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Channel

苏苏足浴店老板娘

@yiyihuanlegu

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

260subscribers

+33 since we began measuring on 15 September 2026

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

Register entry

Telegram ID-1004423279377
TypeChannel
Username@yiyihuanlegu
CreatedBetween 1 June 2026 and 15 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 September 2026
Last confirmed live17 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/yiyihuanlegu

Growth

227260243.515 September 2026 — 227 subscribers15 September 2026 — 227 subscribers17 September 2026 — 260 subscribers15 September 202617 September 2026
3 measurements spanning 2 days, net +33. 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 222–265 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 10:57260+33
15 Sept 2026, 15:22227no change
15 Sept 2026, 14:47227first reading

Engagement

20 posts held, back to 15 August 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
122.4%
avg views ÷ 260 subscribers
Avg views / post
318
9 posts measured
Reaction rate
0.233%
reactions ÷ views · ER floor
Posts in window
9
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 2 of 9 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 15 September 2026
Posts held20 (15 August 202615 September 2026)
Views total2,863
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Sept 2026, 15:22 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
23s
Average length
12s

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

17 reactions across 9 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17100.0%

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 10 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 17 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 15 August 2026 to 15 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

15 Sept 2026, 14:04 UTC52 viewsread 15 September 2026
Photo

来的路上还半信半疑的怕我服务不好谢谢宝宝的认可😘

15 Sept 2026, 09:56 UTC134 viewsread 15 September 2026
Photo

🎉 椒江苏苏 @taizhouyiyi 优惠券活动 🎁 奖品清单 • P100优惠券 × 3 🛡️ 参与条件 • 加入 台州老司机 • 加入 台州-老司机-公开榜 • 加入 杭州硬了么 • 加入 苏苏足浴店老板娘 • 必须设置用户名 ⌛ 抽选时刻 • 2026-09-16 12:00:00 📜 抽奖说明 抽奖有效期为中奖日3日内有效,必须写报告,不写报告 不返现。 报告 找 @tzqwbot 机器人填写(填写报告还有机会拿白嫖哦) ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

15 Sept 2026, 05:36 UTC176 views1 reactionsread 15 September 2026
Photo

椒江开课了宝宝们 可上门可双飞😘

1

14 Sept 2026, 13:21 UTC253 views0 reactionsread 15 September 2026

【台州花满楼】 https://t.me/tztmn3 【验证时间】:2026-09-14 【老师名字】:苏苏 【老师账号】:@taizhouyiyi 【验证留名】:酷炫梦幻 【人照相似】:7 【颜值身材】:7 【服务评分】:8 【态度评分】:8 【课室环境】:8 【体验过程】:马上出差结束 想着最后一舞 还是选择服务系 顺滑约课马上出击 二刷老师了 轻车熟路 还是洗个残废澡 来个水中萧 帮忙擦干开始B面莞式服务 毒龙是真不错 转到A面口的硬梆梆 一摸老师下面已经水汪汪 赶紧戴套进入正题 女上起手动了好久 看到有阳台就去阳台后入 老师挺配合 动次打次之后 眼看快到时间了换到传教士出货 老师下面水真多 洗个澡感觉溜 预览消息(正式发送时没有本行)。

14 Sept 2026, 08:44 UTC288 viewsread 15 September 2026

【台州花满楼】 https://t.me/tztmn3 【验证时间】:2026-09-14 【老师名字】:苏苏 【老师账号】:@taizhouyiyi 【验证留名】:小朱朱(必进) 【人照相似】:7 【颜值身材】:7 【服务评分】:8 【态度评分】:9 【课室环境】:9 【体验过程】:周五很幸运拍到了工兵,然后约了周六头课,结果周六老师没时间,一直到今天才约上。临海生意太好了,工兵有点难约,有种工兵补位的感觉。根据老师的指引上楼,老师是个挺高的老师,洗澡的时候非常仔细,跟老师一起洗了个残废澡。然后就是b面,毒龙漫游都有,最后a面。老师的口技真的无敌,舔的人很想射,该有的服务都有。最后缓缓进入老师身体,老师女上动了几下,就我传教士开始动了。草草出水。总体评价,洗澡满意,老师态度满意,服务水平满意。 预览消息(正式发送时没有本行)。

20 Aug 2026, 15:28 UTC≈2,180 views3 reactionsread 15 September 2026

评价时间:2026-08-19 评价昵称: 忧郁小子 老师名字: @taizhouyiyi 【推荐程度】:5⭐️(1⭐️拉完了 2⭐️npc. 3⭐️人上人 4⭐️顶级 5⭐️夯) 【所在位置】:临海 【身高身材】:9 【人照相似】:8 【安全性】:不出击最安全 【修车水费】:6 【凶器罩杯】:A+ 【颜值打分】: 8 【出击过程】:和老师约好时间出击到达,可能是我去的太晚了刚好小区路灯坏了兜兜转转了10分钟才找到。到门口老师开门时惊艳到我了,身材均匀苗条,言语温柔。付了水费,老师帮忙洗澡,该说不说老师洗的是细致入微。洗完澡老师怕我冷空调特意开高了点尽显体贴。进入正题,床上一趴,手法按摩力道均匀有度十分舒适。莞式服务十分到位就不具体描述了,反正就是十分到位,服务完老师女上,各种姿势刺激的我不行,心中男人的征服欲上来了后入出水,洗澡聊天走人 【机车行为】:无 【优点缺点】:服务天花板,本人不是胸控,这点无伤大雅只能说绝对

3

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

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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“苏苏足浴店老板娘” (@yiyihuanlegu), 260 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/yiyihuanlegu.

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.