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Channel

洛龙 小草莓

@yunvf1

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

59subscribers

+2 since we began measuring on 3 November 2026

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

Register entry

Telegram ID-1002597950108
TypeChannel
Username@yunvf1
Created12 August 2025 — measured — dated from the channel’s first post
First recorded3 November 2026
Last confirmed live3 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/yunvf1

Growth

5759583 Nov 2026, 05:22 — 57 subscribers3 Nov 2026, 21:36 — 59 subscribers3 Nov 2026, 05:223 Nov 2026, 21:36
2 measurements taken within a single day, net +2. 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 57–59 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 21:3659+2
3 Nov 2026, 05:2257first reading

Engagement

16 posts held, back to 12 August 2025 — 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
1236.0%
avg views ÷ 59 subscribers
Avg views / post
729
13 posts measured
Reaction rate
0.138%
reactions ÷ views · ER floor
Posts in window
15
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 7 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 October 2026
Posts held16 (12 August 2025 – 30 October 2026)
Views total9,480
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 05:22 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
12s
Average length
6s

Measured directly from 2 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

7 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7100.0%

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 7 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 7 reactions 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 12 August 2025 to 30 October 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

Telegram’s own ‘edited’ marker: 2 of 15 posts held from the last 30 days (13.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

26 Oct 2026, 06:17 UTC707 views3 reactionsread 3 November 2026

【必填项,人照对版几成?】:8 【验证留名】:匿名 【验证时间】:10.24 【老师艺名】:#小草莓 【联系方式】:@xiaokms 【所在位置】:洛龙 【安全性】:小区还可以 【上课价费】:工兵3 【老师年龄】:30 【身高体重】:100多点 【胖瘦赘肉】:微胖 【凶器罩杯】:c 【服务内容】:陪浴 ab d龙 【老师类型】:熟女 【服务类型】:全自动 【服务态度】:很好 【优点缺点】: 缺点:本人比照片稍微圆润一点,不过差距还好 优点:老师性格挺好,属于比较温柔又健谈的类型,不会冷场。房间收拾得挺干净,细节方面也比较到位,态度一直不错,不会让人有被催着走的感觉。 【服务过程】: 早上睡醒看到中了工兵,下午草草的过去了。 过去的时候天已经有点冷了,到了小区门口联系老师,直接给发了具体位置,找起来倒是不麻烦。进门老师还挺热情,先招呼坐下,问我冷不冷,还给倒了杯热水,这点感觉挺不错。 本人看着…

❤3

26 Oct 2026, 06:15 UTC636 views1 reactionsread 3 November 2026

【洛阳牡丹仙子群出击报告】 @luoyang_369 【必填项,人照对版几成?】:7 【验证留名】: 匿名 【验证时间】:2026年10月25日 【老师艺名】: #小草莓 【联系方式】: @xiaokpbot 【所在位置】:洛龙 【安 全 性】:中 【上课价费】:工兵 【老师年龄】:30 【身高体重】:一百多 【胖瘦赘肉】:微胖 【凶器罩杯】:b 【服务内容】:AB面和毒龙 【老师类型】: 少妇 【服务类型】:全自动 【服务态度】:很好 【优点缺点】 缺点:环境一般 优点:服务不错 补充描述:无 【服务过程】:跟老师联系老师秒回,约好时间就出发了,到楼下和老师联系遥控上楼,进门老师没照片里白毕竟带美颜,但比较热情不冷场,和老师一起洗完澡后,老师先是给按了会儿摩,就开始ab面服务中规中矩吧一套下了提枪上阵,也会说些骚话,整体下来还不错至少服务态度是好的。 【温馨提醒】:报告仅供提供参考,请理性选择,切勿对…

❤1

25 Oct 2026, 07:06 UTC698 views1 reactionsread 3 November 2026

【洛阳牡丹仙子群出击报告】 @luoyang_369 【必填项,人照对版几成?】:8 【验证留名】: 匿名 【验证时间】:10.24 【老师艺名】: #小草莓 【联系方式】:@xiaokms 【所在位置】:洛龙 【安 全 性】:小区还可以 【上课价费】:工兵3 【老师年龄】:30 【身高体重】:100多点 【胖瘦赘肉】:微胖 【凶器罩杯】:c 【服务内容】:陪浴 ab d龙 【老师类型】: 熟女 【服务类型】:全自动 【服务态度】:很好 【优点缺点】: 缺点:没让从后面整应该算吧 优点:服务算是比较全面 该有的都有了 【服务过程】:本来准备吃饭去了 上来看到中了工兵 问了老师秒回有空直接出击 到了在外面有点冷手还冰着老师贴心的打开了暖气 提前放了热水在里面喊我进去 陪浴擦拭比较仔细 中间还整了会水中肖 然后就是ab面 可以说基本全身被舔了个遍 还给浅浅的按摩了一下 老师主打一个想要的都能有 然后123…

❤1

23 Oct 2026, 09:37 UTC≈1,010 views1 reactionsread 3 November 2026
Photo

约课: @xiaokms 双向联系: @xiaokpbot 在洛龙龙门附近开课

❤1

Showing the 12 most recent of 16 posts we hold for @yunvf1. 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

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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“洛龙 小草莓” (@yunvf1), 59 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/yunvf1.

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.