新生手册: 1. 找榜上的老师,榜单 @km2car 2. 用现金,不见面不转账,上门可收一张路费 3. 见面不满意可以离开,付钱之前别动手动脚 4. 有特殊服务提前说明 5. 约课时提前预估时间,这样双方都不会等太久 6. 如果联系方式无法联系上,可能是你号限制了,试下联系2机器人,如果也不行就换一位 7. 不要有转账,不要有转账,所有被骗都是转账 8. 不要点链接,不要安装APP,不要裸聊,不要理财,全是骗子 祝好好学习,天天向上
❤3👍1😍1

Channel
@km2car
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
14,027subscribers
-8,147 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002556553431 |
|---|---|
| Type | Channel |
| Username | @km2car |
| Description | 昆明滇池 @km1car 昆明老师 @km2car 老师报告 @km3car 盘龙/五华/嵩明/官渡/西山/呈贡 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/km2car |
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 50% 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 |
|---|---|---|
| 7 Nov 2026, 03:39 | 14,027 | -14 |
| 6 Nov 2026, 02:56 | 14,041 | -44 |
| 5 Nov 2026, 01:50 | 14,085 | -23 |
| 4 Nov 2026, 02:41 | 14,108 | -10 |
| 3 Nov 2026, 03:45 | 14,118 | -26 |
| 2 Nov 2026, 05:26 | 14,144 | -36 |
| 1 Nov 2026, 06:59 | 14,180 | -64 |
| 31 Oct 2026, 05:21 | 14,244 | -49 |
| 30 Oct 2026, 02:37 | 14,293 | -61 |
| 28 Oct 2026, 23:55 | 14,354 | -59 |
| 27 Oct 2026, 23:14 | 14,413 | -100 |
| 27 Oct 2026, 00:40 | 14,513 | -41 |
| 26 Oct 2026, 02:29 | 14,554 | -55 |
| 25 Oct 2026, 01:12 | 14,609 | -28 |
| 24 Oct 2026, 00:55 | 14,637 | -78 |
| 23 Oct 2026, 01:07 | 14,715 | -34 |
| 22 Oct 2026, 01:40 | 14,749 | -35 |
| 20 Oct 2026, 22:48 | 14,784 | -11 |
| 19 Oct 2026, 19:48 | 14,795 | -9 |
| 18 Oct 2026, 19:05 | 14,804 | first reading |
14 posts held, back to 14 July 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 63 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.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 14 (14 July 2026 – 12 October 2026) |
| Views total | 3,070 |
| Reactions total | 211 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 18:17 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 7 November 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.
Measured directly from 2 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.
231 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 16.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 39 | 16.9% | |
| 🤩 | 34 | 14.7% | |
| 👍 | 32 | 13.9% | |
| 😍 | 26 | 11.3% | |
| ❤🔥 | 23 | 9.96% | |
| 🥰 | 23 | 9.96% | |
| 🎉 | 21 | 9.09% | |
| 🔥 | 20 | 8.66% | |
| 💯 | 13 | 5.63% |
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 9 of the 14 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 231 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 14 July 2026 to 12 October 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 3 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).
新生手册: 1. 找榜上的老师,榜单 @km2car 2. 用现金,不见面不转账,上门可收一张路费 3. 见面不满意可以离开,付钱之前别动手动脚 4. 有特殊服务提前说明 5. 约课时提前预估时间,这样双方都不会等太久 6. 如果联系方式无法联系上,可能是你号限制了,试下联系2机器人,如果也不行就换一位 7. 不要有转账,不要有转账,所有被骗都是转账 8. 不要点链接,不要安装APP,不要裸聊,不要理财,全是骗子 祝好好学习,天天向上
❤3👍1😍1
📱【花名】#梦琪 🌐【课室】#官渡 💴【学费】 #6p #10pp 🛫【联系】@qqw8901 📱【频道】@mm89012 🫦【标签】#嫩妹 #官渡 #6p #上门 🔥上榜投诉 @vvbjf123 📱 昆明聊天 @km1car 👑报告查找 @tgredpkbot
🤩34👍26😍25❤23❤🔥23🥰22🎉21🔥18
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_6724347226
👍1
Photo, posted without a caption
📱【花名】#冰淇淋 🌐【课室】#官渡 💴【学费】 #7p #12pp 🛫【联系】@kmbb_0610 📱【频道】 t.me/kmbb_0610aa 🫦【标签】#嫩妹 🔥上榜投诉 @vvbjf123 📱 昆明聊天 @km1car
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_6724347226
📱【花名】#林依娜 🌐【课室】#官渡 💴【学费】 #7p #13pp 🛫【联系】@hhfbnnb 📱【频道】 t.me/ienncj 🫦【标签】#嫩妹 🔥上榜投诉 @vvbjf123 📱 昆明聊天 @km1car
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_6724347226
🔔如何避免电报封号一些经验: 1. 新注册养号两天再发言 2. 使用正版app,飞机没有中文版,中文版是假 3. 使用固定欧美ip 4. 不使用来路不明vpn 5. 不主动私信用户 6. 不在短时间发送大量消息 7. 不发广告或发二维码截图 8. 不在短时间内大规模加群 9. 不使用虚似号容易被封
❤2
📱【花名】#嘉嘉 🌐【课室】#官渡 💴【学费】 #7p #13pp 🛫【联系】@jskdndnx 📱【频道】 t.me/+quPuKEsrCs05NDBl 🫦【标签】#嫩妹 🔥上榜投诉 @vvbjf123 📱 昆明聊天 @km1car
❤3👍2🔥1
📱【花名】#小辣椒 🌐【课室】#官渡 💴【学费】#7p #13pp 🛫【联系】@sksmnsmzm 📱【频道】 t.me/+RtgA9lv9Zbs5ZDBl 🫦【标签】#嫩妹 🔥上榜投诉 @vvbjf123 📱 昆明聊天 @km1car
❤2👍1🔥1
经典黑车套路科普 经常有群友问怎么防骗,这里整理一个常见套路,避免再掉坑。 黑车常见特征 1.价格异常低:如 800=3小时不限次、1300/1500包夜,远低于正常市场价。 2.照片过于完美:肤白貌美、学生兼职、空姐良家等旗号。建议先用 百度/谷歌/INS 搜图,十有八九是盗图。 3.话术千篇一律:先问城市和区域,再要求拍酒店房卡正反面。统一说“只带人不带房”。 4.社交软件特征:常见于电报,头像是美女,昵称“小小、暖暖、糖果、温柔”等。 套路类型与操作方式 类型①:假聊党 根本不在你城市,背后是抠脚大汉。 先装作“马上过来”,再说风险大,要你交100–300“诚意金/见面金”。给钱后继续要,各种理由。人没见到就给钱 = 憨批。给两次 = 憨批Plus。 类型②:见面跑路党 说“见面满意再付钱”,也可能真有人来。 常规派:约定1500包夜,做一水就找借口离开(如下楼拿衣服、借充电宝、买水、收东西)。 演技…
❤2
Showing the 12 most recent of 14 posts we hold for @km2car. 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.
Named by 2 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.
@km2car named 1 handle 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.
References a handle that is not a live channel — we have no record it ever was one.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“🅥昆明老师🅥” (@km2car), 14,027 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/km2car.
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.