【时间】:2026-08-17 【老师】:欣谣 【留名】:匿名 【评价】:👍 好评 【人照】:7 【颜值】:7 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9 【过程】:东北人,服务好

Channel
呼和浩特艺术学院报告频道(老区)
@wlmqxf
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,277subscribers
-2,077 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003818631563 |
|---|---|
| Type | Channel |
| Username | @wlmqxf |
| Created | Between 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/wlmqxf |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 09:57 | 17,277 | -37 |
| 1 Sept 2026, 08:37 | 17,314 | -6 |
| 31 Aug 2026, 08:25 | 17,320 | -31 |
| 30 Aug 2026, 07:35 | 17,351 | -101 |
| 29 Aug 2026, 10:35 | 17,452 | -230 |
| 28 Aug 2026, 12:03 | 17,682 | -55 |
| 27 Aug 2026, 08:36 | 17,737 | -33 |
| 26 Aug 2026, 11:55 | 17,770 | -146 |
| 25 Aug 2026, 14:45 | 17,916 | -198 |
| 24 Aug 2026, 12:08 | 18,114 | -136 |
| 22 Aug 2026, 23:13 | 18,250 | -300 |
| 21 Aug 2026, 10:07 | 18,550 | -43 |
| 20 Aug 2026, 10:15 | 18,593 | -157 |
| 19 Aug 2026, 12:22 | 18,750 | -151 |
| 18 Aug 2026, 10:12 | 18,901 | -15 |
| 17 Aug 2026, 10:26 | 18,916 | -148 |
| 15 Aug 2026, 20:55 | 19,064 | -59 |
| 14 Aug 2026, 11:23 | 19,123 | -166 |
| 12 Aug 2026, 22:53 | 19,289 | -65 |
| 12 Aug 2026, 07:30 | 19,354 | first reading |
Engagement
70 posts held, back to 9 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 9 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.06%
- avg views ÷ 17,277 subscribers
- Avg views / post
- 702
- 70 posts measured
- Reaction rate
- 0.171%
- reactions ÷ views · ER floor
- Posts in window
- 70
- of 70 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 30 of 70 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 70 (9 August 2026 – 17 August 2026) |
| Views total | 49,132 |
| Reactions total | 40 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 16:21 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
- 41s
- Average length
- 14s
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
40 reactions across 28 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 40 | 100.0% |
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 30 of the 70 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 9 August 2026 to 17 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
【时间】:2026-08-17 【老师】:D奶小沫 【留名】:匿名 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:8 【综合】:8.67 【过程】:今天约了小沫老师的剧情课 体验了一下SM 总结的来说 感觉良好 老师的服务态度很好 玩具种类齐全 教室安全 环境不错 老师身材也好 到了 床上老师又是一个样子骚气十足 特别会调情 水多 好评
【时间】:2026-08-17 【老师】:懒懒 【留名】:匿名 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:8 【服务】:9 【态度】:10 【环境】:8 【综合】:8.5 【过程】:一进门是我喜欢的类型,很年轻很可爱,颜值在线,身材微胖,妹妹笑的很甜美,看着像学生的感觉,很清纯,简单聊聊后就交水费,洗澡很认真,轻手轻脚的,胸很大,乳晕都是那种粉嫩粉嫩的,奶头很小,手感是真的好,还特别敏感!皮肤光滑,妹妹声音很温柔,服务态度很好,口活也还不错,舔的我很爽,会满足我的想法要求,全身粉粉嫩嫩的,妹妹下面很紧,会配合你,在妹妹美妙的呻吟中缴械投降,事后和妹妹聊了一会很健谈,不会冷场,情商挺高的会提供情绪价值,很活泼的一个妹妹,嫩的都能挤出水,推荐!
