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Telegram profile photo for 大连丝羽spa

Channel

大连丝羽spa

@siyuspa

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

2,264subscribers

+189 since we began measuring on 16 September 2026

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

Register entry

Telegram ID-1004465905619
TypeChannel
Username@siyuspa
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 September 2026
Last confirmed live18 September 2026
Measurements held2
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/siyuspa

Growth

2,0752,2642,169.516 September 2026 — 2,075 subscribers18 September 2026 — 2,264 subscribers16 September 202618 September 2026
2 measurements spanning 2 days, net +189. 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 2,047–2,292 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 21:382,264+189
16 Sept 2026, 19:222,075first reading

Engagement

20 posts held, back to 14 September 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.36%
avg views ÷ 2,264 subscribers
Avg views / post
121
14 posts measured
Reaction rate
0.585%
reactions ÷ views · ER floor
Posts in window
20
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 3 of 14 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 September 2026
Posts held20 (14 September 202616 September 2026)
Views total1,700
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Sept 2026, 19:22 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
15s
Average length
8s

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

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 3 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 14 September 2026 to 16 September 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

16 Sept 2026, 15:02 UTC64 views0 reactionsread 16 September 2026
Forwarded from @dlreport2Video

🏅精英车评🏅 【时间】:2026-09-16 【老师】:#丝羽spa 【留名】:匿名 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:昨天友情出演无能的丈夫了 忙活半天也没舒服 今天换个口味找找场子 第一次来丝羽 约的kk 人照9分 颜值在我的审美上 喜欢 技术一字爽 正好今天浑身酸痛 来个92也是通透了 好吃爱吃

16 Sept 2026, 13:11 UTC131 viewsread 16 September 2026
Forwarded from @dlcarplay_botPhoto

【时间】:2026-09-16 【老师】:#丝羽spa 【留名】:匿名 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.83 【过程】:进门眼前一亮,很白非常好看,竟有一点萧亚轩的味道。说话艮啾啾的还挺逗的。没想到的是这大美女手法还真不赖 ,以前总去松骨店,这手法多少年没遇到了。不急不催,完全配合个人的想法跟感觉。点个大大大的赞给KK,之后会继续来的。

16 Sept 2026, 10:58 UTC124 viewsread 16 September 2026
Forwarded from @dlcarplay_botPhoto

🏅精英车评🏅 【时间】:2026-09-16 【老师】:#丝羽spa 【留名】:阿虎 【人照】:8.5 【颜值】:9 【身材】:9 【服务】:9 【态度】:10 【环境】:8.5 【综合】:9 【过程】:最近刚回大连,舟车劳顿,身体抱恙了,没有太多体力cb,依旧kk老师,我玩挺爽(各花入各眼),开门之后比较熟络不是第一次见面了,坐怀里又是女友感拉满了,摸摸搜搜就去洗澡,上床背面开始精油,突然掏我机子,瞬间起竿了,粉牛展示了,看着我笑,我挺喜欢,翻身后摸腿摸熊,给我机子整挺舒服,过程中耳边烧话比较自然不尴尬,机子一抖,一滴不剩,我现在发现92整爽了也挺得劲,以后cb跟92得穿插养生,祝各位烙铁出击顺利

16 Sept 2026, 09:21 UTC107 viewsread 16 September 2026
Photo

🎰 大连丝羽spa送福利 📮 参与条件: 🌏️ 归属地 辽宁 🪪 必须设置用户名 🎫 加入-大连丝羽spa 🎫 加入-大连精品修车 └ 🎟️ 发言数大于 20 条 🎁 奖品内容: 💰️ 半价劵 × 1 💰️ 白嫖劵 × 1 💰️ 课表二优惠100 × 5 ⚠️ 抽奖说明: 提示:禁止无脑刷屏,自言自语,删除消息,发纯数字和表情,短句发送,小号互搏等内容,发现全部取消中奖资格! 🔋 人品加成:⚡️⚡️⚡️ 规则 📅 开奖日期:(北京时间) 2026年09月21日 17时18分00秒

16 Sept 2026, 08:43 UTC89 viewsread 16 September 2026
Forwarded from @dlcarplay_botPhoto

【时间】:2026-09-16 【老师】:#丝羽spa 【留名】:正是修行时 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:出击多了,没啥意思,没试过92,一时性起,今日亲身体验体验一下丝羽,听其他狼友都说kk老师不错,这次我倒要看看她怎么个事儿。 一进门,着实惊艳到我了,这个颜值雀氏不错,深得我二弟的喜欢。kk轻车熟路地为我宽衣解带,褪下衣着,一根直挺挺的如意金箍棒引入眼帘,引得kk略显惊讶,速速冲洗过后,二弟早已饥渴难耐。 打开灯后,kk她精致美丽的脸庞和曼妙的身材,让我欲罢不能。kk缓缓摸向我的蓄势待发的欧金金,施展出她那熟练的手法再加上她那诱人的体香,二弟欲罢不能,大战三百回合后,二弟终究没能抗住kk的手技,瞬间精华喷涌而出,顿时感觉人生通透了,真是太爽了。

15 Sept 2026, 17:29 UTC106 viewsread 16 September 2026
Forwarded from @dlcarplay_bot

【时间】:2026-09-16 【老师】:#丝羽spa 【留名】:EggWoods 【人照】:10 【颜值】:10 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.67 【过程】:今天约了KK老师的晚课,一进门被震惊到了,完全的冷艳明星脸,穿着紫色睡裙,给人慵懒贵妇的感觉。服务过程又是另一种反转,服务项目一个不漏,服务水平极其在线,特别宁静对视的时候,给人一种不可亵渎的感觉,随后就是三起三落,一泻千里。下次必定二刷!

15 Sept 2026, 14:20 UTC110 viewsread 16 September 2026
Forwarded from @dlcarplay_botPhoto

🏅精英车评🏅 【时间】:2026-09-15 【老师】:#丝羽spa 【留名】:五百 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:之前去过很多次spa的老师,但是嫩妹spa还是第一次体验,性价比拉满。 位置很好找,小区比较高端上档次,教室宽敞,干净整洁。 老师是客服推荐的,本来以为会开盲盒,怕心里有落差,没想到是真的嫩妹,颜值也高,客服很靠谱(之前被不靠谱的客服坑过)。 服务大大出乎我的意料,原本对嫩妹的专业度有所保留,但是服务做了几分钟以后,非常惊艳,打破了我的偏见,躺在床上,被楚楚动人的妹妹服务着,就俩字,满足。 不过多描述服务细节了,留些悬念给想去的兄弟们,出击这事,有惊喜才会更开心。而且有些东西只有亲自体验过才知道好,性价比实在太高了,跟非常夯的体验过程相比,这个优点显得不值一提。 非常推荐,放松首选,会常去。

Showing the 12 most recent of 20 posts we hold for @siyuspa. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“大连丝羽spa” (@siyuspa), 2,264 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/siyuspa.

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.