📱 😀😀😀😀😀😀 《恶鬼新娘》 第三集终章 剧情介绍:明世成被叶雨欣换上了情趣兔女郎服装,开始不可描述的女性体验,最终沦为一只拥有强烈性欲的母狗…… #原创短剧 #成人短剧 #AI短剧 #恶鬼新娘 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
❤2

Channel
@aitv7
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,237subscribers
-256 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1004455835810 |
|---|---|
| Type | Channel |
| Username | @aitv7 |
| Created | Between 1 June 2026 and 7 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/aitv7 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 20:04 | 10,237 | -5 |
| 29 Aug 2026, 21:55 | 10,242 | -6 |
| 28 Aug 2026, 20:07 | 10,248 | -3 |
| 27 Aug 2026, 19:16 | 10,251 | -4 |
| 26 Aug 2026, 20:09 | 10,255 | -9 |
| 25 Aug 2026, 22:07 | 10,264 | -16 |
| 25 Aug 2026, 00:47 | 10,280 | -20 |
| 23 Aug 2026, 12:48 | 10,300 | -11 |
| 22 Aug 2026, 02:29 | 10,311 | -7 |
| 20 Aug 2026, 17:42 | 10,318 | -7 |
| 19 Aug 2026, 14:51 | 10,325 | -9 |
| 18 Aug 2026, 17:04 | 10,334 | -5 |
| 17 Aug 2026, 17:56 | 10,339 | -10 |
| 16 Aug 2026, 15:36 | 10,349 | -32 |
| 15 Aug 2026, 00:53 | 10,381 | -29 |
| 13 Aug 2026, 18:14 | 10,410 | -17 |
| 12 Aug 2026, 14:06 | 10,427 | -10 |
| 11 Aug 2026, 11:04 | 10,437 | -12 |
| 10 Aug 2026, 09:21 | 10,449 | -6 |
| 9 Aug 2026, 12:31 | 10,455 | first reading |
102 posts held, back to 7 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 35 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 4 of 102 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 102 (7 August 2026 – 16 August 2026) |
| Views total | 4,848 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 03:30 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.
Measured directly from 102 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.
6 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6 | 100.0% |
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 102 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 7 August 2026 to 16 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.
📱 😀😀😀😀😀😀 《恶鬼新娘》 第三集终章 剧情介绍:明世成被叶雨欣换上了情趣兔女郎服装,开始不可描述的女性体验,最终沦为一只拥有强烈性欲的母狗…… #原创短剧 #成人短剧 #AI短剧 #恶鬼新娘 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
❤2
⚡️《保姆调教中》第一季今日正式完结!!!⚡️ #AI短剧 #漫改短剧 #AI原创 #保姆调教中 📱😀😀😀😀😀😀 《保姆调教中》 连载短剧 剧情介绍:在富家少爷的调教下,一对当保姆的极品母女被调教成功。 母女双飞,彻底征服,这禁忌快感一发不可收拾! 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
❤1
