😛 名称:#空乘小水 📍 地区:#武汉 💰 价格:#8P #15PP 😒 认证:#视频认证 ✈️ 联系:@wuhanxiaoshui 💟 频道:https://t.me/+6mZrEw0iuv8wOGEx 🤖 双向:@wuhanxiaoshuibot 🏷 标签:#全套 #黑丝 #高跟
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Channel
@hanwurzzy
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
85,055subscribers
+45,612 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002453618528 |
|---|---|
| Type | Channel |
| Username | @hanwurzzy |
| Description | 武汉公开榜 个人兼职的老师可以联系管理上榜推广。 业务请联系本群唯一群管理员: @vip999w 武汉交流群: @wuhanwaiwei03 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/hanwurzzy |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 07:10 | 85,055 | +1,030 |
| 10 Nov 2026, 02:17 | 84,025 | +254 |
| 8 Nov 2026, 17:45 | 83,771 | -7 |
| 7 Nov 2026, 11:37 | 83,778 | +84 |
| 6 Nov 2026, 13:54 | 83,694 | +719 |
| 5 Nov 2026, 10:28 | 82,975 | +663 |
| 4 Nov 2026, 06:34 | 82,312 | +405 |
| 3 Nov 2026, 09:35 | 81,907 | +615 |
| 2 Nov 2026, 09:06 | 81,292 | +701 |
| 1 Nov 2026, 06:36 | 80,591 | +505 |
| 31 Oct 2026, 10:08 | 80,086 | +688 |
| 30 Oct 2026, 09:28 | 79,398 | +358 |
| 29 Oct 2026, 12:04 | 79,040 | +819 |
| 28 Oct 2026, 07:49 | 78,221 | +892 |
| 27 Oct 2026, 04:55 | 77,329 | +359 |
| 26 Oct 2026, 02:45 | 76,970 | +677 |
| 25 Oct 2026, 00:09 | 76,293 | +508 |
| 24 Oct 2026, 01:55 | 75,785 | +736 |
| 22 Oct 2026, 22:40 | 75,049 | +321 |
| 21 Oct 2026, 22:26 | 74,728 | first reading |
59 posts held, back to 27 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 187 pages of Telegram’s post history, 20 posts per page.
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 17 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 59 (27 July 2026 – 13 November 2026) |
| Views total | 35,052 |
| Reactions total | 61 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 13:43 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.
Lifetime counters from Telegram’s own channel header, read 13 November 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.
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.
195 reactions across 56 posts, in 7 distinct kinds. The most used accounts for 40.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 79 | 40.5% | |
| 🔥 | 57 | 29.2% | |
| 👍 | 50 | 25.6% | |
| 👌 | 4 | 2.05% | |
| 🥰 | 3 | 1.54% | |
| 💩 | 1 | 0.513% | |
| 🤮 | 1 | 0.513% |
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 56 of the 59 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 195 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 27 July 2026 to 13 November 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.
Telegram’s own ‘edited’ marker: 0 of 18 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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省份:#湖北 地区:#武汉 年龄:20 身高:160 体重:80 罩杯:b 工作还是雪生:雪生 能否接受SM:轻微 能否接受无套:否 能否接受口:可 可同居:可 可过夜:可 可陪伴天数:3天合适可长期 可否其他城市:可 可否飞往外省:可 最快多久出发:提前说 例假什么时候来:12号 可否出guo(除哪一些guo家):可 生活费接受多少:三天1w (生活费短期2次 长期3-4次能否接受):可 自我加分项:性格好 会说话 会提供情绪价值 学过舞蹈 会照顾人 介绍费:7888 GG #包养 🌸真实反馈成交 🌸 尊贵VIP权益 🌸主动私聊强拉均为骗子切勿上当 🌺点击查看>新手必看和地区资源 唯一包养客服 @Baoyxin 双向私聊限制 @Baoyxin_bot
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Showing the 12 most recent of 59 posts we hold for @hanwurzzy. 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.
@hanwurzzy edited 3 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.
We recorded 2 posts on @hanwurzzy as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
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.
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.
@hanwurzzy named 4 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.
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.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“武汉【认证资源】” (@hanwurzzy), 85,055 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/hanwurzzy.
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.