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Channel

小兮朋友圈

@xiaoxi2344

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

1,422subscribers

+235 since we began measuring on 16 October 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003799774431
TypeChannel
Username@xiaoxi2344
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 October 2026
Last confirmed live7 November 2026
Measurements held9
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/xiaoxi2344

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 1 November 2026 and assigned it the closest of 31 fixed categories, at 89% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

1,1871,4221,304.516 October 2026 — 1,187 subscribers16 October 2026 — 1,187 subscribers19 October 2026 — 1,291 subscribers22 October 2026 — 1,326 subscribers25 October 2026 — 1,336 subscribers28 October 2026 — 1,375 subscribers1 November 2026 — 1,391 subscribers4 November 2026 — 1,405 subscribers7 November 2026 — 1,422 subscribers16 October 20267 November 2026
9 measurements spanning 22 days, net +235. 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 1,152–1,457 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Nov 2026, 03:151,422+17
4 Nov 2026, 06:371,405+14
1 Nov 2026, 00:551,391+16
28 Oct 2026, 16:051,375+39
25 Oct 2026, 18:561,336+10
22 Oct 2026, 23:491,326+35
19 Oct 2026, 14:201,291+104
16 Oct 2026, 08:281,187no change
16 Oct 2026, 08:221,187first reading

Engagement

20 posts held, back to 9 October 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
61.5%
avg views ÷ 1,422 subscribers
Avg views / post
874
17 posts measured
Reaction rate
0.161%
reactions ÷ views · ER floor
Posts in window
17
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 7 of 17 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 16 October 2026
Posts held20 (9 October 2026 – 16 October 2026)
Views total14,861
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Oct 2026, 08:22 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
33s
Average length
17s

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

16 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤16100.0%

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 9 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 16 reactions 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 9 October 2026 to 16 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: 0 of 17 posts held from the last 30 days (0%) 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).

15 Oct 2026, 13:25 UTC380 viewsread 16 October 2026

明天开始倒计时最后一个星期咯🥰🥰没有约的哥哥快点来哦🥰🥰

15 Oct 2026, 09:47 UTC280 views2 reactionsread 16 October 2026
Forwarded from @shibianrenjianyanhuoPhoto

杭州-单刷 小兮 ID:@a450228933 上一个漂移临时约课竟然没踩雷反倒约上了个宝藏? 老师是深圳刚来杭州的,推门一瞬间压力有点大,包臀裙小高跟目测 174cm,再一看皮肤好白腿好直比我命都长,胸也有 B+腺样体胸很挺也很软,奶头粉粉的,淡妆,正常嫩妹三角套流程,有赔浴衣服脱了小弟弟已经起立表示尊敬,真白真粉美中不足不是白虎但是这个腿和胸我尼玛真好再配上冷白皮要我命了,日感也好比较紧,重点说一下进入后里面烫烫的差点没把持住,妹妹还会夹,做了 5 分钟没有体力了😂(众所周知昨天到今天强度有点高不能怪老师, 躺下摸着老师白白的扔子顺利出货) 总结:人照 9 老师刚从深圳过来试试水,环境有待提升,建议了老师改善环境以及全妆上班和毛发管理,老师底子够硬,喜欢冷白皮腺样体胸和玩腿的可以冲了,注重环境氛围的可以等一等了,小茓应该是沾点名器进入后烫烫的,一句话总结,白皮嫩妹御姐风不一样的感觉 评论区有身材原相机直出

❤2

11 Oct 2026, 04:57 UTC≈1,240 viewsread 16 October 2026

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:#好评 【优势】 嫩 个高 颜值抗打 腿很长 【不足】 【出击时间】:10月10日 【老师花名】:#小兮 @a450228933 【出击留名】:秋风 【开课位置】:上城 【修车水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ 没要 ② 69舔逼 ✅没要 ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:人照相似挺高 本人淡妆偏素颜很抗打 【身材评价】:身材不错 全身没有赘肉 腿长屁股软 【胸部评价】:B 【鲍鱼评价】:正常毛量偏紧 【服务评价】:三件套 【态度评价】:态度不错 【环境评价】:课室环境还可以 【过程描述】: #流程细节: 第一时间报名老师工兵,和老师约了当晚时间,准时到了后看到老师本人很好看,个子很高,直接给了水费,坐下聊了一会,然后开始洗澡,洗完擦干后躺在床上,老师主动拉着聊了一会然后…

11 Oct 2026, 04:56 UTC≈1,100 views4 reactionsread 16 October 2026
Forwarded from @bandaoBG

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】高颜值,模特身材,皮肤较白,腰臀比非常好,硬件夯爆了;服务有点小惊喜,比较享受反向服务,爱爱反馈真实,水量较多且持续 【不足】浅吻,稍微有点控时间,不过都是课表写明的,也没啥好说的 【妹子花名】:#小兮 【联系方式】:@a450228933 【妹子年龄】:20 【验证留名】:Roland 【验证时间】:10月10日 【大概位置】:笕桥 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 浅吻如课表 ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照8.5分,全妆估计会更像一点,今天是淡妆,真人是好看的,会显得青春学生气一些 -瓜子脸,眉毛弯弯,鼻子挺但鼻翼很小,樱唇有点M唇的感觉,曲线好看 -灰色一字肩包臀连衣裙,太吸睛了,备了红底高跟,但没穿,有点可惜 【身高身…

❤4

Showing the 12 most recent of 20 posts we hold for @xiaoxi2344. 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“小兮朋友圈” (@xiaoxi2344), 1,422 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xiaoxi2344.

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.