📱😀😀😀😀😀😀 AI风短视频合集 剧情介绍:《日系女友》《DJ》《足球宝贝》《商场露出》《赛车宝贝》《医院护士》 个个都是奶霸 #AI短剧 #少女 #真人AI #AI合集 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
📱😀😀😀😀😀😀 《爆金女孩》 第1-2集 剧情介绍:没看过,剧情不懂 #AI短剧 #成人AI #漫改AI #爆金女孩 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
❤2
📱😀😀😀😀😀😀 《神之手》 剧情介绍: 想必你们能找到这个作品其中的乐趣,我比较古板,我就写实剧情的啪啪啪,无法欣赏这种幻想类作品😅 #真人AI #原创AI #神之手 #AI短剧 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
❤1
📱😀😀😀😀😀😀 《背叛的她》 漂亮女友天天都加班,原来是办公室里有肌肉猛男 #AI短剧 #成人AI #背叛的她 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
⚡️ 【高三爱情故事|B中爱情故事】新剧首发 全系列完整版共21集 已更 ⚡️ 📱😀😀😀😀😀😀 《高三爱情故事|B中爱情故事》 EP7正片 小怡篇 剧情介绍: 年度爆火短剧,全局所有角色都是虚拟人物,且已🈵十八岁。本剧算是一个有年代感的校园爱情剧,一个离异的高三男教师和众多美女学生的情感纠葛以及男友前妻小怡极度反差的堕落史,居中每个人物都有特定的家庭背景赘述,剧情元素丰富,包含了师生虐恋,姐弟,兄妹乱伦,人妻出轨,反差调教,校园潜规则等等,具体我就不一一解读了,总而言之这绝对算是目前为止AI短剧系列中最为经典的剧情好作了。 师生虐恋🟣兄妹乱伦🔵姐弟乱伦🔴人妻出轨🟣反差调教🔵各种潜规则🔴群P淫趴 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
⚡️ 重磅新剧【夫妻游戏】 正式上线 首更四集 ⚡️ #真人AI #AI短剧 #夫妻游戏 #9PM 📱😀😀😀😀😀😀 《夫妻游戏》 EP1正片🙂🙂🙂🙂 剧情介绍:5对高颜值的“贫穷”夫妻参与赢得高额奖金的竞技游戏...随着游戏的不断升级,尺度也越来越大... 从夫妻间的性爱逐渐发展成换妻性爱...😍会不会有10人大乱斗呢😝 🪩这个厂牌主要以漫改AI短剧为主,目前相继出品的《美丽新世界》《长途列车》《保姆调教中》《堕落物语1》《堕落物语2》《忍界后宫》《黑暗圣经》《老公要求别人玩弄我》 内群均已同步更新。。。 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
📱😀😀😀😀😀😀 【神瞳觉醒】EP07 剧情介绍:掌控欲望的快感竟如此令人上瘾!男主利用催眠能力,将骚货女老师在办公室玩弄至瘫软, 更在她无能的丈夫面前宣示主权,还命令女老师回家做他的女仆!想不到刚带女老师一进门,竟撞见母亲正和老板... #催眠神瞳 #禁忌之爱 #黄果短剧 #AI短剧 #神瞳觉醒 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
📱😀😀😀😀😀😀 《隐欲的秘密》 EP1-2 剧情介绍: 剧情自己解剖吧,这种局我只看关键的那十几秒😂 #AI短剧 #原创短剧 #擦边短剧 #隐欲的秘密 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
📱😀😀😀😀😀😀 《谎言》 第一集 剧情介绍:老公电话查岗,女主谎称和闺蜜们在外面看球,然而挂了电话就和野男人在KTV厕所大干起来 #AI短剧 #成人AI #真人短剧 #谎言 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
⚡️ 重磅新剧【夫妻游戏】 正式上线 内群同步更新⚡️ #真人AI #AI短剧 #夫妻游戏 #9PM 📱😀😀😀😀😀😀 《夫妻游戏》 EP6 正片 任务继续 🙂🙂🙂🙂 剧情介绍:5对高颜值的“贫穷”夫妻参与赢得高额奖金的竞技游戏...随着游戏的不断升级,尺度也越来越大... 从夫妻间的性爱逐渐发展成换妻性爱...😍会不会有10人大乱斗呢😝 🪩这个厂牌主要以漫改AI短剧为主,目前相继出品的《美丽新世界》《长途列车》《保姆调教中》《堕落物语1》《堕落物语2》《忍界后宫》《黑暗圣经》《老公要求别人玩弄我》 同步更新。。。 👍完整版加入会员群直接搜索剧名 ➡️点击这里【会员vip24小时自助开通】
Showing the 12 most recent of 102 posts we hold for @aitv7. 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 — 959,087 of 1,628,927entries 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.
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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“AI成人短剧【快播预览】” (@aitv7), 10,237 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/aitv7.
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.