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Telegram profile photo for 紫萱朋友圈

Channel

紫萱朋友圈

@zixuanqqqq

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

13subscribers

+0 since we began measuring on 10 October 2026

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

Register entry

Telegram ID-1004304596009
TypeChannel
Username@zixuanqqqq
Description电报号: @szixuanh 双向号: @ZiXuanll_BOT 朋友圈: https://t.me/zixuanqqqq
Created10 October 2026 — measured — dated from the channel’s first post
First recorded10 October 2026
Last confirmed live10 October 2026
Measurements held2
On Telegramt.me/zixuanqqqq

Growth

1310 Oct 2026, 10:47 — 13 subscribers10 Oct 2026, 11:22 — 13 subscribers10 Oct 2026, 10:4710 Oct 2026, 11:22
2 measurements taken within a single day. 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 12–14 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Oct 2026, 11:2213no change
10 Oct 2026, 10:4713first reading

Engagement

11 posts held, back to 10 October 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
737.6%
avg views ÷ 13 subscribers
Avg views / post
95.9
9 posts measured
Reaction rate
1.75%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 1 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 10 October 2026
Posts held11 (10 October 2026 – 10 October 2026)
Views total863
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Oct 2026, 11:22 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

Photos
6
Videos
6
Links
7

Lifetime counters from Telegram’s own channel header, read 10 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
20s
Average length
10s

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 1 post, 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 1 of the 11 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 11 most recent posts we hold, published 10 October 2026 to 10 October 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

10 Oct 2026, 10:57 UTC14 viewsread 10 October 2026
Photo

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10 Oct 2026, 09:42 UTC85 viewsread 10 October 2026
Photo

🎰 上海市民网 浦东 紫萱 优惠活动 @szixuanh 📮 参与条件: 🌏️ 归属地 江苏,上海,浙江 🪪 必须设置用户名 🎫 加入-紫萱朋友圈 🎫 加入-上海市民网 └ 🔑 发送口令﹝欢迎紫萱入驻上海市民网﹞ 🎫 加入-上海市民轮播群 🎫 加入-TG中文导航搜索 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ P PP五折卷 × 1 ⚠️ 抽奖说明: 1、无上课意向的兄弟,请勿抽奖。 2、中奖24小时内联系管理兑换,逾期作废。(按鸽子处理) 3、3天内需按时上课、提交作业。如有特殊情况,提前报备。 4、凡无故缺席、未提交作业,未报备、将取消后续资格。 5、中奖联系:@Zi_603 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年10月12日 12时32分00秒

10 Oct 2026, 09:12 UTC92 viewsread 10 October 2026
Photo

开课了,初次下海忘沪上哥哥多多关照,态度绝对OK,以后做靠谱开课老师。

10 Oct 2026, 08:32 UTC114 viewsread 10 October 2026

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10 Oct 2026, 08:18 UTC105 viewsread 10 October 2026
Forwarded from @PaoFuBangDanNewPhoto

📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 模特艺名:紫萱 模特地区:浦东新区 模特资料:18 165 43 C 拍摄费用:10p 17pp 模特电报:@szixuanh 模特频道:https://t.me/zixuanqqqq 通过此链接评价: https://t.me/shxcxw_bot?start=commentTeacher-TE179162014344 查看详细资料: https://t.me/shxcxw_bot?start=teacherContact-TE179162014344 🔰 Powerd by 泡芙: 聊天群 上课群 作业榜 会员群(提交作业获取链接) 邀请好友进群:聊天群内发送「邀请」生成专属邀请链接,邀请成功奖励 30积分,邀请人数超过5人后工兵兑换所需积分减半(附…

10 Oct 2026, 07:52 UTC111 viewsread 10 October 2026

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10 Oct 2026, 07:35 UTC112 viewsread 10 October 2026

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10 Oct 2026, 07:11 UTC116 viewsread 10 October 2026
Photo

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Showing the 11 most recent of 11 posts we hold for @zixuanqqqq. 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.

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 10 October 2026 — this entry's latest reading, not the date you are reading this.

“紫萱朋友圈” (@zixuanqqqq), 13 subscribers as measured 10 October 2026. Telegram Register, tgregister.com/channel/zixuanqqqq.

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.