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Channel
三级片里番真人AI短剧
@JPD233
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
23,024subscribers
+4,074 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003713824040 |
|---|---|
| Type | Channel |
| Username | @JPD233 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/JPD233 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 18:15 | 23,024 | +10 |
| 4 Sept 2026, 08:19 | 23,014 | +148 |
| 2 Sept 2026, 17:43 | 22,866 | +258 |
| 1 Sept 2026, 12:54 | 22,608 | +87 |
| 31 Aug 2026, 12:53 | 22,521 | +21 |
| 30 Aug 2026, 12:45 | 22,500 | +25 |
| 29 Aug 2026, 14:36 | 22,475 | +20 |
| 28 Aug 2026, 17:24 | 22,455 | +49 |
| 27 Aug 2026, 14:05 | 22,406 | +26 |
| 26 Aug 2026, 11:53 | 22,380 | +104 |
| 25 Aug 2026, 14:38 | 22,276 | +78 |
| 24 Aug 2026, 15:25 | 22,198 | +195 |
| 23 Aug 2026, 02:36 | 22,003 | +227 |
| 21 Aug 2026, 11:35 | 21,776 | +118 |
| 20 Aug 2026, 09:36 | 21,658 | +110 |
| 19 Aug 2026, 12:55 | 21,548 | +110 |
| 18 Aug 2026, 09:44 | 21,438 | +130 |
| 17 Aug 2026, 11:24 | 21,308 | +177 |
| 15 Aug 2026, 20:48 | 21,131 | +234 |
| 14 Aug 2026, 12:36 | 20,897 | first reading |
Engagement
377 posts held, back to 6 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 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.96%
- avg views ÷ 23,024 subscribers
- Avg views / post
- 1,600
- 360 posts measured
- Reaction rate
- 0.089%
- reactions ÷ views · ER floor
- Posts in window
- 360
- of 377 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 212 of 360 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 377 (6 August 2026 – 2 September 2026) |
| Views total | 576,709 |
| Reactions total | 310 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:59 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
- 2h 42m
- Average length
- 46s
Measured directly from 214 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
329 reactions across 195 posts, in 7 distinct kinds. The most used accounts for 84.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 279 | 84.8% | |
| 👍 | 34 | 10.3% | |
| 🤡 | 9 | 2.74% | |
| 👎 | 2 | 0.608% | |
| 👏 | 2 | 0.608% | |
| 😁 | 2 | 0.608% | |
| 😴 | 1 | 0.304% |
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 224 of the 377 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 329 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 377 most recent posts we hold, published 6 August 2026 to 2 September 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
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❤1
✅ 连载更新:极品特务别惹卖猪肉的 第3-10集大结局 ✅ 剧情简介 金安市场投票落幕,校长胜选,而猪肉佬迎来法院审判。美女法官秉公执法还其清白,因早已芳心暗许,直接在办公室内大胆献身,迎来圆满大结局。 #真人AI #AI短剧 #成人短剧 #极品特务别惹卖猪肉的 #连载更新 👉 跳转回主帖在线全集观看 👈
AI短剧:我和老师的约定 类型: AI成人短剧 / 校园 / 熟女 集数: 单品 平台: 成人抖音/快手/视频号 ✅ 剧情简介 课后无人的私密教室内,一段越界的约定悄然兑现。端庄优雅的女老师卸下平日的严肃师德,在少年的猛烈攻势下防线崩溃,二人打破师生禁忌底线,展开了一场全程高能、酣畅淋漓的激情双修。 ✅ 看点: * 端庄女老师反差沦陷 * 课后私密教室背德 * 全程高能极致缠绵 #真人AI #AI短剧 #成人短剧 #我和老师的约定 ❗️❗️❗️❗️❗️❗️❗️❗️ 进入机器人👉 @TGClonebackup02bot 点击菜单 - 获取 - 输入口令:flrmaCI4eHwb3o 👇 评论区在线观看 👇
