Telegram RegisterThe public register of Telegram

Channel

朵朵的小空间👩‍🏫

@yunduo330

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

552subscribers

+19 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1003424644500
TypeChannel
Username@yunduo330
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live13 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/yunduo330

Growth

533552542.512 Aug 2026, 19:33 — 533 subscribers13 Aug 2026, 23:55 — 552 subscribers12 Aug 2026, 19:3313 Aug 2026, 23:55
2 measurements spanning 1 day, net +19. 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 530–555 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 23:55552+19
12 Aug 2026, 19:33533first reading

Engagement

20 posts held, back to 4 July 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
122.5%
avg views ÷ 552 subscribers
Avg views / post
676
15 posts measured
Reaction rate
0.209%
reactions ÷ views · ER floor
Posts in window
15
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 10 of 15 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 12 August 2026
Posts held20 (4 July 202612 August 2026)
Views total10,140
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:33 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
7s
Average length
4s

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

23 reactions across 13 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23100.0%

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 14 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 23reactions 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 4 July 2026 to 12 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

1 Aug 2026, 05:37 UTC683 viewsread 12 August 2026
Photo

我积攒了所有的幸运,只为在茫茫人海中与你相遇相知🤗

30 Jul 2026, 09:10 UTC702 views1 reactionsread 12 August 2026
Forwarded from @Gzffrr

#联邦报告 <https://t.me/gzafua> 【出击留名】:流浪者 【出击时间】:2026年7月29日 【老师艺名】:云朵 【联系方式】:@yunduo9991 【开课位置】:#禅城 【上课费用】:1小时 【颜值身材】:9身材好 【身高体重】:162 【胸杯紧度】:C➕ 【老师类型】:#小甜妹 【服务种类】:洗吹做 水中萧 毒龙 课本内容 【情绪态度】:很热情不错😌 【优点缺点】:必填 ①缺点:🈚️ ②优点:骚,服务多 【自由描述】:下班迫不及待出发,上楼,公寓房。环境OK。 交了水费,卸甲洗澡。细心,云朵的服务这块确实不用说。水中萧,冰火的~,吹了也是好久。多套战袍,选好,再上床前后AB面服务,弹👅。尽情享受,居然还有毒龙🐲,还有其它的,真的是只多不少😋 吃的我硬邦邦的,我也舔的老师淫水直流,淫叫让我插! 也是硬的不行了,让云朵老师给鸡吧戴好,一屁股坐上来,直接插满根,舒服的一呻吟,随后开始起舞。也是主动抓起我的双手

1

29 Jul 2026, 07:29 UTC661 views3 reactionsread 12 August 2026
Photo

想借你的眼睛,看看我眼里的星辰大海🌊

3

28 Jul 2026, 07:31 UTC711 views0 reactionsread 12 August 2026
Forwarded from @FSsvyjbgj

【少御报告】https://t.me/FSsvyjhj 【老师艺名】云朵 【联系方式】@yunduo9991 【所在位置】#禅城 【验证留名】D you 【验证时间】7.29 【修车费用】1小时9 【颜值身材】漂亮🤩身材可以的 【服务内容】69.毒龙 课本内容 【服务态度】很健谈 不偷🀄️ 【优点缺点】不愧是经常锻炼的,身材就是棒,服务也很到位 【推荐程度】9.8 【体验细节】下午联系了云朵老师,看老师开课了就预约了七点了的,直接过来了,老师一见面就像女朋友一样拥抱亲吻,然后带着去沐浴,用屁股用力顶着下面然后涂上沐浴露洗完了后就开始吹箫,太爽了当时就有点把持不住开始紧张,然后直接到床上开始服务,老师的奶子挺大的还挺软的,然后摸上去也没有科技,直接开始做服务,又是手指又是奶子蹭爽得不得了,然后直接把她按住,开始后入,直接进入屁股,很紧很舒服,老师叫的很骚但是因为知道还不能起飞所以做了一会忍住了,让老师在上面骑,中间还来了个毒龙,不

