我的女友景甜【成人版】 EP 1-6 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
❤3

Channel
@XLABcb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,581subscribers
+8,836 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003898970713 |
|---|---|
| Type | Channel |
| Username | @XLABcb |
| Created | Between 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/XLABcb |
Adult — 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 15:22 | 17,581 | +369 |
| 17 Sept 2026, 00:41 | 17,212 | +581 |
| 15 Sept 2026, 02:57 | 16,631 | +693 |
| 13 Sept 2026, 12:41 | 15,938 | +957 |
| 11 Sept 2026, 20:15 | 14,981 | +1,009 |
| 9 Sept 2026, 08:37 | 13,972 | +430 |
| 6 Sept 2026, 04:01 | 13,542 | +509 |
| 4 Sept 2026, 01:02 | 13,033 | +276 |
| 2 Sept 2026, 15:53 | 12,757 | +197 |
| 1 Sept 2026, 13:48 | 12,560 | +171 |
| 31 Aug 2026, 10:45 | 12,389 | +223 |
| 30 Aug 2026, 10:24 | 12,166 | +176 |
| 29 Aug 2026, 11:35 | 11,990 | +158 |
| 28 Aug 2026, 13:36 | 11,832 | +164 |
| 27 Aug 2026, 12:06 | 11,668 | +185 |
| 26 Aug 2026, 08:33 | 11,483 | +135 |
| 25 Aug 2026, 06:36 | 11,348 | +103 |
| 24 Aug 2026, 06:17 | 11,245 | +313 |
| 22 Aug 2026, 12:08 | 10,932 | +198 |
| 22 Aug 2026, 10:16 | 10,734 | first reading |
98 posts held, back to 22 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 21 pages of 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 80 of 98 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 | 98 (22 August 2026 – 2 September 2026) |
| Views total | 131,242 |
| Reactions total | 276 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 21:14 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.
Measured directly from 95 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.
276 reactions across 74 posts, in 7 distinct kinds. The most used accounts for 63.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 175 | 63.4% | |
| 👍 | 73 | 26.4% | |
| 💋 | 14 | 5.07% | |
| 👏 | 4 | 1.45% | |
| 😁 | 4 | 1.45% | |
| 🔥 | 3 | 1.09% | |
| 🥰 | 3 | 1.09% |
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 80 of the 98 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 276 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 98 most recent posts we hold, published 22 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.
我的女友景甜【成人版】 EP 1-6 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
❤3
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❤2👍2
《一寸金莲情 主仆偷余生》 总预告+第1-2集 简介:清末江南,沈家嫡小姐沈清晏倔强拆裹脚布导致双脚畸形微跛,家生奴婢苏禾忍痛裹出完美三寸金莲。命运错位,苏禾入豪门做妾成主母,清晏沦为落魄穷儒之妻。苏禾买回清晏,主仆身份颠倒,禁忌私情在深夜被撞破,苏禾为护清晏不惜以账册威胁富商,鱼死网破。 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
❤5👍2
共享“逼”时代 1-3 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
👍1
纯欲女友养成计划 1-2 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
【我的女友景甜】第1-2集 剧情介绍:景甜和张继科的故事,恶搞版 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
【被包养的景甜】第1-2集 剧情介绍:叫我妈咪的币圈大佬,他掌控币圈,她掌控他 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
【全班地铁求生/只有我一个男生】第1-2集 剧情介绍:睁开眼,三十多个赤裸的女体铺满铁皮车厢,全班只有一个男的——我。系统说:这是求生。又说:交配,就能变强。绿皮车隆隆驶向第一站,而她们的目光,正一个个落在我身上。 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
《乡村多娇需尽欢》ep第二集 男主来到婶子家中看到了寂寞的婶子自慰然后就被婶子狠狠的教导了如何成为真正的男人 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
《乡村多娇需尽欢》ep第一集 男主重生回到过去意外上山采药获得欢喜神的传承开启逆袭人生 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
至高之梦&梦欲&至高快感(Supreme Dream)(完整版) #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
❤2
射精就穿越 EP1-3 最新成人AI短剧 射精就穿越EP1-3 加班狗马超独自留在蜜月传媒熬夜,压力大到今晚必须解决,结果进厕所看见地上一根粉色的东西。下一秒人已经换了壳,短发眼镜、女体还多出不该有的部位,镜子和手机自拍都在提醒他:这具身体属于办公室里那个很少笑的女人。隔间外小芳喊小林,他慌着解释自己不是,对方听完只丢下一句,那你继续穿越吧。 #ai #色情短剧 #AI色情短剧 #AI短剧 #AI擦边短剧 #成人漫剧 #成人短剧 🚀 群主推荐超稳定VPN 👀 防失联频道 🪙 广告合作
❤4
Showing the 12 most recent of 98 posts we hold for @XLABcb. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“擦边短剧|AI短剧|比看片更过瘾∞” (@XLABcb), 17,581 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/XLABcb.
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.