❤1
AI短剧:红楼遗梦 类型: AI成人短剧 / 古风 / 穿越 集数: 多集连载 平台: 成人抖音/快手/视频号 ✅ 剧情简介 现代青年因一场善举意外重生穿越至大观园中。第1-6集中,置身于金陵十二钗的群芳环绕之下,男主凭借前瞻视角游走于温柔乡,与多位风情万种的名门绝色红颜开启了一段改写命运的禁忌风流与红楼秘事。 ✅ 看点: * 经典红楼高能魔改 * 大观园群芳绝色反差 * 穿越风流改写宿命 #真人AI #AI短剧 #成人短剧 #红楼遗梦 ❗️❗️❗️❗️❗️❗️❗️❗️ 进入机器人👉 @TGClonebackup02bot 点击菜单 - 获取 - 输入口令:B2z75ysBTsSIoH 👇 评论区在线观看 👇 1-6集
❤2
✅ 连载更新:母女日常 第6集 ✅ 剧情简介 母亲借口修空调将女儿男友叫到家中,一进门便展开急迫进攻。第6集中解锁高难度技术互动,面对母亲的主动纠缠,男友展开极限应对。 #真人AI #AI短剧 #成人短剧 #母女日常 #连载更新 👉 跳转回主帖在线全集观看 👈
❤2
AI短剧:精神小妹崩老头 类型: AI成人短剧 / 都市 / 荒诞 集数: 多集连载 平台: 成人抖音/快手/视频号 AI模型: Grok / ComfyUI / NovelAI ✅ 剧情简介 街头游荡的精神小妹因缺少零钱,主动提出用私密服务作为替代补偿。第1集中荒诞与欲望交织,在街头角落展开意料之外的香艳戏码。 ✅ 看点: 街头精神小妹荒诞互动 以身代资私密补偿 市井角落意外艳遇 #真人AI #AI短剧 #成人短剧 #精神小妹崩老头 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入机器人👉 @TGClonebackup02bot 点击菜单 - 获取 - 输入口令:ueKDE0JWpRnDcz 👇 评论区在线观看 👇 第1集
❤5
AI短剧:成为老师的奴隶 类型: AI成人短剧 / 校园 / 剧情 集数: 多集连载 平台: 成人抖音/快手/视频号 AI模型: Grok / ComfyUI / NovelAI ✅ 剧情简介 男主在班级的大胆举动被美女班主任抓包,放学后被叫到办公室接受脱衣跪罚调教,却不知这羞耻一幕正被门外的女同学尽收眼底。 ✅ 看点: 黑丝班主任私密调教 办公室下跪受罚惩戒 门外女同学暗中窥探 #真人AI #AI短剧 #成人短剧 #成为老师的奴隶 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入机器人👉 @TGClonebackup02bot 点击菜单 - 获取 - 输入口令:8obPS7c563YRmO 👇 评论区在线观看 👇 第1集
❤3
AI短剧:家中的第三者 类型: AI成人短剧 / 都市 / 伦理 集数: 多集连载 平台: 成人抖音/快手/视频号 AI模型: Grok / ComfyUI / NovelAI ✅ 剧情简介 公寓内悄然多了一名神秘男子,母亲在卧室内与其热烈缠绵。第1-2集中,门外窥探的女儿目睹身影交叠与隐秘喘息,禁忌暗流在夜色中悄然蔓延。 ✅ 看点: 公寓卧室内暗藏私情 母亲与第三者热烈纠缠 门外窥探禁忌升级 #真人AI #AI短剧 #成人短剧 #家中的第三者 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入机器人👉 @TGClonebackup02bot 点击菜单 - 获取 - 输入口令:Vg2dJhpINmC3ox 👇 评论区在线观看 👇 第1集 | 第2集
AI短剧:系统带我攻略弟弟 类型: AI成人短剧 / 都市 / 系统 集数: 多集连载 平台: 成人抖音/快手/视频号 AI模型: Grok / ComfyUI / NovelAI ✅ 剧情简介 特殊系统降临助姐姐重回十年前,醒来后身姿愈发娇媚诱人。第1集中系统发布专属攻略指令,姐姐借由日常互动步步瓦解弟弟的防线。 ✅ 看点: 重生十年前身姿蜕变 系统绑定禁忌攻略 同室相处步步沦陷 #真人AI #AI短剧 #成人短剧 #系统带我攻略弟弟 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入机器人👉 @TGClonebackup02bot 点击菜单 - 获取 - 输入口令:AfpvREvxSdqjDh 👇 评论区在线观看 👇 第1集
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Showing the 12 most recent of 377 posts we hold for @JPD233. 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.
Posts edited after publishing
@JPD233 edited 28 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 2 September 2026
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.
@jisou2 · 1,652,95627 postsMK体育
@MK888bot · 14,92327 postsMK体育—飞投版: MK.BET
@MKFT777 · 2,58327 posts东南亚资讯|聚焦
@rdsjo · 17,51627 posts阿怡 Telegram免费代理 南宫国际/NG系列
@yia1122 · 1,28226 posts成年人影库|高清资源每日更新
@cnryk · 1,7053 posts全网热榜吃瓜中心——-G7.COM独家冠名
@DJDNYBG · 9,2393 postsG7.COM 柬埔寨商家信息导航
@G7JPZSJ · 4,6773 posts东南亚大事件|华人新闻|热点爆料
@SEAUPD · 31,8873 posts成人小说|情色小说|小说精选
@SYXS88 · 2,3663 posts搜女推广 / 推特粉丝 / Twitter粉丝 / X增粉
@zhuqiu88 · 183 posts从零开始|个人日记分享
@zerooffices · 7371 post
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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“三级片里番真人AI短剧” (@JPD233), 23,024 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/JPD233.
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.