Chooooovy!今年是真的不一样了!下周会同意吗

Channel
『偉哥映像®』
@WeII_Studio
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,777subscribers
+8 since we began measuring on 8 November 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1004317272469 |
|---|---|
| Type | Channel |
| Username | @WeII_Studio |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 November 2026 |
| Last confirmed live | 9 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 9 November 2026 |
| On Telegram | t.me/WeII_Studio |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Nov 2026, 11:36 | 4,777 | +8 |
| 8 Nov 2026, 23:22 | 4,769 | no change |
| 8 Nov 2026, 22:47 | 4,769 | first reading |
Engagement
13 posts held, back to 28 October 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
- 58.5%
- avg views ÷ 4,777 subscribers
- Avg views / post
- 2,800
- 13 posts measured
- Reaction rate
- 0.073%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 13 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 4 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 13 (28 October 2026 – 8 November 2026) |
| Views total | 36,336 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 23:22 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
- 7m 16s
- Average length
- 3m 38s
Measured directly from 2 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
5 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 80.0% | |
| 👏 | 1 | 20.0% |
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 4 of the 13 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 28 October 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 11 of 13 posts held from the last 30 days (84.6%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
杏吧渣男主打重金约炮,常见五千到一万,外围发单上门为主。对象多为高颜值、身材出色的女孩,比如胸模、姐妹花、夜店系、黑丝白虎嫩妹等,整体颜值与身材质量较高,审美比较在线。内容以第一人称实拍为主,在圈内口碑不错。 • 极品超嫩COS萝莉妹 观影码【探花cos】(点击方框内即可复制) 点击此处进入放映厅,输入观影编码观影 📖添加全家桶 返回目录页⬅️
91猫先生(也叫糖心UP猫先生、91MrCat) 是糖心Vlog上非常有代表性的原创约炮类男UP主。 主要拍自己和各种女伴的实战内容,风格偏真实约炮记录,而不是纯剧本AV。常见标签和题材包括丝袜、空姐、OL制服、美腿玉足、学生妹、网红脸等,国语对白,强调现场感和互动。他自己也常打千人斩人设,作品数量庞大,在糖心平台有认证,完整版一般在糖心Vlog上,Twitter/X上会发预告和片段引流。 1.女主质量确实是他比较突出的地方。 挑的女生整体颜值、身材、气质在业余或约炮圈子里属于中上甚至更高一档的:不少爆乳、腰细、腿长、妆容精致的类型,空姐、学院派、秀人网风格女神都有出现,视觉冲击力强,不会让人觉得凑合。互动时很多女生配合度高、表情管理有时会失控,看起来代入感很强。 2.缺点也很明显,时长比较短。 很多作品剪辑后偏短,有的刚进入状态就结束,或者重点段落不够展开,容易觉得意犹未尽。拍摄手法相对直接,灯光、机位、后期不算特别精致(毕竟…
❤1
不知道是不是因为今天去了个挺日系的妹妹,回来后又无意间刷到了小吉高主演的《摇曳不安的心》这部片子。 这电影的剧情其实挺神人的,能成为抽象电影解说的常客,确实有它的道理。但吐槽归吐槽,镜头语言还是很有感觉的。那股日式的暧昧、疏离,还有隐隐约约的不安,混在一起,莫名得抓人。而且真的是把小吉高拍的绝美,有些地方的神人剧情也就懒得说了,光看她就够了。属于是觉得离了个大谱,但审美又舍不得关的。 硬要说看完有什么感受,大概就是:嫖娼需谨慎,男孩子在外面也要保护好自己。本来当文艺片看的,最后硬是看成了安全教育片。
