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Channel

贵阳交通大学(公开榜)

@GYZYB

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

34,924subscribers

+9,582 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1003431739664
TypeChannel
Username@GYZYB
Description上榜、投诉唯一联系人: @GYJW_bot 总群: @guiyangxc0 交通大学不会私聊任何人,也不会邀请任何一个老师,但凡私聊你都是骗子,本榜单只负责榜单上的联系方式。
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live19 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/GYZYB

Topic

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 83% 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

25,34234,92430,13314 August 2026 — 25,342 subscribers14 August 2026 — 25,342 subscribers15 August 2026 — 25,635 subscribers16 August 2026 — 25,962 subscribers17 August 2026 — 26,414 subscribers18 August 2026 — 26,732 subscribers19 August 2026 — 27,025 subscribers20 August 2026 — 27,258 subscribers21 August 2026 — 27,655 subscribers23 August 2026 — 28,009 subscribers24 August 2026 — 28,414 subscribers25 August 2026 — 28,646 subscribers26 August 2026 — 28,985 subscribers27 August 2026 — 29,218 subscribers28 August 2026 — 29,671 subscribers29 August 2026 — 30,122 subscribers31 August 2026 — 30,471 subscribers1 September 2026 — 30,807 subscribers2 September 2026 — 31,003 subscribers3 September 2026 — 31,276 subscribers5 September 2026 — 31,708 subscribers8 September 2026 — 32,436 subscribers11 September 2026 — 33,061 subscribers13 September 2026 — 33,482 subscribers14 September 2026 — 33,894 subscribers16 September 2026 — 34,399 subscribers19 September 2026 — 34,924 subscribers14 August 202619 September 2026
27 measurements spanning 35 days, net +9,582. 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 23,905–36,361 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
19 Sept 2026, 02:0234,924+525
16 Sept 2026, 19:1834,399+505
14 Sept 2026, 20:3633,894+412
13 Sept 2026, 03:3633,482+421
11 Sept 2026, 03:5833,061+625
8 Sept 2026, 09:1832,436+728
5 Sept 2026, 04:1931,708+432
3 Sept 2026, 09:2731,276+273
2 Sept 2026, 03:2831,003+196
1 Sept 2026, 03:2530,807+336
31 Aug 2026, 02:0330,471+349
29 Aug 2026, 23:5430,122+451
28 Aug 2026, 23:0729,671+453
27 Aug 2026, 19:3529,218+233
26 Aug 2026, 21:1428,985+339
25 Aug 2026, 19:0428,646+232
24 Aug 2026, 21:4728,414+405
23 Aug 2026, 10:3528,009+354
21 Aug 2026, 23:5527,655+397
20 Aug 2026, 16:0527,258first reading

Engagement

64 posts held, back to 13 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.15%
avg views ÷ 34,924 subscribers
Avg views / post
1,100
38 posts measured
Reaction rate
0.281%
reactions ÷ views · ER floor
Posts in window
38
of 64 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 32 of 38 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 22 September 2026
Posts held64 (13 August 202622 September 2026)
Views total41,782
Reactions total110
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 16:22 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
1,080
Videos
180
Links
250

Lifetime counters from Telegram’s own channel header, read 22 September 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
5m 39s
Average length
10s

Measured directly from 33 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

166 reactions across 46 posts, in 23 distinct kinds. The most used accounts for 33.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5533.1%
🐳2112.7%
💘169.64%
🎃127.23%
🕊116.63%
🤡106.02%
🏆84.82%
💩74.22%
🍌53.01%
🤣31.81%
❤‍🔥21.20%
🍓21.20%
😁21.20%
😢21.20%
🤩21.20%
10.602%
🎉10.602%
💔10.602%
🔥10.602%
🙈10.602%
3 further kinds31.81%

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 52 of the 64 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 166 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 64 most recent posts we hold, published 13 August 2026 to 22 September 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

22 Sept 2026, 13:35 UTC286 views1 reactionsread 22 September 2026
Photo

🔜茜茜老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: 茜茜 所在地区: #贵阳 南明区 详细位置: 花果园 联系方式: 点击获取茜茜联系方式 双向联系: 点击联系茜茜 补课费用: 700p 老师标签: #推荐 #嫩妹 快捷评价: 评价老师 工兵测评: 待评价

1

22 Sept 2026, 11:28 UTC428 viewsread 22 September 2026
Photo

🔜贵阳红街六六海选老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: 贵阳红街六六海选 所在地区: #贵阳 观山湖区 详细位置: 红街 联系方式: 点击获取贵阳红街六六海选联系方式 双向联系: 点击联系贵阳红街六六海选 补课费用: 499p 老师标签: #半套 #海选 #商家 快捷评价: 评价老师 工兵测评: 红街海选会所

