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Channel

妍的朋友圈

@KeAiYan08

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

85subscribers

+10 since we began measuring on 18 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003946302706
TypeChannel
Username@KeAiYan08
Created11 August 2026measured — dated from the channel’s first post
First recorded18 August 2026
Last confirmed live11 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/KeAiYan08

Growth

75958518 August 2026 — 75 subscribers19 August 2026 — 87 subscribers26 August 2026 — 95 subscribers2 September 2026 — 90 subscribers11 September 2026 — 85 subscribers18 August 202611 September 2026
5 measurements spanning 24 days, net +10. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 72–98 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 03:4185-5
2 Sept 2026, 05:3390-5
26 Aug 2026, 22:3395+8
19 Aug 2026, 05:1787+12
18 Aug 2026, 05:3175first reading

Engagement

6 posts held, back to 11 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
300.0%
avg views ÷ 85 subscribers
Avg views / post
255
1 post measured
Reaction rate
1.96%
reactions ÷ views · ER floor
Posts in window
1
of 6 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held6 (11 August 202617 August 2026)
Views total255
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 05:31 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.

Reaction mix

37 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 83.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💩3183.8%
513.5%
👍12.70%

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 4 of the 6 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 37 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 11 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

17 Aug 2026, 04:24 UTC421 views8 reactionsread 18 August 2026
Forwarded from @zzclbgPhoto

【时间】:2026-08-16 【老师】:可爱妍 【留名】:李乐优 【人照】:9 【颜值】:9 【身材】:8 【服务】:8 【态度】:9 【环境】:9 【综合】:8.67 【过程】:刚回郑州就想出击 刚好看见今天有一个新老师就果断出击 和老师说好时间立马就出发了 老师也是今天刚到郑州 离的不远 15分钟就到了 遥控上门 很好找地方 见面和照片不能说一模一样吧 百分之90一样 毕竟现在年轻女孩都有美颜 刚见面就拉个脸 问是怎么了 说在我前面有一个工兵没排好时间等了10分钟就故意写一写有的没的 安慰了几句心想 这下完蛋了 该不会和工兵写的一样的服务吧 奔着来都来了就做吧 交了水费就去洗澡 出来以后老师去洗 不是很黑 正常肤色 奶子也很挺 很喜欢 我都没有说老师就开始拿湿巾给我擦下面 然后给我口 刚开始做还是不咋会 口了一会我感觉可以了就戴套做了 刚插进去老师就蒽~的一声 心

💩8

17 Aug 2026, 04:24 UTC401 views4 reactionsread 18 August 2026
Forwarded from @zzclbgPhoto

【时间】:2026-08-17 【老师】:可爱妍 【留名】:匿名 【人照】:7.5 【颜值】:8.5 【身材】:8 【服务】:7.5 【态度】:8 【环境】:8 【综合】:7.92 【过程】:新上的妹子照片好看。拿下工兵就联系。到了时间,提前过去。被告知需要等一会。我说晚上没啥事,等一会就等一会,无所谓。20多分钟后,通知可以上去。小区里的房子安全性还可以。妹子是嫩妹,比照片瘦。照片属于肥嘟嘟的婴儿肥。真人比较瘦,可能照片拍的有点早,不是很一致。但肯定是年轻嫩妹。再三询问,说是成年了。洗浴之后上床,让再稍等一下。一次性浴巾用完了。套套也没了。得,再等一会,不过还好,妹子说等待的不算时间。正好床上跟妹子聊聊天,摸两把,增加一下感情。妹子脱完之后,身上皮肤比较差。上身黑,下身倒是正常肤色。脸部因为化着妆,倒是挺白的,看着也不错。建议以后用美白身体乳把整个身体擦一下,这样就好看多了。等了一会,东西送来了,正式开始。妹子估计是新做,真是

💩3👍1

Showing the 6 most recent of 6 posts we hold for @KeAiYan08. 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.

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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“妍的朋友圈” (@KeAiYan08), 85 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/KeAiYan08.

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.