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Channel

三级片里番真人AI短剧

@JPD233

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

44,826subscribers

+25,876 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003713824040
TypeChannel
Username@JPD233
Description分享全球影视作品:动漫|里番|三级片|情色片|伦理片|电影|电视剧|动漫|日剧|港剧|韩剧等等 ❤️从零开始工作室|旗下栏目|广告招租| 🩷永久导航: @ZeroOffices 💛人工客服: @tggeltd02 💚双向客服: @TGNumber002_bot
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live10 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/JPD233

Topic

Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

18,95046,73732,843.544,8268 August 202610 November 2026
61 measurements spanning 94 days, net +25,876. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 14,782–50,905 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
10 Nov 2026, 08:4144,826+229
8 Nov 2026, 20:2844,597+329
7 Nov 2026, 09:4644,268+237
6 Nov 2026, 12:4044,031+178
5 Nov 2026, 15:4943,853+231
4 Nov 2026, 12:4843,622+253
3 Nov 2026, 13:2643,369+287
2 Nov 2026, 10:3643,082+219
1 Nov 2026, 09:1942,863+296
31 Oct 2026, 09:5442,567+256
30 Oct 2026, 10:4542,311+370
29 Oct 2026, 10:4941,941+265
28 Oct 2026, 11:1641,676+199
27 Oct 2026, 11:1141,477+99
26 Oct 2026, 13:5741,378+114
25 Oct 2026, 10:2841,264+130
24 Oct 2026, 08:1641,134+128
23 Oct 2026, 11:0641,006-5,731
22 Oct 2026, 12:3446,737+295
21 Oct 2026, 05:1246,442first reading

Engagement

1,191 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 153 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.51%
avg views ÷ 44,826 subscribers
Avg views / post
2,470
529 posts measured
Reaction rate
0.076%
reactions ÷ views · ER floor
Posts in window
529
of 1,191 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 384 of 529 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held1,191 (6 August 2026 – 11 November 2026)
Views total1,305,575
Reactions total726
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:14 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

Photos
≈1,460
Videos
≈441
Links
≈1,900

Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1h 59m
Average length
28s

Measured directly from 256 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

1,843 reactions across 630 posts, in 13 distinct kinds. The most used accounts for 61.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,14061.9%
👍30216.4%
🎉965.21%
🔥955.15%
🤩924.99%
👏894.83%
🤡160.868%
👎60.326%
😁30.163%
🌚10.054%
💩10.054%
😴10.054%
🦄10.054%

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 723 of the 1,000 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 1,843 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 21 August 2026 to 11 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: 251 of 529 posts held from the last 30 days (47.4%) 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).

11 Nov 2026, 13:57 UTC≈2,050 views3 reactionsread 12 November 2026
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❤3

11 Nov 2026, 13:52 UTC≈1,900 views1 reactionsread 12 November 2026
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AI短剧:床笫 类型: AI成人短剧 / 卧底禁忌 / 剧情 集数: 多集连载 平台: 成人抖音/快手/视频号 模型: Grok / ComfyUI / NovelAI / Seedance ✅ 剧情简介 沈清芷以歌姬身份潜入裴府,任务是取得信任。夜宴后裴镇把她强势留下,衣衫半解,身体压在一起,喘息交织。组织来信催她尽快下手,可每一次被他按在身下,真情和任务都在剧烈拉扯。关系从一开始就埋着崩塌的火,她越陷越深,已经分不清哪一次是假的。 ✅ 看点: 卧底身份与真情肉体的双重拉扯 裴镇强势占有与她的半推半就 任务与高潮同时逼近的危险边缘 #真人AI #AI短剧 #成人短剧 #床笫 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入 👉 @TGClonebackup02bot 菜单 - 获取 - 输入口令:LmZp9cbwlCdLh6 👇 评论区在线观看 👇 第1集 | 第2集 | 第3集 | 第4集 | 第5集 第6集

❤1

11 Nov 2026, 13:51 UTC≈1,840 views2 reactionsread 12 November 2026
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AI短剧:泰绿 类型: AI成人短剧 / NTR / 绿帽 集数: 多集连载 平台: 成人抖音/快手/视频号 模型: Grok / ComfyUI / NovelAI / Seedance ✅ 剧情简介 结婚十周年,他把老婆灌醉,换上蕾丝超短裙。三个壮汉围上床,轮流把她操到腿软,她含着满嘴浓精睡死过去。他站在旁边笑着说3比0只是开始,明早她还会记得今晚被多少人内射吗?精液顺着腿根往下淌,她还在无意识地夹着。 ✅ 看点: 灌醉后直接换上蕾丝被轮 老公在旁边看完全程 精液灌满后她睡死的反差 #真人AI #AI短剧 #成人短剧 #泰绿 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入 👉 @TGClonebackup02bot 菜单 - 获取 - 输入口令:kd2r4vqQ0NefEP 👇 评论区在线观看 👇 第1集 | 第2集

