AI短剧:高三爱情故事 类型: AI禁忌短剧 / 校园堕落 集数: 全21集(完整版) 平台: Telegram ✅ 剧情简介 纯情校园?不存在的!一个离异男老师直接把学校变成了自己的私人肉库。乖乖女学生在讲台下被玩坏,反差前妻在办公室被干到求饶。禁忌师生、乱伦兄妹,各种没底线的肉欲禁忌管够。看着那些清纯的小脸在快感中崩坏,这种把伦理踩在脚下蹂躏的堕落快感,你得赶紧进来尝尝! ✅ 本集看点: - 禁忌师生直接在课桌上发情 - 前妻小怡被玩成骚货的反差绝顶 - 乱伦出轨的肉洞盛宴,全程无码冲击 #AI成人短剧 #校园禁忌 #高三爱情故事 🔞 内部群已按剧名分类归纳 🔝 点置顶消息进内部群

Channel
🅰️Ai短剧社|明星短剧🔞-备用1
@duanjvshev0
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
1,097subscribers
+1,079 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003139286048 |
|---|---|
| Type | Channel |
| Username | @duanjvshev0 |
| Created | Between 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/duanjvshev0 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 03:23 | 1,097 | +14 |
| 30 Aug 2026, 11:54 | 1,083 | +12 |
| 27 Aug 2026, 15:44 | 1,071 | +15 |
| 24 Aug 2026, 09:19 | 1,056 | +8 |
| 20 Aug 2026, 16:44 | 1,048 | +6 |
| 17 Aug 2026, 10:07 | 1,042 | +1,024 |
| 11 Aug 2026, 18:01 | 18 | no change |
| 8 Aug 2026, 07:48 | 18 | first reading |
Engagement
7 posts held, back to 11 August 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
- 0.508%
- avg views ÷ 1,097 subscribers
- Avg views / post
- 5.6
- 7 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 7
- of 7 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 7 (11 August 2026 – 11 August 2026) |
| Views total | 39 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 18:01 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
- 55m 28s
- Average length
- 7m 55s
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.
Recent posts
AI短剧:高中少女被Q记 类型: AI成人短剧 / 禁忌囚禁 集数: 3集(首集震撼开启) 平台: Telegram ✅ 剧情简介 纯白校花撞进死胡同,直接成了大叔的猎物。制服被粗暴撕烂,还没等她哭完,就被那根粗壮的玩意儿给顶穿了。从绝望地求饶到被玩成只会流水的小骚货,地窖里的每一分每一秒,她都在被大叔彻底开发成专属的肉便器,只剩下一腔淫水在绝望中翻滚。 ✅ 本集看点: - 禁忌校服暴力撕裂 - 纯洁花蕾被大叔粗暴揉烂 - 绝望地窖里的肉欲调教 #AI短剧 #高中少女被Q记 #禁忌肉欲 🔞 内部群已按剧名分类归纳 🔝 内部视频都是高清画质
AI短剧:穿越成了一头猪 类型: AI禁忌短剧 / 异兽肉欲 集数: 连载中(内群已更新至第5集) 平台: Telegram ✅ 剧情简介 穿越成了头猪怎么搞?直接变成纯粹的肉欲机器!不用管道德,就管怎么把那些禁欲的人妻、高傲的女妖一个个给干趴下。粗壮的活塞在肉洞里横冲直撞,看着平日里端庄的女人被操成浪货、哭着求饶的模样,这种野蛮的禁忌快感简直让人颅内高潮! ✅ 本集看点: - 粗暴猪根强行破防 - 极品禁欲女被操成水滩 - 毫无底线的禁忌肉洞开发 #穿越成了一头猪 #禁忌肉欲 #AI成人短剧 🔞 内部群已按剧名分类归纳 🔝 内部视频都是高清画质
AI短剧:灌篮高手-仙道篇 类型: AI成人短剧 / 都市禁忌 / 极致肉欲 集数: 多集连载 平台: 成人抖音/快手/视频号 ✅ 剧情简介 球场上的顶级操盘手,私下里更是个把女人玩得服服帖帖的肉食系野兽。仙道这回不打球,改打“人体禁区”了。前几集只是前戏,后面直接快进到正片:看他怎么在更衣室把那些骚货给干穿,用最禁欲的脸,干最下流的活,让所有渴望他的肉体在激烈的冲撞中彻底崩溃。 ✅ 本集看点: - 禁欲白少年化身顶级肉棍 - 更衣室里的淫乱交响曲 - 禁区内的高能肉体揉碎 #AI成人短剧 #灌篮高手仙道篇 #禁忌肉欲 🔞 未成年人请自觉离开 🔝 内部群已按剧名分类归纳
AI短剧:禁忌游戏 类型: AI背德禁区 / 伦理崩坏 集数: EP1-6 全集 平台: Telegram ✅ 欲罢不能的剧情 撕掉那层虚伪的遮羞布,在这个屋檐下,只要是能喘气的亲人都能变成胯下的玩物。AI直接把最脏的乱伦幻想给拍出来了:不管是禁忌的父女偷情,还是公媳在客厅的肉搏,甚至是母子间没底线的疯狂交媾。关系越乱,水就越多,全程只有最原始的肉洞冲撞,让你看得血脉偾张。 ✅ 绝对刺激点: - 全家乱搞,伦理喂狗 - 禁忌肉林,汁液横流 - 极致背德,破禁快感 #禁忌游戏 #AI色情短剧 #背德伦理 🔞 未成年人请自觉离开 🔝 内部群已按剧名分类归纳
AI短剧:荒野秘闻录 类型: AI成人短剧 / 禁忌车内 / 野外 集数: 第二集 平台: Telegram ✅ 剧情简介 穷游妹子在无人区被渴成干,只能乖乖爬上老司机的车求救。狭窄的驾驶室里,空调吹不散那股子骚味,女驴友着了急,直接在方向盘上把腿张开了。在这没人的鬼地方,没钱买票就得用身子抵,老司机的粗活直接把车窗顶得雾蒙蒙,在这荒山野岭,只要想干,怎么搞都行。 ✅ 本集看点: - 狭窄空间肉体死磕 - 没钱坐车用屁股换 - 荒野车内直接开搞 #成人短剧 #野外禁忌 #荒野秘闻录 🔞 内部群已按剧名分类归纳 🔝 点置顶消息进内部群
AI短剧:金麟岂是池中物 (第7集) 类型: AI都市 / 禁忌征服 集数: 连载更新 平台: Telegram ✅ 肉戏剧情 穷屌丝逆袭成顶级大佬,最爽的不是赚多少钱,而是把那些平日里高不可攀的极品尤物全给弄到手。这集直接开干,看他怎么把端庄贵妇、高冷女强人一个个按在墙上,撕烂她们的假正经,用最粗暴的方式把她们玩得水漫床榻,让这些高傲的女人在快感中求饶,彻底变成他的专属肉奴。 ✅ 禁忌看点: - 顶级尤物被玩坏 - 粗暴撕碎伪装 - 禁忌肉欲狂欢 #都市逆袭 #禁忌征服 #金麟岂是池中物 🔞 内部群已按剧名分类归纳 🔝 内部群高清视频连载中
Showing the 7 most recent of 7 posts we hold for @duanjvshev0. 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.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“🅰️Ai短剧社|明星短剧🔞-备用1” (@duanjvshev0), 1,097 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/duanjvshev0.
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.