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Channel

云南昆明科技大学公开榜

@yunnan001

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

30,852subscribers

+1,646 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003287371227
TypeChannel
Username@yunnan001
Description昆明免费分享资源 上榜认证联系: @Chongsglbot
CreatedBetween 1 October 2025 and 28 February 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/yunnan001

Growth

29,20630,85230,0297 August 2026 — 29,206 subscribers8 August 2026 — 29,298 subscribers9 August 2026 — 29,439 subscribers10 August 2026 — 29,678 subscribers11 August 2026 — 29,912 subscribers12 August 2026 — 30,220 subscribers13 August 2026 — 30,508 subscribers14 August 2026 — 30,852 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net +1,646. 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 28,959–31,099 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 20:5530,852+344
13 Aug 2026, 14:0630,508+288
12 Aug 2026, 13:4430,220+308
11 Aug 2026, 10:4629,912+234
10 Aug 2026, 12:2129,678+239
9 Aug 2026, 10:0129,439+141
8 Aug 2026, 08:3629,298+92
7 Aug 2026, 21:3329,206first reading

Engagement

26 posts held, back to 3 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.81%
avg views ÷ 30,852 subscribers
Avg views / post
1,490
26 posts measured
Reaction rate
0.184%
reactions ÷ views · ER floor
Posts in window
26
of 26 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 24 of 26 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 15 August 2026
Posts held26 (3 August 202615 August 2026)
Views total38,618
Reactions total67
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 04:19 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
907
Videos
141
Links
303

Lifetime counters from Telegram’s own channel header, read 16 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
42s
Average length
8s

Measured directly from 5 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

67 reactions across 23 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
67100.0%

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 26 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 67reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 3 August 2026 to 15 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

15 Aug 2026, 09:08 UTC909 views2 reactionsread 16 August 2026
Photo

小怪兽老师 昆明(#盘龙区)有🏠 约会内容:600p 身高: 161 体重:85 年龄:18 胸: B 可三通 老师电报号: @xiaoguaishousl 双向联系: @wuyatangbot 个人频道: https://t.me/wuyatang0 ✍老师评价: 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

2

15 Aug 2026, 06:39 UTC≈1,050 views3 reactionsread 16 August 2026
Photo

大米老师 昆明(#西山区)有🏠 约会内容:500p 身高: 173 体重:63kg 年龄:18 胸: C 老师电报号: @dami00998 双向联系: @mitangkmbot 个人频道: https://t.me/mitangkm1 ✍老师评价:1 2026.8.15优 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

3

14 Aug 2026, 12:26 UTC≈1,300 viewsread 16 August 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_8781373184

14 Aug 2026, 12:26 UTC≈1,300 views1 reactionsread 16 August 2026
Photo

儿子老师 昆明(#官渡区)有🏠 约会内容:600p 身高: 172 体重:42.5kg 年龄:18 胸: B 老师电报号: @erzikmkm 双向联系: @xingyesxbot 个人频道: https://t.me/xingye0079 ✍老师评价: 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

1

13 Aug 2026, 11:31 UTC≈1,820 views4 reactionsread 16 August 2026
Photo

灰灰老师 昆明(#官渡区)有🏠 约会内容:600p 身高: 162 体重:47.5kg 年龄:19 胸: B 个人介绍:我今年19岁、第一次做这个,不太会的希望大家多包涵吧,会尽力去做好服务的 老师电报号: @huihuikm 双向联系: @bailaoshikmbot 个人频道: https://t.me/baolaoshi7 ✍老师评价:1 2026.8.14棒 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

4

13 Aug 2026, 08:58 UTC≈1,780 views2 reactionsread 16 August 2026
Photo

宝儿老师 昆明(#盘龙区)有🏠 约会内容:700P 身高: 166 体重: 86 年龄: 19 胸: A 个人介绍:不催钟女友式服务初次下海,希望昆明的宝子门温柔对待 老师电报号: @baoerjjj 双向联系: @baoer999bot 个人频道: https://t.me/baoerj0 ✍老师评价: 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

2

12 Aug 2026, 14:27 UTC≈1,790 views3 reactionsread 15 August 2026
Photo

饭饭老师 昆明(#官渡区)有🏠 约会内容:1000P 身高: 174 体重: 104 年龄: 23 胸: B+ 个人介绍:在读研究生(🈶学生证) 第一次做这个会有点害羞,但也会照顾人 老师电报号: @fanfanyjs 双向联系: @fanfanzlbot ✍老师评价:1 2026.8.14棒 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

3

12 Aug 2026, 09:11 UTC≈1,820 views0 reactionsread 15 August 2026
Photo

溜溜老师 昆明(#官渡区)有🏠 约会内容:700P 身高: 160 体重: 88 年龄: 18 胸: B+ 个人介绍:新人,昆明的哥哥温柔对待哦,不耐桩😭 老师电报号: @liuliukm 双向联系: @liuliukmbot 个人频道: https://t.me/liuliukm9 ✍老师评价: 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

11 Aug 2026, 08:41 UTC≈1,860 views5 reactionsread 14 August 2026
Photo

梦婷老师 昆明(#官渡区)有🏠 约会内容:600P 身高: 163 体重: 48kg 年龄: 18 胸: C 个人介绍:极品嫩妹,身材好,长相甜美,人照一致!皮肤白皙 逼紧💧水多多 老师电报号: @az009083 双向联系: @mengting688bot 个人频道: https://t.me/mengting8800 ✍老师评价:2 2026.8.12优 2026.8.13雷 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

5

11 Aug 2026, 07:51 UTC≈1,640 views4 reactionsread 13 August 2026
Photo

小沫老师 昆明(#西山区)有🏠 约会内容:700P 身高: 162 体重: 52kg 年龄: 23 胸: D 个人介绍:大家好,性格活泼好相处,平常兼顾学习与玩乐,心态轻松平和,待人热情真诚,做事靠谱,希望往后多多交流。 老师电报号: @a558796 个人频道: https://t.me/oujia1688 ✍老师评价: 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

4

10 Aug 2026, 06:14 UTC≈1,780 views7 reactionsread 12 August 2026
Photo

小意老师 昆明(#官渡区)有🏠 约会内容:600P 身高: 160 体重: 48kg 年龄: 18 胸: C 个人介绍:妹妹刚下海不是很会,大哥哥些可以来调教,妹妹属于微胖型 水多多 老师电报号: @gdhsjnf 双向联系: @dydscv_bot 个人频道: https://t.me/jfkkde ✍老师评价:1 2026.8.12优 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

7

10 Aug 2026, 06:09 UTC≈1,490 views4 reactionsread 12 August 2026
Photo

金铭玥老师 昆明(#盘龙区)有🏠 约会内容:700P 身高: 164 体重: 48 年龄: 24 胸: 36C 个人介绍:我是乖巧听话,主动热情,风骚,御姐,配合度高的,待哥哥如初恋男友,身材匀称,fw一流,👄活好,BB粉嫩紧致敏感💦多多,喜欢我的哥哥下单预约发定位🈷️ 老师电报号: @jinmingyue168 双向联系: @jinmingyue168tetris_bot 个人频道: https://t.me/+mBEtUJpjKQk3ZWVh ✍老师评价: 提交报告: @kmkjdxbot 账号里输入关键词“写车评”即可提交报告 (写报告奖励100积分 昆明科技大学群聊天群😍

4

Showing the 12 most recent of 26 posts we hold for @yunnan001. 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 — 203,213 of 1,481,217entries 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.

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 8 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“云南昆明科技大学公开榜” (@yunnan001), 30,852 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/yunnan001.

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.