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Channel

男性乳头玩弄(乳首責め)色图与资源频道

@nippleplaysetu

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

5,161subscribers

+192 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002781800622
TypeChannel
Username@nippleplaysetu
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/nippleplaysetu

Growth

4,9695,1615,0656 August 2026 — 4,969 subscribers6 August 2026 — 4,969 subscribers7 August 2026 — 4,998 subscribers10 August 2026 — 5,047 subscribers13 August 2026 — 5,102 subscribers16 August 2026 — 5,161 subscribers6 August 202616 August 2026
6 measurements spanning 10 days, net +192. 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 4,940–5,190 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 05:145,161+59
13 Aug 2026, 02:075,102+55
10 Aug 2026, 00:035,047+49
7 Aug 2026, 01:224,998+29
6 Aug 2026, 03:484,969no change
6 Aug 2026, 03:334,969first reading

Engagement

10 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.8%
avg views ÷ 5,161 subscribers
Avg views / post
1,690
10 posts measured
Reaction rate
0.139%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 9 of 10 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 11 August 2026
Posts held10 (30 July 202611 August 2026)
Views total16,903
Reactions total21
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:53 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

Video runtime
8m 39s
Average length
1m 14s

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

18 reactions across 8 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18100.0%

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 9 of the 10 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 21reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 30 July 2026 to 11 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

11 Aug 2026, 16:24 UTC453 views2 reactionsread 12 August 2026
Video

作品标题: レイヴァーダンスafter ジャンヌ編【モンテコア式ジャンヌs】 发布时间:2021/12/29 源帖子:https://fantia.jp/posts/1053837 作者信息 #Yain 购买人:@jiozhaoyue 转载请标注 @nippleplaytaolun 黑贞舔乳头的配音版,的后8个 相册 [乳首責め]Yain 的场景41-48 #视频 #自购 #Fantia

2

9 Aug 2026, 16:29 UTC≈1,350 views3 reactionsread 12 August 2026
Video

作者 #Robin00 作者信息 Fantia: https://fantia.jp/fanclubs/387657 (停更) Pixiv: https://www.pixiv.net/users/9079172 Patreon: http://patreon.com/Robin11AI (已删除) unifans: https://app.unifans.io/c/robin11ai gank: https://ganknow.com/robin11 Twitter: https://x.com/Robin0022662415 作品标题: nplb 发布时间:2023/02/06 源帖子:https://fantia.jp/posts/1458396 https://x.com/Robin0022662415/status/1622597978199576576/video/1 纯免费,就这一个,其他账号全是ai图ai视频,还

3

8 Aug 2026, 15:39 UTC≈1,520 views2 reactionsread 12 August 2026
Video

作品标题: レイヴァーダンスafter ジャンヌ編【モンテコア式ジャンヌs】 发布时间:2021/12/29 源帖子:https://fantia.jp/posts/1053837 作者信息 #Yain 购买人:@jiozhaoyue 转载请标注 @nippleplaytaolun 黑贞舔乳头的配音版 相册 [乳首責め]Yain 的场景33-40 #视频 #自购 #Fantia

2

7 Aug 2026, 16:09 UTC≈1,620 views2 reactionsread 12 August 2026
Video

作者 #sodeno19 作者信息 Patreon: https://www.patreon.com/c/sodeno19/ subscribestar: https://subscribestar.adult/sodeno19 Twitter: https://x.com/sodeno191 全部停更 作品标题: eula x hu tao 1 Full 发布时间:2023/11/01 源帖子:https://www.patreon.com/sodeno19/posts/eula-x-hu-tao-1-92097732 模型质感很好,只不过有时面部有点吓人......不过乳首责片段还是很不错的,可惜目前就这一篇,希望能继续出 相册 [乳首责め]sodeno19 的场景1-3 #视频 #Patreon #sodeno19

2

6 Aug 2026, 13:04 UTC≈1,320 views2 reactionsread 9 August 2026
Video

作者 #matatabi24 作者信息 Fanbox: https://matatabi24.fanbox.cc/ Pixiv: https://www.pixiv.net/users/1905866 Fantia: https://fantia.jp/fanclubs/500913 Twitter: https://x.com/matatabi_24_3d 全部停更 作品标题: ダイドー&シリアス乳首責めご奉仕まとめ 发布时间:2023/09/19-2023/10/06 源帖子: https://matatabi24.fanbox.cc/posts/6700656 https://matatabi24.fanbox.cc/posts/6707485 https://matatabi24.fanbox.cc/posts/6714920 https://matatabi24.fanbox.cc/posts/6765652 http

2

5 Aug 2026, 13:49 UTC≈1,770 views2 reactionsread 9 August 2026
File

作者 #うすぐら 作者信息 作品标题: あかりちゃん オナホ攻め 发布时间:2024/11/17 源帖子:https://fantia.jp/posts/3116422 购买人:@jiozhaoyue 转载请标注 @nippleplaytaolun vr版,体验设备quest3,感觉还不错 相册 [乳首责め]うすぐら 的场景4-6 #视频 #自购 #Fantia #うすぐら #VR

2

5 Aug 2026, 12:00 UTC≈1,780 viewsread 9 August 2026

#互推 【板鸭涩频】Re:4从一开始的鸭鸭频道 【二次元涩图】IB美术馆 【二次元涩涩】屑魔女的3D动漫收藏夹😘 【二次元涩涩】每日2.5D色色动画推荐 【涩涩漫画】Exhentai 全量中文在线观看备份推送(灰度测试) 【二次元涩涩】男性乳头玩弄(乳首責め)色图与资源频道 【二次元涩涩】原神||绝区零||鸣潮||崩坏星穹铁道 收藏 【游戏分享】小喵的ACG黄油 (重开版) Powered by @Summer_Clear_Sky_Bot

4 Aug 2026, 13:23 UTC≈1,880 views1 reactionsread 8 August 2026
Video

作品标题: レイヴァーダンスafter ジャンヌ【オルタ】編 发布时间:2021/12/25 源帖子:https://fantia.jp/posts/1053837 作者信息 #Yain 购买人:@jiozhaoyue 转载请标注 @nippleplaytaolun 还有32个 相册 [乳首責め]Yain 的场景25-32 #视频 #自购 #Fantia

1

1 Aug 2026, 16:51 UTC≈2,870 views4 reactionsread 7 August 2026
Video

作者 #うすぐら 作者信息 Fantia: https://fantia.jp/fanclubs/489750 (停更) 作品标题: あかりちゃん オナホ攻め 发布时间:2024/11/17 源帖子:https://fantia.jp/posts/3116422 购买人:@jiozhaoyue 转载请标注 @nippleplaytaolun 这个手指拨乳头感觉挺好的,可惜作者刚发力,没几天就停更了 相册 [乳首责め]うすぐら 的场景1-3 #视频 #自购 #Fantia #うすぐら

4

30 Jul 2026, 13:48 UTC≈2,340 views3 reactionsread 6 August 2026
Video

作品标题: レイヴァーダンスafter ジャンヌ【オルタ】編 发布时间:2021/12/25 源帖子:https://fantia.jp/posts/1047819 作者信息 #Yain 购买人:@jiozhaoyue 转载请标注 @nippleplaytaolun 这个是贞德舔乳头的版本,的前8个 相册 [乳首責め]Yain 的场景17-24 #视频 #自购 #Fantia

Showing the 10 most recent of 10 posts we hold for @nippleplaysetu. 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 — 545,548 of 1,481,217entries 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.

Mentions

Named by 4 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“男性乳头玩弄(乳首責め)色图与资源频道” (@nippleplaysetu), 5,161 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/nippleplaysetu.

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.