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Channel

深圳·嫩妹学院【认证榜】2.0

@sznm08

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

18,345subscribers

+929 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003909368794
TypeChannel
Username@sznm08
Description群管理:@SZcjbwBot(上榜,报告,解禁) 嫩妹学院聊天群: https://t.me/nmeix09 嫩妹学院报告:https://t.me/sznmxycjbg 嫩妹学院轮播:https://t.me/nmx008 嫩妹友群学生会:https://t.me/sz888w 群内禁止硬广告 血腥图片 群内禁辱骂女性 恶意造谣 黑地域 群内禁止谈论政治
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live17 August 2026
Measurements held11
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/sznm08

Growth

17,41618,34517,880.56 August 2026 — 17,416 subscribers7 August 2026 — 17,486 subscribers8 August 2026 — 17,565 subscribers9 August 2026 — 17,655 subscribers10 August 2026 — 17,755 subscribers11 August 2026 — 17,825 subscribers12 August 2026 — 17,887 subscribers13 August 2026 — 17,964 subscribers14 August 2026 — 18,100 subscribers16 August 2026 — 18,208 subscribers17 August 2026 — 18,345 subscribers6 August 202617 August 2026
11 measurements spanning 11 days, net +929. 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 17,277–18,484 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 15:0418,345+137
16 Aug 2026, 08:0318,208+108
14 Aug 2026, 21:2618,100+136
13 Aug 2026, 12:3417,964+77
12 Aug 2026, 12:4417,887+62
11 Aug 2026, 13:5717,825+70
10 Aug 2026, 12:0117,755+100
9 Aug 2026, 14:1117,655+90
8 Aug 2026, 11:0817,565+79
7 Aug 2026, 12:5717,486+70
6 Aug 2026, 20:0417,416first reading

Engagement

56 posts held, back to 6 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 28 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.34%
avg views ÷ 18,345 subscribers
Avg views / post
429
56 posts measured
Reaction rate
0.148%
reactions ÷ views · ER floor
Posts in window
56
of 56 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 11 of 56 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 August 2026
Posts held56 (6 August 202618 August 2026)
Views total24,012
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 05:53 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
581
Videos
84
Links
100

Lifetime counters from Telegram’s own channel header, read 18 August 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
4m 31s
Average length
13s

Measured directly from 21 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

8 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8100.0%

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 11 of the 56 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 6 August 2026 to 18 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

18 Aug 2026, 05:07 UTC101 viewsread 18 August 2026
Photo

📊 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 老师昵称:#锦汐 课室位置:#南山 上课费用:1300p 2200pp 约课联系:@wanting112 观赏频道:@wanting501688

18 Aug 2026, 04:19 UTC101 views0 reactionsread 18 August 2026

🚀加入极搜互推一起赚钱🚀 车队:1W+ 2组 1.75w 后入|大屁股|蜜桃臀 2.78w 丝足白袜|翘臀玉足 1.07w 北京榜单嗨皮哥 2.15w 65.婕哥卯哥茂木希子Y小姐梅芙 2.57w 🎉TG黄文小说大全🎊 1.55w 高颜值反差裸聊录屏原创一对一 1.15w 学生社 反差少女萝莉 2.93w TS人妖🏳‍⚧伪娘小屋🔞 2.23w ✿柠🍋萌πACG / 黄油 / 黄游 / 里番 ... 1.4w cos少萝研究所 2.77w 盯射👀阿黑颜🤪颜射 2.23w 菊花 后庭之家 1.61w 性癖收藏—反差之家 2.64w 高中生学生反差精神小妹 1.03w 香港卡|手机卡|注册卡|流量卡|鸭聊佳|大中华|随... 2.27w 帅哥gay腹肌SM白袜调教福利 1.02w 🌹Soul树洞🌹🌹 1.01w 精品AV 丨 日本女优 丨 剧情 🎏 1w 玩物直播|芃芃大人|第一视角|SM调教|资

17 Aug 2026, 13:15 UTC593 viewsread 18 August 2026
Photo

📊 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 老师昵称:#一曼 课室位置:#南山 #塘朗 上课费用:600p 1200pp 约课联系:@ym070511 观赏频道:https://t.me/ym70511

17 Aug 2026, 13:07 UTC565 viewsread 18 August 2026
Photo

📊 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 老师昵称:#猫猫 课室位置:#龙华 上课费用:1200p 2200pp 约课联系:@maomao160 观赏频道:https://t.me/+q-i-Uv3nsOYxZWY9

17 Aug 2026, 12:18 UTC547 viewsread 18 August 2026
Photo

📊 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 老师昵称:#奶瓶 课室位置:#宝安 #固戍 上课费用:900p 1600pp 约课联系:@naiping8899 观赏频道:https://t.me/naipingbaby999

17 Aug 2026, 10:37 UTC518 viewsread 18 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8485483288

15 Aug 2026, 17:03 UTC645 viewsread 16 August 2026
Photo

老师昵称:#小鱼 课室位置:#宝安 上课费用:600p 1200pp 约课联系:@xiaoyu200211 观赏频道:https://t.me/xiaoyu2013

15 Aug 2026, 13:55 UTC725 viewsread 16 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8485483288

15 Aug 2026, 13:55 UTC623 viewsread 16 August 2026
Photo

老师昵称:#CC 课室位置:#南山 上课费用:1000p 1800pp 约课联系:@cc33441dd 观赏频道:@cc33441d

15 Aug 2026, 09:05 UTC724 viewsread 16 August 2026
Photo

老师昵称:#火灵儿 课室位置:#福田 上课费用:1000p 1600pp 约课联系:@feng320273 观赏频道:https://t.me/epU8aYtYUBc5NmNh

14 Aug 2026, 14:05 UTC≈1,030 views0 reactionsread 16 August 2026
Photo

老师昵称:#欣欣 课室位置:#南山 #南油 上课费用:1400p 2400pp 约课联系:@xinxinxiaoxian 观赏频道:https://t.me/xinxinmmxx

14 Aug 2026, 14:04 UTC541 views1 reactionsread 15 August 2026
Photo

老师昵称:#晴晴 课室位置:#龙岗 #坂田 上课费用:600p 1000pp 约课联系: @qingqing1568 观赏频道: @qingqing9168

1

Showing the 12 most recent of 56 posts we hold for @sznm08. 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 — 106,655 of 1,549,376entries 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

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 17 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.

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.

“深圳·嫩妹学院【认证榜】2.0” (@sznm08), 18,345 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/sznm08.

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.