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Channel

南山07莹莹

@ying5203

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

766subscribers

-6 since we began measuring on 4 September 2026

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

Register entry

Telegram ID-1003174045477
TypeChannel
Username@ying5203
Created20 October 2025measured — dated from the channel’s first post
First recorded4 September 2026
Last confirmed live7 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/ying5203

Growth

7667727694 September 2026 — 772 subscribers4 September 2026 — 772 subscribers7 September 2026 — 766 subscribers4 September 20267 September 2026
3 measurements spanning 2 days, net -6. 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 765–773 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 04:37766-6
4 Sept 2026, 21:22772no change
4 Sept 2026, 20:47772first reading

Engagement

14 posts held, back to 20 October 2025the 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
15.0%
avg views ÷ 766 subscribers
Avg views / post
115
5 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
7
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 1 of 5 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 4 September 2026
Posts held14 (20 October 20254 September 2026)
Views total576
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Sept 2026, 21:22 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
4s
Average length
4s

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

7 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7100.0%

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 6 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 7 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 20 October 2025 to 4 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

4 Sept 2026, 11:45 UTC84 viewsread 4 September 2026

#莹莹 已在老友会验证上榜👉 t.me/szxglyhOneBot?startapp=td_7800697684 加群机器人: @szxglyhglBot 加群/频道: t.me/szxglyhOneBot?startapp=glist 没有群主只有玩家,纯交流纯分享群 ,分享优质老师,发掘优秀新人。

4 Sept 2026, 08:32 UTC114 views0 reactionsread 4 September 2026

#莹莹 三和修车工兵验证靠谱老师✅ https://telegram.me/+Q29eWB-oDiQ1ZmY1

4 Sept 2026, 06:59 UTCviews —

南山07莹莹 pinned «可纯可御,皮肤白,萝莉,声音甜,三点粉嫩(自带课室,不上门 不✌️) 💘名字:莹莹 💅年龄:07年 👠身高:160 🤔體重:46kg 👙熊圍: 36C 性感可爱大长腿,声音甜美😊 ❤️服雾:全身按摩 水中萧 🉑69 🉑接吻 🉑 蛇 吻 🉑深🐒 🉑陪🚿 🉑无套👄 激情啪啪 舔蛋蛋 丝袜 制服诱惑 高跟鞋 👙 熱情 ❤️‍🔥性格溫柔 長相甜美 s身材 观音坐莲 老汉推车 海底捞月 各种姿势配合,让你找回初恋般的感觉 茶水费💰 700一刺 (40分钟)…»

4 Sept 2026, 06:59 UTC130 viewsread 4 September 2026

可纯可御,皮肤白,萝莉,声音甜,三点粉嫩(自带课室,不上门 不✌️) 💘名字:莹莹 💅年龄:07年 👠身高:160 🤔體重:46kg 👙熊圍: 36C 性感可爱大长腿,声音甜美😊 ❤️服雾:全身按摩 水中萧 🉑69 🉑接吻 🉑 蛇 吻 🉑深🐒 🉑陪🚿 🉑无套👄 激情啪啪 舔蛋蛋 丝袜 制服诱惑 高跟鞋 👙 熱情 ❤️‍🔥性格溫柔 長相甜美 s身材 观音坐莲 老汉推车 海底捞月 各种姿势配合,让你找回初恋般的感觉 茶水费💰 700一刺 (40分钟) 1300两刺(80分钟) 包时2小时2200(不限次) 喝酒 变态 吃药 无套 桩机 素质低勿扰 上班1点到1点 私聊:@ying52512

8 Apr 2026, 05:21 UTC≈1,840 views1 reactionsread 4 September 2026

欢迎来到枫林晚🎉🎉🎉🎉🎉 ———————————————--———— 🔥枫林中转: https://t.me/szfenglinwan ———————————————--———— 🍁点这里一键加入枫林晚 🍁 👉枫林老师私密交流群👈 ———————————————--———— 🍁轮播群 : https://t.me/szflw 🍁枫林榜单 : https://t.me/szflwbd 👨🏻‍🎓学生群:https://t.me/szdld 👨🏻‍🎓学生榜单:https://t.me/szflbb 🍁枫林报告:https://t.me/szflbg 🧧优惠福利:https://t.me/youhuila ———————————————--———— ✍🏻报告模版: https://t.me/szflbg/44 ———————————————--———— 老师上榜后请将此链接转发到自己频道 👆👆👆👆👆👆👆👆👆👆👆

1

8 Apr 2026, 05:15 UTC≈1,810 views1 reactionsread 4 September 2026

【深圳三和修车报告】 【学生留名】:和同学 【出击时间】:4月7 【老师名字】:#南山莹莹 【深圳地区】:#深圳 #西丽 【出击消费】:700 【颜值身材】:9 【服务内容】:今天工作完,不想无功而返,直接驾车而去,遥控上楼,课室不错,干净整洁,一开门看到老师,颜值和频道上的照片一致,无差别,落落大方,很是热情,一进门就抱着我,不愧是南方女孩,刚刚进来在沙发上闲聊了一下,接着就交了水费去洗澡,擦干身体之后就一起去床上开始服务阶段,课表内容69舌吻几乎全给我服务了,最赞美的还是老师服务真的绝的,口的我非常爽和舒服,突然我老二硬的受不了,我便叫她帮我戴上套套,开始今天的爱爱阶段,没有想到女上位直接把老师搞高潮了,老师一坐下去扭动她细长的腰,配合着她的下体,真的惟妙惟肖,坐的我爽的不行,便叫换着背对着我那个姿势,抱起老师的腰部,拼命的抽插,妹子爽的不断呻吟,还是时不时说骚话,最后换传教士姿势,抱着她大长腿,边抽插她,边看着她不断呻吟

1

2 Apr 2026, 10:43 UTC≈2,060 views1 reactionsread 4 September 2026

【深圳三和修车报告】 【学生留名】:白帝 【出击时间】:4.2 【老师名字】: #莹莹 【深圳地区】: #深圳 #南山 【出击消费】:700p 【颜值身材】: 大长腿,奶子圆润 【服务内容】:身材很高挑,很对胃口,约好时间前往,一进门就知道来对地方了,妹子比照片好看多了,身材也好,白白嫩嫩的,洗好躺下,妹子调情手法比较生疏但是很认真,小舌头特别灵活,口的时候一圈一圈的绕着鱼头,特别刺激,戴套进入,非常紧,看着妹子眉头紧锁的样子更来劲了,抱起来冲,交货走人,强烈推荐,真实极品嫩妹 【优点缺点】:身材很好,奶子大水多逼紧。 【老师电报】: @ying52512 【满分打分】:10分

1

Showing the 12 most recent of 14 posts we hold for @ying5203. 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 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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“南山07莹莹” (@ying5203), 766 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/ying5203.

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.