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Channel

深圳少女御姐榜

@Haifpcj

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

64,866subscribers

+1,081 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002252269904
TypeChannel
Username@Haifpcj
Description上榜联系 @SZqqbot 少女御姐群 @SZsnyjqst 报 告 集 @SZsnqstl 报告提交 @SZwukongbot
CreatedBetween 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/Haifpcj

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 88% 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

63,74865,35464,5516 August 2026 — 63,785 subscribers7 August 2026 — 63,748 subscribers8 August 2026 — 63,999 subscribers9 August 2026 — 64,178 subscribers10 August 2026 — 64,133 subscribers11 August 2026 — 64,128 subscribers12 August 2026 — 64,077 subscribers13 August 2026 — 64,040 subscribers14 August 2026 — 64,091 subscribers15 August 2026 — 64,129 subscribers17 August 2026 — 64,220 subscribers18 August 2026 — 64,315 subscribers19 August 2026 — 64,373 subscribers20 August 2026 — 64,624 subscribers21 August 2026 — 64,638 subscribers22 August 2026 — 64,713 subscribers24 August 2026 — 64,743 subscribers25 August 2026 — 64,789 subscribers26 August 2026 — 64,826 subscribers27 August 2026 — 64,855 subscribers28 August 2026 — 64,845 subscribers29 August 2026 — 64,852 subscribers30 August 2026 — 64,877 subscribers31 August 2026 — 64,899 subscribers1 September 2026 — 65,207 subscribers2 September 2026 — 65,223 subscribers3 September 2026 — 65,292 subscribers5 September 2026 — 65,346 subscribers9 September 2026 — 65,129 subscribers11 September 2026 — 65,284 subscribers13 September 2026 — 65,323 subscribers14 September 2026 — 65,325 subscribers16 September 2026 — 65,354 subscribers19 September 2026 — 65,341 subscribers25 September 2026 — 64,866 subscribers64,8666 August 202625 September 2026
35 measurements spanning 50 days, net +1,081. 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 63,507–65,595 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
25 Sept 2026, 12:5864,866-475
19 Sept 2026, 00:3765,341-13
16 Sept 2026, 14:3765,354+29
14 Sept 2026, 21:4165,325+2
13 Sept 2026, 10:5965,323+39
11 Sept 2026, 16:3765,284+155
9 Sept 2026, 00:1965,129-217
5 Sept 2026, 15:1665,346+54
3 Sept 2026, 16:5565,292+69
2 Sept 2026, 09:5465,223+16
1 Sept 2026, 11:2365,207+308
31 Aug 2026, 07:5764,899+22
30 Aug 2026, 11:0464,877+25
29 Aug 2026, 13:5564,852+7
28 Aug 2026, 12:5764,845-10
27 Aug 2026, 15:3964,855+29
26 Aug 2026, 14:2864,826+37
25 Aug 2026, 18:0364,789+46
24 Aug 2026, 16:5764,743+30
22 Aug 2026, 23:4264,713first reading

Engagement

344 posts held, back to 6 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 121 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.20%
avg views ÷ 64,866 subscribers
Avg views / post
1,430
162 posts measured
Reaction rate
0.087%
reactions ÷ views · ER floor
Posts in window
165
of 344 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 107 of 162 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 2 October 2026
Posts held344 (6 August 2026 – 2 October 2026)
Views total231,046
Reactions total146
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 16:44 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
≈1,010
Videos
≈174
Links
≈243

Lifetime counters from Telegram’s own channel header, read 2 October 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
26m 22s
Average length
10s

Measured directly from 159 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

213 reactions across 152 posts, in 5 distinct kinds. The most used accounts for 47.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10147.4%
🔥9946.5%
👍94.23%
😍20.939%
🥰20.939%

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 163 of the 344 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 213 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 344 most recent posts we hold, published 6 August 2026 to 2 October 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

