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Channel
云南—🐮 牛马TV 🐴
@NMTV001
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
14,971subscribers
+4,338 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003970287001 |
|---|---|
| Type | Channel |
| Username | @NMTV001 |
| Created | Between 1 April 2026 and 7 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 18 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/NMTV001 |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 02:41 | 14,971 | +1,885 |
| 15 Sept 2026, 20:19 | 13,086 | -160 |
| 14 Sept 2026, 05:38 | 13,246 | -414 |
| 12 Sept 2026, 10:40 | 13,660 | +477 |
| 10 Sept 2026, 06:35 | 13,183 | -404 |
| 7 Sept 2026, 01:20 | 13,587 | -228 |
| 4 Sept 2026, 10:40 | 13,815 | -59 |
| 2 Sept 2026, 20:49 | 13,874 | -24 |
| 1 Sept 2026, 17:35 | 13,898 | -355 |
| 31 Aug 2026, 14:13 | 14,253 | +8 |
| 30 Aug 2026, 17:48 | 14,245 | +8 |
| 29 Aug 2026, 21:13 | 14,237 | -298 |
| 28 Aug 2026, 22:53 | 14,535 | +41 |
| 28 Aug 2026, 01:54 | 14,494 | -165 |
| 27 Aug 2026, 01:27 | 14,659 | +4,023 |
| 25 Aug 2026, 22:47 | 10,636 | +13 |
| 24 Aug 2026, 22:08 | 10,623 | -2 |
| 23 Aug 2026, 11:07 | 10,625 | +1 |
| 20 Aug 2026, 12:41 | 10,624 | -2 |
| 19 Aug 2026, 09:35 | 10,626 | first reading |
Engagement
38 posts held, back to 7 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 29 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.68%
- avg views ÷ 14,971 subscribers
- Avg views / post
- 1,300
- 19 posts measured
- Reaction rate
- 0.138%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 38 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 9 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 38 (7 August 2026 – 2 September 2026) |
| Views total | 24,701 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:30 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
- 3m 25s
- Average length
- 34s
Measured directly from 6 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
18 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 94.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 94.4% | |
| 👍 | 1 | 5.56% |
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 17 of the 38 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 7 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
嫂子应该是川渝的😂
事件详解: 黑榜账号为妹子原来的中介代聊(账号在代聊手里),目前这段时间妹子已经跟了其他代聊(新代聊),原代聊正在使用曾经的上榜账号进行欺诈骗定! 大家请注意不要继续联系 @ww131344 此账号进行约课 妹子跟了新的代聊 新账号为:@yykkds 新代聊表示从不收订约课!大家也需提高警惕,不要轻易给定金!
❗️狼友反馈骗定,已上黑榜❗️ 编号: #牛马·红尘榜0524号 花名: #小思 价位: #6p #11pp 服务: 见课表 特色:见课表 位置: #官渡区 TG: @ww131344 ❗️狼友反馈骗定,已上黑榜❗️ 工兵车评: 精英车评: 报告1 锐评报告: 推荐:报告1 不推荐: 出击群:https://t.me/nmyizhan ❗️狼友反馈骗定,已上黑榜❗️
❤2
不知不觉铁锤妹妹老师的 铁锤 成为了狼友们的打卡道具😂 #牛马故事
❤2
投稿
🎟 抽奖标题: 🎉 昆明·KUN 牛马客栈|红牌老师福利抽奖活动来袭 🎉 ⭐️📣昆明·KUN 牛马客栈 · 灯火长宵 ⭐️📣商家福利抽奖来袭 ⭐️📣使用积分即可进行参与 ⭐️📣中奖者立省 100-300 rmb 本次参与抽奖商家: 编号: #牛马·红牌楼0158号 花名: #昆明左恩木桶浴海选会所 TG: @kunminzuoen 榜单:https://t.me/NMHp01/861 请注意! 中奖人员需在3日内完成出击并且返回本群提交!!车评报告!! 昆明·KUN 牛马客栈 · 灯火长宵 感谢您的支持🫶 消耗积分: 188 积分 定时开奖 2026-09-01 18:30:00 参与关键词: 木桶浴半套 已参与: 42人 🎁 奖品列表: 左恩木桶浴半价优惠卷 X 1 左恩木桶浴100优惠卷 X 4 参与要求: ➕加入 - 云南牛马客栈 ·红牌楼 ➕加入 - 云南—🐮 牛马TV 🐴 ➕加入 …
❤2
狼友投稿: 她走了 好难过 行李箱我也给她丢了 分类:#牛马人物记 #牛马故事 牛马小编:某位三天13次的狼友目送小蛋糕去崩老头后,小蛋糕一去不复返,让群友把她留下的行李箱扔了吧,还留一下一句话:你给不了我想要的...... 最终故事的结尾只剩下一个粉色的行李箱在雨中独自淋雨.....
选择困难症群友的日常~ #葡萄 #putao 牛马小编:拼音学挺好😂
❤1
骗子曝光 群友:怪我自己傻逼... #骗子 #假老师 牛马小编:就是不听劝,天天在群里说不在榜的不要相信,就是头铁
❤1
牛逼群友 一夜七次,休息两日后三天13次!战绩可查! 主角:李嘉图 #牛马人物记 #牛逼人物 #当饭吃
❤1
🎟 抽奖标题: 🎉 昆明·KUN 牛马客栈|红牌老师福利抽奖活动来袭 🎉 ⭐️📣昆明·KUN 牛马客栈 · 灯火长宵 ⭐️📣红牌老师 半价 福利来袭 ⭐️📣使用积分即可进行参与 ⭐️📣中奖者立省 100-400 rmb 本次参与抽奖老师: 编号: #牛马·红牌楼0134号 花名: #檀蜜 TG: @tanmichu 榜单:https://t.me/NMHp01/745 请注意! 中奖人员需在3日内完成出击并且返回本群提交!!车评报告!! 昆明·KUN 牛马客栈 · 灯火长宵 感谢您的支持🫶 消耗积分: 199 积分 定时开奖 2026-08-30 18:30:00 参与关键词: 牛马牛马 已参与: 62人 🎁 奖品列表: 檀蜜老师半价优惠卷 X 1 檀蜜老师100优惠卷 X 1 参与要求: ➕加入 - 云南牛马客栈 ·红牌楼 ➕加入 - 云南—🐮 牛马TV 🐴 ➕加入 - 云南牛马客栈 ·红尘…
❤1
Showing the 12 most recent of 38 posts we hold for @NMTV001. 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
@NMTV001 edited 4 posts 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
- 25 August 2026
- Most recent edit
- 1 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“云南—🐮 牛马TV 🐴” (@NMTV001), 14,971 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NMTV001.
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.