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Channel

广州学院派公开榜

@gzxypgk

2 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

66,372subscribers

+2,820 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-1001867835380
TypeChannel
Usernames@gzscp @gzxypgk
Description👉广州学院女神聚集地👈 主群: @GZSCL 榜单: @GZSCP 唯一上榜联系: @yssaberbot 学院优选: @gzxmq 学院报告: @gzxmbg
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held22
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/gzxypgk

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Gz007gk/39995 Aug 2026, 15:16 UTC@gzxypgk/10699 · this entry5 Aug 2026, 15:16 UTC1.00under a minute
@gzxypgk/10713 · this entry6 Aug 2026, 09:40 UTC@Gz007gk/40136 Aug 2026, 09:40 UTC1.00under a minute
@gzxypgk/10743 · this entry7 Aug 2026, 11:04 UTC@Gz007gk/40437 Aug 2026, 11:04 UTC1.00under a minute
@gzxypgk/10752 · this entry7 Aug 2026, 11:14 UTC@Gz007gk/40527 Aug 2026, 11:14 UTC1.00under a minute
@gzxypgk/10761 · this entry7 Aug 2026, 13:31 UTC@Gz007gk/40617 Aug 2026, 13:31 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Gz007gk5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (41)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 5 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @Gz007gk. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

63,55266,37264,9626 August 2026 — 63,552 subscribers6 August 2026 — 63,552 subscribers7 August 2026 — 63,725 subscribers7 August 2026 — 63,964 subscribers8 August 2026 — 64,067 subscribers8 August 2026 — 64,168 subscribers9 August 2026 — 64,267 subscribers9 August 2026 — 64,361 subscribers10 August 2026 — 64,440 subscribers10 August 2026 — 64,616 subscribers11 August 2026 — 64,730 subscribers11 August 2026 — 64,815 subscribers12 August 2026 — 64,991 subscribers12 August 2026 — 65,005 subscribers13 August 2026 — 65,302 subscribers13 August 2026 — 65,343 subscribers14 August 2026 — 65,780 subscribers14 August 2026 — 65,780 subscribers16 August 2026 — 66,093 subscribers16 August 2026 — 66,202 subscribers17 August 2026 — 66,331 subscribers17 August 2026 — 66,372 subscribers6 August 202617 August 2026
22 measurements spanning 11 days, net +2,820. 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 63,129–66,795 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
17 Aug 2026, 17:4666,372+41
17 Aug 2026, 15:0666,331+129
16 Aug 2026, 13:5766,202+109
16 Aug 2026, 05:3866,093+313
14 Aug 2026, 19:3765,780no change
14 Aug 2026, 18:5665,780+437
13 Aug 2026, 13:2865,343+41
13 Aug 2026, 11:5765,302+297
12 Aug 2026, 16:3665,005+14
12 Aug 2026, 09:0464,991+176
11 Aug 2026, 14:4264,815+85
11 Aug 2026, 07:2264,730+114
10 Aug 2026, 16:3264,616+176
10 Aug 2026, 07:3464,440+79
9 Aug 2026, 18:1264,361+94
9 Aug 2026, 08:1364,267+99
8 Aug 2026, 16:3764,168+101
8 Aug 2026, 05:2864,067+103
7 Aug 2026, 19:3363,964+239
7 Aug 2026, 07:0863,725first reading

Engagement

13 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
1.99%
avg views ÷ 66,372 subscribers
Avg views / post
1,320
13 posts measured
Reaction rate
0.143%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 8 of 13 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 9 August 2026
Posts held13 (5 August 20269 August 2026)
Views total17,154
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 13:02 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
787
Videos
107
Links
150

Lifetime counters from Telegram’s own channel header, read 17 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.

Video runtime
36s
Average length
9s

Measured directly from 4 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

16 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 81.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1381.3%
👍212.5%
🔥16.25%

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 8 of the 13 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 16reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 5 August 2026 to 9 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.

