#精翻 #Kiminogeboku #wanCos 8.11 vtb 带字幕视频 🖤 低气压系(平日里慵懒消极)人气 Vtuber 女友对做爱不感兴趣?只要稍微央求最终还是会为你献上侍奉 ❤️︎ 甜蜜恩爱做爱录像【角色扮演 Cosplay AV】 ?!oho !? 你别说后入那段还真有点像了,不过还能接受。(求求了,不要学蓝月口牙) 感觉汪酱的套路也有些固定了,期待能有新意吧。话说 vtb 服装都快被这几家做烂了吧… 同质化程度太高了。
❤15

Channel
@cosjav_subs_sc
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14,071subscribers
+95 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002375206392 |
|---|---|
| Type | Channel |
| Username | @cosjav_subs_sc |
| Description | 这里会发布一些个人烤制的 CosAV 简中字幕 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/cosjav_subs_sc |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 13:48 | 14,071 | +14 |
| 16 Aug 2026, 07:55 | 14,057 | +17 |
| 14 Aug 2026, 19:25 | 14,040 | +13 |
| 13 Aug 2026, 06:33 | 14,027 | +14 |
| 12 Aug 2026, 03:52 | 14,013 | +6 |
| 11 Aug 2026, 05:45 | 14,007 | +1 |
| 10 Aug 2026, 05:50 | 14,006 | +14 |
| 9 Aug 2026, 05:12 | 13,992 | +6 |
| 8 Aug 2026, 08:04 | 13,986 | +10 |
| 7 Aug 2026, 15:46 | 13,976 | first reading |
21 posts held, back to 19 July 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 22 pagesof Telegram’s post history, 20 posts per page.
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 20 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 21 (19 July 2026 – 15 August 2026) |
| Views total | 202,800 |
| Reactions total | 434 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 07:05 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.
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.
434 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 73.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 318 | 73.3% | |
| 😭 | 48 | 11.1% | |
| 🫡 | 32 | 7.37% | |
| 👍 | 26 | 5.99% | |
| 🍾 | 4 | 0.922% | |
| 🍌 | 3 | 0.691% | |
| 🎉 | 3 | 0.691% |
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 20 of the 21 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 434reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 19 July 2026 to 15 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.
#精翻 #Kiminogeboku #wanCos 8.11 vtb 带字幕视频 🖤 低气压系(平日里慵懒消极)人气 Vtuber 女友对做爱不感兴趣?只要稍微央求最终还是会为你献上侍奉 ❤️︎ 甜蜜恩爱做爱录像【角色扮演 Cosplay AV】 ?!oho !? 你别说后入那段还真有点像了,不过还能接受。(求求了,不要学蓝月口牙) 感觉汪酱的套路也有些固定了,期待能有新意吧。话说 vtb 服装都快被这几家做烂了吧… 同质化程度太高了。
❤15
#精翻 #aliceholic13 8.11 HSR 片源指路 💚🧬【阮·梅的连续榨精研究课题】吃下了被下了药的点心的开拓者,沦为“如果不进行无套插入就绝对无法射精 ♡”的超硬勃起状态!通过解禁射精的无套插入和电动榨精奇物,直到她满意为止,一滴不剩地被强制绝顶、持续榨取精液的研究记录 ♡【附带黑塔女士的旁观视奸 & 飞机杯套弄乱入的双飞微 3P 福利 ♡】 台词剧情比较充分,阮·梅这套衣服越看越上头,声音也很好听。 (角色设计这块 依旧给到 mhy)
❤20
