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Telegram profile photo for 南媛小家

Channel

南媛小家

@nanyuan1147

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

195subscribers

+41 since we began measuring on 18 September 2026

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

Register entry

Telegram ID-1004445789843
TypeChannel
Username@nanyuan1147
Created13 September 2026 — measured — dated from the channel’s first post
First recorded18 September 2026
Last confirmed live27 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/nanyuan1147

Growth

154195174.518 September 2026 — 154 subscribers18 September 2026 — 154 subscribers27 September 2026 — 195 subscribers18 September 202627 September 2026
3 measurements spanning 9 days, net +41. 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 148–201 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 15:00195+41
18 Sept 2026, 13:22154no change
18 Sept 2026, 12:47154first reading

Engagement

14 posts held, back to 13 September 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
192.5%
avg views ÷ 195 subscribers
Avg views / post
375
12 posts measured
Reaction rate
0.352%
reactions ÷ views · ER floor
Posts in window
14
of 14 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 4 of 12 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 18 September 2026
Posts held14 (13 September 2026 – 18 September 2026)
Views total4,505
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Sept 2026, 13:22 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
1m 34s
Average length
13s

Measured directly from 7 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

5 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5100.0%

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 4 of the 14 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 13 September 2026 to 18 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

14 Sept 2026, 14:51 UTC416 views3 reactionsread 18 September 2026

【中山反馈模板】 【推荐程度】:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准 【验证留名】:Dada 【验证时间】:9.13 【老师艺名】:#南媛 【老师链接】:@nanyuan147 【所在位置】:#东区 【上课学费】:700 【身高身材】:165,不胖不瘦刚刚好 【颜值相似】:9 【凶器罩杯】:B+ 【服务内容】:课表有的都有 【服务详情】:非常不错的一次体验。嫩妹,服务态度还好的真的不多见了。整个过程任意操盘,配合度很高,吊感也很不错。就是妹子有点不耐桩。桩机别去了,放过妹子吧!下次还来 【机车行为】:无 【优点缺点】:无纹身,年轻漂亮,嫩!嫩!态度好 ❤️温馨提示:报告仅供参考 ‼️请连同约课记录、付款记录一并提交 💌提交报告至:@zpybt_uibot

❤3

13 Sept 2026, 15:19 UTC518 viewsread 18 September 2026
Photo

是我不行还是你们都太厉害了,以后超20分钟的都用手

13 Sept 2026, 05:31 UTC219 viewsread 18 September 2026
Forwarded from @zsgkb2Photo

🤓点击加入中山修车营地💞💞 【老师艺名】:#南媛 【大概年龄】: #18岁 【身高罩杯】:#165cm/#c 【所在位置】:#东区 【上课费用】:#700p/#1300pp 【联系方式】: @nanyuan147 【双向联系】:@nanyuan114bot 【老师频道】: t.me/nanyuan1147 【服务标签】∶#嫩妹 #鸳鸯浴 #水中萧 #🐍吻 #六九 #情趣丝袜 #角色扮演 #激情啪 ✉️提交报告|报告模板|联系管理 📥 报告展示详情 👇

Showing the 12 most recent of 14 posts we hold for @nanyuan1147. 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 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“南媛小家” (@nanyuan1147), 195 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/nanyuan1147.

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.