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Channel

合肥花房姑娘总榜

@hfgnpd

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

76,081subscribers

+34,948 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002387872574
TypeChannel
Username@hfgnpd
Description花房交流群 @hfgnzq
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live7 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/hfgnpd

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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.

Growth

41,13376,08158,60711 August 2026 — 41,133 subscribers11 August 2026 — 41,133 subscribers12 August 2026 — 41,324 subscribers14 August 2026 — 41,681 subscribers15 August 2026 — 42,224 subscribers16 August 2026 — 42,560 subscribers17 August 2026 — 42,789 subscribers18 August 2026 — 43,126 subscribers19 August 2026 — 43,389 subscribers20 August 2026 — 43,691 subscribers22 August 2026 — 43,901 subscribers23 August 2026 — 44,120 subscribers25 August 2026 — 44,266 subscribers26 August 2026 — 44,439 subscribers27 August 2026 — 44,746 subscribers28 August 2026 — 44,993 subscribers29 August 2026 — 45,225 subscribers30 August 2026 — 45,421 subscribers31 August 2026 — 45,550 subscribers1 September 2026 — 45,709 subscribers2 September 2026 — 45,722 subscribers3 September 2026 — 45,783 subscribers4 September 2026 — 45,915 subscribers7 September 2026 — 46,326 subscribers10 September 2026 — 47,181 subscribers12 September 2026 — 47,441 subscribers14 September 2026 — 47,679 subscribers16 September 2026 — 48,184 subscribers18 September 2026 — 48,957 subscribers30 September 2026 — 53,556 subscribers5 October 2026 — 56,666 subscribers9 October 2026 — 58,888 subscribers13 October 2026 — 61,236 subscribers15 October 2026 — 61,983 subscribers16 October 2026 — 62,675 subscribers17 October 2026 — 63,323 subscribers18 October 2026 — 63,979 subscribers19 October 2026 — 64,759 subscribers20 October 2026 — 65,460 subscribers21 October 2026 — 66,034 subscribers22 October 2026 — 66,572 subscribers23 October 2026 — 67,123 subscribers24 October 2026 — 67,603 subscribers25 October 2026 — 68,259 subscribers26 October 2026 — 68,623 subscribers27 October 2026 — 69,077 subscribers28 October 2026 — 69,791 subscribers29 October 2026 — 70,614 subscribers30 October 2026 — 71,080 subscribers31 October 2026 — 71,699 subscribers1 November 2026 — 72,306 subscribers2 November 2026 — 73,123 subscribers3 November 2026 — 73,786 subscribers4 November 2026 — 74,341 subscribers5 November 2026 — 75,045 subscribers6 November 2026 — 75,574 subscribers7 November 2026 — 76,081 subscribers11 August 20267 November 2026
57 measurements spanning 88 days, net +34,948. 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 35,891–81,323 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
7 Nov 2026, 07:5676,081+507
6 Nov 2026, 08:5075,574+529
5 Nov 2026, 09:2075,045+704
4 Nov 2026, 08:1774,341+555
3 Nov 2026, 09:1673,786+663
2 Nov 2026, 08:0073,123+817
1 Nov 2026, 05:3672,306+607
31 Oct 2026, 06:5471,699+619
30 Oct 2026, 05:5771,080+466
29 Oct 2026, 07:2070,614+823
28 Oct 2026, 02:1869,791+714
27 Oct 2026, 04:5869,077+454
26 Oct 2026, 07:2068,623+364
25 Oct 2026, 06:4668,259+656
24 Oct 2026, 08:4067,603+480
23 Oct 2026, 09:3067,123+551
22 Oct 2026, 10:3966,572+538
21 Oct 2026, 06:4066,034+574
20 Oct 2026, 03:2965,460+701
19 Oct 2026, 01:2964,759first reading

Engagement

290 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 175 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.707%
avg views ÷ 76,081 subscribers
Avg views / post
538
104 posts measured
Reaction rate
0.157%
reactions ÷ views · ER floor
Posts in window
104
of 290 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 38 of 104 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 November 2026
Posts held290 (10 August 2026 – 8 November 2026)
Views total55,974
Reactions total35
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 04:58 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
≈1,920
Videos
≈1,470
Links
≈399

Lifetime counters from Telegram’s own channel header, read 8 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.

Video runtime
46m 24s
Average length
11s

Measured directly from 262 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

112 reactions across 82 posts, in 5 distinct kinds. The most used accounts for 86.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9786.6%
👍1210.7%
👎10.893%
🔥10.893%
😁10.893%

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 124 of the 290 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 112 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 290 most recent posts we hold, published 10 August 2026 to 8 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 104 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).

8 Nov 2026, 04:16 UTC101 views1 reactionsread 8 November 2026
Photo

花房外援:妮妮 身高165 体重86斤 胸围b 服务:舌吻69吹箫漫游陪浴丝袜制服高跟鞋可双飞可3p ,可包夜 特色:可以吞精 水费:1700p 2100pp 外出+100 联系认准:https://t.me/hfgnyl 妹妹频道:https://t.me/hfgnylhf