#精翻 #aliceholic13 7.17 BA 带字幕视频 💙 自告奋勇担任老师 “性欲处理值日” 的女仆,用完美无缺的性处理侍奉将优质精子“噗咻”地全部榨取干净 ~ 这部在剧情上会更丰满些。也是比较正常的女上位作品。 本作发布时的编号为 fantia-2412945 ,为之前抽奖第5部二合一中的第一部。(侍奉榨精篇) 由于星川 8 和荧 9 基本无台词,所以至此 a13 抽奖的十部已全部顺利完成。 —————— #里程碑 恭喜 14k 订阅达成,感谢各位支持啦 ~
❤21🎉1
#精翻 (近似) #aliceholic13 7.17 BA 带字幕视频 💙 让专属肉棒女仆的抖 M 子宫屈服受孕,8 回以上痉挛高潮,在被爱液浸得无比湿滑粘稠的无套小穴里连续射精 a13 以前原来也拍过这种纯被侵犯着的题材吗。 本作发布时的编号为 fantia-3095633 ,为之前抽奖 (4144922) 的第5部二合一中的第二部。(M属性子宫受孕篇) 原片声音太轻,目视也有些泛白,故做了后期调整。
❤10👍1
#精翻 #BunCos 新片速递 8.7 vtb 片源指路 【完全主观视角♡】人气主播仅限一天的“出租女友”约会服务 ♡ 用素股挑逗让你欲火焚身,瞒着粉丝来一场无套内射 H 💜 观感不错,前戏很搭台词,不玩玩具好评。(有点看腻了) 计划有变,就先做这部了。
❤13
#精翻 #aliceholic13 7.17 vtb 片源指路 💖 被清纯系病娇偶像 Coser 盒到了住址,嫉妒心作祟强行上门、性癖被轻松看穿 ♡ 淫语痉挛寸止 连续绝顶,被迫看着她举着手机,自拍记录下两人疯狂交合的画面 ♡ 被她的沉重爱意包围,在绝对的“射精管理”下,身心都被弄得一塌糊涂的视频【主观视角为主 4 回射精】 衣服不错。爱意确实有些过于沉重了,支配感较强。 之前 a13 抽奖的第 7 部。 本作此前的编号为 fantia-3127617,分为正片和恋物篇。本次抽奖作则是将两部合在一起,并调大了音量。(官方原来也有注意到吗…) 刚好手上有旧片源,就顺手做了适配,第一个字幕搭配本次抽奖作品,后两个字幕搭配分开的两部食用。
👍16❤7
File, posted without a caption
❤1
#精翻 (近似) #aliceholic13 8.4 NIKKE 片源指路 【巨乳 / 零距离紧贴 甜蜜亲热 / 舔耳 / 边湿吻边插入的唾液责备 / 口内射精 3 回 / 中出榨精 2 回】用舔舐硬糖一般“吧唧吸吮”的深吻进行唾液窒息折磨 💄💓 独占心爱的Darling ♡ 包茎肉棒被柔软双唇一口含住、“咕嘟滋溜”地口交刺激龟头,连续喷射 3 回💕 肉感巨乳紧贴拥抱,边接吻边无套内射的骑乘位进行宠溺榨精 💞 能听出来很甜。女主不算太强势,应该不影响观感。(a13 M男后遗症这块) 单从字幕制作角度来说,本片收音质量其实不佳,不仅有不少悄悄话,还有为了表现甜腻 各种歪曲变形的日语发音… a13 是这样,mais 也是这样,最近做的几部都不太让咱省心呐。(mais 005 白上吹雪那部也快完工了,周末应该能发) 这样一比,汪酱简直清流。
❤13
#精翻 #aliceholic13 7.17 HSR 片源指路 ❤️ 偷偷忍耐的禁欲生活被卡妈一眼看穿 ♡ 在她的射精护理 Sex 下,憋得胀鼓鼓的蛋蛋被无情榨取,直到一滴不剩、彻底被榨空为止… 之前抽奖活动的第 6 部,这部作品应该仅作为抽奖奖品公开。 感谢评论区小伙伴提醒,本作之前有公开过:fantia-2555909,有这部的可以不用重复下载了。
❤11👍7🍾2
#精翻 #Kiminogeboku #wanCos 8.2 vtb 带字幕视频 💜「那么...你的童贞...就由人家帮你毕业掉吧 ♡」一边被班上的优等生用甜到发腻的柔语调戏、一边享受童贞破处 H ♡ 乳头也好 肉棒也好、全身上下都舒服得要命,陷入连续高潮的深渊 ♡【沉浸式 Cosplay AV】 白丝不错。依旧逆向调教。 依旧流畅帧率。依旧没对上焦。
❤16
#精翻 SAVR-998 vtb 白上吹雪 2026.3.30 3d vr180 磁链指路 SAVR-998_2_8k 虹村ゆみ 前半部里被喂下(主动喝下)媚药后,后半就只剩爱爱了。末篇纯爱算是这个系列的老套路。 讲真做这种纯做爱片段的字幕挺难受的,除了不得不单手操作键鼠,往往女主为了剧情需要,淫叫也会非常“不标准”,事实上这些内容几乎没有剧情实义。给咱的感觉就是:既破坏了观感,干正事时得不停分心调整校对;花了大把时间又没有太大成效,就这些嗯嗯啊啊的字幕文本,没有其实根本不影响观看的说。(注意 咱仅针对做字幕这件事发发牢骚,对作品无任何意见,拍的非常棒,纯爱呻吟就该这样入戏才对,毕竟又不是标准日本语教学视频) 也是这部作品前半比较优秀咱才愿意做完它,以后遇到这类咱会适当考虑跳过的,还是希望能将珍贵的时间花在真正需要字幕的剧情片上去吧。 —————— 最后给今天放出的 某部 a13 …
❤29
#精翻 #Kiminogeboku #wanCos 7.29 带字幕视频 🪄 把活了 1000 年的魔法使当成性处理飞机杯一样对待 ♡ 因为不小心被喂下了无法控制性欲的药,所以只能请你好好负起责任来啦... ♡ 或许是角色性格原因,和芙莉莲有关的作品都有点性冷淡的味道。(可能想营造反差感,但并不明显) 依旧反人像蓝色背景光。
❤15👍2
Showing the 12 most recent of 21 posts we hold for @cosjav_subs_sc. 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.
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.
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.
“Cos Jav 自制中文字幕分享” (@cosjav_subs_sc), 14,071 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/cosjav_subs_sc.
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.