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Channel

翻斗花园幼儿园

@Xiaoxi16813

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

610subscribers

+269 since we began measuring on 26 August 2026

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

Register entry

Telegram ID-1004483218982
TypeChannel
Username@Xiaoxi16813
CreatedBetween 1 June 2026 and 23 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 August 2026
Last confirmed live25 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/Xiaoxi16813

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 why it has no browse page of its own yet.

Growth

341610475.526 August 2026 — 341 subscribers27 August 2026 — 383 subscribers4 September 2026 — 456 subscribers13 September 2026 — 512 subscribers25 September 2026 — 610 subscribers26 August 202625 September 2026
5 measurements spanning 30 days, net +269. 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 301–650 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 08:21610+98
13 Sept 2026, 01:59512+56
4 Sept 2026, 05:19456+73
27 Aug 2026, 11:12383+42
26 Aug 2026, 12:45341first reading

Engagement

20 posts held, back to 23 August 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
8.85%
avg views ÷ 610 subscribers
Avg views / post
54.0
2 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
2
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 August 2026
Posts held20 (23 August 2026 – 26 August 2026)
Views total108
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Aug 2026, 12:45 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.

Reaction mix

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 2 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 2 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 23 August 2026 to 26 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

26 Aug 2026, 12:26 UTC17 viewsread 26 August 2026
Forwarded from @whbgcankao

【时间】:2026-08-26 【老师】:小曦 【留名】:飞翔 【人照】:10 【颜值】:9 【身材】:9 【服务】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:小姐姐遥控上楼,见面是自己喜欢的类型,萝莉脸大胸,非常像 沙月惠奈。洗澡后小姐姐带个肚兜非常诱惑,扯下肚兜,做服务和口,小弟弟已非常涨,提刀入库,很润,前面和后面抽插一番,缴枪。软软的身子真是我的爱 ✳️Powered by @whkdyyy

26 Aug 2026, 06:43 UTC189 viewsread 26 August 2026
Forwarded from @whbgcankao

【时间】:2026-08-26 【老师】:小曦 【留名】:匿名 【人照】:9.5 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【态度】:9.2 【环境】:9 【综合】:9.37 【过程】:下午去了小曦那,老师颜值很好,笑起来很迷人,非常有礼貌,和老师交流也很顺畅,几句话就拉进了和你的距离,一起洗白白,老师帮擦后背和脚,进入工作间,老师让我先趴着,开始了服务,说实话开始是冲着老师的奶大去的,结果没想到服务很棒,让我很有感觉,特别放松,背面完成本来还有正面,但我已经迫不及待了,直接要求开始,先让老师骑大马,我看着老师挺拔的大胸,一上一下的起伏真是迷人,老师越来越快了,我感觉老师要高潮了,我要求我来冲击她,因为前面太爽了,我冲击了没有多少久时间就发射了,能感觉到我最后发力时,老师反应挺强烈,总之是非常通透了。这么好的老师我会再复刷。 ✳️Powered by @whkdyyy

26 Aug 2026, 03:02 UTC227 views1 reactionsread 26 August 2026
Forwarded from @whbgcankao

【时间】:2026-08-25 【老师】:小曦 【留名】:凌晨有粮 【人照】:9.8 【颜值】:9.5 【身材】:9.5 【服务】:9.5 【态度】:9 【环境】:9 【综合】:9.38 【过程】:约好时间ls指挥上楼, 👀ls一身制服黑丝, 像初恋一样的感觉, 我有点紧张, ls安抚着我坐着, 付水费后, ls帮我放好热水, 有帮洗 冲洗 全身沐浴露打在她的身上, 用她的大奶子在我身上来回清洗, 蹭的我几把翘的很高, 擦干以后拉着我躺在床上, 房间很温馨, 像是自己家一样。ls躺在我身边, 用手拂过我的身体, 轻轻的抚摸, 小嘴巴舔舔的在乳头, 很舒服很享受课表服务有的都有。正戏插进来的感觉是很爽的, 温热紧致滑润, 女上后入, 侧入, 后入, 感受都很深刻美妙, 爽的身体一直在颤抖, 太上头了。ls叫的很娇媚, 一脸兴奋和色情, 下面的水哗啦啦的, 小脸潮红, 超级满足的画面了。原本怕身体进入不了状态, 没想到这么刺激, 爽…

❤1

25 Aug 2026, 09:23 UTC271 viewsread 26 August 2026
Forwarded from @whbgcankao

【时间】:2026-08-25 【老师】:小曦 【留名】:Hersh 【人照】:9 【颜值】:9 【身材】:9 【服务】:9.5 【态度】:9 【环境】:9 【综合】:9.08 【过程】:看到照片就爱了,大D🐻谁能抵抗呢?于是赶紧约好时间,立即出发,提前到达,见了老师笑脸相迎,大D让我有点晕奶了。一起开心洗澡。洗澡的时候摸了老师下体,小穴软软,想到待会好好舔就兴奋了。洗好老师开始按摩,臀腿,漫游很刺激,发丝垂在我的小腹。我让她转过来,开始69她的小穴,她骚叫声很好听,那种短促呼吸又忍住的呻吟,我舔了很久,她下面的淫水流出来,直到她完全湿透了,我们带上TT,女上开始,她继续呻吟,身子软软趴在我身上。我们换了后入,视觉冲击很大,抱住细腰,翘臀,我很快就忍不住直接发射了,甚至没来得及换第三个姿势。 最后做个总结,奶大,床上反应超级好,换谁也忍不住,必须超级好评。 ✳️Powered by @whkdyyy

24 Aug 2026, 11:37 UTC305 views1 reactionsread 26 August 2026
Forwarded from @whbgcankao

【时间】:2026-08-24 【老师】:小曦 【留名】:歪瑞 古德 【人照】:9.5 【颜值】:9 【身材】:9.5 【服务】:9.5 【态度】:9 【环境】:9 【综合】:9.25 【过程】:小区环境不错。开门见妹子白嫩清纯少女样子,亭亭玉立,稚气未脱却不怕生,聊天很自然很开心。褪下衣物,展现出青春的酮体,皮肤光滑,腿脚修长,腹部平坦,胸口一对D奶在纤瘦的身材衬托下十分突出。洗完澡开始授课,一上来就含住一边乳头,轻轻吮吸,十分舒服。意外的是妹子口活十分娴熟,毫无齿感,口很深,会用舌头绕圈,由于身架纤瘦,趴在身上六九十分舒服,鲍鱼水多紧致干净,可尽情品尝。妹子十分敏感,每次舌头滑动都有身体反应。口了良久,提枪上马,果然紧致!十分有阻尼感,尝试了多个姿势,妹子十分配合,也很放松,可尽情输出。值得一提的是妹子反应强烈,很有带入感和成就感。 ✳️Powered by @whkdyyy

❤1

Showing the 12 most recent of 20 posts we hold for @Xiaoxi16813. 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 2 registered channels — 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“翻斗花园幼儿园” (@Xiaoxi16813), 610 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Xiaoxi16813.

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.