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Channel

南汐小家

@NanxiMma

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

1,573subscribers

+9 since we began measuring on 17 August 2026

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

Register entry

Telegram ID-1004342610756
TypeChannel
Username@NanxiMma
CreatedBetween 1 June 2026 and 13 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 August 2026
Last confirmed live17 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/NanxiMma

Growth

1,5641,5731,568.517 Aug 2026, 16:30 — 1,564 subscribers17 Aug 2026, 23:51 — 1,573 subscribers17 Aug 2026, 16:3017 Aug 2026, 23:51
2 measurements taken within a single day, net +9. 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 1,563–1,574 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 23:511,573+9
17 Aug 2026, 16:301,564first reading

Engagement

15 posts held, back to 13 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.1%
avg views ÷ 1,573 subscribers
Avg views / post
269
15 posts measured
Reaction rate
0.35%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 15 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 17 August 2026
Posts held15 (13 August 202617 August 2026)
Views total4,030
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 16:30 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
5s

Measured directly from 3 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

3 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 2 of the 15 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 13 August 2026 to 17 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

17 Aug 2026, 04:49 UTC258 viewsread 17 August 2026

南汐 @NanXiMM 位置:普陀桃浦 评价:服务型御姐,皮肤很好,非常光滑。主动大蟒蛇,舌吻要就给,深喉很给力,配合度没话说,还有开档丝袜。 水很多,越做越多,我的时间偏长,后面感觉有点洪水泛滥了。有点超时,妹子也没有任何机车,很舒服,最后主动给妹子包了小红包,10张价位非常值。 推荐度:4星 标签: @NanXiMM #南汐 1000p #普陀 点击跳转原始报告【需先加群】 反馈狼友: CC 时间:2026-08-17 12:41:23 报告ID:17193 当前进度:1/29

17 Aug 2026, 04:49 UTC230 viewsread 17 August 2026

上海艺术展览会报告模板: https://t.me/+nFnE0wANtSRkMjEx 【体验评分】:10 【人照几成】:8.5 【验证留名】:Haha 【验证时间】:26.8 【妹子艺名】:南汐 【联系方式】:@NanXiMM 【所在位置】:普陀 桃浦 【上课水费】:1000p 【身材描述】:身材苗条,筷子腿,胯宽正常 【凶器罩杯】:C 【服务类型】:k,sw管饱 【服务态度】:很好 【优点缺点】:颜值不错,身材苗条看身材喜好,软件好,做时女友感强,sw主动、管饱,大蟒蛇,不抽烟,位置安全,远。大腿内侧小纹身。 【整体补充】: 人照8到9分,真人颜值不错,去的时候老师说额头两侧刚打完针,有点肿,脸变大了,过几天会消肿,我看脸不大,像瓜子脸,挺好看的,年龄目测27 28左右,脸颊在斜看打灯下能看到一点打针医美感觉,正看和做时看不出来。身高目测裸高167 168,胸C,前软,后也软但不如前软,可能是好的底座,身材苗条,筷子腿,胯宽

17 Aug 2026, 04:45 UTC172 viewsread 17 August 2026
Video

🌈标题:普陀 南汐 @NanXiMM 限p半价福利抽奖 👑抽奖编号:Z81905454 🎤说明: 中奖有机器人发送中奖信息,没收到信息说明没中奖;中奖联系老师领奖,福利有效期为7天,有特殊情况联系老师同意延期;可免费转赠,禁止买卖,过期作废!中奖者必须写评论,否则取消抽奖资格。 老师号不要抽奖,中奖作废! 冒领者抽奖机器人永久拉黑。中奖后需出击后提交出击报告,@jizhizuojia_gc_bot 疑问等联系管理机器人 @jizhizuojia_manager_bot 🎁奖品: ➖普陀 南汐 @NanXiMM 限p半价(折后500p) x 1 📌参与条件: ➖需要加入:🎟南汐小家 ➖需要加入:🎟魔都极致座驾体验群 ➖需要加入:🎟座驾福利群(老师勿进) ➖需要加入:🎟魔都极致座驾新赛道 ➖需要加入:🎟魔都极致座驾体验课程发布区 💻开奖方式:⏰开奖时间:2026-08-19 13:00:00

