☎️老师艺名:小姨子 可双飞 💃老师身材: 身高171 体重53KG D🐻 😦老师位置:新城区 💸老师水费:1000p 1700pp 📡老师联系:@XPTmIT 💻老师双向:@xiyi1127bot 📱老师频道:https://t.me/XYin8652 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀

Channel
呼和浩特女营
@ST718B
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
50,171subscribers
+2,877 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001643497812 |
|---|---|
| Type | Channel |
| Username | @ST718B |
| Description | 老师出品,出击售后无忧保障! 本榜所有老师全部经过视频认证,技艺精湛,明码标价,安全保障, 让你修车无忧,舒心快活,安心体验!✅心动不如行动 点击【下方】🉑联系客服 👇 👇👇 联系客服: @HHHbing98 解除双向: @qiwo556bot 🌸 诚信至上,在我们平台交易 安全交易,放心前行! |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 19 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/ST718B |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 21:34 | 50,171 | -220 |
| 26 Aug 2026, 22:16 | 50,391 | +854 |
| 25 Aug 2026, 23:33 | 49,537 | -273 |
| 24 Aug 2026, 23:55 | 49,810 | +935 |
| 23 Aug 2026, 11:45 | 48,875 | -116 |
| 21 Aug 2026, 19:15 | 48,991 | +900 |
| 20 Aug 2026, 17:53 | 48,091 | -123 |
| 19 Aug 2026, 15:18 | 48,214 | -219 |
| 18 Aug 2026, 16:07 | 48,433 | +682 |
| 17 Aug 2026, 19:19 | 47,751 | -618 |
| 16 Aug 2026, 15:15 | 48,369 | +516 |
| 14 Aug 2026, 23:14 | 47,853 | -122 |
| 13 Aug 2026, 11:18 | 47,975 | +238 |
| 12 Aug 2026, 07:31 | 47,737 | -215 |
| 11 Aug 2026, 10:43 | 47,952 | +657 |
| 10 Aug 2026, 11:38 | 47,295 | -389 |
| 9 Aug 2026, 10:11 | 47,684 | +718 |
| 8 Aug 2026, 08:41 | 46,966 | -328 |
| 7 Aug 2026, 19:15 | 47,294 | first reading |
Engagement
55 posts held, back to 5 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 59 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.554%
- avg views ÷ 50,171 subscribers
- Avg views / post
- 278
- 55 posts measured
- Reaction rate
- 0.563%
- reactions ÷ views · ER floor
- Posts in window
- 55
- of 55 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 26 of 55 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 55 (5 August 2026 – 28 August 2026) |
| Views total | 15,278 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 09:29 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
- Photos
- ≈2,870
- Videos
- ≈791
- Links
- ≈153
Lifetime counters from Telegram’s own channel header, read 28 August 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.
- Video runtime
- 6m 27s
- Average length
- 15s
Measured directly from 26 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
26 reactions across 26 posts, in 7 distinct kinds. The most used accounts for 23.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 23.1% | |
| 🔥 | 6 | 23.1% | |
| 👀 | 5 | 19.2% | |
| ❤ | 4 | 15.4% | |
| 🎉 | 2 | 7.69% | |
| 👏 | 2 | 7.69% | |
| 💯 | 1 | 3.85% |
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 26 of the 55 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 5 August 2026 to 28 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
#频道互推 #相似推荐 ------------------------------ 📢 约炮实战记录 📢 修车|站街|扫街 📢 深圳会所95优质店 在线频道 📢 长沙🅢女榨汁 📢 深圳本地 SPA 会所|95/96 专属服务 高端臻选 📢 深圳便民 📢 重庆品茶 📢 95/96 服务 SPA 会所|深圳全城门店 📢 中山初岚院 📢 上海外围 上海上门 上海约炮 ------------------------------ ☁️ 互推入口:@sooo
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
☎️老师艺名:阿啾 💃老师身材: 身高163 体重50KG 38D🐻 😦老师位置:赛罕区 💸老师水费:900p 1600pp 📡老师联系:@jiangnan1218 💻老师双向:@aqiusfff_bot 📱老师频道:https://t.me/aqiu01222 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀
#频道互推 #相似推荐 ------------------------------ 📢 深圳98楼凤修车探花选妃 📢 柚子社(1v1/定制/举牌/原味)一对一 📢 西安逍遥宫 📢 广州 深圳 东莞 佛山 选妃总汇 📢 同城约炮.学生少妇 📢 汕头女园 📢 深圳青楼 📢 香港楼凤 📢 深圳商K深圳商务 校长团队 📢 海口小妹 ------------------------------ ☁️ 互推入口:@sooo
👍1
☎️老师艺名:萌萌 💃老师身材:身高163 体重49KG B🐻 😦老师位置:回民区 💸老师水费:800p 1500pp 📡老师联系:@hjcvfjhgc47 💻老师双向:@mmmmengbot 📱老师频道:https://t.me/fgfgdsfh 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀
🎉1
在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。
☎️老师艺名:梨子 &舞蹈老师 💃老师身材:身高171 体重49KG 34C 😦老师位置:玉泉区 💸老师水费:800p 1500pp 📡老师联系:@dbshs5556 💻老师双向:@jdywe836bot 📱老师频道:https://t.me/fdsfd44e 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀
👀1
☎️老师艺名:柳依依 💃老师身材:身高170 体重52KG D🐻 😦老师位置:新城区 💸老师水费:1000p 1800pp 📡老师联系:@fdgfd152 💻老师双向:@nfjdnfj455bot 📱老师频道:https://t.me/efghfgnbn 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀
👀1
🚀帮助您找到感兴趣的群组、频道和机器人 📊频道分析 📢官方频道
🔥1
☎️老师艺名:安安 💃老师身材:身高165 体重47KG 34C🐻 😦老师位置:赛罕区 💸老师水费:800p 1500pp 📡老师联系:@an12anbe 💻老师双向:@anna2234bot 📱老师频道:https://t.me/ananyymeng 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀
🔥1
☎️老师艺名:兜兜 可上门 💃老师身材: 身高165 体重48KG 36C🐻 😦老师位置:土默特左旗 💸老师水费:700p 1200pp 📡老师联系:@gdgd1556 💻老师双向:@djfndj5bot 📱老师频道:https://t.me/gkashklasn 😉😉:视频已验证 押金已交 😀😀😀😀😀😀😀😀😀
👀1
Showing the 12 most recent of 55 posts we hold for @ST718B. 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.
Mentions
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“呼和浩特女营” (@ST718B), 50,171 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/ST718B.
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.