❤2

11 Nov 2026, 13:48 UTC≈1,840 views1 reactionsread 12 November 2026
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AI短剧:失控的万圣节乐园 类型: AI成人短剧 / 万圣节主题 / 欲望失控 集数: 多集连载 平台: 成人抖音/快手/视频号 模型: Grok / ComfyUI / NovelAI / Seedance ✅ 剧情简介 霓虹与烟雾把整座乐园撕成欲望碎片。性感女巫和紧身猫女在人群里穿梭,香水混着汗水与湿润气息,音乐盖不住那些压抑到极致后彻底放纵的呻吟。她被拉进暗处时还在笑,下一秒就被按在栏杆上,万圣节的狂欢彻底变成失控的猎场。 ✅ 看点: 万圣节主题乐园的集体放纵 女巫装与猫女装的身份反差 烟雾与霓虹下的高能视听刺激 #真人AI #AI短剧 #成人短剧 #失控的万圣节乐园 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入 👉 @TGClonebackup02bot 菜单 - 获取 - 输入口令:12OW3Z14oqjdSZ 👇 评论区在线观看 👇 第1集

❤1

11 Nov 2026, 13:47 UTC≈1,780 viewsread 12 November 2026
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11 Nov 2026, 13:40 UTC≈1,790 views2 reactionsread 12 November 2026
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AI短剧:午夜零点,请认出我 类型: AI成人短剧 / 都市禁忌 / 试探拉扯 集数: 多集连载 平台: 成人抖音/快手/视频号 模型: Grok / ComfyUI / NovelAI / Seedance ✅ 剧情简介 时钟指向十二点,城市灯火沉寂。她站在熟悉又陌生的街角等他,四目相对时眼神全是试探与期待。这一夜她不再是白天那个克制的人,被按在车门上时呼吸彻底乱了,午夜的试探迅速滑向失控的占有。 ✅ 看点: 午夜零点的身份试探 熟悉与陌生的反差拉扯 街角到车内的欲望升级 #真人AI #AI短剧 #成人短剧 #午夜零点,请认出我 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入 👉 @TGClonebackup02bot 菜单 - 获取 - 输入口令:VotFRULpFhTWUh 👇 评论区在线观看 👇 第1集

❤1👍1

11 Nov 2026, 13:38 UTC≈1,810 views2 reactionsread 12 November 2026
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✅ 连载更新:我在女寝有张床 第2-3集 ✅ 剧情简介 青梅突然跑来和三个校花舍友抢人,直接把我拉进卫生间脱裤子。御姐瞬间从强势变得脆弱,下一秒就在河边跪下来含住,后宫争夺从争抢升级成当场失控的臣服与口交。 #真人AI #AI短剧 #成人短剧 #我在女寝有张床 #连载更新 👉 跳转回主帖在线全集观看 👈

❤1👍1

11 Nov 2026, 13:35 UTC≈1,720 views2 reactionsread 12 November 2026
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AI短剧:午夜糖果 类型: AI成人短剧 / 便利店禁忌 / 直接失控 集数: 多集连载 平台: 成人抖音/快手/视频号 模型: Grok / ComfyUI / NovelAI / Seedance ✅ 剧情简介 午夜十二点的便利店里,男人从身后贴近,盯着她的脖颈和唇。她没躲开,笑着把糖递到他嘴边说“要不要尝尝?很甜的”。下一秒就被带回沙发,从试探变成狠狠内射到彻底失控,便利店的安静被连续的撞击声撕碎。 ✅ 看点: 便利店深夜的直接挑逗 从递糖到被内射的反差 沙发上的高密度失控画面 #真人AI #AI短剧 #成人短剧 #午夜糖果 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入 👉 @TGClonebackup02bot 菜单 - 获取 - 输入口令:U7J6Zx6McjlAzl 👇 评论区在线观看 👇 第1集

❤1👍1

11 Nov 2026, 13:35 UTC≈1,700 views1 reactionsread 12 November 2026
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👍1

11 Nov 2026, 13:32 UTC≈1,670 views5 reactionsread 12 November 2026
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AI短剧:姐姐正在裸睡 类型: AI成人短剧 / 兄妹禁忌 / 主动沉沦 集数: 多集连载 平台: 成人抖音/快手/视频号 模型: Grok / ComfyUI / NovelAI / Seedance ✅ 剧情简介 客厅沙发上,姐姐主动把衣服解开,自己用手按住双手方便进入。硬挺直接整根没入,她随后揉着奶子配合抽插,从最初的试探变成彻底配合的沉沦,兄妹禁忌在沙发上被一次次撞到升温失控。 ✅ 看点: 姐姐主动按手配合的反差 沙发上的整根没入与揉奶 兄妹关系从暧昧到彻底失控 #真人AI #AI短剧 #成人短剧 #姐姐正在裸睡 ❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️❗️ 进入 👉 @TGClonebackup02bot 菜单 - 获取 - 输入口令:WkvZNvCLx4EMU4 👇 评论区在线观看 👇 第1集 | 第2集 | 第3集 | 第4集

❤3👍2

11 Nov 2026, 13:30 UTC≈1,640 views0 reactionsread 12 November 2026
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11 Nov 2026, 13:19 UTC≈1,560 viewsread 12 November 2026
Video

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Showing the 12 most recent of 1,191 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 43 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
11 November 2026

Posts recorded as deleted after publishing

We recorded 18 posts on @JPD233 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
5 October 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
0

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“三级片里番真人AI短剧” (@JPD233), 44,826 subscribers as measured 10 November 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.