16 Aug 2026, 14:11 UTC221 viewsread 17 August 2026

上海艺术展览会报告模板: https://t.me/+nFnE0wANtSRkMjEx 【体验评分】:9.5 【人照几成】:8.5 【验证留名】:平安喜乐 【验证时间】:8.16 【妹子艺名】:南汐 【联系方式】:@NanXiMM 【上课水费】:1000P 【位置环境】:小区人少,好停车,干净整洁 【罩杯手感】:C,软,滑 【身材描述】:高挑 【服务类型】:大蟒蛇,口,服务会不多 【服务态度】:10 【屌感紧度】:紧,水多 【个人总结】:周末无事在家无聊,看到老师评价不错约上,小区人不多,好停车,指挥上楼,开门就看到黑丝高跟长腿,颜值不错,胸有C,穿鞋高跟目测升高有175左右,房间很干净整洁,有只活泼的小狗,换好鞋在客厅简单聊了一会,没陪洗,一次性浴巾漱口水齐全,到卧室后老师像变了一个人,主动热情骚,主动蛇吻,衣服一脱,只穿着开档丝袜,胸手感很棒,挺,软,圆,服务三点口,口活无齿感,女上强人,屌感很棒,换了好几个姿势,老师没不耐

15 Aug 2026, 15:08 UTC269 viewsread 17 August 2026

上海艺术展览会报告模板: https://t.me/+nFnE0wANtSRkMjEx 【体验评分】:9 【人照几成】:8.5 【验证留名】:QAQ Dar 【验证时间】:8.15 【妹子艺名】:南汐 【联系方式】:@NanXiMM 【所在位置】:桃浦小区房 【上课水费】:工兵pp 【身材描述】:胸型挺拔,身材匀称,皮肤光滑。 【凶器罩杯】:大小不一,大的有D,是真胸。 【服务类型】:口活很棒,女上能坚持2分钟左右。 【服务态度】:9.5 【优点缺点】:御姐类型,服务态度好,不催不事,课室干净,不抽烟。大腿内侧和左肩有纹身。 【整体补充】:今天是头课,到了小区后引导上楼。见到本人,丝袜包臀裙,脸还看的过去,便交了水费。浴室自己洗完澡,擦干上床,抱了一会儿,有舌吻。妹妹开始服务,三点口开始,口牛牛时候吞吐速度快,爽感十足。硬度够了后戴套女上起手,妹妹体力用完了,换狼友抽插,接着换后入,传教士,第一发持续了10分钟,在妹妹一声声浪叫

15 Aug 2026, 15:08 UTC267 viewsread 17 August 2026

上海艺术展览会报告模版: https://t.me/+nFnE0wANtSRkMjEx 【体验评价】:9.5 【人照几成】:8.5 【验证留名】:Zach B 【验证时间】:8.15 【妹子艺名】:#南汐 【联系方式】:@NanXiMM 【所在位置】:#普陀 【上课水费】:p 【身材描述】:170附近 【凶器罩杯】:起码C 【老师类型】: 御姐 【服务类型】: 做爱亲嘴聊天 【服务态度】:10 【优点缺点】:胸不错,颜值不错,唯独远了点 【过程补充描述】:在桃浦开课,平时习惯坐地铁,浦东过去显示1个半小时,但实际1个小时就到了,老师是自聊,课没排很满,所以早到也可以上楼,进门会给拖鞋送水啥的,细节都不错,而且房间打扫的特别干净整洁,好感度不错,养了只小狗。然后老师颜值不错的,有空姐的气质,关键脱衣后还是蛮有料的,穿着衣服的时候不太显,没想到胸还蛮大的,胸型手感都不错,目测起码C,然后净身高好像是168,穿个高跟估计视觉上有17

Showing the 12 most recent of 15 posts we hold for @NanxiMma. 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.

Citation-graph rank

Citation-graph rank — 1,144,205 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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

“南汐小家” (@NanxiMma), 1,573 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/NanxiMma.

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.