2 Oct 2026, 11:39 UTC946 views4 reactionsread 2 October 2026
Photo

#宝安 #流塘个人工作室 五年按摩经验积累,为抓龙筋技法打下良好基础。 懂肌肉紧绷的痛点,知经络疏导的要点,手法不生硬不蛮力,在舒缓放松的同时,精准助力局部循环畅通,注重客人的体验感套餐中加入了三起三落,脱敏技术 酥麻酸爽让抓龙筋 个人联系:@xiaotana 频道链接:https://t.me/+qFVBdNSbUUo5YmQ1 双向联系机器人:@xiaotang1888_bot ☎️预约上课

❤3🔥1

2 Oct 2026, 07:29 UTC≈1,060 views1 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #芊芊 🏠地区: #宝安 🏦价格: #600p #1200pp 🛫电报: @baoanqianqian1 🎟标签: #嫩妹 #六九 #无套口 #制服 🤹守护骑士: ☎️预约上课

❤1

2 Oct 2026, 05:51 UTC≈1,100 views1 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #小草 🏠地区: #宝安 🏦价格: #800p #1500pp 🛫电报: @Ciiooio 🎟标签: #舌吻 #六九 #嫩妹 🤹守护骑士: 报告 ☎️预约上课

🔥1

2 Oct 2026, 05:22 UTC≈1,100 views1 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #哆啦A梦 🏠地区: #福田 🏦价格: #600p 🛫电报: @ftdlam 🎟标签:#少妇 #性价比 🤹守护骑士: ☎️预约上课

🔥1

1 Oct 2026, 13:39 UTC≈2,460 views3 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #静静 🏠地区: #南山 🏦价格: #1000p #1800p 🛫电报: @jjy3344 🎟标签: #舌吻 #大胸 #嫩妹 #上门 🤹守护骑士: 报告 ☎️预约上课

❤2👍1

1 Oct 2026, 13:21 UTC≈1,160 views2 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #安娜 🏠地区: #南山 🏦价格: #1000p 1800pp 🛫电报: @anna813 🎟标签:#嫩妹 #舌吻 #69 🤹守护骑士: ☎️预约上课

❤2

1 Oct 2026, 12:05 UTC≈2,200 views1 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #玲玲 🏠地区: #罗湖 🏦价格: #600p 🛫电报: @ling3030 🎟标签:#御姐#少妇 🤹守护骑士: ☎️预约上课

🔥1

1 Oct 2026, 11:44 UTC≈2,170 views2 reactionsread 2 October 2026
Photo

👩‍⚖艺名: #蜜桃 🏠地区: #罗湖 🏦价格: #520 🛫电报: @mitao88886666 🎟标签:#白虎#69 🤹守护骑士: ☎️预约上课

❤1🔥1

30 Sept 2026, 16:19 UTC≈2,090 views1 reactionsread 1 October 2026
Photo

👩‍⚖艺名: #蔡文姬 🏠地区: #宝安 🏦价格: #700p 🛫电报: @Wynwyn001 🎟标签:#嫩妹 #舌吻 #大胸 🤹守护骑士: ☎️预约上课

🔥1

30 Sept 2026, 06:37 UTC≈1,360 views1 reactionsread 1 October 2026
Photo

艺名:#小月 地区:#福田 价格:#700p 电报:@xiaoyy555 标签:#嫩妹#舌吻 ☎️预约上课

❤1

30 Sept 2026, 05:47 UTC≈1,330 views2 reactionsread 1 October 2026
Photo

👩‍⚖艺名: #沐沐 🏠地区: #罗湖 🏦价格: #环保550p #800pp 🛫电报: @Chengziaaaa 🎟标签:#甜美御姐妹 #舌吻 69 🤹守护骑士: ☎️预约上课

❤1🔥1

30 Sept 2026, 02:06 UTC≈2,230 views1 reactionsread 1 October 2026
Photo

👩‍⚖艺名: #绵绵 🏠地区: #沙井 🏦价格: #550p 🛫电报: @mianmianmiaomiao 🎟标签:#嫩妹 #筷子腿 #丝袜 🤹守护骑士: ☎️预约上课

❤1

Showing the 12 most recent of 344 posts we hold for @Haifpcj. 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.

Forward network

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.

Mentions

Named by 88 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“深圳少女御姐榜” (@Haifpcj), 64,866 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Haifpcj.

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.