28 Jul 2026, 04:49 UTC595 viewsread 12 August 2026
Photo

让梦做信使 带你去我心底最柔软的角落游览🥱

26 Jul 2026, 09:56 UTC718 views1 reactionsread 12 August 2026
Forwarded from @NNnmmtlu

【嫩妹报告】https://t.me/NNnmmtfzz 【老师艺名】云朵 【联系方式】@yunduo9991 【所在位置】#禅城 【验证留名】白 【验证时间】7.25 【修车费用】600p 【颜值身材】颜值高,身体均匀 【服务内容】洗吹做 毒龙 课本内容 【服务态度】热情 很主动 【优点缺点】姿势配合度高,不催钟 【推荐程度】9.5 【体验细节】开门云朵老师 穿了一条性感吊带裙,还没开始就有点小激动了,付了课费,老师一起去洗澡,洗好来到床上不由得摸了上去,吃吃咪咪看着她很痒的样子,不知不觉都已经迫不及待想去探索了,吃着奶,好像和自己女朋友做爱爱,老师很投入 亲老师咪咪,然后顺着往下舔食小穴,小穴水多,舔食的时候我的小兄弟已经硬到不行,随后老师跟我 69,爽到爆,老师很享受配合。带上套套 小兄弟被老师的小妹妹紧紧包裹着,小兄弟拼命的在忙着,一边抽插,直到灵魂巅峰还有点不想出来,泡在里面体会着妹妹的湿润紧,6张这价格,太好了太爽了

1

24 Jul 2026, 06:55 UTC763 views2 reactionsread 12 August 2026
Forwarded from @baogaowenxue

【永乐报告】https://t.me/guangfoyongle2020 【所在位置】#禅城 【老师艺名】#云朵 【联系方式】@yunduo9991 【验证留名】7.23 【验证时间】酷酷哥 【上课价位】600p 【人照几成】9人照合一 【颜值分数】9 【身材分数】9.5 【课表服务】菜单内容 【态度缺点】热情 耐心 不催课 【优点缺点】:身材好 服务好 🈶毒🐲 【推荐程度】9.5 【体验细节】和云朵老师约好时间,见面高跟丝袜配性感包臀制服,胸漏出来一大半,真勾人,把小弟弟顶得不要不要的,简单冲洗,迫不及待,很性感,主动,课室环境温馨,先和老师闲聊一会,交完水费,然后老师说一起洗白白,老师主动热情帮忙宽衣解带 一起鸳鸯浴,水萧舒服,洗完澡回房间,闲聊了一会天,开始服务,菜单上的应有尽有,做到非常仔细,都有各种姿势,简直是爽翻天了,老师是各方挑逗 各种风骚的姿势根本没停过,遭不住老师的骚劲,一阵猛输入,实在太爽了老师小穴很多水,嘻

2

24 Jul 2026, 04:50 UTC617 viewsread 12 August 2026
Photo

衣角在风里轻缠 像不敢说出口的眷恋😶‍🌫️

23 Jul 2026, 12:56 UTC719 views1 reactionsread 12 August 2026
Forwarded from @Gzffrr

#联邦报告 <https://t.me/gzafua> 【出击留名】:芥菜 【出击时间】:2026年7月22日 【老师艺名】:#云朵 【联系方式】:@yunduo9991 【开课位置】:#禅城 【上课费用】:600p 【颜值身材】:身材火辣美美的 【身高体重】:162.45 【胸杯紧度】:c➕杯 【老师类型】:#甜妹 【服务种类】:课表内容 有毒🐲 【情绪态度】:热情主动 【优点缺点】:必填 ①缺点:🈚️ ②优点:会聊天,接得住话 服务态度好 特别是毒🐲特别舒服 【自由描述】:刚好工作有点空闲时间,约好云朵老师,直接开车过去开门瞬间就喜欢上了,打扮是我喜欢那种 ,寒暄几句就一起洗澡,洗完老师叫我躺下,慢慢的给我口起来,口技真的没得挑,还舔了蛋蛋,差点没忍住,立马制止老师,色心立起,马上就开始配合我,我吃老师的鲍鱼,老师吃着我鸡鸡,那个望着我的眼神~简直酥麻了,怎么还忍得了,马上把老师翻过来,在滑滑诱人的咪咪上一顿乱啃,老师一边

1

Showing the 12 most recent of 20 posts we hold for @yunduo330. 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.

Citation-graph rank

Citation-graph rank — 971,746 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“朵朵的小空间👩‍🏫” (@yunduo330), 552 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/yunduo330.

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.