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Telegram profile photo for 云南牛马客栈 ·红牌楼

Channel

云南牛马客栈 ·红牌楼

@NMHp01

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

12,016subscribers

+582 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-1003552762849
TypeChannel
Username@NMHp01
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/NMHp01

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 89% 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

11,43412,21811,8267 August 2026 — 11,434 subscribers7 August 2026 — 11,434 subscribers8 August 2026 — 11,463 subscribers9 August 2026 — 11,483 subscribers10 August 2026 — 11,529 subscribers11 August 2026 — 11,578 subscribers12 August 2026 — 11,615 subscribers14 August 2026 — 11,682 subscribers15 August 2026 — 11,726 subscribers17 August 2026 — 11,775 subscribers18 August 2026 — 11,792 subscribers19 August 2026 — 11,826 subscribers20 August 2026 — 11,859 subscribers21 August 2026 — 11,919 subscribers23 August 2026 — 11,958 subscribers24 August 2026 — 11,998 subscribers25 August 2026 — 12,067 subscribers26 August 2026 — 12,128 subscribers28 August 2026 — 12,180 subscribers28 August 2026 — 12,218 subscribers29 August 2026 — 12,190 subscribers30 August 2026 — 12,210 subscribers1 September 2026 — 12,159 subscribers2 September 2026 — 11,987 subscribers3 September 2026 — 11,967 subscribers5 September 2026 — 11,956 subscribers8 September 2026 — 11,934 subscribers11 September 2026 — 12,016 subscribers12,0167 August 202611 September 2026
28 measurements spanning 35 days, net +582. 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 11,316–12,336 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
11 Sept 2026, 13:4112,016+82
8 Sept 2026, 20:1811,934-22
5 Sept 2026, 14:2011,956-11
3 Sept 2026, 14:3611,967-20
2 Sept 2026, 04:1311,987-172
1 Sept 2026, 00:4612,159-51
30 Aug 2026, 23:4712,210+20
29 Aug 2026, 21:4412,190-28
28 Aug 2026, 22:2512,218+38
28 Aug 2026, 00:5712,180+52
26 Aug 2026, 21:2412,128+61
25 Aug 2026, 20:2712,067+69
24 Aug 2026, 23:4511,998+40
23 Aug 2026, 11:1711,958+39
21 Aug 2026, 21:5711,919+60
20 Aug 2026, 16:0611,859+33
19 Aug 2026, 15:3611,826+34
18 Aug 2026, 13:3811,792+17
17 Aug 2026, 10:2211,775+49
15 Aug 2026, 16:5511,726first reading

Engagement

17 posts held, back to 27 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 45 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
42.2%
avg views ÷ 12,016 subscribers
Avg views / post
5,070
6 posts measured
Reaction rate
0.059%
reactions ÷ views · ER floor
Posts in window
6
of 17 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 30 August 2026
Posts held17 (27 July 202630 August 2026)
Views total30,410
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 23:20 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
50s
Average length
17s

Measured directly from 3 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

91 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 96.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8896.7%
🔥22.20%
😁11.10%

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 16 of the 17 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 91 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 27 July 2026 to 30 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

29 Aug 2026, 04:01 UTC≈3,250 views4 reactionsread 2 September 2026
Photo

😜车评延升专用😜 编号: #牛马·红牌楼0078号 花名: #顺玥 价位: #7P #14PP 服务: 见课表 特色: 见课表 位置: #官渡区 认证: 已视频认证 TG: @xixiya624 推荐:报告81 报告82 报告83 报告84 报告85 报告86 报告87 报告88 不推荐:

4

25 Aug 2026, 14:52 UTC≈5,330 views1 reactionsread 2 September 2026
Photo

编号: #牛马·红牌楼0159号 花名: #师师 价位: #6p #11pp 服务: 见课表 特色:见课表 位置: #西山区 TG: @sisi755 工兵车评: 精英车评: 锐评报告: 推荐:报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 不推荐: 出击群:https://t.me/nmyizhan

1

24 Aug 2026, 06:37 UTC≈4,960 views1 reactionsread 2 September 2026

牙膏老师账号已经更新最新版本👉:@XL1077

1

21 Aug 2026, 05:53 UTC≈6,560 views8 reactionsread 2 September 2026
Photo

#牛马·红牌楼0158号 🈵 🔜【左恩木桶浴海选会所】🔙 🤗昆明官渡区,五华区,西山区, 盘龙区,呈贡区🔴半套 🟡全套 🈶 海选模式, 莞式 🈶 🏝 至尊享受,高端体验 🙋‍♀️ 💋每日出勤技师10~15位任君挑选! 🌸无需定金,无套路,无隐藏消费(靠谱预约 ) 💥专业技师统一岗前培训,不提供照片,到店挑选。 🤗营业时间下午14:00至凌晨四点 🚗停车方便,无充卡,无套路,先消费后买单,满意就做,不满意不做,无任何消费! 另有上门兼职资源,详情私信客服 私信:@kunminzuoen 双向:@kunminzuoenbot 频道:https://t.me/fanxiaozuoen1010 交流群:https://t.me/+hh5fcbalRbk2MjYx 推荐:报告1 报告2 不推荐:

