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Channel

昆明【认证榜】

@kunmingpd

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

20,938subscribers

+3,176 since we began measuring on 15 August 2026

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

Register entry

Telegram ID-1002303534681
TypeChannel
Username@kunmingpd
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 August 2026
Last confirmed live19 September 2026
Measurements held25
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/kunmingpd

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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

17,76220,93819,35015 August 2026 — 17,762 subscribers16 August 2026 — 17,805 subscribers17 August 2026 — 17,893 subscribers18 August 2026 — 17,958 subscribers19 August 2026 — 18,017 subscribers20 August 2026 — 18,064 subscribers21 August 2026 — 18,199 subscribers23 August 2026 — 18,314 subscribers24 August 2026 — 18,442 subscribers26 August 2026 — 18,504 subscribers27 August 2026 — 18,578 subscribers28 August 2026 — 18,649 subscribers29 August 2026 — 18,739 subscribers30 August 2026 — 18,877 subscribers31 August 2026 — 18,944 subscribers1 September 2026 — 19,021 subscribers2 September 2026 — 19,102 subscribers4 September 2026 — 19,221 subscribers6 September 2026 — 19,492 subscribers9 September 2026 — 19,844 subscribers12 September 2026 — 20,024 subscribers13 September 2026 — 20,118 subscribers15 September 2026 — 20,296 subscribers17 September 2026 — 20,578 subscribers19 September 2026 — 20,938 subscribers15 August 202619 September 2026
25 measurements spanning 35 days, net +3,176. 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 17,286–21,414 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
19 Sept 2026, 15:2120,938+360
17 Sept 2026, 07:0020,578+282
15 Sept 2026, 08:4120,296+178
13 Sept 2026, 20:2120,118+94
12 Sept 2026, 01:1820,024+180
9 Sept 2026, 14:5719,844+352
6 Sept 2026, 08:3919,492+271
4 Sept 2026, 01:1519,221+119
2 Sept 2026, 15:4319,102+81
1 Sept 2026, 13:4619,021+77
31 Aug 2026, 14:1718,944+67
30 Aug 2026, 16:0618,877+138
29 Aug 2026, 15:0318,739+90
28 Aug 2026, 15:1618,649+71
27 Aug 2026, 18:1418,578+74
26 Aug 2026, 17:5418,504+62
24 Aug 2026, 19:0518,442+128
23 Aug 2026, 00:5618,314+115
21 Aug 2026, 15:5318,199+135
20 Aug 2026, 11:0318,064first reading

Engagement

19 posts held, back to 14 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 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.94%
avg views ÷ 20,938 subscribers
Avg views / post
1,660
12 posts measured
Reaction rate
0.196%
reactions ÷ views · ER floor
Posts in window
12
of 19 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 September 2026
Posts held19 (14 August 20262 September 2026)
Views total19,940
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:32 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

Video runtime
1m 42s
Average length
11s

Measured directly from 9 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 19 posts, in 5 distinct kinds. The most used accounts for 43.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2943.3%
👍1623.9%
🔥1522.4%
🥰57.46%
😁22.99%

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 19 of the 19 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 14 August 2026 to 2 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

2 Sept 2026, 08:29 UTC≈1,090 views2 reactionsread 3 September 2026
Photo

【老 师 艺 名】#洛洛 【所 在 位 置】#昆明 #上门 【茶 位】#8P #15PP 【服 务 类 型】#舌吻 #共浴 #69式 【联 系 方 式】@pc0288 【老 师 频 道】@zzwm008 【双向机器人】@ls0288_bot 备注: #经纪人

2

2 Sept 2026, 06:15 UTC≈1,220 views3 reactionsread 3 September 2026
Photo

【老 师 艺 名】#晶晶 【所 在 位 置】#昆明 #官渡 【茶 位】#9P #15PP 【服 务 类 型】#陪浴 #69式 【联 系 方 式】@JmH88ing 【老 师 频 道】@JmH88B 【双 向 联 系】@JmH88ingbot 备注: #个人老师 #视频认证

1🔥1🥰1

1 Sept 2026, 01:33 UTC≈2,090 views3 reactionsread 3 September 2026
Photo

🤔兰亭集精选全套会所🤔 #昆明 ⚡️⚡️主打颜值 服务 环境 安全为一体的高端私密会所 ⚡️⚡️想玩会所找我,长期靠谱安全稳定 📹全裸艳舞 鸳鸯戏水 水磨推拿🥰 📹口舌调情 后口毒龙 胯下吞龙🥰 📹手推胸推 足推臀推 激情爱爱🥰 📹指划漫游 制服情趣 到店海选🥰 🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣 一直传承老莞式全方位整套会所服务 为男人打造尊享一条龙服务! 🥸🥸🥸🙁🤯😖😏🤬😳😳😳 🤬 到店海选 一对一服务 🤗 🥰全天妹妹在线🔞 学生🤗萝莉🤗少妇🤗嫩模 😲 可双飞👕过夜👕至尊体验 😲 ✨ 无需定金 零门槛 无上门(到店消费安全放心) ⚡️⚡️合作会所每天都有补充颜值高、活好的年轻技师 客服号: @gopd8888 双向