Recent posts

9 Aug 2026, 08:49 UTC822 views1 reactionsread 9 August 2026
Photo

🥰江夏女仆97水汇【热榜大场】 #女仆 #白云站 #江夏 #会所 #三元里 #口爆97 #新市 #马务 #黄边 🫠🫠🫠🫠 🫠🫠🫠🫠 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😀😀😀服务内容: 😍丝袜调情 制服诱惑 唇吸 冰火 高山流水,真👅独龙,倒挂金钩 👅手脚 69互动,口爆,过水,漫游,魔棒 /等等、水汇订制顶级服务。打造全广州服务与质量天花板,享受帝王待遇! 全程 #70分钟 时间不到服务不停 🔰❎🛗💠🚭❎✅🈳🚭❇️ 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💎项目价格: B牌699(70分钟)👄1👋1 A牌799(70分钟)👄不限次 S牌899(70分钟)👄不限次 🫠🫠🫠 🫠 🫠🫠🫠 不同牌位技师区别于 年龄 颜值 身材 📱📱📱📱🔣2️⃣2️⃣🔣3️⃣0️⃣🥰 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ ✈️咨

👍1

9 Aug 2026, 07:25 UTC881 viewsread 9 August 2026
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地区:#天河 艺名:#雯雯 验证:✅已视频验证本人 价格:700/1 联系电报: @wenwen9897 频道: https://t.me/wen5253 🏷️标签: #学妹 #舌吻与69式 ✅撰写报告 👥广州学院派

9 Aug 2026, 05:28 UTC≈1,060 views1 reactionsread 9 August 2026
Photo

地区:#天河 艺名:#妞妞 验证:✅已视频验证本人 价格:700/1 联系电报: @aaidkko 频道: https://t.me/+9qaiyaoLRLQxZGY9 🏷️标签: #学妹 #艺术照 ✅撰写报告 👥广州学院派

1

8 Aug 2026, 07:09 UTC≈1,780 views3 reactionsread 9 August 2026
Photo

❗️〽️🌐 广州海珠区顶级97水汇 #海珠 #磨棒 #全裸服务 #97场 #水汇 🥰 特色优点:海珠区顶级莞式,最新一批顶级团队,技师颜值超级高,技师都是由模特,车模,经过东莞顶级桑拿场的导师专业培训的,服务这方面完全属于顶级,场内各种娱乐设施配套齐全,有丰富的海鲜自助餐,也有独立的房间休息,目前邀请了大量水汇博主过来打卡,打造海珠区顶级天花板95/97会所! 💌💌服务内容 丝袜 调情,诱惑,胸推,唇吸,高山流水,毒龙,倒挂金钩,手脚 艳舞 69互动,🥰爆,过水,漫游,全裸,10分钟魔棒,冰火两重天,10分钟毒龙顶级会所订制,各种姿势随便换! 😀😀😀😀😀😀😀😀 🥰 项目价格: B牌:760/70分钟 🉑 预约价720 A牌:870/70分钟 🉑 预约价820 S牌:1010/70分钟 🉑 预约价980 🫠 🫠 会所交流群 🫠 🫠 🫠 🫠 出击报告群 🫠 🫠 以上项目进房选到满意为止🥰 什么类型的都有总有

3

8 Aug 2026, 03:19 UTC≈1,770 views1 reactionsread 9 August 2026
Photo

地区:#天河 艺名:#甜柚柚 验证:✅已视频验证本人 价格:600/1 联系电报: @lln9988 频道: https://t.me/xwj686 🏷️标签: #学姐 #舌吻与69式 ✅撰写报告 👥广州学院派

1

7 Aug 2026, 13:31 UTC≈1,990 views5 reactionsread 9 August 2026
Photo

#广州白云首家嫩妹水汇 🥰白云龙归沐屿97【高质量榜首】 👠#嫩妹质量场 #口碑第一 #97场 📍#白云 #龙归 #嘉禾 #东平 #人和 😇店内24小时免费提供 停车 过夜 自助餐 点餐 水果饮料 干蒸汗蒸 桌球室 乒乓球 棋牌室 电玩机 单人VIP包房过夜 还有商务接待VIP多人包房留宿 #会所 #水汇 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 9️⃣7️⃣服务内容: 艳舞开场 全程👄 丝袜调情 诱惑丝袜 唇吸 冰火 高山流水,真👅独龙,倒挂金钩 👅手脚 69互动,口爆,过水,漫游,磨棒 泰式按摩等等… 澳门标准顶级水汇服务,打造全广州服务与质量天花板! 全程 #80分钟 时间不到服务不停 🔰❎🛗💠🚭❎✅🈳🚭❇️ 🔣🔣🔣水汇频道介绍🔣🔣🔣 🔣🔣🔣技师报告频道🔣🔣🔣 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💎项目价格: B牌———638预约优惠后590 A

