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Channel

小艺的小窝🏡

@xiaoyiyi1564

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

414subscribers

+6 since we began measuring on 29 October 2026

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

Register entry

Telegram ID-1003645157950
TypeChannel
Username@xiaoyiyi1564
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 October 2026
Last confirmed live30 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 30 October 2026
On Telegramt.me/xiaoyiyi1564

Growth

40841441129 Oct 2026, 13:22 — 408 subscribers30 Oct 2026, 05:27 — 414 subscribers29 Oct 2026, 13:2230 Oct 2026, 05:27
2 measurements taken within a single day, net +6. 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 407–415 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Oct 2026, 05:27414+6
29 Oct 2026, 13:22408first reading

Engagement

17 posts held, back to 29 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.0%
avg views ÷ 414 subscribers
Avg views / post
182
5 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
5
of 17 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 29 October 2026
Posts held17 (29 July 2026 – 29 October 2026)
Views total910
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Oct 2026, 13:22 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
5s
Average length
5s

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.

Recent posts

1 Oct 2026, 12:19 UTC834 viewsread 29 October 2026
Forwarded from @zzyx33

报告来源:郑州烩面馆 【时间】:2026-10-01 【老师】:小艺 【留名】:还能成功上岸么 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:10 【环境】:10 【综合】:9.33 【过程】:年纪不大的服务系老师,人照一致态度好,声音好听也很温柔,服务细致,陪洗不用自己动手,标准服务内容,很全很用心,过水毒龙,毛扫小腿,我不一一细写了,老师的胸摸着好舒服,乳头也大,摸不够,口也不停,差点口出来,赶紧让停戴套开始。试了几个姿势,非常推荐后入,真的好紧啊,感觉比18的嫩妹都紧,不一会儿就出货了,因为真的太紧了,完事了还有事后萧。总结:一般服务系老师年龄都会偏大,这个老师虽然不是嫩妹,但是年纪也没有那么大。服务也不含糊,最关键的是紧!

1 Oct 2026, 08:16 UTC722 viewsread 29 October 2026
Forwarded from @zzyx33

报告来源:郑州烩面馆 【时间】:2026-10-01 【老师】:小艺 【留名】:薄荷 【评价】:👍 好评 【人照】:9 【颜值】:8 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:8.83 【过程】:金秋十月,天高气爽,适合出击,刚好看到小艺老师开课了,那就二刷一下吧。只能说服务系老师真是让人食髓知味啊😁 如期而至老师的课室,干干净净,就给人一种很好的印象。然后闲聊两句,交完水费后一块去洗澡。小艺身材很有料,胸不小呢。洗澡也很细致,期间也会一直聊天,不冷场的服务态度给到好评啊,然后擦干躺好,详述一下服务流程:趴着的时候什么胸推 口罐 漫游啥的特别解乏,最后毒龙也很认真,丝毫不敷衍,反吊也很刺激,感官特别好。然后a面,印象比较深刻的就是舔胸和毛推,毛推好评啊,这个挺有感觉的,兄弟们可以来试试。可以说老师的服务是比较应有尽有了。 然后步入正题,老师卖力很久了,哈哈哈,该狼友我卖力了, 先是正常传教士开始,就是老师…

2 Aug 2026, 16:29 UTC≈1,410 viewsread 29 October 2026

【时间】:2026-08-03 【老师】:小艺 【留名】:GGBond 【人照】:8.5 【颜值】:8.5 【身材】:8.5 【服务】:10 【态度】:10 【环境】:9 【综合】:9.08 【过程】:很早就和小艺老师聊天,今天补票,约定好时间驱车前往,到地方后老师遥控上楼,老师和照片8-9分像,就是稍微胖一点,交了水费老师帮忙洗澡,随即开始服务,课表上的服务都有,印象最深的是毒龙,毒的很长时间,能感觉到舌头在舔舐,正面服务印象最真的就是毛扫腿,期间还一直口着二弟,时觉和感觉双杀了,口的很认真没有齿感,能感觉舌头在挑逗,差点发射,赶紧叫老师戴上雨伞开始,从开始后入女上开始,动了一会换我接力,最后后入出货,然后还有热水事后萧直接给我口硬了,最后洗澡美美回家。 总结:老师服务顶级,毛扫腿和事后萧印象深刻。

2 Aug 2026, 07:07 UTC≈1,190 viewsread 29 October 2026

开课了宝贝们,后天休息了哈,这个月最后两天在岗了哈

31 Jul 2026, 04:48 UTC≈1,300 viewsread 29 October 2026
Forwarded from @zzyx33

报告来源:郑州烩面馆 【时间】:2026-07-30 【老师】:小艺 【留名】:匿名 【评价】:👍 好评 【人照】:9.0 【颜值】:9.0 【身材】:9.0 【服务】:9.0 【态度】:10.0 【环境】:9.0 【综合】:9.17 【过程】:教室是在小区的日租房,环境比较安静,准备的有一次性浴巾和矿泉水,还有消毒工具,口腔喷雾。妹妹温柔漂亮,说话温声细语,皮肤非常细腻,这么好看的妹妹没想到还是服务系,全自动鸳鸯浴陪洗,擦干身体,挑选情趣丝袜内衣,开始服务,胸推,独龙,课表内容老师服务的非常认真仔细,被老师口的忍受不住,带上套套传教士开始战斗,123456789结束战斗。全程无槽点非常棒的体验,一定会二刷。

Showing the 12 most recent of 17 posts we hold for @xiaoyiyi1564. 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.

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 30 October 2026 — this entry's latest reading, not the date you are reading this.

“小艺的小窝🏡” (@xiaoyiyi1564), 414 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/xiaoyiyi1564.

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.