❤1

7 Nov 2026, 08:47 UTC641 viewsread 8 November 2026
Photo

🔰合肥市蜀山区首家全裸🔰9T➕❓ 合肥市蜀山区首家全裸9T全场:499 (评价拍照反馈享受优惠只需480)🎉 🔰合肥市蜀山区全裸🔰9T➕❓ 🏅金牌客服:@XHNB876 🏅加入频道: t.me/XHNB88766 🏅加入群组: t.me/XHNB867 双向机器人🤖: @XHNB888bot 电话预约☎️: 17764477187 微信🛰️1️⃣预约:DJL5846688 QQ🐧1️⃣预约:2826654315 合肥首家全场高颜值 主打00后嫩妹 服务时间60分钟时间内不限次数 营业时间: 12:00-3:00嫩妹 联系客服可安排隐藏服务 隐藏服务 合肥全裸最大的门店海选SPA顶级服务莞式服务一条龙权威认证嫩妹活好 店铺服务: 兄弟们标配服务是主打00后全裸60分钟不限水 全场499好评拍照反馈给我480元 全裸服务:亲嘴 69 舌吻 、逼推 、K推👄 熊推臀推足交丝袜阴推臀推、毛推、腿夹、(小要求妹妹能可以配合的全程…

7 Nov 2026, 07:54 UTC608 viewsread 8 November 2026
Photo

花房姑娘:小九 身高165 体重85胸围B 丝袜jk制服诱惑,无T吹 ,戴T做,听话乖巧温柔可爱妹妹,不做五套 水费:一次1500,两次1800,外出+100路费 联系认准:https://t.me/Hfqiaoyimm 妹妹频道:https://t.me/hfqiaoyi

7 Nov 2026, 06:05 UTC437 viewsread 7 November 2026
Photo

花房外援:小鱼 身高160 体重80斤 胸围b 服务:舌吻69吹箫漫游陪浴丝袜制服高跟鞋会叫爸爸可车震 水费:1700p 2100pp 外出+100,+200可无套内射! 联系认准:@shhfgna 妹妹频道:https://t.me/shhfgnxa

7 Nov 2026, 04:38 UTC70 viewsread 7 November 2026
Photo

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 2300pp 外出+100 联系认准:https://t.me/Hfxiaoyi 妹妹频道:https://t.me/xyuerhf

7 Nov 2026, 04:38 UTC73 viewsread 7 November 2026
Photo

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

6 Nov 2026, 06:48 UTC735 views1 reactionsread 7 November 2026
Photo

花房姑娘:小丸子 身高163 体重95 胸围b 刚下水小嫩妹,亲亲 无套口,戴套做,丝袜制服,女友感拉满,欢迎各位哥哥调教 水费:一次1500p (40分钟)两次1800pp(80分钟),外出+100路费 联系认准:https://t.me/shhfgnmm 妹妹的频道:https://t.me/shhfgnmmhf

❤1

6 Nov 2026, 06:32 UTC511 viewsread 6 November 2026
Photo

花房外援:妮妮 身高165 体重86斤 胸围b 服务:舌吻69吹箫漫游陪浴丝袜制服高跟鞋可双飞可3p ,可包夜 特色:可以吞精 水费:1700p 2100pp 外出+100 联系认准:https://t.me/hfgnyl 妹妹频道:https://t.me/hfgnylhf

6 Nov 2026, 06:28 UTC487 viewsread 6 November 2026
Video

花房姑娘:小樱 身高163 体重103 胸围C 服务:舌吻 培育 调情 按摩丝袜制服 ~满足哥哥各种玩法,湖南嫩妹 特色奶子软,屁股翘 课程:1500p,1800pp。外出加一百路费 联系认准:https://t.me/hfgnxx 妹妹的频道:https://t.me/hfgnxxhf

6 Nov 2026, 03:45 UTC539 viewsread 6 November 2026
Photo

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

5 Nov 2026, 13:34 UTC617 views2 reactionsread 6 November 2026
Photo

合肥心心龙筋SPA 「专属预约制私享感官新体验」 真空诱惑 极致享受 服务简介 1.情趣😍诱惑制服、丝袜👙挑选 2.女友感全身调情按摩+丝足交会爱抚 3.女友感亲密全身指滑漫游+👂语呻吟👃吸 4.贵妃🐻滑+腹部😄推+臀🍑推+趴式身心漫游 5.泰式抓🐉筋+宗筋护理 6.三角淋巴排+3升3落 7.极致性感丝足挑逗+丝袜捆绑龟责 8.🤚🦶🦵多重出💧 9.可搭配男式排毒潮喷🐳 10.亲咪咪😀 情趣蛇绕全身 11.日式调情 激情互动 12.边控高潮+深度寸止榨精磨练 13.双乃挑逗双重高潮😌 A.激情释放抓龙筋 ¥498/50分钟 B.无限释放抓龙筋 ¥598/70分钟 送原味丝袜+丝袜可撕+情趣诱惑挑选 1.🉑亲🉑摸,感受真实女友温存,每一次互动都是充满❤️跳~ 2.先服务后买单,真诚服务,极致体验 3.良家兼职,无大无口 预约联系: @HFzljSPA 双向联系: @HFljspaBot 频 道: @HFlj…

❤2

5 Nov 2026, 08:55 UTC742 viewsread 6 November 2026
Video

花房外援:猫猫 身高170大长腿 体重90斤胸C 亲亲舌吻可丝袜jk制服诱惑,无T吹可深喉可69,可甜可御,可3p超级反差温柔甜妹 课程:1800p,2200pp,外出加一百 联系认准:@mamaiiiio 妹妹的频道:https://t.me/znnmdmmd

Showing the 12 most recent of 290 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.

Posts recorded as deleted after publishing

We recorded 1 post on @hfgnpd 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.

First seen missing
26 August 2026
Most recent seen missing
26 August 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
0

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 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.

Named by

Channels on the register whose posts name this channel's handle.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“合肥花房姑娘总榜” (@hfgnpd), 76,081 subscribers as measured 7 November 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.