花房姑娘:小花 四川嫩妹 年龄18 反差超甜,身高169 体重99斤🐻C,可舌吻69情趣内衣黑丝各种姿势配合也可以3p4p 超级乖听话 完美炮架认准链接:https://t.me/Hfxiaohua 妹妹频道:https://t.me/xhehfaa
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Channel
@hfgnpd
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
45,421subscribers
+4,288 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002387872574 |
|---|---|
| Type | Channel |
| Username | @hfgnpd |
| Description | 花房交流群 @hfgnzq |
| 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 | 30 August 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/hfgnpd |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 03:16 | 45,421 | +196 |
| 29 Aug 2026, 05:04 | 45,225 | +232 |
| 28 Aug 2026, 03:26 | 44,993 | +247 |
| 27 Aug 2026, 06:35 | 44,746 | +307 |
| 26 Aug 2026, 03:43 | 44,439 | +173 |
| 25 Aug 2026, 03:07 | 44,266 | +146 |
| 23 Aug 2026, 18:54 | 44,120 | +219 |
| 22 Aug 2026, 05:56 | 43,901 | +210 |
| 20 Aug 2026, 18:13 | 43,691 | +302 |
| 19 Aug 2026, 17:55 | 43,389 | +263 |
| 18 Aug 2026, 19:48 | 43,126 | +337 |
| 17 Aug 2026, 20:53 | 42,789 | +229 |
| 16 Aug 2026, 21:44 | 42,560 | +336 |
| 15 Aug 2026, 15:28 | 42,224 | +543 |
| 14 Aug 2026, 01:05 | 41,681 | +357 |
| 12 Aug 2026, 16:14 | 41,324 | +191 |
| 11 Aug 2026, 17:45 | 41,133 | no change |
| 11 Aug 2026, 17:31 | 41,133 | first reading |
47 posts held, back to 10 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 38 pagesof 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 24 of 47 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 47 (10 August 2026 – 30 August 2026) |
| Views total | 35,800 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 17:42 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 30 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 42 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.
24 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 83.3% | |
| 👍 | 3 | 12.5% | |
| 🔥 | 1 | 4.17% |
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 24 of the 47 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 10 August 2026 to 30 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.
花房姑娘:小花 四川嫩妹 年龄18 反差超甜,身高169 体重99斤🐻C,可舌吻69情趣内衣黑丝各种姿势配合也可以3p4p 超级乖听话 完美炮架认准链接:https://t.me/Hfxiaohua 妹妹频道:https://t.me/xhehfaa
👍1
花房姑娘:小雅 年龄:18身高:162体重:85 胸围:b 可舌吻可舌吻,丝袜jk制服诱惑,无T吹 ,戴T做,青涩可爱舔咪咪 调情 无套口,戴套做 课程:1500p,1800pp,外出+100 联系认准:https://t.me/hfxiaoyay 妹妹的频道:https://t.me/hfxiaoyayy
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花房姑娘:希希 身高:170 体重: 60kg胸围:C 服务:舌吻,接吻。69。胸推。陪浴。。乳交。丝袜。制服。高跟鞋,🈚️套 课程:1800 不限次🈚️套免费,外出加一百 联系认准:@HFxiaoya 妹妹的频道:https://t.me/xiaoyaHf
花房姑娘:希希 身高:170 体重: 60kg胸围:C 服务:舌吻,接吻。69。胸推。陪浴。。乳交。丝袜。制服。高跟鞋,🈚️套 课程:1800 不限次🈚️套免费,外出加一百 联系认准:@HFxiaoya 妹妹的频道:https://t.me/xiaoyaHf
❤1
《花房广告自行辨别真伪》服务介绍: 轻微阳痿早泄1次祛除 脱敏延时持久定期2-3次 提高硬度増长增粗定期3-5次 前高潮喷 飘飘欲仙 前线安康 课费:500-800 微信 :ljlj0377 QQ:2649017330 qq2:3919628937 频道:https://t.me/rrzlj000 TG:@rrzlj99
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花房姑娘:小雅 年龄:18身高:162体重:85 胸围:b 可舌吻可舌吻,丝袜jk制服诱惑,无T吹 ,戴T做,青涩可爱舔咪咪 调情 无套口,戴套做 课程:1500p,1800pp,外出+100 联系认准:https://t.me/hfxiaoyay 妹妹的频道:https://t.me/hfxiaoyayy
花房外援:安娜 身高172 体重53kg 胸C 健身教练兼职模特 白天十点到晚上十点外出兼职 情趣内衣制服诱惑 舌吻口爱臀推阴推 水费:1500p 2500pp 外出+100 联系认准:https://t.me/Hfxiaoyi 妹妹频道:https://t.me/xyuerhf
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花房新人:小蜜蜂 身高160 体重42kg 胸B 三点粉 毛少 极品粉鲍 服务:舌吻 69 培育 调情 按摩丝袜制服 ~满足哥哥各种玩法,可包夜 可以和小蝴蝶双飞 课费:1500p,1800pp。外出加100路费 联系认准 :https://t.me/hfhfjoe 妹妹频道:https://t.me/hfjoehf
❤1
花房外援:KK 性感御姐 身高170 肤白大长腿 体重47kg 胸围c 接吻舌吻69吹箫口爆足交颜射深喉3p双飞车震野战sm道具丝袜制服高跟全能御姐 水费(1700p 2200pp)联系认准:@KkAnnin66166
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花名:小若 年龄:18 身高:162体重:42kg胸围:B 亲亲 丝袜制服 情趣 挑逗 青春甜妹 皮肤光滑 三点粉 课表:1700p 2200pp 联系认准新号:https://t.me/hfgnxn520 妹妹频道:https://t.me/niuniudehf
花房姑娘:小雅 年龄:18身高:162体重:85 胸围:b 可舌吻可舌吻,丝袜jk制服诱惑,无T吹 ,戴T做,青涩可爱舔咪咪 调情 无套口,戴套做 课程:1500p,1800pp,外出+100 联系认准:https://t.me/hfxiaoyay 妹妹的频道:https://t.me/hfxiaoyayy
花房姑娘:心心 年龄:18身高:160体重:85 胸围:b 可舌吻可舌吻,丝袜jk制服诱惑,无T吹 ,戴T做,青涩可爱舔咪咪 调情 无套口,戴套做 课程:1600p,1900pp,外出+100 联系认准:@mamaiiiio 妹妹的频道:https://t.me/znnmdmmd
Showing the 12 most recent of 47 posts we hold for @hfgnpd. 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 — 1,619,517 of 1,627,068entries 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.
Named by 1 registered channel — 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“合肥花房姑娘总榜” (@hfgnpd), 45,421 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/hfgnpd.
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.