1👍1🔥1

31 Aug 2026, 07:52 UTC≈2,120 views3 reactionsread 3 September 2026
Photo

【老 师 艺 名】#吴哥窟 【所 在 位 置】#昆明 #官渡 【茶 位】#6P #11PP 【服 务 类 型】#全套 #舌吻 #69式 【联 系 方 式】@naitangbba 【老 师 频 道】@bubudawang6 【双向机器人】@naitangbbbot 备注: #个人老师

1👍1🔥1

31 Aug 2026, 07:52 UTC≈1,160 views3 reactionsread 2 September 2026
Photo

【老 师 艺 名】#吴哥窟 【所 在 位 置】#昆明 #官渡 【茶 位】#7P #12PP 【服 务 类 型】#全套 #舌吻 #69式 【联 系 方 式】@naitangbba 【老 师 频 道】@bubudawang6 【双向机器人】@naitangbbbot 备注: #个人老师

1👍1🔥1

28 Aug 2026, 02:22 UTC≈2,430 views4 reactionsread 2 September 2026
Photo

【老 师 艺 名】#周一一 【所 在 位 置】#昆明 #官渡 【茶 位】#7P #13PP 【服 务 类 型】#全套 【联 系 方 式】@kzoskns 【老 师 频 道】https://t.me/+NCvQo63azjllN2Vl 【双向机器人】 备注: #个人老师 #视频认证

2👍1🔥1

27 Aug 2026, 08:21 UTC≈1,430 views3 reactionsread 31 August 2026
Photo

【老 师 艺 名】#舒月 【所 在 位 置】#昆明 #官渡 【茶 位】#7P #13PP 【服 务 类 型】#全套 【联 系 方 式】@qw28383 【老 师 频 道】@sk131455 【双向机器人】@shuye273_bot 备注: #个人老师 #视频认证

1👍1🥰1

26 Aug 2026, 13:52 UTC≈1,440 views4 reactionsread 31 August 2026
Photo

【老 师 艺 名】#老实人 【所 在 位 置】#昆明 #官渡 【茶 位】#7P #12PP 【服 务 类 型】#全套 #舌吻 #69式 【联 系 方 式】@laoshiren007 【老 师 频 道】@yubailt7 【双向机器人】@laoshiren1bot 备注: #个人老师 #视频认证

2🥰1😁1

25 Aug 2026, 12:41 UTC≈1,510 views4 reactionsread 31 August 2026
Photo

【老 师 艺 名】#林依娜 【所 在 位 置】#昆明 #官渡 【茶 位】 #7P #13PP 【服 务 类 型】#共浴 #情趣 #丝袜 【联 系 方 式】@hhfbnnb 【老 师 频 道】https://t.me/+PkZqTQg2zUI0Yzcx 【双向机器人】@kskekkdjxBot 备注: #个人老师 #视频认证

1👍1🔥1🥰1

23 Aug 2026, 11:30 UTC≈1,490 views4 reactionsread 27 August 2026

【报告来源】:美食研究院 【验证留名】:Carol Watson 【验证时间】:8月23日 【修车水费】:700/p 1100/pp 【服务内容】:鸳鸯浴 🐍吻 无套口 69 制服 【颜值身材】:9.0 【凶器罩杯】:B 【体验细节】:闲来无事刷榜单,看着西露老师还挺符合我胃口,于是联系约课,按老师指引顺利到达课室。进门第一眼没失望,身材很好,妆容精致,说话温柔,简直长在我的心巴上。闲聊一会老师叫我先脱衣服洗澡,一进浴室,我就伸出双手大力揉搓老师的大白兔,圆润挺拔,老师发出一阵阵骚叫,小弟弟瞬间梆硬...沐浴完后,躺在床上,有69,老师小穴粉嫩水多,无异味,老师口活一级棒,服务很专心,给我的感觉就是不敷衍,然后我让老师躺着我来服务她,很乖的躺下任我对女朋友一样随便抚摸,随后用手摸了摸老师下面,已经全湿了...我开始带套后入,抽插时胸部随着身体来回晃动,我伸出双手,抓住大白兔冲刺一波,没忍住,出水了😌整体下来还是不错的,听话配

3😁1

23 Aug 2026, 09:54 UTC≈1,510 views3 reactionsread 27 August 2026
Photo

【老 师 艺 名】#雪儿 【所 在 位 置】#昆明 #五华 【茶 位】 #5P #9PP 【服 务 类 型】#共浴 #无套口 #胸推 【联 系 方 式】@aikele666 【老 师 频 道】@aikelebot666 【双向机器人】@aikelebot 备注: #个人老师 #视频认证

1👍1🔥1

21 Aug 2026, 13:58 UTC≈2,450 views3 reactionsread 26 August 2026
Photo

【老 师 艺 名】#安娜 【所 在 位 置】#昆明 #官渡 【茶 位】 #6P #11PP 【服 务 类 型】#无套口 #丝袜 #69式 【联 系 方 式】@yykkds 【老 师 频 道】@lalakkd 【双向机器人】@kknnyh_bot 备注: #个人老师 #视频认证

1👍1🔥1

Showing the 12 most recent of 19 posts we hold for @kunmingpd. 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 3 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“昆明【认证榜】” (@kunmingpd), 20,938 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/kunmingpd.

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.