【老 师 艺 名】#洛洛 【所 在 位 置】#昆明 【茶 位】#8P #15PP 【服 务 类 型】#陪浴 #胸推 #调情 【联 系 方 式】@pc0288 【老 师 频 道】@zzwm008 【双 向 联 系】@ls0288_bot 备注: #个人老师
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Channel
@kunmingpd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
27,197subscribers
+9,435 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002303534681 |
|---|---|
| Type | Channel |
| Username | @kunmingpd |
| Description | 认证联系: @TShengdi_bot 昆明交流群: @kunmingjlq 🎫个人/中介/会所/外围 认证中心 只做最真实的娱乐资源,真实即可认证 认证通过即可公示! |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 50 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/kunmingpd |
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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 14:39 | 27,197 | +9 |
| 3 Nov 2026, 15:09 | 27,188 | +92 |
| 2 Nov 2026, 16:09 | 27,096 | +104 |
| 1 Nov 2026, 19:38 | 26,992 | +63 |
| 31 Oct 2026, 18:58 | 26,929 | +174 |
| 30 Oct 2026, 18:21 | 26,755 | +15 |
| 29 Oct 2026, 16:29 | 26,740 | +118 |
| 28 Oct 2026, 18:59 | 26,622 | +52 |
| 27 Oct 2026, 22:07 | 26,570 | +56 |
| 26 Oct 2026, 20:54 | 26,514 | +164 |
| 25 Oct 2026, 20:37 | 26,350 | +155 |
| 24 Oct 2026, 20:37 | 26,195 | +64 |
| 23 Oct 2026, 18:08 | 26,131 | +166 |
| 22 Oct 2026, 18:07 | 25,965 | +79 |
| 21 Oct 2026, 13:46 | 25,886 | +132 |
| 20 Oct 2026, 07:08 | 25,754 | +190 |
| 19 Oct 2026, 03:40 | 25,564 | +164 |
| 18 Oct 2026, 00:58 | 25,400 | +124 |
| 16 Oct 2026, 23:04 | 25,276 | +227 |
| 15 Oct 2026, 22:17 | 25,049 | first reading |
48 posts held, back to 14 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 100 pages of Telegram’s post history, 20 posts per page.
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 20 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 48 (14 August 2026 – 3 November 2026) |
| Views total | 41,380 |
| Reactions total | 71 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 16:48 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.
Lifetime counters from Telegram’s own channel header, read 4 November 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.
Measured directly from 22 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.
164 reactions across 45 posts, in 6 distinct kinds. The most used accounts for 45.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 74 | 45.1% | |
| 🔥 | 42 | 25.6% | |
| 👍 | 36 | 22.0% | |
| 🥰 | 9 | 5.49% | |
| 😁 | 2 | 1.22% | |
| 💩 | 1 | 0.61% |
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 45 of the 48 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 164 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 14 August 2026 to 3 November 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.
Telegram’s own ‘edited’ marker: 0 of 23 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
【老 师 艺 名】#洛洛 【所 在 位 置】#昆明 【茶 位】#8P #15PP 【服 务 类 型】#陪浴 #胸推 #调情 【联 系 方 式】@pc0288 【老 师 频 道】@zzwm008 【双 向 联 系】@ls0288_bot 备注: #个人老师
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【老 师 艺 名】#安雅 【所 在 位 置】#昆明 #官渡 【茶 位】#6P #11PP 【服 务 类 型】#全套 【联 系 方 式】@anya12303 【老 师 频 道】@sj28383 【双向机器人】@anya28484bot 备注: #个人老师 #视频认证
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省份: #云南 城市: #昆明 年龄:21 身高:161 体重:44kg 罩杯:34C 学历:研究生 职业或学生:学生 是否是chu女:否 可不可以口:可 是否可无套:可 是否可内🐍:否 是否可SM:轻微 有没有纹身和抽烟:否 是否能去周边城市:可 是否能去外省:可 是否可过夜:可 是否可同居:可 大概姨妈日期:14-18 月可陪伴天数:8~12(提前沟通) 月生活费要多少:3天9k 分几次给生活费:两次 对金主的雷点(不接受):不能走肛门 自我介绍加分项:乖巧听话,温柔懂事,情商高,会提供情绪价值做你的解语花,白虎,🛏上配合度高,会迎合,愿意学习 介绍费 7888 百花阁11…
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#昆明 【风栖宫 · 高端私密会所】🇷🇺 😃😄😄😃😄⭐😀😀😀😀😀😀😀 💎服务没有终点,满意只是开始💎 ⚡️只为把真正的性福交回您手中 📱📱📱 ⚡️恭喜您成为尊贵的会所红牌技师拥有者 🤩点击查看——导航索引🤩 📱📱📱📱 {服务分级} 📱📱📱📱 📱主推 92/ 95/98 < 导航详细流程——点击即可查看 > 🫥可按个人需求选择 😼 🫤臻品十八式深度体验🫤 😓鸳鸯浴暖 · 😓香泡沫影 · 😓御指游龙 😓雪峰起伏 · 😓蜜浪翻腾 · 😓软玉温香 😓蜻蜓点露 · 😓溪水轻绕 · 😓灵舌探幽 😓游龙戏珠 · 😓海底寻珠 · 😓跪侍承欢 😫互动调情 · 按需掌控😫 😳可搭配多种体位变换 · 深度配合 😳完全按您喜好定制,每个项目都有完整情节体验 😳环境私密舒适,稳定安全定期体检 😳无定金 · 透明定价 · 选人满意再付款 😅 < 真实实拍 + 详细报告点击查看 > 📱 ⚡️⚡️客服号: @FXGong520 ⚡️⚡️双向
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老师名称:#诗诗 联系方式:@shishis2 验证留名:All the 上课地点:#官渡 验证时间:10.24 上课价格:600一课 老师年龄:嫩妹 24岁 老师颜值:清秀耐看,笑容甜,第一眼印象不错 老师身材:比例协调,胸真大且形状好看,整体很有视觉冲击力 课室环境:干净整洁 服务项目:课表有写的都有 自由评论:进门后老师主动递水,态度自然热情。随后全自动陪洗,动作认真,还会帮忙擦身,细节做得比较到位。简单服务之后直接进入口的环节,口技明显在线,深喉也舍得做,节奏和力道都掌握得不错,舒适度很高。先女上,视觉效果很强,胸随着动作自然摇晃,观感很加分。过程中反馈比较真实,不会一直假叫或僵硬配合。本来还能再撑十几分钟,确实我也好长时间没有做,老二真的太硬了,中途停下来想稍微缓一缓时,她抱着我微微颤抖的反应很直接,那种真实的生理反馈一下子把我也带了上去,最后没能再多坚持。整体下来最大的优点就是反馈真实、配合自然,胸的条件也出色。个人…
🔥1
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Showing the 12 most recent of 48 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.
We recorded 2 posts on @kunmingpd as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
Named by 9 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@kunmingpd named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“昆明【认证榜】” (@kunmingpd), 27,197 subscribers as measured 4 November 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.