21 Sept 2026, 13:03 UTC991 viewsread 22 September 2026
Photo

🔜茉莉老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: 茉莉 所在地区: #贵阳 南明区 详细位置: 花果园 联系方式: 点击获取茉莉联系方式 双向联系: 点击联系茉莉 补课费用: 600p 老师标签: #推荐 #嫩妹 快捷评价: 评价老师 工兵测评: 待评价

20 Sept 2026, 02:27 UTC≈1,440 views1 reactionsread 22 September 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5588577473

1

20 Sept 2026, 02:27 UTC≈1,410 views0 reactionsread 22 September 2026
Photo

🔜CoCo龙筋老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: CoCo龙筋 所在地区: #贵阳 云岩区 详细位置: 喷水池附近 联系方式: 点击获取CoCo龙筋联系方式 双向联系: 点击联系CoCo龙筋 补课费用: 498p 老师标签: #御姐 #服务 快捷评价: 评价老师 工兵测评: 1

19 Sept 2026, 08:13 UTC≈1,430 views6 reactionsread 22 September 2026
Photo

🔜兔牙牙老师共1条评价 综合评分【9.62】 好评100% |中评0% |差评0% 老师艺名: 兔牙牙 所在地区: #贵阳 南明区 详细位置: 只上门 联系方式: 点击获取兔牙牙联系方式 双向联系: 点击联系兔牙牙 补课费用: 700p 老师标签: #推荐 #嫩妹 快捷评价: 评价老师 工兵测评: 待评价

3🎃1🐳1💘1

18 Sept 2026, 07:37 UTC≈1,740 views5 reactionsread 22 September 2026
Photo

🔜LiLy老师共1条评价 综合评分【9.58】 好评100% |中评0% |差评0% 老师艺名: LiLy 所在地区: #贵阳 云岩区 详细位置: 市区 联系方式: 点击获取LiLy联系方式 双向联系: 点击联系LiLy 补课费用: 500p 老师标签: #御姐 #服务 快捷评价: 评价老师 工兵测评: 1

2🍌1🏆1💘1

18 Sept 2026, 03:17 UTC≈1,430 views2 reactionsread 21 September 2026
Photo

🔜贵阳妞妞工作坊老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: 贵阳妞妞工作坊 所在地区: #贵阳 观山湖区 详细位置: 观山湖全区 联系方式: 点击获取贵阳妞妞工作坊联系方式 双向联系: 点击联系贵阳妞妞工作坊 补课费用: 1000无限(100分钟内) 老师标签: #海选 #商家 #推荐 快捷评价: 评价老师 工兵测评: 主打服务,莞式全套共40项极致体验。不用定金事后付,送丝袜一双,可以撕烂的那一种。两人以上为组团,组团优惠一米。 电话: 15628026589 Q群 :1103297343

2

17 Sept 2026, 09:41 UTC≈1,310 views1 reactionsread 20 September 2026
Photo

🔜猫猫老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: 猫猫 所在地区: #贵阳 观山湖区 详细位置: 观山湖 联系方式: 点击获取猫猫联系方式 双向联系: 点击联系猫猫 补课费用: 700p 老师标签: #御姐 快捷评价: 评价老师 工兵测评: 待评价

1

17 Sept 2026, 08:26 UTC≈1,020 views0 reactionsread 19 September 2026
Photo

🔜泡芙95老师共1条评价 综合评分【9.5】 好评100% |中评0% |差评0% 老师艺名: 泡芙95 所在地区: #贵阳 观山湖区 详细位置: 金融城 联系方式: 点击获取泡芙95联系方式 双向联系: 点击联系泡芙95 补课费用: 400p 老师标签: #半套 #御姐 #服务 快捷评价: 评价老师 工兵测评: 1

9 Sept 2026, 01:32 UTC46 viewsread 9 September 2026
Photo

🔜老师共0条评价 综合评分【】 好评0% |中评0% |差评0% 老师艺名: 所在地区: #贵阳 详细位置: 联系方式: 点击获取联系方式 双向联系: 点击联系 补课费用: p 老师标签: 快捷评价:https://t.me/GYjijian_bot?start=commentTeacher-TE178891753562 工兵测评: 1 🔲总群:贵阳交通大学

8 Sept 2026, 07:11 UTC717 views4 reactionsread 9 September 2026
Photo

🔜白龄老师共1条评价 综合评分【9.75】 好评100% |中评0% |差评0% 老师艺名: 白龄 所在地区: #贵阳 南明区 详细位置: 花果园 联系方式: 点击获取白龄联系方式 双向联系: 点击联系白龄 补课费用: 500p 老师标签: #女友感 #推荐 #御姐 快捷评价: 评价老师 工兵测评: 待评价

🎃1🏆1🐳1🥰1

Showing the 12 most recent of 64 posts we hold for @GYZYB. 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 edited after publishing

@GYZYB edited 1 post 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.

First edit seen
15 August 2026
Most recent edit
15 August 2026

Mentions

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

“贵阳交通大学(公开榜)” (@GYZYB), 34,924 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/GYZYB.

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.