8

16 Aug 2026, 18:39 UTC≈7,680 views4 reactionsread 2 September 2026
Photo

#牛马·红牌楼0157号 心悦包养俱乐部 超高性价的昆明包养服务,本俱乐部都是给各位老板提供真实昆明素人女大和嫩妹包养服务,争取给到各位老板最低价的包养价格和介绍价格,绝对真实和低价,保证各位老板的私密性和安全性,真诚和真实就是我们最大的底气,给各位老板带来最好的一对一会员服务 权益保障:见面后不满意包退包换,在频道和群里已经积累了很多的老客户,并且有老客户反馈发在频道当中 我们的四大优势: 1.不和妹子见面之前不需要你出一分钱,见面满意再付介绍费,杜绝资金风险。 2.所有上榜妹子我们都线下见过,拒绝开盲盒和照骗。 3.售后有保障,如果后续出现妹子跑路给你免费换新,杜绝风险。 4.独家资源:资源独家更新,各种妹子风格,如果上榜妹子和别家有重复,立马下架赔偿。 负责联系人: @yxbaoyang 包养挑选频道:https://t.me/yuxued 讨论群组:https://t.me/+lefXSu9xE0FjM2Q1 推荐:

4

11 Aug 2026, 13:51 UTC≈9,320 views8 reactionsread 2 September 2026
Photo

编号: #牛马·红牌楼0156号 花名: #瑶瑶 价位: #7p #13pp 服务: 见课表 特色:见课表 位置: #盘龙区 认证: 已视频认证 账号已经更新👇 TG: @yy75475 工兵车评:报告1 报告2 精英车评:报告1 报告2 报告3 锐评报告: 推荐:报告1 报告2 报告3 报告4 报告5 报告6 不推荐: 出击群:https://t.me/nmyizhan

8

11 Aug 2026, 13:49 UTC≈8,200 views11 reactionsread 2 September 2026
Photo

编号: #牛马·红牌楼0155号 花名: #若曦 价位: #6p #11pp 服务: 见课表 特色:见课表 位置: #西山区 认证: 已视频认证 约课联系新账号👇 TG: @rxchongshengban 工兵车评: 精英车评:报告1 锐评报告: 推荐:报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13 报告14 报告15 报告16 报告17 报告18 报告19 报告20 报告21 报告22 报告23 报告24 报告25 报告26 报告27 报告28 报告29 报告30 报告31 不推荐:报告1 出击群:https://t.me/nmyizhan

11

11 Aug 2026, 13:48 UTC≈7,380 views5 reactionsread 30 August 2026
Photo

编号: #牛马·红牌楼0154号 花名: #紫霞 价位: #6p #11pp 服务: 见课表 特色:见课表 位置: #官渡区 TG: @kmzixia 工兵车评: 精英车评: 锐评报告: 推荐:报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 不推荐: 出击群:https://t.me/nmyizhan

5

9 Aug 2026, 06:31 UTC≈6,650 views9 reactionsread 25 August 2026
Photo

编号: #牛马·红牌楼0153号 花名: #白鸽 价位: #7p #12pp 服务: 见课表 特色:见课表 位置: #盘龙区 认证: 已视频认证 TG: @baige520 工兵车评:报告1 报告2 精英车评: 锐评报告: 推荐:报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 不推荐: 出击群:https://t.me/nmyizhan

9

4 Aug 2026, 07:51 UTC≈7,280 views12 reactionsread 20 August 2026
Photo

编号: #牛马·红牌楼0152号 花名: #岁岁 价位: #7p #13pp 服务: 见课表 特色:见课表 位置: #西山区 TG: @suisuizuikeai 精英车评:报告1 报告2 报告3 报告4 报告5 报告6 报告7 锐评报告: 推荐:报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 不推荐: 出击群:https://t.me/nmyizhan

10🔥2

Showing the 12 most recent of 17 posts we hold for @NMHp01. 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

@NMHp01 edited 1 post 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
31 August 2026
Most recent edit
31 August 2026

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 4 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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“云南牛马客栈 ·红牌楼” (@NMHp01), 12,016 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/NMHp01.

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.