开课啦

Channel
米莱的小窝
@milaiya1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
86subscribers
+0 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004496252763 |
|---|---|
| Type | Channel |
| Username | @milaiya1 |
| Description | 喜欢的哥哥加我飞机哦 @milaiya12 |
| Created | Between 1 June 2026 and 21 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/milaiya1 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 11:45 | 86 | no change |
| 24 Aug 2026, 11:30 | 86 | first reading |
Engagement
20 posts held, back to 21 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
- 249.6%
- avg views ÷ 86 subscribers
- Avg views / post
- 215
- 15 posts measured
- Reaction rate
- 0.196%
- reactions ÷ views · ER floor
- Posts in window
- 16
- 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 2 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 August 2026 |
|---|---|
| Posts held | 20 (21 July 2026 – 24 August 2026) |
| Views total | 3,220 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Aug 2026, 11:45 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
- 18
- Videos
- 1
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 24 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 3 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 3reactions 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 21 July 2026 to 24 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
米莱的小窝 pinned a photo
开课啦
开课啦
【时间】:2025-11-14 【老师】:#琳琳 【留名】:😌 【人照】:9 【颜值】:9 【身材】:8 【服务】:10 【态度】:10 【环境】:9 【综合】:9.17 【过程】:老师肤色正常,湿润度,紧致度+分。 姿势配合,态度可以说是超好, 口活不错,口的时候会用舌头打圈,相对嫩妹来说这点难能可贵,嫩妹中这种口活还是少见的,啪啪的时候有娇喘呻吟,叫床真实不死鱼。耐受力相对较强,可惜我是123,特别说一下: 我平常都是一分钟下课的,在老师这里居然十分钟,踏马的太爽了,可能是感觉太好了吧!舔耳朵哈热气,💋脖子种🍓,背后指划,咬咪咪舔蛋蛋, 等等都好爽。 完事后有陪洗,然后床上陪伴休息,不催钟,走的时候送到门口,值得打卡和回锅。
【时间】:2025-11-24 【老师】:#琳琳 【留名】:vhjvv 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:补个车评,琳琳老师态度服务都很好,人照基本合一,环境也是一等,老师身材略丰满,是我喜欢的类型,口活跟女上非常爽,直接就给我缴械了
第一次提交评价 【时间】:2025-11-26 【老师】:#琳琳 【留名】:Tomtom 【人照】:8 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:10 【综合】:9 【过程】:抱着踩雷的态度来的,毕竟大连的价位在这,但是一来真的震撼到了首先从环境来说比一般老师要好很多电梯也不墨迹停车也方便,姐姐人态度贼好,完全是御姐服务系,真的是服务,堪比会所不远远超过会所的服务,人态度也真的很好,和前任都是无套带套一下真的很难习惯,老师也不催,真的老师一催真的很下头的感觉,真的值得体验的
【时间】:2025-12-03 【老师】:#琳琳 【留名】:张三丰(虚弱版) 【人照】:9 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:10 【综合】:9.17 【过程】:巷陌是旧巷陌,楼阁是旧楼阁。一时魂儿飘荡,竟觉帐中娘子似当年初会的那位。 闲话休提。 推门暖风拂面,陈设也俊。她迎上来一个温软怀抱,玉脂般的皮肉贴着,通身凉气霎时便化了。娘子笑盈盈携我共浴,兰汤氤氲里,见她眸光漾着水波。浴室原也宽敞,不致束手束脚。 偃卧罗帐,先赏背脊风光—檀口轻啄,舌尖游走,直教人骨缝酥麻。尤爱那玉山倾颓时,巧舌宛转探幽,确是有手段的。 翻过来,讨了件绡纱小衣与她穿上,复将前身细细品过。方渐入妙境。 一鼓作气后,倚枕吞云吐雾,说些风月闲话。待歇得半晌,娘子眼波横流,遂再整旗鼓。如是者三。 总评:容颜俏,丰腴恰似半熟桃,乳若新荔颤摇摇。正是:“熟透的果子最甜,经霜的娘子最暖。”
【时间】:2025-12-03 【老师】:#琳琳 【留名】:张三丰(虚弱版) 【人照】:9 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:10 【综合】:9.17 【过程】:巷陌是旧巷陌,楼阁是旧楼阁。一时魂儿飘荡,竟觉帐中娘子似当年初会的那位。 闲话休提。 推门暖风拂面,陈设也俊。她迎上来一个温软怀抱,玉脂般的皮肉贴着,通身凉气霎时便化了。娘子笑盈盈携我共浴,兰汤氤氲里,见她眸光漾着水波。浴室原也宽敞,不致束手束脚。 偃卧罗帐,先赏背脊风光—檀口轻啄,舌尖游走,直教人骨缝酥麻。尤爱那玉山倾颓时,巧舌宛转探幽,确是有手段的。 翻过来,讨了件绡纱小衣与她穿上,复将前身细细品过。方渐入妙境。 一鼓作气后,倚枕吞云吐雾,说些风月闲话。待歇得半晌,娘子眼波横流,遂再整旗鼓。如是者三。 总评:容颜俏,丰腴恰似半熟桃,乳若新荔颤摇摇。正是:“熟透的果子最甜,经霜的娘子最暖。”
开课啦
Photo, posted without a caption
Photo, posted without a caption
Showing the 12 most recent of 20 posts we hold for @milaiya1. 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 — 1,018,203 of 1,620,455entries 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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“米莱的小窝” (@milaiya1), 86 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/milaiya1.
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.