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Channel

小鱼的朋友圈

@xiaoyu1772

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

793subscribers

+75 since we began measuring on 20 August 2026

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

Register entry

Telegram ID-1004393517618
TypeChannel
Username@xiaoyu1772
CreatedBetween 1 June 2026 and 15 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 August 2026
Last confirmed live4 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/xiaoyu1772

Growth

718793755.520 August 2026 — 718 subscribers21 August 2026 — 718 subscribers28 August 2026 — 762 subscribers4 September 2026 — 793 subscribers20 August 20264 September 2026
4 measurements spanning 14 days, net +75. 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 707–804 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 08:55793+31
28 Aug 2026, 22:08762+44
21 Aug 2026, 02:04718no change
20 Aug 2026, 22:46718first reading

Engagement

18 posts held, back to 15 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
83.5%
avg views ÷ 793 subscribers
Avg views / post
662
1 post measured
Reaction rate
0.302%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 16 August 2026
Posts held18 (15 July 202616 August 2026)
Views total662
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 22:46 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
7s

Measured directly from 1 video 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

31 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
31100.0%

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 18 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 15 July 2026 to 16 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

16 Aug 2026, 17:03 UTC662 views2 reactionsread 20 August 2026
Forwarded from @qxpcbgbPhoto

【花名】:小鱼@xiaoyu1331 【时间】:8.15 【地点】:象湖 【署名】:程默 【项目】:98 【价格】:800p 【颜值】:10 鹅蛋脸比照片好看的多 【身材】:9 【服务】:10 【环境】:7 【简评】:很早之前就跟小鱼老师联系过,周末放假心血来潮直接约起小鱼老师,准备4点开始,因为小鱼的家里有点事,罚站了一下,本来想一走了之,但是经过小鱼老师诚恳的解释与道歉决定赴约,本来因为罚站和小区比较大,出击的心情就不是很好,但是一进门看到小鱼的身材和颜值瞬间就回升大半,身材高挑、穿着一身小裙子,脸圆圆的,带点婴儿肥,大眼睛,颜值比照片还要好看,一副清纯女大模样。 然后准备交水费一起共浴,可能是刚下海 小鱼还是比较拘谨腼腆,就是我说啥或者提要求她都会应,但是缺少点亲近感,有点像在公司带实习生的那种感觉,这点需要改进一下。洗澡的时候也是一样 会帮洗帮擦,但会有种距离感,有点不自然,但是刚下海也能理解。 随后就是上二楼准备

2

7 Aug 2026, 19:15 UTCviews —

小鱼的朋友圈 pinned «名字:小鱼 身高:165 体重:95 胸围:B+ 年龄:06 课表:800 p 时间60分钟 课表16pp时间120分钟 PS:个人兼职不容易, 有课室,在象湖区 定金1张 也可兼职上门 ,南昌市内 约课1张车费,鸽子不退, 服务内容:调情 洗澡,聊天,吹 ,69 ,jk,丝袜,制服,鸳鸯戏水,陪浴,漫游,调情无T口。跪或吹笛,姿势随意,乖巧懂事。情绪价值拉到满①PS:夜提前一天预约,PS:夜3500 :预定金500»

2 Aug 2026, 20:00 UTC≈3,050 views6 reactionsread 20 August 2026
Forwarded from @ncxcxshbgPhoto

报告模版 【邀请人/推荐人】:可留可无 【妹妹花名】:#小鱼 【报告署名】:匿名 【验证时间】:2026.7.20 【验证地点】:象湖区 【服务类别】:98 【修车水费】:800p 【妹妹类型】:颜值系嫩妹/女友型/萌妹子 【颜值身材】: {年龄}:19 {颜值}:比频道好看得多,非常可爱,喜欢可爱女友类型的有福了 {皮肤}:黄白之间,无纹身 {罩杯}:b {身高}:160 {体重}:100斤不到 绝佳身材 {赘肉}:全身无赘肉 {颜值综合打分}:9 {身材综合打分}:9 【服务质量】: {服务内容}:课表有的都有 {服务水平}:在读嫩妹大学生,情绪价值拉满,让人非常有感觉 {服务态度}:态度很好,给人娇萌女友感觉,这态度就额外值500 {服务综合打分}:10分,出击很多年了,中介老师各个价位找过很多,从没写过报告。这次妹子确实让人眼前一亮,喜欢可爱系的强烈推荐,性价比绝佳。 【课室环境】:干净卫生公寓房 【过程概述】:

6

27 Jul 2026, 11:43 UTC≈2,850 views12 reactionsread 20 August 2026
Forwarded from @qxpcbgbPhoto

🐞 七星瓢虫报告 南昌高质量出击群 福利拉满 活动不断 https://t.me/ncqxpc 【花名】:#小鱼 @xiaoyu1331 【时间】:7.20 【地点】:#南昌县 【署名】:枫 【项目】:98 【价格】:3500✌🏻 【颜值】:10 【身材】:10 【服务】:10 【环境】:9.9 【简评】:我刚刚进瓢虫群的时候就开始看各位老师,然后最终小鱼吸引了我的注意力然后开始关注她了,照片真的很清纯,很有女大的感觉,前面和老师商量一下约了今晚,晚上直接出击 约好时间后,我就去课室找她,她穿着一身粉色JK、搭配白丝,很好看很吸睛,瞬间就吸引了我的注意力,青春气息加上少女感很足,还没开始就硬了。 到了之后没有急着开始,而是坐着聊了一断时间,亲亲抱抱摸摸,由于我是新手,老师就很主动的引导我,服务拉满,由于是✌🏻我也不是很急,我们一起洗了个澡,洗完后我们到床上,开始一些前戏,真人比照片更耐看,笑起来很,甜很纯真,越聊越有好

12

Showing the 12 most recent of 18 posts we hold for @xiaoyu1772. 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

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.

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

“小鱼的朋友圈” (@xiaoyu1772), 793 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/xiaoyu1772.

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.