【时间】:2026-08-17 【老师】:蓝琪 【留名】:哈哈哈123 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:9 【服务】:10 【态度】:10 【环境】:8 【综合】:8.83 【过程】:山东妹子很不错啊,个子高,胸大,不胖,有一点小肚子不影响,态度好,情绪价值给的好,长得也挺好看的,服务都给做。体验特别好,很满意啊,这样的老师体验才值。近期本人体验最好的老师
❤1
【时间】:2026-08-16 【老师】:晴晴 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:恩,来找晴王cj了,亲自下楼接我上楼,环境安静空调也足,服务也很到位,课表上的都有,总体比较满意。顺便说一下最近的工兵,你们敢不敢实事求是啊?把坦克能描述成那么带劲的样子也真是难为你们了。
❤1
【时间】:2026-08-17 【老师】:蓝琪 【留名】:默 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:8 【综合】:8.67 【过程】:人照本来给8.5的,系统不能选,今天是工兵出击,老师真是97年,微胖有点肚子,山东人,吊奶后入很爽,紧💦大流我一大腿,👅舔在背上很,服务很细心,哎作为一个95后,我知道不算嫩妹,但是也不大吧,所以我给的标是嫩妹服务车,个人观点老师做服务真的很用心,每个人要求不一样,我更在乎老师的态度跟情绪价值,所以喜欢老师走心服务的可以去试试,会二刷
【时间】:2026-08-17 【老师】:欧阳倩 【留名】:默 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:8 【综合】:9.17 【过程】:跟老师约了尾课,迟到半小时老师也没有不耐心,也没带有情绪这里加分,南方人皮肤自然白,进门一身小白短裙,有一种人妻的感觉,像偷情😂进门先一顿大蟒👅,老师南方人,比较实在,服务做的很细,所以比较流程化,本人比照片好看,特别配合,不太过份都可以接受,老师还有事后潇,目前呼市头一份,还可以车震,户外,慢慢开发,已经建议老师改课表
【时间】:2026-08-17 【老师】:懒懒 【留名】:匿名 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:8 【服务】:9 【态度】:10 【环境】:9 【综合】:8.67 【过程】:约上课后时间一到到达教室楼下懒懒老师 遥控指挥上楼看到老师第一眼的时候很可爱脸上婴儿肥戴个小眼镜微胖看着也就是120 130身材均匀。穿着打扮,很萝莉很可爱懒懒话语气很柔软。会先洗澡服务不错,配合度高,该有的服务都有,不催,出击以来最满意的一次!
【时间】:2026-08-17 【老师】:欣谣 【留名】:匿名 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:9 【服务】:10 【态度】:9 【环境】:8 【综合】:8.67 【过程】:华灯初上,夜色阑珊,心有所想随即联系老师,正好有空,快马加鞭前去赴约。一进门老师就开始提供情绪价值,一顿夸,给我整害羞了都,拧开水都没顾上喝,清洗完毕,开始进入正题,课表内容一项不落,过程相当之爽,配合度极高,东北性格豪爽不做作,结束战斗后聊天抽烟温存。 最后总结:服务型老师,颜值可以,耐看;身材无赘肉;唯一不足,🐻是假的,稍硬,推时候感觉不大,但是过程相当之愉悦,可以给到人上人了。
【时间】:2026-08-17 【老师】:欧阳方媛 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:我要的上门 老师按照要求带的情趣内衣 然后先给洗浴 后面就开始服务 服务真的是太好了 恰到好处的那种感觉 硬而不射 缓过神来 准备二刷
【时间】:2026-08-17 【老师】:懒懒 【留名】:🙉🙉 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:8 【服务】:9 【态度】:10 【环境】:8 【综合】:8.5 【过程】:如果说初遇时候太过惊艳,足够铭记好几百年,昨天看到懒懒照片时,就惊为天人,如何能够放得下,念念不忘,必有回响,约好时间,上楼,开门,毫不夸张,人照基本无差,所见即所得,如果说要形容这莫名感觉,恰当不过一眼万年,所谓一见钟情,不外如是。洗完澡,进入房间,屋内干净、整洁,两个人坦诚相见,温润的肉体交融在一起,不分彼此,过程不表,无可挑剔。性格、态度都非常好,很活泼开朗,而且懒懒本来颜值就很高,又喜欢笑,笑起来再配上一双灵动的大眼睛,堪称绝色,身材更是没话说,凹凸有致,该有肉的地方一点不少,皮肤粉粉嫩嫩的,很有感觉,无可挑剔的一次体验。值得推荐给大家!
❤1
【时间】:2026-08-17 【老师】:乖乖女 【留名】:风车 zy 【评价】:👍 好评 【人照】:7 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:9 【综合】:8.67 【过程】:开开心心舒服 物超所值 服务太吊了 无敌
Showing the 12 most recent of 70 posts we hold for @wlmqxf. 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.
Citation-graph rank
Citation-graph rank — 9,626 of 1,630,085 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“呼和浩特艺术学院报告频道(老区)” (@wlmqxf), 17,277 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/wlmqxf.
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.