因为在亿瑶的报告里提到了这部作品,也是重温一下童年经典。年轻的时侯第一次看都看傻了,《夜勤病栋》在当时确实属于那种一上来就往死里干的作品。不是先铺垫暧昧、慢慢升温,而是直接把调教、强制、药物、器械、心理压迫这些东西砸到脸上。画面和氛围又偏偏做得比较写实、阴冷,不像后来很多里番会故意做得卡通化、轻松化。在我的童年印象里,能超越这部作品的只有《暗黑成人体操》了。《夜勤病栋》那种阴冷、强制、逐步把人玩坏的感觉,加上暗黑成人体操那类更极端的冲击,合在一起对口味的塑造力是很大的。尤其是对三通、调教、权力差这些方向的偏好。不得不说,大多数人对某些特定play的偏好,其实都能追溯到小时候某几部印象特别深的作品。 • 这部作品在里番中属于较早且影响力较大的医院调教题材代表作之一,可以说是梦开始的地方。与当时成人动画相比,它以较高的作画质量、较为完整的剧情结构和角色心理描写著称,把美与丑、奉献与利用、纯真与堕落的对比表现得比较极致。整体氛围压抑、…
杭州的各大频道主 (排名不分先后) • 图一:大D(认准 @dadbaobao ) • 频道:®𝘿𝙖𝙙𝙏𝙑(杭州、上海) 色影区顶流,杭州实拍天花板+视频白皮书。 • 群组:杭州福利姬 福利多到离谱,榜单几乎全是视频女主。 想当男主的兄弟,别错过。 • 图二:爆破(缅怀版) @BaopoZJ • 频道:杭州爆破(出击记录仪) 只吃好菜,每个价位都挑最出类拔萃的老师。 我在杭州主要参考的频道主,稳。 • 群组:杭州爆破严选群(5.0涅槃重生) 目前感觉聊天氛围最好的群,零水群、纯干货。 • 图三:Mi Ke(出击老兵)出关 @miiikee1985 • 频道:Mi哥大讲堂(杭州、上海) 出击皇帝,老师亲证。同样的只吃好菜。 人肉扫描仪 + 文字白皮书,精准到可怕。 • 图四:💸𝓝𝓲𝓬𝓬𝓬(黑暗模式) @xyz139998 • 频道:未知天赋异禀𝓣𝓥 同好必看,纯正大黑龙。 镜头带着一种原始冲动,视频性张力爆表。 • 图五:田木 @…
林绾绾的风格可以概括为典型的 M属性反差御姐,核心卖点非常明确、集中,不走花哨复杂的路线。 主要风格特点 • 外形与气质定位:偏成熟御姐型,身材强调长腿、翘臀、丰满胸部,整体给人精致、高冷的感觉。很多素材里她穿着职业感或制服时看起来挺端庄,一到私密场景就完全放开,这种表面女神、私下玩物的反差是最大吸引力。 • 标志性元素(几乎每条相关内容都会出现): • 黑丝 / 丝袜:超高频出现,薄黑丝、油光黑丝、吊带丝袜都有,腿部特写很多。 • 空姐制服 / 职业制服:空姐装是她的招牌之一,经常搭配黑丝和高跟,营造工作服下的秘密的感觉。 • 玉足 / 脚部:专门有脚部自拍和足交相关内容,粉丝里脚控不少。 • 高跟、情趣内衣、蕾丝:用来强化性感氛围。 内容类型与表现方式 她的作品以自拍 + 实拍视频为主,制作不算特别精良(更偏真实感和私密感),但胜在尺度直接: 1. 个人向:自慰、道具(跳蛋等)、黑丝腿部特写、脚部展示。 2. …
师资精挑细选、软硬件在线,杭城精品 杭州回忆录八成出自此榜,含金量极高 中粮四美独占其二,黄金十月独领风骚 • 点击加入群聊 • 爆破个人频道 • 严选榜单老师 缇米|格格|baby|Ruila|方圆|湾湾|加一|金诺诺|迪拉热|榣亦榣|苏妲己|娜伊贝贝 📖添加全家桶 返回导航页⬅️
约炮视频,因为是素人所以就不放露脸照和联系方式了,兄弟们看个热闹吧。 • 本人挺白的,网红脸小只马。意外的很贤惠,还煲了汤。操完还能蹭个饭补充下营养,挺好。 观影码【约炮1】(点击方框内即可复制) 点击此处进入放映厅,输入观影编码观影 📖添加全家桶 返回目录页⬅️
杏吧老猫属于非常典型的探花视频,第一视角记录约炮/外送过程,强调现场真实感,而非专业剧本拍摄。多涉及较高价位的约见,女方常被标注为模特、混血留学生、健身达人、巨臀或高颜值类型,内容侧重身材展示、互动与体力表现。 • 三个骚逼排队操,战神来也得吃药 观影码【探花三飞】(点击方框内即可复制) 点击此处进入放映厅,输入观影编码观影 📖添加全家桶 返回目录页⬅️
❤1
第一次看到她的时候,真的惊为天人!那种真实好看的冲击感,在如今的日本Av市场属实少见。 • 在没有美颜、没有滤镜、没有AI修图的年代,画面质感偏软、光线自然,很多女优一上镜就会暴露真实五官和皮肤状态。可黒沢あゆみ不一样。她的脸干净、清秀,眼睛很大,五官比例很舒服,带一点幼齿感和干净的气质,却又不是那种完全无害的娃娃脸。整体看着很有辨识度,让我想起年轻时候很火的Wonder Girls里的昭熙——那种东亚女生里偏清透、有点灵气的长相。 • 当时的日本AV和现在的感觉相差很大,没有那么流水线。资金相对充足,画面更讲究氛围和光线,演绎也没那么用力、那么表演感。很多作品就是把人自然地放在场景里,靠脸、靠身体、靠气氛本身去支撑。黒沢あゆみ刚好就很适合那个时代的调性:纤细、清纯,B杯的身材反而更衬她那种干净感,不会喧宾夺主。 • 她活动时间不长,大概1991到1993年前后,作品也不算特别多,后来基本就淡出了。但正因为短,留下的印象反而更集…
❤2👏1
小陈和小王|长沙偶遇的一位夫妻档博主 • 左图为小王 湖南本地老炮儿,长沙活地图级别的存在。 推特三十万粉,做探店很专业,全国很多地方都有他的足迹。 视频风格很鲜明,角度刁钻,尺度也比较大,看完印象很深。 和我聊下来很投缘,话题投机,有种相见恨晚的感觉。 • 右图为小陈 夫妻两人本身也很有意思,喜欢NTR相关的内容。 我平时对三坑无感,但初见也被她一身JK制服惊艳到了。 身材和气质都很好,属于那种让人会真心羡慕的类型。 软件更是无话可说:馒头逼 + 一线天,兄弟真是好福气啊。 如果对探店和NTR这类风格感兴趣,可以去看看。 ✈️ @xiaochen000007 👑 @xcxwhxj • 长沙往期帖 长沙SM体验馆探店|长沙扫街&莎莎舞厅探店 📖添加全家桶 返回导航页⬅️
Showing the 12 most recent of 13 posts we hold for @WeII_Studio. 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 9 November 2026 — this entry's latest reading, not the date you are reading this.
“『偉哥映像®』” (@WeII_Studio), 4,777 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/WeII_Studio.
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.