杭州御女阁出击报告模板: https://t.me/hangzhou_777 评分标准:9分-优秀 【老师艺名】:#苗苗 【联系方式】:@jj5500013 【老师芳邻】:25+ 【验证留名】:qws ask 【出击时间】:8月11日 【大概位置】:上城 【出击水费】:竞拍p 【高端服务】:有的打✅ ① 舌吻 ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照相似】:人照相似8.5-9,御姐少妇 【身高身材】:身高160左右,无纹身,皮肤手感 【凶器罩杯】:胸 C,乳头小,整体手感好 【湿度紧度】:比比户型颜色,很多水,周围毛量 【环境细节】:交通/出入方便,房间整洁,正在找新的房子 【个人卫生】:不抽烟,有牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务总结】:服务到位,无少做,过程无机车 【推荐程度】:9分,价格合理,值得二刷 【流程小文】:…

Channel
苗苗
@miaomiao720
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
33subscribers
+0 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004337559994 |
|---|---|
| Type | Channel |
| Username | @miaomiao720 |
| Created | Between 1 June 2026 and 8 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/miaomiao720 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 13:14 | 33 | no change |
| 16 Aug 2026, 17:15 | 33 | first reading |
Engagement
20 posts held, back to 8 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 373.3%
- avg views ÷ 33 subscribers
- Avg views / post
- 123
- 20 posts measured
- Reaction rate
- 0.49%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 1 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 20 (8 August 2026 – 16 August 2026) |
| Views total | 2,464 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 17:15 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
- 9s
- Average length
- 9s
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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 20 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 August 2026 to 16 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
累了吗 来我怀里 我把温柔都给你呀🥰
下课咯 可提前预约明天🥰💤
开课咯 最近找新课室 所以都没好好上课 今天开始正常约课啦🥰🥰🥰
杭州御女阁出击报告模板: https://t.me/hangzhou_777 评分标准: 6分-差 7分-及格 8分-良好 9分-优秀 10分-极品 【老师艺名】:上城苗苗 【联系方式】:@jj5500013 【老师芳邻】:26 【验证留名】:抠脚大汉 【出击时间】:8月8日 【大概位置】:上城区 【出击水费】:工兵P 【高端服务】:有的打✅ ① 舌吻 老师不做蛇纹的 ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【人照相似】:10分 【身高身材】:身高160左右BB 类型正常鲍鱼,少妇身材, 没有纹身。 【凶器罩杯】:胸型C 【湿度紧度】:湿度大,毛量旺盛。 【环境细节】:交通方便 环境不错 【个人卫生】:个人卫生干净整洁,事前事后都有清洗 【时间管理】:开课准时,排课宽松, 【服务总结】:服务到位,无少做,过程无机车 【推荐程度】:10分 【流程小文】:群内工兵第…
在等一个主动找我的人🥰🥰🥰
新地方正在收拾 可以提前预约哦
昨晚有人看到流星雨了吗 反正我没看到 所以去朋友圈偷了图 来跟大家一起分享一起许个愿 祝大家都钱包鼓鼓 然后多多cj🥰
今天看房子累了不开了要早点睡了 晚安💤
找房子看到小区里的果果 要偷一个带走不😊
下课咯晚安💤
【时间】:2026-08-11 【老师】:苗苗 【留名】:美式 冰 【费用】:半价工兵 【评价】:👍 好评 【人照】:9 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:8 【综合】:8.83 【过程】:久违的出击,看老师频道报告都说老师服务很好,而且服务超全面,刚好有活动果断拿下,就喜欢服务老师!便欣然往之。老师课室在东站附近著名公寓。因为刚来,后面会搬小区房,公寓人杂还是危险!遥控上楼之后便是寒暄、亲热,然后一起脱衣共浴,洗的时候是会双乳漫磨,胸也大超爽!还会水中潇,非常有情趣。洗完擦干后床边等老师,换上情趣内衣便床边开始了a面的服务舔乳、然后深喉口,整根吞口活超级好!服务一会就趴着开始 背面服务,吸皮、胸推、臀推应有尽有,老师的口技也是一流,爽的我差点缴械,之后老师便开始了毒龙,唇舌毒龙,舌头一直往里面顶,非常刺激!之后翻过来正面又接着狠狠地享受了老师口技,这时候老师再来一次毒龙,舔蛋,深喉,一套下来…
Showing the 12 most recent of 20 posts we hold for @miaomiao720. 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 — 1,411,555 of 1,548,671entries 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
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“苗苗” (@miaomiao720), 33 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/miaomiao720.
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.