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Channel

糯糯开课 闵行开课

@ndd14777

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

406subscribers

+0 since we began measuring on 29 September 2026

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

Register entry

Telegram ID-1004391561436
TypeChannel
Username@ndd14777
Description私聊我:@ndd1477
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 September 2026
Last confirmed live29 September 2026
Measurements held2
On Telegramt.me/ndd14777

Growth

40629 Sept 2026, 11:47 — 406 subscribers29 Sept 2026, 12:22 — 406 subscribers29 Sept 2026, 11:4729 Sept 2026, 12:22
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 405–407 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Sept 2026, 12:22406no change
29 Sept 2026, 11:47406first reading

Engagement

14 posts held, back to 20 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
120.6%
avg views ÷ 406 subscribers
Avg views / post
490
13 posts measured
Reaction rate
0%
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 2 of 13 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 29 September 2026
Posts held14 (20 September 2026 – 29 September 2026)
Views total6,367
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 12:22 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
17
Videos
8
Links
9

Lifetime counters from Telegram’s own channel header, read 29 September 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
28s
Average length
9s

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.

Recent posts

28 Sept 2026, 10:18 UTC210 viewsread 29 September 2026

舌吻舌吻反差嫩妹-【闵行糯糯】 9.28-9.30优惠p1pp2(11p19pp)

27 Sept 2026, 16:43 UTC378 viewsread 29 September 2026
Photo

由于蓝莓冻冻(黑发)被好哥哥包了 暂时上岸 现改成一人课表 草莓糯糯个人介绍: 身高168cm 体重90斤 年龄19岁 🐻B 价格 P1200(50分钟) PP2100(90分钟) 包时3200(2.5小时) 包夜5000(9小时限4次) 服务内容: 🐍吻、69、花式口活、 舔咪咪、舔蛋蛋、陪浴、水中萧、按摩、情趣制服、丝袜高跟。 太大拒载!!! 约课私聊:@ndd1477 双向私聊: @xxxrd999_bot 🉑外出 需定金 🈲无套 吃药 扣下面 桩基 喝酒 皮肤病 变态

27 Sept 2026, 09:07 UTC359 viewsread 29 September 2026
Photo

由于我们年龄太小,经不起太大的折腾,每日限课,这样能保证用最好的状态见大家🌞🌞

26 Sept 2026, 05:41 UTC370 views0 reactionsread 29 September 2026
Video

草莓老师今晚19:00开课~蓝莓老师今天休息,明天再开课呢

22 Sept 2026, 05:00 UTC552 viewsread 29 September 2026

蓝莓冻冻老师休息啦 今天只有草莓糯糯的课啦💕

21 Sept 2026, 10:22 UTC632 views0 reactionsread 29 September 2026

【艺名】:#冻冻糯糯 / 草莓糯糯 【价格】:3500pp(双) 【位置】:#闵行 【联系方式】:@ndd1477 【身材样貌】: 人照9分基本一样,一进门看到二个嫩妹,马上决定二次,妹妹服务很好,要的基本都满足,第一次做的时候,一边干草莓,一般大蟒蛇冻冻,妹妹跟踪雷达,我到哪里,小嘴马上跟上来,第二次换人干,辛苦妹妹了,干了很近没出货,弄得妹妹累死一身汗。 总结:难得的极品嫩妹双飞,没体验过得可以去,肯定还会复刷 标签: @ndd1477 #冻冻糯糯 1200p #闵行 点击跳转原始报告【需先加群】 反馈狼友: 百搭 时间:2026-09-21 18:21:06 报告ID:19272 当前进度:1/7

21 Sept 2026, 06:04 UTC574 viewsread 29 September 2026

匿名报告 @ndd1477 应该是当前性价比最好的双飞嫩妹组合 两个妹子是各有特色的嫩妹 人照八成以上 草莓 圆脸满身纹身 蓝莓排骨嫩妹 特点是两人都是紧穴 双飞配合也还不错 标签: @ndd1477 #冻冻糯糯 1200p #闵行 点击跳转原始报告【需先加群】 反馈狼友: 匿名狼友 时间:2026-09-21 00:24:08 报告ID:19250 当前进度:1/6

Showing the 12 most recent of 14 posts we hold for @ndd14777. 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.

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

“糯糯开课 闵行开课” (@ndd14777), 406 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/ndd14777.

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.