开课啦,有🈳,有教室🫣🫣

Channel
沙坪坝♥哆咪小窝
@duoml887
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
783subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003726457033 |
|---|---|
| Type | Channel |
| Username | @duoml887 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/duoml887 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 17:56 | 783 | no change |
| 10 Aug 2026, 17:17 | 783 | first reading |
Engagement
16 posts held, back to 8 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 248.5%
- avg views ÷ 783 subscribers
- Avg views / post
- 1,950
- 9 posts measured
- Reaction rate
- 0.041%
- reactions ÷ views · ER floor
- Posts in window
- 9
- of 16 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 6 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 16 (8 July 2026 – 3 August 2026) |
| Views total | 17,510 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 17:17 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.
What this channel posts
- Video runtime
- 10s
- Average length
- 10s
Measured directly from 1 video 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
10 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 90.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 90.0% | |
| 🥰 | 1 | 10.0% |
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 12 of the 16 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 8 July 2026 to 3 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
爆个照,开始新的一天,等你滴滴我哟😘
🥰1
今天回来了哦
夏日炎炎,有你超甜💋💋😘😘😘
特别感谢哥哥们的,好评😘😘
77637 🕰️【时间】:2026-04-13 👨🏻🎓【评价人用户名】: DanielPerry 👩🏻🏫【老师名字】 哆咪 ✈️【老师的联系方式】: @duoml778 📷【人照评分】:9分 👩🏻【颜值评分】:9分 💃🏻【身材评分】:9分 🤔【态度评分】:9分 💅🏻【服务评分】:9分 🏠【环境评分】:9分 💯【综合得分】:9分 ✍🏻【详情出击过程描述】:服务很好 👥报告出处:重庆课堂总群 @cqlwl
❤1
100700 🕰️【时间】:2026-06-07 👨🏻🎓【评价人用户名】: 孤峰 👩🏻🏫【老师名字】 哆咪 ✈️【老师的联系方式】: @duoml778 📷【人照评分】:8.5分 👩🏻【颜值评分】:9分 💃🏻【身材评分】:8分 🤔【态度评分】:9分 💅🏻【服务评分】:8.5分 🏠【环境评分】:9分 💯【综合得分】:8.67分 ✍🏻【详情出击过程描述】:周末了又在下雨,闲来无事就想出击,看到了新老师课表而且离得比较近,于是约好时间,按照指引到地方,进门看到老师跟照片8、9分相似,照片带了一些美颜但不影响老师的颜值,简单聊了会天,开始脱衣服一起洗澡,老师洗的很仔细,全程也很会照顾你的情绪,洗的差不多了老师跪下开始口,不得不说老师口活真的很霸道很舒服,而且老师跪在地上眼睛看着老师,手摸着老师的咪咪,一个字爽,两个字很爽,三个字非常爽,洗完帮你擦干去床上,先是背面指滑、过水,虽然跟老师傅比不了但是也非常不错,然后正面服务,真的很…
128508 🕰️【时间】:2026-07-09 👨🏻🎓【评价人用户名】: Y. 👩🏻🏫【老师名字】 哆咪 ✈️【老师的联系方式】: @duoml778 📷【人照评分】:8.5分 👩🏻【颜值评分】:9分 💃🏻【身材评分】:9分 🤔【态度评分】:9分 💅🏻【服务评分】:9分 🏠【环境评分】:9.5分 💯【综合得分】:9分 ✍🏻【详情出击过程描述】:临时约了老师,熙街依旧热闹,位置很好找,遥控上楼。环境似曾相识,大学旁边租房的风格都差不多,很有亲切感,川美应届生,毕竟学校还不错,加之浙江人,亲切感又加分了。老师没有太多的风尘感,也比较善聊,先交水费后共浴,床上一躺服务开始,所谓360°口也是见着了,不过也就那样,我不太看重服务,太主动的反而没有欲望,过程可能有个十分钟,换了几个姿势,老师不让吻,虽有遗憾,但确有另一种体验,都轻易得到了反而没有快感🤓完事儿后闲聊了一会,眼看时间快到了,老师说要休息了,穿裤走人,哈哈哈,都不用猜…
❤1
130167 🕰️【时间】:2026-07-12 👨🏻🎓【评价人用户名】: 俊杰林 👩🏻🏫【老师名字】 哆咪 ✈️【老师的联系方式】: @duoml778 📷【人照评分】:10分 👩🏻【颜值评分】:9分 💃🏻【身材评分】:9分 🤔【态度评分】:8分 💅🏻【服务评分】:8分 🏠【环境评分】:8分 💯【综合得分】:8.67分 ✍🏻【详情出击过程描述】:老师颜值没得说,很漂亮,很像邻家小妹妹那种活泼,开门进去后很温柔不会尴尬,值得兄弟们出击!! 👥报告出处:重庆课堂总群 @cqlwl
❤2
在的喔❤️,双向 @duomi789bot
❤1
夏日炎炎,有你超甜💋💋😘😘😘
重庆课堂总群认证老师 📊车评数: 2 条 ❣️综合分: 8.84 分 👍好评率 100% ‖ 👌中评率 0% ‖ 👎差评率 0% ‖ 📷人照 8.75分 ‖ 👩🏻🏫颜值 9.00分 ‖ ‖ 💃🏻身材 8.50分 ‖ 💋服务 8.75分 ‖ ‖ 😊态度 9.00分 ‖ 🏠环境 9.00分 ‖ 👩🏻🏫老师花名及状态:🟢 哆咪 ☎️老师用户名:: @duoml778 📖老师资料 : 👉点击我查看老师菜单👈 📍老师位置类型: 大学城–学生妹 🚗👉给此老师 写车评报告 点击我👈🚗 👥认证群组: 重庆课堂总群 @cqlwl 重庆楼凤合群 @cqlmq 重庆楼凤出击 @cqlszq 重庆洗浴总群 @ssyqw 📣认证频道: 重庆楼凤榜单 @cqccb 重庆名媛榜单 @cqwhzb 重庆楼凤报告 @cqlfbg 重庆洗浴养身 @cqxyq
❤2
Showing the 12 most recent of 16 posts we hold for @duoml887. 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 — 848,544 of 1,345,403entries 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“沙坪坝♥哆咪小窝” (@duoml887), 783 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/duoml887.
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.