | -5 |
| 6 Sept 2026, 16:20 | 14,052 | -89 |
| 4 Sept 2026, 01:57 | 14,141 | +99 |
| 2 Sept 2026, 16:59 | 14,042 | +44 |
| 1 Sept 2026, 15:18 | 13,998 | +5 |
| 31 Aug 2026, 14:43 | 13,993 | +25 |
| 30 Aug 2026, 16:08 | 13,968 | +4 |
| 29 Aug 2026, 14:42 | 13,964 | +15 |
| 28 Aug 2026, 12:56 | 13,949 | +55 |
| 27 Aug 2026, 14:05 | 13,894 | +166 |
| 26 Aug 2026, 15:42 | 13,728 | +2 |
| 25 Aug 2026, 12:18 | 13,726 | -17 |
| 24 Aug 2026, 11:43 | 13,743 | -10 |
| 22 Aug 2026, 20:44 | 13,753 | +12 |
| 21 Aug 2026, 08:28 | 13,741 | -9 |
| 20 Aug 2026, 09:12 | 13,750 | +7 |
| 19 Aug 2026, 09:26 | 13,743 | first reading |
Engagement
64 posts held, back to 26 July 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 55 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.8%
- avg views ÷ 14,016 subscribers
- Avg views / post
- 2,360
- 26 posts measured
- Reaction rate
- 0.215%
- reactions ÷ views · ER floor
- Posts in window
- 26
- of 64 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 25 of 26 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 64 (26 July 2026 – 2 September 2026) |
| Views total | 61,301 |
| Reactions total | 131 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:12 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
- 1m 53s
- Average length
- 19s
Measured directly from 6 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
284 reactions across 59 posts, in 6 distinct kinds. The most used accounts for 43.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 124 | 43.7% | |
| 👍 | 59 | 20.8% | |
| 🔥 | 50 | 17.6% | |
| 💯 | 49 | 17.3% | |
| 🐳 | 1 | 0.352% | |
| 🤔 | 1 | 0.352% |
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 63 of the 64 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 284 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 26 July 2026 to 2 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
杭州一哥 @hz1ge 的出击之路 杭州本地出击白皮书 300份报告 全价位覆盖 https://t.me/yigechuanmei2
❤1👍1💯1🔥1
#杭州炮王 专约清纯女大 妹子真嫩 评论区输入:246 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤1👍1💯1🔥1
#清纯女大 大学生约妹 评论区输入:245 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
👍2❤1💯1🔥1
#嫩妹 表情好销魂 叫床好听 评论区输入:244 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤1👍1💯1🔥1
#颜值御姐 好圆的奶子,奶子真绝 评论区输入:243 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤2👍1💯1🔥1
正品外烟 这家真的很靠谱 需要联系 @jinyuehui 专业靠谱 出门在外身份是自己给的,抽外国烟,身份自然不同,懂得都懂 10几块的红双喜给的身份,能跟10几快的外国烟比? 发烟的时候10几块的红双喜可能掉身份,但是10几块的外烟是提高身份,钱要花在刀刃上,同样的价格不同的身份
❤2👍1💯1🔥1
#颜值大胸嫩妹 好白好大的奶子 评论区输入:242 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤1👍1💯1🔥1
#顶级身材 小姐姐身材绝了,完美的S型 绝佳炮架子,操起来是真的爽 评论区输入:241 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤4👍1💯1🔥1
杭州董事长精品4T会所 游龙戏水 魅惑丝诱 水磨拉丝 仙女漫游 柔情独龙 百变调情 猴子偷桃 胯下游龙 胸推臀推 情趣调情 丝滑乳交 开背指滑 杭州最具性价比双飞,董事长会所 双飞永远都是男人最高级的快乐 双飞仅需:658 两个妹子同时服务 需要联系: @dsz3377 专业靠谱
❤2👍2💯1🔥1
#清纯嫩妹 大学生就是嫩,奶子很白,又软又弹,手感绝佳 评论区输入:240 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤3👍1💯1🔥1
#体育生打桩 这哥们真猛,御姐都扛不住,干的嗷嗷乱叫 评论区输入:239 冠名商家 点击客服直连 ♾杭州出击原创视频大V大D宝宝 📌杭州董事长精品4T会所 唯一客服 🚬免税香烟 国内外烟 半价不到 客服 🌈杭州兼职 学妹萝莉粉嫩类型 客服 📌杭州玖宫阁全裸SPA(自营) 客服 ✈️TG各类业务 买号 会员 礼物 客服
❤1👍1💯1🔥1
Showing the 12 most recent of 64 posts we hold for @HZnmpg. 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.
Posts edited after publishing
@HZnmpg edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 24 August 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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
Named by 3 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.
@sshantia · 27,45652 posts®𝘿𝙖𝙙𝙏𝙑(杭州、上海)
@lyfulishe · 70,36850 posts杭州玖宫阁5t(SPA)体验榜
@Jggspa6686 · 1,69349 posts粉嫩的
@ymBoss963 · 66249 posts全国包养萝莉/处女/学妹(广告频道)
@d016t · 82 posts金悦汇🪢越代口粮
@jinyuehuisvip · 9431 post杭州星河美人屿
@mzhn1314 · 11,9111 post金悦汇🪢客户反馈
@shibadai · 4641 post杭州一哥传媒
@yigechuanmei2 · 20,8251 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 September 2026 — this entry's latest reading, not the date you are reading this.
“杭州无忧传媒” (@HZnmpg), 14,016 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/HZnmpg.
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.