3👍1🔥1

7 Aug 2026, 11:14 UTC≈1,330 viewsread 8 August 2026
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🔈广州白云区97水疗热榜排名第1 🥰白云万达星湾国际水汇 97 特色优点:S牌真实顶美嫩模03后 A牌真实00后高颜值技师 全广州S牌最便宜的一家大型97水汇 真实97服务 喜欢什么类型可以现场告知 亲自安排 看不上免门票不收费 诚信经营 以诚相待👍 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 😀😀😀服务内容: 全程👄 丝袜调情 制服诱惑 唇吸 冰火两重天 高山流水,真👅独龙,倒挂金钩 👅手脚 69互动口爆,过水漫游,魔棒,足交,毒龙,倒立式吹,69式吹,猛虎跪式吹,舌头加速旋转吹,泰式按摩/等等、水汇订制顶级97服务,打造全广州服务与质量天花板! 🔣🔣🔣星湾国际水汇频道🔣🔣🔣 🔣🔣🔣星湾国际技师好评榜🔣🔣🔣 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💎项目价格: B牌———698 预约优惠后 638 A牌———798 预约优惠后 738 S牌———898 预约优惠

7 Aug 2026, 11:04 UTC≈1,130 views0 reactionsread 8 August 2026
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💌💌💌广州白云区97水疗热门推荐 👠#口碑第一 #质量场 #95场 #97场 🥰白云金沙洲粤澜湾国际水汇 97 特色优点:S牌真实顶美嫩模03后,超 A牌真实00后高颜值技师 海选(6选1),全天套餐价➕100双飞 真实97服务 喜欢什么类型可以现场告知 亲自安排 看不上免门票不收费 诚信经营 以诚相待] 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💐💐💐服务内容: 全程👄 丝袜调情 制服诱惑 唇吸 冰火两重天 高山流水,真👅独龙,倒挂金钩 👅手脚 69互动口爆,过水漫游,魔棒,足交,毒龙,倒立式吹,69式吹,猛虎跪式吹,舌头加速旋转吹,泰式按摩/等等、水汇订制顶级97服务,打造全广州服务与质量天花板! 🫶🫶🫶粤澜湾水汇频道🫶🫶🫶 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 💎项目价格: B牌———658 预约优惠后 599 A牌———858 预约优惠后 799 超A牌

7 Aug 2026, 08:16 UTC881 views1 reactionsread 7 August 2026
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地区:#番禺 艺名:#欢欢 验证:✅已视频验证本人 价格:600/1 联系电报: @hh01201 频道: https://t.me/xinerii2 🏷️标签: #学姐 #舌吻与69式 ✅撰写报告 👥广州学院派

1

6 Aug 2026, 12:30 UTC≈1,200 viewsread 6 August 2026
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地区:#白云 艺名:#糯叽叽 验证:✅已视频验证本人 价格:700/1 联系电报: @nuojiji778 频道: https://t.me/cbm888888 🏷️标签: #学妹 #舌吻 ✅撰写报告 👥广州学院派

6 Aug 2026, 09:40 UTC≈1,280 viewsread 6 August 2026
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地区:#天河 艺名:#美美子 验证:✅已视频验证本人 价格:1288/1 联系电报: @meimeizimmm 频道: https://t.me/meizimm 🏷️标签: #学妹 #颜值 #舌吻与69式 👉报告1👈 ✅撰写报告 👥广州学院派

6 Aug 2026, 08:01 UTC≈1,280 viewsread 6 August 2026
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地区:#天河 艺名:#喜儿 验证:✅已视频验证本人 价格:1000/1 联系电报: @xier111222 频道: @xier222333 🏷️标签: #御姐 #大奶 ✅撰写报告 👥广州学院派

Showing the 12 most recent of 13 posts we hold for @gzxypgk. 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

Citation-graph rank — 184,096 of 1,548,671entries 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.

Mentions

Named by 17 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.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“广州学院派公开榜” (@gzxypgk), 66,372 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/gzxypgk.

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.